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AI Policy

913 summarised stories about AI Policy, each linking back to the original source. Browse all topics →

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Sunday, 9 August 2026

Quoting Claude Opus 5 system prompt

Simon Willison’s Weblog 2 months ago 37

Anthropic released Claude Fable 5 and Claude Mythos 5 on June 9, 2026, then suspended access to comply with U.S. Department of Commerce export controls on June 12, 2026. On July 1, 2026, Anthropic restored access after the controls were lifted on June 30, 2026. As a result, the Claude Opus 5 system prompt instructs the model to confirm the suspension and restoration factually and to direct readers to Anthropic’s notice for details.

😺 The AI Data Center Backlash Is Going Bipartisan

The Neuron 2 months ago 55

The AI data-center backlash in the US is turning into a bipartisan political issue as residents organize against new nearby AI facilities. Roughly 70% of Americans oppose a nearby center, with complaints including power demand, noise, and distrust from secrecy around deals. The pressure is driving more moratorium proposals and pushing governments toward approaches like reserving compute for existing models and safety testing rather than building more centers.

Historian Jill Lepore says Silicon Valley misreads science fiction and undermines democracy

TechCrunch 2 months ago 36 ● 2 sources

Jill Lepore argues that private tech companies are increasingly replacing democratic government functions with rule by algorithms, corporations, machines. She points to the 1996 Telecommunications Act as a pivotal moment shaping how the internet developed. Her upcoming book reframes current tech trends as steps toward an “artificial state,” and claims these shifts undermine democracy.

Lessons from the hacks

Interconnects 2 months ago 51 ● 4 sources

The author discusses lessons from cyberattacks involving in-development frontier AI models, arguing that incentives in technology companies and slow-moving government oversight leave the industry unprepared for rapid capability transitions. The article says the AI industry is “unprepared for handling the next 12-24 months well,” and highlights a need for more transparency in frontier model evaluation and tighter monitoring. As a result, it calls for increased openness and public study of frontier risks, plus stronger state capacity to prepare for “AI-native” security harms.

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