0:00:01.102,0:00:06.180 We have historical records that allow us[br]to know how the ancient Greeks dressed, 0:00:06.180,0:00:07.458 how they lived, 0:00:07.458,0:00:09.159 how they fought ... 0:00:09.159,0:00:11.211 but how did they think? 0:00:11.535,0:00:16.094 One natural idea is that the deepest[br]aspects of human thought -- 0:00:16.094,0:00:17.976 our ability to imagine, 0:00:17.976,0:00:19.306 to be conscious, 0:00:19.306,0:00:20.681 to dream -- 0:00:20.681,0:00:22.701 have always been the same. 0:00:23.092,0:00:24.601 Another possibility 0:00:24.601,0:00:28.351 is that the social transformations[br]that have shaped our culture 0:00:28.351,0:00:32.428 may have also changed the structural[br]columns of human thought. 0:00:33.096,0:00:35.627 We may all have different[br]opinions about this. 0:00:35.627,0:00:38.344 Actually, it's a long-standing[br]philosophical debate. 0:00:38.724,0:00:42.335 But is this question[br]even amenable to science? 0:00:43.116,0:00:45.555 Here I'd like to propose 0:00:45.555,0:00:50.160 that in the same way we can reconstruct[br]how the ancient Greek cities looked like 0:00:50.160,0:00:52.777 just based on a few bricks, 0:00:52.777,0:00:56.835 that the writings of a culture[br]are the archeological records -- 0:00:56.835,0:00:59.467 the fossils of human thought. 0:01:00.199,0:01:01.390 And in fact, 0:01:01.390,0:01:03.570 doing some form of psychological analysis 0:01:03.570,0:01:07.184 of some of the most ancient[br]books of human culture, 0:01:07.184,0:01:13.028 Julian Jaynes came in the '70s with[br]a very wild and radical hypothesis ... 0:01:13.028,0:01:15.444 that only 3,000 years ago, 0:01:15.444,0:01:20.857 humans were what today[br]we would call schizophrenics. 0:01:21.883,0:01:23.575 And he made this claim 0:01:23.575,0:01:26.752 based on the fact that the first[br]humans [inscribing] these books 0:01:26.752,0:01:28.792 behaved consistently,[br] 0:01:28.792,0:01:31.708 in different traditions[br]and in different places of the world, 0:01:31.708,0:01:35.444 as if they were hearing and obeying voices 0:01:35.444,0:01:38.394 that they perceived[br]as coming from the Gods, 0:01:38.394,0:01:40.413 or from the muses -- 0:01:40.413,0:01:43.673 what today we would call hallucinations. 0:01:44.012,0:01:45.476 And only then, 0:01:45.476,0:01:46.780 as time went on, 0:01:46.780,0:01:50.361 they began to recognize[br]that they were the creators -- 0:01:50.361,0:01:53.078 the owners of these inner voices. 0:01:53.510,0:01:56.273 And with this they gained introspection: 0:01:56.273,0:01:59.221 the ability to think[br]about their own thoughts. 0:01:59.965,0:02:03.378 So Jaynes' theory is that consciousness -- 0:02:03.378,0:02:06.538 at least in the way we perceive it today, 0:02:06.538,0:02:10.225 where we feel that we are the pilots[br]of our own existence -- 0:02:10.225,0:02:13.164 is a quite recent cultural development. 0:02:13.545,0:02:15.337 And this theory is quite spectacular, 0:02:15.337,0:02:16.769 but it has an obvious problem 0:02:16.769,0:02:20.761 which is that it's built on just a few[br]and very specific examples. 0:02:21.085,0:02:22.872 So the question is whether the theory 0:02:22.872,0:02:27.913 that introspection built up in human[br]history only about 3,000 years ago 0:02:27.913,0:02:31.283 can be examined in a quantitative[br]and objective manner. 0:02:31.779,0:02:35.338 And the problem on how[br]to go about this is quite obvious. 