WEBVTT 00:00:02.058 --> 00:00:04.882 Hello. Well, let me start by asking you a question: 00:00:05.537 --> 00:00:08.905 How many of you had to fill out some sort of web form 00:00:08.929 --> 00:00:13.318 where you've been asked to read a distorted sequence of characters? 00:00:16.163 --> 00:00:18.097 How many of you found it really annoying? 00:00:18.611 --> 00:00:20.761 Okay, outstanding. So I invented that. 00:00:20.761 --> 00:00:22.373 (Laughter) 00:00:22.397 --> 00:00:25.848 (Applause) 00:00:29.954 --> 00:00:31.789 That thing is called a CAPTCHA. 00:00:31.789 --> 00:00:35.837 And it is there to make sure the entity filling out the form 00:00:35.861 --> 00:00:38.713 is actually a human and not some sort of computer program 00:00:38.737 --> 00:00:43.084 that was written to submit the form millions and millions of times. 00:00:43.108 --> 00:00:45.014 The reason it works is because humans 00:00:45.038 --> 00:00:47.443 have no trouble reading these squiggly characters, 00:00:47.467 --> 00:00:50.308 whereas computer programs simply can't do it as well yet. 00:00:50.332 --> 00:00:54.276 For example, when you're buying tickets online for attending a concert 00:00:54.276 --> 00:00:57.494 the reason you have to type 00:00:57.518 --> 00:01:02.183 these distorted characters is to prevent 00:01:02.207 --> 00:01:04.155 scalpers from writing a program 00:01:04.179 --> 00:01:07.004 that can buy millions of tickets, two at a time. 00:01:07.028 --> 00:01:08.956 CAPTCHAs are used all over the Internet. 00:01:08.980 --> 00:01:10.511 And since they're used so often, 00:01:10.535 --> 00:01:15.822 a lot of times the precise sequence of random characters shown to the user 00:01:15.846 --> 00:01:17.422 is not so fortunate. 00:01:17.446 --> 00:01:20.923 So this is an example from Yahoo. 00:01:20.947 --> 00:01:23.314 The random characters that happened 00:01:23.338 --> 00:01:27.306 to be shown to the user were W, A, I, T 00:01:27.330 --> 00:01:29.621 which spells a word. 00:01:29.645 --> 00:01:32.564 But the best part is the message that the Yahoo help desk 00:01:32.588 --> 00:01:35.634 got about 20 minutes later. 00:01:35.658 --> 00:01:38.358 ["Help! I've been waiting for over 20 minutes, 00:01:38.382 --> 00:01:41.800 and nothing happens."] (Laughter) 00:01:42.390 --> 00:01:45.734 This of course, is not as bad as this poor person. 00:01:45.758 --> 00:01:49.017 [REBOOT] (Laughter) 00:01:49.041 --> 00:01:51.549 I can tell funny stories about captchas for hours 00:01:51.573 --> 00:01:53.409 but since I cannot do that 00:01:53.433 --> 00:01:56.218 let me tell you about a project that we did afterwards 00:01:56.242 --> 00:01:58.463 which is sort of the next evolution of CAPTCHA. 00:01:58.488 --> 00:01:59.845 We call it reCAPTCHA, 00:01:59.869 --> 00:02:03.251 which is something that we started at the University, 00:02:03.275 --> 00:02:05.431 and then we turned it into a startup company. 00:02:05.455 --> 00:02:07.374 And then Google acquired this company. 00:02:07.399 --> 00:02:09.917 so, all what I'm going to say for the next 5 minutes 00:02:09.941 --> 00:02:11.505 is owned by Google. 00:02:11.529 --> 00:02:14.751 So, please, do not spread the word. 00:02:14.775 --> 00:02:18.633 So let me tell you how this project started. 00:02:18.657 --> 00:02:23.127 It turns out that about 200 million CAPTCHAs are typed everyday. 00:02:23.151 --> 00:02:26.239 When I first heard this, I was quite proud of myself. 00:02:26.263 --> 00:02:29.266 I thought, "look at the impact that my research has had." 00:02:29.290 --> 00:02:31.205 But then I started feeling bad. 00:02:31.229 --> 00:02:33.108 They are not only obnoxious, but also 00:02:33.133 --> 00:02:36.577 each time you type a CAPTCHA 00:02:36.601 --> 00:02:38.933 essentially you waste 10 seconds of your time. 00:02:38.957 --> 00:02:42.684 And if you multiply that by 200 million you get that 00:02:42.708 --> 00:02:46.722 humanity as a whole is wasting about 500,000 hours every day 00:02:46.746 --> 00:02:48.949 typing these annoying CAPTCHAs. 