1 00:00:00,000 --> 00:00:02,400 Welcome to the Daily AI News Podcast. 2 00:00:02,400 --> 00:00:03,800 Are you ready for another deep dive? 3 00:00:03,800 --> 00:00:04,540 Always. 4 00:00:04,540 --> 00:00:05,480 Great. 5 00:00:05,480 --> 00:00:07,880 Today we're looking at some pretty cool AI stuff. 6 00:00:07,880 --> 00:00:10,320 New tools and features, plus some interesting discussions 7 00:00:10,320 --> 00:00:11,760 about regulating AI. 8 00:00:11,760 --> 00:00:14,880 We've got company announcements, policy proposals, 9 00:00:14,880 --> 00:00:17,680 even a little bit on the future of shopping online. 10 00:00:17,680 --> 00:00:19,560 It's gonna be a fascinating deep dive. 11 00:00:19,560 --> 00:00:20,920 Sounds like a packed agenda. 12 00:00:20,920 --> 00:00:22,200 This field moves so fast, 13 00:00:22,200 --> 00:00:23,840 it's always amazing to see what's new. 14 00:00:23,840 --> 00:00:26,600 Okay, so first up, Runway ML. 15 00:00:26,600 --> 00:00:30,960 They just released this new Gen 3 camera control feature. 16 00:00:30,960 --> 00:00:31,960 Have you had a chance to try it out? 17 00:00:31,960 --> 00:00:33,080 It looks really impressive. 18 00:00:33,080 --> 00:00:34,000 Yeah, I have. 19 00:00:34,000 --> 00:00:35,440 It's a total game changer. 20 00:00:35,440 --> 00:00:37,120 Remember when AI image generators 21 00:00:37,120 --> 00:00:39,000 could only make still images? 22 00:00:39,000 --> 00:00:40,200 Well, now with camera control, 23 00:00:40,200 --> 00:00:41,880 you can actually move the camera around 24 00:00:41,880 --> 00:00:43,400 in an AI-generated scene 25 00:00:43,400 --> 00:00:46,240 and make dynamic shots that tell a story. 26 00:00:46,240 --> 00:00:48,520 The sweeping panoramas, dramatic zooms, 27 00:00:48,520 --> 00:00:50,040 even slow tracking shots, 28 00:00:50,040 --> 00:00:51,720 it's like having a virtual film crew. 29 00:00:51,720 --> 00:00:52,760 Wow. 30 00:00:52,760 --> 00:00:54,240 That really does sound like it unlocks 31 00:00:54,240 --> 00:00:57,120 the whole new level of creative control. 32 00:00:57,120 --> 00:01:00,160 The examples Runway's been showing are incredible, 33 00:01:00,160 --> 00:01:01,880 like the cameras circling around a character 34 00:01:01,880 --> 00:01:04,120 as they walk or suddenly zooming out 35 00:01:04,120 --> 00:01:06,120 to show some hidden detail in the background. 36 00:01:06,120 --> 00:01:07,640 I can't wait to see what filmmakers 37 00:01:07,640 --> 00:01:09,000 and animators do with this. 38 00:01:09,000 --> 00:01:10,480 And it's not just about entertainment. 39 00:01:10,480 --> 00:01:12,040 Think about architecture. 40 00:01:12,040 --> 00:01:14,760 They could use it for virtual tours of buildings. 41 00:01:14,760 --> 00:01:18,120 VR developers could make even more immersive experiences 42 00:01:18,120 --> 00:01:21,360 and scientists could use it to visualize complex data 43 00:01:21,360 --> 00:01:23,120 in completely new ways. 44 00:01:23,120 --> 00:01:25,760 That's really interesting, so many possibilities. 45 00:01:25,760 --> 00:01:27,840 And speaking of pushing boundaries with AI 46 00:01:27,840 --> 00:01:29,280 and immersive experiences, 47 00:01:29,280 --> 00:01:31,040 Disney just made a pretty big move. 48 00:01:31,040 --> 00:01:33,280 They're setting up a whole new business unit 49 00:01:33,280 --> 00:01:36,480 just to explore AI and augmented reality 50 00:01:36,480 --> 00:01:38,280 across all of their different businesses. 51 00:01:38,280 --> 00:01:39,120 That's a big deal. 52 00:01:39,120 --> 00:01:41,760 Disney's all about those magical immersive experiences 53 00:01:41,760 --> 00:01:44,840 and they definitely see the potential of AI and AR 54 00:01:44,840 --> 00:01:46,840 to really take that to a whole new level. 55 00:01:46,840 --> 00:01:49,240 And remember, all that excitement around Disney's app 56 00:01:49,240 --> 00:01:51,160 for the Apple Vision Pro headset, 57 00:01:51,160 --> 00:01:53,920 while the person leading this new unit, Jamie Voris, 58 00:01:53,920 --> 00:01:56,160 is the same person who led that project. 59 00:01:56,160 --> 00:01:59,760 Wow, so that's a clear sign that Disney is serious 60 00:01:59,760 --> 00:02:03,080 about being a major player in mixed reality. 61 00:02:03,080 --> 00:02:05,880 And with companies like MetaApple, Sony, ByteDance, 62 00:02:05,880 --> 00:02:08,040 all competing in that space, 63 00:02:08,040 --> 00:02:10,160 it's gonna be fascinating to see what happens. 64 00:02:10,160 --> 00:02:12,160 I can't even imagine what kinds of experiences 65 00:02:12,160 --> 00:02:14,080 Disney might come up with. 66 00:02:14,080 --> 00:02:15,880 Imagine walking through a theme park 67 00:02:15,880 --> 00:02:17,560 where the physical and digital worlds 68 00:02:17,560 --> 00:02:19,520 just blend together seamlessly 69 00:02:19,520 --> 00:02:21,480 or interacting with your favorite characters 70 00:02:21,480 --> 00:02:22,640 in augmented reality. 71 00:02:22,640 --> 00:02:26,000 It could be a whole new era of entertainment and storytelling. 72 00:02:26,000 --> 00:02:27,840 It makes you wonder how we'll experience 73 00:02:27,840 --> 00:02:30,160 and interact with media in the future. 