1 00:00:00,000 --> 00:00:02,640 Hey everyone and welcome to this deep dive. 2 00:00:02,640 --> 00:00:05,920 We're gonna be talking about artificial intelligence and art. 3 00:00:05,920 --> 00:00:07,280 Yeah, sounds like fun. 4 00:00:07,280 --> 00:00:08,480 You bet it is. 5 00:00:08,480 --> 00:00:10,680 You've given us some really interesting research articles 6 00:00:10,680 --> 00:00:13,760 to dive into and looks like things could get a little, 7 00:00:13,760 --> 00:00:14,880 well, controversial. 8 00:00:14,880 --> 00:00:16,720 Definitely, we've got articles covering film, 9 00:00:16,720 --> 00:00:19,720 television, theater, even dance. 10 00:00:19,720 --> 00:00:22,040 And you know, the central question seems to be, 11 00:00:22,040 --> 00:00:25,600 will AI be a tool for amazing new art 12 00:00:25,600 --> 00:00:28,800 or is it gonna like completely replace human creativity? 13 00:00:28,800 --> 00:00:32,040 You know, I think that's a really good question to start with. 14 00:00:32,040 --> 00:00:33,960 To kick things off, maybe we should talk about 15 00:00:33,960 --> 00:00:36,720 what generative AI is. 16 00:00:36,720 --> 00:00:38,840 Justine Bateman, the actress and tech expert 17 00:00:38,840 --> 00:00:39,960 in one of our sources. 18 00:00:39,960 --> 00:00:41,720 She uses a really cool analogy, I thought. 19 00:00:41,720 --> 00:00:42,560 Oh yeah. 20 00:00:42,560 --> 00:00:45,160 She compares generative AI to a blender. 21 00:00:45,160 --> 00:00:46,520 Oh right, I remember that. 22 00:00:46,520 --> 00:00:48,160 That's a really good way to think about it. 23 00:00:48,160 --> 00:00:51,000 You're essentially like feeding all this data to the AI, 24 00:00:51,000 --> 00:00:53,520 like maybe like a centuries worth of movies 25 00:00:53,520 --> 00:00:55,080 and then you ask it to blend it all up 26 00:00:55,080 --> 00:00:56,760 based on whatever you're trying to create. 27 00:00:56,760 --> 00:01:01,280 But Bateman, she doesn't see that as true creativity. 28 00:01:01,280 --> 00:01:04,320 She calls it theft because the AI is just taking 29 00:01:04,320 --> 00:01:06,080 what's already out there and spitting it back out. 30 00:01:06,080 --> 00:01:08,600 Right, and so that brings up a really interesting question. 31 00:01:08,600 --> 00:01:12,240 Can AI actually be creative 32 00:01:12,240 --> 00:01:14,880 or is it just a really good imitator? 33 00:01:14,880 --> 00:01:17,120 You know, some experts, they believe that AI 34 00:01:17,120 --> 00:01:19,920 could achieve something called novel synthesis 35 00:01:19,920 --> 00:01:21,920 where it takes these existing elements 36 00:01:21,920 --> 00:01:24,480 and combines them in a way that humans never would. 37 00:01:24,480 --> 00:01:25,320 I see what you mean. 38 00:01:25,320 --> 00:01:28,080 So like even if the raw ingredients are the same, 39 00:01:28,080 --> 00:01:30,440 the AI could maybe come up with a totally new recipe. 40 00:01:30,440 --> 00:01:32,000 Yeah, exactly. 41 00:01:32,000 --> 00:01:33,200 But then even with that, 42 00:01:33,200 --> 00:01:36,160 some argue that AI is limited by what's called mixed style. 43 00:01:36,160 --> 00:01:38,280 So it can only blend styles that already exist. 44 00:01:38,280 --> 00:01:39,840 So you know, maybe it could make a movie 45 00:01:39,840 --> 00:01:42,560 that combines the style of Hitchcock with Spielberg, 46 00:01:42,560 --> 00:01:44,840 but it couldn't create like a totally brand new style 47 00:01:44,840 --> 00:01:46,240 that we've never seen before. 48 00:01:46,240 --> 00:01:47,520 That is really interesting. 49 00:01:47,520 --> 00:01:49,080 I hadn't thought about it like that. 50 00:01:49,080 --> 00:01:50,440 But let's shift gears a little bit 51 00:01:50,440 --> 00:01:53,440 and talk about an artist who's actually using AI in her work. 52 00:01:53,440 --> 00:01:54,560 Heidi Boisert. 