{
  "kind": "all",
  "value": "all",
  "collectionKey": "slides:all:all:all-document-kinds:all-producers:all-orientations",
  "filters": {
    "documentKinds": [],
    "sourceTypes": [],
    "orientations": []
  },
  "total": 319975,
  "page": 902,
  "pageSize": 60,
  "pageCount": 5333,
  "rows": [
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 16,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart compares 'Frozen Pretrained Transformer' vs 'Full Transformer' vs 'Full LSTM' across 7 benchmarks.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/16",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-16",
      "loopMatches": [
        {
          "to": 18,
          "from": 11,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-45052222b756",
          "evidence": "Multiple evidence slides (vision, audio, 3D, MLPs comeback) all converging on transformer dominance.",
          "position": 2,
          "objective": "Show transformers spreading across AI domains",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 17,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide highlights a shift in research focus back to non-transformer architectures like MLP-Mixer and convolutional models.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/17",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-17",
      "loopMatches": [
        {
          "to": 18,
          "from": 11,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-45052222b756",
          "evidence": "Multiple evidence slides (vision, audio, 3D, MLPs comeback) all converging on transformer dominance.",
          "position": 2,
          "objective": "Show transformers spreading across AI domains",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 18,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide explains the technical mechanism of NeRF and mentions GIRAFFE as a generative variant.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/18",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-18",
      "loopMatches": [
        {
          "to": 18,
          "from": 11,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-45052222b756",
          "evidence": "Multiple evidence slides (vision, audio, 3D, MLPs comeback) all converging on transformer dominance.",
          "position": 2,
          "objective": "Show transformers spreading across AI domains",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 82,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 19,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The chart shows CASP14 performance metrics comparing AlphaFold (G427) against other participants.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/19",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-19",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 20,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a technical diagram of the RoseTTAFold architecture and two bar charts comparing performance benchmarks.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/20",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-20",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 21,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses a combination of a process diagram and two charts (bar and line) to validate the efficacy of AI-generated proteins.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/21",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-21",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 22,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses a metaphor of 'grammaticality' (viability) vs 'semantic change' (antigenic variation) to explain viral evolution.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/22",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-22",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 23,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights a specific AI application in structural biology.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/23",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-23",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 24,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The chart shows the exponential growth of cryo-EM structures in the Protein Data Bank (PDBe) over time, segmented by resolution.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/24",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-24",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 25,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide describes a specific machine learning architecture (likely 'CPA' or Compositional Perturbation Autoencoder) for drug discovery.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/25",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-25",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 26,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide contrasts a traditional 'Brute Force' approach with a 'MolPAL' (Molecular Pool-based Active Learning) approach.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/26",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-26",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 27,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide compares various machine learning approaches for predicting Buchwald-Hartwig reaction yields using bar charts and line graphs.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/27",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-27",
      "loopMatches": [
        {
          "to": 27,
          "from": 19,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4a8c359eb5db",
          "evidence": "AlphaFold2 -> protein generation -> RNA structure -> cryo-EM -> drug screening; consistent pattern.",
          "position": 3,
          "objective": "Demonstrate AI's expansion into structural biology and drug discovery",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 28,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide uses a timeline-like visual to show the progression of DeepMind's algorithms (AlphaGo, AlphaGo Zero, AlphaZero, MuZero) and their capabilities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/28",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-28",
      "loopMatches": [
        {
          "to": 32,
          "from": 28,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4c5c6602de39",
          "evidence": "MuZero, DreamerV2, generalisation, Leela coaching, then statistics rigour critique.",
          "position": 4,
          "objective": "Survey reinforcement learning advances + concerns",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 29,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide compares DreamerV2 against IQN, Rainbow, C51, and DQN across four performance metrics (Gamer Median, Gamer Mean, Record Mean, Clipped Record Mean) over 200 million steps.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/29",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-29",
      "loopMatches": [
        {
          "to": 32,
          "from": 28,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4c5c6602de39",
          "evidence": "MuZero, DreamerV2, generalisation, Leela coaching, then statistics rigour critique.",
          "position": 4,
