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

Sam Altman almost scrapped token pricing. Here’s why he backed off.

10.29

OpenAI considered dropping token-based pricing for its next model , letting developers submit a prompt and receive a price for the work, before negative customer feedback convinced the company to…

Read at The New Stack ↗

More from The New Stack on Accept All

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

One letter a week, starting soon.

Latest

Sam Altman almost scrapped token pricing. Here’s why he backed off.

More from The New Stack on Accept All

GitHubAWS’s Hydro team wants the compiler to catch coding agents’ mistakes The New Stack

GitHubMicrosoft’s new Copilot harness makes agents easy — until you want to switch The New Stack

GitHubWhy MCP servers should tell agents what to do next 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

GitHubAWS Elastic Beanstalk for regulated workloads: Built for the next decade, not just the first deploy The New Stack

GitHub“I don’t think the world needs a new GitHub”: What GitHub’s leaders really think about their new rivals The New Stack