1 00:00:00,000 --> 00:00:03,480 Hey everyone and welcome, let's jump right in shall we? 2 00:00:03,480 --> 00:00:05,640 Today's deep dive takes us into the mind 3 00:00:05,640 --> 00:00:08,720 of Eric Schmidt, former CEO of Google. 4 00:00:08,720 --> 00:00:10,280 Oh, a fascinating interview. 5 00:00:10,280 --> 00:00:12,680 Yeah, packed with insights on everything 6 00:00:12,680 --> 00:00:14,920 from leadership to company culture. 7 00:00:14,920 --> 00:00:16,000 And of course AI. 8 00:00:16,000 --> 00:00:18,440 It's not your typical business guru kind of talk though. 9 00:00:18,440 --> 00:00:21,640 He really digs deep into the potential of AI 10 00:00:21,640 --> 00:00:24,400 to reshape, well pretty much everything. 11 00:00:24,400 --> 00:00:26,440 You can tell he sees it as more than just tech, 12 00:00:26,440 --> 00:00:28,840 more like a force that's gonna redefine 13 00:00:28,840 --> 00:00:29,960 what it means to be human. 14 00:00:29,960 --> 00:00:33,240 Exactly, so let's start with his journey at Google, 15 00:00:33,240 --> 00:00:35,360 which is pretty remarkable. 16 00:00:35,360 --> 00:00:37,000 Oh yeah, talk about a success story. 17 00:00:37,000 --> 00:00:38,880 I mean, he joined when Google was worth 18 00:00:38,880 --> 00:00:40,400 about a hundred million dollars 19 00:00:40,400 --> 00:00:43,320 and helped it grow to a staggering 180 billion. 20 00:00:43,320 --> 00:00:44,160 It's not just growth, 21 00:00:44,160 --> 00:00:46,680 that's like launching a rocket into orbit. 22 00:00:46,680 --> 00:00:48,960 Right, and one thing that really stood out to me 23 00:00:48,960 --> 00:00:52,600 was his emphasis on working with what he calls divas. 24 00:00:52,600 --> 00:00:54,400 Divas, like in the offer sense? 25 00:00:54,400 --> 00:00:55,560 Well, not quite. 26 00:00:55,560 --> 00:00:58,400 He's talking about those brilliant driven individuals 27 00:00:58,400 --> 00:01:01,520 who are let's say not afraid to challenge the status quo. 28 00:01:01,520 --> 00:01:03,840 Oh, I see, the ones who push boundaries, 29 00:01:03,840 --> 00:01:06,080 even if it ruffles some feathers along the way. 30 00:01:06,080 --> 00:01:08,240 Exactly, they're the ones who often have 31 00:01:08,240 --> 00:01:11,120 that raw intelligence to drive true innovation. 32 00:01:11,120 --> 00:01:13,920 I get it, they're not necessarily easy to work with, 33 00:01:13,920 --> 00:01:15,800 but they're the ones who can really make a difference. 34 00:01:15,800 --> 00:01:18,560 Yeah, he even shares a story about Larry Page 35 00:01:18,560 --> 00:01:21,160 and Sergey Brin, Google's founders, 36 00:01:21,160 --> 00:01:22,600 to illustrate this point. 37 00:01:22,600 --> 00:01:24,560 You mean like an anecdote from the early days? 38 00:01:24,560 --> 00:01:26,680 Yeah, they were brainstorming strategy 39 00:01:26,680 --> 00:01:28,680 and amidst all the discussion, 40 00:01:28,680 --> 00:01:30,440 Sergey just cuts through the noise 41 00:01:30,440 --> 00:01:33,280 with this radical idea, completely shifts their thinking. 42 00:01:33,280 --> 00:01:34,560 No, it's about having those people 43 00:01:34,560 --> 00:01:35,920 who can think outside the box, 44 00:01:35,920 --> 00:01:37,480 who aren't afraid to shake things up. 45 00:01:37,480 --> 00:01:40,840 Absolutely, but Schmidt also emphasizes 46 00:01:40,840 --> 00:01:42,160 that it's not enough to just have 47 00:01:42,160 --> 00:01:44,240 these brilliant minds on board. 48 00:01:44,240 --> 00:01:45,680 Right, you need the right environment 49 00:01:45,680 --> 00:01:46,600 for them to flourish. 50 00:01:46,600 --> 00:01:51,600 Exactly, which brings us to Google's famous 702010 rule 51 00:01:52,160 --> 00:01:54,320 for innovation, have you heard of this? 52 00:01:54,320 --> 00:01:56,800 Hmm, rings a bell, but refresh my memory. 53 00:01:56,800 --> 00:02:00,240 Sure, it's basically a framework for allocating resources. 54 00:02:00,240 --> 00:02:02,680 70% goes to your core business, 55 00:02:02,680 --> 00:02:04,040 the stuff that pays the bills. 56 00:02:04,040 --> 00:02:06,360 Okay, that makes sense, keeping the lights on. 57 00:02:06,360 --> 00:02:08,760 Then 20% is for projects that are adjacent 58 00:02:08,760 --> 00:02:10,280 to your core business, 59 00:02:10,280 --> 00:02:13,360 things with potential to expand into new markets. 60 00:02:13,360 --> 00:02:15,960 So building on what you already do well, 61 00:02:15,960 --> 00:02:17,720 exploring new avenues. 