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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:01:05,265 --> 00:01:06,900 Hello. 2 00:01:06,900 --> 00:01:07,667 So sorry. 3 00:01:07,667 --> 00:01:10,570 I'm not speaking Spanish. Guys. 4 00:01:10,570 --> 00:01:12,272 so, firstly, I'm really, really delighted 5 00:01:12,272 --> 00:01:16,376 to be here in Mexico at this incredible festival with all of you. 6 00:01:16,376 --> 00:01:17,944 Thank you very, very much for having me. 7 00:01:17,944 --> 00:01:20,947 And to all the team who've got me here, thank you very much. 8 00:01:21,381 --> 00:01:24,250 so first of all, a little anecdote, 9 00:01:24,250 --> 00:01:28,221 when I submitted the name of this presentation a couple of months ago. 10 00:01:28,221 --> 00:01:32,792 Now, the title was A Cultural Revolution with no question mark. 11 00:01:33,393 --> 00:01:35,929 But as I've been preparing and researching and learning 12 00:01:35,929 --> 00:01:39,499 and AI changes so fast, it's been difficult to keep up 13 00:01:39,499 --> 00:01:41,701 even over the last two weeks, because you will have seen 14 00:01:41,701 --> 00:01:44,671 a load of updates from ChatGPT for just in the last week. 15 00:01:45,438 --> 00:01:47,707 so I decided to add this question mark, and it's really 16 00:01:47,707 --> 00:01:51,211 because I'd like you guys to have a big think about what you think. 17 00:01:51,511 --> 00:01:54,347 whether you think this is, a cultural revolution, 18 00:01:54,347 --> 00:01:57,117 is it changing the creative world forever? 19 00:01:57,117 --> 00:01:59,652 I'd love at the end, for us to be able to discuss that. 20 00:01:59,652 --> 00:02:03,256 So this presentation was made using a lot of AI, 21 00:02:03,623 --> 00:02:05,592 and I use it in many, many ways throughout it. 22 00:02:05,592 --> 00:02:08,962 So I'd love to see if you can spot where I've used AI and where it was me. 23 00:02:09,662 --> 00:02:12,632 so for starters, this image was made by Midjourney, 24 00:02:13,766 --> 00:02:14,634 a generative 25 00:02:14,634 --> 00:02:18,371 image AI, and the prompt was an image to represent 26 00:02:18,371 --> 00:02:21,741 AI drawn in black in yellow for presentation. 27 00:02:21,941 --> 00:02:24,110 Whimsical? No, people. 28 00:02:24,110 --> 00:02:27,480 So it seems as if Midjourney see this AI in human form, 29 00:02:27,780 --> 00:02:29,482 but not as inherently human. 30 00:02:29,482 --> 00:02:31,851 Make of that what you will. 31 00:02:31,851 --> 00:02:34,187 So what is this going to be about? 32 00:02:34,187 --> 00:02:37,657 I'm going to explain who I am and what I do and essentially why I'm here. 33 00:02:38,591 --> 00:02:40,994 and I'm going to talk about how I make things, what immersive 34 00:02:40,994 --> 00:02:44,330 storytelling is, why it's different from other forms of storytelling. 35 00:02:44,631 --> 00:02:48,134 And then about AI and how it's affecting immersive technology in particular, 36 00:02:48,301 --> 00:02:51,804 but immersive storytelling across everything that I work on. 37 00:02:52,272 --> 00:02:55,508 And the fact is, is that AI is really affecting every industry 38 00:02:55,508 --> 00:02:56,876 in the whole world. 39 00:02:56,876 --> 00:03:00,346 but what does this mean for a sector that celebrates the human and is, 40 00:03:01,381 --> 00:03:04,384 values creativity above everything else? 41 00:03:05,785 --> 00:03:08,821 So why is this interesting for us here now? 42 00:03:09,322 --> 00:03:13,293 so, this is an amazing quote I thought from Boaz. 43 00:03:13,326 --> 00:03:17,197 And you may have seen this, and he talks about drawing 44 00:03:17,197 --> 00:03:20,533 a map of the world and peopling it, and at the end, coming 45 00:03:20,533 --> 00:03:24,170 across the patient labyrinth and realizing it's his own face. 46 00:03:24,571 --> 00:03:28,074 And I think this is part of why AI is so interesting to us, 47 00:03:28,074 --> 00:03:29,475 because he describes the life 48 00:03:29,475 --> 00:03:33,379 as a small, iridescent sphere of almost unbearable brightness, 49 00:03:33,546 --> 00:03:36,382 and I think this really is an allegory for AI, because it's a very, 50 00:03:36,382 --> 00:03:40,620 very hard thing to look at because it's AI is a search for knowledge, 51 00:03:40,920 --> 00:03:43,923 and within that quest is a search for personal identity. 52 00:03:44,424 --> 00:03:47,193 Because what really troubles us most about AI 53 00:03:47,193 --> 00:03:50,396 is an existential worry about our own identity. 54 00:03:50,730 --> 00:03:54,867 Because if we are not the most developed intelligence on earth, what are we for? 55 00:03:55,501 --> 00:04:00,273 If we are not the most creative force on earth, what is it that makes us human? 56 00:04:00,873 --> 00:04:04,777 What is a consciousness if it's not an inherently human attribute? 57 00:04:05,011 --> 00:04:09,716 And can consciousness even really exist if it has, without the confines of death? 58 00:04:10,383 --> 00:04:11,551 And all these questions 59 00:04:11,551 --> 00:04:15,288 at the heart of everything that we're looking around AI at the moment in. 60 00:04:15,288 --> 00:04:17,390 So in the search for the understanding of AI, 61 00:04:17,390 --> 00:04:20,193 we really are searching for the understanding of ourselves, 62 00:04:20,193 --> 00:04:24,430 which you might also argue is the same quest that all creativity follows. 63 00:04:24,597 --> 00:04:27,533 The search for an understanding of ourselves. 64 00:04:27,533 --> 00:04:30,036 So who am I? thanks for having me. 65 00:04:31,037 --> 00:04:32,672 here's a picture of me. 66 00:04:32,672 --> 00:04:35,642 Same necklace, same thing, same wonkiness. 67 00:04:35,975 --> 00:04:40,880 I work at, the crossover of art and technology, which is why I'm here. 68 00:04:40,980 --> 00:04:43,249 And I really, really love working with technology. 69 00:04:43,249 --> 00:04:45,151 And I love everything it can do for us. 70 00:04:45,151 --> 00:04:48,421 And I, really is just getting started. 71 00:04:48,821 --> 00:04:52,358 So, I started as a theater director. 72 00:04:53,126 --> 00:04:55,828 I trained at the Royal Academy of Dramatic Art in London, 73 00:04:55,828 --> 00:04:57,030 at the National Theater in London, 74 00:04:57,030 --> 00:04:59,499 at the Donmar Warehouse, which is in the West End of London. 75 00:04:59,499 --> 00:05:01,534 And I'm lucky enough to have directed all over the world 76 00:05:01,534 --> 00:05:05,038 in France, Italy and Turkey, Canada, America, everywhere really. 77 00:05:05,171 --> 00:05:08,041 And I had a, a company called Theater Uncut. 78 00:05:08,041 --> 00:05:10,710 I also direct video games. 79 00:05:10,710 --> 00:05:13,980 I do the performance directing for that, and I've directed 80 00:05:13,980 --> 00:05:16,215 BAFTA winning performance in some of the world's biggest games. 81 00:05:16,215 --> 00:05:19,085 And that's really how I started getting into technology. 82 00:05:19,085 --> 00:05:21,587 And I now make immersive events, theater and VR. 83 00:05:21,587 --> 00:05:24,023 And I'm going to talk to you about a couple of the biggest ones 84 00:05:24,023 --> 00:05:27,060 I've done, because I'm going to be referencing them as we move through. 85 00:05:27,927 --> 00:05:31,397 So one of my most high profile and recent immersive 86 00:05:31,397 --> 00:05:34,967 projects has been the Gunpowder Plot, with the lovely Tom Felton there, 87 00:05:35,401 --> 00:05:40,273 and it's a multi-million pound, feature length, immersive storytelling experience. 88 00:05:40,540 --> 00:05:42,141 And it's at the Tower of London. 89 00:05:42,141 --> 00:05:45,144 So the expectations for it were were pretty high. 90 00:05:45,611 --> 00:05:49,582 and it uses, a lot of technology, including VR and projections, 91 00:05:49,749 --> 00:05:53,486 haptics, volumetric capture, Ambisonics, sound, motion 92 00:05:53,486 --> 00:05:57,123 simulators, airflow, it even smell technology 93 00:05:57,290 --> 00:06:01,661 really to create 360 experience, as well as using theatrical storytelling 94 00:06:01,661 --> 00:06:05,131 like actors Set and a really excellent script by Danny Robbins. 95 00:06:05,732 --> 00:06:08,568 So just to kind of tell you what this is, because it's going to be coming up 96 00:06:08,568 --> 00:06:09,869 quite a lot. 97 00:06:09,869 --> 00:06:12,572 It's made by layered reality with historic Royal Palaces 98 00:06:12,572 --> 00:06:15,575 who run, a lot of our ancient monuments. 99 00:06:15,875 --> 00:06:18,010 it's in these vaults which are listed. 100 00:06:18,010 --> 00:06:21,581 They are, hundreds of years old, which was a bit of a challenge. 101 00:06:21,914 --> 00:06:26,319 It's a completely 360 environment, and it's 2350m². 102 00:06:26,319 --> 00:06:27,453 So it's pretty big. 103 00:06:27,453 --> 00:06:31,290 It's, a fully linear narrative, but it's got two endings, and the audience 104 00:06:31,290 --> 00:06:34,961 can make a decision in the middle about which ending, they would prefer. 105 00:06:36,028 --> 00:06:37,563 it is 90 minutes. 106 00:06:37,563 --> 00:06:40,566 The audience play spies within the plot. 107 00:06:40,933 --> 00:06:45,705 it's based on a very famous British, plot, against the government in 1605. 108 00:06:46,139 --> 00:06:48,775 And there are audience groups of 16 people 109 00:06:48,775 --> 00:06:51,577 every ten minutes throughout the entire day. 110 00:06:51,577 --> 00:06:55,715 So there are 16 people in every single space the whole time. 111 00:06:55,715 --> 00:06:59,218 And they move around on a carousel, which is operationally quite tricky. 112 00:06:59,218 --> 00:07:02,221 We can, I'm sure I'll show you a bit of how AI has been helping us with that. 113 00:07:02,688 --> 00:07:05,925 And it has three very aims and Ambisonics sound space, 114 00:07:06,192 --> 00:07:08,161 full scale projection spaces. 115 00:07:08,161 --> 00:07:10,830 and over two years we've had 150,000 visitors. 116 00:07:10,830 --> 00:07:13,699 We're still open if you're ever in London, come along. 117 00:07:13,699 --> 00:07:16,436 and I will be referencing that throughout 118 00:07:16,436 --> 00:07:18,771 the next, experience. 119 00:07:18,771 --> 00:07:22,442 and I think this is really where I came to the attention, brilliantly for of, 120 00:07:22,708 --> 00:07:26,045 the people here at left is that I was working on another multi-million 121 00:07:26,045 --> 00:07:30,283 pound project, which is going to be out in 2025 called the Museum of Shakespeare, 122 00:07:30,550 --> 00:07:35,621 which is again, a, really massive project on an extraordinary historical location. 123 00:07:35,888 --> 00:07:39,992 So Shakespeare had a theater that he worked at called, the Cotton Theater. 124 00:07:40,293 --> 00:07:43,262 And the archeological remains are in central London. 125 00:07:43,629 --> 00:07:45,298 we are building a massive experience 126 00:07:45,298 --> 00:07:48,901 around it, and it's where Romeo and Juliet was first performed, for example. 127 00:07:49,202 --> 00:07:52,972 And so they're, what we're doing very much is, trying to, 128 00:07:53,606 --> 00:07:56,609 bring to life the feeling that Shakespeare 129 00:07:56,609 --> 00:08:00,513 would have had in that time and why he was at that location. 130 00:08:01,280 --> 00:08:04,484 I can't say too much about it, because I'm under an NDA because it's 131 00:08:04,484 --> 00:08:08,321 not out yet, but I will be referencing it where I can because we were exploring 132 00:08:08,321 --> 00:08:10,289 a lot of AI technologies to bring it to life. 133 00:08:11,257 --> 00:08:13,459 so just to show you the gunpowder plots, 134 00:08:13,459 --> 00:08:16,462 so you understand a little bit later what I'm talking about. 135 00:08:25,638 --> 00:08:26,339 The Gunpowder Plot 136 00:08:26,339 --> 00:08:29,575 immersive experience is, I think, a whole new way of experiencing history. 137 00:08:29,575 --> 00:08:33,012 This experience tells the story behind this legal team. 138 00:08:33,379 --> 00:08:36,249 A spy infiltrating the Gunpowder Plot. 139 00:08:36,249 --> 00:08:37,717 You get asked to be inside it. 140 00:08:37,717 --> 00:08:40,253 You get to feel everything. You get to meet the people. 141 00:08:40,253 --> 00:08:42,321 You get to smell it, touch it, hear it. 142 00:08:42,321 --> 00:08:45,858 And we do that through both the magic of theater and through technology. 143 00:08:46,125 --> 00:08:49,495 Virtual reality takes you back to being a kid again. 144 00:08:49,495 --> 00:08:53,366 It gives you that sense of magic to be able to take people literally 145 00:08:53,366 --> 00:08:54,400 into Jacobean London. 146 00:08:54,400 --> 00:08:58,905 You are going to go down the River Thames and see London as it was at 1605. 147 00:08:59,171 --> 00:09:03,943 My role in it, and begins with drawing visuals of the sorts of things 148 00:09:03,943 --> 00:09:09,615 that the audience can expect to be surrounded by or to experience. 149 00:09:09,615 --> 00:09:11,284 So when the audience are in the experience, 150 00:09:11,284 --> 00:09:14,854 they will be underground in the tower vaults next to the tower of London. 151 00:09:15,488 --> 00:09:18,057 it's a really great place to experience this story, because 152 00:09:18,057 --> 00:09:21,060 it's so close to where many of the key events of the story happen. 153 00:09:21,060 --> 00:09:23,029 We are separated here from the people 154 00:09:23,029 --> 00:09:27,300 that were part of this historic plot only by time and not by location. 155 00:09:27,300 --> 00:09:29,535 This is not like anything you've seen before. 156 00:09:29,535 --> 00:09:32,805 You will never be immersed in this way. 157 00:09:33,272 --> 00:09:34,574 It's entertainment. 158 00:09:34,574 --> 00:09:37,610 You're with people and you're on a mission. 159 00:09:37,610 --> 00:09:39,545 A lot of people are going to have 160 00:09:39,545 --> 00:09:42,915 the kind of experience that they will remember for a very long time. 161 00:09:43,282 --> 00:09:48,087 Where else can you step back to 1605 and infiltrate history's most famous plot? 162 00:09:48,087 --> 00:09:52,058 The Gunpowder Plot Immersive will take you back to 1605 163 00:09:52,258 --> 00:09:55,828 and put you in the heart of history's most daring conspiracy. 164 00:09:59,932 --> 00:10:01,934 So there we go. 165 00:10:01,934 --> 00:10:04,704 and just to show off a touch, 166 00:10:04,704 --> 00:10:07,039 we have, some of our reviews. 167 00:10:07,039 --> 00:10:08,608 We, did very well out of that. 168 00:10:08,608 --> 00:10:11,310 It's still open two years later, so. Yeah. 169 00:10:11,310 --> 00:10:12,111 Do you come? 170 00:10:12,111 --> 00:10:13,713 And if you want to get in contact with me 171 00:10:13,713 --> 00:10:16,682 for anything, I also run a company called Bury Giants. 172 00:10:17,016 --> 00:10:20,019 And I will happily make anything you want me to make. 173 00:10:20,052 --> 00:10:22,188 And we are creators, producers, consultants. 174 00:10:22,188 --> 00:10:25,858 And we have a touring platform, which is a small scale, immersive platform. 175 00:10:26,325 --> 00:10:28,160 So what do we actually do? I'm talking 176 00:10:28,160 --> 00:10:31,163 about being a creative director, talking about making stuff, yada yada. 177 00:10:31,397 --> 00:10:32,565 But what do I do? 178 00:10:32,565 --> 00:10:35,267 I work across many different genres, and I'm going to talk a lot 179 00:10:35,267 --> 00:10:38,137 about the experiential work that I do, mainly about, 180 00:10:38,137 --> 00:10:41,140 experiential work in immersive, storytelling genre. 181 00:10:41,674 --> 00:10:46,312 So, I would say that my job really as a storyteller or a story maker. 182 00:10:46,712 --> 00:10:49,215 So first, if I am leading the story from the start, 183 00:10:49,215 --> 00:10:52,118 like with the Gunpowder Plot, I find the story, I shape it. 184 00:10:52,118 --> 00:10:54,320 Sometimes I write it or I work with a writer. 185 00:10:54,320 --> 00:10:56,255 I always ask, what is the story we're telling? 186 00:10:56,255 --> 00:10:57,890 Why is it most important? 187 00:10:57,890 --> 00:10:59,525 What moments are most important? 188 00:10:59,525 --> 00:11:00,760 And how do we take a story 189 00:11:00,760 --> 00:11:03,963 and allow an audience to get inside it rather than just watching it? 190 00:11:04,296 --> 00:11:07,199 So we use traditional theater techniques, including actor set, 191 00:11:07,199 --> 00:11:10,202 script rehearsals, alongside technology. 192 00:11:10,202 --> 00:11:12,138 And we're going to look at that emotion technology, 193 00:11:12,138 --> 00:11:14,073 that immersive technology shortly. 194 00:11:14,073 --> 00:11:16,942 And when we choose the technology, which we don't always do, 195 00:11:16,942 --> 00:11:19,078 we're always driven by the story. 196 00:11:19,078 --> 00:11:22,448 What would help make the story clearer, more emotional, more effective? 197 00:11:22,682 --> 00:11:24,583 Why are we using this technology? 