Liam Fedus, OpenAI's former VP of Post-Training, unveiled Periodic Labs' blueprint for an "AI Foundation Lab for Atoms" in a conversation on the No Priors podcast, arguing that scaling laws must expand from digital code to physical matter. Fedus said AGI should be reframed as a non-scalar, domain-bound architecture and pointed to noisy scientific literature as a pitfall for AI-driven science.
In a landmark conversation on No Priors, OpenAI's former VP of Post-Training Liam Fedus unveils Periodic Labs' blueprint for an AI Foundation Lab for Atoms. Fedus details why scaling laws must expand from digital code to physical matter, exposes the pitfalls of noisy scientific literature, and reframes AGI as a non-scalar, domain-bound architecture.
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