00:02:48.973 --> 00:02:51.417 So then I started feeling bad. 00:02:51.441 --> 00:02:54.469 And then I started thinking, is there any way 00:02:54.493 --> 00:02:58.341 we can use this effort for something that is good for humanity? 00:02:58.365 --> 00:03:03.695 While you're typing a CAPTCHA, during those 10 seconds, 00:03:03.719 --> 00:03:05.844 your brain is doing something amazing. 00:03:05.868 --> 00:03:09.576 Your brain is doing something that computers cannot yet do. 00:03:09.600 --> 00:03:11.432 So can we get you to do some 00:03:11.456 --> 00:03:13.166 useful work to mankind? 00:03:13.190 --> 00:03:14.371 Putting it differently, 00:03:14.396 --> 00:03:16.977 is there some humongous problem that we cannot yet get 00:03:17.001 --> 00:03:18.523 computers to solve, 00:03:18.547 --> 00:03:20.675 yet we can split into tiny chunks 00:03:20.699 --> 00:03:22.856 such that each time somebody solves a CAPTCHA 00:03:22.881 --> 00:03:24.934 they solve a little bit of this problem? 00:03:24.957 --> 00:03:27.868 The answer to that is "yes," and this is what we're doing now. 00:03:27.893 --> 00:03:32.591 So what you may not know is that nowadays while you're typing a CAPTCHA, 00:03:32.615 --> 00:03:35.772 not only are you authenticating yourself as a human, 00:03:35.796 --> 00:03:38.676 but in addition you're actually helping us to digitize books. 00:03:38.827 --> 00:03:40.616 So let me explain how this works. 00:03:40.640 --> 00:03:44.297 So there's a lot of projects out there trying to digitize the existing books. 00:03:44.322 --> 00:03:45.749 Google is digitizing books. 00:03:45.773 --> 00:03:48.418 Amazon, with the Kindle, is digitizing books. 00:03:48.443 --> 00:03:51.116 The way this works is you start with an old book. 00:03:51.141 --> 00:03:53.142 You've seen those things, right? 00:03:53.166 --> 00:03:54.204 Like a book? 00:03:54.229 --> 00:03:55.557 (Laughter) 00:03:55.582 --> 00:03:58.063 So you start with a book, and then you scan it. 00:03:58.087 --> 00:04:03.549 Now scanning a book is like taking a digital photograph of every page. 00:04:07.567 --> 00:04:09.883 The next step in the process is that the computer 00:04:09.908 --> 00:04:15.128 needs to be able to decipher all of the words in this image. 00:04:15.152 --> 00:04:18.815 Now the problem is that for older books that were written several years ago 00:04:18.839 --> 00:04:21.291 the computer cannot recognize a lot of the words 00:04:21.315 --> 00:04:25.119 because the ink has faded and the pages have turned yellow. 00:04:25.143 --> 00:04:26.953 Thus the words look a bit different 00:04:26.977 --> 00:04:29.803 and the computer cannot recognize them. 00:04:29.827 --> 00:04:32.468 So, for books that were written more than 50 years ago, 00:04:32.493 --> 00:04:35.895 the computer cannot recognize about 30 percent of the words. 00:04:35.919 --> 00:04:37.084 So what we're doing now 00:04:37.109 --> 00:04:40.400 is we're taking all of the words that the computer cannot recognize 00:04:40.425 --> 00:04:43.824 and we're getting people to read them for us while they're typing 00:04:43.848 --> 00:04:45.311 a CAPTCHA on the Internet. 00:04:45.335 --> 00:04:47.727 So, the next time you type a CAPTCHA - 00:04:47.751 --> 00:04:54.322 (Applause) 00:04:54.346 --> 00:04:57.535 these words that you're typing 00:04:57.559 --> 00:05:00.927 are actually words that are coming from books that are being digitized 00:05:00.951 --> 00:05:03.145 that the computer could not recognize. 00:05:03.169 --> 00:05:06.958 And now the reason we have two words nowadays instead of one 00:05:06.982 --> 00:05:12.167 is because we need to verify if the answer is correct. 00:05:13.588 --> 00:05:17.682 Because one of the words is such that the system knows what it was, 00:05:17.706 --> 00:05:20.728 and the other is a word that the system just got out of a book, 00:05:20.753 --> 00:05:23.538 it didn't know what it was, and it's presented to you. 00:05:24.014 --> 00:05:27.069 We're going to ask you to type both words. 00:05:27.093 --> 00:05:29.072 And we won't tell you which one's which. 