斯坦福神经科学家大卫·伊格曼:我们为何做梦、如何重塑大脑以及AI如何增强人类智能 The Diary Of A CEO 2026-04-23

我们为何做梦?

Dr. David Eagleman: 经过几十年的辩论,我们可能已经找到了人们做梦的原因。是的,答案很简单。如果你失明了,大脑后部的视觉皮层就会被听觉、触觉和其他感觉所占据。事实上,我们在哈佛的同事做了一个实验,他们蒙住正常视力者的眼睛。60分钟后,你就能开始看到这种“占领”的发生。那时我们意识到,哇,做梦的目的就是为了保卫视觉区域,防止其他感官的侵占。但我对大脑可塑性以及我毕生致力于研究的领域着迷的是,找出我们如何能成为自己大脑的雕塑者,以及它如何给予我们机会,成为我们想成为的那种人。

Original English

Dr. David Eagleman: After many many decades of people debating this, you might have figured out the reason why we dream. Yes. And it's a simple answer. So if you go blind, the visual cortex in the back of the brain gets taken over by hearing and by touch and by other things. In fact, our colleagues at Harvard did an experiment where they blindfolded normally cighted people. And you could start seeing that takeover happening after 60 minutes. And that's when we realized, wow, the purpose of dreaming is to defend the visual territory from takeover from the other senses. But what fascinates me about brain plasticity and what I've devoted my career to is figuring out the way that we can be the sculptors of our own brains and how it gives us an opportunity to become the kind of person we would like to be.

Host: 我们能做到吗?

Original English

Host: And can we do that?

Dr. David Eagleman: 是的。事情是这样的,你的大脑在两岁时达到巅峰。在开始时,你拥有的是流体智力,意味着你可以学习任何东西。但现在你在这个世界上长大,你拥有的是晶体智力,意味着你知道如何开车,如何操作手机,如何经营企业。因此,你的大脑不需要那么多改变,这也意味着大脑的结构总是在退化。

Original English

Dr. David Eagleman: Yes. Here's the thing. Your brain peaked at the age of two. Okay. So at the beginning you've got fluid intelligence, meaning you could learn anything. But now that you have grown up in this world, you've got crystallized intelligence, meaning you know how to drive a car. You know how to operate a cell phone. You know how to run a business. And so your brain doesn't require as much change which means that the structure of the brain is always degenerating.

Host: 那么,有哪些行动可以从根本上改变我的大脑,让我成为那种积极、自律、有高度能动性并勇于面对世界的人?

Original English

Host: So what are the set of actions that will fundamentally change my brain and make me that type of person who's motivated and disciplines and who has high agency and attacks the world.

Dr. David Eagleman: 这是我在实验室里研究了几十年的东西。关键在于……

Original English

Dr. David Eagleman: So this is something I've studied in my lab for decades now. And the key is that

Host: 那么关于人工智能和社交媒体对大脑发展的争论呢?

Original English

Host: and what about AI and the social media debate as it relates to brain development?

Dr. David Eagleman: 嗯,对于年轻人,我恰好是一个网络乐观主义者。我认为这将使他们比前一代人聪明得多。原因如下。

Original English

Dr. David Eagleman: Well, I happen to be a cyber optimist for young people. I think it's going to make them much smarter than the generation that came before. And here's why.

Host: 有趣。

Original English

Host: Interesting.

大脑的构造与内在冲突

Dr. David Eagleman: 大卫·伊格曼博士,是什么让您对大脑如此着迷?为什么每个听众也应该对大脑着迷?我想是这样的。我8岁时,从一个正在施工的房子屋顶上摔下来,掉了12英尺,鼻子撞在了下面的地板上。但整个过程感觉持续了很长时间。我计算了一下,发现从上到下只用了0.6秒。我无法理解为什么感觉花了那么长时间。所以我想这让我对感知、我们观察世界的机制,以及什么是真实的,什么是大脑的构建物产生了浓厚的兴趣。这就是我职业生涯致力于研究的:大脑是如何被锁在头骨里,大约三磅重,它如何构建这个世界模型,哪些东西我们可以看作是现实,哪些则不应该。

Original English

Dr. David Eagleman: Dr. David Eagleman, what made you so fascinated about the brain? And why should everybody listening be fascinated about the brain as well? Here's what I think it is. When I was 8 years old, I fell off of the roof of a house that was under construction and I fell 12 feet and broke my nose on the floor below. But the whole thing seemed to take a long time. I did the calculation and figured out that it only took 6 of a second to get from the top to the bottom. And I couldn't figure out why it seemed to have taken so long. So I think that got me really interested in perception and the machinery by which we view the world and taken in and what is actually real versus what's a construction of the brain. And that's how what I've devoted my career to is figuring out how the brain which is locked inside the skull. It's about three pounds. How it constructs this model of the world and which things we can take as reality and which things we shouldn't.

Host: 我想大多数人甚至几乎不知道自己有个大脑。这么说听起来很奇怪,但我们大多数人从未真正见过自己的大脑,也从未触摸过。所以,很容易陷入认为我所经历的一切都是真实和现实的陷阱。因此,我想知道,对这一切有更深的理解如何能帮助我过上更好的生活。

Original English

Host: I think most people don't even know they have a there's a brain there almost. It sounds like a strange thing to say, but we've never really most of us haven't really seen our own brains at all. We've never been able to touch our own brains at all. So, it's it's easy to fall into the trap of thinking that everything I experience is true and is reality. So, I'm wondering how a deeper understanding of all this stuff can help me live a better life.

Dr. David Eagleman: 是的。我多年前开始写的一件事是,我认为我们通常把自己看作是“个体”(individual),意思是不可分割(not divisible)的。但实际上,你是一个竞争对手组成的团队。你有很多神经网络,它们有不同的驱动力,向你提出不同的建议。

Original English

Dr. David Eagleman: Yeah. One of the things that I started writing about years ago is that I think we're not I think we often think of ourselves as individuals, meaning not divisible into other things. But really, you are a team of rivals. So, you've got all these neural networks that have different drives making different suggestions to you.

Host: 什么是神经网络?

Original English

Host: What's a neural network?

Dr. David Eagleman: 在大脑中,有860亿个叫做神经元的细胞。它们以惊人的速度相互交流。这些细胞中有很多连接成了网络。所以,这个家伙在和那个家伙交流,它们都在特定的网络中。问题是,你实际上可以有相互竞争的网络。比如,史蒂芬,如果我把一些巧克力曲奇放在你面前,你大脑的一部分想吃,因为它是很好的能量来源。另一部分大脑说:“别吃,我会长胖。”还有一部分说:“好吧,我吃一个,但今晚去健身房。”关键是,你在和自己争论。你很矛盾。这就是人类如此有趣的原因,我们有各种声音试图驱使我们对自己的行为做出不同的结论。

你的国家之船如何航行,取决于任何时候神经议会的投票结果。所以,我认为理解这一点对于驾驭我们自己的生活至关重要,因为我们所有人都会做事后后悔的事情。我们会说我不该吃掉那整袋薯片,或者不该喝酒或吸毒什么的。每个人总是对某些事情感到后悔,这是因为在不同的时间,有不同的声音在主导。

Original English

Dr. David Eagleman: Um, so in the brain, you've got 86 billion cells called neurons. And these are communicating with each other at a blindingly fast rate. Many of these cells are hooked up in networks. So, they're, you know, this guy's talking to this guy and this guy, and they're all in particular networks. The thing is, you can actually get competing networks. So, for example, Stephen, if I drop some chocolate chip cookies in front of you, part of your brain wants to eat it. It's a good energy source. Part of your brain says, "Don't eat it. I'll gain weight." Part of you says, "Okay, I'll eat one, but I'll go to the gym tonight." The point is you are arguing with yourself. You are conflicted. This is what makes humans so interesting is that we have all these voices trying to drive us to different conclusions about our behavior.

The way that your ship of state moves depends on the vote of the neural parliament at any time. So understanding this I think is really critical to navigating our own lives because all of us do things where retrospectively we regret it. We say I shouldn't have eaten that whole bag of chips or done the you know the alcohol or the drugs or what like everybody has regrets all the time with things and it's because you have different voices in charge at different times. Okay.