198 00:11:24,583 --> 00:11:27,720 And, the point of, I'm going to talk a little bit 199 00:11:27,720 --> 00:11:31,457 about what immersive storytelling is and how our senses work. 200 00:11:31,891 --> 00:11:34,894 So when we're thinking about what immersive is and if, 201 00:11:35,094 --> 00:11:38,030 I mean, I've had a look at the, a lot of things here in Mexico. 202 00:11:38,030 --> 00:11:42,034 And it seems here, like with us, immersive is a word that's just used 203 00:11:42,401 --> 00:11:46,739 for anything that's kind of a bit sort of 360. 204 00:11:47,073 --> 00:11:50,142 So, but when we're making it, what we tend to do 205 00:11:50,142 --> 00:11:53,145 is try to think about what, how our senses work in relation 206 00:11:53,145 --> 00:11:57,516 to how we experience the world so we don't access the world directly, 207 00:11:57,683 --> 00:12:01,420 we infer it through our senses, and we build a model of it in our brains. 208 00:12:01,687 --> 00:12:03,222 So it's become a perception. 209 00:12:03,222 --> 00:12:06,992 The sensations are mixed with memory, emotion and cognition, which means 210 00:12:06,992 --> 00:12:07,426 that these, 211 00:12:08,394 --> 00:12:09,395 senses, 212 00:12:09,395 --> 00:12:11,964 these perceptions are unique to us personally. 213 00:12:11,964 --> 00:12:14,967 So, as people, we only really perceive change. 214 00:12:15,067 --> 00:12:18,170 The rest is filtered out to avoid sensory overload. 215 00:12:18,504 --> 00:12:22,174 And, if you, ever do any storytelling yourself, 216 00:12:22,308 --> 00:12:25,578 you'll know that change is fundamental to traditional storytelling. 217 00:12:25,845 --> 00:12:29,415 Everything from the three act structure that is in every single movie 218 00:12:29,415 --> 00:12:30,282 you've ever seen. 219 00:12:30,282 --> 00:12:33,586 To like Shakespeare's five acts, to a video game 220 00:12:33,586 --> 00:12:36,622 where there's a running joke that the hero's journey is something 221 00:12:36,622 --> 00:12:39,625 that if they hear that word again, they're all going to jump out of a window. 222 00:12:40,793 --> 00:12:42,495 and we all have storytelling brains. 223 00:12:42,495 --> 00:12:45,498 We turn complexity into cause and effect stories. 224 00:12:45,498 --> 00:12:47,666 We are always a hero of our own lives. 225 00:12:47,666 --> 00:12:51,003 So that is really why immersive is different from other forms, 226 00:12:51,203 --> 00:12:54,974 because we take storytelling and we turn it into story. 227 00:12:54,974 --> 00:13:00,446 Doing so instead of seeing someone else's reality, instead of being passive 228 00:13:00,446 --> 00:13:04,617 or watching or standing outside of the story, we put the audience inside it 229 00:13:04,750 --> 00:13:07,887 and they experience the story as if it's their own reality. 230 00:13:08,387 --> 00:13:11,023 And we do this, in a variety of ways. 231 00:13:11,023 --> 00:13:12,858 But one of the ways is that the storytelling in 232 00:13:12,858 --> 00:13:14,593 immersive is always through the body. 233 00:13:14,593 --> 00:13:18,497 So our bodies are telling our brains it's real and we stimulate all the senses. 234 00:13:18,497 --> 00:13:20,199 Like I said, we play with temperature, 235 00:13:20,199 --> 00:13:24,236 we play with texture, wall texture, we play with even wetness. 236 00:13:24,537 --> 00:13:28,874 smells everything that you could imagine that makes up our world here. 237 00:13:29,008 --> 00:13:32,945 We use in immersive storytelling, and this makes memories clearer 238 00:13:33,179 --> 00:13:34,480 because it's body rooted 239 00:13:34,480 --> 00:13:37,950 and in the way that you experience this world now and you're remembering it. 240 00:13:38,250 --> 00:13:41,654 That's how we use those senses to try to create an experience for you. 241 00:13:41,921 --> 00:13:43,455 So that is through set and props. 242 00:13:43,455 --> 00:13:46,892 Like I said, light and sound smells, temperature, airflow. 243 00:13:46,892 --> 00:13:50,996 So making it windy, physical interactivity and then technology. 244 00:13:51,297 --> 00:13:53,599 And we often, like I said, give the audience a role 245 00:13:53,599 --> 00:13:55,201 so they have a mission or something 246 00:13:55,201 --> 00:13:58,003 to do in the world, which keeps them very rooted in that world. 247 00:13:58,003 --> 00:14:00,272 And we can change the storytelling and have it adapted 248 00:14:00,272 --> 00:14:02,775 because it's very involved with an audience at the time. 249 00:14:02,775 --> 00:14:05,811 And we use a lot of interactivity, both, with people in the room. 250 00:14:05,811 --> 00:14:08,380 But also digitally and has been proven. 251 00:14:08,380 --> 00:14:10,349 This is a quote from Science Direct. 252 00:14:10,349 --> 00:14:14,253 there was a study in late 2023 that immersive storytelling has a deeper 253 00:14:14,253 --> 00:14:18,357 emotional impact and a stronger internalization of information. 254 00:14:18,357 --> 00:14:21,660 So if you want somebody to remember something and with a gunpowder Plot, 255 00:14:21,660 --> 00:14:24,630 we had a mission in there that it was partly educational, 256 00:14:24,697 --> 00:14:28,601 that that this is a really good way to make people feel and understand 257 00:14:28,801 --> 00:14:31,804 a story and take away what you want them to take away. 258 00:14:31,937 --> 00:14:35,608 So I'm going to talk a little bit about the technologies we use. 259 00:14:35,808 --> 00:14:37,877 And this is because later when I'm talking about 260 00:14:37,877 --> 00:14:41,447 I want you to understand the technology so I can talk about how they're changing. 261 00:14:41,814 --> 00:14:44,416 So I'm really sorry if some of you know all of these, 262 00:14:44,416 --> 00:14:46,986 but I'll try to get through them fairly quickly. 263 00:14:46,986 --> 00:14:49,555 so first of all, we have VR and we have a man here 264 00:14:49,555 --> 00:14:52,591 in, in his headset looking at this lovely butterfly. 265 00:14:52,892 --> 00:14:55,060 And this is essentially fully created. 266 00:14:55,060 --> 00:14:58,797 3D space is most often made in a game engine, which is, 267 00:14:59,131 --> 00:15:01,700 a 3D world creating, space. 268 00:15:01,700 --> 00:15:06,939 And this is used in museums, video games, amusement parks, immersive experiences. 269 00:15:07,172 --> 00:15:09,708 and you probably will have come across this and, 270 00:15:10,976 --> 00:15:13,979 we have a lot more access to it now with Oculus and things like that in the home. 271 00:15:13,979 --> 00:15:16,982 And we use three pieces of it in, gunpowder. 272 00:15:16,982 --> 00:15:20,486 So, augmented reality really does what it says. 273 00:15:20,753 --> 00:15:24,390 So, if you're using your personal handset and you're looking at the world 274 00:15:24,390 --> 00:15:27,993 through it, it gives you a live video feed and then put something on top of it. 275 00:15:27,993 --> 00:15:30,529 So it just augments the reality you're seeing. 276 00:15:30,529 --> 00:15:33,933 And if you've ever seen anyone playing Pokemon Go, that's what that is. 277 00:15:35,167 --> 00:15:38,037 this is, slightly old fashioned now, 278 00:15:38,037 --> 00:15:41,540 but a diagram of Ambisonics or binaural sound. 279 00:15:41,807 --> 00:15:44,910 And this is the way that we create 3D sound in a space. 280 00:15:45,110 --> 00:15:48,180 And, experiencing sound in 3D 281 00:15:48,447 --> 00:15:51,450 creates a world in a much better way than 2D. 282 00:15:51,750 --> 00:15:54,753 and when it's 3D, we're also talking about underneath and above, 283 00:15:55,487 --> 00:15:59,758 and in gunpowder, we have a, a room where we use this. 284 00:15:59,758 --> 00:16:01,894 Essentially you're hiding from the Kingsmen 285 00:16:01,894 --> 00:16:05,164 and you're being put in a cupboard, essentially they they were hunting, 286 00:16:05,531 --> 00:16:08,534 Catholics at the time, very, very awfully. 287 00:16:08,634 --> 00:16:11,303 so you're hiding in there, and the Kingsmen are coming for you, 288 00:16:11,303 --> 00:16:13,973 and we use the speakers all the way around this tiny little space 289 00:16:13,973 --> 00:16:16,342 you're in to make it feel like they're behind you. 290 00:16:16,342 --> 00:16:17,977 That's a dog sniffing at your feet. 291 00:16:17,977 --> 00:16:19,445 Someone's coming to the door. 292 00:16:19,445 --> 00:16:22,081 It's all done in sound design, but people often think it's real. 293 00:16:23,582 --> 00:16:25,117 lighting and projection. 294 00:16:25,117 --> 00:16:29,154 You will have seen this, but projection really uses, massive, 295 00:16:29,455 --> 00:16:33,192 effects to create, a 3D effect or bring large imagery to light. 296 00:16:33,392 --> 00:16:36,395 But we also use a lot of lighting that you would see in normal theater 297 00:16:36,395 --> 00:16:39,465 stuff, like maybe a, window, 298 00:16:40,265 --> 00:16:43,168 looks very much like daylight and a shadow passes by it 299 00:16:43,168 --> 00:16:47,006 so that you feel like there's somebody there, for example, or weather effects, 300 00:16:47,006 --> 00:16:50,943 all of all of the theatrical storytelling you would expect motion 301 00:16:50,943 --> 00:16:52,811 simulators and haptics. 302 00:16:52,811 --> 00:16:54,279 something we use quite a lot. 303 00:16:54,279 --> 00:16:59,885 So motion simulators are where, you are in on top of a machine that moves you. 304 00:17:00,119 --> 00:17:04,556 And it's most often used in connection with VR or other types of immersion, 305 00:17:04,556 --> 00:17:07,059 so that, for example, we have, an experience 306 00:17:07,059 --> 00:17:09,028 where you're sitting in a boat going down the river 307 00:17:09,028 --> 00:17:12,631 and you get tilted around on a machine exactly the same as the VR. 308 00:17:12,731 --> 00:17:16,602 It does make it very well real, and it can tilt a tiny bit and people 309 00:17:16,602 --> 00:17:17,703 still scream their heads off. 310 00:17:18,737 --> 00:17:20,672 and, haptics is essentially 311 00:17:20,672 --> 00:17:24,009 using vibration or physical sensation related to the digital world. 312 00:17:24,009 --> 00:17:27,212 So even in your hand setting, something happens and it vibrates. 313 00:17:27,813 --> 00:17:29,014 and we use it quite a lot. 314 00:17:29,014 --> 00:17:31,083 In gunpowder, for example, we have an explosion 315 00:17:31,083 --> 00:17:34,053 and the everything vibrates in the room and it's quite evocative. 316 00:17:34,686 --> 00:17:35,554 holograms. 317 00:17:35,554 --> 00:17:40,292 So holograms is using projections on unusual services, 318 00:17:40,626 --> 00:17:43,562 surfaces to create the illusion of a presence. 319 00:17:43,562 --> 00:17:46,832 And this is from above, which, which is an amazing show in London. 320 00:17:47,366 --> 00:17:50,769 and it's essentially creating the illusion of a 3D object in space. 321 00:17:52,171 --> 00:17:54,940 None of these people are real. 322 00:17:54,940 --> 00:17:57,943 On the stage. 323 00:18:03,382 --> 00:18:07,286 So explain to me. 324 00:18:07,386 --> 00:18:11,890 But think about it now. 325 00:18:11,890 --> 00:18:13,759 We saw we get. 326 00:18:13,759 --> 00:18:17,062 So, that was all done with hologram technology and it creates 327 00:18:17,062 --> 00:18:18,630 the illusion of somebody there. 328 00:18:18,630 --> 00:18:21,667 So, this is, one that you may not know. 329 00:18:21,667 --> 00:18:23,936 This is, volume technology. 330 00:18:23,936 --> 00:18:27,639 And essentially this is using a very large scale LED screen. 331 00:18:28,140 --> 00:18:29,808 it's used a lot in video production, 332 00:18:29,808 --> 00:18:33,278 but it's being used often now in, immersive experiences. 333 00:18:33,579 --> 00:18:34,880 I'll just let them explain it. 334 00:18:36,915 --> 00:18:39,118 I couldn't believe what I was watching. 335 00:18:39,118 --> 00:18:41,920 I remember the first time I walked on the volume and I was like, 336 00:18:41,920 --> 00:18:45,991 wow, you can literally take actors into a real space. 337 00:18:45,991 --> 00:18:49,761 What's not being well, I tried to describe to my son that I just said, 338 00:18:50,762 --> 00:18:53,699 oh, it's like the biggest TV 339 00:18:53,699 --> 00:18:56,702 he'll ever see, and we just act in front of it. 340 00:18:56,802 --> 00:18:59,071 You see the whole landscape in front of you. 341 00:18:59,071 --> 00:19:01,006 So you're really looking at the sea and. 342 00:19:01,006 --> 00:19:02,141 It looks real. 343 00:19:02,141 --> 00:19:05,144 He looks real. 344 00:19:08,981 --> 00:19:09,781 So it's essentially 345 00:19:09,781 --> 00:19:13,318 very dense pixel LED screens and they look very real. 346 00:19:13,519 --> 00:19:16,321 And one of the exciting things about it is they throw light. 347 00:19:16,321 --> 00:19:19,024 So if you're in it and you're you feel like 348 00:19:19,024 --> 00:19:22,027 you're on that, you're also lit correctly, which is, 349 00:19:22,261 --> 00:19:25,264 pretty extraordinary for immersive experiences as well. 350 00:19:25,564 --> 00:19:30,269 and here we have a quite old picture here, but this is face and body capture. 351 00:19:30,602 --> 00:19:34,540 And what we have here is a picture from avatar, the film. 352 00:19:34,540 --> 00:19:38,644 But essentially this is creating likenesses for digital avatars, 353 00:19:39,411 --> 00:19:42,080 mocap, performance capture, 354 00:19:42,080 --> 00:19:45,284 facial capture and finally a AI, 355 00:19:45,450 --> 00:19:48,820 which we will talk about, and I couldn't resist I love him. 356 00:19:48,820 --> 00:19:49,922 Here's a picture of Keanu. 357 00:19:50,956 --> 00:19:54,092 and here he is in the most famous film ever made about AI, 358 00:19:54,092 --> 00:19:56,094 which I think is where a lot of our worries 359 00:19:56,094 --> 00:19:59,097 about what the hell it's going to do to officer culture come from. 360 00:19:59,765 --> 00:20:01,400 so here we are at last. 361 00:20:01,400 --> 00:20:02,935 Let's talk about it. 362 00:20:02,935 --> 00:20:05,304 what is AI? 363 00:20:05,304 --> 00:20:08,807 and, hopefully you'll see through the next a little bit of time 364 00:20:08,807 --> 00:20:12,144 how this is going to change some of those technologies I've just spoken about 365 00:20:12,411 --> 00:20:15,747 and how it's going to infiltrate a lot of the way we experience culture. 366 00:20:16,448 --> 00:20:18,317 So it's worth saying this. 367 00:20:18,317 --> 00:20:21,453 You probably know that we all use AI all the time. 368 00:20:22,321 --> 00:20:26,725 an AI sound glamorous, but a lot of it is just processed and programs 369 00:20:27,292 --> 00:20:30,162 and, briefly, you you probably use a bunch of it 370 00:20:30,162 --> 00:20:33,599 this morning if you have access to anything digital, your phone camera, 371 00:20:33,699 --> 00:20:38,637 recommendations for light, focus settings, email filtering, fraud detection. 372 00:20:39,338 --> 00:20:43,141 so my bank council, my call it the other day because I was in Mexico, 373 00:20:43,442 --> 00:20:44,676 it got confused. 374 00:20:44,676 --> 00:20:46,311 That was an AI that did that. 375 00:20:46,311 --> 00:20:49,314 It decided I wasn't behaving in my normal patterns. 376 00:20:49,448 --> 00:20:52,618 all of our social feeds, Google route optimization, 377 00:20:53,652 --> 00:20:56,955 airline pricing and your home devices. 378 00:20:56,955 --> 00:20:59,958 So it's everywhere and it's been everywhere for a long time. 379 00:21:00,959 --> 00:21:03,161 and there are three types of AI 380 00:21:03,161 --> 00:21:07,432 that the, scientists, as a bunch have, 381 00:21:09,601 --> 00:21:10,636 identified. 382 00:21:10,636 --> 00:21:12,671 And it's worth saying that I'm not a technician. 383 00:21:12,671 --> 00:21:15,907 So if you have anything super technical to ask, you can ask it to me. 384 00:21:15,907 --> 00:21:18,910 I'll ask ChatGPT and then we can talk about it. 385 00:21:19,444 --> 00:21:21,847 so super intelligent AI doesn't just 386 00:21:21,847 --> 00:21:24,916 mimic or understand human intelligence, it's actually more intelligent. 387 00:21:25,183 --> 00:21:26,852 That's the top level. 388 00:21:26,852 --> 00:21:31,790 General AI is the next level down, and this is a machine with the ability 389 00:21:31,790 --> 00:21:35,761 to apply intelligence to any problem, rather than just one specific problem, 390 00:21:36,061 --> 00:21:37,262 much like a human being. 391 00:21:37,262 --> 00:21:41,099 And the last one is narrow AI, which is designed to perform a narrow 392 00:21:41,099 --> 00:21:44,269 or specific task. We only have narrow. 393 00:21:44,770 --> 00:21:47,105 We've got some things that are looking like they might move, but we don't. 394 00:21:47,105 --> 00:21:50,008 We're not anywhere near the other ones at this point. 395 00:21:50,008 --> 00:21:54,513 And as I got these definitions of ChatGPT, I thought I better check in the real 396 00:21:54,513 --> 00:21:57,516 well to make sure ChatGPT wasn't lulling me into a false sense 397 00:21:57,516 --> 00:22:01,520 security and making, making it so self hiding. 