1 00:00:00,948 --> 00:00:03,783 Hi. I'm Refik. I'm a media artist. 2 00:00:03,783 --> 00:00:05,618 I use data as a pigment 3 00:00:05,618 --> 00:00:07,888 and paint with a thinking brush 4 00:00:07,888 --> 00:00:10,747 that is assisted by artificial intelligence. 5 00:00:11,364 --> 00:00:14,250 Using architectural spaces as canvases, 6 00:00:14,250 --> 00:00:15,818 I collaborate with machines 7 00:00:15,818 --> 00:00:18,737 to make buildings dream and hallucinate. 8 00:00:19,037 --> 00:00:21,680 You may be wondering, what does all this mean? 9 00:00:21,680 --> 00:00:24,632 So let me please take you into my work and my world. 10 00:00:24,632 --> 00:00:28,453 I witnessed the power of imagination 11 00:00:28,453 --> 00:00:30,110 when I was eight years old 12 00:00:30,110 --> 00:00:32,279 as a child growing up in Istanbul. 13 00:00:32,279 --> 00:00:35,583 One day, my mom brought home a videocassette 14 00:00:35,583 --> 00:00:38,552 of the science fiction movie "Blade Runner." 15 00:00:38,552 --> 00:00:41,345 I clearly remember being mesmerized 16 00:00:41,345 --> 00:00:46,277 by the stunning architectural vision of the future of Los Angeles, 17 00:00:46,277 --> 00:00:48,697 a place that I had never seen before. 18 00:00:48,913 --> 00:00:52,368 That vision became a kind of a staple 19 00:00:52,368 --> 00:00:54,376 of my daydreams. 20 00:00:54,376 --> 00:00:57,011 When I arrived in LA in 2012 21 00:00:57,011 --> 00:00:59,914 for a graduate program in design media arts, 22 00:00:59,914 --> 00:01:02,166 I rented a car and drove downtown 23 00:01:02,166 --> 00:01:04,675 to see that wonderful world of the near future. 24 00:01:05,178 --> 00:01:08,431 I remember a specific line that kept playing 25 00:01:08,431 --> 00:01:10,567 over and over in my head: 26 00:01:10,567 --> 00:01:14,192 the scene where the android Rachael 27 00:01:14,192 --> 00:01:16,744 realizes that her memories are actually not hers, 28 00:01:16,744 --> 00:01:21,198 and when Deckard tells her they are someone else's memories. 29 00:01:21,198 --> 00:01:22,540 Since that moment, 30 00:01:22,540 --> 00:01:24,109 one of my inspirations 31 00:01:24,109 --> 00:01:25,828 has been this question. 32 00:01:25,828 --> 00:01:30,247 What can a mission do with someone else's memories? 33 00:01:30,247 --> 00:01:32,973 Or, to say that in another way, 34 00:01:32,973 --> 00:01:37,010 what does it mean to be an AI in the 21st century? 35 00:01:37,748 --> 00:01:41,133 Any android or AI mission is only intelligent 36 00:01:41,133 --> 00:01:43,586 as long as we collaborate with it. 37 00:01:43,586 --> 00:01:46,354 It can construct things that human intelligence 38 00:01:46,354 --> 00:01:48,323 intends to produce, 39 00:01:48,323 --> 00:01:51,325 but does not have the capacity to do so. 40 00:01:51,325 --> 00:01:54,029 Think about your activities and social networks. 41 00:01:54,029 --> 00:01:59,039 For example, they get smarter the more you interact with them. 42 00:01:59,039 --> 00:02:03,593 If machines can learn or process memories, 43 00:02:03,593 --> 00:02:05,362 can they also dream? 44 00:02:05,362 --> 00:02:06,768 Hallucinate? 45 00:02:06,768 --> 00:02:09,438 Involuntarily remember, 46 00:02:09,438 --> 00:02:10,866 or make connections 47 00:02:10,866 --> 00:02:13,501 between multiple people streams? 48 00:02:13,501 --> 00:02:16,995 Does being an AI in the 21st century 49 00:02:16,995 --> 00:02:20,648 simply mean not forgetting anything? 