{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 913,
  "pageSize": 60,
  "pageCount": 5333,
  "rows": [
    {
      "docId": "019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "docSlug": "8757f1b44ef7f176",
      "documentTitle": "2024 Air Street Capital The State of AI Report 2024",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 211,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/211",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-211",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "docSlug": "8757f1b44ef7f176",
      "documentTitle": "2024 Air Street Capital The State of AI Report 2024",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 212,
      "slideType": "filler",
      "function": "other",
      "notes": "Contains screenshots of the Air Street Press website.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/212",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-212",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "docSlug": "8757f1b44ef7f176",
      "documentTitle": "2024 Air Street Capital The State of AI Report 2024",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 213,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/213",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-213",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 1,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": "https://imgproxy.kitesheet.com/I7Rc711CLqsLnHzhSVflnlNrFwvWaDK_GV881DqHSNU/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy81ZGY2YmQxYjA0NDdiNWY2L3AwMDEuanBn",
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/1",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-1",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": "https://imgproxy.kitesheet.com/X0M4HuLG23kzEPQkgQ_d68echJiduUC3I0u5Q2mBVTI/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy81ZGY2YmQxYjA0NDdiNWY2L3AwMDEucG5n",
      "thumbSrc": "https://imgproxy.kitesheet.com/bLPwU4KKUwWZ6UxNCh0LTmMDr6pE7c3INizUSyBLpNs/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy81ZGY2YmQxYjA0NDdiNWY2L3AwMDEuanBn",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/rC2KigZpM3LthYw2GuOEo_Pj4DMMpF71BPF5Vgr7FQY/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy81ZGY2YmQxYjA0NDdiNWY2L3AwMDEucG5n"
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 2,
      "slideType": "filler",
      "function": "other",
      "notes": "This is a promotional slide at the beginning of the deck.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/2",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-2",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 3,
      "slideType": "team_bio",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/3",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-3",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 4,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/4",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-4",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 5,
      "slideType": "executive_summary",
      "function": "establish_context",
      "notes": "The slide serves as a preface/introduction to the report structure.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/5",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-5",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 11,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-aa1cab91c023",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Surface Observation",
          "beatSlug": "onion-surface-observation",
          "evidence": "Agenda, definitions, 2024 scorecard set the visible surface.",
          "position": 1,
          "confidence": 45,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 6,
      "slideType": "other",
      "function": "establish_context",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/6",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-6",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 11,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-aa1cab91c023",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Surface Observation",
          "beatSlug": "onion-surface-observation",
          "evidence": "Agenda, definitions, 2024 scorecard set the visible surface.",
          "position": 1,
          "confidence": 45,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 7,
      "slideType": "appendix",
      "function": "establish_context",
      "notes": "This slide serves as a foundational reference for the technical terminology used throughout the report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/7",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-7",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 11,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-aa1cab91c023",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Surface Observation",
          "beatSlug": "onion-surface-observation",
          "evidence": "Agenda, definitions, 2024 scorecard set the visible surface.",
          "position": 1,
          "confidence": 45,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 8,
      "slideType": "appendix",
      "function": "present_framework",
      "notes": "This slide establishes a visual shorthand (iconography) for the rest of the report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/8",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-8",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 11,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-aa1cab91c023",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Surface Observation",
          "beatSlug": "onion-surface-observation",
          "evidence": "Agenda, definitions, 2024 scorecard set the visible surface.",
          "position": 1,
          "confidence": 45,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 9,
      "slideType": "executive_summary",
      "function": "summarize",
      "notes": "The slide uses a structured list format to categorize key takeaways across four main pillars.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/9",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-9",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 11,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-aa1cab91c023",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Surface Observation",
          "beatSlug": "onion-surface-observation",
          "evidence": "Agenda, definitions, 2024 scorecard set the visible surface.",
          "position": 1,
          "confidence": 45,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 10,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/10",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-10",
      "loopMatches": [
        {
          "to": 11,
          "from": 10,
          "name": "Precedent",
          "slug": "09-precedent",
          "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
          "matchId": "019dd95a-07fe-70ce-8d3e-8d29153fb716",
          "evidence": "Section divider 'Reviewing our predictions from 2024' followed by comparison table grading prior calls.",
          "position": 1,
          "objective": "Score last year's predictions to establish track record",
          "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
          "confidence": 85,
          "description": "Use historical or external examples to validate your approach"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 11,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-aa1cab91c023",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Surface Observation",
          "beatSlug": "onion-surface-observation",
          "evidence": "Agenda, definitions, 2024 scorecard set the visible surface.",
          "position": 1,
          "confidence": 45,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 11,
      "slideType": "data_table",
      "function": "summarize",
      "notes": "The table uses a color-coded status column (Green=YES, Orange=~, Red=NO) to indicate prediction accuracy.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/11",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-11",
      "loopMatches": [
        {
          "to": 11,
          "from": 10,
          "name": "Precedent",
          "slug": "09-precedent",