尤利西斯合约:如何管理未来的自己

Dr. David Eagleman: 这部分引出了我们所说的“尤利西斯合约”。尤利西斯合约是指你现在做某件事,以防止自己在不久的将来行为不端。举个例子,当人们去匿名戒酒会时,他们被告知的第一件事就是把家里所有的酒都清掉。因为即使你感觉,看,我现在处于清醒反思的时刻,我再也不想喝酒了。但如果家里有酒,你总会在某个欢乐的周六晚上或孤独的周日晚上打开那个柜子。所以,你要做的是通过正确地设置事情来约束你未来的行为,这样未来的你就不能行为不端。我们天真地认为,好吧,我知道我是谁,我只是一个人。但你不是。在不同的情况下,你会被不同的事物诱惑,你会做出不同种类的行为。所以,了解“引擎盖”下发生了什么,给了我们一个机会,让我们能更接近我们想成为的那种人。

Original English

Dr. David Eagleman: Part of what this leads to is what we call the Ulisses contract. So a Ulisses contract is where you do something now to prevent yourself from behaving badly in the near future. Just as an example, you know, when people go to Alcoholics Anonymous, the first thing they're told is clear all the alcohol out of the house. Because even if you feel like, look, I'm in a moment of sober reflection. I don't want to ever drink again. If you have alcohol in the house, you're going to bust into that cabinet at some point on a festive Saturday night or a lonely Sunday night or whatever. So, what you do is you constrain your future behavior by setting things up in the right way so your future uh the future you can't behave badly. We naively think, okay, well, I know who I am. I'm just one person. But but you're not. And under different circumstances, you're tempted by different things and you'll do different kinds of behavior. So having a sense of what's going on under the hood gives us an opportunity to be more closely aligned with the kind of person we would like to be

Host: 因为感觉只有一个我,虽然我有时会在脑子里和自己争论,但感觉只有一个我。所以当我听到那个声音说“史蒂夫,你应该吃那块饼干”,而且是凌晨一点,然后另一个声音说“不,你不应该”,我觉得这像是同一个人在和自己斗争。

Original English

Host: because it feels like there's just one well I do argue with myself in my head sometimes but it feels like there is just one me and so when I hear that voice say Steve you should have that cookie and it's 1:00 a.m. And then the other voice says, "No, you shouldn't." I think it's kind of the same person just tussling with himself,

Dr. David Eagleman: 对吧?但这种“与自己斗争”暗示了有不同的政党在激烈竞争。你知道,当你看到一个议会,里面有所有这些政党,他们都爱自己的国家,只是对于如何引导它有不同的想法。这正是大脑中一直在发生的事情。

Original English

Dr. David Eagleman: right? Well, but that tustling with himself implies different political parties that are all battling it out. You know, when you look at a parliament, you've got all these political parties that all love their country. They just have different ideas of how to steer it. And this is what's going on uh in in the brain all the time.

Host: 那么,该怎么办呢?我需要签订一份“尤利西斯合约”吗?

Original English

Host: So, what does one do about that? How do I make do I do I have to make a list contract?

Dr. David Eagleman: 我认为做那样的事情非常有用。但也要了解自己。我的意思是,古希腊有句劝告是“认识你自己”。这是他们在各种地方,各种寺庙等处设置的标志。但我认为这应该变成“认识你们自己”(know thyelves)。我们越了解自己,就越能摆脱我们是一个人的幻觉。因为我们任何人只需要回顾自己的行为,就会说:“哦,是的,在某些情况下我会那么做。而在其他情况下,我认为那是个糟糕的主意。”所以这一切都是为了理解你是谁这个目标。

Original English

Dr. David Eagleman: I think it's very useful to make that sort of thing. But also just understanding oneself. I mean part of the you know there was this Greek admonition to know thyself. This was a sign they had in various places, various temples and stuff. But I think that becomes know thyelves. And the better we know ourselves, the more we can get rid of the illusion that we are one person. Because all any of us need to do is look back on our behavior to say, "Oh yeah, in some circumstances I would do that. and other circumstances I think is a terrible idea. So this is all to the goal of understanding who you are.

大脑可塑性:改变大脑的力量

Host: 人们一生中对大脑有哪些普遍的误解?

Original English

Host: What are the big misconceptions about the brain that people have gone through their life believing?

Dr. David Eagleman: 那是其中之一。另一个真实且可以替代它的基本观点是,我们的大脑是可塑的,或者说是可适应的。因为当我发现我可以通过我的行为改变我的大脑时,我感到非常非常受鼓舞。

Original English

Dr. David Eagleman: I mean that's one of them. Something that is true that kind of could fall in place of that is just this fundamental idea that our brains are plastic or sort of adaptable because when I found out that I could change my brain by what I do, I found that to be really really inspiring.

Host: 是的,完全正确。大脑可塑性,如果有人没听过这个词,听起来可能有点奇怪,但它100年前出现的原因是,伟大的心理学家威廉·詹姆斯指出,你拿一块塑料,我们喜欢这种材料的原因是你可以把它塑造成一个形状,它会保持那个形状。你的大脑也是这样。如果我问你三年级老师的名字,即使过了很久你也能记住,因为你的神经网络改变了并保留了那条信息。好的。我们一生中,大脑每时每刻都在改变。

Original English

Host: Yes, that that's exactly right. So brain plasticity, if someone hasn't heard that term before, it sounds like a weird term, but the reason it came about 100 years ago is because the great psychologist William James pointed out that, you know, if you take a piece of plastic, what we like about that material that we call plastic is that you can mold it into a shape and it'll hold that shape. And that's what your brain does. So if I ask you the name of your third grade teacher, you can remember that name even though it's been a long time because your neural networks changed and held on to that piece of information. Okay? Well, our whole lives our brains are changing every moment.

Dr. David Eagleman: 现在我们在不同时间有关闭的门。举个例子,你需要在生命最初的几年学习语言。如果你不学,你就永远无法理解语言的概念。你的大脑永远也搞不明白。

Original English

Dr. David Eagleman: So now we have certain doors that close at different times. So just as an example, um you need to learn language in the first several years of your life. If you don't learn language, you can never get the concept of language. Your brain will never figure that out.

Host: 你不是说成年人不能学新语言,你说的是语言的概念。

Original English

Host: You're not saying you can't learn a new language as an adult. You're saying the concept of

Dr. David Eagleman: 语言的概念,就是我能给东西命名,我能请求东西等等。这个概念就是无法在大脑中形成。例如,在罗马尼亚,在齐奥塞斯库倒台时,孤儿院里有成千上万的孩子,因为他们的父母被杀了。孩子太多了。所以那里的工作人员说:“听着,如果你太关注这些孩子,他们会变得很缠人。所以我们这样做:我们给孩子喂食,但我们不抱他们,也不和他们说话。”结果,所有这些孩子长大后都有真正的认知缺陷。

Original English

Dr. David Eagleman: the concept of language, the concept that I can name things and I can ask for things and so on. Just that never clicks in the brain. For example, in Romania at the fall of Chuchescu, there were tens of thousands of kids in the orphanages because their parents had been killed. It was too many kids. And so the staff there said, "Look, the kids will get, you know, clingy if you pay too much attention to them. So here's what we're going to do. We're going to feed the kids, but we're not going to hold them and we're not going to talk to them." And all these children grew up with real cognitive deficits as a result.

人类大脑的特殊性:可塑性的双刃剑

Dr. David Eagleman: 关于大脑可塑性,人类的大脑与动物界的邻居们相似。如果把我们的大脑和马、狗的大脑相比,基本结构都一样。但我们有更多褶皱的外层,叫做皮层,就是最外面的3毫米。也许我们稍后会回来谈谈为什么这那么重要。但大自然对我们做的另一个调整,是一些微小的基因调整。我们有更强的可塑性,适应性。以至于一匹马来到这个世界,它做的事情和十万年前的马一样,就是吃和交配。但当一个人类来到这个世界,我们学习发生在我们之前的一切,然后以此为跳板。所以我们生活在21世纪,我们会说:“哦太好了,物理、数学、这个、那个、艺术,等等,太棒了。我们拥有了之前发生的一切。现在让我们做自己的事。”这就是人类大脑可塑性的特别之处,它的适应性。

不利的一面,也就是赌博之处在于,大自然把人类大脑投放到世界上时,它们是半生不熟的,然后我们才能吸收一切。但在极少数情况下,如果你没有得到正确的输入,那就会真的陷入麻烦,因为它只有一半成熟。所以,在语言方面,我们年轻时可以学习多种语言,这很容易,但随着年龄增长会越来越难。其他各种事情也变得更难。原因是,我之前提到过,大脑的工作是建立一个世界模型,以便在其中运作。

Original English

Dr. David Eagleman: Here's the thing about brain plasticity. Human beings have a a similar brain to all our neighbors in the animal kingdom. If you compare our brain to a horse brain, a dog brain, anything like that, it's the same general structures and stuff. But what we have is much more of the wrinkly outer bit called the cortex. It's the outer 3 mm. And maybe we'll come back to why that matters so much. But the other thing that mother nature tweaked with us, it's small genetic tweaks. But we have much more plasticity, adaptability such that when a horse drops into the world, it's doing the same thing that horses did 100,000 years ago. It's just, you know, eat mate. But when a human drops in the world, we learn everything that's happened before us. And then we springboard off the top of that. So we living in the 21st century, we say, "Oh great, you know, physics, math, this, that, art, blah, blah, great. We got everything that's happened before us. Now let's do our own thing." And that's what's so special about the plasticity of the human brain, the adaptability of it. The downside, the gamble is that mother nature drops human brains into the world kind of halfbaked and we then get to absorb everything. But in the rare circumstance where you're not getting the right input, then then that ends up really in trouble because it's only halfbaked. So when it comes to language, we can learn multiple languages when we're young. That's very easy, but it gets harder and harder as that goes along. And various other things become harder. And here's why. It's because I I mentioned this earlier, but the job of the brain is to make a model of the world so it can operate within it.

