第 471 期

桑达尔·皮查伊:谷歌与 Alphabet 首席执行官

Sundar Pichai: CEO of Google and Alphabet

谷歌与 Alphabet 掌门人谈搜索的演变、AI 竞赛中的取舍、公司管理,以及长期技术押注的判断。

官方音频00:00 / --:--
中英对照:英文为官方 Transcript 原文,中文为逐句机器翻译(Google 神经机器翻译),仅供学习英文参考,请以英文原文为准。
Sundar Pichai00:00

It was a five-year waiting list, and we got a rotary telephone.

这是一个五年的等待名单,我们得到了一部旋转电话。

00:00 But it dramatically changed our lives.

但它极大地改变了我们的生活。

People would come to our house to make calls to their loved ones.

人们会来我们家给亲人打电话。

I would have to go all the way to the hospital to get blood test records and it would take two hours to go and they would say, “Sorry, it’s not ready.

我必须大老远去医院取血检记录,需要两个小时,他们会说:“抱歉,还没准备好。

Come back the next day.”, two hours to come back.

第二天再来。”,还有两个小时回来。

And that became a five-minute thing.

这变成了五分钟的事情。

So as a kid, this light bulb went in my head, this power of technology to change people’s lives.

所以当我还是个孩子的时候,这个灯泡就进入了我的脑海,这种技术的力量改变了人们的生活。

00:32 We had no running water.

我们没有自来水。

It was a massive drought, so they would get water in these trucks, maybe eight buckets per household.

当时正值大旱,所以他们会用卡车取水,每户可能有八桶。

So me and my brother, sometimes my mom, we would wait in line, get that and bring it back home.

所以我和我的兄弟,有时是我的妈妈,我们会排队等候,拿到它并把它带回家。

Many years later, we had running water and we had a water heater, and you could get hot water to take a shower.

许多年后,我们有了自来水,有了热水器,可以用热水洗澡了。

For me, everything was discreet like that.

对我来说,一切都是那么谨慎。

01:02 So, I’ve always had this thing, first-hand feeling of how technology can dramatically change your life, and the opportunity it brings.

所以,我一直对技术如何极大地改变你的生活以及它带来的机会有切身的感受。

I think if p(doom) is actually high, at some point, all of humanity is aligned in making sure that’s not the case, and so we’ll actually make more progress against it, I think.

我认为,如果 p(doom) 实际上很高,那么在某个时刻,全人类都会团结起来,确保情况并非如此,所以我认为,我们实际上会在对抗它方面取得更多进展。

So the irony is there is a self-modulating aspect there.

具有讽刺意味的是,那里有一个自我调节的方面。

I think if humanity collectively puts their mind to solving a problem, whatever it is, I think we can get there.

我认为,如果人类共同致力于解决问题,无论是什么问题,我认为我们都能实现这一目标。

01:38 Because of that, I think I’m optimistic on the p(doom) scenarios, but that doesn’t mean I think the underlying risk is actually pretty high.

正因为如此,我认为我对 p(doom) 情景持乐观态度,但这并不意味着我认为潜在风险实际上相当高。

But I have a lot of faith in humanity rising up to meet that moment.

但我对人类会奋起迎接那一刻充满信心。

Lex Fridman01:55

Take me through that experience, when there’s all these articles saying, ” You’re the wrong guy to lead Google through this.

请带我回顾一下那次经历,当时所有这些文章都在说:“你是领导谷歌解决这个问题的错误人选。

01:55 Google’s lost.

谷歌输了。

It’s done.

完成了。

It’s over.”

结束了。”

02:08 The following is a conversation with Sundar Pichai, the CEO of Google and Alphabet on this, the Lex Fridman podcast.

以下是与 Google 和 Alphabet 首席执行官 Sundar Pichai 就 Lex Fridman 播客进行的对话。

02:18 Your life story is inspiring to a lot of people.

您的人生故事启发了很多人。

It’s inspiring to me.

这对我很有启发。

You grew up in India, whole family living in a humble two-room apartment, very little, almost no access to technology.

你在印度长大,全家人都住在一间简陋的两居室公寓里,几乎没有接触到科技的机会。

And from those humble beginnings, you rose to lead a $2 trillion technology company.

您出身卑微,后来领导了一家价值 2 万亿美元的科技公司。

02:41 If you could travel back in time and told that, let’s say, twelve-year-old Sundar that you’re now leading one of the largest companies in human history, what do you think that young kid would say?

如果你能回到过去,告诉 12 岁的 Sundar,你现在领导着人类历史上最大的公司之一,你认为那个年轻人会说什么?

Sundar Pichai02:51

I would’ve probably laughed it off.

我可能会一笑置之。

02:51 Probably too far-fetched to imagine or believe at that time.

也许在当时还太牵强,无法想象或相信。

Lex Fridman03:00

You would have to explain the internet first.

你必须先解释一下互联网。

Sundar Pichai03:02

For sure.

一定。

03:02 Computers to me, at that time, I was 12 in 1984, so probably…

计算机对我来说,1984 年,当时我 12 岁,所以可能……

By then, I’d started reading about them, but I hadn’t seen one.

那时,我开始阅读有关它们的文章,但我还没有见过。

Lex Fridman03:16

What was that place like?

那个地方是什么样的?

03:16 Take me to your childhood.

带我去你的童年吧

Sundar Pichai03:19

I grew up in Chennai.

我在钦奈长大。

03:19 It’s in south of India.

它位于印度南部。

It’s a beautiful, bustling city, lots of people, lots of energy, simple life.

这是一座美丽、繁华的城市,人口众多,精力充沛,生活简单。

Definitely fond memories of playing cricket outside the home.

在家里打板球绝对是美好的回忆。

We just used to play on the streets.

我们以前只是在街上玩。

All the neighborhood kids would come out and we would play until it got dark and we couldn’t play anymore, barefoot.

所有邻居的孩子都会出来,我们会玩到天黑,我们不能再赤脚玩了。

Traffic would come.

交通就会来。

We would just stop the game.

我们只会停止比赛。

Everything would drive through and you would just continue playing, just to get the visual in your head.

一切都会过去,你只需继续玩,只是为了在你的脑海中获得视觉效果。

03:51 Pre computers, there a lot of free time, now that I think about it.

现在想起来,在没有计算机之前,有很多空闲时间。

Now you have to go and seek that quiet solitude or something.

现在你必须去寻找那种安静的孤独之类的东西。

Newspapers, books is how I gained access to the world’s information at the time [inaudible 00:04:06].

报纸、书籍是我当时获取世界信息的方式 [听不清 00:04:06]。

04:07 My grandfather was a big influence.

我的祖父对我影响很大。

He worked in the post office.

他在邮局工作。

He was so good with language.

他的语言非常好。

His English…

他的英语...

His handwriting, till today, is the most beautiful handwriting I’ve ever seen.

他的字迹,直到今天,都是我见过的最漂亮的字迹。

He would write so clearly.

他会写得这么清楚。

He was so articulate, and so he got me introduced into books.

他非常善于表达,所以他让我接触了书籍。

He loved politics.

他热爱政治。

We could talk about anything.

我们可以谈论任何事情。

04:33 That was there in my family throughout.

我的家人一直都这样。

Lots of books, trashy books, good books, everything from Ayn Rand to books on philosophy to stupid crime novels.

很多书,垃圾书,好书,从安·兰德到哲学书再到愚蠢的犯罪小说,应有尽有。

Books was a big part of my life, but the soul, it’s not surprising I ended up at Google, because Google’s mission always resonated deeply with me.

书籍是我生活的重要组成部分,但对于灵魂来说,我最终来到谷歌并不奇怪,因为谷歌的使命总是与我产生深刻的共鸣。

This access to knowledge, I was hungry for it.

这种获取知识的方式,让我如饥似渴。

04:58 But definitely have fond memories of my childhood.

但绝对给我的童年留下了美好的回忆。

Access to knowledge was there, so that’s the wealth we had.

获取知识的途径就在那里,所以这就是我们拥有的财富。

Every aspect of technology I had to wait for a while.

技术的每一个方面我都不得不等待一段时间。

I’ve obviously spoken before about how long it took for us to get a phone, about five years, but it’s not the only thing.

我之前显然已经说过我们花了多长时间才得到一部手机,大约五年,但这并不是唯一的事情。

Lex Fridman05:15

A telephone?

电话?

Sundar Pichai05:16

There was a five-year waiting list, and we got a rotary telephone.

有一个五年的等待名单,我们得到了一部旋转电话。

05:16 But it dramatically changed our lives.

但它极大地改变了我们的生活。

People would come to our house to make calls to their loved ones.

人们会来我们家给亲人打电话。

I would have to go all the way to the hospital to get blood test records, and it would take two hours to go and they would say, “Sorry, it’s not ready.

我必须大老远去医院取血检记录,而且要花两个小时,他们会说:“对不起,还没准备好。

Come back the next day.”, two hours to come back.

第二天再来。”,还有两个小时回来。

And that became a five-minute thing.

这变成了五分钟的事情。

So as a kid, this light bulb went in my head, this power of technology to change people’s lives.

所以当我还是个孩子的时候,这个灯泡就进入了我的脑海,这种技术的力量改变了人们的生活。

05:48 We had no running water.

我们没有自来水。

It was a massive drought, so they would get water in these trucks, maybe eight buckets per household.

当时正值大旱,所以他们会用卡车取水,每户可能有八桶。

So me and my brother, sometimes my mom, we would wait in line, get that and bring it back home.

所以我和我的兄弟,有时是我的妈妈,我们会排队等候,拿到它并把它带回家。

Many years later, we had running water and we had a water heater, and you could get hot water to take a shower.

许多年后,我们有了自来水,有了热水器,可以用热水洗澡了。

For me, everything was discreet like that.

对我来说,一切都是那么谨慎。

So, I’ve always had this thing, first-hand feeling of how technology can dramatically change your life, and the opportunity it brings.

所以,我一直对技术如何极大地改变你的生活以及它带来的机会有切身的感受。

That was a subliminal takeaway for me throughout growing up.

这是我整个成长过程中的潜意识收获。

I actually observed it and felt it.

我确实观察到了,也感受到了。

06:41 We had to convince my dad for a long time to get a VCR.

我们花了很长时间才说服我爸爸买一台录像机。

Do you know what a VCR is?

你知道什么是录像机吗?

Lex Fridman06:48

Yes.

是的。

Sundar Pichai06:49

I’m trying to date you now.

我现在正想和你约会。

06:49 Because before that, you only had one TV channel.

因为在此之前,您只有一个电视频道。

That’s it.

就是这样。

So, you can watch movies or something like that, but this was by the time I was in 12th grade, we got a VCR.

所以,你可以看电影或类似的东西,但那是在我 12 年级的时候,我们有了录像机。

It was a Panasonic, which we had to go to some shop which had smuggled it in, I guess, and that’s where we bought a VCR.

那是一台松下机器,我猜我们必须去一家走私它的商店,然后我们就在那里买了一台录像机。

But then being able to record a World Cup football game or get bootleg videotapes and watch movies, all that.

但随后能够录制世界杯足球比赛或获取盗版录像带并观看电影,等等。

07:26 So I had these discrete memories growing up, and so always left me with the feeling of how getting access to technology drives that step change in your life.

因此,我在成长过程中拥有这些离散的记忆,因此总是让我感觉到获得技术如何推动你的生活发生巨大的变化。

Lex Fridman07:38

I don’t think you’ll ever be able to equal the first time you get hot water.

我认为你永远无法与第一次喝到热水时的感觉相媲美。

Sundar Pichai07:42

To have that convenience of going and opening a tap and have hot water come out?

想要方便地打开水龙头就有热水出来吗?

07:42 Yeah.

是的。

Lex Fridman07:47

It’s interesting.

这很有趣。

07:47 We take for granted the progress we’ve made.

我们认为我们所取得的进步是理所当然的。

If you look at human history, just those plots that look at GDP across 2,000 years, and you see that exponential growth to where most of the progress happened since the Industrial Revolution, and we just take for granted, we forget how far we’ve gone.

如果你看看人类历史,看看 2000 年来 GDP 的图表,你就会看到自工业革命以来大部分进步发生的指数增长,我们只是认为这是理所当然的,我们忘记了我们已经走了多远。

So, our ability to understand how great we have it and also how quickly technology can improve is quite poor.

因此,我们对我们拥有的技术有多强大以及技术进步的速度的理解能力非常差。

Sundar Pichai08:17

Oh.

哦。

08:17 I mean, it’s extraordinary.

我的意思是,这很了不起。

I go back to India now, the power of mobile.

我现在回到印度,移动的力量。

It’s mind blowing to see the progress through the arc of time.

看到时间的流逝所取得的进展真是令人兴奋。

It’s phenomenal.

这是惊人的。

Lex Fridman08:27

What advice would you give to young folks listening to this all over the world, who look up to you and find your story inspiring, who want to be maybe the next Sundar Pichai, who want to start, create companies, build something that has a lot of impact in the world?

对于全世界聆听这个故事的年轻人,他们尊敬你并发现你的故事鼓舞人心,他们想成为下一个桑达尔·皮查伊,他们想创办、创建公司,建立对世界有很大影响力的东西,你会给他们什么建议?

Sundar Pichai08:45

You have a lot of luck along the way, but you obviously have to make smart choices, you’re thinking about what you want to do, your brain is telling you something.

一路走来你很幸运,但你显然必须做出明智的选择,你正在思考你想做什么,你的大脑正在告诉你一些事情。

08:45 But when you do things, I think it’s important to get that…

但当你做事时,我认为重要的是要做到这一点……

Listen to your heart and see whether you actually enjoy doing it.

倾听你的内心,看看你是否真的喜欢这样做。

That feeling of if you love what you do, it’s so much easier, and you’re going to see the best version of yourself.

如果你热爱自己所做的事情,就会感觉容易多了,你就会看到最好的自己。

It’s easier said than done.

说起来容易做起来难。

I think it’s tough to find things you love doing.

我认为找到自己喜欢做的​​事情很难。

But I think listening to your heart a bit more than your mind in terms of figuring out what you want to do, I think is one of the best things I would tell people.

但我认为,在弄清楚自己想做什么时,多倾听自己的内心,而不是自己的想法,这是我会告诉人们的最好的事情之一。

09:26 The second thing is trying to work with people who you feel…

第二件事是尝试与你认为的人一起工作……

At various points in my life I’ve worked with people who I felt were better than me.

在我生命中的不同阶段,我都与那些我认为比我优秀的人一起工作过。

You almost are sitting in a room talking to someone and they’re wow.

你几乎是坐在一个房间里和某人交谈,他们都很惊讶。

you want that feeling a few times.

你想要那种感觉几次。

Trying to get yourself in a position where you’re working with people who you feel are stretching your abilities is what helps you grow, I think, so putting yourself in uncomfortable situations.

我认为,努力让自己处于一个与那些你认为可以拓展你能力的人一起工作的位置,这可以帮助你成长,所以让自己处于不舒服的境地。

And I think often you’ll surprise yourself.

我想你常常会给自己带来惊喜。

10:01 So, I think being open minded enough to put yourself in those positions is maybe another thing I would say.

所以,我认为,我要说的另一件事可能是保持足够开放的心态,让自己处于这些位置。

Lex Fridman10:09

What lessons can we learn?

我们可以吸取什么教训?

10:09 Maybe from an outsider perspective, for me, looking at your story and gotten to know you a bit, you’re humble, you’re kind.

也许从一个局外人的角度来看,对我来说,看了你的故事,对你有了一些了解,你很谦虚,你很善良。

Usually when I think of somebody who has had a journey like yours and climbs to the very top of leadership in a cutthroat world, they’re usually going to be a bit of an asshole.

通常,当我想到那些经历过像你这样的旅程并在残酷的世界中爬到最高领导层的人时,他们通常会有点混蛋。

What wisdom are we supposed to draw from the fact that your general approach is of balance, of humility, of kindness, listening to everybody.

你的总体做法是平衡、谦逊、仁慈、倾听每个人的意见,我们应该从这一事实中汲取什么智慧呢?

What’s your secret?

你的秘密是什么?

Sundar Pichai10:41

I do get angry.

我确实生气了。

10:41 I do get frustrated.

我确实感到沮丧。

I have the same emotions all of us do in the context of work and everything.

我和我们所有人在工作和所有事情上都有同样的情绪。

But a few things: I think I…

但有几点:我想我……

Over time I figured out the best way to get the most out of people.

随着时间的推移,我找到了充分发挥员工潜力的最佳方法。

You find mission-oriented people who are in the shared journey, who have this inner drive to excellence to do the best.

你会发现那些以使命为导向的人,他们在共同的旅程中,拥有追求卓越、做到最好的内在动力。

You motivate people and you can achieve a lot that way.

你激励人们,这样你就能取得很多成就。

It often tends to work out that way.

它往往会以这种方式解决。

11:19 But have there been times I lose it?

但有时我会失去它吗?

Yeah.

是的。

Maybe less often than others, and maybe over the years less and less so, because I find it’s not needed to achieve what you need to do.

也许比其他人更少,也许这些年来越来越少,因为我发现实现你需要做的事情并不需要它。

Lex Fridman11:35

So, losing your shit has not been productive?

那么,失去你的狗屎并没有富有成效吗?

Sundar Pichai11:38

Less often than not.

经常比没有。

11:38 I think people respond to that.

我认为人们对此有所回应。

Lex Fridman11:40

Yeah.

是的。

Sundar Pichai11:41

They may do stuff to react to that.

他们可能会做一些事情来对此做出反应。

11:41 You actually want them to do the right thing.

你实际上希望他们做正确的事。

I’m a sports fan.

我是一名体育迷。

In soccer, not football, people often talk about man management.

在足球领域,而不是足球领域,人们经常谈论人员管理。

Great coaches do.

伟大的教练都会这样做。

I think there is an element of that in our lives.

我认为我们的生活中存在这样的元素。

How do you get the best out of the people you work with?

如何让与你一起工作的人发挥出最大的潜力?

12:08 At times, you’re working with people who are so committed to achieving, if they’ve done something wrong, they feel it more than you do, so you treat them differently than…

有时,你和那些非常致力于实现目标的人一起工作,如果他们做错了什么,他们比你更能感受到,所以你对待他们的方式与……不同。

Occasionally, there are people who you need to clearly let them know that wasn’t okay or whatever it is.

有时,您需要明确地让某些人知道他们的做法不对或其他什么问题。

But I’ve often found that not to be the case.

但我经常发现事实并非如此。

Lex Fridman12:28

And sometimes the right words at the right time spoken firmly can reverberate through time.

有时,在正确的时间坚定地说出正确的话语可以在时间中产生回响。

Sundar Pichai12:35

Also sometimes, the unspoken words.

有时候,还有那些不言而喻的话语。

12:35 People can sometimes see that you’re unhappy without you saying it, and so sometimes the silence can deliver that message even more.

有时人们无需说出来就能看出你不高兴,所以有时沉默更能传达这种信息。

Lex Fridman12:48

Sometimes less is more.

有时少即是多。

12:50 Who’s the greatest soccer player of all time?

谁是有史以来最伟大的足球运动员?

Messi, Ronaldo or Pelé or Maradona?

梅西、罗纳尔多、贝利还是马拉多纳?

Sundar Pichai12:55

I’m going to make…

我要做……

12:55 In this question…

在这个问题中……

Lex Fridman12:58

Is this going to be a political answer, Sundar?

桑达尔,这会是一个政治答案吗?

Sundar Pichai12:58

I’m not going to lie.

我不会撒谎。

12:58 I will tell the truthful answer, the truthful answer.

我会说出真实的答案,真实的答案。

Lex Fridman13:03

So it’s Messi, okay.

所以是梅西,好吧。

Sundar Pichai13:05

It is.

这是。

13:05 It’s been interesting.

这很有趣。

Because my son is a big Cristiano Ronaldo fan, and so we’ve had to watch El Clasicos together with that dynamic in there.

因为我的儿子是克里斯蒂亚诺·罗纳尔多的忠实粉丝,所以我们必须一起观看国家德比以及那里的动态。

I so admire CR7s.

我非常欣赏CR7。

I mean, I’ve never seen an athlete more committed to that kind of excellence, and so he’s one of the all-time greats.

我的意思是,我从未见过一位运动员如此致力于这种卓越,因此他是有史以来最伟大的运动员之一。

But for me, Messi is it.

但对我来说,梅西就是这样。

Lex Fridman13:31

When I see Lionel Messi, you just are in awe that humans are able to achieve that level of greatness and genius and artistry.

当我看到莱昂内尔·梅西时,你会对人类能够达到那种伟大、天才和艺术水平感到敬畏。

13:31 We’ll talk about AI, maybe robotics and this kind of stuff, that level of genius, I’m not sure you can possibly match by AI in a long time.

我们会谈论人工智能,也许是机器人技术和这类东西,那种天才水平,我不确定在很长一段时间内你是否可以用人工智能来匹配。

It’s just an example of greatness.

这只是伟大的一个例子。

And you have that kind of greatness in other disciplines, but in sport, you get to visually see it, unlike anything else.

在其他学科中你也有这种伟大之处,但在体育运动中,你可以直观地看到它,这与其他任何事情都不同。

Just the timing, the movement, there’s just genius.

只是时机、动作,这就是天才。

Sundar Pichai14:03

Had the chance to see him a couple of weeks ago.

几周前有机会见到他。

14:03 He played in San Jose against the Quakes, so I went to see the game.

他在圣何塞对阵地震队,所以我去看了比赛。

I had good seats, knew where he would play in the second half hopefully.

我的座位很好,知道他下半场会在哪里踢球。

And even at his age, just watching him when he gets the ball, that movement…

即使在他这个年纪,只要看着他拿球时的动作……

You’re right, that special quality.

你说得对,就是那种特殊的品质。

It’s tough to describe, but you feel it when you see it, yeah.

很难描述,但是当你看到它时你就会感觉到,是的。

Lex Fridman14:27

He’s still got it.

他还是明白了。

14:27 If we rank all the technological innovations throughout human history…

如果我们对人类历史上所有的技术创新进行排名……

Let’s go back maybe the history of human civilizations, 12,000 years ago, and you rank them by how much of a productivity multiplier they’ve been.

让我们回顾一下 12,000 年前的人类文明历史,然后根据生产力倍增程度对它们进行排名。

We can go to electricity or the labor mechanization of the Industrial Revolution, or we can go back to the first Agricultural Revolution 12,000 years ago.

我们可以回到工业革命的电力或劳动机械化,也可以回到12000年前的第一次农业革命。

In that long list of inventions, do you think AI…

在那一长串的发明中,你认为人工智能……

When history is written 1,000 years from now, do you think it has a chance to be the number one productivity multiplier?

当 1000 年后历史被书写时,您认为它有机会成为第一生产力倍增器吗?

Sundar Pichai15:08

It’s a great question.

这是一个很好的问题。

15:08 Many years ago, I think it might’ve been 2017 or 2018, I said at the time, AI is the most profound technology humanity will ever work on.

很多年前,我想可能是 2017 年或 2018 年,当时我说,人工智能是人类有史以来研究的最深刻的技术。

It’ll be more profound than fire or electricity.

它将比火或电更深刻。

So, I have to back myself.

所以,我必须支持自己。

I still think that’s the case.

我仍然认为是这样。

15:27 When you ask this question, I was thinking, do we have a recency bias?

当你问这个问题时,我在想,我们是否存在新近度偏差?

In sports, it’s very tempting to call the current person you’re seeing the greatest…

在体育运动中,人们很容易认为你现在看到的人是最伟大的……

Lex Fridman15:35

Yes.

是的。

Sundar Pichai15:36

…

……

15:36 player.

玩家。

Is there a recency bias?

是否存在新近度偏差?

I do think, from first principles I would argue, AI will be bigger than all of those.

我确实认为,从我认为的首要原则来看,人工智能将比所有这些都更重要。

I didn’t live through those moments.

我没有经历过那些时刻。

Two years ago, I had to go through a surgery, and then I processed that.

两年前,我不得不接受手术,然后我就进行了治疗。

There was a point in time people didn’t have anesthesia when they went through these procedures.

人们在进行这些手术时曾经有一段时间没有麻醉。

At that moment, I was like, that has got to be the greatest invention humanity has ever, ever done.

那一刻,我想,这一定是人类有史以来最伟大的发明。

We don’t know what it is to have lived through those times.

我们不知道经历过那些时代是什么感觉。

16:12 Many of what you’re talking about were this general things, which pretty much affected everything: electricity or internet, et cetera.

你所说的很多都是一般性的事情,它们几乎影响了一切:电力或互联网等等。

But I don’t think we’ve ever dealt with the technology both which is progressing so fast, becoming so capable it’s not clear what the ceiling is, and the main, unique….

但我不认为我们曾经处理过这样的技术,它发展得如此之快,变得如此强大,以至于不清楚上限是什么,而且主要的、独特的……。

It’s recursively self-improving, it’s capable of that.

它是递归的自我改进,它有能力做到这一点。

16:41 The fact it is the first technology will dramatically accelerate creation itself, like creating things, building new things, can improve and achieve things on its own, I think puts it in a different.

事实上,它是第一个技术,将极大地加速创造本身,就像创造事物、构建新事物、可以自行改进和实现事物一样,我认为它处于不同的境地。

So, I think the impact it’ll end up having will far surpass everything we’ve seen before.

所以,我认为它最终产生的影响将远远超过我们以前见过的一切。

Obviously, with that comes a lot of important things to think and wrestle with, but I definitely think that’ll end up being the case.

显然,随之而来的是很多重要的事情需要思考和解决,但我绝对认为最终会是这样。

Lex Fridman17:15

Especially if it gets to the point of where we can achieve superhuman performance on the AI research itself.

特别是如果我们能够在人工智能研究本身上实现超人的表现。

17:15 So, it’s a technology that may…

所以,这是一项可能……的技术

It’s an open question, but it may be able to achieve a level to where the technology itself can create itself better than it could yesterday.

这是一个悬而未决的问题,但它可能能够达到一个水平,使技术本身能够比昨天更好地创造自己。

Sundar Pichai17:33

It’s like the move 37 of Alpha research or whatever it is.

这就像阿尔法研究的第 37 步或其他什么。

Lex Fridman17:38

Yeah.

是的。

Sundar Pichai17:39

You’re right, when it can do novel, self-directed research.

你是对的,它可以进行新颖的、自我导向的研究。

17:39 Obviously, for a long time we’ll have hopefully always humans in the loop and all that stuff.

显然,在很长一段时间内,我们希望始终有人类参与其中。

These are complex questions to talk about.

这些都是需要讨论的复杂问题。

But yes, I think the underlying technology…

但是,是的,我认为底层技术......

I’ve said this, if you watched seeing AlphaGo start from scratch, be clueless, and become better through the course of a day, really, it hits you when you see that happen.

我说过,如果你看到 AlphaGo 从头开始,一无所知,然后一天天变得更好,真的,当你看到这种情况发生时,你会感到震惊。

18:13 Even the Veo 3 models, if you sample the models when they were 30% done and 60% done, and looked at what they were generating, and you see how it all comes together, I would say it’s inspiring, a little bit unsettling, as a human.

即使是 Veo 3 模型,如果你在模型完成 30% 和 60% 时对模型进行采样,并查看它们生成的内容,你会看到它们是如何组合在一起的,我会说这对人类来说是鼓舞人心的,但有点令人不安。

So all of that is true, I think.

所以我认为所有这些都是真的。

Lex Fridman18:36

The interesting thing of the Industrial Revolution, electricity, like you mentioned.

正如您提到的,工业革命中有趣的事情是电力。

18:36 You can go back to, again, the first Agricultural Revolution, there’s what’s called the Neolithic package of the first Agricultural Revolution.

你可以再次回到第一次农业革命,这就是所谓的第一次农业革命的新石器时代包。

It wasn’t just that the nomads settled down and started planting food, but all this other kinds of technology was born from that, and it’s included this package.

不仅仅是游牧民族定居下来并开始种植食物,所有其他类型的技术也由此诞生,并且它包含在这个包中。

So, it wasn’t one piece of technology.

所以,它不是一项技术。

19:05 There’s these ripple effects, second- and third-order effects that happen, everything from something profound like pottery, it can store liquids and food, to something we take for granted: social hierarchies and political hierarchies.

会发生这些连锁反应,二阶和三阶效应,从像陶器这样意义深远的东西,它可以储存液体和食物,到我们认为理所当然的东西:社会等级制度和政治等级制度。

Early government was formed.

早期政府成立。

Because it turns out if humans stop moving and have some surplus food, they get bored and they start coming up with interesting systems.

因为事实证明,如果人类停止移动并有一些多余的食物,他们就会感到无聊,并开始想出有趣的系统。

And then trade emerges, which turns out to be a really profound thing, and like I said, government.

然后贸易出现了,事实证明这是一件非常深刻的事情,就像我说的,政府。

Second- and third-order effects from that, including that package, is incredible and probably extremely difficult.

包括该软件包在内的二阶和三阶效应是令人难以置信的,而且可能极其困难。

If you ask one of the people in the nomadic tribes to predict that, it would be impossible, and it’s difficult to predict.

如果你让游牧部落的一个人来预测这一点,那是不可能的,而且很难预测。

19:56 But all that said, what do you think are some of the early things we might see in the, quote, unquote, “AI package”?

但话虽如此,你认为我们可能会在“人工智能包”中看到哪些早期的东西?

Sundar Pichai20:07

Most of it probably we don’t know today, but the one thing which we can tangibly start seeing now is…

其中大部分内容我们今天可能还不知道,但我们现在可以切实开始看到的一件事是……

20:07 Obviously with the coding progress, you got a sense of it.

显然,随着编码的进展,您已经感觉到了。

It’s going to be so easy to imagine…

这很容易想象……

Thoughts in your head, translating that into things that exist.

你头脑中的想法,将其转化为存在的事物。

That’ll be part of the package.

这将是包裹的一部分。

It’s going to empower almost all of humanity to express themselves.

它将赋予几乎所有人表达自己的能力。

20:34 Maybe in the past you could have expressed with words, but you could build things into existence.

也许过去你可以用语言来表达,但你可以把事物变成存在。

Maybe not fully today, we are at the early stages of vibe coding.

也许今天还不完全,我们正处于氛围编码的早期阶段。

I’ve been amazed at what people have put out online with Veo 3.

我对人们在网上发布的有关 Veo 3 的内容感到惊讶。

But it takes a bit of work, you have to stitch together a set of prompts.

但这需要一些工作,你必须将一组提示拼接在一起。

But all this is going to get better.

但这一切都会变得更好。

The thing I always think: this is the worst it’ll ever be, at any given moment in time.

我一直在想:在任何特定时刻,这都是最糟糕的情况。

Lex Fridman21:02

It’s interesting you went there as a first thought: an exponential increase of access to creativity.

有趣的是,你去那里的第一个想法是:创造力的获取呈指数级增长。

Sundar Pichai21:11

Software, creation…

软件、创作……

21:11 Are you creating a program, a piece of content to be shared with others, games down the line?

您正在创建一个程序、一段与他人共享的内容、游戏吗?

All of that just becomes infinitely more possible.

所有这一切都变得无限可能。

Lex Fridman21:25

I think the big thing is that it makes it accessible.

我认为最重要的是它使它变得易于访问。

21:25 It unlocks the cognitive capabilities of the entire 8 billion.

它释放了整个 80 亿人的认知能力。

Sundar Pichai21:33

I agree.

我同意。

21:33 Think about 40 years ago, maybe in the US there were five people who could do what you were doing.

想想 40 年前,也许在美国有五个人可以做你正在做的事情。

Lex Fridman21:40

Mm-hmm.

嗯嗯。

Sundar Pichai21:41

Go do a interview…

去面试吧……

21:41 But today, think about, with YouTube and other products, et cetera, how many more people are doing it.

但今天,想一想,通过 YouTube 和其他产品等等,有多少人在这样做。

I think this is what technology does.

我认为这就是技术的作用。

When the internet created blogs, you heard from so many more people.

当互联网创建博客时,您会听到更多人的声音。

But with AI, I think that number won’t be in the few hundreds of thousands.

但对于人工智能,我认为这个数字不会是几十万。

It’ll be tens of millions of people, maybe even a billion people putting out things into the world in a deeper way.

这将是数以千万计的人,甚至可能是十亿人以更深入的方式向世界推出东西。

Lex Fridman22:17

And I think it’ll change the landscape of creativity.

我认为这将改变创造力的面貌。

22:17 And it makes a lot of people nervous.

这让很多人感到紧张。

For example, whatever, Fox, MSNBC, CNN are really nervous about this podcast.

例如,无论如何,福克斯、MSNBC、CNN 对这个播客真的很紧张。

You mean this dude in a suit could just do this?

你是说这个穿西装的家伙就能做到这一点?

And YouTube and thousands of others, tens of thousands, millions of other creators can do the same kind of thing?

YouTube 和其他成千上万、数万、数百万其他创作者可以做同样的事情吗?

That makes them nervous.

这让他们紧张。

And now you get a podcast from Notebook LM that’s about five to 10 times better than any podcast I’ve ever done.

现在,您从 Notebook LM 获得的播客比我以前做过的任何播客都要好 5 到 10 倍。

Sundar Pichai22:17

Not true, but yeah.

不是真的,但是是的。

Lex Fridman22:47

I’m joking at this time, but maybe not.

我现在是在开玩笑,但也许不是。

22:47 And that changes.

这一切都改变了。

You have to evolve.

你必须进化。

On the podcasting front, I’m a fan of podcasts much more than I am a fan of being a host or whatever.

在播客方面,我对播客的喜爱远胜于对主持人或其他什么的喜爱。

If there’s great podcasts that are both AIs, I’ll just stop doing this podcast.

如果有很棒的播客都是人工智能,我就会停止做这个播客。

I’ll listen to that podcast.

我会听那个播客。

But you have to evolve and you have to change, and that makes people really nervous, I think.

但我认为,你必须发展、必须改变,这让人们真的很紧张。

But it’s also really exciting future.

但这也是令人兴奋的未来。

Sundar Pichai23:11

The one thing I may say is, I do think in a world in which there are two AI, I think people value and choose…

我想说的一件事是,我确实认为在一个有两个人工智能的世界里,我认为人们重视并选择......

23:11 Just like in chess, you and I would never watch Stockfish 10 or whatever and AlphaGo play against each…

就像国际象棋一样,你和我永远不会看 Stockfish 10 之类的东西和 AlphaGo 对阵……

It would be boring for us to watch.

我们看的话会很无聊。

But Magnus Carlsen and Gukesh, that game would be much more fascinating to watch.

但是马格努斯·卡尔森和古克什,那场比赛会更有吸引力。

So, it’s tough to say.

所以,很难说。

23:36 One way to say is you’ll have a lot more content, and so you will be listening to AI-generated content because sometimes it’s efficient, et cetera.

一种说法是,你将拥有更多的内容,因此你将收听人工智能生成的内容,因为有时它很有效,等等。

But the premium experiences you value might be a version of the human essence wherever it comes through.

但您所看重的优质体验可能是人类本质的一个版本,无论它来自何处。

Going back to what we talked earlier about watching Messi dribble the ball, I don’t know, one day I’m sure a machine will dribble much better than Messi.

回到我们之前谈到的看梅西带球,我不知道,有一天我确信一台机器会比梅西带球好得多。

But I don’t know whether it would evoke that same emotion in us, so I think that’ll be fascinating to see.

但我不知道它是否会唤起我们同样的情感,所以我认为这会很有趣。

Lex Fridman24:05

I think the element of podcasting or audio books that is about information gathering, that part might be removed, or that might be more efficiently and in a compelling way done by AI.

我认为播客或有声读物中有关信息收集的元素可能会被删除,或者由人工智能以更有效、更引人注目的方式完成。

24:05 But then it’ll be just nice to hear humans struggle with the information, contend with the information, try to internalize it, combine it with the complexity of our own emotions and consciousness and all that kind of stuff.

但如果能听到人类与信息作斗争、与信息抗争、尝试将其内化、将其与我们自己的情感和意识的复杂性以及诸如此类的东西结合起来,那就太好了。

But if you actually want to find out about a piece of history, you go to Gemini.

但如果你真的想了解一段历史,你就去双子座。

If you want to see Lex struggle with that history, or other humans, you look at that.

如果你想看到莱克斯与那段历史或其他人类的斗争,你就看看那个。

24:47 The point is, it’s going to continue to change the nature of how we discover information, how we consume the information, how we create that information, the same way that YouTube changed everything completely.

关键是,它将继续改变我们如何发现信息、如何消费信息、如何创建信息的本质,就像 YouTube 彻底改变了一切一样。

It changed the news.

它改变了新闻。

And that’s something our society’s struggling with.

这就是我们社会正在努力解决的问题。

Sundar Pichai25:04

YouTube enabled…

YouTube 已启用...

25:04 You know this better than anyone else.

你比任何人都清楚这一点。

It’s enabled so many creators.

它让很多创作者受益。

There is no doubt in me that we will enable more filmmakers than have ever been.

