1 00:00:00,000 --> 00:00:02,520 Welcome to the Daily AI News Podcast. 2 00:00:02,520 --> 00:00:04,760 You know we've got some really cool AI stuff 3 00:00:04,760 --> 00:00:06,120 to dive into today. 4 00:00:06,120 --> 00:00:08,140 You guys send us some fascinating developments. 5 00:00:08,140 --> 00:00:12,040 It's really amazing to see how AI is popping up everywhere. 6 00:00:12,040 --> 00:00:14,660 Seriously, everything from AI agents 7 00:00:14,660 --> 00:00:17,240 that can handle your finances to AI 8 00:00:17,240 --> 00:00:20,120 that's changing how we design and experience sports. 9 00:00:20,120 --> 00:00:22,880 AI is revolutionizing the world around us, that's for sure. 10 00:00:22,880 --> 00:00:24,480 All right, let's jump right in. 11 00:00:25,360 --> 00:00:27,460 One of the things that really grabbed my attention 12 00:00:27,460 --> 00:00:30,920 was this whole idea of AI agents stepping into the financial world. 13 00:00:30,920 --> 00:00:31,840 Oh, that's a big one. 14 00:00:31,840 --> 00:00:36,800 Can you imagine AI booking your flights, sending invoices, 15 00:00:36,800 --> 00:00:38,960 even like managing your whole budget? 16 00:00:38,960 --> 00:00:40,520 It's not just a concept anymore. 17 00:00:40,520 --> 00:00:41,200 I know. 18 00:00:41,200 --> 00:00:43,440 That's the kind of future that Stripe seems to be hinting at 19 00:00:43,440 --> 00:00:44,720 with their new agent toolkit. 20 00:00:44,720 --> 00:00:46,040 It's pretty impressive stuff. 21 00:00:46,040 --> 00:00:47,980 What makes it so interesting is that it goes beyond 22 00:00:47,980 --> 00:00:52,200 just understanding instructions like book a flight under $500. 23 00:00:52,200 --> 00:00:55,160 This toolkit connects AI's language capabilities 24 00:00:55,160 --> 00:00:57,120 with actual financial tools. 25 00:00:57,120 --> 00:00:57,620 Oh, wow. 26 00:00:57,620 --> 00:01:00,400 So these AI agents can not only understand what you need, 27 00:01:00,400 --> 00:01:03,400 but actually execute the transactions to make it happen. 28 00:01:03,400 --> 00:01:04,480 That's incredible. 29 00:01:04,480 --> 00:01:07,720 So it's like having a personal AI financial assistant 30 00:01:07,720 --> 00:01:09,480 that can actually handle money for you. 31 00:01:09,480 --> 00:01:10,280 Exactly. 32 00:01:10,280 --> 00:01:13,280 Stripe is really pushing the boundaries of what's possible 33 00:01:13,280 --> 00:01:14,800 with AI and finance. 34 00:01:14,800 --> 00:01:15,680 Yeah. 35 00:01:15,680 --> 00:01:17,960 And to do this, they're rolling out some pretty 36 00:01:17,960 --> 00:01:19,320 sophisticated technology. 37 00:01:19,320 --> 00:01:21,880 Like, have you heard about their issuing tool? 38 00:01:21,880 --> 00:01:23,280 Yes, it's a game changer. 39 00:01:23,280 --> 00:01:26,640 It lets AI agents generate virtual cards 40 00:01:26,640 --> 00:01:29,360 with super specific spending limits. 41 00:01:29,360 --> 00:01:30,920 It's all about managing risk. 42 00:01:30,920 --> 00:01:31,420 Right. 43 00:01:31,420 --> 00:01:34,520 So your AI travel agent could pick that flight, 44 00:01:34,520 --> 00:01:36,680 but it knows it can't go a penny over your budget. 45 00:01:36,680 --> 00:01:38,200 Precisely. 46 00:01:38,200 --> 00:01:39,560 And the implications are huge. 47 00:01:39,560 --> 00:01:41,920 Think about businesses having AI agents 48 00:01:41,920 --> 00:01:45,400 that take care of all their invoicing, manage expenses, 49 00:01:45,400 --> 00:01:47,160 maybe even negotiate deals. 