> like a road with traffic, cars parked, pedestrians about, weather

Not all of those need to be done "quickly". That's where LLMs fail

You note the weather when you leave. You understand the traffic five minutes ahead. You recognize pedestrians far ahead of time.

Computers can process a lot in fractions of a second. Humans can recognize context over many minutes.

The Waymo may have done better in the fraction of a second, but humans can avoid being in that situation to begin with.

There aren't infinitely many scenarios to consider, but even if that's a figure of speech, there aren't thousands or even hundreds.

If there's ten kids nearby, that's basically ten path scenarios, and that might be reduced if you have great visibility into some of them.

> My brain might be able to quickly assess a handful, but certainly not all.

What would you do if you can't assess all of them? Just keep driving same speed?

If the situation is too overwhelming you'll almost certainly back off, I know I would. If I'm approaching that school block and there's like 50 small kids running around in all directions, I have no idea what's going on and who is going where, so I'm going to just stop entirely until I can make some sense of it.

This is the classical ‘Frame Problem” of AI. How do you consider, even if only to reject, infinite scenarios in finite time? Humans and other animals don’t seem to suffer from it.

God I wish I re-read my statement, I was more focused on Humans think of an unlimited number of scenarios - not necessarily all. A computer will only think of pre-programmed ones.