53 00:01:54,560 --> 00:01:56,880 She's a computer scientist and an artist 54 00:01:56,880 --> 00:01:59,160 and her project, Radical Signs of Life, 55 00:01:59,160 --> 00:02:00,960 really caught my eye in these sources. 56 00:02:00,960 --> 00:02:02,640 Yeah, her work is a great example 57 00:02:02,640 --> 00:02:04,680 of how AI can be used collaboratively 58 00:02:04,680 --> 00:02:05,840 in the performing arts. 59 00:02:05,840 --> 00:02:07,360 I was really interested in that. 60 00:02:07,360 --> 00:02:09,160 Imagine like a dance performance 61 00:02:09,160 --> 00:02:12,440 where the dancers' movements are being captured by sensors 62 00:02:12,440 --> 00:02:15,440 and then used to create visuals and music in real time. 63 00:02:15,440 --> 00:02:17,800 So the dancers are like co-creating with the AI. 64 00:02:17,800 --> 00:02:18,760 That's so cool. Yeah. 65 00:02:18,760 --> 00:02:21,440 Yeah, their bodies are like actually shaping 66 00:02:21,440 --> 00:02:22,640 the whole experience. 67 00:02:22,640 --> 00:02:24,480 And what's really cool is that Boisert 68 00:02:24,480 --> 00:02:27,880 uses technology to actually critique technology itself. 69 00:02:27,880 --> 00:02:33,000 She's really interested in that line between human and machine. 70 00:02:33,000 --> 00:02:34,720 It makes you wonder, right? 71 00:02:34,720 --> 00:02:36,360 What would it be like to go to a show 72 00:02:36,360 --> 00:02:39,560 where AI is like a partner on the stage? 73 00:02:39,560 --> 00:02:42,280 Would it enhance the experience or would it be, 74 00:02:42,280 --> 00:02:43,840 I don't know, maybe a little unsettling? 75 00:02:43,840 --> 00:02:44,680 Yeah, yeah. 76 00:02:44,680 --> 00:02:46,720 It's like those deepfakes we see online. 77 00:02:46,720 --> 00:02:47,600 Sometimes they're amazing, 78 00:02:47,600 --> 00:02:49,480 but other times they just feel a little off. 79 00:02:49,480 --> 00:02:50,760 Yeah, definitely. 80 00:02:50,760 --> 00:02:52,160 But speaking of unsettling, 81 00:02:52,160 --> 00:02:55,080 let's go back to Justine Bateman for a second. 82 00:02:55,080 --> 00:02:56,240 She has some pretty big concerns 83 00:02:56,240 --> 00:02:59,080 about AI's impact on filmmaking. 84 00:02:59,080 --> 00:03:01,320 And it's not just about the creative side of things. 85 00:03:01,320 --> 00:03:02,680 Right, she's worried about jobs. 86 00:03:02,680 --> 00:03:03,960 And I think rightfully so. 87 00:03:03,960 --> 00:03:07,800 I mean, if AI can write scripts, generate performances, 88 00:03:07,800 --> 00:03:09,640 and even edit movies, 89 00:03:09,640 --> 00:03:11,760 what's gonna happen to all the people who do those jobs? 90 00:03:11,760 --> 00:03:12,880 Exactly. 91 00:03:12,880 --> 00:03:15,320 Bateman argues that we're headed toward this world 92 00:03:15,320 --> 00:03:18,760 of volume content where studios are just pumping out tons 93 00:03:18,760 --> 00:03:21,560 of movies and shows with no real heart or soul 94 00:03:21,560 --> 00:03:24,560 because it's just cheaper and faster to do it that way. 95 00:03:24,560 --> 00:03:27,080 Right, and that really leads to a bigger question. 96 00:03:27,080 --> 00:03:30,640 Will this focus on efficiency and profit 97 00:03:30,640 --> 00:03:34,120 mean that we lose something special about art itself? 98 00:03:34,120 --> 00:03:35,200 That's a good question. 99 00:03:35,200 --> 00:03:38,480 I mean, new technologies have always disrupted the arts. 100 00:03:38,480 --> 00:03:41,200 Photography changed, painting, film changed, theater. 101 00:03:41,200 --> 00:03:43,160 But is AI different somehow? 