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

llama.cpp releasesTools

b11811

10.22

kleidiai : add Q8_0 SVE dotprod GEMV and SVE i8mm GEMM kernels ( #30808 ) Website: https://llama.app Attestations: https://github.com/ggml-org/llama.cpp/attestations/58546729 macOS/iOS: macOS Apple…

Models & releases

Read at llama.cpp releases ↗

Voices[AINews] OpenAI’s Patch the Planet program is 1 of 2 parties to discover PHP2Shell vulnerabilities in core PHP affecting 70% of the web, using GPT-5.6 Sol; coordinated response over 2 months Latent Space

One letter a week, starting soon.

Latest

b11811

Related

Toolsb11810 llama.cpp releases

Toolsb11808 llama.cpp releases

Toolsb11806 llama.cpp releases

Voices[AINews] OpenAI’s Patch the Planet program is 1 of 2 parties to discover PHP2Shell vulnerabilities in core PHP affecting 70% of the web, using GPT-5.6 Sol; coordinated response over 2 months Latent Space

GitHubDeveloper Behind the AI-Built Adobe Clones Says They Are “Not Anywhere Close to Ready InfoQ AI

AsiaAnyverse Dynamics Open-Sources MWA-Phoenix, a 7B On-Device World Action Model for Robots Pandaily