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🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing

Source
latent.space
Author
Brandon Anderson
Date
Why it matters

Scaling laws that carried language don't transfer to chaotic multi-scale physics — the data isn't there, so architecture and physical priors carry the load. FourCastNet already matches supercomputer simulations on consumer GPUs.

Terms in this piece · Glossary
  • transformer — The neural network architecture behind modern AI models, built on attention — letting every word directly consider every other word in parallel.
Read the source www.latent.space
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