Duolingo首席执行官Luis von Ahn认为AI有很多可以教给我们的东西

Decoder · · 时长 1:19:55

Luis von Ahn表示,Duolingo的Lily会适应学习者的水平,并记住之前的对话主题。他认为大语言模型对教学有帮助,但让学习者保持投入仍然很难。 阅读 3 条观点,查看支持证据与原始来源。

阅读核心观点

理解这篇

3 个要点

综合解读

  1. Lily会根据学习者的水平调整对话

    Von Ahn表示,Lily会适应学习者的水平。Duolingo通过用户此前在该应用上的学习情况了解其水平。

    支持这项说法 1

    首先,她会适应你的水平——我们知道你的水平,因为你一直在Duolingo上学习,所以我们对你的水平有相当清楚的了解。

    Luis von Ahn · Publisher transcript paragraph 8

    原始摘录
    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.
    上下文

    我们有一组用户喜爱的角色。其中一个是留着紫色头发、对你很不以为然的emo青少年。你现在可以和她交谈,练习你的对话技巧,并且可以与她进行非常好的对话。关于她有很多令人惊叹的地方。

    原始上下文

    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.

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    AI个性化 →
  2. 莉莉能记住此前对话中提到的主题

    冯·安表示,莉莉能记住此前对话的主题。在其举例中,莉莉记得他曾告诉过她自己喜欢涅槃乐队(Nirvana)。

    支持这项说法 1

    另一项特性是她具备记忆能力,能记住你上次谈话中提及的内容。例如,我今天刚进行的一次对话中,她就记得上次我们聊到我喜欢涅槃乐队。

    Luis von Ahn · Publisher transcript paragraph 9

    原始摘录
    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.
    上下文

    她告诉我,她最喜欢的歌曲是《少年心气》(Smells Like Teen Spirit)。

    原始上下文

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

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    AI记忆 →
  3. Von Ahn表示大语言模型教学效果好,但不擅长提升参与度

    Von Ahn表示,大语言模型已经帮助了Duolingo,并将继续提供帮助,但并不能解决其所有问题。他说它们擅长教学,但不擅长提升参与度,他称参与度是教育中最难的部分。

    支持这项说法 1

    情况介于两者之间。我确实认为大语言模型将对 Duolingo 非常有利——它们已经如此,而且我认为它们将继续非常有利。但有一点并不成立,那就是大语言模型能解决我们所有的问题。人们没有讨论的最大问题之一,尤其是在教育方面,就是大语言模型擅长教你东西,却不擅长提升参与度。而这正是教育中最难的事情。

    Luis von Ahn · Publisher transcript paragraph 75

    原始摘录
    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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关键时刻3

简短、标注来源的段落,并附有可验证上下文。完整对话保留在其发布者处。

AI个性化

Lily会根据学习者的水平调整对话

首先,她会适应你的水平——我们知道你的水平,因为你一直在Duolingo上学习,所以我们对你的水平有相当清楚的了解。

原始摘录
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.
上下文

我们有一组用户喜爱的角色。其中一个是留着紫色头发、对你很不以为然的emo青少年。你现在可以和她交谈,练习你的对话技巧,并且可以与她进行非常好的对话。关于她有很多令人惊叹的地方。

原始上下文

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记忆

莉莉能记住此前对话中提到的主题

另一项特性是她具备记忆能力,能记住你上次谈话中提及的内容。例如,我今天刚进行的一次对话中,她就记得上次我们聊到我喜欢涅槃乐队。

原始摘录
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.
上下文

她告诉我,她最喜欢的歌曲是《少年心气》(Smells Like Teen Spirit)。

原始上下文

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

AI在教育中的局限性

Von Ahn表示大语言模型教学效果好,但不擅长提升参与度

情况介于两者之间。我确实认为大语言模型将对 Duolingo 非常有利——它们已经如此,而且我认为它们将继续非常有利。但有一点并不成立,那就是大语言模型能解决我们所有的问题。人们没有讨论的最大问题之一,尤其是在教育方面,就是大语言模型擅长教你东西,却不擅长提升参与度。而这正是教育中最难的事情。

原始摘录
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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