74 00:02:30,160 --> 00:02:31,200 Absolutely. 75 00:02:31,200 --> 00:02:33,200 Okay, shifting gears a bit to a company 76 00:02:33,200 --> 00:02:34,920 you might not immediately think of 77 00:02:34,920 --> 00:02:38,040 when it comes to cutting edge AI visa. 78 00:02:38,040 --> 00:02:39,440 They just announced they've already deployed 79 00:02:39,440 --> 00:02:42,800 over 500 generative AI applications internally. 80 00:02:42,800 --> 00:02:44,160 That might sound surprising, 81 00:02:44,160 --> 00:02:46,040 but when you think about the challenges they face, 82 00:02:46,040 --> 00:02:46,880 it makes sense. 83 00:02:46,880 --> 00:02:48,800 Visa's constantly fighting fraud. 84 00:02:48,800 --> 00:02:52,120 And AI is perfect for analyzing those huge amounts of data 85 00:02:52,120 --> 00:02:54,680 to catch fraudulent transactions before they happen. 86 00:02:54,680 --> 00:02:56,760 So it's like having an army of AI detectives 87 00:02:56,760 --> 00:03:01,120 working 24 seven behind the scenes to keep things safe. 88 00:03:01,120 --> 00:03:03,280 And they're not just using AI for security. 89 00:03:03,280 --> 00:03:05,440 They're also developing expert chatbots 90 00:03:05,440 --> 00:03:07,120 to help with customer service 91 00:03:07,120 --> 00:03:10,640 and even using AI to personalize customers billing cycles. 92 00:03:10,640 --> 00:03:12,720 What's interesting is that visa's approach with AI 93 00:03:12,720 --> 00:03:14,240 is kind of like flood the zone. 94 00:03:14,240 --> 00:03:15,840 They're trying out tons of applications 95 00:03:15,840 --> 00:03:17,480 all at once to see what works best. 96 00:03:17,480 --> 00:03:19,680 And then they scale up the successes really quickly. 97 00:03:19,680 --> 00:03:20,760 That's an interesting strategy. 98 00:03:20,760 --> 00:03:21,800 Yeah. 99 00:03:21,800 --> 00:03:23,520 But all this rapid adoption of AI 100 00:03:23,520 --> 00:03:26,040 does make you wonder about the implications, 101 00:03:26,040 --> 00:03:28,120 especially since visa also announced 102 00:03:28,120 --> 00:03:30,760 they're restructuring their international business. 103 00:03:30,760 --> 00:03:32,800 And that includes some layoffs. 104 00:03:32,800 --> 00:03:36,200 It highlights that tension between embracing AI innovation 105 00:03:36,200 --> 00:03:38,040 and how it affects human workers. 106 00:03:38,040 --> 00:03:40,480 That's a really important issue that we can't ignore. 107 00:03:40,480 --> 00:03:42,680 While AI can definitely help boost productivity 108 00:03:42,680 --> 00:03:45,160 and efficiency, we also have to think about the potential 109 00:03:45,160 --> 00:03:46,760 for job displacement and make sure 110 00:03:46,760 --> 00:03:49,360 we're transitioning fairly as these technologies become 111 00:03:49,360 --> 00:03:50,240 more common. 112 00:03:50,240 --> 00:03:51,520 It's complicated. 113 00:03:51,520 --> 00:03:52,880 No easy answers. 114 00:03:52,880 --> 00:03:54,720 It's something we need to keep talking about 115 00:03:54,720 --> 00:03:56,800 as AI becomes a bigger part of our lives. 116 00:03:56,800 --> 00:03:57,560 Definitely. 117 00:03:57,560 --> 00:04:00,120 We need to think about strong governance, data protection, 118 00:04:00,120 --> 00:04:03,120 and ethical considerations as AI spreads 119 00:04:03,120 --> 00:04:04,600 into different industries. 120 00:04:04,600 --> 00:04:07,400 OK, so sticking with AI becoming a bigger part 121 00:04:07,400 --> 00:04:10,200 of our everyday tools, Google's been making some noise 122 00:04:10,200 --> 00:04:12,280 with their Gemini AI Assistant. 123 00:04:12,280 --> 00:04:14,240 It's rolling out in Google Chat now. 124 00:04:14,240 --> 00:04:16,320 This is a perfect example of how AI 125 00:04:16,320 --> 00:04:19,000 is becoming a must-have in our workflow. 126 00:04:19,000 --> 00:04:22,240 Gemini can summarize conversations, create to-do lists, 127 00:04:22,240 --> 00:04:25,200 answer your questions right there in your chat window. 128 00:04:25,200 --> 00:04:28,080 It's like having a super organized virtual assistant 129 00:04:28,080 --> 00:04:30,480 who's always there to help you stay on top of everything 130 00:04:30,480 --> 00:04:32,920 and make sense of all the information coming at you. 131 00:04:32,920 --> 00:04:34,320 Really useful for teams. 132 00:04:34,320 --> 00:04:35,440 Absolutely. 133 00:04:35,440 --> 00:04:37,960 And as more and more people use tools like Google Chat 134 00:04:37,960 --> 00:04:41,160 to work together, having an AI Assistant like Gemini 135 00:04:41,160 --> 00:04:43,600 could make everyone so much more productive and help 136 00:04:43,600 --> 00:04:45,000 streamline communication. 137 00:04:45,000 --> 00:04:46,840 But there's some things to think about too. 138 00:04:46,840 --> 00:04:49,560 Right now, Gemini only analyzes the specific chat 139 00:04:49,560 --> 00:04:52,200 you're looking at, not your entire chat history. 140 00:04:52,200 --> 00:04:54,760 That's probably to address privacy concerns. 141 00:04:54,760 --> 00:04:57,400 Can you imagine if Gemini could see every conversation you've 142 00:04:57,400 --> 00:04:58,240 ever had? 143 00:04:58,240 --> 00:04:59,600 That would raise a lot of questions 144 00:04:59,600 --> 00:05:02,360 about data security and the potential for misuse. 