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

LangChainTools

The Reliability Layer for Healthcare AI: Common LangSmith Use Cases

September 22

See how LangSmith helps healthcare AI teams turn clinical review into reusable evaluators, datasets, and release gates for safer AI in production.

Read at LangChain ↗

One letter a week, in your inbox.

Latest

The Reliability Layer for Healthcare AI: Common LangSmith Use Cases

More from LangChain on Accept All

ToolsJev is now available in LangSmith Evals LangChain

ToolsCan Jev Be a Better Agent Evaluator? LangChain

ToolsHow Included Health Built Federated Healthcare Agents with LangGraph and Deep Agents LangChain

ToolsBuilding an Agent Harness for Life Sciences: Introducing Deep Life Sci LangChain

ToolsScaling Agents in Healthcare & Life Sciences: Lessons from Madrigal Pharmaceuticals, Abridge, and Vizient LangChain

ToolsHow We Built LangChain’s Paid Media Agent LangChain