1 00:00:00,000 --> 00:00:03,680 ready for a deep dive into some serious AI news. 2 00:00:03,680 --> 00:00:04,680 Always. 3 00:00:04,680 --> 00:00:06,080 What's on the docket for today? 4 00:00:06,080 --> 00:00:08,560 Open AI's been making some moves, big moves. 5 00:00:08,560 --> 00:00:10,240 Oh yeah, like what? 6 00:00:10,240 --> 00:00:11,520 Well, they've been dipping their toes 7 00:00:11,520 --> 00:00:12,760 into some pretty deep waters, 8 00:00:12,760 --> 00:00:15,920 especially with the government military contracts, 9 00:00:15,920 --> 00:00:16,760 to be exact. 10 00:00:16,760 --> 00:00:17,860 Hold on, military contracts. 11 00:00:17,860 --> 00:00:21,200 I thought open AI was all about ethical AI, 12 00:00:21,200 --> 00:00:23,000 benefiting humanity, that whole thing. 13 00:00:23,000 --> 00:00:25,060 Right, that's what they've been saying all along. 14 00:00:25,060 --> 00:00:27,200 But it seems like they've had a bit of a change of heart, 15 00:00:27,200 --> 00:00:29,080 or at least a change of strategy. 16 00:00:29,080 --> 00:00:30,000 So what changed? 17 00:00:30,000 --> 00:00:32,080 Well, for starters, they partnered with this company 18 00:00:32,080 --> 00:00:33,240 called Kerasoft. 19 00:00:33,240 --> 00:00:34,680 Kerasoft, that rings a bell. 20 00:00:34,680 --> 00:00:36,560 They're like a middleman for selling tech 21 00:00:36,560 --> 00:00:37,400 to the government, right? 22 00:00:37,400 --> 00:00:38,320 Exactly. 23 00:00:38,320 --> 00:00:40,600 They help businesses navigate all the red tape 24 00:00:40,600 --> 00:00:43,120 and get their products in front of the right people, 25 00:00:43,120 --> 00:00:45,120 including the Department of Defense. 26 00:00:45,120 --> 00:00:48,000 Interesting, so how does open AI fit into all of this? 27 00:00:48,000 --> 00:00:50,440 They're listed on this program called Chess, 28 00:00:50,440 --> 00:00:52,600 which stands for Contract Hierarchy 29 00:00:52,600 --> 00:00:55,040 for Enhanced Software Services. 30 00:00:55,040 --> 00:00:57,820 Basically, it's a way to fast track software purchases 31 00:00:57,820 --> 00:00:59,200 for the DoD. 32 00:00:59,200 --> 00:01:02,120 So open AI is basically on a fast track 33 00:01:02,120 --> 00:01:05,040 to getting their AI into the hands of the military. 34 00:01:05,040 --> 00:01:06,240 Seems that way. 35 00:01:06,240 --> 00:01:08,840 Wow, that's a big deal. 36 00:01:08,840 --> 00:01:10,520 What kind of implications does that have? 37 00:01:10,520 --> 00:01:12,480 Well, it's raising some eyebrows, that's for sure. 38 00:01:12,480 --> 00:01:13,640 I bet. 39 00:01:13,640 --> 00:01:16,200 Especially given open AI's previous stance 40 00:01:16,200 --> 00:01:19,320 on ethical AI and avoiding military applications. 41 00:01:19,320 --> 00:01:21,680 Yeah, it's a pretty stark contrast. 42 00:01:21,680 --> 00:01:23,280 And it's not just talk, either. 43 00:01:23,280 --> 00:01:25,240 They've already used Kerasoft to close deals 44 00:01:25,240 --> 00:01:26,720 with other government agencies. 45 00:01:26,720 --> 00:01:28,200 Really, like who? 46 00:01:28,200 --> 00:01:30,640 Well, NASA for one. 47 00:01:30,640 --> 00:01:33,720 And get this, the National Gallery of Art. 48 00:01:33,720 --> 00:01:35,200 The National Gallery of Art. 49 00:01:35,200 --> 00:01:36,840 What do they need with open AI? 50 00:01:36,840 --> 00:01:38,040 Beats me. 51 00:01:38,040 --> 00:01:40,440 Maybe they're gonna have AI curators or something. 