{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 908,
  "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": 74,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The chart highlights significant growth in large-scale clusters, specifically mentioning Tesla, Stability, and Hugging Face.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/74",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-74",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 75,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The chart categorizes entities by National HPC, Private Cloud, and Public Cloud.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/75",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-75",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 76,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The chart uses a logarithmic scale on the y-axis to visualize the massive disparity in citation counts.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/76",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-76",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 77,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart tracks usage volume of various NVIDIA GPU models over time (2018-2023).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/77",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-77",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 78,
      "slideType": "industry_trends",
      "function": "compare_peers",
      "notes": "The chart tracks the number of mentions or usage metrics for AI chip companies among researchers.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/78",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-78",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 79,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide also includes a rumor about NVIDIA's H100 shipment projections for 2024.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/79",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-79",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 80,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The chart uses a 'Units of A100 GPUs' scale to normalize compute power over time.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/80",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-80",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 81,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses two line charts to illustrate the drivers for in-house hardware development: increasing model complexity/size and the surge in GPU server demand.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/81",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-81",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 82,
      "slideType": "industry_trends",
      "function": "establish_context",
      "notes": "The chart illustrates the 'Current Export Restrictions' as a threshold boundary on a 2D plane of Computational Performance vs Interconnect Bandwidth.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/82",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-82",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 83,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Part of the State of AI 2023 report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/83",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-83",
      "loopMatches": [
        {
          "to": 83,
          "from": 70,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-ff781be07723",
          "evidence": "Earnings, GPU clusters, A100/H100 indices, 19x research-paper share, 5-year LTV, hyperscaler capex all point one way.",
          "position": 8,
          "objective": "Establish NVIDIA's chokehold on AI compute via converging evidence",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 85,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 84,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide validates a previous prediction using specific company performance metrics.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/84",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-84",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 85,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights the transition of Synthesia from a 'fringe' technology to mainstream enterprise adoption.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/85",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-85",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 86,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart uses a log-log scale to visualize exponential growth rates over time.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/86",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-86",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 87,
      "slideType": "business_case",
      "function": "summarize",
      "notes": "The slide uses two news article headlines as evidence for the dual narrative of revenue growth vs. high costs.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/87",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-87",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 88,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a stock performance chart, strategic rationale for AI integration, and UI screenshots of the new AI-powered product.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/88",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-88",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 89,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses two charts to illustrate the displacement of traditional developer Q&A platforms by AI-driven coding assistants.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/89",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-89",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 90,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a chart comparing Stack Overflow vs GitHub web traffic and a small chart showing CoPilot acceptance rate over time.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/90",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-90",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 91,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide presents two charts (A and B) showing the treatment effect of ChatGPT on time taken and output quality compared to a control group.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/91",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-91",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 92,
      "slideType": "industry_trends",
      "function": "illustrate_case",
      "notes": "Includes screenshots of Character.AI and news headlines regarding Replika and Character.AI.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/92",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-92",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 93,
      "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/93",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-93",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 94,
      "slideType": "comparison_table",
      "function": "compare_peers",