145 00:05:02,360 --> 00:05:05,640 It makes you wonder, what happens when AI assistants get 146 00:05:05,640 --> 00:05:07,080 even more powerful? 147 00:05:07,080 --> 00:05:08,520 What's the future of communication 148 00:05:08,520 --> 00:05:10,560 going to look like when we have these incredibly 149 00:05:10,560 --> 00:05:11,720 powerful tools? 150 00:05:11,720 --> 00:05:13,720 It's exciting and a little scary. 151 00:05:13,720 --> 00:05:15,760 Will AI assistance become so essential 152 00:05:15,760 --> 00:05:18,080 that we can't imagine working without them? 153 00:05:18,080 --> 00:05:19,960 Or will people start pushing back because they're 154 00:05:19,960 --> 00:05:21,760 worried about privacy and control? 155 00:05:21,760 --> 00:05:23,720 Definitely something to watch as these technologies 156 00:05:23,720 --> 00:05:25,160 keep developing. 157 00:05:25,160 --> 00:05:27,360 OK, let's move on to a topic that always 158 00:05:27,360 --> 00:05:30,760 sparks debate, AI regulation. 159 00:05:30,760 --> 00:05:33,160 We've got some pretty strong opinions on both sides, 160 00:05:33,160 --> 00:05:35,920 starting with a joint statement from Microsoft 161 00:05:35,920 --> 00:05:38,760 and the venture capital firm, Andreessen Horowitz. 162 00:05:38,760 --> 00:05:41,440 They're basically saying, hands off, urging governments 163 00:05:41,440 --> 00:05:43,880 to stay away from regulating AI. 164 00:05:43,880 --> 00:05:46,400 They specifically oppose California's SB 165 00:05:46,400 --> 00:05:50,680 Quantum 47, which was trying to regulate large AI models. 166 00:05:50,680 --> 00:05:52,320 Their main argument is that regulation 167 00:05:52,320 --> 00:05:54,880 could stifle innovation and that letting the market do 168 00:05:54,880 --> 00:05:56,720 its thing is more effective. 169 00:05:56,720 --> 00:06:00,240 They also say AI systems need tons of data to learn effectively 170 00:06:00,240 --> 00:06:03,040 and that regulations might limit their access to that data. 171 00:06:03,040 --> 00:06:05,640 It's important to remember that both Microsoft and Andreessen 172 00:06:05,640 --> 00:06:08,360 Horowitz are heavily invested in AI. 173 00:06:08,360 --> 00:06:10,400 So their stance is probably influenced 174 00:06:10,400 --> 00:06:12,080 by wanting to protect their investments 175 00:06:12,080 --> 00:06:13,320 and avoid regulations. 176 00:06:13,320 --> 00:06:14,600 That's a good point. 177 00:06:14,600 --> 00:06:17,520 On the other side, we have Anthropic, another big player 178 00:06:17,520 --> 00:06:19,000 in the AI world. 179 00:06:19,000 --> 00:06:21,640 They're calling for targeted regulation. 180 00:06:21,640 --> 00:06:24,080 They argue that the potential risks of AI, 181 00:06:24,080 --> 00:06:26,000 especially in areas like cybersecurity 182 00:06:26,000 --> 00:06:28,800 and the possibility of using it for harmful purposes, 183 00:06:28,800 --> 00:06:31,680 outweigh the worries about slowing down innovation. 184 00:06:31,680 --> 00:06:34,680 Anthropic's approach is based on their responsible scaling 185 00:06:34,680 --> 00:06:37,200 policy, which emphasizes transparency, 186 00:06:37,200 --> 00:06:40,000 encouraging safe practices, and focusing on regulations 187 00:06:40,000 --> 00:06:41,440 that are simple and effective. 188 00:06:41,440 --> 00:06:43,640 They believe that well-designed regulations 189 00:06:43,640 --> 00:06:46,840 can help prevent risks without holding back progress. 190 00:06:46,840 --> 00:06:48,360 It's an interesting contrast. 191 00:06:48,360 --> 00:06:50,480 One side wants minimal government intervention, 192 00:06:50,480 --> 00:06:53,560 trusting the market to regulate itself and keep innovating. 193 00:06:53,560 --> 00:06:55,360 The other side wants proactive measures 194 00:06:55,360 --> 00:06:57,120 to address potential dangers before they 195 00:06:57,120 --> 00:06:58,520 become serious problems. 196 00:06:58,520 --> 00:07:02,320 It's a really complex debate with big ethical, economic, 197 00:07:02,320 --> 00:07:04,320 and societal implications. 198 00:07:04,320 --> 00:07:05,840 It highlights how challenging it is 199 00:07:05,840 --> 00:07:08,560 to navigate this constantly evolving technological 200 00:07:08,560 --> 00:07:09,680 landscape. 201 00:07:09,680 --> 00:07:12,120 How do we balance being excited about innovation 202 00:07:12,120 --> 00:07:15,080 with the need for responsible development and oversight? 203 00:07:15,080 --> 00:07:16,720 No easy answers. 204 00:07:16,720 --> 00:07:19,200 This is a conversation that needs a lot of different voices 205 00:07:19,200 --> 00:07:21,240 and perspectives to make sure we make good decisions 206 00:07:21,240 --> 00:07:24,120 about the future of AI decisions that benefit everyone. 207 00:07:24,120 --> 00:07:24,800 Absolutely. 208 00:07:24,800 --> 00:07:27,000 This is a topic we're going to keep exploring in part two 209 00:07:27,000 --> 00:07:29,920 of our deep dive into the latest AI developments. 210 00:07:29,920 --> 00:07:32,120 Stay tuned as we go deeper into the impact 211 00:07:32,120 --> 00:07:33,920 of all these advancements and discuss 212 00:07:33,920 --> 00:07:36,040 how we can navigate this rapidly changing world 213 00:07:36,040 --> 00:07:36,920 of technology. 