Return to Video

Where’s Google going next?

  • 0:01 - 0:05
    Charlie Rose: So Larry sent me an email
  • 0:05 - 0:07
    and he basically said,
  • 0:07 - 0:11
    we've got to make sure that
    we don't seem like we're
  • 0:11 - 0:15
    a couple of middle-aged boring men.
  • 0:15 - 0:18
    I said, I'm flattered by that --
  • 0:18 - 0:21
    (Laughter) —
  • 0:21 - 0:24
    because I'm a bit older,
  • 0:24 - 0:28
    and he has a bit more net worth than I do.
  • 0:28 - 0:31
    Larry Page: Well, thank you.
  • 0:31 - 0:34
    CR: So we'll have a conversation about
  • 0:34 - 0:37
    the Internet, and we'll have a conversation Google,
  • 0:37 - 0:38
    and we'll have a conversation about search
  • 0:38 - 0:39
    and privacy,
  • 0:39 - 0:41
    and also about your philosophy
  • 0:41 - 0:43
    and a sense of how you've connected the dots
  • 0:43 - 0:45
    and how this journey that began
  • 0:45 - 0:47
    some time ago
  • 0:47 - 0:49
    has such interesting prospects.
  • 0:49 - 0:51
    Mainly we want to talk about the future.
  • 0:51 - 0:53
    So my first question: Where is Google
  • 0:53 - 0:55
    and where is it going?
  • 0:55 - 0:56
    LP: Well, this is something we think about a lot,
  • 0:56 - 1:00
    and our mission we defined a long time ago
  • 1:00 - 1:02
    is to organize the world's information
  • 1:02 - 1:06
    and make it universally accessible and useful.
  • 1:06 - 1:08
    And people always say,
  • 1:08 - 1:10
    is that really what you guys are still doing?
  • 1:10 - 1:12
    And I always kind of think about that myself,
  • 1:12 - 1:14
    and I'm not quite sure.
  • 1:14 - 1:18
    But actually, when I think about search,
  • 1:18 - 1:21
    it's such a deep thing for all of us,
  • 1:21 - 1:23
    to really understand what you want,
  • 1:23 - 1:25
    to understand the world's information,
  • 1:25 - 1:29
    and we're still very much in the early stages of that,
  • 1:29 - 1:31
    which is totally crazy.
  • 1:31 - 1:33
    We've been at it for 15 years already,
  • 1:33 - 1:37
    but it's not at all done.
  • 1:37 - 1:40
    CR: When it's done, how will it be?
  • 1:40 - 1:42
    LP: Well, I guess,
  • 1:42 - 1:45
    in thinking about where we're going --
  • 1:45 - 1:47
    you know, why is it not done? --
  • 1:47 - 1:49
    a lot of it is just computing's kind of a mess.
  • 1:49 - 1:51
    You know, your computer
    doesn't know where you are,
  • 1:51 - 1:53
    it doesn't know what you're doing,
  • 1:53 - 1:55
    it doesn't know what you know,
  • 1:55 - 1:57
    and a lot we've been trying to do recently
  • 1:57 - 2:01
    is just make your devices work,
  • 2:01 - 2:03
    make them understand your context.
  • 2:03 - 2:05
    Google Now, you know, knows where you are,
  • 2:05 - 2:07
    knows what you may need.
  • 2:07 - 2:11
    So really having computing
    work and understand you
  • 2:11 - 2:13
    and understand that information,
  • 2:13 - 2:16
    we really haven't done that yet.
  • 2:16 - 2:17
    It's still very, very clunky.
  • 2:17 - 2:20
    CR: Tell me, when you look at what Google is doing,
  • 2:20 - 2:23
    where does Deep Mind fit?
  • 2:23 - 2:24
    LP: Yeah, so Deep Mind is a company
  • 2:24 - 2:27
    we just acquired recently.
  • 2:27 - 2:30
    It's in the U.K.
  • 2:30 - 2:33
    First, let me tell you the way we got there,
  • 2:33 - 2:35
    which was looking at search
  • 2:35 - 2:36
    and really understanding,
  • 2:36 - 2:39
    trying to understand everything,
  • 2:39 - 2:40
    and also make the computers not clunky
  • 2:40 - 2:42
    and really understand you --
  • 2:42 - 2:45
    like, voice was really important.
  • 2:45 - 2:47
    So what's the state of the art
    on speech recognition?
  • 2:47 - 2:49
    It's not very good.
  • 2:49 - 2:51
    It doesn't really understand you.
  • 2:51 - 2:53
    So we started doing machine learning research
  • 2:53 - 2:55
    to improve that.
  • 2:55 - 2:56
    That helped a lot.
  • 2:56 - 2:59
    And we started just looking at things like YouTube.
  • 2:59 - 3:01
    Can we understand YouTube?
  • 3:01 - 3:03
    But we actually ran machine learning on YouTube
  • 3:03 - 3:07
    and it discovered cats, just by itself.
  • 3:07 - 3:10
    Now, that's an important concept.
  • 3:10 - 3:13
    And we realized there's really something here.
