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

Tom's HardwareSilicon

Reddit’s r/opensource bans AI-made and AI-focused projects, also bans non-English speakers

10.26

Reddit communities are increasingly tightening their rules around artificial intelligence, with some restricting AI-generated submissions and others limiting discussions about the technology.

Open weights

Read at Tom's Hardware ↗

One letter a week, starting soon.

Latest

Reddit’s r/opensource bans AI-made and AI-focused projects, also bans non-English speakers

Related

SiliconDenmark’s bid to ditch Microsoft Office for open-source alternative Collabora collapses in under six months Tom's Hardware

AsiaBOSS Zhipin's Nanbeige Team Open-Sources Nanbeige4.3-33B, a 512K-Context Agentic Coding Model Pandaily

AsiaWeapon or armour? The contentious debate over China’s open-weight AI SCMP Tech

GitHubIBM CEO says open weight models are now good and cheap on-prem Hacker News (front)

GitHubPyTorch Conference 2026: Google and Meta Open-Source TorchTPU for Native PyTorch on TPUs InfoQ AI

GitHubGoogle ML Drift Accelerates On-Device AI Inference Across Diverse GPUs InfoQ AI