1 00:00:00,000 --> 00:00:04,200 Okay, so imagine like all the energy a whole country needs, 2 00:00:04,200 --> 00:00:06,600 you know, like the Netherlands or Sweden. 3 00:00:06,600 --> 00:00:07,640 Mm-hmm. 4 00:00:07,640 --> 00:00:10,640 Well, get this, by 2027, AI alone 5 00:00:10,640 --> 00:00:12,480 could be using that much electricity. 6 00:00:12,480 --> 00:00:13,920 Wow. 7 00:00:13,920 --> 00:00:16,040 Yeah, so it's a bit of a puzzle, right? 8 00:00:16,040 --> 00:00:19,040 We talk about AI being this climate hero. 9 00:00:19,040 --> 00:00:19,920 Yeah. 10 00:00:19,920 --> 00:00:21,720 But at the same time, 11 00:00:21,720 --> 00:00:24,520 it might be like the start of a whole new energy crisis. 12 00:00:24,520 --> 00:00:28,200 Yeah, it really is a fascinating paradox, 13 00:00:28,200 --> 00:00:31,360 especially when you think about how big tech companies, 14 00:00:31,360 --> 00:00:34,240 the ones who've been all about renewable energy, you know, 15 00:00:34,240 --> 00:00:36,600 they're now looking at something completely different 16 00:00:36,600 --> 00:00:40,560 to keep up with AI's, you know, hunger for energy. 17 00:00:40,560 --> 00:00:43,280 And that something is nuclear power. 18 00:00:43,280 --> 00:00:44,280 Mm-hmm. 19 00:00:44,280 --> 00:00:45,880 It's a twist I don't think anybody saw coming. 20 00:00:45,880 --> 00:00:46,880 That's pretty wild. 21 00:00:46,880 --> 00:00:48,480 Google's partnering up with this company called 22 00:00:48,480 --> 00:00:52,320 Kairos Power to get energy from these small modular reactors. 23 00:00:52,320 --> 00:00:53,120 Yeah. 24 00:00:53,120 --> 00:00:53,920 SMRs, they call them. 25 00:00:53,920 --> 00:00:54,920 SMRs, yeah. 26 00:00:54,920 --> 00:00:57,160 And their goal is to have them up and running by 2030. 27 00:00:57,160 --> 00:00:58,160 Okay. 28 00:00:58,160 --> 00:00:59,560 And it's not just them. 29 00:00:59,560 --> 00:01:03,000 Amazon is investing in SMRs too over in Washington state. 30 00:01:03,000 --> 00:01:04,120 And then there's Microsoft. 31 00:01:04,120 --> 00:01:05,760 They're actually reviving a unit 32 00:01:05,760 --> 00:01:07,880 at the old Three Mile Island plant. 33 00:01:07,880 --> 00:01:08,720 Wow. 34 00:01:08,720 --> 00:01:10,200 Yeah, talk about a comeback story. 35 00:01:10,200 --> 00:01:11,000 Really? 36 00:01:11,000 --> 00:01:12,920 But to really understand this shift, 37 00:01:12,920 --> 00:01:16,440 you have to think about what's causing this huge need for energy. 38 00:01:16,440 --> 00:01:16,880 Yeah. 39 00:01:16,880 --> 00:01:19,520 And it's these super complex AI models. 40 00:01:19,520 --> 00:01:19,800 Okay. 41 00:01:19,800 --> 00:01:23,000 Specifically, large language models, LLMs. 42 00:01:23,000 --> 00:01:24,000 Right, right. 43 00:01:24,000 --> 00:01:26,440 They're the brains behind things like chatbots, 44 00:01:26,440 --> 00:01:27,840 which you've probably used recently. 45 00:01:27,840 --> 00:01:29,280 Oh yeah, absolutely. 46 00:01:29,280 --> 00:01:32,400 I feel like I'm talking to a chatbot every other day now. 47 00:01:32,400 --> 00:01:33,120 Exactly. 48 00:01:33,120 --> 00:01:35,080 Ordering food, getting customer service. 49 00:01:35,080 --> 00:01:35,680 Yeah. 50 00:01:35,680 --> 00:01:37,280 Even just messing around online. 51 00:01:37,280 --> 00:01:37,760 Exactly. 