Let's not dismiss the point that self-driving cars are the "stone soup" of machine learning industry. Like the monk who claimed he could make soup with just a stone, machine learning claimed that with two cameras, two microphones, and steering/brake/accelerator control, a machine would someday soon drive just like a human can with that hardware equivalent.
Then it turned out well, we actually need a lot more cameras. Now we need high res microphones. Now we need magnets embedded in the road. Now we need highly accurate GPS maps. Now we need high power LIDAR that damages other cameras on the road. Now we need....
Each little ingredient in the soup "made only with a stone." Machine learning has utterly failed to deliver on this original promise of learning to operate a vehicle like a person, with no more sensors than a person.
"Machine learning has utterly failed to deliver on this original promise of learning to operate a vehicle like a person, with no more sensors than a person."
I am not aware of anyone except Musk making that claim. "Machine learning" as in the statements of the main researchers, certainly did not promise anything like it.
Then it turned out well, we actually need a lot more cameras. Now we need high res microphones. Now we need magnets embedded in the road. Now we need highly accurate GPS maps. Now we need high power LIDAR that damages other cameras on the road. Now we need....
Each little ingredient in the soup "made only with a stone." Machine learning has utterly failed to deliver on this original promise of learning to operate a vehicle like a person, with no more sensors than a person.