52 00:01:40,440 --> 00:01:43,320 But the point is, this isn't just a one-off with the DoD. 53 00:01:43,320 --> 00:01:45,880 It seems like open AI is making a concerted push 54 00:01:45,880 --> 00:01:46,880 into the government sector. 55 00:01:46,880 --> 00:01:49,480 I see, and with that comes a whole other level of scrutiny, 56 00:01:49,480 --> 00:01:51,400 especially when it comes to security. 57 00:01:51,400 --> 00:01:53,160 We're talking about sensitive information, 58 00:01:53,160 --> 00:01:55,560 government secrets, the whole nine yards. 59 00:01:55,560 --> 00:01:57,680 And it seems like open AI is aware of that. 60 00:01:57,680 --> 00:01:59,080 They recently hired a new 61 00:01:59,080 --> 00:02:00,840 CHEF Information Security Officer, 62 00:02:00,840 --> 00:02:03,040 someone with a pretty interesting background. 63 00:02:03,040 --> 00:02:04,400 Oh yeah, who is it? 64 00:02:04,400 --> 00:02:05,520 Dane Stuckey. 65 00:02:05,520 --> 00:02:07,120 Wait a minute, Dane Stuckey, 66 00:02:07,120 --> 00:02:09,400 the former CISO of Palantir. 67 00:02:09,400 --> 00:02:10,560 The one and only. 68 00:02:10,560 --> 00:02:11,880 Now that's a power move. 69 00:02:11,880 --> 00:02:14,520 Palantir is like the big leagues 70 00:02:14,520 --> 00:02:16,720 when it comes to data analytics and security, 71 00:02:16,720 --> 00:02:18,600 especially for government agencies. 72 00:02:18,600 --> 00:02:19,440 Exactly. 73 00:02:19,440 --> 00:02:22,520 So, bringing in someone with his level of expertise, 74 00:02:22,520 --> 00:02:24,760 especially someone who's worked with Palantir, 75 00:02:24,760 --> 00:02:26,280 sends a clear message. 76 00:02:26,280 --> 00:02:28,040 That they're serious about security 77 00:02:28,040 --> 00:02:29,960 and ready to play ball at the highest level? 78 00:02:29,960 --> 00:02:31,320 Absolutely. 79 00:02:31,320 --> 00:02:34,040 But while they're busy making friends in high places, 80 00:02:34,040 --> 00:02:36,600 it seems like they're also losing some key players. 81 00:02:36,600 --> 00:02:38,240 Oh, how so? 82 00:02:38,240 --> 00:02:41,240 Well, their former CTO, Mira Muradi, 83 00:02:41,240 --> 00:02:43,640 just left to start her own AI company. 84 00:02:43,640 --> 00:02:44,480 Interesting. 85 00:02:44,480 --> 00:02:46,720 That's not entirely uncommon in Silicon Valley though, 86 00:02:46,720 --> 00:02:47,560 is it? 87 00:02:47,560 --> 00:02:50,080 People jump ship to start their own ventures all the time. 88 00:02:50,080 --> 00:02:51,320 True. 89 00:02:51,320 --> 00:02:53,320 But there's a bit more to it than that. 90 00:02:53,320 --> 00:02:55,120 Rumor has it that she's been trying to poach 91 00:02:55,120 --> 00:02:57,080 some of her old team from open AI. 92 00:02:57,080 --> 00:02:58,560 Oh, wow. 93 00:02:58,560 --> 00:02:59,720 So there might be more to this 94 00:02:59,720 --> 00:03:02,120 than just the usual Silicon Valley shuffle. 95 00:03:02,120 --> 00:03:03,040 It seems that way. 96 00:03:03,040 --> 00:03:05,360 So is this just a case of a rising tide 97 00:03:05,360 --> 00:03:06,240 lifting all boats? 