> You're saying that for humans it requires perhaps 30% additional learning effort but for computers 9900%, and I'm supposed to accept the 30/9900 discrepancy b

> You're saying that for humans it requires perhaps 30% additional learning effort but for computers 9900%, and I'm supposed to accept the 30/9900 discrepancy because… what? Because AI is not even remotely close to “solved”, and driving is a combination of a million edge conditions, social knowledge and communication, common sense knowledge, vision understanding, planning, and force feedback adjustment. What’s unclear to me is why you’d expect these things to be so easy. To even say “for computers” doesn’t seem to recognize this isn’t just about executing basic math, but is rather trying to represent intelligence. There is no single computer here, these are implementations of ML models, which are each unique with their own architecture, parameter space, and capabilities.