Which begs me the question why Tesla took so long to get here? It's only since v12 it starting to look bearable for supervised use.
The only answer I see is their goal to create global model that works in every part of the world vs single city which is vastly more difficult. After all most drivers really only know how to drive well in their own town and make a lot of mistakes when driving somewhere else.
It was only about 2 years ago that they switched from hard coded logic to machine learning (video in, car control out), and this was the beginning of their final path they are committed to now. (building out manufacturing for Cybercab while still finalizing the FSD software is a pretty insane risk that no other company would take)
Path planning (decision-making) is by far the most complicated part of self-driving. Waymo vehicles were making plenty of comically stupid mistakes early on, because having sufficient spatial accuracy was never the truly hard part.
The only answer I see is their goal to create global model that works in every part of the world vs single city which is vastly more difficult. After all most drivers really only know how to drive well in their own town and make a lot of mistakes when driving somewhere else.