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

InfoQ AIGitHub

AWS Introduces Strands Decider 2B and Strands Box for AI Agent Development

10.16

AWS has introduced two open-source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent workflows, and Strands Box, a sandbox for controlling…

Models & releases Agents & vibe coding Large language models Agents Typesafe AWS

Read at InfoQ AI ↗

One letter a week, starting soon.

Latest

AWS Introduces Strands Decider 2B and Strands Box for AI Agent Development

Related

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

JapanClaude Codeデスクトップアプリ、並行作業を進めやすくするセッション管理の改善を案内 gihyo.jp

DeepSeek and what enterprises should learn from AI agent exploits AI Business

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