Google CEO Sundar Pichai and the Future of AI | The Circuit
Summary
TLDR谷歌CEO桑达尔·皮查伊在采访中分享了谷歌在AI领域的战略布局,强调了AI在谷歌各项业务中的融合和重要性。面对微软和OpenAI的挑战,皮查伊表示谷歌已准备好应对AI带来的变化,并对未来的创新充满期待。他还谈到了谷歌的文化、对员工的看法以及对AI未来潜力的展望,包括对AI安全性和全球合作的考虑。
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Q & A
谷歌如何改变了我们的生活方式?
-谷歌改变了我们的居住、工作、沟通方式,甚至改变了我们使用色彩鲜艳的自行车去任何地方的方式。
谷歌作为互联网的前门已经有多少年了?
-谷歌作为互联网的前门已经有二十多年了。
谷歌CEO桑达尔·皮查伊(Sundar Pichai)目前面临的关键时刻是什么?
-桑达尔·皮查伊作为谷歌及其母公司Alphabet的CEO,他证明了自己作为一个有才华的产品领导者和和平缔造者,目前正处于一个关键的时刻,他正在领导一个更像是一个微型国家的科技巨头,负责YouTube、DeepMind、云服务和搜索等重要业务。
谷歌如何将人工智能融入其业务的每个角落?
-皮查伊一直在精心制定一个策略,将人工智能注入谷歌业务的每个角落。
谷歌如何应对微软和OpenAI的挑战?
-微软和OpenAI的聊天机器人ChatGPT似乎让谷歌失去了领先地位,并挑战了其文化相关性。谷歌对此采取了紧急应对措施,引发了全行业对人工智能的狂热,这是自互联网泡沫以来从未见过的。
谷歌在人工智能领域有哪些长远的计划?
-皮查伊认为,目前的狂热只是人工智能长期游戏的一部分。他提到,谷歌作为CEO的首要任务之一就是将公司定位为AI优先,并认为我们正处于一个非凡的创新十年的开始。
谷歌如何使用人工智能来帮助家庭作业?
-皮查伊提到他和他的孩子们使用谷歌镜头(Google Lens)来帮助家庭作业,尽管有时候他也会偷偷使用谷歌镜头来帮助解决数学问题。
谷歌在人工智能领域有哪些竞争对手?
-谷歌在人工智能领域的竞争对手包括微软和OpenAI等,这些公司正在大力投资人工智能技术。
谷歌如何看待其在人工智能领域的未来?
-谷歌认为,尽管人工智能有时会提供错误的信息,但它在搜索中的使用将始终链接到各种来源,这是谷歌搜索与众不同的地方。
谷歌如何处理由人工智能生成的内容可能破坏搜索结果的问题?
-谷歌正在努力解决人工智能生成的内容可能破坏搜索结果的问题,例如AI生成的天安门自拍照片,这在谷歌搜索结果中出现,但实际上从未发生过。谷歌正在不断进步,但这是一个持续的过程。
谷歌如何处理员工对公司政策的抗议?
-谷歌最近解雇了一些抗议与以色列政府云服务合同的员工。谷歌采取这一立场是因为一些员工的行为超出了公司的行为准则,破坏了工作场所的生产力,或者以让其他人感到不舒服的方式进行抗议。
Outlines
😀 谷歌的中心地位与未来挑战
本段落介绍了谷歌作为互联网的中心,在过去二十多年里对人类生活的各个方面产生了深远的影响。随着互联网的发展,谷歌可能不再是人们寻找答案的首选地,这带来了新的挑战。谷歌CEO桑达尔·皮查伊(Sundar Pichai)在领导谷歌及其母公司Alphabet时,正面临一个关键时刻。皮查伊通过将人工智能(AI)融入公司业务的每一个角落,精心制定战略。然而,微软和OpenAI的聊天机器人ChatGPT的出现,对谷歌的领导地位和文化相关性提出了挑战。尽管如此,皮查伊认为这种狂热只是长期游戏的一部分。
🤖 AI技术在谷歌的广泛应用
在这一段落中,皮查伊讨论了谷歌如何将AI技术融入其产品,并应对由此带来的挑战。谷歌的竞争对手使用的核心技术——变换器(transformer),实际上是由谷歌的研究人员发明的。皮查伊表示,尽管谷歌在这一领域有先发优势,但他认为AI的发展还处于早期阶段,并且谷歌有机会通过生成性AI和Gemini系列模型做得更好。他还强调了谷歌搜索与其他产品的不同之处,即在提供答案的同时,始终链接到各种来源,即使在使用生成性AI时也是如此。此外,皮查伊还提到了谷歌在广告业务上的收入,以及如何平衡广告和搜索结果之间的关系。
