1 00:00:00,000 --> 00:00:02,360 Welcome to the Daily AI News Podcast. 2 00:00:02,360 --> 00:00:06,600 Today we're diving into the aftermath of the 2024 election 3 00:00:06,600 --> 00:00:10,120 and exploring AI's role in this new landscape. 4 00:00:10,120 --> 00:00:12,080 You know, you've sent us some really interesting articles 5 00:00:12,080 --> 00:00:15,360 and reports and I'm really eager to just unpack it all 6 00:00:15,360 --> 00:00:16,200 with you. 7 00:00:16,200 --> 00:00:20,520 A second Trump presidency seems to have the tech world 8 00:00:20,520 --> 00:00:21,360 on edge. 9 00:00:21,360 --> 00:00:22,200 Definitely. 10 00:00:22,200 --> 00:00:24,680 Especially given how much things have changed 11 00:00:24,680 --> 00:00:25,760 since his first term. 12 00:00:25,760 --> 00:00:27,440 Yeah, it's a whole different bowl game now. 13 00:00:27,440 --> 00:00:30,640 I mean, AI is so much more advanced. 14 00:00:30,640 --> 00:00:33,240 Social media's influence is undeniable. 15 00:00:33,240 --> 00:00:34,080 Absolutely. 16 00:00:34,080 --> 00:00:35,640 And then the tech lash is in full swing. 17 00:00:35,640 --> 00:00:38,080 It's going to be fascinating to see how all of these forces 18 00:00:38,080 --> 00:00:39,920 interact over the next four years. 19 00:00:39,920 --> 00:00:41,160 Well, let's start with the big question 20 00:00:41,160 --> 00:00:43,720 that I think everybody was asking before the election. 21 00:00:43,720 --> 00:00:47,640 Did AI actually disrupt things as much as we all predicted? 22 00:00:47,640 --> 00:00:49,080 You know, that's really interesting. 23 00:00:49,080 --> 00:00:50,800 Surprisingly no. 24 00:00:50,800 --> 00:00:51,320 Really? 25 00:00:51,320 --> 00:00:54,560 Despite all the warnings about AI-driven chaos, 26 00:00:54,560 --> 00:00:57,440 the election itself wasn't demonstrably disrupted 27 00:00:57,440 --> 00:00:59,200 by AI manipulation. 28 00:00:59,200 --> 00:01:03,200 Wow, so all those fears about deep fake swaying voters 29 00:01:03,200 --> 00:01:06,800 or AI-powered misinformation campaigns running rampant, 30 00:01:06,800 --> 00:01:08,080 they didn't really materialize. 31 00:01:08,080 --> 00:01:11,520 Not in a way that's been clearly proven. 32 00:01:11,520 --> 00:01:13,880 You know, take chat GPT, for example. 33 00:01:13,880 --> 00:01:17,640 Open AI seems to have taken a very cautious approach. 34 00:01:17,640 --> 00:01:21,400 Redirecting millions of users to trusted news sources. 35 00:01:21,400 --> 00:01:21,920 Oh, wow. 36 00:01:21,920 --> 00:01:24,120 Like Reuters and the Associated Press, 37 00:01:24,120 --> 00:01:26,200 when they asked election-related questions. 38 00:01:26,200 --> 00:01:26,880 That's really interesting. 39 00:01:26,880 --> 00:01:28,680 It's almost like chat GPT was saying, 40 00:01:28,680 --> 00:01:29,520 don't trust me with this. 41 00:01:29,520 --> 00:01:30,440 Go read the real news. 42 00:01:30,440 --> 00:01:31,000 Right. 43 00:01:31,000 --> 00:01:32,600 Did other companies follow suit? 44 00:01:32,600 --> 00:01:34,640 Yeah, Google also limited what users 45 00:01:34,640 --> 00:01:37,200 could ask their Gemini AI about the election. 46 00:01:37,200 --> 00:01:37,880 Interesting. 47 00:01:37,880 --> 00:01:40,320 It would decline to answer questions about who to vote for, 48 00:01:40,320 --> 00:01:42,760 stating that it wasn't designed to provide political advice. 49 00:01:42,760 --> 00:01:43,360 Right. 50 00:01:43,360 --> 00:01:47,160 So both open AI and Google seem to recognize the potential dangers 51 00:01:47,160 --> 00:01:48,600 of AI in this context. 52 00:01:48,600 --> 00:01:49,080 Right. 53 00:01:49,080 --> 00:01:51,760 And took steps to mitigate those risks. 54 00:01:51,760 --> 00:01:52,360 Yeah. 55 00:01:52,360 --> 00:01:55,520 Do you think this caution, along with increased public awareness 56 00:01:55,520 --> 00:01:58,120 about AI manipulation, actually helped 57 00:01:58,120 --> 00:02:00,360 prevent a more chaotic election? 58 00:02:00,360 --> 00:02:01,800 It's certainly possible. 59 00:02:01,800 --> 00:02:05,480 We didn't see any major verifiable incidents 60 00:02:05,480 --> 00:02:08,440 of AI-driven manipulation that seemed to impact the election 61 00:02:08,440 --> 00:02:09,520 results. 62 00:02:09,520 --> 00:02:12,160 While there might have been undetected manipulation, 63 00:02:12,160 --> 00:02:15,720 the visible attempts, like the AI-generated image of Taylor 64 00:02:15,720 --> 00:02:18,880 Swift endorsing Trump, were quickly debunked. 65 00:02:18,880 --> 00:02:21,240 Yeah, it seems like a combination of industry caution 66 00:02:21,240 --> 00:02:22,600 and public scrutiny played a role. 67 00:02:22,600 --> 00:02:23,640 For sure. 68 00:02:23,640 --> 00:02:26,480 Now, shifting gears a bit, let's talk 69 00:02:26,480 --> 00:02:28,760 about what a second Trump presidency might 70 00:02:28,760 --> 00:02:31,440 mean for the future of AI regulation. 71 00:02:31,440 --> 00:02:33,600 Yeah, well, things could be in for a major shift. 72 00:02:33,600 --> 00:02:34,120 OK. 73 00:02:34,120 --> 00:02:38,600 Trump has pledged to repeal Biden's AI executive order, 74 00:02:38,600 --> 00:02:40,960 which focused on safeguards against discrimination 75 00:02:40,960 --> 00:02:43,280 in areas like housing and criminal justice. 76 00:02:43,280 --> 00:02:43,880 Right. 77 00:02:43,880 --> 00:02:46,000 His previous executive order on AI 78 00:02:46,000 --> 00:02:47,440 didn't address those concerns. 79 00:02:47,440 --> 00:02:50,920 So we could see a less regulated AI landscape going forward. 