62 00:02:17,720 --> 00:02:18,880 And the most interesting part, 63 00:02:18,880 --> 00:02:22,320 the final 10% is dedicated to those moonshot ideas. 64 00:02:22,320 --> 00:02:25,120 Moonshot, you mean like aiming for the impossible? 65 00:02:25,120 --> 00:02:27,840 Yeah, those seemingly crazy ventures 66 00:02:27,840 --> 00:02:29,760 that could potentially change the world. 67 00:02:29,760 --> 00:02:31,600 High risk, high reward kind of stuff. 68 00:02:31,600 --> 00:02:33,520 Exactly, and Schmidt argues 69 00:02:33,520 --> 00:02:36,040 that this is where true breakthroughs happen. 70 00:02:36,040 --> 00:02:38,280 He uses Google Brain as an example. 71 00:02:38,280 --> 00:02:39,120 Google Brain. 72 00:02:39,120 --> 00:02:40,840 Yeah, it started as this tiny project 73 00:02:40,840 --> 00:02:44,240 focused on deep learning tucked away in Google X. 74 00:02:44,240 --> 00:02:46,760 Ah, one of those, let's see what happens initiatives. 75 00:02:46,760 --> 00:02:48,280 Right, but fast forward, 76 00:02:48,280 --> 00:02:51,440 and it's now generating billions in profit for Google. 77 00:02:51,440 --> 00:02:54,560 So it's proof that investing in those out there ideas 78 00:02:54,560 --> 00:02:56,240 can actually pay off big time. 79 00:02:56,240 --> 00:02:58,680 Absolutely, and if you wonder what moonshot ideas 80 00:02:58,680 --> 00:03:00,480 we might be dismissing too quickly. 81 00:03:00,480 --> 00:03:01,840 Hmm, good point. 82 00:03:01,840 --> 00:03:03,280 It's a good reminder to stay open 83 00:03:03,280 --> 00:03:05,080 to those unconventional paths. 84 00:03:05,080 --> 00:03:07,120 And this all ties into Schmidt's bigger point 85 00:03:07,120 --> 00:03:08,920 about building a tech-driven culture 86 00:03:08,920 --> 00:03:11,720 that's laser focused on exceptional products. 87 00:03:11,720 --> 00:03:13,880 He's a big believer in speed and agility, right? 88 00:03:13,880 --> 00:03:15,240 Yeah. Especially for startups. 89 00:03:15,240 --> 00:03:17,040 Oh, absolutely, he talks about how 90 00:03:17,040 --> 00:03:18,920 getting a great product to market quickly 91 00:03:18,920 --> 00:03:20,720 can give you a massive advantage. 92 00:03:20,720 --> 00:03:22,880 Makes sense. Timing is everything in the tech world. 93 00:03:22,880 --> 00:03:24,640 And he brings up Marissa Mayer, 94 00:03:24,640 --> 00:03:27,120 who introduced A-B testing at Google. 95 00:03:27,120 --> 00:03:29,760 Now A-B testing, just for those who might not be familiar. 96 00:03:29,760 --> 00:03:30,680 Yeah, good point. 97 00:03:30,680 --> 00:03:33,080 It's basically showing two versions of something 98 00:03:33,080 --> 00:03:34,920 like a webpage to different groups of people 99 00:03:34,920 --> 00:03:36,960 and seeing which one performs better. 100 00:03:36,960 --> 00:03:39,200 So it's all about data-driven decision making, 101 00:03:39,200 --> 00:03:41,080 taking the guesswork out of design. 102 00:03:41,080 --> 00:03:44,400 Exactly, they were constantly experimenting, measuring, 103 00:03:44,400 --> 00:03:47,160 and iterating based on what the data told them. 104 00:03:47,160 --> 00:03:49,720 Like a scientific approach to product development. 105 00:03:49,720 --> 00:03:53,960 And this data-driven mindset extended beyond just products. 106 00:03:53,960 --> 00:03:55,960 Schmidt also highlights Google's policy 107 00:03:55,960 --> 00:03:59,480 of not laying off employees, even during tough times. 108 00:03:59,480 --> 00:04:01,080 Interesting. That's pretty rare, 109 00:04:01,080 --> 00:04:02,400 especially in the tech industry. 110 00:04:02,400 --> 00:04:06,360 It is, but he argues that it fostered incredible loyalty 111 00:04:06,360 --> 00:04:08,800 and allowed them to keep valuable knowledge 112 00:04:08,800 --> 00:04:10,080 within the company. 113 00:04:10,080 --> 00:04:12,280 I can see how that would create a sense of security 114 00:04:12,280 --> 00:04:14,000 and encourage people to stick around. 115 00:04:14,000 --> 00:04:17,080 But he acknowledges that maintaining this kind of culture 116 00:04:17,080 --> 00:04:19,200 gets tricky as a company grows. 117 00:04:19,200 --> 00:04:22,320 Yeah, larger corporations tend to become more, 118 00:04:22,320 --> 00:04:24,320 well, bureaucratic and risk averse. 119 00:04:24,320 --> 00:04:25,160 Right. 