Sergey Brin and Larry Page: The genesis of Google

269,308 views ・ 2007-05-15

TED


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

00:26
Sergey Brin: I want to discuss a question
0
26000
2000
00:28
I know that's been pressing on many of your minds.
1
28000
2000
00:30
We spoke to you last several years ago.
2
30000
3000
00:33
And before I get started today,
3
33000
2000
00:35
since many of you are wondering,
4
35000
3000
00:38
I just wanted to get it out of the way.
5
38000
2000
00:40
The answer is boxers.
6
40000
3000
00:52
Now I hope all of you feel better.
7
52000
2000
00:54
Do you know what this might be? Does anyone know what that is?
8
54000
3000
00:57
Audience: Yes.
9
57000
1000
00:58
SB: What is it?
10
58000
2000
01:00
Audience: It's people logging on to Google around the world.
11
60000
2000
01:02
SB: Wow, OK. I didn't really realize what it was when I first saw it.
12
62000
3000
01:05
But this is what helped me see it.
13
65000
3000
01:08
This is what we run at the office, that actually runs real time.
14
68000
3000
01:11
Here it's slightly logged.
15
71000
2000
01:13
But here you can see around the world
16
73000
2000
01:15
how people are using Google.
17
75000
3000
01:18
And every one of those rising dots
18
78000
2000
01:20
represents probably about 20, 30 searches,
19
80000
3000
01:23
or something like that.
20
83000
2000
01:25
And they're labeled by color right now, by language.
21
85000
4000
01:29
So you can see: here we are in the U.S.,
22
89000
2000
01:31
and they're all coming up red.
23
91000
2000
01:33
There we are in Monterey -- hopefully I can get it right.
24
93000
2000
01:35
You can see that Japan is busy at night,
25
95000
3000
01:38
right there.
26
98000
2000
01:40
We have Tokyo coming in in Japanese.
27
100000
3000
01:43
There's a lot of activity in China.
28
103000
2000
01:45
There's a lot of activity in India.
29
105000
3000
01:48
There's some in the Middle East, the little pockets.
30
108000
4000
01:52
And Europe, which is right now in the middle of the day,
31
112000
3000
01:55
is going really strong with a whole wide variety of languages.
32
115000
4000
02:06
Now you can also see, if I turn this around here --
33
126000
6000
02:14
hopefully I won't shake the world too much.
34
134000
3000
02:17
But you can also see, there are places where there's not so much.
35
137000
3000
02:20
Australia, because there just aren't very many people there.
36
140000
3000
02:23
And this is something that we should really work on,
37
143000
3000
02:26
which is Africa, which is just a few trickles,
38
146000
4000
02:30
basically in South Africa and a few other urban cities.
39
150000
3000
02:33
But basically, what we've noticed is these queries,
40
153000
4000
02:37
which come in at thousands per second,
41
157000
2000
02:39
are available everywhere there is power.
42
159000
3000
02:42
And pretty much everywhere there is power, there is the Internet.
43
162000
3000
02:46
And even in Antarctica -- well, at least this time of year --
44
166000
5000
02:51
we from time to time will see a query rising up.
45
171000
2000
02:53
And if we had it plotted correctly,
46
173000
2000
02:55
I think the International Space Station would have it, too.
47
175000
3000
03:06
So this is
48
186000
2000
03:09
some of the challenge that we have here,
49
189000
4000
03:13
is you can see that it's actually kind of hard to get the --
50
193000
4000
03:22
there we go.
51
202000
2000
03:24
This is how we have to move the bits around
52
204000
1000
03:25
to actually get the people the answers to their questions.
53
205000
2000
03:27
You can see that there's a lot of data running around.
54
207000
4000
03:31
It has to go all over the world: through fibers,
55
211000
3000
03:34
through satellites, through all kinds of connections.
56
214000
2000
03:36
And it's pretty tricky for us to maintain the latencies
57
216000
5000
03:41
as low as we try to. Hopefully your experience is good.