00:05:29.096 --> 00:05:30.682 And if you type the correct word 00:05:30.707 --> 00:05:33.483 for the one for which the system already knows the answer, 00:05:33.508 --> 00:05:35.069 it assumes you are human, 00:05:35.093 --> 00:05:39.600 and it also gets some confidence that you typed the other word correctly. 00:05:39.624 --> 00:05:43.264 And if we repeat this process to like 10 different people 00:05:43.288 --> 00:05:45.582 and all of them agree on what the new word is, 00:05:45.606 --> 00:05:47.884 we are very confident that this new word 00:05:47.908 --> 00:05:49.850 was accurately digitized. 00:05:49.874 --> 00:05:51.920 So this is how the system works. 00:05:51.944 --> 00:05:54.396 The good thing is that it has been very successful. 00:05:54.428 --> 00:05:57.825 We're digitizing about 100 million words a day, 00:05:57.849 --> 00:06:01.513 which is the equivalent of about two million books a year. 00:06:01.537 --> 00:06:04.436 And this is all being done one word at a time 00:06:04.460 --> 00:06:07.016 by just people typing CAPTCHAs on the Internet. 00:06:07.040 --> 00:06:10.672 Now, since we're doing so many words per day, 00:06:10.696 --> 00:06:14.724 funny things can happen. 00:06:14.748 --> 00:06:18.286 And this is especially true because now we're giving people 00:06:18.310 --> 00:06:21.676 two randomly chosen English words next to each other. 00:06:21.700 --> 00:06:23.976 So funny things can happen. 00:06:24.000 --> 00:06:25.976 For example, we presented this word. 00:06:26.000 --> 00:06:30.284 It's the word "Christians"; there's nothing wrong with it. 00:06:30.308 --> 00:06:33.976 But if you present it along with another randomly chosen word, 00:06:34.000 --> 00:06:35.276 bad things can happen. 00:06:35.300 --> 00:06:38.128 So we get this. [bad Christians] 00:06:38.152 --> 00:06:39.317 (Laughter) 00:06:39.341 --> 00:06:40.860 It's quite funny. 00:06:40.884 --> 00:06:43.316 But it's even worse, because the particular website 00:06:43.340 --> 00:06:45.251 where we showed this 00:06:45.275 --> 00:06:50.080 actually happened to be called The Embassy of the Kingdom of God. 00:06:50.104 --> 00:06:51.841 (Laughter) 00:06:51.865 --> 00:06:52.959 Oops! 00:06:52.984 --> 00:06:54.882 Here's another really bad one. 00:06:54.906 --> 00:06:59.417 American politician, JohnEdwards.com [Damn liberal] 00:06:59.441 --> 00:07:03.691 (Laughter) 00:07:03.715 --> 00:07:06.836 So we keep on insulting people everyday. 00:07:06.860 --> 00:07:08.971 Now, we're not just insulting people. 00:07:08.995 --> 00:07:11.851 Quite often, interesting things can happen. 00:07:11.875 --> 00:07:15.009 So this actually has given rise to an Internet meme 00:07:15.033 --> 00:07:17.367 that millions of people have participated in, 00:07:17.391 --> 00:07:20.173 which is called CAPTCHA art. 00:07:20.197 --> 00:07:21.759 Here's how it works. 00:07:21.783 --> 00:07:25.505 Imagine you're using the Internet and you see a CAPTCHA 00:07:25.529 --> 00:07:27.917 that you think is somewhat peculiar, 00:07:27.941 --> 00:07:30.204 like this CAPTCHA. 00:07:30.228 --> 00:07:33.484 Then what you're supposed to do is you take a screen shot of it. 00:07:33.508 --> 00:07:35.395 Then of course, you fill out the CAPTCHA 00:07:35.420 --> 00:07:38.119 because you help us digitize a book, please. 00:07:38.143 --> 00:07:40.160 But then, first you take a screen shot, 00:07:40.184 --> 00:07:44.389 and then you draw something that is related to it, like this. 00:07:44.413 --> 00:07:46.082 [invisible toaster] 00:07:46.106 --> 00:07:47.136 (Laughter) 00:07:47.161 --> 00:07:50.639 It's just an example of CAPTCHA art. 00:07:50.662 --> 00:07:54.359 There are tens of thousands of these. Some of them are interesting. 00:07:54.383 --> 00:07:57.672 Some of them are very cute. [clenched it!] 00:07:57.696 --> 00:08:01.190 Some of them are funnier. 00:08:01.214 --> 00:08:07.551 [stoned founders] (Laughter) 00:08:07.575 --> 00:08:11.761 This is my favorite number of this whole project: 900 millions. 