50 00:02:20,648 --> 00:02:24,142 And, if so, 51 00:02:24,142 --> 00:02:25,410 isn't it the most revolutionary thing 52 00:02:25,410 --> 00:02:28,145 that we have experienced 53 00:02:28,145 --> 00:02:31,665 in our centuries-long effort to capture history across media? 54 00:02:31,665 --> 00:02:33,500 In other words, 55 00:02:33,500 --> 00:02:36,977 how far have we come since we discussed "Blade Runner"? 56 00:02:36,977 --> 00:02:40,487 So I established my studio in 2014, 57 00:02:40,487 --> 00:02:42,805 and invited architects, 58 00:02:42,805 --> 00:02:46,229 computer and data scientists, neuroscientists, musicians 59 00:02:46,229 --> 00:02:48,075 and even storytellers to join me in realizing my dreams. 60 00:02:48,075 --> 00:02:54,222 Can data become a pigment? 61 00:02:54,222 --> 00:02:57,608 This was the very first question we asked 62 00:02:57,608 --> 00:02:59,243 when starting our journey 63 00:02:59,243 --> 00:03:01,536 to embed media arts into architecture, 64 00:03:01,536 --> 00:03:04,838 to collide virtual and physical worlds. 65 00:03:04,838 --> 00:03:06,907 So we began to imagine 66 00:03:06,907 --> 00:03:08,208 what I would call 67 00:03:08,208 --> 00:03:10,294 the politics of data. 68 00:03:10,486 --> 00:03:13,053 One of our first projects, Virtual Depictions, 69 00:03:13,053 --> 00:03:15,088 was a public data sculpture piece 70 00:03:15,088 --> 00:03:17,958 commissioned by the city of San Francisco. 71 00:03:17,958 --> 00:03:20,042 The work invites the audience 72 00:03:20,042 --> 00:03:23,487 to be part of a spectacular aesthetic experience 73 00:03:23,487 --> 00:03:25,087 in a living urban space 74 00:03:25,087 --> 00:03:30,832 by depicting a ?? network of connections of the city itself. 75 00:03:30,832 --> 00:03:35,086 It also stands as a reminder of how invisible data 76 00:03:35,086 --> 00:03:36,739 from our everyday lives, 77 00:03:36,739 --> 00:03:39,574 like the ?? feeds that are represented here, 78 00:03:39,574 --> 00:03:42,066 can be made visible 79 00:03:42,066 --> 00:03:45,335 and transformed into sensory knowledge 80 00:03:45,335 --> 00:03:48,305 that can be experienced collectively. 81 00:03:48,839 --> 00:03:52,699 In fact, data can only become knowledge 82 00:03:52,699 --> 00:03:54,267 when it's experienced, 83 00:03:54,267 --> 00:03:56,387 and what is knowledge and experience 84 00:03:56,387 --> 00:03:57,920 can take many forms. 85 00:03:57,920 --> 00:03:59,727 When exploring such connections 86 00:03:59,727 --> 00:04:02,832 through the vast potential of machine intelligence, 87 00:04:03,350 --> 00:04:05,618 we also pondered 88 00:04:05,618 --> 00:04:09,539 the connection between human senses 89 00:04:09,539 --> 00:04:13,432 and the machines' capacity for simulating nature. 90 00:04:13,432 --> 00:04:18,136 These inquiries began while working on wind data paintings. 91 00:04:18,136 --> 00:04:20,490 They took the shape of visualized plans 92 00:04:20,490 --> 00:04:23,182 based on hidden data sets 93 00:04:23,182 --> 00:04:25,884 that we collected from wind sensors. 94 00:04:25,884 --> 00:04:28,602 We then used generative algorithms 95 00:04:28,602 --> 00:04:33,031 to transform wind speed, gust and direction 96 00:04:33,031 --> 00:04:36,367 into an ethereal data pigment. 97 00:04:36,583 --> 00:04:38,802 The result was a meditative 98 00:04:38,802 --> 00:04:41,194 yet speculative experience. 