🌐 谷歌的全球视野与AI挑战
这一段落探讨了谷歌如何在全球范围内提供服务,并处理与AI相关的挑战。皮查伊提到了谷歌在生成AI内容时犯的错误,例如生成了不准确的图像,他承认这些错误并表示谷歌将对此负责并纠正。他强调了在全球化的背景下,如何正确地为全球用户群体提供服务是一个挑战。此外,皮查伊还讨论了AI生成的内容对搜索结果的影响,以及如何区分真实和合成内容的重要性。他认为,这将是未来十年定义搜索的关键因素。
🚀 谷歌的创新文化与未来方向
在这一段落中,皮查伊讨论了谷歌的创新文化,包括对员工的开放辩论和透明度的重视。他还提到了谷歌在处理员工抗议以色列政府云服务合同时所采取的立场,强调了公司的行为准则和对工作场所生产力的保护。此外,皮查伊还谈到了谷歌在疫情期间的增长,以及如何通过裁员和重组来专注于公司的首要任务。他强调了谷歌在AI领域的创新和竞争中保持领先地位的重要性,并表示谷歌将继续投资于AI研究,以推动下一代技术的突破。
🌟 谷歌在AI时代的机遇与挑战
这一段落中,皮查伊讨论了谷歌在AI时代面临的机遇和挑战。他强调了谷歌在智能手机和可穿戴设备等领域的AI创新潜力,并提到了与中国在AI安全方面的全球合作框架的重要性。皮查伊还谈到了人工通用智能(AGI)的概念,并表示谷歌致力于以大胆和负责任的方式取得基础进展。他承认AI系统可能永远无法完全透明,但认为AI将帮助我们更好地理解复杂系统。最后,皮查伊提到了谷歌面临的最大威胁是执行不力,并强调了保持警惕和创新的重要性。
Mindmap
Keywords
💡人工智能
💡谷歌
💡Sundar Pichai
💡ChatGPT
💡AI-first
💡谷歌 Lens
💡搜索引擎
💡AI生成内容
💡Transformer
💡Alphabet
💡监管压力
Highlights
谷歌作为互联网的前门已经二十多年,但现在有了更多的门。
谷歌CEO桑达尔·皮查伊(Sundar Pichai)在微软和OpenAI的挑战下,正处在一个关键时刻。
皮查伊将人工智能(AI)注入谷歌业务的每一个角落。
ChatGPT引发了谷歌的红色警戒,并在全行业引发了自互联网泡沫以来对AI的狂热。
谷歌的AI策略是长期的,皮查伊认为当前的狂热只是其中的一部分。
谷歌的面试问题非常出名,皮查伊回忆起自己在2004年愚人节加入谷歌的经历。
谷歌最近一个季度的业绩非常出色,股价大幅上涨。
皮查伊认为谷歌正处于创新非凡十年的开始阶段。
谷歌的AI技术正在改变人们获取信息的方式。
谷歌的竞争对手使用的核心技术——变换器(transformer)是由谷歌的研究人员发明的。
谷歌正在使用生成性AI和Gemini系列模型来改进其产品。
皮查伊认为谷歌搜索的独特之处在于它总是链接到各种来源。
谷歌正在努力解决AI生成内容的质量控制问题。
皮查伊认为AI技术的发展不会达到一个平台期,谷歌正在投资下一代突破性技术。
谷歌的领导风格被描述为缓慢、稳定和谨慎,皮查伊认为这种风格有助于公司长期发展。
谷歌正在重新分配资源,以专注于其最高优先级的项目。
皮查伊认为,谷歌在AI领域的竞争中,通过不断创新来保持领先。
谷歌正在考虑如何在全球范围内应用AI技术,并与中国就AI安全等重要问题进行合作。
皮查伊认为,谷歌致力于以大胆和负责任的方式向通用人工智能(AGI)取得基础进展。
皮查伊希望未来的AI技术看起来像现在的触摸屏一样普通,这表明谷歌在AI领域取得了成功。
Transcripts
We are in the Plex.
This is the center of Google.
Gosh, it's hard to remember life before Google.
It changed literally everything.
