Where's Google going next? | Larry Page

1,096,291 views ・ 2014-03-22

TED


Please double-click on the English subtitles below to play the video.

00:13
Charlie Rose: So Larry sent me an email
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and he basically said,
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we've got to make sure that we don't seem like we're
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a couple of middle-aged boring men.
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I said, I'm flattered by that --
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(Laughter) —
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because I'm a bit older,
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and he has a bit more net worth than I do.
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Larry Page: Well, thank you.
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CR: So we'll have a conversation about
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the Internet, and we'll have a conversation Google,
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and we'll have a conversation about search
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and privacy,
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and also about your philosophy
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and a sense of how you've connected the dots
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and how this journey that began
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some time ago
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has such interesting prospects.
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Mainly we want to talk about the future.
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So my first question: Where is Google
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and where is it going?
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LP: Well, this is something we think about a lot,
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and our mission we defined a long time ago
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is to organize the world's information
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and make it universally accessible and useful.
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And people always say,
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is that really what you guys are still doing?
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And I always kind of think about that myself,
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and I'm not quite sure.
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But actually, when I think about search,
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it's such a deep thing for all of us,
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to really understand what you want,
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to understand the world's information,
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and we're still very much in the early stages of that,
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which is totally crazy.
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We've been at it for 15 years already,
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but it's not at all done.
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CR: When it's done, how will it be?
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LP: Well, I guess,
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in thinking about where we're going --
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you know, why is it not done? --
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a lot of it is just computing's kind of a mess.
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You know, your computer doesn't know where you are,
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it doesn't know what you're doing,
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it doesn't know what you know,
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and a lot we've been trying to do recently
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is just make your devices work,
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make them understand your context.
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Google Now, you know, knows where you are,
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knows what you may need.
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So really having computing work and understand you
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and understand that information,
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we really haven't done that yet.
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It's still very, very clunky.
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CR: Tell me, when you look at what Google is doing,
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where does Deep Mind fit?
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LP: Yeah, so Deep Mind is a company
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we just acquired recently.
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It's in the U.K.
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First, let me tell you the way we got there,
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which was looking at search
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and really understanding,
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trying to understand everything,
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and also make the computers not clunky
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and really understand you --
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like, voice was really important.
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So what's the state of the art on speech recognition?
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It's not very good.
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It doesn't really understand you.
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So we started doing machine learning research
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to improve that.
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That helped a lot.
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And we started just looking at things like YouTube.
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Can we understand YouTube?
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But we actually ran machine learning on YouTube
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and it discovered cats, just by itself.
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Now, that's an important concept.
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And we realized there's really something here.
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If we can learn what cats are,
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that must be really important.
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So I think Deep Mind,
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what's really amazing about Deep Mind
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is that it can actually --
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they're learning things in this unsupervised way.
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They started with video games,
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and really just, maybe I can show the video,
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just playing video games,
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and learning how to do that automatically.
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CR: Take a look at the video games
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and how machines are coming to be able
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to do some remarkable things.
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LP: The amazing thing about this
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is this is, I mean, obviously,
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these are old games,
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but the system just sees what you see, the pixels,
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and it has the controls and it has the score,
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and it's learned to play all of these games,
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same program.
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It's learned to play all of these games
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with superhuman performance.
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We've not been able to do things like this
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with computers before.
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And maybe I'll just narrate this one quickly.
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This is boxing, and it figures out it can
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sort of pin the opponent down.
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The computer's on the left,
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and it's just racking up points.
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So imagine if this kind
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of intelligence were thrown at your schedule,
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or your information needs, or things like that.
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We're really just at the beginning of that,
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and that's what I'm really excited about.
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CR: When you look at all that's taken place
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with Deep Mind and the boxing,
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also a part of where we're going
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is artificial intelligence.
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Where are we, when you look at that?
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LP: Well, I think for me,
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this is kind of one of the most exciting things
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I've seen in a long time.
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The guy who started this company, Demis,
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has a neuroscience and a computer science background.
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He went back to school
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to get his Ph.D. to study the brain.
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And so I think we're seeing a lot of exciting work
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going on that sort of crosses computer science
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and neuroscience
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in terms of really understanding
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what it takes to make something smart
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and do really interesting things.
