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

SCMP TechAsia

Chinese maker of robot-vacuum sensors launches Hong Kong IPO, undeterred by US ban

September 23

Shenzhen Camsense Technologies, a maker of spatial sensors for robotic vacuum cleaners, launched a Hong Kong initial public offering (IPO) that aims to raise about HK$680 million (US$86.7 million)…

Funding & deals Regulation & safety Robotics & physical AI

Read at SCMP Tech ↗

One letter a week, in your inbox.

Latest

Chinese maker of robot-vacuum sensors launches Hong Kong IPO, undeterred by US ban

Related

SiliconWhy Deploying Physical AI at Scale Demands Safety at Every Layer NVIDIA Blog

ResearchSoftBank agrees to acquire Robotics and AI Institute The Robot Report

AsiaD-Robotics raises $400 million in Series C funding TechNode

SiliconRethinking Robot Safety in the Age of AI IEEE Spectrum AI

ResearchDigit 5 May Be the First Humanoid Robot Worker That’s Truly Safe IEEE Spectrum Robotics

VoicesBREAKING: Secret US AI evaluation framework has been partly revealed Gary Marcus