Isn't the dilemma here that these experiments are being done on far too big a scale for the low skill level the cars currently exhibit, and yet if you take that

Isn't the dilemma here that these experiments are being done on far too big a scale for the low skill level the cars currently exhibit, and yet if you take that to the companies behind them they would all argue they need more cars to gain more ML experience in order to have a better outcome. The driving capabilities are impressive from a tech perspective but they're pretty poor in comparison with average or even fairly poor drivers. Given these limited capabilities, the cars are obviously still in an early R&D stage and thus the companies running them ought to be giving far more priority to making the outward impact much less. How do they do that? Staff the human "take over" driver pools at far higher levels, so the take over is always smooth and rapid. Right now it's like those useless chat boxes on websites where they ask you to chat and then find they've got no human to engage with you, as they multiplexed excessively. Bringing the number of humans down once the systems are good enough is fine and that's how they'll get their commercial rewards but doing it now is premature.