          "objective": "Survey reinforcement learning advances + concerns",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 30,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights the XLand environment and Population Based Training as key enablers for zero-shot generalization in RL.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/30",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-30",
      "loopMatches": [
        {
          "to": 32,
          "from": 28,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4c5c6602de39",
          "evidence": "MuZero, DreamerV2, generalisation, Leela coaching, then statistics rigour critique.",
          "position": 4,
          "objective": "Survey reinforcement learning advances + concerns",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 31,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses three line charts with trend lines to show the impact of AI on human performance.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/31",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-31",
      "loopMatches": [
        {
          "to": 32,
          "from": 28,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4c5c6602de39",
          "evidence": "MuZero, DreamerV2, generalisation, Leela coaching, then statistics rigour critique.",
          "position": 4,
          "objective": "Survey reinforcement learning advances + concerns",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 32,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The slide includes two charts: a scatter plot showing the decline in the number of runs over time and a density plot showing the distribution of reported median scores.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/32",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-32",
      "loopMatches": [
        {
          "to": 32,
          "from": 28,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-4c5c6602de39",
          "evidence": "MuZero, DreamerV2, generalisation, Leela coaching, then statistics rigour critique.",
          "position": 4,
          "objective": "Survey reinforcement learning advances + concerns",
          "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": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 33,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a comparison diagram of existing methods vs. ClipBERT and a performance table.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/33",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-33",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 34,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide highlights the trade-off between model capacity and language resource density in ASR.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/34",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-34",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 35,
      "slideType": "industry_trends",
      "function": "present_framework",
      "notes": "Includes a process diagram of the GSLM architecture.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/35",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-35",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 36,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide explains the technical shift from GANs to diffusion models in AI research.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/36",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-36",
      "loopMatches": [
        {
          "to": 40,
          "from": 36,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019dd95a-07fe-70ce-8d3d-53192fc75199",
          "evidence": "Diffusion models > GANs, then CLIP, then DALL-E payoff.",
          "position": 5,
          "objective": "Reveal multimodal generative AI breakthrough",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 72,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 37,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "Includes a technical diagram of the contrastive learning architecture and the loss function formula.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/37",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-37",
      "loopMatches": [
        {
          "to": 40,
          "from": 36,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019dd95a-07fe-70ce-8d3d-53192fc75199",
          "evidence": "Diffusion models > GANs, then CLIP, then DALL-E payoff.",
          "position": 5,
          "objective": "Reveal multimodal generative AI breakthrough",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 72,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 38,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide explains the CLIP architecture using a three-step process diagram.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/38",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-38",
      "loopMatches": [
        {
          "to": 40,
          "from": 36,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019dd95a-07fe-70ce-8d3d-53192fc75199",
          "evidence": "Diffusion models > GANs, then CLIP, then DALL-E payoff.",
          "position": 5,
          "objective": "Reveal multimodal generative AI breakthrough",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 72,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 39,
      "slideType": "client_example",
      "function": "illustrate_case",
      "notes": "Includes visual examples of DALL-E outputs for specific text prompts.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/39",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-39",
      "loopMatches": [
        {
          "to": 40,
          "from": 36,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019dd95a-07fe-70ce-8d3d-53192fc75199",
          "evidence": "Diffusion models > GANs, then CLIP, then DALL-E payoff.",
          "position": 5,
          "objective": "Reveal multimodal generative AI breakthrough",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 72,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 40,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide details the VLiD architecture, showing training and inference workflows.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/40",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-40",
      "loopMatches": [
        {
          "to": 40,
          "from": 36,
          "name": "Aha Moment",
          "slug": "03-aha-moment",
          "bestFor": "Data-heavy sections, research findings, analytical arguments",
          "matchId": "019dd95a-07fe-70ce-8d3d-53192fc75199",
          "evidence": "Diffusion models > GANs, then CLIP, then DALL-E payoff.",
          "position": 5,
          "objective": "Reveal multimodal generative AI breakthrough",
          "structure": "The Problem/Question -> What the Data Shows -> The Insight",
          "confidence": 72,
          "description": "Establish a tension, present data, then deliver the insight that changes everything"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 41,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses a visual example of a prompt-to-code workflow.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/41",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-41",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 42,
