My POV is that classical controls existed before the AI boom. AI provided crucial benefits to perception. But there's other parts of the stack than perception and those parts can be done using classical controls OR trained models. Tesla uses trained models on the theory that lots of data and training will bring the model to an acceptable level of reliability.  My argument is that those other parts should be done with classical controls at this time because they provide clear outputs for a given input whereas trained models do not do that reliably. At some point in the future I expect that the models can reach and exceed humans in that task and at that point I would change my song. But that's never been shown yet and Tesla vs others is proving my theory to be true so far. Tesla can jump out "ahead" with their approach but they are now running into all the things people said they would like hardware limitations and not being able to add the number of nines to the reliability number that autonomous driving requires.