I don't get how this solves the problem of edge cases with self driving Even if you can generate simulated training data, don't you still have the problem where you don't even know what the edge cases you need to simulate are in the first place?
I don’t think coming up with novel situations is all that hard. LLMs already do it in text form all the time.
It’s practically infinite, your domain is 3D space and time
You can’t just generate every possible scenario
That would be a combinatorially insane amount of data