Neon: 1,300 H200s and automated labs beat GPT-6 Astra on materials benchmark
andrew_n_carr · x · 2026-09-16
Liam Fedus describes Menlo Park high-throughput materials labs creating an experiment-model loop: labs generate fresh data, models learn and pick next experiments. With only 1,300 H200s plus months of proprietary data, mid-training and RL produced open-source Neon, surpassing GPT-6 Astra on their analysis benchmark. Andrew Carr quipped AGI is starting to feel like a harness problem.
Related event: Periodic Labs beats GPT-6 on materials science with just 1,300 H200s(41 posts)→
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