我毫不怀疑,我们将为更多的电影制片人提供帮助。

You’re going to empower a lot more people.

您将赋予更多人力量。

So I think there is an expansionary aspect of this, which is underestimated, I think.

所以我认为这有一个扩张性的方面,我认为这一点被低估了。

I think it’ll unleash human creativity in a way that hasn’t been seen before.

我认为它将以前所未有的方式释放人类的创造力。

It’s tough to internalize.

很难内化。

The only way is if you brought someone from the ’50s or ’40s and just put them in front of YouTube, I think it would blow their mind away.

唯一的方法是,如果你把 50 年代或 40 年代的人带到 YouTube 上,我认为这会让他们大吃一惊。

Similarly, I think we would get blown away by what’s possible in a 10- to 20-year timeframe.

同样,我认为我们会对 10 到 20 年时间范围内的可能性感到震惊。

Lex Fridman25:45

Do you think there’s a future?

你觉得还有未来吗?

25:45 How many years out is it that, let’s say…

比方说,这已经是多少年以后了……

Let’s put a marker on it…

让我们在上面做个标记……

50% of good content is generated by Veo 4, 5, 6?

50% 的好内容是由 Veo 4、5、6 生成的?

Sundar Pichai25:59

I think it depends on what it is for.

我认为这取决于它的用途。

25:59 Maybe if you look at movies today with CGI, there are great filmmakers.

也许如果你看今天的 CGI 电影,就会发现有很多伟大的电影制片人。

You still look at who the directors are and who use it.

你还是看谁是导演,谁用的。

There are filmmakers who don’t use it at all.

有些电影制片人根本不使用它。

You value that.

你很看重这一点。

There are people who use it incredibly.

有些人使用它令人难以置信。

Think about somebody like a James Cameron, like what he would do with these tools in his hands.

想象一下像詹姆斯·卡梅隆这样的人,他会用手中的这些工具做什么。

26:24 But I think there’ll be a lot more content created.

但我认为将会创建更多内容。

Just like writers today use Google Docs and not think about the fact that they’re using a tool like that, people will be using the future versions of these things.

就像今天的作家使用谷歌文档而不考虑他们正在使用这样的工具的事实一样,人们也会使用这些东西的未来版本。

It won’t be a big deal at all to them.

这对他们来说根本不是什么大不了的事。

Lex Fridman26:40

I’ve gotten a chance to get to know Darren Aronofsky.

我有机会认识达伦·阿罗诺夫斯基。

26:40 He’s been really leaning in and trying to figure out…

他一直在努力尝试找出答案……

It’s fun to watch a genius who came up before any of this was even remotely possible.

看到一个天才在这一切成为可能之前就出现了,这很有趣。

He created Pi, one of my favorite movies.

他创作了《圆周率》,这是我最喜欢的电影之一。

And from there, he just continued to create a really interesting variety of movies.

从那时起,他继续创作各种非常有趣的电影。

And now he’s trying to see how can AI be used to create compelling films.

现在他正试图了解如何利用人工智能来制作引人入胜的电影。

You have people like that.

你们有这样的人。

27:07 You have people I’ve gotten just to know, edgier folks, they are AI firsts, like Dor Brothers.

有些人是我刚认识的,比较前卫,他们是人工智能第一人,比如 Dor Brothers。

Both Aronofsky and Dor Brothers create at the edge of the Overton window society.

阿罗诺夫斯基和多尔兄弟都在奥弗顿窗口社会的边缘创作。

They push, whether it’s sexuality or violence.

他们推动,无论是性还是暴力。

It’s edgy, like artists are, but it’s still classy.

它很前卫,就像艺术家一样,但它仍然很优雅。

It doesn’t cross that line.

它没有跨越那条线。

Whatever that line is.

不管那条线是什么。

Hunter S.

亨特·S。

Thompson has this line, “The only way to find out where the edge, where the line is, is by crossing it.” And I think for artists, that’s true.

汤普森有这样一句话:“找出边缘在哪里、界线在哪里的唯一方法就是跨越它。”我认为对于艺术家来说,确实如此。

That’s their purpose sometimes.

有时这就是他们的目的。

Comedians and artists just cross that line.

喜剧演员和艺术家只是跨越了这条线。

27:49 I wonder if you can comment on the weird place that it puts Google.

我不知道你是否可以评论一下它把Google放在奇怪的地方。

Because Google’s line is probably different than some of these artists.

因为谷歌的路线可能与其中一些艺术家不同。

How do you think about, specifically Veo and Flow, how to allow artists to do crazy shit, but also the responsibility for it not to be too crazy?

你如何看待,特别是 Veo 和 Flow,如何允许艺术家做疯狂的事情,但同时也有责任让它不要太疯狂?

Sundar Pichai28:15

It’s a great question.

这是一个很好的问题。

28:15 You mentioned Darren.

你提到了达伦。

He’s a clear visionary.

他是一位富有远见的人。

Part of the reason we started working with him early on Veo is, he’s one of those people who’s able to see that future, get inspired by it, and showing the way for how creative people can express themselves with it.

我们很早就开始在 Veo 上与他合作的部分原因是,他是那些能够看到未来、从中获得灵感、并为创意人士如何用未来表达自己的方式展示的人之一。

I think when it comes to allowing artistic free expression…

我认为当谈到允许艺术自由表达时......

It’s one of the most important values in a society, I think.

我认为这是社会最重要的价值观之一。

Artists have always been the ones to push boundaries, expand the frontiers of thought.

艺术家一直是突破界限、拓展思想疆域的人。

28:56 I think that’s going to be an important value we have, so I think we will provide tools and put it in the hands of artists for them to use and put out their work.

我认为这将是我们拥有的一个重要价值,所以我认为我们将提供工具并将其交给艺术家,供他们使用和展示他们的作品。

Those APIs, I almost think of that as infrastructure.

我几乎将那些 API 视为基础设施。

Just like when you provide electricity to people or something, you want them to use it, and you’re not thinking about the use cases on top of it.

就像当你向人们或其他东西提供电力时,你希望他们使用它,而你并没有考虑其之上的用例。

Lex Fridman29:20

It’s a paintbrush.

这是一支画笔。

Sundar Pichai29:20

Yeah.

是的。

29:20 So, I think that’s how.

所以,我想就是这样。

Obviously, there have to be some things.

显然,必须有一些事情。

And society needs to decide at a fundamental level what’s okay, what’s not, will be responsible with it.

社会需要从根本上决定什么是可以的,什么是不行的,并对此负责。

But I do think when it comes to artistic free expression, I think that’s one of those values we should work hard to defend.

但我确实认为,当谈到艺术自由表达时,我认为这是我们应该努力捍卫的价值观之一。

Lex Fridman29:44

I wonder if you can comment on maybe earlier versions of Gemini were a little bit careful on the kind of things it’d be willing to answer.

我想知道你是否可以评论一下,也许早期版本的 Gemini 对于它愿意回答的事情有点谨慎。

29:44 I just want to comment on I was really surprised, and pleasantly surprised, and enjoy the fact that Gemini 2.5 Pro is a lot less careful, in a good sense.

我只是想评论一下,我真的很惊讶,很惊喜,很享受 Gemini 2.5 Pro 不那么小心的事实,从好的意义上来说。

Don’t ask me why, but I’ve been doing a lot of research on Genghis Khan and the Aztecs, so there’s a lot of violence there in that history.

不要问我为什么,但我对成吉思汗和阿兹特克人做了很多研究,所以那段历史中有很多暴力。

It’s a very violent history.

这是一段非常暴力的历史。

I’ve also been doing a lot of research on World War I and World War II.

我还对第一次世界大战和第二次世界大战进行了大量研究。

30:19 Earlier versions of Gemini were very…

Gemini 的早期版本非常……

Basically this sense, are you sure you want to learn about this.

基本上就是这个意思,你确定要学这个吗?

And now, it’s actually very factual, objective, talks about very difficult parts of human history, and does so with nuance and depth.

现在,它实际上非常真实、客观,谈论了人类历史中非常困难的部分,而且具有细微差别和深度。

It’s been really nice.

这真的很好。

But there’s a line there that I guess Google has to walk.

但我认为谷歌必须走一条线。

And it’s also an engineering challenge how to do that at scale across all the weird queries that people ask.

如何针对人们提出的所有奇怪查询大规模地做到这一点也是一个工程挑战。

30:49 Can you just speak to that challenge?

您能谈谈这个挑战吗?

How do you allow Gemini to say…

你怎么允许双子座说……

Again, forgive, pardon my French…

再次,原谅,原谅我的法语......

crazy shit, but not too crazy?

疯狂的狗屎,但还不算太疯狂?

Sundar Pichai31:00

I think one of the good insights here has been as the models are getting more capable, the models are really good at this stuff.

我认为这里的一个很好的见解是,随着模型的能力越来越强,模型真的很擅长这些东西。

31:00 And so I think in some ways, maybe a year ago, the models weren’t fully there, so they would also do stupid things more often.

所以我认为在某些方面,也许一年前,模型还没有完全存在,所以他们也会更频繁地做愚蠢的事情。

So you’re trying to handle those edge cases, but then you make a mistake in how you handle those edge cases and it compounds.

因此,您正在尝试处理这些边缘情况,但随后您在处理这些边缘情况的方式上犯了错误,并且情况变得更加复杂。

But I think with 2.5, what we particularly found is once the models cross a certain level of intelligence and sophistication, they are able to reason through these nuanced issues pretty well.

但我认为在 2.5 中,我们特别发现的是,一旦模型的智能和复杂程度达到一定水平,它们就能够很好地推理这些微妙的问题。

31:37 And I think users really want that.

我认为用户真的想要这样。

You want as much access to the raw model as possible.

您希望尽可能多地访问原始模型。

I think it’s a great area to think about.

我认为这是一个值得思考的好领域。

Over time, we should allow more and more closer access to it.

随着时间的推移,我们应该允许越来越多的人更近距离地接触它。

Obviously, let people custom prompts if they wanted to and experiment with it, et cetera.

显然,如果人们愿意的话,可以让他们自定义提示并进行实验,等等。

I think that’s an important direction.

我认为这是一个重要的方向。

32:04 The first principles we want to think about it is, from a scientific standpoint, making sure the models…

我们要考虑的首要原则是,从科学的角度来看,确保模型……

And I’m saying scientific in the sense of how you would approach math or physics or something like that.

我说的科学是指你如何处理数学或物理或类似的东西。

From first principles, having the models reason about the world, be nuanced, et cetera, from the ground up is the right way to build these things, not some subset of humans hard-coding things on top of it.

从首要原则来看,让模型对世界进行推理、细致入微等等,从头开始是构建这些东西的正确方法,而不是人类的某些子集在其之上硬编码东西。

I think it’s the direction we’ve been taking and I think you’ll see us continue to push in that direction.

我认为这是我们一直采取的方向,我想你会看到我们继续朝这个方向努力。

Lex Fridman32:43

I took extensive notes and I gave them to Gemini and said, “Can you ask a novel question that’s not in these notes?”, and it wrote…

我做了很多笔记,然后把它们交给了双子座,并说:“你能问一个这些笔记中没有的新问题吗?”,它写道……

32:43 Gemini continues to really surprise me, really surprise me.

双子座继续给我带来惊喜,真的让我惊喜。

It’s been really beautiful.

真的很漂亮。

It’s an incredible model.

这是一个令人难以置信的模型。

The question it generated was, “You…”, meaning Sundar, “…

它产生的问题是“你……”,意思是桑达尔,“……

told the world Gemini is churning out 480 trillion tokens a month.

Gemini 告诉全世界,Gemini 每月生产 480 万亿枚代币。

What’s the most life-changing, five-word sentence hiding in that haystack?”.

那个大海捞针里藏着的最改变生活的五个字句子是什么?”。

That’s a Gemini question.

这是双子座的问题。

33:17 I don’t think you can answer that, but it woke me up to all of these tokens are providing little aha moments for people across the globe.

我认为你无法回答这个问题,但这让我醒悟到所有这些代币都为全球各地的人们提供了小小的顿悟时刻。

So, that’s like learning.

所以,这就像学习。

Those tokens are people are curious, they ask a question and they find something out, and it truly could be life-changing.

这些标志是人们好奇的,他们提出问题并发现一些东西,这确实可以改变生活。

Sundar Pichai33:37

Oh, it is.

哦,是的。

33:37 I had the same feeling about Search many, many years ago.

很多很多年前,我对搜索也有同样的感觉。

These tokens per month has grown 50 times in the last 12 months.

在过去 12 个月里,这些代币每月增长了 50 倍。

Lex Fridman33:49

Is that accurate, by the way?

顺便问一下,这准确吗?

33:49 The 4…

4…

Sundar Pichai33:49

Yeah, it is.

是的,确实如此。

It is.

这是。

It is accurate.

这是准确的。

I’m glad it got it right.

我很高兴它做对了。

But that number was 9.7 trillion tokens per month, 12 months ago.

但 12 个月前,这个数字是每月 9.7 万亿个代币。

It’s gone up to 480.

已经涨到480了。

It’s a 50x…

这是 50 倍……

34:00 …

……

right, it’s gone up to 480, it’s a 50 X increase.

对了,涨到了 480,增长了 50 倍。

So there’s no limit to human curiosity.

所以人类的好奇心是没有限制的。

And I think it’s one of those moments, I don’t think it is there today, but maybe one day there’s a five word phrase which says what the actual universe is or something like that and something very meaningful, but I don’t think we are quite there yet.

我认为这是那些时刻之一,我不认为今天还存在,但也许有一天会有一个五个词的短语来说明实际的宇宙是什么或类似的东西,以及一些非常有意义的东西,但我认为我们还没有完全做到这一点。

Lex Fridman34:25

Do you think the scaling laws are holding strong on, there’s a lot of ways to describe the scaling laws for AI, but on the pre-training, on post-training fronts, so the flip side of that, do you anticipate AI progress will hit a wall?

你认为缩放定律是否仍然有效,有很多方法可以描述人工智能的缩放定律,但在训练前和训练后方面,所以另一方面,你预计人工智能的进步会碰壁吗?

34:25 Is there a wall?

有墙吗?

Sundar Pichai34:42

It’s a cherished micro kitchen conversation, once in a while I have it, like when Demis is visiting or if Demis, Koray, Jeff, Norm, Sergey, a bunch of our people, we sit and talk about this.

这是一次珍贵的微型厨房对话,我偶尔会进行一次,比如当 Demis 来访时,或者如果 Demis、Koray、Jeff、Norm、Sergey 以及我们的一群人,我们会坐下来讨论这个问题。

34:42 Look, we see a lot of headroom ahead, I think.

我认为,我们看到未来还有很大的发展空间。

We’ve been able to optimize and improve on all fronts, pre-training, post-training, test time compute, tool use, over time, making these more agentic.

随着时间的推移,我们已经能够在训练前、训练后、测试时间计算、工具使用等各个方面进行优化和改进,使这些变得更加智能。

So getting these models to be more general world models in that direction.

因此,让这些模型朝着这个方向成为更通用的世界模型。

35:22 Like Veo 3, the physics understanding is dramatically better than what Veo 1 or something like that was.

与 Veo 3 一样,对物理的理解比 Veo 1 或类似的东西要好得多。

So you kind of see on all those dimensions, I feel progress is very obvious to see and I feel like there is significant headroom.

所以你在所有这些方面都看到了,我觉得进步是非常明显的,而且我觉得还有很大的空间。

More importantly, I’m fortunate to work with some of the best researchers on the planet, they think there is more headroom to be had here.

更重要的是,我很幸运能与地球上一些最优秀的研究人员一起工作,他们认为这里有更多的发展空间。

And so I think we have an exciting trajectory ahead.

所以我认为我们前面有一个令人兴奋的轨迹。

It’s tougher to say…

更难说...

Each year I sit and say, okay, we are going to throw 10 X more compute over the course of next year at it and will we see progress?

每年我都会坐下来说,好吧,我们将在明年投入 10 倍以上的计算量,我们会看到进展吗?

Sitting here today, I feel like the year ahead will have a lot of progress.

今天坐在这里,我感觉未来的一年将会有很大的进步。

Lex Fridman36:11

And do you feel any limitations like the bottlenecks, compute limited, data limited, idea limited, do you feel any of those limitations or is it full steam ahead on all fronts?

您是否感觉到任何限制,例如瓶颈、计算限制、数据限制、想法限制?您是否感觉到这些限制中的任何一个,或者它是否在所有方面都全力推进?

Sundar Pichai36:24

I think it’s compute limited in this sense, part of the reason you’ve seen us do Flash, Nano Flash and Pro models, but not an Ultra model, it’s like for each generation we feel like we’ve been able to get the Pro model at, I don’t know, 80, 90% of Ultra’s capability, but Ultra would be a lot more slow and lot more expensive to serve.

我认为从这个意义上讲,它的计算能力有限,这也是你看到我们生产 Flash、Nano Flash 和 Pro 型号而不是 Ultra 型号的部分原因,就像每一代我们都感觉我们已经能够获得 Pro 型号,我不知道,Ultra 功能的 80% 或 90%,但 Ultra 的速度会慢得多,服务成本也会高得多。

36:24 But what we’ve been able to do is to go to the next generation and make the next generation’s Pro as good as the previous generation’s Ultra, but be able to serve it in a way that it’s fast and you can use it and so on.

但我们能够做的是走向下一代,让下一代 Pro 与上一代 Ultra 一样好,但能够以快速且可以使用的方式提供服务,等等。

So I do think scaling laws are working, but it’s tough to get, at any given time, the models we all use the most, this maybe a few months behind the maximum capability we can deliver because that won’t be the fastest, easiest to use, et cetera.

因此,我确实认为缩放法则正在发挥作用,但在任何给定时间,很难获得我们都使用最多的模型,这可能比我们可以提供的最大功能晚几个月,因为这不会是最快、最容易使用的模型,等等。

Lex Fridman37:26

Also, that’s in terms of intelligence, it becomes harder and harder to measure ” performance” because you could argue Gemini Flash is much more impactful than Pro just because of the latency, it’s super intelligent already.

另外,就智能而言,衡量“性能”变得越来越困难,因为你可能会说 Gemini Flash 比 Pro 的影响力大得多,只是因为延迟,它已经是超级智能了。

37:26 I mean sometimes latency is maybe more important than intelligence, especially when the intelligence is just a little bit less and Flash not, it’s still incredibly smart model.

我的意思是,有时延迟可能比智能更重要,特别是当智能稍微少一点而 Flash 不是时,它仍然是令人难以置信的智能模型。

And so you have to now start measuring impact and then it feels like benchmarks are less and less capable of capturing the intelligence of models, the effectiveness of models, the usefulness, the real world usefulness, of models.

所以你现在必须开始衡量影响,然后感觉基准越来越无法捕捉模型的智能、模型的有效性、模型的实用性、现实世界的实用性。

38:07 Another kitchen question.

另一个厨房问题。

So lots of folks are talking about timelines for AGI or ASI, artificial super intelligence.

所以很多人都在谈论 AGI 或 ASI(人工智能)的时间表。

So AGI loosely defined is basically human expert level at a lot of the main fields of pursuit for humans.

因此,松散定义的 AGI 基本上是人类在许多主要追求领域的专家水平。

And then ASI is what AGI becomes, presumably quickly, by being able to self-improve.

然后,通过自我改进,ASI 可能会很快成为 AGI。

So becoming far superior in intelligence across all these disciplines than humans.

因此,在所有这些学科上,它们的智力都远远优于人类。

When do you think we’ll have AGI?

你认为我们什么时候会拥有 AGI?

It’s 2030 a possibility?

2030年有可能吗?

Sundar Pichai38:41

There’s one other term we should throw in there.

我们还应该添加另一个术语。

38:41 I don’t know who used it first, maybe Karpathy did, AJI.

我不知道是谁第一个使用它的,也许是 Karpathy,AJI。

Have you heard AJI, the artificial jagged intelligence?

你听说过AJI,即锯齿状人工智能吗?

Sometimes feels that way, both their progress and you see what they can do and then you can trivially find they make numerical errors or counting R’s in strawberry or something, which seems to trip up most models or whatever it is.

有时会有这样的感觉,他们的进步和你看到他们能做什么,然后你会发现他们犯了数字错误,或者计算草莓或其他东西的 R,这似乎会让大多数模型或其他什么东西出错。

So maybe we should throw that term in there.

所以也许我们应该把这个词放在那里。

I feel like we are in the AJI phase where dramatic progress, some things don’t work well, but overall you’re seeing lots of progress.

我觉得我们正处于 AJI 阶段,取得了巨大进展,有些事情效果不佳,但总的来说,你看到了很多进展。

39:19 But if your question is will it happen by 2030?

但如果你的问题是到 2030 年它会发生吗?

Look, we constantly move the line of what it means to be AGI.

看,我们不断改变 AGI 的含义。

There are moments today like sitting in a Waymo in a San Francisco street with all the crowds and the people and work its way through, I see glimpses of it there.

今天有些时刻,就像坐在旧金山街道上的 Waymo 里,周围都是人群和人群,我在那里看到了它的一瞥。

The car is sometimes impatient, trying to work its way using Astra like in Gemini Live or asking questions about the world.

汽车有时会不耐烦,试图像 Gemini Live 中那样使用 Astra 来工作,或者询问有关世界的问题。

Speaker 139:49

What’s a skinny building doing in my neighborhood?

我家附近的一栋瘦弱的建筑在做什么?

Speaker 239:51

It’s a street light, not a building.

这是路灯,不是建筑物。

Sundar Pichai39:54

You see glimpses, that’s why use the word AJI because then you see stuff which obviously we are far from AGI too, so you have both experiences simultaneously happening to you.

你会看到一瞥,这就是为什么使用 AJI 这个词,因为然后你会看到一些显然我们也远离 AGI 的东西,所以你会同时经历这两种经历。

39:54 I’ll answer your question, but I’ll also throw out this.

我会回答你的问题,但我也会抛出这个问题。

I almost feel the term doesn’t matter, what I know is by 2030 there’ll be such dramatic progress.

我几乎觉得这个词并不重要,我知道到 2030 年将会有如此巨大的进步。

We’ll be dealing with the consequences of that progress, both the positive externalities and the negative externalities that come with it in a big way by 2030.

到 2030 年,我们将在很大程度上应对这一进展的后果,包括正外部性和负外部性。

So that I strongly feel.

以至于我强烈的感觉到。

40:31 Whatever, we may be arguing about the term or maybe Gemini can answer what that moment is in time in 2030, but I think the progress will be dramatic.

不管怎样,我们可能会争论这个词,或者也许双子座可以回答 2030 年那个时刻是什么,但我认为进展将是巨大的。

So that I believe in.

以至于我相信。

Will the AI think it has reached AGI by 2030?

人工智能会认为到 2030 年它已经达到了通用人工智能吗?

I would say we will just fall short of that timeline, so I think it’ll take a bit longer.

我想说我们只是达不到这个时间表,所以我认为需要更长的时间。

It’s amazing, in the early days of Google DeepMind in 2010, they talked about a 20-year timeframe to achieve AGI, which is kind of fascinating to see, but for me, the whole thing, seeing what Google Brain did in 2012, and when we acquired DeepMind in 2014, right close to where we are sitting, in 2012, Jeff Dean showed the image of when the neural networks could recognize a picture of a cat and identify it.

令人惊奇的是,在 2010 年 Google DeepMind 成立之初,他们谈到了 20 年的时间框架来实现 AGI,这有点令人着迷,但对我来说,整个事情,看到 Google Brain 在 2012 年所做的事情,以及当我们在 2014 年收购 DeepMind 时,就在我们现在坐的地方,2012 年,Jeff Dean 展示了神经网络何时可以识别猫的图片并识别它的图像。

This is the early versions of Brain.

这是 Brain 的早期版本。

41:24 And so we all talked about couple decades.

所以我们都谈论了几十年。

I don’t think we’ll quite get there by 2030, so my sense is it’s slightly after that, but I would stress it doesn’t matter what that definition is because you will have mind-blowing progress on many dimensions.

我认为到 2030 年我们还无法完全实现这一目标,所以我的感觉是稍微晚一点,但我想强调的是,这个定义是什么并不重要,因为你将在许多方面取得令人惊叹的进展。

Maybe AI can create videos.

也许人工智能可以制作视频。

We have to figure out as a society, we need some system by which we all agree that this is AI-generated and we have to disclose it in a certain way because how do you distinguish reality otherwise?

我们必须弄清楚,作为一个社会,我们需要某种系统,让我们都同意这是人工智能生成的,我们必须以某种方式披露它,否则你如何区分现实呢?

Lex Fridman41:58

Yeah, there’s so many interesting things you said.

是的,你说的很多有趣的事情。

41:58 So first of all, just looking back at this recent, now feels like distant, history with Google Brain, I mean that was before TensorFlow, before TensorFlow was made public, and open-sourced.

首先,回顾一下最近的、现在感觉像是遥远的 Google Brain 历史,我的意思是那是在 TensorFlow 之前,在 TensorFlow 公开和开源之前。

So the tooling matters too.

所以工具也很重要。

Combined with GitHub, ability to share code.

与GitHub结合,能够共享代码。

Then you have the ideas of a potential transformers and the diffusion now and then there might be a new idea that seems simple in retrospect but will change everything, and that could be the post-training, the inference time innovations.

然后你就有了潜在的变压器和扩散的想法,然后可能会有一个新的想法,回想起来似乎很简单,但会改变一切,这可能是训练后、推理时间的创新。

42:28 And I think shadcn Tweeted that Google is just one great UI from completely winning the AI race, meaning UI is a huge part of it.

我认为 shadcn 在推文中表示,Google 只是彻底赢得人工智能竞赛的一个出色的 UI,这意味着 UI 是其中的重要组成部分。

How that intelligence, I think the [inaudible 00:42:45] Project likes to talk about this right now, it’s an LLM, but when is it going to become a system where you’re talking about shipping systems versus shipping a particular model?

我认为 [听不清 00:42:45] 项目现在喜欢谈论这个,它是一个法学硕士,但它什么时候会成为一个你谈论运输系统而不是运输特定模型的系统?

Yeah, that matters too, how the system manifests itself and how it presents itself to the world.

是的,这也很重要,系统如何表现自己以及如何向世界展示自己。

That really, really matters

这真的非常重要

Sundar Pichai43:02

Oh, hugely so.

哦,非常如此。

43:02 There are simple UI innovations which have changed the world and I absolutely think so.

有些简单的用户界面创新已经改变了世界,我绝对这么认为。

We will see a lot more progress in the next couple of years as I think AI itself on a self-improving track for UI itself.

在接下来的几年里,我们将看到更多的进展,因为我认为 AI 本身正走在 UI 本身自我改进的轨道上。

Today, we are constraining the models, the models can’t quite express themselves in terms of the UI to people.

今天,我们正在限制模型,模型无法通过用户界面向人们完全表达自己。

But if you think about it, we’ve kind of boxed them in that way, but given these models can code, they should be able to write the best interfaces to express their ideas over time.

但如果你想一想,我们已经以这种方式将它们装箱了,但考虑到这些模型可以编码,随着时间的推移,它们应该能够编写最好的接口来表达他们的想法。

Lex Fridman43:46

That is an incredible idea.

这是一个令人难以置信的想法。

43:46 So the API is already open, so you create a really nice agentic system that continuously improves the way you can be talking to an AI.

API 已经开放,所以你可以创建一个非常好的代理系统,不断改进你与人工智能对话的方式。

But a lot of that is the interface.

但其中很多是界面。

And then of course the incredible multimodal aspect of the interface that Google has been pushing.

当然,还有谷歌一直在推动的令人难以置信的多模式界面。

Sundar Pichai44:08

These models are natively multimodal.

这些模型本质上是多模式的。

44:08 They can easily take content from any format, put it in any format, they can write a good user interface, they probably understand your preferences better over time.

他们可以轻松地从任何格式获取内容,将其放入任何格式,他们可以编写良好的用户界面,随着时间的推移,他们可能会更好地了解您的偏好。

And so all this is the evolution ahead.

所以这一切都是未来的演变。

And so that goes back to where we started the conversation, I think there’ll be dramatic evolutions in the years ahead.

回到我们开始谈话的地方,我认为未来几年将会发生巨大的变化。

Lex Fridman44:34

Maybe one more kitchen question.

也许还有一个厨房问题。

44:34 This even further ridiculous concept of p(doom).

这个 p(doom) 的概念更加荒谬。

So the philosophically minded folks in the AI community, think about the probability that AGI and then ASI might destroy all of human civilization.

因此,人工智能界有哲学头脑的人们,请思考一下 AGI 和 ASI 可能会摧毁所有人类文明的可能性。

I would say my p(doom) is about 10%.

我想说我的 p(doom) 大约是 10%。

Do you ever think about this kind of long-term threat of ASI and what would your p(doom) be?

你有没有想过 ASI 的这种长期威胁以及你的 p(doom) 是什么?

Sundar Pichai45:03

Look, I mean for sure.

看,我的意思是肯定的。

45:03 Look, I’ve both been very excited about AI, but I’ve always felt this is a technology you have to actively think about the risks and work very, very hard to harness it in a way that it all works out well.

听着,我俩都对人工智能感到非常兴奋,但我一直觉得这是一项技术,你必须积极思考风险,并非常非常努力地利用它,使其一切顺利。

On the p(doom) question, look, it wouldn’t surprise you to say that’s probably another micro kitchen conversation that pops up once in a while.

关于 p(doom) 问题,你看,如果你说这可能是另一个偶尔出现的微型厨房对话,你不会感到惊讶。

And given how powerful the technology is maybe stepping back, when you’re running a large organization, if you can align the incentives of the organization, you can achieve pretty much anything.

考虑到技术可能有多么强大,当你经营一个大型组织时,如果你能够调整组织的激励措施,你几乎可以实现任何目标。

If you can get people all marching towards a goal, in a very focused way, in a mission-driven way, you can pretty much achieve anything.

如果你能让人们以一种非常专注的方式、以一种使命驱动的方式朝着一个目标前进,那么你几乎可以实现任何目标。

45:50 But it’s very tough to organize all of humanity that way.

但以这种方式组织全人类是非常困难的。

But I think if p(doom) is actually high, at some point, all of humanity is aligned in making sure that’s not the case.

但我认为,如果 p(doom) 实际上很高,那么在某个时刻,全人类都会一致确保情况并非如此。

And so we’ll actually make more progress against it, I think.

所以我认为我们实际上会在这方面取得更多进展。

So the irony is, so there is a self-modulating aspect there.

讽刺的是,那里有一个自我调节的方面。

I think if humanity collectively puts their mind to solving a problem, whatever, it is, I think we can get there.

我认为,如果人类共同致力于解决一个问题,无论是什么问题,我认为我们都能实现这一目标。

So because of that, I think I’m optimistic on the p(doom) scenarios, I think the underlying risk is actually pretty high, but I have a lot of faith in humanity kind of rising up to meet that moment.

因此,我认为我对末日场景持乐观态度,我认为潜在的风险实际上相当高,但我对人类挺身而出迎接那一刻充满信心。

Lex Fridman46:39

That’s really, really, well put.

这真的,真的,说得很好。

46:39 I mean, as the threat becomes more concrete and real, humans do really come together and get their shit together.

我的意思是,随着威胁变得更加具体和真实,人类确实聚集在一起并团结起来。

Well, the other thing I think people don’t often talk about is probability of doom without AI.

嗯,我认为人们不常谈论的另一件事是没有人工智能的厄运概率。

So there’s all these other ways that humans can destroy themselves and it’s very possible, at least I believe so, that AI will help us become smarter, kinder to each other, more efficient.

因此,人类可以通过其他方式毁灭自己,而且人工智能很有可能(至少我相信如此)将帮助我们变得更聪明、更友善、更高效。

It’ll help more parts of the world flourish where it wouldn’t be less resource constrained, which is often the source of military conflict and tensions and so on.

它将帮助世界更多地区在资源受限的情况下繁荣发展,而资源受限往往是军事冲突和紧张局势等的根源。

So we also have to load into that, what’s the [inaudible 00:47:22] without AI?

所以我们还必须考虑一下,如果没有人工智能,[听不清 00:47:22] 会怎样?

p(doom) with AI, p(doom) without AI, because it’s very possible that AI will be the thing that saves us, saves human civilizations from all the other threats.

人工智能的 p(doom),没有人工智能的 p(doom),因为人工智能很可能会拯救我们,拯救人类文明免受所有其他威胁。

Sundar Pichai47:32

I agree with you.

我同意你的看法。

47:32 I think it’s insightful.

我认为这是有洞察力的。

Look, I felt to make progress on some of the toughest problems would be good to have AI, like Pear, helping you, and so that resonates with me for sure.

看,我觉得在一些最棘手的问题上取得进展会很好,让像 Pear 这样的人工智能来帮助你,这肯定引起了我的共鸣。

Yeah.

是的。

Lex Fridman47:48

Quick pause, bathroom break?

快速暂停,上厕所?

47:48 [inaudible 00:47:51].

[听不清 00:47:51]。

Sundar Pichai47:51

Let’s do that.

让我们这样做吧。

Lex Fridman47:53

If NotebookLM was the same, like what I saw today with Beam, if it was compelling in the same kind of way, blew my mind.

如果 NotebookLM 是一样的,就像我今天在 Beam 上看到的那样,如果它以同样的方式引人注目,我会大吃一惊。

47:53 It was incredible.

这太不可思议了。

I didn’t think it’s possible.

我不认为这是可能的。

I didn’t think it’s [inaudible 00:48:06].

我不认为这是 [听不清 00:48:06]。

Sundar Pichai48:05

Can you imagine the US president and the Chinese president being able to do something like Beam with the live Meet translation working well, so they’re both sitting and talking, make progress a bit more.

你能想象美国总统和中国国家主席能够做像Beam这样的事情吗?现场Meet翻译效果很好,所以他们都坐着说话,取得更多进展。

Lex Fridman48:20

Just for people listening, we took a quick bathroom break and now we’re talking about the demo I did.

为了让大家听,我们在浴室里短暂休息了一下,现在我们正在谈论我所做的演示。

48:20 We’ll probably post it somewhere somehow maybe here.

我们可能会以某种方式将其发布在某个地方,也许在这里。

I got a chance to experience Beam and it’s hard to describe in words how real it felt with just, what is it, six cameras.

我有机会体验 Beam,很难用语言来描述只有六个摄像头的感觉有多么真实。

It’s incredible.

太不可思议了。

It’s incredible.

太不可思议了。

Sundar Pichai48:42

It’s one of the toughest products of, you can’t quite describe it to people.

这是最难的产品之一,你无法向人们完全描述它。

48:42 Even when we show it in slides, et cetera, you don’t know what it is.

即使我们在幻灯片等中展示它,你也不知道它是什么。

You have to kind of experience it.

你必须去体验一下。

Lex Fridman48:54

On the world leaders front, on politics, geopolitics, there’s something really special again with studying World War II and how much could have been saved if Chamberlain met Stalin in person.

在世界领导人方面,在政治、地缘政治方面,研究第二次世界大战以及如果张伯伦亲自会见斯大林可以节省多少资金,这又是一件非常特别的事情。

48:54 And I sometimes also struggle explaining to people, articulating, why I believe meeting in person for world leaders is powerful.

有时我也很难向人们解释、阐明为什么我相信与世界领导人面对面的会面是有力量的。

It just seems naive to say that, but there is something there in person and with Beam, I felt that same thing, and then I’m unable to explain, all I kept doing is what a child does.

这样说似乎很天真,但我本人和比姆身上都有一些东西,我也有同样的感觉,然后我无法解释,我一直在做的就是一个孩子所做的事情。

You look real.

你看起来很真实。

And I mean, I don’t know if that makes meetings more productive or so on, but it certainly makes them more, the same reason you want to show up to work versus remote sometimes, that human connection.

我的意思是,我不知道这是否会让会议更有成效等等,但它肯定会让会议变得更有效率,就像你有时想要去上班而不是远程办公的原因一样,人际关系。

I don’t know what that is, it’s hard to put into words.

我不知道那是什么,很难用语言表达。

There’s something beautiful about great teams collaborating on a thing that’s not captured by the productivity of that team or by whatever on paper.

伟大的团队在某件事情上进行协作是一种美妙的感觉,而这些东西并没有被团队的生产力或纸面上的任何东西所体现。

Some of the most beautiful moments you experience in life is at work.

您一生中经历的一些最美好的时刻就是在工作中。

Pursuing a difficult thing together for many months, there’s nothing like it.

几个月来一起追求一件困难的事情,没有什么比这更好的了。

Sundar Pichai50:13

You’re in the trenches.

你在战壕里。

50:13 And yeah, you do form bonds that way, for sure.

是的,你们确实会以这种方式建立联系,这是肯定的。

Lex Fridman50:17

And to be able to do that somewhat remotely in that same personal touch, I don’t know, that’s a deeply fulfilling thing.

我不知道,能够以同样的个人风格远程地做到这一点,这是一件非常令人满足的事情。

50:17 I know a lot of people, I personally hate meetings because a significant percent of meetings when done poorly don’t serve a clear purpose.