  • 3:13 - 3:15
    If we can learn what cats are,
  • 3:15 - 3:17
    that must be really important.
  • 3:17 - 3:19
    So I think Deep Mind,
  • 3:19 - 3:22
    what's really amazing about Deep Mind
  • 3:22 - 3:24
    is that it can actually --
  • 3:24 - 3:27
    they're learning things in this unsupervised way.
  • 3:27 - 3:30
    They started with video games,
  • 3:30 - 3:32
    and really just, maybe I can show the video,
  • 3:32 - 3:35
    just playing video games,
  • 3:35 - 3:37
    and learning how to do that automatically.
  • 3:37 - 3:38
    CR: Take a look at the video games
  • 3:38 - 3:41
    and how machines are coming to be able
  • 3:41 - 3:43
    to do some remarkable things.
  • 3:43 - 3:45
    LP: The amazing thing about this
  • 3:45 - 3:46
    is this is, I mean, obviously,
  • 3:46 - 3:48
    these are old games,
  • 3:48 - 3:53
    but the system just sees what you see, the pixels,
  • 3:53 - 3:55
    and it has the controls and it has the score,
  • 3:55 - 3:57
    and it's learned to play all of these games,
  • 3:57 - 3:59
    same program.
  • 3:59 - 4:01
    It's learned to play all of these games
  • 4:01 - 4:03
    with superhuman performance.
  • 4:03 - 4:04
    We've not been able to do things like this
  • 4:04 - 4:06
    with computers before.
  • 4:06 - 4:08
    And maybe I'll just narrate this one quickly.
  • 4:08 - 4:11
    This is boxing, and it figures out it can
  • 4:11 - 4:14
    sort of pin the opponent down.
  • 4:14 - 4:15
    The computer's on the left,
  • 4:15 - 4:19
    and it's just racking up points.
  • 4:19 - 4:21
    So imagine if this kind
  • 4:21 - 4:23
    of intelligence were thrown at your schedule,
  • 4:23 - 4:27
    or your information needs, or things like that.
  • 4:27 - 4:30
    We're really just at the beginning of that,
  • 4:30 - 4:32
    and that's what I'm really excited about.
  • 4:32 - 4:35
    CR: When you look at all that's taken place
  • 4:35 - 4:37
    with Deep Mind and the boxing,
  • 4:37 - 4:40
    also a part of where we're going
  • 4:40 - 4:43
    is artificial intelligence.
  • 4:43 - 4:45
    Where are we, when you look at that?
  • 4:45 - 4:47
    LP: Well, I think for me,
  • 4:47 - 4:49
    this is kind of one of the most exciting things
  • 4:49 - 4:51
    I've seen in a long time.
  • 4:51 - 4:53
    The guy who started this company, Demis,
  • 4:53 - 4:56
    has a neuroscience and a
    computer science background.
  • 4:56 - 4:57
    He went back to school
  • 4:57 - 5:01
    to get his Ph.D. to study the brain.
  • 5:01 - 5:03
    And so I think we're seeing a lot of exciting work
  • 5:03 - 5:06
    going on that sort of crosses computer science
  • 5:06 - 5:08
    and neuroscience
  • 5:08 - 5:10
    in terms of really understanding
  • 5:10 - 5:13
    what it takes to make something smart
  • 5:13 - 5:15
    and do really interesting things.
  • 5:15 - 5:17
    CR: But where's the level of it now?
  • 5:17 - 5:19
    And how fast do you think we are moving?
  • 5:19 - 5:23
    LP: Well, this is the state of the art right now,
  • 5:23 - 5:25
    understanding cats on YouTube
  • 5:25 - 5:26
    and things like that,
  • 5:26 - 5:28
    improving voice recognition.
  • 5:28 - 5:31
    We used a lot of machine learning
  • 5:31 - 5:33
    to improve things incrementally,
  • 5:33 - 5:36
    but I think for me, this example's really exciting,
  • 5:36 - 5:39
    because it's one program
  • 5:39 - 5:41
    that can do a lot of different things.
  • 5:41 - 5:42
    CR: I don't know if we can do this,
  • 5:42 - 5:43
    but we've got the image of the cat.
  • 5:43 - 5:45
    It would be wonderful to see this.
  • 5:45 - 5:47
    This is how machines looked at cats
  • 5:47 - 5:48
    and what they came up with.
  • 5:48 - 5:50
    Can we see that image?
  • 5:50 - 5:52
    LP: Yeah.
    CR: There it is. Can you see the cat?
  • 5:52 - 5:54
    Designed by machines, seen by machines.
  • 5:54 - 5:55
    LP: That's right.
  • 5:55 - 5:58
    So this is learned from just watching YouTube.
  • 5:58 - 6:00
    And there's no training,
  • 6:00 - 6:01
    no notion of a cat,
  • 6:01 - 6:03
    but this concept of a cat
  • 6:03 - 6:06
    is something important that you would understand,
  • 6:06 - 6:09
    and now that the machines can kind of understand.
  • 6:09 - 6:10
