919 summarised stories about AI Policy, each linking back to the original source. Browse all topics →
CSET Georgetown 3 months ago 29
Helen Toner discussed U.S.-China AI competition at the 2026 Aspen Ideas Festival alongside other technology strategists and policy experts. The panel examined the strengths and weaknesses in how both countries approach AI development and deployment. The conversation explored different perspectives on the competitive dynamics shaping the global AI landscape.
Zvi (Don't Worry About the Vase) 3 months ago 18 ● 3 sources
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.
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26 October 2026
Most companies still aren’t seeing the money from AI—and today’s reporting put that in plain business terms. Apollo Global Management’s analysis found that for the S&P 493, revenue per worker has stayed around $550,000 since 2019, while only the biggest, most AI-linked tech firms show clearer financial benefits. The implication is already changing budgets: AI spending is getting framed less as an engine and more as a cost center, with executives demanding tighter return narratives before signing off on new projects.
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