1 00:00:00,000 --> 00:00:02,360 Welcome to another deep dive. 2 00:00:02,360 --> 00:00:04,840 Today we're tackling a topic that honestly, 3 00:00:04,840 --> 00:00:08,760 I feel like is dominating the headlines, AI. 4 00:00:08,760 --> 00:00:10,680 It really is everywhere you look. 5 00:00:10,680 --> 00:00:13,360 It feels like every day there's a new article 6 00:00:13,360 --> 00:00:15,480 about some AI breakthrough 7 00:00:15,480 --> 00:00:17,880 or some wild prediction about the future. 8 00:00:17,880 --> 00:00:19,520 Right, like it's changing everything. 9 00:00:19,520 --> 00:00:21,360 And you know what's interesting? 10 00:00:21,360 --> 00:00:23,120 It's not science fiction anymore. 11 00:00:23,120 --> 00:00:23,960 Oh, totally. 12 00:00:23,960 --> 00:00:25,840 It's happening now, like right now. 13 00:00:25,840 --> 00:00:26,960 Exactly, we're not talking about 14 00:00:26,960 --> 00:00:28,240 some distant future either. 15 00:00:28,240 --> 00:00:30,160 No, no, this is happening like right now. 16 00:00:30,160 --> 00:00:31,520 This is about the next three years. 17 00:00:31,520 --> 00:00:34,240 Yeah, your job, your life, it's all on the table. 18 00:00:34,240 --> 00:00:36,680 It really feels like everything is up for grabs. 19 00:00:36,680 --> 00:00:38,640 Luckily you shared this book with me. 20 00:00:38,640 --> 00:00:39,480 Oh yeah. 21 00:00:39,480 --> 00:00:40,560 The three year warning. 22 00:00:40,560 --> 00:00:43,920 What everyone needs to know about AI's next big leap. 23 00:00:43,920 --> 00:00:46,160 It literally just came out like last week. 24 00:00:46,160 --> 00:00:47,080 Hot off the press. 25 00:00:47,080 --> 00:00:49,040 So we're kind of diving in together, 26 00:00:49,040 --> 00:00:50,440 figuring out what this all means. 27 00:00:50,440 --> 00:00:52,000 I am so ready for this deep dive. 28 00:00:52,000 --> 00:00:53,480 Me too. 29 00:00:53,480 --> 00:00:56,480 So the book starts off talking about this next big leap. 30 00:00:56,480 --> 00:00:57,440 Is this just hype? 31 00:00:57,440 --> 00:00:59,000 I mean, we've heard it all before, right? 32 00:00:59,000 --> 00:01:00,880 Right, but this time it does feel different. 33 00:01:00,880 --> 00:01:02,120 Yeah, why is that? 34 00:01:02,120 --> 00:01:05,240 I think, well, you know those old sci-fi movies 35 00:01:05,240 --> 00:01:06,960 about robots taking over the world. 36 00:01:06,960 --> 00:01:08,120 Oh yeah, totally. 37 00:01:08,120 --> 00:01:09,960 It always seems so far-fetched. 38 00:01:09,960 --> 00:01:10,800 Yeah. 39 00:01:10,800 --> 00:01:14,800 But this book argues that we're actually on the verge 40 00:01:14,800 --> 00:01:17,680 of AI becoming so powerful, so quickly. 41 00:01:17,680 --> 00:01:18,520 Oh wow. 42 00:01:18,520 --> 00:01:20,680 That it really could reshape our reality. 43 00:01:20,680 --> 00:01:21,520 Like fundamentally. 44 00:01:21,520 --> 00:01:23,600 Okay, I'm already a little freaked out, 45 00:01:23,600 --> 00:01:25,520 but also kind of excited. 46 00:01:25,520 --> 00:01:28,480 But like what does this actually mean for me? 47 00:01:28,480 --> 00:01:31,320 Will a robot steal my job tomorrow? 48 00:01:31,320 --> 00:01:32,600 Well, maybe not tomorrow. 49 00:01:32,600 --> 00:01:34,840 But the book goes into all that. 50 00:01:34,840 --> 00:01:36,520 It starts with a quick history lesson. 51 00:01:36,520 --> 00:01:37,360 Oh yeah. 52 00:01:37,360 --> 00:01:42,120 It reminds us that AI has had these like boom and bust cycles. 53 00:01:42,120 --> 00:01:44,080 All this hype and then disappointment. 54 00:01:44,080 --> 00:01:46,600 I feel like self-driving cars were kind of the poster child 55 00:01:46,600 --> 00:01:47,440 for that. 56 00:01:47,440 --> 00:01:48,840 Totally, like everyone was convinced 57 00:01:48,840 --> 00:01:51,520 we'd all be in self-driving cars by like 2020. 58 00:01:51,520 --> 00:01:52,360 And here we are. 59 00:01:52,360 --> 00:01:54,600 So what makes this time different? 60 00:01:54,600 --> 00:01:57,360 Well, I think the book argues that this time it's different 61 00:01:57,360 --> 00:01:58,600 for a few reasons. 62 00:01:58,600 --> 00:02:00,800 One being that we're in the 21st century. 63 00:02:00,800 --> 00:02:02,640 We have all this computing power now. 64 00:02:02,640 --> 00:02:03,480 That's true. 65 00:02:03,480 --> 00:02:05,240 Like the computers we have in our pockets 66 00:02:05,240 --> 00:02:07,640 are more powerful than like super computers 67 00:02:07,640 --> 00:02:08,680 from a few decades ago. 68 00:02:08,680 --> 00:02:09,520 Exactly. 69 00:02:09,520 --> 00:02:13,680 And on top of that, we are generating mountains of data 70 00:02:13,680 --> 00:02:14,600 every single day. 71 00:02:14,600 --> 00:02:15,720 Oh my gosh. 72 00:02:15,720 --> 00:02:20,120 And that is like the perfect recipe for AI. 73 00:02:20,120 --> 00:02:22,080 It's like giving it all the ingredients it needs 74 00:02:22,080 --> 00:02:23,000 to actually take off. 75 00:02:23,000 --> 00:02:24,640 So it's like the perfect storm. 76 00:02:24,640 --> 00:02:25,480 Yeah, exactly. 77 00:02:25,480 --> 00:02:29,080 And then the book mentions this term, deep learning. 78 00:02:29,080 --> 00:02:30,920 I feel like I've heard that thrown around a lot. 79 00:02:30,920 --> 00:02:32,160 What exactly does that mean? 80 00:02:32,160 --> 00:02:37,280 So deep learning is this like revolutionary approach to AI. 81 00:02:37,280 --> 00:02:38,640 And it's already all around us. 82 00:02:38,640 --> 00:02:39,320 Yeah. 83 00:02:39,320 --> 00:02:39,840 Really? 84 00:02:39,840 --> 00:02:40,360 Yeah. 85 00:02:40,360 --> 00:02:42,680 Think about when you tag your friends in photos 86 00:02:42,680 --> 00:02:43,560 on social media. 