Practice English Speaking&Listening with: Eric Schmidt at DLD

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>> What a special moment for DLD. >> SCHMIDT: Really. Stef, is it?

>> Since many years we worked on you. >> Yes, yes. Thank you.

>> Now, we succeeded. Last time in Abu Dhabi, wasn't it?

>> SCHMIDT: Yes. Yes, of course. >> And you said you'd come.

>> SCHMIDT: Yes, I did. >> It's a man of reality.

>> Okay. Thank you. >> No, I think it's great. When the news was

out that you would come, you know, that was really so big. It went through the DLD community.

>> SCHMIDT: I haven't actually done anything yet. Okay. Good.

>> I think we'll just give you the floor now. >> SCHMIDT: Okay. Thank you.

>> Listen to you. >> SCHMIDT: And I think we'll have questions...

>> What you have to tell then you said you would be open to--for questions after your

talk. That's great. >> SCHMIDT: Why, thank you. Thank you--thank

you guys so much. Thank you very much. I want to take a moment to praise Dr. Berta. And

I think your whole family I've now met for what you have accomplished with this event

and what you have accomplished in Europe and in technology in general. I don't know of

a more--a better done invitation-only event that draws the mixture of talent and IQ from

around the globe as the one you have founded. So my congratulations to you. Okay. And your

wife and family. Good. Thank you. Thank you. I hope you do this for many, many, many years

to come. The--I have a lot of things I wanted to talk about. I wanted to start by making--I

have a real talk to talk about--but I wanted to make an important announcement about Google.

You know, we had a very, very good year and a very strong quarter, and so forth. We looked

in this year and in particular, in our prospects for growth in Europe, and our businesses globally

are doing well. Both our core businesses as well as our adjacent businesses, our hockey

stick businesses as we call them, it's all very, very good. And as a result, we've decided

to make some pretty significant investments and I'm very happy to announce that we're

going to add more than a thousand employees in Europe this year. We are going to invest

in Europe. To give you an example, we're going to invest hundreds of people in Germany and

we have a very large Munich engineering center which is incredible technology which we're

also going to be expanding. So it's a nice, nice--it's a good--it's a good reason to be

in Germany, it's a good reason to be here. I think all of you understand the German miracle

and the sort of tremendous success of the country and what they have been able to accomplish.

And we're going to continue to invest for all of those good reasons. What I really would

like to do is to talk about the next--the next decade and how technology and the world

we live in will change. And I'm very, personally, excited about my next decade at Google. I

think it's even going to be better than the last decade at Google. So, from my prospective,

this is a pretty good plan, right? And this is what I want to work on and I have a feeling

that all of us are going to be working on this together. And what's interesting about

this new model is everything is changing again. And I've absolutely become convinced that

we're getting to the point where technology is finally going to actually serve us. In

my whole career, I felt like I was serving the technology. It was always me who had to

fix the computer, right? Everybody here can relate to that. And I think finally now we're

going to get to the point where the technology does what we want and that's what I want to

talk about. And so let me suggest a happiness theorem that computers will finally make it

possible for us to do the things we actually want to do, right? So to be with other people,

right? People you love, people you care about, people you enjoy. To find happiness in general

and to make the world a better place. There are lots of examples of this. There's a company

called Ushahidi which is crowdsourcing information around the globe. They start--in fact, they're

here. Raise your hand. Yes. The--And what's interesting about them is they started off

in Kenya basically around disasters. But the principle--the underlying architecture of

using crowdsourced information is incredibly powerful because people know what's going

on in their environment. And we can finally collect that information and use it to figure

out what's really going as opposed to what people think is going on. There are lots and

lots of examples; Haiti, Russia, clean-ups in New York and Boston, the Snow, and so forth

and so on. Another example has to do with the use of telemetry in medicine. There are

projects now to take, essentially real time monitoring as you would know it, and put it

on mobile phones. It's obviously better to have your phone monitor your vital signs if

you're an ill person or even if you're person worried about some medical thing, than anything

else because your phone is always on and always with you, right? It makes perfect sense. This

is a material change. It has a huge impact on the cost structure of medicine, quality

of care, all those kinds of things. You know, and you could it with all sorts of ways; you

could do it with wireless sensors, you could do it with touch sensors, and so forth. All

of those things are in development. It's interesting that another--a developer for Android developed--a

single developer developed glasses for Android where you basically put them on and it translates

what you see in the Android camera into the way that people who are color-blind see color.