    Maybe just finishing
  • 6:10 - 6:12
    also on the search part,
  • 6:12 - 6:15
    it started with search, really understanding
  • 6:15 - 6:18
    people's context and their information.
  • 6:18 - 6:19
    I did have a video
  • 6:19 - 6:21
    I wanted to show quickly on that
  • 6:21 - 6:23
    that we actually found.
  • 6:23 - 6:28
    (Video) ["Soy, Kenya"]
  • 6:29 - 6:30
    Zack Matere: Not long ago,
  • 6:30 - 6:33
    I planted a crop of potatoes.
  • 6:33 - 6:36
    Then suddenly they started
    dying one after the other.
  • 6:36 - 6:39
    I checked out the books and
    they didn't tell me much.
  • 6:39 - 6:41
    So, I went and I did a search.
  • 6:41 - 6:44
    ["Zack Matere, Farmer"]
  • 6:46 - 6:49
    Potato diseases.
  • 6:49 - 6:50
    One of the websites told me
  • 6:50 - 6:52
    that ants could be the problem.
  • 6:52 - 6:55
    It said, sprinkle wood ash over the plants.
  • 6:55 - 6:57
    Then after a few days the ants disappeared.
  • 6:57 - 7:00
    I got excited about the Internet.
  • 7:00 - 7:01
    I have this friend
  • 7:01 - 7:05
    who really would like to expand his business.
  • 7:05 - 7:08
    So I went with him to the cyber cafe
  • 7:08 - 7:11
    and we checked out several sites.
  • 7:11 - 7:13
    When I met him next, he was going to put a windmill
  • 7:13 - 7:16
    at the local school.
  • 7:16 - 7:17
    I felt proud because
  • 7:17 - 7:19
    something that wasn't there before
  • 7:19 - 7:21
    was suddenly there.
  • 7:21 - 7:24
    I realized that not everybody
  • 7:24 - 7:26
    can be able to access
  • 7:26 - 7:27
    what I was able to access.
  • 7:27 - 7:29
    I thought that I need to have an Internet
  • 7:29 - 7:31
    that my grandmother can use.
  • 7:31 - 7:33
    So I thought about a notice board.
  • 7:33 - 7:35
    A simple wooden notice board.
  • 7:35 - 7:37
    When I get information on my phone,
  • 7:37 - 7:40
    I'm able to post the information
  • 7:40 - 7:41
    on the notice board.
  • 7:41 - 7:44
    So it's basically like a computer.
  • 7:44 - 7:48
    I use the Internet to help people.
  • 7:48 - 7:51
    I think I am searching for
  • 7:51 - 7:53
    a better life
  • 7:53 - 7:57
    for me and my neighbors.
  • 7:57 - 8:01
    So many people have access to information,
  • 8:01 - 8:04
    but there's no follow-up to that.
  • 8:04 - 8:06
    I think the follow-up to that is our knowledge.
  • 8:06 - 8:08
    When people have the knowledge,
  • 8:08 - 8:09
    they can find solutions
  • 8:09 - 8:11
    without having to helped out.
  • 8:11 - 8:14
    Information is powerful,
  • 8:14 - 8:18
    but it is how we use it that will define us.
  • 8:18 - 8:23
    (Applause)
  • 8:23 - 8:25
    LP: Now, the amazing thing about that video,
  • 8:25 - 8:27
    actually, was we just read about it in the news,
  • 8:27 - 8:29
    and we found this gentlemen,
  • 8:29 - 8:31
    and made that little clip.
  • 8:31 - 8:33
    CR: When I talk to people about you,
  • 8:33 - 8:35
    they say to me, people who know you well, say,
  • 8:35 - 8:37
    Larry wants to change the world,
  • 8:37 - 8:41
    and he believes technology can show the way.
  • 8:41 - 8:43
    And that means access to the Internet.
  • 8:43 - 8:45
    It has to do with languages.
  • 8:45 - 8:48
    It also means how people can get access
  • 8:48 - 8:50
    and do things that will affect their community,
  • 8:50 - 8:53
    and this is an example.
  • 8:53 - 8:57
    LP: Yeah, that's right, and I think for me,
  • 8:57 - 8:59
    I have been focusing on access more,
  • 8:59 - 9:01
    if we're talking about the future.
  • 9:01 - 9:04
    We recently released this Loon Project
  • 9:04 - 9:06
    which is using balloons to do it.
  • 9:06 - 9:08
    It sounds totally crazy.
  • 9:08 - 9:10
    We can show the video here.
  • 9:10 - 9:12
    Actually, two out of three people in the world
  • 9:12 - 9:14
    don't have good Internet access now.
  • 9:14 - 9:17
    We actually think this can really help people
  • 9:17 - 9:19
    sort of cost-efficiently.
  • 9:19 - 9:23
    CR: It's a balloon.
    LP: Yeah, get access to the Internet.
  • 9:23 - 9:25
    CR: And why does this balloon give you access
  • 9:25 - 9:26
    to the Internet?
  • 9:26 - 9:27
    Because there was some interesting things
  • 9:27 - 9:29
    you had to do to figure out how
