{
  "schemaVersion": "deck-intelligence.v1",
  "id": "019de06f-b8a3-7331-8935-2a15d6d59d93",
  "slug": "041e12e95b005675c8303cd029ca09ef",
  "title": "OpenAI | Product Presentation Deck | 64 slides",
  "subtitle": "OpenAI · 2018-09",
  "author": "OpenAI",
  "date": "2018-09-01 00:00:00",
  "pageCount": 64,
  "kind": "conference-presentation",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "document": {
    "id": "019de06f-b8a3-7331-8935-2a15d6d59d93",
    "slug": "041e12e95b005675c8303cd029ca09ef",
    "title": "OpenAI | Product Presentation Deck | 64 slides",
    "rawTitle": "OpenAI | Product Presentation Deck | 64 slides",
    "authorId": "openai",
    "authorName": "OpenAI",
    "authorDisplay": "OpenAI",
    "kind": {
      "slug": "conference-presentation",
      "label": "Conference presentation"
    },
    "sourceType": {
      "slug": "investor_relations",
      "label": "Investor relations"
    },
    "fileName": "2018-09__openai__product__041e12e9.pdf",
    "sourceUrl": "https://www.slidebook.io/company/openai/presentation/041e12e95b005675c8303cd029ca09ef/",
    "sourceDate": null,
    "presentationDate": "2018-09-01 00:00:00",
    "ingestedAt": "2026-04-30 22:08:31.498844+00",
    "status": "ready",
    "pageCount": 64,
    "orientation": "landscape",
    "aspectRatio": 1.7777778,
    "targetCompany": null,
    "targetTicker": null,
    "metadata": {
      "corpus": "slidebook",
      "industry": "information-technology-services",
      "local_root": "/Users/miguelsuredasuau/Desktop/lalalalla/_scrape/slidebook/decks/2018-09__openai__product__041e12e9",
      "image_width": 1920,
      "image_format": "jpg",
      "deck_type_raw": "Product Presentation Deck",
      "deck_type_slug": null,
      "source_url_pattern": "https://www.slidebook.io/company/{company_slug}/presentation/{deck_id}/"
    }
  },
  "coverage": {
    "pageCount": 64,
    "pagesIndexed": 64,
    "pagesWithImages": 64,
    "pagesWithMetadata": 64,
    "imageCoveragePct": 100,
    "metadataCoveragePct": 100,
    "componentCount": 182,
    "chartCount": 6,
    "metricSlides": 0,
    "toolMatches": 26,
    "documentToolMatches": 0,
    "frameworkMatches": 29,
    "arcMatches": 0,
    "beatMatches": 0,
    "loopMatches": 2,
    "patternMatches": 0,
    "storymakersMatch": false,
    "scoreAvailable": false,
    "reviewAvailable": false,
    "activistThesisAvailable": false,
    "pitchdeckMetadataAvailable": false,
    "pitchdeckProfileAvailable": false
  },
  "blocks": [],
  "matches": {
    "arcs": [],
    "beats": [],
    "loops": [
      {
        "to": 18,
        "from": 11,
        "loop": {
          "name": "03_aha_moment",
          "slug": "03-aha-moment",
          "status": "active",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "description": "Establish a tension, present data, then deliver the insight that changes everything",
          "familyLabel": null,
          "categoryName": "Narrative",
          "categorySlug": "narrative"
        },
        "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
        "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
        "position": 0,
        "objective": "Reinforcement learning actually works",
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 22:07:12.266826+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      },
      {
        "to": 49,
        "from": 40,
        "loop": {
          "name": "27_cost_of_inaction",
          "slug": "27-cost-of-inaction",
          "status": "active",
          "bestFor": "Urgent budget requests, compliance, risk mitigation",
          "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
          "version": 1,
          "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
          "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
          "description": "Quantify what happens if the audience does nothing",
          "familyLabel": null,
          "categoryName": "Urgency",
          "categorySlug": "urgency"
        },
        "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
        "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
        "position": 1,
        "objective": "The importance of taking AGI seriously",
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-16 22:07:12.299123+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": "doc-narrative-v1"
        }
      }
    ],
    "tools": [
      {
        "tool": {
          "name": "Audience Definition",
          "slug": "audience-definition",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
          "version": 1,
          "bodyDocId": null,
          "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "810dd94a-26a7-4286-b2aa-38f3d931af8a",
        "evidence": "OpenAI: our goal",
        "pageRefs": null,
        "priority": "Core",
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-17 03:30:26.37526+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 1,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "List presentation",
          "slug": "list-presentation",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
          "version": 1,
          "bodyDocId": null,
          "description": "Bulleted, numbered, or checklist enumerations.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "d6bec810-9174-4a91-8df3-cbccda088357",
        "evidence": "list/bullet: Add noise to actions",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:43.946582+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 14,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "List presentation",
          "slug": "list-presentation",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
          "version": 1,
          "bodyDocId": null,
          "description": "Bulleted, numbered, or checklist enumerations.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "11acb2f3-a47c-44e2-8cfc-7cf35e69bd16",
        "evidence": "list/bullet: 80% of the time: play against self",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:44.153053+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 18,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "List presentation",
          "slug": "list-presentation",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
          "version": 1,
          "bodyDocId": null,
          "description": "Bulleted, numbered, or checklist enumerations.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "26144d56-e71c-4a2c-bcc7-4fee6a86f79b",
        "evidence": "list/bullet: 100k+ CPU cores",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:44.235361+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 19,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "List presentation",
          "slug": "list-presentation",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
          "version": 1,
          "bodyDocId": null,
          "description": "Bulleted, numbered, or checklist enumerations.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "304aeb3b-f3f3-46fb-a067-3b5017610003",
        "evidence": "list/bullet: Beat the strongest teams",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:44.478199+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 24,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Slide recipe: Cover",
          "slug": "cover-slide",
          "status": "active",
          "bestFor": null,
          "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3",
          "version": 1,
          "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65",
          "description": "The first ten seconds. Build it deliberately.",
          "familyLabel": "slide-recipe",
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "designer",
        "layer": "slide",
        "agents": [
          "designer"
        ],
        "matchId": "2350616b-6c67-4f4a-addd-47d10c6363fa",
        "evidence": "type: cover",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:45.967733+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 30,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Venn diagram",
          "slug": "venn-diagram",
          "status": "active",
          "bestFor": null,
          "canonId": "019de52d-1f53-7290-96c8-79388c95fc17",
          "version": 1,
          "bodyDocId": null,
          "description": null,
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "ed208ca6-0ea6-43ce-9545-31e878f29c24",
        "evidence": "diagram/venn: Venn diagram showing Dactyl (left), OpenAI Five (right), and shared OpenAI Rapid components (center).",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:46.050349+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 31,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Slide recipe: Cover",
          "slug": "cover-slide",
          "status": "active",
          "bestFor": null,
          "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3",
          "version": 1,
          "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65",
          "description": "The first ten seconds. Build it deliberately.",
          "familyLabel": "slide-recipe",
          "categoryName": "Slide",
          "categorySlug": "slide"
        },
        "agent": "designer",
        "layer": "slide",
        "agents": [
          "designer"
        ],
        "matchId": "1c306ab0-1cf0-44fa-bed2-a956d22fa781",
        "evidence": "type: cover",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:46.255452+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 35,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Section divider",
          "slug": "section-divider",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7",
          "version": 1,
          "bodyDocId": null,
          "description": "A transitional slide marking the start of a new section.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "b6a7b644-986e-4ec3-bdba-1175523ce0d9",
        "evidence": "type: section_divider",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:39.058427+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 40,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "common",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Storytelling: audience calibration",
          "slug": "audience",
          "status": "active",
          "bestFor": null,
          "canonId": "019df269-23ea-723a-87c0-af1d78d702d2",
          "version": 1,
          "bodyDocId": "019df269-23c5-72ec-8b94-78fc1da7b656",
          "description": "The same thesis, written for four different audiences, produces four",
          "familyLabel": "narrative-block",
          "categoryName": "Narrative & Transformation",
          "categorySlug": "narrative-transformation"
        },
        "agent": "storyteller",
        "layer": "slide",
        "agents": [
          "storyteller"
        ],
        "matchId": "6502945c-f489-4e8d-b944-aa19bc59dda8",
        "evidence": "Lessons from history of science Lessons from history of AI Practical limits on compute",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-07-16 23:24:50.471958+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 52,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "bb926836-ca3f-4934-8424-e1cdcc875dd4",
        "evidence": "Lessons from history of science Lessons from history of AI Practical limits on compute",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:50.552109+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 53,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "80a7d69e-9dc7-4ce9-9036-8ac8d299465d",
        "evidence": "Before: Fantasy: one algorithm to solve speech recognition, machine translation, object recognition better than decades of domain-specific ingenuity",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:50.674314+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 54,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "3f8cb4c8-9ce2-43cf-8df5-5c126e6907b4",
        "evidence": "Before: Fantasy: one algorithm to solve speech recognition, machine translation, object recognition better than decades of domain-specific ingenuity",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:50.635358+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 54,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "ca4843c5-64c1-46ca-888e-7ef5c97dd03f",
        "evidence": "Before: Deep learning is about static datasets.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:50.794046+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 55,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "df46387c-1217-4677-93ec-f010c9d1de41",
        "evidence": "Before: Deep learning is about static datasets.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:50.754113+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 55,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "30ec7e55-6681-4d65-9b15-d39f4200d29c",
        "evidence": "Before: Deep learning is just perception",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:50.875633+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 56,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "bf32d851-19b5-4485-b6e8-8ba64e2ce85a",
        "evidence": "Before: RL can't actually solve hard tasks.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:50.997378+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 57,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "961aab85-f9c5-4f9f-8409-5295937830ef",
        "evidence": "Before: RL can't actually solve hard tasks.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:50.956521+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 57,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "dad529c1-2d26-4dc7-aa91-8f7ca7b92a4e",
        "evidence": "Before: RL can't solve hard tasks on its own—long-term planning is fundamental barrier.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:51.119237+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 58,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "a37fae1e-49e7-4a11-81dc-3267b4312466",
        "evidence": "Before: RL can't solve hard tasks on its own—long-term planning is fundamental barrier.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:51.079199+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 58,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "9e127fcf-7a5f-4880-b7de-d642ff176a36",
        "evidence": "Before: Deep RL is limited to games and other perfectly-simulatable problems.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:51.240294+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 59,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "da50e892-2b16-4027-8caf-e55585211a07",
        "evidence": "Before: Deep RL is limited to games and other perfectly-simulatable problems.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:51.199196+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 59,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before-After-Bridge",
          "slug": "before-after-bridge",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-8604-7188-883f-42370288ad05",
          "version": 1,
          "bodyDocId": null,
          "description": "Narrative structure: Paint the before, show the after, explain the bridge",
          "familyLabel": null,
          "categoryName": "Block",
          "categorySlug": "block"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "09673b75-7363-468f-b1a0-da42dbd8f0c4",
        "evidence": "Before: AI progress is driven by labeled datasets.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:51.364078+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 60,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Before/after framing",
          "slug": "before-after-framing",
          "status": "active",
          "bestFor": "For turnaround / reform proposals",
          "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
          "version": 1,
          "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
          "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "df2735ae-0e1b-41a3-be2a-a96f9d7abcba",
        "evidence": "Before: AI progress is driven by labeled datasets.",
        "pageRefs": null,
        "priority": null,
        "whenToUse": "For turnaround / reform proposals",
        "confidence": 0.8,
        "extraction": {
          "at": "2026-07-16 23:24:51.323102+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 60,
        "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Thesis archetype",
          "slug": "thesis-archetype",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd9e1-4b0b-7428-9b26-f171d1e753fb",
          "version": 1,
          "bodyDocId": null,
          "description": "A canonical investment / activist thesis shape (breakup, fraud, governance).",
          "familyLabel": null,
          "categoryName": null,
          "categorySlug": null
        },
        "agent": null,
        "layer": "slide",
        "agents": null,
        "matchId": "882d0e39-9868-4645-bf4e-3d83b92cda31",
        "evidence": "Doubling period: 3.5 months",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-07-16 23:24:51.444464+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 61,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": "optional",
        "narrativePurpose": null
      },
      {
        "tool": {
          "name": "Antithesis",
          "slug": "antithesis",
          "status": "active",
          "bestFor": null,
          "canonId": "019dd956-a1f8-7283-8cf4-8e2c4292cc4e",
          "version": 1,
          "bodyDocId": null,
          "description": "Juxtaposing contrasting ideas in parallel structure",
          "familyLabel": null,
          "categoryName": "Loop",
          "categorySlug": "loop"
        },
        "agent": "Storyteller",
        "layer": "slide",
        "agents": [
          "Storyteller"
        ],
        "matchId": "b5af1a32-32c7-4e0c-9cb1-3a7f6478081c",
        "evidence": "list/bullet: Machines pursuing goals misspecified by their operator",
        "pageRefs": null,
        "priority": null,
        "whenToUse": null,
        "confidence": 0.6,
        "extraction": {
          "at": "2026-07-17 03:30:26.434927+00",
          "model": "or:meta-llama/llama-4-scout",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 63,
        "whyItWorks": null,
        "antipattern": null,
        "cardinality": null,
        "narrativePurpose": null
      }
    ],
    "frameworks": [
      {
        "matchId": "0c8bf060-e863-42b6-9573-4f233763a566",
        "evidence": "The slide contains a timer element indicating a 5-second duration.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 14:17:12.3+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 7,
        "frameworkName": "3-second-rule"
      },
      {
        "matchId": "7d5efb4b-33b1-4931-b7ed-983284d6f98c",
        "evidence": "The slide uses data to expose the lack of reproducibility in RL research.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 14:17:12.93+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 13,
        "frameworkName": "fraud-exposure"
      },
      {
        "matchId": "d2fe90ad-c84e-46bd-8367-176592c2fa2d",
        "evidence": "The slide explicitly labels the framework as 'Actor critic' and depicts the interaction between value, reward, actor, and state components.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:13.512+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 15,
        "frameworkName": "Actor-Critic Architecture"
      },
      {
        "matchId": "f09bcdb3-a1d2-49ab-b69a-c8e52ab47c6c",
        "evidence": "The diagram depicts the standard unrolled structure of an RNN/LSTM.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:15.789+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 16,
        "frameworkName": "recurrent-neural-network"
      },
      {
        "matchId": "7a6b9609-767f-43f1-9b8e-b87a04dea61e",
        "evidence": "The slide explicitly uses an 80/20 split to describe a process.",
        "framework": null,
        "confidence": 0.7,
        "extraction": {
          "at": "2026-05-02 14:17:14.251+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 18,
        "frameworkName": "pareto-principle-80-20"
      },
      {
        "matchId": "33d8b6da-9814-4c88-8aaf-43532adc809a",
        "evidence": "The slide exposes the lack of reproducibility in RL research by showing how random seeds drastically change outcomes.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 14:17:13.496+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 20,
        "frameworkName": "fraud-exposure"
      },
      {
        "matchId": "c0eaee9d-5916-469e-b8e2-7a4000c70d28",
        "evidence": "Visual representation of sequential hidden state dependencies",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:13.742+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 21,
        "frameworkName": "recurrent-neural-network"
      },
      {
        "matchId": "c400a386-8388-4cd1-9580-01b4d2195685",
        "evidence": "The chart maps performance data points chronologically along an x-axis representing dates in 2018.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:14.217+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 23,
        "frameworkName": "timeline"
      },
      {
        "matchId": "48b2ff1e-228c-4e47-b26e-276ccdd3d4bf",
        "evidence": "The slide depicts a multi-stage machine learning training pipeline.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 14:17:14.734+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 28,
        "frameworkName": "process"
      },
      {
        "matchId": "86cfe470-b9a2-4643-8db6-9c2b782bb29c",
        "evidence": "The diagram maps the sequential flow of data from visual input to robotic action.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 14:17:19.942+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 29,
        "frameworkName": "causal-chain"
      },
      {
        "matchId": "9ec0f614-86a6-459b-9c1f-ef879b41e773",
        "evidence": "Visual representation of overlapping sets",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:15.161+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 31,
        "frameworkName": "venn-diagram"
      },
      {
        "matchId": "f7ebc01b-3c3c-40c6-a016-8c6a6cd1f564",
        "evidence": "The slide depicts a standard deep learning pipeline structure.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 14:17:18.29+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 33,
        "frameworkName": "neural-network-architecture"
      },
      {
        "matchId": "324cba20-b0e7-448f-b6db-6c6d7c066992",
        "evidence": "The slide depicts a sequential processing pipeline typical of neural network policy models.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:21.278+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 34,
        "frameworkName": "neural-network-architecture"
      },
      {
        "matchId": "c490a76f-c6c0-4c2d-b11b-a49e66aa3b23",
        "evidence": "Visual representation of transformer blocks and input processing",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:19.913+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 39,
        "frameworkName": "Transformer Architecture"
      },
      {
        "matchId": "e4ca0146-74e9-48b0-99f6-076811aa9651",
        "evidence": "The slide explicitly states the primary goal and thesis of the presentation.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:17.478+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 41,
        "frameworkName": "governing-thought"
      },
      {
        "matchId": "c4259609-cfa4-46c6-8171-2773be7c4607",
        "evidence": "The title explicitly names the logical fallacy being illustrated.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:21.479+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 43,
        "frameworkName": "moving-goalposts"
      },
      {
        "matchId": "20c117e2-d274-42f9-9dbe-89b7f3c34ac7",
        "evidence": "Uses historical examples of failed expert predictions to discredit potential future skepticism.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:17.811+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 45,
        "frameworkName": "preempt_rebuttal"
      },
      {
        "matchId": "ea033d9a-2548-448c-99ae-34917050cf97",
        "evidence": "Uses a quote from Minsky & Papert to establish historical precedent.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:18.346+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 46,
        "frameworkName": "authority-citation"
      },
      {
        "matchId": "22f71145-0c27-42d5-ace7-7c5630133ed4",
        "evidence": "Uses a historical NYT quote to establish the context of AI hype.",
        "framework": null,
        "confidence": 0.8,
        "extraction": {
          "at": "2026-05-02 14:17:18.194+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 48,
        "frameworkName": "authority-citation"
      },
      {
        "matchId": "ae06161e-617c-45fa-b43d-250038202fa6",
        "evidence": "Use of a direct quote from a historical expert to validate a claim about past research trends.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:18.456+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 50,
        "frameworkName": "authority-citation"
      },
      {
        "matchId": "194efcd2-4cee-4643-96a7-34af9540d15c",
        "evidence": "Uses a historical quote and portraits of experts to establish credibility for the neural network revival narrative.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:23.481+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 51,
        "frameworkName": "authority-citation"
      },
      {
        "matchId": "69198662-5765-46c1-a608-6c68da67d062",
        "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' sections to show a paradigm shift.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:19.438+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 54,
        "frameworkName": "before-after-bridge"
      },
      {
        "matchId": "7cc8fb17-4544-44d9-8b61-da27417e26ea",
        "evidence": "The slide explicitly uses 'Before', 'The result', and 'After' headers to frame the technological shift.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:19.01+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 55,
        "frameworkName": "before-after-bridge"
      },
      {
        "matchId": "859efbfd-6dd3-4bdf-a255-97ae173368ab",
        "evidence": "Explicitly labels 'Before', 'The result' (bridge), and 'After' sections.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:21.583+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 56,
        "frameworkName": "before-after-bridge"
      },
      {
        "matchId": "b1721d77-6717-4c56-b4b8-fb84822ae2f2",
        "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' sections to demonstrate a paradigm shift.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:22.441+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 57,