我认识很多人,我个人讨厌会议,因为很大一部分会议如果做得不好,就无法达到明确的目的。

But that’s a meeting problem, that’s not a communication problem.

但这是一个会议问题,而不是沟通问题。

If you could improve the communication for the meetings that are useful, that’s just incredible.

如果您能够改善有用的会议的沟通,那就太不可思议了。

So yeah, I was blown away by the great engineering behind it.

是的,我被它背后的伟大工程震惊了。

And then we get to see what impact that has, that’s really interesting, but just incredible engineering.

然后我们就会看到它会产生什么影响,这真的很有趣,但也是令人难以置信的工程。

Really impressive.

真是令人印象深刻。

Sundar Pichai50:51

No, it is.

不,是的。

50:51 And obviously we’ll work hard over the years to make it more and more accessible.

显然,多年来我们将努力使其变得越来越容易使用。

But yeah, even on a personal front outside of work meetings, a grandmother who’s far away from her grandchild and being able to have that kind of an interaction, all that I think will end up being very…

但是,是的,即使在工作会议之外的个人方面,一位远离孙子的祖母能够进行这种互动,我认为这一切最终都会非常......

Nothing substitutes being in person but it’s not always possible.

没有什么可以替代面对面的交流,但这并不总是可能的。

You could be a soldier deployed trying to talk to your loved one.

您可能是一名被部署试图与您所爱的人交谈的士兵。

So I think so that’s what inspires us.

所以我认为这就是激励我们的原因。

Lex Fridman51:24

When you and I hung out last year and took a walk, I don’t think we talked about this, but I remember outside of that seeing dozens of articles written by analysts and experts and so on, that Sundar Pichai should step down because the perception was that Google was definitively losing the AI race, has lost its magic touch, in the rapidly evolving technological landscape,.

当你和我去年出去散步时,我想我们没有讨论过这个问题,但我记得除此之外,我看到了分析师和专家等撰写的数十篇文章,认为桑达尔·皮查伊应该下台,因为人们认为谷歌肯定会输掉人工智能竞赛,在快速发展的技术领域已经失去了它的魔力。

51:24 And now a year later, it’s crazy.

一年后的现在,这太疯狂了。

You showed this plot of all the things that were shipped over the past year.

您展示了过去一年发货的所有物品的图。

It’s incredible.

太不可思议了。

And Gemini Pro is winning across many benchmarks and products as we sit here today.

当我们今天坐在这里时,Gemini Pro 在许多基准测试和产品中都取得了胜利。

So take me through that experience when there’s all these articles saying you’re the wrong guy to lead Google through this.

因此,当所有这些文章都说你是领导谷歌解决这个问题的错误人选时,请带我回顾一下这段经历。

Google is lost, is done, it’s over, to today where Google is winning again.

谷歌输了,完了,结束了,直到今天谷歌再次获胜。

What were some low points during that time?

那段时间有哪些低谷?

Sundar Pichai52:27

Look, lots to unpack.

瞧,有很多东西要拆开。

52:27 Obviously, the main bet I made as a CEO was to really make sure the company was approaching everything in a AI-first way, really setting ourselves up to develop AGI responsibly, and make sure we are putting out products which embodies that, things that are very, very useful for people.

显然,作为首席执行官,我的主要赌注是真正确保公司以人工智能优先的方式处理一切,真正让我们自己负责任地开发 AGI,并确保我们推出的产品体现了这一点,对人们非常非常有用。

So look, I knew even through moments like that last year, I had a good sense of what we were building internally.

所以看,我知道即使在去年那样的时刻,我也对我们内部正在建设的东西有很好的了解。

So I’d already made many important decisions bringing together teams of the caliber of Brain and DeepMind and setting up Google DeepMind.

因此,我已经做出了许多重要的决定,将 Brain 和 DeepMind 等级别的团队聚集在一起,并建立了 Google DeepMind。

There were things like we made the decision to invest in TPUs 10 years ago, so we knew we were scaling up and building big models.

比如我们 10 年前就决定投资 TPU,所以我们知道我们正在扩大规模并构建大型模型。

53:33 Anytime you’re in a situation like that, a few aspects.

每当你遇到这样的情况时,有几个方面。

I’m good at tuning out noise, separating signal from noise.

我擅长消除噪音,将信号与噪音分开。

Do you scuba dive?

你会潜水吗?

Have you…?

你…?

Lex Fridman53:47

No.

不。

Sundar Pichai53:47

It’s amazing.

太棒了。

53:47 I’m not good at it, but I’ve done it a few times.

我不擅长,但我已经做过几次了。

But sometimes you jump in the ocean, it’s so choppy, but you go down one feet under, it’s the calmest thing in the entire universe.

但有时你跳进海里,海面波涛汹涌,但你潜入一英尺以下,这是整个宇宙中最平静的事情。

So there’s a version of that.

所以有一个版本。

Running Google, you may as well be coaching Barcelona or Real Madrid.

如果你经营谷歌,那么你也可能会执教巴塞罗那或皇家马德里。

You have a bad season.

你经历了一个糟糕的赛季。

So there are aspects to that.

所以这有几个方面。

But look, I’m good at tuning out the noise.

但是你看,我很擅长消除噪音。

I do watch out for signals.

我确实留意信号。

It’s important to separate the signal from the noise.

将信号与噪声分开很重要。

So there are good people sometimes making good points outside, so you want to listen to it, you want to take that feedback in, but internally, you’re making a set of consequential decisions.

因此,有时会有好人在外面提出好的观点,所以你想倾听它,你想吸收这些反馈,但在内部,你正在做出一系列相应的决定。

54:39 As leaders, you’re making a lot of decisions, many of them are inconsequential it feels like, but over time you learn that most of the decisions you’re making on a day-to-day basis doesn’t matter.

作为领导者,你会做出很多决定,其中很多看起来都是无关紧要的,但随着时间的推移,你会发现你每天所做的大部分决定并不重要。

You have to make them and you’re making them just to keep things moving.

你必须制造它们,而你制造它们只是为了让事情继续前进。

But you have to make a few consequential decisions and we had set up the right teams, right leaders, we had world-class researchers, we were training Gemini.

但你必须做出一些重要的决定,我们已经建立了正确的团队、正确的领导者,我们拥有世界一流的研究人员,我们正在培训双子座。

55:15 Internally, there are factors which were, for example, outside people may not have appreciated.

在内部,有些因素是外部人士可能不欣赏的。

I mean TPUs are amazing, but we had to ramp up TPUs too.

我的意思是 TPU 很棒,但我们也必须提高 TPU 的性能。

That took time to scale actually having enough TPUs to get the compute needed.

实际上需要时间来扩展并拥有足够的 TPU 来获得所需的计算。

But I could see internally the trajectory we were on and I was so excited internally about the possible, to me this moment felt like one of the biggest opportunities ahead for us as a company that the opportunity space ahead or the next decade, next 20 years, is bigger than what has happened in the past.

但我可以在内部看到我们所处的轨迹,我内心对这种可能性感到非常兴奋,对我来说,这一刻感觉是我们作为一家公司面临的最大机遇之一,未来或下一个十年、下一个 20 年的机会空间比过去发生的情况更大。

And I thought we were set up better than most companies in the world to go realize that vision.

我认为我们比世界上大多数公司都更能实现这一愿景。

Lex Fridman56:04

I mean, you had to make some consequential, bold decisions like you mentioned the merger of DeepMind and Brain.

我的意思是,你必须做出一些重大、大胆的决定,就像你提到的 DeepMind 和 Brain 的合并一样。

56:04 Maybe it’s my perspective, just knowing humans, I’m sure there’s a lot of egos involved, it’s very difficult to merge teams, and I’m sure there were some hard decisions to be made.

也许这是我的观点,只是了解人类,我确信其中涉及很多自负,合并团队非常困难,而且我确信需要做出一些艰难的决定。

Can you take me through your process of how you think through that?

您能告诉我您是如何思考这个问题的过程吗?

Do you go to pull the trigger and make that decision?

你会扣动扳机并做出决定吗?

Maybe what were some painful points?

也许有哪些痛点?

How do you navigate those turbulent waters?

您如何在汹涌的水域中航行?

Sundar Pichai56:36

Look, we were fortunate to have two world-class teams, but you’re right, it’s like somebody coming and telling to you, take Stanford and MIT and then put them together and create a great department, easier said than done.

听着,我们很幸运拥有两个世界级的团队,但你是对的,这就像有人来告诉你,把斯坦福​​大学和麻省理工学院合并起来,创建一个伟大的部门,说起来容易做起来难。

56:36 But we were fortunate in phenomenal teams, both had their strengths, they were run very differently.

但我们很幸运,在现象级的团队中,两者都有自己的优势,但他们的运作方式却截然不同。

Brain was kind of a lot of diverse projects, bottoms up and out of it came a lot of important research breakthroughs.

大脑是由许多不同的项目组成,自下而上,并从中产生了许多重要的研究突破。

DeepMind at the time had a strong vision of how you want to build AGI, and so they were pursuing their direction.

DeepMind 当时对如何构建 AGI 有着强烈的愿景,因此他们正在追求自己的方向。

But I think through those moments, luckily tapping into, Jeff had expressed a desire to go back to more of a scientific individual contributor roots.

但我认为,通过那些时刻,幸运的是,杰夫表达了更多地回到科学个人贡献者根源的愿望。

He felt like management was taking up too much of his time.

他觉得管理层占用了他太多的时间。

And Demis naturally I think was running DeepMind and was a natural choice there.

我自然认为 Demis 正在运行 DeepMind,并且是那里的一个自然选择。

57:41 But I think, you are right, it took us a while to bring the teams together, credit to Demis, Jeff, Koray, all the great people there.

但我认为,你是对的,我们花了一段时间才将团队聚集在一起,这要归功于 Demis、Jeff、Koray 以及那里所有伟大的人。

They worked super hard to combine the best of both worlds when you set up that team.

当你组建这个团队时,他们非常努力地结合了两个世界的优点。

A few sleepless nights here and there, as we put that thing together.

当我们把那件事放在一起时,到处都是几个不眠之夜。

We were patient in how we did it so that it works well for the long term and some of that in that moment.

我们对如何做到这一点很有耐心,以便它能够长期有效,并且在某些时刻发挥作用。

I think, yes, with things moving fast, I think you definitely felt the pressure, but I think we pulled off that transition well, and I think they’re obviously doing incredible work and there’s a lot more incredible things ahead coming from them.

我想,是的,随着事情进展得很快,我想你肯定感受到了压力,但我认为我们很好地完成了这一转变,我认为他们显然正在做令人难以置信的工作,而且他们未来还会做出更多令人难以置信的事情。

Lex Fridman58:26

Like we talked about, you have a very calm, even-tempered, respectful demeanor, during that time, whether it’s the merger or just dealing with the noise, were there times where frustration boiled over?

就像我们说的,你的性格非常冷静、平和、恭敬,那段时间无论是合并还是处理噪音,有没有挫败感沸腾的时候?

58:26 Did you have to go a bit more intense on everybody than you usually would?

你是否必须对每个人都比平常更激烈一些?

Sundar Pichai58:48

Probably.

大概。

58:48 You’re right.

你说得对。

I think in the sense that there was a moment where we were all driving hard, but when you’re in the trenches working with passion, you’re going to have days, you disagree, you argue.

我认为,在某个时刻,我们都在努力奋斗,但当你在战壕里充满激情地工作时,你就会有几天,你不同意,你争辩。

But all that, I mean just part of the course of working intensely.

但所有这些,我的意思只是紧张工作过程的一部分。

And at the end of the day, all of us are doing what we are doing because the impact it can have, we are motivated by it.

归根结底,我们所有人都在做我们正在做的事情,因为它可以产生影响,我们受到它的激励。

59:21 For many of us, this has been a long-term journey, and so it’s been super exciting.

对于我们许多人来说,这是一段漫长的旅程,因此非常令人兴奋。

The positive moments far outweigh the kind of stressful moments.

积极的时刻远远超过那种有压力的时刻。

Just early this year, I had a chance to celebrate back-to-back over two days Nobel Prize for Geoff Hinton and the next day a Nobel Prize for Demis and John Jumper.

就在今年年初,我有机会连续两天庆祝杰夫·辛顿 (Geoff Hinton) 获得诺贝尔奖,第二天又庆祝戴米斯 (Demis) 和约翰·詹珀 (John Jumper) 获得诺贝尔奖。

You worked with people like that, all that is super inspiring.

你和这样的人一起工作,这一切都非常鼓舞人心。

Lex Fridman59:48

Is there something like with you where you had to put your foot down maybe with less versus more or, I’m the CEO and we’re doing this?

有没有像你这样的情况,你必须坚定不移,也许少与多,或者,我是首席执行官,我们正在这样做?

Sundar Pichai1:00:01

To my earlier point about consequential decisions you make, there are decisions you make, people can disagree pretty vehemently, but at some point you make a clear decision and you just ask people to commit.

对于我之前关于你做出的重大决定的观点,你做出了一些决定,人们可能会非常强烈地反对,但在某些时候你会做出明确的决定,并且你只是要求人们做出承诺。

1:00:01 You can disagree, but it’s time to disagree and commit so that we can get moving.

你可以不同意,但现在是不同意并做出承诺的时候了,这样我们才能继续前进。

And whether it’s putting the foot down, it’s a natural part of what all of us have to do.

无论是坚定不移,这都是我们所有人必须做的自然的一部分。

And I think you can do that calmly and be very firm in the direction you are making the decision, and I think if you’re clear actually people over time respect that, if you can make decisions with clarity.

我认为你可以冷静地做到这一点,并且在做出决定的方向上非常坚定,而且我认为,如果你能够清楚地做出决定,那么随着时间的推移,人们实际上会尊重这一点。

1:00:43 I find it very effective in meetings where you’re making such decisions to hear everyone out.

我发现在会议中,你需要做出这样的决定来听取每个人的意见,这非常有效。

I think it’s important, when you can, to hear everyone out.

我认为尽可能听取大家的意见很重要。

Sometimes what you’re hearing actually influences how you think about, and you’re wrestling with it and making a decision.

有时你所听到的实际上会影响你的想法,你会与之斗争并做出决定。

Sometimes you have a clear conviction and you state, so look, this is how I feel and this is my conviction, and you kind of place the bet and you move on.

有时你有一个明确的信念,你会说,所以看,这就是我的感受,这就是我的信念,你下了赌注,然后继续前进。

Lex Fridman1:01:13

Are there big decisions like that?

有这样的重大决定吗?

1:01:13 I kind of intuitively assume the merger was the big one?

我直觉地认为合并是一件大事?

Sundar Pichai1:01:19

I think that was a very important decision for the company to meet the moment.

我认为这对于公司来说是一个非常重要的决定。

1:01:19 I think we had to make sure we were doing that and doing that well.

我认为我们必须确保我们正在这样做并且做得很好。

I think that was a consequential decision.

我认为这是一个必然的决定。

There were many other things.

还有很多其他的事情。

We set up a AI infrastructure team to really go meet the moment to scale up the compute we needed to and really brought teams from disparate parts of the company, created it to move forward.

我们成立了一个人工智能基础设施团队,以真正满足扩大我们所需的计算规模的时刻,并真正从公司不同部门召集团队,创建它以向前发展。

1:01:51 Getting people to work together physically, both in London with DeepMind at what we call Gradient Canopy, which is where the Mountain View Google DeepMind teams are.

让人们在伦敦与 DeepMind 一起工作,我们称之为 Gradient Canopy,这也是山景城 Google DeepMind 团队的所在地。

But one of my favorite moments is I routinely walk multiple times per week to the Gradient Canopy building where our top researchers are working on the models, Sergey is often there amongst them, just looking at getting an update on the model, seeing the loss curves, so all that.

但我最喜欢的时刻之一是我每周都会多次步行到 Gradient Canopy 大楼,我们的顶级研究人员正在那里研究模型,Sergey 经常在他们中间,只是查看模型的更新,查看损失曲线,等等。

I think that cultural part of getting the teams together back with that energy, I think ended up playing a big role too.

我认为让团队重新团结起来的文化部分也发挥了重要作用。

Lex Fridman1:02:32

What about the decision to recently add AI mode?

最近添加人工智能模式的决定怎么样?

1:02:32 So Google Search is, as they say, the front page of the internet, it’s like a legendary minimalist thing with 10 blue links.

因此,正如他们所说,Google 搜索是互联网的首页,它就像一个传奇的极简主义事物,有 10 个蓝色链接。

When people think internet, they think that page and now you’re starting to mess with that.

当人们想到互联网时,他们会想到那个页面,而现在你开始搞乱它了。

So the AI mode, which is a separate tab, and then integrating AI in the results, I’m sure there were some battles in meetings on that one.

因此,人工智能模式是一个单独的选项卡,然后将人工智能集成到结果中,我确信会议上对此存在一些争论。

Sundar Pichai1:03:02

Look, in some ways when mobile came, people wanted answers to more questions, so we are kind of constantly evolving it, but you’re right, this moment, that evolution because the underlying technology is becoming much more capable.

看,在某种程度上,当移动出现时,人们想要更多问题的答案,所以我们在不断地发展它,但你是对的,此时此刻,这种发展是因为底层技术变得更加强大。

1:03:02 You can have AI give a lot of context, but one of our important design goals though, is when you come to Google Search, you are going to get a lot of context, but you’re going to go and find a lot of things out on the web.

你可以让人工智能提供很多背景信息,但我们重要的设计目标之一是,当你进入谷歌搜索时,你会获得很多背景信息,但你会去网络上找到很多东西。

So that will be true in AI mode, in AI overviews, and so on.

因此,在人工智能模式、人工智能概述等方面也是如此。

1:03:39 Pertaining to our earlier conversation, we’re still giving you access to links, but think of the AI as a layer, which is giving you context, summary, maybe in AI mode, you can have a dialogue with it back and forth on your journey, but through it all, you’re kind of learning what’s out there in the world.

关于我们之前的对话,我们仍然为您提供链接访问权限,但将人工智能视为一个层,它为您提供上下文、摘要,也许在人工智能模式下,您可以在旅途中与它来回对话,但通过这一切,您可以了解世界上有什么。

So those core principles don’t change.

所以这些核心原则不会改变。

But I think AI mode allows us to push the…

但我认为人工智能模式可以让我们推动……

We have our best models there, models that are using search as a deep tool, really for every query you’re asking, kind of fanning out doing multiple searches, kind of assembling that knowledge in a way so that you can go and consume what you want to, and that’s how we think about it.

我们有最好的模型,这些模型使用搜索作为深度工具,实际上针对您提出的每个查询,进行多次搜索,以某种方式组装知识,以便您可以去消费您想要的东西,这就是我们的想法。

Lex Fridman1:04:25

I got a chance to listen to a bunch of Elizabeth, Liz Reid, describe, there’s two things stood out to me that you mentioned.

我有机会听到一群伊丽莎白、莉兹·里德的描述,你提到的有两件事对我来说很突出。

1:04:25 One thing is what you were talking about is the query fan-out, which I didn’t even think about before, is the powerful aspect of integrating a bunch of stuff on the web for you in one place, so that, yes, it provides that context so that you can decide which page to then go onto.

有一件事是你所谈论的是查询扇出,这是我以前从未想过的,它是将网络上的一堆东西集成到一个地方的强大功能,因此,是的,它提供了上下文,以便你可以决定进入哪个页面。

The other really, really big thing speaks to the earlier in terms of productivity multiply that we’re talking about, that she mentioned, was language.

她提到的另一个非常非常重要的事情与我们正在谈论的生产力倍增方面的早期问题有关,那就是语言。

1:05:01 So one of the things you don’t quite understand is through AI mode for non-English speakers, you make, let’s say, English language websites accessible in the reasoning process as you’ve tried to figure out what you’re looking for.

因此,你不太理解的一件事是,通过针对非英语人士的人工智能模式,当你试图找出你要寻找的内容时,你可以在推理过程中访问英语网站。

Of course once you show up to a page, you can use a basic translate, but that process of figuring it out, if you empathize with a large part of the world that doesn’t speak English, their web is much smaller in that original language.

当然,一旦你出现在一个页面上,你可以使用基本的翻译,但是在解决这个问题的过程中,如果你同情世界上大部分不会说英语的人,他们的网络在原始语言中要小得多。

And so it, again, unlocks that huge cognitive capacity there.

因此,它再次释放了巨大的认知能力。

You take for granted here with all the bloggers and the journalists writing about AI mode, you forget that this now unlocks because Gemini is really good at translation.

你认为这里所有的博主和记者都在谈论人工智能模式是理所当然的,你忘记了现在它已经解锁了,因为双子座真的很擅长翻译。

Sundar Pichai1:05:54

Oh it is.

哦,是的。

1:05:54 I mean the multimodality, the translation, it’s ability to reason, we’re dramatically improving tool use, and putting that power in the flow of Search, look, I’m super excited with AI overviews.

我的意思是多模态、翻译、推理能力,我们正在极大地改进工具的使用,并将这种力量融入到搜索流程中,看,我对人工智能概述感到非常兴奋。

We’ve seen the product has gotten much better, we measured using all kinds of user metrics.

我们使用各种用户指标进行测量,发现产品已经变得更好了。

It’s obviously driven strong growth of the product, and we’ve been testing AI mode.

这显然推动了产品的强劲增长,我们一直在测试人工智能模式。

It’s now in the hands of millions of people and the early metrics are very encouraging.

它现在已经掌握在数百万人的手中,早期的指标非常令人鼓舞。

So look, I’m excited about this next chapter of Search.

所以看,我对搜索的下一章感到很兴奋。

Lex Fridman1:06:36

For people who are not thinking through or aware of this, so there’s the 10 blue links with the AI overview on top, that provides a nice summarization, you can expand it.

对于那些没有思考或意识到这一点的人来说,顶部有 10 个带有 AI 概述的蓝色链接,它提供了很好的总结,您可以扩展它。

Sundar Pichai1:06:45

And you have sources and links now embedded.

现在您已经嵌入了来源和链接。

Lex Fridman1:06:49

Yeah, I believe, at least Liz said so, I actually didn’t notice it, but there’s ads in the AI overview also.

是的,我相信,至少Liz是这么说的,我其实没注意到,但是AI概览里也有广告。

1:06:49 I don’t think there’s ads in AI mode.

我认为AI模式下没有广告。

When ads in AI mode, Sundar?

当广告处于 AI 模式时,Sundar?

When do you think…?

你什么时候想……?

Okay, we should say that in the nineties, I remember the animated GIFs, banner GIFs, that take you to some shady websites that have nothing to do with anything.

好吧,我们应该说,在九十年代,我记得动画 GIF、横幅 GIF,它们会带你到一些与任何事情无关的阴暗网站。

AdSense revolutionized advertisement.

AdSense 彻底改变了广告方式。

It’s one of the greatest inventions in recent history because it allows us, for free, to have access to all these kinds of services.

它是近代历史上最伟大的发明之一,因为它使我们能够免费获得所有这些类型的服务。

So ads fuel a lot of really powerful services.

因此,广告推动了许多真正强大的服务。

And at its best it’s showing you relevant ads, but also very importantly in a way that’s not super annoying, in a classy way.

最好的情况是,它会向您展示相关的广告,但也非常重要的是,它会以一种不会非常烦人的方式,以一种优雅的方式。

So when do you think it’s possible to add ads into AI mode and what does that look like from a classy, non-annoying perspective?

那么,您认为什么时候可以将广告添加到人工智能模式中?从优雅、不烦人的角度来看,这是什么样的?

Sundar Pichai1:07:52

Two things.

有两件事。

1:07:52 Early part of AI mode, we’ll obviously focus more on the organic experience to make sure we are getting it right.

在人工智能模式的早期,我们显然会更多地关注有机体验,以确保我们做得正确。

I think the fundamental value of ads are-

我认为广告的基本价值是——

1:08:00 I think the fundamental value of ads are it enables access to deploy the services to billions of people.

我认为广告的根本价值在于它使数十亿人能够访问部署服务。

Second is ads are the reason we’ve always taken ads seriously is we view ads as commercial information, but it’s still information.

其次,广告是我们一直认真对待广告的原因,因为我们将广告视为商业信息,但它仍然是信息。

So we bring the same quality metrics to it.

因此,我们为其带来相同的质量指标。

I think with AI mode, to our earlier conversation about…

我认为人工智能模式,对于我们之前的谈话……

I think AI itself will help us, over time, figure out the best way to do it.

我认为随着时间的推移,人工智能本身将帮助我们找到实现这一目标的最佳方法。

I think given we are giving context around everything, I think it’ll give us more opportunities to also explain, “Okay, here’s some commercial information.” Like today as a podcaster, you do it at certain spots, and you probably figure out what’s best in your podcast.

我认为鉴于我们正在提供一切的背景信息,我认为这会给我们更多的机会来解释,“好吧,这是一些商业信息。”就像今天作为一名播客一样,你在某些地方这样做,你可能会找出你的播客中最好的部分。

I think so, there are aspects of that, but I think the underlying need of people value commercial information, businesses are trying to connect to users.

我认为是这样,有一些方面,但我认为人们重视商业信息的潜在需求,企业正在尝试与用户建立联系。

1:08:58 All that doesn’t change in an AI moment, but look, we will rethink it.

在人工智能时代,这一切都不会改变,但我们会重新思考它。

You’ve seen us in YouTube now do a mixture of subscription and ads.

您已经在 YouTube 上看到我们现在将订阅和广告结合起来。

Like, obviously, we are now introducing subscription offerings across everything.

显然,我们现在在所有领域都推出订阅服务。

So as part of that, the optimization point will end up being a different place as well.

因此,作为其中的一部分,优化点最终也将位于不同的地方。

Lex Fridman1:09:23

Do you see a trajectory in the possible future where AI mode completely replaces the 10 blue links plus AI overview?

您是否认为未来可能的轨迹是 AI 模式完全取代 10 个蓝色链接加 AI 概览?

Sundar Pichai1:09:32

Our current plan is AI mode is going to be there as a separate tab for people who really want to experience that, but it’s not yet at the level there, our main search pages.

我们目前的计划是,人工智能模式将作为一个单独的选项卡,供那些真正想体验它的人使用,但它还没有达到我们主要搜索页面的水平。

1:09:32 But as features work will keep migrating it to the main page, and so you can view it as a continuum.

但随着功能的发挥,它会不断迁移到主页,因此您可以将其视为一个连续体。

AI mode will offer you the bleeding edge experience, but things that work will keep overflowing to AI overviews and the main experience.

AI 模式将为您提供前沿体验,但有效的内容将不断溢出到 AI 概述和主要体验中。

Lex Fridman1:10:02

And the idea that AI mode will still take you to the web to human created web?

人工智能模式仍然会带你进入人类创建的网络吗?

Sundar Pichai1:10:06

Yes, that’s going to be a core design principle for us.

是的,这将成为我们的核心设计原则。

Lex Fridman1:10:08

So really, if users decide, right?

所以说真的,如果用户决定的话,对吗?

1:10:08 They drive this.

他们驾驶这个。

Sundar Pichai1:10:11

Yeah.

是的。

Lex Fridman1:10:13

It’s just exciting.

这太令人兴奋了。

1:10:13 A little bit scary that it might change the internet because Google has been dominating with a very specific look and idea of what it means to have the internet.

有点可怕的是,它可能会改变互联网,因为谷歌一直以非常具体的外观和对互联网意味着什么的想法占据主导地位。

As you move to AI mode, I mean, it’s just a different experience.

我的意思是,当你转向人工智能模式时,这只是一种不同的体验。

I think Liz was talking about it.

我觉得lz说的是这个。

I think you’ve mentioned that you ask more questions.

我想你已经提到你会问更多问题。

You ask longer questions.

你问更长的问题。

Sundar Pichai1:10:41

Dramatically different types of questions.

问题类型截然不同。

Lex Fridman1:10:43

Yeah, it actually fuels curiosity.

是的,它确实激发了好奇心。

1:10:43 I think, for me, I’ve been asking just a much larger number of questions of this black box machine, let’s say, whatever it is, and with the AI overview, it’s interesting because I still value the human…

我认为,对我来说,我一直在问这台黑匣子机器更多的问题,比如说,无论它是什么,对于人工智能的概述,这很有趣,因为我仍然重视人类......

I still ultimately want to end up on the human created web, but like you said, the context really helps.

我最终仍然希望进入人类创建的网络,但正如你所说,上下文确实有帮助。

Sundar Pichai1:11:09

It helps us deliver higher-quality referrals, right?

它可以帮助我们提供更高质量的推荐,对吧?

1:11:09 Where people, they have much higher likelihood of finding what they’re looking for.

人们在那里找到他们想要的东西的可能性要高得多。

They’re exploring.

他们正在探索。

They’re curious.

他们很好奇。

Their intent is getting satisfied more.

他们的意图更加得到满足。

So that’s what all our metrics show.

这就是我们所有指标所显示的内容。

Lex Fridman1:11:25

It makes the humans that create the web nervous.

它让创造网络的人们感到紧张。

1:11:25 The journalists are getting nervous.

记者们开始紧张了。

They’ve already been nervous.

他们已经紧张了。

Like we mentioned, CNN is nervous because the podcasts…

正如我们提到的,CNN 很紧张,因为播客……

It makes people nervous.

这让人紧张。

Sundar Pichai1:11:37

Look, I think news and journalism will play an important role in the future.

看,我认为新闻和新闻业将在未来发挥重要作用。

1:11:37 We are pretty committed to it, right?

我们非常致力于它,对吧?

So I think making sure that ecosystem, in fact, I think we’ll be able to differentiate ourselves as a company over time because of our commitment there.

因此,我认为确保这个生态系统,事实上,我认为随着时间的推移,我们将能够使自己作为一家公司脱颖而出,因为我们对此的承诺。

So it’s something, I think, I definitely value a lot, and as we are designing, we’ll continue prioritizing approaches.

所以,我认为,我绝对非常看重这一点,并且在我们设计时,我们将继续优先考虑方法。

Lex Fridman1:12:05

I’m sure for the people who want, they can have a fine-tuned AI model that’s clickbait hit pieces that will replace current journalism.

我确信对于那些想要的人来说,他们可以拥有一个经过微调的人工智能模型,该模型将取代当前的新闻报道。

1:12:05 That’s a shot of journalism.

这是新闻报道的镜头。

Forgive me.

对不起。

But I find that if you’re looking for really strong criticism of things, that Gemini is very good at providing that.

但我发现,如果你正在寻找对事物的真正强烈的批评,双子座非常擅长提供这种批评。

Sundar Pichai1:12:23

Oh, absolutely.

哦,绝对是。

1:12:23 I.

我。

Lex Fridman1:12:24

T’s better than anything they…

T 比他们的任何东西都好……

1:12:24 For now, I mean.

我的意思是,现在。

People are concerned that there would be bias that’s introduced that as the AI systems become more and more powerful, there’s incentive from sponsors to roll in and try to control the output of the AI models.

人们担心,随着人工智能系统变得越来越强大,赞助商会有动力介入并试图控制人工智能模型的输出,从而引入偏见。

But for now, the objective criticism that’s provided is way better than journalism.

但就目前而言,所提供的客观批评比新闻要好得多。

1:12:46 Of course, the argument is the journalists are still valuable, but then, I don’t know, the crowdsourced journalism that we get on the open internet is also very, very powerful.

当然,争论的焦点是记者仍然有价值,但我不知道,我们在开放互联网上获得的众包新闻也非常非常强大。

Sundar Pichai1:12:56

I feel like they’re all super important things.

我觉得它们都是非常重要的事情。

1:12:56 I think it’s good that you get a lot of crowdsourced information coming in, but I feel like there is real value for high-quality journalism, right?

我认为获得大量众包信息是件好事,但我觉得高质量的新闻报道具有真正的价值,对吗?

I think these are all complimentary, I think.

我认为这些都是免费的。

Like, I view it as I find myself constantly seeking out, also, like, try to find objective reporting on things too.

就像,我认为它是因为我发现自己不断地寻找,也,就像,尝试找到对事物的客观报道。

Sometimes you get more context from the crowd-funded sources you read online, but I think both end up playing a super important role.

有时,您可以从在线阅读的众筹资源中获得更多背景信息,但我认为两者最终都会发挥非常重要的作用。

Lex Fridman1:13:32

So you’ve spoken a little about this.

所以你已经谈了一些这个问题了。

1:13:32 Dennis talked about this, it’s sort of the slice of the web that will increasingly become about providing information for agents.

丹尼斯谈到了这一点,这是网络的一部分,将越来越多地为代理商提供信息。

So we can think about as two layers of the web.

因此,我们可以将其视为网络的两层。

One is for humans, one is for agents.

一种是针对人类的,一种是针对代理的。

Do you see the AI agents?

你看到人工智能特工了吗?

Do you see the one that’s for AI agents growing over time?

您是否看到针对人工智能代理的那个随着时间的推移而增长?

Do you there still being long-term 5, 10 years value for the human created for the purpose of human consumption web, or will it all be agents in the end?

为人类消费网络而创建的人类是否还具有5年、10年的长期价值,还是最终都会成为代理?

Sundar Pichai1:14:09

Today, not everyone does, but you go to a big retail store, you love walking the aisle, you love shopping or grocery store, picking out food, et cetera, but you’re also online shopping, and they’re delivering, right?

今天,不是每个人都这样做,但你去一家大型零售店,你喜欢走在过道上,你喜欢购物或杂货店,挑选食物等等,但你也在网上购物,而且他们正在送货,对吗?

1:14:09 So both are complementary, and that’s true for restaurants, et cetera.

所以两者是互补的,对于餐馆等来说也是如此。

So I do feel like, over time, websites will also get better for humans.

所以我确实觉得,随着时间的推移,网站也会变得更适合人类。

They will be better design.

他们将会有更好的设计。

AI might actually design them better for humans.

人工智能实际上可能会更好地为人类设计它们。

1:14:41 So I expect the web to get a lot richer, and more interesting, and better to use.

因此,我期望网络变得更加丰富、更加有趣、并且更好用。

At the same time, I think there’ll be an agentic web, which is also making a lot of progress, and you have to solve the business value and the incentives to make that work well, right?

与此同时,我认为将会出现一个代理网络,它也取得了很大的进展,你必须解决商业价值和激励问题才能使其发挥良好作用,对吗?

For people to participate in it.

让人们参与其中。

1:15:05 But I think both will coexist, and obviously, the agents may not need the same…

但我认为两者会共存,显然,代理商可能不需要相同的......

Not may not.

不可以不。

They won’t need the same design and the UI paradigms which humans need to interact with.

他们不需要与人类交互所需的相同设计和 UI 范例。

But I think both will be there.

但我认为两者都会存在。

Lex Fridman1:15:23

I have to ask you about Chrome.

我得问你关于 Chrome 的事。

1:15:23 I have to say, for me personally, Google Chrome is probably, I don’t know, I’d like to see where I would rank it, but in this temptation, and this is not a recency bias, although it might be a little bit, but I think it’s up there, top three, maybe the number one piece of software for me of all time.

我不得不说,就我个人而言,谷歌浏览器可能是,我不知道,我想看看我会把它排在哪里,但在这种诱惑下,这不是新近度偏见,虽然可能有点,但我认为它在那里,前三名,也许是我有史以来排名第一的软件。

It’s incredible.

太不可思议了。

It’s really incredible.

真是不可思议。

1:15:46 The browser is our window to the web, and Chrome really continues for many years.

浏览器是我们访问网络的窗口,Chrome 确实已经持续了很多年。

But even initially, to push the innovation on that front when it was stale, and it continues to challenge.

但即使是在最初,当它已经过时时,要推动这方面的创新,并且它会继续面临挑战。

It continues to make it more performant, so efficient, and just innovate constantly, and the Chromium aspect of it.

它继续使其性能更高、更高效,并且不断创新,以及它的 Chromium 方面。

1:16:07 Anyway, you were one of the pioneers of Chrome pushing for it when it was an insane idea, probably one of the ideas that was criticized, and doubted, and so on.

不管怎样,你是 Chrome 的先驱之一,当时它是一个疯狂的想法,可能是受到批评和怀疑的想法之一。

So can you tell me the story of what it took to push for Chrome?

那么您能告诉我推动 Chrome 的故事吗?

What was your vision?

你的愿景是什么?

Sundar Pichai1:16:29

Look, it was such a dynamic time around 2004, 2005 with AJAX, the web suddenly becoming dynamic.

看,2004 年、2005 年是一个充满活力的时期,随着 AJAX 的出现,网络突然变得充满活力。

1:16:29 In a matter of few months, Flickr, Gmail, Google Maps, all kind of came into existence, right?

在短短几个月内,Flickr、Gmail、Google 地图等等就应运而生了,对吧?

Like, the fact that you have an interactive dynamic web.

就像,您拥有一个交互式动态网络这一事实。

The web was evolving from simple text pages, simple HTML to rich dynamic applications, but at the same time, you could see the browser was never meant for that world, right?

Web 正在从简单的文本页面、简单的 HTML 发展到丰富的动态应用程序,但与此同时,您可以看到浏览器从来就不是为这个世界设计的,对吗?