80 00:02:50,920 --> 00:02:52,640 That brings us to another interesting perspective 81 00:02:52,640 --> 00:02:54,080 from one of the sources you sent. 82 00:02:54,080 --> 00:02:54,440 Yeah. 83 00:02:54,440 --> 00:02:56,480 A16's VC. 84 00:02:56,480 --> 00:03:00,320 Martin Casado argues that many of the proposed AI regulations 85 00:03:00,320 --> 00:03:01,640 are actually misguided. 86 00:03:01,640 --> 00:03:02,240 Oh, interesting. 87 00:03:02,240 --> 00:03:04,440 Focusing on hypothetical future threats instead 88 00:03:04,440 --> 00:03:05,840 of tangible present risks. 89 00:03:05,840 --> 00:03:08,000 He makes a really compelling point. 90 00:03:08,000 --> 00:03:11,800 He believes that existing regulations are sufficient for now, 91 00:03:11,800 --> 00:03:15,360 and that AI shouldn't be penalized for problems that 92 00:03:15,360 --> 00:03:17,080 stem from other technologies. 93 00:03:17,080 --> 00:03:20,040 So he's advocating for a more measured approach, 94 00:03:20,040 --> 00:03:22,480 focusing on addressing the real issues we're 95 00:03:22,480 --> 00:03:24,920 facing with AI today, rather than trying 96 00:03:24,920 --> 00:03:27,920 to predict and regulate every potential future risk. 97 00:03:27,920 --> 00:03:28,520 Exactly. 98 00:03:28,520 --> 00:03:32,320 It's a valuable counterpoint to the often alarmist narrative 99 00:03:32,320 --> 00:03:34,200 surrounding AI regulation. 100 00:03:34,200 --> 00:03:36,400 It definitely adds another layer of complexity 101 00:03:36,400 --> 00:03:38,720 to this already intricate debate. 102 00:03:38,720 --> 00:03:39,520 Oh, sure. 103 00:03:39,520 --> 00:03:43,000 Continuing on this theme of potential regulatory shakeups, 104 00:03:43,000 --> 00:03:46,240 another source highlights the wild card of Elon Musk's 105 00:03:46,240 --> 00:03:49,840 influence, his close relationship with Trump, 106 00:03:49,840 --> 00:03:53,720 combined with his companies like Tesla and Starlink, 107 00:03:53,720 --> 00:03:56,120 gives him a lot of leverage in the tech policy arena. 108 00:03:56,120 --> 00:03:57,000 Definitely. 109 00:03:57,000 --> 00:03:59,600 Musk's potential role in the newly created Department 110 00:03:59,600 --> 00:04:02,520 of Government Efficiency is particularly intriguing. 111 00:04:02,520 --> 00:04:03,640 It is fascinating. 112 00:04:03,640 --> 00:04:06,720 He's been vocal about using AI to streamline government 113 00:04:06,720 --> 00:04:07,680 processes. 114 00:04:07,680 --> 00:04:09,880 But whether that translates into concrete policies 115 00:04:09,880 --> 00:04:10,760 remains to be seen. 116 00:04:10,760 --> 00:04:12,400 Yeah, we'll have to see how that plays out. 117 00:04:12,400 --> 00:04:14,000 And of course, he could use his influence 118 00:04:14,000 --> 00:04:16,840 to push for policies that benefit his companies, 119 00:04:16,840 --> 00:04:20,520 like lobbying for less stringent AI safety measures 120 00:04:20,520 --> 00:04:24,120 or advocating for Starlink and broadband initiatives. 121 00:04:24,120 --> 00:04:26,960 His stance on AI safety will be particularly interesting 122 00:04:26,960 --> 00:04:27,480 to watch. 123 00:04:27,480 --> 00:04:28,320 Definitely. 124 00:04:28,320 --> 00:04:30,800 He's been both a proponent of AI advancement 125 00:04:30,800 --> 00:04:34,160 and a vocal critic of its potential dangers. 126 00:04:34,160 --> 00:04:37,520 How he reconciles those views within a Trump administration 127 00:04:37,520 --> 00:04:38,720 will be telling. 128 00:04:38,720 --> 00:04:39,240 Absolutely. 129 00:04:39,240 --> 00:04:42,320 It's almost like he's a walking paradox in the AI world. 130 00:04:42,320 --> 00:04:44,880 Yeah, speaking of potential policy shifts, 131 00:04:44,880 --> 00:04:48,040 what does a second Trump term mean for tech giants, 132 00:04:48,040 --> 00:04:52,760 like Google, Meta, and even newer players like X? 133 00:04:52,760 --> 00:04:55,840 It's hard to say for sure with Trump's unpredictable nature. 134 00:04:55,840 --> 00:04:57,880 But one thing that stands out from our sources 135 00:04:57,880 --> 00:05:00,560 is the potential for more personality-driven decision 136 00:05:00,560 --> 00:05:01,120 making. 137 00:05:01,120 --> 00:05:01,720 Oh, interesting. 138 00:05:01,720 --> 00:05:03,920 He's hinted at using antitrust actions 139 00:05:03,920 --> 00:05:07,080 based on personal grievances rather than clear legal 140 00:05:07,080 --> 00:05:11,440 violations, which creates a lot of uncertainty for companies. 141 00:05:11,440 --> 00:05:13,200 So essentially, tech companies might 142 00:05:13,200 --> 00:05:16,560 be judged more on their relationship with Trump 143 00:05:16,560 --> 00:05:19,440 than on their adherence to specific regulations. 144 00:05:19,440 --> 00:05:20,520 That's a possibility. 145 00:05:20,520 --> 00:05:21,480 That's a bit unsettling. 146 00:05:21,480 --> 00:05:24,240 Yeah, it injects a level of unpredictability 147 00:05:24,240 --> 00:05:27,360 that makes it difficult for companies to plan and operate. 148 00:05:27,360 --> 00:05:28,560 For sure. 149 00:05:28,560 --> 00:05:32,800 And while Trump has voiced opposition to a TikTok ban, 150 00:05:32,800 --> 00:05:36,760 the app's fate is still uncertain as legal battles continue. 151 00:05:36,760 --> 00:05:39,120 It seems like we're entering a phase where 152 00:05:39,120 --> 00:05:42,040 personal relationships and political maneuvering 153 00:05:42,040 --> 00:05:45,560 might play a bigger role in shaping tech policy 154 00:05:45,560 --> 00:05:47,040 than clear-cut regulations. 155 00:05:47,040 --> 00:05:48,400 I think that's right. 