Transcript · English → Chinese
Understanding Intelligence in the Age of AI
整个AI时代正在告诉我们的一件事 是——
我们对
智能的定义其实并不准确。
呃，AI的历史一直是这样， 这里有一项
只有人类能做的任务。 比如阅读自然语言
或在国际象棋中获胜
或解一道数学题。 然后，一个接一个地，
总会有人找到某种AI算法， 也能做到这些事。
比如，好了，我们现在能识别人脸了。
我们，我们现在能理解语音—— 但你看看它是怎么做到的，
就感觉不像是智能。 就像，哦，只是用了些技巧。
你只是， 把这些神经网络和随机算法
胡乱拼凑在一起。
嗯。
而我们一直在寻找某种难以捉摸的、 智能的
思考方式， 而我们没在那些
真正能解决我们目标的工具中看到 它。
但也许实际上是因为 智能并非我们想象的那样。
所以，尤其是大语言模型 已经变得
非常成功， 而它们所做的很多事情
就只是预测下一个词元，
预测一句话中的下一个词。
而这， 听起来不像是什么
智能的东西。
比如你让某人即兴演讲， 他们毫无
准备，而且
每时每刻都只是在说 脑海中浮现的下一个词。
意识流倾泻。呃， 你不会认为这——这可能
真能奏效，但对大语言模型来说它确 实有效， 而且也许这实际上是
人类所做事情的很大一部分。
我现在给你的这个回答 并没有排练过。
我没有——我没有想得 那么深入，但它——
你可以走得很远
只需活在当下并作出反应。
呃，这——当然，并不是……
有些事情确实需要仔细、 深入地思考，但你，你
几乎可以凭本能完成许多 看似需要智慧的任务
几乎可以凭本能完成许多 看似需要智慧的任务
或者像自动驾驶一样。呃，呃， 我认为这是其中一点
人工智能时代正在教会我们， 也许我们并没有自己想的那么
聪明，
至少有时候是这样。
End of transcript · 345 words · machine translated
Original transcript (English)
One thing that this whole era of AI is teaching us is what-- is our idea of what intelligence is, is not really accurate. The, uh, the history of AI has been, here's a task that only humans can do. Like maybe it is read natural language
or win at chess or solve a math problem. And then one by one, someone finds some AI algorithm that also does that. Like, okay, we can now recognize faces. We can, we can now understand speech and-- But you look at how it's done,
and it doesn't feel like intelligence. Like it's, oh, it was some trick. You just, you just cobbled together these neural networks and random algorithm. Mm-hmm. And we were looking for some elusive, intelligent way of
thinking, and we don't see it in the tools that actually solve our goals. But maybe it's actually because intelligence is not what we think it is. So like large language models in particular have become very successful, and a lot of what they're doing
is just predicting the next token, predicting the next word in a sentence. And it, it doesn't sound like something which is intelligent. Like you ask someone to improvise a speech, and they don't have no
preparation, and at every moment they're just saying the next word that comes to their mind. Stream of consciousness dump. Uh, you don't think that this is-- this could actually work, but it does for LLMs, and maybe that's actually a lot of what humans do as well.
This response I'm giving you right now is not rehearsed. I haven't-- I didn't think about it that deeply, but it's-- You can get very far just by being in the moment and reacting. Um, it's-- Certainly, there's not...
There's some things that actually do require careful, deep thought, but you, you can do a lot of what seemingly seem like intelligent tasks almost by instinct or by autopilot. Um, um, that's I think one thing that the age of AI is teaching us, that maybe we're not quite as smart as we
think we are sometimes.