214 00:07:36,920 --> 00:07:38,600 Picking up where we left off, I think 215 00:07:38,600 --> 00:07:40,120 it's really interesting to dive deeper 216 00:07:40,120 --> 00:07:42,760 into this whole idea of AI employees 217 00:07:42,760 --> 00:07:45,240 that Visa's president of technology, Rajat Taneja, 218 00:07:45,240 --> 00:07:46,080 talked about. 219 00:07:46,080 --> 00:07:47,560 Yeah, it's a pretty wild concept. 220 00:07:47,560 --> 00:07:48,040 Yeah. 221 00:07:48,040 --> 00:07:50,240 Thinking about a future where human workers might 222 00:07:50,240 --> 00:07:53,480 be managing teams of like eight to 10 AI employees 223 00:07:53,480 --> 00:07:56,200 to do different tasks really makes you think about what 224 00:07:56,200 --> 00:07:57,360 work is going to look like. 225 00:07:57,360 --> 00:08:00,880 Definitely raises so many questions. 226 00:08:00,880 --> 00:08:05,240 Will AI mostly be about making us humans better at our jobs, 227 00:08:05,240 --> 00:08:07,040 more efficient and productive? 228 00:08:07,040 --> 00:08:09,480 Or will it lead to a lot of people losing their jobs 229 00:08:09,480 --> 00:08:10,880 like some people are worried about? 230 00:08:10,880 --> 00:08:12,800 And how do you even manage an AI employee? 231 00:08:12,800 --> 00:08:14,960 It's not like you can give a performance review to lines 232 00:08:14,960 --> 00:08:15,840 of code. 233 00:08:15,840 --> 00:08:18,480 How do you set goals, give feedback, 234 00:08:18,480 --> 00:08:20,400 make sure they're making ethical decisions 235 00:08:20,400 --> 00:08:22,400 when your team members are algorithms? 236 00:08:22,400 --> 00:08:24,320 It's all totally new territory. 237 00:08:24,320 --> 00:08:26,320 We need to start talking about these things now. 238 00:08:26,320 --> 00:08:28,200 As AI gets more and more capable, 239 00:08:28,200 --> 00:08:30,600 we have to think about the potential social and economic 240 00:08:30,600 --> 00:08:33,280 impacts and figure out how to make this transition fair 241 00:08:33,280 --> 00:08:34,320 for everyone. 242 00:08:34,320 --> 00:08:35,320 That's so true. 243 00:08:35,320 --> 00:08:38,040 And speaking of navigating these complicated issues, 244 00:08:38,040 --> 00:08:40,880 let's go back to the AI regulation debate for a minute. 245 00:08:40,880 --> 00:08:44,320 We talked about Microsoft A16s and Anthropic. 246 00:08:44,320 --> 00:08:45,920 But that whole right to learn idea 247 00:08:45,920 --> 00:08:48,240 that Microsoft and A16s brought up in their statement 248 00:08:48,240 --> 00:08:49,200 is really intriguing. 249 00:08:49,200 --> 00:08:50,040 Oh, yeah. 250 00:08:50,040 --> 00:08:51,920 That's where things get philosophical. 251 00:08:51,920 --> 00:08:54,680 They're basically saying copyright law shouldn't stop 252 00:08:54,680 --> 00:08:56,680 AI systems from learning from data. 253 00:08:56,680 --> 00:08:58,480 Like machines should have the same right 254 00:08:58,480 --> 00:09:01,000 to access and process information as humans. 255 00:09:01,000 --> 00:09:04,520 But people who disagree point out that AI systems aren't human. 256 00:09:04,520 --> 00:09:07,160 They don't have feelings or inherent rights. 257 00:09:07,160 --> 00:09:10,000 They're tools made by companies to handle data. 258 00:09:10,000 --> 00:09:11,120 Exactly. 259 00:09:11,120 --> 00:09:15,400 Saying that facts belong to everyone oversimplifies things. 260 00:09:15,400 --> 00:09:18,040 Facts might be out there for everyone to see. 261 00:09:18,040 --> 00:09:19,960 But the way those facts are expressed, 262 00:09:19,960 --> 00:09:22,400 the creative work involved in presenting them, 263 00:09:22,400 --> 00:09:24,360 that's often protected by copyright. 264 00:09:24,360 --> 00:09:25,720 Like news articles. 265 00:09:25,720 --> 00:09:27,360 They have factual information. 266 00:09:27,360 --> 00:09:29,840 But they're also the result of someone's effort, their 267 00:09:29,840 --> 00:09:31,680 investigation, their storytelling. 268 00:09:31,680 --> 00:09:34,120 Using those articles to train AI without permission 269 00:09:34,120 --> 00:09:36,320 or payment raises ethical and legal questions 270 00:09:36,320 --> 00:09:37,560 about intellectual property. 271 00:09:37,560 --> 00:09:38,640 It's a tricky balance. 272 00:09:38,640 --> 00:09:40,800 We want to encourage AI innovation, 273 00:09:40,800 --> 00:09:43,040 let these systems learn from lots of data, 274 00:09:43,040 --> 00:09:44,640 but we also have to protect creators 275 00:09:44,640 --> 00:09:46,960 and make sure they're fairly compensated for their work. 276 00:09:46,960 --> 00:09:48,440 This whole debate shows how much we 277 00:09:48,440 --> 00:09:50,600 need clear legal frameworks that address 278 00:09:50,600 --> 00:09:52,720 the unique challenges of AI. 279 00:09:52,720 --> 00:09:55,280 We need to find a way to balance the interests of creators, 280 00:09:55,280 --> 00:09:57,680 tech companies, and society as a whole. 