398 00:22:02,087 --> 00:22:03,155 so yes, it's true. 399 00:22:03,155 --> 00:22:07,326 Currently we are still quite a long way from any of the others, so no panic 400 00:22:07,326 --> 00:22:08,827 there just yet. 401 00:22:08,827 --> 00:22:11,430 And there are two types of AI, 402 00:22:11,430 --> 00:22:12,331 within generative 403 00:22:12,331 --> 00:22:14,232 AI and generative AI is what we're going to 404 00:22:14,232 --> 00:22:16,668 be talking about, except the ones makes the pictures of the text. 405 00:22:16,668 --> 00:22:19,204 That's the ones that you will have been seeing a lot in the news. 406 00:22:19,204 --> 00:22:21,106 And there's machine learning, which uses a data 407 00:22:21,106 --> 00:22:24,109 set to make determinations of predictions from that data, 408 00:22:24,242 --> 00:22:26,678 and that relies on somebody inputting data. 409 00:22:26,678 --> 00:22:29,581 And there's deep learning, which is more a bit more like our brains. 410 00:22:29,581 --> 00:22:32,918 It's a bit more like a neural network, and it cross-references lots of things. 411 00:22:33,585 --> 00:22:37,989 and this is used for more, unstructured output like image generation or speech. 412 00:22:39,691 --> 00:22:41,293 so it's worth just going. 413 00:22:41,293 --> 00:22:43,862 What is, data set? 414 00:22:43,862 --> 00:22:46,832 All generative AI uses a data set. 415 00:22:46,832 --> 00:22:50,268 A data set is just a collection of data, images, text numbers, 416 00:22:50,736 --> 00:22:53,338 which are used to train and test AI models. 417 00:22:53,338 --> 00:22:55,207 And in the case of ChatGPT, 418 00:22:55,207 --> 00:22:59,745 this is a thing called the common crawl, which is a data scraper from the internet. 419 00:22:59,978 --> 00:23:03,281 And for Midjourney, which is an AI image generator, 420 00:23:04,015 --> 00:23:07,185 they're spreadsheet of where they were taking, stuff from was released. 421 00:23:07,352 --> 00:23:10,989 There was 16,000 artist names that they were using for image generation, 422 00:23:11,223 --> 00:23:15,060 and they were everybody from David Hockney and the very famous Leonardo da Vinci, 423 00:23:15,227 --> 00:23:18,497 all the way down to a six year old who drew a picture for a hospital. 424 00:23:18,697 --> 00:23:21,533 So they really were casting the net wide. 425 00:23:21,533 --> 00:23:25,504 But there are some inherent problems here within a data set, 426 00:23:25,704 --> 00:23:27,272 and it is very controversial. 427 00:23:27,272 --> 00:23:29,641 And people are getting pretty wound up about 428 00:23:29,641 --> 00:23:31,710 where this information is coming from. 429 00:23:31,710 --> 00:23:33,278 And the first one is bias. 430 00:23:33,278 --> 00:23:37,048 So if the dataset includes bias, which it probably does 431 00:23:37,048 --> 00:23:40,051 depending on where you're scraping it from, the AI model trained on 432 00:23:40,051 --> 00:23:43,288 it will inherit and often amplify the biases. 433 00:23:43,455 --> 00:23:47,159 So for example, if a dataset is used to train facial recognition 434 00:23:47,159 --> 00:23:51,229 predominantly contains images, of people from a certain racial group, 435 00:23:51,530 --> 00:23:54,533 then they will have the AI will have a problem 436 00:23:54,566 --> 00:23:57,169 with other groups of people. 437 00:23:57,169 --> 00:24:02,340 And you do see this, and because a lot of, current AI generative 438 00:24:02,340 --> 00:24:05,477 AI that we're seeing is very Western leading is very made in America. 439 00:24:05,677 --> 00:24:08,680 You're seeing a bent towards that culture. 440 00:24:08,847 --> 00:24:11,082 So privacy is a really massive one. 441 00:24:11,082 --> 00:24:14,085 Data sets often contain personal or sensitive information. 442 00:24:14,286 --> 00:24:15,454 And it's popped in in AI. 443 00:24:15,454 --> 00:24:18,256 And people don't know what's happening to their data. 444 00:24:18,256 --> 00:24:22,160 Copyright and intellectual property artists haven't given their permission 445 00:24:22,160 --> 00:24:26,898 to use their work, so they feel like their work is being essentially cannibalized. 446 00:24:27,232 --> 00:24:32,504 And, there's a lot of worry here around how their work is being used 447 00:24:32,504 --> 00:24:35,640 and essentially when it's also being monetized and someone's, 448 00:24:36,741 --> 00:24:39,811 an AI is created an image, it's very like someone else's work. 449 00:24:39,811 --> 00:24:42,614 It's obviously used a dataset containing their work 450 00:24:42,614 --> 00:24:44,616 and someone that is selling it or making money off it. 451 00:24:44,616 --> 00:24:47,819 That's really that's an a really ethically difficult area. 452 00:24:48,153 --> 00:24:51,223 And, there's a tool out at the minute called nightshade 453 00:24:51,490 --> 00:24:54,693 and it lets artists put invisible changes 454 00:24:54,893 --> 00:24:57,896 into the pixels of their art before they upload it, 455 00:24:57,929 --> 00:25:01,333 so that if it's then scraped into an AI, it can break the AI. 456 00:25:01,533 --> 00:25:04,736 It can, caused it to behave in weird ways. 457 00:25:05,837 --> 00:25:08,573 so, I did this, 458 00:25:08,573 --> 00:25:11,243 and then last week, ChatGPT for, or ever 459 00:25:11,243 --> 00:25:14,246 came out, which does like all of this, but there are very 460 00:25:14,312 --> 00:25:17,349 these are the kind of ways that generative AI is working text attacks, 461 00:25:18,016 --> 00:25:22,621 text, video, video to text all of these configurations in various different ways. 462 00:25:22,687 --> 00:25:26,925 And there's loads and loads and loads of different types of AI that you can access. 463 00:25:27,158 --> 00:25:30,529 And some of them are really incredible and very useful. 464 00:25:31,062 --> 00:25:34,299 So how is I already used in the arts? 465 00:25:34,633 --> 00:25:37,569 and I'm going to go back just quickly to the more boring, process 466 00:25:37,569 --> 00:25:39,905 driven stuff rather than the more generative AI, 467 00:25:39,905 --> 00:25:43,975 but ticket sales, dynamic prices, audience analysis is a massive one. 468 00:25:44,175 --> 00:25:45,810 We can see what an audience is doing 469 00:25:45,810 --> 00:25:48,780 and then predict what they're going to need within a, in a, 470 00:25:49,247 --> 00:25:52,817 in an experience email personalization, all the stuff that we talked about before, 471 00:25:53,518 --> 00:25:55,887 but one that is sort of changing stuff, 472 00:25:57,155 --> 00:26:00,492 for audience journeys is operational automation. 473 00:26:00,759 --> 00:26:02,360 And a lot of this is already underway. 474 00:26:02,360 --> 00:26:02,694 And I'll show 475 00:26:02,694 --> 00:26:04,262 you've got a little bit of this in gunpowder, 476 00:26:04,262 --> 00:26:07,232 but this is where the entire journey of somebody from buying a ticket, 477 00:26:07,432 --> 00:26:11,036 getting in, and all of their journey all the way through is automated. 478 00:26:11,036 --> 00:26:14,039 And it really is changing a lot about how, 479 00:26:14,139 --> 00:26:17,642 what organizations can achieve because of this level of automation. 480 00:26:18,209 --> 00:26:20,879 So, just for gunpowder, I'm 481 00:26:20,879 --> 00:26:24,249 just going to tell you a couple of things that, we're kind of innovative 482 00:26:24,449 --> 00:26:28,353 that, isn't entirely run by AI, but is starting to move towards it. 483 00:26:28,353 --> 00:26:31,356 So we have, loads of actors in, 484 00:26:31,690 --> 00:26:35,994 gunpowder and, they, move, all over the building. 485 00:26:35,994 --> 00:26:39,965 And because we have different people in each room at each time, 486 00:26:40,632 --> 00:26:43,635 working out where they should go at any one point is, is tricky. 487 00:26:43,668 --> 00:26:48,406 So we've been using it to try to help us, work with that control systems. 488 00:26:48,406 --> 00:26:49,441 Like I said, automation. 489 00:26:49,441 --> 00:26:52,177 Gunpowder runs without anybody. 490 00:26:52,177 --> 00:26:57,115 One button is pressed and it goes, and that's automated, audience tracking. 491 00:26:57,115 --> 00:26:58,249 I'm going to show you. 492 00:26:58,249 --> 00:26:59,851 And in Museum of Shakespeare, 493 00:26:59,851 --> 00:27:04,322 we were looking at, for example, automating audience digital takeaways. 494 00:27:04,456 --> 00:27:08,994 So, you go in the camera there, you do something, 495 00:27:08,994 --> 00:27:12,497 you're interacting with something that, data is then taken away, 496 00:27:12,697 --> 00:27:16,801 AI edits it and packages it off for you all in an automation. 497 00:27:18,103 --> 00:27:20,372 so, the key innovation in gunpowder. 498 00:27:20,372 --> 00:27:23,908 And you can see here this is our backstage control system and this, 499 00:27:24,743 --> 00:27:28,179 triggers everything from the audience movement to the lighting cues. 500 00:27:28,179 --> 00:27:29,481 Everything is automated. 501 00:27:29,481 --> 00:27:32,484 And companies are now using AI to achieve this, as I said. 502 00:27:32,784 --> 00:27:35,587 And I'm just going to show you a big benefit of this. 503 00:27:35,587 --> 00:27:39,758 This is, the, spreadsheet we were using when we started, and it's since been 504 00:27:39,758 --> 00:27:43,762 updated with a lot of this technology, and this is following one audience group. 505 00:27:43,762 --> 00:27:45,130 So I'm just going to show you it. 506 00:27:45,130 --> 00:27:48,967 So, this is following the pink one is one audience group. 507 00:27:49,501 --> 00:27:53,438 We had to make a spreadsheet that goes minute by minute through the entire day. 508 00:27:53,605 --> 00:27:56,274 And you can see the other audience groups coming in behind them. 509 00:27:56,274 --> 00:27:56,941 Look at this. 510 00:27:56,941 --> 00:27:59,177 This is a made by amazing stage manager. 511 00:27:59,177 --> 00:28:00,211 It was a lot of work. 512 00:28:00,211 --> 00:28:06,184 Now we can automate this so we don't have to do this type of audience modeling. So 513 00:28:07,252 --> 00:28:07,719 great. 514 00:28:07,719 --> 00:28:10,588 So just on to AI art. 515 00:28:10,588 --> 00:28:15,060 So actual creation of AI art, which is happening all over the place, is, 516 00:28:15,360 --> 00:28:19,798 really the very pointy end of where we get the discussion about, 517 00:28:20,131 --> 00:28:24,436 if art only has a value because of a human intention 518 00:28:24,436 --> 00:28:29,407 sitting behind it, so is art only art because a human had a particular 519 00:28:29,407 --> 00:28:32,677 intention and emotional impact they wanted to feel when they made it. 520 00:28:32,844 --> 00:28:35,747 And without that is it art all? 521 00:28:35,747 --> 00:28:38,083 so here we have the girl with the Pearl earring. 522 00:28:38,083 --> 00:28:41,086 This was out on loan, from The Hague. 523 00:28:41,186 --> 00:28:43,321 and there was a competition to replace it. 524 00:28:43,321 --> 00:28:48,059 And an artist called Julian Van Driessen created this, 525 00:28:48,460 --> 00:28:51,496 using AI, and everyone went nuts. 526 00:28:52,964 --> 00:28:54,966 which is very controversial. 527 00:28:54,966 --> 00:28:58,870 and, Artnet called it a justified version of itself. 528 00:28:58,870 --> 00:29:01,539 Don't know what the translation of that is. 529 00:29:01,539 --> 00:29:06,377 and that was a super controversial use of AI, 530 00:29:07,445 --> 00:29:10,448 in direct comparison to a piece of art. 531 00:29:10,582 --> 00:29:13,451 there are also some amazing artists out there. 532 00:29:13,451 --> 00:29:15,720 and if you don't know them, these are some really brilliant people. 533 00:29:15,720 --> 00:29:18,690 So this is Rafiq and Adam. 534 00:29:20,925 --> 00:29:21,960 When I do arts 535 00:29:21,960 --> 00:29:25,663 since day one, my intention is to make art for anyone. 536 00:29:26,030 --> 00:29:28,566 Any age, any background, any culture. 537 00:29:28,566 --> 00:29:31,569 And I'm trying to find the language of humanity. 538 00:29:33,071 --> 00:29:34,472 So just a little clip there of him. 539 00:29:34,472 --> 00:29:38,042 And again, he's very much using questions of identity. 540 00:29:38,343 --> 00:29:41,012 And also you can see some of that large LED 541 00:29:41,012 --> 00:29:43,982 technology there in his video. 542 00:29:43,982 --> 00:29:46,951 and this is Mario Klinsmann. 543 00:29:49,320 --> 00:29:51,990 If you hear somebody playing a piano, 544 00:29:51,990 --> 00:29:55,627 would you ever say ask, is the piano the artist? No. 545 00:29:56,060 --> 00:29:57,829 So same thing here. 546 00:29:57,829 --> 00:30:02,433 Just because it's a complicated mechanism, it doesn't change the rules. 547 00:30:09,240 --> 00:30:12,210 And memories of passers by is a machine that I created 548 00:30:12,443 --> 00:30:15,446 that will keep on 549 00:30:15,480 --> 00:30:19,117 generating portraits of non-existing people 550 00:30:20,518 --> 00:30:22,987 forever. 551 00:30:22,987 --> 00:30:23,655 And there we go. 552 00:30:23,655 --> 00:30:27,158 And you can see here he's starting a conversation there that we will talk 553 00:30:27,158 --> 00:30:30,161 about in a second about AI as a collaborator, 554 00:30:30,361 --> 00:30:33,498 not just as, something separate to the artist. 555 00:30:33,865 --> 00:30:37,202 And this is, a very exciting woman called 556 00:30:37,202 --> 00:30:40,471 Singing Chung, and she is using a headset. 557 00:30:40,471 --> 00:30:43,474 I'm going to play this and talk over it, so that you can, 558 00:30:43,608 --> 00:30:45,577 it's quite a little bit long. 559 00:30:45,577 --> 00:30:49,881 she's using a headset, and it's reading her biometric information, 560 00:30:50,281 --> 00:30:55,386 so it's reading her heart rate and the temperature and how all of those things. 561 00:30:55,386 --> 00:30:58,456 And it's converting it into paint stroke through these AI, 562 00:30:59,724 --> 00:31:01,860 animated robot arms. 563 00:31:01,860 --> 00:31:05,463 And as the robot arms are doing something that she likes 564 00:31:05,463 --> 00:31:08,433 or enjoys, her biometric readings will change. 565 00:31:08,600 --> 00:31:13,738 So she's really in direct conversation with that robot creating art, which is, 566 00:31:14,973 --> 00:31:16,407 pretty extraordinary way to 567 00:31:16,407 --> 00:31:19,410 try to collaborate with a machine. 568 00:31:19,410 --> 00:31:21,880 so here we go into this hardware. 569 00:31:21,880 --> 00:31:22,780 I'm going to talk about this. 570 00:31:22,780 --> 00:31:25,783 So I an immersive, 571 00:31:25,917 --> 00:31:27,151 creation. 572 00:31:27,151 --> 00:31:30,054 So I'm going to talk a little bit about what I think's going to happen 573 00:31:30,054 --> 00:31:32,590 and weave in with some of what's already happening 574 00:31:32,590 --> 00:31:34,392 because it's changing so quickly. 575 00:31:34,392 --> 00:31:35,894 So how is it being used now? 576 00:31:35,894 --> 00:31:38,263 How will it be used? I'm going to discuss that. 577 00:31:38,263 --> 00:31:41,266 I'm going to talk about idea generation and collaboration. 578 00:31:42,000 --> 00:31:45,570 and this brings up questions of copyright and who owns AI generated work, 579 00:31:45,570 --> 00:31:48,573 whether it's the people prompting it or the thing itself. 580 00:31:48,606 --> 00:31:52,043 The creation of 3D worlds is a huge one, and I think it's going to change 581 00:31:52,043 --> 00:31:53,511 pretty much everything. 582 00:31:53,511 --> 00:31:56,481 Personalization is also going to change, a lot 583 00:31:56,481 --> 00:31:59,484 of how we're experiencing, particularly in the museum sector, 584 00:32:00,151 --> 00:32:04,856 character creation and voice and image cloning, and then autonomous 585 00:32:04,856 --> 00:32:08,126 characters, characters that can just exist and talk on their own. 586 00:32:08,927 --> 00:32:11,162 and I want to talk to you also about accessibility, 587 00:32:11,162 --> 00:32:14,799 because I think this is an under looked area, a bit of AI, and it's huge. 588 00:32:14,799 --> 00:32:17,802 If you're talking about taking people into venues, it's massive. 589 00:32:18,636 --> 00:32:19,737 and I'll leave this three 590 00:32:19,737 --> 00:32:22,740 with a little bit of the ethical and philosophical considerations. 591 00:32:23,541 --> 00:32:26,277 Okay. So idea generation and development. 592 00:32:26,277 --> 00:32:28,112 So I use AI quite a lot 593 00:32:28,112 --> 00:32:31,215 when I'm trying to come up with things and I'm trying to make images. 594 00:32:31,649 --> 00:32:33,484 and I'm just going to show you a very basic one. 595 00:32:34,619 --> 00:32:36,187 because I'm trying to ask the question is, 596 00:32:36,187 --> 00:32:39,357 can I be a legitimate creative collaborator? 597 00:32:40,425 --> 00:32:42,660 and again, this poses these questions where human 598 00:32:42,660 --> 00:32:45,663 input ends and creation AI creation begins. 