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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
Shape of the Next Decade
An automated policy can be stopped in a day. Repairing its decisions may take an institution years.
daily
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
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Two labs looked at cyber-capable models on September 1 and reached opposite conclusions. Anthropic decided its newest model was safe enough to go looking for software vulnerabilities and loosened the guardrails accordingly. OpenAI decided its next model was so good at that same work it would not ship the capability
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Three institutions spent this week writing down what they actually know about the AI systems they are responsible for. Brussels sent letters demanding answers, Anthropic published a month of repairs to its own testing setup, and the Pentagon put two chatbots in front of three million people. Only one of