Like, JavaScript execution was super slow.

比如,JavaScript 的执行速度非常慢。

1:17:12 The browser was far away from being an operating system for that rich modern web which was coming into place.

浏览器距离成为即将到来的丰富现代网络的操作系统还很遥远。

So that’s the opportunity we saw.

这就是我们看到的机会。

It’s an amazing early team.

这是一支了不起的早期团队。

I still remember the day we got a shell on WebKit running and how fast it was.

我仍然记得我们在 WebKit 上运行 shell 的那一天以及它的速度有多快。

We had the clear vision for building a browser.

我们对构建浏览器有清晰的愿景。

We wanted to bring Core OS principles into the browser, right?

我们想将核心操作系统原则引入浏览器,对吗?

1:17:44 So we built a secure browser, sandbox.

所以我们构建了一个安全的浏览器,沙箱。

Each tab was its own.

每个选项卡都是它自己的。

These things are common now, but at the time, it was pretty unique.

这些东西现在很常见,但在当时,却是相当独特的。

We found an amazing team in Aarhus, Denmark with a leader who built the JavaScript VM, which at the time, was 25 times faster than any other JavaScript VM out there.

我们在丹麦奥胡斯找到了一支出色的团队,其中一位领导者构建了 JavaScript VM,当时该 VM 比任何其他 JavaScript VM 快 25 倍。

By the way, you are right.

顺便说一句,你是对的。

We open-sourced it all and put it in Chromium too, but we really thought the web could work much better, much faster, and you could be much safer browsing the web, and the name Chrome came because literally felt people were…

我们将其全部开源,并将其也放入 Chromium 中,但我们确实认为网络可以运行得更好、更快,并且您可以更安全地浏览网络,而 Chrome 这个名称的出现是因为人们确实觉得……

Or the Chrome of the browser was getting clunkier.

或者 Chrome 浏览器变得越来越笨重。

1:18:32 We wanted to minimize it.

我们想尽量减少它。

So that was the origins of the project.

这就是该项目的起源。

Definitely, obviously, highly-biased person here talking about Chrome, but it’s the most fun I’ve had building a product from the ground up, and it was an extraordinary team.

显然,这里的人在谈论 Chrome 时带有很大的偏见,但这是我从头开始构建产品以来最有趣的事情,而且这是一个非凡的团队。

My co-founders on the project were terrific, so definite fond memories.

我在这个项目上的联合创始人非常棒,所以给我留下了美好的回忆。

Lex Fridman1:18:56

So for people who don’t know, Sundar, it’s probably fair to say, you’re the reason we have Chrome.

因此,对于那些不知道的人来说,Sundar,可以公平地说,你是我们拥有 Chrome 的原因。

1:18:56 Yes, I know there’s a lot of incredible engineers, but pushing for it inside a company that probably was opposing it because it’s a crazy idea, because as everybody probably knows, it’s incredibly difficult to build a browser.

是的,我知道有很多令人难以置信的工程师,但在一家公司内部推动它可能会反对它,因为这是一个疯狂的想法,因为每个人都可能知道,构建一个浏览器非常困难。

Sundar Pichai1:19:13

Yeah, look, Eric was the CEO at the time.

是的,看,埃里克当时是首席执行官。

1:19:13 I think it was less that he was supposed to it.

我认为他不应该这样做。

He kind of first-hand knew what a crazy thing it is to go build a browser, and so he definitely was like, “This is…” There was a crazy aspect to actually wanting to go build a browser, but he was very supportive.

他直接知道构建一个浏览器是一件多么疯狂的事情,所以他肯定会说,“这是……”实际上想要构建一个浏览器有一个疯狂的方面,但他非常支持。

Everyone…

大家……

The founders were.

创始人是。

1:19:36 I think once we started building something, and we could use it.

我想一旦我们开始构建一些东西,我们就可以使用它。

And see how much better, from then on, you’re really tinkering with the product and making it better.

看看从那时起,你真的在​​修补产品并使其变得更好。

It came to life pretty fast.

它很快就变得栩栩如生。

Lex Fridman1:19:48

What wisdom do you draw from that?

你从中得到什么智慧?

1:19:48 From pushing through on a crazy idea in the early days that ends up being revolutionary, for future crazy ideas like it?

从早期推动一个最终成为革命性的疯狂想法,到未来像这样的疯狂想法?

Sundar Pichai1:20:00

I mean, this is something Larry and Sergey have articulated clearly.

我的意思是,拉里和谢尔盖已经明确表达了这一点。

1:20:00 I really internalized this early on, which is their whole feeling around working on moonshots as a way.

我很早就内化了这一点,这就是他们对登月计划工作的整体感受。

When you work on something very ambitious, first of all, it attracts the best people, right?

当你从事雄心勃勃的事情时,首先,它会吸引最优秀的人才,对吗?

So that’s an advantage you get.

这就是你获得的优势。

Number two, because it’s so ambitious, you don’t have others working on something crazy.

第二,因为它是如此雄心勃勃,所以你不会让其他人在做一些疯狂的事情。

So you pretty much have the path to yourselves, right?

所以你几乎有自己的路,对吧?

It’s like Waymo and self-driving.

这就像 Waymo 和自动驾驶。

Number three, even if you end up quite not accomplishing what you set out to do and you end up doing 60, 80% of it, it’ll end up being a terrific success.

第三,即使你最终没有完成你设定的目标,而你最终完成了其中的 60%、80%,它最终也会取得巨大的成功。

So that’s the advice I would give people, right?

这就是我会给人们的建议,对吧?

I think it’s just aiming for big ideas, has all these advantages, and it’s risky, but it also has all these advantages which people I don’t think fully internalize.

我认为它只是针对伟大的想法,具有所有这些优势,而且它是有风险的,但它也具有我认为人们没有完全内化的所有这些优势。

Lex Fridman1:20:57

I mean, you mentioned one of the craziest biggest moonshots, which is Waymo.

我的意思是,你提到了最疯狂的、最大的登月计划之一,那就是 Waymo。

1:20:57 It’s when I first saw, over a decade ago, a Waymo vehicle, a Google self-driving car vehicle.

十多年前,我第一次看到 Waymo 车辆、谷歌自动驾驶汽车。

For me, it was an aha moment for robotics.

对我来说,这是机器人技术的一个顿悟时刻。

It made me fall in love with robotics even more than before.

这让我比以前更加爱上了机器人技术。

It gave me a glimpse into the future.

它让我看到了未来。

So it’s incredible.

所以这太不可思议了。

I’m truly grateful for that project, for what it symbolizes, but it’s also a crazy moonshot.

我真的很感谢这个项目,感谢它所象征的意义,但这也是一个疯狂的登月计划。

1:21:28 For a long time, Waymo’s been, like you mentioned with scuba diving, just not listening to anybody, just calmly improving the system better, and better, more testing, just expanding the operational domain more and more.

很长一段时间以来,Waymo 一直,就像你提到的水肺潜水一样,只是不听任何人的意见,只是冷静地更好地改进系统,更好,更多的测试,只是越来越多地扩展操作领域。

First of all, congrats on the 10 million paid Robotaxi rides.

首先,恭喜Robotaxi付费乘车次数突破1000万次。

What lessons do you take from Waymo about, like, the perseverance, the persistence on that project?

您从 Waymo 中学到了哪些关于该项目的毅力和坚持的教训?

Sundar Pichai1:21:57

Really proud of the progress we have had with Waymo.

我们对 Waymo 所取得的进展感到非常自豪。

1:21:57 One of the things I think we were very committed to, the final 20% can look like…

我认为我们非常致力于的一件事是,最后的 20% 可能看起来像……

I mean, we always say, right?

我的意思是,我们总是说,对吧?

The first 80% is easy, the final 20% takes 80% of the time.

前80%很容易,最后20%需要80%的时间。

I think we definitely were working through that phase with Waymo, but I was aware of that, but we knew we were at that stage.

我认为我们确实正在与 Waymo 一起度过这个阶段,但我知道这一点,但我们知道我们正处于那个阶段。

1:22:21 We knew while there were many other self-driving companies, we knew the technology gap was there.

我们知道,虽然还有许多其他自动驾驶公司,但我们知道技术差距仍然存在。

In fact, right at the moment, when others were doubting Waymo is when, I don’t know, made the decision to invest more in Waymo, right?

事实上,就在别人质疑Waymo的时候,我不知道是什么时候,做出了加大对Waymo投资的决定,对吧?

Because so in some ways it’s counterintuitive, but I think, look, we’ve always been a deep technology company, and waymo is a version of kind of building a AI robot that works well, and so we get attracted to problems like that.

因为在某些方面这是违反直觉的,但我认为,看,我们一直是一家深度技术公司,而 Waymo 是一种构建运行良好的人工智能机器人的版本,所以我们被这样的问题所吸引。

The caliber of the teams there, phenomenal teams.

那里的团队实力非凡,是非凡的团队。

1:23:03 So I know you followed the space super closely.

所以我知道你非常密切地关注着这个空间。

I’m talking to someone who knows the space well, but it was very obvious, it’s going to get there, and there’s still more work to do, but it’s a good example where we always prioritized being ambitious and safety at the same time, right?

我正在和一个非常了解这个领域的人交谈,但很明显,它会到达那里,而且还有更多的工作要做,但这是一个很好的例子,我们总是同时优先考虑雄心勃勃和安全,对吗?

Equally committed to both and pushed hard and couldn’t be more thrilled with how it’s working, how much people love the experience.

同样致力于这两者并努力推动,并且对它的运作方式以及人们对这种体验的热爱感到无比兴奋。

This year, definitely, we’ve scaled up a lot, and we’ll continue scaling up in ’26.

今年,我们肯定扩大了很多规模,并且我们将在 26 年继续扩大规模。

Lex Fridman1:23:42

That said, the competition is heating up.

也就是说,竞争正在升温。

1:23:42 You’ve been friendly with Elon even though, technically, he’s a competitor, but you’ve been friendly with a lot of tech CEOs, in that way, just showing respect towards them and so on.

你一直和埃隆很友好,尽管从技术上来说,他是你的竞争对手,但你一直和很多科技公司的首席执行官很友好,通过这种方式,只是对他们表示尊重等等。

What do you think about the Robotaxi efforts that Tesla is doing?

您如何看待特斯拉在 Robotaxi 方面所做的努力?

Do you see it as competition?

您认为这是竞争吗?

What do you think?

你怎么认为?

Do you like the competition?

你喜欢比赛吗?

Sundar Pichai1:24:02

We are one of the earliest and biggest backers of SpaceX as Google, right?

我们和谷歌一样,都是 SpaceX 最早、最大的支持者之一,对吧?

1:24:02 So thrilled with what SpaceX is doing and fortunate to be investors as a company there, right?

对 SpaceX 所做的事情感到非常兴奋,并且很幸运能够成为那里的投资者,对吗?

We don’t compete with Tesla directly.

我们不直接与特斯拉竞争。

We are not making cars, et cetera, right?

我们不生产汽车等等,对吗?

We are building L4, 5 autonomy.

我们正在建设 L4、5 级自治。

We are building a Waymo driver, which is general purpose and can be used in many settings.

我们正在构建一个 Waymo 驱动程序,它是通用的,可以在许多设置中使用。

1:24:32 They’re obviously working on making Tesla self-driving too.

显然他们也在致力于让特斯拉实现自动驾驶。

I’ve just assumed it’s a de facto that Elon would succeed in whatever it does.

我只是假设事实上埃隆无论做什么都会成功。

So that is not something I question, but I think we are so far from…

所以这不是我质疑的问题,但我认为我们距离……还很远。

These spaces are such vast spaces.

这些空间是如此广阔。

Like, I think about transportation, the opportunity space, the Waymo driver is a general purpose technology we can apply in many situations.

就像我想到的交通、机会空间一样,Waymo 驱动程序是一种通用技术,我们可以在很多情况下应用。

So you have a vast green space in all future scenarios, I see Tesla doing well and Waymo doing well.

因此,在未来的所有场景中,你都会拥有广阔的绿色空间,我认为特斯拉做得很好,Waymo 做得也很好。

Lex Fridman1:25:13

Like we mentioned with the Neolithic package, I think it’s very possible that in the “AI package” when the history is written, autonomous vehicles, self-driving cars is like the big thing that changes everything.

就像我们在新石器时代的软件包中提到的那样,我认为很有可能在“人工智能软件包”中,当历史被书写时,自动驾驶汽车、自动驾驶汽车就像是改变一切的大事。

1:25:13 Imagine, over a period of a decade or two, just the complete transition from manually-driven to autonomous, in ways we might not predict, it might change the way we move about the world completely.

想象一下,在一两年内,从手动驾驶到自动驾驶的完全转变,以我们可能无法预测的方式,它可能会彻底改变我们在世界上移动的方式。

1:25:41 So the possibility of that and then the second and third order effects, as you’re seeing now with Tesla, very possibly, would see some…

因此,这种可能性以及二阶和三阶效应,正如你现在在特斯拉身上看到的那样,很可能会看到一些……

Internally, with Alphabet, maybe Waymo, maybe some of the Gemini robotics stuff, it might lead you into the other domains of robotics because we should remember that Waymo is a robot.

在内部,Alphabet,也许是 Waymo,也许是 Gemini 的一些机器人技术,它可能会引导你进入机器人技术的其他领域,因为我们应该记住 Waymo 是一个机器人。

Sundar Pichai1:26:04

Mm-hmm.

嗯嗯。

Lex Fridman1:26:05

It just happens to be on four wheels.

它恰好有四个轮子。

1:26:05 So you said that the next big thing, we can also throw that into AI package.

所以你说下一件大事,我们也可以将其放入人工智能包中。

The big aha moment might be in the space of robotics.

重大的顿悟时刻可能出现在机器人领域。

What do you think that would look like?

你认为那会是什么样子?

Sundar Pichai1:26:20

Demis and the Google DeepMind team is very focused on Gemini robotics, right?

Demis 和 Google DeepMind 团队非常专注于 Gemini 机器人,对吗?

Lex Fridman1:26:20

Yeah.

是的。

Sundar Pichai1:26:23

So we are definitely building the underlying model as well.

所以我们肯定也在构建底层模型。

1:26:23 So we have a lot of investments there, and I think we are also pretty cutting-edge in our research there.

所以我们在那里有很多投资,我认为我们在那里的研究也相当前沿。

So we are definitely driving that direction.

所以我们肯定会朝这个方向努力。

We obviously are thinking about applications in robotics.

我们显然正在考虑在机器人技术中的应用。

We’ll kind of work CSD.

我们将在 CSD 中开展工作。

We are partnering with a few companies today, but it’s an area I would say stay tuned.

今天我们正在与几家公司合作,但我想说,这是一个值得关注的领域。

1:26:48 We are yet to fully articulate our plans outside, but it’s an area we are definitely committed to driving a lot of progress.

我们尚未向外界完全阐明我们的计划,但我们绝对致力于在这个领域取得巨大进展。

But I think AI ends up driving that massive progress on robotics.

但我认为人工智能最终会推动机器人技术的巨大进步。

The field has been held back for a while.

该领域已经停滞了一段时间。

I mean, hardware has made extraordinary progress.

我的意思是,硬件已经取得了非凡的进步。

The software had been the challenge, but with AI now and the generalized models we are building, we are building these models, getting them to work in the real world in a safe way, in a generalized way is the frontier we are pushing pretty hard on.

软件一直是挑战,但现在有了人工智能和我们正在构建的通用模型,我们正在构建这些模型,让它们以安全的方式在现实世界中工作,以通用的方式是我们正在努力推进的前沿。

Lex Fridman1:27:25

Well, it’s really nice to see the models and the different teams integrated to where all of them are pushing towards one world model that’s being built.

嗯,很高兴看到这些模型和不同的团队整合在一起,所有人都在推动正在构建的一个世界模型。

1:27:25 So from all these different angles, multimodal, you’re ultimately trying to get Gemini.

因此,从所有这些不同的角度,多式联运,你最终会试图获得双子座。

So the same thing that would make AI mode really effective in answering your questions, which requires a kind of world model is the same kind of thing that would help a robot be useful in the physical world.

因此,让人工智能模式真正有效地回答你的问题(需要一种世界模型)与帮助机器人在现实世界中发挥作用是一样的。

So everything’s aligned.

所以一切都对齐了。

Sundar Pichai1:27:54

That is what makes this moment so unique because running, a company for the first time, you can do one investment in a very deep horizontal way.

这就是这一刻如此独特的原因,因为第一次经营一家公司,你可以以非常深入的横向方式进行一项投资。

1:27:54 On top of it, you can drive multiple businesses forward, right?

除此之外,您还可以推动多项业务向前发展,对吧?

That’s effectively what we are doing in Google and Alphabet, right?

这实际上就是我们在 Google 和 Alphabet 所做的事情,对吧?

Lex Fridman1:28:14

Yeah, it’s all coming together.

是的,一切都在一起了。

1:28:14 Like, it was planned ahead of time, but it’s not, of course.

就像,这是提前计划好的,但当然不是。

It’s all distributed.

都是分布式的。

I mean, if Gmail, and Sheets, and all these other incredible services, I can sing Gmail praises for years.

我的意思是,如果 Gmail、表格以及所有其他令人难以置信的服务,我可以多年来一直对 Gmail 赞不绝口。

I mean, just this revolutionized email.

我的意思是,这彻底改变了电子邮件。

1:28:28 But the moment you start to integrate AI Gemini into Gmail, I mean that’s the other thing, speaking of productivity multiplier, people complain about email, but that changed everything.

但当你开始将 AI Gemini 集成到 Gmail 中时,我的意思是这是另一回事,说到生产力乘数,人们抱怨电子邮件,但这改变了一切。

Email, like the invention of email changed everything, and it has been ripe.

电子邮件,就像电子邮件的发明改变了一切一样,它已经成熟了。

There’s been a few folks trying to revolutionize email.

有一些人试图彻底改变电子邮件。

Some of them on top of Gmail, but that’s like ripe for innovation, not just spam filtering, but you demoed a really nice demo of-

其中一些是在 Gmail 之上,但这对于创新来说已经成熟了,不仅仅是垃圾邮件过滤,而且您演示了一个非常好的演示 -

Sundar Pichai1:28:55

Personalized responses, right?

个性化回复,对吗?

Lex Fridman1:28:56

Personalized responses.

个性化回复。

1:28:56 At first, I felt really bad about that, but then I realized that there’s nothing wrong to feel bad about because the example you gave is when a friend asks you went to whatever hiking location, “Do you have any advice?” It just searches through all your information to give them good advice, and then you put the cherry on top, maybe some love, or whatever camaraderie, but the informational aspect, the knowledge transfer, it does for you.

起初,我对此感到非常难过,但后来我意识到,感到难过并没有什么错,因为你举的例子是,当一个朋友问你去哪个徒步地点时,“你有什么建议吗?”它只是搜索你所有的信息,为他们提供好的建议,然后你把樱桃放在上面,也许是一些爱,或者任何友情,但信息方面,知识转移,它对你有用。

Sundar Pichai1:29:28

I think there’ll be important moments.

我想会有一些重要的时刻。

1:29:28 Like, today, if you write a card in your own handwriting and send it to someone, that’s a special thing.

就像今天,如果你亲笔写一张卡片并发送给某人,那是一件很特别的事情。

Similarly, there’ll be a time, I mean, to your friends, maybe your friend wrote and said he’s not doing well or something, those are moments you want to save your times for writing something, reaching out.

同样,有时候,我的意思是,对你的朋友来说,也许你的朋友写信说他做得不好或其他什么,这些时候你想节省时间来写一些东西,伸出援手。

But like saying, “Give me all the details of the trip you took to me makes a lot of sense for AI assistant to help you.” Right?

但就像是说,“告诉我你来我这里旅行的所有细节,对于人工智能助理来帮助你来说很有意义。”正确的?

1:29:59 So I think both are important, but I think I’m excited about that direction.

所以我认为两者都很重要,但我认为我对这个方向感到兴奋。

Lex Fridman1:30:04

Yeah, I think, ultimately, it gives more time for us humans to do the things we humans find meaningful.

是的,我认为,最终,它给了我们人类更多的时间去做我们人类认为有意义的事情。

1:30:04 I think it scares a lot of people because we’re going to have to ask ourselves the hard question of what do we find meaningful?

我认为这让很多人感到害怕,因为我们必须问自己一个难题:我们认为什么是有意义的?

I’m sure there’s answers, and it’s the old question of the meaning of existence.

我确信有答案,这就是存在意义的老问题。

As you have to try to figure that out, that might be ultimately parenting, or being creative in some domains of art or writing, and it challenges to…

当你必须尝试弄清楚这一点时,这可能最终是养育孩子,或者在艺术或写作的某些领域发挥创造力,这对……

1:30:32 It’s a good question of to ask yourself like, “In my life, what is the thing that brings me most joy and fulfillment?” If I’m able to actually focus more time on that, that’s really powerful.

这是一个很好的问题,可以问自己:“在我的生活中,给我带来最大快乐和成就感的事情是什么?”如果我能够真正把更多的时间集中在这上面,那真的很强大。

Sundar Pichai1:30:45

I think that’s the holy grail.

我认为这就是圣杯。

1:30:45 If you get this right, I think it allows more people to find that.

如果你做对了,我认为它会让更多的人发现它。

Lex Fridman1:30:52

I have to ask you, on the programming front, AI is getting really good at programming.

我不得不问你,在编程方面,人工智能正在变得非常擅长编程。

1:30:52 Gemini, both the agentic and just the LLM has been incredible, so a lot of programmers are really worried that they will lose their jobs.

双子座,无论是代理还是法学硕士都令人难以置信,所以很多程序员真的很担心他们会失去工作。

How worried should they be, and how should they adjust so they can be thriving in this new world, or more and more code is written by AI?

他们应该有多担心,又应该如何调整才能在这个新世界中蓬勃发展,或者越来越多的代码是由人工智能编写的?

Sundar Pichai1:31:16

I think a few things.

我想有几件事。

1:31:16 Looking at Google, we’ve given various stats around 30% of code now uses AI- generated suggestions or whatever it is.

看看 Google,我们给出了各种统计数据,现在大约 30% 的代码使用人工智能生成的建议或其他任何东西。

But the most important metric, and we carefully measure it is, like, how much has our engineering velocity increased as a company due to AI, right?

但我们仔细衡量的最重要的指标是,作为一家公司,由于人工智能,我们的工程速度提高了多少,对吧?

It’s tough measure, and we rigorously try to measure it, and our estimates are that number is now at 10%, right?

这是一个艰难的衡量标准,我们严格地尝试衡量它,我们估计这个数字现在为 10%,对吗?

1:31:51 Like, now, across the company, we’ve accomplished a 10% engineering velocity increase using AI, but we plan to hire more engineers next year, right?

就像现在,我们在整个公司使用人工智能实现了 10% 的工程速度提高,但我们计划明年雇用更多的工程师,对吗?

Because the opportunity space of what we can do is expanding too, right?

因为我们能做的事情的机会空间也在扩大,对吗?

Lex Fridman1:32:14

Mm-hmm.

嗯嗯。

Sundar Pichai1:32:15

So I think, hopefully, at least in the near to midterm, for many engineers, it frees up more and more of the…

所以我认为,希望至少在近期到中期,对于许多工程师来说,它可以释放越来越多的……

1:32:15 Even in engineering and coding, there are aspects which are so much fun.

即使在工程和编码方面,也有一些非常有趣的方面。

You’re designing.

你正在设计。

You’re architecting.

你正在设计。

You’re solving a problem.

你正在解决一个问题。

There’s a lot of grant work, which all goes hand in hand, but hopefully, it takes a lot of that away, makes it even more fun to code ,frees you up more time to create, problem, solve, brainstorm with your fellow colleagues and so on, right?

有很多资助工作,所有这些都是齐头并进的,但希望它能带走很多,让编码变得更加有趣,让你有更多的时间来创造、解决问题、与同事集思广益等等,对吧?

So that’s the opportunity there.

这就是机会。

1:32:56 Second, I think it’ll attract, it’ll put the creative power in more people’s hands, which means people will create more.

其次,我认为它会吸引,它将把创造力放在更多人的手中,这意味着人们会创造更多。

That means there’ll be more engineers doing more things.

这意味着将会有更多的工程师做更多的事情。

So it’s tough to fully predict, but I think in general, in this moment, it feels like people adopt these tools and be better programmers.

所以很难完全预测,但我认为总的来说,在这一刻,人们感觉人们采用了这些工具并成为更好的程序员。

Like, there are more people playing chess now than ever before, right?

就像,现在下棋的人比以往任何时候都多,对吗?

So it feels positive that way, to me, at least, speaking from within a Google context, is how I would talk to them about it.

因此,至少对我来说,从谷歌的角度来看,这感觉是积极的,这就是我与他们谈论这件事的方式。

Lex Fridman1:33:36

Still.

仍然。

1:33:36 I just know anecdotally, a lot of great programmers are generating a lot of code, so their productivity, they’re not always using all the code.

我只是知道,很多优秀的程序员都生成了大量代码,因此他们的生产力并不总是使用所有代码。

There’s still a lot of editing, but even for me, still programming as a side thing, I think I’m like 5x more productive.

仍然有很多编辑工作,但即使对我来说,仍然将编程作为副业,我认为我的工作效率提高了 5 倍。

I think even for a large code base that’s touching a lot of users like Google’s does, I’m imagining, very soon, that productivity should be going up even more.

我认为,即使对于像谷歌这样影响很多用户的大型代码库,我想,很快,生产力应该会进一步提高。

Sundar Pichai1:34:08

No.

不。

1:34:08 The big unlock will be as we make the agentic capabilities much more robust, right?

当我们使代理能力变得更加强大时,最大的解锁将是,对吗?

I think that’s what unlocks that next big wave.

我认为这就是开启下一个大浪潮的原因。

I think the 10% is a massive number.

我认为10%是一个很大的数字。

Like, if tomorrow, I showed up and said, “You can improve a large organization’s productivity by 10%,” when you have tens of thousands of engineers, that’s a phenomenal number, and that’s different than what other site or statistic saying like, “This percentage of code is now written by AI.”

就像,如果明天我出现并说,“你可以将大型组织的生产力提高 10%”,当你拥有数万名工程师时,这是一个惊人的数字,这与其他网站或统计数据所说的“这个百分比的代码现在是由人工智能编写的”不同。

1:34:41 I’m talking more about, like, overall-

我更多地谈论的是,总的来说——

Lex Fridman1:34:42

The actual productivity.

实际生产力。

Sundar Pichai1:34:43

The actual productivity.

实际生产力。

1:34:43 Right?

正确的?

Engineering productivity, which is two different things, which is the more important metric, but I think it’ll get better, right?

工程生产力,这是两个不同的东西,哪个是更重要的指标,但我认为它会变得更好,对吗?

I think there’s no engineer who, tomorrow, if you magically became 2x more productive, it’s just going to create more things.

我认为没有哪个工程师,明天,如果你的生产力神奇地提高了两倍,那只会创造更多的东西。

You’re going to create more value-added things, and so I think you’ll find more satisfaction in your job, right?

你将创造更多增值的东西,所以我认为你会在工作中找到更多的满足感,对吗?

Lex Fridman1:35:08

There’s a lot of aspects.

有很多方面。

1:35:08 I mean, the actual Google code base might just improve because it’ll become more standardized, more easier for people to move about the code base because AI will help with that, and therefore, that will also allow the AI to understand the entire code base better, which makes the engineering aspect.

我的意思是,实际的谷歌代码库可能会得到改进,因为它将变得更加标准化,人们更容易在代码库中移动,因为人工智能将对此有所帮助,因此,这也将使人工智能更好地理解整个代码库,这使得工程方面变得更加重要。

1:35:25 So I’ve been using Cursor a lot as a way to program with Gemini and other models.

因此,我经常使用 Cursor 作为对 Gemini 和其他模型进行编程的一种方式。

One of its powerful things is it’s aware of the entire code base, and that allows you to ask questions of it.

它的强大功能之一是它了解整个代码库,并且允许您提出问题。

It allows the agents to move about that code base in a really powerful way.

它允许代理以非常强大的方式移动该代码库。

I mean, that’s a huge unlock.

我的意思是,这是一个巨大的解锁。

Sundar Pichai1:35:44

Think about, like, migrations, refactoring old code bases.

想想迁移、重构旧代码库等。

Lex Fridman1:35:52

Refactoring, yeah.

重构,是的。

Sundar Pichai1:35:52

Yeah.

是的。

1:35:52 I mean, think about once we can do all this in a much better, more robust way than where we are today.

我的意思是,想想我们是否能够以比现在更好、更稳健的方式完成这一切。

Lex Fridman1:35:57

I think in the end, everything will be written in JavaScript and run in Chrome.

我认为最终一切都将用 JavaScript 编写并在 Chrome 中运行。

1:35:57 I think it’s all going to that direction.

我认为一切都会朝这个方向发展。

I mean, just for fun, Google has legendary coding interviews, like rigorous interviews for the engineers.

我的意思是,只是为了好玩,谷歌有传奇的编码面试,比如对工程师的严格面试。

Can you comment on how that has changed in the era of AI?

您能评论一下人工智能时代这发生了怎样的变化吗?

It’s just such a weird…

这真是太奇怪了……

The whiteboard interview, I assume, is not allowed to have some prompts.

我认为白板面试不允许有一些提示。

Sundar Pichai1:36:24

Such a good question.

这是个好问题。

1:36:24 Look, we are making sure we’ll introduce at least one round of in-person interviews for people just to make sure the fundamentals are there.

听着,我们确保为人们引入至少一轮面对面访谈,以确保基本面具备。

I think they’ll end up being important, but it’s an equally important skill.

我认为它们最终会变得很重要,但这是一项同样重要的技能。

Look, if you can use these tools to generate better code, I think that’s an asset.

看,如果您可以使用这些工具生成更好的代码,我认为这是一种资产。

So overall, I think it’s a massive positive.

总的来说,我认为这是一个巨大的积极因素。

Lex Fridman1:36:56

Vibe coding engineer, do you recommend people, students interested in programming still get an education in computer science in college education?

Vibe 编码工程师,您是否推荐对编程感兴趣的人们、学生仍然在大学教育中接受计算机科学教育?

1:36:56 What do you think?

你怎么认为?

Sundar Pichai1:37:06

I do.

我愿意。

1:37:06 If you have a passion for computer science, I would.

如果您对计算机科学充满热情,我会的。

Computer science is obviously a lot more than programming alone, so I would.

计算机科学显然不仅仅是编程,所以我会这样做。

I still don’t think I would change what you pursue.

我仍然不认为我会改变你的追求。

I think AI will horizontally allow impact every field.

我认为人工智能将横向影响各个领域。

It’s pretty tough to predict in what ways.

很难预测以什么方式。

So any education in which you’re learning good first principles thinking, I think, is good education.

因此,我认为,任何能让你学习良好的基本原理思维的教育都是好的教育。

Lex Fridman1:37:37

You’ve revolutionized web browsing.

您彻底改变了网络浏览方式。

1:37:37 You’ve revolutionized a lot of things over the years.

这些年来你已经彻底改变了很多事情。

Android changed the game.

Android 改变了游戏规则。

It’s an incredible operating system.

这是一个令人难以置信的操作系统。

We could talk for hours about Android.

我们可以谈论 Android 几个小时。

What does the future of Android look like?

Android的未来会是什么样子?

Is it possible it becomes more and more AI-centric, especially now you throw into the mix, Android XR, with being able to do augmented reality, and mixed reality, and virtual reality in the physical world?

它是否有可能变得越来越以人工智能为中心,特别是现在你加入了Android XR,能够在物理世界中实现增强现实、混合现实和虚拟现实?

Sundar Pichai1:38:09

The best innovations in computing have come through a paradigm IO change, right?

计算领域最好的创新来自于 IO 范式的改变,对吗?

1:38:09 When with GUI, and then with a graphical user interface, and then with multi-touch in the context of mobile voice later on.

当使用 GUI 时,然后使用图形用户界面,然后在移动语音环境中使用多点触控。

Similarly, I feel like AR is that next paradigm.

同样,我觉得 AR 是下一个范例。

I think it was held back.

我认为它被保留了。

Both the system integration challenges of making good AR is very, very hard.

制作优秀的 AR 所面临的系统集成挑战都非常非常困难。

1:38:38 The second thing is you need AI to actually kind of…

第二件事是你需要人工智能实际上......

Otherwise, the IO is too complicated for you to have a natural seamless IO to that paradigm.

否则,IO 太复杂,无法为该范例提供自然的无缝 IO。

AI ends up being super important, and so this is why Project Astra ends up being super critical for that Android XR world.

人工智能最终变得非常重要,这就是为什么 Project Astra 最终对于 Android XR 世界变得非常重要。

But it is.

但确实如此。

I think when you use glasses and…

我想当你戴眼镜时......

Always been amazed at how useful these things are going to be.

总是对这些东西的有用性感到惊讶。

1:39:10 So look, I think it’s a real opportunity for Android.

所以我认为这对 Android 来说是一个真正的机会。

I think XR is one way it’ll kind of really come to life, but I think there’s an opportunity to rethink the mobile OS too, right?

我认为 XR 是它真正实现的一种方式,但我认为也有机会重新思考移动操作系统,对吧?

I think we’ve been kind of living in this paradigm of apps and shortcuts.

我认为我们一直生活在这种应用程序和快捷方式的范式中。

All that won’t go away.

这一切都不会消失。

1:39:28 But again, if you’re trying to get stuff done at an operating system level, it needs to be more agentic so that you can kind of describe what you want to do or it proactively understands what you’re trying to do, learns from how you’re doing things over and over again and kind of as adapting to you all.

但同样,如果你想在操作系统级别完成工作,它需要更加代理,以便你可以描述你想要做什么,或者它主动理解你想要做什么,一遍又一遍地学习你如何做事,并适应你所有人。

That is kind of like the unlock we need to go and do.

这有点像我们需要去做的解锁。

Lex Fridman1:39:51

Well, the basic efficient minimalist UI.

嗯,基本高效的简约 UI。

1:39:51 I’ve gotten a chance to try the glasses and they’re incredible.

我有机会尝试一下这款眼镜,它们非常棒。

It’s the little stuff.

这是小事。

It’s hard to put into words, but no latency.

很难用语言表达,但没有延迟。

It just works.

它就是有效的。

Even that little map demo, where you look down and you look up, and there’s a very smooth transition between the two, and very small amount of useful information is shown to you, enough not to distract from the world outside, but enough to provide a bit of context when you need it.

即使是那个小地图演示,你向下看和向上看,两者之间的过渡非常平滑,并且向你显示非常少量的有用信息,足以不会分散你对外部世界的注意力,但足以在你需要时提供一些背景信息。

1:40:25 In order to bring that into reality, you have to solve a lot of the OS problems to make sure it works when you’re integrating the AI into the whole thing.

为了将其变为现实,您必须解决许多操作系统问题,以确保在将人工智能集成到整个系统中时它能够正常工作。

So everything you do launches an agent that answers some basic question.

所以你所做的一切都会启动一个代理来回答一些基本问题。

Sundar Pichai1:40:39

Good moonshot, you know?

很好的登月计划,你知道吗?

Lex Fridman1:40:39

Yeah, it’s crazy.

是的,这太疯狂了。

Sundar Pichai1:40:42

I love it.

我喜欢它。

1:40:42 But I think we are, but it’s much closer to reality than other moonshots.

但我认为我们是,但它比其他登月计划更接近现实。

We expect to have classes in the hands of developers later this year and in consumer science next year.

我们预计今年晚些时候将向开发人员开设课程,明年将开设消费者科学课程。

So it’s an exciting time.

所以这是一个激动人心的时刻。

Lex Fridman1:40:59

Yeah, well, extremely well-executed beam, all this stuff, because sometimes you don’t know.

是的,嗯,执行得非常好,所有这些东西,因为有时你不知道。

1:40:59 Like, somebody commented on a top comment on one of the demos of Beam.

比如,有人对 Beam 演示之一的热门评论发表了评论。

They said, “This will either be killed off in five weeks or revolutionize all meetings in five years.” And there’s very much, Google tries so many things, and sometimes, sadly, kills off very promising projects.

他们说,“这要么会在五周内被消灭,要么会在五年内彻底改变所有会议。”谷歌尝试了很多事情,但有时令人遗憾的是,它扼杀了非常有前途的项目。

But because there’s so many other things to focus on.

但因为还有很多其他事情需要关注。

1:41:27 I use so many Google products.

我使用了很多谷歌产品。

Google Voice, I still use.

谷歌语音,我还在用。

I’m so glad that’s not being killed off.

我很高兴它没有被杀死。

That’s still alive.

那还活着。

Thank you, whoever is defending that, because it’s awesome, and it’s great.

谢谢你,无论谁捍卫这一点,因为它太棒了,而且太棒了。

They keep innovating.

他们不断创新。

I just want to list off, just as a big thank you, so Search, obviously, Google revolutionized, Chrome, and all of these could be multi-hour conversations.

