I think they are very capable. Maybe their tech is not ready now, but who knows in 2-5 years where they will be.
[0] https://www.theverge.com/2016/4/18/11454858/george-hotz-self...
I think they are very capable. Maybe their tech is not ready now, but who knows in 2-5 years where they will be.
[0] https://www.theverge.com/2016/4/18/11454858/george-hotz-self...
I believe the only way out of the security pit is to double down on rigorous physics and not rapid ML
So far what we see about Tesla and the likes is that they jumped early on the ML fad as very naive feedback loops on basic car controls (estimate lanes -> center the car. estimate obstacle distance -> adapt speed). It's not physics first.
And the requirement is not just braking action, like with a railroad crossing it is active avoidance.
https://www.pge.com/en_US/safety/electrical-safety/what-to-d...
My point is - corner cases like these tend to create "IF" statements in a "pure physics model" that is used for decision making under uncertainty. And engineering such models without "ML fad" is difficult.
Meanwhile there are a few of these: https://www.youtube.com/watch?v=3HrN12WG-2Q