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CR: But where's the level of it now?
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And how fast do you think we are moving?
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LP: Well, this is the state of the art right now,
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understanding cats on YouTube
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and things like that,
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improving voice recognition.
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We used a lot of machine learning
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to improve things incrementally,
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but I think for me, this example's really exciting,
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because it's one program
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that can do a lot of different things.
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CR: I don't know if we can do this,
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but we've got the image of the cat.
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It would be wonderful to see this.
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This is how machines looked at cats
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and what they came up with.
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Can we see that image?
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LP: Yeah. CR: There it is. Can you see the cat?
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Designed by machines, seen by machines.
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LP: That's right.
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So this is learned from just watching YouTube.
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And there's no training,
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no notion of a cat,
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but this concept of a cat
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is something important that you would understand,
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and now that the machines can kind of understand.
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Maybe just finishing
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also on the search part,
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it started with search, really understanding
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people's context and their information.
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I did have a video
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I wanted to show quickly on that
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that we actually found.
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(Video) ["Soy, Kenya"]
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Zack Matere: Not long ago,
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I planted a crop of potatoes.
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Then suddenly they started dying one after the other.
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I checked out the books and they didn't tell me much.
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So, I went and I did a search.
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["Zack Matere, Farmer"]
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Potato diseases.
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One of the websites told me
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that ants could be the problem.
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It said, sprinkle wood ash over the plants.
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Then after a few days the ants disappeared.
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I got excited about the Internet.
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I have this friend
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who really would like to expand his business.
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So I went with him to the cyber cafe
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and we checked out several sites.
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When I met him next, he was going to put a windmill
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at the local school.
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I felt proud because
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something that wasn't there before
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was suddenly there.
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I realized that not everybody
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can be able to access
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what I was able to access.
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I thought that I need to have an Internet
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that my grandmother can use.
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So I thought about a notice board.
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A simple wooden notice board.
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When I get information on my phone,
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I'm able to post the information
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on the notice board.
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So it's basically like a computer.
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I use the Internet to help people.
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I think I am searching for
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a better life
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for me and my neighbors.
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So many people have access to information,
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but there's no follow-up to that.
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I think the follow-up to that is our knowledge.
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When people have the knowledge,
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they can find solutions
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without having to helped out.
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Information is powerful,
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but it is how we use it that will define us.
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(Applause)
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LP: Now, the amazing thing about that video,
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actually, was we just read about it in the news,
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and we found this gentlemen,
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and made that little clip.
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CR: When I talk to people about you,
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they say to me, people who know you well, say,
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Larry wants to change the world,
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and he believes technology can show the way.
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And that means access to the Internet.
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It has to do with languages.
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It also means how people can get access
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and do things that will affect their community,
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and this is an example.
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LP: Yeah, that's right, and I think for me,
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I have been focusing on access more,
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if we're talking about the future.
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We recently released this Loon Project
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which is using balloons to do it.
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It sounds totally crazy.
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We can show the video here.
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Actually, two out of three people in the world
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don't have good Internet access now.
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We actually think this can really help people
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sort of cost-efficiently.
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CR: It's a balloon. LP: Yeah, get access to the Internet.
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CR: And why does this balloon give you access
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to the Internet?
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Because there was some interesting things
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you had to do to figure out how
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to make balloons possible,
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they didn't have to be tethered.
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LP: Yeah, and this is a good example of innovation.
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Like, we've been thinking about this idea
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for five years or more
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before we started working on it,
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but it was just really,
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how do we get access points up high, cheaply?
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You normally have to use satellites
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and it takes a long time to launch them.
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But you saw there how easy it is to launch a balloon
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and get it up,
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and actually again, it's the power of the Internet,
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I did a search on it,
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and I found, 30, 40 years ago,
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someone had put up a balloon
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and it had gone around the Earth multiple times.
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And I thought, why can't we do that today?
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And that's how this project got going.
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CR: But are you at the mercy of the wind?
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LP: Yeah, but it turns out,
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we did some weather simulations
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which probably hadn't really been done before,
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and if you control the altitude of the balloons,
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which you can do by pumping air into them
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and other ways,
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you can actually control roughly where they go,
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and so I think we can build a worldwide mesh
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of these balloons that can cover the whole planet.