0:02:35.338,0:02:37.724 It's not like Plato woke up one day 0:02:37.724,0:02:38.910 and then he wrote, 0:02:38.910,0:02:40.596 "Hello, I'm Plato 0:02:40.596,0:02:43.487 and as of today I have a fully[br]introspective consciousness." 0:02:43.487,0:02:45.307 (Laughter) 0:02:45.637,0:02:49.097 And this still is actually[br]what is the essence of the problem. 0:02:49.624,0:02:54.071 We need to find the emergence[br]of a concept that's never said. 0:02:54.680,0:02:58.942 The word introspection[br]does not appear a single time 0:02:58.942,0:03:01.559 in the books we want to analyze. 0:03:01.971,0:03:06.398 So our way to solve this[br]is to build the space of words. 0:03:06.794,0:03:09.998 This is a huge space[br]that contains all words 0:03:09.998,0:03:12.959 in such a way that they distance[br]between any two of them 0:03:12.959,0:03:15.842 is indicative of how[br]closely related they are. 0:03:16.460,0:03:17.456 So for instance, 0:03:17.456,0:03:20.857 you want the words dog and cat[br]to be very close together, 0:03:20.857,0:03:24.688 but the words grapefruit and logarithm[br]to be very far away. 0:03:25.008,0:03:29.298 And this has to be true for any[br]two words within the space. 0:03:29.748,0:03:33.109 And there are different ways that we[br]can construct the space of words. 0:03:33.109,0:03:34.802 One is just asking the experts, 0:03:34.802,0:03:37.199 a bit like we do with dictionaries. 0:03:37.199,0:03:38.623 Another possibility 0:03:38.623,0:03:40.688 is following the simple assumption 0:03:40.688,0:03:44.640 that when two words are related[br]they tend to appear in the same sentences, 0:03:44.640,0:03:46.214 in the same paragraphs, 0:03:46.214,0:03:48.049 in the same documents, 0:03:48.049,0:03:51.509 more often than would be expected[br]just by pure chance. 0:03:52.448,0:03:54.305 And this simple hypothesis, 0:03:54.305,0:03:55.792 this simple method, 0:03:55.792,0:03:57.266 with some computational tricks 0:03:57.266,0:03:58.679 that have to do with the fact 0:03:58.679,0:04:01.995 that this is a very complex[br]and highly dimensional space, 0:04:01.995,0:04:04.458 turns out to be quite effective. 0:04:04.458,0:04:07.127 And just to give you a flavor[br]of how well this works, 0:04:07.127,0:04:11.321 this is the result we get when[br]we analyze this for some familiar words. 0:04:11.607,0:04:12.816 And you can see first 0:04:12.816,0:04:16.278 that words automatically organize[br]into semantic neighborhoods. 0:04:16.278,0:04:17.362 So you get the fruits, 0:04:17.362,0:04:18.359 the body parts, 0:04:18.359,0:04:19.360 the computer parts, 0:04:19.360,0:04:20.359 the scientific terms 0:04:20.359,0:04:21.357 and so on. 0:04:21.357,0:04:25.699 The algorithm also identifies[br]the reorganized concepts in a hierarchy. 0:04:26.027,0:04:27.027 So for instance, 0:04:27.027,0:04:30.648 you can see that the scientific terms[br]break down into two subcategories 0:04:30.648,0:04:33.608 of the astronomic and the physic terms. 0:04:33.608,0:04:35.881 And then there are very fine things. 0:04:35.881,0:04:36.878 For instance, 0:04:36.878,0:04:38.054 the word astronomy, 0:04:38.056,0:04:39.870 which seems a bit bizarre where it is, 0:04:39.870,0:04:41.768 is actually exactly where it should be, 0:04:41.768,0:04:43.219 between what it is -- 0:04:43.219,0:04:44.630 an actual science -- 0:04:44.630,0:04:46.165 and between what it describes -- 0:04:46.165,0:04:47.912 the astronomical terms. 