102 00:03:43,160 --> 00:03:44,160 It really makes you think, 103 00:03:44,160 --> 00:03:47,560 is this just another chapter in how art evolves 104 00:03:47,560 --> 00:03:50,040 or are we heading into some uncharted territory? 105 00:03:50,040 --> 00:03:50,880 What do you think? 106 00:03:50,880 --> 00:03:52,280 Would you be excited to watch a movie 107 00:03:52,280 --> 00:03:54,440 that was completely generated by AI? 108 00:03:54,440 --> 00:03:55,640 Honestly, I'm not sure yet. 109 00:03:56,640 --> 00:03:58,760 But I think that's what makes this whole topic so interesting. 110 00:03:58,760 --> 00:04:00,000 Yeah, it's interesting. 111 00:04:00,000 --> 00:04:02,200 This whole idea of AI, 112 00:04:02,200 --> 00:04:05,960 maybe prioritizing profit over artistic integrity, 113 00:04:05,960 --> 00:04:07,160 that really resonated with me. 114 00:04:07,160 --> 00:04:08,120 It seems like that's something 115 00:04:08,120 --> 00:04:10,120 that pops up a lot in these discussions. 116 00:04:10,120 --> 00:04:11,880 Right, it makes me think about what Bateman said 117 00:04:11,880 --> 00:04:13,200 about volume content. 118 00:04:14,120 --> 00:04:16,360 If we're just focused on churning out 119 00:04:16,360 --> 00:04:18,360 as much stuff as possible, 120 00:04:18,360 --> 00:04:20,440 are we gonna lose something special about art? 121 00:04:20,440 --> 00:04:23,720 Like, will those really unique voices and visions 122 00:04:23,720 --> 00:04:25,440 just get kind of drowned out? 123 00:04:25,440 --> 00:04:27,160 Yeah, that's a really good point. 124 00:04:27,160 --> 00:04:28,680 And that actually connects to something else 125 00:04:28,680 --> 00:04:31,560 we were talking about earlier with Heidi Boyceford's work. 126 00:04:31,560 --> 00:04:33,240 She's done some really interesting research 127 00:04:33,240 --> 00:04:35,600 on what's called bio-adaptive media. 128 00:04:35,600 --> 00:04:37,240 Bio-adaptive media. 129 00:04:37,240 --> 00:04:39,400 Yeah, it's a pretty crazy concept. 130 00:04:39,400 --> 00:04:42,160 Imagine watching a movie that actually changes 131 00:04:42,160 --> 00:04:43,640 based on how you're reacting to it. 132 00:04:43,640 --> 00:04:44,600 Wait, is that even possible? 133 00:04:44,600 --> 00:04:46,640 That sounds like something out of a sci-fi movie. 134 00:04:46,640 --> 00:04:47,920 It is pretty cutting edge, 135 00:04:47,920 --> 00:04:51,840 but the idea is based on using biofeedback, 136 00:04:51,840 --> 00:04:53,920 like your heart rate or even brainwaves, 137 00:04:53,920 --> 00:04:56,200 to kind of personalize the experience. 138 00:04:56,200 --> 00:04:57,840 And Boyceford's research was focused 139 00:04:57,840 --> 00:04:59,920 on how we could use this technology 140 00:04:59,920 --> 00:05:03,160 to create a deeper connection between the viewer 141 00:05:03,160 --> 00:05:04,000 and the art. 142 00:05:04,000 --> 00:05:06,640 Okay, so if I'm watching a scary movie 143 00:05:06,640 --> 00:05:09,040 and my heart rate starts to go up, 144 00:05:09,040 --> 00:05:10,680 the movie would get even scarier. 145 00:05:10,680 --> 00:05:12,880 Exactly, or if you're watching a comedy 146 00:05:12,880 --> 00:05:14,000 and you're not laughing, 147 00:05:14,000 --> 00:05:16,200 it could adjust to try and make you laugh. 148 00:05:16,200 --> 00:05:18,320 But here's where it gets really interesting. 149 00:05:18,320 --> 00:05:21,720 Bateman actually sees this kind of personalization 150 00:05:21,720 --> 00:05:23,320 as a potential problem. 151 00:05:23,320 --> 00:05:24,360 Oh, really? Why? 152 00:05:24,360 --> 00:05:26,200 Yeah, she worries that it could actually lead 153 00:05:26,200 --> 00:05:28,720 to a loss of shared experiences around art. 154 00:05:28,720 --> 00:05:29,640 I could see that. 155 00:05:29,640 --> 00:05:31,640 Like if we're all watching these customized versions 156 00:05:31,640 --> 00:05:34,280 of the same movie, how can we even talk about it afterwards? 