{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 909,
  "pageSize": 60,
  "pageCount": 5333,
  "rows": [
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 134,
      "slideType": "situation_overview",
      "function": "establish_context",
      "notes": "Part of the 'State of AI 2023' report, slide 134.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/134",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-134",
      "loopMatches": [
        {
          "to": 137,
          "from": 128,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-12b34e44efca",
          "evidence": "Chip wars, Huawei, government compute, defense funding, Ukraine, elections, culture wars, jobs.",
          "position": 13,
          "objective": "Sketch the geopolitical contest over chips, defense and elections",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 65,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 135,
      "slideType": "situation_overview",
      "function": "establish_context",
      "notes": "Includes a screenshot of a Politico article titled 'Inside the AI culture war'.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/135",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-135",
      "loopMatches": [
        {
          "to": 137,
          "from": 128,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-12b34e44efca",
          "evidence": "Chip wars, Huawei, government compute, defense funding, Ukraine, elections, culture wars, jobs.",
          "position": 13,
          "objective": "Sketch the geopolitical contest over chips, defense and elections",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 65,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 136,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Slide from State of AI 2023 report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/136",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-136",
      "loopMatches": [
        {
          "to": 137,
          "from": 128,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-12b34e44efca",
          "evidence": "Chip wars, Huawei, government compute, defense funding, Ukraine, elections, culture wars, jobs.",
          "position": 13,
          "objective": "Sketch the geopolitical contest over chips, defense and elections",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 65,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 137,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The table shows exposure levels of various occupations to AI models compared to human assessments.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/137",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-137",
      "loopMatches": [
        {
          "to": 137,
          "from": 128,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-12b34e44efca",
          "evidence": "Chip wars, Huawei, government compute, defense funding, Ukraine, elections, culture wars, jobs.",
          "position": 13,
          "objective": "Sketch the geopolitical contest over chips, defense and elections",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 65,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 138,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/138",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-138",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 139,
      "slideType": "other",
      "function": "present_framework",
      "notes": "The slide presents a framework for categorizing AI risks as proposed by Dan Hendrycks (Center for AI Safety).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/139",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-139",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 140,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "The slide uses a collage of screenshots from various media outlets and public statements to illustrate the 'mainstream' nature of the AI x-risk debate.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/140",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-140",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 141,
      "slideType": "key_messages",
      "function": "summarize",
      "notes": "Part of the 'State of AI' report series.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/141",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-141",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 142,
      "slideType": "key_messages",
      "function": "summarize",
      "notes": "Slide from the State of AI 2023 report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/142",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-142",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 143,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "The slide highlights the shift of AI safety from a niche technical debate to a mainstream political and national security priority.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/143",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-143",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 144,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows a positive correlation between safety and ethics research output, with some institutions heavily skewed towards one or the other.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/144",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-144",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 145,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide highlights specific industry responses to AI safety concerns, featuring diagrams of Anthropic's ASL framework and a general model evaluation lifecycle.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/145",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-145",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 146,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Part of the State of AI 2023 report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/146",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-146",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 147,
      "slideType": "problem_statement",
      "function": "diagnose",
      "notes": "The slide uses a specific case study (Sydney/Bing) to illustrate broader safety concerns like jailbreaking and prompt injection.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/147",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-147",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 148,
      "slideType": "key_takeaways",
      "function": "summarize",
      "notes": "The slide highlights three specific research findings regarding AI safety vulnerabilities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/148",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-148",
      "loopMatches": [
        {
          "to": 148,
          "from": 139,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-17c0a044d464",
          "evidence": "Hendrycks taxonomy, x-risk explosion, sceptics, govt attention, jailbreak evidence accumulate.",
          "position": 14,