52 00:01:37,760 --> 00:01:40,080 And every single one of those interactions, 53 00:01:40,080 --> 00:01:44,320 there's an LLM somewhere crunching data. 54 00:01:44,320 --> 00:01:44,840 Right. 55 00:01:44,840 --> 00:01:46,040 And using up energy. 56 00:01:46,040 --> 00:01:48,040 So they're really power hungry, these LLMs. 57 00:01:48,040 --> 00:01:49,920 These models are incredibly powerful. 58 00:01:49,920 --> 00:01:50,280 Yeah. 59 00:01:50,280 --> 00:01:52,320 But yeah, that power comes at a cost. 60 00:01:52,320 --> 00:01:54,920 So that's why big tech is looking at nuclear power, 61 00:01:54,920 --> 00:02:00,200 specifically these SMRs, as the solution to this energy problem. 62 00:02:00,200 --> 00:02:02,200 Well, in a way, yes. 63 00:02:02,200 --> 00:02:06,680 They see SMRs as a possible bridge solution. 64 00:02:06,680 --> 00:02:10,920 So the idea is they can give reliable carbon-free power, 65 00:02:10,920 --> 00:02:13,720 that always on energy supply we need. 66 00:02:13,720 --> 00:02:14,240 Right. 67 00:02:14,240 --> 00:02:17,080 And they might actually be quicker to get up and running 68 00:02:17,080 --> 00:02:19,080 than big renewable energy projects. 69 00:02:19,080 --> 00:02:20,120 Like what kind of projects? 70 00:02:20,120 --> 00:02:22,840 Like massive solar farms or wind farms. 71 00:02:22,840 --> 00:02:28,120 OK, so that's the why behind this sort of nuclear comeback. 72 00:02:28,120 --> 00:02:33,000 But the big question is, is it really the right move? 73 00:02:33,000 --> 00:02:35,640 I mean, nuclear energy has always been kind of controversial. 74 00:02:35,640 --> 00:02:36,440 Oh, definitely. 75 00:02:36,440 --> 00:02:39,800 There are strong arguments both for and against it. 76 00:02:39,800 --> 00:02:42,320 I mean, on the one hand, you have those benefits 77 00:02:42,320 --> 00:02:43,120 we just talked about. 78 00:02:43,120 --> 00:02:44,960 No greenhouse gases when it's running, 79 00:02:44,960 --> 00:02:47,880 a smaller footprint than those traditional plants. 80 00:02:47,880 --> 00:02:52,200 And maybe even the potential to help revitalize communities 81 00:02:52,200 --> 00:02:55,800 near old power plants. 82 00:02:55,800 --> 00:02:56,920 Oh, interesting. 83 00:02:56,920 --> 00:02:57,480 Think about it. 84 00:02:57,480 --> 00:03:00,600 Jobs, investment, new life for areas 85 00:03:00,600 --> 00:03:01,600 that have been struggling. 86 00:03:01,600 --> 00:03:02,400 Now that makes sense. 87 00:03:02,400 --> 00:03:02,800 Yeah. 88 00:03:02,800 --> 00:03:04,760 Those are some pretty compelling arguments. 89 00:03:04,760 --> 00:03:06,800 But then there's the other side of things, right? 90 00:03:06,800 --> 00:03:07,320 Of course. 91 00:03:07,320 --> 00:03:09,920 And that's where you get into those concerns about safety. 92 00:03:09,920 --> 00:03:12,840 The whole issue of long-term waste disposal, 93 00:03:12,840 --> 00:03:16,560 and just how the public feels about nuclear power 94 00:03:16,560 --> 00:03:17,360 in general. 95 00:03:17,360 --> 00:03:17,880 Yeah, right. 96 00:03:17,880 --> 00:03:19,160 There's like a perception issue. 97 00:03:19,160 --> 00:03:19,640 Yeah. 98 00:03:19,640 --> 00:03:22,640 And then we can't forget about possible cost overruns 99 00:03:22,640 --> 00:03:26,320 and those complicated regulatory hurdles that 100 00:03:26,320 --> 00:03:28,760 come with any new nuclear project. 