157 00:05:34,280 --> 00:05:36,560 Will we still have those water cooler moments? 158 00:05:36,560 --> 00:05:38,000 You know, where we bond over something 159 00:05:38,000 --> 00:05:39,000 that we've all seen? 160 00:05:39,000 --> 00:05:40,960 Exactly, that's exactly her concern. 161 00:05:40,960 --> 00:05:43,960 She thinks these AI-driven experiences 162 00:05:43,960 --> 00:05:46,040 could create these little bubbles 163 00:05:46,040 --> 00:05:47,920 where we're all just consuming content 164 00:05:47,920 --> 00:05:50,040 that's tailored specifically to us, 165 00:05:50,040 --> 00:05:53,520 and then we lose that common ground that connects us, 166 00:05:53,520 --> 00:05:54,880 you know, as a society. 167 00:05:54,880 --> 00:05:56,160 It's kind of like what's already happening 168 00:05:56,160 --> 00:05:57,680 with social media, right? 169 00:05:57,680 --> 00:05:59,560 Those algorithms are always trying to show us 170 00:05:59,560 --> 00:06:01,680 what they think we want to see, 171 00:06:01,680 --> 00:06:03,800 which can be helpful sometimes, 172 00:06:03,800 --> 00:06:05,760 but it also creates these echo chambers 173 00:06:05,760 --> 00:06:08,760 where we're only exposed to certain viewpoints. 174 00:06:08,760 --> 00:06:09,600 You're so right. 175 00:06:09,600 --> 00:06:12,120 It makes you think if that kind of personalization 176 00:06:12,120 --> 00:06:14,400 starts to affect all forms of art, 177 00:06:14,400 --> 00:06:15,440 is it gonna make it harder 178 00:06:15,440 --> 00:06:17,840 to connect with people who maybe see things differently? 179 00:06:17,840 --> 00:06:20,040 Are we gonna lose that kind of shared understanding 180 00:06:20,040 --> 00:06:22,560 of what art can be and what it can mean? 181 00:06:22,560 --> 00:06:24,400 It is a little bit scary, honestly. 182 00:06:24,400 --> 00:06:26,640 But it's not all doom and gloom, right? 183 00:06:26,640 --> 00:06:29,640 I mean, Boyzvert seems to be pretty optimistic 184 00:06:29,640 --> 00:06:30,840 about the potential of AI, 185 00:06:30,840 --> 00:06:32,480 even though she acknowledges the risks. 186 00:06:32,480 --> 00:06:33,320 Oh, absolutely. 187 00:06:33,320 --> 00:06:35,440 She's not just sitting back and watching all this unfold. 188 00:06:35,440 --> 00:06:37,320 She's actually doing something about it. 189 00:06:37,320 --> 00:06:39,040 She's developing what's going to be 190 00:06:39,040 --> 00:06:42,200 the nation's first AI and the arts curriculum 191 00:06:42,200 --> 00:06:43,680 at the University of Florida. 192 00:06:43,680 --> 00:06:46,440 Way to whole curriculum on AI and the arts. 193 00:06:46,440 --> 00:06:47,480 That's amazing. 194 00:06:47,480 --> 00:06:48,760 What will they be teaching? 195 00:06:48,760 --> 00:06:50,840 Well, it's all about giving students the tools 196 00:06:50,840 --> 00:06:53,400 and knowledge to navigate this new landscape. 197 00:06:53,400 --> 00:06:55,960 They'll learn about the technical side of AI, of course, 198 00:06:55,960 --> 00:06:58,600 but they'll also be encouraged to really think critically 199 00:06:58,600 --> 00:07:00,280 about the ethical implications 200 00:07:00,280 --> 00:07:02,360 of using AI in creative fields. 201 00:07:02,360 --> 00:07:04,400 So it's not just about learning how to use the tools. 202 00:07:04,400 --> 00:07:06,080 It's about understanding the bigger picture 203 00:07:06,080 --> 00:07:07,640 and making responsible choices. 204 00:07:07,640 --> 00:07:08,680 Exactly. 205 00:07:08,680 --> 00:07:13,600 Boyzvert wants to empower these next generation of artists 206 00:07:13,600 --> 00:07:16,640 to really use AI in a way that benefits 207 00:07:16,640 --> 00:07:19,400 both the individual and society as a whole. 