1 00:00:00,000 --> 00:00:03,180 Welcome back everybody for another deep dive. 2 00:00:03,180 --> 00:00:06,020 Today we're gonna be tackling AI, 3 00:00:06,020 --> 00:00:07,660 but not just the technology itself. 4 00:00:07,660 --> 00:00:09,860 We're gonna be looking at the forces behind it, 5 00:00:09,860 --> 00:00:11,740 the battle for its control, 6 00:00:11,740 --> 00:00:14,180 and what it could mean for all of our futures. 7 00:00:14,180 --> 00:00:17,140 Our sources today are, well, they're really fascinating. 8 00:00:17,140 --> 00:00:18,860 You've shared some excerpts from a piece called 9 00:00:18,860 --> 00:00:22,180 They When We Lose, and it takes a pretty critical look 10 00:00:22,180 --> 00:00:23,220 at all these questions. 11 00:00:23,220 --> 00:00:24,900 Yeah, this piece really, I think it raises 12 00:00:24,900 --> 00:00:27,020 some really important points, and it uses Sam Altman, 13 00:00:27,020 --> 00:00:29,820 who is the CEO of OpenAI, as like a case study 14 00:00:29,820 --> 00:00:32,180 to kind of explore this landscape. 15 00:00:32,180 --> 00:00:33,940 And he's a pretty compelling figure. 16 00:00:33,940 --> 00:00:36,620 I mean, his vision for AI seems to be at the center 17 00:00:36,620 --> 00:00:38,140 of this whole debate. 18 00:00:38,140 --> 00:00:41,340 Right, and you've sent us some stuff that suggests 19 00:00:41,340 --> 00:00:43,620 that his background really heavily influences 20 00:00:43,620 --> 00:00:44,820 his approach to AI. 21 00:00:44,820 --> 00:00:46,300 So let's examine this for a second. 22 00:00:46,300 --> 00:00:49,720 How might his Y Combinator experience translate 23 00:00:49,720 --> 00:00:51,700 to the development and control of AI? 24 00:00:51,700 --> 00:00:53,900 Well, I mean, that's a crucial question. 25 00:00:53,900 --> 00:00:56,020 Why combinators investment strategy is all about 26 00:00:56,020 --> 00:00:57,900 like rapid growth and market dominance? 27 00:00:57,900 --> 00:01:00,020 You know, often starting with a very specific niche. 28 00:01:00,020 --> 00:01:02,620 And they've had immense success with this approach. 29 00:01:02,620 --> 00:01:06,420 You know, think about companies like Airbnb, Gordash, Uber. 30 00:01:06,420 --> 00:01:09,020 So it's natural to wonder if Altman is kind of applying 31 00:01:09,020 --> 00:01:10,980 a similar playbook to AI. 32 00:01:10,980 --> 00:01:14,580 So what are your thoughts then on Altman's approach 33 00:01:14,580 --> 00:01:18,100 to AI given his history with Y Combinator? 34 00:01:18,100 --> 00:01:20,980 Well, it's interesting to consider how that background 35 00:01:20,980 --> 00:01:22,500 might shape his vision. 36 00:01:22,500 --> 00:01:25,380 On the one hand, you know, he talks about this potential 37 00:01:25,380 --> 00:01:29,340 for AI to just revolutionize productivity and, you know, 38 00:01:29,340 --> 00:01:31,060 create these massive economic benefits. 39 00:01:31,060 --> 00:01:34,140 He even suggests, you know, ideas like universal basic income 40 00:01:34,140 --> 00:01:36,820 to address potential job displacement. 41 00:01:36,820 --> 00:01:39,380 But then on the other hand, he's also spoken about AI 42 00:01:39,380 --> 00:01:41,780 as a potential existential threat, even going so far 43 00:01:41,780 --> 00:01:43,380 as mentioned the possibility of it, you know, 44 00:01:43,380 --> 00:01:44,780 leading to the end of the world. 