        "frameworkName": "before-after-bridge"
      },
      {
        "matchId": "540bf194-4b5c-4bfc-82d7-57efa59509b4",
        "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' sections to show progress.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:19.629+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 58,
        "frameworkName": "before-after-bridge"
      },
      {
        "matchId": "9c705bcc-28c8-45c0-84a8-8b156241123b",
        "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' to demonstrate a technological advancement.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:23.573+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 59,
        "frameworkName": "before-after-bridge"
      },
      {
        "matchId": "52131080-31ce-4ede-8c16-7b6ee28eb48d",
        "evidence": "The slide explicitly structures the argument as 'Before', 'The result', and 'After'.",
        "framework": null,
        "confidence": 1,
        "extraction": {
          "at": "2026-05-02 14:17:19.993+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 60,
        "frameworkName": "before-after-bridge"
      },
      {
        "matchId": "9973998f-49ca-4f3a-8ffb-bee2773710ef",
        "evidence": "The slide explicitly states the goal of the talk and the core thesis.",
        "framework": null,
        "confidence": 0.9,
        "extraction": {
          "at": "2026-05-02 14:17:20.98+00",
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "seconds": null,
          "promptVersion": null
        },
        "pageNumber": 63,
        "frameworkName": "governing-thought"
      }
    ],
    "patterns": []
  },
  "storymakers": null,
  "score": null,
  "review": null,
  "activistThesis": null,
  "pitchdeck": {
    "metadata": null,
    "profile": null
  },
  "slides": [
    {
      "page": 1,
      "type": "setup",
      "function": "establish_context",
      "imagePath": "https://imgproxy.kitesheet.com/2m0RuzJ8soaqEwxFWQ47Bw-WLtmaREKMHFSHoglIgMM/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8wNDFlMTJlOTViMDA1Njc1YzgzMDNjZDAyOWNhMDllZi9wMDAxLmpwZw",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 8,
        "componentCount": 2,
        "textChars": 94,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:10.695+00",
          "seconds": 2.004,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/1",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-1",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.18,
            "w": 0.6,
            "x": 0.2,
            "y": 0.21
          },
          "kind": "list",
          "text": "Build safe AGI\nMake it beneficial, and make its benefits be widely distributed",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:10.695+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f8e37296-1543-4826-a552-a8bc599eb41b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.22,
            "x": 0.39,
            "y": 0.08
          },
          "kind": "title",
          "text": "OpenAI: our goal",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:10.695+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "13674111-539d-4cfe-805e-797db9591185",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Audience Definition",
            "slug": "audience-definition",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-7f2a-775d-aeee-ff099bcb7756",
            "version": 1,
            "bodyDocId": null,
            "description": "Six key questions: Who are they? What do they know? What do they believe? What do they care about? What do they fear? What decisions can they make?",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "810dd94a-26a7-4286-b2aa-38f3d931af8a",
          "evidence": "OpenAI: our goal",
          "pageRefs": null,
          "priority": "Core",
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-17 03:30:26.37526+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 1,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "thumbSrc": "https://imgproxy.kitesheet.com/WVGLg87RjkOWaoytFQfpDjj0fYtYGo_eHy-K9-6VVNY/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8wNDFlMTJlOTViMDA1Njc1YzgzMDNjZDAyOWNhMDllZi9wMDAxLmpwZw",
      "imagePathAlt": "https://imgproxy.kitesheet.com/vv3Pa8ZgJN9Y7c1s2plKyYkiOFw-33eP3u74SGIMiRQ/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8wNDFlMTJlOTViMDA1Njc1YzgzMDNjZDAyOWNhMDllZi9wMDAxLnBuZw",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/BlXcZV0BQV86hiQ8tuJ4cTiL00hQfUk8re883BvsDlw/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy8wNDFlMTJlOTViMDA1Njc1YzgzMDNjZDAyOWNhMDllZi9wMDAxLnBuZw"
    },
    {
      "page": 2,
      "type": "setup",
      "title": "The slide includes a UI element indicating a 5-second duration, likely from a video presentation.",
      "function": "present_framework",
      "rawType": "key_messages",
      "block": null,
      "metadata": {
        "slideType": "key_messages",
        "slideTypeCanon": {
          "name": "Key messages",
          "slug": "key_messages",
          "status": "active",
          "canonId": "019de52d-0712-703f-89f5-bda6688faf3f",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 11,
        "componentCount": 2,
        "textChars": 140,
        "nDataPoints": 0,
        "notes": "The slide includes a UI element indicating a 5-second duration, likely from a video presentation.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:13.773+00",
          "seconds": 5.045,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/2",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-2",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.6,
            "x": 0.2,
            "y": 0.2
          },
          "kind": "list",
          "text": "Do hard things in simulation\nTransfer skills from the simulation to the real world\nLearn world models\nSafety and deployment",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.773+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b3e040d9-87a1-4c71-bc94-2cf357a481b5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "Components of AGI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.773+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7311f1eb-4b29-44b3-bce7-2a947dc8244c",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 3,
      "type": "setup",
      "function": "present_framework",
      "rawType": "key_messages",
      "block": null,
      "metadata": {
        "slideType": "key_messages",
        "slideTypeCanon": {
          "name": "Key messages",
          "slug": "key_messages",
          "status": "active",
          "canonId": "019de52d-0712-703f-89f5-bda6688faf3f",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 11,
        "componentCount": 2,
        "textChars": 140,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:10.523+00",
          "seconds": 1.753,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/3",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-3",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.4,
            "w": 0.6,
            "x": 0.2,
            "y": 0.2
          },
          "kind": "list",
          "text": "Do hard things in simulation\nTransfer skills from the simulation to the real world\nLearn world models\nSafety and deployment",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:10.523+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "441e5de9-f278-4c2a-a6cb-ef83074baf39",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "Components of AGI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:10.523+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "48516fa4-4669-41e3-97e6-a3e0dee1e6a0",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 4,
      "type": "resolution",
      "function": "summarize",
      "rawType": "key_takeaways",
      "block": null,
      "metadata": {
        "slideType": "key_takeaways",
        "slideTypeCanon": {
          "name": "Key takeaways",
          "slug": "key_takeaways",
          "status": "active",
          "canonId": "019de52d-06e7-7674-a891-9f7de3b11b6d",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 6,
        "componentCount": 2,
        "textChars": 72,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:10.721+00",
          "seconds": 1.946,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/4",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-4",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.45,
            "x": 0.2,
            "y": 0.2
          },
          "kind": "list",
          "text": "OpenAI Five\nDactyl\nUnsupervised language understanding",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:10.721+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ab95226b-5df6-49c6-9c46-607ce72d24b9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.22,
            "x": 0.39,
            "y": 0.08
          },
          "kind": "title",
          "text": "Our recent results",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:10.721+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "59173f40-e724-4e67-8232-fbc263b5df51",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 5,
      "type": "setup",
      "function": "transition",
      "rawType": "section_divider",
      "block": null,
      "metadata": {
        "slideType": "section_divider",
        "slideTypeCanon": {
          "name": "Section divider",
          "slug": "section_divider",
          "status": "active",
          "canonId": "019de52d-066a-7402-9554-6ae504999041",
          "version": 1,
          "description": null
        },
        "function": "transition",
        "functionCanon": {
          "name": "Transition",
          "slug": "transition",
          "status": "active",
          "canonId": "019de52d-1365-7149-92aa-66df859e75fd",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 1,
        "componentCount": 1,
        "textChars": 11,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:11.565+00",
          "seconds": 2.595,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/5",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-5",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.25,
            "x": 0.05,
            "y": 0.45
          },
          "kind": "title",
          "text": "OpenAI Five",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:11.565+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "834570c6-7695-4c56-849c-4fc8974eb0ee",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 6,
      "type": "appendix",
      "title": "The slide is a simple visual placeholder for the game Dota 2.",
      "function": "establish_context",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 4,
        "componentCount": 2,
        "textChars": 32,
        "nDataPoints": 0,
        "notes": "The slide is a simple visual placeholder for the game Dota 2.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:11.056+00",
          "seconds": 1.939,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/6",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-6",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.65,
            "w": 0.7,
            "x": 0.15,
            "y": 0.21
          },
          "kind": "image",
          "text": "In-game screenshot of Dota 2",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:11.056+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ed50e897-8cd6-42f4-be47-4d012ca60057",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.06,
            "x": 0.47,
            "y": 0.08
          },
          "kind": "title",
          "text": "Dota",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:11.056+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "55cd3ea0-a4bc-46ed-9f55-1f0ae292b9e0",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 7,
      "type": "setup",
      "title": "The slide includes a '5 seconds' timer element, likely indicating a timed transition or pacing marker.",
      "function": "establish_context",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 16,
        "componentCount": 3,
        "textChars": 77,
        "nDataPoints": 1,
        "notes": "The slide includes a '5 seconds' timer element, likely indicating a timed transition or pacing marker.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:12.3+00",
          "seconds": 3.118,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/7",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-7",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.15,
            "w": 0.25,
            "x": 0.2,
            "y": 0.2
          },
          "kind": "list",
          "text": "Largest professional scene\nAnnual prize pool of $40M+",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.3+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bd92ae40-3856-4f44-b089-00c1adac897e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.1,
            "x": 0.2,
            "y": 0.45
          },
          "kind": "other",
          "text": "5 seconds",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Other",
              "slug": "other",
              "status": "active",
              "canonId": "019de52c-fa90-743c-8bf6-20d1fbe82b6d",
              "version": 1,
              "description": "Fallback when no canonical kind applies."
            },
            "tool": null,
            "subkind": {
              "name": "Unclassified",
              "slug": "unclassified",
              "status": "active",
              "canonId": "019de52d-05ca-77db-81fb-db7d4234bbc0",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "unclassified",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.3+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0c6b7361-56f2-4316-a058-ca0c67801bed",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.18,
            "x": 0.41,
            "y": 0.1
          },
          "kind": "title",
          "text": "Dota is popular",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.3+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4f53154f-8d8a-4773-9bf4-607bfe0ce325",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "0c8bf060-e863-42b6-9573-4f233763a566",
          "evidence": "The slide contains a timer element indicating a 5-second duration.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 14:17:12.3+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 7,
          "frameworkName": "3-second-rule"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 8,
      "type": "setup",
      "title": "The image features the OpenAI logo prominently in the center of the arena.",
      "function": "establish_context",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 3,
        "componentCount": 2,
        "textChars": 15,
        "nDataPoints": 0,
        "notes": "The image features the OpenAI logo prominently in the center of the arena.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:13.633+00",
          "seconds": 4.079,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/8",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-8",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.65,
            "w": 0.58,
            "x": 0.21,
            "y": 0.21
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.633+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "23336599-8714-4ff8-a1b6-9d8d99abd118",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.18,
            "x": 0.41,
            "y": 0.08
          },
          "kind": "title",
          "text": "Dota is popular",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.633+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6e6f0751-f775-4263-bd17-d5947c8dc279",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 9,
      "type": "tension",
      "function": "frame_problem",
      "rawType": "problem_statement",
      "block": null,
      "metadata": {
        "slideType": "problem_statement",
        "slideTypeCanon": {
          "name": "Problem statement",
          "slug": "problem_statement",
          "status": "active",
          "canonId": "019de52d-0879-768d-bba8-8da8a5a121d4",
          "version": 1,
          "description": null
        },
        "function": "frame_problem",
        "functionCanon": {
          "name": "Frame problem",
          "slug": "frame_problem",
          "status": "active",
          "canonId": "019de52d-13db-753e-ad70-e9b2d0dab398",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 20,
        "componentCount": 2,
        "textChars": 219,
        "nDataPoints": 2,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:12.303+00",
          "seconds": 2.728,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/9",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-9",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.55,
            "w": 0.6,
            "x": 0.2,
            "y": 0.21
          },
          "kind": "list",
          "text": "Strategy, tactics\nPartial observability\nGames are long\n120 heroes, surprising interactions\n20,000 actions per game, massive action space\nPros dedicate their lives to the game, 10K+ hrs of deliberate practice",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.303+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c009f184-6569-4942-af3a-f9821f42aa93",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.14,
            "x": 0.43,
            "y": 0.09
          },
          "kind": "title",
          "text": "Dota is hard",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.303+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5c2a47e4-575b-4199-8d74-ff3a68cddf52",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 10,
      "type": "setup",
      "function": "present_solution",
      "rawType": "propose_solution",
      "block": null,
      "metadata": {
        "slideType": "propose_solution",
        "slideTypeCanon": {
          "name": "Propose solution (contrarian)",
          "slug": "propose_solution",
          "status": "active",
          "canonId": "019de52d-1274-703c-81c6-5550f451697b",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 10,
        "componentCount": 2,
        "textChars": 128,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:11.865+00",
          "seconds": 1.939,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/10",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-10",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.35,
            "w": 0.58,
            "x": 0.21,
            "y": 0.21
          },
          "kind": "list",
          "text": "Very large scale reinforcement learning: millennia of practice\nLSTM policy = honeybee brain\nSelf play\nReward shaping",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:11.865+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "41a4efb2-4f8a-4b6c-b94f-fc3fc3653ad7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.16,
            "x": 0.42,
            "y": 0.08
          },
          "kind": "title",
          "text": "Our approach",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:11.865+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b6b0837f-1a2d-49cd-9a51-331f800580a2",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 11,
      "type": "setup",
      "function": "frame_situation",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "frame_situation",
        "functionCanon": {
          "name": "Frame situation",
          "slug": "frame_situation",
          "status": "active",
          "canonId": "019de52d-17bc-718f-8752-05ef2b72d7b3",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 10,
        "componentCount": 2,
        "textChars": 132,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:15.244+00",
          "seconds": 5.074,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/11",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-11",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.15,
            "w": 0.58,
            "x": 0.21,
            "y": 0.21
          },
          "kind": "list",
          "text": "Nearly all RL experts believed that RL can't solve tasks as hard as Dota\nHorizon too long",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.244+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "097edf4c-b3f1-4b67-ab1f-bf5a1dba45f4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.52,
            "x": 0.24,
            "y": 0.1
          },
          "kind": "title",
          "text": "Reinforcement learning (RL) actually works!",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.244+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "02c9c7cf-9ac4-463c-8367-14b2fabb803f",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 18,
          "from": 11,
          "loop": {
            "name": "03_aha_moment",
            "slug": "03-aha-moment",
            "status": "active",
            "bestFor": "Data-heavy sections, research findings, analytical arguments",
            "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Problem/Question -> What the Data Shows -> The Insight",
            "description": "Establish a tension, present data, then deliver the insight that changes everything",
            "familyLabel": null
          },
          "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
          "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
          "position": 0,
          "objective": "Reinforcement learning actually works",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:07:12.266826+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 12,
      "type": "setup",
      "title": "The slide uses visual examples of simple simulated environments (MuJoCo-style physics and Atari games) to illustrate the early scope of RL.",
      "function": "establish_context",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 19,
        "componentCount": 3,
        "textChars": 181,
        "nDataPoints": 0,
        "notes": "The slide uses visual examples of simple simulated environments (MuJoCo-style physics and Atari games) to illustrate the early scope of RL.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:15.046+00",
          "seconds": 4.756,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/12",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-12",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.707,
            "w": 0.397,
            "x": 0.543,
            "y": 0.208
          },
          "kind": "image",
          "text": "Grid of images showing simulated robotics and Atari game screens",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.046+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "056840f5-d1dc-4432-87ea-c4550a53619b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.105,
            "w": 0.405,
            "x": 0.05,
            "y": 0.215
          },
          "kind": "paragraph",
          "text": "Pure RL had been applied only to simple games and simple simulated robotics",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.046+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1b13a476-da87-4745-885e-588c80e6a6f2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.504,
            "x": 0.248,
            "y": 0.09
          },
          "kind": "title",
          "text": "Reinforcement learning (RL) actually works",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.046+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0d44c88d-95fe-43cc-a956-b1abac9f191d",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 18,
          "from": 11,
          "loop": {
            "name": "03_aha_moment",
            "slug": "03-aha-moment",
            "status": "active",
            "bestFor": "Data-heavy sections, research findings, analytical arguments",
            "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Problem/Question -> What the Data Shows -> The Insight",
            "description": "Establish a tension, present data, then deliver the insight that changes everything",
            "familyLabel": null
          },
          "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
          "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
          "position": 0,
          "objective": "Reinforcement learning actually works",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:07:12.266826+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 13,
      "type": "tension",
      "title": "The chart illustrates that different random seeds lead to vastly different performance outcomes, undermining the reliability of reported results.",
      "function": "expose_contradiction",
      "rawType": "expose_contradiction",
      "block": null,
      "metadata": {
        "slideType": "expose_contradiction",
        "slideTypeCanon": {
          "name": "Expose contradiction",
          "slug": "expose_contradiction",
          "status": "active",
          "canonId": "019de52d-124c-75aa-984a-0a3d0d8fc8df",
          "version": 1,
          "description": null
        },
        "function": "expose_contradiction",
        "functionCanon": {
          "name": "Expose contradiction",
          "slug": "expose_contradiction",
          "status": "active",
          "canonId": "019de52d-171f-776f-887c-73edaff4cf9c",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 17,
        "componentCount": 3,
        "textChars": 91,
        "nDataPoints": 2,
        "notes": "The chart illustrates that different random seeds lead to vastly different performance outcomes, undermining the reliability of reported results.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:12.93+00",
          "seconds": 2.529,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/13",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-13",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.66,
            "w": 0.62,
            "x": 0.19,
            "y": 0.16
          },
          "kind": "chart",
          "text": "HalfCheetah-v1 (TRPO, Different Random Seeds)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Line chart",
              "slug": "line",
              "status": "active",
              "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "line",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.93+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "48e5407b-9bee-4b38-9369-1ee204ba8f1e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.16,
            "x": 0.65,
            "y": 0.93
          },
          "kind": "source-note",
          "text": "From Henderson et al., 2017",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.93+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5823bea9-32a3-422c-b88e-13f0a3772e06",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "Skepticism about RL",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.93+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "37677a4a-0f77-41f4-ae6d-e1128ff1a8b7",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "7d5efb4b-33b1-4931-b7ed-983284d6f98c",