156 00:05:48,400 --> 00:05:50,960 That's a key takeaway for anyone operating in the tech space 157 00:05:50,960 --> 00:05:51,760 right now. 158 00:05:51,760 --> 00:05:53,240 The rules of the game are changing, 159 00:05:53,240 --> 00:05:55,360 and adaptability will be crucial. 160 00:05:55,360 --> 00:05:56,040 Absolutely. 161 00:05:56,040 --> 00:05:58,800 It's definitely a Wild West kind of feeling out there. 162 00:05:58,800 --> 00:06:02,520 Now, shifting focus to some specific tech policy areas 163 00:06:02,520 --> 00:06:06,400 to watch our sources highlight several potential hot spots. 164 00:06:06,400 --> 00:06:08,120 Antitrust enforcement, for instance, 165 00:06:08,120 --> 00:06:11,160 could become more erratic, driven by Trump's personal views 166 00:06:11,160 --> 00:06:14,240 on companies rather than clear legal precedents. 167 00:06:14,240 --> 00:06:17,200 So we might see a move away from traditional antitrust 168 00:06:17,200 --> 00:06:19,320 principles and more towards a system 169 00:06:19,320 --> 00:06:22,680 where companies are targeted based on their perceived loyalty 170 00:06:22,680 --> 00:06:23,480 to Trump. 171 00:06:23,480 --> 00:06:24,800 That's the concern. 172 00:06:24,800 --> 00:06:26,800 And content moderation is another area 173 00:06:26,800 --> 00:06:29,200 that's likely to face increased scrutiny, 174 00:06:29,200 --> 00:06:31,960 particularly with conservatives pushing for changes 175 00:06:31,960 --> 00:06:34,440 to Section 230. 176 00:06:34,440 --> 00:06:37,440 This law currently shields online platforms 177 00:06:37,440 --> 00:06:41,280 from liability for content posted by their users. 178 00:06:41,280 --> 00:06:44,440 But Trump and his allies have been vocal critics of it. 179 00:06:44,440 --> 00:06:47,600 They argue that it gives platforms too much power 180 00:06:47,600 --> 00:06:50,320 and that it's being used to censor conservative viewpoints. 181 00:06:50,320 --> 00:06:50,820 Exactly. 182 00:06:50,820 --> 00:06:54,120 If Section 230 is weakened or repealed, 183 00:06:54,120 --> 00:06:55,840 it could have a dramatic impact on how 184 00:06:55,840 --> 00:06:57,440 social media companies operate. 185 00:06:57,440 --> 00:06:57,960 Absolutely. 186 00:06:57,960 --> 00:07:00,120 Platforms could become much more cautious 187 00:07:00,120 --> 00:07:02,960 about the content they allow, potentially leading 188 00:07:02,960 --> 00:07:05,440 to more censorship, even of content protected 189 00:07:05,440 --> 00:07:06,400 by the First Amendment. 190 00:07:06,400 --> 00:07:06,920 Wow. 191 00:07:06,920 --> 00:07:10,000 It's a tricky situation with no easy solutions. 192 00:07:10,000 --> 00:07:11,520 And then there's net neutrality, which 193 00:07:11,520 --> 00:07:14,120 seems to be on life support after the Trump 194 00:07:14,120 --> 00:07:17,000 administration's previous rollback of regulations. 195 00:07:17,000 --> 00:07:18,960 This could give internet service providers 196 00:07:18,960 --> 00:07:22,400 more control over what content their users can access 197 00:07:22,400 --> 00:07:24,400 and how quickly they can access it. 198 00:07:24,400 --> 00:07:27,760 A lot of people are worried about the potential for ISPs 199 00:07:27,760 --> 00:07:31,240 to create fast lanes for certain types of content 200 00:07:31,240 --> 00:07:33,920 or websites, potentially stifling competition 201 00:07:33,920 --> 00:07:34,960 and innovation. 202 00:07:34,960 --> 00:07:37,320 It feels like we're moving towards an internet where 203 00:07:37,320 --> 00:07:40,680 access and speed are increasingly determined 204 00:07:40,680 --> 00:07:44,400 by your ability to pay rather than a level playing field 205 00:07:44,400 --> 00:07:45,040 for everyone. 206 00:07:45,040 --> 00:07:46,120 That's the concern. 207 00:07:46,120 --> 00:07:46,400 Yeah. 208 00:07:46,400 --> 00:07:48,880 And speaking of playing fields, the electric vehicle 209 00:07:48,880 --> 00:07:51,600 industry could also be in for a rough ride. 210 00:07:51,600 --> 00:07:55,600 Trump has criticized EV tax credits as handouts to the wealthy 211 00:07:55,600 --> 00:07:57,960 and expressed skepticism about the need 212 00:07:57,960 --> 00:08:00,520 to transition away from fossil fuels. 213 00:08:00,520 --> 00:08:03,080 So companies like Tesla, which have benefited greatly 214 00:08:03,080 --> 00:08:05,760 from these incentives, might find themselves at a disadvantage 215 00:08:05,760 --> 00:08:07,480 if those credits are reduced or eliminated. 216 00:08:07,480 --> 00:08:08,120 Exactly. 217 00:08:08,120 --> 00:08:10,440 It could make EVs less competitive 218 00:08:10,440 --> 00:08:13,960 with traditional gasoline-powered cars potentially 219 00:08:13,960 --> 00:08:15,960 slowing down their adoption. 220 00:08:15,960 --> 00:08:18,520 And it's not just Tesla that would be affected the entire EV 221 00:08:18,520 --> 00:08:23,320 industry, which is a key player in the fight against climate 222 00:08:23,320 --> 00:08:25,120 change could suffer a setback. 223 00:08:25,120 --> 00:08:27,960 It seems like Trump's policies could have a ripple effect 224 00:08:27,960 --> 00:08:32,080 across multiple sectors with potentially negative consequences 225 00:08:32,080 --> 00:08:34,000 for innovation and progress. 226 00:08:34,000 --> 00:08:35,080 Potentially. 227 00:08:35,080 --> 00:08:38,120 Another area that could see a shift is semiconductor policy. 228 00:08:38,120 --> 00:08:38,680 OK. 229 00:08:38,680 --> 00:08:41,880 Despite bipartisan support for boosting domestic chip 230 00:08:41,880 --> 00:08:45,800 production to reduce reliance on foreign suppliers, 231 00:08:45,800 --> 00:08:50,280 Trump has expressed skepticism about the Chick PS and Science 232 00:08:50,280 --> 00:08:54,880 Act, which allocated billions of dollars to this effort. 