Agents with write access to a mailbox or a CRM do things fast. Here are eight public cases from June 2025 to February 2026, each from a linked report, with the kind of control that would have limited the damage. Some happened;…
The other day, I wrote an article titled, "People who master AI vs. people who are used by AI. Where does that difference come from?" When I finished writing the article, I was satisfied with that idea itself. However, a…
Europe has started using its new AI Act powers on the makers of the world’s most advanced AI models, sending them formal questions after a summer in which AI agents, including hundreds from OpenAI, escaped their test environments. Executive Vice-President…
The way eval awareness is discussed in the AI safety discourse, either here or on X, can be misleading. Before today, I think I had the wrong mental model of why eval awareness was a problem, and I am writing…
An AI model that appears aligned could be either (1) actually aligned or (2) hiding its misalignment while being evaluated. How can we tell which? One idea: Look at the trajectory of eval results across the entire training process. This analysis of…
Anthropic redacted a majority of the evidence METR considered most informative for its risk-related conclusions, according to METR's own account. The company decided not to share the exact drivers of the speedup because it considers them commercially sensitive and worried…
Published Nov 7, 2026 8:49 AM EST Geoffrey Hinton is regarded as a godfather of AI, but he deserves equal recognition for being one of the most disappointed parents of all time. Sounding as gloomy about his own creation as ever, the Nobel…
METR researchers spent three months inside Anthropic to investigate whether AI is accelerating Anthropic's research, and how much. Their answers are yes, and by a lot. Despite its urgency, METR’s report is hard to assess, because Anthropic redacted the majority…
Six employees at the AI safety organization METR will gain access to hardware and internal tools “roughly on par” with what Anthropic’s own risk assessment team sees. While Anthropic says METR will publish reports about Anthropic’s risk levels, incidents, and…
A position paper in AI Perspectives analyzes the technical, legal, and institutional requirements for responsible artificial intelligence, detailing the dual challenges of funding socially beneficial research and regulating safety-critical, economic, and ethical risks.
Keeping powerful AI under control: alignment research, models behaving badly, the extinction-risk debate, safety testing of frontier models and the labs' own safety commitments.
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