120 00:04:25,160 --> 00:04:28,600 He even mentions how Google's famous TGIF meetings, 121 00:04:28,600 --> 00:04:32,240 which started as this fun, informal way for employees 122 00:04:32,240 --> 00:04:33,720 to connect with executives. 123 00:04:33,720 --> 00:04:34,720 Oh, I've heard about those, 124 00:04:34,720 --> 00:04:36,800 kind of legendary in Silicon Valley lore. 125 00:04:36,800 --> 00:04:39,000 Yeah, but they eventually lost their magic 126 00:04:39,000 --> 00:04:40,600 as the company got bigger. 127 00:04:40,600 --> 00:04:41,440 What happened? 128 00:04:41,440 --> 00:04:43,240 Well, with thousands of employees, 129 00:04:43,240 --> 00:04:45,800 they became less intimate, they're released, 130 00:04:45,800 --> 00:04:48,840 and that sense of openness kind of disappeared. 131 00:04:48,840 --> 00:04:50,680 It's almost like a cautionary tale, right? 132 00:04:50,680 --> 00:04:51,520 Yeah. 133 00:04:51,520 --> 00:04:52,480 Even with the best intentions, 134 00:04:52,480 --> 00:04:55,000 things can change as an organization scales. 135 00:04:55,000 --> 00:04:56,920 It definitely makes you think about the challenges 136 00:04:56,920 --> 00:05:00,160 of preserving a unique culture as a company grows, 137 00:05:00,160 --> 00:05:02,320 especially in the fast-paced world of tech. 138 00:05:02,320 --> 00:05:04,320 And that leads us to a topic that's central 139 00:05:04,320 --> 00:05:07,480 to Schmidt's vision, the AI revolution. 140 00:05:07,480 --> 00:05:09,600 He doesn't shy away from the big questions, does he? 141 00:05:09,600 --> 00:05:11,000 He calls it, and I quote, 142 00:05:11,000 --> 00:05:13,000 a question of human survival. 143 00:05:13,000 --> 00:05:14,760 Wow, that's a pretty stark statement. 144 00:05:14,760 --> 00:05:15,600 It is. 145 00:05:15,600 --> 00:05:18,160 He believes that AI is progressing so rapidly 146 00:05:18,160 --> 00:05:21,040 that we need to adapt and manage it carefully or risk, 147 00:05:21,040 --> 00:05:23,160 well, some pretty serious consequences. 148 00:05:23,160 --> 00:05:25,440 It's not just about jobs being replaced, is it? 149 00:05:25,440 --> 00:05:26,840 It's something much bigger. 150 00:05:26,840 --> 00:05:27,680 Right. 151 00:05:27,680 --> 00:05:29,920 He's worried about AI systems making decisions 152 00:05:29,920 --> 00:05:32,360 that might not align with our human values. 153 00:05:32,360 --> 00:05:35,880 Like imagine a self-driving car facing a moral dilemma 154 00:05:35,880 --> 00:05:37,720 in an emergency situation. 155 00:05:37,720 --> 00:05:39,360 Oh, I see what you mean. 156 00:05:39,360 --> 00:05:43,160 The AI might choose the most logically efficient option, 157 00:05:43,160 --> 00:05:45,320 but that might not be the most ethically sound one. 158 00:05:45,320 --> 00:05:46,280 Exactly. 159 00:05:46,280 --> 00:05:49,440 And then there's the whole issue of AI and misinformation, 160 00:05:49,440 --> 00:05:51,040 something we're all grappling with these days. 161 00:05:51,040 --> 00:05:52,040 Oh yeah, that's the big... 162 00:05:52,040 --> 00:05:53,600 He actually points to the changes 163 00:05:53,600 --> 00:05:56,080 in social media algorithms around 2015 164 00:05:56,080 --> 00:05:57,960 that led to more targeted feeds. 165 00:05:57,960 --> 00:05:59,880 Hmm, you know, I hadn't thought about it that way, 166 00:05:59,880 --> 00:06:03,400 but those algorithms designed to keep us engaged, 167 00:06:03,400 --> 00:06:05,240 they can also create echo chambers 168 00:06:05,240 --> 00:06:07,440 where misinformation spreads like wildfire. 169 00:06:07,440 --> 00:06:10,320 And potentially fuel anxiety and depression, he argues. 170 00:06:10,320 --> 00:06:12,200 Right, it's like this double-edged sword, 171 00:06:12,200 --> 00:06:14,160 the same tech that connects us 172 00:06:14,160 --> 00:06:16,920 can also be used to manipulate and divide us. 173 00:06:16,920 --> 00:06:18,880 But even with these concerns, 174 00:06:18,880 --> 00:06:21,000 Schmidt believes that AI will ultimately 175 00:06:21,000 --> 00:06:23,520 create more jobs than it eliminates. 176 00:06:23,520 --> 00:06:25,440 So it's not all doom and gloom. 