himanshu
@himanshustwts
cofounder @PhyseraAI • host @groundzero_twt • DMs open!
加入 April 2022
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"through mid-training and reinforcement learning on our lab data, neon establishes a pareto-optimal cost-performance frontier."
the beautiful blend of chemical science, mechanical systems and intelligence is achieved.
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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 and RL’d an open-source model to surpass GPT-6 Astra on our analysis benchmark. We call it Neon.
This is real footage from our lab. We’re focusing first on hard problems in materials science, including superconductors, magnets, and semiconductor materials.
Read our blog posts below.
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