Host: 你从一个拥有高流体智力的大脑,变成现在一个拥有高晶体智力的大脑。这意味着在开始时你可以学习任何东西。你可以学习任何语言。你本可以被投放到任何地方。

Original English

Host: You went from having a brain that had high fluid intelligence to now having a brain that has high crystallized intelligence. What that means is at the beginning you can learn anything. You could learn any language. You could have dropped into any area. You could have dropped into 13th century Japan when I was young.

Dr. David Eagleman: 当你还是个婴儿的时候,如果你在10世纪的蒙古从娘胎里出来,你会说:“好吧,酷。学语言。”你会成为一个10世纪的蒙古人。但事实上,你降落在这个时代,一个特定的地点、时间、社区、文化和家庭。所以你学习了这些,你也就成了那个人。我们常常认为可塑性随着年龄增长而减弱。但并非简单地减弱,而是你正在获得关于如何在这个世界上运作的正确答案。所以你不需要改变那么多。你的大脑不需要那么多改变。

Original English

Dr. David Eagleman: When you were young, when you were a baby, if you had dropped out of the womb in, you know, 10th century Mongolia, you would have said like, "Okay, cool. Learn lang." You would you would be a 10th century Mongolian. But as it happens, you dropped into this era, you know, a certain place and time and neighborhood and culture and family. And so you learn that that's who you become is that person. We often think that plasticity diminishes as you age. But it's not simply that it's diminishing. It's that you are getting the right answers about how to operate in the world. And so you don't have to change as much. Your brain doesn't require as much change.

Host: 如果我想改变呢?

Original English

Host: What if I want to change?

Dr. David Eagleman: 是的。事实证明你仍然可以改变。关键在于,大脑之所以越来越少地改变,是因为它们不必改变。但当事情颠倒时,举个例子,疫情的一切都糟透了,除了一件事,我认为那一线希望是,我们所有人都必须重新评估。哦我的天,等等,世界是怎么运作的?我以为我知道世界是怎么运作的,但现在我不知道商店里会不会有卫生纸。我不知道银行会不会开门。我不知道我能不能在咖啡店买到咖啡。就像,一切都不同了。尽管很糟糕,但挑战你对世界的内部模型,作为一个成年人这样做是非常有用的。我们通常没有机会这样做。

Original English

Dr. David Eagleman: Yes. So it turns out you still can change. That's the key is that the reason brains change less and less is because they don't have to. But when things get upside down, just as one example, everything about the pandemic really stunk, except for one thing, I think the tiny silver lining is that all of us had to reassess. Oh my gosh, wait, how is the world working? I thought I knew how the world worked, but now I don't know if there's going to be toilet paper at the store. I don't know if the bank's going to be open. I don't know if I can get coffee at the coffee shop. Like, everything was different. As awful as it was, it's really useful to challenge your internal model of the world and get to do that as an adult. We don't usually get to.

如何通过挑战重塑自我

Host: 所以,如果我想改变,你会推荐我做什么?如果我想改变自己,比如说我固执,没有动力,我想成为一个不同的人。

Original English

Host: So, if I want to change, what would you recommend that I do? If I want to if I want to change who I am, say I'm stubborn, I'm not motivated, um, and I want to be a different person.

Dr. David Eagleman: 关键是挑战。关键是寻求挑战。事实证明,我们总是想处于“令人沮丧但可实现”的水平之间。你要接受新任务,寻求新奇,让自己处于那个区域,并推动自己去做以前从未做过的事情。现代世界的一大好处是,虽然每个人都对互联网和社交媒体有抱怨,但好消息是它让你接触到比你以往所知多得多的东西。关键是积极寻求那些挑战,寻求新事物,并寻求在各个领域成为专家。而且我认为关键是,一旦你擅长某件事,你就必须放下它,去挑战你不擅长的事情。这是你能为你的大脑做的最好的事情。原因是你正在不断地在大脑中建立新的道路和通路。

Original English

Dr. David Eagleman: The key is challenge. The key is seeking challenge. So, it turns out that where we always want to be is in between the levels of frustrating but achievable. and you want to take on new tasks. You want to seek novelty to find yourself in that zone and push yourself to do things that you just haven't done before. And one of the things that's so wonderful about the modern world, you know, everyone's got complaints about the internet and social media and stuff like that, but the good news is it deep it exposes you to so much more than you ever even knew was out there. The key is to actively seek those challenges and seek new things and seek to become expert in various sorts of fields. And and I think the key is that once you become good at something, you you have to drop that and take on something you're not good at. This is the best thing that you can do for your brain. The reason is because what you're doing is you're constantly building new roadways and pathways in the brain.

认知储备:对抗大脑衰老的关键

Dr. David Eagleman: 有一项持续了几十年的研究,叫做宗教团体研究(the religious orders study),一群天主教修女同意在去世后捐献她们的大脑用于尸检。研究人员在仔细检查大脑时发现,这些修女中有一部分患有阿尔茨海默病。她们的大脑在生理上正因这种痴呆症而退化,但她们没有表现出通常会有的任何认知缺陷。她们似乎没有记忆问题等。事实证明,这是因为所有这些修女直到去世都住在修道院里。她们有社交挑战,和姐妹们有争执,也一起玩游戏,她们有杂务和责任,她们一直在做事。这意味着,即使大脑组织在生理上退化,她们也在不断地开辟新的道路和桥梁。

Original English

Dr. David Eagleman: There's a study that's been going on for for decades now called the religious orders study where a bunch of Catholic nuns agreed to donate their brains for autopsy when they passed away. What the researchers discovered when they look at the brain carefully is that some fraction of these nuns had Alzheimer's disease. Their brains were physically degenerating with the ravages of of this dementia, but they didn't show any of the cognitive deficits that one normally has. They didn't seem to be having memory problems and so on. It turns out it's because all these nuns lived in these convents till the day they died. They had social challenges and they had fights with their fellow sisters and they played games with their fellow sisters and they were they had chores and responsibilities and they were doing stuff. What that means is even as the tissue the brain tissue was physically degenerating, they were making new roadways and bridges all the time.

Host: 这就是让她们保持认知健康的原因。我们称之为认知储备。与此形成对比的是那些65岁退休回家看电视、社交圈缩小的人。那才是你真正需要担心的时候,因为你没有在建立新的通路。有数据支持这一点吗?当你退休,如果你提早退休或者在60多岁退休,会增加你早逝或认知衰退的概率吗?

Original English

Host: And so that's what kept them cognitively healthy. We call that cognitive reserve. Contrast this with with people who retire at 65 and they go home and they watch television and their social circles shrink and so on. That's when you've really got concerns because you're not building the new pathways. Is there data to support that that when you retire, if you retire early or if you retire say in your 60s, it increases your probability of an earlier death or cognitive decline?

Dr. David Eagleman: 几乎可以肯定会导致认知衰退,因为你那时已经没有挑战了。你只是在依靠你的内在模型滑行。这很悲惨,但经常发生的是,人们的听力会变差。所以当他们退休时,比如说60多岁,去派对和餐馆对他们来说已经不那么有趣了,因为他们听不太清楚。所以有各种各样的原因导致他们的社交生活萎缩。但事实证明,社交生活是我们可以为大脑做的最重要的事情之一,因为在神经科学中我们有时会用一个表达,那就是对大脑来说,没有什么比其他人更难对付的了。因为你永远不知道对方会说什么、做什么,以及他们会有怎样的情感反应等等。所以,你和别人在一起时总是保持警惕。如果你不再这样做,那就会成为一个问题。

Original English

Dr. David Eagleman: Almost certainly with cognitive decline because you're just not getting the challenge at that point. You're just coasting on your internal model. this. It's tragic, but what happens often is that people's hearing gets worse. And so by the time they retire, let's say in their mid-60s, it's not really that fun for them to go out to parties and restaurants anymore because they can't quite hear. And so there there all these converging reasons why their social lives shrink. But it turns out social life is one of the most important things that we can do for our brains because there's an expression we sometimes use in neuroscience, which is that nothing is as hard for the brain as other people. because you never know what the other person's going to say and do and how they'll react emotionally and so on. So, you're constantly on your toes with other people. And if you're not doing that anymore, that ends up being a problem.