177 00:06:25,440 --> 00:06:27,760 No, he predicts that AI will actually 178 00:06:27,760 --> 00:06:29,680 double everyone's productivity, 179 00:06:29,680 --> 00:06:31,520 leading to new opportunities in markets 180 00:06:31,520 --> 00:06:33,000 we can't even imagine yet. 181 00:06:33,000 --> 00:06:36,080 It's like having an AI assistant with an IQ of 1,000, 182 00:06:36,080 --> 00:06:36,920 as he puts it. 183 00:06:36,920 --> 00:06:39,080 Right, but here's the crucial part. 184 00:06:39,080 --> 00:06:42,760 He believes it won't replace human judgment and creativity, 185 00:06:42,760 --> 00:06:45,080 those uniquely human qualities. 186 00:06:45,080 --> 00:06:48,800 So AI will augment our abilities, not make us obsolete. 187 00:06:48,800 --> 00:06:51,680 Exactly, he uses this great analogy 188 00:06:51,680 --> 00:06:53,840 of a robotic Formula One race 189 00:06:53,840 --> 00:06:55,680 versus one with human drivers. 190 00:06:55,680 --> 00:06:56,920 Okay, I'm intrigued. 191 00:06:56,920 --> 00:06:58,640 Sure, the robots might be faster 192 00:06:58,640 --> 00:06:59,840 and more technically perfect. 193 00:06:59,840 --> 00:07:00,760 But where's the excitement? 194 00:07:00,760 --> 00:07:01,960 Where's the human element? 195 00:07:01,960 --> 00:07:04,880 Exactly, and that's what Schmidt believes will endure, 196 00:07:04,880 --> 00:07:06,640 even in an AI-driven world. 197 00:07:06,640 --> 00:07:08,720 Those things that make us human, our passion, 198 00:07:08,720 --> 00:07:10,680 our creativity, our connection with each other. 199 00:07:10,680 --> 00:07:13,120 Right, but he also introduces this concept 200 00:07:13,120 --> 00:07:15,880 that's both fascinating and a little unsettling. 201 00:07:15,880 --> 00:07:16,720 Raw models. 202 00:07:16,720 --> 00:07:18,160 Raw models, what's that? 203 00:07:18,160 --> 00:07:20,120 These are powerful AI systems 204 00:07:20,120 --> 00:07:23,440 that haven't been refined or filtered for public use. 205 00:07:23,440 --> 00:07:25,440 It's like unteamed potential. 206 00:07:25,440 --> 00:07:28,000 I get it, powerful but unpredictable. 207 00:07:28,000 --> 00:07:29,600 And here's the kicker. 208 00:07:29,600 --> 00:07:32,440 He argues that AI will eventually learn things 209 00:07:32,440 --> 00:07:33,800 that we don't even know. 210 00:07:33,800 --> 00:07:35,480 Whoa, now that's a mind bender. 211 00:07:35,480 --> 00:07:38,480 It is, and it raises some really tough questions, 212 00:07:38,480 --> 00:07:40,440 like how do we test for knowledge 213 00:07:40,440 --> 00:07:41,720 we don't even know exists? 214 00:07:41,720 --> 00:07:44,280 And how do we ensure that we maintain control 215 00:07:44,280 --> 00:07:46,040 over something that's constantly learning 216 00:07:46,040 --> 00:07:48,440 and evolving beyond our own understanding? 217 00:07:48,440 --> 00:07:49,440 Exactly. 218 00:07:49,440 --> 00:07:52,520 He even suggests that we might need to be able to, 219 00:07:52,520 --> 00:07:56,040 and I quote, unplug AI systems at certain points 220 00:07:56,040 --> 00:07:58,160 to prevent unintended consequences. 221 00:07:58,160 --> 00:07:59,760 Like an emergency shutoff switch. 222 00:07:59,760 --> 00:08:02,000 Yeah, like a safeguard, a last resort 223 00:08:02,000 --> 00:08:04,640 to make sure things don't spiral out of control. 224 00:08:04,640 --> 00:08:06,080 It's a sobering thought, 225 00:08:06,080 --> 00:08:08,640 but it highlights the need to approach AI development 226 00:08:08,640 --> 00:08:11,040 with both enthusiasm and caution. 227 00:08:11,040 --> 00:08:12,680 We've covered a lot of ground already, 228 00:08:12,680 --> 00:08:14,720 but this is just the beginning of our deep dive 229 00:08:14,720 --> 00:08:17,480 into Eric Schmidt's insights on the future of AI. 230 00:08:17,480 --> 00:08:19,400 He's definitely given us a lot to chew on. 231 00:08:19,400 --> 00:08:21,760 Stay tuned for more thought-provoking discussions 232 00:08:21,760 --> 00:08:23,400 on the potential and the perils 233 00:08:23,400 --> 00:08:26,720 of this world-changing technology after a quick break. 234 00:08:26,720 --> 00:08:27,720 We'll be right back. 235 00:08:28,720 --> 00:08:29,760 You know we were just talking about 236 00:08:29,760 --> 00:08:32,120 the potential for AI misuse, right? 237 00:08:32,120 --> 00:08:34,320 Yeah, it's a bit unnerving to think about. 238 00:08:34,320 --> 00:08:36,080 Schmidt really doesn't shy away 239 00:08:36,080 --> 00:08:37,840 from the darker possibilities, does he? 240 00:08:37,840 --> 00:08:38,680 Not at all. 241 00:08:38,680 --> 00:08:40,960 He specifically mentions cyber attacks, 242 00:08:40,960 --> 00:08:43,360 even the development of biological weapons. 