233 00:08:54,880 --> 00:08:57,760 He's called it a waste of money, which 234 00:08:57,760 --> 00:09:00,200 suggests that he might not be as committed to supporting 235 00:09:00,200 --> 00:09:02,160 this industry as his predecessor. 236 00:09:02,160 --> 00:09:02,720 Right. 237 00:09:02,720 --> 00:09:04,720 This could have significant implications 238 00:09:04,720 --> 00:09:07,760 for national security and the tech industry as a whole. 239 00:09:07,760 --> 00:09:08,160 Yeah. 240 00:09:08,160 --> 00:09:11,400 As semiconductors are essential components in virtually every 241 00:09:11,400 --> 00:09:12,280 electronic device. 242 00:09:12,280 --> 00:09:13,120 Absolutely. 243 00:09:13,120 --> 00:09:16,000 It's a reminder that tech policy is becoming increasingly 244 00:09:16,000 --> 00:09:17,680 intertwined with geopolitics. 245 00:09:17,680 --> 00:09:18,120 For sure. 246 00:09:18,120 --> 00:09:20,880 And the US can't afford to fall behind in this critical area. 247 00:09:20,880 --> 00:09:21,000 Definitely. 248 00:09:21,000 --> 00:09:23,240 Continuing on with sectors potentially 249 00:09:23,240 --> 00:09:25,600 impacted the cryptocurrency industry 250 00:09:25,600 --> 00:09:28,080 is also bracing for a potential shakeup. 251 00:09:28,080 --> 00:09:29,080 OK. 252 00:09:29,080 --> 00:09:32,480 Trump's stance on crypto has been somewhat ambiguous. 253 00:09:32,480 --> 00:09:33,000 Right. 254 00:09:33,000 --> 00:09:36,040 But his appointment of crypto-friendly individuals 255 00:09:36,040 --> 00:09:40,000 to key positions suggests that he might be more 256 00:09:40,000 --> 00:09:42,880 receptive to the industry than his previous statements 257 00:09:42,880 --> 00:09:43,720 would indicate. 258 00:09:43,720 --> 00:09:44,800 Interesting. 259 00:09:44,800 --> 00:09:46,160 There are a few possibilities here. 260 00:09:46,160 --> 00:09:47,040 OK. 261 00:09:47,040 --> 00:09:48,880 He could take a hands-off approach. 262 00:09:48,880 --> 00:09:49,280 Right. 263 00:09:49,280 --> 00:09:52,360 Allowing the industry to develop with minimal government 264 00:09:52,360 --> 00:09:55,040 interference, which would be welcomed by many 265 00:09:55,040 --> 00:09:56,040 in the crypto community. 266 00:09:56,040 --> 00:09:56,680 Sure. 267 00:09:56,680 --> 00:09:58,840 But that could also increase the risk of fraud 268 00:09:58,840 --> 00:09:59,720 in scams. 269 00:09:59,720 --> 00:10:00,200 Yeah. 270 00:10:00,200 --> 00:10:02,440 As well as make it more difficult to track and prevent 271 00:10:02,440 --> 00:10:03,560 illicit activities. 272 00:10:03,560 --> 00:10:04,280 Absolutely. 273 00:10:04,280 --> 00:10:04,880 Exactly. 274 00:10:04,880 --> 00:10:08,240 Another possibility is that he could embrace cryptocurrency 275 00:10:08,240 --> 00:10:11,200 as a way to challenge the dominance of the US dollar 276 00:10:11,200 --> 00:10:13,240 and traditional financial institutions. 277 00:10:13,240 --> 00:10:14,560 Oh, wow. 278 00:10:14,560 --> 00:10:16,800 Perhaps even promoting the use of crypto 279 00:10:16,800 --> 00:10:18,120 for government transactions. 280 00:10:18,120 --> 00:10:18,680 Interesting. 281 00:10:18,680 --> 00:10:21,240 We're creating a US-backed digital currency. 282 00:10:21,240 --> 00:10:22,760 That would be a bold move. 283 00:10:22,760 --> 00:10:24,880 It would be with far-reaching implications 284 00:10:24,880 --> 00:10:26,960 for the global financial system. 285 00:10:26,960 --> 00:10:28,040 Absolutely. 286 00:10:28,040 --> 00:10:32,000 It's also a move that aligns with his populist rhetoric 287 00:10:32,000 --> 00:10:34,200 and his desire to shake things up. 288 00:10:34,200 --> 00:10:34,720 For sure. 289 00:10:34,720 --> 00:10:36,480 Of course, there's always the possibility 290 00:10:36,480 --> 00:10:38,280 that he'll take a more adversarial approach. 291 00:10:38,280 --> 00:10:38,760 Right. 292 00:10:38,760 --> 00:10:42,520 Viewing crypto as a threat to national security or economic 293 00:10:42,520 --> 00:10:45,720 stability, which could lead to stricter regulations, 294 00:10:45,720 --> 00:10:48,240 crackdowns on exchanges, or even attempts 295 00:10:48,240 --> 00:10:50,320 to ban certain cryptocurrencies. 296 00:10:50,320 --> 00:10:50,720 Yeah. 297 00:10:50,720 --> 00:10:53,120 It's a lot of uncertainty for an industry that's already 298 00:10:53,120 --> 00:10:54,840 known for its volatility. 299 00:10:54,840 --> 00:10:55,640 Absolutely. 300 00:10:55,640 --> 00:10:56,520 Right. 301 00:10:56,520 --> 00:10:58,680 Shifting gears again, let's delve into another area 302 00:10:58,680 --> 00:11:01,680 where Trump's policies could have a significant impact. 303 00:11:01,680 --> 00:11:01,960 OK. 304 00:11:01,960 --> 00:11:03,080 Artificial intelligence. 305 00:11:03,080 --> 00:11:03,720 Right. 306 00:11:03,720 --> 00:11:06,280 Given his general approach to tech regulation, which 307 00:11:06,280 --> 00:11:09,880 tends to favor deregulation and prioritize economic growth, 308 00:11:09,880 --> 00:11:11,960 we might see a less restrictive environment 309 00:11:11,960 --> 00:11:13,800 for AI development and deployment. 310 00:11:13,800 --> 00:11:14,240 OK. 311 00:11:14,240 --> 00:11:16,520 Potentially, with fewer safeguards 312 00:11:16,520 --> 00:11:18,240 to protect against potential harms. 313 00:11:18,240 --> 00:11:21,040 So essentially, a faster pace of innovation, 314 00:11:21,040 --> 00:11:24,480 but also a higher risk of unintended consequences. 