Skip to content
Longterm Wiki has not been actively maintained since May 2026. Some data is still updated occasionally, but please don't rely on this site being current or accurate.
Longterm Wiki

Intervention Timing Windows

intervention-timing-windowsanalysisPath: /knowledge-base/models/intervention-timing-windows/
E178Entity ID (EID)
← Back to page1 backlinksQuality: 72Updated: 2025-12-28
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
{
  "id": "intervention-timing-windows",
  "wikiId": "E178",
  "path": "/knowledge-base/models/intervention-timing-windows/",
  "filePath": "knowledge-base/models/intervention-timing-windows.mdx",
  "title": "Intervention Timing Windows",
  "quality": 72,
  "readerImportance": 90,
  "researchImportance": 61.5,
  "tacticalValue": 60,
  "contentFormat": "article",
  "causalLevel": null,
  "lastUpdated": "2025-12-28",
  "dateCreated": "2026-02-15",
  "summary": "Framework for prioritizing AI safety interventions by temporal urgency rather than impact alone, identifying four critical closing windows (2024-2028): compute governance (70% closure by 2027), international coordination (60% by 2028), lab safety culture (80% by 2026), and regulatory precedent (75% by 2027). Recommends reallocating 20-30% of resources from stable-window work to closing-window interventions, with specific funding increases (triple compute governance, double international coordination) and quantified timelines with uncertainty ranges.",
  "description": "Strategic model categorizing AI safety interventions by temporal urgency.",
  "ratings": {
    "focus": 8.5,
    "novelty": 6.5,
    "rigor": 7,
    "completeness": 8,
    "concreteness": 8.5,
    "actionability": 8
  },
  "category": "models",
  "subcategory": "timeline-models",
  "clusters": [
    "ai-safety",
    "governance"
  ],
  "metrics": {
    "wordCount": 4401,
    "tableCount": 30,
    "diagramCount": 3,
    "internalLinks": 59,
    "externalLinks": 28,
    "footnoteCount": 0,
    "bulletRatio": 0.12,
    "sectionCount": 43,
    "hasOverview": true,
    "structuralScore": 15
  },
  "suggestedQuality": 100,
  "updateFrequency": 90,
  "evergreen": true,
  "wordCount": 4401,
  "unconvertedLinks": [
    {
      "text": "GovAI",
      "url": "https://www.governance.ai/",
      "resourceId": "f35c467b353f990f",
      "resourceTitle": "GovAI helps decision-makers navigate the transition to a world with advanced AI, by producing rigorous research and fostering talent.\" name=\"description\"/><meta content=\"GovAI | Home"
    },
    {
      "text": "CSET Georgetown",
      "url": "https://cset.georgetown.edu/",
      "resourceId": "f0d95954b449240a",
      "resourceTitle": "CSET: AI Market Dynamics"
    },
    {
      "text": "Institute for Law & AI research",
      "url": "https://law-ai.org/the-role-of-compute-thresholds-for-ai-governance/",
      "resourceId": "510c42bfa643b8de",
      "resourceTitle": "The Role of Compute Thresholds for AI Governance"
    },
    {
      "text": "Atlantic Council analysis",
      "url": "https://www.atlanticcouncil.org/blogs/new-atlanticist/reading-between-the-lines-of-the-dueling-us-and-chinese-ai-action-plans/",
      "resourceId": "7629a035e7e22ee1",
      "resourceTitle": "Paris AI Summit divergence"
    },
    {
      "text": "White House executive order analysis",
      "url": "https://www.whitehouse.gov/presidential-actions/2025/12/eliminating-state-law-obstruction-of-national-artificial-intelligence-policy/",
      "resourceId": "07bbfdc7df05b11a",
      "resourceTitle": "Ensuring a National Policy Framework for Artificial Intelligence (The White House, December 11, 2025)"
    },
    {
      "text": "Institute for Law & AI",
      "url": "https://law-ai.org/the-role-of-compute-thresholds-for-ai-governance/",
      "resourceId": "510c42bfa643b8de",
      "resourceTitle": "The Role of Compute Thresholds for AI Governance"
    },
    {
      "text": "GovAI Research",
      "url": "https://www.governance.ai/research",
      "resourceId": "571cb6299c6d27cf",
      "resourceTitle": "GovAI Research Publications"
    },
    {
      "text": "CSET Georgetown",
      "url": "https://cset.georgetown.edu/publications/",
      "resourceId": "a172739acb6bedc6",
      "resourceTitle": "Publications | Center for Security and Emerging Technology"
    },
    {
      "text": "FLI AI Safety Index 2024",
      "url": "https://futureoflife.org/document/fli-ai-safety-index-2024/",
      "resourceId": "f7ea8fb78f67f717",
      "resourceTitle": "Future of Life Institute: AI Safety Index 2024"
    }
  ],
  "unconvertedLinkCount": 9,
  "convertedLinkCount": 41,
  "backlinkCount": 1,
  "hallucinationRisk": {
    "level": "medium",
    "score": 40,
    "factors": [
      "no-citations",
      "high-rigor"
    ]
  },
  "entityType": "analysis",
  "redundancy": {
    "maxSimilarity": 18,
    "similarPages": [
      {
        "id": "international-coordination-game",
        "title": "International AI Coordination Game",
        "path": "/knowledge-base/models/international-coordination-game/",
        "similarity": 18
      },
      {
        "id": "us-aisi",
        "title": "US AI Safety Institute (now CAISI)",
        "path": "/knowledge-base/organizations/us-aisi/",
        "similarity": 17
      },
      {
        "id": "coordination-mechanisms",
        "title": "International Coordination Mechanisms",
        "path": "/knowledge-base/responses/coordination-mechanisms/",
        "similarity": 17
      },
      {
        "id": "export-controls",
        "title": "AI Chip Export Controls",
        "path": "/knowledge-base/responses/export-controls/",
        "similarity": 17
      },
      {
        "id": "governance-policy",
        "title": "AI Governance and Policy",
        "path": "/knowledge-base/responses/governance-policy/",
        "similarity": 17
      }
    ]
  },
  "coverage": {
    "passing": 9,
    "total": 13,
    "targets": {
      "tables": 18,
      "diagrams": 2,
      "internalLinks": 35,
      "externalLinks": 22,
      "footnotes": 13,
      "references": 13
    },
    "actuals": {
      "tables": 30,
      "diagrams": 3,
      "internalLinks": 59,
      "externalLinks": 28,
      "footnotes": 0,
      "references": 35,
      "quotesWithQuotes": 0,
      "quotesTotal": 0,
      "accuracyChecked": 0,
      "accuracyTotal": 0
    },
    "items": {
      "summary": "green",
      "schedule": "green",
      "entity": "green",
      "editHistory": "red",
      "overview": "green",
      "tables": "green",
      "diagrams": "green",
      "internalLinks": "green",
      "externalLinks": "green",
      "footnotes": "red",
      "references": "green",
      "quotes": "red",
      "accuracy": "red"
    },
    "ratingsString": "N:6.5 R:7 A:8 C:8"
  },
  "readerRank": 20,
  "researchRank": 208,
  "recommendedScore": 192.66
}
External Links

No external links

Backlinks (1)
idtitletyperelationship
ai-acceleration-tradeoffAI Acceleration Tradeoff Modelanalysisrelated