Thousands of experiments from permissionless disruptive innovation will completely change the game.

Thousands of experiments from permissionless disruptive innovation will completely change the game. | We're going to see thousands of experiments like this and some of them are going to completely change the game.

We're going to see thousands of experiments like this and some of them are going to completely change the game.

Beneficiaries (23)

Adverse (6)

{
  "nia": false,
  "qty": "thousands",
  "url": "https://www.youtube.com/watch?v=HklyjXKYFng",
  "mode": "PREDICTION",
  "role": "Host",
  "context": "Exponential systems resist long-term monop monopolization because they they tend to decentralize...We're going to see thousands of experiments like this and some of them are going to completely change the game.",
  "to_year": 2030,
  "verbatim": "We're going to see thousands of experiments like this and some of them are going to completely change the game.",
  "conv_cues": "going to; completely change",
  "direction": "HAPPEN",
  "from_year": 2026,
  "timeframe": "future",
  "conv_level": "HIGH",
  "milestones": [
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      "kind": "llm_pre_event",
      "label": "Open-source AI literature-review tool beats major LLMs (permissionless innovation)",
      "source": "Nature: Open-source AI tool beats giant LLMs in literature reviews",
      "status": "hit",
      "weight": 0.4,
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      "source_id": null,
      "confidence": 0.8,
      "source_url": "https://www.nature.com/articles/d41586-026-00347-9",
      "expected_date": "2026-02-01",
      "observed_date": "2026-02-01",
      "research_origin": "deep_research",
      "measurement_criterion": "Nature documents open-source / academic AI tool surpassing major commercial LLMs — proof of permissionless experiment outcompeting incumbents"
    },
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      "kind": "prereq",
      "label": "Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) a",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -9,
      "source_id": "SEM_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
    },
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      "kind": "prereq",
      "label": "Training runs costing $10 billion for a single model will commence sometime in 2025.",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "SEM_008",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
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      "label": "Anthropic revenue will cross OpenAI revenue in middle of 2026",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "234_012",
      "expected_date": "2026-04-29",
      "observed_date": "2026-04-29"
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      "kind": "prereq",
      "label": "Anthropic will exceed OpenAI in revenue this year (2026).",
      "status": "hit",
      "weight": 0.5,
      "ordinal": -6,
      "source_id": "235_002",
      "expected_date": "2026-04-29",
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      "kind": "prereq",
      "label": "2025 will be the definitive year that agentic systems finally hit the mainstream.",
      "status": "hit",
      "weight": 0.5,
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      "source_id": "SEM_042",
      "expected_date": "2026-04-29",
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      "kind": "llm_pre_event",
      "label": "Active AI/agent open-source projects reach 10,000+ on GitHub",
      "source": "GitHub Octoverse 2026; HuggingFace model hub stats",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.7,
      "expected_date": "2026-07-02",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2026-12-31",
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      "measurement_criterion": "GitHub trending / OpenRouter agent registry shows >=10,000 actively-maintained AI agent / LLM application repos with non-trivial usage"
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    {
      "kind": "llm_pre_event",
      "label": "First sub-$1M AI startup achieves $1B ARR or $1B valuation in <12 months",
      "source": "Crunchbase, PitchBook tracking; press coverage",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -3,
      "source_id": null,
      "confidence": 0.55,
      "expected_date": "2027-03-17",
      "research_origin": "training",
      "expected_date_range": {
   
... (truncated)