208 00:07:19,400 --> 00:07:20,240 That's so important, 209 00:07:20,240 --> 00:07:21,520 especially with all the concerns 210 00:07:21,520 --> 00:07:22,680 that we've been talking about. 211 00:07:22,680 --> 00:07:23,520 It's almost like she's saying, 212 00:07:23,520 --> 00:07:25,520 look, this technology is powerful 213 00:07:25,520 --> 00:07:27,560 and it can be used for good or bad. 214 00:07:27,560 --> 00:07:29,600 So let's make sure that we're using it wisely. 215 00:07:29,600 --> 00:07:30,440 I love that. 216 00:07:30,440 --> 00:07:31,840 It's such a hopeful perspective 217 00:07:31,840 --> 00:07:33,760 in the midst of all this uncertainty. 218 00:07:33,760 --> 00:07:35,960 But it also makes me wonder, what about you? 219 00:07:35,960 --> 00:07:39,360 If you were using AI tools in your own creative work, 220 00:07:39,360 --> 00:07:41,800 what kind of ethical boundaries would you set for yourself? 221 00:07:41,800 --> 00:07:43,240 Where would you draw the line? 222 00:07:43,240 --> 00:07:44,640 Hmm. 223 00:07:44,640 --> 00:07:46,400 That's a really good question. 224 00:07:46,400 --> 00:07:49,040 I think for me, you would all come down to intention. 225 00:07:49,040 --> 00:07:52,320 Am I using this tool to enhance my own creativity 226 00:07:52,320 --> 00:07:56,000 and expression or am I letting it kind of take over? 227 00:07:56,000 --> 00:07:57,400 You know, it's a balance for sure. 228 00:07:57,400 --> 00:07:58,880 Yeah, it is a balance. 229 00:07:58,880 --> 00:08:00,880 And I don't think there are any easy answers. 230 00:08:00,880 --> 00:08:02,840 But that's why these conversations are so important. 231 00:08:02,840 --> 00:08:05,520 We have to start asking these tough questions now 232 00:08:05,520 --> 00:08:07,280 so we can shape the future of art 233 00:08:07,280 --> 00:08:09,280 in a way that feels right, you know? 234 00:08:09,280 --> 00:08:10,120 Absolutely. 235 00:08:10,120 --> 00:08:12,280 So it sounds like we have these two contrasted perspectives, 236 00:08:12,280 --> 00:08:13,280 right? 237 00:08:13,280 --> 00:08:16,320 On the one hand, there's this huge potential for AI 238 00:08:16,320 --> 00:08:18,600 to push the boundaries of art 239 00:08:18,600 --> 00:08:21,040 and maybe even create entirely new forms of expression 240 00:08:21,040 --> 00:08:22,520 that we can't even imagine yet. 241 00:08:22,520 --> 00:08:25,040 And on the other hand, there are these very real feels 242 00:08:25,040 --> 00:08:28,200 about what AI could mean for human creativity jobs 243 00:08:28,200 --> 00:08:31,280 and our ability to even connect with each other through art. 244 00:08:31,280 --> 00:08:33,640 It's almost like we're standing at a crossroads. 245 00:08:33,640 --> 00:08:35,480 And we have to decide which path we want to take. 246 00:08:35,480 --> 00:08:37,880 And there's no guarantee that we're going to get it right. 247 00:08:37,880 --> 00:08:39,520 But you know, the choices we make now 248 00:08:39,520 --> 00:08:41,840 are going to have a huge impact on the future of art 249 00:08:41,840 --> 00:08:43,800 and the role that it plays in our lives. 250 00:08:43,800 --> 00:08:47,480 So what does this all mean for us, the audience, 251 00:08:47,480 --> 00:08:50,880 the people who actually experience and engage with art? 252 00:08:50,880 --> 00:08:53,120 Well, I think the most important thing is to stay informed, 253 00:08:53,120 --> 00:08:56,120 be critical, and keep asking questions. 254 00:08:56,120 --> 00:08:59,160 Don't just passively consume whatever is being created. 