50 00:01:47,160 --> 00:01:47,920 Whoa. 51 00:01:47,920 --> 00:01:50,520 We're talking about automating some really complex financial 52 00:01:50,520 --> 00:01:51,240 tasks here. 53 00:01:51,240 --> 00:01:52,720 It's the future of finance. 54 00:01:52,720 --> 00:01:55,280 It really makes you wonder how jobs might change 55 00:01:55,280 --> 00:01:58,040 as AI takes over more of these responsibilities. 56 00:01:58,040 --> 00:01:59,160 It's a valid concern. 57 00:01:59,160 --> 00:02:01,160 So how does all of this get paid for? 58 00:02:01,160 --> 00:02:02,440 Well, Stripe has thought of that. 59 00:02:02,440 --> 00:02:04,760 They're using something called metered billing, 60 00:02:04,760 --> 00:02:08,840 where you essentially pay for how much the AI agent actually 61 00:02:08,840 --> 00:02:12,640 thinks, which is mired by the number of tokens it uses. 62 00:02:12,640 --> 00:02:13,520 Oh, interesting. 63 00:02:13,520 --> 00:02:16,640 So it's like, you're paying for the AI's brain power, 64 00:02:16,640 --> 00:02:19,080 kind of like we pay for our electricity usage at home. 65 00:02:19,080 --> 00:02:20,080 That's a great analogy. 66 00:02:20,080 --> 00:02:22,160 But with all this power comes the need 67 00:02:22,160 --> 00:02:24,360 for some serious testing, right? 68 00:02:24,360 --> 00:02:25,800 We're talking about finances here. 69 00:02:25,800 --> 00:02:28,160 So reliability has got to be rock solid. 70 00:02:28,160 --> 00:02:29,440 Absolutely. 71 00:02:29,440 --> 00:02:31,800 And one thing to remember is that AI agents, 72 00:02:31,800 --> 00:02:34,000 by their very nature, can sometimes 73 00:02:34,000 --> 00:02:35,760 act in unpredictable ways. 74 00:02:35,760 --> 00:02:37,040 Oh, that's a little scary. 75 00:02:37,040 --> 00:02:39,240 It's why Stripe is taking steps to make sure things 76 00:02:39,240 --> 00:02:40,720 don't go off the rails. 77 00:02:40,720 --> 00:02:43,880 They're carefully controlling what their AI toolkit has access 78 00:02:43,880 --> 00:02:47,000 to and limiting the amount of data it handles at any given 79 00:02:47,000 --> 00:02:47,520 time. 80 00:02:47,520 --> 00:02:50,280 So basically making sure that the AI stays focused 81 00:02:50,280 --> 00:02:52,920 and doesn't go rogue, especially with sensitive financial 82 00:02:52,920 --> 00:02:53,520 information. 83 00:02:53,520 --> 00:02:54,440 That's the idea. 84 00:02:54,440 --> 00:02:55,840 That's smart. 85 00:02:55,840 --> 00:02:58,320 OK, so continuing on this whole idea of making the internet 86 00:02:58,320 --> 00:03:01,320 more AI friendly, there's this really interesting concept 87 00:03:01,320 --> 00:03:04,040 called the LLM's.txt file. 88 00:03:04,040 --> 00:03:05,080 Have you heard about this? 89 00:03:05,080 --> 00:03:05,680 Oh, yes. 90 00:03:05,680 --> 00:03:07,240 It's a fascinating development. 91 00:03:07,240 --> 00:03:09,120 Basically, it's a way for websites 92 00:03:09,120 --> 00:03:12,680 to provide a condensed version of their content that's 93 00:03:12,680 --> 00:03:14,960 specifically designed for AI. 94 00:03:14,960 --> 00:03:16,960 Because even the most advanced AI out there 95 00:03:16,960 --> 00:03:20,560 still has limits on how much information it can process at once. 96 00:03:20,560 --> 00:03:25,760 And this LLM's.txt file, it acts like a cheat sheet. 97 00:03:25,760 --> 00:03:28,640 It gives the AI a quick summary of the key points 98 00:03:28,640 --> 00:03:29,480 on the web page. 99 00:03:29,480 --> 00:03:32,160 So instead of waiting through a whole massive website, 100 00:03:32,160 --> 00:03:34,320 the AI can just grab the important stuff right away. 101 00:03:34,320 --> 00:03:35,000 Exactly. 