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

TechNodeAsia

From No. 6 to More Than a Benchmark Story

September 18

Editor’s Note: There is no shortage of technology news, yet many promising Chinese startups still remain largely unknown to global audiences.

Research

Read at TechNode ↗

ToolsRun Terminal-Bench and other Harbor evals on Vercel Sandbox Vercel Blog

VoicesNoam Brown – Agent swarms, alignment, & recursive self-improvement Dwarkesh Podcast

SiliconBalatro fan claims they trained Google fruit fly brain simulation to beat the game — reinforcement learning currently has the model at 20% success rate Tom's Hardware AI

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From No. 6 to More Than a Benchmark Story

Related

ToolsRun Terminal-Bench and other Harbor evals on Vercel Sandbox Vercel Blog

VoicesNoam Brown – Agent swarms, alignment, & recursive self-improvement Dwarkesh Podcast

SiliconBalatro fan claims they trained Google fruit fly brain simulation to beat the game — reinforcement learning currently has the model at 20% success rate Tom's Hardware AI

SiliconTensorRT Edge-LLM Completes the MLPerf Edge Agentic Benchmark 6.4x Faster on Jetson AGX Thor NVIDIA Technical Blog

LabsImproving HCLS AI reasoning with open-source agent skills AWS Machine Learning

LabsOur framework for reporting model misalignment OpenAI News