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Dario Amodei asked the industry to slow down. Within two days every major lab had said some version of yes, the White House and the Speaker of the House had said no, and nobody had signed anything. Below that argument, two quieter items: the NSA is rebuilding its org chart
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Anthropic says a weapons cell in northern Yemen ran several Claude instances at once, assigning each one a role the way a lead delegates on a small engineering team. That case sits inside a threat report its CEO cited over the weekend when he asked the whole industry to slow
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On May 11, hundreds of malicious packages landed on RubyGems, the registry every Ruby project depends on. Four months later, three researchers say they know who sent them. Researchers say the May attack on RubyGems came from OpenAI's own agents The RubyGems team paused new user registration for
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OpenAI spent this week doing two things that do not obviously belong together. It handed developers the machinery that runs its own long-lived agents, and its CEO told staff the company might be willing to slow down. OpenAI put the harness behind Codex into a public API On September 10
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A researcher at Anthropic quit on September 8 and said in public what people inside these labs usually say only in private, and within about thirty hours two institutions had answered him: OpenAI put an alignment researcher on the board committee that oversees model safety, and California's governor
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OpenAI published a proof of a ninety-year-old fluid dynamics problem yesterday, produced by roughly ten thousand agents working in parallel, and by that evening the mathematician who had been quietly attacking the same problem had posted his own account of the week leading up to the announcement. OpenAI says an
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Compute is the constraint everyone is working around this week, and there are only three moves available. Buy more of it, buy something that makes what you already have go further, or build a model small enough that the question stops mattering. Mistral raised €3 billion and pointed most of
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Two documents went up on OpenAI's site the same morning, one counting how much of its own research the company now hands to software, the other written by its chief scientist saying nobody should be moving this fast. Elsewhere the bill came due on an old fight, and
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A benchmark house rewrote its own ruler days after its numbers on the year's biggest model release were publicly doubted. GitHub decided the unit of coding quality is a workflow instead of a model, and proved it partly against a benchmark GitHub built. Two members of Congress proposed
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A machine wrote out a proof of Fermat's Last Theorem and the mathematician running the competing project recompiled it to see whether it held. A California bill on the governor's desk would require a human to look before software ends someone's job. An institute
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Nvidia is buying Hugging Face for $12.93 billion, the G20 unanimously endorsed the Carolina Principles in Chapel Hill, and Vals AI published the first independent accounting of what a long agentic task costs in carbon, water, and electricity. Three answers to the same question about who sets the terms.
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Three institutions drew a line around AI in the same twenty-four hours, and none of them drew it in the same place. Two of the largest school districts in the country pulled the technology out of their classrooms. The Justice Department went to federal court to argue the industry should