45 00:01:44,780 --> 00:01:48,020 Wow, so it definitely raises some serious questions 46 00:01:48,020 --> 00:01:51,980 about the potential consequences of his vision. 47 00:01:51,980 --> 00:01:54,020 I mean, is he trying to have it both ways, 48 00:01:54,020 --> 00:01:56,380 like highlighting the potential benefits 49 00:01:56,380 --> 00:01:57,900 while downplaying the risks? 50 00:01:57,900 --> 00:01:59,580 Yeah, I mean, that's one interpretation. 51 00:01:59,580 --> 00:02:02,100 And it's worth noting that open AI itself 52 00:02:02,100 --> 00:02:04,060 has undergone a significant evolution. 53 00:02:04,060 --> 00:02:05,780 You know, it started as a nonprofit 54 00:02:05,780 --> 00:02:07,260 and it was very focused on ensuring 55 00:02:07,260 --> 00:02:09,300 that AI benefits humanity. 56 00:02:09,300 --> 00:02:11,180 But it's since transitioned to, well, 57 00:02:11,180 --> 00:02:13,740 what they call a mixed profit model. 58 00:02:13,740 --> 00:02:16,300 This idea of mixed profit, I mean, it's intriguing. 59 00:02:16,300 --> 00:02:18,780 Can you shed some light on what that actually entails? 60 00:02:18,780 --> 00:02:22,540 What's the balance between profit and purpose in this model? 61 00:02:22,540 --> 00:02:24,700 Well, it's a bit of a gray area, to be honest. 62 00:02:24,700 --> 00:02:27,340 The details of this model are entirely clear, you know, 63 00:02:27,340 --> 00:02:29,700 and the transition also involves significant investment 64 00:02:29,700 --> 00:02:32,620 from figures like Elon Musk and Peter Thiel. 65 00:02:32,620 --> 00:02:36,060 And that raises questions about the organization's priorities. 66 00:02:36,060 --> 00:02:38,020 And then their current focus on, you know, 67 00:02:38,020 --> 00:02:41,420 enterprise software partnerships with large corporations, 68 00:02:41,420 --> 00:02:43,980 it further fuels this whole debate. 69 00:02:43,980 --> 00:02:47,380 Is this truly about benefiting humanity? 70 00:02:47,380 --> 00:02:50,860 Or is profit now the primary driver? 71 00:02:50,860 --> 00:02:53,260 Right, and that brings us to another key point 72 00:02:53,260 --> 00:02:55,540 from the material you shared, which is this idea 73 00:02:55,540 --> 00:02:57,940 that a few heavily funded companies, 74 00:02:57,940 --> 00:03:00,140 they're dominating the AI landscape. 75 00:03:00,140 --> 00:03:03,100 And you've voiced some concern about the lack of competition 76 00:03:03,100 --> 00:03:04,100 in the AI industry. 77 00:03:04,100 --> 00:03:07,140 So could you elaborate on how this Uber problem, 78 00:03:07,140 --> 00:03:10,460 as Tim O'Reilly calls it, how might it specifically impact 79 00:03:10,460 --> 00:03:12,260 AI development and access? 80 00:03:12,260 --> 00:03:14,260 Yeah, you know, O'Reilly, he argues 81 00:03:14,260 --> 00:03:17,060 that we're basically seeing a repeat of what happened 82 00:03:17,060 --> 00:03:20,420 with companies like Uber, you know, this flood of capital, 83 00:03:20,420 --> 00:03:24,060 creating a few dominant players that just squeeze out 84 00:03:24,060 --> 00:03:24,940 the competition. 85 00:03:24,940 --> 00:03:27,700 And if this dynamic plays out in the AI industry, 86 00:03:27,700 --> 00:03:29,820 we could end up with just a handful of companies 87 00:03:29,820 --> 00:03:32,500 controlling this incredibly powerful technology. 88 00:03:32,500 --> 00:03:36,220 And that raises some concerns about who sets the agenda, 89 00:03:36,220 --> 00:03:39,060 who benefits, and what happens to those who are left behind. 