我只是想列出来,作为一个巨大的感谢,所以搜索,显然,谷歌彻底改变了,Chrome,所有这些都可能是几个小时的对话。

Gmail, I’ve been singing Gmail praises forever.

Gmail,我一直在歌颂 Gmail。

Maps, incredible technological innovation on revolutionizing mapping.

地图,令人难以置信的技术创新彻底改变了地图绘制。

Android, like we talked about.

Android,就像我们谈到的那样。

YouTube, like we talked about.

YouTube,就像我们谈到的那样。

AdSense, Google Translate for the academic mind…

AdSense、学术头脑的谷歌翻译……

1:42:01 …

……

Google Translate.

谷歌翻译。

For the academic mind Google Scholar is incredible.

对于学术头脑来说,谷歌学术是不可思议的。

And also the scanning of the books.

还有书籍的扫描。

So making all the world’s knowledge accessible, even with that knowledge is a kind of niche thing, which Google Scholar is.

因此,让世界上所有的知识都可以访问,即使有这些知识,也是一种小众的事情,谷歌学术就是这样。

And then obviously with DeepMind, with AlphaZero, AlphaFold and AlphaEvolve, I could talk forever about AlphaEvolve.

显然,有了 DeepMind、AlphaZero、AlphaFold 和 AlphaEvolve,我就可以永远谈论 AlphaEvolve。

That’s mind-blowing.

这真是令人兴奋。

All of that released.

所有这些都被释放了。

And as part of that set of things you’ve released in this year when those brilliant articles were written about Google is done.

作为今年发布的一系列内容的一部分,那些关于谷歌的精彩文章已经完成。

And like we talked about, pioneering self-driving cars and quantum computing, which could be another thing that is low-key that’s scuba diving its way to changing the world forever.

就像我们谈到的,开创自动驾驶汽车和量子计算,这可能是另一件低调的事情,它正在以水肺潜水的方式永远改变世界。

So another pothead/ [inaudible 01:42:53] question.

那么另一个傻瓜/[听不清 01:42:53] 问题。

If you build AGI, what kind of question would you ask it?

如果你构建 AGI,你会问它什么样的问题?

What would you want to talk about?

你想聊什么?

Definitively, Google has created AGI that can basically answer any question.

毫无疑问,谷歌创建的 AGI 基本上可以回答任何问题。

What topic are you going to?

你要讲什么主题?

Where are you going?

你要去哪里?

Sundar Pichai1:43:14

It’s a great question.

这是一个很好的问题。

1:43:14 Maybe it’s proactive by then and should tell me a few things I should know.

也许到那时它就已经很主动了,应该告诉我一些我应该知道的事情。

But I think if I were to ask it, I think it’ll help us understand ourselves much better in a way that’ll surprise us, I think.

但我认为,如果我问这个问题,我认为它将帮助我们更好地了解自己,以一种令我们惊讶的方式。

And so maybe that, you already see people do it with the products, but in a AGI context, I think that’ll be pretty powerful.

也许,你已经看到人们用这些产品做到了这一点,但在通用人工智能的背景下,我认为这将非常强大。

Lex Fridman1:43:43

On a personal level, or a general human nature?

在个人层面上,还是在一般人性层面上?

Sundar Pichai1:43:46

At a personal level.

在个人层面上。

Lex Fridman1:43:46

Okay.

好的。

Sundar Pichai1:43:47

So you talking to AGI, I think there is some chance it’ll understand you in a very deep way, I think in a profound way, that’s a possibility.

所以当你与 AGI 交谈时,我认为它有可能会非常深入地理解你,我认为以深刻的方式,这是有可能的。

1:43:47 I think there is also the obvious thing of maybe it helps us understand the universe better in a way that expands the frontiers of our understanding of the world.

我认为还有一个明显的事情,也许它可以帮助我们更好地理解宇宙,从而扩展我们对世界理解的前沿。

That is something super exciting.

这是非常令人兴奋的事情。

But look, I really don’t know.

但你看,我真的不知道。

I think I haven’t had access to something that powerful yet, but I think those are all possibilities.

我想我还没有接触到如此强大的东西,但我认为这些都是可能的。

Lex Fridman1:44:29

I think on the personal level, asking questions about yourself, a sequence of questions like that about what makes me happy, I think we would be very surprised to learn through a sequence of questions and answers, we might explore some profound truths in a way that sometimes art reveals to us, great books reveal to us, great conversations with loved ones reveal.

我认为在个人层面上,问一些关于你自己的问题,一系列关于什么让我快乐的问题,我想我们会非常惊讶地通过一系列的问题和答案来学习,我们可能会以一种有时艺术向我们揭示的方式,伟大的书籍向我们揭示的方式,与亲人的精彩对话揭示的方式探索一些深刻的真理。

1:44:29 Things that are obvious in retrospect, but are nice when they’re said.

事后看来是显而易见的事情,但说出来却很美好。

But for me, number one question is about, how many alien civilizations are there?

但对我来说,第一个问题是,有多少个外星文明?

100%.

100%。

Sundar Pichai1:45:05

That’s going to be your first question?

这将是你的第一个问题?

Lex Fridman1:45:06

Number one, how many living and dead alien civilizations?

第一,有多少活着和死去的外星文明?

1:45:06 Maybe a bunch of follow-ups, like how close are they?

也许有一堆后续行动,比如他们有多接近?

Are they dangerous?

它们危险吗?

If there’s no alien civilizations, why?

如果没有外星文明,为什么?

Or if there’s no advanced alien civilizations, but bacteria-like life everywhere.

或者如果没有先进的外星文明,但到处都有类似细菌的生命。

Why?

为什么?

What is the barrier preventing it from getting to that?

阻碍它实现这一目标的障碍是什么?

Is it because that when you get sufficiently intelligent, you end up destroying ourselves, because you need competition in order to develop an advanced civilization.

是不是因为当你变得足够聪明时,你最终会毁灭自己,因为你需要竞争才能发展先进的文明。

And when you have competition it’s going to lead to military conflict, and conflict eventually kills everybody.

当存在竞争时,就会导致军事冲突,而冲突最终会杀死所有人。

I don’t know, I’m going to have that kind of discussion.

我不知道,我会进行这样的讨论。

Sundar Pichai1:45:47

Get an answer to the Fermi Paradox, yeah.

得到费米悖论的答案,是的。

Lex Fridman1:45:49

Exactly.

确切地。

1:45:49 And have a real discussion about it.

并对此进行真正的讨论。

I’m realizing now with your answer is a more productive answer, because I’m not sure what I’m going to do with that information.

我现在意识到你的答案是一个更有成效的答案,因为我不确定我将如何处理这些信息。

But maybe it speaks to the general human curiosity that Liz talked about, that we’re all just really curious, and making the world’s information accessible allows our curiosity to be satiated some with AI even more, we can be more and more curious and learn more about the world, about ourselves.

但也许这符合 Liz 所说的人类普遍的好奇心,即我们都非常好奇,而让世界信息变得可访问可以让我们的好奇心通过人工智能得到更多满足,我们可以变得越来越好奇,并更多地了解世界、了解我们自己。

And in so doing, I always wonder, I don’t know if you can comment on, is it possible to measure the, not the GDP productivity increase like we talked about, but maybe whatever that increases, the breadth and depth of human knowledge that Google has unlocked with Google Search, and now with AI mode with Gemini, it’s a difficult thing to measure.

在这样做的过程中,我总是想知道,我不知道你是否可以评论,是否有可能衡量,不是我们所说的GDP生产率的增长,但也许无论增长多少,谷歌通过谷歌搜索解锁了人类知识的广度和深度,现在通过双子座的人工智能模式,这是一件很难衡量的事情。

Sundar Pichai1:46:47

Many years ago there was, I think it was a MIT study, they just estimated the impact of Google Search.

很多年前,我认为这是麻省理工学院的一项研究,他们只是估计了谷歌搜索的影响。

1:46:47 And they basically said it’s the equivalent to, on a per person basis, it’s few thousands of dollars per year per person, like is the value that got created per year.

他们基本上说,这相当于每人每年几千美元,就像每年创造的价值一样。

But yeah, it’s tough to capture these things, right?

但是,是的,捕捉这些东西很难,对吧?

You kind of take it for granted as these things come, and the frontier keeps moving.

当这些事情发生时,你会认为这是理所当然的,而且前沿不断前进。

But how do you measure the value of something like AlphaFold over time, and so on?

但是,如何衡量 AlphaFold 这样的东西随着时间的推移的价值等等?

Lex Fridman1:47:25

And also the increasing quality of life when you learn more.

当您了解更多时,生活质量也会提高。

1:47:25 I have to say with some of the programming I do done by AI, for some reason I’m more excited to program.

我不得不说,我用人工智能完成的一些编程,出于某种原因,我对编程更感兴趣。

Sundar Pichai1:47:35

Yeah.

是的。

Lex Fridman1:47:36

And so the same with knowledge, with discovering things about the world, it makes you more excited to be alive.

知识也是如此,通过发现世界上的事物,它会让你对活着更加兴奋。

1:47:36 It makes you more curious, and the more curious, you are more exciting it is to live and experience the world.

它让你更加好奇,好奇心越强,你对生活和体验这个世界就越兴奋。

And it’s very hard to…

而且很难……

I don’t know if that makes you more productive.

我不知道这是否会让你更有效率。

Probably not nearly as much as it makes you happy to be alive.

可能还没有让你快乐地活着。

And that’s a hard thing to measure, the quality of life increases some of these things do.

这是一件很难衡量的事情,其中​​一些事情可以提高生活质量。

As AI continues to get better and better at everything that humans do, what do you think is the biggest thing that makes us humans special?

随着人工智能在人类所做的一切事情上不断变得越来越好,你认为让我们人类与众不同的最重要的事情是什么?

Sundar Pichai1:48:14

Look, I think [inaudible 01:48:19] the essence of humanity, there’s something about the consciousness we have, what makes us uniquely human, maybe the lines will blur over time.

听着,我认为 [听不清 01:48:19] 人类的本质,我们拥有的意识,是什么让我们成为独特的人类,也许随着时间的推移,界限会变得模糊。

1:48:14 And it’s tough to articulate.

而且很难说清楚。

But I hope, hopefully we live in a world where if you make resources more plentiful and make the world lesser of a zero-sum game over time, which it’s not, but in a resource constrained environment, people perceive it to be.

但我希望,希望我们生活在这样一个世界:随着时间的推移,如果你让资源更加丰富,让世界不再是零和游戏,事实并非如此,但在资源有限的环境中,人们会认为是这样。

And so I hope the values of what makes us uniquely human, empathy, kindness, all that surfaces more is the aspirational hope I have.

因此,我希望使我们成为独特的人类的价值观,同理心,善良,所有这些更多地浮现出来的是我所拥有的渴望。

Lex Fridman1:49:11

Yeah, it multiplies the compassion, but also the curiosity, just the banter, the debates we’ll have about the meaning of it all.

是的,它增加了同情心,但也增加了好奇心,只是玩笑,我们将就这一切的意义进行辩论。

1:49:11 And I also think in the scientific domains, all the incredible work that DeepMind is doing, I think we’ll still continue to play, to explore scientific questions, mathematical questions, physics questions, even as AI gets better and better at helping us solve some of the questions.

我还认为在科学领域,DeepMind 正在做的所有令人难以置信的工作,我认为我们仍然会继续发挥作用,探索科学问题、数学问题、物理问题,即使人工智能在帮助我们解决一些问题方面变得越来越好。

Sometimes the question itself is a really difficult thing.

有时这个问题本身就是一件非常困难的事情。

Sundar Pichai1:49:43

Both the right new questions to ask and the answers to them and the self-discovery process, which it’ll drive, I think.

我认为,正确的新问题和答案以及自我发现的过程都会推动这一过程。

1:49:43 Our early work with both co-scientist and AlphaEvolve, just super exciting to see.

我们与联合科学家和 AlphaEvolve 的早期合作非常令人兴奋。

Lex Fridman1:49:59

What gives you hope about the future of human civilization.

是什么让你对人类文明的未来充满希望。

Sundar Pichai1:50:04

I’m an optimist, and I look at, if you were to say you take the journey of human civilization, we have relentlessly made the world better in many ways.

我是一个乐观主义者,我看,如果你说你踏上了人类文明的旅程,我们在很多方面都在不懈地让世界变得更好。

1:50:04 At any given moment in time, there are big issues to work through it may look, but I always ask myself the question, would you have been born now or any other time in the past?

在任何特定的时刻,可能都会有一些重大问题需要解决,但我总是问自己这个问题,你会是现在出生还是过去的任何其他时间出生?

I most often, not most often, almost always would rather be born now.

我最常,不是最常,几乎总是宁愿现在出生。

And so that’s the extraordinary thing the human civilization has accomplished, and we’ve kind of constantly made the world a better place.

这就是人类文明所取得的非凡成就,我们不断让世界变得更加美好。

And so something tells me as humanity, we always rise collectively to drive that frontier forward.

因此,有件事告诉我,作为人类,我们总是集体奋起推动这一前沿的发展。

So I expect it to be no different in the future.

所以我预计未来不会有什么不同。

Lex Fridman1:51:00

I agree with you totally.

我完全同意你的观点。

1:51:00 I’m truly grateful to be alive in this moment.

我真的很感激能活在这一刻。

And I’m also really excited for the future, and the work you and the incredible teams here are doing is one of the big reasons I’m excited for the future.

我也对未来感到非常兴奋,你们和这里令人难以置信的团队所做的工作是我对未来感到兴奋的重要原因之一。

So thank you.

所以谢谢你。

Thank you for all the cool products you’ve built.

感谢您打造的所有出色产品。

And please don’t kill Google Voice.

请不要杀死谷歌语音。

Thank you, Sundar.

谢谢你,桑达尔。

Sundar Pichai1:51:21

We won’t.

我们不会。

1:51:21 Yeah.

是的。

Lex Fridman1:51:22

Thank you for talking today.

谢谢你今天的发言。

1:51:22 This was incredible.

这太不可思议了。

Thank you.

谢谢。

Sundar Pichai1:51:24

Real pleasure.

真正的乐趣。

1:51:24 Appreciate it.

欣赏它。

Lex Fridman1:51:27

Thanks for listening to this conversation with Sundar Pichai.

感谢您收听与桑达尔·皮查伊的对话。

1:51:27 To support this podcast, please check out our sponsors in the description or at lexfridman.com/sponsors.

为了支持此播客,请在说明中或访问 lexfridman.com/sponsors 查看我们的赞助商。

Shortly before this conversation, I got a chance to get a couple of demos that frankly blew my mind.

在这次谈话之前不久,我有机会获得一些演示,坦率地说,它们让我大吃一惊。

The engineering was really impressive.

工程确实令人印象深刻。

The first demo was Google Beam, and the second demo was the XR glasses.

第一个演示是 Google Beam,第二个演示是 XR 眼镜。

And some of it was caught on video, so I thought I would include here some of those video clips.

其中一些是通过视频拍摄的,所以我想我应该在这里添加一些视频剪辑。

Andrew1:52:01

Hey Lex, my name’s Andrew.

嘿莱克斯,我叫安德鲁。

Lex Fridman1:52:03

How you doing?

你好吗?

Andrew1:52:03

I lead the Google Beam team and we’re going to be excited to show you a demo.

我领导着 Google Beam 团队,我们很高兴向您展示一个演示。

1:52:03 We’re going to show you, I think, a glimpse of something new.

我想,我们将向您展示一些新的东西。

So that’s the idea, a way to connect, a way to feel present from anywhere with anybody you care about.

这就是我们的想法,一种联系的方式,一种随时随地与你关心的人在一起的方式。

Here’s Google Beam.

这是 Google Beam。

This is a development platform that we’ve built.

这是我们搭建的一个开发平台。

So there’s a prototype here of Google Beam.

这里有一个 Google Beam 的原型。

There’s one right down the hallway.

走廊尽头就有一个。

I’m going to go down and turn that on in a second.

我马上下去把它打开。

We’re going to experience it together.

我们一起来体验一下。

We’ll be back in the same room.

我们会回到同一个房间。

Lex Fridman1:52:26

Wonderful.

精彩的。

1:52:26 Whoa.

哇哦。

Okay.

好的。

Andrew1:52:27

Hey Lex, here we are.

嘿莱克斯,我们到了。

Lex Fridman1:52:27

All right.

好的。

1:52:27 This is real already.

这已经是真实的了。

Wow.

哇。

Andrew1:52:27

This is real.

这是真的。

Lex Fridman1:52:27

Wow.

哇。

Andrew1:52:37

Good to see you.

很高兴见到你。

1:52:37 This is Google Beam.

这是谷歌光束。

We’re trying to make it feel like you and I could be anywhere in the world, but when these magic windows open, we’re back together.

我们试图让你和我感觉你和我可以在世界任何地方,但当这些神奇的窗户打开时,我们又回到了一起。

I see you exactly the same way you see me.

我看你的方式和你看我的方式完全一样。

It’s almost like we’re sitting at the table sharing a table together, I could learn from you, talk to you, share a meal with you, get to know you.

这几乎就像我们坐在一起共享一张桌子,我可以向你学习,与你交谈,与你共享一顿饭,了解你。

Lex Fridman1:52:37

So you can feel the depth of this.

所以你可以感受到这其中的深度。

Andrew1:52:37

Yeah, great to meet you.

是的,很高兴认识你。

Lex Fridman1:52:58

Wow.

哇。

1:52:58 So for people who probably can’t even imagine what this looks like, there’s a 3D version.

因此,对于那些可能无法想象这是什么样子的人来说,有一个 3D 版本。

It looks real.

看起来很真实。

You look real.

你看起来很真实。

Andrew1:53:06

Yeah.

是的。

1:53:06 It looks to me.

在我看来。

It looks real to you.

对你来说它看起来很真实。

Lex Fridman1:53:06

It looks like you’re coming out of the screen.

看起来你正从屏幕里走出来。

Andrew1:53:09

We quickly believe once we’re in Beam that we’re just together.

一旦我们来到 Beam,我们很快就相信我们就在一起了。

1:53:09 You settle into it.

你适应它。

Lex Fridman1:53:15

Yeah.

是的。

Andrew1:53:15

You’re naturally attuned to seeing the world like this, and you just get used to seeing people this way, but literally from anywhere in the world with these magic screens.

你自然而然地习惯了这样看世界,你也习惯了以这种方式看人,但实际上是从世界任何地方通过这些神奇的屏幕。

Lex Fridman1:53:23

This is incredible.

这太不可思议了。

Andrew1:53:23

It’s a neat technology.

这是一项巧妙的技术。

Lex Fridman1:53:25

Wow.

哇。

1:53:25 So I saw demos of this, but they don’t come close to the experience of this.

所以我看了这个演示,但它们的体验还差得远。

I think one of the top YouTube comments and one of the demos I saw was like, why would I want a high definition?

我认为 YouTube 上的热门评论之一和我看到的演示之一都是这样的,为什么我想要高清?

I am trying to turn off the camera.

我正在尝试关闭相机。

But this actually, this feels like the camera has been turned off and we’re just in the same room together.

但实际上,感觉就像相机被关闭了,我们只是在同一个房间里。

This is really compelling.

这实在是太引人注目了。

Andrew1:53:44

That’s right.

这是正确的。

1:53:44 I know it’s kind of late in the day too.

我知道今天也有点晚了。

So I brought you a snack just in case you’re a little bit hungry.

所以我给你带了点零食以防万一你有点饿了。

Lex Fridman1:53:50

So can you push it farther and it just becomes-

那么你能不能把它推得更远,它就会变成——

Andrew1:53:52

Yeah.

是的。

1:53:52 Let’s try to float it between rooms.

让我们尝试让它在房间之间浮动。

It kind of fades it from my room into yours.

它有点从我的房间淡入你的房间。

Lex Fridman1:53:56

And then you see my hand.

然后你看到我的手。

1:53:56 The depth of my hand.

我的手的深度。

Andrew1:53:59

Yeah, of course.

是的,当然。

1:53:59 Yes.

是的。

Lex Fridman1:54:00

Wow.

哇。

Andrew1:54:00

Of course, yeah.

当然,是的。

1:54:00 It feels like you…

感觉就像你……

Try this, try give me a high five.

试试这个,试着给我一个高五分。

And there’s almost a sensation of being in touch.

而且几乎有一种接触的感觉。

Lex Fridman1:54:00

Yes.

是的。

Andrew1:54:00

You almost feel.

你几乎感觉到了。

Lex Fridman1:54:05

Yes.

是的。

Andrew1:54:06

Because you’re so attuned to that should be a high five, it feeling like you could connect with somebody that way.

因为你非常习惯那应该是高五,感觉就像你可以通过这种方式与某人联系。

Lex Fridman1:54:06

Yeah.

是的。

Andrew1:54:11

So it’s kind of a magical experience.

所以这是一种神奇的体验。

Lex Fridman1:54:12

Oh, this is really nice.

哦,这真是太好了。

1:54:12 How much does it cost?

它要多少钱?

Andrew1:54:14

Yeah.

是的。

1:54:14 We’ve got a lot of companies testing it.

我们有很多公司正在测试它。

We just announced that we’re going to be bringing it to offices soon as a set of products.

我们刚刚宣布,我们将很快将其作为一套产品带到办公室。

We’ve got some companies helping us build these screens.

我们有一些公司帮助我们建造这些屏幕。

But eventually, I think this will be in almost every screen.

但最终,我认为这将出现在几乎每个屏幕上。

Lex Fridman1:54:26

There’s nothing, I’m not wearing anything.

没什么,我什么都没穿。

1:54:26 Well, I’m wearing a suit and tie to clarify, I am wearing clothes.

好吧,我穿着西装打着领带,澄清一下,我穿着衣服。

This is not CGI.

这不是计算机生成图像。

But outside of that, cool.

但除此之外,很酷。

And the audio is really good.

而且音频真的很好。

And you can see me in the same three-dimensional way.

你也能以同样的三维方式看到我。

Andrew1:54:40

Yeah, the audio is spatialized.

是的,音频是空间化的。

1:54:40 So if I’m talking from here, of course it sounds like I’m talking from here.

所以,如果我从这里说话,当然听起来就像我从这里说话。

If I move to the other side of the room to here.

如果我搬到房间的另一边到这里。

Lex Fridman1:54:41

Wow.

哇。

Andrew1:54:48

So these little subtle cues, these really matter to bring people together, all the non-verbals, all the emotion, the things that are lost today.

因此,这些微妙的小线索,对于将人们聚集在一起,所有的非语言,所有的情感,以及今天失去的东西来说,确实很重要。

1:54:48 Here it is.

这里是。

We put it back into the system.

我们把它放回到系统中。

Lex Fridman1:54:57

You pulled this off.

你成功了。

1:54:57 Holy shit, they pulled it off.

天哪,他们成功了。

And integrated into this, I saw the translation also.

融入其中,我也看到了翻译。

This is the-

这是——

Andrew1:55:05

Yeah, we’ve got a bunch of things.

是的,我们有很多东西。

1:55:05 Let me show you a couple kind of cool things.

让我向您展示一些很酷的东西。

Let’s do a little bit of work together.

让我们一起做一些工作。

Maybe we could critique one of your latest videos.

也许我们可以批评你最新的视频之一。

So you and I work together, so of course we’re in the same room.

所以你和我一起工作,所以我们当然在同一个房间。

But with the super power, I can bring other things in here with me.

但有了超能力,我可以把其他东西带进来。

And it’s nice.

这很好。

It’s like we could sit together, we could watch something.

就像我们可以坐在一起,我们可以看一些东西。

We could work.

我们可以工作。

We’ve shared meals as a team together in this system.

我们在这个系统中作为一个团队一起共享膳食。

But once you do the presence aspect of this, you want to bring some other superpowers to it.

但一旦你做到了存在感方面,你就想给它带来一些其他的超能力。

Lex Fridman1:55:35

Wow.

哇。

1:55:35 And so you could do review code together.

这样你们就可以一起审查代码。

Andrew1:55:38

Yeah, yeah, exactly.

是的,是的,完全正确。

1:55:38 I’ve got some slides I’m working on.

我正在制作一些幻灯片。

Maybe you could help me with this.

也许你可以帮我解决这个问题。

Keep your eyes on me for a second.

请注视我一会儿。

I’ll slide back into the center.

我会滑回中心。

I didn’t really move.

我真的没有动。

But the system just kind of puts us in the right spot and knows where we need to be.

但这个系统只是把我们放在正确的位置,并且知道我们需要去哪里。

Lex Fridman1:55:50

Oh, so you just turned to your laptop, the system moves you, and then it does the overlay automatically.

哦,所以你只要转向你的笔记本电脑,系统就会移动你,然后它会自动进行覆盖。

Andrew1:55:55

It kind of warps the room to put things in the spot that they need to be in.

它有点扭曲房间,把东西放在需要的地方。

Lex Fridman1:55:58

Yeah.

是的。

Andrew1:55:59

Everything has a place in the room, everything has a sense of presence or spatial consistency.

所有东西在房间里都有自己的位置,所有东西都有存在感或空间一致性。

1:55:59 And that makes it feel like we’re together with us and other things.

这让我们感觉我们和我们以及其他事物在一起。

Lex Fridman1:56:06

I should also say, you’re not just three-dimensional, it feels like you’re leaning out of the screen, you’re coming out of the screen.

我还应该说,你不只是三维的,感觉就像你从屏幕里探出来,你从屏幕里出来。

1:56:06 You’re not just in that world three-dimensionaly.

你不只是在那个三维世界中。

Yeah, exactly.

是的,完全正确。

Holy crap.

碉堡了。

Move back to center.

移回中心。

Okay.

好的。

Andrew1:56:23

Let me tell you how this works.

让我告诉你这是如何运作的。

1:56:23 You probably already have the premise of it.

你可能已经有了它的前提。

But there’s two things, two really hard things that we put together.

但有两件事,两件非常困难的事情我们放在一起。

One is a AI video model.

一是AI视频模型。

So there’s a set of cameras, you asked about those earlier.

所以有一组摄像机,你之前问过这些。

There’s six color cameras, just like webcams that we have today, taking video streams and feeding them into our AI model and turning that into a 3D video of you and I.

有六个彩色摄像头,就像我们今天拥有的网络摄像头一样,可以拍摄视频流并将其输入到我们的 AI 模型中,然后将其转换为你和我的 3D 视频。

It’s effectively a light field.

它实际上是一个光场。

So it’s kind of an interactive 3D video that you can see from any perspective.

所以这是一种你可以从任何角度观看的交互式 3D 视频。

That’s transmitted over to the second thing.

这已经转移到第二件事了。

And that’s a light field display.

这就是光场显示器。

And it’s happening bidirectionally.

而且它是双向发生的。

I see you and you see me both in our light field displays.

我在我们的光场显示器中看到了你,你也看到了我。

These are effectively flat televisions or flat displays, but they have the sense of dimensionality, depth, size is correct.

这些实际上是平板电视或平板显示器,但它们具有正确的维度感、深度感、尺寸感。

You can see shadows and lighting are correct.

您可以看到阴影和光照是正确的。

And everything’s correct from your vantage point.

从你的角度来看,一切都是正确的。

1:57:12 So if you move around ever so slightly, and I hold still, you see a different perspective here.

因此,如果你稍微移动一下,而我保持不动,你会在这里看到不同的视角。

You see kind of things that were included become revealed.

你会看到一些包含在内的东西被揭示出来。

You see shadows that move in the way they should move.

您会看到阴影按照其应有的方式移动。

All of that’s computed and generated using our AI video model for you.

所有这些都是使用我们的 AI 视频模型为您计算和生成的。

It’s based on your eye position, where does the right scene need to be placed in this light field display for you just to feel present?

它基于您的眼睛位置,需要将正确的场景放置在该光场显示中的什么位置才能让您感到身临其境?

Lex Fridman1:57:33

It’s real time.

这是实时的。

1:57:33 No latency.

无延迟。

I’m not seeing latency.

我没有看到延迟。

You weren’t freezing up at all.

你根本没有冻僵。

Andrew1:57:37

No, no, I hope not.

不,不,我希望不会。

1:57:37 I think it’s you and I together real time.

我认为这是你和我实时在一起的时刻。

That’s what you need for real communication.

这就是真正沟通所需要的。

And at a quality level it’s realistic.

在质量水平上它是现实的。

Lex Fridman1:57:46

This is awesome.

这太棒了。

1:57:46 Is it possible to do three people?

三个人可以吗?

Is that going to move that way also?

也会朝那个方向发展吗?

Andrew1:57:50

Yeah.

是的。

1:57:50 Let me kind of show you.

让我给你展示一下。

So if she enters the room with us, you can see her, you can see me.

所以如果她和我们一起进入房间,你就可以看到她,也可以看到我。

And if we had more people, you eventually lose a sense of presence.

如果我们有更多的人,你最终会失去存在感。

You kind of shrink people down.

你有点让人们缩小了。

You lose a sense of scale.

你会失去尺度感。

So think of it as the window fits a certain number of people.

因此,可以将其视为窗口适合一定数量的人。

If you want to fit a big group of people, you want the boardroom or the big room, you need a much wider window.

如果你想容纳一大群人,你想要会议室或大房间,你需要一个更宽的窗户。

If you want to see just grandma and the kids, you can do smaller windows.

如果你只想看到奶奶和孩子们,你可以把窗户改小一点。

So everybody has a seat at the table, or everybody has a sense of where they belong, and there’s this sense of presence that’s obeyed.

因此,每个人都在谈判桌上占有一席之地,或者每个人都有自己的归属感,并且有一种被服从的存在感。

If you have too many people, you kind of go back to 2D metaphors that we’re used to people in tiles placed anywhere.

如果你有太多人,你就会回到我们习惯的 2D 隐喻,人们被放置在任何地方的图块中。

Lex Fridman1:58:27

For the image I’m seeing, did you have to get scanned?

对于我看到的图像,您需要扫描吗?

Andrew1:58:29

I mean, I see you without being scanned.

我的意思是,我不用扫描就能看到你。

1:58:29 So it’s just so much easier if you don’t have to wear anything.

因此,如果您不需要穿任何东西,那就容易多了。

You don’t have to pre-scan.

您不必预先扫描。

Lex Fridman1:58:34

Yeah.

是的。

Andrew1:58:34

And you just do it the way it’s supposed to happen without anybody having to learn anything or put anything on.

你只需按照它应该发生的方式去做,不需要任何人学习任何东西或穿上任何东西。

Lex Fridman1:58:39

I thought you had to solve the scanning problem.

我以为你必须解决扫描问题。

1:58:39 But here you don’t.

但在这里你没有。

It’s just cameras.

这只是相机。

Its just vision.

这只是愿景。

Andrew1:58:46

That’s right.

这是正确的。

1:58:46 It’s video.

这是视频。

Yeah, we’re not trying to make an approximation of you, because everything you do every day matters.

是的,我们并不是想对你进行近似,因为你每天所做的一切都很重要。

I cut myself shaving, I put on a pin.

我刮胡子时割伤了自己,然后用别针固定。

All the little kind of aspects of you, those just happen.

你所有的小方面,都会发生。

We don’t have the time to scan or kind of capture those or dress avatars.

我们没有时间扫描或捕捉这些或穿着化身。

We kind of appear as we appear.

我们的出现就像我们出现的那样。

And so all that’s transmitted truthfully as it’s happening.

因此,所有内容都会在发生时如实传输。

Speaker 31:59:10

How you doing?

你好吗?

Lex Fridman1:59:11

Good to meet you.

很高兴认识你。

Speaker 31:59:12

Nice to meet you.

很高兴见到你。

1:59:12 So as Max mentioned, got the eye glasses here.

正如麦克斯提到的,在这里买了眼镜。

We start with the foundation of great glasses, something stylish, lightweight, wearable.

我们从优质眼镜的基础开始,时尚、轻便、可佩戴。

Then we say how can we build great technology and experiences on top of that?

然后我们说如何在此基础上构建出色的技术和体验?

One of the core tenets of the Android XR platform, this idea of a multimodal conversational device.

Android XR 平台的核心原则之一是多模式会话设备的理念。

See what you see, hear what you hear.

看你所见,听你所闻。

So you’ve got a camera, you’ve got speakers, multiple microphones for speaker isolation.

所以你有一个摄像头,你有扬声器,多个用于扬声器隔离的麦克风。

I’ll give you a chance to try these yourself.

我会给你一个机会亲自尝试这些。

Yeah, sorry, I woke it up there.

是的,抱歉,我把它吵醒了。

Lex Fridman1:59:37

Whoa.

哇哦。

Speaker 31:59:39

Yeah.

是的。

1:59:39 So the first thing you see is a super simple, straightforward home screen.

所以你首先看到的是一个超级简单、直接的主屏幕。

Lex Fridman1:59:45

Yes.

是的。

Speaker 31:59:45

So you probably see the time, the weather, calendar, appointments there.

所以你可能会在那里看到时间、天气、日历、约会。

1:59:45 This is designed to be sort of your one-stop shop for quick glanceable information throughout the day.

这旨在成为您全天快速浏览信息的一站式商店。

We want it to do something that’s easy to get what you need, and then go back to what you’re doing.

我们希望它做一些容易获得您需要的事情,然后返回到您正在做的事情。

So you can imagine turning on the display, getting that quick glance, and then continuing on your way.

因此,您可以想象打开显示屏,快速浏览一下,然后继续前进。

You can be fully conversational at this point.

此时您可以充分交谈。

You can ask questions for example about the paintings.

您可以提出一些问题,例如有关绘画的问题。

You can interrupt.

你可以打断。

You can ask follow up questions.

您可以提出后续问题。

And as I mentioned before, if you want to at any time, pause, you just tap there on the right.

正如我之前提到的,如果您想随时暂停,只需点击右侧即可。

Lex Fridman2:00:12

Gemini, how much does this painting cost?

双子座,这幅画多少钱?

Gemini2:00:15

The painting is called the Bridge of Louis-Philippe, 1875 by Armand Guillaumin.

这幅画名为《路易·菲利普桥》,1875 年由阿尔芒·吉约曼 (Armand Guillaumin) 创作。

2:00:15 It appears to be a print.

看来是印刷品。

And it would be impossible to know it’s cost without finding the seller.

如果不找到卖家,就不可能知道它的成本。

Lex Fridman2:00:25

Okay, so this is fake.

好吧,所以这是假的。

2:00:25 I understand.

我明白。

Why do humans pay so much money for paintings?

为什么人类要花这么多钱买画?

Gemini2:00:30

People pay a lot for paintings, because of their artistic merits, the artist’s name and rarity, and for the appreciation you learn.

人们为绘画付出高昂的代价,因为它们的艺术价值、艺术家的名字和稀有性,以及你学到的欣赏能力。

Speaker 32:00:38

So a few more things that we want to show you just for sake of time, you go ahead and long press on the side again to salute Gemini there.

因此,我们想向您展示更多一些东西,只是为了节省时间,您继续并再次长按一侧,向那里的双子座致敬。

2:00:38 There you go.

就这样吧。

Did you catch Google I/O last week by any chance?

您有机会参加上周的 Google I/O 大会吗?

Lex Fridman2:00:48

Yes.

是的。

Speaker 32:00:48

So you might’ve seen on stage the Google Maps experience very briefly.

因此,您可能在舞台上非常简短地看到过 Google 地图体验。

2:00:48 I wanted to give you a chance to get a sense of what that feels like today.

我想让你有机会体验一下今天的感觉。

You can imagine you’re walking down the street.

你可以想象你正走在街上。

If you look up like you’re walking straight ahead, you get quick turn-by-turn directions, so you have a sense of what the next turn is like.

如果您向上看,就像在笔直向前走一样,您会获得快速的逐个转弯指示,因此您可以了解下一个转弯是什么样子。

Lex Fridman2:00:48

Whoa.

哇哦。

Nice.

好的。

Speaker 32:01:05

Keeping your phone in your pocket.

将手机放在口袋里。

Lex Fridman2:01:06

Oh, that’s so intuitive.

哦,这太直观了。

Speaker 32:01:07

Sometimes you need that quick sense of which way’s the right way?

有时您需要快速判断哪条路是正确的?

Lex Fridman2:01:08

Yeah.

是的。

2:01:08 Sometimes.

有时。

Speaker 32:01:14

Yeah.

是的。

2:01:14 So let’s say you’re coming out of Subway, getting out of a cab.

假设您正从地铁里出来,从出租车里出来。

You can just glance down at your feet.

你只需低头看一眼你的脚即可。

We have it set up to translate from Russian to English.

我们已将其设置为从俄语翻译成英语。

I think I get to wear the glasses and you speak to me, if you don’t mind.

我想我可以戴上眼镜,如果你不介意的话,你可以跟我说话。

Lex Fridman2:01:22

I can speak Russian.

我会说俄语。

2:01:22 [foreign language 02:01:27].

[外语02:01:27]。

Speaker 32:01:29

I’m doing well.

我做得很好。

2:01:29 How are you doing?

你好吗?

Lex Fridman2:01:30

I’m tempted to swear, tempted to say inappropriate things.