87 00:02:43,560 --> 00:02:44,240 Oh yeah. 88 00:02:44,240 --> 00:02:46,240 That's deep learning in action. 89 00:02:46,240 --> 00:02:47,000 Oh wow. 90 00:02:47,000 --> 00:02:50,800 Basically, instead of programming AI with specific rules, 91 00:02:50,800 --> 00:02:52,840 we're teaching it to learn from data. 92 00:02:52,840 --> 00:02:53,360 Yeah. 93 00:02:53,360 --> 00:02:54,880 Like massive amounts of data. 94 00:02:54,880 --> 00:02:57,200 So it's like teaching a computer to think for itself almost. 95 00:02:57,200 --> 00:02:57,680 Yeah. 96 00:02:57,680 --> 00:03:00,080 It's like you can see patterns and then make decisions. 97 00:03:00,080 --> 00:03:01,440 Oh, that's kind of scary. 98 00:03:01,440 --> 00:03:02,040 It is a little bit. 99 00:03:02,040 --> 00:03:03,600 Yeah, but it's also super fascinating. 100 00:03:03,600 --> 00:03:06,840 So AI is not just about robots becoming more efficient. 101 00:03:06,840 --> 00:03:10,600 It's about them becoming more like intelligent, like us. 102 00:03:10,600 --> 00:03:11,360 Right. 103 00:03:11,360 --> 00:03:13,000 It's almost like they're developing their own kind 104 00:03:13,000 --> 00:03:13,800 of intelligence. 105 00:03:13,800 --> 00:03:15,800 OK, now hold on, because this is where I think the book 106 00:03:15,800 --> 00:03:17,680 throws in another curveball. 107 00:03:17,680 --> 00:03:19,000 Quantum computing. 108 00:03:19,000 --> 00:03:21,120 Is this something we should even be talking about? 109 00:03:21,120 --> 00:03:22,360 Oh, absolutely. 110 00:03:22,360 --> 00:03:24,320 Because it is on the horizon. 111 00:03:24,320 --> 00:03:25,800 So it's not just science fiction. 112 00:03:25,800 --> 00:03:27,880 Nope, they're actually building these things. 113 00:03:27,880 --> 00:03:29,640 OK, so what does that mean for AI? 114 00:03:29,640 --> 00:03:32,680 Like how does quantum computing change things? 115 00:03:32,680 --> 00:03:38,800 So imagine giving AI this like massive turbo boost. 116 00:03:38,800 --> 00:03:40,360 That's what quantum computing could do. 117 00:03:40,360 --> 00:03:40,880 Whoa. 118 00:03:40,880 --> 00:03:42,880 Like it could completely revolutionize 119 00:03:42,880 --> 00:03:44,160 what AI is capable of. 120 00:03:44,160 --> 00:03:46,320 So AI is already getting smarter. 121 00:03:46,320 --> 00:03:49,480 And now with quantum computing, it's going to be even faster. 122 00:03:49,480 --> 00:03:51,840 And capable of doing things we can't even imagine right now. 123 00:03:51,840 --> 00:03:52,760 Yeah, like what? 124 00:03:52,760 --> 00:03:53,560 Give me an example. 125 00:03:53,560 --> 00:03:56,400 The book uses this term, automation cliff, 126 00:03:56,400 --> 00:03:58,800 to describe what's coming in 2025. 127 00:03:58,800 --> 00:04:00,000 That sounds pretty intense. 128 00:04:00,000 --> 00:04:01,280 What does that even mean? 129 00:04:01,280 --> 00:04:01,920 Yeah, yeah. 130 00:04:01,920 --> 00:04:05,760 So the automation cliff is this point where AI becomes so 131 00:04:05,760 --> 00:04:11,240 capable that it starts to automate jobs on a massive scale, 132 00:04:11,240 --> 00:04:12,760 like jobs that we thought were safe. 133 00:04:12,760 --> 00:04:15,680 OK, so like robots taking over, but for real this time. 134 00:04:15,680 --> 00:04:16,680 Basically, yeah. 135 00:04:16,680 --> 00:04:17,000 Yeah. 136 00:04:17,000 --> 00:04:19,720 The book gives this example of an architecture firm in Chicago. 137 00:04:19,720 --> 00:04:20,800 Oh, OK. 138 00:04:20,800 --> 00:04:23,160 They used AI to design a skyscraper. 139 00:04:23,160 --> 00:04:24,160 Whoa. 140 00:04:24,160 --> 00:04:25,320 In hours. 141 00:04:25,320 --> 00:04:27,080 Something that would take in months before. 142 00:04:27,080 --> 00:04:28,080 It's insane. 143 00:04:28,080 --> 00:04:28,400 Yeah. 144 00:04:28,400 --> 00:04:29,680 And it's just one example. 145 00:04:29,680 --> 00:04:32,200 The book argues that this is going to happen across industries. 146 00:04:32,200 --> 00:04:35,520 So if AI can design skyscrapers in hours, 147 00:04:35,520 --> 00:04:37,840 what jobs are left for us humans? 148 00:04:37,840 --> 00:04:39,440 Like seriously. 149 00:04:39,440 --> 00:04:40,280 It's a good question. 150 00:04:40,280 --> 00:04:44,040 And it's one that the book really forces us to confront. 151 00:04:44,040 --> 00:04:45,920 You know, like it's not about just learning 152 00:04:45,920 --> 00:04:47,800 one specific skill anymore. 153 00:04:47,800 --> 00:04:50,520 It's about thinking about the skills that AI can't replicate. 154 00:04:50,520 --> 00:04:51,240 Oh, OK. 155 00:04:51,240 --> 00:04:51,800 Like what? 156 00:04:51,800 --> 00:04:54,600 Things like creativity, emotional intelligence, 157 00:04:54,600 --> 00:04:55,960 complex problem solving. 158 00:04:55,960 --> 00:04:58,200 So like being able to think outside the box, 159 00:04:58,200 --> 00:04:59,960 connect with people on a human level. 160 00:04:59,960 --> 00:05:00,680 Exactly. 161 00:05:00,680 --> 00:05:02,680 Those are the skills that are going to be in high demand, 162 00:05:02,680 --> 00:05:04,880 because those are the things that AI just can't do. 163 00:05:04,880 --> 00:05:07,040 And you know, it's funny because those are the skills 164 00:05:07,040 --> 00:05:09,560 that we don't always prioritize, right? 165 00:05:09,560 --> 00:05:10,400 That's true. 166 00:05:10,400 --> 00:05:10,560 Yeah. 167 00:05:10,560 --> 00:05:13,640 Like in education, we often focus on like rope memorization 168 00:05:13,640 --> 00:05:14,560 and technical skills. 169 00:05:14,560 --> 00:05:15,760 Yeah, yeah. 170 00:05:15,760 --> 00:05:18,320 But those are the things that are actually easy to automate. 