90 00:03:39,060 --> 00:03:41,620 Right, it definitely paints a concerning picture. 91 00:03:41,620 --> 00:03:46,100 So could this lack of competition then stifle innovation 92 00:03:46,100 --> 00:03:48,820 and limit the potential benefits of AI? 93 00:03:48,820 --> 00:03:51,020 Yeah, I mean, that's a real worry. 94 00:03:51,020 --> 00:03:53,180 If a few companies control the market, 95 00:03:53,180 --> 00:03:55,580 they control the direction of research and development, 96 00:03:55,580 --> 00:03:57,820 they decide what problems AI is used to solve 97 00:03:57,820 --> 00:04:00,300 and who gets to access its benefits. 98 00:04:00,300 --> 00:04:03,460 And this lack of diversity in perspectives and approaches 99 00:04:03,460 --> 00:04:06,860 could lead to a very narrow and potentially, 100 00:04:06,860 --> 00:04:10,100 a harmful vision for the future of AI. 101 00:04:10,100 --> 00:04:14,860 So it seems like we're facing a pretty crucial question here. 102 00:04:14,860 --> 00:04:20,060 Will AI be a force for good benefiting all of humanity? 103 00:04:20,060 --> 00:04:24,340 Or will it primarily serve the interests of a select few? 104 00:04:24,340 --> 00:04:26,980 The material you shared draws a parallel 105 00:04:26,980 --> 00:04:28,500 to the electrification era. 106 00:04:28,500 --> 00:04:31,540 Can you elaborate on that comparison for us? 107 00:04:31,540 --> 00:04:33,980 Yeah, I mean, I think it's an insightful parallel. 108 00:04:33,980 --> 00:04:35,780 The electrification era, it was a period 109 00:04:35,780 --> 00:04:37,940 of immense technological disruption, 110 00:04:37,940 --> 00:04:40,300 not unlike what we're experiencing with AI right now. 111 00:04:40,300 --> 00:04:43,500 And it brought these incredible advancements. 112 00:04:43,500 --> 00:04:46,540 But it also led to some social and economic upheaval. 113 00:04:46,540 --> 00:04:48,380 Yeah, and that period saw the rise 114 00:04:48,380 --> 00:04:50,260 of these really powerful electric companies, 115 00:04:50,260 --> 00:04:54,100 kind of similar to the tech giants we're discussing today. 116 00:04:54,100 --> 00:04:57,340 Were there any efforts back then to regulate those companies 117 00:04:57,340 --> 00:04:59,540 to ensure that the benefits of electricity 118 00:04:59,540 --> 00:05:01,060 were shared more broadly? 119 00:05:01,060 --> 00:05:01,780 Yeah, there were. 120 00:05:01,780 --> 00:05:03,900 And the formation of the International Brotherhood 121 00:05:03,900 --> 00:05:06,940 of Electrical Workers is a prime example of this. 122 00:05:06,940 --> 00:05:09,220 These workers understood the transformative power 123 00:05:09,220 --> 00:05:10,620 of electricity. 124 00:05:10,620 --> 00:05:13,780 But they also recognized the potential dangers 125 00:05:13,780 --> 00:05:16,660 of unchecked technological progress. 126 00:05:16,660 --> 00:05:20,140 So they organized, they demanded safer working conditions, 127 00:05:20,140 --> 00:05:23,660 fair wages, and a more equitable distribution 128 00:05:23,660 --> 00:05:24,300 of the benefits. 129 00:05:24,300 --> 00:05:26,820 So they weren't trying to halt progress, 130 00:05:26,820 --> 00:05:30,300 but rather to shape it in a way that benefited workers 131 00:05:30,300 --> 00:05:32,340 and society as a whole. 