Cal Newport

So that's, I kind of agree with the market's consensus right now, for sure.

there's going to be industries that are affected.

But it's not going to be one of these situations where you say, okay, any work that's not just the deepest creative work is all going to be automated in the next few years.

I better go learn how to do art or something like that.

I don't think it's going to be that broad at first.

I don't think the current generation of AI technology can support

as broad of impacts as people think.

There's a lot of extrapolation from, well, if it can do this with code, certainly it could do this with all these other jobs.

If it could do this with this industry, well, certainly next it'll do it for all these other industries.

We have to be wary of those extrapolations.

Yes.

Yeah.

That's what that article is about.

I think that was a very...

Of the articles I've written, I think that was a really important one that came out in August.

And the story it tells, and a lot of other people have told the story as well around that time and since, but the story it tells is basically what happened is there was this big paper that was published in 2020.

The lead researcher Kaplan, Jared Kaplan, I think was at Anthropic at the time.

And it was this paper where they said, hey, something weird is happening here.

If we make LLMs bigger and we train them longer, they perform better.

I mean, technically they're saying the loss decreased.