{
  "docId": "019de06f-b8a3-7331-8935-2a15d6d59d93",
  "docSlug": "041e12e95b005675c8303cd029ca09ef",
  "documentTitle": "OpenAI | Product Presentation Deck | 64 slides",
  "authorId": "openai",
  "authorName": "OpenAI",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2018-09-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 59,
  "pageCount": 64,
  "prevPage": 58,
  "nextPage": 60,
  "slideType": "before_after",
  "function": "illustrate_case",
  "density": "balanced",
  "nDataPoints": 1,
  "notes": "Uses a before-after-bridge structure to highlight the breakthrough in robotics.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de06f-b8a3-7331-8935-2a15d6d59d93/59",
  "deckHref": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93",
  "deckJsonHref": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93.json",
  "deckAnchorHref": "/decks/019de06f-b8a3-7331-8935-2a15d6d59d93#slide-59",
  "components": [
    {
      "bbox": {
        "h": 0.438,
        "w": 0.425,
        "x": 0.529,
        "y": 0.348
      },
      "kind": "image",
      "text": "Robot hand manipulating a cube",
      "attrs": null,
      "subkind": "photo",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "76f67dde-75ac-4c33-99df-d1d449a6cf78",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.65,
        "w": 0.45,
        "x": 0.05,
        "y": 0.21
      },
      "kind": "list",
      "text": "Before: Deep RL is limited to games and other perfectly-simulatable problems. The result: 1.5M-parameter LSTM, trained in simulation by the OpenAI Five training system & learning algorithm, deployed on a physical robot hand to manipulate a cube. After: Deep RL can cross reality gap given only a \"good enough\" simulator at training time.",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "946eb8e4-b5c0-43a4-a47d-a8e771c66f36",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.16,
        "x": 0.42,
        "y": 0.08
      },
      "kind": "title",
      "text": "Dactyl (2018)",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d02a8f1b-7b70-4248-b503-cd77091c63a4",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Before-After-Bridge",
      "slug": "before-after-bridge",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "9e127fcf-7a5f-4880-b7de-d642ff176a36",
      "evidence": "Before: Deep RL is limited to games and other perfectly-simulatable problems.",
      "confidence": 0.8
    },
    {
      "name": "Before/after framing",
      "slug": "before-after-framing",
      "agent": null,
      "layer": "slide",
      "matchId": "da50e892-2b16-4027-8caf-e55585211a07",
      "evidence": "Before: Deep RL is limited to games and other perfectly-simulatable problems.",
      "confidence": 0.8
    }
  ],
  "frameworks": [
    {
      "name": "before-after-bridge",
      "slug": null,
      "matchId": "9c705bcc-28c8-45c0-84a8-8b156241123b",
      "evidence": "The slide explicitly structures content into 'Before', 'The result', and 'After' to demonstrate a technological advancement.",
      "confidence": 1
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}