The name is the button.

An agent writes the code now, and a human thumb hovers over Accept all a hundred times a day. The honest question of this decade is what, exactly, you just accepted. So I read the diff.

Eight years as a backend engineer in Stockholm, back in Tokyo since 2023, and I still ship something small most nights, usually badly. My one rule: the only real review of a model is the thing you built with it. That is why there is no leaderboard on this site.

Around a hundred and forty sources come through — the labs' own posts, the papers, the tools, the runtimes and languages nobody is watching yet, the chip under the demo, and the newsletters people actually forward. What is moving gets counted so the week reads at a glance, and every few days I explain one mechanism in plain words.

A story here is a headline, a short excerpt, one image and the link to whoever wrote it. We never reproduce the post; the images belong to their authors. A post written in Japanese appears in Japanese, exactly as it was published, and the link goes to the original.

— Yuki Halvorsen, Tokyo

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TechCrunch AIValley

Base Labs launches an open-weight AI safety partnership with Hugging Face and Goodfire

September 17

Base Labs, the research group Baseten spun up earlier this year, will develop and publish methods for training and monitoring open models.

Open weights Funding & deals Regulation & safety

Read at TechCrunch AI ↗

SiliconInvestigation details how billions' worth of export-restricted Nvidia AI chips are sold to China — report details how Chinese firms skirt Trump's regulations Tom's Hardware

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