You'd think predicting the weather is mostly a matter of fast computation. The physical rules are well understood, so to get a better estimate use a finer mesh in your finite element computation and use a smaller time scale in estimating your differential equations.
Neural networks are notoriously bad at exact approximation. I mean you can never beat a calculator when the issue is doing calculations.
So apparently the AI found some shortcut for doing the actual computational work. That is also surprising as weather is a chaotic system. Shortcuts should not exist.
Long story short, I don't get what's going on here.
You'd think predicting the weather is mostly a matter of fast computation. The physical rules are well understood, so to get a better estimate use a finer mesh in your finite element computation and use a smaller time scale in estimating your differential equations.
Neural networks are notoriously bad at exact approximation. I mean you can never beat a calculator when the issue is doing calculations.
So apparently the AI found some shortcut for doing the actual computational work. That is also surprising as weather is a chaotic system. Shortcuts should not exist.
Long story short, I don't get what's going on here.