          "evidence": "The slide uses data to expose the lack of reproducibility in RL research.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 14:17:12.93+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 13,
          "frameworkName": "fraud-exposure"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 18,
          "from": 11,
          "loop": {
            "name": "03_aha_moment",
            "slug": "03-aha-moment",
            "status": "active",
            "bestFor": "Data-heavy sections, research findings, analytical arguments",
            "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Problem/Question -> What the Data Shows -> The Insight",
            "description": "Establish a tension, present data, then deliver the insight that changes everything",
            "familyLabel": null
          },
          "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
          "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
          "position": 0,
          "objective": "Reinforcement learning actually works",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:07:12.266826+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 14,
      "type": "setup",
      "function": "present_framework",
      "rawType": "key_messages",
      "block": null,
      "metadata": {
        "slideType": "key_messages",
        "slideTypeCanon": {
          "name": "Key messages",
          "slug": "key_messages",
          "status": "active",
          "canonId": "019de52d-0712-703f-89f5-bda6688faf3f",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 6,
        "componentCount": 2,
        "textChars": 72,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:12.392+00",
          "seconds": 1.965,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/14",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-14",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.15,
            "w": 0.6,
            "x": 0.2,
            "y": 0.21
          },
          "kind": "list",
          "text": "Add noise to actions\nUse reward to tell if action was good",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.392+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5ddea387-8b4a-4887-80ff-83fd57df0a45",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.18,
            "x": 0.41,
            "y": 0.08
          },
          "kind": "title",
          "text": "RL: the basics",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.392+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cecf21a5-82ab-4022-818a-7a09dcab69f0",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "List presentation",
            "slug": "list-presentation",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
            "version": 1,
            "bodyDocId": null,
            "description": "Bulleted, numbered, or checklist enumerations.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "d6bec810-9174-4a91-8df3-cbccda088357",
          "evidence": "list/bullet: Add noise to actions",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:43.946582+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 14,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 18,
          "from": 11,
          "loop": {
            "name": "03_aha_moment",
            "slug": "03-aha-moment",
            "status": "active",
            "bestFor": "Data-heavy sections, research findings, analytical arguments",
            "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Problem/Question -> What the Data Shows -> The Insight",
            "description": "Establish a tension, present data, then deliver the insight that changes everything",
            "familyLabel": null
          },
          "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
          "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
          "position": 0,
          "objective": "Reinforcement learning actually works",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:07:12.266826+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 15,
      "type": "appendix",
      "title": "The diagram uses a custom visual notation where squares represent Value, triangles represent Reward (R), and circles represent Actor (A) and State (S) component",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 13,
        "componentCount": 3,
        "textChars": 90,
        "nDataPoints": 0,
        "notes": "The diagram uses a custom visual notation where squares represent Value, triangles represent Reward (R), and circles represent Actor (A) and State (S) components, linked by arrows indicating noise addition and flow.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:13.512+00",
          "seconds": 2.845,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/15",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-15",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.45,
            "w": 0.74,
            "x": 0.13,
            "y": 0.3
          },
          "kind": "diagram",
          "text": "Value = R + R + R + R + R + Value; Add Noise; A to S mapping",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.512+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c531cccb-5bb5-4ab3-8e42-abce98e8f4ad",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.07,
            "x": 0.12,
            "y": 0.55
          },
          "kind": "source-note",
          "text": "ADD NOISE",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.512+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c2eb5874-406b-49ee-a3e7-e0755fe439cd",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "The key: Actor critic",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.512+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0f795d3c-f017-44ff-ad38-cce0ec0b2e37",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "d2fe90ad-c84e-46bd-8367-176592c2fa2d",
          "evidence": "The slide explicitly labels the framework as 'Actor critic' and depicts the interaction between value, reward, actor, and state components.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:13.512+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 15,
          "frameworkName": "Actor-Critic Architecture"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 18,
          "from": 11,
          "loop": {
            "name": "03_aha_moment",
            "slug": "03-aha-moment",
            "status": "active",
            "bestFor": "Data-heavy sections, research findings, analytical arguments",
            "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Problem/Question -> What the Data Shows -> The Insight",
            "description": "Establish a tension, present data, then deliver the insight that changes everything",
            "familyLabel": null
          },
          "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
          "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
          "position": 0,
          "objective": "Reinforcement learning actually works",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:07:12.266826+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 16,
      "type": "appendix",
      "title": "The diagram shows a sequence of inputs feeding into a sequence of hidden states, which are connected sequentially.",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 12,
        "componentCount": 3,
        "textChars": 83,
        "nDataPoints": 0,
        "notes": "The diagram shows a sequence of inputs feeding into a sequence of hidden states, which are connected sequentially.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:15.789+00",
          "seconds": 5.093,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/16",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-16",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.4,
            "x": 0.528,
            "y": 0.378
          },
          "kind": "diagram",
          "text": "LSTM architecture diagram",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.789+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "84354295-4550-43c4-ad26-837975f3ded9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.35,
            "x": 0.05,
            "y": 0.21
          },
          "kind": "subtitle",
          "text": "A recurrent neural network that's easy to train",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "82d821ee-2793-42e7-8f16-c6131385a3ce",
              "version": 1,
              "description": "Header-zone supporting text near the title (= ex body.description with bbox)."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.789+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7704b3af-a864-4615-b86d-c931fb79d72d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.14,
            "x": 0.43,
            "y": 0.08
          },
          "kind": "title",
          "text": "LSTM policy",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.789+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e8ed87a8-136c-4c0f-b5d7-9448f625c21a",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "f09bcdb3-a1d2-49ab-b69a-c8e52ab47c6c",
          "evidence": "The diagram depicts the standard unrolled structure of an RNN/LSTM.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:15.789+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 16,
          "frameworkName": "recurrent-neural-network"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 18,
          "from": 11,
          "loop": {
            "name": "03_aha_moment",
            "slug": "03-aha-moment",
            "status": "active",
            "bestFor": "Data-heavy sections, research findings, analytical arguments",
            "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Problem/Question -> What the Data Shows -> The Insight",
            "description": "Establish a tension, present data, then deliver the insight that changes everything",
            "familyLabel": null
          },
          "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
          "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
          "position": 0,
          "objective": "Reinforcement learning actually works",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:07:12.266826+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 17,
      "type": "appendix",
      "title": "The diagram shows a complex neural network architecture with multiple input branches, embedding layers, and a multi-output head structure.",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 5,
        "componentCount": 2,
        "textChars": 44,
        "nDataPoints": 0,
        "notes": "The diagram shows a complex neural network architecture with multiple input branches, embedding layers, and a multi-output head structure.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:12.7+00",
          "seconds": 1.98,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/17",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-17",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.7,
            "w": 0.7,
            "x": 0.15,
            "y": 0.21
          },
          "kind": "diagram",
          "text": "Technical architecture flow chart",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.7+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7f295fe5-3458-4fb8-8390-fb5a38dcb352",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.14,
            "x": 0.43,
            "y": 0.08
          },
          "kind": "title",
          "text": "LSTM policy",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:12.7+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "23180db4-f6a1-4be3-8371-1b968dff2a74",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 18,
          "from": 11,
          "loop": {
            "name": "03_aha_moment",
            "slug": "03-aha-moment",
            "status": "active",
            "bestFor": "Data-heavy sections, research findings, analytical arguments",
            "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Problem/Question -> What the Data Shows -> The Insight",
            "description": "Establish a tension, present data, then deliver the insight that changes everything",
            "familyLabel": null
          },
          "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
          "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
          "position": 0,
          "objective": "Reinforcement learning actually works",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:07:12.266826+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 18,
      "type": "appendix",
      "title": "Likely related to AlphaZero or similar reinforcement learning training methodologies.",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 12,
        "componentCount": 2,
        "textChars": 82,
        "nDataPoints": 2,
        "notes": "Likely related to AlphaZero or similar reinforcement learning training methodologies.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:14.251+00",
          "seconds": 3.376,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/18",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-18",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.2,
            "w": 0.6,
            "x": 0.2,
            "y": 0.2
          },
          "kind": "list",
          "text": "80% of the time: play against self\n20% of the time: against past versions",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.251+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d26df248-6833-4eae-96f9-79f8e9e1a269",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.12,
            "x": 0.44,
            "y": 0.08
          },
          "kind": "title",
          "text": "Self play",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.251+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1b56b901-9d35-4e74-a68c-4d9b544f5b3d",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "List presentation",
            "slug": "list-presentation",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
            "version": 1,
            "bodyDocId": null,
            "description": "Bulleted, numbered, or checklist enumerations.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "11acb2f3-a47c-44e2-8cfc-7cf35e69bd16",
          "evidence": "list/bullet: 80% of the time: play against self",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:44.153053+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 18,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "7a6b9609-767f-43f1-9b8e-b87a04dea61e",
          "evidence": "The slide explicitly uses an 80/20 split to describe a process.",
          "framework": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-05-02 14:17:14.251+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 18,
          "frameworkName": "pareto-principle-80-20"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 18,
          "from": 11,
          "loop": {
            "name": "03_aha_moment",
            "slug": "03-aha-moment",
            "status": "active",
            "bestFor": "Data-heavy sections, research findings, analytical arguments",
            "canonId": "019dd956-66f4-7668-ab25-cec9c996c0bc",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Problem/Question -> What the Data Shows -> The Insight",
            "description": "Establish a tension, present data, then deliver the insight that changes everything",
            "familyLabel": null
          },
          "matchId": "fb62ceda-c989-4e66-832e-2e278647478b",
          "evidence": "The presentation showcases the effectiveness of reinforcement learning through various examples.",
          "position": 0,
          "objective": "Reinforcement learning actually works",
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 22:07:12.266826+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 19,
      "type": "appendix",
      "function": "other",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "other",
        "functionCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-15e1-75bc-99dc-07732380e2ce",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 14,
        "componentCount": 2,
        "textChars": 105,
        "nDataPoints": 5,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:15.207+00",
          "seconds": 4.28,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/19",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-19",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.38,
            "w": 0.33,
            "x": 0.21,
            "y": 0.21
          },
          "kind": "list",
          "text": "100k+ CPU cores\n1k+ GPUs\nRL time horizon of 5 minutes\ngamma = .9997\nGames last for 20,000 moves",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.207+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "50e7601a-b73e-4943-848b-f19df18adbd7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.12,
            "x": 0.44,
            "y": 0.08
          },
          "kind": "title",
          "text": "Cool facts",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.207+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f2371b18-fc3a-4a9a-97b4-028ada171669",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "List presentation",
            "slug": "list-presentation",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
            "version": 1,
            "bodyDocId": null,
            "description": "Bulleted, numbered, or checklist enumerations.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "26144d56-e71c-4a2c-bcc7-4fee6a86f79b",
          "evidence": "list/bullet: 100k+ CPU cores",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:44.235361+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 19,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 20,
      "type": "tension",
      "title": "The chart illustrates that identical experimental setups can yield vastly different results, undermining the reliability of reported RL performance metrics.",
      "function": "expose_contradiction",
      "rawType": "expose_contradiction",
      "block": null,
      "metadata": {
        "slideType": "expose_contradiction",
        "slideTypeCanon": {
          "name": "Expose contradiction",
          "slug": "expose_contradiction",
          "status": "active",
          "canonId": "019de52d-124c-75aa-984a-0a3d0d8fc8df",
          "version": 1,
          "description": null
        },
        "function": "expose_contradiction",
        "functionCanon": {
          "name": "Expose contradiction",
          "slug": "expose_contradiction",
          "status": "active",
          "canonId": "019de52d-171f-776f-887c-73edaff4cf9c",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 17,
        "componentCount": 3,
        "textChars": 91,
        "nDataPoints": 2,
        "notes": "The chart illustrates that identical experimental setups can yield vastly different results, undermining the reliability of reported RL performance metrics.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:13.496+00",
          "seconds": 2.564,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/20",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-20",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.65,
            "w": 0.62,
            "x": 0.19,
            "y": 0.15
          },
          "kind": "chart",
          "text": "HalfCheetah-v1 (TRPO, Different Random Seeds)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Line chart",
              "slug": "line",
              "status": "active",
              "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "line",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c4f7fe8b-2247-4d7a-961e-c4f8a61b8dde",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.25,
            "x": 0.65,
            "y": 0.92
          },
          "kind": "source-note",
          "text": "From Henderson et al., 2017",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d1ba8afa-5fe6-4e16-acec-7fd92f44007e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.35,
            "y": 0.05
          },
          "kind": "title",
          "text": "Skepticism about RL",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b48d9bdc-d97a-4f81-83a7-3b890a10e420",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "33d8b6da-9814-4c88-8aaf-43532adc809a",
          "evidence": "The slide exposes the lack of reproducibility in RL research by showing how random seeds drastically change outcomes.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 14:17:13.496+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 20,
          "frameworkName": "fraud-exposure"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 21,
      "type": "appendix",
      "title": "The diagram shows a standard unrolled RNN/LSTM structure with input nodes feeding into hidden state nodes that are connected sequentially.",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 12,
        "componentCount": 3,
        "textChars": 83,
        "nDataPoints": 0,
        "notes": "The diagram shows a standard unrolled RNN/LSTM structure with input nodes feeding into hidden state nodes that are connected sequentially.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:13.742+00",
          "seconds": 2.643,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/21",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-21",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.245,
            "w": 0.415,
            "x": 0.528,
            "y": 0.378
          },
          "kind": "diagram",
          "text": "LSTM architecture diagram",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.742+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5d1bb6ef-859c-4d3a-ba98-75930216b482",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.08,
            "w": 0.35,
            "x": 0.05,
            "y": 0.21
          },
          "kind": "paragraph",
          "text": "A recurrent neural network that's easy to train",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.742+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "10656ec3-3694-413d-acfb-ccb2f8477ba4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.14,
            "x": 0.43,
            "y": 0.08
          },
          "kind": "title",
          "text": "LSTM policy",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.742+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cac0c036-b94f-4ba2-b07c-ee868b0b4450",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "c0eaee9d-5916-469e-b8e2-7a4000c70d28",
          "evidence": "Visual representation of sequential hidden state dependencies",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:13.742+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 21,
          "frameworkName": "recurrent-neural-network"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 22,
      "type": "setup",
      "title": "The slide explains a technical adjustment in multi-agent reinforcement learning (LSTM agents) to improve cooperation.",
      "function": "summarize",
      "rawType": "key_messages",
      "block": null,
      "metadata": {
        "slideType": "key_messages",
        "slideTypeCanon": {
          "name": "Key messages",
          "slug": "key_messages",
          "status": "active",
          "canonId": "019de52d-0712-703f-89f5-bda6688faf3f",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 11,
        "componentCount": 2,
        "textChars": 141,
        "nDataPoints": 0,
        "notes": "The slide explains a technical adjustment in multi-agent reinforcement learning (LSTM agents) to improve cooperation.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:13.073+00",
          "seconds": 1.806,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/22",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-22",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.6,
            "x": 0.2,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "At first, each LSTM greedily maximized its own reward\n\nOver time, the reward of each LSTM was made equal to the reward of the team",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.073+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7de93cf8-6883-4828-b2d6-3d42fe5cbe24",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.14,
            "x": 0.43,
            "y": 0.08
          },
          "kind": "title",
          "text": "Team spirit",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:13.073+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7673425a-c4a3-464b-b7ce-3bda9ee7cd17",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 23,
      "type": "analysis",
      "title": "The chart tracks performance improvement from May to August 2018, highlighting key milestones and opponent levels.",
      "function": "analyze_data",
      "rawType": "kpi_overview",
      "block": null,
      "metadata": {
        "slideType": "kpi_overview",
        "slideTypeCanon": {
          "name": "KPI overview (contrarian)",
          "slug": "kpi_overview",
          "status": "active",
          "canonId": "019de52d-11d5-7328-b1d1-5368a03e7796",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 11,
        "componentCount": 2,
        "textChars": 40,
        "nDataPoints": 7,
        "notes": "The chart tracks performance improvement from May to August 2018, highlighting key milestones and opponent levels.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:14.217+00",
          "seconds": 2.474,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/23",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-23",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.6,
            "w": 0.5,
            "x": 0.25,
            "y": 0.22
          },
          "kind": "chart",
          "text": "OpenAI Five-Estimated Dota Rating",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Line chart",
              "slug": "line",
              "status": "active",
              "canonId": "019de52c-ff62-778f-8f6c-a952ceae8677",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "line",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.217+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f2610157-7b58-4c29-b43b-a48cb4b39103",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.06,
            "x": 0.47,
            "y": 0.08
          },
          "kind": "title",
          "text": "Results",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.217+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4765616b-9c94-426c-ac9c-2388dc9ad2ce",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "c400a386-8388-4cd1-9580-01b4d2195685",
          "evidence": "The chart maps performance data points chronologically along an x-axis representing dates in 2018.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:14.217+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 23,
          "frameworkName": "timeline"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 24,
      "type": "appendix",
      "function": "state_next_steps",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "state_next_steps",
