Driverless cars are here, without liability issues they would already be widespread. But scaling isn't what got them there. It was tons of labeled data, both from rules based implementations and shadowing human drivers.

The ability to generalize completely outside training data isn't that common among humans IME. That is a high bar. How many of us have done so without at least drawing an analogy to some other experience we have had? Truly unique thinkers aren't that commonplace. I myself could have probably just asked an LLM what I would say in this post and gotten pretty close...