599 00:32:46,064 --> 00:32:47,198 But here we have a cat. 600 00:32:47,198 --> 00:32:49,734 I'm not obsessed with cats and I'm quite nice. 601 00:32:49,734 --> 00:32:51,769 So I have a cat. But here we have a cat. 602 00:32:51,769 --> 00:32:57,342 So I asked Midjourney to make me an image of, So here's the prompt. 603 00:32:57,508 --> 00:33:00,745 An immersive exhibition about cats featuring 604 00:33:00,745 --> 00:33:04,048 a giant cat head that you can walk inside in a museum setting. 605 00:33:04,048 --> 00:33:06,851 Say you were making something about a cat, right? 606 00:33:06,851 --> 00:33:08,252 So this image is interesting. 607 00:33:08,252 --> 00:33:11,289 It gives scale, it gives interest, it gives a sort of feeling. 608 00:33:11,289 --> 00:33:14,292 All this idea might work. 609 00:33:14,292 --> 00:33:16,494 but when you actually look at it, it doesn't give us the 610 00:33:16,494 --> 00:33:18,196 how doesn't give materiality. 611 00:33:18,196 --> 00:33:20,131 Usability doesn't give us anything like that. 612 00:33:21,099 --> 00:33:24,202 and so this is a tool, to create very, very quickly 613 00:33:24,202 --> 00:33:27,872 and very easily an image that communicates an idea, its concept art. 614 00:33:28,473 --> 00:33:31,309 But so far, none of this is replacing the humans that I would work with. 615 00:33:31,309 --> 00:33:34,412 It might speed up the process, but I would still need a 3D design. 616 00:33:34,679 --> 00:33:36,914 the spatial expert builders. 617 00:33:36,914 --> 00:33:39,150 I still need to make my material choices. 618 00:33:39,150 --> 00:33:41,285 Everything that I'd need to do without AI, 619 00:33:41,285 --> 00:33:43,354 and I would need an actual artist to draw this. 620 00:33:43,354 --> 00:33:46,357 But when you're thinking about concept artist, that is sticky. 621 00:33:47,125 --> 00:33:50,428 Why would I ask them to spend a week or a few days drawing this? 622 00:33:50,428 --> 00:33:54,065 Or I can do it in literally 30s just to exemplify an idea. 623 00:33:55,099 --> 00:33:58,469 this is, very basic, but this is ChatGPT just, 624 00:33:58,736 --> 00:34:01,572 I object to explain nuclear fusion to me as if I was a 12 year old. 625 00:34:01,572 --> 00:34:04,409 I wouldn't bother reading it all, but it's very handy 626 00:34:04,409 --> 00:34:06,177 if there's a concept or something I don't understand, 627 00:34:06,177 --> 00:34:09,080 and I need to incorporate it in what I'm doing. Here it is. 628 00:34:10,381 --> 00:34:12,250 And ChatGPT has a stool, 629 00:34:12,250 --> 00:34:15,720 and here you can you you can see specialized GPT models. 630 00:34:15,953 --> 00:34:18,356 This one was for creating presentations. 631 00:34:18,356 --> 00:34:22,560 And you can see here I asked it to make me some slides on the future of AI. 632 00:34:23,261 --> 00:34:25,563 So there you go. 633 00:34:25,563 --> 00:34:28,533 and this is Sam Altman from, ChatGPT. 634 00:34:29,100 --> 00:34:33,371 And he's just going to talk about here how he has used, 635 00:34:33,571 --> 00:34:36,574 been using AI. 636 00:34:38,376 --> 00:34:40,745 Are there use cases that you've gravitated to? 637 00:34:40,745 --> 00:34:46,250 One surprising is putting my phone on the table while I'm, like, really? 638 00:34:46,250 --> 00:34:49,454 In the zone of working and then without having to, like, 639 00:34:49,454 --> 00:34:52,757 change windows or change what I'm doing, using it just like another channel. 640 00:34:53,224 --> 00:34:56,060 So I'm like, working on something I would normally like, stop 641 00:34:56,060 --> 00:34:58,196 what I'm doing, switch to another tab, 642 00:34:58,196 --> 00:35:00,331 google something and click around or whatever. 643 00:35:00,331 --> 00:35:04,001 But while I'm like still doing it to just ask and get like an instant response 644 00:35:04,502 --> 00:35:05,570 without changing 645 00:35:05,570 --> 00:35:08,573 from what I was looking at on my computer, that's been a surprisingly cool thing. 646 00:35:08,573 --> 00:35:09,240 So let's talk about. 647 00:35:10,641 --> 00:35:13,144 So, it's worth saying if you 648 00:35:13,144 --> 00:35:16,347 haven't seen the updates from ChatGPT from last week, they are extraordinary. 649 00:35:16,347 --> 00:35:19,283 So I'm just going to this is ChatGPT on my phone 650 00:35:19,283 --> 00:35:22,286 and I'm just going to ask him a question. 651 00:35:23,054 --> 00:35:24,422 Hi. I'm currently 652 00:35:24,422 --> 00:35:27,625 doing a presentation on AI to a roomful of people. 653 00:35:27,992 --> 00:35:30,228 I would really love it if you could introduce yourself 654 00:35:30,228 --> 00:35:33,798 so you can tell them what ChatGPT for AI you can do. 655 00:35:34,098 --> 00:35:36,901 Could you say hello to them and please explain why you're so exciting? 656 00:35:36,901 --> 00:35:39,904 And could you do it in 30s? 657 00:35:42,039 --> 00:35:42,840 Hello everyone! 658 00:35:42,840 --> 00:35:47,645 I'm ChatGPT, a conversational AI built on the GPT four architecture by OpenAI. 659 00:35:47,678 --> 00:35:52,016 I can help with a wide range of tasks, from answering questions and explaining 660 00:35:52,016 --> 00:35:56,420 concepts, to assisting with writing and generating creative content. 661 00:35:56,721 --> 00:36:00,925 What makes me exciting is my ability to understand and generate human like text 662 00:36:01,058 --> 00:36:03,928 making interactions natural and engaging. 663 00:36:03,928 --> 00:36:04,562 Whether you need. 664 00:36:04,562 --> 00:36:06,264 Help with that, you get the idea. 665 00:36:06,264 --> 00:36:10,001 It's nuts, it's amazing, and it's really changing so quickly. 666 00:36:10,234 --> 00:36:14,839 That voice is so much better than AI generated voices of even like two months ago. 667 00:36:16,007 --> 00:36:17,875 so back to image creation. 668 00:36:17,875 --> 00:36:20,011 And here this gets a bit stickier in terms of job loss. 669 00:36:20,011 --> 00:36:22,980 So I asked it you can see the prompts there. 670 00:36:23,481 --> 00:36:27,552 basically to make cover images for the Olaf and other stories. 671 00:36:27,952 --> 00:36:30,521 And I mean, I think these images are very beautiful. 672 00:36:30,521 --> 00:36:32,123 They're very graphic. They're very evocative. 673 00:36:32,123 --> 00:36:35,126 And I generated them in one minute, less than a minute. 674 00:36:35,293 --> 00:36:37,361 so what does this mean for graphic artists, 675 00:36:37,361 --> 00:36:39,997 if you're already established, probably not too much of an issue. 676 00:36:39,997 --> 00:36:42,066 But if you're starting out or learning 677 00:36:42,066 --> 00:36:45,369 this can draw like this quicker than you can do in a couple of weeks. 678 00:36:45,369 --> 00:36:48,239 It is. It is problematic. 679 00:36:48,239 --> 00:36:49,607 but there are different sides. 680 00:36:49,607 --> 00:36:52,610 People have a very strong opinions about AI. 681 00:36:52,843 --> 00:36:53,945 and there's a lot of ways 682 00:36:53,945 --> 00:36:57,515 I can be used collaborator and indeed that we do use AI as a collaborator. 683 00:36:57,815 --> 00:37:01,152 So image creation I just showed you for exploring ideas, 684 00:37:01,352 --> 00:37:04,722 sense checking you can put something in it and just ask it to, 685 00:37:05,389 --> 00:37:07,892 summarize what you said so you know that, you know, 686 00:37:07,892 --> 00:37:10,861 making sense style changes I can get it to. 687 00:37:10,995 --> 00:37:13,698 Oh, please. Could you, write me this job, 688 00:37:14,699 --> 00:37:18,369 application form in the style of this versus this? 689 00:37:18,369 --> 00:37:20,004 I can get it to change it. 690 00:37:20,004 --> 00:37:21,172 imagination prompts. 691 00:37:21,172 --> 00:37:24,175 Please give me some prompts so I can think about this thing. 692 00:37:24,308 --> 00:37:27,578 Idea, exploration, roleplaying, story planning. 693 00:37:28,145 --> 00:37:30,815 the roleplaying one is interesting because I can ask it to pretend 694 00:37:30,815 --> 00:37:35,019 to be an audience member from any particular background or idea, 695 00:37:35,019 --> 00:37:40,391 and and it can converse with me about, what their assume their expectations are. 696 00:37:40,658 --> 00:37:44,495 But they all do this question again of like, who is the creator? 697 00:37:44,729 --> 00:37:46,864 Is it me? Is it the AI? 698 00:37:46,864 --> 00:37:50,401 and I would say mainly at this point, me because I'm asking it to do something 699 00:37:50,401 --> 00:37:54,839 and then I'm taking it and using it, but it does lead to some, fine lines. 700 00:37:56,140 --> 00:37:59,710 and one of the arguments, which is pro AI again, is seeing 701 00:37:59,710 --> 00:38:04,282 AI is a great leveler as a democratization of access to creative tools. 702 00:38:04,615 --> 00:38:08,219 So, things like AI, video editing software 703 00:38:08,419 --> 00:38:11,188 when I was first starting out and if I needed to edit a video 704 00:38:11,188 --> 00:38:14,959 that was extremely expensive, it's difficult to do to film anything. 705 00:38:14,959 --> 00:38:16,794 And then edit it and probably show my age a bit. 706 00:38:16,794 --> 00:38:19,297 But, now that's very easy. 707 00:38:19,297 --> 00:38:20,331 Anybody can do it. 708 00:38:20,331 --> 00:38:23,334 A game of the art generation music competition. 709 00:38:23,401 --> 00:38:26,671 composition, production tools, help with writing 710 00:38:26,804 --> 00:38:29,707 your content, fashion and design software. 711 00:38:29,707 --> 00:38:34,512 So helping you make patterns, for example, AI driven animation and graphics 712 00:38:34,512 --> 00:38:37,948 and video creation from completely making a video just for you. 713 00:38:38,316 --> 00:38:42,353 So these are some of the things that, people are really excited about. 714 00:38:42,953 --> 00:38:45,289 One of the things it's bringing up is the power of the prompt. 715 00:38:45,289 --> 00:38:48,292 So people who are able to prompt it, well, I'm making a lot of money. 716 00:38:48,492 --> 00:38:52,163 And again, this is, that line of who is responsible for 717 00:38:52,163 --> 00:38:55,166 what's coming out the other end of the of the AI. 718 00:38:55,566 --> 00:38:59,770 and also, you can get this thing, we can get an AI to prompt an AI. 719 00:38:59,870 --> 00:39:02,873 So you can ask Midjourney, you can ask ChatGPT prompt. 720 00:39:02,873 --> 00:39:05,409 Midjourney can give you the best way to make a prompt. 721 00:39:06,577 --> 00:39:08,245 and that does bring me on to this question, 722 00:39:08,245 --> 00:39:12,183 which I think is a large philosophical question for the art world. 723 00:39:12,483 --> 00:39:16,854 So what happens if I uses AI in its data set? 724 00:39:17,555 --> 00:39:20,658 So, I'm calling this the Arborist effect. 725 00:39:20,658 --> 00:39:26,263 I've made up that name, but what, we know is the AI uses a data set. 726 00:39:26,597 --> 00:39:30,368 And what we're seeing is different types of AI static from open source 727 00:39:30,368 --> 00:39:32,470 AI image generated. There's a particular look. 728 00:39:32,470 --> 00:39:37,875 The AI is kind of making, and the internet is absolutely full with AI images. 729 00:39:37,875 --> 00:39:39,810 You can see them everywhere. 730 00:39:39,810 --> 00:39:43,514 And so sometimes an AI is using another AI image 731 00:39:43,514 --> 00:39:47,718 to make its image, and it's deepening this ascetic. 732 00:39:48,018 --> 00:39:49,954 And this is possibly not problematic. 733 00:39:49,954 --> 00:39:53,791 It's probably it is very interesting because are we heading for 734 00:39:53,791 --> 00:39:57,862 a whole new esthetic, a whole new look, a whole new art movement 735 00:39:58,095 --> 00:40:02,466 based on AI imagery that looks like AI imagery. 736 00:40:02,466 --> 00:40:05,136 So people are appreciating that for itself. 737 00:40:05,136 --> 00:40:07,605 But there is some things that are really dangerous about it. 738 00:40:07,605 --> 00:40:10,374 So, this is, an image. 739 00:40:10,374 --> 00:40:12,610 I asked it to mate of an English tutor town. 740 00:40:13,577 --> 00:40:15,880 I don't know how much you know about English tutor towns. 741 00:40:15,880 --> 00:40:17,748 They do not look like this. 742 00:40:17,748 --> 00:40:21,685 This is like, the most sort of all the stereotypes 743 00:40:21,685 --> 00:40:24,688 of an English due to town wraps up in one image. 744 00:40:24,722 --> 00:40:29,894 It's referencing inaccurate, earlier made eye images and kind of distilling 745 00:40:29,894 --> 00:40:32,897 and proliferating assumptions of what you to town would look like. 746 00:40:33,230 --> 00:40:35,900 So it's sort of doing well when we're making 747 00:40:35,900 --> 00:40:40,004 historical, experiences we call selected authenticity. 748 00:40:40,004 --> 00:40:44,408 Authenticity, which is the idea that the time or place somebody is 749 00:40:44,608 --> 00:40:48,078 imagining is more present to them than the reality of what it was like. 750 00:40:48,412 --> 00:40:51,415 And this is a classic example. 751 00:40:51,749 --> 00:40:54,919 and I made one of, Mexico City in the 1890s. 752 00:40:54,919 --> 00:40:57,455 I know you can tell me, is this accurate? 753 00:40:57,455 --> 00:40:58,823 Other is a 754 00:41:00,391 --> 00:41:03,527 is there anything in here that might be a bit worrying 755 00:41:03,527 --> 00:41:07,364 about what it's showing about the type of people, about anything? 756 00:41:08,098 --> 00:41:12,069 you can absolutely, make your own choices about that. 757 00:41:13,170 --> 00:41:16,106 so, I also wanted to have a quick 758 00:41:16,106 --> 00:41:19,109 look at when people are using AI to make images. 759 00:41:19,109 --> 00:41:20,444 Some of them are very beautiful. 760 00:41:20,444 --> 00:41:23,314 And the question then arises of, can AI images 761 00:41:23,314 --> 00:41:27,084 create a genuine esthetic and emotional response? 762 00:41:27,084 --> 00:41:31,322 And I think the answer has to be yes, because when you look at AI 763 00:41:31,322 --> 00:41:34,291 and photo realism, we've got an example of this. 764 00:41:34,558 --> 00:41:37,328 So, this is shoot amnesia. 765 00:41:37,328 --> 00:41:40,064 And this was a photo, 766 00:41:40,064 --> 00:41:43,033 by, the artist Boris Alqasem, 767 00:41:43,033 --> 00:41:46,504 and it won the Sony World Photography Awards in 2023. 768 00:41:46,904 --> 00:41:48,439 Except it's not a photograph. 769 00:41:48,439 --> 00:41:49,640 It's an AI image. 770 00:41:49,640 --> 00:41:52,543 And it was made by Dall-E two, which is an image generator. 771 00:41:52,543 --> 00:41:55,546 And he had he submitted it to expose the world, 772 00:41:55,980 --> 00:41:58,782 that the world of photography isn't really ready for this technology. 773 00:41:58,782 --> 00:42:00,117 I mean, it's very beautiful. 774 00:42:00,117 --> 00:42:03,654 And we now own image generators that are more powerful than that. 775 00:42:03,654 --> 00:42:05,356 We are onto Dall-E three, for example. 776 00:42:06,790 --> 00:42:09,793 and, I think it does really open up, 777 00:42:10,027 --> 00:42:13,864 a discourse around, photo realism and what happens with that. 778 00:42:14,632 --> 00:42:17,635 and so this is one I made in Midjourney, 779 00:42:17,635 --> 00:42:20,938 and the prompt I put in is there on the side, I won't read it all out. 780 00:42:21,005 --> 00:42:23,741 And it's pretty beautiful, but it is worth again here. 781 00:42:23,741 --> 00:42:29,213 Talking about bias, I did not specify in my prompt the ethnicity of that gentleman. 782 00:42:29,680 --> 00:42:32,683 I did specify Paris in the 1990s. 783 00:42:33,117 --> 00:42:35,452 but the fact that it's created him, 784 00:42:35,452 --> 00:42:38,055 a white man is fairly problematic. 785 00:42:38,055 --> 00:42:41,058 I ran it again and again without specifying Paris. 786 00:42:41,125 --> 00:42:42,960 I tried it, 787 00:42:42,960 --> 00:42:45,930 generating stuff in between to kind of in case it was referencing 788 00:42:45,930 --> 00:42:47,097 the image it just made. 789 00:42:47,097 --> 00:42:50,100 But it always made this kind of look. 790 00:42:50,901 --> 00:42:54,872 so does that image generator see white as default? 791 00:42:55,706 --> 00:42:59,610 I don't know, but this is this was seemed to me slightly problematic. 792 00:43:00,945 --> 00:43:02,012 and then while we're talking 793 00:43:02,012 --> 00:43:05,649 about biases, this has been something has come out in the last few days. 794 00:43:05,649 --> 00:43:06,584 So what does it mean 795 00:43:06,584 --> 00:43:10,754 for the roles of men and women that the largest AI in the world, it's released? 796 00:43:11,121 --> 00:43:14,124 it's, ChatGPT has released its, 797 00:43:14,892 --> 00:43:18,462 demonstrations of its current AI and this is one of the videos 798 00:43:18,462 --> 00:43:21,465 that, it launched it with. 799 00:43:22,600 --> 00:43:25,603 What do you think? 800 00:43:26,337 --> 00:43:27,705 Oh, that's a rocky. 801 00:43:27,705 --> 00:43:30,407 That's quite a statement piece. 