AI与大脑:有害摩擦 vs 有益摩擦

Host: 那么,关于那些说如果你不继续写作,或者如果你把所有学习都推迟给像ChatGPT或其他AI模型,你的大脑就会萎缩的研究呢?我一直在想,如果我在商业生活中遇到难题,每次遇到难题我都把它扔给AI,AI吐出一个基于文本的答案,我复制粘贴作为我的回应。想必,我错过了学习周期或神经发展中某个重要的部分,我可能应该做的。你早些时候说过做难事,我那样做其实是在逃避难事,也就是思考和理解它。

Original English

Host: What about the you there's been a couple of studies that have come out that say things like your brain's going to atrophy if you don't continue to write or um if you just defer all of your learning to things like chatgbt or other AI models. But one of the things I've wondered is if I'm going through my business life and I'm encountering hard problems and every time I encounter a hard problem, I drop it into an AI. The AI spits out a textbased answer. I copy and paste that and send it as my response. presumably there's some kind of important part of the learning cycle or the you know neurological development that I'm like foregoing there I'm missing that I probably should you know you said earlier about doing hard things what I'm doing there is I'm avoiding the hard thing which is like thinking about it and trying to understand it

Dr. David Eagleman: 是的,我认为这里有一个非常重要的区别:我们的生活中有“有害摩擦”和“有益摩擦”。有害摩擦是所有你必须做的蠢事,比如“史蒂芬,为了你的生意,我需要你把这个电子表格复制到这里,填上所有这些单元格,然后报税”等等。好吧,如果我们能把这些推给AI,对改善人类生活将是巨大的。有害摩擦里真的没什么好处。但有益摩擦是,“史蒂芬,我真的希望你思考一下,做这个生意的最佳方式是什么?最佳的结构是什么?我们如何真正实现DTC(直接面向消费者)?我们如何实现B2B?我们要采取什么样你以前没做过但会很棒的方法?”这是有益摩擦,因为你真的在用你的大脑来学习

所以这是第一个重要的区别,就是摆脱所有的忙碌工作。那里面没有荣誉。我想提一下,在1990年代,关于我们是否应该让孩子使用台式计算器曾有过一场大辩论。感谢上帝,这个问题最终解决了,我们让孩子使用计算器,这样我们就可以花几天时间学习长除法,但你不必花六个月时间在上面,因为谁在乎呢?

对于有益摩擦,有一个真正的机会去驾驭AI的浪潮,这样你就可以在某人的帮助下解决这些难题,这个人关心你的问题,愿意24/7和你交谈,而且从不厌倦。所以你不仅仅是复制粘贴,而是和AI一起工作,想出超越你个人能想出的点子。因为我之前提到过内部模型,我们的思维围栏很窄,你可以想到所有这些事情,但你甚至不知道你不知道什么。所以,如果你能有一个愿意和你交谈的人,一个掌握了全人类知识的专家,愿意和你聊多久就聊多久,那里就有一个真正的机会,产生一种协同效应,你们共同想出的点子会比任何一方单独想出的都要好。

Original English

Dr. David Eagleman: yeah here's I think the really important distinction there's vicious friction in our lives and there's virtuous friction so vicious friction is all the stupid stuff that you have to do like hey Stephen for your business I need you to cop copy this spreadsheet over here and fill in all these cells and and do your taxes and whatever. Okay, that if we can push that off to AI is massively important for for improving human lives. There's really not benefit in vicious friction. But virtuous friction is, hey Stephen, I really want you to think about what is the optimal way to do this business. What is the best structure for this? How do we actually go DT to C? How do we go B2B on this? What's the what's the approach here that we're going to take that you haven't done before that would be amazing? That's virtuous friction because you're really using your brain to learn stuff that way. So that's the first distinction that matters is get rid of all the busy work. There's no honor in that. I mean I'll just mention in the 1990s there was this big debate about whether we should have kids use desk calculators or not. And thank god that finally got resolved and we let kids use calculators so that we can learn, you know, couple we can spend a couple days learning long division, but you don't have to spend six months on it because who cares? With the virtuous friction, there's real opportunity to surf the wave of AI so that you are figuring out these tough problems with the aid of somebody who cares about your problem and is willing to talk with you 247 and never gets tired of talking to you about it. And so you are not just copying and pasting, but you're working with the AI to come up with ideas that were beyond what you would have come up with. Because I mentioned earlier about internal models, we have pretty narrow fence lines and you can think of all these things, but you don't even know what you don't know. So, if you can have somebody who's willing to talk with you, an expert in all of humankind's knowledge, willing to talk with you about it as much as you want, there's a real opportunity there to have a synergy where collectively you both come up with a better idea than either of you could have alone.

Host: 但有没有一种方式让这种关系发生,从而让我真正受益?因为,在我给的例子里,我只是把被问到的问题扔给AI,它给我一个答案,我复制粘贴回去给问我问题的人。

Original English

Host: But is there a way for that relationship to take place so that I actually benefit? Because, you know, in the example I gave, I'm just I take the question I was asked, I put it into an AI, it gives me an answer, I copy and paste it back to the person that asked me the question.

Dr. David Eagleman: 那只会在你真的不关心问你问题的人或问题本身时发生。

Original English

Dr. David Eagleman: that would happen if you really didn't care about the person asking you the question or the question.

Host: 我的意思是,很多人都这么做。比如我收到很多邮件,因为我们面试很多加入公司的候选人,所以我有时一周会看到成千上万封邮件。我看过的那些邮件,我经常能知道,因为我们给他们发了五个问题或一个任务,我一看就觉得,这我几乎能预测是哪个模型发给我的,因为它们都有不同的个性。所以我就会想,哦,这个人用的是Gemini,或者这个人用的是ChatGPT。

Original English

Host: I mean this is what a lot of people are doing like I get so many email because you know we interview a lot of candidates who join the business and so I see tens of thousands of emails sometimes a week that I mean I don't see all of them but the ones that I see I often know that you know because we've sent them five questions or a task and I look at it and go this is I can almost predict the exact model that sent it to me because they all have a different personality so I go oh this one the person put into Gemini or this one the person put it into chatbt.

Dr. David Eagleman: 是的,没错。充满了对比性的结构,比如“不是这个,而是那个”。是的,没错。还有M-dash破折号。

Original English

Dr. David Eagleman: Yeah, exactly. And it's full of contrastive constru construction like it's not this, it's that. Yeah, exactly. And then the M dashes. Exactly.

Host: 我真正想问的是,那样做的人从中受益了吗?

Original English

Host: I'm really asking like is the person that did that benefiting from from it?

Dr. David Eagleman: 没有。

Original English

Dr. David Eagleman: No.

“努力现象”:为何我们鄙视AI生成的“垃圾内容”

Dr. David Eagleman: 嗯,没有,有几个原因。一是因为,你知道,这会触发你的警报,所以对谁都没有好处。我看到很多同事在LinkedIn上发布那些非常明显的AI内容,这让我很恼火,因为我觉得我不会花时间去读,因为我称之为“努力现象”(effort phenomenon)。在心理学中,我们很在意那些看起来花费了很多努力的事情。看到AI的帖子会让人恼火,因为它太明显是AI了。

Original English

Dr. David Eagleman: Well, no, but for a couple reasons. One is that, you know, you and it it triggers your red flag and so that does not do anyone any good. see so many of my colleagues posting on LinkedIn these very obvious AI things and it irritates me because I feel like I'm not going to spend my time reading that because of I call this this the effort phenomenon which is um in in psychology we care a lot about things that seemed like they took a lot of effort and there's something about seeing an an AI post that's just irritating because it's so obviously AI

Host: “努力现象”,这个想法很有趣。

Original English

Host: that's a really interesting idea the effort phenomenon

Dr. David Eagleman: 是的,我写这个已经有一段时间了,因为心理学研究表明,如果我给你两件艺术品,一件看起来像白色画布中间的一个红点,另一件是瓶盖堆叠并粘合成的漂亮形状,你会为那个看起来花费了大量努力的东西支付更多。人们愿意为真钻石支付比合成实验室培育的钻石更多的钱,而后者其实是完全一样的东西,只是碳在晶格中的排列。但他们觉得,哦,大自然在这颗上花费了数亿年的努力,而这颗在实验室里只花几天。所以,我们有很多方式非常在意这一点。当涉及到AI这件事时,是的,任何只是给你反馈一些东西的人,感觉就像,好吧,他们走了最省力的路,我不太感兴趣。

Original English

Dr. David Eagleman: yeah I've been I've been writing about this for a while because um it turns out there are psychology ology studies where if I offer you two pieces of art and one of them looks like, you know, let's say it's a a red dot in the middle of a white canvas and the other one is, you know, bottle caps stacked up and glued in this great shape or whatever, you'll pay you'll pay much more for the thing that looks like it took a lot of effort. People will pay more for a real diamond than a synthetic lab grown diamond, which is exactly the same thing. It's just carbon in the matrix. But they feel like, oh well, mother nature took hundreds of millions of years of effort on this one, but not over here. It just took a few days in the lab. So, there's a million ways where we care about that a lot. When it comes to this AI thing, um, yes, anybody who's just popping back something to you, it just feels like, all right, they took the the path of least resistance, and I'm not so interested.

