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 two hundred 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

Redwood ResearchResearch

Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident

08.27

We recently published the report from our brief independent investigation into this incident.

Agents & vibe coding Open weights Research

Read at Redwood Research ↗

One letter a week, starting soon.

Latest

Brief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident

Related

ResearchBrief independent investigation of agents’ behavior, reasoning and collaboration in the OpenAI / Hugging Face hacking incident METR

ToolsOpen-sourcing evals for open-weight agents Cline Blog

ResearchSOP-Bench: A new benchmark for evaluating AI agents on real business procedures Amazon Science

VoicesReconstructing how OpenAI agents attacked Hugging Face Practical AI

ResearchA new benchmark for evaluating patient-facing health AI agents Amazon Science

VoicesEvaluating Agents Beyond the First Prompt Phil Schmid