This is the center of Google.

這裡是谷歌的中心。

Gosh, it's hard to remember life before Google.

天哪，很難回憶起谷歌之前的生活。

It changed literally everything.

它改變了一切。

How we live, how we work, how we communicate, how we get literally anywhere on a googly colored bike.

我們如何生活，如何工作，如何交流，如何騎著鵝黃色的自行車到達任何地方。

Google has been the front door of the internet for over two decades.

二十多年來，谷歌一直是互聯網的大門。

And now there are so many doors.

現在有這麼多門。

Google may not be the first place you go for answers anymore.

谷歌可能不再是您尋找答案的首選。

So what are they going to do about it?

那麼，他們打算怎麼做呢？

Hello.

你好

Emily, so good to meet you again.

艾米麗，很高興再次見到你。

Good to see you again.

很高興再次見到你。

Thanks so much for having us here.

非常感謝你邀請我們來這裡。

Likewise.

同樣。

I'm glad you chose a sunny day to come on campus.

我很高興你選擇了一個陽光明媚的日子來到校園。

Sundar Pichai is at a pivotal moment.

桑達爾-皮查伊正處於關鍵時刻。

He's the CEO of Google and its parent company Alphabet, rising to the top after proving his mettle as a talented product leader and peacemaker.

他是谷歌及其母公司 Alphabet 的首席執行官，在證明了自己作為一名才華橫溢的產品領導者和和平締造者的能力後，他躍升至最高職位。

He runs a tech giant that functions more like a micro-country, overseeing businesses as consequential as YouTube, DeepMind, Cloud, and of course, Search.

他管理的科技巨頭更像是一個微型國家，監管著 YouTube、DeepMind、雲計算等重要業務，當然還有搜索。

Pichai has been carefully crafting a strategy that infuses AI into every corner of the business.

皮查伊一直在精心制定一項戰略，將人工智能滲透到業務的每一個角落。

That deliberate planning was met with a surprise from longtime rival Microsoft and OpenAI, whose chatbot seemingly knocked Google off its perch and challenged its cultural relevance.

這一深思熟慮的計劃遭到了長期競爭對手微軟和 OpenAI 的出其不意，後者的哈拉機器人似乎將谷歌推下了神壇，並對谷歌的文化相關性提出了挑戰。

ChatGPT set off a code red at Google and an industry-wide fever pitch over AI not seen since the dot-com boom.

ChatGPT 在谷歌引發了一場 "紅色警報"，整個行業掀起了自互聯網繁榮以來從未有過的人工智能熱潮。

But for Pichai, the frenzy is just part of the long game.

但對皮查伊來說，狂熱只是長期遊戲的一部分。

I saw it's your 20th anniversary.

我看到今天是你的 20 週年紀念日。

That's right.

這就對了。

It was last week.

是上週。

It crept up on me.

它悄悄地向我襲來。

Are you coffee or tea?

你要咖啡還是茶？

I'll go for coffee.

我去喝咖啡

How about you?

你呢？

I'm going to have a green tea.

我要喝杯綠茶。

Does it feel like you've been here for 20 years?

是否感覺你已經在這裡工作了 20 年？

Not quite.

不完全是。

You know, time flies by.

你知道，時間過得真快。

You know, I had my kids right when I started Google too, so the whole thing just flew by.

要知道，我也是在開始做 Google 的時候有了孩子，所以整個過程都是一晃而過。

Google is famous for those out-of-the-box job interview questions.

谷歌以那些打破常規的求職面試問題而聞名。

Do you remember any of yours?

你還記得你自己的作品嗎？

Did you have to figure out how many golf balls fit in a school bus or something like that?

你是不是得算出一輛校車能裝多少個高爾夫球之類的東西？

Thank God, no.

謝天謝地，沒有。

You know, but I remember very, very clearly I interviewed on April 1st.

你知道，但我記得非常非常清楚，我是在 4 月 1 日面試的。

So it was April Fool's Day, 2004.

這就是 2004 年的愚人節。

There was a rumor.

有傳言說

I didn't know whether it had actually happened, but Gmail apparently had launched.

我不知道這是否真的發生過，但 Gmail 顯然已經啟動了。

So all my interviews were about Gmail.