171 00:05:18,320 --> 00:05:21,040 So the book is basically saying we need to rethink 172 00:05:21,040 --> 00:05:23,240 how we educate ourselves and our kids, right? 173 00:05:23,240 --> 00:05:23,680 Absolutely. 174 00:05:23,680 --> 00:05:25,280 It's about lifelong learning. 175 00:05:25,280 --> 00:05:27,520 We need to be constantly updating our skills. 176 00:05:27,520 --> 00:05:29,280 So it's not about what you know now. 177 00:05:29,280 --> 00:05:31,880 It's about your ability to learn and adapt. 178 00:05:31,880 --> 00:05:32,680 Exactly. 179 00:05:32,680 --> 00:05:34,240 And that's true for businesses too. 180 00:05:34,240 --> 00:05:34,720 Yeah. 181 00:05:34,720 --> 00:05:35,560 Oh yeah, totally. 182 00:05:35,560 --> 00:05:38,560 So this isn't just advice for individuals, right? 183 00:05:38,560 --> 00:05:39,320 Not at all. 184 00:05:39,320 --> 00:05:40,000 Yeah. 185 00:05:40,000 --> 00:05:42,760 Businesses need to be just as adaptable as individuals. 186 00:05:42,760 --> 00:05:45,080 They need to be investing in their employees, 187 00:05:45,080 --> 00:05:46,120 retraining them. 188 00:05:46,120 --> 00:05:49,480 Right, so that they're prepared for this new world of work. 189 00:05:49,480 --> 00:05:50,360 Exactly. 190 00:05:50,360 --> 00:05:54,520 And the book argues that the companies that embrace this, 191 00:05:54,520 --> 00:05:57,480 the ones that invest in their people and are willing to adapt, 192 00:05:57,480 --> 00:05:58,880 they're the ones who are going to thrive. 193 00:05:58,880 --> 00:06:00,400 So it's not just about surviving. 194 00:06:00,400 --> 00:06:02,880 It's about thriving in this new landscape. 195 00:06:02,880 --> 00:06:03,520 It's exactly. 196 00:06:03,520 --> 00:06:04,680 It's an opportunity too. 197 00:06:04,680 --> 00:06:06,600 Like we're not just talking about doom and gloom here. 198 00:06:06,600 --> 00:06:07,720 It's kind of exciting, right? 199 00:06:07,720 --> 00:06:08,960 In a terrifying way. 200 00:06:08,960 --> 00:06:09,480 Exactly. 201 00:06:09,480 --> 00:06:13,360 It's like a terrifyingly exciting time to be alive, 202 00:06:13,360 --> 00:06:15,080 like a wake-up call for all of us. 203 00:06:15,080 --> 00:06:16,920 OK, but we're just getting started. 204 00:06:16,920 --> 00:06:22,400 2026, the book calls The Rise of the Robots. 205 00:06:22,400 --> 00:06:24,280 Wait, so it's not just about AI getting smarter. 206 00:06:24,280 --> 00:06:27,280 It's about actual physical robots entering our lives. 207 00:06:27,280 --> 00:06:28,640 Yep, get ready, because it's coming. 208 00:06:28,640 --> 00:06:31,800 OK, this is where things start to get really interesting. 209 00:06:31,800 --> 00:06:34,960 Like, how does this impact the way we work? 210 00:06:34,960 --> 00:06:37,640 So the book talks about this idea of collaboration 211 00:06:37,640 --> 00:06:39,280 between humans and robots. 212 00:06:39,280 --> 00:06:39,840 Oh, OK. 213 00:06:39,840 --> 00:06:41,480 It's not going to be about us versus them. 214 00:06:41,480 --> 00:06:44,000 You know, it's going to be about us working together. 215 00:06:44,000 --> 00:06:47,120 So we need people who can build and maintain these robots. 216 00:06:47,120 --> 00:06:48,240 Yeah, for sure. 217 00:06:48,240 --> 00:06:49,560 Like all those technical skills. 218 00:06:49,560 --> 00:06:52,120 But we also need people who can work alongside them, right? 219 00:06:52,120 --> 00:06:52,720 Absolutely. 220 00:06:52,720 --> 00:06:54,320 Like people who can manage teams that 221 00:06:54,320 --> 00:06:55,880 include both humans and robots. 222 00:06:55,880 --> 00:06:57,480 Oh, interesting. 223 00:06:57,480 --> 00:06:58,840 That's a whole new skill set. 224 00:06:58,840 --> 00:06:59,520 Totally. 225 00:06:59,520 --> 00:07:01,760 It raises a lot of questions too, you know? 226 00:07:01,760 --> 00:07:04,320 Yeah, like what happens when robots are making decisions 227 00:07:04,320 --> 00:07:05,640 that impact our lives? 228 00:07:05,640 --> 00:07:06,440 Exactly. 229 00:07:06,440 --> 00:07:08,720 Like who's responsible if something goes wrong? 230 00:07:08,720 --> 00:07:10,880 Oh, man, those are some heavy questions. 231 00:07:10,880 --> 00:07:12,080 Yeah, it's getting deep. 232 00:07:12,080 --> 00:07:13,800 But the book goes even further. 233 00:07:13,800 --> 00:07:17,640 It claims that 2027 will bring the arrival of super 234 00:07:17,640 --> 00:07:19,120 intelligence. 235 00:07:19,120 --> 00:07:22,000 OK, this is where I need you to explain things like I'm 236 00:07:22,000 --> 00:07:24,920 five years old because my brain is starting to melt a little. 237 00:07:24,920 --> 00:07:28,400 OK, so imagine an AI that's smarter than any human. 238 00:07:28,400 --> 00:07:30,000 That's super intelligence. 239 00:07:30,000 --> 00:07:33,800 OK, so it's not just about AI being as smart as us. 240 00:07:33,800 --> 00:07:36,120 It's about them surpassing us. 241 00:07:36,120 --> 00:07:39,200 Yeah, it's like a whole other level of intelligence 242 00:07:39,200 --> 00:07:40,800 that we can barely even comprehend. 243 00:07:40,800 --> 00:07:42,280 OK, so give me some examples. 244 00:07:42,280 --> 00:07:46,120 Like what could a super intelligence actually do? 245 00:07:46,120 --> 00:07:49,320 Imagine an AI that could solve complex scientific problems. 246 00:07:49,320 --> 00:07:49,880 OK, yeah. 247 00:07:49,880 --> 00:07:52,600 Like cure diseases, cackle climate change. 248 00:07:52,600 --> 00:07:53,480 Whoa. 249 00:07:53,480 --> 00:07:56,600 Or even compose symphonies that are better than Beethoven. 250 00:07:56,600 --> 00:07:58,080 OK, that's where it gets a little scary. 