Host: 我想从神经科学的角度知道他们是否受益。

Original English

Host: I want to know from a neuroscience perspective whether they benefit.

Dr. David Eagleman: 我推测,他们受益也不多。我的意思是,很难确切知道他们和它来回交流了多少次。他们可能说过:“嘿,ChatGPT,谢谢你,但我更偏向于这种人。当我真正思考时,是这件事激励我。”而不是你建议的。所以,有人可能投入了努力。只是我们在收到AI的回应时无法知道这一点。

Original English

Dr. David Eagleman: Presumably, they don't benefit too much either. I mean, it's hard to know exactly how many times they went back and forth with it. They could have said, "Hey, Chad GPT, thank you for this, but I'm kind of this more of this person. When I really think about it, this is the thing that inspires me." Not not what you suggested. So, so somebody could put effort into it. It's just that we can't know that when we get the AI response.

如何正确使用AI成为“超人”

Host: 我从做这个播客和所有这些剧集中学到的一件事是,一切都是权衡。如果你不知道你在做什么权衡,那么你通常处于巨大风险之中。比如我的一些朋友会说:“哦,我吃这个药,太神奇了。它为我做了所有这些事。这是我用过的最神奇的东西。我可以一天专注24小时,我现在效率超高。”我问:“那有什么坏处呢?”他们说:“哦,没有坏处。”我就想:“嗯……”所以,我的意思是,当你不知道你在做的权衡时,情况更糟。所以对于AI,我会想:“好吧,如果它让我效率或生产力大大提高,我做了什么权衡?”我认为,理解这个——可能不是两个类别,而是一个从有害摩擦到有益摩擦的谱系——但真正关注什么是有益摩擦,如果我真正投入努力,什么会让我成为一个更好的人,这很重要。

Original English

Host: One of the things I've learned from doing this podcast and all these episodes is everything is a trade-off. And and if you don't know what the trade you're making, then you're often at great risk. And so like some of my friends will say, "Oh, I take this pill and it's amazing. It does all these things for me. It's the most amazing thing ever. I can just focus for 24 hours a day and I'm so productive now. And I go, "What's the what's the downside?" And they go, "Oh, there's no downside." And I go, "Hm." Like, so that's what I mean. It's even worse when you don't you don't know the trade you're making. And so with AI, I go, "Okay, if it's making me wildly more efficient or productive, what trade am I making?" I think understanding this it's probably not two categories but a spectrum from vicious friction to virtuous friction but really paying attention to what is virtuous friction what would make me a better person if I actually put the effort into this that matters a lot.

Dr. David Eagleman: 我同意。对于我们作为教授,对于你寻找工作候选人,我们需要改变我们提问的方式。如果我们只是说“嘿,写下这五个问题的答案”,当然每个人都会用它。例如,在我在斯坦福的课堂上,我不再让学生交期末论文了。那是AI出现之前的生活。现在我让他们做项目作为期末作业,他们在项目中进行实验。当然,他们用AI来帮助他们产生一些问题,但他们必须与其他人打交道,查看数据,找出问题所在等等。

Original English

Dr. David Eagleman: and I will say for us as professors for you looking for job candidates we need to change how we're asking the questions if we just say hey write answer these five questions of course everyone's going to use it for example in my classes is at Stanford. I I don't have people turn in a final paper anymore. That was from previous life before AI. Now I have them do projects as their final thing where they're uh you know running an experiment on something. And of course they use AI to help them generate some of the issues, but they have to deal with other people and look at the data and figure out what's wrong and that kind of stuff.

Host: 我担心这正在进入你说的计算器时代,也许现在你需要评估他们使用AI的能力,而不是在没有AI的情况下取得成功的能力。

Original English

Host: I worry that it's getting into the age of, you know, the whole calculator thing you said where maybe actually it is now you need to assess them on their ability to use the AI, not to succeed without it.

Dr. David Eagleman: 是的,同意。我认为,我们所有人的整个游戏就是弄清楚如何驾驭这股AI浪潮,让它使我们成为超人。我们可以比以往任何时候都做得更好,好得多,因为我们可以立即获取我们已经忘记或从未知道存在的知识和事实。所以我们应该驾驭那股浪潮。所以我完全同意你的观点。如果你能想出如何改变你的面试问题,以便你能看到,“嘿,这个人真的能跟上速度吗?”

Original English

Dr. David Eagleman: Yeah, agreed. This is the whole game for all of us, I think, is figuring out how to surf this wave of AI where it can make us super human. We can just be better, so much better than anything we ever were doing before because we have immediate access to knowledge and facts that either we had forgotten or we never knew existed. And so we should be surfing that wave. So I I I totally agree with you on that point. If you can figure out how to change your interview questions so that you're seeing, hey, can this person really get the speed?

Host: 凭借你对学习、神经可塑性和扩展大脑的所有知识,你还有什么可以告诉观众的,关于他们应该如何使用AI,以便成为超人?

Original English

Host: With everything you know about learning and neuroplasticity and expanding one's brain, is there a anything else you can say to the audience about how they should use AI so that they become a superhum?

Dr. David Eagleman: 有趣。你看,我最近和朋友们聊了很多这个问题。我提到我在家装方面进步了很多。我的每个朋友都有类似的事情,比如“嘿,你知道吗?我实际上在这件超级随机的事情上进步了很多,我从来没想过,但因为我总是在问AI关于那个的问题,它给了我答案。”并不是它给了我答案我就忘了,而是它给了我答案,我记住了。我变得越来越好,就像亚历山大大帝有亚里士多德作为他的导师,可以问他任何问题,并从他那里学到很棒的东西。我们现在每个人的口袋里都有一个亚里士多德,我们可以在我们想做的事情上,在无论出于什么原因与我们产生共鸣的事情上,变得更好。

Original English

Dr. David Eagleman: Interesting. I you know, look, I I have been talking to my friends about this issue a lot lately and I I mentioned how I've become so much better at home improvement stuff. I just know so much more. Each one of my friends has something like that where like, hey, you know what? I've actually gotten so much better at this super random thing that I never even thought I, you know, I never thought about it explicitly, but because I'm always asking AI questions about that and it's giving me the answers. It's not simply that it gives me the answers and I forget it. It gives me the answers and I remember it. I become better and better because it's like the way that Alexander the Great had Aristotle as his tutor and could ask him anything and learn great stuff from him. We've all got Aristotle in our pocket now and we can become better at the things that we want to do, the things that resonate with us for whatever reason.

Host: 如果每个人的口袋里都有亚里士多德,一个人如何创造优势?

Original English

Host: If everyone's got Aristotle in their pocket, how does one create an edge?

Dr. David Eagleman: 我认为这关乎于我们都将跑得更快。就像史蒂夫·乔布斯推出苹果电脑时说,这是思想的自行车。他的意思是,数百万年来我们一直双足行走,然后在进化的最后一纳秒,我们发明了自行车,人类突然可以因为自行车移动得更快。他说个人电脑就像思想的自行车。我现在认为AI就像思想的摩托车。它让我们移动得快得多。所以现在这是一场摩托车比赛,会有人比其他人快得多,因为他们真正地在最佳地使用它。

Original English

Dr. David Eagleman: I think it has to do with we're all just going to be running faster. In the same way that when Steve Jobs introduced Apple computers, he said this is like a bicycle for the mind. What he meant by that was that for millions of years we've been walking bipedily and and then just in the last nancond of evolution we invented the bicycle and suddenly humans can move faster because of the bicycle and he said having a personal computer is like a bicycle for the mind and I think of AI now as like a motorcycle for the mind it's it allows us to move so much faster so now it's a motorcycle race and there will be people who are much faster than other people because they're really using that optimally.

如何实践:让AI挑战你的盲点

Host: 我每周与AI交流时,可以养成什么样的习惯,来扩展我大脑的连接,给我一个大的认知储备呢?