58
221000
4000
03:45
But you can see also, once again -- so some places are much more wired
59
225000
2000
03:47
than others, and you can see all the bandwidth across the U.S.,
60
227000
4000
03:51
going up over to Asia, Europe in the other direction, and so forth.
61
231000
5000
03:56
Now what I would like to do is just to show you
62
236000
3000
03:59
what one second of this activity would look like.
63
239000
4000
04:03
And if we can switch to slides --
64
243000
3000
04:09
all right, here we go.
65
249000
2000
04:11
So this is slowed down.
66
251000
3000
04:17
This is what one second looks like.
67
257000
3000
04:20
And this is what we spend a lot of our time doing,
68
260000
2000
04:22
is just making sure that we can keep up
69
262000
2000
04:24
with this kind of traffic load.
70
264000
2000
04:30
Now, each one of those queries
71
270000
2000
04:32
has an interesting life and tale of its own.
72
272000
2000
04:34
I mean, it could be somebody's health,
73
274000
2000
04:36
it could be somebody's career, something important to them.
74
276000
3000
04:39
And it could potentially be something
75
279000
4000
04:43
as important as tomato sauce,
76
283000
5000
04:48
or in this case, ketchup.
77
288000
3000
04:51
So this is a query that we had --
78
291000
2000
04:54
I guess it's a popular band that was more popular in some parts of the world than others.
79
294000
3000
04:57
You can see that it got started right here.
80
297000
3000
05:00
In the U.S. and Spain, it was popular at the same time.
81
300000
3000
05:03
But it didn't have quite the same pickup in the U.S.
82
303000
2000
05:05
as it did in Spain.
83
305000
2000
05:07
And then from Spain, it went to Italy,
84
307000
2000
05:09
and then Germany got excited, and maybe right now the U.K. is enjoying it.
85
309000
4000
05:13
And so I guess the U.S. finally,
86
313000
2000
05:15
finally started to like it, too.
87
315000
3000
05:18
And I just wanted to play it for you.
88
318000
3000
05:26
Anyway, you can all enjoy it for yourselves --
89
326000
2000
05:28
hopefully that search will work.
90
328000
3000
05:31
As a part of --
91
331000
4000
05:35
you know, part of what we want to do to grow our company
92
335000
2000
05:37
is to have more searches.
93
337000
2000
05:39
And what that means is we want to have
94
339000
2000
05:41
more people who are healthy and educated.
95
341000
5000
05:46
More animals, if they start doing searches as well.
96
346000
4000
05:50
But partly, we want to make the world a better place,
97
350000
5000
05:55
and so one thing that we're embarking upon is the Google Foundation,
98
355000
5000
06:00
and we're in the process of setting that up.
99
360000
2000
06:02
We also have a program already called Google Grants
100
362000
3000
06:05
that now serves over 150 different charities around the world,
101
365000
3000
06:08
and these are some of the charities that are on there.
102
368000
2000
06:10
And it's something I'm very excited to be a part of.
103
370000
5000
06:15
In fact, many of the organizations that are here --
104
375000
2000
06:17
the Acumen Fund, I think ApproTEC we have running, I'm not sure if that one's up yet --
105
377000
4000
06:23
and many of the people who have presented here are running through Google Grants.
106
383000
3000
06:26
They run Google ads, and we just give them the ad credit
107
386000
3000
06:29
so they can let organizations know.
108
389000
4000
06:33
One of the earlier results that we got --
109
393000
2000
06:35
we have a Singaporean businessman who is now sponsoring a village
110
395000
3000
06:38
of 25 Vietnamese girls for their education,
111
398000
4000
06:42
and that was one of the earliest results. And as I said, now there have been
112
402000
3000
06:45
many, many stories that have come in,
113
405000
2000
06:47
because we do have hundreds of charities in there,
114
407000
2000
06:49
and the Google Foundation will be an even broader endeavor.
115
409000
4000
06:54
Now does anybody know who this is?
116
414000
2000
07:00
A-ha!