102 00:03:35,000 --> 00:03:37,520 And the cool thing is it's designed to be readable by humans, 103 00:03:37,520 --> 00:03:38,280 too. 104 00:03:38,280 --> 00:03:40,480 It uses a pretty straightforward format. 105 00:03:40,480 --> 00:03:43,640 The goal is to make it a standard way for websites 106 00:03:43,640 --> 00:03:48,160 to basically talk to AI, similar to how we use robots.txt 107 00:03:48,160 --> 00:03:49,880 to tell search engines what to do. 108 00:03:49,880 --> 00:03:50,680 Oh, that makes sense. 109 00:03:50,680 --> 00:03:52,800 Yeah, so it's kind of like a universal language. 110 00:03:52,800 --> 00:03:56,600 So this LLM's.txt file could really change how we find and use 111 00:03:56,600 --> 00:03:58,120 information online, huh? 112 00:03:58,120 --> 00:03:59,120 Absolutely. 113 00:03:59,120 --> 00:04:02,360 Search engines, AI assistants, all sorts of tools 114 00:04:02,360 --> 00:04:04,760 could use it to better understand the content on the web. 115 00:04:04,760 --> 00:04:06,120 It could be a game changer. 116 00:04:06,120 --> 00:04:07,640 It really could. 117 00:04:07,640 --> 00:04:10,400 Shifting gears a bit, let's talk about content creation. 118 00:04:10,400 --> 00:04:11,000 OK. 119 00:04:11,000 --> 00:04:14,480 Google Docs just got a major AI upgrade. 120 00:04:14,480 --> 00:04:17,240 They're now integrating Gemini, which 121 00:04:17,240 --> 00:04:20,920 is their AI powered by the Image in 3D model. 122 00:04:20,920 --> 00:04:21,520 Wow. 123 00:04:21,520 --> 00:04:25,440 So you can now create images right inside your Google Docs. 124 00:04:25,440 --> 00:04:26,720 That's amazing. 125 00:04:26,720 --> 00:04:29,400 I know Google has been adding AI to Docs and Slides 126 00:04:29,400 --> 00:04:31,400 for a while now, but this is on another level. 127 00:04:31,400 --> 00:04:33,000 It's really a natural progression. 128 00:04:33,000 --> 00:04:33,480 It is. 129 00:04:33,480 --> 00:04:36,840 AI is becoming a core part of the tools we use every day. 130 00:04:36,840 --> 00:04:37,440 Exactly. 131 00:04:37,440 --> 00:04:38,760 It's not just a novelty anymore. 132 00:04:38,760 --> 00:04:39,560 It's essential. 133 00:04:39,560 --> 00:04:41,440 And with this new feature, it's not just 134 00:04:41,440 --> 00:04:44,880 about adding those basic clip art images, right? 135 00:04:44,880 --> 00:04:45,320 Oh, no. 136 00:04:45,320 --> 00:04:46,960 It's much more sophisticated than that. 137 00:04:46,960 --> 00:04:50,120 You can create detailed images, choose from different styles, 138 00:04:50,120 --> 00:04:53,240 even make full bleed cover images for your documents. 139 00:04:53,240 --> 00:04:55,040 The possibilities are endless. 140 00:04:55,040 --> 00:04:57,120 Imagine being able to make a custom illustration 141 00:04:57,120 --> 00:05:00,040 for your resume or a really striking visual 142 00:05:00,040 --> 00:05:03,360 for a presentation without even having to leave Google Docs. 143 00:05:03,360 --> 00:05:04,560 It's incredibly powerful. 144 00:05:04,560 --> 00:05:06,840 It really empowers people to communicate more visually 145 00:05:06,840 --> 00:05:08,240 and express themselves creatively, 146 00:05:08,240 --> 00:05:10,640 even if they're not professional designers. 147 00:05:10,640 --> 00:05:12,480 It democratizes creativity. 148 00:05:12,480 --> 00:05:13,240 Exactly. 