Stuart Russell

There's no doubt about that.

But people, I would say, overinvested.

Every major company was starting an AI department, just like now.

And I worry a bit that we might see similar disappointments, not because the current technology is invalid, but it's limited in its scope.

And it's almost the dual of the scope problems that expert systems had.

Yeah, so when I'm giving talks these days, that's one of the warnings that I give.

So this is a two-part warning slide.

One is that rather than data being the new oil, data is the new snake oil.

And then the other is that we might see...

a kind of very visible failure in some of the major application areas.

And I think self-driving cars would be the flagship.

And I think when you look at the history, so the first self-driving car was on the freeway, driving itself, changing lanes, overtaking in 1987.

And so it's more than 30 years.

That kind of looks like where we are today, right?

You know, prototypes on the freeway, changing lanes and overtaking.

Now, I think significant progress has been made, particularly on the perception side.

So we worked a lot on autonomous vehicles in the early, mid-90s at Berkeley.

And we had our own big demonstrations.

We put congressmen into self-driving cars and had them zooming along the freeway.

And the problem was clearly perception.