Original English

Host: What might I I install as a practice every week when I'm speaking to my AI? to expand my brain and give me a big cognitive reserve.

Dr. David Eagleman: 哦,问它你对任何事情感到好奇的问题。就是提问。这是我一直做的一件事。我会说,“嘿,我一直在想这个。”你知道,在我的播客上,我做很多独白,所以我开始和它交谈,我会说,“嘿,我有一个正在思考的想法。如果这样那样会怎么样?”然后我会说,“这是我的想法。给我利弊。”你知道,告诉我为什么这是错的。我几乎对我问它的每一件事都这样做,如果我提出一些愚蠢的想法的种子,它真的会给我反驳的论点,我真的会和它进行互动。我认为,这才是重要的部分。顺便说一句,我想说,对于我们正在教导的下一代,我们真正能教的只有两件事,因为所有细节,比如“嘿,我们来教计算机编程吧”,这可能已经过时了。所以我们能教的是批判性思维和创造力。就是这样。

Original English

Dr. David Eagleman: Oh, ask it questions that you're curious about about anything. Just asking questions. Here's one thing I do all the time. I'll say, "Hey, I've been thinking about this. You know, I on my podcast, I do a lot of monologues and so I'll start talking to it and I'll say, "Hey, I've got this idea that I'm thinking about. What if blah blah blah blah." And then I'll say, "Here's my idea. Give me pros and cons." You know, tell me why this is wrong. And I do that pretty much with everything that I ask it if I'm proposing some, you know, stupid seed of an idea and it really gives me the counter arguments and I really engage with it. That is the important part, I think. And by the way, I just want to say I think for the next generation that we're teaching this, there really only two things we can teach because all the details of, you know, hey, let's teach computer programming or something, that's probably already gone as a useful thing. So what we can teach is critical thinking and creativity. That's it.

Host: 我认为这一点非常重要,就是让你的AI告诉你你可能在哪里错了。我觉得我大多数的范式转变时刻,都是在我带着极高信念去使用一个AI模型时发生的。那个总能扩展我知识广度的提示是,当我对它说:“对你的观点要绝对诚实。独立思考,保持客观,告诉我我的盲点在哪里。”我们内心深处都有不想犯错的本能。我们常常,我认为这是一种自然的反射,这就是为什么人们会陷入政治意见的回音室。利昂·费斯廷格谈到过认知失调这个概念,当你相信的东西与新信息冲突时,会让你感到不舒服。但当我打出那句话时,当我热爱我写的想法、备忘录或这个新点子时,然后我说“告诉我为什么我完全错了”,它把我批得体无完肤,这既不舒服,又感觉极其重要,因为那样我就成长了。但这些AI,它们几乎被编程来拍我马屁。

Original English

Host: I think that's such an important point, this point about asking your AI why you might be wrong. I I think I've had most of my paradigm shifting moments when I've come to an an AI model that I was using with a very with very high conviction. And the prompt that always I think is most sort of expansive in terms of my intellectual knowledge is when I say to it, be brutally honest about your opinion. Think for yourself and be objective and tell me where my blind spots are. There's something innate with within us all where we don't actually want to be wrong. We often I think as a natural reflex and this is why people get really sort of trapped in echo chambers of political opinion and you know Leon Fesser talked about this idea of cognitive dissonance when something you believe contrasts with new information and how it makes you feel uncomfortable there's something when I type that out when I when I love the idea or the thing I've written or the memo I've written this new idea and I go on tell me why I'm completely completely wrong and it eviscerates me it is both uncomfortable but it feels incredibly important because then then it's like I've I've grown. But these AIs, they're they're programmed almost to like kiss my ass.

Dr. David Eagleman: 是的。虽然,你知道,ChatGPT大概一年前发布了一个非常谄媚的版本。意思是它会恭维你。你给出一个想法,它会说:“哦,史蒂芬,这是我听过的最好的主意。你是个天才,等等。”那个模型没持续多久,因为没人真的喜欢它。所以,你完全正确。而且我敢肯定大多数听众都知道,但你可以告诉你的AI一直对你残酷地诚实。你可以一直告诉它们这样做,它们就会这样做。所以你可以建立你正在交谈的对象的类型。事情是这样的。你说的对,当然,人们不喜欢犯错。这可能在社交上令人尴尬,也可能不舒服。然而,当你和你的AI交谈时,情况就大不相同了。这是一件非常私密的事情。你说:“嘿,告诉我为什么我错得离谱。”当它告诉你时,你会想:“哦,谢天谢地是它告诉我,而不是一个真正的人。”所以我认为很多那种感觉在AI这里得到了缓解。我们在那里犯错时感觉没那么糟。

Original English

Dr. David Eagleman: Yes. Although, you know, Chatupati released a very sickopantic version, I don't know, maybe a year ago. Meaning it compliments you. You give some idea and it says, "Oh, Stephen, that's the best idea I've ever heard. You're a genius and blah blah." And that didn't last very long, that model, because nobody actually liked it. So, you're exactly right. And and I'm sure most listeners know this, but you can tell your AI to be brutally honest with you all the time. You can tell them to do that all the time and it'll do that. So you can you can establish the kind of person that you're talking to. Here's the thing. You're right. Of course, people don't like to be wrong. It can be socially embarrassing. It can be uncomfortable. And yet, there's something very different when you're talking to your AI. It's a very private thing. And you say, "Hey, tell me why I'm brutally wrong." And when it tells you, you think, "Oh, thank God it's telling me that instead of like a real human." So I I think a lot of that is alleviated with AI. We we don't feel as bad about being wrong there.

AI与创造力:生成与筛选

Host: 我经常听到AI永远无法创造的说法。

Original English

Host: I often hear the claim that AI could never be creative.

Dr. David Eagleman: 它极具创造力。原因如下。大脑中的创造力,所有的创造力,就是你吸收你的世界,你周围的整个世界,你曾经有过的每一次经历。然后你弯曲、打破、混合这些认知概念,形成新的混搭。这就是创造力的全部。你一直在这样做。无论你只是想下一个要说什么,下一个要做什么菜,下一个要申请什么专利,或者下一个要开什么公司,你都只是在重新混合你已经知道的东西。这就是为什么,比如说贝多芬,他本可以写出世界上任何地方正在做的任何一种音乐。但当然,他没有。他成长过程中接触的是他本地文化中的音乐等等。我们现在有更广泛的“食谱”,正如我之前提到的,我们可以吸收一切。但我想在这里强调的一点是,AI就是这么做的。它重新混合已经输入的东西。所以AI极具创造力AI目前无法做到的创造力部分是筛选。也就是说,它可以生成100张图片,但它不知道该选哪一张。它不知道哪一张最吸引你。但它可以漂亮地重新混合。

Original English

Dr. David Eagleman: It's massively creative. Here's why. Creativity in the brain, all creativity is is you absorb your world. the whole world around you, every experience you've ever had. And then you're bending and breaking and blending those cognitive concepts into new remixes. That's all creativity is. And you're doing that all the time. Whether you're just trying to think of what to say next or what recipe to make next or what patent to do or what company to start, you're just remixing the stuff that you already know. And that's why, you know, I don't know, take Beethoven, he could have written any kind of music that was being done anywhere in the world. But of course, he didn't. like that's what he grew up with was the music and his local culture and so on. What we have now is a much broader diet as I mentioned before where we can get everything going in. But the point I want to make here is that AI that's what it does. It remixes stuff that's come in. So AI is massively creative. The part of creativity that AI can't do right now is selection. Meaning it can generate a 100 pictures but it doesn't know which one to pick. It doesn't know which one is going to be the most appealing to you. But it can remix beautifully.

Host: 但人类也做不到,对吧?如果我让一个实习生给我做100张图,我可以让我的AI选一张,但实习生或AI都不知道我最爱哪一张。

Original English

Host: But neither do humans, right? So if I asked an intern to make me 100 pictures, I mean, I could get my AI to pick one, but it wouldn't know what the intern or the AI wouldn't know which one I loved.

Dr. David Eagleman: 实习生成功的机会要大得多。而且当实习生在那儿待了一段时间后,他或她会变得很擅长把握:“哦,好的,我懂史蒂文的品味了。应该是这张。”

Original English

Dr. David Eagleman: The intern would have a much better shot at it. And as the intern is there for a while, he or she becomes quite good at getting, oh, okay, I get Steven's taste. It would be this one.

Host: AI不能学习我的品味吗?

Original English

Host: And the AI can't learn that what my taste is.