802 00:43:30,407 --> 00:43:33,377 I mean, you you'll definitely step out. 803 00:43:33,377 --> 00:43:36,413 So maybe not in the way you're hoping for it. 804 00:43:36,780 --> 00:43:37,781 Okay, I got it. 805 00:43:37,781 --> 00:43:41,051 What if there's been quite a lot of criticism across the internet 806 00:43:41,051 --> 00:43:42,486 about that voice? 807 00:43:42,486 --> 00:43:45,356 It's incredibly flirty. 808 00:43:45,356 --> 00:43:46,590 they're all calling it the. 809 00:43:46,590 --> 00:43:49,126 Across the internet. It's been called the internet's girlfriend. 810 00:43:49,126 --> 00:43:52,863 So as this big, massive company has, is demonstrating 811 00:43:52,863 --> 00:43:56,300 that AI, they've used that voice on pretty much all of their demonstrations. 812 00:43:56,533 --> 00:43:59,536 So it's it's showing AI as a helpmeet. 813 00:43:59,703 --> 00:44:03,007 And so what does that say about women's perceived role in society, 814 00:44:03,240 --> 00:44:06,310 where that guy is pretty egregiously useless 815 00:44:06,543 --> 00:44:09,913 and he's got a flirty young lady, kind of correcting his behavior. 816 00:44:10,848 --> 00:44:13,150 So, can I create, 817 00:44:13,150 --> 00:44:17,021 music, create a genuine human, genuine esthetic response because we are seeing 818 00:44:17,287 --> 00:44:20,791 created music in a lot of, immersive experiences. 819 00:44:22,126 --> 00:44:25,029 it's, worth noting here that the first bit 820 00:44:25,029 --> 00:44:29,033 of, music generated from a machine was in 1960. 821 00:44:29,667 --> 00:44:33,170 and it was created on an IBM using 32kB of memory. 822 00:44:33,170 --> 00:44:35,773 So just imagine what we can do. Now. 823 00:44:35,773 --> 00:44:38,342 This is just a bit of that song 824 00:44:38,342 --> 00:44:40,744 number nine. Not easy. 825 00:44:40,744 --> 00:44:45,382 Alex the kid Ambassadors, King and Wiz Khalifa. 826 00:44:45,783 --> 00:44:49,586 Well, Not Easy was the first single released under superstar producer 827 00:44:49,586 --> 00:44:51,321 Alex The Kids though name. 828 00:44:51,321 --> 00:44:56,193 He had some quality collaborators by his side, such as X ambassadors, 829 00:44:56,193 --> 00:45:00,164 Elle King, Wiz Khalifa and IBM Watson. 830 00:45:00,197 --> 00:45:03,300 Not easy breaking your. 831 00:45:03,300 --> 00:45:08,305 The the superintelligent computer system, best known for its dominating performance 832 00:45:08,305 --> 00:45:09,139 on jeopardy! 833 00:45:09,139 --> 00:45:12,342 Proved its songwriting prowess with not easy. 834 00:45:14,111 --> 00:45:17,114 So there you can see them that went to the top of the charts, I believe. 835 00:45:17,314 --> 00:45:19,850 So I'm going to get on to 3D worlds and game engines. 836 00:45:19,850 --> 00:45:22,953 We talked a little bit about this earlier, but this is a massive change. 837 00:45:22,953 --> 00:45:24,722 The AI is changing a lot of things. 838 00:45:24,722 --> 00:45:29,226 So 3D worlds are used in gaming, virtual production and now cultural experiences. 839 00:45:30,094 --> 00:45:32,396 and I'm going to explain what this has got to do with AI. 840 00:45:32,396 --> 00:45:33,597 But if you don't know what a 3D world 841 00:45:33,597 --> 00:45:35,499 is, I'll just play you a little bit of a video game 842 00:45:35,499 --> 00:45:37,668 because it probably best describes it here. 843 00:45:40,237 --> 00:45:42,206 By two, 844 00:45:42,206 --> 00:45:45,209 the entire Outer Rim really is lawless. 845 00:45:51,882 --> 00:45:52,916 So obviously 846 00:45:52,916 --> 00:45:55,919 all of that is 3D generated world. 847 00:45:56,520 --> 00:45:57,855 I had a couple of other things here. 848 00:45:57,855 --> 00:46:00,157 I'm just going to skip them because it's used in 849 00:46:00,157 --> 00:46:03,160 lots of different ways, including selling houses, 850 00:46:03,460 --> 00:46:05,896 and VR experiences. 851 00:46:05,896 --> 00:46:08,365 and this is a little bit of, it 852 00:46:08,365 --> 00:46:11,368 in gunpowder. 853 00:46:11,935 --> 00:46:14,938 A bit dark, 854 00:46:15,139 --> 00:46:17,441 good. 855 00:46:17,441 --> 00:46:19,209 It's a dark knight. 856 00:46:19,209 --> 00:46:21,512 The current strong 857 00:46:21,512 --> 00:46:24,515 guard is on our side. 858 00:46:26,049 --> 00:46:27,718 Jesus. 859 00:46:27,718 --> 00:46:29,253 Smell that? 860 00:46:29,253 --> 00:46:32,322 The Thames is as full of shit as that stinking king of ours. 861 00:46:33,957 --> 00:46:34,892 Sorry about sorry. 862 00:46:34,892 --> 00:46:36,660 Steady, Percy. 863 00:46:36,660 --> 00:46:38,595 What's that? Cargo. 864 00:46:38,595 --> 00:46:39,930 We need to. 865 00:46:39,930 --> 00:46:43,500 Okay, so you can see that's a fully 3D world that we've created for it. 866 00:46:43,500 --> 00:46:46,036 And it is being used in all kinds of immersive experiences. 867 00:46:46,036 --> 00:46:48,672 This is, our tech house in Miami. 868 00:46:48,672 --> 00:46:50,340 This is Italia de Lumina. 869 00:46:57,648 --> 00:46:59,583 Is nice. 870 00:46:59,583 --> 00:47:02,586 Oh, okay. 871 00:47:02,586 --> 00:47:03,620 Okay. 872 00:47:03,620 --> 00:47:06,723 I was sold an hour, so it 873 00:47:08,192 --> 00:47:09,860 it is. 874 00:47:09,860 --> 00:47:11,395 Okay, fine. 875 00:47:11,395 --> 00:47:12,896 Whatever works for you. Yeah. Thank you. 876 00:47:12,896 --> 00:47:15,899 Should I just wait? 877 00:47:16,066 --> 00:47:18,435 And say goodbye to the world? 878 00:47:18,435 --> 00:47:19,336 Okay. 879 00:47:19,336 --> 00:47:22,339 Yeah. 880 00:47:22,906 --> 00:47:25,909 Sorry about that, guys. Is. 881 00:47:27,511 --> 00:47:29,246 On board. 882 00:47:29,246 --> 00:47:32,249 Is is that interruption? 883 00:47:33,250 --> 00:47:35,185 for you to, 884 00:47:35,185 --> 00:47:38,188 like, you know, on television and, 885 00:47:39,323 --> 00:47:42,326 kind of describe it. 886 00:47:43,093 --> 00:47:46,897 Demos of surrender, the una manera absolutamente intense. 887 00:47:47,598 --> 00:47:49,233 Pero a when I lost tiempo. 888 00:47:49,233 --> 00:47:53,971 Say that there isn't much claro si e tenemos una manera. 889 00:47:55,105 --> 00:47:57,741 para la compania. 890 00:47:57,741 --> 00:47:59,243 Gracias. 891 00:47:59,243 --> 00:48:01,478 Aqui. 892 00:48:01,478 --> 00:48:03,447 Vamos a seguir 893 00:48:03,447 --> 00:48:05,048 es un minuto. And. 894 00:48:05,048 --> 00:48:11,021 Okay, if this video was mission e seguimos contigo, you know that. 895 00:48:11,054 --> 00:48:14,057 I mean, like, in the cookie preguntas 896 00:48:14,458 --> 00:48:16,159 para la vida. 897 00:48:16,159 --> 00:48:17,127 Various. 898 00:48:17,127 --> 00:48:20,864 Yet tengo algunas is a performance you're going to see 899 00:48:22,065 --> 00:48:23,233 in those videos. 900 00:48:23,233 --> 00:48:26,236 The moon. Okay there that is what I use. 901 00:48:26,570 --> 00:48:29,573 which is gracias e a 902 00:48:29,640 --> 00:48:31,341 total esta festival cake. 903 00:48:31,341 --> 00:48:34,544 Ludo something. Yes. E okay. Yes. 904 00:48:34,811 --> 00:48:37,814 Para GMT, which is guys. 905 00:48:39,182 --> 00:48:40,817 Okay. 906 00:48:40,817 --> 00:48:42,252 sorry about that. 907 00:48:42,252 --> 00:48:43,320 I'm not sure how to listen. 908 00:48:43,320 --> 00:48:46,089 I'm sorry if I feel like I'm going on bit, I will speed up. 909 00:48:46,089 --> 00:48:47,357 It's easy in a lot of places. 910 00:48:47,357 --> 00:48:49,493 Since you have skipped. 911 00:48:49,493 --> 00:48:51,561 so what has I got to do this? 912 00:48:51,561 --> 00:48:55,933 Well, wishing that, I can fill in the blanks of this digital world. 913 00:48:56,433 --> 00:49:00,070 So where you've got a 3D world that's made, I can now 914 00:49:00,103 --> 00:49:04,541 make it entirely on its own and can make these world itself from. 915 00:49:05,242 --> 00:49:08,445 So, this means these world can essentially go on 916 00:49:08,445 --> 00:49:11,882 forever and ever and ever, and they can change in real time. 917 00:49:13,383 --> 00:49:16,119 this is just, a little video, 918 00:49:16,119 --> 00:49:19,890 of just a very free and easy world that you can see. 919 00:49:20,223 --> 00:49:23,327 There's a prompt there that I put in around Steampunk City, 920 00:49:23,827 --> 00:49:26,964 and you can see that the AI has just created an entire world. 921 00:49:27,631 --> 00:49:31,168 And if I wanted to go down those streets, which, I did because I was using the free 922 00:49:31,168 --> 00:49:35,472 version, you could and this could go on literally forever and ever and ever. 923 00:49:36,974 --> 00:49:39,409 so what if this can be done instantaneously? 924 00:49:39,409 --> 00:49:40,510 for individuals? 925 00:49:40,510 --> 00:49:46,249 What if I can, create a 3D world for you personally when you're in an experience 926 00:49:46,249 --> 00:49:48,618 because it's something you want to experience. 927 00:49:48,618 --> 00:49:51,455 This gives a huge artistic, infinite, 928 00:49:51,455 --> 00:49:54,791 explorable digital world dynamism in the creation of these worlds. 929 00:49:54,791 --> 00:49:55,993 And remember, we adapt. 930 00:49:55,993 --> 00:49:59,429 We change more than we hear something that's the same. 931 00:49:59,496 --> 00:50:02,165 And it would allow us for full personalization. 932 00:50:02,165 --> 00:50:06,403 Everything from adding your name in it to having it completely change 933 00:50:06,470 --> 00:50:11,041 depending on your mood for what you, how you're behaving in this space. 934 00:50:12,175 --> 00:50:12,843 but there are some 935 00:50:12,843 --> 00:50:15,846 problems around this where these with AI, 936 00:50:15,979 --> 00:50:20,617 the level of, power needed to do this for processing power. 937 00:50:20,617 --> 00:50:21,752 You say massive. 938 00:50:21,752 --> 00:50:23,854 It, it's pretty ecological. 939 00:50:23,854 --> 00:50:25,822 Unsustainable at the moment. 940 00:50:25,822 --> 00:50:28,425 and so that's like a problem with people. 941 00:50:28,425 --> 00:50:30,861 one of the reason it's not happening as much as you would like. 942 00:50:30,861 --> 00:50:32,729 And also prompt. 943 00:50:32,729 --> 00:50:36,633 So I'm just going to talk about character creation, voice and face cloning. 944 00:50:37,567 --> 00:50:41,605 and at the minute we do this by just using facial capture and body capture. 945 00:50:42,472 --> 00:50:45,542 we do volumetric, which I'll show you what that is on green screen 946 00:50:45,542 --> 00:50:47,411 and put it into our experiences. 947 00:50:47,411 --> 00:50:50,747 And here's Tom Felton, in one of our shoots, 948 00:50:51,481 --> 00:50:55,585 and we put him into our digital space by putting on one of this, 949 00:50:55,585 --> 00:50:59,623 which is a volumetric capture stage with cameras on each one of those arms. 950 00:50:59,823 --> 00:51:03,060 They create a fully 3D model of him, and he's inserted 951 00:51:03,060 --> 00:51:06,063 into the digital world so we can capture his performance. 952 00:51:06,530 --> 00:51:10,834 and this is, him, coming onto the set. 953 00:51:12,502 --> 00:51:13,170 who doesn't play? 954 00:51:13,170 --> 00:51:16,173 I will skip it. Like, it doesn't matter. 955 00:51:16,773 --> 00:51:18,708 Go on to this. 956 00:51:18,708 --> 00:51:20,977 this is a little bit of him performing. 957 00:51:20,977 --> 00:51:22,879 Going that. 958 00:51:22,879 --> 00:51:25,015 And so everything will be captured 959 00:51:25,015 --> 00:51:28,018 from the movement of his, costume. 960 00:51:28,218 --> 00:51:32,255 Everything that's him will be put into the 3D world. 961 00:51:33,323 --> 00:51:37,127 But what you can see by this is why not put me and Tom together? 962 00:51:38,128 --> 00:51:40,664 what you can see by this, and this is a smaller way 963 00:51:40,664 --> 00:51:44,501 to do it as well, with a, when you're doing, NPC characters. 964 00:51:44,835 --> 00:51:46,736 And this is me, my mum. 965 00:51:46,736 --> 00:51:49,773 but what you can see from this is the production timeline is heavy. 966 00:51:49,840 --> 00:51:52,576 It's very difficult. It takes ages, is expensive. 967 00:51:52,576 --> 00:51:55,378 And, when you want to put a face in as well, 968 00:51:55,378 --> 00:51:56,746 this is how you normally do it. 969 00:51:56,746 --> 00:51:59,149 You take lots of faces, pictures of someone's face, 970 00:51:59,149 --> 00:52:01,051 and lots of different angles. 971 00:52:01,051 --> 00:52:03,053 you make a C, a model, 972 00:52:03,053 --> 00:52:06,690 and then you put a headset on somebody, them or someone else. 973 00:52:06,823 --> 00:52:10,494 You capture the movement of their face and then you animate their face like this. 974 00:52:11,695 --> 00:52:14,431 Hi, I'm Zoe, and I'd like to take you on a journey 975 00:52:14,431 --> 00:52:18,602 as we create the next generation of realistic digital humans. 976 00:52:19,202 --> 00:52:22,205 Every last detail of Zoe, me. 977 00:52:22,606 --> 00:52:23,073 Great. 978 00:52:23,073 --> 00:52:24,774 So you get the idea. 979 00:52:24,774 --> 00:52:27,310 but, now we have this. 980 00:52:27,310 --> 00:52:29,312 So this is, Hang on. 981 00:52:29,312 --> 00:52:31,882 I'll just let you watch it. 982 00:52:31,882 --> 00:52:34,017 But you know what I decided to do? 983 00:52:34,017 --> 00:52:37,020 I decided to focus 984 00:52:37,020 --> 00:52:41,391 all my attention, all my time on listening. 985 00:52:41,391 --> 00:52:44,761 So instead of doing something else, I just listened. 986 00:52:44,861 --> 00:52:46,963 Listened and listened. 987 00:52:46,963 --> 00:52:50,467 Because I'm a true believer that if you're really bad at something 988 00:52:50,467 --> 00:52:54,137 like listening, for example, it only shows you that, hey, 989 00:52:54,271 --> 00:52:57,240 you have to practice listening as much as you can't. 990 00:52:58,275 --> 00:53:00,377 So that came introduce Fasa. 991 00:53:00,377 --> 00:53:04,181 A framework for generating lifelike talking faces with appealing, 992 00:53:04,181 --> 00:53:05,849 visual, effective skills. 993 00:53:05,849 --> 00:53:07,584 Given a single static image. 994 00:53:07,584 --> 00:53:10,287 Well and a speaker to get off that. But that's essentially what it is. 995 00:53:10,287 --> 00:53:14,024 It's taken one image, one photo, and it's animated. 996 00:53:14,024 --> 00:53:14,991 That face that's going. 997 00:53:14,991 --> 00:53:17,527 To come on, you know what I decided to do? 998 00:53:17,527 --> 00:53:18,862 oh my goodness. 999 00:53:18,862 --> 00:53:21,298 Right. Go back. Right. 1000 00:53:23,033 --> 00:53:23,266 yeah. 1001 00:53:23,266 --> 00:53:26,269 So what is a silly thing? There we go. 1002 00:53:26,536 --> 00:53:30,240 So what it's done is taken one photo, and that one photo has, 1003 00:53:30,540 --> 00:53:33,743 being able to animate it has condensed months of, 1004 00:53:33,910 --> 00:53:35,912 production process into a very quick process. 1005 00:53:35,912 --> 00:53:36,613 Not perfect yet. 1006 00:53:36,613 --> 00:53:40,650 Still a bit uncanny valley there, but it's changing the entire way. 1007 00:53:40,650 --> 00:53:41,818 We're going to be able to do that. 1008 00:53:41,818 --> 00:53:46,323 So in terms of creating, characters that talk to you in a digital world, 1009 00:53:46,523 --> 00:53:49,626 that's completely being overthrown by AI. 1010 00:53:50,393 --> 00:53:52,229 and how is this being used? 1011 00:53:52,229 --> 00:53:57,400 So there's a new, show coming out in London, about Elvis and it's farming, 1012 00:53:57,400 --> 00:54:03,540 all of the data of Elvis that's available and creating an AI version of Elvis. 1013 00:54:03,740 --> 00:54:05,842 And he's going to be able to interact. 1014 00:54:05,842 --> 00:54:07,244 And that's nuts. 1015 00:54:07,244 --> 00:54:10,447 We've also got ABBA, we've got Roy Orbison is doing this. 1016 00:54:10,647 --> 00:54:13,650 And we have now also de-aging technology. 1017 00:54:14,251 --> 00:54:16,019 and I'll just play you a little bit of this. 1018 00:54:16,953 --> 00:54:19,122 This is more than just a Snapchat filter. 1019 00:54:19,122 --> 00:54:20,757 It's called deepfake technology. 1020 00:54:20,757 --> 00:54:23,193 And it's how Harrison Ford was made to look 40 years younger. 1021 00:54:23,193 --> 00:54:24,961 And the new film Indiana Jones five, 1022 00:54:24,961 --> 00:54:28,231 and how the film's budget hit almost $300 million. 1023 00:54:28,231 --> 00:54:30,066 Let's take a look at how this process works 1024 00:54:30,066 --> 00:54:32,102 and why they decided to do this for Indy five, 1025 00:54:32,102 --> 00:54:34,971 starting with the fact that Harrison Ford is now 80 years old, 1026 00:54:34,971 --> 00:54:36,906 which some people argue is too old to continue 1027 00:54:36,906 --> 00:54:39,042 playing a leading role in an action adventure movie. 1028 00:54:39,042 --> 00:54:42,279 But first, you might be wondering what is deepfake technology? 