98 00:03:06,240 --> 00:03:08,160 Or is there something more, I don't know, 99 00:03:08,160 --> 00:03:09,960 fundamental going on here? 100 00:03:09,960 --> 00:03:12,760 That's the million dollar question, isn't it? 101 00:03:12,760 --> 00:03:15,640 On the surface, it's easy to see why someone like Muradi 102 00:03:15,640 --> 00:03:17,800 would strike out on her own. 103 00:03:17,800 --> 00:03:20,840 The AI world is exploding right now. 104 00:03:20,840 --> 00:03:23,680 There's money pouring in, opportunities everywhere. 105 00:03:23,680 --> 00:03:25,040 It's the Wild West out there. 106 00:03:25,040 --> 00:03:27,920 And in the Wild West, everyone wants to be the sheriff, 107 00:03:27,920 --> 00:03:29,360 or at least have their own posse. 108 00:03:29,360 --> 00:03:30,200 Right. 109 00:03:30,200 --> 00:03:31,280 And starting your own company, 110 00:03:31,280 --> 00:03:33,920 it's like the ultimate badge of honor in Silicon Valley. 111 00:03:33,920 --> 00:03:35,360 But it makes you wonder, 112 00:03:35,360 --> 00:03:39,360 if everyone's so gung-ho about open AI's direction, 113 00:03:39,360 --> 00:03:41,960 why are key people jumping ship? 114 00:03:41,960 --> 00:03:43,920 It's definitely a point of contention. 115 00:03:43,920 --> 00:03:46,520 Remember how open AI was initially all about 116 00:03:46,520 --> 00:03:49,640 democratizing AI, making it accessible to everyone, 117 00:03:49,640 --> 00:03:50,480 that kind of thing? 118 00:03:50,480 --> 00:03:52,040 They were practically the poster child 119 00:03:52,040 --> 00:03:54,360 for ethical AI development for a while there. 120 00:03:54,360 --> 00:03:55,800 Exactly. 121 00:03:55,800 --> 00:03:57,960 But this whole government contract thing, 122 00:03:57,960 --> 00:04:00,000 it's left some people wondering if they've strayed 123 00:04:00,000 --> 00:04:01,440 from those initial principles. 124 00:04:01,440 --> 00:04:02,920 Especially with companies like Apple 125 00:04:02,920 --> 00:04:05,040 taking a very different approach. 126 00:04:05,040 --> 00:04:07,720 I mean, they just announced that new iPad mini 127 00:04:07,720 --> 00:04:10,520 loaded with AI features, but it's all very much 128 00:04:10,520 --> 00:04:12,360 within their own little ecosystem. 129 00:04:12,360 --> 00:04:13,920 You hit the nail on the head. 130 00:04:13,920 --> 00:04:16,560 Apple strategy is all about control. 131 00:04:16,560 --> 00:04:18,640 They control the hardware, the software, 132 00:04:18,640 --> 00:04:21,400 the user experience, the data, everything. 133 00:04:21,400 --> 00:04:22,360 It's a closed loop. 134 00:04:22,360 --> 00:04:23,960 Which seems like the exact opposite 135 00:04:23,960 --> 00:04:28,040 of open AI's initial mission of making AI open and accessible. 136 00:04:28,040 --> 00:04:29,320 To some extent, yes. 137 00:04:29,320 --> 00:04:31,240 But it's a strategy that clearly resonates 138 00:04:31,240 --> 00:04:32,480 with a lot of people. 139 00:04:32,480 --> 00:04:34,320 Apple has built its reputation 140 00:04:34,320 --> 00:04:37,320 on being user friendly and privacy focused. 141 00:04:37,320 --> 00:04:40,240 And that extends to their approach to AI. 142 00:04:40,240 --> 00:04:41,080 So it's a trade-off. 143 00:04:41,080 --> 00:04:42,840 You get that ease of use in peace of mind, 144 00:04:42,840 --> 00:04:45,600 but you're also limited to whatever Apple decides 145 00:04:45,600 --> 00:04:46,920 you can do with their AI. 146 00:04:46,920 --> 00:04:47,880 Precisely. 