我很想发誓,很想说一些不恰当的话。

2:01:30 [foreign language 02:01:37].

[外语02:01:37]。

Speaker 32:01:41

I see it transcribed in real time.

我看到它是实时转录的。

2:01:41 And so obviously based on the different languages and the sequence of subjects and verbs, there’s a slight delay sometimes, but it’s really just like subtitles for the real world.

显然,根据不同的语言以及主语和动词的顺序,有时会出现轻微的延迟,但这确实就像现实世界的字幕一样。

Cool.

凉爽的。

Lex Fridman2:01:53

Thank you for this.

谢谢你。

2:01:53 All right, back to me.

好吧,回到我身边。

Hopefully watching videos of me having my mind blown like the apes in 2001 Space Odyssey playing with a monolith was somewhat interesting.

希望观看我像《2001太空漫游》中的猿类玩巨石一样神智恍惚的视频有点有趣。

Like I said, I was very impressed.

就像我说的,我印象非常深刻。

And now I thought, if it’s okay, I could make a few additional comments about the episode and just in general.

现在我想,如果可以的话,我可以对这一集和一般情况发表一些额外的评论。

In this conversation with Sundar Pichai, I discussed the concept of the Neolithic package, which is the set of innovations that came along with the first agricultural revolution about 12,000 years ago, which included the formation of social hierarchies, the early primitive forms of government, labor specialization, domestication of plants and animals, early forms of trade, large scale cooperations of humans like that required to build, yes, the pyramids and temples like Göbekli Tepe.

在与桑达尔·皮查伊的这次谈话中,我讨论了新石器时代一揽子计划的概念,它是伴随着大约 12,000 年前第一次农业革命而来的一系列创新,其中包括社会等级制度的形成、早期原始的政府形式、劳动力专业化、动植物驯化、早期贸易形式、人类的大规模合作,例如建造金字塔和哥贝克力石阵等寺庙所需的合作。

I think this may be the right way to actually talk about the inventions that changed human history, not just as a single invention, but as a kind of network of innovations and transformations that came along with it.

我认为这可能是真正谈论改变人类历史的发明的正确方式,不仅仅是作为一项发明,而是作为一种随之而来的创新和变革网络。

2:03:02 And the productivity multiplier framework that I mentioned in the episode, I think is a nice way to try to concretize the impact of each of these inventions under consideration.

我在本集中提到的生产力乘数框架,我认为是尝试具体化所考虑的每项发明的影响的好方法。

And we have to remember that each node in the network of the fast follow-on inventions is in itself a productivity multiplier.

我们必须记住,快速后续发明网络中的每个节点本身就是生产力倍增器。

Some are additive, some are multiplicative.

有些是加法,有些是乘法。

So in some sense, the size of the network in the package is the thing that matters when you’re trying to rank the impact of inventions on human history.

因此,从某种意义上说,当你试图对发明对人类历史的影响进行排名时,包中网络的大小才是最重要的。

The easy picks for the period of biggest transformation, at least in sort of modern day discourse is the Industrial Revolution, or even in the 20th century, the computer or the internet.

至少在现代话语中,最容易选择的最大变革时期是工业革命,甚至在 20 世纪也是计算机或互联网。

I think it’s because it’s easiest to intuit for modern day humans, the exponential impact of those technologies.

我认为这是因为现代人类最容易凭直觉感受到这些技术的指数级影响。

2:04:05 But recently, I suppose this changes week to week, but I have been doing a lot of reading on ancient human history.

但最近,我想这种情况每周都会发生变化,但我一直在阅读大量有关古代人类历史的书。

So recently my pick for the number one invention would have to be the first agricultural revolution, the Neolithic package that led to the formation of human civilizations.

因此,最近我选出的头号发明必须是第一次农业革命,即导致人类文明形成的新石器时代的一揽子计划。

That’s what enabled the scaling of the collective intelligence machine of humanity, and for us to become the early bootloader for the next 10,000 years of technological progress, which yes, includes AI and the tech that builds on top of AI.

这使得人类集体智能机器得以扩展,并使我们成为未来一万年技术进步的早期引导者,是的,其中包括人工智能和建立在人工智能之上的技术。

And of course it could be argued that the word invention doesn’t properly apply to the agricultural revolution.

当然,有人可能会说发明这个词不适用于农业革命。

I think actually Yuval Noah Harari argues that it wasn’t the humans who were the inventors, but a handful of plant species, namely wheat, rice and potatoes.

我认为实际上尤瓦尔·诺亚·赫拉利(Yuval Noah Harari)认为,发明者不是人类,而是少数植物物种,即小麦、水稻和土豆。

This is strictly a fair perspective.

这绝对是一个公平的观点。

But I’m having fun, like I said, with this discussion.

但正如我所说,我对这次讨论很感兴趣。

Here, I just think of the entire earth as a system that continuously transforms.

在这里,我只是把整个地球看作一个不断变化的系统。

And I’m using the term invention in that context.

我在这种情况下使用了发明这个词。

Asking the question of when was the biggest leap on the log-scale plot of human progress?

问一个问题:人类进步的对数尺度图上最大的飞跃是什么时候?

2:05:23 Will AI, AGI, ASI eventually take the number one spot on this ranking?

AI、AGI、ASI最终会在这个排名中占据第一吗?

I think it has a very good chance to do so due again to the size of the network of inventions that will come along with it.

我认为,由于随之而来的发明网络的规模,它有很好的机会做到这一点。

I think we discuss in this podcast the kind of things that would be included in the so-called AI package.

我认为我们在这个播客中讨论了所谓的人工智能包中将包含的内容。

But I think there’s a lot more possibilities, including discussed in previous podcasts and many previous podcasts, including with Dario Amodei, talking on the biological innovation side, the science progress side.

但我认为还有更多的可能性,包括在之前的播客和许多之前的播客中讨论过,包括与达里奥·阿莫迪(Dario Amodei)谈论生物创新方面、科学进步方面。

And this podcast, I think we talk about something that I’m particularly excited about in the near term, which is unlocking the cognitive capacity of the entire landscape of brains that is the human species.

在这个播客中,我想我们谈论的是近期我特别兴奋的事情,它正在释放人类整个大脑景观的认知能力。

Making it more accessible through education and through machine translation, making information, knowledge and the rapid learning and innovation process accessible to more humans, to the entire 8 billion, if you will.

通过教育和机器翻译,让信息、知识以及快速学习和创新过程变得更容易被更多的人所获取,如果你愿意的话,也可以让整个 80 亿人接触到信息、知识和快速学习和创新过程。

So I do think language or machine translation apply to all the different methods that we use on the internet to discover knowledge is a big unlock.

因此,我确实认为语言或机器翻译适用于我们在互联网上使用的所有不同方法来发现知识,这是一个很大的解锁。

But there are a lot of other stuff in the so-called AI package like discussed with Dario, curing all major human diseases.

但所谓的人工智能包中还有很多其他东西,就像与达里奥讨论的那样,可以治愈所有主要的人类疾病。

He really focuses on that in The Machines of Love and Grace essay.

他在《爱与恩典的机器》一文中真正关注了这一点。

I think there will be huge leaps in productivity for human programmers and semi-autonomous human programmers.

我认为人类程序员和半自主人类程序员的生产力将会有巨大的飞跃。

So humans in the loop, but most of the programming is done by AI agents.

所以人类在循环中,但大部分编程是由人工智能代理完成的。

And then moving that towards a superhuman AI researcher that’s doing the research that develops and programs the AI system in itself.

然后将其转向一位超人人工智能研究人员,该研究人员正在进行人工智能系统本身的开发和编程研究。

I think there’ll be huge transformative effects from autonomous vehicles.

我认为自动驾驶汽车将会产生巨大的变革性影响。

These are the things that we maybe don’t immediately understand, or we understand from an economics perspective, but there will be a point when AI systems are able to interpret, understand, interact with the human world to sufficient degree to where many of the manually controlled human in the loop systems we rely on become fully autonomous.

这些是我们可能无法立即理解的事情,或者我们从经济学角度理解的事情,但总有一天,人工智能系统能够在足够程度上解释、理解人类世界,并与人类世界互动,从而使我们所依赖的许多手动控制的人类循环系统变得完全自主。

2:07:43 And I think mobility is such a big part of human civilization that there will be effects on that, that they’re not just economic, but are social cultural and so on.

我认为流动性是人类文明的重要组成部分,因此会产生影响,这些影响不仅是经济方面的,而且是社会文化方面的。

And there’s a lot more things I could talk about for a long time.

还有很多事情我可以谈论很长时间。

So obviously the integration utilization of AI in the creation of art, film, music, I think the digitalization and automating basic functions of government, and then integrating AI into that process, thereby decreasing corruption and costs and increasing transparency and efficiency.

很明显,人工智能在艺术、电影、音乐创作中的整合利用,我认为政府基本职能的数字化和自动化,然后将人工智能整合到这个过程中,从而减少腐败和成本,提高透明度和效率。

I think we as humans, individual humans, will continue to transition further and further into cyborgs.

我认为我们作为人类,个体人类,将继续越来越深入地转变为机器人。

There’s already a AI in the loop of the human condition, and that will become increasingly so as AI becomes more powerful.

人类环境中已经存在人工智能,并且随着人工智能变得更加强大,这种情况将会变得越来越严重。

The thing I’m obviously really excited about is major breakthroughs in science, and not just on the medical front but on fundamental physics, which would then lead to energy breakthroughs increasing the chance that we become, we actually become a Kardashev Type I civilization.

显然,我真正兴奋的是科学上的重大突破,不仅是在医学方面,而且是在基础物理学方面,这将导致能源突破,增加我们成为卡尔达肖夫 I 型文明的机会。

And then enabling us in so doing to do interstellar exploration of space and colonization of space.

然后使我们能够进行太空星际探索和太空殖民。

I think there also in the near term, much like with the industrial revolution that led to rapid specialization of skills of expertise, there might be a great sort of de-specialization.

我认为,在短期内,就像工业革命导致专业技能的快速专业化一样,可能会出现一种很大的去专业化。

So as the AI system become superhuman experts at particular fields, there might be greater and greater value to being the integrator of AIs for humans to be generalists.

因此,随着人工智能系统成为特定领域的超人专家,成为人工智能的整合者可能对人类成为通才具有越来越大的价值。

And so the great value of the human mind will come from the generalists, not the specialists.

因此,人类思维的巨大价值将来自通才,而不是专家。

That’s a real possibility that that changes the way we are about the world, that we want to know a little bit of a lot of things and move about the world in that way.

这是一种真正的可能性,它改变了我们看待世界的方式,我们想要了解很多事情,并以这种方式在世界上移动。

That could have when passing a certain threshold, a complete shift in who we are as a collective intelligence as a human species.

当超过某个阈值时,作为人类的集体智慧,我们的身份可能会发生彻底的转变。

Also as an aside, when thinking about the invention that was the greatest in human history, again for a bit of fun, we have to remember that all of them build on top of each other.

顺便说一句,当思考人类历史上最伟大的发明时,再次为了一点乐趣,我们必须记住,所有这些发明都是建立在彼此之上的。

2:10:15 And so we need to look at the Delta, the step change on the, I would say impossibly to perfectly measure plot of exponential human progress.

因此,我们需要关注三角洲,即阶跃变化,我认为不可能完美地衡量人类指数进步的图。

Really we can go back to the entire history of life on earth.

我们真的可以回顾地球生命的整个历史。

And a previous podcast guest, Nick Lane does a great job of this in his book Life Ascending, listing these 10 major inventions throughout the evolution of life on earth like DNA, photosynthesis, complex cells, sex, movement, sight, all those kinds of things.

之前的播客嘉宾尼克·莱恩(Nick Lane)在他的书《生命提升》(Life Ascending)中就这方面做了出色的工作,列出了地球生命进化过程中的 10 个主要发明,例如 DNA、光合作用、复杂细胞、性、运动、视觉,所有这些东西。

I forget the full list that’s on there.

我忘记了那里的完整清单。

But I think that’s so far from the human experience that my intuition about, let’s say productivity multipliers of those particular inventions completely breaks down, and a different framework is needed to understand the impact of these inventions of evolution.

但我认为这与我的直觉相去甚远,比如说这些特定发明的生产力乘数完全崩溃了,需要一个不同的框架来理解这些进化发明的影响。

The origin of life on Earth, or even the Big Bang itself of course is the OG invention that set the stage for all the rest of it.

地球上生命的起源,甚至大爆炸本身当然是 OG 的发明,为其余的一切奠定了基础。

And there are probably many more turtles under that which are yet to be discovered.

其下可能还有更多的海龟有待被发现。

2:11:26 So anyway, we live in interesting times, fellow humans.

所以无论如何,人类同胞们,我们生活在一个有趣的时代。

I do believe the set of positive trajectories for humanity outnumber the set of negative trajectories, but not by much.

我确实相信人类的积极轨迹多于消极轨迹,但不多。

So let’s not mess this up.

所以我们不要把这件事搞砸了。

And now let me leave you with some words from French philosopher Jean de La Bruyère, “Out of difficulties, grow miracles.” Thank you for listening, and hope to see you next time.

