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

The New StackGitHub

GPT-6.1 Terra vs. Claude Opus 5.5: Cheaper and faster in three tests at max effort

10.31

OpenAI launched GPT-6.1 Terra on October 26, and included two direct comparisons with Opus 5.5 in its marketing materials.

Models & releases

Read at The New Stack ↗

GitHubAnthropic just removed one of Claude’s biggest usage limits — but not for everyone The New Stack

GitHubGPT-6.1 Terra vs. GPT-6 Astra: One sacrifices accuracy for lower cost and higher speed at high effort The New Stack

GitHubMistral’s Large 4 open weights arrive with a 1-point coding lead over GLM-5.3: “There’s nothing you can’t do with this model that you can do with competitors.” The New Stack

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Latest

GPT-6.1 Terra vs. Claude Opus 5.5: Cheaper and faster in three tests at max effort

Related

GitHubAnthropic just removed one of Claude’s biggest usage limits — but not for everyone The New Stack

GitHubGPT-6.1 Terra vs. GPT-6 Astra: One sacrifices accuracy for lower cost and higher speed at high effort The New Stack

GitHubMistral’s Large 4 open weights arrive with a 1-point coding lead over GLM-5.3: “There’s nothing you can’t do with this model that you can do with competitors.” The New Stack

GitHub“Urgency is an inherently subjective call”: Anthropic tells TNS how it grades Claude Duet The New Stack

SiliconAnthropic's Claude AI blocks video game cloning and reverse-engineering Tom's Hardware AI

SiliconAI agent used to perform controversial brain surgery on a mouse, Anthropic Sonnet controlled motorized surgery rig Tom's Hardware AI