132 00:05:32,340 --> 00:05:34,940 It sounds like they recognized that technology itself, 133 00:05:34,940 --> 00:05:36,620 I mean, isn't inherently good or bad. 134 00:05:36,620 --> 00:05:39,780 It's how we use it and who controls it that really matter. 135 00:05:39,780 --> 00:05:40,980 Precisely, yeah. 136 00:05:40,980 --> 00:05:43,460 And that's such a crucial lesson for us today 137 00:05:43,460 --> 00:05:46,660 as we grapple with all the implications of AI. 138 00:05:46,660 --> 00:05:48,220 It's not about fearing technology 139 00:05:48,220 --> 00:05:50,340 or trying to stop its advancement. 140 00:05:50,340 --> 00:05:54,140 It's about ensuring that its development and deployment 141 00:05:54,140 --> 00:05:57,500 align with our values and serve the common good. 142 00:05:57,500 --> 00:05:59,580 While I understand the historical parallel, 143 00:05:59,580 --> 00:06:02,740 I mean, AI just feels different, more complex, 144 00:06:02,740 --> 00:06:06,220 electricity revolutionized infrastructure and labor. 145 00:06:06,220 --> 00:06:10,980 But AI has the potential to impact our creativity, 146 00:06:10,980 --> 00:06:13,180 our decision making, even our very sense of self. 147 00:06:13,180 --> 00:06:15,980 It just feels like we're on the verge of creating something 148 00:06:15,980 --> 00:06:17,540 that could surpass us entirely. 149 00:06:17,540 --> 00:06:18,220 Yeah. 150 00:06:18,220 --> 00:06:20,140 I mean, that's a common concern. 151 00:06:20,140 --> 00:06:24,020 And it's understandable given the rapid pace of AI development. 152 00:06:24,020 --> 00:06:27,380 But remember, at its core, AI is still a tool. 153 00:06:27,380 --> 00:06:29,380 It's a tool that can be used for good or for ill, 154 00:06:29,380 --> 00:06:32,580 depending on the intentions of those who control it. 155 00:06:32,580 --> 00:06:34,820 So you're kind of echoing a sentiment that's 156 00:06:34,820 --> 00:06:36,460 come up a lot in our conversation, which is, 157 00:06:36,460 --> 00:06:38,260 you know, this question of control. 158 00:06:38,260 --> 00:06:40,580 Is it really as simple as ensuring 159 00:06:40,580 --> 00:06:43,620 we have more good guys than bad guys building and deploying 160 00:06:43,620 --> 00:06:46,180 AI as Sam Altman has suggested? 161 00:06:46,180 --> 00:06:51,180 Well, it's tempting to frame it as a battle between good and evil. 162 00:06:51,180 --> 00:06:53,460 But it's far more nuanced than that. 163 00:06:53,460 --> 00:06:55,620 Focusing solely on individual intentions, 164 00:06:55,620 --> 00:06:58,740 it kind of ignores the systemic factors at play. 165 00:06:58,740 --> 00:07:02,100 The relentless pursuit of profit, the concentration of power, 166 00:07:02,100 --> 00:07:05,300 the lack of transparency and accountability, 167 00:07:05,300 --> 00:07:08,020 these are the forces shaping the development of AI, 168 00:07:08,020 --> 00:07:11,580 regardless of the moral compasses of the individuals involved. 169 00:07:11,580 --> 00:07:13,220 Yeah, I understand your point. 170 00:07:13,220 --> 00:07:16,140 But surely there are people within these companies 171 00:07:16,140 --> 00:07:20,100 who genuinely want to use AI to solve real problems, 172 00:07:20,100 --> 00:07:21,700 to make the world a better place. 173 00:07:21,700 --> 00:07:24,900 Are we dismissing their efforts by focusing 174 00:07:24,900 --> 00:07:26,580 on these systemic issues? 