101 00:03:28,760 --> 00:03:29,200 Right. 102 00:03:29,200 --> 00:03:30,640 It's never straightforward, is it? 103 00:03:30,640 --> 00:03:33,040 And SMRs, they're still a pretty new technology. 104 00:03:33,040 --> 00:03:34,960 So there's still a lot of unknowns. 105 00:03:34,960 --> 00:03:38,360 It's like we're weighing this shiny new solution 106 00:03:38,360 --> 00:03:41,640 with a lot of potential against all the baggage 107 00:03:41,640 --> 00:03:44,040 that nuclear power carries with it. 108 00:03:44,040 --> 00:03:45,400 It's a tough call for sure. 109 00:03:45,400 --> 00:03:45,900 It is. 110 00:03:45,900 --> 00:03:48,760 It really shows just how complicated all this is. 111 00:03:48,760 --> 00:03:50,040 And it makes you wonder, are there 112 00:03:50,040 --> 00:03:52,200 other ways to deal with this? 113 00:03:52,200 --> 00:03:55,240 Things we could be trying that don't involve building even 114 00:03:55,240 --> 00:03:56,280 more power plants. 115 00:03:56,280 --> 00:03:57,720 Right, nuclear or otherwise. 116 00:03:57,720 --> 00:03:58,440 Yeah, exactly. 117 00:03:58,440 --> 00:03:59,760 It can't just be about generating 118 00:03:59,760 --> 00:04:01,160 more and more electricity, right? 119 00:04:01,160 --> 00:04:01,640 Right. 120 00:04:01,640 --> 00:04:04,360 What about making AI itself more energy efficient? 121 00:04:04,360 --> 00:04:05,520 Is that even a possibility? 122 00:04:05,520 --> 00:04:06,760 Oh, absolutely. 123 00:04:06,760 --> 00:04:08,800 There's a ton of research happening right now 124 00:04:08,800 --> 00:04:10,320 on what they call green AI. 125 00:04:10,320 --> 00:04:11,120 Green AI, OK. 126 00:04:11,120 --> 00:04:15,040 Yeah, it's kind of like designing a car engine 127 00:04:15,040 --> 00:04:16,600 to use less gas. 128 00:04:16,600 --> 00:04:17,520 OK, makes sense. 129 00:04:17,520 --> 00:04:19,400 Instead of just guzzling it, it's 130 00:04:19,400 --> 00:04:23,560 about coming up with algorithms and hardware for AI that just 131 00:04:23,560 --> 00:04:25,080 aren't as energy intensive. 132 00:04:25,080 --> 00:04:28,520 So instead of focusing on how to make more energy 133 00:04:28,520 --> 00:04:30,400 to feed these models, we're trying 134 00:04:30,400 --> 00:04:32,160 to teach them to be less hungry. 135 00:04:32,160 --> 00:04:32,960 Exactly. 136 00:04:32,960 --> 00:04:33,480 OK. 137 00:04:33,480 --> 00:04:36,680 If we can train AI to recognize patterns 138 00:04:36,680 --> 00:04:40,880 and optimize complex systems, think like traffic flow 139 00:04:40,880 --> 00:04:43,760 in a city or even global supply chains, 140 00:04:43,760 --> 00:04:46,960 well, we should be able to use that same idea to make AI 141 00:04:46,960 --> 00:04:48,560 itself more sustainable. 142 00:04:48,560 --> 00:04:50,600 OK, I'm starting to see the bigger picture now. 143 00:04:50,600 --> 00:04:51,100 Yeah. 144 00:04:51,100 --> 00:04:55,280 It's not just about swapping out fossil fuels for nuclear. 145 00:04:55,280 --> 00:04:57,080 It's about taking a step back and thinking 146 00:04:57,080 --> 00:04:59,000 about how we're designing and even deploying 147 00:04:59,000 --> 00:05:00,600 AI from the very beginning. 148 00:05:00,600 --> 00:05:02,480 And that means some tough decisions. 