147 00:04:47,880 --> 00:04:49,640 And that distinction, that philosophical difference 148 00:04:49,640 --> 00:04:51,400 between open AI and Apple, 149 00:04:51,400 --> 00:04:53,760 it goes beyond just software and ecosystems. 150 00:04:53,760 --> 00:04:55,680 It extends to the hardware side of things too. 151 00:04:55,680 --> 00:04:57,040 You're talking about NVIDIA, right? 152 00:04:57,040 --> 00:05:00,000 Those super powerful chips they make specifically for AI. 153 00:05:00,000 --> 00:05:01,720 I read that Dell's gonna start putting those chips 154 00:05:01,720 --> 00:05:02,920 into their servers. 155 00:05:02,920 --> 00:05:03,760 That's right. 156 00:05:03,760 --> 00:05:06,720 NVIDIA's chips are the workhorses of the AI world. 157 00:05:06,720 --> 00:05:08,840 They provide the raw computing power needed 158 00:05:08,840 --> 00:05:11,400 to train and run those massive AI models. 159 00:05:11,400 --> 00:05:13,680 And with Dell putting them into their servers, 160 00:05:13,680 --> 00:05:15,680 it's gonna make that power accessible 161 00:05:15,680 --> 00:05:18,520 to a much wider range of companies and organizations. 162 00:05:18,520 --> 00:05:21,480 So it's like democratizing the tools of AI, 163 00:05:21,480 --> 00:05:24,760 even if the AI itself isn't always so democratic. 164 00:05:24,760 --> 00:05:26,040 I like that analogy. 165 00:05:26,040 --> 00:05:28,400 But it also highlighted another crucial aspect 166 00:05:28,400 --> 00:05:31,400 of this whole AI revolution, regulation. 167 00:05:31,400 --> 00:05:33,800 Because the more powerful these tools become, 168 00:05:33,800 --> 00:05:35,960 and the more widely available they are, 169 00:05:35,960 --> 00:05:37,120 the more important it becomes 170 00:05:37,120 --> 00:05:38,680 to have some rules of the road. 171 00:05:38,680 --> 00:05:41,640 And it seems like the EU is trying to do just that 172 00:05:41,640 --> 00:05:43,160 with that new tool they've developed. 173 00:05:43,160 --> 00:05:45,800 You mean the LLM checker, right? 174 00:05:45,800 --> 00:05:47,600 The one that's supposed to make sure AI models 175 00:05:47,600 --> 00:05:50,280 are playing by the rules of the EU's AI Act? 176 00:05:50,280 --> 00:05:51,120 It's the very same. 177 00:05:51,120 --> 00:05:52,600 It's like a report card for AI, 178 00:05:52,600 --> 00:05:54,480 grading how well different models measure 179 00:05:54,480 --> 00:05:56,080 up to the EU's standards. 180 00:05:56,080 --> 00:05:57,920 And how are those grades looking so far? 181 00:05:57,920 --> 00:05:59,320 Any failing marks? 182 00:05:59,320 --> 00:06:01,720 Let's just say there's definitely room for improvement. 183 00:06:01,720 --> 00:06:03,240 Some AI models are falling short 184 00:06:03,240 --> 00:06:05,000 when it comes to things like cybersecurity, 185 00:06:05,000 --> 00:06:06,880 bias mitigation, transparency. 186 00:06:06,880 --> 00:06:09,640 It sounds like the Wild West analogy still applies, 187 00:06:09,640 --> 00:06:12,360 even with the EU trying to lay down the law. 188 00:06:12,360 --> 00:06:14,360 It's a fast moving target, that's for sure. 189 00:06:14,360 --> 00:06:16,320 And that's precisely why it's so important 190 00:06:16,320 --> 00:06:17,440 to have these conversations, 191 00:06:17,440 --> 00:06:19,120 to unpack these complexities, 192 00:06:19,120 --> 00:06:22,120 and to think critically about the implications of all this. 193 00:06:22,120 --> 00:06:23,240 Couldn't agree more. 194 00:06:23,240 --> 00:06:25,320 So on that note, what's caught your eye 195 00:06:25,320 --> 00:06:29,320 in the world of AI that's got you, well, thinking? 