117
420000
1000
07:01
Audience: Orkut.
118
421000
1000
07:02
SB: Yes! Somebody got it.
119
422000
2000
07:04
This is Orkut. Is anybody here on Orkut?
120
424000
3000
07:07
Do we have any?
121
427000
2000
07:09
Okay, not very many people know about it.
122
429000
1000
07:10
I'll explain it in a second.
123
430000
2000
07:12
This is one of our engineers.
124
432000
2000
07:14
We find that they work better when they're submerged and covered with leaves.
125
434000
4000
07:19
That's how we churn those products out.
126
439000
3000
07:22
Orkut had a vision to create a social network.
127
442000
5000
07:27
I know all of you are thinking, "Yet another social network."
128
447000
2000
07:29
But it was a dream of his, and we, basically,
129
449000
3000
07:32
when people really want to do something, well, we generally let them.
130
452000
3000
07:35
So this is what he built.
131
455000
3000
07:38
We just released it in a test phase last month,
132
458000
4000
07:42
and it's been taking off.
133
462000
2000
07:44
This is our VP of Engineering.
134
464000
2000
07:46
You can see the red hair, and I don't know if you can see the nose ring there.
135
466000
5000
07:51
And these are all of his friends.
136
471000
3000
07:54
So this is how -- we just deployed it --
137
474000
7000
08:01
we just decided that people would send each other invitations to get into the service,
138
481000
3000
08:04
and so we just had the people in our company initially send them out.
139
484000
5000
08:09
And now we've grown to over 100,000 members.
140
489000
4000
08:13
And they spread, actually, very quickly, even outside the U.S.
141
493000
3000
08:16
You can see, even though the U.S. is still the majority here --
142
496000
3000
08:19
though, by the way, search-wise, it's only about 30 percent of our traffic --
143
499000
4000
08:23
but it's already going to Japan, and the U.K., and Europe,
144
503000
3000
08:26
and all the rest of the countries.
145
506000
2000
08:28
So it's a fun little project.
146
508000
2000
08:30
There are a variety of demographics. I won't bore you with these.
147
510000
3000
08:33
But it's just the kind of thing that we just try out for fun
148
513000
3000
08:36
and see where it goes.
149
516000
2000
08:38
And --
150
518000
2000
08:40
well, I'll leave you in suspense.
151
520000
2000
08:42
Larry, you can explain this one.
152
522000
2000
08:44
Larry Page: Thank you, Sergey.
153
524000
3000
08:47
So one of the things -- both Sergey and I
154
527000
2000
08:49
went to a Montessori school,
155
529000
2000
08:51
and I think, for some reason,
156
531000
3000
08:54
this has been incorporated in Google.
157
534000
3000
08:57
And Sergey mentioned Orkut, which is something that,
158
537000
3000
09:00
you know, Orkut wanted to do in his time,
159
540000
3000
09:04
and we call this -- at Google, we've embodied this as "the 20 percent time,"
160
544000
3000
09:07
and the idea is, for 20 percent of your time,
161
547000
3000
09:10
if you're working at Google, you can do what you think is the best thing to do.
162
550000
3000
09:13
And many, many things at Google have come out of that,
163
553000
3000
09:17
such as Orkut and also Google News.
164
557000
3000
09:20
And I think many other things in the world also have come out of this.
165
560000
4000
09:24
Mendel, who was supposed to be teaching high-school students,
166
564000
3000
09:27
actually, you know, discovered the laws of genetics --
167
567000
3000
09:30
as a hobby, basically.
168
570000
2000
09:32
So many, many useful things come out of this.
169
572000
4000
09:36
And News, which I just mentioned,
170
576000
2000
09:39
was started by a researcher.
171
579000
3000
09:42
And he just -- he -- after 9/11, he got really interested in the news.
172
582000
3000
09:45
And he said, "Why don't I look at the news better?"
173
585000
5000
09:50
And so he started clustering it by category,
174
590000
3000
09:53
and then he started using it, and then his friends started using it.