  • 9:29 - 9:31
    to make balloons possible,
  • 9:31 - 9:33
    they didn't have to be tethered.
  • 9:33 - 9:35
    LP: Yeah, and this is a good example of innovation.
  • 9:35 - 9:37
    Like, we've been thinking about this idea
  • 9:37 - 9:39
    for five years or more
  • 9:39 - 9:41
    before we started working on it,
  • 9:41 - 9:42
    but it was just really,
  • 9:42 - 9:46
    how do we get access points up high, cheaply?
  • 9:46 - 9:47
    You normally have to use satellites
  • 9:47 - 9:50
    and it takes a long time to launch them.
  • 9:50 - 9:53
    But you saw there how easy it is to launch a balloon
  • 9:53 - 9:54
    and get it up,
  • 9:54 - 9:56
    and actually again, it's the power of the Internet,
  • 9:56 - 9:58
    I did a search on it,
  • 9:58 - 10:00
    and I found, 30, 40 years ago,
  • 10:00 - 10:02
    someone had put up a balloon
  • 10:02 - 10:05
    and it had gone around the Earth multiple times.
  • 10:05 - 10:08
    And I thought, why can't we do that today?
  • 10:08 - 10:10
    And that's how this project got going.
  • 10:10 - 10:13
    CR: But are you at the mercy of the wind?
  • 10:13 - 10:15
    LP: Yeah, but it turns out,
  • 10:15 - 10:16
    we did some weather simulations
  • 10:16 - 10:19
    which probably hadn't really been done before,
  • 10:19 - 10:21
    and if you control the altitude of the balloons,
  • 10:21 - 10:23
    which you can do by pumping air into them
  • 10:23 - 10:25
    and other ways,
  • 10:25 - 10:28
    you can actually control roughly where they go,
  • 10:28 - 10:30
    and so I think we can build a worldwide mesh
  • 10:30 - 10:34
    of these balloons that can cover the whole planet.
  • 10:34 - 10:36
    CR: Before I talk about the future and transportation,
  • 10:36 - 10:38
    where you've been a nerd for a while,
  • 10:38 - 10:40
    and this fascination you have with transportation
  • 10:40 - 10:42
    and automated cars and bicycles,
  • 10:42 - 10:44
    let me talk a bit about what's been the subject here
  • 10:44 - 10:46
    earlier with Edward Snowden.
  • 10:46 - 10:49
    It is security and privacy.
  • 10:49 - 10:52
    You have to have been thinking about that.
  • 10:52 - 10:53
    LP: Yeah, absolutely.
  • 10:53 - 10:56
    I saw the picture of Sergey with
    Edward Snowden yesterday.
  • 10:56 - 10:59
    Some of you may have seen it.
  • 10:59 - 11:02
    But I think, for me, I guess,
  • 11:02 - 11:06
    privacy and security are a really important thing.
  • 11:06 - 11:08
    We think about it in terms of both things,
  • 11:08 - 11:11
    and I think you can't have privacy without security,
  • 11:11 - 11:13
    so let me just talk about security first,
  • 11:13 - 11:16
    because you asked about Snowden and all of that,
  • 11:16 - 11:18
    and then I'll say a little bit about privacy.
  • 11:18 - 11:22
    I think for me, it's tremendously disappointing
  • 11:22 - 11:23
    that the government
  • 11:23 - 11:26
    secretly did all this stuff and didn't tell us.
  • 11:26 - 11:29
    I don't think we can have a democracy
  • 11:29 - 11:33
    if we're having to protect you and our users
  • 11:33 - 11:34
    from the government
  • 11:34 - 11:37
    for stuff that we've never had a conversation about.
  • 11:37 - 11:39
    And I don't mean we have to know
  • 11:39 - 11:41
    what the particular terrorist attack is they're worried
  • 11:41 - 11:42
    about protecting us from,
  • 11:42 - 11:44
    but we do need to know
  • 11:44 - 11:47
    what the parameters of it is,
  • 11:47 - 11:49
    what kind of surveillance the government's
  • 11:49 - 11:51
    going to do and how and why,
  • 11:51 - 11:53
    and I think we haven't had that conversation.
  • 11:53 - 11:56
    So I think the government's actually done
  • 11:56 - 11:58
    itself a tremendous disservice
  • 11:58 - 12:00
    by doing all that in secret.
  • 12:00 - 12:02
    CR: Never coming to Google
  • 12:02 - 12:03
    to ask for anything.
  • 12:03 - 12:05
    LP: Not Google, but the public.
  • 12:05 - 12:09
    I think we need to
    have a debate about that,
  • 12:09 - 12:11
    or we can't have a functioning democracy.
  • 12:11 - 12:13
    It's just not possible.
  • 12:13 - 12:15
    So I'm sad that Google's
  • 12:15 - 12:18
    in the position of protecting you and our users
  • 12:18 - 12:19
