MAIM (Mutually Assured AI Malfunction)

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  "title": "MAIM (Mutually Assured AI Malfunction)",
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  "llmSummary": "MAIM (Mutually Assured AI Malfunction) is a deterrence framework introduced in the 2025 paper 'Superintelligence Strategy' by Dan Hendrycks (CAIS), Eric Schmidt, and Alexandr Wang. It proposes that rival states will naturally deter each other from pursuing unilateral AI dominance because destabilizing AI projects can be sabotaged through an escalation ladder ranging from espionage to kinetic strikes on datacenters. Critics from MIRI, RAND, and IAPS have raised concerns about observability challenges, unclear red lines, escalation risks, and the fundamental disanalogies between AI deterrence and nuclear MAD. Proponents argue MAIM describes the existing strategic reality and can serve as scaffolding for international cooperation and verification regimes.",
  "description": "A deterrence framework proposed by Dan Hendrycks, Eric Schmidt, and Alexandr Wang in which rival states prevent unilateral AI dominance through the credible threat of sabotaging each other's destabilizing AI projects, analogous to nuclear Mutually Assured Destruction (MAD). Part of the broader Superintelligence Strategy paper (2025) alongside nonproliferation and competitiveness pillars.",
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