175
593000
3000
09:56
And then, besides just looking cute on a baby's bottom,
176
596000
5000
10:01
we made it a Googlette,
177
601000
2000
10:03
which is basically a small project at Google.
178
603000
3000
10:06
So it'd be like three people, or something like that,
179
606000
3000
10:09
and they would try to make a product.
180
609000
2000
10:11
And we wouldn't really be sure if it's going to work or not.
181
611000
2000
10:13
And in News' case, you know, they had a couple of people
182
613000
4000
10:17
working on it for a while, and then more and more people
183
617000
2000
10:19
started using it, and then we put it out on the Internet,
184
619000
2000
10:21
and more and more people started using it.
185
621000
2000
10:23
And now it's a real, full-blown project with more people on it.
186
623000
3000
10:26
And this is how we keep our innovation running.
187
626000
3000
10:29
I think usually, as companies get bigger,
188
629000
3000
10:32
they find it really hard to have small, innovative projects.
189
632000
3000
10:35
And we had this problem, too, for a while, and we said,
190
635000
3000
10:38
"Oh, we really need a new concept."
191
638000
2000
10:40
You know, the Googlettes -- that's a small project that we're not quite sure if it's going to work or not,
192
640000
4000
10:44
but we hope it will, and if we do enough of them,
193
644000
3000
10:47
some of them will really work and turn out, such as News.
194
647000
4000
10:51
But then we had a problem because then we had over 100 projects.
195
651000
4000
10:55
And I don't know about all of you,
196
655000
2000
10:57
but I have trouble keeping 100 things in my head at once.
197
657000
3000
11:00
And we found that if we just wrote all of them down
198
660000
4000
11:04
and ordered them -- and these are kind of made up.
199
664000
3000
11:07
Don't really pay attention to them.
200
667000
2000
11:09
For example, the "Buy Iceland" was from a media article.
201
669000
3000
11:12
We would never do such a crazy thing, but --
202
672000
2000
11:17
in any case, we found if we just basically wrote them all down and ordered them,
203
677000
4000
11:21
that most people would actually agree what the ordering should be.
204
681000
4000
11:25
And this was kind of a surprise to me, but
205
685000
2000
11:27
we found that as long as you keep the 100 things in your head,
206
687000
3000
11:30
which you did by writing them down,
207
690000
2000
11:32
that you could do a pretty good job deciding what to do
208
692000
2000
11:34
and where to put your resources.
209
694000
3000
11:37
And so that's basically what we've done
210
697000
2000
11:39
since we instituted that a few years ago, and I think it has really allowed us to be innovative
211
699000
4000
11:43
and still stay reasonably well-organized.
212
703000
3000
11:46
The other thing we discovered is that people like to work on things that are important,
213
706000
3000
11:49
and so naturally,
214
709000
2000
11:51
people sort of migrate to the things that are high priorities.
215
711000
6000
11:57
I just wanted to highlight a couple of things
216
717000
2000
11:59
that are new, or you might not know about.
217
719000
3000
12:02
And the top thing, actually, is the Deskbar.
218
722000
3000
12:05
So this is a new -- how many of you use the Google Toolbar?
219
725000
3000
12:08
Raise your hands.
220
728000
2000
12:10
How many of you use the Deskbar?
221
730000
3000
12:13
All right, see? You guys should try it out.
222
733000
2000
12:15
But if you go to our site and search
223
735000
2000
12:17
for "Deskbar," you'll get this.
224
737000
2000
12:19
And the idea is, instead of a toolbar, it's just present all the time
225
739000
2000
12:21
on your screen on the bottom,
226
741000
2000
12:23
and you can do searches really easily.
227
743000
3000
12:26
And it's sort of like a better version of the toolbar.
228
746000
2000
12:28
Thank you, Sergey.
229
748000
2000
12:34
This is another example of a project that somebody at Google
230
754000
2000
12:36
was really passionate about, and they just, they got going,
231
756000
3000
12:39
and it's really, really a great product, and really taking off.
