1. Need to understand all standard signage (seems possible with AI).
2. Need to understand all "unstandard" signage (not sure how possible).
3. Need to understand the cop with the thick NY accent yelling at you saying "Can't you see there's been an accident and the road is covered with glass you dufus? Turn the F around."
I can certainly see AI solving the problem of driving in specially designed limited access highways (which could also support normal human drivers), and that alone would be a huge benefit, but I never saw how so many were willing to make the leap to "robotaxis that can drive you anywhere in the city."
5. Need to understand that occluded objects have not vanished from the universe never to be seen again
8. Generally understand the true context of things you're seeing. E.g a 4x8 sheet of plywood in the road, a squashed piece of road kill, a large metal pipe, a stopped vehicle, a baby carriage, a dishwasher, a tumbling large slab of styrofoam (all things I've encountered in the last year).
9. Is there a stopped firetruck in front of me (I list this because of the ludicrous fact that a Tesla plowed full-speed into such an obstacle).
What you describe is the classic west coast non-confrontationalism. You're probably annoying enough that it's simply not worth it to counter anything you say because you just dive into a petty and self-aggrandizing argumentative mode.
Brash and confused conservatives think everyone agrees with them, but in reality people don't want to get caught up in absolute bullshit by joining any kind of interaction with them. This is a common pattern by now. You would do well to recognize it.
- driving across an unmarked grassy mound to park a car at a store in their designated area.
- paying a fee with coins to enter and exit a toll road.
- stopping to move around roadworks based solely on hand signals from one of the workers.
These aren’t even scratching the surface in terms of edge cases that could be encountered regularly.
People point at statements like "it just needs to drive better than the average driver" and "well lots of idiots drive".
On the flip side, lots of intelligent people with other skills do not have the confidence & comfort to drive outside of their towns local roads, or at all.
There are problem sets for ML like quant trading or phone album image tagging where you just need to be right 51% of the time to make money / be novel & useful.
We've seen plenty of examples showing ML is not appropriate for life&death problems like being the primary reviewer of diagnostic imaging for cancer screening.
The bar for ML to drive a car is much much higher, and I'm not even sure we have the right sensor suites feeding into the models, not to mention the compute capacity to operate at low enough latency.
ML maximalism focused on the narrow problem of 'solving driving' while not recognizing that any task as complex as driving requires probably something closer to general intelligence, and theoretically the field has been impoverished in favor of "throw more graphics cards at everything".