    from the government
  • 12:19 - 12:21
    doing secret thing that nobody knows about.
  • 12:21 - 12:23
    It doesn't make any sense.
  • 12:23 - 12:26
    CR: Yeah. And then there's a privacy side of it.
  • 12:26 - 12:29
    LP: Yes. The privacy side,
  • 12:29 - 12:31
    I think it's -- the world is changing.
  • 12:31 - 12:35
    You carry a phone. It knows where you are.
  • 12:35 - 12:38
    There's so much more information about you,
  • 12:38 - 12:40
    and that's an important thing,
  • 12:40 - 12:43
    and it makes sense why people are asking
  • 12:43 - 12:45
    difficult questions.
  • 12:45 - 12:48
    We spend a lot of time thinking about this
  • 12:48 - 12:51
    and what the issues are.
  • 12:51 - 12:53
    I'm a little bit --
  • 12:53 - 12:54
    I think the main thing that we need to do
  • 12:54 - 12:56
    is just provide people choice,
  • 12:56 - 12:59
    show them what data's being collected --
  • 12:59 - 13:03
    search history, location data.
  • 13:03 - 13:06
    We're excited about incognito mode in Chrome,
  • 13:06 - 13:08
    and doing that in more ways,
  • 13:08 - 13:10
    just giving people more choice
  • 13:10 - 13:13
    and more awareness of what's going on.
  • 13:13 - 13:16
    I also think it's very easy.
  • 13:16 - 13:17
    What I'm worried is that we throw out
  • 13:17 - 13:19
    the baby with the bathwater.
  • 13:19 - 13:22
    And I look at, on your show, actually,
  • 13:22 - 13:24
    I kind of lost my voice,
  • 13:24 - 13:25
    and I haven't gotten it back.
  • 13:25 - 13:27
    I'm hoping that by talking to you
  • 13:27 - 13:28
    I'm going to get it back.
  • 13:28 - 13:30
    CR: If I could do anything, I would do that.
  • 13:30 - 13:32
    LP: All right. So get out your voodoo doll
  • 13:32 - 13:35
    and whatever you need to do.
  • 13:35 - 13:37
    But I think, you know what, I look at that,
  • 13:37 - 13:39
    I made that public,
  • 13:39 - 13:40
    and I got all this information.
  • 13:40 - 13:43
    We got a survey done on medical conditions
  • 13:43 - 13:46
    with people who have similar issues,
  • 13:46 - 13:51
    and I look at medical records, and I say,
  • 13:51 - 13:52
    wouldn't it be amazing
  • 13:52 - 13:54
    if everyone's medical records were available
  • 13:54 - 13:56
    anonymously
  • 13:56 - 13:59
    to research doctors?
  • 13:59 - 14:02
    And when someone accesses your medical record,
  • 14:02 - 14:03
    a research doctor,
  • 14:03 - 14:06
    they could see, you could see which doctor
  • 14:06 - 14:08
    accessed it and why,
  • 14:08 - 14:09
    and you could maybe learn about
  • 14:09 - 14:11
    what conditions you have.
  • 14:11 - 14:12
    I think if we just did that,
  • 14:12 - 14:15
    we'd save 100,000 lives this year.
  • 14:15 - 14:17
    CR: Absolutely. Let me go — (Applause)
  • 14:17 - 14:20
    LP: So I guess I'm just very worried that
  • 14:20 - 14:22
    with Internet privacy,
  • 14:22 - 14:24
    we're doing the same thing we're
    doing with medical records,
  • 14:24 - 14:27
    is we're throwing out the baby with the bathwater,
  • 14:27 - 14:29
    and we're not really thinking
  • 14:29 - 14:31
    about the tremendous good that can come
  • 14:31 - 14:33
    from people sharing information
  • 14:33 - 14:36
    with the right people in the right ways.
  • 14:36 - 14:38
    CR: And the necessary condition
  • 14:38 - 14:40
    that people have to have confidence
  • 14:40 - 14:42
    that their information will not be abused.
  • 14:42 - 14:44
    LP: Yeah, and I had this problem with my voice stuff.
  • 14:44 - 14:45
    I was scared to share it.
  • 14:45 - 14:47
    Sergey encouraged me to do that,
  • 14:47 - 14:49
    and it was a great thing to do.
  • 14:49 - 14:51
    CR: And the response has been overwhelming.
  • 14:51 - 14:52
    LP: Yeah, and people are super positive.
  • 14:52 - 14:55
    We got thousands and thousands of people
  • 14:55 - 14:57
    with similar conditions,
  • 14:57 - 15:00
    which there's no data on today.
  • 15:00 - 15:01
    So it was a really good thing.
  • 15:01 - 15:04
    CR: So talking about the future, what is it about you
  • 15:04 - 15:08
    and transportation systems?
  • 15:08 - 15:10
    LP: Yeah. I guess I was just frustrated
  • 15:10 - 15:12
    with this when I was at college in Michigan.