So literally, looking through the camera, they can see color that they could not before.

I didn't even think this was possible. There are so many examples when you take computing

and you take the perspective that it's supposed to serve us. Now this is accelerating and

it seems like it's accelerating faster and faster and faster and faster fundamentally

because technology underneath is accelerating because of all sorts of interesting network

effects and they are sort of three that I wanted to talk about. In the area of mobile,

the smartphone is more than the iconic device of our time. The smartphone is the device

of our time. And smartphones in all forms including--and I'm including tablets here

in one way or the other, there are all sorts of examples of this. You know, everybody has

a simple example. If you have a child, your child is asleep or online. There are only

two states of children now, right? Right? I don't think--and in fact if they wake up

in the middle of the night, what do they do? They're online. You check. Trust me, it's

true. They're doing whatever children do online at their appropriate ages but you get the

idea. And it's interesting that in two years, smartphone sales will surpass PC sales. The

growth rates are faster. It's a larger market, all of that kind of stuff. And what's interesting

is that we've been tracking the mobile Web and the mobile Web is growing eight times

faster than the equivalent PC desktop Web at the same point in its history. So not only

is it growing fast, it's growing faster, and it's coming at us faster. At Google, we see

this in our own data, you see it in the sense of excitement and mobility and activity and

startups and all the people who came here at the conference. And one of the things that

has its implication is that most people will now find--the majority of humans will get

themselves online with a mobile device, not with a PC. And this is beginning to be true.

Just as it was true 10 years ago, that you could see that the average person would not

have a landline, they would just have a mobile phone to talk. For the same principle, they're

now not going to have PCs, they're going to have mobile devices of one kind or another,

that are tethered to that information using them for all the obvious reasons. And if--and

if you think that, you know, you think you like your mobile phone, imagine a person who's

never had a computer at all and they get a modern smartphone connected to an overloaded

local area network. Think about what that does to their ability to--the change, just

the binary change of information from the local context of a--you know, their village

to literally all of the world's information. So this mobile revolution which I call Mobile

First, right, the simple guideline is whatever you're doing, do mobile first. And what I've

noticed is that the top developers, the smartest young--typically youngster--typical young

firms, they're doing mobile things first. They start with the presumption of connectivity,

location, and locality and interaction in a way that my generation never foresee--never

foresaw. And it terms of pervasive connectivity, another trend I want to highlight, the mobile

computing is going hand in hand with this amazing amount of data network that we have.

And what's interesting, I would argue that devices that are not connected to the internet

are not interesting anymore. All right, so you have one of these sort of stored music

players, not very interesting. Take the same stored--same stored music player, connect

it to a WiFi network to a music server of one kind or another and all of a sudden, it's

incredibly interesting. So take every single device you know that has some form of a CPU

in it and start thinking, "I want it connected to my WiFi network," and that's one way to

think about the next few years. And the networks, by the way, the telcos who are spending, you

know, gobs and gobs of capital are now fundamentally deploying a next generation of network called

LTE, for Long Term Evolution. To rate it at 50 megaberts--megabits, the measured performance

is between 8 and 10 megabits and I think that's a realistic expectation. For those of you

that are working on 3G networks, you'll typically get about a megabit. In Europe, you'll get

two, in the U.S. you get one because the U.S. is always half of Europe, but you get the

idea. It's on the order of an order of magnitude improvement and the LTE standard, again, developed

here and in Sweden, the combination of two will roll through the rest of the world over

the next year or two. And amazingly, the United States is also going to be getting this. So

for me, I remember thinking, "If I could just have a pervasive one megabit, I would be happy."