255 00:08:59,160 --> 00:09:01,480 Think about where it came from, how it was made, 256 00:09:01,480 --> 00:09:03,440 and what kind of impact it might be having 257 00:09:03,440 --> 00:09:05,000 on the world around you. 258 00:09:05,000 --> 00:09:07,080 So it's not just about appreciating the art itself, 259 00:09:07,080 --> 00:09:10,640 but understanding the context in which it was created. 260 00:09:10,640 --> 00:09:11,560 Exactly. 261 00:09:11,560 --> 00:09:13,880 And that context is becoming more and more complex 262 00:09:13,880 --> 00:09:15,960 as AI plays a larger role. 263 00:09:15,960 --> 00:09:18,280 We have to be aware of the potential downsides, 264 00:09:18,280 --> 00:09:21,480 but we also have to be open to the possibilities. 265 00:09:21,480 --> 00:09:23,680 It's like we're all part of this big experiment, 266 00:09:23,680 --> 00:09:25,440 and we're kind of figuring it out as we go. 267 00:09:25,440 --> 00:09:26,160 Yeah. 268 00:09:26,160 --> 00:09:27,720 And that's exciting in a way, right? 269 00:09:27,720 --> 00:09:29,800 I mean, who knows what the future holds for art? 270 00:09:29,800 --> 00:09:31,960 Maybe AI will help us create things 271 00:09:31,960 --> 00:09:33,960 that we can't even imagine right now. 272 00:09:33,960 --> 00:09:35,920 Or maybe it'll lead us down a path that we end up 273 00:09:35,920 --> 00:09:36,840 regretting. 274 00:09:36,840 --> 00:09:38,320 It's really up to us to decide. 275 00:09:38,320 --> 00:09:40,480 This has been such a thought-provoking deep dive. 276 00:09:40,480 --> 00:09:42,600 We've covered so much from trying 277 00:09:42,600 --> 00:09:46,600 to define what generative AI is to thinking about how it might 278 00:09:46,600 --> 00:09:48,880 impact film, music, dance even. 279 00:09:48,880 --> 00:09:49,120 Yeah. 280 00:09:49,120 --> 00:09:52,160 And we've really gotten into some pretty deep questions. 281 00:09:52,160 --> 00:09:55,640 Like, is AI going to be this awesome creative partner, 282 00:09:55,640 --> 00:09:58,400 or will it push human artists out completely? 283 00:09:58,400 --> 00:10:00,000 And can it even really be creative, 284 00:10:00,000 --> 00:10:03,400 or is it always going to be limited by the data it learns 285 00:10:03,400 --> 00:10:04,120 from? 286 00:10:04,120 --> 00:10:05,400 That's a lot to think about. 287 00:10:05,400 --> 00:10:07,560 I think what really stays with me is this idea 288 00:10:07,560 --> 00:10:11,400 that AI might end up putting profits ahead of artistic vision. 289 00:10:11,400 --> 00:10:13,480 Like, are we just going to see studios churning out 290 00:10:13,480 --> 00:10:16,320 endless sequels and remakes because it's cheaper and faster? 291 00:10:16,320 --> 00:10:17,600 I think it's a valid concern. 292 00:10:17,600 --> 00:10:20,120 But on the other hand, AI could also give more people 293 00:10:20,120 --> 00:10:21,880 a chance to create art. 294 00:10:21,880 --> 00:10:24,240 People who might not have had the resources or the training 295 00:10:24,240 --> 00:10:24,880 before. 296 00:10:24,880 --> 00:10:27,400 Imagine if anyone could make their own music or direct 297 00:10:27,400 --> 00:10:29,600 a movie using AI tools. 298 00:10:29,600 --> 00:10:30,960 That could be pretty amazing. 299 00:10:30,960 --> 00:10:31,920 I know, right? 300 00:10:31,920 --> 00:10:33,360 But then we have this whole other question 301 00:10:33,360 --> 00:10:34,600 about bio-adaptive media. 302 00:10:34,600 --> 00:10:37,520 And if it's going to isolate us in these personalized 303 00:10:37,520 --> 00:10:40,000 bubbles of content, are we even going 304 00:10:40,000 --> 00:10:41,840 to be able to talk about art anymore 305 00:10:41,840 --> 00:10:44,400 if everyone's experiencing it in their own little world? 306 00:10:44,400 --> 00:10:45,400 It really makes you think. 307 00:10:45,400 --> 00:10:48,120 And it's so interesting to compare that with Bayman's point 308 00:10:48,120 --> 00:10:50,120 about losing shared experiences. 