        "functionCanon": {
          "name": "State next steps",
          "slug": "state_next_steps",
          "status": "active",
          "canonId": "019de52d-14ca-70ac-b534-971f458cdf29",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 4,
        "componentCount": 2,
        "textChars": 39,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:17.98+00",
          "seconds": 5.985,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/24",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-24",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.038,
            "w": 0.287,
            "x": 0.207,
            "y": 0.215
          },
          "kind": "list",
          "text": "Beat the strongest teams",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.98+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e410ae3c-d948-46eb-a42e-4e7d88074f63",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.038,
            "w": 0.194,
            "x": 0.403,
            "y": 0.088
          },
          "kind": "title",
          "text": "Remaining tasks",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.98+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0976fc6d-72f6-495e-b617-2760fff3a96d",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "List presentation",
            "slug": "list-presentation",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4ef7-777d-ba68-9074c2b3bcf1",
            "version": 1,
            "bodyDocId": null,
            "description": "Bulleted, numbered, or checklist enumerations.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "304aeb3b-f3f3-46fb-a067-3b5017610003",
          "evidence": "list/bullet: Beat the strongest teams",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:44.478199+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 24,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 25,
      "type": "appendix",
      "function": "illustrate_case",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 4,
        "componentCount": 2,
        "textChars": 39,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:14.173+00",
          "seconds": 2.134,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/25",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-25",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.7,
            "w": 0.7,
            "x": 0.15,
            "y": 0.21
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.173+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "318c04ac-81e0-4b54-8cdd-04a5403a6ae0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.48,
            "x": 0.26,
            "y": 0.08
          },
          "kind": "title",
          "text": "Dactyl: learning dexterous manipulation",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.173+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fa2d4f0d-cdf3-4876-a727-472f9e4db322",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 26,
      "type": "appendix",
      "title": "The slide serves as a visual proof point for robotic dexterity.",
      "function": "illustrate_case",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 5,
        "componentCount": 2,
        "textChars": 49,
        "nDataPoints": 0,
        "notes": "The slide serves as a visual proof point for robotic dexterity.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:21.094+00",
          "seconds": 8.938,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/26",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-26",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.69,
            "w": 0.52,
            "x": 0.24,
            "y": 0.21
          },
          "kind": "image",
          "text": "Robotic hand holding a blue object",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.094+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c459c064-381c-4687-acf8-e23ad77ce71f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.18,
            "x": 0.41,
            "y": 0.08
          },
          "kind": "title",
          "text": "Diverse objects",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.094+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ff06993e-cfd8-4842-b2ce-66d1e68cd6b6",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 27,
      "type": "appendix",
      "title": "The slide illustrates the concept of domain randomization in machine learning, specifically for robotics, by showing visual diversity in training data.",
      "function": "illustrate_case",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 8,
        "componentCount": 2,
        "textChars": 99,
        "nDataPoints": 0,
        "notes": "The slide illustrates the concept of domain randomization in machine learning, specifically for robotics, by showing visual diversity in training data.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:14.664+00",
          "seconds": 2.489,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/27",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-27",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.71,
            "w": 0.72,
            "x": 0.14,
            "y": 0.21
          },
          "kind": "image",
          "text": "Grid of 15 images showing robotic manipulation in varied simulated environments",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Icon grid",
              "slug": "icon-grid",
              "status": "active",
              "canonId": "019de52c-fdfe-749d-9990-1db465a3eed4",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "icon-grid",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d439c258-c17f-402b-8ce5-b350ee62d5ad",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.28,
            "x": 0.36,
            "y": 0.08
          },
          "kind": "title",
          "text": "Domain randomization",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.664+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cb4d1c69-ba91-4408-9594-3e703d20f0f4",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 28,
      "type": "appendix",
      "title": "The slide illustrates a machine learning training architecture involving distributed data collection, a control policy (LSTM), and a perception model (CNN).",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 11,
        "componentCount": 2,
        "textChars": 141,
        "nDataPoints": 0,
        "notes": "The slide illustrates a machine learning training architecture involving distributed data collection, a control policy (LSTM), and a perception model (CNN).",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:14.734+00",
          "seconds": 2.246,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/28",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-28",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.65,
            "w": 0.64,
            "x": 0.18,
            "y": 0.2
          },
          "kind": "diagram",
          "text": "A: Distributed workers collect experience. B: Control policy training (LSTM). C: CNN training for object pose prediction.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.734+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5eedebc9-c5ba-4a99-b8f3-6840c37a9733",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "Domain randomization",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:14.734+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8e40ab4e-3d1c-44cb-8b52-6e0abe0ccd41",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "48b2ff1e-228c-4e47-b26e-276ccdd3d4bf",
          "evidence": "The slide depicts a multi-stage machine learning training pipeline.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 14:17:14.734+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 28,
          "frameworkName": "process"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 29,
      "type": "setup",
      "title": "The diagram shows a multi-view input processed by convolutional layers, feeding into object pose estimation, which is then combined with fingertip locations to ",
      "function": "present_solution",
      "rawType": "propose_solution",
      "block": null,
      "metadata": {
        "slideType": "propose_solution",
        "slideTypeCanon": {
          "name": "Propose solution (contrarian)",
          "slug": "propose_solution",
          "status": "active",
          "canonId": "019de52d-1274-703c-81c6-5550f451697b",
          "version": 1,
          "description": null
        },
        "function": "present_solution",
        "functionCanon": {
          "name": "Present solution",
          "slug": "present_solution",
          "status": "active",
          "canonId": "019de52d-15b8-71da-bd23-2b767850cbce",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 30,
        "componentCount": 4,
        "textChars": 203,
        "nDataPoints": 0,
        "notes": "The diagram shows a multi-view input processed by convolutional layers, feeding into object pose estimation, which is then combined with fingertip locations to drive an LSTM-based control policy.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:19.942+00",
          "seconds": 7.346,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/29",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-29",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.45,
            "w": 0.84,
            "x": 0.08,
            "y": 0.31
          },
          "kind": "diagram",
          "text": "Technical architecture flow from image input to robotic actions",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.942+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dd22383d-7311-4509-90a4-d98b93747ffe",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.06,
            "w": 0.35,
            "x": 0.09,
            "y": 0.33
          },
          "kind": "paragraph",
          "text": "D We combine the pose estimation network and the control policy to transfer to the real world.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.942+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "56e1b1c8-2c17-41a4-9f83-05c53942d78c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.26,
            "x": 0.37,
            "y": 0.08
          },
          "kind": "title",
          "text": "Domain randomization",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.942+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "df105b99-58c2-48b0-a15c-714384222fa2",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.22,
            "x": 0.08,
            "y": 0.22
          },
          "kind": "title",
          "text": "Transfer to the Real World",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.942+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6ba1dbaf-4512-4822-a60d-5b041f02c241",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "86cfe470-b9a2-4643-8db6-9c2b782bb29c",
          "evidence": "The diagram maps the sequential flow of data from visual input to robotic action.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 14:17:19.942+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 29,
          "frameworkName": "causal-chain"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 30,
      "type": "setup",
      "function": "front_matter",
      "rawType": "cover",
      "block": null,
      "metadata": {
        "slideType": "cover",
        "slideTypeCanon": {
          "name": "Cover",
          "slug": "cover",
          "status": "active",
          "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410",
          "version": 1,
          "description": null
        },
        "function": "front_matter",
        "functionCanon": {
          "name": "Front matter",
          "slug": "front_matter",
          "status": "active",
          "canonId": "019de52d-133d-73f0-9e26-201eda96b098",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 4,
        "componentCount": 2,
        "textChars": 29,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:17.138+00",
          "seconds": 4.491,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/30",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-30",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.44,
            "x": 0.28,
            "y": 0.35
          },
          "kind": "image",
          "text": "OpenAI Rapid logo",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Logo",
              "slug": "logo",
              "status": "active",
              "canonId": "019de52c-fdaf-743d-94c4-d7c6a0e55302",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "logo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.138+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5232321b-6624-4392-86b0-ed7d9b70e876",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.24,
            "x": 0.48,
            "y": 0.42
          },
          "kind": "title",
          "text": "OpenAI Rapid",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.138+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "73ed9380-b85a-45ee-baab-88f7eb3963c8",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Slide recipe: Cover",
            "slug": "cover-slide",
            "status": "active",
            "bestFor": null,
            "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3",
            "version": 1,
            "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65",
            "description": "The first ten seconds. Build it deliberately.",
            "familyLabel": "slide-recipe",
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "designer",
          "layer": "slide",
          "agents": [
            "designer"
          ],
          "matchId": "2350616b-6c67-4f4a-addd-47d10c6363fa",
          "evidence": "type: cover",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:45.967733+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 30,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 31,
      "type": "appendix",
      "title": "The slide uses a Venn diagram to show overlap between two AI projects.",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 34,
        "componentCount": 4,
        "textChars": 278,
        "nDataPoints": 0,
        "notes": "The slide uses a Venn diagram to show overlap between two AI projects.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:15.161+00",
          "seconds": 2.46,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/31",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-31",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.8,
            "w": 0.7,
            "x": 0.15,
            "y": 0.1
          },
          "kind": "diagram",
          "text": "Venn diagram showing Dactyl (left), OpenAI Five (right), and shared OpenAI Rapid components (center).",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Venn diagram",
              "slug": "venn",
              "status": "active",
              "canonId": "019de52d-0463-710d-b529-cce18d828d2f",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "venn",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.161+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "95826836-6fb7-461b-8fe5-d9ca09ba2a06",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.1,
            "x": 0.45,
            "y": 0.45
          },
          "kind": "list",
          "text": "Shared: Cloud APIs, PPO, LSTM",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.161+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "360cab1b-8956-4270-a959-c29db74ed04c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.2,
            "x": 0.2,
            "y": 0.4
          },
          "kind": "list",
          "text": "Dactyl specific: Robot API, Randomizations, Vision-To-State Network",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.161+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "c29e97db-881a-4c0f-9ecb-fbf5b36245b0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.2,
            "x": 0.6,
            "y": 0.4
          },
          "kind": "list",
          "text": "OpenAI Five specific: Vision-To-State Input, Vision-To-State Rewards, Team Spirit",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.161+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "da676d5c-8eb6-420a-87ec-0d7132d42c55",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Venn diagram",
            "slug": "venn-diagram",
            "status": "active",
            "bestFor": null,
            "canonId": "019de52d-1f53-7290-96c8-79388c95fc17",
            "version": 1,
            "bodyDocId": null,
            "description": null,
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "ed208ca6-0ea6-43ce-9545-31e878f29c24",
          "evidence": "diagram/venn: Venn diagram showing Dactyl (left), OpenAI Five (right), and shared OpenAI Rapid components (center).",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:46.050349+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 31,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "9ec0f614-86a6-459b-9c1f-ef879b41e773",
          "evidence": "Visual representation of overlapping sets",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:15.161+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 31,
          "frameworkName": "venn-diagram"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 32,
      "type": "appendix",
      "title": "The slide serves as a visual aid to demonstrate the hardware configuration of a vision-based robotic system.",
      "function": "illustrate_case",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 3,
        "componentCount": 2,
        "textChars": 19,
        "nDataPoints": 0,
        "notes": "The slide serves as a visual aid to demonstrate the hardware configuration of a vision-based robotic system.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:16.938+00",
          "seconds": 4.033,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/32",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-32",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.68,
            "w": 0.58,
            "x": 0.21,
            "y": 0.21
          },
          "kind": "image",
          "text": null,
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.938+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "70f408dc-91b0-46b4-b50b-d9dc4b52e0e8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "Vision-based system",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.938+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f5f1ea19-ecfc-43b3-b6c0-13d37de7cd85",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 33,
      "type": "appendix",
      "title": "The diagram represents a deep learning architecture for multi-camera vision processing.",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 6,
        "componentCount": 2,
        "textChars": 59,
        "nDataPoints": 0,
        "notes": "The diagram represents a deep learning architecture for multi-camera vision processing.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:18.29+00",
          "seconds": 5.191,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/33",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-33",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.75,
            "w": 0.4,
            "x": 0.3,
            "y": 0.15
          },
          "kind": "diagram",
          "text": "Multi-stream neural network architecture",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.29+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ee11cce7-3a40-42e9-a1f2-79519719ceda",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "Vision Architecture",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.29+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5417561a-5265-4ea6-9e65-3693e01d647b",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "f7ebc01b-3c3c-40c6-a016-8c6a6cd1f564",
          "evidence": "The slide depicts a standard deep learning pipeline structure.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 14:17:18.29+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 33,
          "frameworkName": "neural-network-architecture"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 34,
      "type": "appendix",
      "title": "The diagram represents a standard deep reinforcement learning policy architecture.",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 23,
        "componentCount": 4,
        "textChars": 106,
        "nDataPoints": 0,
        "notes": "The diagram represents a standard deep reinforcement learning policy architecture.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:21.278+00",
          "seconds": 8.013,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/34",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-34",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.07,
            "w": 0.24,
            "x": 0.05,
            "y": 0.82
          },
          "kind": "callout",
          "text": "fingertip positions object pose",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.278+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "527f0cd4-ade6-4fdb-a9e7-04ea776f1021",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.07,
            "w": 0.24,
            "x": 0.71,
            "y": 0.21
          },
          "kind": "callout",
          "text": "finger joint positions",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.278+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5723771c-842b-4dc4-80a2-e0f4e279a5e7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.62,
            "w": 0.28,
            "x": 0.36,
            "y": 0.21
          },
          "kind": "diagram",
          "text": "Flowchart of neural network layers",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.278+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "521d6030-4a2f-4fe1-b06a-d952c7848e0e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "Policy Architecture",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.278+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a7591b5a-dc3d-424f-b5ab-d70f8f3cb81b",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "324cba20-b0e7-448f-b6db-6c6d7c066992",
          "evidence": "The slide depicts a sequential processing pipeline typical of neural network policy models.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:21.278+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 34,
          "frameworkName": "neural-network-architecture"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 35,
      "type": "setup",
      "function": "front_matter",
      "rawType": "cover",
      "block": null,
      "metadata": {
        "slideType": "cover",
        "slideTypeCanon": {
          "name": "Cover",
          "slug": "cover",
          "status": "active",
          "canonId": "019de52d-05f2-729d-9f93-e0504f0a2410",
          "version": 1,
          "description": null
        },
        "function": "front_matter",
        "functionCanon": {
          "name": "Front matter",
          "slug": "front_matter",
          "status": "active",
          "canonId": "019de52d-133d-73f0-9e26-201eda96b098",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 4,
        "componentCount": 1,
        "textChars": 59,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:15.274+00",
          "seconds": 2.009,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/35",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-35",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.15,
            "w": 0.6,
            "x": 0.05,
            "y": 0.45
          },
          "kind": "title",
          "text": "Improving Language Understanding with Unsupervised Learning",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.274+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ea3cbf90-ff1e-4238-abf7-5ea9ca53c32c",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Slide recipe: Cover",
            "slug": "cover-slide",
            "status": "active",
            "bestFor": null,
            "canonId": "019df269-2a08-767d-9128-e7431e6fe8a3",
            "version": 1,
            "bodyDocId": "019df269-29e5-7738-b5fa-6892e5dc8e65",
            "description": "The first ten seconds. Build it deliberately.",
            "familyLabel": "slide-recipe",
            "categoryName": "Slide",
            "categorySlug": "slide"
          },
          "agent": "designer",
          "layer": "slide",
          "agents": [
            "designer"
          ],
          "matchId": "1c306ab0-1cf0-44fa-bed2-a956d22fa781",
          "evidence": "type: cover",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:46.255452+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 35,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 36,
      "type": "setup",
      "title": "The table compares performance on 15 different datasets/tasks.",
      "function": "compare_peers",
      "rawType": "comparison_table",
      "block": null,
      "metadata": {
        "slideType": "comparison_table",
        "slideTypeCanon": {
          "name": "Comparison table",
          "slug": "comparison_table",
          "status": "active",
          "canonId": "019de52d-0a06-73f8-8813-fe022fab1de2",
          "version": 1,
          "description": null
        },
        "function": "compare_peers",
        "functionCanon": {
          "name": "Compare peers",
          "slug": "compare_peers",
          "status": "active",
          "canonId": "019de52d-1453-72ba-a367-9ba3d34c1630",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 42,
        "componentCount": 1,
        "textChars": 643,
        "nDataPoints": 30,
        "notes": "The table compares performance on 15 different datasets/tasks.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:19.621+00",
          "seconds": 5.821,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/36",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-36",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.7,
            "w": 0.44,
            "x": 0.28,
            "y": 0.15
          },
          "kind": "table",
          "text": "Dataset, Task, SOTA, Ours; SNLI, Textual Entailment, 89.3, 89.9; MNLI Matched, Textual Entailment, 80.6, 82.1; MNLI Mismatched, Textual Entailment, 80.1, 81.4; SciTail, Textual Entailment, 83.3, 88.3; QNLI, Textual Entailment, 82.3, 88.1; RTE, Textual Entailment, 61.7, 56.0; STS-B, Semantic Similarity, 81.0, 82.0; QQP, Semantic Similarity, 66.1, 70.3; MRPC, Semantic Similarity, 86.0, 82.3; RACE, Reading Comprehension, 53.3, 59.0; ROCStories, Commonsense Reasoning, 77.6, 86.5; COPA, Commonsense Reasoning, 71.2, 78.6; SST-2, Sentiment Analysis, 93.2, 91.3; CoLA, Linguistic Acceptability, 35.0, 45.4; GLUE, Multi Task Benchmark, 68.9, 72.8",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Table",
              "slug": "table",
              "status": "active",
              "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28",
              "version": 1,
              "description": "Tabular data layout."