      "notes": "Data source: Sequoia Capital. The slide uses two grouped bar charts to contrast incumbent apps (green) with AI-first companies (blue).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/94",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-94",
      "loopMatches": [
        {
          "to": 94,
          "from": 84,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-019bce66e7b5",
          "evidence": "ChatGPT scale, Chegg hit, Copilot productivity, then a counter-data slide on retention shortfalls.",
          "position": 9,
          "objective": "GenAI consumer and prosumer apps explode but retention is fragile",
          "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": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 95,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide contrasts two different strategic responses to generative AI in the stock media industry.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/95",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-95",
      "loopMatches": [
        {
          "to": 98,
          "from": 95,
          "name": "Precedent",
          "slug": "09-precedent",
          "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
          "matchId": "019dd95a-07fe-70ce-8d3e-043a3ffef2fc",
          "evidence": "Shutterstock/Getty, OpenAI-AP licensing, US copyright rulings, then EU/UK lawsuits.",
          "position": 10,
          "objective": "Use copyright cases as precedents to gauge legal exposure",
          "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
          "confidence": 78,
          "description": "Use historical or external examples to validate your approach"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 96,
      "slideType": "client_example",
      "function": "cite_precedent",
      "notes": "The slide uses a screenshot of a press release to provide evidence for the claim.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/96",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-96",
      "loopMatches": [
        {
          "to": 98,
          "from": 95,
          "name": "Precedent",
          "slug": "09-precedent",
          "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
          "matchId": "019dd95a-07fe-70ce-8d3e-043a3ffef2fc",
          "evidence": "Shutterstock/Getty, OpenAI-AP licensing, US copyright rulings, then EU/UK lawsuits.",
          "position": 10,
          "objective": "Use copyright cases as precedents to gauge legal exposure",
          "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
          "confidence": 78,
          "description": "Use historical or external examples to validate your approach"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 97,
      "slideType": "key_messages",
      "function": "cite_precedent",
      "notes": "The slide discusses the Thaler v. Perlmutter case and the Andy Warhol Foundation v. Goldsmith case (implied by the Prince portrait reference).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/97",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-97",
      "loopMatches": [
        {
          "to": 98,
          "from": 95,
          "name": "Precedent",
          "slug": "09-precedent",
          "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
          "matchId": "019dd95a-07fe-70ce-8d3e-043a3ffef2fc",
          "evidence": "Shutterstock/Getty, OpenAI-AP licensing, US copyright rulings, then EU/UK lawsuits.",
          "position": 10,
          "objective": "Use copyright cases as precedents to gauge legal exposure",
          "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
          "confidence": 78,
          "description": "Use historical or external examples to validate your approach"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 98,
      "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/98",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-98",
      "loopMatches": [
        {
          "to": 98,
          "from": 95,
          "name": "Precedent",
          "slug": "09-precedent",
          "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
          "matchId": "019dd95a-07fe-70ce-8d3e-043a3ffef2fc",
          "evidence": "Shutterstock/Getty, OpenAI-AP licensing, US copyright rulings, then EU/UK lawsuits.",
          "position": 10,
          "objective": "Use copyright cases as precedents to gauge legal exposure",
          "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
          "confidence": 78,
          "description": "Use historical or external examples to validate your approach"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 99,
      "slideType": "industry_trends",
      "function": "illustrate_case",
      "notes": "Slide 99 from State of AI 2023 report.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/99",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-99",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 100,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide uses a bar chart to contrast growth metrics for Hugging Face's ecosystem.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/100",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-100",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 101,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide highlights a strategic shift in the AI industry towards fine-tuning and specialized models.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/101",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-101",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 102,
      "slideType": "client_example",
      "function": "illustrate_case",
      "notes": "The slide uses press release snippets to validate the trend of AI adoption in pharma.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/102",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-102",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 103,
      "slideType": "client_example",
      "function": "illustrate_case",
      "notes": "The chart illustrates the 'AI fever' phenomenon by showing a sharp spike in Recursion Pharmaceuticals' stock following an investment announcement from NVIDIA.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/103",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-103",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 104,
      "slideType": "other",
      "function": "establish_context",
      "notes": "The slide uses a chronological sequence of logos to illustrate organizational branding changes.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/104",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-104",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 105,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a list of authors and logos of companies they founded or joined.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/105",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-105",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 106,
      "slideType": "industry_trends",
      "function": "illustrate_case",