175 00:07:26,580 --> 00:07:27,780 Yeah, not at all. 176 00:07:27,780 --> 00:07:30,580 I mean, individual good intentions, they're important. 177 00:07:30,580 --> 00:07:32,860 But they can easily get lost within a system 178 00:07:32,860 --> 00:07:35,180 that prioritizes profit above all else. 179 00:07:35,180 --> 00:07:36,660 That's why we need strong regulations. 180 00:07:36,660 --> 00:07:38,180 We need ethical guidelines. 181 00:07:38,180 --> 00:07:41,300 And we need a more democratic approach to AI development. 182 00:07:41,300 --> 00:07:43,300 It's about creating a framework that 183 00:07:43,300 --> 00:07:46,460 incentivizes responsible behavior and prevents 184 00:07:46,460 --> 00:07:48,980 the potential harms that can arise from unchecked 185 00:07:48,980 --> 00:07:50,260 technological advancement. 186 00:07:50,260 --> 00:07:53,580 So what might that framework look like in practice? 187 00:07:53,580 --> 00:07:56,180 Are we talking about government interventions, 188 00:07:56,180 --> 00:08:00,260 stricter oversight, some kind of global AI ethics council? 189 00:08:00,260 --> 00:08:04,540 What are some concrete examples of how we can ensure 190 00:08:04,540 --> 00:08:07,380 that AI benefits all of humanity? 191 00:08:07,380 --> 00:08:09,900 Well, there are many potential avenues for action. 192 00:08:09,900 --> 00:08:12,940 And it likely requires a multifaceted approach. 193 00:08:12,940 --> 00:08:16,340 One idea is to treat AI development more like a public 194 00:08:16,340 --> 00:08:17,220 utility. 195 00:08:17,220 --> 00:08:19,940 Just as we regulate essential services like electricity 196 00:08:19,940 --> 00:08:23,100 and water to ensure fair access and prevent monopolies, 197 00:08:23,100 --> 00:08:26,060 we could apply similar principles to AI. 198 00:08:26,060 --> 00:08:28,540 This could involve establishing clear guidelines 199 00:08:28,540 --> 00:08:30,860 for data usage, promoting open source development, 200 00:08:30,860 --> 00:08:35,340 and creating mechanisms for public oversight and accountability. 201 00:08:35,340 --> 00:08:37,020 That's an interesting concept. 202 00:08:37,020 --> 00:08:40,340 Instead of letting a handful of tech giants control AI, 203 00:08:40,340 --> 00:08:43,260 we treat it as a public good, something 204 00:08:43,260 --> 00:08:46,260 that everyone has access to and benefits from. 205 00:08:46,260 --> 00:08:49,660 Are there other approaches that could be effective 206 00:08:49,660 --> 00:08:55,060 in shaping the future of AI, regulating AI, like a public 207 00:08:55,060 --> 00:08:55,380 utility? 208 00:08:55,380 --> 00:08:57,180 I mean, that's a fascinating concept. 209 00:08:57,180 --> 00:09:02,340 What other approaches could help ensure that AI benefits all 210 00:09:02,340 --> 00:09:03,140 of humanity? 211 00:09:03,140 --> 00:09:03,940 Yeah. 212 00:09:03,940 --> 00:09:07,460 Another critical area is data rights and privacy. 213 00:09:07,460 --> 00:09:09,980 AI systems, they're trained on these massive data sets, 214 00:09:09,980 --> 00:09:12,580 often collected without our knowledge or consent. 215 00:09:12,580 --> 00:09:14,980 So strengthening data protection laws 216 00:09:14,980 --> 00:09:16,460 and giving individuals more control 217 00:09:16,460 --> 00:09:19,060 over their personal information is essential. 218 00:09:19,060 --> 00:09:21,660 This includes the right to know what data is being collected, 219 00:09:21,660 --> 00:09:25,140 how it's being used, and the ability to opt out. 220 00:09:25,140 --> 00:09:25,860 Yeah. 221 00:09:25,860 --> 00:09:26,820 That makes a lot of sense. 