            },
            "tool": null,
            "subkind": {
              "name": "Data table",
              "slug": "data",
              "status": "active",
              "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "data",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.621+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "235c8fd6-46ac-4d2c-a38c-1e2d92c5320a",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 37,
      "type": "evidence",
      "title": "The slide contains a screenshot of a document or email thread with three distinct sections labeled 'Bank', 'Mattress', and 'Coffee'.",
      "function": "illustrate_case",
      "rawType": "testimonial",
      "block": null,
      "metadata": {
        "slideType": "testimonial",
        "slideTypeCanon": {
          "name": "Testimonial",
          "slug": "testimonial",
          "status": "active",
          "canonId": "019de52d-0a2d-7782-8a48-7e84df92cc97",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 6,
        "componentCount": 2,
        "textChars": 62,
        "nDataPoints": 0,
        "notes": "The slide contains a screenshot of a document or email thread with three distinct sections labeled 'Bank', 'Mattress', and 'Coffee'.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:16.077+00",
          "seconds": 2.227,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/37",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-37",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.65,
            "w": 0.24,
            "x": 0.38,
            "y": 0.212
          },
          "kind": "image",
          "text": "Screenshot of text-heavy feedback document",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.077+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8c6fdb2e-94ce-4d31-b6fa-d55c303558f0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.26,
            "x": 0.37,
            "y": 0.08
          },
          "kind": "title",
          "text": "Biggest improvement:",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.077+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3cfdd605-521d-4010-a7f3-942d36f6cb21",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 38,
      "type": "analysis",
      "function": "analyze_data",
      "rawType": "appendix_data",
      "block": null,
      "metadata": {
        "slideType": "appendix_data",
        "slideTypeCanon": {
          "name": "Appendix data",
          "slug": "appendix_data",
          "status": "active",
          "canonId": "019de52d-078a-745b-9ee4-c15f2f539acd",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 13,
        "componentCount": 2,
        "textChars": 111,
        "nDataPoints": 2,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:15.63+00",
          "seconds": 1.742,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/38",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-38",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.4,
            "w": 0.6,
            "x": 0.2,
            "y": 0.2
          },
          "kind": "list",
          "text": "The model: a transformer\nDataset: a corpus of books\nContext size: 512\nTraining time: 8 P100s for 1 month",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.63+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5f4d3ea0-c21f-4378-959e-149ada67b631",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.08,
            "x": 0.46,
            "y": 0.08
          },
          "kind": "title",
          "text": "Details",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:15.63+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1c6db346-2018-4ea7-9657-7101295d4c59",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 39,
      "type": "appendix",
      "title": "The slide shows a 12x repeated transformer block on the left and specific input/output processing pipelines for four different NLP tasks on the right.",
      "function": "present_framework",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "present_framework",
        "functionCanon": {
          "name": "Present framework",
          "slug": "present_framework",
          "status": "active",
          "canonId": "019de52d-1403-7667-9100-d2ac6709f750",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 7,
        "componentCount": 2,
        "textChars": 76,
        "nDataPoints": 0,
        "notes": "The slide shows a 12x repeated transformer block on the left and specific input/output processing pipelines for four different NLP tasks on the right.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:19.913+00",
          "seconds": 6.005,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/39",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-39",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.72,
            "w": 0.85,
            "x": 0.08,
            "y": 0.18
          },
          "kind": "diagram",
          "text": "Transformer architecture and task-specific input processing pipelines",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.913+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "43621e4b-5301-4b58-b0af-d42cac9b1ca4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.06,
            "x": 0.47,
            "y": 0.05
          },
          "kind": "title",
          "text": "Details",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.913+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b98408f3-90bd-411b-ad94-cb5dd1a03347",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "c490a76f-c6c0-4c2d-b11b-a49e66aa3b23",
          "evidence": "Visual representation of transformer blocks and input processing",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:19.913+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 39,
          "frameworkName": "Transformer Architecture"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 40,
      "type": "setup",
      "function": "transition",
      "rawType": "section_divider",
      "block": null,
      "metadata": {
        "slideType": "section_divider",
        "slideTypeCanon": {
          "name": "Section divider",
          "slug": "section_divider",
          "status": "active",
          "canonId": "019de52d-066a-7402-9554-6ae504999041",
          "version": 1,
          "description": null
        },
        "function": "transition",
        "functionCanon": {
          "name": "Transition",
          "slug": "transition",
          "status": "active",
          "canonId": "019de52d-1365-7149-92aa-66df859e75fd",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 3,
        "componentCount": 1,
        "textChars": 37,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:16.024+00",
          "seconds": 1.942,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/40",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-40",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.9,
            "x": 0.05,
            "y": 0.45
          },
          "kind": "title",
          "text": "Can the current AI boom scale to AGI?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.024+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "654bc38c-ff3f-4405-83c6-b666b906c3c0",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Section divider",
            "slug": "section-divider",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4c66-707d-8d1f-6e14547134c7",
            "version": 1,
            "bodyDocId": null,
            "description": "A transitional slide marking the start of a new section.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "b6a7b644-986e-4ec3-bdba-1175523ce0d9",
          "evidence": "type: section_divider",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:39.058427+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 40,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "common",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 41,
      "type": "setup",
      "title": "The slide uses a minimalist design to emphasize the central argument.",
      "function": "frame_situation",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "frame_situation",
        "functionCanon": {
          "name": "Frame situation",
          "slug": "frame_situation",
          "status": "active",
          "canonId": "019de52d-17bc-718f-8752-05ef2b72d7b3",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 9,
        "componentCount": 2,
        "textChars": 112,
        "nDataPoints": 0,
        "notes": "The slide uses a minimalist design to emphasize the central argument.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:17.478+00",
          "seconds": 3.36,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/41",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-41",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.2,
            "w": 0.7,
            "x": 0.15,
            "y": 0.4
          },
          "kind": "title",
          "text": "While highly uncertain, near-term AGI should be taken as a serious possibility.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.478+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "451b17eb-cd6a-4df3-93f6-0bdf8caa9b0d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.35,
            "y": 0.28
          },
          "kind": "title",
          "text": "GOAL IS TO PRESENT EVIDENCE THAT:",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.478+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0c6b108e-cdff-466f-aad6-df2dca3e2fdc",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "e4ca0146-74e9-48b0-99f6-076811aa9651",
          "evidence": "The slide explicitly states the primary goal and thesis of the presentation.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:17.478+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 41,
          "frameworkName": "governing-thought"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 42,
      "type": "setup",
      "title": "The slide uses a blue background and includes a book cover image.",
      "function": "establish_context",
      "rawType": "quote_slide",
      "block": null,
      "metadata": {
        "slideType": "quote_slide",
        "slideTypeCanon": {
          "name": "Quote slide",
          "slug": "quote_slide",
          "status": "active",
          "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 56,
        "componentCount": 5,
        "textChars": 516,
        "nDataPoints": 0,
        "notes": "The slide uses a blue background and includes a book cover image.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:17.928+00",
          "seconds": 3.776,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/42",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-42",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.15,
            "x": 0.05,
            "y": 0.535
          },
          "kind": "image",
          "text": "Book cover of Profiles of the Future",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.928+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "17fb7357-ebb6-4b10-8b37-12b9c993712c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.4,
            "x": 0.05,
            "y": 0.32
          },
          "kind": "list",
          "text": "Lessons from history of AI\nFundamental limits of deep learning\nPractical limits on compute",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.928+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "34d81790-7f7a-4aca-b3dd-2aaa4332fb21",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.7,
            "x": 0.22,
            "y": 0.55
          },
          "kind": "quote",
          "text": "With few exceptions, scientists seem to make rather poor prophets; this is rather surprising, for imagination is one of the first requirements of a good scientist. Yet, time and again, distinguished astronomers and physicists have made utter fools of themselves by declaring publicly that such-and-such a project was impossible.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.928+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b609b8b5-e981-439b-90ee-a1b997a50c89",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.2,
            "x": 0.22,
            "y": 0.82
          },
          "kind": "source-note",
          "text": "— Profiles of the Future (1962)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.928+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a670acdb-cb65-48ce-ab67-0f85500d4125",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.5,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "title",
          "text": "Lessons from history of science",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.928+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d125ea14-0367-44c8-9db4-68dc9b0e5f81",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 43,
      "type": "tension",
      "title": "The slide uses a historical anecdote to preemptively address skepticism about innovation.",
      "function": "expose_contradiction",
      "rawType": "expose_contradiction",
      "block": null,
      "metadata": {
        "slideType": "expose_contradiction",
        "slideTypeCanon": {
          "name": "Expose contradiction",
          "slug": "expose_contradiction",
          "status": "active",
          "canonId": "019de52d-124c-75aa-984a-0a3d0d8fc8df",
          "version": 1,
          "description": null
        },
        "function": "expose_contradiction",
        "functionCanon": {
          "name": "Expose contradiction",
          "slug": "expose_contradiction",
          "status": "active",
          "canonId": "019de52d-171f-776f-887c-73edaff4cf9c",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 23,
        "componentCount": 3,
        "textChars": 244,
        "nDataPoints": 0,
        "notes": "The slide uses a historical anecdote to preemptively address skepticism about innovation.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:21.479+00",
          "seconds": 7.099,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/43",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-43",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.4,
            "w": 0.4,
            "x": 0.55,
            "y": 0.3
          },
          "kind": "image",
          "text": "First airplane flight, at Kitty Hawk (December 17, 1903)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.479+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f316ef75-87bb-4aba-a838-012f5da2b66f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.4,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "Simon Newcomb\n\n1901: heavier-than-air flight is impossible\n\n1908: it's possible, but won't be important since flying machines will never scale to both pilot and a passenger",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.479+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cc2cd92b-1544-4a71-abb0-bc4a9a2393c8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.2,
            "x": 0.4,
            "y": 0.05
          },
          "kind": "title",
          "text": "Moving goalposts",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.479+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "75438dd2-bdc7-4394-88c5-724e136391d6",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "c4259609-cfa4-46c6-8171-2773be7c4607",
          "evidence": "The title explicitly names the logical fallacy being illustrated.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:21.479+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 43,
          "frameworkName": "moving-goalposts"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 44,
      "type": "appendix",
      "title": "The slide uses a historical case study to illustrate the concept of 'aversion to scale' as a strategic failure.",
      "function": "illustrate_case",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 42,
        "componentCount": 4,
        "textChars": 323,
        "nDataPoints": 4,
        "notes": "The slide uses a historical case study to illustrate the concept of 'aversion to scale' as a strategic failure.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:16.799+00",
          "seconds": 2.287,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/44",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-44",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.6,
            "w": 0.25,
            "x": 0.67,
            "y": 0.2
          },
          "kind": "image",
          "text": "Replica Russian R-7 rocket, first reliable means to transport objects into Earth orbit (launched 1957)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.799+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3575277b-75ea-4e52-9d50-c526e9689f4d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.25,
            "x": 0.37,
            "y": 0.2
          },
          "kind": "image",
          "text": "Replica German V-2 rocket (invented 1942)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.799+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "863f5a60-ae53-4ce5-95d6-da053ab65aac",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.3,
            "w": 0.25,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "On extending V-2 (14-ton rocket) technology to 5-ton payload (200-ton rocket): America: never going to happen. Russia: let's do this. Result: Russia first to space",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.799+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "28c38896-c118-49af-8782-e36eff840519",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.19,
            "x": 0.405,
            "y": 0.05
          },
          "kind": "title",
          "text": "Aversion to scale",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:16.799+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7f3f55f9-0fa6-4efc-8a8b-3660f22bc70a",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 45,
      "type": "setup",
      "title": "The slide uses historical quotes to preemptively address potential skepticism from the audience regarding the presenter's proposal.",
      "function": "preempt_rebuttal",
      "rawType": "preempt_rebuttal",
      "block": null,
      "metadata": {
        "slideType": "preempt_rebuttal",
        "slideTypeCanon": {
          "name": "Preempt rebuttal",
          "slug": "preempt_rebuttal",
          "status": "active",
          "canonId": "019de52d-1225-7368-af32-6381fddabdb3",
          "version": 1,
          "description": null
        },
        "function": "preempt_rebuttal",
        "functionCanon": {
          "name": "Preempt rebuttal",
          "slug": "preempt_rebuttal",
          "status": "active",
          "canonId": "019de52d-18ab-7479-9a7e-820a2f03586a",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 47,
        "componentCount": 5,
        "textChars": 321,
        "nDataPoints": 0,
        "notes": "The slide uses historical quotes to preemptively address potential skepticism from the audience regarding the presenter's proposal.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:17.811+00",
          "seconds": 3.296,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/45",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-45",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.56,
            "w": 0.384,
            "x": 0.528,
            "y": 0.248
          },
          "kind": "image",
          "text": "Replica of Sputnik 1",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.811+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "19f93b97-f49b-43cd-b832-9e48e7418942",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.38,
            "x": 0.08,
            "y": 0.21
          },
          "kind": "paragraph",
          "text": "1936: \"It must be said at once that the whole procedure sketched in the present volume presents difficulties so fundamental a nature that we are forced to dismiss the notion as essentially impracticable...\"",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.811+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0a4dd28d-7616-4bda-88b9-5883f74fcc62",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.25,
            "x": 0.08,
            "y": 0.63
          },
          "kind": "paragraph",
          "text": "1956: \"Space travel is utter bilge\"",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.811+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "35d0c921-b340-4e53-911e-9271008dd2d9",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.28,
            "x": 0.08,
            "y": 0.74
          },
          "kind": "source-note",
          "text": "—Riet Woolley, Astronomer Royal of the UK",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.811+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f9bee592-c019-4ea4-9355-23038abf87b6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "Habitual detractors",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.811+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "bff805c9-92c6-48c8-b7fc-f1781221463e",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "20c117e2-d274-42f9-9dbe-89b7f3c34ac7",
          "evidence": "Uses historical examples of failed expert predictions to discredit potential future skepticism.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:17.811+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 45,
          "frameworkName": "preempt_rebuttal"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 46,
      "type": "evidence",
      "title": "The slide uses a quote to frame a historical perspective on the limitations of deep learning.",
      "function": "cite_precedent",
      "rawType": "quote_slide",
      "block": null,
      "metadata": {
        "slideType": "quote_slide",
        "slideTypeCanon": {
          "name": "Quote slide",
          "slug": "quote_slide",
          "status": "active",
          "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2",
          "version": 1,
          "description": null
        },
        "function": "cite_precedent",
        "functionCanon": {
          "name": "Cite precedent",
          "slug": "cite_precedent",
          "status": "active",
          "canonId": "019de52d-142b-714b-86d4-58aad7b568ec",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 54,
        "componentCount": 5,
        "textChars": 460,
        "nDataPoints": 0,
        "notes": "The slide uses a quote to frame a historical perspective on the limitations of deep learning.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:18.346+00",
          "seconds": 3.474,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/46",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-46",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.3,
            "w": 0.15,
            "x": 0.05,
            "y": 0.535
          },
          "kind": "image",
          "text": "Cover of Perceptrons book",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.346+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "1f0edace-5ce1-46b7-b22e-f57f24fba797",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.3,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "Lessons from history of science\nFundamental limits of deep learning\nPractical limits on compute",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.346+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "019361e4-9f23-469d-8daf-aab856893c65",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.7,
            "x": 0.22,
            "y": 0.53
          },
          "kind": "quote",
          "text": "We have the impression that many people in the connectionist community do not understand that [back-propagation] is merely a particular way to compute a gradient and have assumed that back-propagation is a new learning scheme that somehow gets around the basic limitations of hill-climbing.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.346+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e5f67497-ec51-4990-87b5-4e2032ea4e53",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.2,
            "x": 0.22,
            "y": 0.8
          },
          "kind": "source-note",
          "text": "— Minsky & Papert (1988)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.346+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "89e523b6-aff1-42d0-8226-edf28a27d649",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.4,
            "x": 0.05,
            "y": 0.25
          },
          "kind": "title",
          "text": "Lessons from history of AI",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.346+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "51142a6f-e968-4bad-a7bb-e9d01558e183",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "ea033d9a-2548-448c-99ae-34917050cf97",