196 00:06:29,320 --> 00:06:30,960 Well, there's this new technology 197 00:06:30,960 --> 00:06:33,000 that's both fascinating and a little unsettling, 198 00:06:33,000 --> 00:06:33,840 to be honest. 199 00:06:33,840 --> 00:06:36,520 It's called Emotion Tracking Smart Glasses. 200 00:06:36,520 --> 00:06:38,240 Emotion Tracking Smart Glasses? 201 00:06:38,240 --> 00:06:39,320 Okay, I'm listening. 202 00:06:39,320 --> 00:06:41,240 Yeah, a company called MTech Labs 203 00:06:41,240 --> 00:06:43,640 is developing glasses that can actually 204 00:06:43,640 --> 00:06:45,520 read your facial expressions, 205 00:06:45,520 --> 00:06:48,560 and Sopresta Monte used that information 206 00:06:48,560 --> 00:06:50,800 to provide insights into your emotional state. 207 00:06:50,800 --> 00:06:52,800 Hold on, so you're telling me my glasses 208 00:06:52,800 --> 00:06:54,200 could tell me if I'm stressed out, 209 00:06:54,200 --> 00:06:56,760 or if I'm actually enjoying that kale smoothie 210 00:06:56,760 --> 00:06:58,480 everyone pretends to love? 211 00:06:58,480 --> 00:06:59,840 That's the idea. 212 00:06:59,840 --> 00:07:01,520 They claim it has huge potential 213 00:07:01,520 --> 00:07:03,040 for mental health applications, 214 00:07:03,040 --> 00:07:05,840 helping people recognize and manage their emotions. 215 00:07:05,840 --> 00:07:08,600 There's even talk of using it to track eating habits, 216 00:07:08,600 --> 00:07:10,880 maybe even address things like overeating. 217 00:07:10,880 --> 00:07:12,120 Okay, that's a lot. 218 00:07:12,120 --> 00:07:14,800 On the one hand, if this technology actually works, 219 00:07:14,800 --> 00:07:17,080 it could be huge for helping people 220 00:07:17,080 --> 00:07:18,440 with their mental well-being. 221 00:07:18,440 --> 00:07:19,280 Absolutely. 222 00:07:19,280 --> 00:07:22,720 But on the other hand, the idea of my glasses basically, 223 00:07:22,720 --> 00:07:25,640 reading my every emotion feels a little too 224 00:07:25,640 --> 00:07:26,960 black mirror for comfort. 225 00:07:26,960 --> 00:07:29,920 Yeah, the potential for misuse is a very real concern. 226 00:07:29,920 --> 00:07:32,680 Think about the privacy implications alone. 227 00:07:32,680 --> 00:07:36,000 Could your employer use this to track your stress levels? 228 00:07:36,000 --> 00:07:38,920 Could marketers use it to gauge your reaction to ads? 229 00:07:38,920 --> 00:07:40,400 It raises a lot of questions. 230 00:07:40,400 --> 00:07:41,240 No doubt. 231 00:07:41,240 --> 00:07:43,000 And speaking of ethical quandaries, 232 00:07:43,000 --> 00:07:45,440 the New York Times is going after AI companies 233 00:07:45,440 --> 00:07:48,080 that are using their content without permission. 234 00:07:48,080 --> 00:07:50,000 They just hit that AI search engine 235 00:07:50,000 --> 00:07:51,880 of perplexity with a lawsuit. 236 00:07:51,880 --> 00:07:53,840 Yeah, that lawsuit gets right to the heart 237 00:07:53,840 --> 00:07:57,760 of a huge issue in the AI world, intellectual property. 