      "slideType": "problem_statement",
      "function": "diagnose",
      "notes": "Includes a visual example of a coding problem (H-Index) and a bar chart comparing model performance across difficulty levels.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/42",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-42",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 43,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide contrasts formal theorem proving datasets with the new MATH dataset, highlighting the difficulty of the latter even for humans.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/43",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-43",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 44,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "Includes a qualitative example of model responses to tricky questions as model size increases.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/44",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-44",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 45,
      "slideType": "industry_trends",
      "function": "present_framework",
      "notes": "The slide references a CMU survey of 60+ papers. It includes a table comparing four paradigms: Fully Supervised (Non-Neural), Fully Supervised (Neural), Pre-train/Fine-tune, and Pre-train/Prompt/Predict.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/45",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-45",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 46,
      "slideType": "industry_trends",
      "function": "illustrate_case",
      "notes": "Includes a tweet as a case study example.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/46",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-46",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 47,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The slide uses data from LAMA and SuperGlue benchmarks to illustrate performance variability in prompting.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/47",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-47",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 48,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "The slide includes two technical diagrams illustrating the architecture of the ERNIE 3.0 model.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/48",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-48",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 49,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide showcases the M6 model's capabilities in multimodal tasks (image-to-text and text-to-image) using examples from the M6-Corpus.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/49",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-49",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 50,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/50",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-50",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 51,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "The slide highlights the unreliability of human benchmarks in NLP, specifically referencing GPT-2 and GPT-3 evaluation.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/51",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-51",
      "loopMatches": [
        {
          "to": 51,
          "from": 41,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-576c8c35c986",
          "evidence": "Codex, math limits, truthfulness, prompt engineering, SuperGLUE, multilingual LLMs.",
          "position": 6,
          "objective": "Trace LLM frontier and the prompting paradigm",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 52,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide highlights the lack of geographic diversity in training data for medical AI, leading to potential clinical bias.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/52",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-52",
      "loopMatches": [
        {
          "to": 55,
          "from": 52,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5a2841b69367",
          "evidence": "Data deserts -> measuring bias -> 94% systems worse than radiologist -> racial identification — symptom to system to root.",
          "position": 7,
          "objective": "Surface bias problems in medical AI",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 78,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 53,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "The slide uses two charts to illustrate demographic imbalances: a population pyramid by ethnicity and age, and a stacked bar chart showing sex distribution by ethnicity.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/53",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-53",
      "loopMatches": [
        {
          "to": 55,
          "from": 52,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5a2841b69367",
          "evidence": "Data deserts -> measuring bias -> 94% systems worse than radiologist -> racial identification — symptom to system to root.",
          "position": 7,
          "objective": "Surface bias problems in medical AI",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 78,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 54,
      "slideType": "diagnosis",
      "function": "diagnose",
      "notes": "The slide uses a scatter plot to compare sensitivity vs false positive rate across various studies.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/54",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-54",
      "loopMatches": [
        {
          "to": 55,
          "from": 52,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5a2841b69367",
          "evidence": "Data deserts -> measuring bias -> 94% systems worse than radiologist -> racial identification — symptom to system to root.",
          "position": 7,
          "objective": "Surface bias problems in medical AI",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 78,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 55,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights a specific research finding regarding algorithmic bias in medical imaging.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/55",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-55",
      "loopMatches": [
        {
          "to": 55,
          "from": 52,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5a2841b69367",
          "evidence": "Data deserts -> measuring bias -> 94% systems worse than radiologist -> racial identification — symptom to system to root.",
          "position": 7,
          "objective": "Surface bias problems in medical AI",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 78,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 56,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses data from Papers With Code to track trends in AI research reproducibility and framework adoption.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/56",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-56",
      "loopMatches": [
        {
          "to": 63,