          "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
          "matchId": "019dd95a-07fe-70ce-8d3e-8d29153fb716",
          "evidence": "Section divider 'Reviewing our predictions from 2024' followed by comparison table grading prior calls.",
          "position": 1,
          "objective": "Score last year's predictions to establish track record",
          "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
          "confidence": 85,
          "description": "Use historical or external examples to validate your approach"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 11,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-aa1cab91c023",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "Surface Observation",
          "beatSlug": "onion-surface-observation",
          "evidence": "Agenda, definitions, 2024 scorecard set the visible surface.",
          "position": 1,
          "confidence": 45,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 12,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/12",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-12",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 13,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide highlights the shift towards inference-time scaling (test-time compute) as a key driver for AI reasoning capabilities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/13",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-13",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 14,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses a line chart to show scaling laws and a bar chart for comparative performance on AIME 2024.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/14",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-14",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 15,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a bar chart comparing model performance and a line chart showing AIME accuracy improvement during training.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/15",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-15",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 16,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The slide highlights the architectural shift to DeepSeek Sparse Attention (DSA) in V3.2-Exp to reduce cost and latency.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/16",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-16",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 17,
      "slideType": "industry_trends",
      "function": "present_solution",
      "notes": "Discusses technical advancements in LLM inference strategies.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/17",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-17",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 18,
      "slideType": "timeline",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/18",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-18",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 19,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "Slide compares longitudinal performance trends (left) with a static ranking of current models (right).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/19",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-19",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 20,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "The chart shows 'Reported vs Measured Results' and 'Variance DS-R1-1.5B' to demonstrate that performance swings are often due to variance rather than actual model improvement.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/20",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-20",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        },
        {
          "to": 23,
          "from": 20,
          "name": "Myth Buster",
          "slug": "12-myth-buster",
          "bestFor": "Rebranding, changing market perception, correcting false assumptions",
          "matchId": "019dd95a-07fe-70ce-8d3e-94ced6245fc4",
          "evidence": "'The illusion of reasoning gains' (p.20), 'How reasoning breaks' (pp.22-23) directly challenge consensus.",
          "position": 3,
          "objective": "Bust the 'reasoning gains are real' belief",
          "structure": "The Common Belief -> The Friction/Failure of that Belief -> The New Truth",
          "confidence": 80,
          "description": "Address a common misconception head-on to clear the room for a new truth"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 21,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The slide presents a debate regarding the performance of reasoning models (LRMs) versus standard LLMs across different complexity levels.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/21",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-21",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        },
        {
          "to": 23,
          "from": 20,
          "name": "Myth Buster",
          "slug": "12-myth-buster",
          "bestFor": "Rebranding, changing market perception, correcting false assumptions",
          "matchId": "019dd95a-07fe-70ce-8d3e-94ced6245fc4",
          "evidence": "'The illusion of reasoning gains' (p.20), 'How reasoning breaks' (pp.22-23) directly challenge consensus.",
          "position": 3,
          "objective": "Bust the 'reasoning gains are real' belief",
          "structure": "The Common Belief -> The Friction/Failure of that Belief -> The New Truth",
          "confidence": 80,
          "description": "Address a common misconception head-on to clear the room for a new truth"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 22,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "The slide uses a specific example of a math problem to demonstrate the impact of 'adversarial triggers' on model reasoning.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/22",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-22",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        },
        {
          "to": 23,
          "from": 20,
          "name": "Myth Buster",
          "slug": "12-myth-buster",
          "bestFor": "Rebranding, changing market perception, correcting false assumptions",
          "matchId": "019dd95a-07fe-70ce-8d3e-94ced6245fc4",
          "evidence": "'The illusion of reasoning gains' (p.20), 'How reasoning breaks' (pp.22-23) directly challenge consensus.",
          "position": 3,
          "objective": "Bust the 'reasoning gains are real' belief",
          "structure": "The Common Belief -> The Friction/Failure of that Belief -> The New Truth",
          "confidence": 80,
          "description": "Address a common misconception head-on to clear the room for a new truth"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 23,
      "slideType": "key_takeaways",
      "function": "summarize",
      "notes": "The slide highlights three specific research papers/projects: GSM-Symbolic, DataAlchemy, and XReasoning.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/23",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-23",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        },
        {
          "to": 23,
          "from": 20,
          "name": "Myth Buster",
          "slug": "12-myth-buster",
          "bestFor": "Rebranding, changing market perception, correcting false assumptions",
          "matchId": "019dd95a-07fe-70ce-8d3e-94ced6245fc4",
          "evidence": "'The illusion of reasoning gains' (p.20), 'How reasoning breaks' (pp.22-23) directly challenge consensus.",
          "position": 3,
          "objective": "Bust the 'reasoning gains are real' belief",
          "structure": "The Common Belief -> The Friction/Failure of that Belief -> The New Truth",
          "confidence": 80,
          "description": "Address a common misconception head-on to clear the room for a new truth"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 24,
      "slideType": "key_takeaways",
      "function": "summarize",