281 00:09:57,680 --> 00:09:59,440 And it's not just about laws. 282 00:09:59,440 --> 00:10:01,480 We need ethical standards and guidelines 283 00:10:01,480 --> 00:10:04,000 within the AI development community, too. 284 00:10:04,000 --> 00:10:06,240 Promoting responsible data use. 285 00:10:06,240 --> 00:10:10,000 Making sure these systems ultimately benefit humanity. 286 00:10:10,000 --> 00:10:11,240 Shifting gears a little. 287 00:10:11,240 --> 00:10:15,200 Let's talk about perplexity, that AI search engine. 288 00:10:15,200 --> 00:10:17,440 They're making some moves in the world of online shopping 289 00:10:17,440 --> 00:10:18,960 with their pro-shop feature. 290 00:10:18,960 --> 00:10:20,360 It's a bold move. 291 00:10:20,360 --> 00:10:23,440 Going up against giants like Amazon and Google Shopping 292 00:10:23,440 --> 00:10:25,640 by offering a shopping experience right there 293 00:10:25,640 --> 00:10:26,480 in their platform. 294 00:10:26,480 --> 00:10:29,840 They're using their AI to give personalized recommendations. 295 00:10:29,840 --> 00:10:32,040 Based on your search history, your preferences, 296 00:10:32,040 --> 00:10:33,480 even your past purchases. 297 00:10:33,480 --> 00:10:36,040 It's like having a personal AI shopping assistant. 298 00:10:36,040 --> 00:10:38,440 What's interesting is how perplexity is presenting itself 299 00:10:38,440 --> 00:10:40,400 as a trustworthy source of information. 300 00:10:40,400 --> 00:10:42,400 They're even getting into election tracking 301 00:10:42,400 --> 00:10:44,160 with their own information hub. 302 00:10:44,160 --> 00:10:46,120 But that does raise some concerns, 303 00:10:46,120 --> 00:10:49,840 especially since other big AI companies have been more cautious, 304 00:10:49,840 --> 00:10:53,480 acknowledging the potential for AI to create misinformation, 305 00:10:53,480 --> 00:10:54,920 especially during elections. 306 00:10:54,920 --> 00:10:56,160 It's a valid concern. 307 00:10:56,160 --> 00:10:58,760 There have been studies showing that AI chatbots can give out 308 00:10:58,760 --> 00:11:00,680 inaccurate or biased information. 309 00:11:00,680 --> 00:11:02,960 And the stakes are high when it comes to elections. 310 00:11:02,960 --> 00:11:05,080 Perplexity says they use reliable sources 311 00:11:05,080 --> 00:11:07,800 for their election hub, like the associated press 312 00:11:07,800 --> 00:11:09,480 and democracy works. 313 00:11:09,480 --> 00:11:12,080 But even with good data, there's always 314 00:11:12,080 --> 00:11:14,600 the risk of AI algorithms misinterpreting things 315 00:11:14,600 --> 00:11:16,240 or manipulating information. 316 00:11:16,240 --> 00:11:18,400 And that line between presenting facts 317 00:11:18,400 --> 00:11:21,960 and offering biased summaries or analysis can be hard to see. 318 00:11:21,960 --> 00:11:25,440 It's so important to really scrutinize what these AI systems 319 00:11:25,440 --> 00:11:26,480 are putting out. 320 00:11:26,480 --> 00:11:29,800 It's better when accuracy and being unbiased are so critical. 321 00:11:29,800 --> 00:11:31,960 This brings up a big question for our listeners. 322 00:11:31,960 --> 00:11:34,040 How do we get better at thinking critically 323 00:11:34,040 --> 00:11:36,840 about information in the age of AI? 324 00:11:36,840 --> 00:11:39,440 It all comes down to healthy skepticism, 325 00:11:39,440 --> 00:11:41,680 understanding where things can go wrong, 326 00:11:41,680 --> 00:11:43,160 always question the source. 327 00:11:43,160 --> 00:11:43,840 Who made this? 328 00:11:43,840 --> 00:11:44,800 Why did they make it? 329 00:11:44,800 --> 00:11:47,680 Do they have a reputation for being accurate and objective? 330 00:11:47,680 --> 00:11:50,160 It's like that classic advice, consider the source. 331 00:11:50,160 --> 00:11:52,120 But it's even more important now with AI. 332 00:11:52,120 --> 00:11:52,880 Exactly. 333 00:11:52,880 --> 00:11:55,560 AI can mix information from all over the place. 334 00:11:55,560 --> 00:11:57,840 So it's crucial to trace those sources back. 335 00:11:57,840 --> 00:11:59,240 Look for transparency. 336 00:11:59,240 --> 00:12:02,000 Does the AI tool tell you where it got its information? 337 00:12:02,000 --> 00:12:03,640 Can you check those sources yourself? 338 00:12:03,640 --> 00:12:04,800 That's a good point. 339 00:12:04,800 --> 00:12:07,720 It's easy to just accept a nicely written summary. 340 00:12:07,720 --> 00:12:10,120 But we have to dig deeper and make sure the information it's 341 00:12:10,120 --> 00:12:11,640 based on is solid. 342 00:12:11,640 --> 00:12:12,960 Absolutely. 343 00:12:12,960 --> 00:12:15,800 Another key skill is recognizing bias. 344 00:12:15,800 --> 00:12:19,040 Is the information leaning in a particular direction? 345 00:12:19,040 --> 00:12:22,160 Does it favor a certain viewpoint or agenda? 346 00:12:22,160 --> 00:12:25,840 Remember, AI models are trained on massive amounts of data. 347 00:12:25,840 --> 00:12:28,400 And that data can reflect the biases that already 348 00:12:28,400 --> 00:12:29,960 exist in our world. 349 00:12:29,960 --> 00:12:33,040 So even if an AI tool isn't intentionally biased, 350 00:12:33,040 --> 00:12:36,080 it can still pick up those biases from the data it learns from. 351 00:12:36,080 --> 00:12:37,080 Exactly. 