149 00:05:02,480 --> 00:05:03,360 Like what? 150 00:05:03,360 --> 00:05:06,160 Well, we have to ask ourselves, are there some AI applications 151 00:05:06,160 --> 00:05:07,480 that we just don't need? 152 00:05:07,480 --> 00:05:08,080 Oh, interesting. 153 00:05:08,080 --> 00:05:12,920 Do we really need AI to generate every single piece of content 154 00:05:12,920 --> 00:05:15,640 we see, or can we be a little more choosy? 155 00:05:15,640 --> 00:05:17,180 It's like that idea of digital sobriety 156 00:05:17,180 --> 00:05:18,560 we talked about earlier, right? 157 00:05:18,560 --> 00:05:22,360 It's like applying reduce, reuse, recycle 158 00:05:22,360 --> 00:05:23,800 to the digital world. 159 00:05:23,800 --> 00:05:24,400 Exactly. 160 00:05:24,400 --> 00:05:27,160 Digital sobriety is becoming more and more important 161 00:05:27,160 --> 00:05:30,520 as AI gets more everywhere. 162 00:05:30,520 --> 00:05:33,280 And it's not just about what we do as individuals. 163 00:05:33,280 --> 00:05:36,000 We need policymakers and regulators 164 00:05:36,000 --> 00:05:41,800 to step in and help create a more sustainable AI ecosystem. 165 00:05:41,800 --> 00:05:43,040 What would that look like? 166 00:05:43,040 --> 00:05:45,360 Well, imagine regulations that encourage companies 167 00:05:45,360 --> 00:05:49,080 to develop energy efficient AI, or even 168 00:05:49,080 --> 00:05:51,920 energy consumption limits for certain types of AI 169 00:05:51,920 --> 00:05:53,000 applications. 170 00:05:53,000 --> 00:05:54,800 Those are some pretty bold ideas. 171 00:05:54,800 --> 00:05:56,840 Feels like we're in uncharted territory. 172 00:05:56,840 --> 00:05:58,840 How do you even regulate something as complicated 173 00:05:58,840 --> 00:06:01,080 and fast changing as AI? 174 00:06:01,080 --> 00:06:02,440 It's a challenge, for sure. 175 00:06:02,440 --> 00:06:04,120 There are no easy answers. 176 00:06:04,120 --> 00:06:06,560 But that's what makes this whole conversation so interesting. 177 00:06:06,560 --> 00:06:09,040 We're dealing with really fundamental questions 178 00:06:09,040 --> 00:06:12,040 about the role of technology in society, 179 00:06:12,040 --> 00:06:15,440 the balance between innovation and sustainability, 180 00:06:15,440 --> 00:06:18,800 and even the ethical side of these increasingly powerful AI 181 00:06:18,800 --> 00:06:19,320 systems. 182 00:06:19,320 --> 00:06:21,080 And these aren't just abstract questions, right? 183 00:06:21,080 --> 00:06:22,580 They actually have real world effects. 184 00:06:22,580 --> 00:06:23,880 No, absolutely. 185 00:06:23,880 --> 00:06:27,080 The choices we make about AI and energy here, 186 00:06:27,080 --> 00:06:29,000 in the developed world, are going 187 00:06:29,000 --> 00:06:31,760 to have a ripple effect across the whole globe. 188 00:06:31,760 --> 00:06:32,840 It's a big responsibility. 189 00:06:32,840 --> 00:06:35,160 Think about developing countries where 190 00:06:35,160 --> 00:06:39,240 having reliable energy is already a huge problem. 191 00:06:39,240 --> 00:06:42,880 If AI becomes this massive energy hog, 192 00:06:42,880 --> 00:06:46,200 could it make those inequalities even worse? 193 00:06:46,200 --> 00:06:47,280 That's a good question. 194 00:06:47,280 --> 00:06:49,560 And create a digital divide? 195 00:06:49,560 --> 00:06:53,720 Could it actually hinder their progress instead of helping? 