William Gilpin

@wgilpin0 • 5,505 subscribers

asst prof @UTAustin physics interested in chaos, fluids, & biophysics.

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$Our group discovered that reasoning models produce fractals when asked to solve hard problems. We can use nonlinear dynamics to probe the thinking processes of recurrent depth models on Sudoku, mathematics, and even ARC-AGI (1/N)$

Our group discovered that reasoning models produce fractals when asked to solve hard problems. We can use nonlinear dynamics to probe the thinking processes of recurrent depth models on Sudoku, mathematics, and even ARC-AGI (1/N)

461,739 views

In biology we measure downstream variables like genes, neurons, or species. But we can’t always measure their underlying causes. In Physical Review X I present a physics-based algorithm for learning causal drivers from time series (1/n)

73,241 views

How do time series foundation models forecast unseen dynamical systems? In new experiments, we find that small transformers learn to approximate transfer operators in-context. (1/N)

29,877 views

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The second year of my fully open-source graduate computational physics course is now underway NaturalSciences @ UT Oden Institute We invite students anywhere in the world to participate. Mods/Issues/PRs on GitHub welcome! (vid: condensate forms in turbulence)

William Gilpin

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William Gilpin

Shorts

Our group discovered that reasoning models produce fractals when asked to solve hard problems. We can use nonlinear dynamics to probe the thinking processes of recurrent depth models on Sudoku, mathematics, and even ARC-AGI (1/N)

In biology we measure downstream variables like genes, neurons, or species. But we can’t always measure their underlying causes. In Physical Review X I present a physics-based algorithm for learning causal drivers from time series (1/n)

How do time series foundation models forecast unseen dynamical systems? In new experiments, we find that small transformers learn to approximate transfer operators in-context. (1/N)

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Watch Anya Live

The second year of my fully open-source graduate computational physics course is now underway NaturalSciences @ UT Oden Institute We invite students anywhere in the world to participate. Mods/Issues/PRs on GitHub welcome! (vid: condensate forms in turbulence)