All right, I remember spending years thinking, "All I want is one megabit everywhere I go,"

and the reason is because I wanted to be able to do my email with some speed and handle

all those attachments people send me. Make--it makes sense. Well now, I want my 10 megabits.

What can I do with my 10 megabits? Interactive video. Reasonably compressed, reasonably real-time

interactive video. And there are technologies being developed which will allow, for example,

automatic transcoding and all the other things that are necessary to make that kind of videos

seamless, and so forth and so on. It's all happening in the next year. What's interesting

by the way, is Germany, since we're here in Germany, is really the leader in LTE deployment

here in--here in Europe. And it will be the first European country to have LTE on the

800 megahertz spectrum which is indeed one of the, sort of, core spectrum that everybody

uses. And one of the interesting estimates is that there's about 35 billion devices now

connected to the Internet, no one really knows, because if every device gets connected to

the Internet, we'll stop counting which is where we're going. The third component I wanted

to talk about had to do with cloud computing. Now I talked about the mobile devices and

everybody talks about their mobile devices, but they're--what--they never give credit

to the backend of the infrastructure guys, to the servers that are doing all of that.

But it goes hand and hand, a typical example. So we've just launched a voice translation

product that allows you to go--to speak in your phone, in your language, and it comes

out of somebody else's phone in another language. Oh, my God. Does this actually work? So we

test it with our--with our employees who speak multiple language and it seems to work. And,

you know, it's the old thing of when you see something which is magic and of course, you

know, it really isn't magic, you have to say like, "How did this happen?" It really is

a "wow" moment. So how it actually works is when you talk to the phone, of course, there's

a--there's a computer inside the phone which digitizes your voice, and it doesn't do very

much. It just sends your voice to some servers. How many servers? Hmm, about 1,000, which

you didn't pay for which is a separate discussion. It sends it to 1,000 servers and what do they

do? They vote, right? They vote in a complex way and they say, "What do we think this thing

is? We think it's English. We think it's an English speaker. We think we understand the

structure of English," they turn it into text. Then they send it to another set of computers,

those computers say, "Ha, this is English text. We know how to translate from English

text to German text." And then they send it to another set of computers which take German

text and they get it ready to send it to the other fellow's phone. Now how long does that

take? Less than a blink of an eye, that's what's so amazing. And does it work on every

language? It will eventually work on 100 by 100 and it requires relatively little training.

And it's done using statistical machine translation, so it scales. And it works against any language

because of all the things that we know about language. To me, we've talked at years-- I

mean you think about words that have been started because people couldn't communicate.

Right? Now, finally, at least we have a shot at miscommunication through digital translation,

right? But at least people will be talking and trying to appreciate the differences in

their scenarios. Another example, here, in Munich, you take a picture of the--of the

famous church, your phone tells you the name of the church and where you are. How does

it do that? Well, it takes picture, digitizes the picture, sends it to a set of computers.

What do they do? They vote. Okay. "Is this a picture of an animal, mineral, or a vegetable,"

right? "Ah, looks like a building. Looks like a landmark," so forth and then they do a--sends

you an image map to pictures of things and they look--do a conformal mapping to what

the image is and then tell you what it is. It works remarkably well. It works really

well in a lot of things. So all of a sudden, it's not just the phone, but the phone in

all those supercomputers together on this pervasive network. And that's cloud computing

in the way that we will all experience it. So you could do other things. You know, you

can take your phone and you can virtually ski downhill from--in Vancouver on the Olympic

runs and it'll set that up for you, so you can have fun. You know, you're bored. You're

sitting at the airport, "I'll go skiing in Vancouver," you know, whatever. You get the

idea. If you want to look at historical imagery of Munich's in the post war reconstruction,

you can go from satellite photos all the way back from 1943 and watch the city get rebuilt

and expand and become the great city that it is today. So the point here is this is

not--this is not just one product. It's the mobile device, it's the network, it's the

platform, it's the software architectures. We can talk about if you're interested. How

you actually build all these software architectures and they're all real now. Now this is not

a new term. Bill Gates talked about it in 1990. He called the information at your fingertips.