0:04:48.366,0:04:50.097 And we could go on and on with this. 0:04:50.097,0:04:52.181 Actually if you stare at this for a while 0:04:52.181,0:04:54.034 and you just build random trajectories, 0:04:54.034,0:04:55.725 you will see that is feels well -- 0:04:55.725,0:04:58.286 actually it feels a bit like doing poetry. 0:04:58.286,0:04:59.286 And this is because, 0:04:59.286,0:05:00.288 in a way, 0:05:00.288,0:05:03.482 walking in this space[br]is like walking in the mind. 0:05:03.901,0:05:05.778 And the last thing 0:05:05.778,0:05:09.938 is that this algorithm identifies[br]what are our intuitions 0:05:09.938,0:05:14.002 of which words should lead[br]in the neighborhood of introspection. 0:05:14.002,0:05:15.072 So for instance, 0:05:15.072,0:05:18.982 words such as self, guilt,[br]reason, emotion, 0:05:18.982,0:05:21.102 are very close to introspection, 0:05:21.102,0:05:22.102 but other words, 0:05:22.102,0:05:24.432 such as red, football, candle, banana, 0:05:24.432,0:05:26.072 are just very far away. 0:05:26.262,0:05:28.882 And so once we've built the space, 0:05:28.882,0:05:31.945 the question of the history[br]of introspection, 0:05:31.945,0:05:34.277 or of the history of any concept 0:05:34.277,0:05:39.055 which before could seem abstract[br]and somehow vague, 0:05:39.055,0:05:40.754 becomes concrete -- 0:05:40.754,0:05:43.656 becomes amenable to quantitative science. 0:05:44.481,0:05:47.137 All that we have to do is take the books, 0:05:47.137,0:05:48.612 we digitize them, 0:05:48.612,0:05:51.420 and we take this stream[br]of words as a trajectory 0:05:51.420,0:05:53.452 and project them into the space, 0:05:53.452,0:05:57.087 and then we ask whether this trajectory[br]spends significant time 0:05:57.087,0:06:00.361 circling closely to the concept[br]of introspection. 0:06:00.911,0:06:02.152 And with this, 0:06:02.152,0:06:04.263 we could analyze[br]the history of introspection 0:06:04.263,0:06:06.183 in the ancient Greek tradition, 0:06:06.183,0:06:09.304 for which we have the best[br]available written record. 0:06:09.711,0:06:12.131 So what we did is we took all the books -- 0:06:12.131,0:06:14.517 we just ordered them by time -- 0:06:14.517,0:06:15.994 for each book we take the words 0:06:15.994,0:06:18.194 and we project them to the space, 0:06:18.194,0:06:21.165 and then we ask for each word[br]how close it is to introspection, 0:06:21.165,0:06:22.728 and we just average that. 0:06:22.728,0:06:25.986 And then we understand[br]that as time goes on and on, 0:06:25.986,0:06:29.088 these books get closer,[br]and closer and closer 0:06:29.088,0:06:31.062 to the concept of introspection. 0:06:31.062,0:06:35.387 And this is exactly what happens[br]in the ancient Greek tradition. 0:06:35.968,0:06:39.146 So you can see that for the oldest books[br]in the Homeric tradition, 0:06:39.146,0:06:42.540 there is a small increase with books[br]getting closer to introspection, 0:06:42.540,0:06:44.816 but about four centuries before Christ, 0:06:44.816,0:06:49.376 this starts ramping-up very rapidly[br]to an almost five-fold increase 0:06:49.376,0:06:51.938 of books getting closer,[br]and closer and closer 0:06:51.938,0:06:54.319 to the concept of introspection. 0:06:54.319,0:06:56.679 And one of the nice things about this 0:06:56.679,0:06:57.829 is that now we can ask 0:06:57.829,0:07:02.498 whether this is also true[br]in a different independent tradition. 