243 00:08:43,360 --> 00:08:44,680 Oh, that's chilling. 244 00:08:44,680 --> 00:08:47,040 And of course, the spread of misinformation, 245 00:08:47,040 --> 00:08:49,240 but on a scale we haven't even seen yet. 246 00:08:49,240 --> 00:08:51,880 It's almost like a Pandora's box scenario, isn't it? 247 00:08:51,880 --> 00:08:53,000 Once it's open. 248 00:08:53,000 --> 00:08:54,480 Right, but he's not saying 249 00:08:54,480 --> 00:08:57,160 we should stop AI development altogether. 250 00:08:57,160 --> 00:08:59,840 More like a call for caution and proactiveness, I think. 251 00:08:59,840 --> 00:09:01,520 Yeah, he's urging us to think ahead, 252 00:09:01,520 --> 00:09:03,480 not just about technological safeguards, 253 00:09:03,480 --> 00:09:05,360 but about the societal impact as well. 254 00:09:05,360 --> 00:09:07,800 So it's not just a tech issue, it's a human issue. 255 00:09:07,800 --> 00:09:11,200 Exactly, we need more education, open discussions, 256 00:09:11,200 --> 00:09:13,680 you know, really trying to anticipate 257 00:09:13,680 --> 00:09:17,160 the ethical dilemmas that AI will inevitably bring up. 258 00:09:17,160 --> 00:09:20,200 Sounds like he's advocating for a more holistic approach, 259 00:09:20,200 --> 00:09:21,640 considering the human element 260 00:09:21,640 --> 00:09:24,400 alongside the technological advancements. 261 00:09:24,400 --> 00:09:26,920 Absolutely, and it's not all doom and gloom, 262 00:09:26,920 --> 00:09:28,640 you know, when it comes to the future. 263 00:09:28,640 --> 00:09:30,160 Schmidt is actually more concerned 264 00:09:30,160 --> 00:09:32,360 that we won't adopt AI fast enough. 265 00:09:32,360 --> 00:09:33,200 Really? 266 00:09:33,200 --> 00:09:34,040 That's surprising. 267 00:09:34,040 --> 00:09:35,040 Usually it's the opposite of people 268 00:09:35,040 --> 00:09:37,400 warning about the dangers of AI moving too quickly. 269 00:09:37,400 --> 00:09:38,400 I know, right. 270 00:09:38,400 --> 00:09:41,640 But he sees this incredible potential for AI 271 00:09:41,640 --> 00:09:44,720 to address some of the world's most pressing problems. 272 00:09:44,720 --> 00:09:46,040 Like what specifically? 273 00:09:46,040 --> 00:09:48,800 Well, he talks about education and healthcare for starters. 274 00:09:48,800 --> 00:09:51,880 Oh, I see, so using AI to improve those sectors? 275 00:09:51,880 --> 00:09:52,720 Exactly. 276 00:09:52,720 --> 00:09:56,040 He believes AI could create a more level playing field, 277 00:09:56,040 --> 00:09:58,520 you know, giving everyone access to quality education 278 00:09:58,520 --> 00:10:00,400 and medical care, no matter where they live 279 00:10:00,400 --> 00:10:01,840 or their economic background. 280 00:10:01,840 --> 00:10:04,160 It's a powerful idea, using technology 281 00:10:04,160 --> 00:10:05,600 to bridge those gaps. 282 00:10:05,600 --> 00:10:08,640 It is. Imagine a world where everyone has access 283 00:10:08,640 --> 00:10:12,640 to an AI tutor that adapts to their individual learning style 284 00:10:12,640 --> 00:10:15,120 or AI-powered diagnostic tools 285 00:10:15,120 --> 00:10:18,680 that can help doctors make faster, more accurate diagnoses. 286 00:10:18,680 --> 00:10:20,960 It sounds almost utopian, but in a good way. 287 00:10:20,960 --> 00:10:23,240 Right, but even with all these advancements, 288 00:10:23,240 --> 00:10:26,560 Schmidt emphasizes that human connection and achievement, 289 00:10:26,560 --> 00:10:28,320 they'll still be at the heart of it all. 290 00:10:28,320 --> 00:10:31,400 So he's not predicting some kind of dystopian future 291 00:10:31,400 --> 00:10:33,840 where humans are just cogs in the machine? 292 00:10:33,840 --> 00:10:34,880 No, not at all. 293 00:10:34,880 --> 00:10:38,440 He sees AI as enhancing our capabilities, 294 00:10:38,440 --> 00:10:41,440 not replacing the things that make us human. 295 00:10:41,440 --> 00:10:43,200 Our creativity, our empathy, 296 00:10:43,200 --> 00:10:45,080 our drive to connect with each other? 297 00:10:45,080 --> 00:10:47,720 All of that, those things will still be essential, 298 00:10:47,720 --> 00:10:49,680 even in an AI-driven world. 299 00:10:49,680 --> 00:10:52,280 He brings it back to that Formula One analogy, doesn't he? 300 00:10:52,280 --> 00:10:53,160 He does. 301 00:10:53,160 --> 00:10:56,560 Even if you had robotic drivers that were technically perfect, 302 00:10:56,560 --> 00:10:59,160 there's still something captivating about the human element. 