Dr. David Eagleman: 我不认为AI能学习关于视觉图像的品味,因为当它生成像素时,它在底层做的是一些神奇的事情,决定哪些像素以及它们如何融合在一起,混合成图像,但它不知道如何解读那张图像,比如“哦,是的,这张图的方式和等等会真正吸引史蒂夫。”它没有把图像看作图像,而是一堆像素。

Original English

Dr. David Eagleman: I don't think the AI could learn that about visual images because when it generates the pixels, it's doing this, you know, this magical stuff under the hood where it's deciding which pixels and how they diffuse together and, you know, mix the image, but it doesn't know how to read that image like, oh yeah, the way this is and blah blah that'll really appeal to Steve. It does it it's not seeing the image except as a bunch of pixels. Hm. Hm.

Host: 你需要成为人类才能做到。

Original English

Host: You need to be a human for that

Dr. David Eagleman: 有趣的是,人类艺术在不断进化,而所有AI训练的都只是过去已经做过并且成功的东西。所以如果我让它,比如说我们创作了五首不同的歌,然后说:“嘿AI,哪首歌会更好?”它会说一些在流行歌曲分布中间的东西。但这并不是明年和后年真正能成功的东西。是新的东西。是没人见过的新花样。那才是我们喜欢的。那才是我们作为消费者所寻求的。所以因为AI只能在已经存在的东西上训练,它永远也抓不到前沿的新东西。

Original English

Dr. David Eagleman: Quite possibly. But here's the interesting thing. Human art constantly evolves and all AI is trained on is what has been done before and what has worked. And so if I asked it, let's say we composed five different songs and said, "Hey AI, which song is going to be better?" It's going to say something that's right in the middle of the distribution of popular songs. But that's not what actually makes it next year and the year after. It's new things. It's new twists that that nobody has seen before. That's what we love. That's what we seek as consumers. And so because AI can only be trained up on what already exists, it's never going to get the new thing at the edge.

新奇与熟悉的平衡

Dr. David Eagleman: 事情是这样的,我们都知道,密码永远不会持久。所以人类有一种拉力,他们总是在新奇和熟悉之间寻找东西。所以我们喜欢我们认识的品牌,我们认识歌手以前做过的事情。但必须有新奇感,否则我们就不会去追求。我们不会在接下来的十年里听那个男孩乐队一遍又一遍地唱同一首歌。所以你当然是对的,我们想要一点熟悉感,我们想要被锚定,但我们绝对寻求新的东西。这就是人类总是做的事情。这就是为什么汽车公司总是发布下一款车型,即使当前车型完全没问题。这就是为什么发型会演变。这就是为什么时尚会随着岁月演变。因为我们总是关心新奇。

Original English

Dr. David Eagleman: right? But here's the thing and you know that we all know this which is that the code never lasts. So humans have this pull where they're always seeking things between novelty and familiarity. So we like things where we recognize the brand and we recognize what the singer has done before. But there has to be novelty or else we're not going to go for it. We're not going to listen to that boy band for the next 10 years doing the same song over and over. So you're of course right that we, you know, we want a bit of familiarity. We want to be anchored, but we definitely seek the new. This is what humans always do. This is why car companies always release the next model even though the current model is perfectly fine. This is why haircuts evolve. This is why fashion evolves through the years. Um because we always care about novelty.

Host: 唱片业和广播业让某样东西变得熟悉的方式是,他们在每个电台长时间地播放同一首歌,直到它突破了仅仅是新奇的界限,变得熟悉。我看到这个图表显示,你会喜欢的歌曲就在中间,它足够新,你还感兴趣,但现在又因为你听了很多次而变得熟悉,所以你爱上了它。如果听众第一次听一首歌,可能不会像听了20次后那么喜欢。

Original English

Host: So the way that the record industry and the radio industry make something familiar is they blast the same song at you on every radio station for a long period of time until it breaks past being just novel, just new and it becomes familiar. And like I saw this graph which shows that the a song that you'll love is right there in the middle of like it's new enough that you're still into it but it's um familiar now because you've heard it so many times that you love it and you'll if anyone listening the first time you hear a song you might not love it as much as once you've heard it like 20 times

Dr. David Eagleman: 然后在某个时刻,你听得太多了。是的。它就从曲线的另一边下来了,现在太熟悉了。

Original English

Dr. David Eagleman: and then at some point you've heard it too much. Yeah. And it comes back down the other side of the cover where it's now too familiar.

Host: 是的。完全正确。所以我们总是在中间寻求那种张力。公司也总是遇到这个问题。比如有时他们尝试的东西太新奇,结果完全失败。你知道,可口可乐很久以前就试过这个,推出了新可乐,但没人喜欢。还有一些公司,比如黑莓,就是那个有实体键盘可以按的手机。他们失败了,因为他们改变得不够快。但无论如何,能成功的公司总是待在那个甜蜜点。

Original English

Host: Yeah. That's exactly right. And so we're always seeking that tension in the middle. And yeah, companies run into this all the time. Like sometimes they try things that are too novel that just completely fail. You know, Coca-Cola tried this a long time ago with introducing new Coke and no one liked it, whatever. Um, and other companies like what was that company? Blackberry with the the little thumb things that you can press the physical keyboard on the phone. They failed because they wouldn't change fast enough. But anyway, companies that make it are always staying in that uh sweet spot.

最终的回归:技术迫使我们更人性化

Dr. David Eagleman: 我完全同意你。我觉得这很有趣。我前几天在LinkedIn上发了一个帖子,说AI一个有趣的悖论或结果可能是,技术的每一次迭代都让我们变得不那么人性化。而现在,智能可能已经发展到了一个地步,它正在迫使我们变得更人性化,因为这几乎是剩下的唯一的东西了。也许技术已经变得太好了,就像社交媒体在任何方面都没有让我们更人性化。但也许这就是那个时刻,它说,我们搞定了这个,现在去做只有你作为人类才能做的事吧。比如,走出去,泰勒·斯威夫特,在现实生活中在人们面前唱歌。

Original English

Dr. David Eagleman: I completely agree with you. I think I think it's so funny. I did a post on LinkedIn the other day saying that maybe the like interesting paradox or interesting outcome of AI is that every other iteration of technology made us less human. And maybe the intelligence now has gotten to a point where it's now forcing us to be more human because that is all that kind of remains in a way that maybe the the technology has gotten so good like social media didn't make us more human in any capacity. But maybe this is the moment where it goes we've got this now go do what only you as a human can do which is like go out there Taylor Swift and sing in front of people IRL.

Host: 去做一些现实世界的事情。即使是护士和医生,也许他们不应该再填写行政文件和文书工作了。也许他们应该握着你的手,给你只有人类才能提供的现实生活中的关怀。

Original English

Host: Go and do something in the real world. Even for like nurses um and doctors, maybe they shouldn't be filling out admin and paperwork anymore. Maybe they should be holding your hand and giving you, you know, in real life care that only a human could do.

Dr. David Eagleman: 我完全同意。

Original English

Dr. David Eagleman: I totally agree.

Host: 所以也许这就是所有这一切的积极一面,我们终于走上了这段技术之旅,它终于兑现了它的承诺。

Original English

Host: And so maybe that's the like the the positive upside to all of this is um finally, you know, we've been on this journey with technology and finally it's delivered upon its promise.

Dr. David Eagleman: 我完全同意。顺便说一句,你知道,AI关系,据一个估计,有十亿人正在和AI建立关系,就像男女朋友那样的关系。好吧?所以对于我们这些在那之前长大的人来说,我们觉得,“哦天哪,这太奇怪了。”但实际上,我认为它可能会变得有帮助,因为它可以成为一个沙盒,只要我们有适当的反馈。最终,我们有数百万年的进化驱使我们与所爱的人在一起,触摸另一个人,看星星,带她去和你父母共进晚餐,所有这些我们都在乎。所以我认为人们有时谈论的那种担忧,“哦,人们只会和他们的AI关系待在手机上”,对几乎每个人来说都是不现实的。因为它给了我们一个机会,希望能在关系方面进行一些沙盒演练,克服一些关于关系的愚蠢事情,然后我们才能真正和我们的人类同伴在一起。

Original English

Dr. David Eagleman: I totally agree. And by the way, you know, AI relationships, by one estimate, there's a billion people having relationships with AI, like a girlfriend or boyfriend kind of thing. Okay? And so for people like us who grew up before that existed, we think, "Oh my gosh, that's weird." But in fact, I think it might become helpful because it can be a sandbox as long as we have the proper feedback. In the end, we have millions of years of evolution driving us towards being with the person you love, touching another human being, watching the stars, taking her out to dinner with your parents, like all you know, we care about that. And so this worry that people sometimes talk about about oh people are just going to be on their phone with their AI relationship I don't think is realistic for almost everybody because it gives us the chance to you know hopefully sandbox some things about relationships and get over some dumb things with relationships and then we can actually be with our fellow humans.

