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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Tech.euEurope

Open AI closes the gap as Europe bets on sovereignty and infrastructure

September 18

Mozilla’s latest State of Open Source AI report argues that open-source and open-weight AI have moved beyond experimentation and become a significant part of the global AI ecosystem, driven by…

Open weights

Read at Tech.eu ↗

GitHubOpen-weight models now handle a majority of tokens on Vercel’s AI Gateway. But Anthropic still takes 64% of the spend. The New Stack

ToolsOpen-weight models take 56% of token volume, Astra doubles Fable 5.1 spend Vercel Blog

LabsImproving HCLS AI reasoning with open-source agent skills AWS Machine Learning

SiliconChina's open-weight AI models are now just 4 months behind frontier US offerings, Mozilla report claims — models still lag in some benchmarks but are drastically cheaper to use Tom's Hardware AI

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Open AI closes the gap as Europe bets on sovereignty and infrastructure

Related

GitHubOpen-weight models now handle a majority of tokens on Vercel’s AI Gateway. But Anthropic still takes 64% of the spend. The New Stack

ToolsOpen-weight models take 56% of token volume, Astra doubles Fable 5.1 spend Vercel Blog

LabsImproving HCLS AI reasoning with open-source agent skills AWS Machine Learning

SiliconChina's open-weight AI models are now just 4 months behind frontier US offerings, Mozilla report claims — models still lag in some benchmarks but are drastically cheaper to use Tom's Hardware AI

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