303 00:10:59,160 --> 00:11:02,640 The risk-taking, the passion, the unpredictability. 304 00:11:02,640 --> 00:11:03,560 Exactly. 305 00:11:03,560 --> 00:11:05,680 That's what Schmidt believes will endure, 306 00:11:05,680 --> 00:11:07,760 even as AI continues to evolve. 307 00:11:07,760 --> 00:11:09,080 But speaking of evolution, 308 00:11:09,080 --> 00:11:10,640 he also brings up the possibility 309 00:11:10,640 --> 00:11:13,320 of AI agents developing their own language. 310 00:11:13,320 --> 00:11:14,240 Yeah, I remember that part. 311 00:11:14,240 --> 00:11:15,160 It's pretty mind-blowing. 312 00:11:15,160 --> 00:11:16,000 It is. 313 00:11:16,000 --> 00:11:17,560 What happens when AI starts communicating 314 00:11:17,560 --> 00:11:19,160 in ways we don't even understand? 315 00:11:19,160 --> 00:11:20,000 Right. 316 00:11:20,000 --> 00:11:22,560 How do we ensure transparency and accountability then? 317 00:11:22,560 --> 00:11:25,520 It almost feels like crossing a line into the unknown. 318 00:11:25,520 --> 00:11:26,760 It does, doesn't it? 319 00:11:26,760 --> 00:11:29,200 Schmidt sees this potential development 320 00:11:29,200 --> 00:11:31,440 as a crucial point for intervention. 321 00:11:31,440 --> 00:11:34,600 A moment where we need to reassert our role 322 00:11:34,600 --> 00:11:36,640 as the architects of this technology. 323 00:11:36,640 --> 00:11:39,600 So not just letting AI develop on its own, 324 00:11:39,600 --> 00:11:42,240 but actively shaping its trajectory. 325 00:11:42,240 --> 00:11:43,080 Exactly. 326 00:11:43,080 --> 00:11:46,440 And this brings up the geopolitical implications, too. 327 00:11:46,440 --> 00:11:48,680 There are serious concerns about nations 328 00:11:48,680 --> 00:11:50,800 using AI for malicious purposes. 329 00:11:50,800 --> 00:11:52,640 Oh, yeah, especially with the rising tensions 330 00:11:52,640 --> 00:11:53,840 we're seeing globally. 331 00:11:53,840 --> 00:11:55,360 Schmidt acknowledges those concerns. 332 00:11:55,360 --> 00:11:56,680 He's been working with governments 333 00:11:56,680 --> 00:11:58,400 and international organizations 334 00:11:58,400 --> 00:12:01,040 to try to prevent a dangerous AI arms race. 335 00:12:01,040 --> 00:12:01,880 That's encouraging. 336 00:12:01,880 --> 00:12:03,880 It's good to know someone with his influence 337 00:12:03,880 --> 00:12:07,480 is pushing for responsible AI development on that level. 338 00:12:07,480 --> 00:12:08,720 It's a complex issue, though. 339 00:12:08,720 --> 00:12:11,720 Finding that balance between harnessing AI's potential 340 00:12:11,720 --> 00:12:13,720 for good while mitigating the risks. 341 00:12:13,720 --> 00:12:14,200 Definitely. 342 00:12:14,200 --> 00:12:15,600 It's not an easy task. 343 00:12:15,600 --> 00:12:18,640 But Schmidt remains cautiously optimistic. 344 00:12:18,640 --> 00:12:19,960 So it's not all doom and gloom. 345 00:12:19,960 --> 00:12:20,880 Not at all. 346 00:12:20,880 --> 00:12:23,800 He believes that if we approach AI with foresight 347 00:12:23,800 --> 00:12:26,520 and responsibility, we can use it to build 348 00:12:26,520 --> 00:12:28,880 a more equitable, more prosperous, and ultimately 349 00:12:28,880 --> 00:12:30,160 a more humane world. 350 00:12:30,160 --> 00:12:33,040 That's a hopeful vision, one worth striving for. 351 00:12:33,040 --> 00:12:33,840 It is. 352 00:12:33,840 --> 00:12:36,200 And it requires all of us to be involved, 353 00:12:36,200 --> 00:12:38,880 asking tough questions, educating ourselves, 354 00:12:38,880 --> 00:12:43,000 and really participating in shaping the development of AI 355 00:12:43,000 --> 00:12:45,400 in a way that reflects our shared values. 356 00:12:45,400 --> 00:12:47,200 So it's not just about the technology itself, 357 00:12:47,200 --> 00:12:49,440 but about the choices we make as a society. 358 00:12:49,440 --> 00:12:50,600 Exactly. 359 00:12:50,600 --> 00:12:53,160 And as we delve further into Schmidt's insights, 360 00:12:53,160 --> 00:12:55,440 I think it's a good time to reflect. 361 00:12:55,440 --> 00:12:57,000 What questions come to mind for you? 362 00:12:57,000 --> 00:13:00,000 What aspect of AI, whether positive or negative, 363 00:13:00,000 --> 00:13:01,560 keeps you up at night? 