00:08:11.785 --> 00:08:14.921 This is the number of distinct people 00:08:14.945 --> 00:08:17.307 that have helped us digitize at least one word 00:08:17.331 --> 00:08:19.067 out of a book through reCAPTCHA. 00:08:19.091 --> 00:08:21.186 A little over 10% of the world's population, 00:08:21.211 --> 00:08:22.946 has helped digitize human knowledge. 00:08:22.970 --> 00:08:25.992 And it is numbers like these that motivate my research agenda. 00:08:26.016 --> 00:08:29.553 So the question that motivates my research is the following: 00:08:29.577 --> 00:08:32.626 If you look at humanity's large-scale achievements, 00:08:32.652 --> 00:08:35.371 these really big things that humanity has gotten together 00:08:35.397 --> 00:08:40.099 like building the pyramids of Egypt or the Panama Canal 00:08:40.123 --> 00:08:42.357 or putting a man on the Moon -- 00:08:42.381 --> 00:08:44.813 there is a curious fact about them, 00:08:44.837 --> 00:08:48.268 and it is that they were all done with about the same number of people. 00:08:48.292 --> 00:08:50.836 They were all done with about 100,000 people. 00:08:50.860 --> 00:08:53.231 We can ask ourselves why is that all of them used 00:08:53.256 --> 00:08:54.842 about the same number of people. 00:08:54.867 --> 00:08:57.368 The reason for that is because, before the Internet, 00:08:57.393 --> 00:09:00.797 coordinating more than 100,000 people was impossible. 00:09:00.821 --> 00:09:03.535 But now with the Internet, I've just shown you a project 00:09:03.559 --> 00:09:06.433 where we've coordinated 900 million people. 00:09:06.457 --> 00:09:08.734 So the question that motivates my research is, 00:09:08.758 --> 00:09:11.238 if we can put a man on the Moon with 100,000 people, 00:09:11.262 --> 00:09:14.219 what can we do with 100 million people? 00:09:14.243 --> 00:09:17.371 Based on this question, we've been working on a lot of projects. 00:09:17.395 --> 00:09:19.397 I will not tell you about all we have done. 00:09:19.421 --> 00:09:22.446 But, let me tell you about one that we are working on now. 00:09:22.470 --> 00:09:25.479 We've been working on this for about two years now. 00:09:25.503 --> 00:09:29.737 And we're going to launch it in about 30 days. 00:09:29.761 --> 00:09:32.511 It's called Duolingo. 00:09:32.535 --> 00:09:35.484 This project started asking the following question: 00:09:35.508 --> 00:09:39.798 How can we get 100 million people 00:09:39.822 --> 00:09:45.173 translating the Web into every major language for free? 00:09:45.197 --> 00:09:47.736 So there's a lot of things to say about this question. 00:09:47.760 --> 00:09:49.441 First of all, translating the Web. 00:09:49.466 --> 00:09:51.960 Right now it is partitioned into multiple languages. 00:09:51.984 --> 00:09:54.065 A large fraction of it is in English. 00:09:54.089 --> 00:09:56.524 If you don't know any English, you can't access it. 00:09:56.548 --> 00:09:58.618 But large fractions are in other languages, 00:09:58.643 --> 00:10:01.443 and if you don't know the languages you can't access them. 00:10:01.468 --> 00:10:05.026 I would like to translate all of the Web into every major language. 00:10:05.310 --> 00:10:08.209 Now some of you may say, 00:10:08.233 --> 00:10:10.686 why can't we use computers to translate? 00:10:10.710 --> 00:10:14.677 Machine translation nowadays is starting to translate some sentences. 00:10:14.701 --> 00:10:17.079 Well the problem with that is that 00:10:17.103 --> 00:10:18.797 it's not yet good enough, 00:10:18.821 --> 00:10:23.275 and it probably won't be for the next 20 to 30 years. 00:10:23.299 --> 00:10:26.531 So let me show you an example of something 00:10:26.555 --> 00:10:28.240 that was translated by a machine. 00:10:28.264 --> 00:10:32.834 Actually it was a forum about programming questions. 00:10:37.614 --> 00:10:40.208 It was a programming question translated from Japanese 00:10:40.233 --> 00:10:44.667 into English and from then into Spanish, though my translation is good. 00:10:44.691 --> 00:10:46.941 The other one is bad. You'll see. 00:10:46.965 --> 00:10:50.447 So I'll just let you read. 00:10:50.471 --> 00:10:53.308 This person starts apologizing for the machine translation. 