Joe Wiesenthal

Let's go back to that starting point.

So like if someone makes a model that could tell the difference between written and spoken word, that's mind blowing.

It's incredible breakthrough, but that's not a general technology.

That's a specific technology.

Okay, so I made it longer.

No, I made it a little bit longer.

Great.

It's because I talked for so long.

So I set up this sort of – maybe it's a straw man, but I set up this sort of straw man that maybe we're going to knock down in this conversation.

But how would you describe this sort of modal view of the impact of AI on the labor market among the economics profession?

to the extent there is one?

And if the lever part gets automated, the theory is that not only will Tracy be more productive and should get paid more for it.

Can I just ask you a quick question here, too?

Like, how good are we, and by we, I guess the economists who study this, at, like, actually being able to, like, here is a job that someone has, write down a list of these tasks, right?

describe, how good are we at describing the list of tasks?

Okay, we're good.

Yeah, talk about that.

So this is really interesting.

We're good at writing down the list of the tasks.

We are not good at writing down the sort of like deep relational links to the task and how they fit together.