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CR: Before I talk about the future and transportation,
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where you've been a nerd for a while,
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and this fascination you have with transportation
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and automated cars and bicycles,
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let me talk a bit about what's been the subject here
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earlier with Edward Snowden.
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It is security and privacy.
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You have to have been thinking about that.
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LP: Yeah, absolutely.
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I saw the picture of Sergey with Edward Snowden yesterday.
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Some of you may have seen it.
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But I think, for me, I guess,
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privacy and security are a really important thing.
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We think about it in terms of both things,
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and I think you can't have privacy without security,
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so let me just talk about security first,
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because you asked about Snowden and all of that,
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and then I'll say a little bit about privacy.
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I think for me, it's tremendously disappointing
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that the government
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secretly did all this stuff and didn't tell us.
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I don't think we can have a democracy
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if we're having to protect you and our users
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from the government
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for stuff that we've never had a conversation about.
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And I don't mean we have to know
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what the particular terrorist attack is they're worried
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about protecting us from,
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but we do need to know
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what the parameters of it is,
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what kind of surveillance the government's
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going to do and how and why,
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and I think we haven't had that conversation.
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So I think the government's actually done
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itself a tremendous disservice
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by doing all that in secret.
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CR: Never coming to Google
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to ask for anything.
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LP: Not Google, but the public.
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I think we need to have a debate about that,
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or we can't have a functioning democracy.
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It's just not possible.
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12:24
So I'm sad that Google's
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12:27
in the position of protecting you and our users
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12:29
from the government
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12:31
doing secret thing that nobody knows about.
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It doesn't make any sense.
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CR: Yeah. And then there's a privacy side of it.
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LP: Yes. The privacy side,
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I think it's -- the world is changing.
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You carry a phone. It knows where you are.
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There's so much more information about you,
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and that's an important thing,
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12:52
and it makes sense why people are asking
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12:54
difficult questions.
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We spend a lot of time thinking about this
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13:00
and what the issues are.
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I'm a little bit --
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13:04
I think the main thing that we need to do
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is just provide people choice,
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13:08
show them what data's being collected --
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13:10
search history, location data.
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13:15
We're excited about incognito mode in Chrome,
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13:18
and doing that in more ways,
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13:20
just giving people more choice
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13:21
and more awareness of what's going on.
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13:25
I also think it's very easy.
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13:27
What I'm worried is that we throw out
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13:28
the baby with the bathwater.
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13:30
And I look at, on your show, actually,
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13:33
I kind of lost my voice,
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13:35
and I haven't gotten it back.
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13:36
I'm hoping that by talking to you
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I'm going to get it back.
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13:40
CR: If I could do anything, I would do that.
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13:41
LP: All right. So get out your voodoo doll
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13:44
and whatever you need to do.
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13:46
But I think, you know what, I look at that,
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13:48
I made that public,
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13:50
and I got all this information.
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13:51
We got a survey done on medical conditions
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13:54
with people who have similar issues,
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13:57
and I look at medical records, and I say,
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14:02
wouldn't it be amazing
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14:04
if everyone's medical records were available
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14:06
anonymously
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14:07
to research doctors?
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14:10
And when someone accesses your medical record,
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14:13
a research doctor,
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14:15
they could see, you could see which doctor
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14:17
accessed it and why,
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14:19
and you could maybe learn about
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14:21
what conditions you have.
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14:22
I think if we just did that,
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14:24
we'd save 100,000 lives this year.
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14:26
CR: Absolutely. Let me go — (Applause)
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2948
14:29
LP: So I guess I'm just very worried that
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2762
14:32
with Internet privacy,
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1806
14:34
we're doing the same thing we're doing with medical records,
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2300
14:36
is we're throwing out the baby with the bathwater,
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2529
14:38
and we're not really thinking
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1828
14:40
about the tremendous good that can come
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2210
14:42
from people sharing information
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2191
14:45
with the right people in the right ways.
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2577
14:47
CR: And the necessary condition
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2237
14:49
that people have to have confidence
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14:51
that their information will not be abused.