196 00:06:53,720 --> 00:06:56,440 It's almost like we're standing at a crossroads. 197 00:06:56,440 --> 00:06:59,000 We've got this incredible technology 198 00:06:59,000 --> 00:07:02,120 that could solve so many problems. 199 00:07:02,120 --> 00:07:06,000 But if we're not careful, it could just as easily 200 00:07:06,000 --> 00:07:07,960 create a whole new set of challenges. 201 00:07:07,960 --> 00:07:10,520 That's why these conversations are so important. 202 00:07:10,520 --> 00:07:12,240 We need to bring together experts 203 00:07:12,240 --> 00:07:14,200 from all different fields. 204 00:07:14,200 --> 00:07:14,700 Like who? 205 00:07:14,700 --> 00:07:18,920 Computer scientists, engineers, policymakers, ethicists, 206 00:07:18,920 --> 00:07:22,160 and of course, the public, to figure out 207 00:07:22,160 --> 00:07:26,960 how to move towards a more sustainable and fair AI future. 208 00:07:26,960 --> 00:07:28,720 It sounds like a pretty daunting task. 209 00:07:28,720 --> 00:07:29,220 Yeah. 210 00:07:29,220 --> 00:07:31,520 But also like an incredibly exciting one. 211 00:07:31,520 --> 00:07:32,680 Oh, absolutely. 212 00:07:32,680 --> 00:07:35,360 We're talking about shaping the future of technology 213 00:07:35,360 --> 00:07:36,600 and its impact on all of us. 214 00:07:36,600 --> 00:07:38,880 And it all comes back to that original question. 215 00:07:38,880 --> 00:07:40,680 The one about AI being a climate hero. 216 00:07:40,680 --> 00:07:41,180 Yeah. 217 00:07:41,180 --> 00:07:44,560 Can AI be a climate hero while also facing a potential energy 218 00:07:44,560 --> 00:07:45,360 crisis? 219 00:07:45,360 --> 00:07:46,200 Right. 220 00:07:46,200 --> 00:07:50,240 The answer, like with most things in life, is complicated. 221 00:07:50,240 --> 00:07:50,740 Yeah. 222 00:07:50,740 --> 00:07:52,040 There are no easy answers. 223 00:07:52,040 --> 00:07:53,820 But it's definitely clear that we 224 00:07:53,820 --> 00:07:56,400 need to be asking these hard questions 225 00:07:56,400 --> 00:07:59,640 and having these sometimes difficult conversations. 226 00:07:59,640 --> 00:08:01,120 Yeah, we can't just assume technology 227 00:08:01,120 --> 00:08:03,040 is going to fix everything without thinking 228 00:08:03,040 --> 00:08:04,640 about the possible downsides. 229 00:08:04,640 --> 00:08:06,560 And it's important to remember that technology 230 00:08:06,560 --> 00:08:08,240 is ultimately just a tool. 231 00:08:08,240 --> 00:08:09,000 It is. 232 00:08:09,000 --> 00:08:12,280 Like any tool, it can be used for good or for bad. 233 00:08:12,280 --> 00:08:15,520 It's up to us as a society to decide 234 00:08:15,520 --> 00:08:19,040 how we want to use this incredible power of AI. 235 00:08:19,040 --> 00:08:20,320 That's a great way to put it. 236 00:08:20,320 --> 00:08:22,200 It's a reminder that we're not just 237 00:08:22,200 --> 00:08:25,040 watching this technological revolution happen. 238 00:08:25,040 --> 00:08:27,720 We have a responsibility to shape it. 239 00:08:27,720 --> 00:08:28,280 Right. 240 00:08:28,280 --> 00:08:31,160 To steer it in a direction that benefits everyone. 