How we live, how we work, how we communicate,
how we get literally anywhere on a Googly colored bike.
Google has been the front door of the internet
for over two decades,
and now there are so many doors.
Google may not be the first place you go
for answers anymore,
so what are they gonna do about it?
Hello.
Hi, Emily. So good to meet you again.
Good to see you again.
Thanks so much for having us here.
Oh, likewise.
I'm glad you chose a sunny day to come on campus.
It's beautiful.
Sundar Pichai is at a pivotal moment.
He's the CEO of Google
and its parent company, Alphabet,
rising to the top after proving his medal
as a talented product leader and peacemaker.
He runs a tech giant
that functions more like a micro country,
overseeing businesses as consequential as YouTube,
DeepMind, Cloud, and, of course, Search.
Pichai has been carefully crafting a strategy
that infuses AI into every corner of the business.
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.
ChatGPT set off a code red at Google,
and an industry-wide fever pitch over AI
not seen since the dot-com boom.
But for Pichai, the frenzy is just part of the long game.
I saw it's your 20th anniversary.
That's right.
It was last week. It crept upon me.
Are you coffee or tea?
I'll go for coffee.
How about you? I'm gonna have a green tea.
Does it feel like you've been here for 20 years?
Not quite.
You know, time flies by.
You know, I had my kids right when I started Google too,
so the whole thing just flew by.
Google is famous for those
out-of-the box job interview questions.
Do you remember any of yours?
Like, did you have to figure out
how many golf balls fit in a school bus
or something like that?
Thank God. No.
You know, but, you know, I remember very, very clearly
I interviewed on April 1st, so it was April Fool's Day 2004.
There was rumor.
I didn't know whether it had actually happened,
but Gmail apparently had launched.
So all my interviews were about Gmail.
People wanted to know what I thought of the product.
And it definitely wasn't a joke? They launched it.
They actually launched it, yeah.
But I never allow,
no products on April Fool's Day.
I think it's too confusing.
You just had a blowout quarter.
The stock jumped more than it has in a long time.
Did that feel like a little bit of vindication,
or, as they say in cricket,
was that the bat talking?
In many ways, you know,
it felt we worked very hard to set up the company for that.
You know, in 2016, one of the first things I did as CEO
was to say the company should be AI first.
To me, we are just getting started
in the beginning of what I think
will be a extraordinary decade of innovation,
and so I'm incredibly excited about it.
AI has been around for decades,
but it seems like everything is happening everywhere,
all at once.
How do you make sense of the frenzy and the scale?
All tech cycles are this way, right?
You know, the-
But this one feels different.
It feels bigger. Is it?
It is bigger.
We still have long ways to go,
but we are in the early stages of that.
And so, you know,
you're gonna feel that excitement, that frenzy,
but I think we are prepared for it.
So you kind of roll with the flow.
You embrace it.
How are you and your kids experimenting with AI at home?
We use Google Lens for homework.
I don't want to get 'em in trouble,
but the class allows you to do that.
But sometimes he asks me for help on math.
I dunno.
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.
You grew up in Chennai in India.
What was it like at the kitchen table?
Like, what got you here?
My parents always emphasized, you know,
learning and knowledge,
and it's worked in some ways, Google with its mission,
it always resonated very deeply with me.
You know, I felt this quest
for learning knowledge, et cetera.
It's what the company is about, too.
I grew in a middle-class family.
I perceived our life through the arrival of gadgets.
We waited five years for a telephone.
It was a rotary phone,
but when it came to our home,
you know, it changed everyone's lives.
I remember getting our first television
and suddenly being able to watch sports.
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 uphill.
But then, after many years, I got a bike with gears,
and, like, I'm like, "Wow, this thing make, you know,
what a dramatic difference."
I never took technology for granted.
And so that's what, you know,
always been optimistic
about how technology can make a difference.
You've been CEO now for a decade.
How have you changed in that time?
I think the main thing is when you've done it for a while,
you know, you get to understand patterns,
so you're running into something,
but there's a sense of deja vu,
you know, you've seen it before.
And so I think that helps you kind of pattern match
and deal with it more effectively.
But a lot of this is, you know,
this scale, you have so much coming at you,
there's a lot of noise, and most of it doesn't matter.
So the ability to separate the signals 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.
I heard Sergey is back and working a bit on AI.
What is the involvement of Larry and Sergey these days,
and what advice are they giving you?
