{
  "docId": "019dd923-5fec-763b-95cd-c0120109d326",
  "docSlug": "piNuzGYJQKmhzN0Bb0QW",
  "documentTitle": "Gensyn uses blockchain to connect machine learning researchers with compute power. Check out the 11-slide pitch deck it used to land $6.5 million.",
  "authorId": "Pitchdecks",
  "authorName": "Gensyn",
  "documentKindSlug": "pitchdeck",
  "documentKindLabel": "Pitch deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.776,
  "pageNumber": 6,
  "pageCount": 11,
  "prevPage": 5,
  "nextPage": 7,
  "slideType": "solution",
  "function": "present_solution",
  "density": "dense",
  "nDataPoints": 4,
  "notes": "The slide uses a specific aesthetic with monospaced fonts and a muted pink background.",
  "elementsJson": [
    "action_title",
    "bullet_list",
    "bar_chart_vertical"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5fec-763b-95cd-c0120109d326/6",
  "deckHref": "/decks/019dd923-5fec-763b-95cd-c0120109d326",
  "deckJsonHref": "/decks/019dd923-5fec-763b-95cd-c0120109d326.json",
  "deckAnchorHref": "/decks/019dd923-5fec-763b-95cd-c0120109d326#slide-6",
  "components": [
    {
      "bbox": {
        "h": 0.4,
        "w": 0.55,
        "x": 0.42,
        "y": 0.5
      },
      "kind": "chart",
      "text": "MNIST image classification model verification time",
      "attrs": null,
      "subkind": "bar-vertical",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9fe886f9-2620-4951-ba61-3011ec8be443",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.35,
        "w": 0.55,
        "x": 0.42,
        "y": 0.1
      },
      "kind": "list",
      "text": "Probabilistic method for approximate verifiability: using the metadata from gradient based optimisation methods to check that a model has been trained as requested\nDeterministic challenge mechanisms: a graph based pinpoint protocol for contract arbitration between trainers and verifiers\nGame Theory: a Truebit-style incentive game that produces honest participation from financially rational actors through slashable deposits and reward bounties",
      "attrs": null,
      "subkind": "bullet",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9b4540ff-b6cc-427c-9d9c-820d3e6538d8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Verification time: 1,350%",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-d522-75ae-9579-1b01d6b0e698",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.7,
        "w": 0.35,
        "x": 0.05,
        "y": 0.15
      },
      "kind": "title",
      "text": "A first of its kind scalable deep learning verification mechanism 1,350% faster vs the best competition",
      "attrs": null,
      "subkind": "action-title",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "45389c86-9b9b-45f1-b5ad-01bbe63fffb8",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "game-theory",
      "slug": null,
      "matchId": "46b7681d-f68a-4df3-b063-5ddac2e57cc1",
      "evidence": "Mentions Truebit-style incentive game for honest participation",
      "confidence": 0.9
    }
  ],
  "arcBeats": [
    {
      "to": 6,
      "from": 5,
      "beatId": "141783ac-8706-47cd-b8d2-f1679414d28a",
      "arcName": "The Sequoia Pitch",
      "arcSlug": "sequoia-pitch",
      "beatName": "Solution",
      "beatSlug": "sequoia-pitch-solution",
      "evidence": "Slides 5-6 describe the solution",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Turn",
      "parentBeatSlug": "turn"
    }
  ],
  "loops": [
    {
      "to": 9,
      "from": 3,
      "name": "Cost Of Inaction",
      "slug": "27-cost-of-inaction",
      "bestFor": "Urgent budget requests, compliance, risk mitigation",
      "matchId": "796f1855-b157-4d41-827c-2cb53fa2c1f9",
      "evidence": "Slides 3-9 discuss the consequences of not addressing the problem",
      "position": 0,
      "objective": "Highlight the cost of inaction",
      "structure": "The Status Quo -> The Hidden Costs Accumulating -> The Future State of Inaction -> The Tipping Point",
      "confidence": 0.7,
      "description": "Quantify what happens if the audience does nothing"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}