232
759000
3000
12:42
Google Answers is something we started, which is really cool,
233
762000
4000
12:46
which lets you -- for five to 100 dollars,
234
766000
3000
12:49
you can type a question in,
235
769000
2000
12:51
and then there's a pool of researchers
236
771000
2000
12:53
that go out and research it for you, and it's guaranteed and all that,
237
773000
4000
12:57
and you can get actually very good answers to things
238
777000
2000
12:59
without spending all that time yourself.
239
779000
2000
13:01
Froogle lets you search shopping information,
240
781000
3000
13:04
and Blogger lets you publish things.
241
784000
2000
13:06
But all of these -- well, these were all sort of innovative things that we did that --
242
786000
4000
13:10
you know, we try many, many different things
243
790000
3000
13:13
in our company.
244
793000
1000
13:14
We also like to innovate in our physical space,
245
794000
2000
13:16
and we noticed in meetings, you know, you have to wait a long time
246
796000
3000
13:19
for projectors to turn on and off,
247
799000
3000
13:22
and they're noisy, so people shut them off.
248
802000
2000
13:24
And we didn't like that, so we actually,
249
804000
2000
13:26
in maybe a couple of weeks, we built these little enclosures
250
806000
5000
13:31
that enclosed the projectors, and so we can leave them on all the time
251
811000
2000
13:33
and they're completely silent.
252
813000
3000
13:36
And as a result, we were able to build some software
253
816000
2000
13:38
that also lets us manage a meeting,
254
818000
2000
13:40
so when you walk into a meeting room now,
255
820000
2000
13:42
it lists all the meetings that are happening,
256
822000
2000
13:44
you can very easily take notes, and they just get emailed automatically
257
824000
2000
13:46
to all the people that were present in the meeting.
258
826000
3000
13:49
And as we become more of a global company,
259
829000
3000
13:52
we find these things really affect us --
260
832000
2000
13:54
you know, can we work effectively with people who aren't in the room?
261
834000
3000
13:57
And things like that. And simple things like this can really make a big difference.
262
837000
3000
14:01
We also have a lot of engineers in those meetings,
263
841000
5000
14:06
and they don't always do their laundry as much as they should.
264
846000
4000
14:13
And so we found it was pretty helpful
265
853000
2000
14:15
to have laundry machines, for our younger employees especially, and ...
266
855000
4000
14:22
we also allow dogs and things like that,
267
862000
3000
14:25
and we've had, I think, a really fun culture at our company,
268
865000
3000
14:28
which helps people work and enjoy what they're doing.
269
868000
3000
14:31
This is actually our "cult picture."
270
871000
2000
14:33
I just wanted to show quickly.
271
873000
2000
14:38
We had this on our website for a while,
272
878000
2000
14:40
but we found that after we put it on our website,
273
880000
3000
14:43
we didn't get any job applications anymore.
274
883000
3000
14:48
But anyway, every year we've taken
275
888000
2000
14:50
the whole company on a ski trip.
276
890000
2000
14:52
A lot of work happens in companies from people knowing each other, and informally.
277
892000
4000
14:56
And I think we've done a good job encouraging that.
278
896000
3000
15:00
It makes it a really fun place to work.
279
900000
2000
15:02
Along with our logos, too, which I think really embody
280
902000
3000
15:05
our culture when we change things.
281
905000
3000
15:08
In the early days, we were actually advised
282
908000
1000
15:09
we should never change our logo because
283
909000
3000
15:13
we should establish our brand, you know,
284
913000
2000
15:15
because, you know, you'd never want to change your logo.
285
915000
2000
15:17
You want it to be consistent.
286
917000
2000
15:19
And we said, "Well, that doesn't sound so much fun.
287
919000
2000
15:21
Why don't we try changing it every day?"
288
921000
2000
15:26
One of the things that really excites me about what we're doing now
289
926000
3000
15:29
is we have this thing called AdSense,
290
929000
2000
15:31
and this is a little bit foreshadowing --
291
931000
4000
15:35
this is from before Dean dropped out.
