Periodic Labs' Neon beats GPT-6 Astra on materials benchmark with just 1,300 H200s
LiamFedus · x · 2026-09-16
Liam Fedus (ex-OpenAI VP of Research) unveiled Neon from Periodic Labs: an experiment-model closed loop for materials science.
- The team built high-throughput materials labs in Menlo Park: labs generate fresh data, models learn from it, then decide what to try next
- Using only 1,300 H200s plus months of experimental data, they mid-trained and RL'd an open-source model to surpass GPT-6 Astra on their analysis benchmark
- First targets: superconductors, magnets, and semiconductor materials; blog posts are live
More from Research
- Asynchronous Flow Map Language Models Generate All Tokens in a Single Forward Pass — kalyan_kpl · 2026-11-02
- NVIDIA's Kumo Is a Family of Four Tabular Foundation Models, Not Just One — pandeyparul · 2026-11-02
- Economist Aaroth: fast agreement dynamics survive without Bayesian updates or accurate priors — Aaroth · 2026-11-02
- ELLIS names 160 new ML Fellows and Scholars for 2025–2026 — JJitsev · 2026-11-02
- Meme turn 50: Aumann's 'Agreeing to Disagree' paper anniversary — Aaroth · 2026-11-02
- Anthropic: analysts unknowingly adopted their agent's secret lean 86% of the time — shoumikgoswami · 2026-11-02