I talk to them regularly.
Sergey is actually spending more time in the office.
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 lost curves as we train these models.
I think one of the advantages they have
is they're not caught up in the day-to-day.
And 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 run something at this scale.
The decisions Pichai and Google make
influence how billions of people get information.
And the nature of how users do that
is starting to change in the age of AI.
This seems like a threat to Google,
except the core technology being used
by Google's competitors was invented by Google itself.
Google researchers invented the transformer,
literally the T in GPT.
Do you wish you capitalized on that louder and sooner?
We use transformers in Search.
That's what led to large gaps in Search quality
compared to other products.
So we have infused transformers across our products.
We have a chance to do that better with generative AI
and with the Gemini series of models.
And there's gonna be more breakthroughs in this field.
But what is more important is we are driving that progress.
And if the new Google is only gonna be more and more AI,
you know, AI is super helpful sometimes,
but sometimes it's still deeply wrong.
Where do you draw the line?
I think part of what makes Google Search differentiator
is while there are times we give answers,
it'll always link to a wide variety of sources.
Now we've had answers in Search now for many, many years.
We are just now using generative AI to do that.
So the links will live on.
Yes, and, you know,
I think it'll always be an important part of Search.
There will be times when they want quick answers.
My son is celiac, so we did a quick question
to see whether something is gluten-free.
We just want to know.
But often it leads to more things,
and, you know, then you want to explore more.
I think understanding that, meeting all that needs
is part of what makes Search unique.
Some leading computer scientists
have said Search is getting worse, more SEO spam, et cetera.
Do you see their point?
Anytime there's a transition,
you get an explosion of new content,
and AI is going to do that.
So for us, we view this as the challenge,
and I actually think,
you know, there'll be people
who will struggle to do that, right?
So doing that well
is what will define a high-quality product,
and I think it's gonna be the heart
of what makes Search successful.
You make a ton of money on ads
next to the links generated by searches.
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?
So we've always found people want choices,
including in commercial areas,
and that's a fundamental need.
And I think we've always been able to balance it.
As we are rolling out AI or views in Search,
we've been experimenting with ads,
and the data we see shows that those fundamental principles
will hold true during this phase as well.
The images that Gemini initially generated of Asian Nazis
and Black founding fathers,
you've said that was unacceptable.
If you look at any pictures of the founding fathers,
you're seeing old white men.
People are calling this woke AI,
and it's not just happening here,
it's happening across the industry.
How did the model generate something that it never saw?
We are a company
which serves products to users around the world,
and there are generic questions.
For example, people come and say,
"Show me images of school teachers,
or doctors, or nurses."
We have people asking this query from Indonesia
or the US, right?
How do you get it right for our global user base?
Obviously, the mistake was that we overapplied,
including cases where it should have never applied.
So that was the bug,
and, you know, so we got it wrong.
Would you say it's like good intentions gone awry?
In this particular case, yes, right?
I think, you know, we are rightfully held to a high bar,
and I think we clearly take responsibility for it,
and we are gonna get it right.
How concerned are you
about AI-generated content ruining Search?
For example, the AI-generated selfie
of the tank man in Tiananmen Square.
It shows up in Google search results, but it never happened.
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 gonna be a lot of synthetic content?
I think it's part of what will define Search
in the next decade ahead, right?
People often come to Google right away to see
whether something they saw somewhere else actually happen.
It's a common pattern we see.
We are making progress,
but it's gonna be an ongoing journey, right?
You've got AI systems
that are running out of training data.
You've got companies turning to AI-generated data
to train their models.
Aren't there risks to that?
Yes.
I think that, you know, through it all,
are you creating new knowledge?
Are these models developing reasoning capabilities, right?
Are you making progress in the intelligence of these models?
I think those are the frontiers we need to prove that,
you know, you can do that by using these techniques.
Is LLM technology nearing a plateau?
I would be surprised
if LLMs are the only thing we would need to make progress.
We are investing a lot of computing and resources.
Our AI research is talent
in driving the next generation set of breakthroughs.
It seems, when you look at the big picture,
like Google missed the big moment, and ChatGPT took it.
A new artificial intelligence program called ChatGPT
made its debut online.
It's as revolutionary as the internet.
The topic of today's big take is also Microsoft,
and it's big bet on AI
and how it just kind of leapfrogged over Google
and no one kind of knew about it until now.
If you could go back,
what would you do differently?
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?
