Fedus team builds material labs, trains open Neon on 1,300 H200s past GPT-6 Astra

eliebakouch · x · 2026-09-16

Liam Fedus' team built high-throughput materials labs in Menlo Park creating an experiments-models loop: labs generate fresh data, models learn and suggest next experiments. Using only 1,300 H200s plus months of proprietary experimental data, they mid-trained and RL'd an open-source model, Neon, surpassing GPT-6 Astra on their analysis benchmark. Elie Bakouch asks how much the periodic harness improves over Claude Code and Codex.

Related event: Periodic Labs' Neon Trained on 1,300 H200s Outperforms GPT-6 Astra in Materials Science(69 posts)→

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