Savlar4 sources healthy · latest episode 21 Oct 2026
Speaker

Liam Fedus

Guest on Latent Space: The AI Engineer Podcast. 149 claims across 1 episode, Oct 2026.

149claims, each timestamped
1 of 12signals on the brief
0verified changes of mind
14open predictions

Positions over time

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Predictions

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ExpectsBySaidStatus
Reasoning strategies reinforced after a model reaches the right answer without carrying out the actual calculation or simulation will not generalize to novel systems and will therefore not be useful. no date given8 Oct 2026pending
Periodic’s future will not consist of only one lab. no date given8 Oct 2026pending
Robots may make fewer mistakes in laboratory work. no date given8 Oct 2026pending
The speaker expects that encoding physical-science knowledge in the team's model weights, given differences between physical sciences and machine learning, will produce different types of systems and capabilities. no date given8 Oct 2026pending
Room-temperature superconductivity will not be achieved through zero-shot prediction alone. no date given8 Oct 2026pending
The speaker expects theoretical physics to be the next area of work. no date given8 Oct 2026pending
Periodic Labs believes its resources will allow it to significantly expand its labs and increase compute for both AI and computational work. no date given8 Oct 2026pending
Periodic Labs plans to expand to new lab types and repeat its process after validating it in its initial Menlo Park labs. no date given8 Oct 2026pending
Periodic Labs plans to place forward-deployed engineers and researchers at partner sites to integrate AI and computational systems, helping partners reach their goals faster. no date given8 Oct 2026pending
Periodic Labs’ forward-deployed engineers will perform local inference and will be able to train AI systems using partner data. no date given8 Oct 2026pending
Periodic Labs says it can specialize its systems on partner data, enabling partners to own tailored intelligence rather than rely on a generic API or untrained model. no date given8 Oct 2026pending
Periodic Labs believes AI systems could similarly accelerate the work of researchers, material scientists, materials engineers, and process engineers. no date given8 Oct 2026pending
Increasing autonomy, intelligence, and capability could enable outcome-based pricing. no date given8 Oct 2026pending
Periodic Labs aims to reproduce in the physical world the mutually reinforcing relationship between technology, capital, and resources described by the speaker. no date given8 Oct 2026pending

Appearances

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