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

This monster RTX 5090 Alienware gaming PC costs less than buying the GPU and CPU alone

October 7

Nvidia's RTX 5090 now costs $7,000. Or so near to it that it makes no difference. So if you were hoping to buy one in the quest to build a PC, you're out of luck.

Chips & compute

Read at Tom's Hardware ↗

One letter a week, in your inbox.

Latest

This monster RTX 5090 Alienware gaming PC costs less than buying the GPU and CPU alone

Related

AsiaShanghai AI Lab Open-Sources Intern-Decision, Small Models That Output Decisions, Not Text Pandaily

SiliconThermal Complexity Grows With AI Chips And Photonics SemiEngineering

AsiaQuanfluence Raises $10 Mn To Build Full-Stack Photonic Quantum Computer Inc42

AsiaKT Cloud to build 50MW AI data center in South Korea Tech in Asia

AsiaBAQIS and CAS Physics Ship 2000 uW Modular Dilution Fridge Below 10 mK for Quantum Chips Pandaily

ValleyGoogle goes nuclear to power its AI data centers, committing to buy 890 megawatts of energy from Constellation SiliconANGLE