149 00:05:13,240 --> 00:05:16,920 But as exciting as all these advancements are, 150 00:05:16,920 --> 00:05:19,520 we can't ignore the potential downsides. 151 00:05:19,520 --> 00:05:20,240 That's right. 152 00:05:20,240 --> 00:05:23,400 All this amazing AI requires a lot of energy. 153 00:05:23,400 --> 00:05:27,120 And Microsoft, who are one of the leaders in this field, 154 00:05:27,120 --> 00:05:29,080 they're facing a real challenge right now. 155 00:05:29,080 --> 00:05:29,800 A big one. 156 00:05:29,800 --> 00:05:33,800 They have this goal to be carbon negative by 2030. 157 00:05:33,800 --> 00:05:36,480 But the energy demands of their AI work 158 00:05:36,480 --> 00:05:39,400 are just increasing rapidly. 159 00:05:39,400 --> 00:05:41,400 It's a real dilemma that a lot of tech companies 160 00:05:41,400 --> 00:05:42,120 are struggling with. 161 00:05:42,120 --> 00:05:43,200 It's a balancing act. 162 00:05:43,200 --> 00:05:46,000 But to their credit, Microsoft isn't just 163 00:05:46,000 --> 00:05:47,480 sitting back and doing nothing. 164 00:05:47,480 --> 00:05:48,240 Oh, no, they're not. 165 00:05:48,240 --> 00:05:50,120 They're actually investing in this technology 166 00:05:50,120 --> 00:05:51,880 called direct air capture. 167 00:05:51,880 --> 00:05:53,520 It's a very promising approach. 168 00:05:53,520 --> 00:05:54,760 It's also known as DAC. 169 00:05:54,760 --> 00:05:55,760 DAC. 170 00:05:55,760 --> 00:05:58,200 And it basically pulls carbon dioxide right out 171 00:05:58,200 --> 00:05:58,920 of the atmosphere. 172 00:05:58,920 --> 00:05:59,680 That's the idea. 173 00:05:59,680 --> 00:06:01,960 So it's kind of like a giant air purifier for the planet. 174 00:06:01,960 --> 00:06:02,680 Air-sightly. 175 00:06:02,680 --> 00:06:03,640 It's a bold solution. 176 00:06:03,640 --> 00:06:06,080 Now, I know this tech is still pretty early in its development. 177 00:06:06,080 --> 00:06:07,000 It is. 178 00:06:07,000 --> 00:06:10,120 But Microsoft is taking a very proactive approach. 179 00:06:10,120 --> 00:06:12,440 They're partnering with the Royal Bank of Canada 180 00:06:12,440 --> 00:06:16,000 and this company called DeepSky to speed up its development. 181 00:06:16,000 --> 00:06:17,880 It's a major collaboration. 182 00:06:17,880 --> 00:06:20,440 And together, they're setting up a really unique project 183 00:06:20,440 --> 00:06:21,520 in Alberta, Canada. 184 00:06:21,520 --> 00:06:22,800 It's very innovative. 185 00:06:22,800 --> 00:06:24,480 They're basically creating a competition 186 00:06:24,480 --> 00:06:26,600 for eight different DIT startups. 187 00:06:26,600 --> 00:06:27,680 Oh, it's fascinating. 188 00:06:27,680 --> 00:06:29,320 A carbon removal showdown. 189 00:06:29,320 --> 00:06:30,320 Yeah. 190 00:06:30,320 --> 00:06:31,880 It's a clever strategy. 191 00:06:31,880 --> 00:06:35,320 By giving these startups shared resources and support, 192 00:06:35,320 --> 00:06:38,160 they can focus on refining their carbon removal methods. 193 00:06:38,160 --> 00:06:39,720 It streamlines the process. 194 00:06:39,720 --> 00:06:42,320 And the hope is to find that winning solution, 195 00:06:42,320 --> 00:06:44,640 the one that can be scaled up to actually make 196 00:06:44,640 --> 00:06:46,040 a difference on a global scale. 197 00:06:46,040 --> 00:06:47,600 That's the ultimate goal. 198 00:06:47,600 --> 00:06:50,040 It's definitely a project to keep an eye on. 199 00:06:50,040 --> 00:06:51,800 Speaking of innovative strategies, 200 00:06:51,800 --> 00:06:56,680 Yum Brands, the company behind Taco Bell, KFC, and Pizza Hut, 201 00:06:56,680 --> 00:06:59,840 they're using AI to create some seriously effective marketing 202 00:06:59,840 --> 00:07:00,520 campaigns. 