Sure but humans do a lot more with vision than just convolutions. So maybe we need to wait for AI to invent new techniques equally revolutionary and equally imp

Sure but humans do a lot more with vision than just convolutions. So maybe we need to wait for AI to invent new techniques equally revolutionary and equally impactful to convolutions to the point where it's believable that AI models can handle the range of exceptions humans handle. Humans are very good at learning from small data where AI tends to be pretty terrible at one-shot learning by comparison. That's going to continue being hugely relevant for edge cases. We've seen many examples now where a self-driving car crashes due to too much sunlight distorting its perception of where objects are. We can either bury our heads in the sand and pretend AI models work like humans and need the exact same inputs humans do or we can admit there are limitations to the technology and act accordingly. I also think dumb sensors is unfair, there are Neural Network solutions for processing LIDAR data so we are talking about a similar level of intelligence applied over both sensors.