Such signs should be alarming to the autonomous-driving industry, which has largely banked on scaling, rather than on developing more sophisticated reasoning. If scaling doesn’t get us to safe autonomous driving, tens of billions of dollars of investment in scaling could turn out to be for naught.
Gary Marcus • Deep Learning Is Hitting a Wall
he long history of failed anthropomorphic systems goes back even before Microsoft BOB and Clippie, but it has continued to produce billion dollar failures. The most recent serious deadly design mistake was Elon Musk’s insistence that since human drivers used only eyes, his Teslas would use only video. By preventing the use of radar or LIDAR, over t... See more