241 00:08:31,160 --> 00:08:32,040 Yeah. 242 00:08:32,040 --> 00:08:34,560 So where do we go from here? 243 00:08:34,560 --> 00:08:36,720 What are some real steps we can take 244 00:08:36,720 --> 00:08:40,080 to make AI more sustainable and make 245 00:08:40,080 --> 00:08:41,520 sure it's being used for good? 246 00:08:41,520 --> 00:08:43,240 I think one of the most important things 247 00:08:43,240 --> 00:08:46,440 is pushing for more transparency from the companies that are 248 00:08:46,440 --> 00:08:48,680 actually developing and deploying AI. 249 00:08:48,680 --> 00:08:49,280 OK. 250 00:08:49,280 --> 00:08:52,280 We need to know how much energy these systems are using, 251 00:08:52,280 --> 00:08:53,720 where that energy is coming from, 252 00:08:53,720 --> 00:08:56,080 and what the real impact is on the environment. 253 00:08:56,080 --> 00:08:56,800 That makes sense. 254 00:08:56,800 --> 00:08:59,440 We need to be able to hold these companies accountable 255 00:08:59,440 --> 00:09:00,640 and see the whole picture. 256 00:09:00,640 --> 00:09:01,280 Exactly. 257 00:09:01,280 --> 00:09:03,160 And on a more individual level. 258 00:09:03,160 --> 00:09:05,760 We as consumers, we can make smarter choices 259 00:09:05,760 --> 00:09:07,200 about how we use AI. 260 00:09:07,200 --> 00:09:08,040 OK. 261 00:09:08,040 --> 00:09:10,000 We can ask ourselves, do I really 262 00:09:10,000 --> 00:09:13,400 need to use this AI-powered tool? 263 00:09:13,400 --> 00:09:17,960 Or is there a simpler, less energy-intensive way 264 00:09:17,960 --> 00:09:19,240 to get the same result? 265 00:09:19,240 --> 00:09:19,740 Yeah. 266 00:09:19,740 --> 00:09:21,440 It's like asking, do I really need to drive, 267 00:09:21,440 --> 00:09:22,600 or can I walk, or bike? 268 00:09:22,600 --> 00:09:23,360 Not exactly. 269 00:09:23,360 --> 00:09:25,840 It's about being more aware of the impact of our choices, 270 00:09:25,840 --> 00:09:26,640 even online. 271 00:09:26,640 --> 00:09:27,040 Yeah. 272 00:09:27,040 --> 00:09:28,720 But it goes even deeper than that, doesn't it? 273 00:09:28,720 --> 00:09:29,200 It does. 274 00:09:29,200 --> 00:09:29,700 OK. 275 00:09:29,700 --> 00:09:32,320 We can also be more thoughtful about the types 276 00:09:32,320 --> 00:09:34,960 of AI applications that we're supporting. 277 00:09:34,960 --> 00:09:37,560 So what do we want AI to be used for? 278 00:09:37,560 --> 00:09:38,080 Yeah. 279 00:09:38,080 --> 00:09:39,760 Do we want to invest in AI that's 280 00:09:39,760 --> 00:09:43,560 being used to optimize energy grids 281 00:09:43,560 --> 00:09:46,480 and come up with new renewable energy solutions? 282 00:09:46,480 --> 00:09:48,640 Or do we want AI that's mainly used for things 283 00:09:48,640 --> 00:09:50,240 like targeted advertising? 284 00:09:50,240 --> 00:09:53,000 It's about matching our actions with our values 285 00:09:53,000 --> 00:09:55,080 and supporting the kind of future we want to see. 286 00:09:55,080 --> 00:09:55,580 Right. 287 00:09:55,580 --> 00:09:57,320 But how do we actually get there? 288 00:09:57,320 --> 00:09:59,840 How do we get everyone on board with this vision? 289 00:09:59,840 --> 00:10:01,440 That's the million dollar question? 290 00:10:01,440 --> 00:10:04,400 Well, I think education and awareness are key. 291 00:10:04,400 --> 00:10:07,000 We need to make sure that everyone understands 292 00:10:07,000 --> 00:10:10,080 the potential benefits and the risks of AI 293 00:10:10,080 --> 00:10:12,680 and the big choices we're facing. 