          "objective": "Frame the safety debate, both x-risk and demonstrated unsafe behaviour",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 149,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "The slide categorizes challenges into three pillars based on RLHF components, referencing specific sections (§3.1, §3.2, §3.3) of a research paper.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/149",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-149",
      "loopMatches": [
        {
          "to": 155,
          "from": 149,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-1a62463741ad",
          "evidence": "RLHF survey, conditional pretraining, Constitutional AI, scalable supervision, process eval, interpretability, benchmark drift.",
          "position": 15,
          "objective": "Show alignment research progress on RLHF problems",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 150,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The chart shows a comparison between conventional pretraining and conditional pretraining (pretraining with feedback) in terms of toxicity reduction.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/150",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-150",
      "loopMatches": [
        {
          "to": 155,
          "from": 149,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-1a62463741ad",
          "evidence": "RLHF survey, conditional pretraining, Constitutional AI, scalable supervision, process eval, interpretability, benchmark drift.",
          "position": 15,
          "objective": "Show alignment research progress on RLHF problems",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 151,
      "slideType": "industry_trends",
      "function": "present_framework",
      "notes": "Includes a process diagram for the 'Self-Align' technique.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/151",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-151",
      "loopMatches": [
        {
          "to": 155,
          "from": 149,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-1a62463741ad",
          "evidence": "RLHF survey, conditional pretraining, Constitutional AI, scalable supervision, process eval, interpretability, benchmark drift.",
          "position": 15,
          "objective": "Show alignment research progress on RLHF problems",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 152,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "The slide uses a complexity-theory-inspired notation (NP^NP) to illustrate the recursive difficulty of evaluating AI assistants.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/152",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-152",
      "loopMatches": [
        {
          "to": 155,
          "from": 149,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-1a62463741ad",
          "evidence": "RLHF survey, conditional pretraining, Constitutional AI, scalable supervision, process eval, interpretability, benchmark drift.",
          "position": 15,
          "objective": "Show alignment research progress on RLHF problems",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 153,
      "slideType": "industry_trends",
      "function": "present_framework",
      "notes": "Discusses 'Let's Verify Step by Step' (OpenAI) and 'Contrast-Consistent Search' (UC Berkeley/Peking University).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/153",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-153",
      "loopMatches": [
        {
          "to": 155,
          "from": 149,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-1a62463741ad",
          "evidence": "RLHF survey, conditional pretraining, Constitutional AI, scalable supervision, process eval, interpretability, benchmark drift.",
          "position": 15,
          "objective": "Show alignment research progress on RLHF problems",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 154,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The chart shows a negative correlation between subject model parameters and explanation score.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/154",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-154",
      "loopMatches": [
        {
          "to": 155,
          "from": 149,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-1a62463741ad",
          "evidence": "RLHF survey, conditional pretraining, Constitutional AI, scalable supervision, process eval, interpretability, benchmark drift.",
          "position": 15,
          "objective": "Show alignment research progress on RLHF problems",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 155,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows win rates across various models, comparing human evaluation against GPT-4 and GPT-3.5 as judges.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/155",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-155",
      "loopMatches": [
        {
          "to": 155,
          "from": 149,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-1a62463741ad",
          "evidence": "RLHF survey, conditional pretraining, Constitutional AI, scalable supervision, process eval, interpretability, benchmark drift.",
          "position": 15,
          "objective": "Show alignment research progress on RLHF problems",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 70,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-478c8c58938c",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Implications (So What)",
          "beatSlug": "triple-take-the-implications-so-what",
          "evidence": "Politics + Safety sections explore regulatory, geopolitical and risk implications.",
          "position": 2,
          "confidence": 78,
          "parentBeatName": "Reflection",
          "parentBeatSlug": "reflection"
        },
        {
          "to": 155,
          "from": 121,
          "beatId": "019dd95a-0682-776c-8e35-554ec1797b3a",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Climax",
          "beatSlug": "mountain-climax",
          "evidence": "Regulatory divergence and the x-risk debate erupt into the mainstream.",
          "position": 3,
          "confidence": 45,
          "parentBeatName": "Turn",
          "parentBeatSlug": "turn"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 156,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/156",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-156",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 158,
          "from": 156,
          "beatId": "019dd95a-0682-776c-8e35-49f733b32656",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Section 5 closes with 10 forward-looking predictions and a CTA.",
          "position": 3,
          "confidence": 78,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 158,
          "from": 156,
          "beatId": "019dd95a-0682-776c-8e35-5bcfcc37ff47",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "10 predictions resolve where this all heads next.",
          "position": 4,
          "confidence": 45,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 157,
      "slideType": "initiative_list",
      "function": "summarize",
      "notes": "Part of the State of AI 2023 report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/157",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-157",
      "loopMatches": [
        {
          "to": 158,
          "from": 157,
