{
  "docId": "019dd923-5e88-73ef-bd5d-06b04d219fea",
  "docSlug": "dd91c78f6570bf29",
  "documentTitle": "2023 Air Street Capital The State of AI Report 2023",
  "authorId": "AirStreetCapital",
  "authorName": "Air Street Capital",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "vc_research",
  "sourceTypeLabel": "VC research",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.777,
  "pageNumber": 37,
  "pageCount": 163,
  "prevPage": 36,
  "nextPage": 38,
  "slideType": "industry_trends",
  "function": "summarize",
  "density": "balanced",
  "nDataPoints": 2,
  "notes": "Includes a small example box illustrating tool usage (QA and Calculator).",
  "elementsJson": [
    "headline_text",
    "bullet_list",
    "paragraph",
    "screenshot"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd5d-06b04d219fea/37",
  "deckHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd5d-06b04d219fea#slide-37",
  "components": [
    {
      "bbox": {
        "h": 0.2,
        "w": 0.3,
        "x": 0.68,
        "y": 0.58
      },
      "kind": "callout",
      "text": "The New England Journal of Medicine is a registered trademark of [QA(\"Who is the publisher of The New England Journal of Medicine?\") → Massachusetts Medical Society] the MMS.\nOut of 1400 participants, 400 (or [Calculator(400 / 1400) → 0.29] 29%) passed the test.",
      "attrs": null,
      "subkind": "primary",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "31675e37-0bc1-4190-ba06-1f4b9e5b5831",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "callout",
      "text": "The most immediate way LLMs can have an impact on the economy today is when they are enabled to execute calls to diverse external tools.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-47c4-7719-a222-c08fba56270f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.65,
        "x": 0.02,
        "y": 0.22
      },
      "kind": "list",
      "text": "The most immediate way LLMs can have an impact on the economy today is when they are enabled to execute calls to diverse external tools.\nOne example of tool-using LLMs is Meta and Universitat Pompeu Fabra's Toolformer.\nSome models are more narrowly focused, like Google's Mind's eye.\nLLMs which are able to use external tools are now commonly referred to as 'agents'.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5bdde667-2f1c-4339-a38b-41d9fcc9bec6",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.6,
        "x": 0.02,
        "y": 0.14
      },
      "kind": "title",
      "text": "Welcome, Agent Smith: LLMs are learning to use software tools",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "e4bb1763-cf1d-4cef-b2ee-059a9631e304",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Call to action",
      "slug": "call-to-action",
      "agent": null,
      "layer": "slide",
      "matchId": "a3b5ef55-f25b-48fa-976e-ade41bd48e42",
      "evidence": "The most immediate way LLMs can have an impact on the economy today is when they are enabled to execute calls to diverse external tools.",
      "confidence": 0.6
    },
    {
      "name": "Metaphor & Analogy",
      "slug": "metaphor-analogy",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1055-74e0-a957-4a09d36c24ed",
      "evidence": "'Welcome, Agent Smith' uses Matrix metaphor for tool-using LLMs.",
      "confidence": 82
    },
    {
      "name": "Story Moments",
      "slug": "story-moments",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "019dd95a-1055-74e0-a957-4f74d734d1ff",
      "evidence": "Cultural reference creates a memorable framing moment.",
      "confidence": 55
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 120,
      "from": 11,
      "beatId": "019dd95a-0682-776c-8e35-41afd44ef59f",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Facts (What)",
      "beatSlug": "triple-take-the-facts-what",
      "evidence": "Research + Industry sections inventory model, compute, funding facts.",
      "position": 1,
      "confidence": 78,
      "parentBeatName": "Setup",
      "parentBeatSlug": "setup"
    },
    {
      "to": 120,
      "from": 11,
      "beatId": "019dd95a-0682-776c-8e35-523bfb7f96e6",
      "arcName": "The Mountain",
      "arcSlug": "mountain",
      "beatName": "Rising Action",
      "beatSlug": "mountain-rising-action",
      "evidence": "Escalating capabilities, compute concentration and capital flows.",
      "position": 2,
      "confidence": 45,
      "parentBeatName": "Development",
      "parentBeatSlug": "development"
    }
  ],
  "loops": [
    {
      "to": 40,
      "from": 32,
      "name": "Pattern Hunter",
      "slug": "02-pattern-hunter",
      "bestFor": "Time-pressed audiences, building consensus, when data is strong",
      "matchId": "019dd95a-07fe-70ce-8d3d-ec11d4feb687",
      "evidence": "Vibe-check, code, prompting, Agent Smith, Voyager, RAP, GPT-4-RL slides accumulate into 'LLMs as agents'.",
      "position": 4,
      "objective": "Show LLMs becoming agentic across prompting, tools and reasoning",
      "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"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}