222 00:09:26,820 --> 00:09:29,420 AI is only as good as the data it's trained on, right? 223 00:09:29,420 --> 00:09:32,860 So if that data is biased or incomplete or collected 224 00:09:32,860 --> 00:09:34,700 unethically, I mean, the resulting AI 225 00:09:34,700 --> 00:09:36,140 is going to reflect those flaws. 226 00:09:36,140 --> 00:09:40,060 So we need to address the source if we want to ensure 227 00:09:40,060 --> 00:09:41,100 positive outcomes. 228 00:09:41,100 --> 00:09:41,580 Absolutely. 229 00:09:41,580 --> 00:09:44,140 And beyond data, transparency and accountability 230 00:09:44,140 --> 00:09:45,780 are just their paramount. 231 00:09:45,780 --> 00:09:47,500 Right now, so much of AI development 232 00:09:47,500 --> 00:09:50,860 happens behind closed doors with very little public scrutiny. 233 00:09:50,860 --> 00:09:54,460 So we need mechanisms to audit these AI systems, 234 00:09:54,460 --> 00:09:58,300 to understand how they work, to identify potential biases, 235 00:09:58,300 --> 00:10:00,900 and to hold those who create and deploy them 236 00:10:00,900 --> 00:10:02,740 accountable for their impact. 237 00:10:02,740 --> 00:10:05,660 So more openness, more public debate, 238 00:10:05,660 --> 00:10:09,500 more citizen involvement in shaping the future of AI. 239 00:10:09,500 --> 00:10:13,340 It seems like this requires a significant shift in mindset, 240 00:10:13,340 --> 00:10:16,740 not just from tech companies, but from society as a whole. 241 00:10:16,740 --> 00:10:19,020 You're hitting on a really crucial point. 242 00:10:19,020 --> 00:10:22,420 We need to move away from this passive acceptance 243 00:10:22,420 --> 00:10:25,300 of technological determinism. 244 00:10:25,300 --> 00:10:28,180 The idea that technology is just this unstoppable force 245 00:10:28,180 --> 00:10:29,700 that we have no control over. 246 00:10:29,700 --> 00:10:33,060 The future of AI is not predetermined. 247 00:10:33,060 --> 00:10:36,420 It's up to us to shape it, to guide it in a direction 248 00:10:36,420 --> 00:10:39,660 that benefits all of humanity. 249 00:10:39,660 --> 00:10:40,700 OK. 250 00:10:40,700 --> 00:10:43,420 Yeah, I'm starting to feel a bit more optimistic. 251 00:10:43,420 --> 00:10:45,180 It's not just about sitting back and waiting 252 00:10:45,180 --> 00:10:46,460 for the AI apocalypse. 253 00:10:46,460 --> 00:10:49,540 It's about actively participating in shaping 254 00:10:49,540 --> 00:10:51,020 the future we want. 255 00:10:51,020 --> 00:10:52,900 It's about reclaiming agency. 256 00:10:52,900 --> 00:10:53,420 Exactly. 257 00:10:53,420 --> 00:10:55,940 And there are already movements and initiatives out there 258 00:10:55,940 --> 00:10:59,260 that are pushing for a more ethical and equitable approach 259 00:10:59,260 --> 00:10:59,780 to AI. 260 00:10:59,780 --> 00:11:01,700 You know, the recent writer strike, 261 00:11:01,700 --> 00:11:04,580 it highlighted the need to protect creative labor 262 00:11:04,580 --> 00:11:07,180 in the face of ad-generated content. 