251 00:07:58,080 --> 00:08:00,560 Right, because it's like if they can do all that, 252 00:08:00,560 --> 00:08:01,520 what can't they do? 253 00:08:01,520 --> 00:08:03,080 Right, that's what I'm worried about. 254 00:08:03,080 --> 00:08:07,000 Yeah, and the book talks about both the amazing potential 255 00:08:07,000 --> 00:08:08,240 of super intelligence. 256 00:08:08,240 --> 00:08:08,840 OK. 257 00:08:08,840 --> 00:08:10,560 And the very real risks. 258 00:08:10,560 --> 00:08:12,040 OK, so what are the risks? 259 00:08:12,040 --> 00:08:15,040 Like what if it disrupts our entire economic system? 260 00:08:15,040 --> 00:08:16,360 Oh, yeah, that's a big one. 261 00:08:16,360 --> 00:08:18,520 Or creates new forms of inequality 262 00:08:18,520 --> 00:08:20,800 that we can't even imagine right now. 263 00:08:20,800 --> 00:08:23,200 So it's not just about the technology itself. 264 00:08:23,200 --> 00:08:23,720 No. 265 00:08:23,720 --> 00:08:24,880 It's about how we use it. 266 00:08:24,880 --> 00:08:25,840 Exactly. 267 00:08:25,840 --> 00:08:29,720 It's about making sure that AI aligns with our values 268 00:08:29,720 --> 00:08:31,840 and that it benefits humanity. 269 00:08:31,840 --> 00:08:33,400 OK, so how do we do that? 270 00:08:33,400 --> 00:08:35,760 I mean, this all sounds pretty overwhelming. 271 00:08:35,760 --> 00:08:37,240 Well, the book says we need to start 272 00:08:37,240 --> 00:08:40,400 thinking about the ethics of AI now, not later. 273 00:08:40,400 --> 00:08:42,840 Like we need to have these conversations before it's too 274 00:08:42,840 --> 00:08:43,320 late. 275 00:08:43,320 --> 00:08:44,360 I completely agree. 276 00:08:44,360 --> 00:08:46,960 And I'm so glad we're having this conversation today. 277 00:08:46,960 --> 00:08:48,880 But this is a lot to process. 278 00:08:48,880 --> 00:08:51,440 I feel like we need a whole other deep dive just 279 00:08:51,440 --> 00:08:53,800 to unpack super intelligence alone. 280 00:08:53,800 --> 00:08:55,080 Probably. 281 00:08:55,080 --> 00:08:56,840 But I think this is a good starting point. 282 00:08:56,840 --> 00:08:58,360 It's like laying the groundwork for everything 283 00:08:58,360 --> 00:08:59,480 else we're going to talk about. 284 00:08:59,480 --> 00:09:01,120 OK, so stay tuned, everyone. 285 00:09:01,120 --> 00:09:02,360 We're just getting started. 286 00:09:02,360 --> 00:09:03,000 That's right. 287 00:09:03,000 --> 00:09:05,200 Welcome back to the deep dive. 288 00:09:05,200 --> 00:09:07,480 I feel like my brain is still processing everything 289 00:09:07,480 --> 00:09:08,720 we talked about in part one. 290 00:09:08,720 --> 00:09:09,560 I know, right? 291 00:09:09,560 --> 00:09:10,280 It's a lot. 292 00:09:10,280 --> 00:09:14,320 AI taking over the world, robots getting smarter every day, 293 00:09:14,320 --> 00:09:15,440 super intelligence. 294 00:09:15,440 --> 00:09:17,080 Like it's mind blowing. 295 00:09:17,080 --> 00:09:17,960 It is. 296 00:09:17,960 --> 00:09:19,600 But remember, the point of this deep dive 297 00:09:19,600 --> 00:09:21,160 isn't to freak everyone out. 298 00:09:21,160 --> 00:09:21,600 Right. 299 00:09:21,600 --> 00:09:24,640 It's about understanding what's coming so we can be prepared. 300 00:09:24,640 --> 00:09:25,240 Exactly. 301 00:09:25,240 --> 00:09:29,560 It's about moving from anxiety to readiness. 302 00:09:29,560 --> 00:09:31,000 I like that. 303 00:09:31,000 --> 00:09:34,120 So let's talk about what we can actually do about all this. 304 00:09:34,120 --> 00:09:36,240 The book spends a good chunk of time 305 00:09:36,240 --> 00:09:38,320 on this idea of personal preparedness. 306 00:09:38,320 --> 00:09:38,820 Right. 307 00:09:38,820 --> 00:09:40,920 What can we do as individuals to get 308 00:09:40,920 --> 00:09:42,520 ready for this AI revolution? 309 00:09:42,520 --> 00:09:43,160 Exactly. 310 00:09:43,160 --> 00:09:45,800 Should we all be running out to learn how to code? 311 00:09:45,800 --> 00:09:48,120 Well, coding is definitely a valuable skill. 312 00:09:48,120 --> 00:09:49,920 But the book's advice goes deeper than that. 313 00:09:49,920 --> 00:09:53,920 It's about cultivating this mindset of lifelong learning. 314 00:09:53,920 --> 00:09:56,600 OK, I hear that a lot these days, lifelong learning. 315 00:09:56,600 --> 00:09:58,280 But what does it actually mean? 316 00:09:58,280 --> 00:09:59,600 Well, think about it. 317 00:09:59,600 --> 00:10:01,520 The skills that are in high demand today 318 00:10:01,520 --> 00:10:03,400 might be totally obsolete in a few years. 319 00:10:03,400 --> 00:10:04,400 Oh, yeah, for sure. 320 00:10:04,400 --> 00:10:06,800 Like who even uses floppy disks anymore? 321 00:10:06,800 --> 00:10:07,640 Exactly. 322 00:10:07,640 --> 00:10:10,680 So the key is to be adaptable, to be a constant learner. 323 00:10:10,680 --> 00:10:11,880 OK, that makes sense. 324 00:10:11,880 --> 00:10:13,800 But how do we even know what skills to learn? 325 00:10:13,800 --> 00:10:16,280 Like the tech landscape changes so fast, 326 00:10:16,280 --> 00:10:19,720 it's like what's hot today might be old news tomorrow. 327 00:10:19,720 --> 00:10:21,760 Right, it's tough to keep up. 328 00:10:21,760 --> 00:10:24,560 But instead of trying to chase the latest trends, 329 00:10:24,560 --> 00:10:27,320 the book emphasizes what they call transferable skills. 330 00:10:27,320 --> 00:10:29,120 Transferable skills. 331 00:10:29,120 --> 00:10:30,480 OK, I'm intrigued. 332 00:10:30,480 --> 00:10:31,840 Tell me more. 333 00:10:31,840 --> 00:10:34,240 So think about things like creativity, problem 334 00:10:34,240 --> 00:10:35,960 solving, critical thinking. 