99 00:04:41,561 --> 00:04:44,447 This kinetic data sculpture, titled, "Bosphorus," 100 00:04:44,447 --> 00:04:48,451 was a similar attempt to question our capacity to reimagine 101 00:04:48,451 --> 00:04:50,253 natural occurrences. 102 00:04:50,253 --> 00:04:55,969 Using high-frequency radar collections of the Marmara Sea, 103 00:04:55,969 --> 00:04:58,550 we collected sea surface data 104 00:04:58,550 --> 00:05:02,093 and projected its dynamic movement with machine intelligence. 105 00:05:02,093 --> 00:05:04,096 We create the sense of immersion 106 00:05:04,096 --> 00:05:06,831 in a calm yet constantly changing 107 00:05:06,831 --> 00:05:08,916 synthetic serial. 108 00:05:09,183 --> 00:05:11,509 Seeing with the brain 109 00:05:11,509 --> 00:05:13,560 is often called imagination, 110 00:05:13,560 --> 00:05:16,064 and, for me, imagining architecture 111 00:05:16,064 --> 00:05:18,348 goes beyond just glass, 112 00:05:18,348 --> 00:05:20,017 metal or concrete, 113 00:05:20,017 --> 00:05:24,494 instead experimenting with the furthermost possibilities of immersion 114 00:05:24,494 --> 00:05:28,381 and ways of augmenting our perception in built environments. 115 00:05:28,631 --> 00:05:32,308 Research in artificial intelligence is growing every day, 116 00:05:32,308 --> 00:05:36,012 leaving us with the feeling of being plugged into a system 117 00:05:36,012 --> 00:05:38,597 that is bigger and more knowledgeable 118 00:05:38,597 --> 00:05:39,970 than ourselves. 119 00:05:40,199 --> 00:05:43,776 In 2017, we discovered an open source library 120 00:05:43,776 --> 00:05:46,362 of cultural documents in Istanbul 121 00:05:46,362 --> 00:05:49,998 and began working on "Archive Dreaming," 122 00:05:49,998 --> 00:05:54,325 one of the first AI-driven public installations in the world, 123 00:05:54,509 --> 00:06:01,306 an AI exploring approximately 1.7 million documents that span 270 years. 124 00:06:01,888 --> 00:06:04,951 One of our inspirations during this process 125 00:06:04,951 --> 00:06:08,004 was a short story called "The Library of Babel" 126 00:06:08,004 --> 00:06:11,656 by the Argentine writer Jorge Luis Borges. 127 00:06:11,656 --> 00:06:17,052 In the story, the author conceives a universe in the form of a vast library 128 00:06:17,052 --> 00:06:20,254 containing all possible 410-page books 129 00:06:20,254 --> 00:06:22,858 of a certain format and character set. 130 00:06:23,124 --> 00:06:24,815 Through this inspiring image, 131 00:06:24,815 --> 00:06:27,401 we imagine a way to physically explore 132 00:06:27,401 --> 00:06:29,503 the vast archives of knowledge 133 00:06:29,503 --> 00:06:31,788 in the age of machine intelligence. 134 00:06:32,005 --> 00:06:34,040 The resulting work, as you can see, 135 00:06:34,040 --> 00:06:36,615 was a user-driven immersive space. 136 00:06:36,615 --> 00:06:41,838 "Archive Dreaming" profoundly transformed the experience of a library 137 00:06:41,838 --> 00:06:44,390 in the age of machine intelligence. 138 00:06:44,557 --> 00:06:48,301 "Machine Hallucination" is an exploration of time and space 139 00:06:48,301 --> 00:06:50,903 experienced through New York City's 140 00:06:50,903 --> 00:06:53,005 public photographic archives. 