263 00:11:07,180 --> 00:11:10,700 Senator Bernie Sanders, his proposal for a shorter work 264 00:11:10,700 --> 00:11:14,180 week, acknowledges that we need to adapt our economic systems 265 00:11:14,180 --> 00:11:18,060 to a future where automation plays a much more prominent role. 266 00:11:18,060 --> 00:11:20,700 So it's not just about stopping AI. 267 00:11:20,700 --> 00:11:23,500 It's about figuring out how to live with it, 268 00:11:23,500 --> 00:11:28,020 how to ensure that it enhances our lives rather than diminishes 269 00:11:28,020 --> 00:11:28,580 them. 270 00:11:28,580 --> 00:11:29,260 Precisely. 271 00:11:29,260 --> 00:11:33,420 AI at its core is a product of human ingenuity. 272 00:11:33,420 --> 00:11:35,340 It's built on the collective knowledge and labor 273 00:11:35,340 --> 00:11:37,020 of countless individuals. 274 00:11:37,020 --> 00:11:38,900 And therefore, it should ultimately 275 00:11:38,900 --> 00:11:42,060 serve the interests of all humanity, not just to select few. 276 00:11:42,060 --> 00:11:43,100 Well, I'm fired up. 277 00:11:43,100 --> 00:11:44,660 I'm ready to get involved. 278 00:11:44,660 --> 00:11:46,300 But where do we start? 279 00:11:46,300 --> 00:11:50,300 What can ordinary people do to kind of influence 280 00:11:50,300 --> 00:11:52,780 the direction of AI development? 281 00:11:52,780 --> 00:11:54,060 Yeah, it's a great question. 282 00:11:54,060 --> 00:11:57,460 I mean, it can feel overwhelming, but collective action, 283 00:11:57,460 --> 00:11:59,860 it always starts with individual steps. 284 00:11:59,860 --> 00:12:03,140 Even small actions can contribute to a larger movement. 285 00:12:03,140 --> 00:12:04,460 First and foremost, stay informed. 286 00:12:04,460 --> 00:12:07,620 Read articles, books, reports, from diverse sources. 287 00:12:07,620 --> 00:12:10,140 Don't just rely on the tech giants' narratives. 288 00:12:10,140 --> 00:12:13,180 Seek out critical perspectives from ethicists, social 289 00:12:13,180 --> 00:12:14,300 scientists, activists. 290 00:12:14,300 --> 00:12:17,300 So basically, don't just drink the Silicon Valley Kool-Aid. 291 00:12:17,300 --> 00:12:19,780 What else can we do? 292 00:12:19,780 --> 00:12:21,780 Support organizations and initiatives 293 00:12:21,780 --> 00:12:24,820 that align with your values. 294 00:12:24,820 --> 00:12:28,140 There are groups advocating for responsible AI development, 295 00:12:28,140 --> 00:12:31,260 data privacy, algorithmic transparency, worker rights. 296 00:12:31,260 --> 00:12:34,420 Find the ones that resonate with you and get involved. 297 00:12:34,420 --> 00:12:38,460 So donations, volunteering, spreading awareness, things 298 00:12:38,460 --> 00:12:38,820 like that. 299 00:12:38,820 --> 00:12:39,380 Exactly. 300 00:12:39,380 --> 00:12:42,940 And don't underestimate the power of your voice. 301 00:12:42,940 --> 00:12:45,020 Talk to your friends, your family, your colleagues 302 00:12:45,020 --> 00:12:46,300 about these issues. 303 00:12:46,300 --> 00:12:50,340 Raise awareness on social media right to your elected officials. 304 00:12:50,340 --> 00:12:53,260 The more people understand and engage 305 00:12:53,260 --> 00:12:55,500 with the challenges of AI, the more pressure 306 00:12:55,500 --> 00:12:58,500 we can put on those in power to make 307 00:12:58,500 --> 00:12:59,580 responsible decisions. 308 00:12:59,580 --> 00:13:01,460 Thinking globally, acting locally. 309 00:13:01,460 --> 00:13:02,100 Absolutely. 310 00:13:02,100 --> 00:13:04,940 Every conversation, every action, every bit of awareness 311 00:13:04,940 --> 00:13:09,180 we raise, it contributes to a more informed and engaged 312 00:13:09,180 --> 00:13:09,780 public. 