  • 15:12 - 15:14
    I had to get on the bus and take it
  • 15:14 - 15:16
    and wait for it.
  • 15:16 - 15:18
    And it was cold and snowing.
  • 15:18 - 15:20
    I did some research on how much it cost,
  • 15:20 - 15:27
    and I just became a bit obsessed
    with transportation systems.
  • 15:27 - 15:29
    CR: And that began the idea of an automated car.
  • 15:29 - 15:31
    LP: Yeah, about 18 years ago I learned about
  • 15:31 - 15:34
    people working on automated cars,
  • 15:34 - 15:36
    and I became fascinated by that,
  • 15:36 - 15:38
    and it takes a while to
    get these projects going,
  • 15:38 - 15:44
    but I'm super excited about the possibilities of that
  • 15:44 - 15:45
    improving the world.
  • 15:45 - 15:50
    There's 20 million people or more injured per year.
  • 15:50 - 15:52
    It's the leading cause of death
  • 15:52 - 15:54
    for people under 34 in the U.S.
  • 15:54 - 15:55
    CR: So you're talking about saving lives.
  • 15:55 - 15:58
    LP: Yeah, and also saving space
  • 15:58 - 16:02
    and making life better.
  • 16:02 - 16:06
    Los Angeles is half parking lots and roads,
  • 16:06 - 16:08
    half of the area,
  • 16:08 - 16:10
    and most cities are not far behind, actually.
  • 16:10 - 16:12
    It's just crazy
  • 16:12 - 16:14
    that that's what we use our space for.
  • 16:14 - 16:16
    CR: And how soon will we be there?
  • 16:16 - 16:18
    LP: I think we can be there very, very soon.
  • 16:18 - 16:21
    We've driven well over 100,000 miles
  • 16:21 - 16:26
    now totally automated.
  • 16:26 - 16:29
    I'm super excited about getting that out quickly.
  • 16:29 - 16:32
    CR: But it's not only you're
    talking about automated cars.
  • 16:32 - 16:34
    You also have this idea for bicycles.
  • 16:34 - 16:36
    LP: Well at Google, we got this idea
  • 16:36 - 16:40
    that we should just provide free bikes to everyone,
  • 16:40 - 16:42
    and that's been amazing, most of the trips.
  • 16:42 - 16:44
    You see bikes going everywhere,
  • 16:44 - 16:46
    and the bikes wear out.
  • 16:46 - 16:47
    They're getting used 24 hours a day.
  • 16:47 - 16:49
    CR: But you want to put them above the street, too.
  • 16:49 - 16:51
    LP: Well I said, how do we get people
  • 16:51 - 16:52
    using bikes more?
  • 16:52 - 16:54
    CR: We may have a video here.
  • 16:54 - 16:55
    LP: Yeah, let's show the video.
  • 16:55 - 16:58
    I just got excited about this.
  • 16:58 - 17:02
    (Music)
  • 17:04 - 17:07
    So this is actually how you might separate
  • 17:07 - 17:10
    bikes from cars with minimal cost.
  • 17:15 - 17:16
    Anyway, it looks totally crazy,
  • 17:16 - 17:19
    but I was actually thinking about our campus,
  • 17:19 - 17:21
    working with the Zippies and stuff,
  • 17:21 - 17:23
    and just trying to get a lot more bike usage,
  • 17:23 - 17:25
    and I was thinking about,
  • 17:25 - 17:28
    how do you cost-effectively separate
  • 17:28 - 17:29
    the bikes from traffic?
  • 17:29 - 17:30
    And I went and searched,
  • 17:30 - 17:31
    and this is what I found.
  • 17:31 - 17:33
    And we're not actually working on this,
  • 17:33 - 17:35
    that particular thing,
  • 17:35 - 17:37
    but it gets your imagination going.
  • 17:37 - 17:38
    CR: Let me close with this.
  • 17:38 - 17:41
    Give me a sense of the philosophy
    of your own mind.
  • 17:41 - 17:43
    You have this idea of [Google X].
  • 17:43 - 17:46
    You don't simply want
  • 17:46 - 17:52
    to go in some small, measurable arena of progress.
  • 17:52 - 17:54
    LP: Yeah, I think
  • 17:54 - 17:56
    many of the things we just
    talked about are like that,
  • 17:56 - 17:59
    where they're really --
  • 17:59 - 18:02
    I almost use the economic concept of additionality,
  • 18:02 - 18:04
    which means that you're doing something
  • 18:04 - 18:07
    that wouldn't happen unless
    you were actually doing it.
  • 18:07 - 18:11
    And I think the more you can do things like that,
  • 18:11 - 18:13
    the bigger impact you have,
  • 18:13 - 18:16
    and that's about doing things
  • 18:16 - 18:19
    that people might not think are possible.
  • 18:19 - 18:21
    And I've been amazed,
  • 18:21 - 18:23
    the more I learn about technology,
  • 18:23 - 18:25