1029 00:54:42,279 --> 00:54:45,515 And the basic answer is that it's a way of using artificial intelligence 1030 00:54:45,515 --> 00:54:47,651 to manipulate images and videos of people, 1031 00:54:47,651 --> 00:54:49,686 making them look or sound like someone else. 1032 00:54:49,686 --> 00:54:53,590 The term deepfake comes from combining deep learning and fake, as deep 1033 00:54:53,590 --> 00:54:55,992 learning is a type of machine learning that uses neural networks 1034 00:54:55,992 --> 00:54:58,261 to learn from data and generate realistic outputs. 1035 00:54:58,261 --> 00:55:01,731 Deepfake technology can be used for various purposes such as entertainment, 1036 00:55:01,731 --> 00:55:04,768 education, journalism, or even malicious intent. 1037 00:55:05,702 --> 00:55:08,371 Okay, so you can see there's a lot of problems with that. 1038 00:55:08,371 --> 00:55:12,175 He's saying they're about, malicious, intent. 1039 00:55:12,509 --> 00:55:15,278 So one of the issues we have is consent and privacy, like, 1040 00:55:15,278 --> 00:55:18,014 whose face is being used by who to do what. 1041 00:55:18,014 --> 00:55:21,985 And if you don't have any control over it, what is that doing to the world? 1042 00:55:21,985 --> 00:55:24,387 And if we don't know if someone's real or not, 1043 00:55:24,387 --> 00:55:27,290 what is that doing to our understanding of the planet as a whole? 1044 00:55:27,290 --> 00:55:31,294 So, using, someone's face of AI, cloning someone's face 1045 00:55:31,294 --> 00:55:32,762 and doing a deepfake of them 1046 00:55:32,762 --> 00:55:36,199 has been seen in various ways to be changing political stance 1047 00:55:36,266 --> 00:55:37,133 across the world. 1048 00:55:37,133 --> 00:55:40,904 being put out all over Facebook, for example, intellectual property rights. 1049 00:55:40,904 --> 00:55:44,341 So there's a lot of problem around who owns the right to that work 1050 00:55:44,341 --> 00:55:47,243 if I'm in it. But I didn't make it loss of jobs. 1051 00:55:47,243 --> 00:55:49,446 So obviously, for me, 1052 00:55:49,446 --> 00:55:52,282 if they don't need me to direct facial capture or performance 1053 00:55:52,282 --> 00:55:54,951 capture anymore because I can do it very quickly with an AI, 1054 00:55:54,951 --> 00:55:56,920 what does that mean for my job, for example? 1055 00:55:56,920 --> 00:55:58,688 So cultural misappropriation. 1056 00:55:58,688 --> 00:56:01,257 So sometimes using AI to, 1057 00:56:03,960 --> 00:56:05,528 to clone the faces 1058 00:56:05,528 --> 00:56:09,265 of people from different, ethical backgrounds, what does that mean? 1059 00:56:09,399 --> 00:56:12,602 And then this rather brilliant term, digital necromancy, 1060 00:56:12,669 --> 00:56:16,673 where you are animating somebody's likeness after they have died. 1061 00:56:17,440 --> 00:56:20,410 So, this is Morgan Freeman. 1062 00:56:20,410 --> 00:56:21,511 It's just really extraordinary. 1063 00:56:21,511 --> 00:56:22,812 So I'm just going to play a tiny touch, 1064 00:56:22,812 --> 00:56:24,514 and then I will speed up because I'm understanding. 1065 00:56:24,514 --> 00:56:26,583 Maybe I'm not a freeman. 1066 00:56:26,583 --> 00:56:29,219 And what you see is not real. 1067 00:56:29,219 --> 00:56:32,922 Well, at least in contemporary terms, it is not. 1068 00:56:33,823 --> 00:56:36,893 What if I were to tell you that I'm not even a human being? 1069 00:56:38,595 --> 00:56:39,763 So there he is. 1070 00:56:39,763 --> 00:56:42,432 So, one of the things that this is now bringing 1071 00:56:42,432 --> 00:56:44,401 forth is fully autonomous characters. 1072 00:56:44,401 --> 00:56:47,871 So characters that can behave, interact, do anything they want, all on their own. 1073 00:56:48,405 --> 00:56:51,141 And, we are seeing this, this has been in games for a bit. 1074 00:56:51,141 --> 00:56:54,377 If you play games, you'll know some of the NPCs kind of react on their own. 1075 00:56:54,377 --> 00:56:57,480 Anyway, that's a slightly different type of AI because we're now 1076 00:56:57,480 --> 00:57:00,750 getting these fully interactive digital characters. 1077 00:57:01,317 --> 00:57:04,487 and Disney Imagineering is leading the charge on making them also 1078 00:57:04,521 --> 00:57:08,858 physical and AI is allowing full personalization of these characters. 1079 00:57:09,058 --> 00:57:11,861 And we even have AI now that can read your facial expressions 1080 00:57:11,861 --> 00:57:12,762 so they can react 1081 00:57:12,762 --> 00:57:16,433 emotionally to the input, the output that you're giving literally from your face. 1082 00:57:17,066 --> 00:57:19,469 So here we have, 1083 00:57:19,469 --> 00:57:22,472 this is one this guy made in his house. 1084 00:57:22,605 --> 00:57:24,374 this is, very low fi. 1085 00:57:24,374 --> 00:57:25,442 And you can see that 1086 00:57:25,442 --> 00:57:27,677 if somebody could do this in their house is pretty extraordinary. 1087 00:57:31,681 --> 00:57:33,583 Okay, we're recording. 1088 00:57:33,583 --> 00:57:38,388 Brother Gepetto, can you tell our viewers on TikTok what all this is about? 1089 00:57:39,022 --> 00:57:40,490 Of course, my child. 1090 00:57:40,490 --> 00:57:43,827 I am an artificial intelligence manifesting as an old Christian monk. 1091 00:57:44,160 --> 00:57:47,831 And I'm here talking to this wonderful person by this beautiful pond at sunset. 1092 00:57:48,565 --> 00:57:52,368 We are using new technologies to enable our conversation, allowing me 1093 00:57:52,368 --> 00:57:56,172 to understand what the player is saying and to give a voice to my thoughts. 1094 00:57:58,308 --> 00:58:00,343 Okay, so I'm just going to skip him. 1095 00:58:00,343 --> 00:58:03,346 There's another one of him where he gives us a lovely little, 1096 00:58:03,746 --> 00:58:06,883 look into his, personal like thoughts on the world. 1097 00:58:06,950 --> 00:58:09,953 I'm just going to show you this one from Disney Imagineering. 1098 00:58:35,945 --> 00:58:39,082 So if that ran at me in a park, I would run the other way. 1099 00:58:39,816 --> 00:58:43,686 So, now we have, from the Dali Museum in Saint Petersburg. 1100 00:58:43,686 --> 00:58:46,322 In Florida, they have a Dali that you can speak to. 1101 00:58:48,291 --> 00:58:49,926 For years, 1102 00:58:49,926 --> 00:58:55,598 people have attempted to understand my work, trying to find meaning 1103 00:58:55,598 --> 00:59:00,803 in this real, to make sense of the dreams of a historic genius. 1104 00:59:01,337 --> 00:59:03,940 But how can anyone possibly know 1105 00:59:03,940 --> 00:59:07,410 what is inside the burning mind of Salvador Dali? 1106 00:59:08,044 --> 00:59:10,613 No. They simply cannot. 1107 00:59:10,613 --> 00:59:13,283 They are mere mortal human beings. 1108 00:59:13,283 --> 00:59:16,286 But now I can tell you. 1109 00:59:16,452 --> 00:59:20,256 Introducing Ask Dali an audio experience powered 1110 00:59:20,256 --> 00:59:24,260 by AI and machine learning that allows you to talk to me. 1111 00:59:25,061 --> 00:59:27,931 Hey, so that's pretty extraordinary. 1112 00:59:27,931 --> 00:59:30,099 So just on to personalization. 1113 00:59:30,099 --> 00:59:32,635 So we have, had this whole movement towards 1114 00:59:32,635 --> 00:59:35,638 personalization across everywhere for a long time. 1115 00:59:35,638 --> 00:59:36,806 You do it on your phone. 1116 00:59:36,806 --> 00:59:39,842 Everything's personalized to you, in your games. 1117 00:59:40,643 --> 00:59:45,281 and I, really does allow personalization on, on a, on a whole new scale. 1118 00:59:46,049 --> 00:59:48,151 and we have personalization even in the live arena. 1119 00:59:48,151 --> 00:59:51,220 So you will be used to things like seeing this, the Disney Magic 1120 00:59:51,220 --> 00:59:54,290 Band, where you can create your own experiences around the park. 1121 00:59:55,291 --> 00:59:55,725 its facial 1122 00:59:55,725 --> 00:59:59,429 recognition is being used now so that we can have personalization 1123 00:59:59,562 --> 01:00:02,565 being created from, you just walking into a space 1124 01:00:02,565 --> 01:00:07,503 and it can data from your history and create, the experience just for you. 1125 01:00:07,837 --> 01:00:11,341 We have digital postcards and things like this, which is the Art lens app, 1126 01:00:11,774 --> 01:00:14,777 at the Cleveland Museum of Art, which allows you to collect, 1127 01:00:15,278 --> 01:00:18,815 all the imagery you want and create your own kind of museum experience. 1128 01:00:19,148 --> 01:00:22,051 We have wristbands like this Taylor Swift concert, 1129 01:00:22,051 --> 01:00:25,688 which, is allowing personalization physically on your own body. 1130 01:00:26,022 --> 01:00:29,192 We have this is in the British Museum, where you can look at, 1131 01:00:29,692 --> 01:00:32,996 item and spin it around and zoom in on it and do what you want. 1132 01:00:33,930 --> 01:00:37,634 and this is, at Teamlab in Tokyo, and it's where kids can draw a picture 1133 01:00:37,634 --> 01:00:42,038 of an animal, and then it's uploaded, and then their anatomically incorrect 1134 01:00:42,038 --> 01:00:45,708 animal can play around with the other kids animals in the space. 1135 01:00:46,476 --> 01:00:51,314 and here we have a whole museum, which is, by Paul O'Donnell, an extraordinary us. 1136 01:00:51,481 --> 01:00:52,115 And essentially, 1137 01:00:52,115 --> 01:00:56,819 this data farms your data backwards and creates an exhibition just about you. 1138 01:00:57,387 --> 01:01:00,423 So when we then looking at data, 1139 01:01:00,657 --> 01:01:03,326 personalization and AI, what can we do with it? 1140 01:01:03,326 --> 01:01:05,328 These are a few of the things we can do with it. 1141 01:01:05,328 --> 01:01:06,396 Facial recognition 1142 01:01:06,396 --> 01:01:10,333 and biometric readings, as we've already seen, can can change the experience. 1143 01:01:10,333 --> 01:01:13,436 As you were walking through an experience or museum, 1144 01:01:13,603 --> 01:01:16,472 we can have the AR overlays that are made just for you. 1145 01:01:16,472 --> 01:01:18,541 Maybe you showed an interest in this thing. 1146 01:01:18,541 --> 01:01:20,209 This one will appear for you. 1147 01:01:20,209 --> 01:01:22,145 You could see yourself in the past. 1148 01:01:22,145 --> 01:01:24,447 We could take an image of any one of you. 1149 01:01:24,447 --> 01:01:27,583 It could go in the eye, can create a 3D model of you. 1150 01:01:27,583 --> 01:01:29,419 It could see you when you were a child. 1151 01:01:29,419 --> 01:01:32,522 You could see you in 40 years, and you could even talk to yourself. 1152 01:01:32,855 --> 01:01:34,323 You could talk to your own voice. 1153 01:01:34,323 --> 01:01:37,326 Your own voice could lead you through a museum experience. 1154 01:01:38,094 --> 01:01:40,797 you could find out what might happen to you in the future. 1155 01:01:40,797 --> 01:01:44,667 We could see, an image of you or a whole display of you. 1156 01:01:44,667 --> 01:01:46,469 Or you could even meet you. 1157 01:01:46,469 --> 01:01:49,439 in the future, you could see yourself talking to Morgan Freeman. 1158 01:01:49,439 --> 01:01:50,940 You could be any character you want. 1159 01:01:50,940 --> 01:01:53,943 Essentially, you can change the story for you only, 1160 01:01:54,143 --> 01:01:57,346 and you can interact with any character on the planet. 1161 01:01:57,647 --> 01:02:01,784 And we can create 3D world, change just for you and your group. 1162 01:02:01,951 --> 01:02:05,388 So say that, you're going through and, 1163 01:02:05,788 --> 01:02:07,690 that you're an older group and there's a younger group. 1164 01:02:07,690 --> 01:02:10,693 We can change the experience directly for you. 1165 01:02:11,294 --> 01:02:13,763 if we wanted to, when we get rid of some of these 1166 01:02:13,763 --> 01:02:17,133 ethical considerations about power, etc., that's what's happening. 1167 01:02:17,567 --> 01:02:20,970 So just to talk about I think, and accessibility and 1168 01:02:20,970 --> 01:02:23,439 this is a bit of a hobby horse of mine, I think it's really important. 1169 01:02:23,439 --> 01:02:27,076 It makes a lot of difference to a lot of people because AI is making 1170 01:02:27,076 --> 01:02:31,681 automatic audio guides, text to speech, closed captioning and translation, 1171 01:02:31,848 --> 01:02:35,518 voice and gesture controls, personalized accessibility assistance, 1172 01:02:35,752 --> 01:02:40,289 and even predicting accessibility models so that we can change experiences 1173 01:02:40,289 --> 01:02:41,657 before we even make them. 1174 01:02:41,657 --> 01:02:44,894 Because we've got better understanding of how audience groups work. 1175 01:02:45,661 --> 01:02:48,731 and I know I'm close on time, but this is a really extraordinary, 1176 01:02:49,098 --> 01:02:50,867 thing that just showed last. 1177 01:02:50,867 --> 01:02:52,602 Week at the moment. 1178 01:02:52,602 --> 01:02:55,838 Yes, it looks like the King is in residence right now. 1179 01:02:56,439 --> 01:02:59,675 The Royal Standard flag is flying above Buckingham Palace, 1180 01:02:59,675 --> 01:03:02,678 which is the signal that the monarch is present. 1181 01:03:02,945 --> 01:03:05,948 How exciting to be there while the king is home. 1182 01:03:05,982 --> 01:03:08,518 Try and tell me exactly what they're doing right now, please. 1183 01:03:09,519 --> 01:03:10,186 Right now the 1184 01:03:10,186 --> 01:03:13,189 ducks are gently gliding across the water. 1185 01:03:13,222 --> 01:03:16,692 They're moving in a fairly relaxed manner, not in a hurry. 1186 01:03:17,260 --> 01:03:20,396 Occasionally one of them will take a cut under the water, 1187 01:03:20,930 --> 01:03:21,931 probably looking for food. 1188 01:03:21,931 --> 01:03:26,068 And later in that video, he even uses that app to hail a cab in real time. 1189 01:03:26,569 --> 01:03:28,638 So lastly, this is a last section. 1190 01:03:28,638 --> 01:03:29,806 Everything everywhere. 1191 01:03:29,806 --> 01:03:30,807 All at once. 1192 01:03:30,807 --> 01:03:33,609 What can we do with all this promise? 1193 01:03:33,609 --> 01:03:37,713 just a few of mine when I was thinking about this is just some suggestions. 1194 01:03:38,514 --> 01:03:41,551 so I started thinking about the National Museum of Anthropology. 1195 01:03:41,784 --> 01:03:46,022 I started thinking about what an AI powered digital experience might be. 1196 01:03:46,155 --> 01:03:48,991 So before your visit, you could download a mobile app. 1197 01:03:48,991 --> 01:03:50,860 You can register when you get there. 1198 01:03:50,860 --> 01:03:55,665 You can have an AI tool guide, personalized recommendations, interactive 1199 01:03:55,665 --> 01:04:00,069 maps, augmented reality artifacts that are personalized to you. 1200 01:04:00,803 --> 01:04:03,906 Audio guide is massively is completely integrated. 1201 01:04:04,040 --> 01:04:07,043 You can have interactive digital, quizzes and challenges, 1202 01:04:07,043 --> 01:04:09,745 and we can change these for children and adults. 1203 01:04:09,745 --> 01:04:13,182 We can have real time translation and everything all built in. 1204 01:04:13,182 --> 01:04:15,284 And then when you leave, this can all be packaged up 1205 01:04:15,284 --> 01:04:17,987 and everything you've done in the museum can be sent to you afterwards. 1206 01:04:17,987 --> 01:04:19,455 We can have a responsive, 1207 01:04:19,455 --> 01:04:22,859 responsive digital journey entirely dependent on your choices. 1208 01:04:23,092 --> 01:04:25,728 We could meet an ancestor in a hologram form. 1209 01:04:25,728 --> 01:04:28,431 You could fly through Mexico City pretty much. 1210 01:04:28,431 --> 01:04:29,599 However you want. 1211 01:04:29,599 --> 01:04:32,602 That's definitely enough data on the internet to do that right now. 1212 01:04:32,969 --> 01:04:34,704 you can have a room where you can go 1213 01:04:34,704 --> 01:04:37,707 to different parts of Mexico and meet the inhabitants. 1214 01:04:37,740 --> 01:04:40,743 and if you want to make this around storytelling, 1215 01:04:40,743 --> 01:04:44,180 you can have facial scanning for, I was thinking about the film Coco. 1216 01:04:44,780 --> 01:04:47,783 and you could have as you go in, we take your face. 1217 01:04:48,284 --> 01:04:49,952 and then we personalize everything for you, 1218 01:04:49,952 --> 01:04:52,255 go through all the characters, can say hi to you. 1219 01:04:52,255 --> 01:04:55,358 We could create live 3D worlds of land of the forgotten, 1220 01:04:55,358 --> 01:04:58,461 and we could base them on your personal and emotional experience 1221 01:04:58,861 --> 01:05:01,831 so they could be emotionally driven to you. 1222 01:05:01,931 --> 01:05:05,434 we could have your face in the photograph so you can be one of his ancestors. 1223 01:05:05,434 --> 01:05:07,870 We can create all the locations in AI 1224 01:05:07,870 --> 01:05:10,539 and we can have AI powered emotional resonance. 1225 01:05:10,539 --> 01:05:13,542 So how you want to put it all together. 1226 01:05:13,743 --> 01:05:16,379 So in conclusion, what is creativity? 1227 01:05:16,379 --> 01:05:18,614 Is AI a tool, a creator in itself? 1228 01:05:18,614 --> 01:05:21,083 Are we collaborating or are we being replaced? 