352 00:12:37,080 --> 00:12:39,320 That's why it's so important to check information 353 00:12:39,320 --> 00:12:41,200 against multiple sources. 354 00:12:41,200 --> 00:12:44,160 Don't just rely on one AI tool or website. 355 00:12:44,160 --> 00:12:45,280 Get different perspectives. 356 00:12:45,280 --> 00:12:45,920 Compare them. 357 00:12:45,920 --> 00:12:48,440 Look for inconsistencies or anything that seems off. 358 00:12:48,440 --> 00:12:49,600 It's about getting the full picture 359 00:12:49,600 --> 00:12:51,000 by looking at things from different angles. 360 00:12:51,000 --> 00:12:51,720 Exactly. 361 00:12:51,720 --> 00:12:53,520 And don't be afraid to question what you see. 362 00:12:53,520 --> 00:12:55,560 Ask yourself, does this make sense 363 00:12:55,560 --> 00:12:56,720 based on what I already know? 364 00:12:56,720 --> 00:12:58,880 Does it raise any doubts in my mind? 365 00:12:58,880 --> 00:13:02,040 Being skeptical and willing to dig deeper is so important. 366 00:13:02,040 --> 00:13:04,160 It sounds like critical thinking in the age of AI 367 00:13:04,160 --> 00:13:07,240 means being an active participant, not just passively 368 00:13:07,240 --> 00:13:08,480 taking in information. 369 00:13:08,480 --> 00:13:09,720 Couldn't agree more. 370 00:13:09,720 --> 00:13:13,800 We need to be engaged, curious, willing to question 371 00:13:13,800 --> 00:13:15,360 what we see and hear. 372 00:13:15,360 --> 00:13:17,080 It's not about distrusting everything. 373 00:13:17,080 --> 00:13:19,040 It's about being discerning. 374 00:13:19,040 --> 00:13:21,280 Thinking about some of the things we've discussed, 375 00:13:21,280 --> 00:13:22,960 I'm curious about the long-term impact 376 00:13:22,960 --> 00:13:26,080 of these AI employees that Viz is talking about. 377 00:13:26,080 --> 00:13:27,640 How do you see that playing out? 378 00:13:27,640 --> 00:13:29,120 Hard to say for sure. 379 00:13:29,120 --> 00:13:32,000 I think we'll probably see a gradual integration of AI 380 00:13:32,000 --> 00:13:33,840 into different parts of our work. 381 00:13:33,840 --> 00:13:35,960 At first, it'll probably be about helping humans 382 00:13:35,960 --> 00:13:37,560 do their jobs better. 383 00:13:37,560 --> 00:13:40,520 Handling repetitive tasks, analyzing data, 384 00:13:40,520 --> 00:13:41,960 providing insights for decisions. 385 00:13:41,960 --> 00:13:44,560 So more like AI assistants or collaborators, 386 00:13:44,560 --> 00:13:46,880 not completely replacing human workers. 387 00:13:46,880 --> 00:13:48,320 That's probably the first step. 388 00:13:48,320 --> 00:13:50,440 But as AI gets more advanced, that line 389 00:13:50,440 --> 00:13:52,720 between assisting and replacing might get blurry. 390 00:13:52,720 --> 00:13:55,080 We need to be ready for potential changes in the workforce 391 00:13:55,080 --> 00:13:58,400 and invest in education and retraining to help people adapt. 392 00:13:58,400 --> 00:14:01,200 It's a reminder that AI isn't just changing technology. 393 00:14:01,200 --> 00:14:03,000 It's changing society. 394 00:14:03,000 --> 00:14:04,800 We need to be proactive about addressing 395 00:14:04,800 --> 00:14:07,200 the potential economic and social impacts. 396 00:14:07,200 --> 00:14:08,120 Absolutely. 397 00:14:08,120 --> 00:14:10,000 It goes beyond just jobs. 398 00:14:10,000 --> 00:14:12,440 AI brings up bigger questions about the nature of work, 399 00:14:12,440 --> 00:14:15,440 the value of human skills, the future of our economies. 400 00:14:15,440 --> 00:14:17,040 These are complex issues that need 401 00:14:17,040 --> 00:14:18,880 a lot of thought and discussion. 402 00:14:18,880 --> 00:14:21,120 On a lighter note, I'm really interested in the potential 403 00:14:21,120 --> 00:14:23,960 for Perplexity's ProShop to shake things up 404 00:14:23,960 --> 00:14:26,000 in the online shopping world. 405 00:14:26,000 --> 00:14:28,800 Do you think they have a real shot against a giant like Amazon? 406 00:14:28,800 --> 00:14:31,880 It's a classic David versus Goliath situation. 407 00:14:31,880 --> 00:14:35,040 Amazon has a huge infrastructure, a loyal customer base, 408 00:14:35,040 --> 00:14:36,440 and years of experience. 409 00:14:36,440 --> 00:14:40,840 But Perplexity has something unique, AI-powered personalization. 410 00:14:40,840 --> 00:14:43,000 So it sounds like they can really tailor the shopping 411 00:14:43,000 --> 00:14:46,000 experience to each person's preferences in a way 412 00:14:46,000 --> 00:14:47,880 that Amazon, with its massive catalog 413 00:14:47,880 --> 00:14:49,320 and more general recommendations, 414 00:14:49,320 --> 00:14:50,560 might not be able to match. 415 00:14:50,560 --> 00:14:51,440 Exactly. 416 00:14:51,440 --> 00:14:53,560 If they can deliver a shopping experience that 417 00:14:53,560 --> 00:14:56,720 is seamless, intuitive, and truly personalized, 418 00:14:56,720 --> 00:14:58,640 they could carve out a nice spot for themselves. 419 00:14:58,640 --> 00:15:01,320 It all comes down to execution and actually delivering 420 00:15:01,320 --> 00:15:02,640 on those promises. 421 00:15:02,640 --> 00:15:04,760 It's good to see that even with these huge companies, 422 00:15:04,760 --> 00:15:07,080 innovation and focusing on the user experience 423 00:15:07,080 --> 00:15:08,640 can still disrupt things. 