{
  "docId": "019de516-be30-779a-bdb4-3dcabc8e0e97",
  "docSlug": "b6fdd5cd3489b4869633a283e544207f",
  "documentTitle": "a16z | Market Presentation Deck | 30 slides",
  "authorId": "a16z",
  "authorName": null,
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2023-09-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7744917,
  "pageNumber": 17,
  "pageCount": 30,
  "prevPage": 16,
  "nextPage": 18,
  "slideType": "other",
  "function": "establish_context",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": null,
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de516-be30-779a-bdb4-3dcabc8e0e97/17",
  "deckHref": "/decks/019de516-be30-779a-bdb4-3dcabc8e0e97",
  "deckJsonHref": "/decks/019de516-be30-779a-bdb4-3dcabc8e0e97.json",
  "deckAnchorHref": "/decks/019de516-be30-779a-bdb4-3dcabc8e0e97#slide-17",
  "components": [
    {
      "bbox": {
        "h": 0.41,
        "w": 0.14,
        "x": 0.19,
        "y": 0.29
      },
      "kind": "list",
      "text": "Creativity\nMidjourney\nJasper",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "0d49c9e4-1b2a-4d5c-bef5-1fe5b3283656",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.41,
        "w": 0.13,
        "x": 0.62,
        "y": 0.29
      },
      "kind": "list",
      "text": "Co-pilot\nPerplexity\nBard",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "440b47fb-d48f-4c6a-a600-e93579a57ed9",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.31,
        "w": 0.16,
        "x": 0.39,
        "y": 0.29
      },
      "kind": "list",
      "text": "Companionship\ncharacter.ai",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "7eee16ef-fea8-4385-aa46-39ef1ddb395e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.01,
        "w": 0.32,
        "x": 0.02,
        "y": 0.95
      },
      "kind": "source-note",
      "text": "© 2023 Andreessen Horowitz. All rights reserved worldwide.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5e9a5064-7d44-4389-9eff-69b78e624dad",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.67,
        "x": 0.039,
        "y": 0.049
      },
      "kind": "title",
      "text": "The Emergence of Large Models / Gen AI",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "3e5efe28-6d69-47b4-8ea9-aa9c7799d5e9",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 23,
      "from": 16,
      "beatId": "7ea3b7ad-6d35-4024-92ca-4eaaf8263879",
      "arcName": "The Sparkline",
      "arcSlug": "sparkline",
      "beatName": "Propose Solution",
      "beatSlug": null,
      "evidence": "Slides 16-23 present the emergence of large models and generative AI as a solution.",
      "position": 2,
      "confidence": 0.8,
      "parentBeatName": null,
      "parentBeatSlug": null
    }
  ],
  "loops": [
    {
      "to": 20,
      "from": 16,
      "name": "Ladder Abstraction",
      "slug": "28-ladder-abstraction",
      "bestFor": "Training, thought leadership, making complex ideas accessible",
      "matchId": "40d53e80-0f33-402c-8ce7-a8b1c02171ec",
      "evidence": "The loop is visible in slides 16-20, which present the emergence of large models and generative AI as a solution.",
      "position": 1,
      "objective": "How do large models and generative AI abstract away complexity?",
      "structure": "The Concrete Example -> The Pattern It Represents -> The Universal Principle -> Back to Specific Application",
      "confidence": 0.6,
      "description": "Move between concrete examples and abstract principles to make ideas stick"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}