315 00:11:24,480 --> 00:11:27,320 Yeah, like bias in algorithms, job displacement, 316 00:11:27,320 --> 00:11:29,840 and the misuse of AI for malicious purposes. 317 00:11:29,840 --> 00:11:30,880 That's the trade-off. 318 00:11:30,880 --> 00:11:32,280 And while some people might welcome 319 00:11:32,280 --> 00:11:34,080 a faster pace of AI development, 320 00:11:34,080 --> 00:11:36,560 others are concerned about the ethical implications 321 00:11:36,560 --> 00:11:39,120 and the potential for AI to be used in harmful ways. 322 00:11:39,120 --> 00:11:39,720 Of course. 323 00:11:39,720 --> 00:11:41,880 It seems like there's a growing tension 324 00:11:41,880 --> 00:11:45,600 between those who see AI as a tool for progress 325 00:11:45,600 --> 00:11:47,720 and those who see it as a potential threat. 326 00:11:47,720 --> 00:11:48,400 Definitely. 327 00:11:48,400 --> 00:11:51,440 Speaking of AI, let's talk about a specific development that's 328 00:11:51,440 --> 00:11:52,640 been making headlines. 329 00:11:52,640 --> 00:11:53,120 Yeah. 330 00:11:53,120 --> 00:11:55,960 The rise of AI chatbots. 331 00:11:55,960 --> 00:11:56,640 Oh, yeah. 332 00:11:56,640 --> 00:11:57,480 Those are interesting. 333 00:11:57,480 --> 00:12:01,000 These chatbots have become incredibly sophisticated. 334 00:12:01,000 --> 00:12:01,680 They have. 335 00:12:01,680 --> 00:12:04,280 Thanks to advancements in natural language processing 336 00:12:04,280 --> 00:12:05,160 and machine learning. 337 00:12:05,160 --> 00:12:05,880 Absolutely. 338 00:12:05,880 --> 00:12:08,800 They're being used for everything from customer service 339 00:12:08,800 --> 00:12:11,000 to education to entertainment. 340 00:12:11,000 --> 00:12:11,760 Right. 341 00:12:11,760 --> 00:12:14,200 And their capabilities are only increasing. 342 00:12:14,200 --> 00:12:16,200 It's amazing how quickly they're evolving. 343 00:12:16,200 --> 00:12:18,520 OpenAI's chat GPT is a great example. 344 00:12:18,520 --> 00:12:19,880 Yeah, it's really impressive. 345 00:12:19,880 --> 00:12:23,200 It can write poems, compose music, draft emails, 346 00:12:23,200 --> 00:12:25,200 and even code simple programs. 347 00:12:25,200 --> 00:12:25,960 It's my month. 348 00:12:25,960 --> 00:12:26,720 Really is. 349 00:12:26,720 --> 00:12:32,120 And Google's LemonDA is another impressive chatbot 350 00:12:32,120 --> 00:12:34,680 that's been making waves for its ability 351 00:12:34,680 --> 00:12:37,840 to hold surprisingly nuanced and coherent conversations. 352 00:12:37,840 --> 00:12:39,800 It's almost like we're reaching a point 353 00:12:39,800 --> 00:12:42,400 where it's becoming difficult to distinguish 354 00:12:42,400 --> 00:12:45,520 between AI chatbots and real humans. 355 00:12:45,520 --> 00:12:45,800 I know. 356 00:12:45,800 --> 00:12:47,080 It's kind of creepy. 357 00:12:47,080 --> 00:12:47,920 It is a little bit. 358 00:12:47,920 --> 00:12:51,040 What are the implications of this, both positive and negative? 359 00:12:51,040 --> 00:12:52,960 Well, on the positive side, these chatbots 360 00:12:52,960 --> 00:12:56,120 can provide companionship education and even 361 00:12:56,120 --> 00:12:57,240 therapeutic support. 362 00:12:57,240 --> 00:12:57,800 Right. 363 00:12:57,800 --> 00:13:01,240 They could also automate tasks, improve efficiency, 364 00:13:01,240 --> 00:13:03,280 and personalize experiences in ways 365 00:13:03,280 --> 00:13:05,040 that were previously unimaginable. 366 00:13:05,040 --> 00:13:05,680 Absolutely. 367 00:13:05,680 --> 00:13:08,080 But there are also concerns about the potential 368 00:13:08,080 --> 00:13:10,680 for these chatbots to be used for malicious purposes. 369 00:13:10,680 --> 00:13:11,160 Of course. 370 00:13:11,160 --> 00:13:13,080 Such as spreading misinformation, 371 00:13:13,080 --> 00:13:16,280 manipulating people, or even impersonating real individuals. 372 00:13:16,280 --> 00:13:18,440 Yeah, there are definitely some ethical concerns there. 373 00:13:18,440 --> 00:13:20,120 And there are ethical considerations as well. 374 00:13:20,120 --> 00:13:20,400 Right. 375 00:13:20,400 --> 00:13:22,120 Such as the potential for these chatbots 376 00:13:22,120 --> 00:13:25,160 to become so human-like that people develop emotional 377 00:13:25,160 --> 00:13:26,040 attachments to them. 378 00:13:26,040 --> 00:13:26,640 Oh, yeah. 379 00:13:26,640 --> 00:13:28,200 Which could lead to all sorts of complications. 380 00:13:28,200 --> 00:13:28,520 Crucial. 381 00:13:28,520 --> 00:13:31,440 It seems like we're entering uncharted territory 382 00:13:31,440 --> 00:13:33,080 with AI chatbots. 383 00:13:33,080 --> 00:13:33,680 Yeah. 384 00:13:33,680 --> 00:13:35,200 And we need to proceed with caution, 385 00:13:35,200 --> 00:13:37,600 considering both the potential benefits 386 00:13:37,600 --> 00:13:39,160 and the potential risks. 387 00:13:39,160 --> 00:13:39,880 Absolutely. 388 00:13:39,880 --> 00:13:42,640 It's a fascinating and rapidly evolving area. 389 00:13:42,640 --> 00:13:43,200 Yeah. 390 00:13:43,200 --> 00:13:45,680 That's sure to have a profound impact on our lives 391 00:13:45,680 --> 00:13:46,840 in the years to come. 392 00:13:46,840 --> 00:13:48,440 Now, zooming out a bit, let's talk 393 00:13:48,440 --> 00:13:50,480 about the global implications of AI. 394 00:13:50,480 --> 00:13:51,040 OK. 395 00:13:51,040 --> 00:13:54,000 Our sources indicate that it's rapidly becoming 396 00:13:54,000 --> 00:13:58,080 a key area of competition between nations with countries 397 00:13:58,080 --> 00:14:02,120 like the US, China, and the UK vying for dominance. 