[d0mine]

Why do you think systems of partial differential equations (common in physics) are somehow provide more understanding than the corresponding ML math (at the end of the day both can produce results using a lots of matrix multiplications).

[drdeca]

... because people understand things about what is described when dealing with such systems in physics, and people don't understand how the weights in ML learned NNs produce the overall behavior? (For one thing, the number of parameters is much greater with the NNs)

[d0mine]

Looking at Navier-Stokes equations tells you very little about the weather tomorrow.

[drdeca]

Sure. It does tell you things about fluids though.