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AI/ML's bitter lesson [1] applies again. In this case, the AI model may have learned a more practical model than the one human researchers painstakingly came up with by applying piles and piles of physics research.

[1] http://www.incompleteideas.net/IncIdeas/BitterLesson.html



Hardly. They trained on the output of numerical simulations, so it's basically a method for summarizing approximate dynamics of numerical simulations themselves.


That’s only superficially similar to ai’s bitter lesson. The bitter lesson is about methods to achieve results in AI, not about comparing AI methods to non-AI methods.


> by applying piles and piles of physics research.

You mean by remembering piles and piles of example data and interpolating between it.




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