所以我所有的採訪都是關於 Gmail 的。

People wanted to know what I thought of the product.

人們想知道我對產品的看法。

And it definitely wasn't a joke.

這絕對不是玩笑。

Definitely.

當然。

They actually launched it.

他們真的發射了。

But I never allow...

但我從不允許...

No products on April Fool's Day.

愚人節沒有產品。

I think it's too confusing.

我覺得這太混亂了。

You just had a blowout quarter.

你們剛剛經歷了一個爆冷的季度。

The stock jumped more than it has in a long time.

該股的跳升幅度超過了很長時間以來的水準。

Did that feel like a little bit of vindication or, as they say in cricket, was that the bat-talking?

這是不是有點平反的感覺，或者就像板球比賽中說的那樣，是球棒在說話？

In many ways, you know, I felt we worked very hard to set up the company for that.

在很多方面，你知道，我覺得我們非常努力地為此建立公司。

You know, in 2016, one of the first things I did as CEO was to say the company should be AI first.

要知道，2016 年，我作為首席執行官做的第一件事就是說，公司應該以人工智能為先。

To me, we are just getting started in the beginning of what I think would be an extraordinary decade of innovation.

在我看來，我們才剛剛起步，我認為這將是非凡創新的十年。

And so I'm incredibly excited about it.

是以，我對此感到無比興奮。

AI has been around for decades, but it seems like everything is happening everywhere all at once.

人工智能已經存在了幾十年，但似乎所有事情都是同時發生的，無處不在。

How do you make sense of the frenzy and the scale?

如何理解這種狂熱和規模？

All tech cycles are this way, right?

所有的技術週期都是這樣，對嗎？

But this one feels different.

但這次感覺不同。

It feels bigger, is it?

感覺更大了，是嗎？

It is bigger.

它更大。

We still have long ways to go, but we are in the early stages of that.

我們還有很長的路要走，但我們正處於早期階段。

And so, you know, you're going to feel that excitement, that frenzy.

是以，你會感受到那種興奮和狂熱。

But I think we are prepared for it.

但我認為我們已經做好了準備。

So you kind of roll with the flow.

所以你要順其自然。

You embrace it.

你擁抱它。

How are you and your kids experimenting with AI at home?

您和您的孩子在家裡是如何嘗試人工智能的？

We use Google Lens for homework.

我們用 Google Lens 做作業。

I don't want to get them in trouble, but the class allows you to do that.

我不想給他們添麻煩，但課堂允許你這樣做。

But sometimes he asks me for help on math.

但有時他會向我請教數學問題。

I don't know, sometimes I'm lazy and I pretend as if I'm thinking, but I'm also using Google Lens to kind of figure out the answer.

我不知道，有時候我很懶，會假裝在思考，但我也會用谷歌透鏡來找出答案。

You grew up in Chennai, in India.

你在印度欽奈長大。

What was it like at the kitchen table?

在廚房的餐桌上是什麼樣的？

Like what got you here?

比如你為什麼來這裡？

My parents always emphasized, you know, learning and knowledge, and it's what in some ways Google with its mission, you know, always resonated very deeply with me.

我的父母一直強調學習和知識，在某種程度上，谷歌的使命也讓我產生了深深的共鳴。

You know, I felt this quest for learning, knowledge, et cetera, is what the company is about too.

你知道，我覺得這種對學習、知識等的追求也是公司的宗旨。

I grew up in a middle class family.

我生長在一箇中產階級家庭。

I perceived our life through the arrival of gadgets and waited five years for a telephone.

我通過小工具的到來感知我們的生活，等了五年才等到一部電話。

It was a rotary phone.

那是一部旋轉電話。

But when it came to our home, you know, it changed everyone's lives.

但當它來到我們家時，你知道，它改變了每個人的生活。

I remember getting our first television and suddenly being able to watch sports.

我記得我們家有了第一臺電視，突然就能看體育比賽了。

You know, I used to bike a long way to school, but, you know, there was no gear in the bike and I had to go up hill.

你知道，我曾經騎自行車走很遠的路去上學，但是，你知道，自行車沒有齒輪，我必須上坡。

But then after many years, I got a bike with gears and like, I'm like, wow, this thing makes, you know, what a dramatic difference.