203 00:07:00,520 --> 00:07:02,080 They're really pushing the envelope. 204 00:07:02,080 --> 00:07:03,320 What's so fascinating is how they're 205 00:07:03,320 --> 00:07:07,400 moving away from those generic one-size-fits-all ads. 206 00:07:07,400 --> 00:07:11,000 They're using AI to personalize marketing messages, 207 00:07:11,000 --> 00:07:13,680 taking into account things like your past purchases, 208 00:07:13,680 --> 00:07:15,920 what time of day it is, even the weather. 209 00:07:15,920 --> 00:07:17,720 That's some next level marketing. 210 00:07:17,720 --> 00:07:18,080 Right. 211 00:07:18,080 --> 00:07:20,760 So no more getting those ads for giant burritos at 7 212 00:07:20,760 --> 00:07:22,840 in the morning when all you want is a cup of coffee. 213 00:07:22,840 --> 00:07:23,720 Exactly. 214 00:07:23,720 --> 00:07:26,840 The AI knows what you're likely to crave 215 00:07:26,840 --> 00:07:30,000 and when it anticipates your needs. 216 00:07:30,000 --> 00:07:31,440 It's pretty amazing. 217 00:07:31,440 --> 00:07:34,000 And they're also using something called reinforcement learning 218 00:07:34,000 --> 00:07:37,240 to constantly test and fine tune their messages 219 00:07:37,240 --> 00:07:38,320 in real time. 220 00:07:38,320 --> 00:07:40,600 It's a continuous optimization process. 221 00:07:40,600 --> 00:07:43,320 It's like having a team of marketers working 24-7 222 00:07:43,320 --> 00:07:45,200 to personalize every single interaction. 223 00:07:45,200 --> 00:07:47,440 It's AI-powered marketing at its best. 224 00:07:47,440 --> 00:07:48,760 And it seems to be working. 225 00:07:48,760 --> 00:07:52,160 They're seeing big increases in customer engagement and sales. 226 00:07:52,160 --> 00:07:54,440 It really shows the power of AI to personalize 227 00:07:54,440 --> 00:07:57,680 the customer experience to boost those business results. 228 00:07:57,680 --> 00:07:58,640 It's a win-win. 229 00:07:58,640 --> 00:08:01,200 And the really interesting part is that they're not stopping there. 230 00:08:01,200 --> 00:08:04,480 They're talking about expanding these AI-driven marketing 231 00:08:04,480 --> 00:08:08,520 strategies to mobile apps, drive thrusts, even 232 00:08:08,520 --> 00:08:10,080 personalized menu boards. 233 00:08:10,080 --> 00:08:11,720 It's like the future of fast food. 234 00:08:11,720 --> 00:08:12,200 It is. 235 00:08:12,200 --> 00:08:15,320 It's a glimpse into a future where basically every interaction 236 00:08:15,320 --> 00:08:18,040 you have with a brand is completely customized 237 00:08:18,040 --> 00:08:19,120 to your preferences. 238 00:08:19,120 --> 00:08:21,120 It's the ultimate personalization. 239 00:08:21,120 --> 00:08:21,480 All right. 240 00:08:21,480 --> 00:08:23,760 One last story before we wrap up, part one. 241 00:08:23,760 --> 00:08:24,400 OK. 242 00:08:24,400 --> 00:08:27,560 Coca-Cola is making headlines with their latest Christmas 243 00:08:27,560 --> 00:08:28,240 commercial. 244 00:08:28,240 --> 00:08:29,720 It's causing quite a stir. 245 00:08:29,720 --> 00:08:30,240 It is. 246 00:08:30,240 --> 00:08:32,600 They use AI to create parts of the ad. 247 00:08:32,600 --> 00:08:34,560 And people have some strong opinions about it. 248 00:08:34,560 --> 00:08:37,400 The use of AI in creative fields is always a hot topic. 249 00:08:37,400 --> 00:08:39,440 It definitely sparked a lot of debate online. 