His quote was, "Information at your fingertips, all of the information that someone might

be interested in including information, they can't even get today." We've been talking

about this stuff for decades. And finally now, the technology has caught up with the

marketing and division and so forth and so on, and that's what you're seeing. You're

seeing the sort of--sort of generational focus on making this real. So now, of course, we

can digitize everything. So, we, at Google, are busy digitizing Dead Sea Scrolls because

they're worried that some of them are going to literally go away because of that atmospherics.

And if you think about it, computers can give you digital senses that you did not even have;

hearing and speaking and even understanding. So all of a sudden, computers are not the

same as people, but they can really go back to that notion of making our lives or--think

of them as augmented humanity, making us better, making us better humans, making us where we

want to go. It's interesting. These locational Where Apps and everyday there's a surprise,

so the latest one is the location of Where App which when you are walking by, you know,

the street, it reminds you what errand you need based on the stores that are near you.

So, "Oh, there's a dry cleaner to the right," you should be taking your dry cleaner to this.

I mean, you know, one idea after another, something useful for everybody everyday. It's

interesting. This has a political component which is quite significant. A political activist

and blogger in Tunisia who had been arrested two years--two weeks ago happened to have

his phone on and he let people know where he was, which was by the way in prison, using

Google Latitude, obviously not something to joke about. So he was in custody inside the

government building. As the revolution occurred, he was freed. Today, he is a government minister

of that country. That's how fast this stuff changes, and imagine what that did for this

gentleman. There's a--we have a project that we just started in Sudan--going back to this

crowdsourcing notion of trying to sort of crowdsource satellite imagery where you publish

all the satellite images and you let--get people tell you what's really going on. So

something very, very serious, of course, is the--is the Sudan--Sudanese referendum. George

Clooney and a team have organized this project, and what they're trying to do is to monitor

the claims of the competing sides as to what's going on with the respective--amassing of

soldiers. And you might imagine that the claims that are being made by the various government

sides do not completely conform with reality as recorded on our satellite pictures, right.

Very, very interesting. Very, very powerful. Who knows what this will do, but transparency

helps a lot. So, to me, what this says is that there's a new possible definition for

Google coming back to what we do. So what drives us? A simple thing is we basically

want to give you your time back, all right. We want to basically just speed matters. We

want to make search faster. We want to make example after example. We did--I think, Google

Instant. So we just, literally, a few seconds shaved off of the searches that you do, we

figured out that it--two to five seconds was like, you know, 100,000 man years in the world

or something like this. So, again, small changes like that have huge implications towards the

people's time; now available, by the way, in 40 countries. We did something called Instant

Previews where when you mouse over, you'll see previews or all the pages. This requires

huge amounts of computation, by the way, which, again, fortunately, we have. And, again, that

saves you just that extra half second of trying to figure out what you care about. So where

does it go? Well, I think it becomes more personal. And, by the way, I need to say about

a 100 times more personal with your permission, all right. It's very, very important to understand

the boundary of anonymity and personal, and the right choice, of course, is to let you

decide where that boundary is. So an example would be, with your permission, right, integrating

personal context, personal emails, personal network of people, and all your relationships

to them, again, with your permission. So imagine--since they--since now I've given permission to Google,

permission knows who I am as I wander the streets of Munich, my phone is the perfect

walking companion. It knows where I've been, it knows what I care about, it suggests things,

I happen to like airplanes and so it says, "Did you know that there's a Hansa Jet here

at the local museum? You would like that." Talk about personal service, pretty interesting.

And it can also understand what I mean. When I say, "What's the weather like?" Am I saying,

