People treat this as though all Tesla's everywhere were for some reason never trained on a dataset including cyclists off to the side, and people make emotional

People treat this as though all Tesla's everywhere were for some reason never trained on a dataset including cyclists off to the side, and people make emotional statements of "obviously this is someone's fault for not dealing with this obvious scenario". But we all (should) know that's not how machine object detection systems work: they would reliably pass this sort of scenario all the time, and then some sort of adverse (input data wise) input situation from something humans don't even notice would trigger a complete failure. Which is to say it's not intuitively obvious that other systems won't have these sorts of failure scenarios - it certainly won't be proven till they have sufficiently widespread deployment to eek them out.