现在让我用法国哲学家让·德拉布鲁耶尔的一句话来告别大家:“走出困难,创造奇迹。”感谢您的收听,希望下次再见。

文稿来自 Lex Fridman 官网公开发布的官方 Transcript(含说话人与时间戳)。
Sundar Pichai (00:00:00): It was a five-year waiting list, and we got a rotary telephone. But it dramatically changed our lives. People would come to our house to make calls to their loved ones. I would have to go all the way to the hospital to get blood test records and it would take two hours to go and they would say, “Sorry, it’s not ready. Come back the next day.”, two hours to come back. And that became a five-minute thing. So as a kid, this light bulb went in my head, this power of technology to change people’s lives. Sundar Pichai (00:00:32): We had no running water. It was a massive drought, so they would get water in these trucks, maybe eight buckets per household. So me and my brother, sometimes my mom, we would wait in line, get that and bring it back home. Many years later, we had running water and we had a water heater, and you could get hot water to take a shower. For me, everything was discreet like that. Sundar Pichai (00:01:02): So, I’ve always had this thing, first-hand feeling of how technology can dramatically change your life, and the opportunity it brings. I think if p(doom) is actually high, at some point, all of humanity is aligned in making sure that’s not the case, and so we’ll actually make more progress against it, I think. So the irony is there is a self-modulating aspect there. I think if humanity collectively puts their mind to solving a problem, whatever it is, I think we can get there. Sundar Pichai (00:01:38): Because of that, I think I’m optimistic on the p(doom) scenarios, but that doesn’t mean I think the underlying risk is actually pretty high. But I have a lot of faith in humanity rising up to meet that moment. Lex Fridman (00:01:55): Take me through that experience, when there’s all these articles saying, ” You’re the wrong guy to lead Google through this. Google’s lost. It’s done. It’s over.” Lex Fridman (00:02:08): The following is a conversation with Sundar Pichai, the CEO of Google and Alphabet on this, the Lex Fridman podcast. Lex Fridman (00:02:18): Your life story is inspiring to a lot of people. It’s inspiring to me. You grew up in India, whole family living in a humble two-room apartment, very little, almost no access to technology. And from those humble beginnings, you rose to lead a $2 trillion technology company. Lex Fridman (00:02:41): If you could travel back in time and told that, let’s say, twelve-year-old Sundar that you’re now leading one of the largest companies in human history, what do you think that young kid would say? Sundar Pichai (00:02:51): I would’ve probably laughed it off. Probably too far-fetched to imagine or believe at that time. Lex Fridman (00:03:00): You would have to explain the internet first. Sundar Pichai (00:03:02): For sure. Computers to me, at that time, I was 12 in 1984, so probably… By then, I’d started reading about them, but I hadn’t seen one. Lex Fridman (00:03:16): What was that place like? Take me to your childhood. Sundar Pichai (00:03:19): I grew up in Chennai. It’s in south of India. It’s a beautiful, bustling city, lots of people, lots of energy, simple life. Definitely fond memories of playing cricket outside the home. We just used to play on the streets. All the neighborhood kids would come out and we would play until it got dark and we couldn’t play anymore, barefoot. Traffic would come. We would just stop the game. Everything would drive through and you would just continue playing, just to get the visual in your head. Sundar Pichai (00:03:51): Pre computers, there a lot of free time, now that I think about it. Now you have to go and seek that quiet solitude or something. Newspapers, books is how I gained access to the world’s information at the time [inaudible 00:04:06]. Sundar Pichai (00:04:07): My grandfather was a big influence. He worked in the post office. He was so good with language. His English… His handwriting, till today, is the most beautiful handwriting I’ve ever seen. He would write so clearly. He was so articulate, and so he got me introduced into books. He loved politics. We could talk about anything. Sundar Pichai (00:04:33): That was there in my family throughout. Lots of books, trashy books, good books, everything from Ayn Rand to books on philosophy to stupid crime novels. Books was a big part of my life, but the soul, it’s not surprising I ended up at Google, because Google’s mission always resonated deeply with me. This access to knowledge, I was hungry for it. Sundar Pichai (00:04:58): But definitely have fond memories of my childhood. Access to knowledge was there, so that’s the wealth we had. Every aspect of technology I had to wait for a while. I’ve obviously spoken before about how long it took for us to get a phone, about five years, but it’s not the only thing. Lex Fridman (00:05:15): A telephone? Sundar Pichai (00:05:16): There was a five-year waiting list, and we got a rotary telephone. But it dramatically changed our lives. People would come to our house to make calls to their loved ones. I would have to go all the way to the hospital to get blood test records, and it would take two hours to go and they would say, “Sorry, it’s not ready. Come back the next day.”, two hours to come back. And that became a five-minute thing. So as a kid, this light bulb went in my head, this power of technology to change people’s lives. Sundar Pichai (00:05:48): We had no running water. It was a massive drought, so they would get water in these trucks, maybe eight buckets per household. So me and my brother, sometimes my mom, we would wait in line, get that and bring it back home. Many years later, we had running water and we had a water heater, and you could get hot water to take a shower. For me, everything was discreet like that. So, I’ve always had this thing, first-hand feeling of how technology can dramatically change your life, and the opportunity it brings. That was a subliminal takeaway for me throughout growing up. I actually observed it and felt it. Sundar Pichai (00:06:41): We had to convince my dad for a long time to get a VCR. Do you know what a VCR is? Lex Fridman (00:06:48): Yes. Sundar Pichai (00:06:49): I’m trying to date you now. Because before that, you only had one TV channel. That’s it. So, you can watch movies or something like that, but this was by the time I was in 12th grade, we got a VCR. It was a Panasonic, which we had to go to some shop which had smuggled it in, I guess, and that’s where we bought a VCR. But then being able to record a World Cup football game or get bootleg videotapes and watch movies, all that. Sundar Pichai (00:07:26): So I had these discrete memories growing up, and so always left me with the feeling of how getting access to technology drives that step change in your life. Lex Fridman (00:07:38): I don’t think you’ll ever be able to equal the first time you get hot water. Sundar Pichai (00:07:42): To have that convenience of going and opening a tap and have hot water come out? Yeah. Lex Fridman (00:07:47): It’s interesting. We take for granted the progress we’ve made. If you look at human history, just those plots that look at GDP across 2,000 years, and you see that exponential growth to where most of the progress happened since the Industrial Revolution, and we just take for granted, we forget how far we’ve gone. So, our ability to understand how great we have it and also how quickly technology can improve is quite poor. Sundar Pichai (00:08:17): Oh. I mean, it’s extraordinary. I go back to India now, the power of mobile. It’s mind blowing to see the progress through the arc of time. It’s phenomenal. Lex Fridman (00:08:27): What advice would you give to young folks listening to this all over the world, who look up to you and find your story inspiring, who want to be maybe the next Sundar Pichai, who want to start, create companies, build something that has a lot of impact in the world? Sundar Pichai (00:08:45): You have a lot of luck along the way, but you obviously have to make smart choices, you’re thinking about what you want to do, your brain is telling you something. But when you do things, I think it’s important to get that… Listen to your heart and see whether you actually enjoy doing it. That feeling of if you love what you do, it’s so much easier, and you’re going to see the best version of yourself. It’s easier said than done. I think it’s tough to find things you love doing. But I think listening to your heart a bit more than your mind in terms of figuring out what you want to do, I think is one of the best things I would tell people. Sundar Pichai (00:09:26): The second thing is trying to work with people who you feel… At various points in my life I’ve worked with people who I felt were better than me. You almost are sitting in a room talking to someone and they’re wow. you want that feeling a few times. Trying to get yourself in a position where you’re working with people who you feel are stretching your abilities is what helps you grow, I think, so putting yourself in uncomfortable situations. And I think often you’ll surprise yourself. Sundar Pichai (00:10:01): So, I think being open minded enough to put yourself in those positions is maybe another thing I would say. Lex Fridman (00:10:09): What lessons can we learn? Maybe from an outsider perspective, for me, looking at your story and gotten to know you a bit, you’re humble, you’re kind. Usually when I think of somebody who has had a journey like yours and climbs to the very top of leadership in a cutthroat world, they’re usually going to be a bit of an asshole. What wisdom are we supposed to draw from the fact that your general approach is of balance, of humility, of kindness, listening to everybody. What’s your secret? Sundar Pichai (00:10:41): I do get angry. I do get frustrated. I have the same emotions all of us do in the context of work and everything. But a few things: I think I… Over time I figured out the best way to get the most out of people. You find mission-oriented people who are in the shared journey, who have this inner drive to excellence to do the best. You motivate people and you can achieve a lot that way. It often tends to work out that way. Sundar Pichai (00:11:19): But have there been times I lose it? Yeah. Maybe less often than others, and maybe over the years less and less so, because I find it’s not needed to achieve what you need to do. Lex Fridman (00:11:35): So, losing your shit has not been productive? Sundar Pichai (00:11:38): Less often than not. I think people respond to that. Lex Fridman (00:11:40): Yeah. Sundar Pichai (00:11:41): They may do stuff to react to that. You actually want them to do the right thing. I’m a sports fan. In soccer, not football, people often talk about man management. Great coaches do. I think there is an element of that in our lives. How do you get the best out of the people you work with? Sundar Pichai (00:12:08): At times, you’re working with people who are so committed to achieving, if they’ve done something wrong, they feel it more than you do, so you treat them differently than… Occasionally, there are people who you need to clearly let them know that wasn’t okay or whatever it is. But I’ve often found that not to be the case. Lex Fridman (00:12:28): And sometimes the right words at the right time spoken firmly can reverberate through time. Sundar Pichai (00:12:35): Also sometimes, the unspoken words. People can sometimes see that you’re unhappy without you saying it, and so sometimes the silence can deliver that message even more. Lex Fridman (00:12:48): Sometimes less is more. Lex Fridman (00:12:50): Who’s the greatest soccer player of all time? Messi, Ronaldo or Pelé or Maradona? Sundar Pichai (00:12:55): I’m going to make… In this question… Lex Fridman (00:12:58): Is this going to be a political answer, Sundar? Sundar Pichai (00:12:58): I’m not going to lie. I will tell the truthful answer, the truthful answer. Lex Fridman (00:13:03): So it’s Messi, okay. Sundar Pichai (00:13:05): It is. It’s been interesting. Because my son is a big Cristiano Ronaldo fan, and so we’ve had to watch El Clasicos together with that dynamic in there. I so admire CR7s. I mean, I’ve never seen an athlete more committed to that kind of excellence, and so he’s one of the all-time greats. But for me, Messi is it. Lex Fridman (00:13:31): When I see Lionel Messi, you just are in awe that humans are able to achieve that level of greatness and genius and artistry. We’ll talk about AI, maybe robotics and this kind of stuff, that level of genius, I’m not sure you can possibly match by AI in a long time. It’s just an example of greatness. And you have that kind of greatness in other disciplines, but in sport, you get to visually see it, unlike anything else. Just the timing, the movement, there’s just genius. Sundar Pichai (00:14:03): Had the chance to see him a couple of weeks ago. He played in San Jose against the Quakes, so I went to see the game. I had good seats, knew where he would play in the second half hopefully. And even at his age, just watching him when he gets the ball, that movement… You’re right, that special quality. It’s tough to describe, but you feel it when you see it, yeah. Lex Fridman (00:14:27): He’s still got it. If we rank all the technological innovations throughout human history… Let’s go back maybe the history of human civilizations, 12,000 years ago, and you rank them by how much of a productivity multiplier they’ve been. We can go to electricity or the labor mechanization of the Industrial Revolution, or we can go back to the first Agricultural Revolution 12,000 years ago. In that long list of inventions, do you think AI… When history is written 1,000 years from now, do you think it has a chance to be the number one productivity multiplier? Sundar Pichai (00:15:08): It’s a great question. Many years ago, I think it might’ve been 2017 or 2018, I said at the time, AI is the most profound technology humanity will ever work on. It’ll be more profound than fire or electricity. So, I have to back myself. I still think that’s the case. Sundar Pichai (00:15:27): When you ask this question, I was thinking, do we have a recency bias? In sports, it’s very tempting to call the current person you’re seeing the greatest… Lex Fridman (00:15:35): Yes. Sundar Pichai (00:15:36): … player. Is there a recency bias? I do think, from first principles I would argue, AI will be bigger than all of those. I didn’t live through those moments. Two years ago, I had to go through a surgery, and then I processed that. There was a point in time people didn’t have anesthesia when they went through these procedures. At that moment, I was like, that has got to be the greatest invention humanity has ever, ever done. We don’t know what it is to have lived through those times. Sundar Pichai (00:16:12): Many of what you’re talking about were this general things, which pretty much affected everything: electricity or internet, et cetera. But I don’t think we’ve ever dealt with the technology both which is progressing so fast, becoming so capable it’s not clear what the ceiling is, and the main, unique…. It’s recursively self-improving, it’s capable of that. Sundar Pichai (00:16:41): The fact it is the first technology will dramatically accelerate creation itself, like creating things, building new things, can improve and achieve things on its own, I think puts it in a different. So, I think the impact it’ll end up having will far surpass everything we’ve seen before. Obviously, with that comes a lot of important things to think and wrestle with, but I definitely think that’ll end up being the case. Lex Fridman (00:17:15): Especially if it gets to the point of where we can achieve superhuman performance on the AI research itself. So, it’s a technology that may… It’s an open question, but it may be able to achieve a level to where the technology itself can create itself better than it could yesterday. Sundar Pichai (00:17:33): It’s like the move 37 of Alpha research or whatever it is. Lex Fridman (00:17:38): Yeah. Sundar Pichai (00:17:39): You’re right, when it can do novel, self-directed research. Obviously, for a long time we’ll have hopefully always humans in the loop and all that stuff. These are complex questions to talk about. But yes, I think the underlying technology… I’ve said this, if you watched seeing AlphaGo start from scratch, be clueless, and become better through the course of a day, really, it hits you when you see that happen. Sundar Pichai (00:18:13): Even the Veo 3 models, if you sample the models when they were 30% done and 60% done, and looked at what they were generating, and you see how it all comes together, I would say it’s inspiring, a little bit unsettling, as a human. So all of that is true, I think. Lex Fridman (00:18:36): The interesting thing of the Industrial Revolution, electricity, like you mentioned. You can go back to, again, the first Agricultural Revolution, there’s what’s called the Neolithic package of the first Agricultural Revolution. It wasn’t just that the nomads settled down and started planting food, but all this other kinds of technology was born from that, and it’s included this package. So, it wasn’t one piece of technology. Lex Fridman (00:19:05): There’s these ripple effects, second- and third-order effects that happen, everything from something profound like pottery, it can store liquids and food, to something we take for granted: social hierarchies and political hierarchies. Early government was formed. Because it turns out if humans stop moving and have some surplus food, they get bored and they start coming up with interesting systems. And then trade emerges, which turns out to be a really profound thing, and like I said, government. Second- and third-order effects from that, including that package, is incredible and probably extremely difficult. If you ask one of the people in the nomadic tribes to predict that, it would be impossible, and it’s difficult to predict. Lex Fridman (00:19:56): But all that said, what do you think are some of the early things we might see in the, quote, unquote, “AI package”? Sundar Pichai (00:20:07): Most of it probably we don’t know today, but the one thing which we can tangibly start seeing now is… Obviously with the coding progress, you got a sense of it. It’s going to be so easy to imagine… Thoughts in your head, translating that into things that exist. That’ll be part of the package. It’s going to empower almost all of humanity to express themselves. Sundar Pichai (00:20:34): Maybe in the past you could have expressed with words, but you could build things into existence. Maybe not fully today, we are at the early stages of vibe coding. I’ve been amazed at what people have put out online with Veo 3. But it takes a bit of work, you have to stitch together a set of prompts. But all this is going to get better. The thing I always think: this is the worst it’ll ever be, at any given moment in time. Lex Fridman (00:21:02): It’s interesting you went there as a first thought: an exponential increase of access to creativity. Sundar Pichai (00:21:11): Software, creation… Are you creating a program, a piece of content to be shared with others, games down the line? All of that just becomes infinitely more possible. Lex Fridman (00:21:25): I think the big thing is that it makes it accessible. It unlocks the cognitive capabilities of the entire 8 billion. Sundar Pichai (00:21:33): I agree. Think about 40 years ago, maybe in the US there were five people who could do what you were doing. Lex Fridman (00:21:40): Mm-hmm. Sundar Pichai (00:21:41): Go do a interview… But today, think about, with YouTube and other products, et cetera, how many more people are doing it. I think this is what technology does. When the internet created blogs, you heard from so many more people. But with AI, I think that number won’t be in the few hundreds of thousands. It’ll be tens of millions of people, maybe even a billion people putting out things into the world in a deeper way. Lex Fridman (00:22:17): And I think it’ll change the landscape of creativity. And it makes a lot of people nervous. For example, whatever, Fox, MSNBC, CNN are really nervous about this podcast. You mean this dude in a suit could just do this? And YouTube and thousands of others, tens of thousands, millions of other creators can do the same kind of thing? That makes them nervous. And now you get a podcast from Notebook LM that’s about five to 10 times better than any podcast I’ve ever done. Sundar Pichai (00:22:17): Not true, but yeah. Lex Fridman (00:22:47): I’m joking at this time, but maybe not. And that changes. You have to evolve. On the podcasting front, I’m a fan of podcasts much more than I am a fan of being a host or whatever. If there’s great podcasts that are both AIs, I’ll just stop doing this podcast. I’ll listen to that podcast. But you have to evolve and you have to change, and that makes people really nervous, I think. But it’s also really exciting future. Sundar Pichai (00:23:11): The one thing I may say is, I do think in a world in which there are two AI, I think people value and choose… Just like in chess, you and I would never watch Stockfish 10 or whatever and AlphaGo play against each… It would be boring for us to watch. But Magnus Carlsen and Gukesh, that game would be much more fascinating to watch. So, it’s tough to say. Sundar Pichai (00:23:36): One way to say is you’ll have a lot more content, and so you will be listening to AI-generated content because sometimes it’s efficient, et cetera. But the premium experiences you value might be a version of the human essence wherever it comes through. Going back to what we talked earlier about watching Messi dribble the ball, I don’t know, one day I’m sure a machine will dribble much better than Messi. But I don’t know whether it would evoke that same emotion in us, so I think that’ll be fascinating to see. Lex Fridman (00:24:05): I think the element of podcasting or audio books that is about information gathering, that part might be removed, or that might be more efficiently and in a compelling way done by AI. But then it’ll be just nice to hear humans struggle with the information, contend with the information, try to internalize it, combine it with the complexity of our own emotions and consciousness and all that kind of stuff. But if you actually want to find out about a piece of history, you go to Gemini. If you want to see Lex struggle with that history, or other humans, you look at that. Lex Fridman (00:24:47): The point is, it’s going to continue to change the nature of how we discover information, how we consume the information, how we create that information, the same way that YouTube changed everything completely. It changed the news. And that’s something our society’s struggling with. Sundar Pichai (00:25:04): YouTube enabled… You know this better than anyone else. It’s enabled so many creators. There is no doubt in me that we will enable more filmmakers than have ever been. You’re going to empower a lot more people. So I think there is an expansionary aspect of this, which is underestimated, I think. I think it’ll unleash human creativity in a way that hasn’t been seen before. It’s tough to internalize. The only way is if you brought someone from the ’50s or ’40s and just put them in front of YouTube, I think it would blow their mind away. Similarly, I think we would get blown away by what’s possible in a 10- to 20-year timeframe. Lex Fridman (00:25:45): Do you think there’s a future? How many years out is it that, let’s say… Let’s put a marker on it… 50% of good content is generated by Veo 4, 5, 6? Sundar Pichai (00:25:59): I think it depends on what it is for. Maybe if you look at movies today with CGI, there are great filmmakers. You still look at who the directors are and who use it. There are filmmakers who don’t use it at all. You value that. There are people who use it incredibly. Think about somebody like a James Cameron, like what he would do with these tools in his hands. Sundar Pichai (00:26:24): But I think there’ll be a lot more content created. Just like writers today use Google Docs and not think about the fact that they’re using a tool like that, people will be using the future versions of these things. It won’t be a big deal at all to them. Lex Fridman (00:26:40): I’ve gotten a chance to get to know Darren Aronofsky. He’s been really leaning in and trying to figure out… It’s fun to watch a genius who came up before any of this was even remotely possible. He created Pi, one of my favorite movies. And from there, he just continued to create a really interesting variety of movies. And now he’s trying to see how can AI be used to create compelling films. You have people like that. Lex Fridman (00:27:07): You have people I’ve gotten just to know, edgier folks, they are AI firsts, like Dor Brothers. Both Aronofsky and Dor Brothers create at the edge of the Overton window society. They push, whether it’s sexuality or violence. It’s edgy, like artists are, but it’s still classy. It doesn’t cross that line. Whatever that line is. Hunter S. Thompson has this line, “The only way to find out where the edge, where the line is, is by crossing it.” And I think for artists, that’s true. That’s their purpose sometimes. Comedians and artists just cross that line. Lex Fridman (00:27:49): I wonder if you can comment on the weird place that it puts Google. Because Google’s line is probably different than some of these artists. How do you think about, specifically Veo and Flow, how to allow artists to do crazy shit, but also the responsibility for it not to be too crazy? Sundar Pichai (00:28:15): It’s a great question. You mentioned Darren. He’s a clear visionary. Part of the reason we started working with him early on Veo is, he’s one of those people who’s able to see that future, get inspired by it, and showing the way for how creative people can express themselves with it. I think when it comes to allowing artistic free expression… It’s one of the most important values in a society, I think. Artists have always been the ones to push boundaries, expand the frontiers of thought. Sundar Pichai (00:28:56): I think that’s going to be an important value we have, so I think we will provide tools and put it in the hands of artists for them to use and put out their work. Those APIs, I almost think of that as infrastructure. Just like when you provide electricity to people or something, you want them to use it, and you’re not thinking about the use cases on top of it. Lex Fridman (00:29:20): It’s a paintbrush. Sundar Pichai (00:29:20): Yeah. So, I think that’s how. Obviously, there have to be some things. And society needs to decide at a fundamental level what’s okay, what’s not, will be responsible with it. But I do think when it comes to artistic free expression, I think that’s one of those values we should work hard to defend. Lex Fridman (00:29:44): I wonder if you can comment on maybe earlier versions of Gemini were a little bit careful on the kind of things it’d be willing to answer. I just want to comment on I was really surprised, and pleasantly surprised, and enjoy the fact that Gemini 2.5 Pro is a lot less careful, in a good sense. Don’t ask me why, but I’ve been doing a lot of research on Genghis Khan and the Aztecs, so there’s a lot of violence there in that history. It’s a very violent history. I’ve also been doing a lot of research on World War I and World War II. Lex Fridman (00:30:19): Earlier versions of Gemini were very… Basically this sense, are you sure you want to learn about this. And now, it’s actually very factual, objective, talks about very difficult parts of human history, and does so with nuance and depth. It’s been really nice. But there’s a line there that I guess Google has to walk. And it’s also an engineering challenge how to do that at scale across all the weird queries that people ask. Lex Fridman (00:30:49): Can you just speak to that challenge? How do you allow Gemini to say… Again, forgive, pardon my French… crazy shit, but not too crazy? Sundar Pichai (00:31:00): I think one of the good insights here has been as the models are getting more capable, the models are really good at this stuff. And so I think in some ways, maybe a year ago, the models weren’t fully there, so they would also do stupid things more often. So you’re trying to handle those edge cases, but then you make a mistake in how you handle those edge cases and it compounds. But I think with 2.5, what we particularly found is once the models cross a certain level of intelligence and sophistication, they are able to reason through these nuanced issues pretty well. Sundar Pichai (00:31:37): And I think users really want that. You want as much access to the raw model as possible. I think it’s a great area to think about. Over time, we should allow more and more closer access to it. Obviously, let people custom prompts if they wanted to and experiment with it, et cetera. I think that’s an important direction. Sundar Pichai (00:32:04): The first principles we want to think about it is, from a scientific standpoint, making sure the models… And I’m saying scientific in the sense of how you would approach math or physics or something like that. From first principles, having the models reason about the world, be nuanced, et cetera, from the ground up is the right way to build these things, not some subset of humans hard-coding things on top of it. I think it’s the direction we’ve been taking and I think you’ll see us continue to push in that direction. Lex Fridman (00:32:43): I took extensive notes and I gave them to Gemini and said, “Can you ask a novel question that’s not in these notes?”, and it wrote… Gemini continues to really surprise me, really surprise me. It’s been really beautiful. It’s an incredible model. The question it generated was, “You…”, meaning Sundar, “… told the world Gemini is churning out 480 trillion tokens a month. What’s the most life-changing, five-word sentence hiding in that haystack?”. That’s a Gemini question. Lex Fridman (00:33:17): I don’t think you can answer that, but it woke me up to all of these tokens are providing little aha moments for people across the globe. So, that’s like learning. Those tokens are people are curious, they ask a question and they find something out, and it truly could be life-changing. Sundar Pichai (00:33:37): Oh, it is. I had the same feeling about Search many, many years ago. These tokens per month has grown 50 times in the last 12 months. Lex Fridman (00:33:49): Is that accurate, by the way? The 4… Sundar Pichai (00:33:49): Yeah, it is. It is. It is accurate. I’m glad it got it right. But that number was 9.7 trillion tokens per month, 12 months ago. It’s gone up to 480. It’s a 50x… Sundar Pichai (00:34:00): … right, it’s gone up to 480, it’s a 50 X increase. So there’s no limit to human curiosity. And I think it’s one of those moments, I don’t think it is there today, but maybe one day there’s a five word phrase which says what the actual universe is or something like that and something very meaningful, but I don’t think we are quite there yet. Lex Fridman (00:34:25): Do you think the scaling laws are holding strong on, there’s a lot of ways to describe the scaling laws for AI, but on the pre-training, on post-training fronts, so the flip side of that, do you anticipate AI progress will hit a wall? Is there a wall? Sundar Pichai (00:34:42): It’s a cherished micro kitchen conversation, once in a while I have it, like when Demis is visiting or if Demis, Koray, Jeff, Norm, Sergey, a bunch of our people, we sit and talk about this. Look, we see a lot of headroom ahead, I think. We’ve been able to optimize and improve on all fronts, pre-training, post-training, test time compute, tool use, over time, making these more agentic. So getting these models to be more general world models in that direction. Sundar Pichai (00:35:22): Like Veo 3, the physics understanding is dramatically better than what Veo 1 or something like that was. So you kind of see on all those dimensions, I feel progress is very obvious to see and I feel like there is significant headroom. More importantly, I’m fortunate to work with some of the best researchers on the planet, they think there is more headroom to be had here. And so I think we have an exciting trajectory ahead. It’s tougher to say… Each year I sit and say, okay, we are going to throw 10 X more compute over the course of next year at it and will we see progress? Sitting here today, I feel like the year ahead will have a lot of progress. Lex Fridman (00:36:11): And do you feel any limitations like the bottlenecks, compute limited, data limited, idea limited, do you feel any of those limitations or is it full steam ahead on all fronts? Sundar Pichai (00:36:24): I think it’s compute limited in this sense, part of the reason you’ve seen us do Flash, Nano Flash and Pro models, but not an Ultra model, it’s like for each generation we feel like we’ve been able to get the Pro model at, I don’t know, 80, 90% of Ultra’s capability, but Ultra would be a lot more slow and lot more expensive to serve. But what we’ve been able to do is to go to the next generation and make the next generation’s Pro as good as the previous generation’s Ultra, but be able to serve it in a way that it’s fast and you can use it and so on. So I do think scaling laws are working, but it’s tough to get, at any given time, the models we all use the most, this maybe a few months behind the maximum capability we can deliver because that won’t be the fastest, easiest to use, et cetera. Lex Fridman (00:37:26): Also, that’s in terms of intelligence, it becomes harder and harder to measure ” performance” because you could argue Gemini Flash is much more impactful than Pro just because of the latency, it’s super intelligent already. I mean sometimes latency is maybe more important than intelligence, especially when the intelligence is just a little bit less and Flash not, it’s still incredibly smart model. And so you have to now start measuring impact and then it feels like benchmarks are less and less capable of capturing the intelligence of models, the effectiveness of models, the usefulness, the real world usefulness, of models. Lex Fridman (00:38:07): Another kitchen question. So lots of folks are talking about timelines for AGI or ASI, artificial super intelligence. So AGI loosely defined is basically human expert level at a lot of the main fields of pursuit for humans. And then ASI is what AGI becomes, presumably quickly, by being able to self-improve. So becoming far superior in intelligence across all these disciplines than humans. When do you think we’ll have AGI? It’s 2030 a possibility? Sundar Pichai (00:38:41): There’s one other term we should throw in there. I don’t know who used it first, maybe Karpathy did, AJI. Have you heard AJI, the artificial jagged intelligence? Sometimes feels that way, both their progress and you see what they can do and then you can trivially find they make numerical errors or counting R’s in strawberry or something, which seems to trip up most models or whatever it is. So maybe we should throw that term in there. I feel like we are in the AJI phase where dramatic progress, some things don’t work well, but overall you’re seeing lots of progress. Sundar Pichai (00:39:19): But if your question is will it happen by 2030? Look, we constantly move the line of what it means to be AGI. There are moments today like sitting in a Waymo in a San Francisco street with all the crowds and the people and work its way through, I see glimpses of it there. The car is sometimes impatient, trying to work its way using Astra like in Gemini Live or asking questions about the world. Speaker 1 (00:39:49): What’s a skinny building doing in my neighborhood? Speaker 2 (00:39:51): It’s a street light, not a building. Sundar Pichai (00:39:54): You see glimpses, that’s why use the word AJI because then you see stuff which obviously we are far from AGI too, so you have both experiences simultaneously happening to you. I’ll answer your question, but I’ll also throw out this. I almost feel the term doesn’t matter, what I know is by 2030 there’ll be such dramatic progress. We’ll be dealing with the consequences of that progress, both the positive externalities and the negative externalities that come with it in a big way by 2030. So that I strongly feel. Sundar Pichai (00:40:31): Whatever, we may be arguing about the term or maybe Gemini can answer what that moment is in time in 2030, but I think the progress will be dramatic. So that I believe in. Will the AI think it has reached AGI by 2030? I would say we will just fall short of that timeline, so I think it’ll take a bit longer. It’s amazing, in the early days of Google DeepMind in 2010, they talked about a 20-year timeframe to achieve AGI, which is kind of fascinating to see, but for me, the whole thing, seeing what Google Brain did in 2012, and when we acquired DeepMind in 2014, right close to where we are sitting, in 2012, Jeff Dean showed the image of when the neural networks could recognize a picture of a cat and identify it. This is the early versions of Brain. Sundar Pichai (00:41:24): And so we all talked about couple decades. I don’t think we’ll quite get there by 2030, so my sense is it’s slightly after that, but I would stress it doesn’t matter what that definition is because you will have mind-blowing progress on many dimensions. Maybe AI can create videos. We have to figure out as a society, we need some system by which we all agree that this is AI-generated and we have to disclose it in a certain way because how do you distinguish reality otherwise? Lex Fridman (00:41:58): Yeah, there’s so many interesting things you said. So first of all, just looking back at this recent, now feels like distant, history with Google Brain, I mean that was before TensorFlow, before TensorFlow was made public, and open-sourced. So the tooling matters too. Combined with GitHub, ability to share code. Then you have the ideas of a potential transformers and the diffusion now and then there might be a new idea that seems simple in retrospect but will change everything, and that could be the post-training, the inference time innovations. Lex Fridman (00:42:28): And I think shadcn Tweeted that Google is just one great UI from completely winning the AI race, meaning UI is a huge part of it. How that intelligence, I think the [inaudible 00:42:45] Project likes to talk about this right now, it’s an LLM, but when is it going to become a system where you’re talking about shipping systems versus shipping a particular model? Yeah, that matters too, how the system manifests itself and how it presents itself to the world. That really, really matters Sundar Pichai (00:43:02): Oh, hugely so. There are simple UI innovations which have changed the world and I absolutely think so. We will see a lot more progress in the next couple of years as I think AI itself on a self-improving track for UI itself. Today, we are constraining the models, the models can’t quite express themselves in terms of the UI to people. But if you think about it, we’ve kind of boxed them in that way, but given these models can code, they should be able to write the best interfaces to express their ideas over time. Lex Fridman (00:43:46): That is an incredible idea. So the API is already open, so you create a really nice agentic system that continuously improves the way you can be talking to an AI. But a lot of that is the interface. And then of course the incredible multimodal aspect of the interface that Google has been pushing. Sundar Pichai (00:44:08): These models are natively multimodal. They can easily take content from any format, put it in any format, they can write a good user interface, they probably understand your preferences better over time. And so all this is the evolution ahead. And so that goes back to where we started the conversation, I think there’ll be dramatic evolutions in the years ahead. Lex Fridman (00:44:34): Maybe one more kitchen question. This even further ridiculous concept of p(doom). So the philosophically minded folks in the AI community, think about the probability that AGI and then ASI might destroy all of human civilization. I would say my p(doom) is about 10%. Do you ever think about this kind of long-term threat of ASI and what would your p(doom) be? Sundar Pichai (00:45:03): Look, I mean for sure. Look, I’ve both been very excited about AI, but I’ve always felt this is a technology you have to actively think about the risks and work very, very hard to harness it in a way that it all works out well. On the p(doom) question, look, it wouldn’t surprise you to say that’s probably another micro kitchen conversation that pops up once in a while. And given how powerful the technology is maybe stepping back, when you’re running a large organization, if you can align the incentives of the organization, you can achieve pretty much anything. If you can get people all marching towards a goal, in a very focused way, in a mission-driven way, you can pretty much achieve anything. Sundar Pichai (00:45:50): But it’s very tough to organize all of humanity that way. But I think if p(doom) is actually high, at some point, all of humanity is aligned in making sure that’s not the case. And so we’ll actually make more progress against it, I think. So the irony is, so there is a self-modulating aspect there. I think if humanity collectively puts their mind to solving a problem, whatever, it is, I think we can get there. So because of that, I think I’m optimistic on the p(doom) scenarios, I think the underlying risk is actually pretty high, but I have a lot of faith in humanity kind of rising up to meet that moment. Lex Fridman (00:46:39): That’s really, really, well put. I mean, as the threat becomes more concrete and real, humans do really come together and get their shit together. Well, the other thing I think people don’t often talk about is probability of doom without AI. So there’s all these other ways that humans can destroy themselves and it’s very possible, at least I believe so, that AI will help us become smarter, kinder to each other, more efficient. It’ll help more parts of the world flourish where it wouldn’t be less resource constrained, which is often the source of military conflict and tensions and so on. So we also have to load into that, what’s the [inaudible 00:47:22] without AI? p(doom) with AI, p(doom) without AI, because it’s very possible that AI will be the thing that saves us, saves human civilizations from all the other threats. Sundar Pichai (00:47:32): I agree with you. I think it’s insightful. Look, I felt to make progress on some of the toughest problems would be good to have AI, like Pear, helping you, and so that resonates with me for sure. Yeah. Lex Fridman (00:47:48): Quick pause, bathroom break? [inaudible 00:47:51]. Sundar Pichai (00:47:51): Let’s do that. Lex Fridman (00:47:53): If NotebookLM was the same, like what I saw today with Beam, if it was compelling in the same kind of way, blew my mind. It was incredible. I didn’t think it’s possible. I didn’t think it’s [inaudible 00:48:06]. Sundar Pichai (00:48:05): Can you imagine the US president and the Chinese president being able to do something like Beam with the live Meet translation working well, so they’re both sitting and talking, make progress a bit more. Lex Fridman (00:48:20): Just for people listening, we took a quick bathroom break and now we’re talking about the demo I did. We’ll probably post it somewhere somehow maybe here. I got a chance to experience Beam and it’s hard to describe in words how real it felt with just, what is it, six cameras. It’s incredible. It’s incredible. Sundar Pichai (00:48:42): It’s one of the toughest products of, you can’t quite describe it to people. Even when we show it in slides, et cetera, you don’t know what it is. You have to kind of experience it. Lex Fridman (00:48:54): On the world leaders front, on politics, geopolitics, there’s something really special again with studying World War II and how much could have been saved if Chamberlain met Stalin in person. And I sometimes also struggle explaining to people, articulating, why I believe meeting in person for world leaders is powerful. It just seems naive to say that, but there is something there in person and with Beam, I felt that same thing, and then I’m unable to explain, all I kept doing is what a child does. You look real. And I mean, I don’t know if that makes meetings more productive or so on, but it certainly makes them more, the same reason you want to show up to work versus remote sometimes, that human connection. I don’t know what that is, it’s hard to put into words. There’s something beautiful about great teams collaborating on a thing that’s not captured by the productivity of that team or by whatever on paper. Some of the most beautiful moments you experience in life is at work. Pursuing a difficult thing together for many months, there’s nothing like it. Sundar Pichai (00:50:13): You’re in the trenches. And yeah, you do form bonds that way, for sure. Lex Fridman (00:50:17): And to be able to do that somewhat remotely in that same personal touch, I don’t know, that’s a deeply fulfilling thing. I know a lot of people, I personally hate meetings because a significant percent of meetings when done poorly don’t serve a clear purpose. But that’s a meeting problem, that’s not a communication problem. If you could improve the communication for the meetings that are useful, that’s just incredible. So yeah, I was blown away by the great engineering behind it. And then we get to see what impact that has, that’s really interesting, but just incredible engineering. Really impressive. Sundar Pichai (00:50:51): No, it is. And obviously we’ll work hard over the years to make it more and more accessible. But yeah, even on a personal front outside of work meetings, a grandmother who’s far away from her grandchild and being able to have that kind of an interaction, all that I think will end up being very… Nothing substitutes being in person but it’s not always possible. You could be a soldier deployed trying to talk to your loved one. So I think so that’s what inspires us. Lex Fridman (00:51:24): When you and I hung out last year and took a walk, I don’t think we talked about this, but I remember outside of that seeing dozens of articles written by analysts and experts and so on, that Sundar Pichai should step down because the perception was that Google was definitively losing the AI race, has lost its magic touch, in the rapidly evolving technological landscape,. And now a year later, it’s crazy. You showed this plot of all the things that were shipped over the past year. It’s incredible. And Gemini Pro is winning across many benchmarks and products as we sit here today. So take me through that experience when there’s all these articles saying you’re the wrong guy to lead Google through this. Google is lost, is done, it’s over, to today where Google is winning again. What were some low points during that time? Sundar Pichai (00:52:27): Look, lots to unpack. Obviously, the main bet I made as a CEO was to really make sure the company was approaching everything in a AI-first way, really setting ourselves up to develop AGI responsibly, and make sure we are putting out products which embodies that, things that are very, very useful for people. So look, I knew even through moments like that last year, I had a good sense of what we were building internally. So I’d already made many important decisions bringing together teams of the caliber of Brain and DeepMind and setting up Google DeepMind. There were things like we made the decision to invest in TPUs 10 years ago, so we knew we were scaling up and building big models. Sundar Pichai (00:53:33): Anytime you’re in a situation like that, a few aspects. I’m good at tuning out noise, separating signal from noise. Do you scuba dive? Have you…? Lex Fridman (00:53:47): No. Sundar Pichai (00:53:47): It’s amazing. I’m not good at it, but I’ve done it a few times. But sometimes you jump in the ocean, it’s so choppy, but you go down one feet under, it’s the calmest thing in the entire universe. So there’s a version of that. Running Google, you may as well be coaching Barcelona or Real Madrid. You have a bad season. So there are aspects to that. But look, I’m good at tuning out the noise. I do watch out for signals. It’s important to separate the signal from the noise. So there are good people sometimes making good points outside, so you want to listen to it, you want to take that feedback in, but internally, you’re making a set of consequential decisions. Sundar Pichai (00:54:39): As leaders, you’re making a lot of decisions, many of them are inconsequential it feels like, but over time you learn that most of the decisions you’re making on a day-to-day basis doesn’t matter. You have to make them and you’re making them just to keep things moving. But you have to make a few consequential decisions and we had set up the right teams, right leaders, we had world-class researchers, we were training Gemini. Sundar Pichai (00:55:15): Internally, there are factors which were, for example, outside people may not have appreciated. I mean TPUs are amazing, but we had to ramp up TPUs too. That took time to scale actually having enough TPUs to get the compute needed. But I could see internally the trajectory we were on and I was so excited internally about the possible, to me this moment felt like one of the biggest opportunities ahead for us as a company that the opportunity space ahead or the next decade, next 20 years, is bigger than what has happened in the past. And I thought we were set up better than most companies in the world to go realize that vision. Lex Fridman (00:56:04): I mean, you had to make some consequential, bold decisions like you mentioned the merger of DeepMind and Brain. Maybe it’s my perspective, just knowing humans, I’m sure there’s a lot of egos involved, it’s very difficult to merge teams, and I’m sure there were some hard decisions to be made. Can you take me through your process of how you think through that? Do you go to pull the trigger and make that decision? Maybe what were some painful points? How do you navigate those turbulent waters? Sundar Pichai (00:56:36): Look, we were fortunate to have two world-class teams, but you’re right, it’s like somebody coming and telling to you, take Stanford and MIT and then put them together and create a great department, easier said than done. But we were fortunate in phenomenal teams, both had their strengths, they were run very differently. Brain was kind of a lot of diverse projects, bottoms up and out of it came a lot of important research breakthroughs. DeepMind at the time had a strong vision of how you want to build AGI, and so they were pursuing their direction. But I think through those moments, luckily tapping into, Jeff had expressed a desire to go back to more of a scientific individual contributor roots. He felt like management was taking up too much of his time. And Demis naturally I think was running DeepMind and was a natural choice there. Sundar Pichai (00:57:41): But I think, you are right, it took us a while to bring the teams together, credit to Demis, Jeff, Koray, all the great people there. They worked super hard to combine the best of both worlds when you set up that team. A few sleepless nights here and there, as we put that thing together. We were patient in how we did it so that it works well for the long term and some of that in that moment. I think, yes, with things moving fast, I think you definitely felt the pressure, but I think we pulled off that transition well, and I think they’re obviously doing incredible work and there’s a lot more incredible things ahead coming from them. Lex Fridman (00:58:26): Like we talked about, you have a very calm, even-tempered, respectful demeanor, during that time, whether it’s the merger or just dealing with the noise, were there times where frustration boiled over? Did you have to go a bit more intense on everybody than you usually would? Sundar Pichai (00:58:48): Probably. You’re right. I think in the sense that there was a moment where we were all driving hard, but when you’re in the trenches working with passion, you’re going to have days, you disagree, you argue. But all that, I mean just part of the course of working intensely. And at the end of the day, all of us are doing what we are doing because the impact it can have, we are motivated by it. Sundar Pichai (00:59:21): For many of us, this has been a long-term journey, and so it’s been super exciting. The positive moments far outweigh the kind of stressful moments. Just early this year, I had a chance to celebrate back-to-back over two days Nobel Prize for Geoff Hinton and the next day a Nobel Prize for Demis and John Jumper. You worked with people like that, all that is super inspiring. Lex Fridman (00:59:48): Is there something like with you where you had to put your foot down maybe with less versus more or, I’m the CEO and we’re doing this? Sundar Pichai (01:00:01): To my earlier point about consequential decisions you make, there are decisions you make, people can disagree pretty vehemently, but at some point you make a clear decision and you just ask people to commit. You can disagree, but it’s time to disagree and commit so that we can get moving. And whether it’s putting the foot down, it’s a natural part of what all of us have to do. And I think you can do that calmly and be very firm in the direction you are making the decision, and I think if you’re clear actually people over time respect that, if you can make decisions with clarity. Sundar Pichai (01:00:43): I find it very effective in meetings where you’re making such decisions to hear everyone out. I think it’s important, when you can, to hear everyone out. Sometimes what you’re hearing actually influences how you think about, and you’re wrestling with it and making a decision. Sometimes you have a clear conviction and you state, so look, this is how I feel and this is my conviction, and you kind of place the bet and you move on. Lex Fridman (01:01:13): Are there big decisions like that? I kind of intuitively assume the merger was the big one? Sundar Pichai (01:01:19): I think that was a very important decision for the company to meet the moment. I think we had to make sure we were doing that and doing that well. I think that was a consequential decision. There were many other things. We set up a AI infrastructure team to really go meet the moment to scale up the compute we needed to and really brought teams from disparate parts of the company, created it to move forward. Sundar Pichai (01:01:51): Getting people to work together physically, both in London with DeepMind at what we call Gradient Canopy, which is where the Mountain View Google DeepMind teams are. But one of my favorite moments is I routinely walk multiple times per week to the Gradient Canopy building where our top researchers are working on the models, Sergey is often there amongst them, just looking at getting an update on the model, seeing the loss curves, so all that. I think that cultural part of getting the teams together back with that energy, I think ended up playing a big role too. Lex Fridman (01:02:32): What about the decision to recently add AI mode? So Google Search is, as they say, the front page of the internet, it’s like a legendary minimalist thing with 10 blue links. When people think internet, they think that page and now you’re starting to mess with that. So the AI mode, which is a separate tab, and then integrating AI in the results, I’m sure there were some battles in meetings on that one. Sundar Pichai (01:03:02): Look, in some ways when mobile came, people wanted answers to more questions, so we are kind of constantly evolving it, but you’re right, this moment, that evolution because the underlying technology is becoming much more capable. You can have AI give a lot of context, but one of our important design goals though, is when you come to Google Search, you are going to get a lot of context, but you’re going to go and find a lot of things out on the web. So that will be true in AI mode, in AI overviews, and so on. Sundar Pichai (01:03:39): Pertaining to our earlier conversation, we’re still giving you access to links, but think of the AI as a layer, which is giving you context, summary, maybe in AI mode, you can have a dialogue with it back and forth on your journey, but through it all, you’re kind of learning what’s out there in the world. So those core principles don’t change. But I think AI mode allows us to push the… We have our best models there, models that are using search as a deep tool, really for every query you’re asking, kind of fanning out doing multiple searches, kind of assembling that knowledge in a way so that you can go and consume what you want to, and that’s how we think about it. Lex Fridman (01:04:25): I got a chance to listen to a bunch of Elizabeth, Liz Reid, describe, there’s two things stood out to me that you mentioned. One thing is what you were talking about is the query fan-out, which I didn’t even think about before, is the powerful aspect of integrating a bunch of stuff on the web for you in one place, so that, yes, it provides that context so that you can decide which page to then go onto. The other really, really big thing speaks to the earlier in terms of productivity multiply that we’re talking about, that she mentioned, was language. Lex Fridman (01:05:01): So one of the things you don’t quite understand is through AI mode for non-English speakers, you make, let’s say, English language websites accessible in the reasoning process as you’ve tried to figure out what you’re looking for. Of course once you show up to a page, you can use a basic translate, but that process of figuring it out, if you empathize with a large part of the world that doesn’t speak English, their web is much smaller in that original language. And so it, again, unlocks that huge cognitive capacity there. You take for granted here with all the bloggers and the journalists writing about AI mode, you forget that this now unlocks because Gemini is really good at translation. Sundar Pichai (01:05:54): Oh it is. I mean the multimodality, the translation, it’s ability to reason, we’re dramatically improving tool use, and putting that power in the flow of Search, look, I’m super excited with AI overviews. We’ve seen the product has gotten much better, we measured using all kinds of user metrics. It’s obviously driven strong growth of the product, and we’ve been testing AI mode. It’s now in the hands of millions of people and the early metrics are very encouraging. So look, I’m excited about this next chapter of Search. Lex Fridman (01:06:36): For people who are not thinking through or aware of this, so there’s the 10 blue links with the AI overview on top, that provides a nice summarization, you can expand it. Sundar Pichai (01:06:45): And you have sources and links now embedded. Lex Fridman (01:06:49): Yeah, I believe, at least Liz said so, I actually didn’t notice it, but there’s ads in the AI overview also. I don’t think there’s ads in AI mode. When ads in AI mode, Sundar? When do you think…? Okay, we should say that in the nineties, I remember the animated GIFs, banner GIFs, that take you to some shady websites that have nothing to do with anything. AdSense revolutionized advertisement. It’s one of the greatest inventions in recent history because it allows us, for free, to have access to all these kinds of services. So ads fuel a lot of really powerful services. And at its best it’s showing you relevant ads, but also very importantly in a way that’s not super annoying, in a classy way. So when do you think it’s possible to add ads into AI mode and what does that look like from a classy, non-annoying perspective? Sundar Pichai (01:07:52): Two things. Early part of AI mode, we’ll obviously focus more on the organic experience to make sure we are getting it right. I think the fundamental value of ads are- Sundar Pichai (01:08:00): I think the fundamental value of ads are it enables access to deploy the services to billions of people. Second is ads are the reason we’ve always taken ads seriously is we view ads as commercial information, but it’s still information. So we bring the same quality metrics to it. I think with AI mode, to our earlier conversation about… I think AI itself will help us, over time, figure out the best way to do it. I think given we