Liam Fedus unveils Neon: an open model beating GPT-6 Astra on materials analysis with just 1,300 H200s
sudoraohacker · x · 2026-09-16
Liam Fedus describes his team's automated materials-science loop: high-throughput labs in Menlo Park generate fresh experimental data, models learn from it, and then decide what experiments to try next.
Key numbers: using only 1,300 H200s plus months of proprietary experimental data, they mid-trained and RL'd an open-source model called Neon that surpasses GPT-6 Astra on their analysis benchmark, with real lab footage shared.
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