Stuart Russell

But it's the weird stuff that happens.

It's all the edge cases, yeah.

The edge cases, other drivers doing weird things.

So if you talk to Google, right?

So they had actually a very classical approach

architecture where, you know, you had machine vision, which would detect all the other cars and pedestrians and the white lines and the road signs.

And then basically that was fed into a logical database.

And then you had a classical 1970s rule-based expert system, um, telling you, okay, if you're in the middle lane and there's a bicyclist in the right lane who is signaling this, then, then, then, then you do that.

Yeah.

Right.

And what they found was that every day they'd go out and there'd be another situation that the rules didn't cover.

So they'd come to a traffic circle and there's a little girl riding her bicycle the wrong way around the traffic circle.

Okay, what do you do?

We don't have a rule.

Oh my God.

Okay, stop.

And then they'd come back and add more rules, and they just found that this was not really converging.

And if you think about it, how do you deal with an unexpected situation, meaning one that you've never previously encountered, and the reasoning required to figure out the solution for that situation has never been done.

It doesn't match any previous situation in terms of the kind of reasoning you have to do.

Well, you know, in chess programs, this happens all the time.