      "notes": "The slide highlights that CoT utility stems from structural encoding of reasoning rather than literal faithfulness.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/24",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-24",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 25,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "References a specific research finding regarding model activations and test awareness.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/25",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-25",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 26,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The slide contrasts the effectiveness of safety-first pretraining (SafeLM) with the broader skepticism regarding the persistence of biases in web-scale models.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/26",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-26",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 27,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "Discusses the trade-off between CoT monitoring effectiveness and the emergence of obfuscated reward hacking in AI models.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/27",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-27",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 28,
      "slideType": "key_messages",
      "function": "summarize",
      "notes": "Includes a diagram illustrating the difference between chain of thought and opaque computation.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/28",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-28",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 29,
      "slideType": "industry_trends",
      "function": "present_framework",
      "notes": "The slide compares traditional Chain-of-Thought (CoT) with the proposed Chain of Continuous Thought (COCONUT) method.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/29",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-29",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 30,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide features two distinct charts illustrating performance gains from specific data/training methodologies.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/30",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-30",
      "loopMatches": [
        {
          "to": 30,
          "from": 13,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9252f6f92bd7",
          "evidence": "Big picture 'reasoning race' (p.13) zooms into o1, R1, DeepSeek, parallel reasoning, CoT mechanics.",
          "position": 2,
          "objective": "Drill from reasoning paradigm into specific reasoning research findings",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 31,
      "slideType": "industry_trends",
      "function": "present_framework",
      "notes": "The slide uses a chronological/evolutionary progression of AI training methods.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/31",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-31",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 32,
      "slideType": "problem_statement",
      "function": "frame_problem",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/32",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-32",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 33,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide discusses the debate on whether RLVR creates new reasoning or just reshuffles sampling, citing specific research from Tsinghua and MSR Asia.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/33",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-33",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 34,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide highlights the shift toward verifiable AI reasoning in mathematics.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/34",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-34",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 35,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows that LoRA ranks 1, 16, and 256 perform similarly to full fine-tuning in terms of peak accuracy, but with different stability profiles.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/35",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-35",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 36,
      "slideType": "industry_trends",
      "function": "present_solution",
      "notes": "The chart shows Bits per Byte performance across different model sizes and training methods (Base, Context, Fine-Tuning).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/36",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-36",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 37,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide discusses a technical breakthrough in AI model merging (Subspace Boosting) to prevent redundancy.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/37",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-37",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 38,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows a Pareto frontier comparison between Muon and AdamW, illustrating better compute-time efficiency for Muon.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/38",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-38",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 39,
      "slideType": "industry_trends",
      "function": "present_solution",
      "notes": "The slide compares memory usage of standard cross-entropy vs. CCE across various LLM models.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/39",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-39",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 40,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide references a specific research finding regarding a ~3.6 bits per parameter capacity limit for LLMs.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/40",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-40",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 41,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a Venn diagram illustrating machine-unique knowledge.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/41",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-41",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 42,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide features 8 small bar charts comparing Kimi K2 against competitors like DeepSeek, OpenAI, and Anthropic models.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/42",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-42",
      "loopMatches": [
        {
          "to": 47,
          "from": 42,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0",
          "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).",
          "position": 4,
          "objective": "Show China's open-weight ecosystem overtaking Meta-led West",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 80,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 43,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses a step chart to show historical progress and a bar chart to show current rankings.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/43",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-43",
      "loopMatches": [
        {
          "to": 47,
          "from": 42,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0",
          "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).",
          "position": 4,
          "objective": "Show China's open-weight ecosystem overtaking Meta-led West",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 80,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 44,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a screenshot of a Reddit thread, a product announcement graphic, and a GitHub star history chart.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/44",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-44",
      "loopMatches": [
        {
          "to": 47,
          "from": 42,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0",
          "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).",
          "position": 4,