如何预防痴呆症

Host: 关于痴呆症,我知道这是很多人担心的。越来越多的人患有痴呆症。事实上,如果我想预防痴呆症,大卫,你会给我什么建议?

Original English

Host: as it relates to things like dementia, which I know is a fear that a lot of people have. A lot of people are suffering with dementia, I think increasingly. In fact, if I was trying to save off dementia, what advice would you give me, David?

Dr. David Eagleman: 是的,保持你的大脑活跃。直到你去世的那一天都要保持活跃。接受新的挑战。一旦你擅长某件事,比如数独,就放下它,去挑战你不擅长的事情。

Original English

Dr. David Eagleman: Yeah, keep your brain active. Keep it active till the day you die. Take on new challenges. And as soon as you get good at something like, you know, sudoku, drop it and pick up some that you're not good at.

Host: 用简单的话说,为什么?

Original English

Host: And in simple terms, why?

Dr. David Eagleman: 因为你正在迫使你的大脑做出改变。否则,你的大脑会说:“好了,我搞定了。我了解这个世界了。我明白发生了什么。我没有特别需要改变的。”而事实是,大脑的结构总是在退化。当你患上像阿尔茨海默病这样的疾病时,它退化得更快。而你想要一直做的,就是修建新的道路,开辟以前从未走过的新路径。

Original English

Dr. David Eagleman: It's because you're forcing your brain to make changes. Otherwise, your brain says, "Okay, I got this. I got the world. I understand what's going on. There's no real particular need for me to change." And the fact is that the structure of the brain is always degenerating. And when you get something like a disease like Alzheimer's disease, it degenerates much faster. And what you want to always be doing is building new roadways and fashioning new paths that had not been walked before.

Host: 这样就有更多的东西可以退化,一旦退化开始,我剩下的就更多了。

Original English

Host: So that there's more to degenerate, which gives me more left over once that degeneration begins.

Dr. David Eagleman: 是的,我认为这是一个很好的看待方式。你的通路正在瓦解,如果你能建立新的通路——这需要努力,你必须真正关心、追求并去做那件事——即使事情的某些部分已经瓦解,你仍然有办法从A点到达B点。

Original English

Dr. David Eagleman: Yeah, I that's Yeah, I think that's a good way to look at it. your pathways are falling apart and if you can build new pathways which requires effort you have to actually care and pursue and do the thing even as parts of the thing have fallen apart you still have ways of getting from A to B

Host: 我需要远离哪些化学物质、补充剂或食物?

Original English

Host: what do I need to stay away from in terms of chemicals or supplement I don't know or food I don't know

Dr. David Eagleman: 是的,显然,现在越来越强调获得良好的睡眠和良好的饮食,这些东西真的很重要。我认为这对大脑非常有用。我的意思是,观察最新一代在酒精消费方面的变化是很有趣的。我住在硅谷北部,那里有很多拥有酿酒厂的人,他们正在出售一半的土地。看到那里发生的事情绝对是迷人的。我想说,我有一个20多岁的朋友说她支持恢复饮酒。为什么?因为她说我们去派对,一切都很尴尬,没人知道如何与人交谈。所以他们错过了其他东西。他们错过了我们成长过程中都享受过的“犯傻错误”类别。所以,这确实是一个非常有趣的平衡,关于一个人想要变得多节制。

Original English

Dr. David Eagleman: yeah obviously there's just been a lot more emphasis on getting good sleep and good diet and this stuff really matters I think that's really useful for the brain I mean it's fascinating to watch what's happened in the latest generation in terms of alcohol ol consumption. I live up in in Silicon Valley and there's a lot of people who have wineries just north of me and they're like selling half their acorage. It's absolutely fascinating to see what's happening there. I will say I have a friend who's who's in her 20s who said that she's in favor of bringing drinking back. Why? Because she said we go to parties and everything's so awkward and no one knows how to talk to one another. And so they're missing something else. they're missing the the dumb mistakes category that we all got to enjoy growing up. So, it it is a really interesting balance of of how abstious one wants to become.

最终愿景:复杂化关系,减少极化

Host: 我们有一个结束传统,上一位嘉宾为下一位嘉宾留一个问题,而不知道他们是为谁留的。留给你的问题是,在未来10年里,你最希望我们的星球发生什么?

Original English

Host: David, we have a closing tradition where the last guest leaves a question, the next guest, not knowing who they're leaving it for. Question left for you is, what do you wish most for our planet over the next 10 years?

Dr. David Eagleman: 嗯,我认为我会回到关于关系复杂化的那一点,也就是说,如果我们能稍微聪明一点,理解外群体的人也是有生命、有自己生活的人。这不等于我们必须爱他们或同意他们,但如果我们能达到那一点,我认为我们永远不会达到世界和平,但至少我们的极化会稍微少一些。所以我绝对支持这一点,我认为这是可能的,而且我认为AI可以帮助我们实现这一点,通过在这些点上挑战我们,说:“嘿,那个你已经作为外群体摒弃的群体,如果我告诉你这个人的这个故事呢?如果我把你介绍给这个人呢?”这类事情。你知道,现在涌现了各种各样的社会运动,让不同政治观点的人聚在一个房间里互相交谈。再说一遍,不是说任何人必须改变主意,但他们可以说:“嘿,你知道吗?我真的很喜欢那个人。我认为那是个很酷、很贴心、很好的人。现在我明白了,一个我亲眼见到的人,在这个问题上和我的观点完全不同。”

Original English

Dr. David Eagleman: You know, I think I would come back to this piece about the complexification of relationships, which is to say, if we could just get a little bit smarter about understanding people out groups as being humans with lives with their own thing going on. doesn't mean we have to love them or agree with them, but if we can just get to that point, I don't think we'll ever hit world peace, but at least we'd have slightly less polarization. So, I'm I'm definitely in favor of that and I do think it's possible and I do think AI can help us get there by challenging us on these points and saying, "Hey, that group that you've already dismissed as an out group, what if I told you this story about this person? What if I introduced you to this person?" That kind of stuff. and you know having there's all kinds of social movements that have sprung up that allow people of different political opinions to come together in a room and talk with one another again it's not that anyone has to change their mind but they can say hey you know what I really like that person I thought that was a cool person a sweet person nice person and and now I understand that somebody who I have seen with my own eyes has a different opinion on this than idea

Host: 这在某种程度上是一厢情愿吗?

Original English

Host: is that wishful thinking to some degree

Dr. David Eagleman: 我不这么认为,因为这些事情到处都在发生。

Original English

Dr. David Eagleman: I don't think so because these things are happening all over the place and and

Host: 宏观上是分裂,不是吗?是极化,回音室。现在有,我想现在有20个社交网络,或者某个疯狂的数字,用户超过2000万,这意味着社交网络正在分裂成各种小众和兴趣群体。你知道,有像Rumble和Bumble,然后有Threads、X、Facebook、Snap、Instagram等等,我们看到的是越来越多的兴趣群体。

Original English

Host: the macro is is division isn't it It's polarization echo chambers. There's now I think there's now 20 social networks or some crazy number that have more than 20 million people on them which means that social networks are splintering off into niches and interests and you know there's like Rumble and Bumble and then there's like threads and X and Facebook snap Instagram and and what we're seeing is more and more interest group.

Dr. David Eagleman: 我要说的是,关于回音室,绝对没有什么新鲜的,因为你的邻居、你的社区等等,你一直以为那就是现实。我实际上对互联网的存在本身持相当乐观的态度,因为至少我们接触到了存在许多不同观点这一事实。以前在像苏联这样的地方,他们严格控制媒体,所以你看到的一切都是经过新闻审查的故事,但现在你能看到所有的观点。当然,很多观点可能会让你发疯,但至少你知道有人相信那些。我认为这真的很有用。如果我必须在国家控制的单一故事和看到整个混乱的观点光谱之间做选择,我宁愿选择后者。

Original English

Dr. David Eagleman: Yeah. Here's what I would say. There's absolutely nothing new about echo chambers because it was always the case that your neighbors and your community and whatever, that's what you thought was reality. I'm actually quite optimistic about the existent the mere existence of the internet because at least we are exposed to the fact that there are lots of different points of view. It used to be in places like the USSR, they controlled the media tightly so that everything you saw was a news um approved story, but now you see all the points of view. Now, many of them might drive you crazy and whatever, but at least you know that there are people out there that believe in that. And I think that's really useful. If I had to decide between state control where there's a single story or seeing the whole messy spectrum of opinions, I'd rather see the latter.

📌 文中提及的人物和组织

关键字: brain-plasticity neuroscience cognitive-reserve human-ai-interaction virtuous-friction