00:10:53.332 --> 00:10:55.954 Indeed, this was done with the best translation program 00:10:55.978 --> 00:10:57.421 from Japanese into English. 00:10:57.445 --> 00:11:03.475 Remember, it's a question about computer programming. 00:11:03.499 --> 00:11:06.076 So here you are the preamble to the question. 00:11:06.100 --> 00:11:11.893 [At often, the goat-time install a error is vomit.] (Laughter) 00:11:11.917 --> 00:11:13.995 Then comes the first part of the question. 00:11:14.020 --> 00:11:19.726 [How many times like the wind, a pole, and the dragon?] (Laughter) 00:11:19.750 --> 00:11:21.801 Then comes my favorite part of the question. 00:11:21.825 --> 00:11:25.939 [This insult to father's stones?] (Laughter) 00:11:25.963 --> 00:11:28.444 And then comes my favorite part of the whole thing. 00:11:28.468 --> 00:11:32.451 [Please apologize for your stupidity. There are a many thank you.] (Laughter) 00:11:32.475 --> 00:11:34.950 Okay, so computer translation isn't yet good enough. 00:11:34.974 --> 00:11:36.594 We need people to translate. 00:11:36.618 --> 00:11:39.332 So what I want is to get 100 million people 00:11:39.356 --> 00:11:42.640 translating the Web into every major language for free. 00:11:42.665 --> 00:11:45.600 I couldn't afford paying 100 million people for the job, 00:11:45.625 --> 00:11:47.202 so I want them to do it for free. 00:11:47.227 --> 00:11:48.940 Now if this is what you want to do, 00:11:48.965 --> 00:11:51.485 you pretty quickly realize you're going to run into 00:11:51.509 --> 00:11:55.949 two pretty big obstacles, needing to be hurdled. 00:11:55.973 --> 00:12:00.028 The first one is a lack of bilinguals. 00:12:00.052 --> 00:12:03.159 So I don't even know if there exists 100 million people out there 00:12:03.183 --> 00:12:06.501 using the Web who are bilingual enough to help us translate. 00:12:06.525 --> 00:12:07.570 That's a big problem. 00:12:07.594 --> 00:12:09.708 The other problem is a lack of motivation. 00:12:09.732 --> 00:12:13.720 How are we going to motivate people to actually translate the Web for free? 00:12:13.744 --> 00:12:18.844 After thinking about this for months, 00:12:18.868 --> 00:12:20.864 we realized there's actually a way 00:12:20.888 --> 00:12:23.610 to solve both these problems with the same solution. 00:12:23.634 --> 00:12:26.720 We realized that there's a way to kill two birds with one stone. 00:12:26.745 --> 00:12:30.892 And that is to transform language translation 00:12:30.916 --> 00:12:33.986 into something that millions of people want to do, 00:12:34.010 --> 00:12:37.882 and that also helps with the problem of lack of bilinguals, 00:12:37.906 --> 00:12:40.416 and that is language education. 00:12:40.441 --> 00:12:44.061 It turns out there are millions of people wanting to learn other languages. 00:12:44.085 --> 00:12:49.119 Today there are over 1.2 billion people learning a foreign language. 00:12:49.143 --> 00:12:52.326 And it's not just because they're being forced to do so in school. 00:12:52.350 --> 00:12:54.936 For example, in the United States alone, there are over 00:12:54.961 --> 00:12:58.936 5 million people who have paid over $500 for software 00:12:58.961 --> 00:13:00.459 to learn a new language. 00:13:00.483 --> 00:13:03.364 Many people want to learn a new language. 00:13:03.388 --> 00:13:06.667 So what we've been working on for the last two years 00:13:06.691 --> 00:13:08.824 is a new website called Duolingo, 00:13:08.848 --> 00:13:11.816 where the basic idea is people learn a new language 00:13:11.840 --> 00:13:17.188 for free, while simultaneously translating the Web. 00:13:17.916 --> 00:13:19.977 And so they're learning by doing. 00:13:20.001 --> 00:13:21.634 So this is how it works. 00:13:21.658 --> 00:13:25.528 The way this works is whenever you're a just a beginner, 00:13:25.552 --> 00:13:28.036 we give you very, very simple sentences on the Web. 00:13:28.060 --> 00:13:31.716 And if you don't know a word we'll tell you what each word means 00:13:31.740 --> 00:13:34.159 though you are asked to "translate this sentence". 