Alex Imas

Yeah.

I mean, I've been an economist for much longer than I've been a professor of applied AI.

I have been studying human behavior, human decision-making for about 12 years now, more than a decade.

And when Chad GPT first came out, I was kind of taken aback.

This was a few years ago now.

And I was thinking –

After about a week of using it, I was like, this is going to be huge for the economy.

And so I started talking to people who have kind of, there were several people who kind of knew that it was coming and knew what the impact it was going to have.

So I started talking to those people and I kind of quickly kind of started retooling.

That's smart.

I started, I trained my own model, you know, I got into it and, you know, I've been trying to play catch up ever since.

Yeah.

I mean, once you started using it, you saw that it was able to

basically not so well in the very, very beginning, but even after a few months and like within a year, you saw that it was able to kind of do basic cognitive tasks to a decent degree.

Like it wasn't like we are going to replace that person, but it was doing pretty sophisticated things that, and the jump from like where we were thinking about AI as these very, very, very targeted things, like AI will play the game Go or something like that.

To something where, whoa, it can write an essay, it can tell me about this accounting property, it can make a forecast.

All of a sudden, the generality of the technologies just exploded.

And to me, that was a huge deal.

It's a huge gap, but at the same time, there was a path towards AI and the way that AI was being worked on for a long time, which was these very specific purpose-built technology.

And I think Jeffrey Hinton and other people were working on their own for a long time in the wilderness.