      "notes": "The slide tracks the career paths of the authors of the 'Attention Is All You Need' paper and maps them to their current startups and 2023 funding amounts.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/106",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-106",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 107,
      "slideType": "client_example",
      "function": "illustrate_case",
      "notes": "The slide showcases the capabilities of the GAIA-1 model through visual examples of different driving conditions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/107",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-107",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 108,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes logos of Waymo, Cruise, and Stack AV at the bottom.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/108",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-108",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 109,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The slide uses two stacked bar charts to show investment by round size and by AI vs. GenAI split.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/109",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-109",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 110,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide compares private startup/scaleup EV (left) with public startup/scaleup EV (right) over time, segmented by launch year cohorts.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/110",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-110",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 111,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows a significant concentration of capital in the US compared to other regions.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/111",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-111",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 112,
      "slideType": "competitive_analysis",
      "function": "compare_peers",
      "notes": "Data source: dealroom.co as of 19 Sept 2023.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/112",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-112",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 113,
      "slideType": "data_table",
      "function": "analyze_data",
      "notes": "The slide contains four distinct bar charts showing investment and deal volume metrics for AI categories.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/113",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-113",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 114,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows a clear dominance of acquisitions over IPOs in recent years, with 2023 data being partially projected.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/114",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-114",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 115,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart highlights a significant drop in non-AI investment in 2023 compared to previous years.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/115",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-115",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 116,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The chart highlights a significant spike in funding in 2023 compared to previous years.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/116",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-116",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 117,
      "slideType": "industry_trends",
      "function": "quantify_impact",
      "notes": "The chart illustrates the shift toward massive capital requirements for AI model training, with a specific callout to CoreWeave's debt financing model.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/117",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-117",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 118,
      "slideType": "other",
      "function": "summarize",
      "notes": "The slide evaluates a past prediction and provides evidence of the actual outcome through three categories of NVIDIA's activities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/118",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-118",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 119,
      "slideType": "market_landscape",
      "function": "illustrate_case",
      "notes": "The slide maps AI startups (left) to their funding round size (middle) and corporate investors (right).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/119",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-119",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 120,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "Data source: dealroom.co",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/120",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-120",
      "loopMatches": [
        {
          "to": 120,
          "from": 99,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3e-09a2221c6f1a",
          "evidence": "Funding, valuations, geo split, unicorns, sector mix, M&A, CVC, GenAI rounds compound the same thesis.",
          "position": 11,
          "objective": "Map the GenAI investment surge across stages, geos and corporates",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 80,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Research + Industry sections inventory model, compute, funding facts.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 120,
          "from": 11,
          "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Escalating capabilities, compute concentration and capital flows.",
          "position": 2,
          "confidence": 45,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "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": 121,
      "slideType": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/121",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-121",
      "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": 122,
      "slideType": "market_landscape",
      "function": "present_framework",
      "notes": "Uses a Venn diagram to show overlapping regulatory strategies across different nations.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/122",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-122",
      "loopMatches": [
        {
          "to": 127,
          "from": 122,
          "name": "Segmentation Split",
          "slug": "34-segmentation-split",
          "bestFor": "Customer analysis, market research, resource allocation",
          "matchId": "019dd95a-07fe-70ce-8d3e-0fbb05f62533",
          "evidence": "Page 122 Venn splits regulators into 3 camps; subsequent slides walk each segment in turn.",
          "position": 12,
          "objective": "Segment the world into distinct regulatory archetypes",
          "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
          "confidence": 82,
          "description": "Divide a whole into meaningful segments to reveal hidden patterns"
        }
      ],
