Zvi (Don't Worry About the Vase)
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6 days ago
This is a newsletter digest covering AI policy, regulation, and alignment research, including commentary on the Trump administration's opposition to formal AI licensing in favor of ad hoc regulation, discussions of how long it would take superintelligent AI systems to build advanced technologies like Dyson spheres, and criticism of those underestimating current AI capabilities. The author argues that policymakers and industry figures must acknowledge existing AI capabilities (the 'AI pill'), anticipate general AI (the 'AGI pill'), and consider superintelligence risks (the 'ASI pill') to make sensible decisions. The piece suggests that claims models will commoditize are increasingly dubious given the growing gap between frontier and second-tier capabilities, and that frontier AI will likely remain valuable longer than many predict.
TLDR
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6 days ago
The AI Futures Project released Plan A, a roadmap describing how the United States and China could safely navigate advanced AI development through the 2040s. The plan's core mechanism is a joint U.S.-China regulatory regime establishing mutual control over chip supply and transparent data centers, with mutual auditors verifying compliance across 98.5% of existing AI computing hardware. Under Plan A, both countries would accelerate AI development together under shared safety constraints from the early 2030s onward, pausing at systems matching top human intelligence levels before attempting further advances.
Apple ML Research
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6 days ago
Researchers developed an adaptive stochastic policy for autonomous negotiation agents that protects behavioral privacy by preventing adversaries from inferring private constraints from observable negotiation dynamics like concession patterns and timing. The mechanism achieved a 43-50% reduction in adversarial inference accuracy while maintaining negotiation success rates and utility above 90% across 3,000 synthetic bilateral negotiations. This approach enables negotiation agents to operate with differential privacy guarantees without substantially sacrificing negotiation performance or deal completion rates.