294 00:10:12,680 --> 00:10:17,080 It's about bringing AI out of the realm of SoFi. 295 00:10:17,080 --> 00:10:17,580 Yeah. 296 00:10:17,580 --> 00:10:19,500 And it is something that everyone understands. 297 00:10:19,500 --> 00:10:20,000 Right. 298 00:10:20,000 --> 00:10:22,160 And the education needs to start early. 299 00:10:22,160 --> 00:10:22,840 Oh, interesting. 300 00:10:22,840 --> 00:10:25,840 We should be teaching kids about AI in school, 301 00:10:25,840 --> 00:10:28,440 not just the technical stuff, but the ethical and social side 302 00:10:28,440 --> 00:10:29,120 of it, too. 303 00:10:29,120 --> 00:10:31,160 It's about giving them the tools 304 00:10:31,160 --> 00:10:33,840 to use this powerful technology responsibly. 305 00:10:33,840 --> 00:10:36,080 And it's about encouraging critical thinking 306 00:10:36,080 --> 00:10:37,640 and questioning. 307 00:10:37,640 --> 00:10:40,920 So not just accepting things at face value. 308 00:10:40,920 --> 00:10:43,120 We need to be asking those tough questions. 309 00:10:43,120 --> 00:10:43,640 Like what? 310 00:10:43,640 --> 00:10:46,320 About the real purpose of AI. 311 00:10:46,320 --> 00:10:48,640 Who is actually benefiting from it? 312 00:10:48,640 --> 00:10:50,240 And who might be hurt by it? 313 00:10:50,240 --> 00:10:52,560 It's about having a deeper conversation. 314 00:10:52,560 --> 00:10:53,480 Yeah. 315 00:10:53,480 --> 00:10:55,360 About the future we're creating with AI. 316 00:10:55,360 --> 00:10:57,480 A conversation that everyone's a part of. 317 00:10:57,480 --> 00:11:01,000 This has been a really eye-opening deep dive. 318 00:11:01,000 --> 00:11:04,440 We started talking about megawatts and data centers. 319 00:11:04,440 --> 00:11:07,600 And we ended up talking about philosophy 320 00:11:07,600 --> 00:11:08,880 in the future of humanity. 321 00:11:08,880 --> 00:11:09,880 It's true. 322 00:11:09,880 --> 00:11:11,480 AI really does make you think bigger. 323 00:11:11,480 --> 00:11:13,560 It reminds us that technology is never 324 00:11:13,560 --> 00:11:15,120 just about the technical stuff. 325 00:11:15,120 --> 00:11:15,600 Right. 326 00:11:15,600 --> 00:11:18,240 It's connected to our values, our social structures, 327 00:11:18,240 --> 00:11:19,880 how we see ourselves in the world. 328 00:11:19,880 --> 00:11:23,440 And this whole discussion about AI and nuclear power, 329 00:11:23,440 --> 00:11:26,680 it highlights how complicated our relationship with nature 330 00:11:26,680 --> 00:11:27,680 really is. 331 00:11:27,680 --> 00:11:28,400 It does. 332 00:11:28,400 --> 00:11:30,640 We're talking about using the power of the atom 333 00:11:30,640 --> 00:11:32,880 to fuel our digital creations. 334 00:11:32,880 --> 00:11:33,400 Yeah. 335 00:11:33,400 --> 00:11:36,120 It makes you realize how much power we have. 336 00:11:36,120 --> 00:11:38,840 And what could happen if we don't use it carefully? 337 00:11:38,840 --> 00:11:41,960 So who is ultimately responsible for making sure 338 00:11:41,960 --> 00:11:46,240 that AI is developed and used safely and ethically? 339 00:11:46,240 --> 00:11:49,440 Is it governments, companies, researchers? 340 00:11:49,440 --> 00:11:50,200 All of the above. 341 00:11:50,200 --> 00:11:51,320 That's a tough question. 342 00:11:51,320 --> 00:11:51,800 Yeah. 343 00:11:51,800 --> 00:11:52,880 There's no easy answer. 