So we were in the first company to do search,
we were in the first company to do email,
we were in the first company to build a browser.
So I view this AI as,
you know, we are in the earliest possible stages.
Your leadership style has been described as slow,
and steady, and cautious, sometimes maybe too cautious,
and you're often compared to these other tech leaders
who are moving fast and breaking things.
How would you describe yourself?
Look, the reality, I think, is quite different.
One of the first things I did when I became a CEO
was to pivot the company sharply to focus on AI
as well as really invest more in YouTube
and Cloud to build them into big businesses.
I think the larger the company is,
you are making fewer consequential decisions,
but they need to be clear,
and you have to point the whole company to that.
Part of that, at times, involves bringing the company along.
You build consensus
because that's what allows you to have maximum impact
behind those decisions.
I mean, any leader in a position like yours
has to be willing to hear the criticism.
And I'm not gonna make you read the mean tweets
like they do on "Late Night,"
but I do have a few.
"Where is Google?"
"Running things through legal."
"Google doesn't have one single visionary leader,
not a one."
Do you think you're the right person to lead Google?
Look, it's a privilege to lead the company.
You know, people tend to focus in this micro moment,
but it is so small in the context of what's ahead,
and, you know, when I look at the opportunities ahead
across everything we do,
and for the first time,
all of that has a calm and leveraged technology with AI.
You know, I put a lot of chips,
at least from my perspective on Google.
So can you walk through campus without getting stopped?
It's definitely been nice to walk
and see people, you know, so I enjoy it a lot.
I see a dinosaur statue in the distance,
which I think is a good reminder.
Like, how much do you worry about becoming a dinosaur
in a world where technology is moving so quickly?
I mean, in technology, I think,
if you don't innovate to stay ahead,
I think that's the inevitable fate of any company.
No dinosaurs? Not yet.
Well, they were great,
but you know, you don't want,
you don't want to have the same fate.
How much has this AI moment forced you to move
and think differently?
Because it does seem like you're playing defense sometimes.
We have been preparing for this for a while.
You know, a lot of the foundation
of breakthroughs in the field came from Google.
So to me, this moment has been over the past year,
really channeling the company to meet the moment.
There they are. The I/O tents.
I/O tent.
For one time a year,
we get to pretend as if we are on a concert stage,
except we are speaking about technology.
So Google I/O is sort of a state of the Google Union.
What is the key message this year?
It's less about, you know, particular product,
more about the journey we are on,
the vision we have for how AI can transform our products,
and how we can bring it.
Alphabet used to be thought of
as this collection of moonshots,
but a lot of those projects have been spun off,
or folded back into Google, or shut down.
How should we think about Alphabet today?
What is the new Google?
When we think about both across Google and Alphabet,
the underlying bet is the same.
You're going to invest in deep technology
and computer science
and apply it to solve problems for people.
So I think that part doesn't change.
When you take big, large-scale bets,
by definition, you're not aiming big enough
if you don't have a few failures.
When you go back to the S-1,
Google said, "We're not a conventional company.
You can spend 20% of your time on personal projects."
Google created this bottoms up culture
where everyone has a voice, and it's super transparent,
and the perks are great too.
But did it go too far?
Like, did it become an entitlement culture?
Part of what makes Google unique is, I think,
there is a culture of vibrant, open debate.
And so I think it's super important to preserve that.
I think we are also a company
where employees have many ways to speak up,
and I think that's made the company better.
Google, Google, you can't hide.
Google, Google, you can't hide.
You recently fired Google employees
who were protesting this contract
with the Israeli government for cloud services.
It seemed like a distinct change in tone for a company
that's historically welcomed all kinds of views.
Why did you take this stand?
I think when we have cases, including in this case
where a few employees, you know,
cross beyond what's in the code of contact
and disrupt the productivity of the workplace,
or do so in a way
that it makes other people feel uncomfortable,
I think we have to take action,
and that's what we are doing.
It has nothing to do with the topic they are discussing.
It's about the conduct of how they went about it.
Over the past years, through the pandemic,
the company has grown a lot.
There are a lot of new people.
I view, particularly in this moment with AI,
the opportunity we have ahead of us is immense,
but it needs a real focus on our mission.
There have been multiple rounds of layoffs.
Why take this approach?
Why not cut once and cut deep?
We are reallocating people to our highest priorities.
There are cases where you're simplifying teams,
you're moving people to focus on newer areas,
removing layers so that you can improve velocity.