313 00:13:09,780 --> 00:13:13,100 And that's crucial for shaping the future of AI. 314 00:13:13,100 --> 00:13:13,660 Yeah. 315 00:13:13,660 --> 00:13:16,740 It's not just about protesting or hacking systems. 316 00:13:16,740 --> 00:13:20,180 It's about changing the culture around AI, 317 00:13:20,180 --> 00:13:23,580 making it a topic that everyone cares about and has a say in. 318 00:13:23,580 --> 00:13:24,300 Precisely. 319 00:13:24,300 --> 00:13:28,100 It's about democratizing the conversation around AI. 320 00:13:28,100 --> 00:13:31,060 Moving away from this idea that it's just a technical issue 321 00:13:31,060 --> 00:13:34,940 for experts to figure out, this is about our future, 322 00:13:34,940 --> 00:13:37,260 our society, our values. 323 00:13:37,260 --> 00:13:39,020 We all have a stake in this. 324 00:13:39,020 --> 00:13:41,340 Looking back at the early days of the internet, 325 00:13:41,340 --> 00:13:43,940 there is this sense of optimism, this feeling 326 00:13:43,940 --> 00:13:47,700 that we were building a more connected, a more democratic 327 00:13:47,700 --> 00:13:48,740 world somewhere along the way. 328 00:13:48,740 --> 00:13:50,580 I mean, we kind of lost sight of that. 329 00:13:50,580 --> 00:13:51,080 We did. 330 00:13:51,080 --> 00:13:54,540 And it's important to remember that the same forces that 331 00:13:54,540 --> 00:13:57,420 shaped the internet, the concentration of power, 332 00:13:57,420 --> 00:14:01,300 the profit-driven motives there, they're now shaping AI. 333 00:14:01,300 --> 00:14:04,180 So we have a chance to learn from those mistakes 334 00:14:04,180 --> 00:14:05,700 and chart a different course. 335 00:14:05,700 --> 00:14:08,860 A course where AI serves humanity, not the other way around. 336 00:14:08,860 --> 00:14:09,340 Exactly. 337 00:14:09,340 --> 00:14:12,540 It's about reclaiming the promise of technology, 338 00:14:12,540 --> 00:14:16,620 ensuring that it empowers us, that it enriches our lives, 339 00:14:16,620 --> 00:14:19,620 and that it creates a more just and equitable world. 340 00:14:19,620 --> 00:14:23,980 This deep dive has been a real eye-opener, I got to say. 341 00:14:23,980 --> 00:14:26,060 I'm walking away with a renewed sense of urgency. 342 00:14:26,060 --> 00:14:29,180 But also a sense of hope. 343 00:14:29,180 --> 00:14:33,180 We have the power to shape the future of AI 344 00:14:33,180 --> 00:14:34,500 if we choose to exercise it. 345 00:14:34,500 --> 00:14:35,940 That's the key takeaway. 346 00:14:35,940 --> 00:14:37,940 The future is not predetermined. 347 00:14:37,940 --> 00:14:39,140 It's a choice. 348 00:14:39,140 --> 00:14:42,220 And the choices we make today will determine 349 00:14:42,220 --> 00:14:43,740 the world we inherit tomorrow. 350 00:14:43,740 --> 00:14:45,260 So let's choose wisely. 351 00:14:45,260 --> 00:14:45,780 Absolutely. 352 00:14:45,780 --> 00:14:47,740 And that wraps up our deep dive into AI. 353 00:14:47,740 --> 00:14:49,500 We've covered a lot of ground today. 354 00:14:49,500 --> 00:14:51,740 But this is just the beginning of the conversation. 355 00:14:51,740 --> 00:14:53,980 So keep learning, keep questioning, 356 00:14:53,980 --> 00:14:57,780 and keep pushing for a future where AI benefits all 357 00:14:57,780 --> 00:14:58,420 of humanity. 358 00:14:58,420 --> 00:15:09,380 Thanks for joining us.