Intervention Timing Windows

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  "llmSummary": "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. Identifies compute governance (70% closure by 2027), international coordination (60% closure by 2028), lab safety culture (80% closure by 2026), and regulatory precedent (75% closure by 2027) as closing windows requiring immediate action. Recommends shifting 20-30% of resources toward closing-window interventions, with quantified timelines and uncertainty ranges for each window.",
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No external links