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A doorbell, a published biology paper, and a datacenter's connection to the power grid each picked up a new set of rules this week about what software may do with them. In all three cases the rules were written by the people building the software, not by anyone
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Three items today about the gap between what an AI system is supposed to do and whoever is left checking that it did. A voice model that keeps talking while it works, a payment code being drafted for care delivered without a doctor, and a startup that thinks the answer
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The model is the part everyone looks at. Three items today are about everything else: the contractors who read your prompts and score the answers, the credit-assignment machinery underneath the training loop, and the scheduler that turns a model on your desk into something that works while you are asleep.
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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