Periodic Labs post-trains on real experiment data, beats GPT-6 Astra on XRD analysis
The materials science company runs reinforcement learning directly on real experimental data, beating Astra on X-ray diffraction analysis and improving Kimi K2.6 performance 20x.
Periodic Labs is doing extremely cool work applying frontier AI research to materials science. Here they post-train a model for a X-ray diffraction analysis, beating GPT-6 Astra and boosting performance of Kimi K2.6 by 20x! What's worth noting here is Periodic is doing RL directly with real-world experimental data, which comes with many unique challenges over coding/knowledge-work environments.
This post quotes another post: “OpenAI trains Neon materials model on 1,300 H200s, beating GPT-6 Astra on its own benchmark”