We simply can't mechanically derive the underlying model strictly from facts. No amount of computation that transforms facts into other facts can reach the deep

We simply can't mechanically derive the underlying model strictly from facts. No amount of computation that transforms facts into other facts can reach the deeper layer of the truth. There's simply no logical nor mathematical connection b/w the phenomenon on the surface and models that can describe it concisely. The modern AI models can successfully fit to various phenomenon, including even some chaotic ones, but they never can describe the phenomenon in truthful and concise ways. The modern AI strategy will need billions of parameters to unreliably predict a chaotic system that can be cleanly simulated w/ thousands of variables. Reducing the complexity from billions to thousands is a huge leap that can't be derived logically nor mathematically only from the observed facts.