398 00:14:02,120 --> 00:14:04,960 It's almost like a new kind of arms race. 399 00:14:04,960 --> 00:14:05,400 It is. 400 00:14:05,400 --> 00:14:07,840 This competition is fueled by the recognition 401 00:14:07,840 --> 00:14:11,840 that AI has the potential to revolutionize various industries, 402 00:14:11,840 --> 00:14:15,200 enhance national security, and even shift the balance of power 403 00:14:15,200 --> 00:14:16,280 on the world stage. 404 00:14:16,280 --> 00:14:18,320 It's almost like a new kind of arms race. 405 00:14:18,320 --> 00:14:18,520 Right. 406 00:14:18,520 --> 00:14:20,840 But instead of weapons, it's about algorithms and data. 407 00:14:20,840 --> 00:14:21,520 Exactly. 408 00:14:21,520 --> 00:14:23,720 And this competition is playing out in several ways, 409 00:14:23,720 --> 00:14:26,520 including investments in research and development, 410 00:14:26,520 --> 00:14:29,080 the recruitment of top talent, and the development 411 00:14:29,080 --> 00:14:31,600 of ethical guidelines and regulations for AI. 412 00:14:31,600 --> 00:14:34,640 It's a high stakes game with far reaching consequences. 413 00:14:34,640 --> 00:14:35,080 Definitely. 414 00:14:35,080 --> 00:14:36,960 Who wins this race could determine 415 00:14:36,960 --> 00:14:39,320 the shape of the world for decades to come. 416 00:14:39,320 --> 00:14:42,640 And it's not just about who has the most advanced technology. 417 00:14:42,640 --> 00:14:47,040 It's also about who uses that technology responsibly and ethically. 418 00:14:47,040 --> 00:14:47,360 Yeah. 419 00:14:47,360 --> 00:14:49,200 That's where things get even more complex. 420 00:14:49,200 --> 00:14:49,840 Absolutely. 421 00:14:49,840 --> 00:14:51,360 So it's not just a technological race. 422 00:14:51,360 --> 00:14:53,000 It's also a values race. 423 00:14:53,000 --> 00:14:54,560 I like that, a values race. 424 00:14:54,560 --> 00:14:58,760 How do we ensure that AI is used for good 425 00:14:58,760 --> 00:15:01,720 and that its benefits are shared widely? 426 00:15:01,720 --> 00:15:03,400 That's the million dollar question. 427 00:15:03,400 --> 00:15:03,880 It is. 428 00:15:03,880 --> 00:15:07,760 It requires international cooperation, ethical frameworks, 429 00:15:07,760 --> 00:15:10,800 and a commitment to transparency and accountability. 430 00:15:10,800 --> 00:15:13,520 It's a tall order, but it's one that we can't afford to ignore. 431 00:15:13,520 --> 00:15:14,720 We have to figure it out. 432 00:15:14,720 --> 00:15:16,240 Now let's bring things back down to earth 433 00:15:16,240 --> 00:15:20,800 and discuss how AI is already being used in various industries. 434 00:15:20,800 --> 00:15:24,000 AI is finding applications in virtually every sector. 435 00:15:24,000 --> 00:15:24,520 It is. 436 00:15:24,520 --> 00:15:28,000 From health care and finance to transportation and manufacturing. 437 00:15:28,000 --> 00:15:29,160 It's pretty amazing. 438 00:15:29,160 --> 00:15:29,640 It is. 439 00:15:29,640 --> 00:15:32,440 It's automating tasks, improving efficiency, 440 00:15:32,440 --> 00:15:35,920 and creating new possibilities that were previously unimaginable. 441 00:15:35,920 --> 00:15:39,480 In health care, for instance, AI is being used to diagnose diseases. 442 00:15:39,480 --> 00:15:40,080 Right. 443 00:15:40,080 --> 00:15:42,880 Personalized treatments and accelerate drug discovery. 444 00:15:42,880 --> 00:15:43,840 It's incredible. 445 00:15:43,840 --> 00:15:45,720 It's helping doctors make better decisions 446 00:15:45,720 --> 00:15:47,200 and improving patient outcomes. 447 00:15:47,200 --> 00:15:48,120 Absolutely. 448 00:15:48,120 --> 00:15:53,640 And in finance, AI is being used to detect fraud, automate trading, 449 00:15:53,640 --> 00:15:55,720 and provide personalized financial advice. 450 00:15:55,720 --> 00:15:56,480 Right. 451 00:15:56,480 --> 00:15:59,360 It's making financial systems more efficient and accessible. 452 00:15:59,360 --> 00:16:02,920 And in transportation, AI is powering self-driving cars, 453 00:16:02,920 --> 00:16:05,920 optimizing traffic flow, and improving logistics. 454 00:16:05,920 --> 00:16:10,320 It's making transportation safer, more efficient, and more sustainable. 455 00:16:10,320 --> 00:16:10,720 It is. 456 00:16:10,720 --> 00:16:15,600 These are just a few examples of how AI is transforming the way we live and work. 457 00:16:15,600 --> 00:16:16,400 For sure. 458 00:16:16,400 --> 00:16:20,680 And as AI continues to evolve, its applications will only become more 459 00:16:20,680 --> 00:16:21,800 diverse and impactful. 460 00:16:21,800 --> 00:16:22,520 Absolutely. 461 00:16:22,520 --> 00:16:26,760 It's a truly transformative technology with the potential to revolutionize 462 00:16:26,760 --> 00:16:28,520 virtually every aspect of our lives. 463 00:16:28,520 --> 00:16:31,080 But with that potential comes a lot of responsibility. 464 00:16:31,080 --> 00:16:32,000 Absolutely. 465 00:16:32,000 --> 00:16:34,560 We need to ensure that AI is used for good 466 00:16:34,560 --> 00:16:36,720 and that its benefits are shared widely. 467 00:16:36,720 --> 00:16:41,040 That requires careful consideration of the ethical, societal, and economic 468 00:16:41,040 --> 00:16:42,960 implications of AI. 469 00:16:42,960 --> 00:16:48,040 Speaking of ethical implications, one of the biggest concerns surrounding AI 470 00:16:48,040 --> 00:16:50,000 is its potential impact on jobs. 471 00:16:50,000 --> 00:16:51,840 Yeah, that's a big one. 472 00:16:51,840 --> 00:16:54,040 Some experts predict that millions of jobs 473 00:16:54,040 --> 00:16:56,080 could be automated in the coming years, 474 00:16:56,080 --> 00:16:59,640 leading to widespread unemployment and social unrest. 