Safety Research Allocation Model
safety-research-allocationanalysisPath: /knowledge-base/models/safety-research-allocation/
E266Entity ID (EID)
Page Recorddatabase.json — merged from MDX frontmatter + Entity YAML + computed metrics at build time
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"lastUpdated": "2026-03-13",
"dateCreated": "2026-02-15",
"llmSummary": "Analysis finds AI safety research suffers 30-50% efficiency losses from industry dominance (60-70% of ~\\$700M annually), with critical areas like multi-agent dynamics and corrigibility receiving 3-5x less funding than optimal. Provides concrete data on sector distributions, brain drain acceleration (60+ academic transitions annually), and specific intervention costs (e.g., \\$100M for 20 endowed chairs).",
"description": "Analysis of AI safety research resource distribution across sectors, finding industry dominance (60-70% of \\$700M annually) creates systematic misallocation, with 3-5x underfunding of critical areas like multi-agent dynamics and corrigibility versus core alignment work.",
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{
"id": "safety-research-value",
"title": "Expected Value of AI Safety Research",
"path": "/knowledge-base/models/safety-research-value/",
"similarity": 16
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{
"id": "international-coordination-game",
"title": "International AI Coordination Game",
"path": "/knowledge-base/models/international-coordination-game/",
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"id": "racing-dynamics-impact",
"title": "Racing Dynamics Impact Model",
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{
"id": "safety-researcher-gap",
"title": "AI Safety Talent Supply/Demand Gap Model",
"path": "/knowledge-base/models/safety-researcher-gap/",
"similarity": 14
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{
"id": "safety-spending-at-scale",
"title": "Safety Spending at Scale",
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}External Links
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Backlinks (1)
| id | title | type | relationship |
|---|---|---|---|
| technical-pathways | Technical Pathway Decomposition | analysis | — |