250 00:08:39,440 --> 00:08:42,360 Some people are really excited about this innovative approach 251 00:08:42,360 --> 00:08:46,200 while others think the ad lacks emotion and authenticity. 252 00:08:46,200 --> 00:08:48,440 It's a perfect example of how AI is pushing 253 00:08:48,440 --> 00:08:49,880 the boundaries of what's possible, 254 00:08:49,880 --> 00:08:52,160 but also raising questions about its role 255 00:08:52,160 --> 00:08:53,800 in the creative process. 256 00:08:53,800 --> 00:08:54,560 Yeah. 257 00:08:54,560 --> 00:08:56,600 So let's dive into the details. 258 00:08:56,600 --> 00:08:59,440 The ad itself is a tribute to their iconic, 259 00:08:59,440 --> 00:09:03,000 holidays are coming campaign, with those classic red trucks 260 00:09:03,000 --> 00:09:04,000 driving through the snow. 261 00:09:04,000 --> 00:09:05,080 I love that campaign. 262 00:09:05,080 --> 00:09:05,520 Me too. 263 00:09:05,520 --> 00:09:06,800 It's a classic. 264 00:09:06,800 --> 00:09:08,800 But it's those AI-generated visuals 265 00:09:08,800 --> 00:09:10,920 that have drawn the most criticism. 266 00:09:10,920 --> 00:09:13,720 Some people find them a bit weird or even creepy. 267 00:09:13,720 --> 00:09:16,520 It shows that even with all the advancements in AI, 268 00:09:16,520 --> 00:09:19,360 it still has trouble replicating certain aspects 269 00:09:19,360 --> 00:09:20,680 of human creativity. 270 00:09:20,680 --> 00:09:21,840 That's an interesting point. 271 00:09:21,840 --> 00:09:24,600 Artists bring this level of intuition and understanding 272 00:09:24,600 --> 00:09:28,280 to their work that's still difficult for AI to fully grasp. 273 00:09:28,280 --> 00:09:30,520 But Coca-Cola seems undeterred. 274 00:09:30,520 --> 00:09:33,400 They're highlighting the speed and cost-effectiveness 275 00:09:33,400 --> 00:09:36,280 of using AI to generate content. 276 00:09:36,280 --> 00:09:38,880 They see it as a way to create more diverse and customized 277 00:09:38,880 --> 00:09:39,880 marketing materials. 278 00:09:39,880 --> 00:09:41,480 It's a very pragmatic perspective. 279 00:09:41,480 --> 00:09:41,920 It is. 280 00:09:41,920 --> 00:09:45,320 AI can definitely churn out content quickly and efficiently. 281 00:09:45,320 --> 00:09:48,000 But can it really capture that human touch, 282 00:09:48,000 --> 00:09:50,960 the emotional connection that resonates with audiences? 283 00:09:50,960 --> 00:09:52,600 That's the million-dollar question. 284 00:09:52,600 --> 00:09:55,440 It's a question that we'll be grappling with more and more 285 00:09:55,440 --> 00:09:57,480 as AI continues to evolve. 286 00:09:57,480 --> 00:10:00,640 And this Coca-Cola ad, it's really just the tip of the iceberg. 287 00:10:00,640 --> 00:10:01,480 I agree. 288 00:10:01,480 --> 00:10:04,200 We're going to be seeing a lot more AI-generated content 289 00:10:04,200 --> 00:10:05,200 in the future. 290 00:10:05,200 --> 00:10:08,120 And it'll be interesting to see how audiences react 291 00:10:08,120 --> 00:10:11,640 and how the creative industry adapts to this new reality. 292 00:10:11,640 --> 00:10:15,280 It's a fascinating time to be following the evolution of AI. 293 00:10:15,280 --> 00:10:16,000 It is. 294 00:10:16,000 --> 00:10:17,320 It's a brave new world out there. 295 00:10:17,320 --> 00:10:18,360 That it is. 296 00:10:18,360 --> 00:10:19,960 Yeah, it really is a fascinating time 297 00:10:19,960 --> 00:10:21,600 to be following all of this stuff. 