They do "fall off the edge of the world" a lot; but so do human neural networks; I've seen a bad crash as a result of a human simply pulling out of a driveway right in front of a motorcycle, 'cause they're rare. She had tagged the motorcycle as a bike while it was farther away, then boom. Her interpolation (while checking the other side) didn't work, and her averaging over uncertainty didn't work either because motorcycles are rather rare up north, they aren't the average vehicle. I've made a similar error re a kid on a wall (he suddenly jumped directly into the bikepath) but managed to avoid him (my bike zoomed to his left and I tumbled past his right. He wasn't hurt, although I got a severe wrist sprain from throwing the bike to the left.) As a driver I behave very differently around kids on walls, now. It was just an edge case I'd never encountered, and I didn't have enough data to calculate under uncertainty.