335 00:10:35,960 --> 00:10:37,840 These are skills that will always be valuable, 336 00:10:37,840 --> 00:10:40,280 no matter what new technologies emerge. 337 00:10:40,280 --> 00:10:42,640 So it's about being able to think critically, 338 00:10:42,640 --> 00:10:46,200 adapt to new situations, and solve problems creatively. 339 00:10:46,200 --> 00:10:48,600 These are all uniquely human skills. 340 00:10:48,600 --> 00:10:51,680 Exactly, the stuff that AI can't replicate at least, not yet. 341 00:10:51,680 --> 00:10:52,680 OK, that makes sense. 342 00:10:52,680 --> 00:10:54,320 But I'm a very practical person. 343 00:10:54,320 --> 00:10:56,080 So give me some concrete examples. 344 00:10:56,080 --> 00:10:58,400 How can we actually develop these skills? 345 00:10:58,400 --> 00:11:00,920 Well, the book talks about the importance of what they call AI 346 00:11:00,920 --> 00:11:01,640 literacy. 347 00:11:01,640 --> 00:11:03,320 AI literacy, what is that? 348 00:11:03,320 --> 00:11:06,560 It's about understanding the basics of how AI works, 349 00:11:06,560 --> 00:11:08,480 what it's good at, what it's not good at. 350 00:11:08,480 --> 00:11:11,560 So it's like being an informed consumer of AI. 351 00:11:11,560 --> 00:11:14,920 Exactly, like knowing enough to ask the right questions 352 00:11:14,920 --> 00:11:17,320 and not just be intimidated by the technology. 353 00:11:17,320 --> 00:11:19,000 That makes a lot of sense, especially 354 00:11:19,000 --> 00:11:21,400 since it seems like AI is becoming more and more 355 00:11:21,400 --> 00:11:23,040 integrated into our lives. 356 00:11:23,040 --> 00:11:24,240 Right, like it's everywhere. 357 00:11:24,240 --> 00:11:26,200 And it's only going to become more pervasive. 358 00:11:26,200 --> 00:11:28,600 So we need to be savvy about it. 359 00:11:28,600 --> 00:11:31,520 OK, so lifelong learning and AI literacy 360 00:11:31,520 --> 00:11:33,560 are key for individuals. 361 00:11:33,560 --> 00:11:35,240 But what about businesses? 362 00:11:35,240 --> 00:11:38,440 How can they prepare for this AI revolution? 363 00:11:38,440 --> 00:11:40,240 Well, the book really emphasizes 364 00:11:40,240 --> 00:11:41,800 the importance of innovation. 365 00:11:41,800 --> 00:11:44,320 Yeah, innovation seems to be the buzzword these days. 366 00:11:44,320 --> 00:11:47,880 But what does that actually look like in the context of AI? 367 00:11:47,880 --> 00:11:50,480 It's not just about adopting new technologies. 368 00:11:50,480 --> 00:11:54,520 It's about fostering a culture of creativity, experimentation, 369 00:11:54,520 --> 00:11:55,560 and collaboration. 370 00:11:55,560 --> 00:11:57,960 So it's about being open to new ideas, 371 00:11:57,960 --> 00:11:59,800 not being afraid to try new things, 372 00:11:59,800 --> 00:12:01,680 and working together to find solutions. 373 00:12:01,680 --> 00:12:02,240 Exactly. 374 00:12:02,240 --> 00:12:04,000 The book actually gives a really cool example 375 00:12:04,000 --> 00:12:05,400 of this manufacturing company. 376 00:12:05,400 --> 00:12:06,600 OK, tell me about it. 377 00:12:06,600 --> 00:12:09,480 So this company was struggling to keep up with demand. 378 00:12:09,480 --> 00:12:11,400 They knew they needed to do something. 379 00:12:11,400 --> 00:12:14,240 But instead of just automating their existing processes, 380 00:12:14,240 --> 00:12:16,040 they took a step back. 381 00:12:16,040 --> 00:12:18,840 And they reimagined their entire production line 382 00:12:18,840 --> 00:12:20,480 using AI-powered robots. 383 00:12:20,480 --> 00:12:22,360 Whoa, that's a bold move. 384 00:12:22,360 --> 00:12:23,680 It was. 385 00:12:23,680 --> 00:12:24,880 But it paid off. 386 00:12:24,880 --> 00:12:27,840 They were able to increase efficiency, reduce waste, 387 00:12:27,840 --> 00:12:30,560 and create a more flexible and adaptable workforce. 388 00:12:30,560 --> 00:12:33,960 So it's a great example of how AI can be this catalyst 389 00:12:33,960 --> 00:12:35,280 for positive change. 390 00:12:35,280 --> 00:12:36,160 Yeah, exactly. 391 00:12:36,160 --> 00:12:38,920 Like, it's not about AI versus humans. 392 00:12:38,920 --> 00:12:42,000 It's about how we can use AI to make things better. 393 00:12:42,000 --> 00:12:44,160 But it also highlights the importance of leadership, 394 00:12:44,160 --> 00:12:44,640 right? 395 00:12:44,640 --> 00:12:46,800 Like, leaders need to have the vision 396 00:12:46,800 --> 00:12:49,120 to see the potential of AI and the courage 397 00:12:49,120 --> 00:12:50,200 to actually invest in it. 398 00:12:50,200 --> 00:12:50,880 Totally. 399 00:12:50,880 --> 00:12:52,600 And just as importantly, they need 400 00:12:52,600 --> 00:12:56,000 to create a culture where their employees feel empowered 401 00:12:56,000 --> 00:12:57,560 to experiment and innovate. 402 00:12:57,560 --> 00:12:58,480 That's so important. 403 00:12:58,480 --> 00:13:00,520 It's about creating an environment where people 404 00:13:00,520 --> 00:13:03,760 aren't afraid to fail, where they feel supported to try new things 405 00:13:03,760 --> 00:13:04,880 and learn from their mistakes. 406 00:13:04,880 --> 00:13:06,960 Right, because that's how real innovation happens. 407 00:13:06,960 --> 00:13:08,360 This is all making a lot of sense. 408 00:13:08,360 --> 00:13:09,920 But there's one piece of the puzzle 409 00:13:09,920 --> 00:13:12,080 that I feel like we haven't really talked about yet. 410 00:13:12,080 --> 00:13:12,840 Ethics. 411 00:13:12,840 --> 00:13:14,440 Oh, yeah, that's a big one. 412 00:13:14,440 --> 00:13:18,360 As AI becomes more powerful and more integrated into our lives, 413 00:13:18,360 --> 00:13:21,280 how do we make sure that it's used responsibly? 