238 00:07:57,760 --> 00:08:00,240 When AI models are trained on these massive data sets 239 00:08:00,240 --> 00:08:02,800 of text and code, who owns the output? 240 00:08:02,800 --> 00:08:03,640 That's a tough one. 241 00:08:03,640 --> 00:08:05,640 I mean, if I wrote a screenplay based on 242 00:08:05,640 --> 00:08:07,760 like every Quentin Tarantino movie ever made, 243 00:08:07,760 --> 00:08:09,520 would that be considered fair use? 244 00:08:09,520 --> 00:08:11,240 Or would I get sued into oblivion? 245 00:08:11,240 --> 00:08:13,480 It's a legal gray area, that's for sure. 246 00:08:13,480 --> 00:08:15,480 Creators deserve to be protected. 247 00:08:15,480 --> 00:08:17,400 But AI companies argue that they're just 248 00:08:17,400 --> 00:08:21,600 using publicly available data in a transformative way. 249 00:08:21,600 --> 00:08:24,280 It's like how humans learn from previous works of art. 250 00:08:24,280 --> 00:08:26,480 Sounds like a debate that's just getting started. 251 00:08:26,480 --> 00:08:27,320 Definitely. 252 00:08:27,320 --> 00:08:29,600 And speaking of debates that are just getting started, 253 00:08:29,600 --> 00:08:33,520 the video game voice actors are back at the negotiating table 254 00:08:33,520 --> 00:08:35,040 with those big game publishers 255 00:08:35,040 --> 00:08:36,920 after that whole strike about AI. 256 00:08:36,920 --> 00:08:37,760 Right. 257 00:08:37,760 --> 00:08:39,720 It's easy to forget about the human cost 258 00:08:39,720 --> 00:08:41,960 of all this AI advancement sometimes. 259 00:08:41,960 --> 00:08:43,200 Those voice actors were worried 260 00:08:43,200 --> 00:08:45,640 about losing their livelihoods to algorithms. 261 00:08:45,640 --> 00:08:48,640 And it's not just voice actors, writers, musicians, 262 00:08:48,640 --> 00:08:51,080 artists, all sorts of creative professionals 263 00:08:51,080 --> 00:08:53,680 are grappling with what it means to have an AI 264 00:08:53,680 --> 00:08:55,320 that could potentially do their job, 265 00:08:55,320 --> 00:08:56,960 often faster and cheaper. 266 00:08:56,960 --> 00:08:58,920 It really boils down to this question. 267 00:08:58,920 --> 00:09:01,400 How do we balance the incredible potential of AI 268 00:09:01,400 --> 00:09:04,920 with the very real need to protect people's livelihoods, 269 00:09:04,920 --> 00:09:07,360 their creativity, their sense of purpose even? 270 00:09:07,360 --> 00:09:10,800 And how do we balance AI with the delicate balancing act, 271 00:09:10,800 --> 00:09:11,640 to be sure? 272 00:09:11,640 --> 00:09:14,480 It feels like we're at a real crossroads. 273 00:09:14,480 --> 00:09:18,640 This isn't just about cool new gadgets and futuristic 274 00:09:18,640 --> 00:09:19,960 technology anymore. 275 00:09:19,960 --> 00:09:21,760 This is about fundamental questions 276 00:09:21,760 --> 00:09:25,200 of who we are, what we value, what kind of future 277 00:09:25,200 --> 00:09:26,440 we want to build. 278 00:09:26,440 --> 00:09:27,480 And those are questions that we all 279 00:09:27,480 --> 00:09:29,200 need to be a part of answering. 280 00:09:29,200 --> 00:09:30,760 So where do we even go from here? 281 00:09:30,760 --> 00:09:32,320 It feels like we're barely scratching 282 00:09:32,320 --> 00:09:33,880 the surface of something massive. 