Ross Douthat

Yes, yes.

To describe essentially like man and horse fused AI and engineer working together.

But is there also something maybe where industries like software and professions like coding that have this kind of comfort that you describe move faster, but in other areas...

People just want to hang out in the centaur phase.

So one of the critiques of the job loss hypothesis will say, people will say, well, look, we've had AI that's better at reading a scan than a radiologist for a while.

But there isn't job loss in radiology.

People keep being hired and employed as radiologists.

And doesn't that suggest that

in the end, people will want the AI and they'll want a human to interpret it because we're human beings.

And that will be true across other fields.

Like, how do you see that example as relevant?

Do you think that's what's happening in radiology?

Is that why we haven't fired all the radiologists?

Or let's let's take the example of the law, because I think it's

a useful place that's sort of in between applied science and sort of pure humanities.

I know a lot of lawyers who have looked at what AI can do already in terms of legal research and brief writing and all of these things, right?

And have said, yeah, this is going to be a bloodbath for the way our profession works right now.

And you've seen this in the stock market already.

There's sort of disturbances around companies that do legal research.

We don't speculate about the stock market very much on this show.