298 00:10:21,600 --> 00:10:23,960 And it's going to be interesting to see how audiences 299 00:10:23,960 --> 00:10:26,080 and the creative industry as a whole respond 300 00:10:26,080 --> 00:10:29,000 to all this AI-generated content. 301 00:10:29,000 --> 00:10:29,760 Absolutely. 302 00:10:29,760 --> 00:10:32,760 AI seems to be popping up in the most unexpected places 303 00:10:32,760 --> 00:10:33,720 these days. 304 00:10:33,720 --> 00:10:35,360 And speaking of unexpected places, 305 00:10:35,360 --> 00:10:38,000 it's even making its way into sports broadcasting. 306 00:10:38,000 --> 00:10:38,800 Oh, really? 307 00:10:38,800 --> 00:10:39,300 Yeah. 308 00:10:39,300 --> 00:10:42,160 ESPN is actually experimenting with an AI-generated avatar 309 00:10:42,160 --> 00:10:43,960 called F-C-T-S. 310 00:10:43,960 --> 00:10:46,080 F-A-T-S. That's a pretty clever name. 311 00:10:46,080 --> 00:10:47,080 I know, right? 312 00:10:47,080 --> 00:10:49,480 It kind of plays on the idea of AI 313 00:10:49,480 --> 00:10:52,560 providing those data-driven insights and analysis. 314 00:10:52,560 --> 00:10:53,240 Makes sense. 315 00:10:53,240 --> 00:10:56,800 So it's designed to be an AI sports analyst using 316 00:10:56,800 --> 00:10:58,960 all this information from ESPN Analytics 317 00:10:58,960 --> 00:11:01,480 to offer commentary on college football. 318 00:11:01,480 --> 00:11:01,880 Wow. 319 00:11:01,880 --> 00:11:04,880 So it's like having a virtual commentator powered by AI. 320 00:11:04,880 --> 00:11:05,680 Exactly. 321 00:11:05,680 --> 00:11:08,600 It makes me think of those segments you see on sports shows 322 00:11:08,600 --> 00:11:10,640 where they really dive deep into the stats, 323 00:11:10,640 --> 00:11:16,160 but maybe present it in a way that's a little more digestible 324 00:11:16,160 --> 00:11:17,280 for the average viewer. 325 00:11:17,280 --> 00:11:19,640 Yeah, like making those complex analytics a little more 326 00:11:19,640 --> 00:11:20,200 accessible. 327 00:11:20,200 --> 00:11:21,120 Exactly. 328 00:11:21,120 --> 00:11:23,400 And that seems to be ESPN's goal. 329 00:11:23,400 --> 00:11:25,360 They're emphasizing that ANNIC-TS isn't 330 00:11:25,360 --> 00:11:28,200 meant to replace those human commentators or anything 331 00:11:28,200 --> 00:11:29,040 like that. 332 00:11:29,040 --> 00:11:31,960 It's more about making those complex sports analytics more 333 00:11:31,960 --> 00:11:35,400 accessible and engaging for the average fan. 334 00:11:35,400 --> 00:11:37,480 So it's like a bridge between the data and the viewer. 335 00:11:37,480 --> 00:11:38,400 Exactly. 336 00:11:38,400 --> 00:11:40,080 Sometimes all those stats and algorithms 337 00:11:40,080 --> 00:11:41,800 can be a bit overwhelming if you're not 338 00:11:41,800 --> 00:11:43,360 like a super hardcore fan. 339 00:11:43,360 --> 00:11:44,240 Yeah, for sure. 340 00:11:44,240 --> 00:11:46,040 It can definitely be information overload. 341 00:11:46,040 --> 00:11:46,480 Yeah. 342 00:11:46,480 --> 00:11:48,520 So Van-TS could be a way to kind of break it down 343 00:11:48,520 --> 00:11:50,880 and explain things in a way that's clear 344 00:11:50,880 --> 00:11:52,120 and maybe even entertaining. 345 00:11:52,120 --> 00:11:54,280 Yeah, like a virtual stats guru. 346 00:11:54,280 --> 00:11:55,040 Exactly. 347 00:11:55,040 --> 00:11:57,800 It'll be really interesting to see how audiences react 348 00:11:57,800 --> 00:12:01,400 to having an AI breaking down the game. 349 00:12:01,400 --> 00:12:03,080 That's going to be fascinating to watch. 