414 00:13:21,280 --> 00:13:23,280 That is the million dollar question. 415 00:13:23,280 --> 00:13:25,320 And the book definitely doesn't shy away 416 00:13:25,320 --> 00:13:27,680 from the ethical challenges posed by AI. 417 00:13:27,680 --> 00:13:29,400 So what are some of those challenges? 418 00:13:29,400 --> 00:13:32,240 Well, one of the biggest is bias. 419 00:13:32,240 --> 00:13:35,280 AI systems are trained on data. 420 00:13:35,280 --> 00:13:39,120 That data is biased, then the AI system will be biased too. 421 00:13:39,120 --> 00:13:41,320 Right, garbage in, garbage out, as they say. 422 00:13:41,320 --> 00:13:41,920 Exactly. 423 00:13:41,920 --> 00:13:44,400 And that can have some really serious consequences, 424 00:13:44,400 --> 00:13:46,800 especially if those biased AI systems are being 425 00:13:46,800 --> 00:13:50,360 used to make decisions about things like hiring, lending, 426 00:13:50,360 --> 00:13:51,920 or even criminal justice. 427 00:13:51,920 --> 00:13:52,560 Oh, wow. 428 00:13:52,560 --> 00:13:54,080 Yeah, that's a scary thought. 429 00:13:54,080 --> 00:13:55,440 So what can we do about it? 430 00:13:55,440 --> 00:13:56,960 Well, the book emphasizes the need 431 00:13:56,960 --> 00:13:59,760 for clear guidelines and regulations around the development 432 00:13:59,760 --> 00:14:01,080 and use of AI. 433 00:14:01,080 --> 00:14:02,680 OK, so we need some rules of the road 434 00:14:02,680 --> 00:14:04,440 to make sure AI is used ethically. 435 00:14:04,440 --> 00:14:05,080 Exactly. 436 00:14:05,080 --> 00:14:07,200 And those rules need to be developed collaboratively. 437 00:14:07,200 --> 00:14:09,800 So it's not just about governments imposing 438 00:14:09,800 --> 00:14:11,120 top-down regulations. 439 00:14:11,120 --> 00:14:12,520 Right, it needs to be a conversation that 440 00:14:12,520 --> 00:14:15,720 evolves everyone, governments, businesses, researchers, 441 00:14:15,720 --> 00:14:17,840 ethicists, and even the public. 442 00:14:17,840 --> 00:14:20,640 It's about finding that balance between innovation 443 00:14:20,640 --> 00:14:21,920 and responsibility. 444 00:14:21,920 --> 00:14:23,160 Exactly. 445 00:14:23,160 --> 00:14:25,840 We want to encourage the development of AI technologies 446 00:14:25,840 --> 00:14:27,600 that can benefit humanity. 447 00:14:27,600 --> 00:14:31,080 But we also need to make sure that they're used ethically 448 00:14:31,080 --> 00:14:32,680 and that we have safeguards in place 449 00:14:32,680 --> 00:14:35,000 to prevent unintended consequences. 450 00:14:35,000 --> 00:14:37,760 It's a tall order, but it's a necessary one. 451 00:14:37,760 --> 00:14:38,720 Absolutely. 452 00:14:38,720 --> 00:14:40,280 This conversation has given me a lot 453 00:14:40,280 --> 00:14:43,800 to think about, both in terms of my own personal preparedness 454 00:14:43,800 --> 00:14:47,200 and the bigger societal implications of AI. 455 00:14:47,200 --> 00:14:47,680 I too. 456 00:14:47,680 --> 00:14:50,160 It's like this is a huge topic, and we're just 457 00:14:50,160 --> 00:14:51,320 scratching the surface here. 458 00:14:51,320 --> 00:14:53,080 Yeah, there's so much more to explore, 459 00:14:53,080 --> 00:14:55,240 but I think this is a good foundation. 460 00:14:55,240 --> 00:14:56,520 Yeah, and in part three, we're going 461 00:14:56,520 --> 00:14:59,560 to delve even deeper into some of these societal implications. 462 00:14:59,560 --> 00:15:00,600 OK, like what? 463 00:15:00,600 --> 00:15:03,200 We'll be talking about the future of work, 464 00:15:03,200 --> 00:15:06,200 the challenges of regulation, and the importance 465 00:15:06,200 --> 00:15:09,280 of global cooperation in shaping the AI landscape. 466 00:15:09,280 --> 00:15:11,200 It sounds like a fascinating conversation. 467 00:15:11,200 --> 00:15:11,840 I can't wait. 468 00:15:11,840 --> 00:15:12,480 Me neither. 469 00:15:12,480 --> 00:15:13,240 It's going to be good. 470 00:15:13,240 --> 00:15:14,760 Welcome back to the deep dive. 471 00:15:14,760 --> 00:15:17,760 It's the final part of our AI trilogy. 472 00:15:17,760 --> 00:15:19,680 And I'm not going to lie, it's been a wild ride. 473 00:15:19,680 --> 00:15:20,520 I know, right? 474 00:15:20,520 --> 00:15:21,720 There's a lot to take care of. 475 00:15:21,720 --> 00:15:24,240 Yeah, we've talked about the automation cliff, 476 00:15:24,240 --> 00:15:26,880 the rise of the robot superintelligence. 477 00:15:26,880 --> 00:15:28,840 It's mind blowing stuff. 478 00:15:28,840 --> 00:15:31,160 And today, we're going to zoom out even further. 479 00:15:31,160 --> 00:15:32,240 Oh, yeah. 480 00:15:32,240 --> 00:15:33,800 Yeah, we're going to look at the big picture. 481 00:15:33,800 --> 00:15:34,400 Yeah. 482 00:15:34,400 --> 00:15:36,400 The societal implications of all of this. 483 00:15:36,400 --> 00:15:38,840 OK, this is where things get really real. 484 00:15:38,840 --> 00:15:39,720 It is. 485 00:15:39,720 --> 00:15:44,720 It's complex, and to be honest, a little bit daunting. 486 00:15:44,720 --> 00:15:46,120 Now, sugar coating it, huh? 487 00:15:46,120 --> 00:15:47,160 No. 488 00:15:47,160 --> 00:15:51,160 But the goal isn't to predict the future with 100% accuracy. 489 00:15:51,160 --> 00:15:51,880 OK, good. 490 00:15:51,880 --> 00:15:53,640 Because I don't think anyone can do that. 491 00:15:53,640 --> 00:15:54,040 Right. 492 00:15:54,040 --> 00:15:56,960 It's more about understanding the potential challenges 493 00:15:56,960 --> 00:15:59,120 and opportunities so we can make informed decisions. 