This isn't really here or there, but I've recently been going through the deeplearning.ai course by Andrew Ng and friends, and at the end of each week, there is an interview with a luminary in deep learning.
A couple of weeks ago it was Andrej Karpathy. I got about three sentences in when I realized this guy is really, really smart. The way he spoke about neural nets and the problems he was working on suggested to me a deep and nuanced understanding, and a way of thinking that always tries to expand that depth and breadth.
Anyway, I figure if a guy like that couldn't make it work after so many years, even with a team that surely has other strong players, then it's just out of reach for the time being, with the hardware they're constrained to. It's even possible that deep neural nets will just never be able to do FSD at a level that will gain broad acceptance and some new architecture will be necessary.