          "name": "Scenario Fork",
          "slug": "35-scenario-fork",
          "bestFor": "Strategic planning, risk analysis, board presentations",
          "matchId": "019dd95a-07fe-70ce-8d3e-1f845f916710",
          "evidence": "Page 157 lists 10 discrete prediction scenarios as the deck's payoff.",
          "position": 16,
          "objective": "Resolve the deck with concrete predicted scenarios for next 12 months",
          "structure": "The Decision Point -> Scenario A (If X) -> Scenario B (If Y) -> Scenario C (If Z) -> Recommendation",
          "confidence": 70,
          "description": "Present multiple futures based on different assumptions or decisions"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 158,
          "from": 156,
          "beatId": "019dd95a-0682-776c-8e35-49f733b32656",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Section 5 closes with 10 forward-looking predictions and a CTA.",
          "position": 3,
          "confidence": 78,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 158,
          "from": 156,
          "beatId": "019dd95a-0682-776c-8e35-5bcfcc37ff47",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "10 predictions resolve where this all heads next.",
          "position": 4,
          "confidence": 45,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 158,
      "slideType": "closing_ask",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/158",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-158",
      "loopMatches": [
        {
          "to": 158,
          "from": 157,
          "name": "Scenario Fork",
          "slug": "35-scenario-fork",
          "bestFor": "Strategic planning, risk analysis, board presentations",
          "matchId": "019dd95a-07fe-70ce-8d3e-1f845f916710",
          "evidence": "Page 157 lists 10 discrete prediction scenarios as the deck's payoff.",
          "position": 16,
          "objective": "Resolve the deck with concrete predicted scenarios for next 12 months",
          "structure": "The Decision Point -> Scenario A (If X) -> Scenario B (If Y) -> Scenario C (If Z) -> Recommendation",
          "confidence": 70,
          "description": "Present multiple futures based on different assumptions or decisions"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 158,
          "from": 156,
          "beatId": "019dd95a-0682-776c-8e35-49f733b32656",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Action (Now What)",
          "beatSlug": "triple-take-the-action-now-what",
          "evidence": "Section 5 closes with 10 forward-looking predictions and a CTA.",
          "position": 3,
          "confidence": 78,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        },
        {
          "to": 158,
          "from": 156,
          "beatId": "019dd95a-0682-776c-8e35-5bcfcc37ff47",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Resolution",
          "beatSlug": "mountain-resolution",
          "evidence": "10 predictions resolve where this all heads next.",
          "position": 4,
          "confidence": 45,
          "parentBeatName": "Resolution",
          "parentBeatSlug": "resolution"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 159,
      "slideType": "appendix",
      "function": "appendix",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/159",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-159",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 160,
      "slideType": "appendix_disclosure",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/160",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-160",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 161,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/161",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-161",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 162,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/162",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-162",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
      "docSlug": "dd91c78f6570bf29",
      "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
      "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": 163,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/163",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-163",
      "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": 1,
      "slideType": "cover",
      "function": "front_matter",
      "notes": null,
      "imagePath": "https://imgproxy.kitesheet.com/uMIz4YLxh2gGSJ3tC_gfzZpP47EDdTQIAKVQDg05XFw/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy84NzU3ZjFiNDRlZjdmMTc2L3AwMDEuanBn",
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/1",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-1",
      "loopMatches": [],
      "arcBeatMatches": [],
      "imagePathAlt": "https://imgproxy.kitesheet.com/RJW7T5yZC9gSTj03FzbPRaYkjfFQXbq74EPorKRZh58/rs:fit:1200:1200:0/q:82/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy84NzU3ZjFiNDRlZjdmMTc2L3AwMDEucG5n",
      "thumbSrc": "https://imgproxy.kitesheet.com/BoRaNeFKft3beTiOZODAdrFfQRoKGkozdRmvQcnd1vA/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy84NzU3ZjFiNDRlZjdmMTc2L3AwMDEuanBn",
      "thumbSrcAlt": "https://imgproxy.kitesheet.com/TsMF1g24BMgoAExHTjJcIx5WsF3oJwSN7vWQhqYfLu4/rs:fit:480:480:0/q:78/f:webp/czM6Ly9raXRlc2hlZXQvY29ycHVzL3NsaWRlcy84NzU3ZjFiNDRlZjdmMTc2L3AwMDEucG5n"
    },
    {
      "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": 2,
      "slideType": "other",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/2",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-2",
      "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": 3,
      "slideType": "team_bio",
      "function": "front_matter",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/3",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-3",
      "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": 4,
      "slideType": "team_bio",
      "function": "other",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/4",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-4",
      "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": 5,
      "slideType": "executive_summary",
      "function": "summarize",
      "notes": "The slide serves as an introductory overview for the report structure.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/5",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-5",
      "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": 6,
      "slideType": "other",
      "function": "establish_context",
      "notes": "This slide serves as a foundational glossary for the report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/6",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-6",
      "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": 7,
      "slideType": "other",
      "function": "establish_context",
      "notes": "This slide serves as a foundational reference for the rest of the deck.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/7",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-7",
      "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": 8,
      "slideType": "appendix",
      "function": "establish_context",