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14:54
LP: Yeah, and I had this problem with my voice stuff.
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14:55
I was scared to share it.
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1508
14:57
Sergey encouraged me to do that,
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14:59
and it was a great thing to do.
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1827
15:01
CR: And the response has been overwhelming.
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15:02
LP: Yeah, and people are super positive.
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15:04
We got thousands and thousands of people
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15:07
with similar conditions,
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15:08
which there's no data on today.
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15:11
So it was a really good thing.
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15:12
CR: So talking about the future, what is it about you
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3019
15:15
and transportation systems?
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15:19
LP: Yeah. I guess I was just frustrated
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2177
15:21
with this when I was at college in Michigan.
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2539
15:24
I had to get on the bus and take it
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1450
15:25
and wait for it.
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1642
15:27
And it was cold and snowing.
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2179
15:29
I did some research on how much it cost,
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2655
15:32
and I just became a bit obsessed with transportation systems.
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6425
15:38
CR: And that began the idea of an automated car.
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2370
15:41
LP: Yeah, about 18 years ago I learned about
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1694
15:42
people working on automated cars,
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3182
15:46
and I became fascinated by that,
396
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1623
15:47
and it takes a while to get these projects going,
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947690
2777
15:50
but I'm super excited about the possibilities of that
398
950467
5097
15:55
improving the world.
399
955564
1668
15:57
There's 20 million people or more injured per year.
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957232
4526
16:01
It's the leading cause of death
401
961758
1986
16:03
for people under 34 in the U.S.
402
963744
2130
16:05
CR: So you're talking about saving lives.
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965874
1551
16:07
LP: Yeah, and also saving space
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2355
16:09
and making life better.
405
969780
3915
16:13
Los Angeles is half parking lots and roads,
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973695
4245
16:17
half of the area,
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1733
16:19
and most cities are not far behind, actually.
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2827
16:22
It's just crazy
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1564
16:24
that that's what we use our space for.
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1593
16:25
CR: And how soon will we be there?
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2343
16:28
LP: I think we can be there very, very soon.
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1926
16:29
We've driven well over 100,000 miles
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3501
16:33
now totally automated.
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4093
16:37
I'm super excited about getting that out quickly.
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3652
16:41
CR: But it's not only you're talking about automated cars.
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2405
16:43
You also have this idea for bicycles.
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2386
16:45
LP: Well at Google, we got this idea
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2246
16:48
that we should just provide free bikes to everyone,
419
1008209
3451
16:51
and that's been amazing, most of the trips.
420
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2768
16:54
You see bikes going everywhere,
421
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1586
16:56
and the bikes wear out.
422
1016014
1566
16:57
They're getting used 24 hours a day.
423
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1454
16:59
CR: But you want to put them above the street, too.
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2160
17:01
LP: Well I said, how do we get people
425
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1575
17:02
using bikes more?
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1527
17:04
CR: We may have a video here.
427
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1625
17:05
LP: Yeah, let's show the video.
428
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1278
17:07
I just got excited about this.
429
1027199
3092
17:10
(Music)
430
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4042
17:16
So this is actually how you might separate
431
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2425
17:18
bikes from cars with minimal cost.
432
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3629
17:26
Anyway, it looks totally crazy,
433
1046711
1755
17:28
but I was actually thinking about our campus,
434
1048466
2327
17:30
working with the Zippies and stuff,
435
1050793
2060
17:32
and just trying to get a lot more bike usage,
436
1052853
2298
17:35
and I was thinking about,
437
1055151
1548
17:36
how do you cost-effectively separate
438
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2831
17:39
the bikes from traffic?
439
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1414
17:40
And I went and searched,
440
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1150
17:42
and this is what I found.
441
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1371
17:43
And we're not actually working on this,
442
1063465
1845
17:45
that particular thing,
443
1065310
1292
17:46
but it gets your imagination going.
444
1066602
2054
17:48
CR: Let me close with this.
445
1068656
1764
17:50
Give me a sense of the philosophy of your own mind.
446
1070420
2345
17:52
You have this idea of [Google X].
447
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2488
17:55
You don't simply want
448
1075253
2996
17:58
to go in some small, measurable arena of progress.