141 00:06:53,005 --> 00:06:55,481 For this one-of-a-kind immersive project, 142 00:06:55,481 --> 00:06:58,250 we deployed machine-learning algorithms 143 00:06:58,250 --> 00:07:02,321 to find and process over 100 million photographs of the city. 144 00:07:03,188 --> 00:07:06,214 We designed an innovative narrative system 145 00:07:06,214 --> 00:07:12,536 to use artificial intelligence to predict or to hallucinate new images, 146 00:07:12,536 --> 00:07:16,246 allowing the viewer to step into a dreamlike fusion 147 00:07:16,246 --> 00:07:18,666 of past and future New York. 148 00:07:20,067 --> 00:07:25,578 As our projects delve deeper into remembering and transmitting knowledge, 149 00:07:25,578 --> 00:07:28,582 we thought more about how memories 150 00:07:28,582 --> 00:07:30,532 were not static recollections 151 00:07:30,532 --> 00:07:34,369 but ever-changing interpretations of past events. 152 00:07:34,369 --> 00:07:36,645 We pondered how machines 153 00:07:36,645 --> 00:07:40,282 could simulate unconscious and subconscious events 154 00:07:40,282 --> 00:07:41,951 such as dreaming, 155 00:07:41,951 --> 00:07:43,300 remembering 156 00:07:43,300 --> 00:07:46,028 and hallucinating. 157 00:07:46,028 --> 00:07:48,296 Thus we created "Melting Memories" 158 00:07:48,296 --> 00:07:51,282 to visualize the moment of remembering. 159 00:07:51,282 --> 00:07:54,869 The inspiration came from a tragic event 160 00:07:54,875 --> 00:07:58,962 when I found out that my uncle was diagnosed with Alzheimer's. 161 00:07:58,962 --> 00:08:02,282 At that time, all I could think about 162 00:08:02,282 --> 00:08:04,734 was to find a way to celebrate 163 00:08:04,734 --> 00:08:07,429 how and what he remembered 164 00:08:07,429 --> 00:08:09,446 when we are still able to do so. 165 00:08:09,446 --> 00:08:11,911 I began to think of memories 166 00:08:11,911 --> 00:08:13,500 not as disappearing 167 00:08:13,500 --> 00:08:15,101 but as melting 168 00:08:15,101 --> 00:08:16,508 or changing shape. 169 00:08:16,508 --> 00:08:18,377 With the help of machine intelligence, 170 00:08:18,377 --> 00:08:21,580 we worked with the scientists at the Neuroscape Laboratory 171 00:08:21,864 --> 00:08:23,883 at the University of California, 172 00:08:23,883 --> 00:08:29,444 who showed us how to understand brain signals as memories are made. 173 00:08:29,444 --> 00:08:34,048 Although my own uncle was losing the ability to process memories, 174 00:08:34,048 --> 00:08:37,108 the artwork generated by the EEG data 175 00:08:37,392 --> 00:08:41,128 explored the materiality of remembering 176 00:08:41,128 --> 00:08:43,931 and stood as a tribute 177 00:08:43,931 --> 00:08:47,190 to what my uncle had lost. 178 00:08:47,190 --> 00:08:51,611 Almost nothing about contemporary LA 179 00:08:51,611 --> 00:08:54,197 matched my childhood expectation 180 00:08:54,197 --> 00:08:55,538 of the city, 181 00:08:55,538 --> 00:08:58,692 with the exception of one amazing building: 182 00:08:58,692 --> 00:09:02,311 the Walt Disney Concert Hall, designed by Frank Gehry, 183 00:09:02,311 --> 00:09:04,380 one of my all-time heroes. 184 00:09:04,380 --> 00:09:07,589 In 2018, I had a call from the LA Philharmonic 185 00:09:07,589 --> 00:09:09,624 who was looking for an installation 186 00:09:09,624 --> 00:09:13,677 to help mark the celebrated symphony's hundredth year anniversary. 187 00:09:13,909 --> 00:09:16,988 For this, we decided to ask the question, 188 00:09:16,988 --> 00:09:20,074 can a build learn? Can it dream? 