    the more I realize I don't know,
  • 18:25 - 18:29
    and that's because this technological horizon,
  • 18:29 - 18:32
    the thing that you can see to do next,
  • 18:32 - 18:34
    the more you learn about technology,
  • 18:34 - 18:36
    the more you learn what's possible.
  • 18:36 - 18:38
    You learn that the balloons are possible
  • 18:38 - 18:41
    because there's some material
    that will work for them.
  • 18:41 - 18:43
    CR: What's interesting about
    you too, though, for me,
  • 18:43 - 18:45
    is that, we have lots of people
  • 18:45 - 18:47
    who are thinking about the future,
  • 18:47 - 18:50
    and they are going and looking
    and they're coming back,
  • 18:50 - 18:52
    but we never see the implementation.
  • 18:52 - 18:54
    I think of somebody you knew
  • 18:54 - 18:57
    and read about, Tesla.
  • 18:57 - 19:01
    The principle of that for you is what?
  • 19:01 - 19:02
    LP: Well, I think invention is not enough.
  • 19:02 - 19:04
    If you invent something,
  • 19:04 - 19:07
    Tesla invented electric power that we use,
  • 19:07 - 19:10
    but he struggled to get it out to people.
  • 19:10 - 19:11
    That had to be done by other people.
  • 19:11 - 19:13
    It took a long time.
  • 19:13 - 19:17
    And I think if we can actually combine both things,
  • 19:17 - 19:20
    where we have an innovation and invention focus,
  • 19:20 - 19:23
    plus the ability to really -- a company
  • 19:23 - 19:25
    that can really commercialize things
  • 19:25 - 19:27
    and get them to people
  • 19:27 - 19:29
    in a way that's positive for the world
  • 19:29 - 19:31
    and to give people hope.
  • 19:31 - 19:34
    You know, I'm amazed with the Loon Project
  • 19:34 - 19:37
    just how excited people were about that,
  • 19:37 - 19:38
    because it gave them hope
  • 19:38 - 19:40
    for the two thirds of the world
  • 19:40 - 19:43
    that doesn't have Internet right now that's any good.
  • 19:43 - 19:45
    CR: Which is a second thing about corporations.
  • 19:45 - 19:47
    You are one of those people who believe
  • 19:47 - 19:50
    that corporations are an agent of change
  • 19:50 - 19:51
    if they are run well.
  • 19:51 - 19:53
    LP: Yeah. I'm really dismayed
  • 19:53 - 19:56
    most people think companies are basically evil.
  • 19:56 - 19:58
    They get a bad rap.
  • 19:58 - 20:00
    And I think that's somewhat correct.
  • 20:00 - 20:03
    Companies are doing the same incremental thing
  • 20:03 - 20:05
    that they did 50 years ago
  • 20:05 - 20:06
    or 20 years ago.
  • 20:06 - 20:08
    That's not really what we need.
  • 20:08 - 20:10
    We need, especially in technology,
  • 20:10 - 20:12
    we need revolutionary change,
  • 20:12 - 20:14
    not incremental change.
  • 20:14 - 20:15
    CR: You once said, actually,
  • 20:15 - 20:17
    as I think I've got this about right,
  • 20:17 - 20:18
    that you might consider,
  • 20:18 - 20:20
    rather than giving your money,
  • 20:20 - 20:23
    if you were leaving it to some cause,
  • 20:23 - 20:25
    just simply giving it to Elon Musk,
  • 20:25 - 20:26
    because you had confidence
  • 20:26 - 20:28
    that he would change the future,
  • 20:28 - 20:30
    and that you would therefore —
  • 20:30 - 20:32
    LP: Yeah, if you want to go Mars,
  • 20:32 - 20:33
    he wants to go to Mars,
  • 20:33 - 20:35
    to back up humanity,
  • 20:35 - 20:37
    that's a worthy goal, but it's a company,
  • 20:37 - 20:40
    and it's philanthropical.
  • 20:40 - 20:43
    So I think we aim to do kind of similar things.
  • 20:43 - 20:46
    And I think, you ask, we have a lot of employees
  • 20:46 - 20:49
    at Google who have become pretty wealthy.
  • 20:49 - 20:51
    People make a lot of money in technology.
  • 20:51 - 20:54
    A lot of people in the room are pretty wealthy.
  • 20:54 - 20:56
    You're working because you
    want to change the world.
  • 20:56 - 20:58
    You want to make it better.
  • 20:58 - 21:01
    Why isn't the company that you work for
  • 21:01 - 21:03
    worthy not just of your time
  • 21:03 - 21:05
    but your money as well?
  • 21:05 - 21:07
    I mean, but we don't have a concept of that.
  • 21:07 - 21:09
    That's not how we think about companies,
  • 21:09 - 21:11
    and I think it's sad,
  • 21:11 - 21:14
