Duolingo CEO Luis von Ahn thinks AI has a lot to teach us

Decoder · · Durée 1:19:55

Luis von Ahn says Duolingo’s Lily adapts to a learner’s level and remembers earlier conversation topics. He sees large language models as helpful for teaching, while keeping learners engaged remains difficult. Lisez 3 points de vue avec leurs éléments à l’appui et les liens vers les sources.

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AI personalization

Lily adapts conversations to the learner’s level

Extrait original

First of all, she adapts to your level — we know your level because you’ve been learning on Duolingo, so we have a pretty good idea of what your level is.
Contexte

We have this cast of characters that our users love. One of them is an emo teen with purple hair who is very unimpressed by you. You can talk to her now and practice your conversation skills, and you can have really good conversations with her. There are a lot of things that are amazing about her.

AI memory

Lily remembers topics from earlier conversations

Extrait original

The other thing is that she has memory, so she remembers the last time you talked about something. For example, I just had a conversation today where she remembered that, last time, we talked about the fact that I like Nirvana.
Contexte

She was telling me that her favorite song is “Smells Like Teen Spirit.”

AI limitations in education

Von Ahn says LLMs teach well but are not good at engagement

Extrait original

It’s somewhere in between. I do think that large language models are going to be very positive for Duolingo — they already are, and I think they’re going to continue being very positive. What is not true is that large language models solve all our problems. One of the biggest issues that people aren’t talking about, particularly with education, is that large language models are good at teaching you stuff. They’re not good at engagement. And that’s the hardest thing with education.

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