"Should I wear a raincoat?" Or am I saying, "Do I need to water the plants?" So you can

go from syntax to Symantec, from words to meaning if you know more about the person

with their permission, with them signing into it. And so the sum of that is that search

continues to be very important, and in a mobile opportunity is just as large. The Android

platform which you all know about is selling more than 300,000 activations per day. That

number is growing very--is growing very quickly and the current number is quite a bit higher

than that and it's--the number, so you know, are 145 devices, 27 OEM partners, 169 carriers

in 96 countries, so it's very much a global phenomena. What's interesting is that the

device searches that we see have grown by a factor of 10 on Android in one year. It

shows you how powerful this model really is. Chrome, people know about the Chrome browser

and you may have used that, getting a lot of momentum, has more than a 120 million active

users up three times in the past year, again, growth rate faster than everybody else. And

the release is also six times faster than the one that we released two years ago. So,

again, you have a combination of speed and reach which we think is how these platforms

get--get things. And what's interesting about the browser--why am I talking about browser

in the context of this revolution? A deeper integration with the browser allows for more

autonomy. Historically, the browsers--the browsers that you all use are not full pledged

platforms that we would like them to be, but there have been technical breakthroughs in

the software architecture which allow you now to build extremely powerful dynamic applications

that are browser resident. The technical name for this is called HTML5 and there's a set

of libraries and so forth that are now being broader than the industry. So it's true for

all of the browser uses and all the browsers that adopt HTML5. A few more things about

how this plays out. I talked about technology and people, I haven't talked about money.

The other component of course of these is the large markets and large, in our case,

advertising markets that can be aggregated. It's interesting that YouTube, for example,

is taking 35 hours of video uploaded every minute. Think about it. You'll never watch

it. You'll never watch it all. It's hard for us to watch it all to make sure it's appropriate.

More than two billion views per day. But our business is also booming, right? We have something

more than 2 billion monetized views per week in YouTube. At the scale of YouTube, this

is a very large audience business. Our display business, another aspect of our business,

has more than two million publisher partners and is fast on its way to being a very, very

large business for Google. So my point is that you not only do you need to have a computer

architecture, a consumer architecture, and sort of a value that you're offering, but

you also need to have a monetization platform. So let me see if I can this into some context

for how this is going to play out. When you look at innovation and you look at innovation

historically, it's pretty clear that the Internet is probably the greatest disruptor of all

time. It's certainly in the league with some of the key inventions over the last hundred

years. You know, the Schumpeter quote is, "Capitalism inevitably leads to a perennial

gale of creative destruction," right? We all sort of understand this. And the interesting

thing about the internet is it--it has replaced the economics of scarcity with the economics

of abundance. Now the economics of scarcity have to do with the ability to have pricing

power, you hold things back, you restrict them, you have subscriptions, and so forth

and so on. The economics of abundance are that you're everywhere. You're everywhere

all the time and you count it one by one. Now why is this true? It's not some mad plot.

It has to do with the technology because that marginal class of distribution on the Internet

because of this--the compound investment that's been made is so low. And it's going through

industry after industry, after industry, and these are very hard problems. I don't want

to make it any easier. And imagine a situation, I'll give you an example, the Australians

who are very far away, away as a way to understand them, is--and they're a very large country,

have just announced a policy that 93% of the citizens of Australia within the next four

years will have fiber to their home and office. That fiber technically is capable of running

at least a gigabit per second. The 93% has to do with the 7% that are in very rural areas,

it's hard to reach them with fiber. But these--most countries including all the ones we live in,

are pretty city-centric and so you could do this at the cities. What does it mean to have

a gigabit per second connection? It means that every distinction that you think of in

terms of media distribution goes away. HD television, video conferencing, radio, DVRs,

whatever, all of those can be compressed into this single pipe. And it means that all of

those economic models have to be adjusted. They don't go away, it doesn't get to get

or become free or anything, I'm not suggesting that at all, but they have to change. They

are sold differently. They have different economics for the producers, different disintermediation

for various set of the players. And to me, I look this, and this is both exciting and

terrifying, all right? And it's exciting because of the scale. It is now possible to reach

a billion people worldwide literally everyday. And many industries operate where we're going

to have, you know, 100,000 viewers or a million viewers, in the Internet you say, "Well, I

want 50 million users or 100 million users." And in--at Google, people will come in and

say this, and I say, "Do you have any idea how many people that is?" I remember when

getting a 10,000 person audience we were like really excited, right? Shows you the scale

of the world, and one of the great things about being alive today is you can be a truly

global citizen and understand how pervasive humanity, how incredibly rich and interesting

all of us really are. But it's also terrifying because all of this has to do with information,

and information is the most powerful thing of all. And I don't know exactly how society

is going to sort out all the various conflicts that are obvious, and we all know what they

are, whether they are privacy or incumbency or regulatory or so forth, but I do know that

people care a lot about it and that this would the subject of a lot of discussion, a lot

of both political discussion as well as moral discussion, as to the society coming along.