494 00:15:59,120 --> 00:16:01,360 So it's about being proactive, not reactive? 495 00:16:01,360 --> 00:16:02,040 Exactly. 496 00:16:02,040 --> 00:16:03,520 We want to be ahead of the curve, not just 497 00:16:03,520 --> 00:16:04,880 reacting to whatever happens. 498 00:16:04,880 --> 00:16:06,480 OK, so let's start with what I think 499 00:16:06,480 --> 00:16:09,520 is one of the biggest anxiety surrounding AI, 500 00:16:09,520 --> 00:16:10,680 the future of work. 501 00:16:10,680 --> 00:16:13,080 Yeah, everyone's worried about robots taking their jobs. 502 00:16:13,080 --> 00:16:14,280 It's a valid concern, right? 503 00:16:14,280 --> 00:16:15,880 I mean, the book doesn't sugar coat it. 504 00:16:15,880 --> 00:16:18,840 AI and automation are going to disrupt the job market. 505 00:16:18,840 --> 00:16:19,640 Sure. 506 00:16:19,640 --> 00:16:22,240 But it's not as simple as like robots replacing humans. 507 00:16:22,240 --> 00:16:23,280 Oh, OK. 508 00:16:23,280 --> 00:16:24,880 So it's more nuanced than that. 509 00:16:24,880 --> 00:16:26,600 Way more nuanced. 510 00:16:26,600 --> 00:16:29,000 It's not just about blue collar jobs being replaced 511 00:16:29,000 --> 00:16:30,480 by robots on factory floors. 512 00:16:30,480 --> 00:16:32,520 So white collar jobs are at risk, too. 513 00:16:32,520 --> 00:16:33,880 Absolutely. 514 00:16:33,880 --> 00:16:36,320 Think about tasks that involve analyzing data 515 00:16:36,320 --> 00:16:40,000 processing information, even making predictions. 516 00:16:40,000 --> 00:16:42,880 These are all things that AI can often do faster and more 517 00:16:42,880 --> 00:16:44,440 accurately than humans. 518 00:16:44,440 --> 00:16:47,840 OK, so lawyers, accountants, financial analysts, 519 00:16:47,840 --> 00:16:49,880 even doctors could be impacted. 520 00:16:49,880 --> 00:16:50,600 It's possible. 521 00:16:50,600 --> 00:16:51,080 Yeah. 522 00:16:51,080 --> 00:16:52,120 But here's the thing. 523 00:16:52,120 --> 00:16:54,080 The book argues that this disruption doesn't 524 00:16:54,080 --> 00:16:55,400 have to be a bad thing. 525 00:16:55,400 --> 00:16:57,280 It can also create new opportunities. 526 00:16:57,280 --> 00:16:58,360 OK, I'm listening. 527 00:16:58,360 --> 00:16:59,200 How so? 528 00:16:59,200 --> 00:17:00,800 Think about it this way. 529 00:17:00,800 --> 00:17:03,960 AI can automate all those routine tasks, 530 00:17:03,960 --> 00:17:06,880 freeing up humans to focus on higher level work, 531 00:17:06,880 --> 00:17:09,640 the stuff that requires creativity, critical thinking, 532 00:17:09,640 --> 00:17:10,920 emotional intelligence. 533 00:17:10,920 --> 00:17:12,800 So it's not about humans versus robots. 534 00:17:12,800 --> 00:17:14,880 It's about humans and robots working together. 535 00:17:14,880 --> 00:17:15,800 Exactly. 536 00:17:15,800 --> 00:17:17,760 And it's about recognizing that the skills 537 00:17:17,760 --> 00:17:20,880 that will be most valuable in an AI-driven world 538 00:17:20,880 --> 00:17:23,560 are those uniquely human qualities, the things 539 00:17:23,560 --> 00:17:25,040 that AI can't replicate. 540 00:17:25,040 --> 00:17:26,080 OK, I like that. 541 00:17:26,080 --> 00:17:28,320 It's a more optimistic way of looking at it. 542 00:17:28,320 --> 00:17:31,480 But what about the people whose jobs are displaced? 543 00:17:31,480 --> 00:17:34,040 Like, how do we support them during this transition? 544 00:17:34,040 --> 00:17:37,320 The book emphasizes retraining and upskilling programs. 545 00:17:37,320 --> 00:17:39,440 Oh, yeah, making sure people have the skills they 546 00:17:39,440 --> 00:17:41,680 need to thrive in this new job market. 547 00:17:41,680 --> 00:17:42,520 Exactly. 548 00:17:42,520 --> 00:17:45,080 It's about investing in education and training 549 00:17:45,080 --> 00:17:47,360 so people can adapt and stay ahead of the curve. 550 00:17:47,360 --> 00:17:48,840 That makes sense. 551 00:17:48,840 --> 00:17:51,200 But what about the bigger economic picture? 552 00:17:51,200 --> 00:17:54,920 Like, if AI does lead to mass unemployment, 553 00:17:54,920 --> 00:17:57,280 how do we ensure that everyone has a fair shot 554 00:17:57,280 --> 00:17:58,600 at a decent living? 555 00:17:58,600 --> 00:18:00,760 That's a huge question and one that we need 556 00:18:00,760 --> 00:18:02,360 to be talking about now. 557 00:18:02,360 --> 00:18:05,800 The book suggests exploring new economic models, things 558 00:18:05,800 --> 00:18:07,120 like universal basic income. 559 00:18:07,120 --> 00:18:08,560 Universal basic income, huh? 560 00:18:08,560 --> 00:18:10,360 That's a pretty radical idea. 561 00:18:10,360 --> 00:18:11,960 I mean, it's been talked about for a while, 562 00:18:11,960 --> 00:18:14,000 but it's never really gained much traction. 563 00:18:14,000 --> 00:18:14,360 I know. 564 00:18:14,360 --> 00:18:15,760 It's controversial. 565 00:18:15,760 --> 00:18:18,440 But these are the kinds of conversations we need to be having. 566 00:18:18,440 --> 00:18:20,680 We need to be thinking outside the box, 567 00:18:20,680 --> 00:18:23,640 exploring all options, challenging our assumptions 568 00:18:23,640 --> 00:18:24,920 about how things should be. 569 00:18:24,920 --> 00:18:25,360 Right. 570 00:18:25,360 --> 00:18:26,800 Because the old ways of doing things 571 00:18:26,800 --> 00:18:29,480 might not work in this new AI-powered world. 572 00:18:29,480 --> 00:18:30,360 Exactly. 573 00:18:30,360 --> 00:18:32,680 We need to be open to new ideas and new solutions. 574 00:18:32,680 --> 00:18:34,320 OK, so the future of work is definitely 575 00:18:34,320 --> 00:18:35,480 going to look different. 