          "from": 56,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5f004461126b",
          "evidence": "Code availability, data cascades, dataset documentation, collusion rings, code+conferences.",
          "position": 8,
          "objective": "Diagnose openness and trust crisis in ML research",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 75,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "authorId": "AirStreetCapital",
      "authorName": "Air Street Capital",
      "documentKindSlug": "consulting-deck",
      "documentKindLabel": "Consulting deck",
      "sourceTypeSlug": "vc_research",
      "sourceTypeLabel": "VC research",
      "presentationDate": null,
      "orientation": "landscape",
      "aspectRatio": 1.777,
      "pageNumber": 57,
      "slideType": "problem_statement",
      "function": "frame_problem",
      "notes": "Includes a diagram of the data cascade process and a summary table of triggers and impacts.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/57",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-57",
      "loopMatches": [
        {
          "to": 63,
          "from": 56,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5f004461126b",
          "evidence": "Code availability, data cascades, dataset documentation, collusion rings, code+conferences.",
          "position": 8,
          "objective": "Diagnose openness and trust crisis in ML research",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 75,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 58,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The slide uses a diagram to propose a documentation framework for CommonCrawl-based datasets.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/58",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-58",
      "loopMatches": [
        {
          "to": 63,
          "from": 56,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5f004461126b",
          "evidence": "Code availability, data cascades, dataset documentation, collusion rings, code+conferences.",
          "position": 8,
          "objective": "Diagnose openness and trust crisis in ML research",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 75,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 59,
      "slideType": "industry_trends",
      "function": "summarize",
      "notes": "Includes specific examples of legal NLP (legalBERT/CaseHOLD) and malware detection (SoReL-20M).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/59",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-59",
      "loopMatches": [
        {
          "to": 63,
          "from": 56,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5f004461126b",
          "evidence": "Code availability, data cascades, dataset documentation, collusion rings, code+conferences.",
          "position": 8,
          "objective": "Diagnose openness and trust crisis in ML research",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 75,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 60,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide highlights the trade-off between dataset size and training efficiency, showcasing specific techniques like SEALS and SVP.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/60",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-60",
      "loopMatches": [
        {
          "to": 63,
          "from": 56,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5f004461126b",
          "evidence": "Code availability, data cascades, dataset documentation, collusion rings, code+conferences.",
          "position": 8,
          "objective": "Diagnose openness and trust crisis in ML research",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 75,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 61,
      "slideType": "problem_statement",
      "function": "frame_problem",
      "notes": "The chart shows the rapid growth in submissions vs. accepted papers, illustrating the pressure on the review system.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/61",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-61",
      "loopMatches": [
        {
          "to": 63,
          "from": 56,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5f004461126b",
          "evidence": "Code availability, data cascades, dataset documentation, collusion rings, code+conferences.",
          "position": 8,
          "objective": "Diagnose openness and trust crisis in ML research",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 75,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 62,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide compares code provision rates (initial vs camera-ready) and acceptance rates across different author affiliations.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/62",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-62",
      "loopMatches": [
        {
          "to": 63,
          "from": 56,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5f004461126b",
          "evidence": "Code availability, data cascades, dataset documentation, collusion rings, code+conferences.",
          "position": 8,
          "objective": "Diagnose openness and trust crisis in ML research",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 75,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 63,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "Data from a randomized prospective social media trial in the Annals of Thoracic Surgery.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/63",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-63",
      "loopMatches": [
        {
          "to": 63,
          "from": 56,
          "name": "Iceberg",
          "slug": "10-iceberg",
          "bestFor": "Consulting, complex problem solving, organizational change",
          "matchId": "019dd95a-07fe-70ce-8d3d-5f004461126b",
          "evidence": "Code availability, data cascades, dataset documentation, collusion rings, code+conferences.",
          "position": 8,
          "objective": "Diagnose openness and trust crisis in ML research",
          "structure": "The Symptom (Visible) -> The System (Hidden) -> The Root Cause",
          "confidence": 75,
          "description": "Reveal that the visible problem is merely a symptom of a deeper root cause"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 64,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The slide uses two charts: a bar chart for absolute keyword frequency and a diverging bar chart for growth/decline in usage.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/64",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-64",
      "loopMatches": [
        {
          "to": 69,
          "from": 64,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-627b31dfbe04",
          "evidence": "GNNs jump to 4th hottest keyword + multiple application slides (mesh sim, ETA, RevGNN, OGB).",
          "position": 9,
          "objective": "Show GNNs becoming mainstream",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 65,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide explains the application of GNNs to physical dynamics, specifically mesh-based simulation, highlighting efficiency gains and generalization capabilities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/65",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-65",