    because companies are most of our effort.
  • 21:14 - 21:17
    They're where most of people's time is,
  • 21:17 - 21:19
    where a lot of the money is,
  • 21:19 - 21:21
    and so I think I'd like for us to help out
  • 21:21 - 21:22
    more than we are.
  • 21:22 - 21:24
    CR: When I close conversations with lots of people,
  • 21:24 - 21:26
    I always ask this question:
  • 21:26 - 21:27
    What state of mind,
  • 21:27 - 21:29
    what quality of mind is it
  • 21:29 - 21:31
    that has served you best?
  • 21:31 - 21:33
    People like Rupert Murdoch have said curiosity,
  • 21:33 - 21:36
    and other people in the media have said that.
  • 21:36 - 21:39
    Bill Gates and Warren Buffett have said focus.
  • 21:39 - 21:40
    What quality of mind,
  • 21:40 - 21:42
    as I leave this audience,
  • 21:42 - 21:45
    has enabled you to think about the future
  • 21:45 - 21:47
    and at the same time
  • 21:47 - 21:49
    change the present?
  • 21:49 - 21:51
    LP: You know, I think the most important thing --
  • 21:51 - 21:52
    I looked at lots of companies
  • 21:52 - 21:56
    and why I thought they don't succeed over time.
  • 21:56 - 21:59
    We've had a more rapid turnover of companies.
  • 21:59 - 22:01
    And I said, what did they fundamentally do wrong?
  • 22:01 - 22:04
    What did those companies all do wrong?
  • 22:04 - 22:07
    And usually it's just that they missed the future.
  • 22:07 - 22:09
    And so I think, for me,
  • 22:09 - 22:12
    I just try to focus on that and say,
  • 22:12 - 22:14
    what is that future really going to be
  • 22:14 - 22:16
    and how do we create it,
  • 22:16 - 22:20
    and how do we cause our organization,
  • 22:20 - 22:23
    to really focus on that
  • 22:23 - 22:26
    and drive that at a really high rate?
  • 22:26 - 22:27
    And so that's been curiosity,
  • 22:27 - 22:29
    it's been looking at things
  • 22:29 - 22:31
    people might not think about,
  • 22:31 - 22:34
    working on things that no one else is working on,
  • 22:34 - 22:37
    because that's where the additionality really is,
  • 22:37 - 22:39
    and be willing to do that,
  • 22:39 - 22:40
    to take that risk.
  • 22:40 - 22:41
    Look at Android.
  • 22:41 - 22:44
    I felt guilty about working on Android
  • 22:44 - 22:45
    when it was starting.
  • 22:45 - 22:47
    It was a little startup we bought.
  • 22:47 - 22:50
    It wasn't really what we were really working on.
  • 22:50 - 22:53
    And I felt guilty about spending time on that.
  • 22:53 - 22:54
    That was stupid.
  • 22:54 - 22:55
    That was the future, right?
  • 22:55 - 22:57
    That was a good thing to be working on.
  • 22:57 - 22:59
    CR: It is great to see you here.
  • 22:59 - 23:00
    It's great to hear from you,
  • 23:00 - 23:02
    and a pleasure to sit at this table with you.
  • 23:02 - 23:03
    Thanks, Larry.
  • 23:03 - 23:06
    LP: Thank you.
  • 23:06 - 23:09
    (Applause)
  • 23:09 - 23:13
    CR: Larry Page.
Title:
Where’s Google going next?
Speaker:
Charlie Rose and Larry Page
Description:

Onstage at TED2014, Charlie Rose interviews Google CEO Larry Page about his far-off vision for the company. It includes aerial bikeways and internet balloons … and then it gets even more interesting, as Page talks through the company’s recent acquisition of Deep Mind, an AI that is learning some surprising things.

more » « less
Video Language:
English
Team:
closed TED
Project:
TEDTalks
Duration:
23:30
  • The name of the company is "DeepMind", not "Deep Mind".
    http://en.wikipedia.org/wiki/DeepMind_Technologies

    I think this should be changed in the description and in the subtitles.
    Thanks!

  • Corrections:

    the Internet, and we'll have a conversation Google,
    the Internet, and we'll have a conversation about Google,

    and a sense of how you've connected the dots
    in the sense of how you've connected the dots

  • Correction:

    00:17:18,793 --> 00:17:20,853
    working with the cities and stuff,

    shoud be

    00:17:18,793 --> 00:17:20,853
    working with the Zippies and stuff,

    Zippie is the nickname of the new automated Google car. See: http://inhabitat.com/nyc/google-signs-agreement-with-nyc-mayor-to-replace-nyc-taxis-with-driverless-google-cabs/

    Cheers!

English subtitles

Revisions Compare revisions