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

Tech in AsiaAsia

Apollo Research flags potential AI safety risk in Z.ai model

October 16

Z.ai describes GLM-5.3 as a model for coding and cyber-related tasks, offered through its API.

Regulation & safety

Read at Tech in Asia ↗

One letter a week, starting soon.

Latest

Apollo Research flags potential AI safety risk in Z.ai model

Related

AsiaPing An Digital Bank tests AI to detect deepfake fraud Tech in Asia

ValleyIBM ties intelligent operations to agent safety and business value SiliconANGLE

GitHubThe permission you denied today is your safety net for tomorrow The New Stack

AsiaZ.ai’s GLM-5.3 raises researcher fears the Chinese model can fake AI safety tests SCMP Tech

VoicesCrossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents Latent Space

VoicesThe Safety Culture at the Labs is Broken Zvi Mowshowitz