      "loopMatches": [
        {
          "to": 69,
          "from": 64,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-627b31dfbe04",
          "evidence": "GNNs jump to 4th hottest keyword + multiple application slides (mesh sim, ETA, RevGNN, OGB).",
          "position": 9,
          "objective": "Show GNNs becoming mainstream",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 66,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses a world map to visualize the percentage reduction in negative ETA outcomes across various global cities.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/66",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-66",
      "loopMatches": [
        {
          "to": 69,
          "from": 64,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-627b31dfbe04",
          "evidence": "GNNs jump to 4th hottest keyword + multiple application slides (mesh sim, ETA, RevGNN, OGB).",
          "position": 9,
          "objective": "Show GNNs becoming mainstream",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 67,
      "slideType": "industry_trends",
      "function": "diagnose",
      "notes": "The chart shows a bubble plot comparing ROC-AUC score vs GPU Memory (GB) for various GNN models.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/67",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-67",
      "loopMatches": [
        {
          "to": 69,
          "from": 64,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-627b31dfbe04",
          "evidence": "GNNs jump to 4th hottest keyword + multiple application slides (mesh sim, ETA, RevGNN, OGB).",
          "position": 9,
          "objective": "Show GNNs becoming mainstream",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 68,
      "slideType": "other",
      "function": "present_framework",
      "notes": "Technical slide explaining a specific AI research methodology (L3P).",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/68",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-68",
      "loopMatches": [
        {
          "to": 69,
          "from": 64,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-627b31dfbe04",
          "evidence": "GNNs jump to 4th hottest keyword + multiple application slides (mesh sim, ETA, RevGNN, OGB).",
          "position": 9,
          "objective": "Show GNNs becoming mainstream",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 69,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights the success of Chinese entities in AI research benchmarks.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/69",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-69",
      "loopMatches": [
        {
          "to": 69,
          "from": 64,
          "name": "Pattern Hunter",
          "slug": "02-pattern-hunter",
          "bestFor": "Time-pressed audiences, building consensus, when data is strong",
          "matchId": "019dd95a-07fe-70ce-8d3d-627b31dfbe04",
          "evidence": "GNNs jump to 4th hottest keyword + multiple application slides (mesh sim, ETA, RevGNN, OGB).",
          "position": 9,
          "objective": "Show GNNs becoming mainstream",
          "structure": "Evidence A -> Evidence B -> Evidence C -> Pattern/Conclusion",
          "confidence": 78,
          "description": "Group multiple pieces of evidence that together point to a pattern or conclusion"
        }
      ],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 70,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide highlights a specific application of AI in meteorology, comparing DGM performance against PySTEPS and Axial Attention models.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/70",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-70",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 71,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses a process flow diagram to show the transition from raw video data to actionable digital biomarkers.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/71",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-71",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 72,
      "slideType": "case_study",
      "function": "illustrate_case",
      "notes": "The slide uses a causal diagram (DAG) to illustrate confounding variables and two horizontal bar charts to show vaccine effectiveness over time for AstraZeneca and Pfizer.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/72",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-72",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": 73,
      "slideType": "industry_trends",
      "function": "analyze_data",
      "notes": "The chart compares Accelerator Years, Energy Consumption (MWh), and Net CO2e (metric tons) for models Meena, T5, GPT-3, Gshard-600B, and Switch Transformer.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/73",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-73",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": "industry_trends",
      "function": "summarize",
      "notes": "Includes a code snippet demonstrating JAX syntax and a logo/library comparison graphic.",
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/74",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-74",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    },
    {
      "docId": "019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "docSlug": "bf350dd574c19997",
      "documentTitle": "2021 Air Street Capital The State of AI Report 2021",
      "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": "section_divider",
      "function": "transition",
      "notes": null,
      "imagePath": null,
      "matchCount": 1,
      "evidence": null,
      "slideHref": "/slides/019dd923-5e88-73ef-bd5c-fd5012384ae3/75",
      "deckHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3",
      "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5c-fd5012384ae3#slide-75",
      "loopMatches": [],
      "arcBeatMatches": [
        {
          "to": 152,
          "from": 5,
          "beatId": "019dd95a-0682-776c-8e35-0affbadec38e",
          "arcName": "The Triple Take",
          "arcSlug": "triple-take",
          "beatName": "The Facts (What)",
          "beatSlug": "triple-take-the-facts-what",
          "evidence": "Definitions p.5-6, Exec Summary p.7, then Sections 1-3 catalog evidence.",
          "position": 1,
          "confidence": 78,
          "parentBeatName": "Setup",
          "parentBeatSlug": "setup"
        },
        {
          "to": 152,
          "from": 10,
          "beatId": "019dd95a-0682-776c-8e35-1b3ee3a1c012",
          "arcName": "The Mountain",
          "arcSlug": "mountain",
          "beatName": "Rising Action",
          "beatSlug": "mountain-rising-action",
          "evidence": "Three sections accumulating evidence of accelerating progress.",
          "position": 2,
          "confidence": 55,
          "parentBeatName": "Development",
          "parentBeatSlug": "development"
        }
      ],
      "imagePathAlt": null,
      "thumbSrc": null,
      "thumbSrcAlt": null,
      "locked": true
    }
  ]
}