292
935000
3000
15:38
But the idea is, like, on a newspaper, for example,
293
938000
2000
15:40
we show you relevant ads.
294
940000
2000
15:42
And this is hard to read, but this says "Battle for New Hampshire:
295
942000
2000
15:44
Howard Dean for President" -- articles on Howard Dean.
296
944000
4000
15:48
And these ads are generated automatically --
297
948000
2000
15:51
like in this case, on the Washington Post --
298
951000
1000
15:52
from the content on the site.
299
952000
2000
15:54
And so we use our over 150,000 advertisers
300
954000
4000
15:58
and millions of advertisements, so we pick the one
301
958000
2000
16:00
that's most relevant to what you're actually looking at,
302
960000
2000
16:02
much as we do on search.
303
962000
2000
16:04
So the idea is we can make advertising useful,
304
964000
3000
16:07
not just annoying, right?
305
967000
2000
16:09
And the nice thing about this,
306
969000
2000
16:11
we have a self-serve program,
307
971000
2000
16:13
and many thousands of websites have signed up,
308
973000
3000
16:16
and this let's them really make money. And I --
309
976000
2000
16:18
you know, there's a number of people I met --
310
978000
2000
16:20
I met this guy who runs a conservation site at a party,
311
980000
3000
16:23
and he said, "You know, I wasn't making any money.
312
983000
2000
16:25
I just put this thing on my site and I'm making 10,000 dollars a month.
313
985000
4000
16:29
And, you know, thank you.
314
989000
2000
16:31
I don't have to do my other job now."
315
991000
2000
16:33
And I think this is really important for us, because it makes the Internet work better.
316
993000
3000
16:36
It makes content get better, it makes searching work better,
317
996000
3000
16:39
when people can really make their livelihood
318
999000
2000
16:41
from producing great content.
319
1001000
3000
16:46
So this session is supposed to be about the future,
320
1006000
3000
16:49
so I'd thought I'd talk at least briefly about it.
321
1009000
3000
16:52
And the idea behind this is to do the perfect job doing search,
322
1012000
3000
16:55
you really have to be smart.
323
1015000
2000
16:57
Because you can type, you know, any kind of thing into Google,
324
1017000
3000
17:00
and you expect an answer back, right?
325
1020000
3000
17:03
But finding things is tricky, and so you really want intelligence.
326
1023000
4000
17:07
And in fact, the ultimate search engine would be smart.
327
1027000
3000
17:10
It would be artificial intelligence.
328
1030000
2000
17:12
And so that's something we work on,
329
1032000
2000
17:14
and we even have some people who are excited enough
330
1034000
2000
17:16
and crazy enough to work on it now,
331
1036000
2000
17:18
and that's really their goal.
332
1038000
2000
17:20
So we always hope that Google will be smart,
333
1040000
2000
17:22
but we're always surprised when other people think that it is.
334
1042000
3000
17:25
And so I just wanted to give a funny example of this.
335
1045000
3000
17:28
This is a blog from Iraq,
336
1048000
2000
17:30
and it's not really what
337
1050000
2000
17:32
I'm going to talk about, but I just wanted to show you an example.
338
1052000
2000
17:34
Maybe, Sergey, you can highlight this.
339
1054000
2000
17:36
So we decided --
340
1056000
2000
17:42
actually, the highlight's right there. Oh, thank you.
341
1062000
3000
17:47
So, "related searches," right there. You can't see it that well,
342
1067000
5000
17:52
but we decided we should put in this feature
343
1072000
2000
17:54
into our AdSense ads, called "related searches."
344
1074000
3000
17:57
And so we'd say, you know, "Did you mean 'search for'" -- what is this,
345
1077000
3000
18:00
in this case, "Saddam Hussein," because this blog is about Iraq --
346
1080000
3000
18:03
and you know, in addition to the ads,
347
1083000
2000
18:05
and we thought this would be a great idea.
