NVIDIA and Stanford Challenge Jev With CLM, a System 1 Architecture Up to 9x Faster
wschroll · x · 2026-09-26
NVIDIA and Stanford released the Contrastive Language Model (CLM), a System 1 architecture running up to 9x faster for small repeated decisions. The post also catalogs the wild Jev ecosystem: a live-trading bot deciding per 300ms Monad block (1.9k stars), a browser agent where Jev picks every click (16.7k stars), and a Chocolate Doom agent making tactical calls each frame.
More from coding & agent
- Anthropic engineer: Claude Tag writes >50% of my PRs every day — bcherny · 2026-09-26
- Cline Desktop adds SSH support: agent runs on remote machines, UI stays local — cpaik · 2026-09-26
- Nautilo: open-source multi-user platform where humans and AI agents share one terminal session — Dan_Jeffries1 · 2026-09-26
- Dev builds 8 Astra skills automating the full creator-marketing pipeline, end to end — alexgoughcooper · 2026-09-26
- Reddit Asks: What's the Worst Thing Your Coding Agent Has Actually Done? — radim11 · 2026-09-26
- One-Day Game Built With Opus 5.5 Stirs Skepticism, Author Promises to Open-Source — tadanada · 2026-09-26