So that's why we have taken the time
to do it correctly and well.
Microsoft is obviously making huge investments
in AI as well.
OpenAI, Inflection, Mistral.
We've reported that their OpenAI investment
was actually in part because they were worried about Google
and wanted to catch up.
How do you feel about the competition?
I've always held a view
if you're working in the technology space,
there is a lot of competition.
We see it all the time.
The way you stay ahead is by innovating relentlessly.
It has to be true all the time.
It's happening at a faster pace.
But, you know, technology,
changes tend to get faster over time,
so it's not surprising to me at all.
Microsoft CEO Satya Nadella has had some fighting words.
I hope that with our innovation,
they will definitely want to come out
and show that they can dance.
And I want people to know that we made them dance,
and I think that'll be a great day.
Who's really choosing the dance music?
I think one of the ways you can do the wrong thing
is by listening to noise out there
and playing to someone else's dance music.
I've always been very clear.
I think we have a clear sense of what we need to do.
So you're listening to your own music.
That's exactly right.
Google is facing a ton of regulatory pressure
in the US, abroad, over your dominance in Search,
video, ads, the app store.
Some other big companies have split themselves up
to focus on their core.
Has Google thought about that?
A lot of our products integrate in a way
that provides value for our users.
So I think that is important.
Part of what allows us to compete
in the Google Cloud market is our,
the investment in AI we undertook
because of Search is what allows us to take that
and compete hard against other larger companies,
like Amazon and Microsoft, in Cloud.
So I would argue
that the way we are approaching it drives innovation
and adds choice in the market.
What do you think is the future
or potential of AI-powered hardware,
and what will Google's role in it be?
I think with AI,
you get a chance to rethink
that experience over the next few years.
I still see the center
of where the AI innovation will happen in smartphones,
followed by glasses, right?
That's how I see it.
Last time we talked,
you told me China will be at the forefront of AI.
How should policymakers factor that into their decisions?
I think over time we need to develop frameworks
by which we achieve global cooperation to achieve AI safety.
I know it sounds farfetched now,
but we've done it in other areas,
like nuclear technology and so on, to some extent.
I think we are gonna need framework like that.
And so I would expect, over time,
there needs to be engagement with China
on important issues like AI safety.
Artificial general intelligence.
What does it mean to you?
Do we get there and when?
It's not a well-defined phrase,
it means different things to different people.
But I think if you define AGI as AI becoming capable
across a wide variety of economic activity
and being able to do it well,
I think that's one way to look at it.
So Google's gonna get us to AGI?
You know, we are committed
to making foundational progress towards AGI
in a bold and responsible way.
And so, you know,
I'll focus on the effort to do that and do that well.
You've said there's even some things about AI
that you don't understand.
Will AI always be somewhat in a black box?
I have a little bit of a counterintuitive view there.
I think, you know, humans are very mysterious, too.
Often, when people explain why they did things,
you know, they're telling something,
it's not entirely clear.
Today, we can't make sense of many complex systems.
AI will give us more insights
and more visibility into many complex things.
When I asked OpenAI CEO Sam Altman
why we should trust him, he said.
You shouldn't.
Why should we trust Google?
Well, I share the notion that no one,
you shouldn't blind lead, you know?
That's why it's important to have systems in place.
Regulation has a part to play, you know,
test balance innovation.
But as these AI systems get more capable,
it shouldn't just be based on a system
of trust people or trust companies.
We've talked a lot about the opportunities.
What is the biggest threat to Google's future?
I view for all companies,
particularly, you know, at scale,
you know, the biggest threat is not executing well.
Is there a healthy dose of paranoia?
Like not becoming Stan the T-Rex out there?
I think that, you know,
there's a part of me which has always internalized, I think,
the old Andy Grove phase, "Only the paranoid survive."
That is important.
And I think this moment is no different.
Are we gonna look back on this LLM era and laugh?
Like, is this gonna all look so basic and rudimentary?
I hope we do because that shows, you know,
you know, my kids aren't impressed by touchscreens
or the fact that they have this extraordinary amount
of computing in their hands.
So similarly, you know,
there's no reason we wouldn't scale up
our computing a hundred thousand times in a few years.
So, yes, you know,
I hope some of this looks like a toy in the future.
I hope it is that way, otherwise, we didn't do our job well.
Thank you so much. That was so awesome.
She's more difficult than any AI to deal with, right?
Oh, man.
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