Periodic's Neon, trained on just 1,300 H200s plus lab data, beats GPT-6 Astra on materials analysis
LiamFedus · x · 2026-09-16
Liam Fedus announces Periodic built high-throughput materials labs in Menlo Park creating a loop between experiments and models. Using only 1,300 H200s and months of proprietary experimental data, they mid-trained and RL'd an open-source model into "Neon," which surpasses GPT-6 Astra on their analysis benchmark. Focus: superconductors, magnets, and semiconductor materials.
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