are giving context around everything, I think it’ll give us more opportunities to also explain, “Okay, here’s some commercial information.” Like today as a podcaster, you do it at certain spots, and you probably figure out what’s best in your podcast. I think so, there are aspects of that, but I think the underlying need of people value commercial information, businesses are trying to connect to users. Sundar Pichai (01:08:58): All that doesn’t change in an AI moment, but look, we will rethink it. You’ve seen us in YouTube now do a mixture of subscription and ads. Like, obviously, we are now introducing subscription offerings across everything. So as part of that, the optimization point will end up being a different place as well. Lex Fridman (01:09:23): Do you see a trajectory in the possible future where AI mode completely replaces the 10 blue links plus AI overview? Sundar Pichai (01:09:32): Our current plan is AI mode is going to be there as a separate tab for people who really want to experience that, but it’s not yet at the level there, our main search pages. But as features work will keep migrating it to the main page, and so you can view it as a continuum. AI mode will offer you the bleeding edge experience, but things that work will keep overflowing to AI overviews and the main experience. Lex Fridman (01:10:02): And the idea that AI mode will still take you to the web to human created web? Sundar Pichai (01:10:06): Yes, that’s going to be a core design principle for us. Lex Fridman (01:10:08): So really, if users decide, right? They drive this. Sundar Pichai (01:10:11): Yeah. Lex Fridman (01:10:13): It’s just exciting. A little bit scary that it might change the internet because Google has been dominating with a very specific look and idea of what it means to have the internet. As you move to AI mode, I mean, it’s just a different experience. I think Liz was talking about it. I think you’ve mentioned that you ask more questions. You ask longer questions. Sundar Pichai (01:10:41): Dramatically different types of questions. Lex Fridman (01:10:43): Yeah, it actually fuels curiosity. I think, for me, I’ve been asking just a much larger number of questions of this black box machine, let’s say, whatever it is, and with the AI overview, it’s interesting because I still value the human… I still ultimately want to end up on the human created web, but like you said, the context really helps. Sundar Pichai (01:11:09): It helps us deliver higher-quality referrals, right? Where people, they have much higher likelihood of finding what they’re looking for. They’re exploring. They’re curious. Their intent is getting satisfied more. So that’s what all our metrics show. Lex Fridman (01:11:25): It makes the humans that create the web nervous. The journalists are getting nervous. They’ve already been nervous. Like we mentioned, CNN is nervous because the podcasts… It makes people nervous. Sundar Pichai (01:11:37): Look, I think news and journalism will play an important role in the future. We are pretty committed to it, right? So I think making sure that ecosystem, in fact, I think we’ll be able to differentiate ourselves as a company over time because of our commitment there. So it’s something, I think, I definitely value a lot, and as we are designing, we’ll continue prioritizing approaches. Lex Fridman (01:12:05): I’m sure for the people who want, they can have a fine-tuned AI model that’s clickbait hit pieces that will replace current journalism. That’s a shot of journalism. Forgive me. But I find that if you’re looking for really strong criticism of things, that Gemini is very good at providing that. Sundar Pichai (01:12:23): Oh, absolutely. I. Lex Fridman (01:12:24): T’s better than anything they… For now, I mean. People are concerned that there would be bias that’s introduced that as the AI systems become more and more powerful, there’s incentive from sponsors to roll in and try to control the output of the AI models. But for now, the objective criticism that’s provided is way better than journalism. Lex Fridman (01:12:46): Of course, the argument is the journalists are still valuable, but then, I don’t know, the crowdsourced journalism that we get on the open internet is also very, very powerful. Sundar Pichai (01:12:56): I feel like they’re all super important things. I think it’s good that you get a lot of crowdsourced information coming in, but I feel like there is real value for high-quality journalism, right? I think these are all complimentary, I think. Like, I view it as I find myself constantly seeking out, also, like, try to find objective reporting on things too. Sometimes you get more context from the crowd-funded sources you read online, but I think both end up playing a super important role. Lex Fridman (01:13:32): So you’ve spoken a little about this. Dennis talked about this, it’s sort of the slice of the web that will increasingly become about providing information for agents. So we can think about as two layers of the web. One is for humans, one is for agents. Do you see the AI agents? Do you see the one that’s for AI agents growing over time? Do you there still being long-term 5, 10 years value for the human created for the purpose of human consumption web, or will it all be agents in the end? Sundar Pichai (01:14:09): Today, not everyone does, but you go to a big retail store, you love walking the aisle, you love shopping or grocery store, picking out food, et cetera, but you’re also online shopping, and they’re delivering, right? So both are complementary, and that’s true for restaurants, et cetera. So I do feel like, over time, websites will also get better for humans. They will be better design. AI might actually design them better for humans. Sundar Pichai (01:14:41): So I expect the web to get a lot richer, and more interesting, and better to use. At the same time, I think there’ll be an agentic web, which is also making a lot of progress, and you have to solve the business value and the incentives to make that work well, right? For people to participate in it. Sundar Pichai (01:15:05): But I think both will coexist, and obviously, the agents may not need the same… Not may not. They won’t need the same design and the UI paradigms which humans need to interact with. But I think both will be there. Lex Fridman (01:15:23): I have to ask you about Chrome. I have to say, for me personally, Google Chrome is probably, I don’t know, I’d like to see where I would rank it, but in this temptation, and this is not a recency bias, although it might be a little bit, but I think it’s up there, top three, maybe the number one piece of software for me of all time. It’s incredible. It’s really incredible. Lex Fridman (01:15:46): The browser is our window to the web, and Chrome really continues for many years. But even initially, to push the innovation on that front when it was stale, and it continues to challenge. It continues to make it more performant, so efficient, and just innovate constantly, and the Chromium aspect of it. Lex Fridman (01:16:07): Anyway, you were one of the pioneers of Chrome pushing for it when it was an insane idea, probably one of the ideas that was criticized, and doubted, and so on. So can you tell me the story of what it took to push for Chrome? What was your vision? Sundar Pichai (01:16:29): Look, it was such a dynamic time around 2004, 2005 with AJAX, the web suddenly becoming dynamic. In a matter of few months, Flickr, Gmail, Google Maps, all kind of came into existence, right? Like, the fact that you have an interactive dynamic web. The web was evolving from simple text pages, simple HTML to rich dynamic applications, but at the same time, you could see the browser was never meant for that world, right? Like, JavaScript execution was super slow. Sundar Pichai (01:17:12): The browser was far away from being an operating system for that rich modern web which was coming into place. So that’s the opportunity we saw. It’s an amazing early team. I still remember the day we got a shell on WebKit running and how fast it was. We had the clear vision for building a browser. We wanted to bring Core OS principles into the browser, right? Sundar Pichai (01:17:44): So we built a secure browser, sandbox. Each tab was its own. These things are common now, but at the time, it was pretty unique. We found an amazing team in Aarhus, Denmark with a leader who built the JavaScript VM, which at the time, was 25 times faster than any other JavaScript VM out there. By the way, you are right. We open-sourced it all and put it in Chromium too, but we really thought the web could work much better, much faster, and you could be much safer browsing the web, and the name Chrome came because literally felt people were… Or the Chrome of the browser was getting clunkier. Sundar Pichai (01:18:32): We wanted to minimize it. So that was the origins of the project. Definitely, obviously, highly-biased person here talking about Chrome, but it’s the most fun I’ve had building a product from the ground up, and it was an extraordinary team. My co-founders on the project were terrific, so definite fond memories. Lex Fridman (01:18:56): So for people who don’t know, Sundar, it’s probably fair to say, you’re the reason we have Chrome. Yes, I know there’s a lot of incredible engineers, but pushing for it inside a company that probably was opposing it because it’s a crazy idea, because as everybody probably knows, it’s incredibly difficult to build a browser. Sundar Pichai (01:19:13): Yeah, look, Eric was the CEO at the time. I think it was less that he was supposed to it. He kind of first-hand knew what a crazy thing it is to go build a browser, and so he definitely was like, “This is…” There was a crazy aspect to actually wanting to go build a browser, but he was very supportive. Everyone… The founders were. Sundar Pichai (01:19:36): I think once we started building something, and we could use it. And see how much better, from then on, you’re really tinkering with the product and making it better. It came to life pretty fast. Lex Fridman (01:19:48): What wisdom do you draw from that? From pushing through on a crazy idea in the early days that ends up being revolutionary, for future crazy ideas like it? Sundar Pichai (01:20:00): I mean, this is something Larry and Sergey have articulated clearly. I really internalized this early on, which is their whole feeling around working on moonshots as a way. When you work on something very ambitious, first of all, it attracts the best people, right? So that’s an advantage you get. Number two, because it’s so ambitious, you don’t have others working on something crazy. So you pretty much have the path to yourselves, right? It’s like Waymo and self-driving. Number three, even if you end up quite not accomplishing what you set out to do and you end up doing 60, 80% of it, it’ll end up being a terrific success. So that’s the advice I would give people, right? I think it’s just aiming for big ideas, has all these advantages, and it’s risky, but it also has all these advantages which people I don’t think fully internalize. Lex Fridman (01:20:57): I mean, you mentioned one of the craziest biggest moonshots, which is Waymo. It’s when I first saw, over a decade ago, a Waymo vehicle, a Google self-driving car vehicle. For me, it was an aha moment for robotics. It made me fall in love with robotics even more than before. It gave me a glimpse into the future. So it’s incredible. I’m truly grateful for that project, for what it symbolizes, but it’s also a crazy moonshot. Lex Fridman (01:21:28): For a long time, Waymo’s been, like you mentioned with scuba diving, just not listening to anybody, just calmly improving the system better, and better, more testing, just expanding the operational domain more and more. First of all, congrats on the 10 million paid Robotaxi rides. What lessons do you take from Waymo about, like, the perseverance, the persistence on that project? Sundar Pichai (01:21:57): Really proud of the progress we have had with Waymo. One of the things I think we were very committed to, the final 20% can look like… I mean, we always say, right? The first 80% is easy, the final 20% takes 80% of the time. I think we definitely were working through that phase with Waymo, but I was aware of that, but we knew we were at that stage. Sundar Pichai (01:22:21): We knew while there were many other self-driving companies, we knew the technology gap was there. In fact, right at the moment, when others were doubting Waymo is when, I don’t know, made the decision to invest more in Waymo, right? Because so in some ways it’s counterintuitive, but I think, look, we’ve always been a deep technology company, and waymo is a version of kind of building a AI robot that works well, and so we get attracted to problems like that. The caliber of the teams there, phenomenal teams. Sundar Pichai (01:23:03): So I know you followed the space super closely. I’m talking to someone who knows the space well, but it was very obvious, it’s going to get there, and there’s still more work to do, but it’s a good example where we always prioritized being ambitious and safety at the same time, right? Equally committed to both and pushed hard and couldn’t be more thrilled with how it’s working, how much people love the experience. This year, definitely, we’ve scaled up a lot, and we’ll continue scaling up in ’26. Lex Fridman (01:23:42): That said, the competition is heating up. You’ve been friendly with Elon even though, technically, he’s a competitor, but you’ve been friendly with a lot of tech CEOs, in that way, just showing respect towards them and so on. What do you think about the Robotaxi efforts that Tesla is doing? Do you see it as competition? What do you think? Do you like the competition? Sundar Pichai (01:24:02): We are one of the earliest and biggest backers of SpaceX as Google, right? So thrilled with what SpaceX is doing and fortunate to be investors as a company there, right? We don’t compete with Tesla directly. We are not making cars, et cetera, right? We are building L4, 5 autonomy. We are building a Waymo driver, which is general purpose and can be used in many settings. Sundar Pichai (01:24:32): They’re obviously working on making Tesla self-driving too. I’ve just assumed it’s a de facto that Elon would succeed in whatever it does. So that is not something I question, but I think we are so far from… These spaces are such vast spaces. Like, I think about transportation, the opportunity space, the Waymo driver is a general purpose technology we can apply in many situations. So you have a vast green space in all future scenarios, I see Tesla doing well and Waymo doing well. Lex Fridman (01:25:13): Like we mentioned with the Neolithic package, I think it’s very possible that in the “AI package” when the history is written, autonomous vehicles, self-driving cars is like the big thing that changes everything. Imagine, over a period of a decade or two, just the complete transition from manually-driven to autonomous, in ways we might not predict, it might change the way we move about the world completely. Lex Fridman (01:25:41): So the possibility of that and then the second and third order effects, as you’re seeing now with Tesla, very possibly, would see some… Internally, with Alphabet, maybe Waymo, maybe some of the Gemini robotics stuff, it might lead you into the other domains of robotics because we should remember that Waymo is a robot. Sundar Pichai (01:26:04): Mm-hmm. Lex Fridman (01:26:05): It just happens to be on four wheels. So you said that the next big thing, we can also throw that into AI package. The big aha moment might be in the space of robotics. What do you think that would look like? Sundar Pichai (01:26:20): Demis and the Google DeepMind team is very focused on Gemini robotics, right? Lex Fridman (01:26:20): Yeah. Sundar Pichai (01:26:23): So we are definitely building the underlying model as well. So we have a lot of investments there, and I think we are also pretty cutting-edge in our research there. So we are definitely driving that direction. We obviously are thinking about applications in robotics. We’ll kind of work CSD. We are partnering with a few companies today, but it’s an area I would say stay tuned. Sundar Pichai (01:26:48): We are yet to fully articulate our plans outside, but it’s an area we are definitely committed to driving a lot of progress. But I think AI ends up driving that massive progress on robotics. The field has been held back for a while. I mean, hardware has made extraordinary progress. The software had been the challenge, but with AI now and the generalized models we are building, we are building these models, getting them to work in the real world in a safe way, in a generalized way is the frontier we are pushing pretty hard on. Lex Fridman (01:27:25): Well, it’s really nice to see the models and the different teams integrated to where all of them are pushing towards one world model that’s being built. So from all these different angles, multimodal, you’re ultimately trying to get Gemini. So the same thing that would make AI mode really effective in answering your questions, which requires a kind of world model is the same kind of thing that would help a robot be useful in the physical world. So everything’s aligned. Sundar Pichai (01:27:54): That is what makes this moment so unique because running, a company for the first time, you can do one investment in a very deep horizontal way. On top of it, you can drive multiple businesses forward, right? That’s effectively what we are doing in Google and Alphabet, right? Lex Fridman (01:28:14): Yeah, it’s all coming together. Like, it was planned ahead of time, but it’s not, of course. It’s all distributed. I mean, if Gmail, and Sheets, and all these other incredible services, I can sing Gmail praises for years. I mean, just this revolutionized email. Lex Fridman (01:28:28): But the moment you start to integrate AI Gemini into Gmail, I mean that’s the other thing, speaking of productivity multiplier, people complain about email, but that changed everything. Email, like the invention of email changed everything, and it has been ripe. There’s been a few folks trying to revolutionize email. Some of them on top of Gmail, but that’s like ripe for innovation, not just spam filtering, but you demoed a really nice demo of- Sundar Pichai (01:28:55): Personalized responses, right? Lex Fridman (01:28:56): Personalized responses. At first, I felt really bad about that, but then I realized that there’s nothing wrong to feel bad about because the example you gave is when a friend asks you went to whatever hiking location, “Do you have any advice?” It just searches through all your information to give them good advice, and then you put the cherry on top, maybe some love, or whatever camaraderie, but the informational aspect, the knowledge transfer, it does for you. Sundar Pichai (01:29:28): I think there’ll be important moments. Like, today, if you write a card in your own handwriting and send it to someone, that’s a special thing. Similarly, there’ll be a time, I mean, to your friends, maybe your friend wrote and said he’s not doing well or something, those are moments you want to save your times for writing something, reaching out. But like saying, “Give me all the details of the trip you took to me makes a lot of sense for AI assistant to help you.” Right? Sundar Pichai (01:29:59): So I think both are important, but I think I’m excited about that direction. Lex Fridman (01:30:04): Yeah, I think, ultimately, it gives more time for us humans to do the things we humans find meaningful. I think it scares a lot of people because we’re going to have to ask ourselves the hard question of what do we find meaningful? I’m sure there’s answers, and it’s the old question of the meaning of existence. As you have to try to figure that out, that might be ultimately parenting, or being creative in some domains of art or writing, and it challenges to… Lex Fridman (01:30:32): It’s a good question of to ask yourself like, “In my life, what is the thing that brings me most joy and fulfillment?” If I’m able to actually focus more time on that, that’s really powerful. Sundar Pichai (01:30:45): I think that’s the holy grail. If you get this right, I think it allows more people to find that. Lex Fridman (01:30:52): I have to ask you, on the programming front, AI is getting really good at programming. Gemini, both the agentic and just the LLM has been incredible, so a lot of programmers are really worried that they will lose their jobs. How worried should they be, and how should they adjust so they can be thriving in this new world, or more and more code is written by AI? Sundar Pichai (01:31:16): I think a few things. Looking at Google, we’ve given various stats around 30% of code now uses AI- generated suggestions or whatever it is. But the most important metric, and we carefully measure it is, like, how much has our engineering velocity increased as a company due to AI, right? It’s tough measure, and we rigorously try to measure it, and our estimates are that number is now at 10%, right? Sundar Pichai (01:31:51): Like, now, across the company, we’ve accomplished a 10% engineering velocity increase using AI, but we plan to hire more engineers next year, right? Because the opportunity space of what we can do is expanding too, right? Lex Fridman (01:32:14): Mm-hmm. Sundar Pichai (01:32:15): So I think, hopefully, at least in the near to midterm, for many engineers, it frees up more and more of the… Even in engineering and coding, there are aspects which are so much fun. You’re designing. You’re architecting. You’re solving a problem. There’s a lot of grant work, which all goes hand in hand, but hopefully, it takes a lot of that away, makes it even more fun to code ,frees you up more time to create, problem, solve, brainstorm with your fellow colleagues and so on, right? So that’s the opportunity there. Sundar Pichai (01:32:56): Second, I think it’ll attract, it’ll put the creative power in more people’s hands, which means people will create more. That means there’ll be more engineers doing more things. So it’s tough to fully predict, but I think in general, in this moment, it feels like people adopt these tools and be better programmers. Like, there are more people playing chess now than ever before, right? So it feels positive that way, to me, at least, speaking from within a Google context, is how I would talk to them about it. Lex Fridman (01:33:36): Still. I just know anecdotally, a lot of great programmers are generating a lot of code, so their productivity, they’re not always using all the code. There’s still a lot of editing, but even for me, still programming as a side thing, I think I’m like 5x more productive. I think even for a large code base that’s touching a lot of users like Google’s does, I’m imagining, very soon, that productivity should be going up even more. Sundar Pichai (01:34:08): No. The big unlock will be as we make the agentic capabilities much more robust, right? I think that’s what unlocks that next big wave. I think the 10% is a massive number. Like, if tomorrow, I showed up and said, “You can improve a large organization’s productivity by 10%,” when you have tens of thousands of engineers, that’s a phenomenal number, and that’s different than what other site or statistic saying like, “This percentage of code is now written by AI.” Sundar Pichai (01:34:41): I’m talking more about, like, overall- Lex Fridman (01:34:42): The actual productivity. Sundar Pichai (01:34:43): The actual productivity. Right? Engineering productivity, which is two different things, which is the more important metric, but I think it’ll get better, right? I think there’s no engineer who, tomorrow, if you magically became 2x more productive, it’s just going to create more things. You’re going to create more value-added things, and so I think you’ll find more satisfaction in your job, right? Lex Fridman (01:35:08): There’s a lot of aspects. I mean, the actual Google code base might just improve because it’ll become more standardized, more easier for people to move about the code base because AI will help with that, and therefore, that will also allow the AI to understand the entire code base better, which makes the engineering aspect. Lex Fridman (01:35:25): So I’ve been using Cursor a lot as a way to program with Gemini and other models. One of its powerful things is it’s aware of the entire code base, and that allows you to ask questions of it. It allows the agents to move about that code base in a really powerful way. I mean, that’s a huge unlock. Sundar Pichai (01:35:44): Think about, like, migrations, refactoring old code bases. Lex Fridman (01:35:52): Refactoring, yeah. Sundar Pichai (01:35:52): Yeah. I mean, think about once we can do all this in a much better, more robust way than where we are today. Lex Fridman (01:35:57): I think in the end, everything will be written in JavaScript and run in Chrome. I think it’s all going to that direction. I mean, just for fun, Google has legendary coding interviews, like rigorous interviews for the engineers. Can you comment on how that has changed in the era of AI? It’s just such a weird… The whiteboard interview, I assume, is not allowed to have some prompts. Sundar Pichai (01:36:24): Such a good question. Look, we are making sure we’ll introduce at least one round of in-person interviews for people just to make sure the fundamentals are there. I think they’ll end up being important, but it’s an equally important skill. Look, if you can use these tools to generate better code, I think that’s an asset. So overall, I think it’s a massive positive. Lex Fridman (01:36:56): Vibe coding engineer, do you recommend people, students interested in programming still get an education in computer science in college education? What do you think? Sundar Pichai (01:37:06): I do. If you have a passion for computer science, I would. Computer science is obviously a lot more than programming alone, so I would. I still don’t think I would change what you pursue. I think AI will horizontally allow impact every field. It’s pretty tough to predict in what ways. So any education in which you’re learning good first principles thinking, I think, is good education. Lex Fridman (01:37:37): You’ve revolutionized web browsing. You’ve revolutionized a lot of things over the years. Android changed the game. It’s an incredible operating system. We could talk for hours about Android. What does the future of Android look like? Is it possible it becomes more and more AI-centric, especially now you throw into the mix, Android XR, with being able to do augmented reality, and mixed reality, and virtual reality in the physical world? Sundar Pichai (01:38:09): The best innovations in computing have come through a paradigm IO change, right? When with GUI, and then with a graphical user interface, and then with multi-touch in the context of mobile voice later on. Similarly, I feel like AR is that next paradigm. I think it was held back. Both the system integration challenges of making good AR is very, very hard. Sundar Pichai (01:38:38): The second thing is you need AI to actually kind of… Otherwise, the IO is too complicated for you to have a natural seamless IO to that paradigm. AI ends up being super important, and so this is why Project Astra ends up being super critical for that Android XR world. But it is. I think when you use glasses and… Always been amazed at how useful these things are going to be. Sundar Pichai (01:39:10): So look, I think it’s a real opportunity for Android. I think XR is one way it’ll kind of really come to life, but I think there’s an opportunity to rethink the mobile OS too, right? I think we’ve been kind of living in this paradigm of apps and shortcuts. All that won’t go away. Sundar Pichai (01:39:28): But again, if you’re trying to get stuff done at an operating system level, it needs to be more agentic so that you can kind of describe what you want to do or it proactively understands what you’re trying to do, learns from how you’re doing things over and over again and kind of as adapting to you all. That is kind of like the unlock we need to go and do. Lex Fridman (01:39:51): Well, the basic efficient minimalist UI. I’ve gotten a chance to try the glasses and they’re incredible. It’s the little stuff. It’s hard to put into words, but no latency. It just works. Even that little map demo, where you look down and you look up, and there’s a very smooth transition between the two, and very small amount of useful information is shown to you, enough not to distract from the world outside, but enough to provide a bit of context when you need it. Lex Fridman (01:40:25): In order to bring that into reality, you have to solve a lot of the OS problems to make sure it works when you’re integrating the AI into the whole thing. So everything you do launches an agent that answers some basic question. Sundar Pichai (01:40:39): Good moonshot, you know? Lex Fridman (01:40:39): Yeah, it’s crazy. Sundar Pichai (01:40:42): I love it. But I think we are, but it’s much closer to reality than other moonshots. We expect to have classes in the hands of developers later this year and in consumer science next year. So it’s an exciting time. Lex Fridman (01:40:59): Yeah, well, extremely well-executed beam, all this stuff, because sometimes you don’t know. Like, somebody commented on a top comment on one of the demos of Beam. They said, “This will either be killed off in five weeks or revolutionize all meetings in five years.” And there’s very much, Google tries so many things, and sometimes, sadly, kills off very promising projects. But because there’s so many other things to focus on. Lex Fridman (01:41:27): I use so many Google products. Google Voice, I still use. I’m so glad that’s not being killed off. That’s still alive. Thank you, whoever is defending that, because it’s awesome, and it’s great. They keep innovating. I just want to list off, just as a big thank you, so Search, obviously, Google revolutionized, Chrome, and all of these could be multi-hour conversations. Gmail, I’ve been singing Gmail praises forever. Maps, incredible technological innovation on revolutionizing mapping. Android, like we talked about. YouTube, like we talked about. AdSense, Google Translate for the academic mind… Lex Fridman (01:42:01): … Google Translate. For the academic mind Google Scholar is incredible. And also the scanning of the books. So making all the world’s knowledge accessible, even with that knowledge is a kind of niche thing, which Google Scholar is. And then obviously with DeepMind, with AlphaZero, AlphaFold and AlphaEvolve, I could talk forever about AlphaEvolve. That’s mind-blowing. All of that released. And as part of that set of things you’ve released in this year when those brilliant articles were written about Google is done. And like we talked about, pioneering self-driving cars and quantum computing, which could be another thing that is low-key that’s scuba diving its way to changing the world forever. So another pothead/ [inaudible 01:42:53] question. If you build AGI, what kind of question would you ask it? What would you want to talk about? Definitively, Google has created AGI that can basically answer any question. What topic are you going to? Where are you going? Sundar Pichai (01:43:14): It’s a great question. Maybe it’s proactive by then and should tell me a few things I should know. But I think if I were to ask it, I think it’ll help us understand ourselves much better in a way that’ll surprise us, I think. And so maybe that, you already see people do it with the products, but in a AGI context, I think that’ll be pretty powerful. Lex Fridman (01:43:43): On a personal level, or a general human nature? Sundar Pichai (01:43:46): At a personal level. Lex Fridman (01:43:46): Okay. Sundar Pichai (01:43:47): So you talking to AGI, I think there is some chance it’ll understand you in a very deep way, I think in a profound way, that’s a possibility. I think there is also the obvious thing of maybe it helps us understand the universe better in a way that expands the frontiers of our understanding of the world. That is something super exciting. But look, I really don’t know. I think I haven’t had access to something that powerful yet, but I think those are all possibilities. Lex Fridman (01:44:29): I think on the personal level, asking questions about yourself, a sequence of questions like that about what makes me happy, I think we would be very surprised to learn through a sequence of questions and answers, we might explore some profound truths in a way that sometimes art reveals to us, great books reveal to us, great conversations with loved ones reveal. Things that are obvious in retrospect, but are nice when they’re said. But for me, number one question is about, how many alien civilizations are there? 100%. Sundar Pichai (01:45:05): That’s going to be your first question? Lex Fridman (01:45:06): Number one, how many living and dead alien civilizations? Maybe a bunch of follow-ups, like how close are they? Are they dangerous? If there’s no alien civilizations, why? Or if there’s no advanced alien civilizations, but bacteria-like life everywhere. Why? What is the barrier preventing it from getting to that? Is it because that when you get sufficiently intelligent, you end up destroying ourselves, because you need competition in order to develop an advanced civilization. And when you have competition it’s going to lead to military conflict, and conflict eventually kills everybody. I don’t know, I’m going to have that kind of discussion. Sundar Pichai (01:45:47): Get an answer to the Fermi Paradox, yeah. Lex Fridman (01:45:49): Exactly. And have a real discussion about it. I’m realizing now with your answer is a more productive answer, because I’m not sure what I’m going to do with that information. But maybe it speaks to the general human curiosity that Liz talked about, that we’re all just really curious, and making the world’s information accessible allows our curiosity to be satiated some with AI even more, we can be more and more curious and learn more about the world, about ourselves. And in so doing, I always wonder, I don’t know if you can comment on, is it possible to measure the, not the GDP productivity increase like we talked about, but maybe whatever that increases, the breadth and depth of human knowledge that Google has unlocked with Google Search, and now with AI mode with Gemini, it’s a difficult thing to measure. Sundar Pichai (01:46:47): Many years ago there was, I think it was a MIT study, they just estimated the impact of Google Search. And they basically said it’s the equivalent to, on a per person basis, it’s few thousands of dollars per year per person, like is the value that got created per year. But yeah, it’s tough to capture these things, right? You kind of take it for granted as these things come, and the frontier keeps moving. But how do you measure the value of something like AlphaFold over time, and so on? Lex Fridman (01:47:25): And also the increasing quality of life when you learn more. I have to say with some of the programming I do done by AI, for some reason I’m more excited to program. Sundar Pichai (01:47:35): Yeah. Lex Fridman (01:47:36): And so the same with knowledge, with discovering things about the world, it makes you more excited to be alive. It makes you more curious, and the more curious, you are more exciting it is to live and experience the world. And it’s very hard to… I don’t know if that makes you more productive. Probably not nearly as much as it makes you happy to be alive. And that’s a hard thing to measure, the quality of life increases some of these things do. As AI continues to get better and better at everything that humans do, what do you think is the biggest thing that makes us humans special? Sundar Pichai (01:48:14): Look, I think [inaudible 01:48:19] the essence of humanity, there’s something about the consciousness we have, what makes us uniquely human, maybe the lines will blur over time. And it’s tough to articulate. But I hope, hopefully we live in a world where if you make resources more plentiful and make the world lesser of a zero-sum game over time, which it’s not, but in a resource constrained environment, people perceive it to be. And so I hope the values of what makes us uniquely human, empathy, kindness, all that surfaces more is the aspirational hope I have. Lex Fridman (01:49:11): Yeah, it multiplies the compassion, but also the curiosity, just the banter, the debates we’ll have about the meaning of it all. And I also think in the scientific domains, all the incredible work that DeepMind is doing, I think we’ll still continue to play, to explore scientific questions, mathematical questions, physics questions, even as AI gets better and better at helping us solve some of the questions. Sometimes the question itself is a really difficult thing. Sundar Pichai (01:49:43): Both the right new questions to ask and the answers to them and the self-discovery process, which it’ll drive, I think. Our early work with both co-scientist and AlphaEvolve, just super exciting to see. Lex Fridman (01:49:59): What gives you hope about the future of human civilization. Sundar Pichai (01:50:04): I’m an optimist, and I look at, if you were to say you take the journey of human civilization, we have relentlessly made the world better in many ways. At any given moment in time, there are big issues to work through it may look, but I always ask myself the question, would you have been born now or any other time in the past? I most often, not most often, almost always would rather be born now. And so that’s the extraordinary thing the human civilization has accomplished, and we’ve kind of constantly made the world a better place. And so something tells me as humanity, we always rise collectively to drive that frontier forward. So I expect it to be no different in the future. Lex Fridman (01:51:00): I agree with you totally. I’m truly grateful to be alive in this moment. And I’m also really excited for the future, and the work you and the incredible teams here are doing is one of the big reasons I’m excited for the future. So thank you. Thank you for all the cool products you’ve built. And please don’t kill Google Voice. Thank you, Sundar. Sundar Pichai (01:51:21): We won’t. Yeah. Lex Fridman (01:51:22): Thank you for talking today. This was incredible. Thank you. Sundar Pichai (01:51:24): Real pleasure. Appreciate it. Lex Fridman (01:51:27): Thanks for listening to this conversation with Sundar Pichai. To support this podcast, please check out our sponsors in the description or at lexfridman.com/sponsors. Shortly before this conversation, I got a chance to get a couple of demos that frankly blew my mind. The engineering was really impressive. The first demo was Google Beam, and the second demo was the XR glasses. And some of it was caught on video, so I thought I would include here some of those video clips. Andrew (01:52:01): Hey Lex, my name’s Andrew. Lex Fridman (01:52:03): How you doing? Andrew (01:52:03): I lead the Google Beam team and we’re going to be excited to show you a demo. We’re going to show you, I think, a glimpse of something new. So that’s the idea, a way to connect, a way to feel present from anywhere with anybody you care about. Here’s Google Beam. This is a development platform that we’ve built. So there’s a prototype here of Google Beam. There’s one right down the hallway. I’m going to go down and turn that on in a second. We’re going to experience it together. We’ll be back in the same room. Lex Fridman (01:52:26): Wonderful. Whoa. Okay. Andrew (01:52:27): Hey Lex, here we are. Lex Fridman (01:52:27): All right. This is real already. Wow. Andrew (01:52:27): This is real. Lex Fridman (01:52:27): Wow. Andrew (01:52:37): Good to see you. This is Google Beam. We’re trying to make it feel like you and I could be anywhere in the world, but when these magic windows open, we’re back together. I see you exactly the same way you see me. It’s almost like we’re sitting at the table sharing a table together, I could learn from you, talk to you, share a meal with you, get to know you. Lex Fridman (01:52:37): So you can feel the depth of this. Andrew (01:52:37): Yeah, great to meet you. Lex Fridman (01:52:58): Wow. So for people who probably can’t even imagine what this looks like, there’s a 3D version. It looks real. You look real. Andrew (01:53:06): Yeah. It looks to me. It looks real to you. Lex Fridman (01:53:06): It looks like you’re coming out of the screen. Andrew (01:53:09): We quickly believe once we’re in Beam that we’re just together. You settle into it. Lex Fridman (01:53:15): Yeah. Andrew (01:53:15): You’re naturally attuned to seeing the world like this, and you just get used to seeing people this way, but literally from anywhere in the world with these magic screens. Lex Fridman (01:53:23): This is incredible. Andrew (01:53:23): It’s a neat technology. Lex Fridman (01:53:25): Wow. So I saw demos of this, but they don’t come close to the experience of this. I think one of the top YouTube comments and one of the demos I saw was like, why would I want a high definition? I am trying to turn off the camera. But this actually, this feels like the camera has been turned off and we’re just in the same room together. This is really compelling. Andrew (01:53:44): That’s right. I know it’s kind of late in the day too. So I brought you a snack just in case you’re a little bit hungry. Lex Fridman (01:53:50): So can you push it farther and it just becomes- Andrew (01:53:52): Yeah. Let’s try to float it between rooms. It kind of fades it from my room into yours. Lex Fridman (01:53:56): And then you see my hand. The depth of my hand. Andrew (01:53:59): Yeah, of course. Yes. Lex Fridman (01:54:00): Wow. Andrew (01:54:00): Of course, yeah. It feels like you… Try this, try give me a high five. And there’s almost a sensation of being in touch. Lex Fridman (01:54:00): Yes. Andrew (01:54:00): You almost feel. Lex Fridman (01:54:05): Yes. Andrew (01:54:06): Because you’re so attuned to that should be a high five, it feeling like you could connect with somebody that way. Lex Fridman (01:54:06): Yeah. Andrew (01:54:11): So it’s kind of a magical experience. Lex Fridman (01:54:12): Oh, this is really nice. How much does it cost? Andrew (01:54:14): Yeah. We’ve got a lot of companies testing it. We just announced that we’re going to be bringing it to offices soon as a set of products. We’ve got some companies helping us build these screens. But eventually, I think this will be in almost every screen. Lex Fridman (01:54:26): There’s nothing, I’m not wearing anything. Well, I’m wearing a suit and tie to clarify, I am wearing clothes. This is not CGI. But outside of that, cool. And the audio is really good. And you can see me in the same three-dimensional way. Andrew (01:54:40): Yeah, the audio is spatialized. So if I’m talking from here, of course it sounds like I’m talking from here. If I move to the other side of the room to here. Lex Fridman (01:54:41): Wow. Andrew (01:54:48): So these little subtle cues, these really matter to bring people together, all the non-verbals, all the emotion, the things that are lost today. Here it is. We put it back into the system. Lex Fridman (01:54:57): You pulled this off. Holy shit, they pulled it off. And integrated into this, I saw the translation also. This is the- Andrew (01:55:05): Yeah, we’ve got a bunch of things. Let me show you a couple kind of cool things. Let’s do a little bit of work together. Maybe we could critique one of your latest videos. So you and I work together, so of course we’re in the same room. But with the super power, I can bring other things in here with me. And it’s nice. It’s like we could sit together, we could watch something. We could work. We’ve shared meals as a team together in this system. But once you do the presence aspect of this, you want to bring some other superpowers to it. Lex Fridman (01:55:35): Wow. And so you could do review code together. Andrew (01:55:38): Yeah, yeah, exactly. I’ve got some slides I’m working on. Maybe you could help me with this. Keep your eyes on me for a second. I’ll slide back into the center. I didn’t really move. But the system just kind of puts us in the right spot and knows where we need to be. Lex Fridman (01:55:50): Oh, so you just turned to your laptop, the system moves you, and then it does the overlay automatically. Andrew (01:55:55): It kind of warps the room to put things in the spot that they need to be in. Lex Fridman (01:55:58): Yeah. Andrew (01:55:59): Everything has a place in the room, everything has a sense of presence or spatial consistency. And that makes it feel like we’re together with us and other things. Lex Fridman (01:56:06): I should also say, you’re not just three-dimensional, it feels like you’re leaning out of the screen, you’re coming out of the screen. You’re not just in that world three-dimensionaly. Yeah, exactly. Holy crap. Move back to center. Okay. Andrew (01:56:23): Let me tell you how this works. You probably already have the premise of it. But there’s two things, two really hard things that we put together. One is a AI video model. So there’s a set of cameras, you asked about those earlier. There’s six color cameras, just like webcams that we have today, taking video streams and feeding them into our AI model and turning that into a 3D video of you and I. It’s effectively a light field. So it’s kind of an interactive 3D video that you can see from any perspective. That’s transmitted over to the second thing. And that’s a light field display. And it’s happening bidirectionally. I see you and you see me both in our light field displays. These are effectively flat televisions or flat displays, but they have the sense of dimensionality, depth, size is correct. You can see shadows and lighting are correct. And everything’s correct from your vantage point. Andrew (01:57:12): So if you move around ever so slightly, and I hold still, you see a different perspective here. You see kind of things that were included become revealed. You see shadows that move in the way they should move. All of that’s computed and generated using our AI video model for you. It’s based on your eye position, where does the right scene need to be placed in this light field display for you just to feel present? Lex Fridman (01:57:33): It’s real time. No latency. I’m not seeing latency. You weren’t freezing up at all. Andrew (01:57:37): No, no, I hope not. I think it’s you and I together real time. That’s what you need for real communication. And at a quality level it’s realistic. Lex Fridman (01:57:46): This is awesome. Is it possible to do three people? Is that going to move that way also? Andrew (01:57:50): Yeah. Let me kind of show you. So if she enters the room with us, you can see her, you can see me. And if we had more people, you eventually lose a sense of presence. You kind of shrink people down. You lose a sense of scale. So think of it as the window fits a certain number of people. If you want to fit a big group of people, you want the boardroom or the big room, you need a much wider window. If you want to see just grandma and the kids, you can do smaller windows. So everybody has a seat at the table, or everybody has a sense of where they belong, and there’s this sense of presence that’s obeyed. If you have too many people, you kind of go back to 2D metaphors that we’re used to people in tiles placed anywhere. Lex Fridman (01:58:27): For the image I’m seeing, did you have to get scanned? Andrew (01:58:29): I mean, I see you without being scanned. So it’s just so much easier if you don’t have to wear anything. You don’t have to pre-scan. Lex Fridman (01:58:34): Yeah. Andrew (01:58:34): And you just do it the way it’s supposed to happen without anybody having to learn anything or put anything on. Lex Fridman (01:58:39): I thought you had to solve the scanning problem. But here you don’t. It’s just cameras. Its just vision. Andrew (01:58:46): That’s right. It’s video. Yeah, we’re not trying to make an approximation of you, because everything you do every day matters. I cut myself shaving, I put on a pin. All the little kind of aspects of you, those just happen. We don’t have the time to scan or kind of capture those or dress avatars. We kind of appear as we appear. And so all that’s transmitted truthfully as it’s happening. Speaker 3 (01:59:10): How you doing? Lex Fridman (01:59:11): Good to meet you. Speaker 3 (01:59:12): Nice to meet you. So as Max mentioned, got the eye glasses here. We start with the foundation of great glasses, something stylish, lightweight, wearable. Then we say how can we build great technology and experiences on top of that? One of the core tenets of the Android XR platform, this idea of a multimodal conversational device. See what you see, hear what you hear. So you’ve got a camera, you’ve got speakers, multiple microphones for speaker isolation. I’ll give you a chance to try these yourself. Yeah, sorry, I woke it up there. Lex Fridman (01:59:37): Whoa. Speaker 3 (01:59:39): Yeah. So the first thing you see is a super simple, straightforward home screen. Lex Fridman (01:59:45): Yes. Speaker 3 (01:59:45): So you probably see the time, the weather, calendar, appointments there. This is designed to be sort of your one-stop shop for quick glanceable information throughout the day. We want it to do something that’s easy to get what you need, and then go back to what you’re doing. So you can imagine turning on the display, getting that quick glance, and then continuing on your way. You can be fully conversational at this point. You can ask questions for example about the paintings. You can interrupt. You can ask follow up questions. And as I mentioned before, if you want to at any time, pause, you just tap there on the right. Lex Fridman (02:00:12): Gemini, how much does this painting cost? Gemini (02:00:15): The painting is called the Bridge of Louis-Philippe, 1875 by Armand Guillaumin. It appears to be a print. And it would be impossible to know it’s cost without finding the seller. Lex Fridman (02:00:25): Okay, so this is fake. I understand. Why do humans pay so much money for paintings? Gemini (02:00:30): People pay a lot for paintings, because of their artistic merits, the artist’s name and rarity, and for the appreciation you learn. Speaker 3 (02:00:38): So a few more things that we want to show you just for sake of time, you go ahead and long press on the side again to salute Gemini there. There you go. Did you catch Google I/O last week by any chance? Lex Fridman (02:00:48): Yes. Speaker 3 (02:00:48): So you might’ve seen on stage the Google Maps experience very briefly. I wanted to give you a chance to get a sense of what that feels like today. You can imagine you’re walking down the street. If you look up like you’re walking straight ahead, you get quick turn-by-turn directions, so you have a sense of what the next turn is like. Lex Fridman (02:00:48): Whoa. Nice. Speaker 3 (02:01:05): Keeping your phone in your pocket. Lex Fridman (02:01:06): Oh, that’s so intuitive. Speaker 3 (02:01:07): Sometimes you need that quick sense of which way’s the right way? Lex Fridman (02:01:08): Yeah. Sometimes. Speaker 3 (02:01:14): Yeah. So let’s say you’re coming out of Subway, getting out of a cab. You can just glance down at your feet. We have it set up to translate from Russian to English. I think I get to wear the glasses and you speak to me, if you don’t mind. Lex Fridman (02:01:22): I can speak Russian. [foreign language 02:01:27]. Speaker 3 (02:01:29): I’m doing well. How are you doing? Lex Fridman (02:01:30): I’m tempted to swear, tempted to say inappropriate things. [foreign language 02:01:37]. Speaker 3 (02:01:41): I see it transcribed in real time. And so obviously based on the different languages and the sequence of subjects and verbs, there’s a slight delay sometimes, but it’s really just like subtitles for the real world. Cool. Lex Fridman (02:01:53): Thank you for this. All right, back to me. Hopefully watching videos of me having my mind blown like the apes in 2001 Space Odyssey playing with a monolith was somewhat interesting. Like I said, I was very impressed. And now I thought, if it’s okay, I could make a few additional comments about the episode and just in general. In this conversation with Sundar Pichai, I discussed the concept of the Neolithic package, which is the set of innovations that came along with the first agricultural revolution about 12,000 years ago, which included the formation of social hierarchies, the early primitive forms of government, labor specialization, domestication of plants and animals, early forms of trade, large scale cooperations of humans like that required to build, yes, the pyramids and temples like Göbekli Tepe. I think this may be the right way to actually talk about the inventions that changed human history, not just as a single invention, but as a kind of network of innovations and transformations that came along with it. Lex Fridman (02:03:02): And the productivity multiplier framework that I mentioned in the episode, I think is a nice way to try to concretize the impact of each of these inventions under consideration. And we have to remember that each node in the network of the fast follow-on inventions is in itself a productivity multiplier. Some are additive, some are multiplicative. So in some sense, the size of the network in the package is the thing that matters when you’re trying to rank the impact of inventions on human history. The easy picks for the period of biggest transformation, at least in sort of modern day discourse is the Industrial Revolution, or even in the 20th century, the computer or the internet. I think it’s because it’s easiest to intuit for modern day humans, the exponential impact of those technologies. Lex Fridman (02:04:05): But recently, I suppose this changes week to week, but I have been doing a lot of reading on ancient human history. So recently my pick for the number one invention would have to be the first agricultural revolution, the Neolithic package that led to the formation of human civilizations. That’s what enabled the scaling of the collective intelligence machine of humanity, and for us to become the early bootloader for the next 10,000 years of technological progress, which yes, includes AI and the tech that builds on top of AI. And of course it could be argued that the word invention doesn’t properly apply to the agricultural revolution. I think actually Yuval Noah Harari argues that it wasn’t the humans who were the inventors, but a handful of plant species, namely wheat, rice and potatoes. This is strictly a fair perspective. But I’m having fun, like I said, with this discussion. Here, I just think of the entire earth as a system that continuously transforms. And I’m using the term invention in that context. Asking the question of when was the biggest leap on the log-scale plot of human progress? Lex Fridman (02:05:23): Will AI, AGI, ASI eventually take the number one spot on this ranking? I think it has a very good chance to do so due again to the size of the network of inventions that will come along with it. I think we discuss in this podcast the kind of things that would be included in the so-called AI package. But I think there’s a lot more possibilities, including discussed in previous podcasts and many previous podcasts, including with Dario Amodei, talking on the biological innovation side, the science progress side. And this podcast, I think we talk about something that I’m particularly excited about in the near term, which is unlocking the cognitive capacity of the entire landscape of brains that is the human species. Making it more accessible through education and through machine translation, making information, knowledge and the rapid learning and innovation process accessible to more humans, to the entire 8 billion, if you will. So I do think language or machine translation apply to all the different methods that we use on the internet to discover knowledge is a big unlock. But there are a lot of other stuff in the so-called AI package like discussed with Dario, curing all major human diseases. He really focuses on that in The Machines of Love and Grace essay. I think there will be huge leaps in productivity for human programmers and semi-autonomous human programmers. So humans in the loop, but most of the programming is done by AI agents. And then moving that towards a superhuman AI researcher that’s doing the research that develops and programs the AI system in itself. I think there’ll be huge transformative effects from autonomous vehicles. These are the things that we maybe don’t immediately understand, or we understand from an economics perspective, but there will be a point when AI systems are able to interpret, understand, interact with the human world to sufficient degree to where many of the manually controlled human in the loop systems we rely on become fully autonomous. Lex Fridman (02:07:43): And I think mobility is such a big part of human civilization that there will be effects on that, that they’re not just economic, but are social cultural and so on. And there’s a lot more things I could talk about for a long time. So obviously the integration utilization of AI in the creation of art, film, music, I think the digitalization and automating basic functions of government, and then integrating AI into that process, thereby decreasing corruption and costs and increasing transparency and efficiency. I think we as humans, individual humans, will continue to transition further and further into cyborgs. There’s already a AI in the loop of the human condition, and that will become increasingly so as AI becomes more powerful. The thing I’m obviously really excited about is major breakthroughs in science, and not just on the medical front but on fundamental physics, which would then lead to energy breakthroughs increasing the chance that we become, we actually become a Kardashev Type I civilization. And then enabling us in so doing to do interstellar exploration of space and colonization of space. I think there also in the near term, much like with the industrial revolution that led to rapid specialization of skills of expertise, there might be a great sort of de-specialization. So as the AI system become superhuman experts at particular fields, there might be greater and greater value to being the integrator of AIs for humans to be generalists. And so the great value of the human mind will come from the generalists, not the specialists. That’s a real possibility that that changes the way we are about the world, that we want to know a little bit of a lot of things and move about the world in that way. That could have when passing a certain threshold, a complete shift in who we are as a collective intelligence as a human species. Also as an aside, when thinking about the invention that was the greatest in human history, again for a bit of fun, we have to remember that all of them build on top of each other. Lex Fridman (02:10:15): And so we need to look at the Delta, the step change on the, I would say impossibly to perfectly measure plot of exponential human progress. Really we can go back to the entire history of life on earth. And a previous podcast guest, Nick Lane does a great job of this in his book Life Ascending, listing these 10 major inventions throughout the evolution of life on earth like DNA, photosynthesis, complex cells, sex, movement, sight, all those kinds of things. I forget the full list that’s on there. But I think that’s so far from the human experience that my intuition about, let’s say productivity multipliers of those particular inventions completely breaks down, and a different framework is needed to understand the impact of these inventions of evolution. The origin of life on Earth, or even the Big Bang itself of course is the OG invention that set the stage for all the rest of it. And there are probably many more turtles under that which are yet to be discovered. Lex Fridman (02:11:26): So anyway, we live in interesting times, fellow humans. I do believe the set of positive trajectories for humanity outnumber the set of negative trajectories, but not by much. So let’s not mess this up. And now let me leave you with some words from French philosopher Jean de La Bruyère, “Out of difficulties, grow miracles.” Thank you for listening, and hope to see you next time.

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