309 00:10:50,120 --> 00:10:55,240 And maybe the key is finding that balance between personalization 310 00:10:55,240 --> 00:10:59,320 and those things, those universal themes that connect us all 311 00:10:59,320 --> 00:11:00,320 as humans. 312 00:11:00,320 --> 00:11:01,080 I think that's it. 313 00:11:01,080 --> 00:11:04,520 It's all about finding that sweet spot where AI can help us 314 00:11:04,520 --> 00:11:07,960 be more creative and expand what's possible without losing 315 00:11:07,960 --> 00:11:11,480 that human element that makes art so special. 316 00:11:11,480 --> 00:11:12,000 Absolutely. 317 00:11:12,000 --> 00:11:14,160 And that actually brings us to our final thought, something 318 00:11:14,160 --> 00:11:16,760 we want to leave you with as you keep exploring this topic. 319 00:11:16,760 --> 00:11:17,640 OK, let's hear it. 320 00:11:17,640 --> 00:11:20,440 Imagine that AI gets so advanced that it can perfectly 321 00:11:20,440 --> 00:11:22,720 copy the style of any artist. 322 00:11:22,720 --> 00:11:25,120 Like, let's say your favorite musician or painter 323 00:11:25,120 --> 00:11:27,320 could be basically cloned by AI. 324 00:11:27,320 --> 00:11:28,240 OK, I'm following you. 325 00:11:28,240 --> 00:11:28,740 Yeah. 326 00:11:28,740 --> 00:11:32,760 And now imagine this AI makes a brand new piece of art. 327 00:11:32,760 --> 00:11:35,280 And it's impossible to tell the difference between that 328 00:11:35,280 --> 00:11:37,600 and something the artist made themself. 329 00:11:37,600 --> 00:11:39,560 Would you value it the same way? 330 00:11:39,560 --> 00:11:41,240 Would it make you feel the same way? 331 00:11:41,240 --> 00:11:44,440 Would it feel like you were really experiencing the artist's 332 00:11:44,440 --> 00:11:47,280 vision, or would it feel like something was missing? 333 00:11:47,280 --> 00:11:50,240 That is a really tough question. 334 00:11:50,240 --> 00:11:53,480 And you know there's no right or wrong answer, 335 00:11:53,480 --> 00:11:55,800 but it makes you stop and think about what really 336 00:11:55,800 --> 00:11:57,880 matters to us when we experience art. 337 00:11:57,880 --> 00:11:58,280 Right. 338 00:11:58,280 --> 00:12:00,720 Is it just the technical skill or the style? 339 00:12:00,720 --> 00:12:02,160 Or is it something deeper, something 340 00:12:02,160 --> 00:12:04,760 that connects us to the artist as a human being? 341 00:12:04,760 --> 00:12:07,560 Their experiences, their struggles, their everything. 342 00:12:07,560 --> 00:12:09,800 And if that human element is missing, 343 00:12:09,800 --> 00:12:11,840 does the art lose something really important? 344 00:12:11,840 --> 00:12:13,840 Does it become more like a product 345 00:12:13,840 --> 00:12:15,960 than a real expression of the human spirit? 346 00:12:15,960 --> 00:12:16,960 I don't know. 347 00:12:16,960 --> 00:12:18,720 Those are some big questions that we're all 348 00:12:18,720 --> 00:12:21,240 going to have to figure out as AI becomes a bigger part 349 00:12:21,240 --> 00:12:23,360 of the art we make and experience. 350 00:12:23,360 --> 00:12:25,040 There's no easy answers, and no one 351 00:12:25,040 --> 00:12:26,240 knows what the future holds. 352 00:12:26,240 --> 00:12:28,360 But one thing is for sure the future of art 353 00:12:28,360 --> 00:12:29,800 is being shaped right now. 354 00:12:29,800 --> 00:12:32,360 And the choices we make, the questions we ask, 355 00:12:32,360 --> 00:12:35,120 the conversations we have, they all matter. 356 00:12:35,120 --> 00:12:39,600 So stay curious, stay engaged, and keep thinking critically. 357 00:12:39,600 --> 00:12:41,320 Thanks for joining us on this deep dive. 358 00:12:41,320 --> 00:13:01,080 We'll see you next time.