AI Misuse Risk Cruxes

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  "summary": "Comprehensive analysis of AI misuse cruxes with quantified evidence across bioweapons (RAND bio study found no significant difference; novice uplift studies show modest gains on in silico tasks), cyber (CTF scores improved 27%→76%; state actors confirmed using AI for lateral movement), disinformation (8M deepfakes projected 2025; human detection at 24.5%), agentic/prompt injection risks (new vector), and open-weight model worst-case analysis. Covers preparedness frameworks, instruction hierarchy improvements, and the commercial-pressure erosion problem. Framework maps uncertainties to policy responses with probability ranges.",
  "description": "Key uncertainties that determine views on AI misuse risks, including capability uplift, offense-defense balance, agentic misuse vectors, open-weight model risks, and mitigation effectiveness across bioweapons, cyberweapons, disinformation, and autonomous systems",
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