475 00:16:59,640 --> 00:17:01,120 It's a valid concern. 476 00:17:01,120 --> 00:17:01,560 It is. 477 00:17:01,560 --> 00:17:05,520 While AI can create new jobs and augment existing ones, 478 00:17:05,520 --> 00:17:08,720 it's also true that some jobs will be displaced by automation. 479 00:17:08,720 --> 00:17:11,200 So how do we prepare for this future? 480 00:17:11,200 --> 00:17:12,160 That's the question. 481 00:17:12,160 --> 00:17:17,440 How do we ensure that everyone benefits from the AI revolution, not just a select few? 482 00:17:17,440 --> 00:17:19,640 It requires a multi-pronged approach. 483 00:17:19,640 --> 00:17:22,360 We need to invest in education and training programs 484 00:17:22,360 --> 00:17:25,440 to help people adapt to the changing job market. 485 00:17:25,440 --> 00:17:30,560 We need to create social safety nets to support those who are displaced by automation. 486 00:17:30,560 --> 00:17:33,720 And we need to foster a culture of lifelong learning, 487 00:17:33,720 --> 00:17:36,720 where people are constantly updating their skills and knowledge 488 00:17:36,720 --> 00:17:39,440 to stay relevant in the AI-powered economy. 489 00:17:39,440 --> 00:17:43,000 It's a massive undertaking, but it's one that we can't afford to ignore. 490 00:17:43,000 --> 00:17:44,000 We have to do it. 491 00:17:44,000 --> 00:17:46,600 The future of work is changing, and we need to be prepared. 492 00:17:46,600 --> 00:17:48,000 Absolutely. 493 00:17:48,000 --> 00:17:52,720 The key is to view AI not as a threat, but as an opportunity. 494 00:17:52,720 --> 00:17:58,240 It has the potential to free us from mundane tasks, increase productivity, 495 00:17:58,240 --> 00:18:02,320 and create new forms of work that are more fulfilling and meaningful. 496 00:18:02,320 --> 00:18:06,120 So it's about embracing the change, adapting to the new landscape, 497 00:18:06,120 --> 00:18:09,680 and harnessing the power of AI to create a better future for everyone. 498 00:18:09,680 --> 00:18:10,280 Exactly. 499 00:18:10,280 --> 00:18:14,400 And that requires a shift in mindset, a willingness to learn new skills, 500 00:18:14,400 --> 00:18:17,440 and a commitment to collaboration and innovation. 501 00:18:17,440 --> 00:18:21,720 Now let's shift gears and talk about some of the ethical considerations surrounding AI, 502 00:18:21,720 --> 00:18:24,840 as AI becomes more powerful and pervasive. 503 00:18:24,840 --> 00:18:29,240 It's crucial that we develop ethical guidelines and regulations to ensure that it's used 504 00:18:29,240 --> 00:18:31,440 responsibly and for the benefit of humanity. 505 00:18:31,440 --> 00:18:32,440 Absolutely. 506 00:18:32,440 --> 00:18:36,040 One of the key ethical concerns is bias in AI algorithms. 507 00:18:36,040 --> 00:18:36,720 Right. 508 00:18:36,720 --> 00:18:42,520 If these algorithms are trained on bias data, they can perpetuate and even amplify 509 00:18:42,520 --> 00:18:44,640 those biases in their decision-making. 510 00:18:44,640 --> 00:18:48,040 This can lead to unfair or discriminatory outcomes, 511 00:18:48,040 --> 00:18:51,240 particularly for marginalized groups who are already disadvantaged. 512 00:18:51,240 --> 00:18:51,440 Right. 513 00:18:51,440 --> 00:18:56,400 For example, an AI system used for hiring could inadvertently discriminate against 514 00:18:56,400 --> 00:19:01,440 certain candidates based on their race gender or other protected characteristics. 515 00:19:01,440 --> 00:19:01,840 Right. 516 00:19:01,840 --> 00:19:05,600 Or a facial recognition system used by law enforcement could be more likely to 517 00:19:05,600 --> 00:19:07,400 misidentify people of color. 518 00:19:07,400 --> 00:19:09,680 These are serious concerns that need to be addressed. 519 00:19:09,680 --> 00:19:10,280 They are. 520 00:19:10,280 --> 00:19:16,080 We need to carefully audit AI systems for bias-developed strategies to mitigate it 521 00:19:16,080 --> 00:19:20,560 and ensure that AI is used in a way that promotes fairness and equity. 522 00:19:20,560 --> 00:19:21,400 Couldn't agree more. 523 00:19:21,400 --> 00:19:23,320 Another key ethical concern is privacy. 524 00:19:23,320 --> 00:19:23,840 Yeah. 525 00:19:23,840 --> 00:19:27,640 AI systems often collect and analyze vast amounts of personal data. 526 00:19:27,640 --> 00:19:28,160 They do. 527 00:19:28,160 --> 00:19:30,800 Raising concerns about how that data is used to protect it. 528 00:19:30,800 --> 00:19:31,080 Right. 529 00:19:31,080 --> 00:19:35,560 For example, an AI-powered virtual assistant could listening to our conversations. 530 00:19:35,560 --> 00:19:36,080 Wow. 531 00:19:36,080 --> 00:19:40,040 Tracking our location and collecting data about our habits and preferences. 532 00:19:40,040 --> 00:19:45,760 And that data could be used to target us with ads, manipulate our behavior, or even be 533 00:19:45,760 --> 00:19:47,960 sold to third parties without our consent. 534 00:19:47,960 --> 00:19:49,840 It's a little creepy when you think about it. 535 00:19:49,840 --> 00:19:55,120 It is a bit unsettling to think about how much data AI systems are collecting about us. 536 00:19:55,120 --> 00:19:55,600 Yeah. 537 00:19:55,600 --> 00:19:57,040 And how that data could be used. 538 00:19:57,040 --> 00:19:57,680 For sure. 539 00:19:57,680 --> 00:20:02,000 We need to establish clear guidelines for data collection storage and use. 540 00:20:02,000 --> 00:20:02,400 Right. 541 00:20:02,400 --> 00:20:06,560 Ensuring that AI systems respect individuals' privacy rights. 