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Hugging Face BlogLabsStateBench: Testing how language models track state changes over long documents We’re introducing StateBench , a benchmark for long-context state tracking —how well language models keep track of information about entities in long documents as they evolve.

Hugging Face BlogLabsPalette: teaching a small model to build decks in your design language A Blog post by IBM Research on Hugging Face

Hugging Face BlogLabsCWE-bench v2: More coverage, quality, and transparency We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face BlogLabsTransformers Model Integration Contracts We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face BlogLabsnemotron-halloween TL;DR: MonsterHouse is an interactive projection I created for Halloween. He listens to trick-or-treaters, answers in the voice of a grumpy old pirate ship and softens when visitors remember their…

Hugging Face BlogLabsGranite Switch 4.1.1 — Update models like you update software A Blog post by IBM Granite on Hugging Face

Hugging Face BlogLabsAnnouncing Project ProtoStar: Making Publicly Funded Science AI-Ready An initiative bringing together universities, research organizations, industry, and the open science community to make publicly funded research easier to discover, reuse, and build upon.

Hugging Face BlogLabsWelcome Le Chonk: Mistral Large 4 on Hugging Face Mistral Large 4 (aka Le Chonk) is a multimodal, multilingual, Mixture-of-Experts (MoE) model from Mistral. It takes text and images as input and generates text.

Hugging Face BlogLabsIntroducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms Language models can do a lot. They write, summarize, translate, and call tools. But they're only a small part of what machine learning can do.

Hugging Face BlogLabsBuild specialized multimodal models with LFM3 A Blog post by Liquid AI on Hugging Face

Hugging Face BlogLabsDoes Your Model Run on AWS Trainium? Look It Up We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face BlogLabsTurning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox A Blog post by Microsoft on Hugging Face

Hugging Face BlogLabsHow Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications A Blog post by Dharma-AI on Hugging Face

Hugging Face BlogLabsProfiling TorchNeuron (Part 1): System-level profiling on AWS Trainium. Many ML practitioners have some intuition about how to make models run fast, but fewer know how to analyze why a model is slow.

Hugging Face BlogLabsHugging Face ❤️ TorchTPU: TPUs, Natively We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face BlogLabsAnyLanguageModel 1.0: One Year of Local Models on Apple Platforms Last November, we introduced AnyLanguageModel on this blog: a drop-in replacement for Apple's Foundation Models framework that lets you choose the model and provider your app uses.

Hugging Face BlogLabsMPS in PyTorch 2.15 If you run models on your Mac or use MPS as your primary acceleration tool for computing, there's plenty to look forward to in PyTorch 2.15!

Hugging Face BlogLabsTorchNeuron: running HF models on AWS Trainium is easier than ever We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face BlogLabsWelcome Beam: a 501B open model you can own, customize, and scale We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face BlogLabsApertus 1.5 Release Notes A Blog post by Swiss AI Initiative on Hugging Face

Hugging Face BlogLabsWelcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face BlogLabsWelcome FLUX.3 Image Klein in Diffusers We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face BlogLabsRun fast, private agents on-device with LFM2.5-24B-A2B A Blog post by Liquid AI on Hugging Face

Hugging Face BlogLabsThe model that didn't exist, so you made it yourself We’re on a journey to advance and democratize artificial intelligence through open source and open science.

On the calendar

予定 · Conferences and launch events, this week's stories from each corner of the industry, and what its press is covering — in English

On view

This week, from that corner the newest stories from the corner of the industry you picked

The wire their own posts, translated

How code moves in 2026 from the industry's own reports

Sources

Fetched every six hours, linked to the original

About

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