449
1078249
5596
18:03
LP: Yeah, I think
450
1083845
1713
18:05
many of the things we just talked about are like that,
451
1085558
2131
18:07
where they're really --
452
1087689
2952
18:10
I almost use the economic concept of additionality,
453
1090641
3630
18:14
which means that you're doing something
454
1094271
2190
18:16
that wouldn't happen unless you were actually doing it.
455
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2948
18:19
And I think the more you can do things like that,
456
1099409
3140
18:22
the bigger impact you have,
457
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2071
18:24
and that's about doing things
458
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2990
18:27
that people might not think are possible.
459
1107610
3607
18:31
And I've been amazed,
460
1111217
1829
18:33
the more I learn about technology,
461
1113046
2229
18:35
the more I realize I don't know,
462
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2196
18:37
and that's because this technological horizon,
463
1117471
3337
18:40
the thing that you can see to do next,
464
1120808
2897
18:43
the more you learn about technology,
465
1123705
1840
18:45
the more you learn what's possible.
466
1125545
2602
18:48
You learn that the balloons are possible
467
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2246
18:50
because there's some material that will work for them.
468
1130393
2337
18:52
CR: What's interesting about you too, though, for me,
469
1132730
2379
18:55
is that, we have lots of people
470
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1711
18:56
who are thinking about the future,
471
1136820
2142
18:58
and they are going and looking and they're coming back,
472
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3268
19:02
but we never see the implementation.
473
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2127
19:04
I think of somebody you knew
474
1144357
1605
19:05
and read about, Tesla.
475
1145962
2907
19:08
The principle of that for you is what?
476
1148869
3804
19:12
LP: Well, I think invention is not enough.
477
1152673
1785
19:14
If you invent something,
478
1154458
1221
19:15
Tesla invented electric power that we use,
479
1155679
3195
19:18
but he struggled to get it out to people.
480
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2661
19:21
That had to be done by other people.
481
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1684
19:23
It took a long time.
482
1163219
1626
19:24
And I think if we can actually combine both things,
483
1164845
3867
19:28
where we have an innovation and invention focus,
484
1168712
3531
19:32
plus the ability to really -- a company
485
1172243
2972
19:35
that can really commercialize things
486
1175215
1998
19:37
and get them to people
487
1177213
1630
19:38
in a way that's positive for the world
488
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2075
19:40
and to give people hope.
489
1180918
2056
19:42
You know, I'm amazed with the Loon Project
490
1182974
2774
19:45
just how excited people were about that,
491
1185748
2786
19:48
because it gave them hope
492
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1814
19:50
for the two thirds of the world
493
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1621
19:51
that doesn't have Internet right now that's any good.
494
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2726
19:54
CR: Which is a second thing about corporations.
495
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2122
19:56
You are one of those people who believe
496
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2476
19:59
that corporations are an agent of change
497
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2317
20:01
if they are run well.
498
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1471
20:03
LP: Yeah. I'm really dismayed
499
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1821
20:04
most people think companies are basically evil.
500
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3294
20:08
They get a bad rap.
501
1208196
1766
20:09
And I think that's somewhat correct.
502
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2241
20:12
Companies are doing the same incremental thing
503
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2870
20:15
that they did 50 years ago
504
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1763
20:16
or 20 years ago.
505
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1631
20:18
That's not really what we need.
506
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1370
20:19
We need, especially in technology,
507
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2218
20:22
we need revolutionary change,
508
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2117
20:24
not incremental change.
509
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1413
20:25
CR: You once said, actually,
510
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1169
20:26
as I think I've got this about right,
511
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1818
20:28
that you might consider,
512
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1645
20:30
rather than giving your money,
513
1230217
1753
20:31
if you were leaving it to some cause,
514
1231970
3320
20:35
just simply giving it to Elon Musk,
515
1235290
2006
20:37
because you had confidence
516
1237296
1163
20:38
that he would change the future,
517
1238459
1842
20:40
and that you would therefore —
518
1240301
1777
20:42
LP: Yeah, if you want to go Mars,
519
1242078
1584
20:43
he wants to go to Mars,
520
1243662
1721
20:45
to back up humanity,
521
1245383
1971
20:47
that's a worthy goal, but it's a company,
522
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1672
20:49
and it's philanthropical.
