Periodic's Neon: 1,300 H200s and RL beat GPT-6 Astra on materials analysis
LiamFedus · x · 2026-09-16
Liam Fedus detailed Periodic's materials-science push: high-throughput labs in Menlo Park create a loop between experiments and models. Using just 1,300 H200s and months of experimental data, an open-source model was mid-trained and RL'd into Neon, surpassing GPT-6 Astra on their analysis benchmark. Focus: superconductors, magnets, and semiconductors.
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