576 00:18:35,480 --> 00:18:37,920 But it's not just about jobs, right? 577 00:18:37,920 --> 00:18:40,720 AI raises all sorts of other societal challenges. 578 00:18:40,720 --> 00:18:42,960 Oh, yeah, tons. 579 00:18:42,960 --> 00:18:45,120 One of the biggest being regulation. 580 00:18:45,120 --> 00:18:46,680 Yeah, that's a big one. 581 00:18:46,680 --> 00:18:50,120 How do we ensure that AI is used responsibly and ethically? 582 00:18:50,120 --> 00:18:50,560 Right. 583 00:18:50,560 --> 00:18:54,720 It's like we have this incredibly powerful technology, 584 00:18:54,720 --> 00:18:57,520 but we don't really have the rules of the road figured out yet. 585 00:18:57,520 --> 00:18:58,880 It's like the Wild West of tech. 586 00:18:58,880 --> 00:18:59,760 Exactly. 587 00:18:59,760 --> 00:19:03,200 And the book makes the point that traditional regulatory 588 00:19:03,200 --> 00:19:05,440 frameworks might not be enough. 589 00:19:05,440 --> 00:19:07,600 Like we need new approaches to keep up 590 00:19:07,600 --> 00:19:09,280 with the pace of AI development. 591 00:19:09,280 --> 00:19:11,480 OK, so what would those new approaches look like? 592 00:19:11,480 --> 00:19:14,320 Well, the book suggests a multi-pronged approach. 593 00:19:14,320 --> 00:19:15,760 OK, break that down for me. 594 00:19:15,760 --> 00:19:18,840 It's about collaboration between governments, industry 595 00:19:18,840 --> 00:19:21,920 experts, ethicists, and even the public. 596 00:19:21,920 --> 00:19:24,280 So it's not just about the government coming in and saying, 597 00:19:24,280 --> 00:19:25,800 thou shalt not do this with AI? 598 00:19:25,800 --> 00:19:27,760 No, it's more nuanced than that. 599 00:19:27,760 --> 00:19:29,560 It's about bringing everyone to the table 600 00:19:29,560 --> 00:19:31,640 to have a conversation about how we want to shape 601 00:19:31,640 --> 00:19:32,920 the future of AI. 602 00:19:32,920 --> 00:19:34,480 That makes a lot of sense, because it's 603 00:19:34,480 --> 00:19:35,640 going to impact all of us. 604 00:19:35,640 --> 00:19:36,000 Right. 605 00:19:36,000 --> 00:19:38,520 It's about finding that balance between innovation 606 00:19:38,520 --> 00:19:40,320 and responsibility. 607 00:19:40,320 --> 00:19:41,840 We want to encourage the development 608 00:19:41,840 --> 00:19:43,720 of these amazing technologies. 609 00:19:43,720 --> 00:19:47,160 But we also need to make sure that they're used ethically 610 00:19:47,160 --> 00:19:48,880 and that we have safeguards in place 611 00:19:48,880 --> 00:19:51,200 to prevent any unintended consequences. 612 00:19:51,200 --> 00:19:52,960 Transparency is going to be T, right? 613 00:19:52,960 --> 00:19:54,520 Like we need to be able to understand 614 00:19:54,520 --> 00:19:57,720 how these AI systems work, how they're making decisions, 615 00:19:57,720 --> 00:19:59,040 what data they're using. 616 00:19:59,040 --> 00:19:59,720 Absolutely. 617 00:19:59,720 --> 00:20:02,480 Transparency and accountability are crucial. 618 00:20:02,480 --> 00:20:05,080 We also need to be thinking about data privacy, algorithmic 619 00:20:05,080 --> 00:20:07,440 bias, and the potential for AI to be 620 00:20:07,440 --> 00:20:09,800 used for malicious purposes. 621 00:20:09,800 --> 00:20:12,720 We need to be aware of the risks as well as the benefits. 622 00:20:12,720 --> 00:20:14,440 All right, so it's a lot to consider. 623 00:20:14,440 --> 00:20:16,840 But I think ultimately it comes down to this. 624 00:20:16,840 --> 00:20:18,960 We need to be having these conversations now 625 00:20:18,960 --> 00:20:20,360 before it's too late. 626 00:20:20,360 --> 00:20:23,120 We need to be proactive in shaping the future of AI 627 00:20:23,120 --> 00:20:25,240 rather than just letting it happen to us. 628 00:20:25,240 --> 00:20:26,040 Couldn't agree more. 629 00:20:26,040 --> 00:20:27,520 This isn't about fear mongering. 630 00:20:27,520 --> 00:20:28,680 It's about empowerment. 631 00:20:28,680 --> 00:20:29,640 Oh, I like that. 632 00:20:29,640 --> 00:20:32,120 It's about recognizing that we have the power 633 00:20:32,120 --> 00:20:34,240 to shape the future of AI. 634 00:20:34,240 --> 00:20:36,960 And that it's up to us to ensure that it's used for good. 635 00:20:36,960 --> 00:20:38,360 That's a great message. 636 00:20:38,360 --> 00:20:41,000 And I think it's a perfect way to wrap up this deep dive. 637 00:20:41,000 --> 00:20:42,640 We've covered a lot of ground. 638 00:20:42,640 --> 00:20:45,200 But hopefully it's given everyone listening 639 00:20:45,200 --> 00:20:48,120 a better understanding of what's coming, the challenges, 640 00:20:48,120 --> 00:20:52,040 the opportunities, the sheer scale of this AI revolution. 641 00:20:52,040 --> 00:20:53,880 It's definitely been eye-opening for me. 642 00:20:53,880 --> 00:20:55,760 And I hope it's inspired everyone listening 643 00:20:55,760 --> 00:20:58,520 to learn more, to stay informed, and to engage 644 00:20:58,520 --> 00:21:00,960 in the conversations that are shaping our future. 645 00:21:00,960 --> 00:21:02,000 That's what it's all about. 646 00:21:02,000 --> 00:21:04,560 Because ultimately the future of AI 647 00:21:04,560 --> 00:21:07,560 is up to us to decide what kind of world 648 00:21:07,560 --> 00:21:08,560 do we want to create. 649 00:21:08,560 --> 00:21:10,760 That's a great question to leave everyone with. 650 00:21:10,760 --> 00:21:12,320 Thanks for joining us on this deep dive 651 00:21:12,320 --> 00:21:13,520 into the world of AI. 652 00:21:13,520 --> 00:21:14,320 Thanks for having me. 653 00:21:14,320 --> 00:21:41,880 And keep those minds curious.