          "objective": "Show China's open-weight ecosystem overtaking Meta-led West",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 80,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 45,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses three distinct charts to illustrate the shift in AI model leadership from the US to China.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/45",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-45",
      "loopMatches": [
        {
          "to": 47,
          "from": 42,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0",
          "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).",
          "position": 4,
          "objective": "Show China's open-weight ecosystem overtaking Meta-led West",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 80,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 46,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide highlights 'The Flip' in model popularity, showing Qwen's rise in cumulative downloads and derivative model creation.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/46",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-46",
      "loopMatches": [
        {
          "to": 47,
          "from": 42,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0",
          "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).",
          "position": 4,
          "objective": "Show China's open-weight ecosystem overtaking Meta-led West",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 80,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 47,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide highlights two specific technical stacks: ByteDance's verl and OpenRLHF.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/47",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-47",
      "loopMatches": [
        {
          "to": 47,
          "from": 42,
          "name": "David Goliath",
          "slug": "16-david-goliath",
          "bestFor": "Startups, disruptive innovation, competitive displacement",
          "matchId": "019dd95a-07fe-70ce-8d3e-98bdad14c2b0",
          "evidence": "'New Silk Road: China's open models overtake Meta-led West' (p.45); Qwen >40% derivatives vs Llama's 15% (p.46).",
          "position": 4,
          "objective": "Show China's open-weight ecosystem overtaking Meta-led West",
          "structure": "The Giant's Weakness -> Our Slingshot (Unique Edge) -> The Topple",
          "confidence": 80,
          "description": "Frame your initiative as the nimble underdog taking on a slow, bloated incumbent"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 48,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide contains a placeholder box for a video or image. The content highlights the technical evolution from static clip generation to interactive, closed-loop world modeling.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/48",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-48",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 49,
      "slideType": "timeline",
      "function": "summarize",
      "notes": "The slide uses a timeline structure to show the progression of a specific technology over time.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/49",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-49",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 50,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights the 'shortcut forcing' technique and compares Dreamer 4 against VPT, BC, and VLA models across various Minecraft tasks.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/50",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-50",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 51,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes a radar chart comparing model performance across various attributes.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/51",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-51",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 52,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a visual example of the model's output.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/52",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-52",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 53,
      "slideType": "industry_trends",
      "function": "present_solution",
      "notes": "The slide highlights three specific research approaches to open-ended learning in AI.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/53",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-53",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 54,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide highlights the current state of AI research agent evaluation, noting that while benchmarks exist, performance remains limited.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/54",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-54",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 55,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights the shift from AI as a passive tool to an active collaborator in scientific research.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/55",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-55",
      "loopMatches": [
        {
          "to": 67,
          "from": 55,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9d32ca243ef1",
          "evidence": "Sequence of case studies: AlphaEvolve, UMA, MatterGen, AMIE, AlphaFold reproductions all illustrate AI-as-scientist.",
          "position": 5,
          "objective": "Survey AI's rise as scientific collaborator across biology/chemistry/medicine",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 56,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights a specific AI research breakthrough and its practical application at Google.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/56",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-56",
      "loopMatches": [
        {
          "to": 67,
          "from": 55,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9d32ca243ef1",
          "evidence": "Sequence of case studies: AlphaEvolve, UMA, MatterGen, AMIE, AlphaFold reproductions all illustrate AI-as-scientist.",
          "position": 5,
          "objective": "Survey AI's rise as scientific collaborator across biology/chemistry/medicine",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "docSlug": "5df6bd1b0447b5f6",
      "documentTitle": "2025 Air Street Capital The State of AI Report 2025",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 57,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide describes a specific AI model (ATOMICA) and its application in drug discovery/biology.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0d0f98caffe1/57",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0d0f98caffe1#slide-57",
      "loopMatches": [
        {
          "to": 67,
          "from": 55,
          "name": "Zoom In",
          "slug": "06-zoom-in",
          "bestFor": "Technical deep-dives, case studies, detailed analysis",
          "matchId": "019dd95a-07fe-70ce-8d3e-9d32ca243ef1",
          "evidence": "Sequence of case studies: AlphaEvolve, UMA, MatterGen, AMIE, AlphaFold reproductions all illustrate AI-as-scientist.",
          "position": 5,
          "objective": "Survey AI's rise as scientific collaborator across biology/chemistry/medicine",
          "structure": "The Big Picture -> Key Area of Focus -> Specific Detail -> Implication",
          "confidence": 75,
          "description": "Start broad, then progressively focus on specific details that prove your point"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 189,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-9f380673831f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Sections 1-2 lay out research findings and industry data with charts and case studies.",
          "position": 1,
          "confidence": 70,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 89,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-ac68557d958b",
          "arcName": "The Onion",
          "arcSlug": "onion",
          "beatName": "First Layer",
          "beatSlug": "onion-first-layer",
          "evidence": "Research section unpacks technical layer beneath the headlines.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}