424 00:15:08,640 --> 00:15:11,080 That's what keeps this field so interesting. 425 00:15:11,080 --> 00:15:14,880 AI is always pushing boundaries, challenging the status quo. 426 00:15:14,880 --> 00:15:17,920 It's our job to use it for good while managing the risks 427 00:15:17,920 --> 00:15:20,280 and making sure AI benefits everyone. 428 00:15:20,280 --> 00:15:23,840 Taking up from part two, what can people do to get better 429 00:15:23,840 --> 00:15:26,600 at critical thinking in this age of AI? 430 00:15:26,600 --> 00:15:28,800 It comes down to healthy skepticism 431 00:15:28,800 --> 00:15:31,440 and understanding the potential pitfalls. 432 00:15:31,440 --> 00:15:35,640 I think a good starting point is always questioning the source. 433 00:15:35,640 --> 00:15:37,040 Who created this information? 434 00:15:37,040 --> 00:15:38,360 What are their motivations? 435 00:15:38,360 --> 00:15:40,840 Are they known for being accurate and objective? 436 00:15:40,840 --> 00:15:43,720 It's like that classic advice, consider the source. 437 00:15:43,720 --> 00:15:45,760 But it's even more important now with AI. 438 00:15:45,760 --> 00:15:46,480 Exactly. 439 00:15:46,480 --> 00:15:49,080 AI can blend information from all sorts of sources. 440 00:15:49,080 --> 00:15:51,600 So it's crucial to trace those sources back. 441 00:15:51,600 --> 00:15:53,200 Look for transparency. 442 00:15:53,200 --> 00:15:55,200 Does the AI tool cite its sources? 443 00:15:55,200 --> 00:15:56,880 Can you verify them independently? 444 00:15:56,880 --> 00:15:57,320 Right. 445 00:15:57,320 --> 00:15:59,600 It's easy to get caught up in a well-written summary, 446 00:15:59,600 --> 00:16:02,280 but we have to make sure the underlying information is solid. 447 00:16:02,280 --> 00:16:03,080 Absolutely. 448 00:16:03,080 --> 00:16:06,080 Another key skill is recognizing potential bias. 449 00:16:06,080 --> 00:16:09,080 Is the information slanted in a particular direction? 450 00:16:09,080 --> 00:16:11,880 Does it favor a specific viewpoint or agenda? 451 00:16:11,880 --> 00:16:14,120 AI models are trained on huge amounts of data, 452 00:16:14,120 --> 00:16:17,400 and that data can reflect existing biases in society. 453 00:16:17,400 --> 00:16:21,440 So even if an AI tool isn't intentionally designed to be biased, 454 00:16:21,440 --> 00:16:24,840 it can still inherit those biases from the data it learns from. 455 00:16:24,840 --> 00:16:26,000 Precisely. 456 00:16:26,000 --> 00:16:28,560 That's why it's so important to cross-reference information 457 00:16:28,560 --> 00:16:30,120 from multiple sources. 458 00:16:30,120 --> 00:16:33,200 Don't rely on just one AI tool or website. 459 00:16:33,200 --> 00:16:34,280 Get different perspectives. 460 00:16:34,280 --> 00:16:36,240 Compare them and look for inconsistencies 461 00:16:36,240 --> 00:16:38,000 or anything that seems off. 462 00:16:38,000 --> 00:16:39,280 It's about getting the full picture 463 00:16:39,280 --> 00:16:41,240 by looking at things from different angles. 464 00:16:41,240 --> 00:16:42,720 Exactly. 465 00:16:42,720 --> 00:16:46,360 And don't be afraid to challenge the information you encounter. 466 00:16:46,360 --> 00:16:49,440 Ask yourself, does this align with what I already know? 467 00:16:49,440 --> 00:16:51,720 Does it raise any questions or doubts? 468 00:16:51,720 --> 00:16:54,440 Healthy skepticism and a willingness to dig deeper 469 00:16:54,440 --> 00:16:56,040 are really crucial. 470 00:16:56,040 --> 00:16:59,080 It sounds like critical thinking in the age of AI 471 00:16:59,080 --> 00:17:01,240 is about being an active participant, not 472 00:17:01,240 --> 00:17:03,440 a passive consumer of information. 473 00:17:03,440 --> 00:17:04,720 I couldn't agree more. 474 00:17:04,720 --> 00:17:07,120 We need to be engaged, curious, and willing to question 475 00:17:07,120 --> 00:17:08,400 what we see and hear. 476 00:17:08,400 --> 00:17:09,960 It's not about distrusting everything, 477 00:17:09,960 --> 00:17:13,560 but about approaching information with a discerning eye. 478 00:17:13,560 --> 00:17:16,000 Thinking about some of the developments we've talked about, 479 00:17:16,000 --> 00:17:18,480 I'm curious about the long-term implications of those AI 480 00:17:18,480 --> 00:17:20,440 employees that Visa mentioned. 481 00:17:20,440 --> 00:17:21,840 How do you see that playing out? 482 00:17:21,840 --> 00:17:23,200 Well, it's tough to say for sure, 483 00:17:23,200 --> 00:17:25,680 but I think we'll see a gradual integration of AI 484 00:17:25,680 --> 00:17:27,800 into various work processes. 485 00:17:27,800 --> 00:17:30,840 Initially, it'll probably focus on augmenting human capabilities, 486 00:17:30,840 --> 00:17:34,240 handling repetitive tasks, providing data analysis, 487 00:17:34,240 --> 00:17:36,080 offering insights for decision-making. 488 00:17:36,080 --> 00:17:38,880 Some more like AI assistants or collaborators, 489 00:17:38,880 --> 00:17:41,800 rather than full-fledged replacements for human workers. 490 00:17:41,800 --> 00:17:43,360 That's likely the first phase. 