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

Nikkei Asia TechnologyJapan

Memory chip makers outearn Alphabet, other tech giants on AI demand

11.01

Kioxia, Samsung reap benefits of spending surge, but investors start to doubt staying power

Chips & compute

Read at Nikkei Asia Technology ↗

One letter a week, starting soon.

Latest

Memory chip makers outearn Alphabet, other tech giants on AI demand

Related

JapanNVIDIA、音声の文字起こし・翻訳を行うAIモデル「Nemotron 3.5 Transcribe」を公開 gihyo.jp

JapanOracle CloudがGoogle TPU導入を発表、2027年に提供を開始。Oracle AI World 2026 Publickey

JapanAWSとGoogle Cloudが「PyTorch」のAWS Trainium、Google Cloud TPU対応版をオープンソースで公開。NVIDIAからの移行に挑む Publickey

LabsSmaller apps and faster GPU inference with LiteRT in Google Play services Google Developers Blog

LabsAnnouncing New vLLM and SGLang Inference Engines on TPU Google Developers Blog

LabsIntegrating TorchTPU into TorchTitan and Optimizing Models for TPU Google Developers Blog