The ability to accurately map surroundings is a fundamental prerequisite to AGI but it's pretty much the whole meal for self driving. From there the car needs

The ability to accurately map surroundings is a fundamental prerequisite to AGI but it's pretty much the whole meal for self driving. From there the car needs to segment its interpreted reality and run path finding algorithms. AGI needs to take that reality and seemingly consciously understand the many different ways that it can interact with it. I'm oversimplifying the post mapping implementation of self driving - but not so as to remove an insurmountable problem. Tesla's biggest fuck ups (such as driving under a truck) seem to me to be the consequences of initial mistakes in building a map of reality, rather than in what's being done with that map. For self driving, as far as I can tell, the map of reality is the hard part. For AGI, it gets you to the hard part.