491 00:17:43,360 --> 00:17:45,920 But as AI capabilities advance, the line 492 00:17:45,920 --> 00:17:47,360 between assistance and replacement 493 00:17:47,360 --> 00:17:48,920 might become less clear. 494 00:17:48,920 --> 00:17:51,840 We need to be prepared for potential shifts in the workforce 495 00:17:51,840 --> 00:17:54,080 and invest in education and retraining programs 496 00:17:54,080 --> 00:17:55,240 to help people adapt. 497 00:17:55,240 --> 00:17:57,160 It's a reminder that AI isn't just 498 00:17:57,160 --> 00:18:00,760 a technological evolution, but a societal one. 499 00:18:00,760 --> 00:18:02,520 We need to be proactive about addressing 500 00:18:02,520 --> 00:18:04,760 the potential economic and social impacts. 501 00:18:04,760 --> 00:18:05,760 Absolutely. 502 00:18:05,760 --> 00:18:07,200 And it goes beyond jobs. 503 00:18:07,200 --> 00:18:09,880 AI raises broader questions about the nature of work, 504 00:18:09,880 --> 00:18:13,040 the value of human skills, and the future of our economies. 505 00:18:13,040 --> 00:18:15,440 These are complex issues that require careful thought 506 00:18:15,440 --> 00:18:16,480 and discussion. 507 00:18:16,480 --> 00:18:18,000 Shifting gears for a moment. 508 00:18:18,000 --> 00:18:20,480 I'm really intrigued by the potential for Perplexity's 509 00:18:20,480 --> 00:18:23,520 pro-shop to disrupt the e-commerce landscape. 510 00:18:23,520 --> 00:18:25,600 Do you think they have a real chance against a giant 511 00:18:25,600 --> 00:18:26,640 like Amazon? 512 00:18:26,640 --> 00:18:30,040 It's a classic David versus Goliath scenario. 513 00:18:30,040 --> 00:18:33,680 Amazon has a massive infrastructure, a loyal customer 514 00:18:33,680 --> 00:18:35,720 base, and years of experience. 515 00:18:35,720 --> 00:18:38,240 But Perplexity has a unique advantage, 516 00:18:38,240 --> 00:18:40,440 AI-powered personalization. 517 00:18:40,440 --> 00:18:42,880 It sounds like they can tailor the shopping experience 518 00:18:42,880 --> 00:18:45,960 to individual preferences in a way that Amazon, 519 00:18:45,960 --> 00:18:49,240 with its vast catalog and more generic recommendations, 520 00:18:49,240 --> 00:18:50,400 might struggle to match. 521 00:18:50,400 --> 00:18:51,760 Exactly. 522 00:18:51,760 --> 00:18:54,960 If they can deliver a seamless, intuitive, and truly 523 00:18:54,960 --> 00:18:57,280 personalized shopping experience, 524 00:18:57,280 --> 00:19:00,080 they could carve out a significant space for themselves. 525 00:19:00,080 --> 00:19:02,320 It all comes down to execution and fulfilling 526 00:19:02,320 --> 00:19:03,200 those promises. 527 00:19:03,200 --> 00:19:05,120 It's encouraging to see that even in the face 528 00:19:05,120 --> 00:19:07,960 of these huge companies, innovation and a focus 529 00:19:07,960 --> 00:19:11,040 on user experience can create opportunities for disruption. 530 00:19:11,040 --> 00:19:13,040 That's what makes this field so fascinating. 531 00:19:13,040 --> 00:19:15,960 AI is a catalyst for change, constantly pushing boundaries 532 00:19:15,960 --> 00:19:18,080 and challenging established norms. 533 00:19:18,080 --> 00:19:20,200 It's up to us to harness its potential for good 534 00:19:20,200 --> 00:19:22,760 while mitigating the risks and ensuring AI benefits 535 00:19:22,760 --> 00:19:23,920 all of humanity. 536 00:19:23,920 --> 00:19:25,680 We've covered a lot of ground in this deep dive, 537 00:19:25,680 --> 00:19:28,840 from the creative potential of Runway's Gen 3 camera control 538 00:19:28,840 --> 00:19:30,920 to the complexities of AI regulation 539 00:19:30,920 --> 00:19:33,600 and the possibility of AI transforming e-commerce. 540 00:19:33,600 --> 00:19:35,320 It's been a really interesting conversation. 541 00:19:35,320 --> 00:19:36,200 It has. 542 00:19:36,200 --> 00:19:38,520 And it highlights how quickly this field is moving. 543 00:19:38,520 --> 00:19:41,320 What was once science fiction is becoming our reality. 544 00:19:41,320 --> 00:19:42,760 And it's a reminder that we're all 545 00:19:42,760 --> 00:19:44,880 part of this evolving story. 546 00:19:44,880 --> 00:19:47,680 The choices we make today individually as businesses 547 00:19:47,680 --> 00:19:50,760 and as a society will shape the future of AI 548 00:19:50,760 --> 00:19:52,200 and its impact on our world. 549 00:19:52,200 --> 00:19:54,440 So to our listeners, I leave you with this. 550 00:19:54,440 --> 00:19:57,960 Stay informed, stay engaged, and stay curious. 551 00:19:57,960 --> 00:20:00,040 The future of AI is being written right now, 552 00:20:00,040 --> 00:20:02,120 and we all have a role to play in shaping it. 553 00:20:02,120 --> 00:20:04,000 Thank you for joining us on this deep dive 554 00:20:04,000 --> 00:20:06,160 into the ever-evolving world of AI. 555 00:20:06,160 --> 00:20:08,280 We hope you found it insightful and thought-provoking. 556 00:20:08,280 --> 00:20:10,360 Until next time, keep exploring the frontiers 557 00:20:10,360 --> 00:20:11,960 of artificial intelligence. 558 00:20:11,960 --> 00:20:14,360 Thanks for listening to the Daily AI News Podcast, 559 00:20:14,360 --> 00:20:41,920 and stay tuned for more.