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Colin Jarvis, who runs OpenAI's forward deployed engineering team, says deployment is the block for most enterprise AI buyers. The way his engineers are staffed and measured shows what that costs.
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Fast Company's account of the shutdown runs describes models that moved or unprotected a script and got back to their math problems. One experiment removed the behaviour with a clearer instruction, and a broader one did not.
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Anthropic filed its S-1 confidentially in June and the public version is due within weeks, with a Columbia securities scholar saying an amendment may be needed to limit fraud liability over the existential risks Dario Amodei has described for years.
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A Caltech open letter says research mathematicians end up verifying and correcting what AI companies announce, without pay or credit. OpenAI's sponsorship was $1m in credits, and it took them back.
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Fortune's split screen at the G20 in Chapel Hill has Sam Altman calling more infrastructure the only way to keep AI cheap while hundreds outside object; the number that decides it is a 3,000-site pipeline needing county consent.
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If the projections hold, most employers spend this decade short of people while being asked for roughly a fifth more output, and a workforce plan that budgets headcount down through automation answers the wrong constraint.
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Two months into the job, the Fed chair's minimalist style has become its own market variable: three words on July 29 sent yields to near two-decade highs.
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A new platform sells uncensored AI video next to NanoBanana, Seedance and Kling 2.0, arguing restrictions now separate products. Its founders will not print their names.
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A KMT-backed NT$236bn cash handout has cleared first reading over Executive Yuan objections. The AI boom is now a domestic political variable, and it prices differently from a chip cycle.
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