@eladgil: https://x.com/eladgil/status/2099916017510047788
Summary
Liam Fedus describes the setup of high-throughput materials labs in Menlo Park that create a loop between experiments and AI models, using 1,300 H200 GPUs and experimental data to mid-train models for next-step decisions.
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Cached at: 09/15/26, 07:48 PM
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Liam Fedus (@LiamFedus): We built high-throughput materials labs in Menlo Park to create a loop between experiments and models. The labs generate fresh data, the models learn from it, and then help us decide what to try next.
Using only 1,300 H200s, plus months of our experimental data, we mid-trained
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