344 00:11:52,880 --> 00:11:54,480 But one thing's for sure. 345 00:11:54,480 --> 00:11:56,720 We can't just leave it up to the market. 346 00:11:56,720 --> 00:11:59,640 We need rules, ethical guidelines, some kind 347 00:11:59,640 --> 00:12:01,000 of checks and balances. 348 00:12:01,000 --> 00:12:02,200 To keep things in check. 349 00:12:02,200 --> 00:12:04,640 Yeah, to make sure AI is a force for good. 350 00:12:04,640 --> 00:12:09,040 It sounds like we need a new set of rules for the age of AI. 351 00:12:09,040 --> 00:12:09,680 I think so. 352 00:12:09,680 --> 00:12:14,040 Something that recognizes its potential, but also its risks. 353 00:12:14,040 --> 00:12:16,400 And then those rules, they need to be global. 354 00:12:16,400 --> 00:12:18,160 Yeah, because AI is a global thing. 355 00:12:18,160 --> 00:12:18,720 Exactly. 356 00:12:18,720 --> 00:12:19,640 It affects everyone. 357 00:12:19,640 --> 00:12:22,800 We have to find ways to work together across borders 358 00:12:22,800 --> 00:12:26,200 to make sure AI benefits all of us. 359 00:12:26,200 --> 00:12:28,560 This has been a really thought-provoking conversation. 360 00:12:28,560 --> 00:12:29,320 It has. 361 00:12:29,320 --> 00:12:32,000 It's clear that this isn't just about technology. 362 00:12:32,000 --> 00:12:33,480 It's about society. 363 00:12:33,480 --> 00:12:34,600 It's about philosophy. 364 00:12:34,600 --> 00:12:35,720 It's about us. 365 00:12:35,720 --> 00:12:39,720 It's about what it means to be human in this new world. 366 00:12:39,720 --> 00:12:43,040 Exactly, and that's what makes it so fascinating. 367 00:12:43,040 --> 00:12:46,720 So before we wrap up, I want to leave our listeners with this. 368 00:12:46,720 --> 00:12:49,760 Imagine a world where AI is being used 369 00:12:49,760 --> 00:12:53,240 to solve the climate crisis, to create a more 370 00:12:53,240 --> 00:12:57,480 fair and sustainable world, and to unlock our full potential 371 00:12:57,480 --> 00:12:58,320 as humans. 372 00:12:58,320 --> 00:12:59,040 I love that. 373 00:12:59,040 --> 00:13:02,400 That's the future we can create if we make the right choices 374 00:13:02,400 --> 00:13:03,160 today. 375 00:13:03,160 --> 00:13:07,160 And those choices start with awareness, education, 376 00:13:07,160 --> 00:13:07,960 and action. 377 00:13:07,960 --> 00:13:10,480 Right, it starts with asking those tough questions, 378 00:13:10,480 --> 00:13:12,920 challenging what we think we know, 379 00:13:12,920 --> 00:13:15,120 and expecting more from our leaders. 380 00:13:15,120 --> 00:13:16,560 And from ourselves. 381 00:13:16,560 --> 00:13:19,760 It starts with understanding that we have the power 382 00:13:19,760 --> 00:13:21,360 to shape the future of AI. 383 00:13:21,360 --> 00:13:22,680 It's not predetermined. 384 00:13:22,680 --> 00:13:23,520 It's up to us. 385 00:13:23,520 --> 00:13:24,320 Absolutely. 386 00:13:24,320 --> 00:13:26,120 Well, this has been an amazing conversation. 387 00:13:26,120 --> 00:13:26,840 It has. 388 00:13:26,840 --> 00:13:28,720 Thank you for joining us for this deep dive. 389 00:13:28,720 --> 00:13:29,840 Thanks for having me. 390 00:13:29,840 --> 00:13:33,160 And until next time, keep exploring, 391 00:13:33,160 --> 00:13:59,640 keep asking those questions, and keep diving deep.