Luis Von Ahn

It's a tiny number of people that are learning it. It's got to be, I don't know exactly off the top of my head, but it's certainly well below 1% of our learners are learning Hindi. I'm going to guess 0.1% of our learners are learning Hindi. That's a guess that I have.

It's a tiny number of people that are learning it. It's got to be, I don't know exactly off the top of my head, but it's certainly well below 1% of our learners are learning Hindi. I'm going to guess 0.1% of our learners are learning Hindi. That's a guess that I have.

So that's the hard part about adding languages, that we have to maintain them, we have to do a really good job with them, and then in the end, we just don't get a lot of usage. So, sorry.

So that's the hard part about adding languages, that we have to maintain them, we have to do a really good job with them, and then in the end, we just don't get a lot of usage. So, sorry.

So that's the hard part about adding languages, that we have to maintain them, we have to do a really good job with them, and then in the end, we just don't get a lot of usage. So, sorry.

Well, it's just really hard to say yes. You know, in the past, I used to say yes to this stuff. And we made a lot of mistakes adding languages that, in retrospect, we probably shouldn't have added.

Well, it's just really hard to say yes. You know, in the past, I used to say yes to this stuff. And we made a lot of mistakes adding languages that, in retrospect, we probably shouldn't have added.

Well, it's just really hard to say yes. You know, in the past, I used to say yes to this stuff. And we made a lot of mistakes adding languages that, in retrospect, we probably shouldn't have added.

We have. We cut, I think it was Afrikaans. Yeah, we have. But the cut, in part, was because there was very little demand. But the biggest reason was it was just a low-quality course. And at some point, we thought this was a bigger brand risk than anything else. And we made the decision. We're like, well, could we improve it or what? And we made the decision that it was not worth improving.

We have. We cut, I think it was Afrikaans. Yeah, we have. But the cut, in part, was because there was very little demand. But the biggest reason was it was just a low-quality course. And at some point, we thought this was a bigger brand risk than anything else. And we made the decision. We're like, well, could we improve it or what? And we made the decision that it was not worth improving.

We have. We cut, I think it was Afrikaans. Yeah, we have. But the cut, in part, was because there was very little demand. But the biggest reason was it was just a low-quality course. And at some point, we thought this was a bigger brand risk than anything else. And we made the decision. We're like, well, could we improve it or what? And we made the decision that it was not worth improving.

Unfortunately, maybe. But unfortunately, at the moment, AI is really good for big languages and really bad for smaller languages. So there's a pretty high correlation with the languages we have. I mean, AI is very good at the languages we have. The Spanish and the French, not super good at your Esperanto or Navajo or kind of smaller languages.

Unfortunately, maybe. But unfortunately, at the moment, AI is really good for big languages and really bad for smaller languages. So there's a pretty high correlation with the languages we have. I mean, AI is very good at the languages we have. The Spanish and the French, not super good at your Esperanto or Navajo or kind of smaller languages.

Unfortunately, maybe. But unfortunately, at the moment, AI is really good for big languages and really bad for smaller languages. So there's a pretty high correlation with the languages we have. I mean, AI is very good at the languages we have. The Spanish and the French, not super good at your Esperanto or Navajo or kind of smaller languages.

The good news is that in the constrained environment that we have, it can help quite a bit. It's been helping quite a bit. I mean, a lot of the data that we generate for it. our math course is with AI. The other thing is, some of it is without AI, but it turns out just computers are good at math.

The good news is that in the constrained environment that we have, it can help quite a bit. It's been helping quite a bit. I mean, a lot of the data that we generate for it. our math course is with AI. The other thing is, some of it is without AI, but it turns out just computers are good at math.

The good news is that in the constrained environment that we have, it can help quite a bit. It's been helping quite a bit. I mean, a lot of the data that we generate for it. our math course is with AI. The other thing is, some of it is without AI, but it turns out just computers are good at math.

I mean, computers are good at math. And, you know, I understand AI is not so good at like, you know, they're like, whatever, follow this pattern or whatever. It may not be so good at that. But the data that we generate for a math course is a lot of stuff like fractions and multiplications. Computers are pretty good at generating that data.

I mean, computers are good at math. And, you know, I understand AI is not so good at like, you know, they're like, whatever, follow this pattern or whatever. It may not be so good at that. But the data that we generate for a math course is a lot of stuff like fractions and multiplications. Computers are pretty good at generating that data.

I mean, computers are good at math. And, you know, I understand AI is not so good at like, you know, they're like, whatever, follow this pattern or whatever. It may not be so good at that. But the data that we generate for a math course is a lot of stuff like fractions and multiplications. Computers are pretty good at generating that data.