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 Hardware AISilicon

ASML struggling to keep up with demand for chipmaking equipment as AI spending continues to boom

10.15

ASML has said that the unprecedented spending and investment brought about by the artificial intelligence (AI) boom is not slowing down at all, as customers are already lining up to place orders for…

Chips & compute

Read at Tom's Hardware AI ↗

One letter a week, starting soon.

Latest

ASML struggling to keep up with demand for chipmaking equipment as AI spending continues to boom

Related

SiliconApple researchers turn idle Macs into a virtual GPU cloud with ‘Minions’ Tom's Hardware AI

SiliconAnthropic warns of self-replicating AI worm threat that doesn't need data centers to self-improve and spread Tom's Hardware AI

ToolsDay 0 support for Muse Spark Open on vLLM vLLM Blog

ToolsAnnouncing Day 0 Support for NVIDIA Nemotron 3.5 Super VL on vLLM vLLM Blog

VoicesLab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio Latent Space

SiliconOptimizing Agent Reliability and Tool Calling Efficiency for Chip Design Using NVIDIA NeMo Gym NVIDIA Technical Blog