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

Hugging Face BlogLabs

TorchNeuron: running HF models on AWS Trainium is easier than ever

10.19

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Read at Hugging Face Blog ↗

One letter a week, starting soon.

Latest

TorchNeuron: running HF models on AWS Trainium is easier than ever

More from Hugging Face Blog on Accept All

LabsScaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline Hugging Face Blog

LabsWelcome Beam: a 501B open model you can own, customize, and scale Hugging Face Blog

LabsGranite Switch 4.1: Chat, Decisions, and Speech from One Endpoint Hugging Face Blog

LabsApertus 1.5 Release Notes Hugging Face Blog

LabsWelcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta Hugging Face Blog

LabsWelcome FLUX.3 Image Klein in Diffusers Hugging Face Blog