364 00:13:01,560 --> 00:13:03,160 That's a great question to ponder. 365 00:13:03,160 --> 00:13:05,480 And we'll continue exploring these complex issues 366 00:13:05,480 --> 00:13:06,520 after a short break. 367 00:13:06,520 --> 00:13:07,440 Stay tuned. 368 00:13:07,440 --> 00:13:10,080 We left off talking about some pretty heavy stuff, 369 00:13:10,080 --> 00:13:13,520 you know, the potential for AI to be used for harmful purposes. 370 00:13:13,520 --> 00:13:15,960 Yeah, it's easy to get caught up in those what-if scenarios, 371 00:13:15,960 --> 00:13:18,240 especially with something as powerful as AI. 372 00:13:18,240 --> 00:13:20,320 But I appreciate that Schmidt doesn't just 373 00:13:20,320 --> 00:13:21,520 dwell on the negatives. 374 00:13:21,520 --> 00:13:23,360 He brings it back to the human element. 375 00:13:23,360 --> 00:13:23,640 Right. 376 00:13:23,640 --> 00:13:26,560 He keeps emphasizing that AI is a tool, 377 00:13:26,560 --> 00:13:28,960 and it is up to us to decide how we use it. 378 00:13:28,960 --> 00:13:31,680 He's really advocating for active participation, 379 00:13:31,680 --> 00:13:33,480 not just blind acceptance. 380 00:13:33,480 --> 00:13:36,520 You know, we need to be informed and engaged citizens. 381 00:13:36,520 --> 00:13:37,480 Absolutely. 382 00:13:37,480 --> 00:13:40,800 He talks about critical thinking, questioning assumptions, 383 00:13:40,800 --> 00:13:42,480 being aware of our own biases. 384 00:13:42,480 --> 00:13:46,240 Because AI is going to impact every aspect of our lives, right? 385 00:13:46,240 --> 00:13:46,600 I don't know. 386 00:13:46,600 --> 00:13:48,240 It's not just about tech skills anymore. 387 00:13:48,240 --> 00:13:48,760 Exactly. 388 00:13:48,760 --> 00:13:51,840 It's about being informed and making conscious decisions 389 00:13:51,840 --> 00:13:54,960 about the role we want AI to play in society. 390 00:13:54,960 --> 00:13:59,760 And this whole idea of maintaining human control over AI, 391 00:13:59,760 --> 00:14:02,200 it keeps coming up, you know? 392 00:14:02,200 --> 00:14:04,680 Schmidt highlighted some specific situations 393 00:14:04,680 --> 00:14:06,640 where intervention seems crucial. 394 00:14:06,640 --> 00:14:07,920 Like what, for example? 395 00:14:07,920 --> 00:14:11,240 Well, remember the concept of recursive self-improvement, 396 00:14:11,240 --> 00:14:14,080 where AI systems could potentially design and improve 397 00:14:14,080 --> 00:14:16,000 themselves at an exponential rate. 398 00:14:16,000 --> 00:14:16,480 Oh, yeah. 399 00:14:16,480 --> 00:14:17,720 That was a bit unsettling. 400 00:14:17,720 --> 00:14:18,160 It is. 401 00:14:18,160 --> 00:14:20,240 It's like imagining a machine that can constantly 402 00:14:20,240 --> 00:14:22,960 outsmart itself, potentially surpassing our ability 403 00:14:22,960 --> 00:14:24,560 to understand or control it. 404 00:14:24,560 --> 00:14:25,200 I see what you mean. 405 00:14:25,200 --> 00:14:26,800 It could get away from us pretty quickly. 406 00:14:26,800 --> 00:14:27,160 Right. 407 00:14:27,160 --> 00:14:29,720 And Schmidt suggests that we might need mechanisms 408 00:14:29,720 --> 00:14:32,200 to unplug AI systems at certain points. 409 00:14:32,200 --> 00:14:33,360 Like a kill switch. 410 00:14:33,360 --> 00:14:35,720 Yeah, like a safeguard and emergency break 411 00:14:35,720 --> 00:14:38,120 to ensure things don't spiral out of control. 412 00:14:38,120 --> 00:14:39,800 It's a pretty drastic measure. 413 00:14:39,800 --> 00:14:41,720 But I guess it highlights the seriousness 414 00:14:41,720 --> 00:14:43,000 of the potential risks. 415 00:14:43,000 --> 00:14:43,960 Definitely. 416 00:14:43,960 --> 00:14:45,800 And he also brought up the possibility 417 00:14:45,800 --> 00:14:48,480 of AI agents developing their own language. 418 00:14:48,480 --> 00:14:48,760 Right. 419 00:14:48,760 --> 00:14:51,240 That was mind-boggling AI systems communicating 420 00:14:51,240 --> 00:14:52,720 in ways we don't understand. 421 00:14:52,720 --> 00:14:53,320 Exactly. 422 00:14:53,320 --> 00:14:56,640 What does that even mean for transparency and accountability? 423 00:14:56,640 --> 00:14:59,680 It would make it much harder to track what AI is doing 424 00:14:59,680 --> 00:15:00,920 and why, wouldn't it? 425 00:15:00,920 --> 00:15:01,400 Right. 