      "notes": "This slide acts as a key for interpreting subsequent slides in the deck.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/8",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-8",
      "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": 9,
      "slideType": "executive_summary",
      "function": "summarize",
      "notes": "The slide uses a structured list format to categorize key takeaways across four main pillars of the AI landscape.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/9",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-9",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 11,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-693dbf7b0a49",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Familiar World",
          "beatSlug": "voyage-return-the-familiar-world",
          "evidence": "Exec summary + 2023 prediction scorecard",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "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": 10,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/10",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-10",
      "loopMatches": [
        {
          "to": 11,
          "from": 10,
          "name": "Hypothesis Test",
          "slug": "42-hypothesis-test",
          "bestFor": "Strategy validation, due diligence, research presentations",
          "matchId": "019dd95a-07fe-70ce-8d3e-20ad56ed5118",
          "evidence": "Slide 11 lists 9 predictions with YES/NO/PARTIAL ratings + evidence column",
          "position": 1,
          "objective": "Score last year's predictions against evidence",
          "structure": "The Hypothesis -> Test 1 (Supports/Refutes) -> Test 2 (Supports/Refutes) -> Conclusion (Validated/Pivoted)",
          "confidence": 92,
          "description": "State a hypothesis upfront, then systematically prove or disprove it with evidence"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 11,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-693dbf7b0a49",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Familiar World",
          "beatSlug": "voyage-return-the-familiar-world",
          "evidence": "Exec summary + 2023 prediction scorecard",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "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": 11,
      "slideType": "data_table",
      "function": "summarize",
      "notes": "The slide uses a traffic-light color coding system (Green=YES, Amber=~, Red=NO) to evaluate predictions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/11",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-11",
      "loopMatches": [
        {
          "to": 11,
          "from": 10,
          "name": "Hypothesis Test",
          "slug": "42-hypothesis-test",
          "bestFor": "Strategy validation, due diligence, research presentations",
          "matchId": "019dd95a-07fe-70ce-8d3e-20ad56ed5118",
          "evidence": "Slide 11 lists 9 predictions with YES/NO/PARTIAL ratings + evidence column",
          "position": 1,
          "objective": "Score last year's predictions against evidence",
          "structure": "The Hypothesis -> Test 1 (Supports/Refutes) -> Test 2 (Supports/Refutes) -> Conclusion (Validated/Pivoted)",
          "confidence": 92,
          "description": "State a hypothesis upfront, then systematically prove or disprove it with evidence"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 11,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-693dbf7b0a49",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Familiar World",
          "beatSlug": "voyage-return-the-familiar-world",
          "evidence": "Exec summary + 2023 prediction scorecard",
          "position": 1,
          "confidence": 55,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        }
      ],
      "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": 12,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/12",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-12",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 13,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide highlights the convergence of performance between GPT-4, Claude 3.5 Sonnet, Gemini 1.5, and Grok 2.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/13",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-13",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-27658cc21e8b",
          "evidence": "Series of analyze_data slides on GPT-4, o1, Claude 3.5, Llama 3, openness, contamination, leaderboards",
          "position": 2,
          "objective": "Show frontier model gap is closing through multiple data points",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 14,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide discusses the shift from pre-training compute to inference compute in LLMs.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/14",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-14",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-27658cc21e8b",
          "evidence": "Series of analyze_data slides on GPT-4, o1, Claude 3.5, Llama 3, openness, contamination, leaderboards",
          "position": 2,
          "objective": "Show frontier model gap is closing through multiple data points",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 15,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a Chatbot Arena chart and a screenshot of a viral YouTube video demonstrating o1's coding capabilities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/15",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-15",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-27658cc21e8b",
          "evidence": "Series of analyze_data slides on GPT-4, o1, Claude 3.5, Llama 3, openness, contamination, leaderboards",
          "position": 2,
          "objective": "Show frontier model gap is closing through multiple data points",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 16,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes a stacked bar chart showing human evaluation win/tie/loss rates against GPT-4o and Claude 3.5 Sonnet.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/16",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-16",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-27658cc21e8b",
          "evidence": "Series of analyze_data slides on GPT-4, o1, Claude 3.5, Llama 3, openness, contamination, leaderboards",
          "position": 2,
          "objective": "Show frontier model gap is closing through multiple data points",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 17,
      "slideType": "comparison_table",
      "function": "compare_options",
      "notes": "The table uses a color-coded matrix (green for yes, orange for no/partial) to visualize the degree of openness for different LLM projects.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/17",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-17",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-27658cc21e8b",
          "evidence": "Series of analyze_data slides on GPT-4, o1, Claude 3.5, Llama 3, openness, contamination, leaderboards",
          "position": 2,
