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

The New StackGitHub

Nvidia bets open models can give enterprise AI agents the context they’re missing

10.21

Every enterprise company is currently trying to figure out how to have its AI tools work with its data.

Agents & vibe coding Chips & compute

Read at The New Stack ↗

One letter a week, starting soon.

Latest

Nvidia bets open models can give enterprise AI agents the context they’re missing

Related

SiliconNVIDIA Cloud Partners Scale Across Europe — Sovereign, Open and Built for Safe AI Agents NVIDIA Blog

SiliconNVIDIA Agent Toolkit Expands, Grounding Enterprise Agents in Company Data NVIDIA Blog

SiliconInside NVIDIA Sentry: Secure AI Agents at Runtime NVIDIA Technical Blog

SiliconHow NVIDIA OpenShell Reference Architecture Secures and Governs AI Agent Workloads at Scale NVIDIA Technical Blog

SiliconNVIDIA Launches OpenShell Reference Architecture for Safe AI Agents NVIDIA Newsroom

SiliconAgentic AI Explores Heterogeneous Chip and Interconnect Architectures (Argonne, UIUC) SemiEngineering