189 00:09:20,825 --> 00:09:22,025 To answer this question, 190 00:09:22,025 --> 00:09:25,402 we decided to collect everything recorded 191 00:09:25,402 --> 00:09:27,923 in the archives of the LA field and WHC, 192 00:09:27,923 --> 00:09:32,811 to be precise, 77 terabytes of digitally archived memories. 193 00:09:32,811 --> 00:09:35,097 By using machine intelligence, 194 00:09:35,097 --> 00:09:38,433 the entire archive going back 100 years 195 00:09:38,433 --> 00:09:41,319 became projections on the building's skin, 196 00:09:41,319 --> 00:09:45,412 42 projectors to achieve this futuristic public experience 197 00:09:45,412 --> 00:09:47,664 in the heart of Los Angeles, 198 00:09:47,664 --> 00:09:52,342 getting one step closer to the LA of "Blade Runner." 199 00:09:52,342 --> 00:09:54,761 If ever a building could dream, 200 00:09:54,761 --> 00:09:56,829 it was in this moment. 201 00:10:00,049 --> 00:10:03,292 Now, I am inviting you to one last journey 202 00:10:03,292 --> 00:10:05,795 into the mind of a machine. 203 00:10:05,795 --> 00:10:09,365 Right now, we are fully immersed in the data universe 204 00:10:09,365 --> 00:10:12,091 of every single created TED Talk 205 00:10:12,091 --> 00:10:14,092 from the past 30 years. 206 00:10:14,092 --> 00:10:20,565 That means, this data set includes 7,705 talks from the TED stage. 207 00:10:21,433 --> 00:10:23,641 Those talks have been translated 208 00:10:23,641 --> 00:10:25,843 into 7.4 million seconds, 209 00:10:25,843 --> 00:10:30,093 and each second is represented here in this data universe. 210 00:10:30,093 --> 00:10:32,259 Every image that you are seeing in here 211 00:10:32,259 --> 00:10:35,228 represents unique moments from those talks. 212 00:10:35,228 --> 00:10:37,221 By using machine intelligence, 213 00:10:37,221 --> 00:10:41,407 we processed a total of 487,000 sentences 214 00:10:41,407 --> 00:10:45,819 into 330 unique clusters of topics like nature, global emissions, 215 00:10:45,819 --> 00:10:47,620 extinction, race issues, 216 00:10:47,620 --> 00:10:49,105 computation, 217 00:10:49,105 --> 00:10:52,758 trust, emotions, water and refugees. 218 00:10:52,758 --> 00:10:55,630 These clusters are then connected to each other 219 00:10:55,630 --> 00:10:56,784 by an algorithm, 220 00:10:56,784 --> 00:11:00,950 and generated 113 million line segments, 221 00:11:00,950 --> 00:11:03,910 which revealed new conceptual relationships. 222 00:11:03,910 --> 00:11:06,064 Wouldn't it be amazing 223 00:11:06,064 --> 00:11:07,381 to be able to remember 224 00:11:07,381 --> 00:11:10,450 all the questions that have ever been asked on the stage? 225 00:11:11,758 --> 00:11:13,126 Here I am, 226 00:11:13,126 --> 00:11:16,011 inside the mind of countless great thinkers, 227 00:11:16,011 --> 00:11:17,629 as well as a machine 228 00:11:17,629 --> 00:11:20,032 interacting with various feelings 229 00:11:20,032 --> 00:11:22,241 attributed to learning, 230 00:11:22,241 --> 00:11:23,325 remembering, 231 00:11:23,325 --> 00:11:24,460 questioning 232 00:11:24,460 --> 00:11:27,213 and imagining all at the same time, 233 00:11:27,529 --> 00:11:30,882 expanding the power of the mind. 234 00:11:31,198 --> 00:11:33,691 For me, being right here 235 00:11:33,691 --> 00:11:38,113 is indeed what it means to be an AI in the 21st century. 236 00:11:38,113 --> 00:11:40,515 It is in our hands, humans, 237 00:11:40,515 --> 00:11:44,141 to train this mind to learn and remember 238 00:11:44,141 --> 00:11:46,994 what we can only dream of. 239 00:11:46,994 --> 00:11:48,362 Thank you.