Grant Harvey

be it multilingual.

I mean, think about it.

Lots of these models are very, very good at English because they're trained on a predominantly English data set.

And then there isn't at other languages, but there are a lot of other languages.

I mean, there are seven or eight languages in India with 100 million speakers.

That's a lot of potential consumers.

So there's a huge demand in these different places.

With their own literature, with their own quirks and things.

There's a huge amount of stuff that can be done there.

And also, as training costs go down, maybe, then you can start doing... Just because of... I don't know.

This isn't exactly an example of Jeben's paradox, but just because something becomes easier doesn't mean people use less of it.

Oh, it's massively, massively gone up.

When we were starting, you were taking people who were intelligent and spoke good English, but generalists.

And there is still a role for generalists, but in so many... Think about it.

You want to make your model better at quantum physics?

You're going to hire a generalist?

No.

You want to make your model better at Swiss German?

You're going to hire a generalist?

No, you've got to find someone who speaks Swiss German.