          "evidence": "Uses a quote from Minsky & Papert to establish historical precedent.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:18.346+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 46,
          "frameworkName": "authority-citation"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 47,
      "type": "appendix",
      "title": "The slide presents a personal narrative of AI history, contrasting historical milestones with photos of prominent figures in the field.",
      "function": "establish_context",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 29,
        "componentCount": 4,
        "textChars": 194,
        "nDataPoints": 0,
        "notes": "The slide presents a personal narrative of AI history, contrasting historical milestones with photos of prominent figures in the field.",
        "elementsJson": null,
        "confidence": 0.9,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:17.834+00",
          "seconds": 2.792,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/47",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-47",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.4,
            "x": 0.52,
            "y": 0.23
          },
          "kind": "image",
          "text": "Guyon, Vapnik, Cortes",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.834+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "feea2ac1-eceb-4317-a600-2a5927a2829c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.26,
            "x": 0.52,
            "y": 0.58
          },
          "kind": "image",
          "text": "Sutskever, Krizhevsky, and Hinton",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.834+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d9fe39b3-12c7-45c8-adc0-57e8a38bf2aa",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.4,
            "w": 0.3,
            "x": 0.06,
            "y": 0.2
          },
          "kind": "list",
          "text": "1960s: Perceptron\n1970s: expert systems\n1980s: backprop\n1990s: SVM + kernel trick\n2012-: ImageNet\n2020-: ??",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Timeline item",
              "slug": "timeline-item",
              "status": "active",
              "canonId": "019de52c-fd0e-74ce-9443-440fbd8c23b4",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "timeline-item",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.834+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "89915051-24a5-465e-b549-501ee27298d4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.39,
            "x": 0.305,
            "y": 0.08
          },
          "kind": "title",
          "text": "History of AI—narrative I'd heard",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:17.834+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "0059a2c1-9e02-4e5e-a6d3-a00a3ceadac5",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 48,
      "type": "setup",
      "title": "The slide uses a historical photograph of Frank Rosenblatt and the Mark I Perceptron to provide context for the quote.",
      "function": "establish_context",
      "rawType": "quote_slide",
      "block": null,
      "metadata": {
        "slideType": "quote_slide",
        "slideTypeCanon": {
          "name": "Quote slide",
          "slug": "quote_slide",
          "status": "active",
          "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 43,
        "componentCount": 4,
        "textChars": 449,
        "nDataPoints": 0,
        "notes": "The slide uses a historical photograph of Frank Rosenblatt and the Mark I Perceptron to provide context for the quote.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:18.194+00",
          "seconds": 2.846,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/48",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-48",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.55,
            "w": 0.43,
            "x": 0.05,
            "y": 0.325
          },
          "kind": "image",
          "text": "Rosenblatt & perceptron (1950s)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.194+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f73e0f47-77ab-4291-89a5-cce1f5aa5050",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.43,
            "x": 0.52,
            "y": 0.2
          },
          "kind": "quote",
          "text": "The Navy revealed the embryo of an electronic computer today that it expects will be able to walk, talk, see, write, reproduce itself and be conscious of its existence. Later perceptrons will be able to recognize people and call out their names and instantly translate speech in one language to speech and writing in another language, it was predicted.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.194+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "741a0d13-ef92-4be5-918b-db23b21a3be8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.2,
            "x": 0.52,
            "y": 0.85
          },
          "kind": "source-note",
          "text": "—New York Times (1959)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.194+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3047fbc6-2c61-4e23-9ce3-4d3557f5b490",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.58,
            "x": 0.21,
            "y": 0.08
          },
          "kind": "title",
          "text": "Community reacted to hype around perceptrons",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.194+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4770a2e5-b512-43aa-9eed-51a2129fc3df",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "22f71145-0c27-42d5-ace7-7c5630133ed4",
          "evidence": "Uses a historical NYT quote to establish the context of AI hype.",
          "framework": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-05-02 14:17:18.194+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 48,
          "frameworkName": "authority-citation"
        }
      ],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 49,
      "type": "evidence",
      "title": "The slide features the book cover of 'Perceptrons' and a portrait of Seymour Papert.",
      "function": "cite_precedent",
      "rawType": "quote_slide",
      "block": null,
      "metadata": {
        "slideType": "quote_slide",
        "slideTypeCanon": {
          "name": "Quote slide",
          "slug": "quote_slide",
          "status": "active",
          "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2",
          "version": 1,
          "description": null
        },
        "function": "cite_precedent",
        "functionCanon": {
          "name": "Cite precedent",
          "slug": "cite_precedent",
          "status": "active",
          "canonId": "019de52d-142b-714b-86d4-58aad7b568ec",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 51,
        "componentCount": 5,
        "textChars": 387,
        "nDataPoints": 0,
        "notes": "The slide features the book cover of 'Perceptrons' and a portrait of Seymour Papert.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:18.644+00",
          "seconds": 3.235,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/49",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-49",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.22,
            "w": 0.13,
            "x": 0.12,
            "y": 0.63
          },
          "kind": "image",
          "text": "Portrait of Seymour Papert",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.644+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4d8a02a0-1db2-4056-bba3-cdce329314b8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.38,
            "w": 0.13,
            "x": 0.12,
            "y": 0.22
          },
          "kind": "image",
          "text": "Book cover of Perceptrons",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.644+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "60918bfc-fe65-49ca-b451-4473361f561e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.15,
            "x": 0.39,
            "y": 0.65
          },
          "kind": "paragraph",
          "text": "—Papert (1988)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.644+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "550a331e-c7b8-4a06-9ef4-bee61f43ee54",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.45,
            "w": 0.55,
            "x": 0.39,
            "y": 0.18
          },
          "kind": "quote",
          "text": "There was some hostility in the energy behind the research reported in Perceptrons...Part of our drive came, as we quite plainly acknowledged in our book, from the fact that funding and research energy were being dissipated on...misleading attempts to use connectionist methods in practical applications.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.644+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e4e0a8ee-9c09-4344-9912-1a5c3d0b0325",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.2,
            "x": 0.39,
            "y": 0.08
          },
          "kind": "title",
          "text": "Perceptrons (1969)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.644+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7d56545d-8291-4a18-ba7c-70417ecc94ea",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [
        {
          "to": 49,
          "from": 40,
          "loop": {
            "name": "27_cost_of_inaction",
            "slug": "27-cost-of-inaction",
            "status": "active",
            "bestFor": "Urgent budget requests, compliance, risk mitigation",
            "canonId": "019dd956-70d1-7395-a15b-857ba858b394",
            "version": 1,
            "bodyDocId": "019df22a-2420-77be-bc41-ded96d08cb21",
            "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
            "description": "Quantify what happens if the audience does nothing",
            "familyLabel": null
          },
          "matchId": "9610c943-c755-4d2d-84ab-fc123a8fbc41",
          "evidence": "The presentation discusses the lessons from history and the risks of underestimating AGI.",
          "position": 1,
          "objective": "The importance of taking AGI seriously",
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-16 22:07:12.299123+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": "doc-narrative-v1"
          }
        }
      ],
      "locked": true
    },
    {
      "page": 50,
      "type": "evidence",
      "title": "The slide uses a quote to provide historical context on the AI winter/funding skepticism.",
      "function": "cite_precedent",
      "rawType": "quote_slide",
      "block": null,
      "metadata": {
        "slideType": "quote_slide",
        "slideTypeCanon": {
          "name": "Quote slide",
          "slug": "quote_slide",
          "status": "active",
          "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2",
          "version": 1,
          "description": null
        },
        "function": "cite_precedent",
        "functionCanon": {
          "name": "Cite precedent",
          "slug": "cite_precedent",
          "status": "active",
          "canonId": "019de52d-142b-714b-86d4-58aad7b568ec",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 44,
        "componentCount": 4,
        "textChars": 470,
        "nDataPoints": 0,
        "notes": "The slide uses a quote to provide historical context on the AI winter/funding skepticism.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:18.456+00",
          "seconds": 3.02,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/50",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-50",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.35,
            "w": 0.16,
            "x": 0.11,
            "y": 0.35
          },
          "kind": "image",
          "text": "Minsky",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.456+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f0a01a0f-0cbe-481b-8c23-05278b96aca5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.56,
            "x": 0.33,
            "y": 0.18
          },
          "kind": "quote",
          "text": "In the late 1950s and early 1960s, after Rosenblatt's work, there was a great wave of neural network research activity. There were maybe thousands of projects. For example Stanford Research Institute had a good project. But nothing happened. The machines were very limited. So I would say by 1965 people were getting worried. They were trying to get money to build bigger machines, but they didn't seem to be going anywhere.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.456+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e360d7ae-04e4-47e3-8e32-f4338c2b5b7f",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.15,
            "x": 0.33,
            "y": 0.85
          },
          "kind": "source-note",
          "text": "—Minsky (1989)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.456+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f548d16d-0659-4dfd-8782-2bdef6ee284d",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.34,
            "x": 0.33,
            "y": 0.08
          },
          "kind": "title",
          "text": "Where was the money going?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.456+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "56a34893-e526-4dea-8585-4732d327d906",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "ae06161e-617c-45fa-b43d-250038202fa6",
          "evidence": "Use of a direct quote from a historical expert to validate a claim about past research trends.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:18.456+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 50,
          "frameworkName": "authority-citation"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 51,
      "type": "evidence",
      "title": "The slide features portraits of David Rumelhart, Geoffrey Hinton, James McClelland, and James Anderson.",
      "function": "cite_precedent",
      "rawType": "quote_slide",
      "block": null,
      "metadata": {
        "slideType": "quote_slide",
        "slideTypeCanon": {
          "name": "Quote slide",
          "slug": "quote_slide",
          "status": "active",
          "canonId": "019de52d-098e-7555-a9fd-4f0af7e80bc2",
          "version": 1,
          "description": null
        },
        "function": "cite_precedent",
        "functionCanon": {
          "name": "Cite precedent",
          "slug": "cite_precedent",
          "status": "active",
          "canonId": "019de52d-142b-714b-86d4-58aad7b568ec",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 58,
        "componentCount": 7,
        "textChars": 268,
        "nDataPoints": 0,
        "notes": "The slide features portraits of David Rumelhart, Geoffrey Hinton, James McClelland, and James Anderson.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:23.481+00",
          "seconds": 8.022,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/51",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-51",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.12,
            "x": 0.68,
            "y": 0.21
          },
          "kind": "image",
          "text": "Rumelhart",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.481+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "29e4faeb-8b96-4c0e-bae8-08b58c365a62",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.12,
            "x": 0.68,
            "y": 0.58
          },
          "kind": "image",
          "text": "McClelland",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.481+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "47abf7f4-d43b-4d94-8440-c6d9f1c6e9db",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.12,
            "x": 0.83,
            "y": 0.21
          },
          "kind": "image",
          "text": "Hinton",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.481+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9c78739d-4af4-4c16-8c17-a5144a985de7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.25,
            "w": 0.12,
            "x": 0.83,
            "y": 0.58
          },
          "kind": "image",
          "text": "Anderson",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Headshot",
              "slug": "headshot",
              "status": "active",
              "canonId": "019de52c-fd5f-765c-9282-38b54f61bbbf",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.481+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b302a710-efe5-47e5-8988-7b4fe2cfaebb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.18,
            "w": 0.58,
            "x": 0.05,
            "y": 0.21
          },
          "kind": "quote",
          "text": "In the early 1980s, dramatic decreases in computing costs brought about a 'democratization' in the access to computing resources.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.481+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "cb9955a0-839d-43c6-84a2-22efcec663e8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.07,
            "w": 0.58,
            "x": 0.05,
            "y": 0.42
          },
          "kind": "source-note",
          "text": "—A Sociological Study of the Official History of the Perceptrons Controversy (1996)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.481+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b37b143b-78ea-4555-a243-2fbdf1faf9b7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.28,
            "x": 0.36,
            "y": 0.08
          },
          "kind": "title",
          "text": "Neural networks revival",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.481+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8b0d98bc-d54f-4475-b6fe-1c290a2076a3",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [
        {
          "matchId": "194efcd2-4cee-4643-96a7-34af9540d15c",
          "evidence": "Uses a historical quote and portraits of experts to establish credibility for the neural network revival narrative.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:23.481+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 51,
          "frameworkName": "authority-citation"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 52,
      "type": "setup",
      "title": "The slide uses a historical anecdote about Gerald Tesauro to challenge the conventional narrative of AI development.",
      "function": "establish_context",
      "rawType": "key_messages",
      "block": null,
      "metadata": {
        "slideType": "key_messages",
        "slideTypeCanon": {
          "name": "Key messages",
          "slug": "key_messages",
          "status": "active",
          "canonId": "019de52d-0712-703f-89f5-bda6688faf3f",
          "version": 1,
          "description": null
        },
        "function": "establish_context",
        "functionCanon": {
          "name": "Establish context",
          "slug": "establish_context",
          "status": "active",
          "canonId": "019de52d-1314-74e6-9074-d213dc0bdcdf",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 50,
        "componentCount": 4,
        "textChars": 496,
        "nDataPoints": 2,
        "notes": "The slide uses a historical anecdote about Gerald Tesauro to challenge the conventional narrative of AI development.",
        "elementsJson": null,
        "confidence": 0.95,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:18.32+00",
          "seconds": 2.818,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/52",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-52",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.45,
            "w": 0.32,
            "x": 0.05,
            "y": 0.33
          },
          "kind": "image",
          "text": "Tesauro with TD-Gammon (1992)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.32+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "025201cc-f274-4017-8847-8c4667de231b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.2,
            "w": 0.55,
            "x": 0.35,
            "y": 0.215
          },
          "kind": "list",
          "text": "Deep learning has consistently scaled with compute for 60 years\nNew levels of compute steers researchers to develop new algorithms such as backpropagation, not the other way around\nFads have been more political than technical",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.32+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "47724041-bce1-4c90-b1d6-688d7c29eda8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.55,
            "x": 0.35,
            "y": 0.62
          },
          "kind": "quote",
          "text": "\"It took great chutzpah for Gerald Tesauro to start wasting computer cycles on temporal difference learning in the game of Backgammon\" [32k parameters; total training: 5s on modern GPU] —Pollack & Blair (1997)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.32+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "4a32c369-9e33-4ad1-a3d0-d0341cb39488",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.39,
            "x": 0.305,
            "y": 0.088
          },
          "kind": "title",
          "text": "History of AI—alternate narrative",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:18.32+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "56166153-741f-4ebc-8efa-bfcbe54096a9",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Storytelling: audience calibration",
            "slug": "audience",
            "status": "active",
            "bestFor": null,
            "canonId": "019df269-23ea-723a-87c0-af1d78d702d2",
            "version": 1,
            "bodyDocId": "019df269-23c5-72ec-8b94-78fc1da7b656",
            "description": "The same thesis, written for four different audiences, produces four",
            "familyLabel": "narrative-block",
            "categoryName": "Narrative & Transformation",
            "categorySlug": "narrative-transformation"
          },
          "agent": "storyteller",
          "layer": "slide",
          "agents": [
            "storyteller"
          ],
          "matchId": "6502945c-f489-4e8d-b944-aa19bc59dda8",
          "evidence": "Lessons from history of science Lessons from history of AI Practical limits on compute",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.7,
          "extraction": {
            "at": "2026-07-16 23:24:50.471958+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 52,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 53,
      "type": "setup",
      "title": "The slide uses a blue background with white text, typical of a section divider or transition slide.",
      "function": "transition",
      "rawType": "section_divider",
      "block": null,
      "metadata": {
        "slideType": "section_divider",
        "slideTypeCanon": {
          "name": "Section divider",
          "slug": "section_divider",
          "status": "active",
          "canonId": "019de52d-066a-7402-9554-6ae504999041",
          "version": 1,
          "description": null
        },
        "function": "transition",
        "functionCanon": {
          "name": "Transition",
          "slug": "transition",
          "status": "active",
          "canonId": "019de52d-1365-7149-92aa-66df859e75fd",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 35,
        "componentCount": 4,
        "textChars": 293,
        "nDataPoints": 0,
        "notes": "The slide uses a blue background with white text, typical of a section divider or transition slide.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:21.055+00",
          "seconds": 5.205,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/53",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-53",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.4,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "Lessons from history of science\nLessons from history of AI\nPractical limits on compute",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.055+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "88ff0985-76ad-4410-bac0-edac2e66622e",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.7,
            "x": 0.05,
            "y": 0.75
          },
          "kind": "quote",
          "text": "\"The speed with which those who once declaimed, 'It's impossible' can switch to, 'I said it could be done all the time' is really astounding.\"",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Quote",
              "slug": "quote",
              "status": "active",
              "canonId": "019de52c-f8fb-751e-8bc6-d58e2d59562a",
              "version": 1,
              "description": "Pull quote or testimonial."