348
1085000
3000
18:08
And so there is this blog
349
1088000
2000
18:10
of a young person who was kind of depressed, and he said,
350
1090000
5000
18:15
"You know, I'm sleeping a lot."
351
1095000
2000
18:17
He was just kind of writing about his life.
352
1097000
2000
18:19
And our algorithms -- not a person, of course,
353
1099000
3000
18:22
but our algorithms, our computers --
354
1102000
2000
18:24
read his blog and decided that
355
1104000
2000
18:26
the related search was, "I am bored."
356
1106000
2000
18:28
And he read this, and he thought a person had decided
357
1108000
3000
18:31
that he was boring,
358
1111000
2000
18:33
and it was very unfortunate,
359
1113000
3000
18:36
and he said, "You know, what are these, you know, bastards at Google doing?
360
1116000
4000
18:40
Why don't they like my blog?"
361
1120000
2000
18:42
And so then we read his blog, which was getting -- you know,
362
1122000
2000
18:45
sort of going from bad to worse,
363
1125000
3000
18:48
and we said the related search was, "Retards."
364
1128000
2000
18:53
And then, you know, he got even more mad,
365
1133000
2000
18:55
and he wrote -- like, started swearing and so on.
366
1135000
2000
18:57
And then we produced "You suck."
367
1137000
3000
19:00
And finally, it ended with "Kiss my ass."
368
1140000
3000
19:05
And so basically, he thought he was dealing with something smart,
369
1145000
2000
19:07
and of course, you know,
370
1147000
2000
19:09
we just sort of wrote this program and we tried it out,
371
1149000
2000
19:11
and it didn't quite work,
372
1151000
3000
19:14
and we don't have this feature anymore.
373
1154000
2000
19:18
So with that, maybe I can switch back to the world.
374
1158000
3000
19:21
I wanted to end just by saying that
375
1161000
2000
19:23
there's a couple things that really make me excited
376
1163000
2000
19:25
to be involved with Google,
377
1165000
3000
19:28
and one of those is that we're able to make money
378
1168000
4000
19:32
largely through advertising, and one of the benefits that I didn't expect from that
379
1172000
3000
19:35
was that we're able to serve everyone in the world
380
1175000
3000
19:38
without worrying about, you know, places that don't have as much money.
381
1178000
5000
19:43
So we don't have to worry about our products being sold,
382
1183000
3000
19:46
for example, for less money in places that are poor,
383
1186000
3000
19:49
and then they get re-imported into the U.S. --
384
1189000
2000
19:51
for example, with the drug industry.
385
1191000
2000
19:53
And I think we're really lucky to have that kind of business model
386
1193000
3000
19:56
because everyone in the world has access to our search,
387
1196000
3000
19:59
and I think that's a tremendous, tremendous benefit.
388
1199000
3000
20:02
The other thing I wanted to mention just briefly
389
1202000
3000
20:05
is that we have a tremendous ability and responsibility
390
1205000
6000
20:11
to provide people the right information,
391
1211000
3000
20:14
and we view ourselves like a newspaper or a magazine --
392
1214000
2000
20:16
that we should provide very objective information.
393
1216000
3000
20:19
And so in our search results, we never accept payment for our search results.
394
1219000
3000
20:22
We accept payment for advertising,
395
1222000
3000
20:25
and we mark it as such.
396
1225000
2000
20:27
And that's unlike many of our competitors.
397
1227000
2000
20:29
And I think decisions we're able to make like that
398
1229000
3000
20:32
have a tremendous impact on the world,
399
1232000
2000
20:34
and it makes me really proud to be involved with Google.
400
1234000
2000
20:36
So thank you.
401
1236000
2000
About this website

This site will introduce you to YouTube videos that are useful for learning English. You will see English lessons taught by top-notch teachers from around the world. Double-click on the English subtitles displayed on each video page to play the video from there. The subtitles scroll in sync with the video playback. If you have any comments or requests, please contact us using this contact form.

https://forms.gle/WvT1wiN1qDtmnspy7