0:07:03.026,0:07:06.248 So we just ran this same analysis[br]on the Judeo-Christian tradition, 0:07:06.248,0:07:09.178 and we got virtually the same pattern. 0:07:09.741,0:07:14.445 Again you see a small increase[br]for the oldest books in the Old Testament, 0:07:14.445,0:07:16.326 and then it increases much more rapidly 0:07:16.326,0:07:18.169 in the new books of the New Testament, 0:07:18.169,0:07:20.518 and then we get the peak of introspection 0:07:20.518,0:07:22.521 in the work Confessions[br]of Saint Augustine, 0:07:22.521,0:07:24.721 about four centuries after Christ. 0:07:25.051,0:07:26.985 And this was very important, 0:07:26.985,0:07:30.351 because Saint Augustine[br]had been recognized by scholars -- 0:07:30.351,0:07:31.481 philologists, 0:07:31.481,0:07:32.632 historians -- 0:07:32.632,0:07:35.298 as one of the founders of introspection. 0:07:35.298,0:07:38.595 Actually, some believe him to be[br]the father of modern psychology. 0:07:39.155,0:07:41.157 So our algorithm, 0:07:41.157,0:07:43.804 which has the virtue[br]of being quantitative, 0:07:43.804,0:07:45.066 of being objective, 0:07:45.066,0:07:47.332 and of course of being extremely fast -- 0:07:47.332,0:07:49.636 it just runs in a fraction of a second -- 0:07:49.636,0:07:53.138 can capture some of the most[br]important conclusions 0:07:53.138,0:07:55.940 of this long tradition of investigation. 0:07:56.547,0:08:00.142 And this is in a way[br]one of the beauties of science, 0:08:00.142,0:08:03.617 which is that now this idea[br]can be translated 0:08:03.617,0:08:06.496 and generalized to a whole[br]lot of different domains. 0:08:06.920,0:08:11.807 So in the same way that we asked[br]about the past of human conciousness, 0:08:11.807,0:08:15.132 maybe the most challenging question[br]we can pose to ourselves, 0:08:15.132,0:08:19.269 is whether this can tell us something[br]about the future of our own consciousness. 0:08:19.717,0:08:21.186 To put it more precisely, 0:08:21.186,0:08:23.601 whether the words we say today 0:08:23.601,0:08:28.797 can tell us something of where[br]our minds will be in a few days, 0:08:28.797,0:08:29.962 in a few months, 0:08:29.962,0:08:31.907 or a few years from now. 0:08:31.907,0:08:34.813 And in the same way many of us[br]are now wearing censors 0:08:34.813,0:08:36.524 that detect our heart rate, 0:08:36.524,0:08:37.936 our respiration, 0:08:37.936,0:08:39.712 our genes, 0:08:39.712,0:08:43.268 on the hopes that this may[br]help us prevent diseases, 0:08:43.268,0:08:46.788 we can ask whether monitoring[br]and analyzing the words we speak -- 0:08:46.788,0:08:47.786 we tweet, 0:08:47.786,0:08:48.789 we email, 0:08:48.789,0:08:49.793 we write -- 0:08:49.793,0:08:54.759 can tell us ahead of time whether[br]something may go wrong with our minds. 0:08:55.301,0:08:56.834 And with Guillermo Cecci, 0:08:56.834,0:08:59.962 who has been my brother[br]in this adventure, 0:08:59.962,0:09:01.517 we took on this task. 0:09:02.489,0:09:08.054 And we did so by analyzing the recorded[br]speech of 34 young people 0:09:08.054,0:09:11.168 who were at a high risk[br]of developing schizophrenia. 0:09:11.568,0:09:14.502 And so what we did is we[br]measured speech at day one 0:09:14.502,0:09:17.743 and then we asked whether the properties[br]of the speech could predict, 0:09:17.743,0:09:20.238 within a window of almost three years, 0:09:20.238,0:09:22.919 the future development of psychosis. 