Yes, better models and more refinement, and yet they still lack common sense. Computers (computational statistical models, ML included) are very good interpolators, even moreso in higher dimensions which are difficult or impossible to grasp for humans, to find linear or non-linear correlations. However when it comes to extrapolation most models fail miserably.
It can be argued, since we don't know the ultimate cause of the laws of our universe, that we also rely in abductive reasoning and guide ourselves through models created by correlations based in our experience. But that has happened through millions of years of evolution and we still don't know how to build AI supervisors that can challenge that.
It can be argued, since we don't know the ultimate cause of the laws of our universe, that we also rely in abductive reasoning and guide ourselves through models created by correlations based in our experience. But that has happened through millions of years of evolution and we still don't know how to build AI supervisors that can challenge that.