283 00:09:33,880 --> 00:09:34,880 It is massive. 284 00:09:34,880 --> 00:09:37,320 And honestly, I think that's the biggest takeaway here. 285 00:09:37,320 --> 00:09:39,960 AI isn't some abstract concept anymore. 286 00:09:39,960 --> 00:09:42,480 It's weaving itself into the fabric of our lives. 287 00:09:42,480 --> 00:09:43,280 OK, I get that. 288 00:09:43,280 --> 00:09:45,760 But what can any of us really do about it? 289 00:09:45,760 --> 00:09:46,800 I mean, I'm not Elon Musk. 290 00:09:46,800 --> 00:09:50,360 I can't just create my own AI to fight the other AIs. 291 00:09:50,360 --> 00:09:53,880 No, it doesn't require that level of intervention. 292 00:09:53,880 --> 00:09:55,920 It starts smaller with awareness. 293 00:09:55,920 --> 00:09:57,960 We've done some of that today digging into the news. 294 00:09:57,960 --> 00:09:58,360 Right. 295 00:09:58,360 --> 00:09:59,160 But then what? 296 00:09:59,160 --> 00:10:00,000 Then you take it further. 297 00:10:00,000 --> 00:10:02,360 Every time you see that little label, AI-powered, 298 00:10:02,360 --> 00:10:03,680 don't just glaze over it. 299 00:10:03,680 --> 00:10:06,160 Ask yourself, AI-powered how? 300 00:10:06,160 --> 00:10:07,800 What data is being used? 301 00:10:07,800 --> 00:10:09,280 Who benefits from this? 302 00:10:09,280 --> 00:10:12,320 So basically, be a more conscious consumer, 303 00:10:12,320 --> 00:10:15,720 not just of products, but of the whole AI conversation. 304 00:10:15,720 --> 00:10:16,320 Exactly. 305 00:10:16,320 --> 00:10:17,840 And don't keep it to yourself. 306 00:10:17,840 --> 00:10:21,880 Talk about this stuff with people, AI, ethics, regulation. 307 00:10:21,880 --> 00:10:23,520 These aren't just tech issues. 308 00:10:23,520 --> 00:10:25,120 They're human issues. 309 00:10:25,120 --> 00:10:27,000 The more of us who understand that, the better. 310 00:10:27,000 --> 00:10:27,360 You're right. 311 00:10:27,360 --> 00:10:29,360 It's easy to get overwhelmed by the tech jargon 312 00:10:29,360 --> 00:10:31,640 and forget that this is actually about how we want to live, 313 00:10:31,640 --> 00:10:33,040 what we value. 314 00:10:33,040 --> 00:10:33,640 That's it. 315 00:10:33,640 --> 00:10:37,880 AI is like this mirror reflecting our choices back at us. 316 00:10:37,880 --> 00:10:40,280 The question is, do we like what we see? 317 00:10:40,280 --> 00:10:42,640 And if not, what are we going to do about it? 318 00:10:42,640 --> 00:10:43,480 Well said. 319 00:10:43,480 --> 00:10:45,440 I have to admit, I'm leaving our little deep dive 320 00:10:45,440 --> 00:10:46,760 with more questions than answers, 321 00:10:46,760 --> 00:10:48,640 but I think that's a good thing. 322 00:10:48,640 --> 00:10:51,000 It means we're asking the right questions. 323 00:10:51,000 --> 00:10:52,400 And that's what matters. 324 00:10:52,400 --> 00:10:56,160 It's a journey, this whole AI thing, not a destination. 325 00:10:56,160 --> 00:10:57,160 Well said. 326 00:10:57,160 --> 00:10:59,800 A huge thank you to our expert for joining us today 327 00:10:59,800 --> 00:11:02,520 and to all of you listening for taking this journey with us. 328 00:11:02,520 --> 00:11:05,760 This is the deep dive, signing off. 329 00:11:05,760 --> 00:11:34,000 Until next time, stay curious.