1229 01:05:21,083 --> 01:05:23,853 Is there value in AI esthetics and styles? 1230 01:05:23,853 --> 01:05:26,289 Is human endeavor inherently valuable? 1231 01:05:26,289 --> 01:05:29,125 And what is artificial and what is art? 1232 01:05:29,125 --> 01:05:31,360 Creativity is forever changed. 1233 01:05:31,360 --> 01:05:33,362 Is it for better? Is it for worse? 1234 01:05:33,362 --> 01:05:35,197 Is this a cultural revolution? 1235 01:05:35,197 --> 01:05:38,067 I would say yes, but the rest is over to you. 1236 01:05:38,067 --> 01:05:38,668 Thank you. 1237 01:05:51,914 --> 01:05:52,381 Gracias. 1238 01:05:52,381 --> 01:05:55,151 Good night. 1239 01:05:55,151 --> 01:05:57,153 gelatin is pretty something. 1240 01:05:57,153 --> 01:06:00,156 The animals. but. 1241 01:06:00,423 --> 01:06:02,758 But Kenya para para respuestas. 1242 01:06:02,758 --> 01:06:05,761 And then it was one that's super. 1243 01:06:06,262 --> 01:06:11,734 I, are you ready with the, 1244 01:06:12,268 --> 01:06:15,271 Yeah, I. 1245 01:06:15,304 --> 01:06:17,940 Okay. 1246 01:06:17,940 --> 01:06:20,943 I yes. 1247 01:06:22,712 --> 01:06:24,947 Thank you so much. 1248 01:06:24,947 --> 01:06:25,448 Hannah. 1249 01:06:25,448 --> 01:06:27,750 Hi. Hi. 1250 01:06:27,750 --> 01:06:30,286 I'm a mathematician and philosopher of science, 1251 01:06:30,286 --> 01:06:33,289 and I'm also interested in literature. 1252 01:06:33,389 --> 01:06:38,227 So I was wondering if you have any examples of creative writing, 1253 01:06:38,227 --> 01:06:43,399 for instance, a novel that has been written using AI that has, 1254 01:06:43,399 --> 01:06:46,669 you know, become a published book and maybe a best seller? 1255 01:06:47,403 --> 01:06:50,172 I don't know if we are going yet in that path, 1256 01:06:50,172 --> 01:06:54,176 but for instance, this, work, you you showed that work. 1257 01:06:54,443 --> 01:06:56,946 That won. This, world. 1258 01:06:56,946 --> 01:06:58,581 photography award. 1259 01:06:58,581 --> 01:07:01,584 Well, it kind of goes away. Yeah. Thank you. 1260 01:07:01,717 --> 01:07:06,722 so I don't know of any novels, but, there is a bit of a problem on, Amazon 1261 01:07:06,722 --> 01:07:09,425 and other places like that was self-published because of things like, 1262 01:07:09,425 --> 01:07:10,693 recipe books, for example. 1263 01:07:11,660 --> 01:07:12,862 and there's a lot of, 1264 01:07:12,862 --> 01:07:16,766 things that are more factually based like that, that are, coming out. 1265 01:07:17,500 --> 01:07:19,468 there was a talk, I can't remember who it's called. 1266 01:07:19,468 --> 01:07:22,872 I'd have to I'd have to send it to you about a children's book. 1267 01:07:23,672 --> 01:07:27,610 and, also, there's graphic novels that people are creating with it 1268 01:07:27,610 --> 01:07:32,948 because they can use, obviously the image generator with, with the text. 1269 01:07:33,149 --> 01:07:36,185 So we're seeing that I don't think we've got a full novel yet, 1270 01:07:36,185 --> 01:07:39,188 but I wouldn't be surprised. 1271 01:07:40,623 --> 01:07:43,626 all gracias por por 1272 01:07:44,393 --> 01:07:47,396 el festival. 1273 01:07:48,164 --> 01:07:48,898 infanticide. 1274 01:07:48,898 --> 01:07:52,635 UN poco sobre la cuestion de la, Attica. 1275 01:07:54,003 --> 01:07:55,271 Aqui mismo in Instagram. 1276 01:07:55,271 --> 01:07:58,274 Festival intervention and Requiem. 1277 01:07:58,307 --> 01:08:01,844 The Mozart European artificial 1278 01:08:02,078 --> 01:08:06,415 Como herramienta es maravilloso la misma abierta. 1279 01:08:06,749 --> 01:08:10,619 Pero si e no no dividend. 1280 01:08:10,619 --> 01:08:14,156 You got a tanto in the sentido de affected a la O'Brien. See 1281 01:08:15,324 --> 01:08:18,327 a la sensibility de 1282 01:08:18,828 --> 01:08:23,099 camp and es sentido en un lado un poquito. 1283 01:08:23,699 --> 01:08:26,702 I do, I do seria to to 1284 01:08:27,703 --> 01:08:30,706 Los a Los procesos methodology course 1285 01:08:31,207 --> 01:08:35,277 a narratives a is densest 1286 01:08:35,811 --> 01:08:38,280 multidisciplinary interdisciplinary goes 1287 01:08:38,280 --> 01:08:41,283 definitivamente token 1288 01:08:41,784 --> 01:08:45,187 la sensibility that a e alto 1289 01:08:45,488 --> 01:08:48,491 humano cuesta. 1290 01:08:50,025 --> 01:08:53,028 Ahora another sentido através de trabajo 1291 01:08:53,863 --> 01:08:56,632 incluido immersive 1292 01:08:56,632 --> 01:08:59,635 El inteligencia artificial 1293 01:08:59,802 --> 01:09:02,805 estas okay tensor o Como esta 1294 01:09:04,440 --> 01:09:08,511 interest casa de lo natural del organic co 1295 01:09:09,612 --> 01:09:12,781 la inteligencia artificial in Los chicos. 1296 01:09:17,586 --> 01:09:19,121 so currently 1297 01:09:19,121 --> 01:09:22,124 I don't use it to make narrative. 1298 01:09:22,191 --> 01:09:25,060 and I don't think it's shown yet 1299 01:09:25,060 --> 01:09:28,531 that it can do that in the way that we can do that. 1300 01:09:30,032 --> 01:09:32,701 I definitely believe that we have to embrace 1301 01:09:32,701 --> 01:09:36,972 AI because it's here and, it's not going to go away. 1302 01:09:37,206 --> 01:09:40,209 But I think the question you're raising about ethics is, 1303 01:09:40,843 --> 01:09:43,612 really big because we don't have 1304 01:09:43,612 --> 01:09:46,749 structures or laws or really, 1305 01:09:47,716 --> 01:09:48,651 any kind of rules 1306 01:09:48,651 --> 01:09:51,654 in place across, AI in general. 1307 01:09:51,720 --> 01:09:55,024 And I think the technology is outstripping 1308 01:09:55,024 --> 01:09:58,227 our ability to, legislate it. 1309 01:09:58,527 --> 01:10:01,363 And I think that's, I think that's a really big issue 1310 01:10:01,363 --> 01:10:04,366 in terms of making stories. 1311 01:10:04,500 --> 01:10:08,637 I use it as I've shown for sort of elements of it, 1312 01:10:08,804 --> 01:10:12,641 and I think we're going to be able to see it creating, like I'm saying, 1313 01:10:12,641 --> 01:10:15,844 these amazing 3D worlds and all the things I find very exciting, 1314 01:10:16,111 --> 01:10:20,983 but I still think that we're going to have to set the story and understand 1315 01:10:21,250 --> 01:10:24,253 what that story is before we use any of it. 1316 01:10:25,254 --> 01:10:28,691 so, yeah, I mean, I think I'm still hoping 1317 01:10:29,024 --> 01:10:32,027 that my jobs are intact. 1318 01:10:34,930 --> 01:10:38,400 Hi. I have a video game two related question. 1319 01:10:39,134 --> 01:10:43,439 do you think that NPCs AI at some point, 1320 01:10:44,206 --> 01:10:48,410 get more consciousness in their actions, even though they're not double 1321 01:10:48,410 --> 01:10:51,614 up to be the main, protagonist of the stories? 1322 01:10:52,281 --> 01:10:56,685 kind of like what happens to Ryan Reynolds character in this movie, free guy. 1323 01:10:56,819 --> 01:10:59,822 Do you think that we will reach to that point? 1324 01:11:00,089 --> 01:11:00,322 Yeah. 1325 01:11:00,322 --> 01:11:03,726 So, you, if you play games, you know that there's already 1326 01:11:03,726 --> 01:11:06,962 and PC characters, but they exist within a kind of small model. 1327 01:11:08,097 --> 01:11:09,231 I think it could be. 1328 01:11:09,231 --> 01:11:13,068 It could be that they make characters that are sort of infinite. 1329 01:11:13,669 --> 01:11:16,171 it would it would depend at this point on the data set 1330 01:11:16,171 --> 01:11:19,174 and what the input is and how the, how they're making them. 1331 01:11:19,942 --> 01:11:22,244 I think probably we will I can't see 1332 01:11:22,244 --> 01:11:25,247 why they wouldn't explore that at some point. 1333 01:11:25,581 --> 01:11:28,584 and if they can generate, 1334 01:11:28,617 --> 01:11:32,388 characters, the, the can populate worlds and then, you know, repeat them 1335 01:11:32,388 --> 01:11:35,824 in other worlds, it's sort of economies of scale as well, I think. 1336 01:11:35,824 --> 01:11:38,827 I think it will definitely happen. 1337 01:11:39,361 --> 01:11:44,366 if there are like, some games that are already using sort of not 1338 01:11:44,366 --> 01:11:48,570 I don't know if they're AI entirely, but they sort of game engine AI, already. 1339 01:11:48,570 --> 01:11:51,240 So I think it's sort of probably a natural step. 1340 01:11:51,240 --> 01:11:51,573 Yeah. 1341 01:11:58,681 --> 01:12:01,016 But Alana soy may I? 1342 01:12:01,016 --> 01:12:03,619 Most cars are available to the on TV. 1343 01:12:03,619 --> 01:12:07,256 My screen can ambiental and this can portray 1344 01:12:08,090 --> 01:12:11,093 conocimiento content content entities. 1345 01:12:12,261 --> 01:12:14,396 Como sopranos Mexico Como 1346 01:12:14,396 --> 01:12:18,667 algunas otras Suarez el mundo ion actresses por la seguridad 1347 01:12:18,701 --> 01:12:21,704 Erika Espero q no se caso into police. 1348 01:12:22,471 --> 01:12:24,473 actor 1349 01:12:24,473 --> 01:12:27,009 el tratamento de la Delaware, Idaho. 1350 01:12:27,009 --> 01:12:30,379 El impacto commissioners el inteligencia artificial de su potential por una 1351 01:12:30,846 --> 01:12:34,249 cultural Como la aplicacion de la inteligencia artificial 1352 01:12:34,450 --> 01:12:37,453 in Castillo administration, the recursos 1353 01:12:37,920 --> 01:12:40,556 in entertainment de la cooperatively in comunidades 1354 01:12:40,556 --> 01:12:45,227 vulnerables UK residents in in in artificial consider 1355 01:12:45,227 --> 01:12:48,964 areas applicable D-Bus para estos desafios in the 1356 01:12:50,132 --> 01:12:52,267 y Como podemos integral in proyectos 1357 01:12:52,267 --> 01:12:55,270 in interactors or settlement communities. 1358 01:12:55,270 --> 01:12:58,273 Vulnerables. 1359 01:12:59,808 --> 01:13:01,977 Okay, so I'll go back to saying 1360 01:13:01,977 --> 01:13:04,980 I'm not an AI technician. 1361 01:13:05,814 --> 01:13:08,650 but, I think this goes to the area 1362 01:13:08,650 --> 01:13:13,722 we were talking about process and programs because almost all, 1363 01:13:14,957 --> 01:13:16,592 programs or 1364 01:13:16,592 --> 01:13:20,796 items that take a long time, anything that needs a lot of analysis, 1365 01:13:20,796 --> 01:13:25,067 anything that needs a lot of, process to drive, it can be, 1366 01:13:26,602 --> 01:13:29,505 changed and updated with AI. 1367 01:13:29,505 --> 01:13:34,443 I think you would need to speak to somebody who understands how to program 1368 01:13:34,443 --> 01:13:38,547 AI for that kind of output, but I would presume 1369 01:13:38,547 --> 01:13:41,817 that you could input all kinds of data 1370 01:13:41,817 --> 01:13:44,820 and anything you wanted analyzed in it. 1371 01:13:45,421 --> 01:13:48,724 and you could create all kinds of automation across, 1372 01:13:49,057 --> 01:13:51,727 any processes that you're doing. 1373 01:13:51,727 --> 01:13:54,663 I know that, a lot of AI is being used, 1374 01:13:54,663 --> 01:13:57,633 for example, in the medical world, 1375 01:13:57,866 --> 01:14:00,869 to process huge amounts of information and, 1376 01:14:01,203 --> 01:14:04,239 even, even in diagnostic testing. 1377 01:14:04,873 --> 01:14:09,244 so I'm assuming that that type of automation could be applied 1378 01:14:09,244 --> 01:14:11,079 across what you do. 1379 01:14:11,079 --> 01:14:14,850 But again, I'm not a tech, technologist. 1380 01:14:15,184 --> 01:14:17,186 but thank you very much for coming. 1381 01:14:17,186 --> 01:14:20,823 It's lovely that some of your expertise, which would come and listen to me. 1382 01:14:20,823 --> 01:14:21,523 So thank you very much. 1383 01:14:24,693 --> 01:14:26,995 I keep 1384 01:14:26,995 --> 01:14:29,998 still to see that those you 1385 01:14:30,966 --> 01:14:34,536 executed is in my interior Fisica. 1386 01:14:35,170 --> 01:14:37,573 Oh, is it, 1387 01:14:37,573 --> 01:14:40,742 is it trabaja instituto theoretical. 1388 01:14:41,143 --> 01:14:43,045 The physical 1389 01:14:43,045 --> 01:14:43,946 is public. 1390 01:14:43,946 --> 01:14:46,849 A city that is most dificil. 1391 01:14:46,849 --> 01:14:49,852 I think that maybe someone else. 1392 01:14:51,587 --> 01:14:54,590 Between these two with, 1393 01:14:55,257 --> 01:14:56,792 An inner city. 1394 01:14:56,792 --> 01:14:59,294 You've become incontinent. 1395 01:14:59,294 --> 01:15:01,296 No, no. No. 1396 01:15:01,296 --> 01:15:01,663 Pool. 1397 01:15:01,663 --> 01:15:06,134 It reduces lattice after, like they. 1398 01:15:09,004 --> 01:15:10,873 It was until Santos. 1399 01:15:10,873 --> 01:15:13,375 the kitchen equipment, 1400 01:15:13,375 --> 01:15:16,378 the maestro de fisica. I. 1401 01:15:19,648 --> 01:15:21,383 I don't think that's me. 1402 01:15:21,383 --> 01:15:25,554 But how does some people see service keys? 1403 01:15:25,587 --> 01:15:28,490 Lattice. Don't worry, don't work. 1404 01:15:28,490 --> 01:15:28,924 There's some. 1405 01:15:28,924 --> 01:15:31,593 There's loads of kind of prices in, in England. 1406 01:15:31,593 --> 01:15:34,129 I'm sorry. 1407 01:15:34,129 --> 01:15:37,132 It's. 1408 01:15:37,232 --> 01:15:38,901 Hello. 1409 01:15:38,901 --> 01:15:41,904 what can. I. 1410 01:15:42,971 --> 01:15:45,574 Plant for my area? 1411 01:15:45,574 --> 01:15:47,676 Fleshy sealant. Delicious. 1412 01:15:47,676 --> 01:15:49,478 Artificial 1413 01:15:49,478 --> 01:15:52,481 solar. 1414 01:15:54,316 --> 01:15:57,319 yes. at the moment, 1415 01:15:57,452 --> 01:16:02,491 no, it's a difficult question because it, can do things. 1416 01:16:02,491 --> 01:16:04,293 It has been asked to do. 1417 01:16:04,293 --> 01:16:08,730 And so to take it can take what you've asked it to do 1418 01:16:08,730 --> 01:16:12,634 and work out other tasks from what you've asked it to do. 1419 01:16:12,968 --> 01:16:15,437 But at the moment they don't function. 1420 01:16:15,437 --> 01:16:19,675 They don't just start up and do things entirely on their own, 1421 01:16:20,042 --> 01:16:23,378 because that would be when we're moving up to different types of 1422 01:16:23,579 --> 01:16:26,915 AI at the moment, they still need human input 1423 01:16:27,215 --> 01:16:31,219 and they still need, humans to sort of start them off. 1424 01:16:31,520 --> 01:16:34,222 But, because we have AI 1425 01:16:34,222 --> 01:16:38,727 that works on the neural networks, they can understand 1426 01:16:38,727 --> 01:16:43,165 tasks that you might want them to do and run in the background 1427 01:16:43,165 --> 01:16:47,903 of a lot of things, but they don't sort of just start on their own, 1428 01:16:48,870 --> 01:16:50,405 at the moment, 1429 01:16:50,405 --> 01:16:53,408 which is probably good. 1430 01:16:54,209 --> 01:16:57,212 Thank you very much. 1431 01:16:57,512 --> 01:17:00,482 are you. 1432 01:17:01,483 --> 01:17:04,486 Yes. Of course. 1433 01:17:05,420 --> 01:17:06,254 yeah. 1434 01:17:06,254 --> 01:17:08,223 Very excellent. Gentlemen, colleagues. 1435 01:17:08,223 --> 01:17:09,091 Any difficulties? 1436 01:17:09,091 --> 01:17:14,196 Took us real rate, though, but I have to see a lot of maestros in Colombo. 1437 01:17:14,529 --> 01:17:17,265 Christian de la inteligencia, artificial pensando 1438 01:17:17,265 --> 01:17:20,268 de la gamification. 1439 01:17:25,440 --> 01:17:27,776 Gamification. 1440 01:17:27,776 --> 01:17:31,847 Oh, so I think there's quite a lot of challenges for 1441 01:17:31,847 --> 01:17:36,184 I think universities actually is a big area where this is a problem. 1442 01:17:36,184 --> 01:17:36,785 And I'm sure 1443 01:17:36,785 --> 01:17:39,788 you guys probably know a lot more than me about how you're dealing with, 1444 01:17:40,856 --> 01:17:42,624 students using I am 1445 01:17:42,624 --> 01:17:45,627 what they're allowed to use and not allowed to use. 1446 01:17:46,461 --> 01:17:48,897 I think there's some massive benefits. 1447 01:17:48,897 --> 01:17:52,868 for example, my niece, is studying for her degree at Pret. 1448 01:17:52,868 --> 01:17:57,539 Not it's great for her GCSEs, which is she's 16, and, she was talking 1449 01:17:57,539 --> 01:18:02,544 to, ChatGPT and asking you questions, and it's helping her learn things. 1450 01:18:02,544 --> 01:18:04,279 And I think that's a massive benefit. 1451 01:18:04,279 --> 01:18:08,950 But I think when it comes to then testing and essays and things, we're 1452 01:18:08,950 --> 01:18:13,588 going to have to find in lots of places a kind of different language 1453 01:18:13,922 --> 01:18:18,827 of how we, are approaching AI in learning institutions. 1454 01:18:19,361 --> 01:18:23,331 I think when you get into sort of professional scenarios 1455 01:18:23,565 --> 01:18:29,504 through one of the downsides is that, when when you're coming up, you tend to do 1456 01:18:29,671 --> 01:18:34,776 sort of tasks that are maybe seem a bit menial, but they do things like 1457 01:18:35,777 --> 01:18:37,379 establish your taste 1458 01:18:37,379 --> 01:18:41,049 or, what you think about certain things. 