523
1249026
2555
20:51
So I think we aim to do kind of similar things.
524
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2952
20:54
And I think, you ask, we have a lot of employees
525
1254533
2987
20:57
at Google who have become pretty wealthy.
526
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3315
21:00
People make a lot of money in technology.
527
1260835
2520
21:03
A lot of people in the room are pretty wealthy.
528
1263355
2156
21:05
You're working because you want to change the world.
529
1265511
2314
21:07
You want to make it better.
530
1267825
1762
21:09
Why isn't the company that you work for
531
1269587
3445
21:13
worthy not just of your time
532
1273032
1943
21:14
but your money as well?
533
1274975
2151
21:17
I mean, but we don't have a concept of that.
534
1277126
1722
21:18
That's not how we think about companies,
535
1278848
2304
21:21
and I think it's sad,
536
1281152
1467
21:22
because companies are most of our effort.
537
1282619
3767
21:26
They're where most of people's time is,
538
1286386
2515
21:28
where a lot of the money is,
539
1288901
1854
21:30
and so I think I'd like for us to help out
540
1290755
2352
21:33
more than we are.
541
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1126
21:34
CR: When I close conversations with lots of people,
542
1294233
1721
21:35
I always ask this question:
543
1295954
1779
21:37
What state of mind,
544
1297733
1515
21:39
what quality of mind is it
545
1299248
1809
21:41
that has served you best?
546
1301057
1767
21:42
People like Rupert Murdoch have said curiosity,
547
1302824
2521
21:45
and other people in the media have said that.
548
1305345
2628
21:47
Bill Gates and Warren Buffett have said focus.
549
1307973
3024
21:50
What quality of mind,
550
1310997
1427
21:52
as I leave this audience,
551
1312424
1374
21:53
has enabled you to think about the future
552
1313798
3530
21:57
and at the same time
553
1317328
1647
21:58
change the present?
554
1318975
2205
22:01
LP: You know, I think the most important thing --
555
1321180
1670
22:02
I looked at lots of companies
556
1322850
1612
22:04
and why I thought they don't succeed over time.
557
1324462
3303
22:07
We've had a more rapid turnover of companies.
558
1327765
2833
22:10
And I said, what did they fundamentally do wrong?
559
1330598
2769
22:13
What did those companies all do wrong?
560
1333367
2167
22:15
And usually it's just that they missed the future.
561
1335534
3272
22:18
And so I think, for me,
562
1338806
2444
22:21
I just try to focus on that and say,
563
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2424
22:23
what is that future really going to be
564
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2184
22:25
and how do we create it,
565
1345858
1787
22:27
and how do we cause our organization,
566
1347645
4667
22:32
to really focus on that
567
1352312
2440
22:34
and drive that at a really high rate?
568
1354752
3325
22:38
And so that's been curiosity,
569
1358077
1360
22:39
it's been looking at things
570
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1733
22:41
people might not think about,
571
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1718
22:42
working on things that no one else is working on,
572
1362888
3105
22:45
because that's where the additionality really is,
573
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3306
22:49
and be willing to do that,
574
1369299
1551
22:50
to take that risk.
575
1370850
1382
22:52
Look at Android.
576
1372232
1065
22:53
I felt guilty about working on Android
577
1373297
2785
22:56
when it was starting.
578
1376082
1316
22:57
It was a little startup we bought.
579
1377398
1958
22:59
It wasn't really what we were really working on.
580
1379356
2670
23:02
And I felt guilty about spending time on that.
581
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2495
23:04
That was stupid.
582
1384521
1454
23:05
That was the future, right?
583
1385975
1051
23:07
That was a good thing to be working on.
584
1387026
2285
23:09
CR: It is great to see you here.
585
1389311
1417
23:10
It's great to hear from you,
586
1390728
1460
23:12
and a pleasure to sit at this table with you.
587
1392188
2297
23:14
Thanks, Larry.
588
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928
23:15
LP: Thank you.
589
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2103
23:17
(Applause)
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3932
23:21
CR: Larry Page.
591
1401448
3311
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