但很多年後，我有了一輛帶齒輪的自行車，我就想，哇，這東西真是大不一樣。

I never took technology for granted.

我從不認為技術是理所當然的。

And so that's what, you know, always been optimistic about how technology can make a You've been CEO now for a decade.

所以，你知道的，我一直對技術如何讓你成為首席執行官持樂觀態度。

How have you changed in that time?

這段時間你有什麼變化？

I think the main thing is when you've done it for a while, you know, you get to understand patterns.

我認為最重要的是，當你做了一段時間之後，你就會了解其中的規律。

So you're running into something, but there's a sense of deja vu, you know, you've seen it before.

所以，你會遇到一些事情，但有一種似曾相識的感覺，你知道，你以前見過它。

And so I think that helps you kind of pattern match and deal with it more effectively.

是以，我認為這可以幫助你更有效地進行模式匹配和處理。

But a lot of this is, you know, at this scale, you have so much coming at you.

但是，你知道，在這樣的規模下，很多事情都會向你襲來。

There's a lot of noise and most of it doesn't matter.

有很多噪音，但大部分都無關緊要。

So the ability to separate the signal from the noise, pay attention to the few things that you need to pay attention to and, you know, I think I've gotten better at that over the years.

是以，我有能力將信號從噪音中分離出來，關注你需要關注的少數幾件事，你知道，這些年來我在這方面做得越來越好了。

I heard Sergey is back and working a bit on AI.

我聽說謝爾蓋回來了，正在研究人工智能。

What is the involvement of Larry and Sergey these days and what advice are they giving you?

拉里和謝爾蓋最近參與了哪些活動，他們給了你哪些建議？

I talk to them regularly.

我經常和他們哈拉。

Sergey is actually spending more time in the office.

實際上，謝爾蓋在辦公室待的時間更長了。

He's literally coding and, you know, some of my fondest memories over the last year is sitting with Sergey on large screen, looking at loss curves as we train these models.

在過去的一年裡，我最美好的回憶就是和謝爾蓋一起坐在大屏幕前，看著損失曲線來訓練這些模型。

I think one of the advantages they have is they're not caught up in the day to day.

我認為，他們的優勢之一就是不會被日常事務所困擾。

So sometimes when I have conversations with them, it allows all of us to step back and look at the bigger picture, which I think is incredibly important when you're on something at this scale.

是以，有時當我與他們交談時，我們所有人都能退後一步，縱觀全局，我認為這對從事這種規模的工作非常重要。

The decisions Pichai and Google make influence how billions of people get information.

皮查伊和 Google 所做的決定會影響數十億人獲取信息的方式。

And the nature of how users do that is starting to change in the age of AI.

而在人工智能時代，用戶這樣做的本質開始發生變化。

This seems like a threat to Google, except the core technology being used by Google's competitors was invented by Google itself.

這似乎是對谷歌的威脅，只不過谷歌競爭對手使用的核心技術是谷歌自己發明的。

Google researchers invented the transformer, literally the T in GPT.

谷歌研究人員發明了變壓器，即 GPT 中的 T。

Do you wish you capitalized on that louder and sooner?

你是否希望自己能更快、更響亮地利用這一點？

We use transformers in search.

我們在搜索中使用變壓器。

That's what led to large gaps in search quality compared to other products.

這就是導致搜索品質與其他產品相比存在巨大差距的原因。

So we have infused transformers across our products.

是以，我們在所有產品中都使用了變壓器。

We have a chance to do that better with generative AI and with the Gemini series of models.

通過生成式人工智能和雙子座系列模型，我們有機會更好地做到這一點。

And there's going to be more breakthroughs in this field.

這個領域還會有更多的突破。

But what is more important is we are driving that progress.

但更重要的是，我們正在推動這一進步。

And if the new Google is only going to be more and more AI, you know, AI is super helpful sometimes, but sometimes it's still deeply wrong.

如果新的谷歌只會越來越多地使用人工智能，你知道，人工智能有時超級有用，但有時還是會大錯特錯。

Where do you draw the line?

你的底線在哪裡？

I think part of what makes Google search differentiator is while there are times we give answers, it will always link to a wide variety of sources.

