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

IEEE Spectrum AISilicon

I Used AI to Fake a Scientific Paper. Here’s What Happened

10.27

Science has a spam problem. And the spam filter is getting clogged up. According to all reports, academic publishing is drowning in what has come to be called AI slop: low-quality, mass-produced…

Research Peer-review Large-language-models Science Scientific-research

Read at IEEE Spectrum AI ↗

One letter a week, starting soon.

Latest

I Used AI to Fake a Scientific Paper. Here’s What Happened

Related

SiliconEdge AI for Smart Cities: From Insight to Cognitive Action IEEE Spectrum AI

SiliconLearning to Play Like a Pro: Adaptive Motion Planning and Tracking for Humanoid Robots IEEE Spectrum AI

SiliconHiPHI: A Large-Scale Benchmark for High-Precision Human Motion and Object Interaction IEEE Spectrum AI

LabsGemini Robotics Embodied Reasoning 2 is now available on Google Cloud Google Cloud AI

LabsBuild agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK AWS Machine Learning

ToolsContext Engineering (Agent Memory) for AI Agents Starts with Retrieval LangChain