Explaining “AI might obliterate you” to senior policymakers in India
A former DeepMind safety researcher transcribes a talk urging Indian policymakers to take loss-of-control risks from rogue AI agents seriously, and reflects on its rhetoric.
Discussion and research on AI alignment. alignmentforum.org
A former DeepMind safety researcher transcribes a talk urging Indian policymakers to take loss-of-control risks from rogue AI agents seriously, and reflects on its rhetoric.
Analyzes whether inference-verification measures like bandwidth limits, memory wipes and proof of work could let governments quickly slow AI training, concluding current prototypes are likely ineffective but some measures might buy time.
Argues that draconian compute controls meant to slow AI risk could enable authoritarian lock-in and may raise catastrophic risk, and that export controls and KYC rules carry costs that must be weighed.
Presents the Superintelligence Strategy framework proposing Mutual Assured AI Malfunction deterrence, nonproliferation via compute security, and national competitiveness measures to manage catastrophic superintelligence risks.