我認為，谷歌搜索與眾不同之處在於，雖然我們有時會給出答案，但它總是會鏈接到各種來源。

We've had answers in search now for many, many years.

多年來，我們一直在尋找答案。

We are just now using generative AI to do that.

我們現在剛剛使用生成式人工智能來實現這一目標。

So the links will live on.

是以，這些鏈接將繼續存在。

Yes.

是的。

And, you know, I think it'll always be an important part of search.

而且，我認為這將永遠是搜索的重要組成部分。

There will be times when they want quick answers.

有時，他們需要快速得到答案。

My son is celiac, so we did a quick question to see whether something is gluten free.

我兒子患有乳糜瀉，所以我們會快速詢問一些東西是否不含麩質。

We just want to know.

我們只想知道

But often it leads to more things and, you know, then you want to explore more.

但往往會引出更多的東西，你知道，然後你就會想要探索更多。

I think understanding that, meeting all that needs is part of what makes search unique.

我認為，理解這一點、滿足所有需求是搜索的獨特之處。

Some leading computer scientists have said search is getting worse, more SEO spam, etc.

一些著名的計算機科學家表示，搜索正在變得越來越糟糕，搜索引擎優化垃圾郵件越來越多，等等。

Do you see their point?

你明白他們的意思嗎？

Anytime there's a transition, you get an explosion of new content and AI is going to do that.

任何時候，只要有轉型，就會有新內容的爆炸式增長，而人工智能就會做到這一點。

So for us, we view this as the challenge.

是以，對我們來說，這就是挑戰。

And I actually think, you know, there'll be people who will struggle to do that, right?

實際上，我認為，你知道，有些人會為此而掙扎，對嗎？

So doing that well is what will define a high quality product.

是以，做好這一點才能定義高質量的產品。

And I think it's going to be the heart of what makes search successful.

我認為這將是搜索成功的核心所在。

You make a ton of money on ads next to the links generated by searches.

你可以通過搜索產生的鏈接旁邊的廣告賺大錢。

If a chatbot is giving you answers and not links, and maybe more answers than links sometimes, are we in the midst of an assault on Google's business model?

如果哈拉機器人給你的是答案而不是鏈接，甚至有時答案比鏈接還多，那麼我們是否正處於對谷歌商業模式的攻擊之中？

So we've always found people want choices, including in commercial areas.

是以，我們發現人們總是希望有選擇，包括在商業區。

And that's a fundamental need.

這是最基本的需求。

And I think we've always been able to balance it.

我認為我們一直都能做到平衡。

As we are rolling out AI overviews in search, we've been experimenting with ads.

我們在搜索中推出人工智能概覽的同時，也一直在進行廣告試驗。

And the data we see shows that those fundamental principles will hold true during this phase as well.

我們看到的數據表明，這些基本原則在這一階段也將適用。

The images that Gemini initially generated of Asian Nazis and black founding fathers, you said that was unacceptable.

雙子座最初產生的亞裔納粹和黑人開國元勳的形象，你說那是不可接受的。

If you look at any pictures of the founding fathers, you're seeing old white men.

如果你看任何開國元勳的照片，你看到的都是白人老頭。

People are calling this woke AI.

人們稱其為清醒的人工智能。

And it's not just happening here, it's happening across the industry.

這不僅發生在這裡，也發生在整個行業。

How did the model generate something that it never saw?

模型是如何生成它從未見過的東西的？

We are a company which serves products to users around the world.

我們是一家為全球用戶提供產品的公司。

And there are generic questions.

還有一些通用問題。

For example, people come and say, show me images of schoolteachers or doctors or nurses.

例如，有人會說，給我看看教師、醫生或護士的影像。

We have people asking this query from Indonesia or the US.

有來自印度尼西亞或美國的人向我們提出這個問題。

How do you get it right for our global user base?

如何為我們的全球用戶群提供正確的服務？

Obviously, the mistake was that we over applied, including cases where it should have never applied.

顯然，我們的錯誤在於過度適用，包括本不應適用的情況。

So that was the bug.

原來是這個 bug。

And, you know, so we got it wrong.

而且，你知道，我們搞錯了。

Would you say it's like good intentions gone awry?