      "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": 123,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide discusses the evolving regulatory stance of the UK and India regarding AI.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/123",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-123",
      "loopMatches": [
        {
          "to": 127,
          "from": 122,
          "name": "Segmentation Split",
          "slug": "34-segmentation-split",
          "bestFor": "Customer analysis, market research, resource allocation",
          "matchId": "019dd95a-07fe-70ce-8d3e-0fbb05f62533",
          "evidence": "Page 122 Venn splits regulators into 3 camps; subsequent slides walk each segment in turn.",
          "position": 12,
          "objective": "Segment the world into distinct regulatory archetypes",
          "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
          "confidence": 82,
          "description": "Divide a whole into meaningful segments to reveal hidden patterns"
        }
      ],
      "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": 124,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Part of a larger 'state of AI' report; slide 124.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/124",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-124",
      "loopMatches": [
        {
          "to": 127,
          "from": 122,
          "name": "Segmentation Split",
          "slug": "34-segmentation-split",
          "bestFor": "Customer analysis, market research, resource allocation",
          "matchId": "019dd95a-07fe-70ce-8d3e-0fbb05f62533",
          "evidence": "Page 122 Venn splits regulators into 3 camps; subsequent slides walk each segment in turn.",
          "position": 12,
          "objective": "Segment the world into distinct regulatory archetypes",
          "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
          "confidence": 82,
          "description": "Divide a whole into meaningful segments to reveal hidden patterns"
        }
      ],
      "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": 125,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Part of the 'state of ai 2023' report, specifically the 'Politics' section.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/125",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-125",
      "loopMatches": [
        {
          "to": 127,
          "from": 122,
          "name": "Segmentation Split",
          "slug": "34-segmentation-split",
          "bestFor": "Customer analysis, market research, resource allocation",
          "matchId": "019dd95a-07fe-70ce-8d3e-0fbb05f62533",
          "evidence": "Page 122 Venn splits regulators into 3 camps; subsequent slides walk each segment in turn.",
          "position": 12,
          "objective": "Segment the world into distinct regulatory archetypes",
          "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
          "confidence": 82,
          "description": "Divide a whole into meaningful segments to reveal hidden patterns"
        }
      ],
      "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": 126,
      "slideType": "situation_overview",
      "function": "establish_context",
      "notes": "The slide includes a table mapping functions to institutional efforts, though the table is small and serves as a supporting visual.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/126",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-126",
      "loopMatches": [
        {
          "to": 127,
          "from": 122,
          "name": "Segmentation Split",
          "slug": "34-segmentation-split",
          "bestFor": "Customer analysis, market research, resource allocation",
          "matchId": "019dd95a-07fe-70ce-8d3e-0fbb05f62533",
          "evidence": "Page 122 Venn splits regulators into 3 camps; subsequent slides walk each segment in turn.",
          "position": 12,
          "objective": "Segment the world into distinct regulatory archetypes",
          "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
          "confidence": 82,
          "description": "Divide a whole into meaningful segments to reveal hidden patterns"
        }
      ],
      "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": 127,
      "slideType": "key_messages",
      "function": "summarize",
      "notes": "The slide highlights the 'Frontier Model Forum' and individual CEO lobbying efforts as examples of industry-led governance.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/127",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-127",
      "loopMatches": [
        {
          "to": 127,
          "from": 122,
          "name": "Segmentation Split",
          "slug": "34-segmentation-split",
          "bestFor": "Customer analysis, market research, resource allocation",
          "matchId": "019dd95a-07fe-70ce-8d3e-0fbb05f62533",
          "evidence": "Page 122 Venn splits regulators into 3 camps; subsequent slides walk each segment in turn.",
          "position": 12,
          "objective": "Segment the world into distinct regulatory archetypes",
          "structure": "The Aggregate View -> Segment A Behavior -> Segment B Behavior -> The Insight in the Difference",
          "confidence": 82,
          "description": "Divide a whole into meaningful segments to reveal hidden patterns"
        }
      ],
      "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": 128,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart shows a decline in Chinese imports of semiconductor production machines, supporting the thesis of successful export controls.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/128",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-128",
      "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": 129,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Part of the 'state of ai 2023' report series.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/129",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-129",
      "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": 130,
      "slideType": "problem_statement",
      "function": "frame_problem",
      "notes": "The slide uses a rhetorical question to frame a nuanced discussion about semiconductor manufacturing capabilities in China.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/130",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-130",
      "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": 131,
      "slideType": "key_messages",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/131",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-131",
      "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": 132,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes a photo of the Anduril Fury autonomous vehicle.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/132",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-132",
      "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": 133,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a reference to the FT Film 'Ukraine's Tech War'.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/133",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-133",
      "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
    }
  ]
}