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

In AI security, there’s no room for a defender’s mindset

October 1

In June, the Five Eyes intelligence alliance issued a rare joint statement . Frontier AI models, they warned, are “anticipated to exceed current industry expectations, fundamentally transforming both…

Read at The New Stack ↗

One letter a week, in your inbox.

Latest

In AI security, there’s no room for a defender’s mindset

More from The New Stack on Accept All

GitHubAI coding agents leaked 13,000 screenshots, and nobody hacked them. The New Stack

GitHubAI agents speed up development — data access slows them down The New Stack

GitHubGemini 4 Argon is here: It’s great, and you can’t have it yet The New Stack

GitHubCohere’s faster query model barely dents retrieval quality in its tests The New Stack

GitHubCloudBees just committed to an AI-first pivot. Here’s why it matters for enterprise DevOps teams The New Stack

GitHubOpenAI’s Dots boundary problem rate doubled in longer tests The New Stack