00:13:34.184 --> 00:13:36.058 And it turns out that it really works. 00:13:36.082 --> 00:13:38.358 Even though people know nothing of the language 00:13:38.383 --> 00:13:41.635 if we explain what each word means, they'll be able to translate it. 00:13:41.660 --> 00:13:43.432 As you see how other people translate 00:13:43.456 --> 00:13:45.842 the same sentence, you start learning the language. 00:13:45.866 --> 00:13:47.857 And as you get more and more advanced, 00:13:47.881 --> 00:13:51.078 we give you more and more complex sentences to translate. 00:13:51.102 --> 00:13:53.431 This is how you are going to help us translate. 00:13:53.455 --> 00:13:55.104 This is how the site works. 00:13:55.128 --> 00:13:57.118 We're mostly done building it, 00:13:57.142 --> 00:13:59.415 and now we're testing it. 00:13:59.439 --> 00:14:01.184 When we started working on this 00:14:01.208 --> 00:14:03.653 I didn't think it could work, really. 00:14:03.677 --> 00:14:06.183 But it turns out that it works, indeed. It's amazing. 00:14:06.207 --> 00:14:08.988 First, people really can learn a language with it. 00:14:09.012 --> 00:14:12.369 In this case we are testing it with people 00:14:12.393 --> 00:14:14.751 knowing English, wanting to learn Spanish, 00:14:14.775 --> 00:14:16.049 and vice versa. 00:14:16.073 --> 00:14:18.309 So people really do learn a language. 00:14:18.333 --> 00:14:19.920 And they learn it about as well 00:14:19.945 --> 00:14:22.077 as the leading language learning software, 00:14:22.102 --> 00:14:24.498 which is very good, but perhaps more surprisingly, 00:14:24.523 --> 00:14:28.924 the translations that we get from people using the site are very good. 00:14:28.948 --> 00:14:30.767 They are as accurate as those 00:14:30.791 --> 00:14:33.291 of professional language translators. 00:14:33.315 --> 00:14:36.407 Now of course, we play a trick here and it is that 00:14:36.431 --> 00:14:40.748 we combine the translations of multiple beginners, several students, 00:14:40.772 --> 00:14:42.490 and choose the best. 00:14:42.514 --> 00:14:44.742 But it turns out that that best translation 00:14:44.767 --> 00:14:47.925 is as good as those of professional language translators. 00:14:47.949 --> 00:14:53.553 Now even though we're combining multiple translations, 00:14:54.857 --> 00:14:57.073 another good thing about Duolingo is that 00:14:57.097 --> 00:15:00.188 the site actually can translate pretty fast. 00:15:00.212 --> 00:15:03.531 So let me show you an estimate of how fast we could translate. 00:15:03.555 --> 00:15:06.579 If we wanted to translate Wikipedia from English into Spanish -- 00:15:06.604 --> 00:15:09.319 of course, Wikipedia exists in Spanish but is much smaller 00:15:09.343 --> 00:15:12.098 than its English counterpart, about 20 percent of it -- 00:15:12.122 --> 00:15:15.711 If we wanted to translate Wikipedia from English into Spanish using Duolingo 00:15:15.735 --> 00:15:20.922 we could do it in five weeks with 100,000 active users 00:15:20.946 --> 00:15:22.500 learning English with Duolingo. 00:15:22.524 --> 00:15:25.623 And we could do it in about 80 hours with a million active users. 00:15:25.647 --> 00:15:28.333 Since all the projects that my group has worked on so far 00:15:28.357 --> 00:15:29.994 have gotten millions of users, 00:15:30.018 --> 00:15:33.452 we're hopeful that we'll be able to translate the Web for free. 00:15:33.476 --> 00:15:35.693 We haven't yet launched Duolingo, 00:15:35.717 --> 00:15:39.113 (Applause) 00:15:45.159 --> 00:15:46.895 I'd like to leave you with -- 00:15:47.871 --> 00:15:49.941 we haven't yet launched Duolingo we plan to do so in 30 days. 00:15:49.966 --> 00:15:52.230 If you visit Duolingo.com, you can sign up 00:15:52.254 --> 00:15:56.547 to be part of our private beta in about 30 days. 00:15:56.572 --> 00:15:57.658 Help us. 00:15:57.683 --> 00:15:58.833 Thank you. 00:15:58.858 --> 00:16:00.373 (Applause)