            },
            "tool": null,
            "subkind": {
              "name": "Pull quote",
              "slug": "pull-quote",
              "status": "active",
              "canonId": "019de52c-fbf9-76fe-97e1-a0b7540445c9",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "pull-quote",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.055+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "a46e71a5-0ea5-4643-8377-70edc9ab1306",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.05,
            "y": 0.85
          },
          "kind": "source-note",
          "text": "—Profiles of the Future (1962)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Source note",
              "slug": "source-note",
              "status": "active",
              "canonId": "23484952-494b-4a5e-b1ad-550d0d70e948",
              "version": 1,
              "description": "Attribution / source / caveat placed at the slide footer. Numbered footnotes use attrs.numbered."
            },
            "tool": null,
            "subkind": null,
            "framework": null
          },
          "subkind": null,
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.055+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "e9678a94-48c5-4b56-816b-0929684d0a80",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.9,
            "x": 0.05,
            "y": 0.3
          },
          "kind": "title",
          "text": "Fundamental limits of deep learning",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.055+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d1d76671-e80b-4d29-a46b-47d82ee824dd",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "bb926836-ca3f-4934-8424-e1cdcc875dd4",
          "evidence": "Lessons from history of science Lessons from history of AI Practical limits on compute",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:50.552109+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 53,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 54,
      "type": "evidence",
      "title": "The slide uses a before-after-bridge framework to contrast traditional domain-specific feature engineering (HOG) with the deep learning approach.",
      "function": "illustrate_case",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 67,
        "componentCount": 6,
        "textChars": 414,
        "nDataPoints": 8,
        "notes": "The slide uses a before-after-bridge framework to contrast traditional domain-specific feature engineering (HOG) with the deep learning approach.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:19.438+00",
          "seconds": 3.337,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/54",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-54",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.35,
            "w": 0.4,
            "x": 0.55,
            "y": 0.55
          },
          "kind": "chart",
          "text": "ImageNet Classification Error (Top 5)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Vertical bar chart",
              "slug": "bar-vertical",
              "status": "active",
              "canonId": "019de52c-fe9d-70f2-b3b7-a9ae294f5917",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-vertical",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.438+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7e9c766e-8efc-4795-8b6c-b044050bc08b",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.3,
            "x": 0.65,
            "y": 0.08
          },
          "kind": "image",
          "text": "HOG features (2005) figure by Torralba",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Illustration",
              "slug": "illustration",
              "status": "active",
              "canonId": "019de52c-fe76-7772-a5ac-c0b7294d7615",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "illustration",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.438+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "85956544-e2c7-4cb5-9752-c6391bedfbcb",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.1,
            "w": 0.45,
            "x": 0.05,
            "y": 0.7
          },
          "kind": "paragraph",
          "text": "After: Neural networks dominant approach in these fields",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.438+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "3a386ab2-ec53-4ceb-8359-43d83cde0cdc",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.45,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "Before: Fantasy: one algorithm to solve speech recognition, machine translation, object recognition better than decades of domain-specific ingenuity",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.438+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8329e384-efda-4772-a646-d1cdd8dae2b3",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.45,
            "x": 0.05,
            "y": 0.45
          },
          "kind": "paragraph",
          "text": "The result: 60M-parameter neural network which got way better performance on the ImageNet dataset than any other approach",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.438+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ce5cbf3f-eb6e-49f0-9552-c526c52025e5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.16,
            "x": 0.417,
            "y": 0.08
          },
          "kind": "title",
          "text": "AlexNet (2012)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.438+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "6821e448-0e9c-4a35-a913-040274226ddc",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "80a7d69e-9dc7-4ce9-9036-8ac8d299465d",
          "evidence": "Before: Fantasy: one algorithm to solve speech recognition, machine translation, object recognition better than decades of domain-specific ingenuity",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:50.674314+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 54,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        },
        {
          "tool": {
            "name": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "3f8cb4c8-9ce2-43cf-8df5-5c126e6907b4",
          "evidence": "Before: Fantasy: one algorithm to solve speech recognition, machine translation, object recognition better than decades of domain-specific ingenuity",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:50.635358+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 54,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "69198662-5765-46c1-a608-6c68da67d062",
          "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' sections to show a paradigm shift.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:19.438+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 54,
          "frameworkName": "before-after-bridge"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 55,
      "type": "evidence",
      "title": "Uses a classic before-after-bridge structure to highlight the paradigm shift in AI research.",
      "function": "illustrate_case",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 30,
        "componentCount": 3,
        "textChars": 303,
        "nDataPoints": 1,
        "notes": "Uses a classic before-after-bridge structure to highlight the paradigm shift in AI research.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:19.01+00",
          "seconds": 2.803,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/55",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-55",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.55,
            "w": 0.38,
            "x": 0.55,
            "y": 0.28
          },
          "kind": "image",
          "text": "Atari Breakout game screenshot",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.01+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ac8c764c-4e06-40f0-af32-9cef9c56f599",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.55,
            "w": 0.43,
            "x": 0.05,
            "y": 0.21
          },
          "kind": "list",
          "text": "Before: Deep learning is about static datasets. The result: 150,000-parameter feed-forward neural network which learned to play a number of Atari games purely from pixels and score. After: RL + deep networks might actually be able to observe and act in the world.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.01+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "64e10239-46a1-48e5-a9ac-6dc015152244",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.12,
            "x": 0.44,
            "y": 0.08
          },
          "kind": "title",
          "text": "DQN (2013)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.01+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "f00f897e-11c7-44a5-ae48-0961ae240d17",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "ca4843c5-64c1-46ca-888e-7ef5c97dd03f",
          "evidence": "Before: Deep learning is about static datasets.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:50.794046+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 55,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        },
        {
          "tool": {
            "name": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "df46387c-1217-4677-93ec-f010c9d1de41",
          "evidence": "Before: Deep learning is about static datasets.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:50.754113+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 55,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "7cc8fb17-4544-44d9-8b61-da27417e26ea",
          "evidence": "The slide explicitly uses 'Before', 'The result', and 'After' headers to frame the technological shift.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:19.01+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 55,
          "frameworkName": "before-after-bridge"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 56,
      "type": "evidence",
      "title": "The slide uses a before-after-bridge framework to illustrate the paradigm shift in deep learning capabilities.",
      "function": "illustrate_case",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 43,
        "componentCount": 4,
        "textChars": 356,
        "nDataPoints": 1,
        "notes": "The slide uses a before-after-bridge framework to illustrate the paradigm shift in deep learning capabilities.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:21.583+00",
          "seconds": 5.297,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/56",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-56",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.25,
            "w": 0.43,
            "x": 0.525,
            "y": 0.4
          },
          "kind": "diagram",
          "text": "Encoder-Decoder architecture diagram",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Diagram",
              "slug": "diagram",
              "status": "active",
              "canonId": "019de52c-f9f0-734a-81de-15382ff28c65",
              "version": 1,
              "description": "Schematic or relational diagram."
            },
            "tool": null,
            "subkind": {
              "name": "Process flow",
              "slug": "process",
              "status": "active",
              "canonId": "019de52d-039c-718f-ad3a-efe9c4b3c838",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "process",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.583+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "dab4cda2-5a06-4579-bfc7-618eb0adfa46",
          "parentComponentId": null
        },
        {
          "bbox": null,
          "kind": "framework",
          "text": "Before-After-Bridge structure",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Framework",
              "slug": "framework",
              "status": "active",
              "canonId": "019de52c-fa18-77c6-b10a-ccb8277ac0fa",
              "version": 1,
              "description": "Named conceptual framework instance."
            },
            "tool": null,
            "subkind": {
              "name": "Framework instance",
              "slug": "instance",
              "status": "active",
              "canonId": "019de52d-05a2-72af-be0b-7edc60708a03",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "instance",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.583+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "374e19ff-6a0e-4f28-a696-0d092c5e7b25",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.556,
            "w": 0.458,
            "x": 0.052,
            "y": 0.215
          },
          "kind": "list",
          "text": "Before: Deep learning is just perception\nThe result: 380M-parameter neural network mapping input sequence in one language to output sequence in another\nAfter: Deep learning can solve even the hardest supervised learning problems, regardless of type signature",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.583+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "112046fb-0920-4360-a3cc-b8b8e4b8a061",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.035,
            "w": 0.394,
            "x": 0.303,
            "y": 0.088
          },
          "kind": "title",
          "text": "Neural Machine Translation (2015)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:21.583+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b7aff9b4-563e-46ab-8ef0-42677ac33954",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "30ec7e55-6681-4d65-9b15-d39f4200d29c",
          "evidence": "Before: Deep learning is just perception",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:50.875633+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 56,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "859efbfd-6dd3-4bdf-a255-97ae173368ab",
          "evidence": "Explicitly labels 'Before', 'The result' (bridge), and 'After' sections.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:21.583+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 56,
          "frameworkName": "before-after-bridge"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 57,
      "type": "evidence",
      "title": "Uses a classic before-after-bridge structure to highlight the breakthrough of AlphaGo.",
      "function": "illustrate_case",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 31,
        "componentCount": 3,
        "textChars": 316,
        "nDataPoints": 1,
        "notes": "Uses a classic before-after-bridge structure to highlight the breakthrough of AlphaGo.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:22.441+00",
          "seconds": 5.881,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/57",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-57",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.55,
            "w": 0.43,
            "x": 0.52,
            "y": 0.38
          },
          "kind": "image",
          "text": "Screenshot of AlphaGo vs Lee Sedol match",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:22.441+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "510a4ed3-708b-4f78-92e2-0e8633bc29b4",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.55,
            "w": 0.42,
            "x": 0.05,
            "y": 0.21
          },
          "kind": "list",
          "text": "Before: RL can't actually solve hard tasks. The result: 72-million parameter feedforward neural network, coupled with MCTS, to defeat top humans at Go. After: RL + MCTS can solve hard problems, given: discrete actions, modest action space, simulator at test time",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:22.441+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "87656fa4-ee5c-4f6c-a504-f79f767f08d0",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.03,
            "w": 0.14,
            "x": 0.43,
            "y": 0.08
          },
          "kind": "title",
          "text": "AlphaGo (2016)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:22.441+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "617f0d47-4cd6-474f-9638-ab68edcc2c1b",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "bf32d851-19b5-4485-b6e8-8ba64e2ce85a",
          "evidence": "Before: RL can't actually solve hard tasks.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:50.997378+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 57,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        },
        {
          "tool": {
            "name": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "961aab85-f9c5-4f9f-8409-5295937830ef",
          "evidence": "Before: RL can't actually solve hard tasks.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:50.956521+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 57,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "b1721d77-6717-4c56-b4b8-fb84822ae2f2",
          "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' sections to demonstrate a paradigm shift.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:22.441+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 57,
          "frameworkName": "before-after-bridge"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 58,
      "type": "evidence",
      "title": "Uses a before-after-bridge framework to show the evolution of RL capabilities.",
      "function": "illustrate_case",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 43,
        "componentCount": 4,
        "textChars": 366,
        "nDataPoints": 1,
        "notes": "Uses a before-after-bridge framework to show the evolution of RL capabilities.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:19.629+00",
          "seconds": 2.562,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/58",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-58",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.35,
            "w": 0.38,
            "x": 0.57,
            "y": 0.21
          },
          "kind": "image",
          "text": "Pain Gaming team photo",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.629+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b2e32dfa-aaae-4125-aad5-f549944c4509",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.35,
            "w": 0.38,
            "x": 0.57,
            "y": 0.58
          },
          "kind": "image",
          "text": "Dota 2 gameplay screenshot",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Screenshot",
              "slug": "screenshot",
              "status": "active",
              "canonId": "019de52c-fd87-7509-8391-3d79fb339379",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "screenshot",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.629+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7ad3f9be-cdd9-45e8-a6a2-c6a3e9e87253",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.6,
            "w": 0.4,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "list",
          "text": "Before: RL can't solve hard tasks on its own—long-term planning is fundamental barrier. The result: 100M-parameter LSTM competitive with (not yet exceeding) top humans in the esports game Dota 2. After: RL can solve extremely hard problems with long-term planning, given only training-time simulator.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.629+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "7b45d65e-84f5-4b87-bc58-1215c049fcd5",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.24,
            "x": 0.38,
            "y": 0.08
          },
          "kind": "title",
          "text": "OpenAI Five (2018)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.629+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "5e607e8c-2243-4181-86a1-cec6c5fab7c2",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "dad529c1-2d26-4dc7-aa91-8f7ca7b92a4e",
          "evidence": "Before: RL can't solve hard tasks on its own—long-term planning is fundamental barrier.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:51.119237+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 58,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        },
        {
          "tool": {
            "name": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "a37fae1e-49e7-4a11-81dc-3267b4312466",
          "evidence": "Before: RL can't solve hard tasks on its own—long-term planning is fundamental barrier.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:51.079199+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 58,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "540bf194-4b5c-4bfc-82d7-57efa59509b4",
          "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' sections to show progress.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:19.629+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 58,
          "frameworkName": "before-after-bridge"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 59,
      "type": "evidence",
      "title": "Uses a before-after-bridge structure to highlight the breakthrough in robotics.",
      "function": "illustrate_case",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "illustrate_case",
        "functionCanon": {
          "name": "Illustrate case",
          "slug": "illustrate_case",
          "status": "active",
          "canonId": "019de52d-13b4-772c-bb73-1873612a7463",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 35,
        "componentCount": 3,
        "textChars": 380,
        "nDataPoints": 1,
        "notes": "Uses a before-after-bridge structure to highlight the breakthrough in robotics.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:23.573+00",
          "seconds": 6.425,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/59",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-59",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.438,
            "w": 0.425,
            "x": 0.529,
            "y": 0.348
          },
          "kind": "image",
          "text": "Robot hand manipulating a cube",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Image",
              "slug": "image",
              "status": "active",
              "canonId": "019de52c-f978-701f-a720-51d029d769e7",
              "version": 1,
              "description": "Photo, illustration, screenshot or icon."
