[wnkrshm]

While the methods are very interesting, I often wonder about assumptions about what can be modeled. We already know that it's not possible to correctly predict an arbitrary nonlinear system numerically (since that system could be chaotic).

It's one of the reasons why for specific problems, heuristics or statistics are way better than any attempt at nonlinear modeling / ML prediction (e.g. highly accurate climate models vs. struggling weather models).