542 00:20:06,560 --> 00:20:07,160 Absolutely. 543 00:20:07,160 --> 00:20:09,880 And it's not just about protecting our personal data. 544 00:20:09,880 --> 00:20:10,040 Right. 545 00:20:10,040 --> 00:20:15,720 It's also about ensuring that AI doesn't erode our sense of autonomy and control over our lives. 546 00:20:15,720 --> 00:20:18,400 It's about finding a balance between the benefits of AI. 547 00:20:18,400 --> 00:20:18,720 Right. 548 00:20:18,720 --> 00:20:22,240 And the need to protect our fundamental rights and freedoms. 549 00:20:22,240 --> 00:20:22,880 Exactly. 550 00:20:22,880 --> 00:20:25,800 And that's a conversation that needs to involve everyone. 551 00:20:25,800 --> 00:20:26,000 Yeah. 552 00:20:26,000 --> 00:20:28,200 Not just tech experts and policymakers. 553 00:20:28,200 --> 00:20:28,640 Right. 554 00:20:28,640 --> 00:20:34,920 We all have a stake in shaping the future of AI and ensuring that it's used in a way that benefits humanity. 555 00:20:34,920 --> 00:20:35,240 Yeah. 556 00:20:35,240 --> 00:20:41,080 It is kind of both exciting and daunting to think about the possibilities and responsibilities. 557 00:20:41,080 --> 00:20:41,640 Right. 558 00:20:41,640 --> 00:20:43,920 What stands out to you from all of this? 559 00:20:43,920 --> 00:20:50,720 Honestly, it's the contrast between AI's potential for both disruption and positive change. 560 00:20:50,720 --> 00:20:55,720 On the one hand, we have this surprising lack of AI-driven chaos in the election. 561 00:20:55,720 --> 00:20:56,040 Right. 562 00:20:56,040 --> 00:20:57,360 Which is a huge relief. 563 00:20:57,360 --> 00:20:57,960 Yeah. 564 00:20:57,960 --> 00:21:04,880 But then we have this potential for a regulatory roller coaster under Trump, the wild card of musk's influence, 565 00:21:04,880 --> 00:21:08,120 and the rapid evolution of things like AI chatbots. 566 00:21:08,120 --> 00:21:08,520 Right. 567 00:21:08,520 --> 00:21:10,160 It's a lot to process. 568 00:21:10,160 --> 00:21:15,000 It really is, and it highlights the fact that AI is no longer a futuristic concept. 569 00:21:15,000 --> 00:21:15,640 It's here. 570 00:21:15,640 --> 00:21:19,800 It's evolving rapidly, and it's already shaping our lives in profound ways. 571 00:21:19,800 --> 00:21:23,240 So for those listening, what should we be paying attention to? 572 00:21:23,240 --> 00:21:23,520 Yeah. 573 00:21:23,520 --> 00:21:29,600 What are the key questions we need to be asking ourselves as we navigate this new AI-powered world? 574 00:21:29,600 --> 00:21:36,280 I think a crucial question is where do we draw the line between AI assisting us, AI making decisions for us, 575 00:21:36,280 --> 00:21:40,560 especially in high stakes areas like healthcare, criminal justice, or even warfare? 576 00:21:40,560 --> 00:21:41,080 Oh, wow. 577 00:21:41,080 --> 00:21:45,640 You know, we need to define the boundaries of AI's role in decision making. 578 00:21:45,640 --> 00:21:50,200 It's a bit unsettling to imagine AI making life-altering decisions for us. 579 00:21:50,200 --> 00:21:50,600 It is. 580 00:21:50,600 --> 00:21:55,640 But on the flip side, could AI actually help make government more efficient? 581 00:21:55,640 --> 00:22:00,400 As Elon Musk suggests, he's been given the reins to this new Department of Government efficiency. 582 00:22:00,400 --> 00:22:00,840 Correct. 583 00:22:00,840 --> 00:22:04,960 And knowing Musk, he's likely going to inject AI into that somehow. 584 00:22:04,960 --> 00:22:06,920 Yeah, that's the big question, isn't it? 585 00:22:06,920 --> 00:22:07,440 It is. 586 00:22:07,440 --> 00:22:12,400 Theoretically, AI could streamline bureaucratic processes, optimize resource allocation, 587 00:22:12,400 --> 00:22:15,520 even personalize public services to some extent. 588 00:22:15,520 --> 00:22:23,880 But there are huge concerns about potential bias, lack of transparency, and the erosion of human oversight. 589 00:22:23,880 --> 00:22:27,760 Musk will need to address these concerns head on if he wants to gain public trust. 590 00:22:27,760 --> 00:22:32,480 And let's not forget the potential for AI to worsen existing inequalities. 591 00:22:32,480 --> 00:22:33,160 Oh, for sure. 592 00:22:33,160 --> 00:22:40,640 If algorithms are trained on biased data that could perpetuate and even amplify those biases in government services, 593 00:22:40,640 --> 00:22:42,400 which would be incredibly damaging. 594 00:22:42,400 --> 00:22:42,920 Absolutely. 595 00:22:42,920 --> 00:22:44,120 It's not just about efficiency. 596 00:22:44,120 --> 00:22:45,760 It's about equity and fairness. 597 00:22:45,760 --> 00:22:46,320 Right. 598 00:22:46,320 --> 00:22:52,680 AI in government needs to serve all citizens equally and not disadvantage certain groups. 599 00:22:52,680 --> 00:23:00,800 This requires diverse teams developing the AI rigorous testing for bias and constant monitoring to ensure fair outcomes. 600 00:23:00,800 --> 00:23:02,400 It seems like we're at a pivotal moment. 601 00:23:02,400 --> 00:23:07,600 The choices we make today about how we develop and deploy AI will have far-reaching consequences. 602 00:23:07,600 --> 00:23:11,360 There's no doubt about that the future of AI is not preordained. 603 00:23:11,360 --> 00:23:11,880 Right. 604 00:23:11,880 --> 00:23:19,960 It's a future that we're creating collectively through our choices, our actions, and our ongoing engagement with this powerful technology. 605 00:23:19,960 --> 00:23:22,480 Thanks for listening to the Daily AI News Podcast. 606 00:23:22,480 --> 00:23:33,600 And stay tuned for more.