Remember what I just said, if your children are awake, they are online, which means you

don't next exactly know what they're doing. I don't think society has fundamentally figured

out what to do about these things, and we're going to need to as a society. So, I want

to finish by putting this into a context. I believe that we're not at the end of something

but at the beginning of something much larger because of this platform that I've just described.

We understand all of us together, we now understand how to build these large audience businesses

using very powerful technology that's really, really interesting. It's just beginning based

on this platform. It's not ending, which is why I want you to keep doing this conference

for so long, it is because this is just literally the beginning of the implication of this in

terms of humanity, which is I think what you and the people who put this together really

care about. Now, I'm a computer scientist so my position is computer science can help

us a lot. Sort of my bias, I guess. But computer science can solve some pretty big problems;

global warming, terrorism, financial transparency, things that we're all worried about, because

those are information problems at some basic level, right? And that information problems

we can do those at scale, we as computer scientists. So, imagine a future where the following things

are true. And by the way, this is a pretty near future. This is not a long time from

now. You don't forget anything. I forget everything, right? And you don't forget anything because

computers remember everything. They remember, again with your permission, so I have to add

that, where you've been, what you did, they keep your pictures around, so forth and so

on. Did I like that hotel? Yeah, I say they're a little awhile ago, "No, I didn't like that,

I didn't like the food. I like this food over here, I like that memory. Yeah, yeah, that

person was over there. I went to walk over there," on and on and on. It remembers everything,

okay, with your permission. And the other thing is has anyone been lost recently? I

used to love to get lost. You know wandering around, not having any idea where I was, you

know, eventually you get found. It's terrible, you cannot get lost anymore. You know, everyone

here carries their mobile phone. Everyone with a mobile phone has Google Maps or one

of the competitors and you know you know exactly where you are down to the foot. You know we

know--you know your position down to the foot, and by the way, so do your friends, with your

permission. Now, what can you do with that? Well, computers can predict whether you're

going to meet your friend or not as you walk, with your permission. Now, people who loved

the earth can love it much more. I've been surprised at how powerful the Google Earth

phenomenon is in terms of the things that we now can know about the earth. And I think

it's obvious if you think about it, everyone here cares about it a great deal. We have

the ability now to know exactly what's happening everywhere all the time, whether it's geologic,

or people, or so forth, and so on. That's pretty important. So, as we face the various

significant threat of climate change, which we know is real and we have to deal with it

in some way, right, we've got a way of having a conversation that's fact-based. You can

have all the information of the world at your fits--in your fingertips. And the important

thing is it's with--in your own language, right then and there. It's never been possible

before. So, I didn't quite understand how powerful that was until you saw the development

of what is--Wikipedia which is sort of one of the great, great inventions of mankind

now and all of the ancillary services that we all use. By the way, you know what to pay

attention to right now because we'll help you sort it out, knowing what you care about,

because there's so much stuff coming at you. We can help suggest this, suggest that as

you wish. You're never lonely, right? When you're traveling, you're never lonely, right,

because there's always somebody to talk to online. Your friends travel with you now,

on your instant messaging and status, Facebook, and what have you. There is always somebody

to speak to and send the picture and, you know, "Here I am," you know, "running around

at the DLD conference," or whatever and to post about. And by the way you're never bored,

right? So, not only that you're never no--lonely, you're never bored. Instead of wasting time--television

or time--wasting time watching television, you waste your time being online, right? And

time wasting is a well-known human activity that we all engage in. Games, movies, videos,

and of course we can help you choose which ones you want. And you're never out of ideas.

In fact, we can suggest based on what you do, and again, what you care about and with

your permission, what you could do next, where you could go, some new ideas for you, imagine

a world's calendar of events all there. And by the way, what is this about this car thing?

