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

TLDR AIVoices

OpenAI nears $1.25T 💰, ☁️, 1Password for Agents 🔑, Gemini 3.5 Pro postmortem 🤖

10.23

OpenAI is closing in on a funding round that could value it at more than $1 trillion. 1Password introduced a platform that lets AI agents authenticate to…

Models & releases Agents & vibe coding

Read at TLDR AI ↗

One letter a week, starting soon.

Latest

OpenAI nears $1.25T 💰, ☁️, 1Password for Agents 🔑, Gemini 3.5 Pro postmortem 🤖

Related

VoicesClaude Mods: Flipping the Harness Inside Out Latent Space

LabsIntroducing Gemini for government services Google Cloud AI

SiliconNVIDIA Nemotron 3.5 Super VL Powers Specialized Agents with Multimodal Reasoning NVIDIA Technical Blog

SiliconScale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72 NVIDIA Technical Blog

LabsWhat the Gemini agent means for startups Google Cloud AI

ToolsFinish RL Training Faster: Bitwise-Consistent, High-Performance, Agent-Driven vLLM Blog