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

← Accept All Archive

TechCrunch AIValley

Vals, backed by Andreessen Horowitz, is looking to become the gold standard for AI benchmarking

September 19

Vals AI is hoping to make AI benchmarking a more neutral and trustworthy resource in a world increasingly inundated by AI models.

Research

Read at TechCrunch AI ↗

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SiliconAMD targets Nvidia with first official benchmarks for EPYC 'Venice' CPUs — company claims 256-core chip is more than twice as fast as Nvidia Vera, 96-core model 20% faster per-core Tom's Hardware

SiliconBenchmarking LLM Inference at Scale with AIPerf NVIDIA Technical Blog

AsiaXiaomi livestreams MiMo-V2.6 reinforcement-learning runs TechNode

SiliconUS frontier AI companies warn authorities over sophisticated distillation attacks — China warns of 'countermeasures' if America tries to constrain domestic AI models Tom's Hardware AI

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