          "objective": "Show frontier model gap is closing through multiple data points",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 18,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The slide uses two charts to demonstrate the impact of contamination: a bar chart showing performance gaps between standard benchmarks and clean test sets, and a scatter plot comparing exam scores to benchmark performance.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/18",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-18",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-27658cc21e8b",
          "evidence": "Series of analyze_data slides on GPT-4, o1, Claude 3.5, Llama 3, openness, contamination, leaderboards",
          "position": 2,
          "objective": "Show frontier model gap is closing through multiple data points",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 19,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "Includes a small visual grid of examples showing 'Bad Question Clarity', 'Bad Options Clarity', 'No Correct Answer', and 'Wrong Groundtruth'.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/19",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-19",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-27658cc21e8b",
          "evidence": "Series of analyze_data slides on GPT-4, o1, Claude 3.5, Llama 3, openness, contamination, leaderboards",
          "position": 2,
          "objective": "Show frontier model gap is closing through multiple data points",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 20,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide critiques the 'vibes-based' evaluation method of the LMSYS leaderboard, noting that GPT-4o and GPT-4o mini share top spots, potentially due to user preference for writing style over raw capability.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/20",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-20",
      "loopMatches": [
        {
          "to": 20,
          "from": 13,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-27658cc21e8b",
          "evidence": "Series of analyze_data slides on GPT-4, o1, Claude 3.5, Llama 3, openness, contamination, leaderboards",
          "position": 2,
          "objective": "Show frontier model gap is closing through multiple data points",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 21,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights the hybrid approach of neuro-symbolic AI in solving Olympiad-level math problems.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/21",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-21",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 22,
      "slideType": "key_takeaways",
      "function": "summarize",
      "notes": "Discusses model pruning techniques (layer removal, knowledge distillation) and their impact on performance benchmarks.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/22",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-22",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 23,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide uses an AI-generated image of two llamas wearing sunglasses labeled '8B' and '4B' to metaphorically represent model distillation.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/23",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-23",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 24,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes a screenshot of a chat interface demonstrating Phi-3-mini-4k-instruct-q4 capabilities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/24",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-24",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 25,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes a visual comparison of image compression levels (32 tokens vs 256 tokens vs 65536 pixels).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/25",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-25",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 26,
      "slideType": "industry_trends",
      "function": "present_solution",
      "notes": "Mentions Stanford research on ReFT and LoReFT.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/26",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-26",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 27,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide highlights specific models like Mamba, Jamba, and Griffin as examples of this trend.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/27",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-27",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 28,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide discusses model distillation techniques in AI research, specifically comparing token budget vs. accuracy.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/28",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-28",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 29,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows a clear trend of Transformer dominance growing over time, with other paradigms remaining a small minority.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/29",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-29",
      "loopMatches": [
        {
          "to": 29,
          "from": 21,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2b2229583eee",
          "evidence": "Eight slides on shrinking models, on-device, hybrids, transformers reigning",
          "position": 3,
          "objective": "Demonstrate efficiency frontier across distillation, quantization, hybrids",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 75,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "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": 30,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide includes a process diagram for Nemotron-4-340B and a feature comparison table for various AI infrastructure providers.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-0856e1444fb9/30",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-0856e1444fb9#slide-30",
      "loopMatches": [
        {
          "to": 37,
          "from": 30,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-2e9bfb3e3bea",
          "evidence": "Synthetic data, FineWeb, embeddings, RAG, power grid, JEST data curation",
          "position": 4,
          "objective": "Survey data, retrieval and training-infra advances",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 72,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 153,
          "from": 9,
          "beatId": "019dd95a-0682-776c-8e35-5f2398b8d1d0",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Exec summary + Research + Industry sections inventory the year",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 85,
          "from": 12,
          "beatId": "019dd95a-0682-776c-8e35-6d9d8ee06d0a",
          "arcName": "Voyage and Return",
          "arcSlug": "voyage-return",
          "beatName": "The Unknown",
          "beatSlug": "voyage-return-the-unknown",
          "evidence": "Research section explores frontier model uncharted territory",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Complication",
          "parentBeatSlug": "complication"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}