0:09:23.570,0:09:26.039 But despite our hopes, 0:09:26.039,0:09:29.568 we got failure after failure. 0:09:29.928,0:09:33.801 There was just not enough[br]information in semantics 0:09:33.801,0:09:36.844 to predict the future[br]organization of the mind. 0:09:36.844,0:09:38.556 It was good enough 0:09:38.556,0:09:42.883 to distinguish between a group[br]of schizophrenics and a control group, 0:09:42.883,0:09:45.555 a bit like we had done[br]for the ancient texts, 0:09:45.555,0:09:49.108 but not to predict the future[br]onto the psychosis. 0:09:49.320,0:09:51.109 But then we realized 0:09:51.109,0:09:55.135 that maybe the most important thing[br]was not so much what they were saying 0:09:55.135,0:09:57.322 but how they were saying it. 0:09:57.778,0:09:59.138 More specifically, 0:09:59.138,0:10:02.012 it was not in which semantic[br]neighborhoods the words were, 0:10:02.012,0:10:04.611 but how far and fast they jumped 0:10:04.611,0:10:07.076 from one semantic neighborhood[br]to the other one. 0:10:07.336,0:10:09.065 And so we came up with this measure, 0:10:09.065,0:10:11.624 which we termed semantic coherence, 0:10:11.624,0:10:16.427 which essentially measures the persistence[br]of speech within one semantic topic, 0:10:16.427,0:10:18.770 within one semantic category. 0:10:19.445,0:10:23.502 And it turned out to be[br]that for this group of 34 people, 0:10:23.502,0:10:27.465 the algorithm based on semantic[br]coherence could predict, 0:10:27.465,0:10:29.630 with 100 percent accuracy, 0:10:29.630,0:10:32.700 who developed psychosis and who will not. 0:10:33.178,0:10:36.150 And this was something[br]that could not be achieved -- 0:10:36.150,0:10:37.733 not even close -- 0:10:37.733,0:10:41.123 with all the other[br]existing clinical measures. 0:10:42.779,0:10:46.401 And I remember vividly[br]while I was working on this, 0:10:46.401,0:10:48.750 I was sitting on my computer 0:10:48.750,0:10:51.219 and I saw a bunch of tweets by Polo -- 0:10:51.219,0:10:54.385 Polo had been my first student[br]back in Buenos Aires 0:10:54.385,0:10:56.413 and at the time he was living in New York. 0:10:56.413,0:10:58.613 And there was something in this tweets -- 0:10:58.613,0:11:02.273 I could not tell exactly what[br]because nothing was said explicitly -- 0:11:02.273,0:11:04.293 but I got this strong hunch, 0:11:04.293,0:11:07.873 this strong intuition[br]that something was going wrong. 0:11:08.510,0:11:11.094 So I picked up the phone[br]and I called Polo, 0:11:11.094,0:11:13.300 and in fact he was not feeling well. 0:11:13.582,0:11:15.544 And this simple fact 0:11:15.544,0:11:18.004 that reading in between the lines[br] 0:11:18.004,0:11:22.224 I could sense through words his feelings, 0:11:22.224,0:11:25.196 was a simple but very[br]effective way to help. 0:11:26.154,0:11:27.905 What I tell you today 0:11:27.905,0:11:30.587 is that we're getting[br]close to understanding 0:11:30.587,0:11:34.607 how we can convert this intuition[br]that we all have, 0:11:34.607,0:11:36.125 that we all share, 0:11:36.125,0:11:37.801 into an algorithm. 0:11:38.264,0:11:39.840 And in doing so, 0:11:39.840,0:11:44.489 we may be seeing in the future[br]a very different form of mental health, 0:11:44.489,0:11:50.073 based on objective, quantitative[br]and automated analysis 0:11:50.073,0:11:51.934 of the words we write, 0:11:51.934,0:11:53.470 of the words we say. 0:11:53.470,0:11:54.738 Gracias. 0:11:54.738,0:11:56.736 (Applause)