It's amazing to me that they let humans drive cars. These things are very, very dangerous.

Don't you think computers should drive the cars where the human's sort of watching their

computer? I mean, think about it. We've done this. We did--we took seven Priuses which

we sort of modified without a lot of permission and drove them over 1,000 miles, right, with

a person sitting there with a button in case this--there was a software bug, which there

was not. And now, in Germany there's a problem with our approach because the software engineers

won't let the car go faster than the speed limit. So, I don't know how we're going to

do on the autobahn but the fact of the matter is that it makes more sense to have the autopilot

in the car via computer that knows the map, sees what's real time is going on, and let

the humans sort of monitor it. More people will be alive. This is a pretty important

thing in the world. And what I like the most about this, if you sort of sum, you know,

you're never lonely, you're never bored, all of the information at your fingertips, this

is not a vision of the elites. Historically, these kinds of technologies have been available

to the elites and not for the common man. And if there was a trickle down, it would

be a generation or a decade or, you know, 100 years. Information is historically been

kept to the elites for various reasons; hard to get at, difficult to understand, and so

forth. This is a vision that is accessible to every single person on the planet. Now,

so to the degree that we're all member of a highly educated western elites, we're going

to be amazed at how smart and capable all those people are who did not have access to

our standard of living, our universities, and our culture. And when they come, they're

going to teach us things that we didn't know. And they are coming and I'm very excited about

that. The numbers are that they are on the order of a billion smartphones and the growth

rate outside of our area is faster than in ours so they're coming and they're coming

fast. And one of the great accomplishments of our generation is the lifting of a couple

of billion people from poverty to middle class, mostly in Asia, and we should be very, very

proud of that as citizens of the world. This is our next achievement, which is to bring

them into this modern world, the world that we all live in, the world that we have built,

and that the world that they will change, and I think, for a largely very good world.

So, I would argue that the future of all of us, the future of this conference, the future

of what we care about, should be organized around the future of trying to do good. That

this platform that's being built, that I have articulated I think fairly clearly, it's pretty

clear to me its going to happen. You feel it, you see it, look at the projects that

were presented here in the conference in the last two days. This is the future that gives

time--gives people time back to do what matters, the things that they care about; ideas, intuitions,

solutions, in doing what they love. And in many ways, it's a future of poetry. This is

a quote from the New York Times, from William Gibson, "Google is made of us, a sort of coral

reef of human minds and their products." I'm very, very happy to be part of this. I'm happy

that we're all part of making this happen and thank you so much for being part of it.

So, thank you. Okay, okay. Okay. Okay. Thank you.

>> Thank you so much. >> SCHMIDT: Okay, thank you.

>> It was great. >> SCHMIDT: Yes, thank you.

>> [INDISTINCT] >> SCHMIDT: Yes, yes.

>> Very good. >> SCHMIDT: Thank you.

>> Do you mind me a question? >> SCHMIDT: Sure, sure, go ahead. On, anyway.

>> Yes. >> SCHMIDT: Oh.

>> [INDISTINCT] >> SCHMIDT: Okay, thank you. Thank you, thank

you, thank you. Sorry. >> So, Stef, we're at the end?

>> We're at the end. >> SCHMIDT: Oh, we are at the end?

>> Yes. >> Just let me express, my deepest thanks

to this wonderful speech. I think we have seen something which will have an effect for

everybody of us. I mean, Karen and me, we're thinking about what we heard this very morning

about the traditional media. And Mr. Schumpeter and the disruption of everything, I mean,

the disruption of politics, Minister Presidente--President. So, you will see it everywhere, distribution,

and I'm very happy to have one of these heroes. You are really...

>> Yes. >> ...you are nearly a mythological figure

out of... >> SCHMIDT: Thank you.

>> ...of someone like Ulysses, you know? >> SCHMIDT: Oh, that's right.

>> You made your way through all these labyrinths and you have been probably the most successful.

>> SCHMIDT: Thank you. >> And we are very proud that you are here

with us.

The Description of Eric Schmidt at DLD