你會說這是好心辦壞事嗎？

In this particular case, yes.

在這種特殊情況下，是的。

Right.

對

I think, you know, we are rightfully held to a high bar.

我認為，你知道，我們理所當然要遵守很高的標準。

And I think we clearly take responsibility for it.

我認為我們應該為此承擔責任。

And we're going to get it right.

我們要把它做好。

How concerned are you about AI generated content ruining search?

您有多擔心人工智能生成的內容會毀掉搜索？

For example, the AI generated selfie of the tank man in Tiananmen Square.

例如，人工智能生成的天安門廣場坦克兵自拍照。

It shows up in Google search results, but it never happened.

它顯示在谷歌搜索結果中，但從未發生過。

The challenge for everyone and the opportunity is how do you have a notion of what's objective and real in a world where there's going to be a lot of synthetic content?

每個人都面臨的挑戰和機遇是，在一個會出現大量合成內容的世界裡，如何才能確定什麼是客觀和真實的？

I think it's part of what will define search in the next decade ahead.

我認為，這正是未來十年搜索的定義之一。

People often come to Google right away to see whether something they saw somewhere else actually happened.

人們往往會立即通過谷歌來查看他們在其他地方看到的事情是否真實發生過。

It's a common pattern we see.

這是我們常見的模式。

We are making progress, but it's going to be an ongoing journey.

我們正在取得進展，但這將是一個持續的過程。

You've got AI systems that are running out of training data.

人工智能系統的訓練數據即將耗盡。

You've got companies turning to AI generated data to train their models.

有公司開始使用人工智能生成的數據來訓練他們的模型。

Aren't there risks to that?

這樣做不是有風險嗎？

Yes, I think that, you know, through it all, are you creating new knowledge?

是的，我認為，你知道，通過這一切，你是否在創造新的知識？

Are these models developing reasoning capabilities, right?

這些模型正在發展推理能力，對嗎？

Are you making progress in the intelligence of these models?

你們在這些模型的智能化方面是否取得了進展？

I think those are the frontiers.

我認為這些就是前沿。

We need to prove that, you know, you can do that by using these techniques.

我們需要證明，你知道，使用這些技術可以做到這一點。

Is LLM technology nearing a plateau?

LLM 技術是否已接近瓶頸？

I would be surprised if LLMs are the only thing we would need to make progress.

如果法律碩士是我們取得進步所需的唯一條件，我會感到驚訝。

We are investing a lot of computing and resources, our AI researchers' talent, in driving the next generation set of breakthroughs.

我們正在投入大量的計算和資源，以及我們人工智能研究人員的才能，來推動下一代的突破。

It seems when you look at the big picture, like Google missed the big moment and Chachi Pt took it.

縱觀全局，谷歌似乎錯過了大好時機，而恰恰是 Pt 抓住了它。

A new artificial intelligence program called ChatGPT made its debut online.

一款名為 ChatGPT 的新型人工智能程序首次在網上亮相。

It's as revolutionary as the internet.

它就像互聯網一樣具有革命性。

The topic of today's Big Take is also Microsoft and its big bet on AI and how it just kind of leapfrogged over Google and no one kind of knew about it until now.

今天 "大事件 "的主題也是微軟和它在人工智能上的巨大賭注，以及它是如何一躍超過谷歌的，直到現在才有人知道。

If you could go back, what would you do differently?

如果可以回到過去，你會怎麼做？

To be clear, I take a long-term perspective and say, when the internet just first came about, Google didn't even exist then, right?

說白了，我是從長遠角度考慮的，互聯網剛剛出現的時候，谷歌還不存在，對吧？

So we were in the first company to do search.

是以，我們是第一批進行搜索的公司。

We were in the first company to do email.

我們是第一家使用電子郵件的公司。

We were in the first company to build a browser.

我們是第一家開發瀏覽器的公司。

So I view this AI as, you know, we are in the earliest possible stages.

是以，我認為人工智能是，你知道，我們正處於儘可能早的階段。

Your leadership style has been described as slow and steady and cautious, sometimes maybe too cautious.

你的上司風格被描述為緩慢、穩健、謹慎，有時可能過於謹慎。

And you're often compared to these other tech leaders who are moving fast and breaking things.