* Unless it gets super stuck, then a human drives out and gets into the physical driver seat and takes over
But it’s still not the impression they’ve been giving. It’s been an impression of full automation (ignoring getting stuck) and if it’s not navigating on its own that’s disingenuous.
This approach has two benefits: it can be unstuck without sending out a physical driver and while collecting training data, and it efficiently lets m humans control n cars with a wide range of acceptable m and n values.
It's intended for the ratio of m:n to smoothly shrink as the software gets better, but m will always be greater than zero.
So when the car's systems prevent it from taking a specific action, they can override it for a single instance.
They effectively are answering questions like "is this road closed", or "is the object in front of me a solid object or a weird shadow".
These are not the sort of questions that US driver's license is really related to, it's not things like "can I legally turn right on red at this intersection".
Do we require a driver's license to solve Google reCapture questions like "what squares have a bike in them"? Because the waymo stuff is closer to image classification than driving.
Driver's licenses are legal constructs. The DMV certifies self-driving cars as able to drive on the road differently, and sure, those two different processes are different.
I really don't get the point you're trying to make here.
Elons cars are already driving by themselves against the conditions they are licensed for, causing accidents and the liability falls to the drivers.
Aka, licensing means absolutely nothing. Specially today.