Earlier quoted context omitted.
Safely operating a motor vehicle via a steering wheel, accelerator, and brake (and sometimes clutch and gearshift) is a completely different skillset than monitoring an automated system in realtime. Novel skill requirements include: interpreting FSD UI, anticipating common errors, recognizing intent behind FSD actions, & remaining vigilant even during periods of autonomous success.
The history of human machine interactions makes it clear that if you have the human as the primary control (in the main decision loop, operating things) and the automation watching over their shoulders, it works pretty well. The opposite - where the automation handles the common case, with the human watching, simply does not work. It's not worked in aviation, it's not worked in industrial systems, it's not worked in…
Do you have thoughts on why this is? Is it because, almost by definition, the remaining 0.1% are the toughest problems so the hardest to catch/solve? Or is it a human-factors issue where people get complacent when they know they can count on the machine 99.9% of the time and they lose the discipline to be vigilant enough to catch the remaining problems?