426 00:15:01,400 --> 00:15:04,480 And Schmidt believes that scenario would be a red flag, 427 00:15:04,480 --> 00:15:07,040 a moment to step in and reassert our role 428 00:15:07,040 --> 00:15:09,120 as the architects of this technology. 429 00:15:09,120 --> 00:15:11,840 So not just passively observing its development, 430 00:15:11,840 --> 00:15:14,240 but actively shaping its direction. 431 00:15:14,240 --> 00:15:15,040 Exactly. 432 00:15:15,040 --> 00:15:18,280 And these ethical guidelines become even more crucial 433 00:15:18,280 --> 00:15:20,880 when you consider AI weaponry, something Schmidt 434 00:15:20,880 --> 00:15:22,240 has been quite vocal about. 435 00:15:22,240 --> 00:15:24,400 Oh, yeah, he's been working on the international stage 436 00:15:24,400 --> 00:15:27,520 trying to prevent a dangerous AI arms race. 437 00:15:27,520 --> 00:15:29,560 It highlights that this isn't just a tech issue. 438 00:15:29,560 --> 00:15:32,320 It has huge geopolitical implications as well. 439 00:15:32,320 --> 00:15:34,440 And yet, amidst all these concerns, 440 00:15:34,440 --> 00:15:37,440 Schmidt also said something that really surprised me. 441 00:15:37,440 --> 00:15:39,880 My actual fear is that we're not going 442 00:15:39,880 --> 00:15:43,160 to adopt AI fast enough to solve the problems that 443 00:15:43,160 --> 00:15:44,360 affect everybody. 444 00:15:44,360 --> 00:15:44,920 Really? 445 00:15:44,920 --> 00:15:46,800 That's kind of the opposite of what we usually hear. 446 00:15:46,800 --> 00:15:48,960 Most people are worried about AI moving too fast. 447 00:15:48,960 --> 00:15:50,320 I know, right? 448 00:15:50,320 --> 00:15:53,440 But it shows how strongly he believes in AI's potential 449 00:15:53,440 --> 00:15:55,760 to solve some of humanity's biggest challenges. 450 00:15:55,760 --> 00:15:58,240 He sees it as a tool for good, a way 451 00:15:58,240 --> 00:16:01,400 to make real progress in areas like education, health care, 452 00:16:01,400 --> 00:16:03,800 climate change, even poverty. 453 00:16:03,800 --> 00:16:06,080 So it's not about rejecting AI out of fear. 454 00:16:06,080 --> 00:16:07,800 It's about finding that balance, right? 455 00:16:07,800 --> 00:16:08,360 Exactly. 456 00:16:08,360 --> 00:16:11,240 Acknowledging the risks, but not letting them paralyze us, 457 00:16:11,240 --> 00:16:14,800 we need to move forward with both enthusiasm and caution. 458 00:16:14,800 --> 00:16:17,560 He's got this vision of a future where AI empowers 459 00:16:17,560 --> 00:16:20,440 individuals and communities, where everyone has access 460 00:16:20,440 --> 00:16:23,440 to personalized learning tools and the best medical care. 461 00:16:23,440 --> 00:16:26,240 It's a powerful image, a world where technology helps 462 00:16:26,240 --> 00:16:29,760 us create a more equitable and prosperous future for everyone. 463 00:16:29,760 --> 00:16:31,560 But realizing that vision requires us 464 00:16:31,560 --> 00:16:34,600 to be actively involved, to engage in these conversations, 465 00:16:34,600 --> 00:16:37,880 and make conscious choices about the role we want AI 466 00:16:37,880 --> 00:16:39,320 to play in our lives. 467 00:16:39,320 --> 00:16:41,960 Well, I think this deep dive into Eric Schmidt's perspective 468 00:16:41,960 --> 00:16:43,720 has given us a lot to think about, 469 00:16:43,720 --> 00:16:47,000 both the potential benefits and the potential pitfalls of AI. 470 00:16:47,000 --> 00:16:48,480 It has. 471 00:16:48,480 --> 00:16:51,160 And it's clear that this conversation is just beginning. 472 00:16:51,160 --> 00:16:53,080 AI is evolving rapidly. 473 00:16:53,080 --> 00:16:55,720 And it's going to impact each of us in profound ways. 474 00:16:55,720 --> 00:16:58,440 So as we wrap up this episode, I encourage you 475 00:16:58,440 --> 00:17:01,520 to reflect on what you've heard, to ask those tough questions, 476 00:17:01,520 --> 00:17:04,480 and to participate in shaping the future of AI in a way 477 00:17:04,480 --> 00:17:06,680 that reflects our shared values. 478 00:17:06,680 --> 00:17:09,200 Remember, this isn't just about algorithms and code. 479 00:17:09,200 --> 00:17:12,800 It's about us, our choices, our vision for the world 480 00:17:12,800 --> 00:17:13,840 we want to create. 481 00:17:13,840 --> 00:17:15,600 Thanks for joining us on this deep dive. 482 00:17:15,600 --> 00:17:17,480 Stay curious and keep exploring. 483 00:17:17,480 --> 00:17:45,720 The future is in our hands.