            },
            "tool": null,
            "subkind": {
              "name": "Photo",
              "slug": "photo",
              "status": "active",
              "canonId": "019de52c-fd37-757f-b4a8-ca26d4888875",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "photo",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.573+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "76f67dde-75ac-4c33-99df-d1d449a6cf78",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.65,
            "w": 0.45,
            "x": 0.05,
            "y": 0.21
          },
          "kind": "list",
          "text": "Before: Deep RL is limited to games and other perfectly-simulatable problems. The result: 1.5M-parameter LSTM, trained in simulation by the OpenAI Five training system & learning algorithm, deployed on a physical robot hand to manipulate a cube. After: Deep RL can cross reality gap given only a \"good enough\" simulator at training time.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.573+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "946eb8e4-b5c0-43a4-a47d-a8e771c66f36",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.16,
            "x": 0.42,
            "y": 0.08
          },
          "kind": "title",
          "text": "Dactyl (2018)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:23.573+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "d02a8f1b-7b70-4248-b503-cd77091c63a4",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "9e127fcf-7a5f-4880-b7de-d642ff176a36",
          "evidence": "Before: Deep RL is limited to games and other perfectly-simulatable problems.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:51.240294+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 59,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        },
        {
          "tool": {
            "name": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "da50e892-2b16-4027-8caf-e55585211a07",
          "evidence": "Before: Deep RL is limited to games and other perfectly-simulatable problems.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:51.199196+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 59,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "9c705bcc-28c8-45c0-84a8-8b156241123b",
          "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' to demonstrate a technological advancement.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:23.573+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 59,
          "frameworkName": "before-after-bridge"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 60,
      "type": "evidence",
      "title": "This slide likely refers to the original GPT model (OpenAI, 2018).",
      "function": "analyze_data",
      "rawType": "before_after",
      "block": null,
      "metadata": {
        "slideType": "before_after",
        "slideTypeCanon": {
          "name": "Before / after",
          "slug": "before_after",
          "status": "active",
          "canonId": "019de52d-11fd-771e-bb45-e27f849bc560",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "dense",
        "densityScore": 58,
        "componentCount": 5,
        "textChars": 360,
        "nDataPoints": 28,
        "notes": "This slide likely refers to the original GPT model (OpenAI, 2018).",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:19.993+00",
          "seconds": 2.664,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/60",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-60",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.08,
            "w": 0.3,
            "x": 0.05,
            "y": 0.65
          },
          "kind": "callout",
          "text": "After: Unlabeled data can be even more important than labeled.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Callout",
              "slug": "callout",
              "status": "active",
              "canonId": "019de52c-f8d3-761a-8953-7d37080de5e2",
              "version": 1,
              "description": "Highlighted callout box."
            },
            "tool": null,
            "subkind": {
              "name": "Primary callout",
              "slug": "primary",
              "status": "active",
              "canonId": "019de52c-fbd1-70eb-a9ce-8997f8674c1d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "primary",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.993+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "58446306-fcd9-4c7a-997f-4744275e9f64",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.05,
            "y": 0.2
          },
          "kind": "paragraph",
          "text": "Before: AI progress is driven by labeled datasets.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.993+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "34d9a474-8f4a-42a7-9392-cb8fde70331c",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.3,
            "x": 0.05,
            "y": 0.35
          },
          "kind": "paragraph",
          "text": "The result: 117M-parameter transformer trained by reading 7,000 self-published books which, with a small amount of supervised fine-tuning, sets state-of-the-art on a huge variety of NLP datasets",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4",
              "version": 1,
              "description": "Single prose block in the body of a slide."
            },
            "tool": null,
            "subkind": {
              "name": "Paragraph",
              "slug": "paragraph",
              "status": "active",
              "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "paragraph",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.993+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ddd27a97-42f8-4ef7-9413-88b1bb39dfd7",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.7,
            "w": 0.45,
            "x": 0.5,
            "y": 0.2
          },
          "kind": "table",
          "text": "Dataset, Task, SOTA, Ours table",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Table",
              "slug": "table",
              "status": "active",
              "canonId": "019de52c-f9c8-7148-8119-eaac9594cd28",
              "version": 1,
              "description": "Tabular data layout."
            },
            "tool": null,
            "subkind": {
              "name": "Data table",
              "slug": "data",
              "status": "active",
              "canonId": "019de52d-02d5-75b8-8abf-88e92bf63569",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "data",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.993+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "20562ac7-ff16-4cad-b666-5574f4da604a",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.3,
            "x": 0.35,
            "y": 0.08
          },
          "kind": "title",
          "text": "Unsupervised NLP (2018)",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:19.993+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "08fca768-4041-46ec-ac44-15c20829da27",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Before-After-Bridge",
            "slug": "before-after-bridge",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-8604-7188-883f-42370288ad05",
            "version": 1,
            "bodyDocId": null,
            "description": "Narrative structure: Paint the before, show the after, explain the bridge",
            "familyLabel": null,
            "categoryName": "Block",
            "categorySlug": "block"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "09673b75-7363-468f-b1a0-da42dbd8f0c4",
          "evidence": "Before: AI progress is driven by labeled datasets.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:51.364078+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 60,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        },
        {
          "tool": {
            "name": "Before/after framing",
            "slug": "before-after-framing",
            "status": "active",
            "bestFor": "For turnaround / reform proposals",
            "canonId": "019dd9e1-528b-72ec-a563-e5dcb9410f67",
            "version": 1,
            "bodyDocId": "019dd9a1-80bf-72e9-980b-ccd1c0cd3488",
            "description": "You visualise two futures side by side: the trajectory the target is on\ntoday, and the trajectory under your proposed intervention. The reader\nhas to see the delta to feel the stakes.\n\nIt's the rhetorical cousin of the peer-gap — same visual grammar\n(comparison), but across **time** instead of across peers.",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "df2735ae-0e1b-41a3-be2a-a96f9d7abcba",
          "evidence": "Before: AI progress is driven by labeled datasets.",
          "pageRefs": null,
          "priority": null,
          "whenToUse": "For turnaround / reform proposals",
          "confidence": 0.8,
          "extraction": {
            "at": "2026-07-16 23:24:51.323102+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 60,
          "whyItWorks": "- It **quantifies the opportunity cost** of inaction. \"Doing nothing\"\n  becomes a concrete, visible path, not an abstraction.\n- It **makes the Answer tangible**. The prescription isn't a paragraph;\n  it's a trajectory the reader can point at.\n- It **pre-empts the status-quo defence**. Management usually argues \"we\n  have a plan\". Your chart shows what their plan looks like vs. yours.\n- It **satisfies both the Architect** (math adds up) **and the Storyteller**\n  (emotional delta between two futures).",
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "52131080-31ce-4ede-8c16-7b6ee28eb48d",
          "evidence": "The slide explicitly structures the argument as 'Before', 'The result', and 'After'.",
          "framework": null,
          "confidence": 1,
          "extraction": {
            "at": "2026-05-02 14:17:19.993+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 60,
          "frameworkName": "before-after-bridge"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 61,
      "type": "analysis",
      "title": "The chart uses a logarithmic scale on the Y-axis to visualize the 300,000x increase in compute.",
      "function": "analyze_data",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 24,
        "componentCount": 3,
        "textChars": 141,
        "nDataPoints": 15,
        "notes": "The chart uses a logarithmic scale on the Y-axis to visualize the 300,000x increase in compute.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:20.186+00",
          "seconds": 2.404,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/61",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-61",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.65,
            "w": 0.5,
            "x": 0.25,
            "y": 0.22
          },
          "kind": "chart",
          "text": "AlexNet to AlphaGo Zero: A 300,000x Increase in Compute",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Scatter plot",
              "slug": "scatter",
              "status": "active",
              "canonId": "019de52d-007d-72ec-8689-c79fb78e21a2",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "scatter",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.186+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "062a2c35-8261-4c57-a042-1792b553cdc1",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.04,
            "w": 0.3,
            "x": 0.35,
            "y": 0.14
          },
          "kind": "title",
          "text": "Doubling period: 3.5 months",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.186+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "b5ebb797-ac40-4985-83d2-d3cb32d967b8",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.6,
            "x": 0.2,
            "y": 0.08
          },
          "kind": "title",
          "text": "Can we put a confident bound on near-term compute progress?",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.186+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "8dfcf7a2-ffb4-40ce-9eb1-a123f6ce4435",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Thesis archetype",
            "slug": "thesis-archetype",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd9e1-4b0b-7428-9b26-f171d1e753fb",
            "version": 1,
            "bodyDocId": null,
            "description": "A canonical investment / activist thesis shape (breakup, fraud, governance).",
            "familyLabel": null,
            "categoryName": null,
            "categorySlug": null
          },
          "agent": null,
          "layer": "slide",
          "agents": null,
          "matchId": "882d0e39-9868-4645-bf4e-3d83b92cda31",
          "evidence": "Doubling period: 3.5 months",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-07-16 23:24:51.444464+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 61,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": "optional",
          "narrativePurpose": null
        }
      ],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 62,
      "type": "appendix",
      "title": "The chart illustrates the exponential growth in compute requirements for AI training, particularly starting around 2017.",
      "function": "analyze_data",
      "rawType": "other",
      "block": null,
      "metadata": {
        "slideType": "other",
        "slideTypeCanon": {
          "name": "Other (fallback)",
          "slug": "other",
          "status": "active",
          "canonId": "019de52d-0af5-71ed-83de-d51ae245fc43",
          "version": 1,
          "description": null
        },
        "function": "analyze_data",
        "functionCanon": {
          "name": "Analyze data",
          "slug": "analyze_data",
          "status": "active",
          "canonId": "019de52d-1590-7413-8c82-cc218cff40b4",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 11,
        "componentCount": 1,
        "textChars": 43,
        "nDataPoints": 18,
        "notes": "The chart illustrates the exponential growth in compute requirements for AI training, particularly starting around 2017.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:20.102+00",
          "seconds": 1.982,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/62",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-62",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.9,
            "w": 0.9,
            "x": 0.05,
            "y": 0.05
          },
          "kind": "chart",
          "text": "Historical AI training compute requirements",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Chart",
              "slug": "chart",
              "status": "active",
              "canonId": "019de52c-f9a0-76ef-adc6-0b859109d1f8",
              "version": 1,
              "description": "Quantitative chart."
            },
            "tool": null,
            "subkind": {
              "name": "Horizontal bar chart",
              "slug": "bar-horizontal",
              "status": "active",
              "canonId": "019de52c-fec4-7221-986b-1cb5f5e84b1f",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bar-horizontal",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.102+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "91093cce-241f-4e13-ba92-51f93ba94d46",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 63,
      "type": "setup",
      "title": "The slide uses a dark blue background with white text, emphasizing the gravity of the topic.",
      "function": "frame_situation",
      "rawType": "thesis_headline",
      "block": null,
      "metadata": {
        "slideType": "thesis_headline",
        "slideTypeCanon": {
          "name": "Thesis headline",
          "slug": "thesis_headline",
          "status": "active",
          "canonId": "019de52d-073a-70cb-b9f6-772a597bb5af",
          "version": 1,
          "description": null
        },
        "function": "frame_situation",
        "functionCanon": {
          "name": "Frame situation",
          "slug": "frame_situation",
          "status": "active",
          "canonId": "019de52d-17bc-718f-8752-05ef2b72d7b3",
          "version": 1,
          "description": null
        },
        "density": "balanced",
        "densityScore": 38,
        "componentCount": 4,
        "textChars": 345,
        "nDataPoints": 0,
        "notes": "The slide uses a dark blue background with white text, emphasizing the gravity of the topic.",
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:20.98+00",
          "seconds": 2.793,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/63",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-63",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.2,
            "w": 0.5,
            "x": 0.25,
            "y": 0.6
          },
          "kind": "list",
          "text": "Machines pursuing goals misspecified by their operator\nMalicious humans subverting deployed systems\nOut-of-control economy that grows without resulting in improvements to human lives",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "List",
              "slug": "list",
              "status": "active",
              "canonId": "019de52c-f94b-779b-a53b-fd4904a5f4d2",
              "version": 1,
              "description": "Bullet or numbered list."
            },
            "tool": null,
            "subkind": {
              "name": "Bullet list",
              "slug": "bullet",
              "status": "active",
              "canonId": "019de52c-fc98-7169-a083-5cab805076ca",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "bullet",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.98+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "99a6989d-b321-4ff7-852e-269ebc9f8811",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.15,
            "w": 0.6,
            "x": 0.2,
            "y": 0.25
          },
          "kind": "title",
          "text": "While highly uncertain, near-term AGI should be taken as a serious possibility.",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Action title",
              "slug": "action-title",
              "status": "active",
              "canonId": "019de52c-fb31-734c-a0f5-a3935b73135d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "action-title",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.98+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "797edca6-eb4b-4d09-85c5-48d8d01724b1",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.5,
            "x": 0.25,
            "y": 0.15
          },
          "kind": "title",
          "text": "THIS TALK'S GOAL IS TO PRESENT EVIDENCE THAT:",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.98+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "ea2049b4-eefe-4e8c-9a28-e1b01db4b2d6",
          "parentComponentId": null
        },
        {
          "bbox": {
            "h": 0.05,
            "w": 0.5,
            "x": 0.25,
            "y": 0.5
          },
          "kind": "title",
          "text": "Means proactively thinking about risks:",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Subtitle",
              "slug": "subtitle",
              "status": "active",
              "canonId": "019de52c-fb09-739d-900c-815b0d9ac526",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "subtitle",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.98+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "fc49618c-904b-4203-b12d-9ad2af634893",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [
        {
          "tool": {
            "name": "Antithesis",
            "slug": "antithesis",
            "status": "active",
            "bestFor": null,
            "canonId": "019dd956-a1f8-7283-8cf4-8e2c4292cc4e",
            "version": 1,
            "bodyDocId": null,
            "description": "Juxtaposing contrasting ideas in parallel structure",
            "familyLabel": null,
            "categoryName": "Loop",
            "categorySlug": "loop"
          },
          "agent": "Storyteller",
          "layer": "slide",
          "agents": [
            "Storyteller"
          ],
          "matchId": "b5af1a32-32c7-4e0c-9cb1-3a7f6478081c",
          "evidence": "list/bullet: Machines pursuing goals misspecified by their operator",
          "pageRefs": null,
          "priority": null,
          "whenToUse": null,
          "confidence": 0.6,
          "extraction": {
            "at": "2026-07-17 03:30:26.434927+00",
            "model": "or:meta-llama/llama-4-scout",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 63,
          "whyItWorks": null,
          "antipattern": null,
          "cardinality": null,
          "narrativePurpose": null
        }
      ],
      "frameworks": [
        {
          "matchId": "9973998f-49ca-4f3a-8ffb-bee2773710ef",
          "evidence": "The slide explicitly states the goal of the talk and the core thesis.",
          "framework": null,
          "confidence": 0.9,
          "extraction": {
            "at": "2026-05-02 14:17:20.98+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "pageNumber": 63,
          "frameworkName": "governing-thought"
        }
      ],
      "arcBeats": [],
      "loops": [],
      "locked": true
    },
    {
      "page": 64,
      "type": "setup",
      "function": "summarize",
      "rawType": "closing_ask",
      "block": null,
      "metadata": {
        "slideType": "closing_ask",
        "slideTypeCanon": {
          "name": "Closing ask",
          "slug": "closing_ask",
          "status": "active",
          "canonId": "019de52d-0aa4-750f-8aa1-8d622dd99f5c",
          "version": 1,
          "description": null
        },
        "function": "summarize",
        "functionCanon": {
          "name": "Summarize",
          "slug": "summarize",
          "status": "active",
          "canonId": "019de52d-1541-704f-b86f-bf7b75056373",
          "version": 1,
          "description": null
        },
        "density": "sparse",
        "densityScore": 1,
        "componentCount": 1,
        "textChars": 9,
        "nDataPoints": 0,
        "notes": null,
        "elementsJson": null,
        "confidence": 1,
        "extraction": {
          "model": "google/gemini-3.1-flash-lite-preview-20260303",
          "runId": null,
          "at": "2026-05-02 14:17:20.051+00",
          "seconds": 1.854,
          "promptVersion": "v2-canon-conditioned"
        }
      },
      "links": {
        "slide": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/64",
        "deck": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
        "deckAnchor": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-64",
        "deckJson": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json"
      },
      "components": [
        {
          "bbox": {
            "h": 0.1,
            "w": 0.2,
            "x": 0.05,
            "y": 0.45
          },
          "kind": "title",
          "text": "Thank You",
          "attrs": null,
          "canon": {
            "kind": {
              "name": "Title",
              "slug": "title",
              "status": "active",
              "canonId": "019de52c-f7dd-76d9-b848-b1f12bd85cf4",
              "version": 1,
              "description": "Slide title or headline."
            },
            "tool": null,
            "subkind": {
              "name": "Headline",
              "slug": "headline",
              "status": "active",
              "canonId": "019de52c-fae1-7463-9a7c-d60668eced0d",
              "version": 1,
              "description": null
            },
            "framework": null
          },
          "subkind": "headline",
          "groupRole": null,
          "confidence": null,
          "extraction": {
            "at": "2026-05-02 14:17:20.051+00",
            "model": "google/gemini-3.1-flash-lite-preview-20260303",
            "runId": null,
            "seconds": null,
            "promptVersion": null
          },
          "componentId": "9da27391-df2e-40c5-83b7-727fd8c0fa50",
          "parentComponentId": null
        }
      ],
      "metrics": [],
      "tools": [],
      "frameworks": [],
      "arcBeats": [],
      "loops": [],
      "locked": true
    }
  ],
  "arcBeats": [],
  "loops": [
    {
      "from": 11,
      "to": 18,
      "label": "Aha Moment",
      "description": "Reinforcement learning actually works"
    },
    {
      "from": 40,
      "to": 49,
      "label": "Cost Of Inaction",
      "description": "The importance of taking AGI seriously"
    }
  ]
}