The traditional model of science is simple: form a hypothesis,

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The traditional model of science is simple: form a hypothesis, run the experiment, and watch it succeed or fail. @ekindogus, cofounder of @periodiclabs, thinks existing LLMs can't do this yet. Science exists to push past the edge of what we already know, which means it can never fully rely on what we already know. So how have humans managed it? They wrote a theory, ran experiments, got yelled at by reviewers, and updated it. "That's where we're basically trying to make progress," Doğuş told…

Mario Gabriele@mariogabrieleSep 29

"A system that can literally engineer matter is going to be of key importance to everybody." @LiamFedus and @ekindogus are the co-founders of @periodiclabs, a San Francisco-based startup building AI systems and autonomous laboratories to discover new materials, starting with a higher-temperature superconductor. Fedus previously helped build ChatGPT and ran post-training at OpenAI; Cubuk led materials and chemistry research at Google DeepMind. (3:14) What it takes to build a synthetic superintelligence (16:44) Dogus and Liam's path to AI (23:28) Lessons from launching ChatGPT (35:10) What AI learns across experiments (49:23) The difference in LLM performance on math vs. science (54:09) The competitive landscape (55:39) Final meditations

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