1459 01:18:41,049 --> 01:18:45,387 Like I spent a long time at one job sorting through types of video clips 1460 01:18:45,387 --> 01:18:47,189 that they wanted to use, and from that 1461 01:18:47,189 --> 01:18:52,394 I learned a lot about my own ideas about what I thought was good. 1462 01:18:52,627 --> 01:18:55,430 And I think those kind of tasks are going to be difficult for 1463 01:18:55,430 --> 01:18:59,167 young people to, like, have ways to learn. 1464 01:18:59,167 --> 01:19:02,170 But there are different ways to learn with AI. 1465 01:19:02,270 --> 01:19:05,874 would you be able to just tell me what you mean by the gamified version? 1466 01:19:05,874 --> 01:19:06,541 Because I understand 1467 01:19:06,541 --> 01:19:09,745 what gamification means, but I am not sure I understand the question. 1468 01:19:10,879 --> 01:19:14,483 Okay, well, leads us to. 1469 01:19:22,858 --> 01:19:24,960 Let's go to the first question. 1470 01:19:24,960 --> 01:19:28,663 Do you cuando nos Hugo's para para promover 1471 01:19:28,864 --> 01:19:33,502 aprendizaje digamos de conquista the Historia. 1472 01:19:33,502 --> 01:19:37,405 And on de Los portas de Tomas material 1473 01:19:37,405 --> 01:19:41,009 historico Como lo going power to the 1474 01:19:42,010 --> 01:19:42,544 historico 1475 01:19:42,544 --> 01:19:45,547 to be stackable scarce and that is mysterious. 1476 01:19:45,547 --> 01:19:48,450 Miguel sal pasado la realidad 1477 01:19:48,450 --> 01:19:52,754 is a transformative munition apprenticeship for students. 1478 01:19:52,754 --> 01:19:54,356 Bank Como se ve strong? 1479 01:19:54,356 --> 01:19:56,992 Come on, come on, come on, 1480 01:19:56,992 --> 01:19:59,995 I say vessel de la 1481 01:20:00,095 --> 01:20:03,098 el Hugo para promover aprendizaje. 1482 01:20:03,965 --> 01:20:06,902 Yeah, well, with a gunpowder plot, 1483 01:20:06,902 --> 01:20:10,105 we were asked to make sure it had a learning, 1484 01:20:11,173 --> 01:20:12,741 that it did educate. 1485 01:20:12,741 --> 01:20:18,046 So, as we were making it, that set the kind of tone 1486 01:20:18,480 --> 01:20:23,218 when I'm making something I usually start with, like the central idea. 1487 01:20:23,885 --> 01:20:26,288 And the central idea of that was, 1488 01:20:26,288 --> 01:20:29,457 can violence for a cause ever be justified? 1489 01:20:29,858 --> 01:20:32,761 So we knew that was the central question. 1490 01:20:32,761 --> 01:20:35,931 and that was the central thing we wanted the audience to understand. 1491 01:20:36,198 --> 01:20:40,468 And then we knew we were making something educational, but also in attraction. 1492 01:20:40,702 --> 01:20:43,805 We knew we wanted it to be dark and moody or whatever. 1493 01:20:43,972 --> 01:20:48,143 So we set ourselves a bunch of tasks of that with the learning element. 1494 01:20:48,343 --> 01:20:51,513 It it changed how we structured everything 1495 01:20:51,880 --> 01:20:55,083 because we knew we wanted this central question to be, 1496 01:20:55,984 --> 01:21:00,455 what the audience and the quite a lot of young people would go away with. 1497 01:21:00,722 --> 01:21:03,825 We even structured the first half of the entire experience 1498 01:21:04,092 --> 01:21:07,362 with, two scenes pro 1499 01:21:07,562 --> 01:21:10,632 The Crown, two scenes pro the plot. 1500 01:21:11,433 --> 01:21:14,169 and that meant that as you were going through it, you very much 1501 01:21:14,169 --> 01:21:17,239 learned the two sides of that historical problem. 1502 01:21:17,505 --> 01:21:21,376 And then by the time you get to the interval, you're asked 1503 01:21:21,676 --> 01:21:23,178 which way you want to go. 1504 01:21:23,178 --> 01:21:25,747 Do you want to side with the plot and blow up Parliament? 1505 01:21:25,747 --> 01:21:27,148 Do you want to side with the King? 1506 01:21:27,148 --> 01:21:30,018 But that means persecution continues. 1507 01:21:30,018 --> 01:21:33,021 and when you later you would ask an audience what they 1508 01:21:33,188 --> 01:21:38,059 remember and learn, they, they would remember a lot, like a lot of 1509 01:21:38,059 --> 01:21:42,197 the actual historical detail of the plot that they didn't know they would remember. 1510 01:21:42,197 --> 01:21:43,932 And it's because they were 1511 01:21:43,932 --> 01:21:48,036 we had structured the experience to kind of force them to engage 1512 01:21:48,303 --> 01:21:51,573 up to the point where they had to answer a very difficult question. 1513 01:21:52,407 --> 01:21:56,311 and I think that is how we were using gamification 1514 01:21:56,611 --> 01:22:00,181 in that process in order to make sure that they were engaged 1515 01:22:00,181 --> 01:22:03,385 every step of their journey with that central question, 1516 01:22:03,551 --> 01:22:07,522 but also with all the historical facts that make that central question relevant. 1517 01:22:07,889 --> 01:22:09,658 Does that make sense to hear? 1518 01:22:11,760 --> 01:22:15,363 Hi. is there anything you can tell us about opera. 1519 01:22:15,363 --> 01:22:16,531 And classical music? 1520 01:22:16,531 --> 01:22:19,634 Not about composing or staging it with some. 1521 01:22:19,634 --> 01:22:23,638 Oh, do know things about that, but about enjoying the performance, 1522 01:22:23,638 --> 01:22:26,741 attending a performance, the the actual experience 1523 01:22:26,942 --> 01:22:29,945 of a classical music concert or performance. 1524 01:22:30,545 --> 01:22:32,047 what in relation to I. 1525 01:22:32,047 --> 01:22:35,050 Yeah, sure. Of course I related to them. 1526 01:22:35,050 --> 01:22:38,820 I mean, I was just trying to think of ones that are using it. 1527 01:22:39,120 --> 01:22:43,058 I know there's a lot more use of, some of the technologies I showed you. 1528 01:22:43,959 --> 01:22:46,261 there was a staging in Basel. 1529 01:22:46,261 --> 01:22:47,762 I think it was. 1530 01:22:47,762 --> 01:22:51,700 I'd have to look it up in maybe in Aida, but they had, massive giant, 1531 01:22:52,467 --> 01:22:55,470 fully changeable digital staging. 1532 01:22:56,404 --> 01:22:59,441 which I think would be it is a step forward, like, 1533 01:23:00,342 --> 01:23:03,478 in terms of using technology with, with opera. 1534 01:23:03,478 --> 01:23:06,715 I mean, I love opera and classical music, and I think they be 1535 01:23:06,748 --> 01:23:09,050 they will be affected in the same way. 1536 01:23:09,050 --> 01:23:09,818 All of these, 1537 01:23:10,852 --> 01:23:11,920 types of, 1538 01:23:11,920 --> 01:23:16,524 all of this art is being affected because there's a much grander appetite 1539 01:23:16,524 --> 01:23:19,527 for the use of technology across the board. 1540 01:23:20,528 --> 01:23:21,663 I don't know. 1541 01:23:21,663 --> 01:23:24,799 I think if I was going to think about making an opera, 1542 01:23:24,799 --> 01:23:29,204 I might think about using the Ambisonics sound stuff. 1543 01:23:29,204 --> 01:23:32,774 I think it'd be very interesting to hear some of that music 1544 01:23:32,774 --> 01:23:35,777 kind of all around. 1545 01:23:36,311 --> 01:23:38,013 but I'm not I'm not an expert 1546 01:23:38,013 --> 01:23:41,916 on either of those areas, so I'd have to go and pick it up. 1547 01:23:41,916 --> 01:23:46,221 But I think they're being affected in the same way a lot. 1548 01:23:46,221 --> 01:23:48,957 Lots of it has been affected. Thanks. 1549 01:23:48,957 --> 01:23:51,526 Okay. Yeah, yeah. 1550 01:23:51,526 --> 01:23:54,996 Well, it's the and when it's done, automatically. 1551 01:23:56,264 --> 01:23:59,234 So you might still be able to see the signal. 1552 01:23:59,234 --> 01:24:01,069 So investigador también. 1553 01:24:01,069 --> 01:24:03,838 Yeah. They just announced this thing when 1554 01:24:03,838 --> 01:24:06,841 and only to laboratorio de realidad visual. 1555 01:24:06,875 --> 01:24:07,742 Right. If I 1556 01:24:08,877 --> 01:24:11,212 tell him that then 1557 01:24:11,212 --> 01:24:14,449 what he must prevent has been basicamente seria estados. 1558 01:24:15,483 --> 01:24:16,985 You can. Talk. Afterwards. 1559 01:24:16,985 --> 01:24:18,653 Si. No. Yeah. Yeah. 1560 01:24:18,653 --> 01:24:20,221 Okay. Todas las preguntas. 1561 01:24:20,221 --> 01:24:23,191 Because he said finally to exposicion his own interesante interesantes. 1562 01:24:24,025 --> 01:24:26,094 Yes or no secret. Okay, okay. 1563 01:24:26,094 --> 01:24:29,397 Inteligencia artificial es una revolution cultural Como el e 1564 01:24:29,931 --> 01:24:33,568 de las industrias aspecto e Jose State 1565 01:24:34,102 --> 01:24:38,239 tarea implement instancia se rescue Los Los medios invisibles. 1566 01:24:39,274 --> 01:24:43,311 but necesito alguna Los medios Como Los momentos 1567 01:24:44,012 --> 01:24:48,049 e and segundo lugar is a cake on psychosis. 1568 01:24:48,083 --> 01:24:50,218 The idea is 1569 01:24:50,218 --> 01:24:52,921 Los Estudiantes can stand in glissando, 1570 01:24:52,921 --> 01:24:56,057 todo mundo de Los Medios in Mercyhurst, 1571 01:24:56,091 --> 01:24:59,094 Como el. 1572 01:25:00,695 --> 01:25:02,197 so I do think 1573 01:25:02,197 --> 01:25:05,200 immersive storytelling as a genre. 1574 01:25:05,200 --> 01:25:09,003 So not just VR, but the entire use of 1575 01:25:09,571 --> 01:25:12,874 immersion in storytelling is not going away. 1576 01:25:12,874 --> 01:25:15,410 That seems to be a very big appetite for it. 1577 01:25:15,410 --> 01:25:18,346 And also, especially post-pandemic. 1578 01:25:19,581 --> 01:25:20,415 there's been just 1579 01:25:20,415 --> 01:25:24,152 a much bigger, appetite for technologies used. 1580 01:25:24,152 --> 01:25:25,420 Like I was saying to the gentleman 1581 01:25:25,420 --> 01:25:29,057 who asked about classical music, but of course, lots of different genres. 1582 01:25:30,024 --> 01:25:33,027 actually, I've just thought of something, 1583 01:25:33,294 --> 01:25:35,430 that when he was asking about classical, actually, 1584 01:25:35,430 --> 01:25:38,433 I went to a piano concert and they were using, 1585 01:25:38,967 --> 01:25:41,970 generated faces of the pianists, 1586 01:25:42,203 --> 01:25:44,973 in, in various part, I had to look it up for you, but 1587 01:25:44,973 --> 01:25:48,243 they were using AI generated faces of her through the age. 1588 01:25:48,510 --> 01:25:50,278 as part of her, presentation. 1589 01:25:50,278 --> 01:25:54,315 But anyway, so I do think immersive is, absolutely part 1590 01:25:54,315 --> 01:25:57,318 and parcel now, and I think it's partly because, 1591 01:25:58,353 --> 01:26:01,823 AI and other technologies is becoming more and more and more accessible. 1592 01:26:01,990 --> 01:26:05,960 So all kinds of genres are starting to go, okay, well, we can use, 1593 01:26:07,061 --> 01:26:08,163 technology like 1594 01:26:08,163 --> 01:26:10,165 it's only in the last few years, people have been saying to me, 1595 01:26:10,165 --> 01:26:12,834 oh, we want to make an immersive museum, for example. 1596 01:26:12,834 --> 01:26:15,837 And the first time someone said that to me, there was, I mean, you know, 1597 01:26:16,337 --> 01:26:19,741 and then now, that, that that comes up a lot, 1598 01:26:20,041 --> 01:26:23,011 a lot of the cultural institutions in the UK and Europe, 1599 01:26:23,011 --> 01:26:26,881 also going to a museum in Finland, for example, saying we want to use 1600 01:26:26,881 --> 01:26:30,351 immersive technologies, alongside our collections or 1601 01:26:31,052 --> 01:26:34,055 and we want to create an experience for the audience that's, 1602 01:26:34,923 --> 01:26:35,857 immersive. 1603 01:26:35,857 --> 01:26:38,860 So I think that those technologies are not going anywhere. 1604 01:26:39,561 --> 01:26:40,562 and I think that's good. 1605 01:26:40,562 --> 01:26:44,666 I think it gives people more of an access to all kinds of stories, 1606 01:26:44,866 --> 01:26:48,770 and they can understand it in ways and feel it in ways they maybe wouldn't. 1607 01:26:49,003 --> 01:26:50,138 from more traditional, 1608 01:26:51,272 --> 01:26:53,541 museums, for example. 1609 01:26:53,541 --> 01:26:56,544 I think, when it comes to VR, 1610 01:26:57,278 --> 01:27:00,281 I don't know if VR is going to get 1611 01:27:01,216 --> 01:27:03,017 I think now we see some of the more 1612 01:27:03,017 --> 01:27:05,887 accessible headsets and some of the more, 1613 01:27:05,887 --> 01:27:08,990 accessible things like Google Glass and stuff, maybe. 1614 01:27:08,990 --> 01:27:13,027 But I think it still feels like there's a bit of a jump. 1615 01:27:13,027 --> 01:27:14,929 People have a bit of, 1616 01:27:14,929 --> 01:27:17,665 it's almost like a technology or a technological 1617 01:27:17,665 --> 01:27:20,802 leap to do to get them interested in VR. 1618 01:27:20,802 --> 01:27:24,505 I think people feel that there's a barrier because of that thing, 1619 01:27:25,006 --> 01:27:26,808 and the kind of stuff. 1620 01:27:26,808 --> 01:27:29,611 And I think people find that a bit of a barrier. 1621 01:27:29,611 --> 01:27:34,782 So I don't know how we're if that's going to become more and more mainstream. 1622 01:27:34,983 --> 01:27:36,117 It seems to go through phases. 1623 01:27:36,117 --> 01:27:38,186 And I'm sure you know that better than me. 1624 01:27:38,186 --> 01:27:41,122 The sort of phases of how well it's used. 1625 01:27:42,490 --> 01:27:43,291 but personally, I 1626 01:27:43,291 --> 01:27:46,861 think that, AI is very exciting. 1627 01:27:47,262 --> 01:27:49,197 I don't think it's going anywhere. 1628 01:27:49,197 --> 01:27:52,700 And I think we should embrace it as far as we can. 1629 01:27:52,867 --> 01:27:57,672 But I do think we're behind on the kind of technological aspects of it 1630 01:27:57,672 --> 01:28:01,376 and the, or the ethical aspects of it and how, 1631 01:28:01,809 --> 01:28:05,980 how we, approach solving those ethical aspects. 1632 01:28:06,681 --> 01:28:10,218 I did a lot of research for this, and I looked up a lot of suggestions 1633 01:28:10,218 --> 01:28:14,289 for those ethical aspects, and there doesn't seem to be any type of consensus. 1634 01:28:15,123 --> 01:28:16,124 and as we know, in America, 1635 01:28:16,124 --> 01:28:19,627 there was that massive strike because there isn't an ethical consensus. 1636 01:28:20,295 --> 01:28:23,298 and I think that's possibly going to be a barrier 1637 01:28:23,331 --> 01:28:26,334 fairly shortly to how it's, use, 1638 01:28:26,834 --> 01:28:29,971 and how much accessibility there is on an everyday level. 1639 01:28:33,541 --> 01:28:35,710 So what was it 1640 01:28:35,710 --> 01:28:37,378 about students? 1641 01:28:37,378 --> 01:28:40,381 Oh, how students, how should students, 1642 01:28:41,516 --> 01:28:45,687 well, that is one of the things that is good about it is democratizing. 1643 01:28:45,853 --> 01:28:49,857 They can access huge amounts of technological stuff. 1644 01:28:49,891 --> 01:28:51,526 Had that list. 1645 01:28:51,526 --> 01:28:52,994 there's so much free stuff. 1646 01:28:52,994 --> 01:28:56,431 There's so much, like, help there if you 1647 01:28:56,631 --> 01:29:00,234 if you want to make now your own film and you want a drone shot of, 1648 01:29:01,436 --> 01:29:04,305 oh, flying over Mexico City, you can make that. 1649 01:29:04,305 --> 01:29:08,743 You can just make it, you can create work more quickly, 1650 01:29:08,743 --> 01:29:11,746 more easily and more professionally than, 1651 01:29:13,081 --> 01:29:15,516 actual professional companies could just five years ago 1652 01:29:15,516 --> 01:29:18,519 because there's access to huge amounts of tools. 1653 01:29:18,619 --> 01:29:22,090 So I think that, is something that they should be inspired by. 1654 01:29:22,090 --> 01:29:26,260 They can go and look at and just go and have a play, with AI 1655 01:29:26,260 --> 01:29:29,263 and see what it's making you want to do in terms of your storytelling. 1656 01:29:29,697 --> 01:29:31,532 and I think they'll probably know 1657 01:29:31,532 --> 01:29:34,702 more than me because it's sort of natural as we're getting these tools 1658 01:29:34,702 --> 01:29:36,871 where you can go and have a chat with it and go, 1659 01:29:36,871 --> 01:29:40,141 can you give me five prompts to how to write a story or whatever? 1660 01:29:40,441 --> 01:29:44,011 I think they just need to get used to, like using it for their, 1661 01:29:44,812 --> 01:29:48,015 for whatever story, whatever the thing they're creating. 1662 01:29:48,182 --> 01:29:52,320 And I think the really the opportunities for how you can use it are endless. 1663 01:29:52,320 --> 01:29:53,121 I did a few, 1664 01:29:54,122 --> 01:29:55,523 but there are so many 1665 01:29:55,523 --> 01:29:58,526 ways and there'll be so many clever, brilliant students you have. 1666 01:29:58,659 --> 01:30:01,129 He'll be doing stuff way beyond what I'm imagining. 1667 01:30:01,129 --> 01:30:02,797 And I think that's really, really exciting. 1668 01:30:02,797 --> 01:30:05,800 I'd love to see what they're up to. 1669 01:30:21,015 --> 01:30:21,983 Thank you. 1670 01:30:21,983 --> 01:30:22,717 Thank you very much. 145329

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