350 00:12:03,080 --> 00:12:06,120 And the technology behind the FACTS-TS is pretty impressive. 351 00:12:06,120 --> 00:12:10,880 They're using NVIDIA's ACE for creating the avatar Azure Open 352 00:12:10,880 --> 00:12:15,360 AI for the language processing and 11 labs for text to speech. 353 00:12:15,360 --> 00:12:17,960 Wow, so it's like a whole production studio packed 354 00:12:17,960 --> 00:12:20,120 into one virtual commentator. 355 00:12:20,120 --> 00:12:21,160 Right. 356 00:12:21,160 --> 00:12:21,760 It's crazy. 357 00:12:21,760 --> 00:12:24,560 It really highlights how fast all of these technologies 358 00:12:24,560 --> 00:12:25,880 are advancing. 359 00:12:25,880 --> 00:12:29,160 We're now able to create these lifelike avatars that 360 00:12:29,160 --> 00:12:32,640 can interact with the world in increasingly sophisticated 361 00:12:32,640 --> 00:12:33,080 ways. 362 00:12:33,080 --> 00:12:33,920 It's mind blowing. 363 00:12:33,920 --> 00:12:34,720 It really is. 364 00:12:34,720 --> 00:12:37,480 It makes you wonder about the future of sports entertainment. 365 00:12:37,480 --> 00:12:39,240 Could we see AI-generated commentators 366 00:12:39,240 --> 00:12:42,240 for all kinds of sports, maybe even entirely new forms 367 00:12:42,240 --> 00:12:44,480 of sports content created by AI? 368 00:12:44,480 --> 00:12:46,320 It's definitely within the realm of possibility. 369 00:12:46,320 --> 00:12:48,040 The possibilities are pretty much endless. 370 00:12:48,040 --> 00:12:48,800 Yeah. 371 00:12:48,800 --> 00:12:50,520 But like with any powerful technology, 372 00:12:50,520 --> 00:12:52,560 there are also those ethical considerations 373 00:12:52,560 --> 00:12:53,520 that we need to think about. 374 00:12:53,520 --> 00:12:54,120 Oh, absolutely. 375 00:12:54,120 --> 00:12:56,040 We need to think about the potential impact 376 00:12:56,040 --> 00:12:59,160 on journalism and broadcasting. 377 00:12:59,160 --> 00:13:02,560 How do we ensure accuracy and fairness when it's AI that's 378 00:13:02,560 --> 00:13:03,840 generating the content? 379 00:13:03,840 --> 00:13:06,200 How do we maintain trust with viewers? 380 00:13:06,200 --> 00:13:07,920 Those are really important questions, 381 00:13:07,920 --> 00:13:10,800 especially as AI becomes more prevalent in the media 382 00:13:10,800 --> 00:13:11,400 landscape. 383 00:13:11,400 --> 00:13:12,800 Yeah, for sure. 384 00:13:12,800 --> 00:13:17,480 But for now, I'm really eager to see what ESPN does with FACTS. 385 00:13:17,480 --> 00:13:19,320 It's a bold experiment. 386 00:13:19,320 --> 00:13:22,120 It could really change the way we watch and experience sports. 387 00:13:22,120 --> 00:13:24,320 It's a development worth watching closely. 388 00:13:24,320 --> 00:13:27,240 It kind of reflects the broader impact of this whole AI 389 00:13:27,240 --> 00:13:28,960 revolution. 390 00:13:28,960 --> 00:13:30,960 Rapid innovation, pushing boundaries, 391 00:13:30,960 --> 00:13:33,160 and challenging our assumptions about what's possible. 392 00:13:33,160 --> 00:13:33,800 Exactly. 393 00:13:33,800 --> 00:13:36,320 And it raises questions not just about the technology itself, 394 00:13:36,320 --> 00:13:38,600 but about its role in society and its impact 395 00:13:38,600 --> 00:13:39,600 on all of our lives. 396 00:13:39,600 --> 00:13:42,160 It's bigger than just cool gadgets and algorithm. 397 00:13:42,160 --> 00:13:42,360 Right. 398 00:13:42,360 --> 00:13:44,400 It's about understanding how these technologies are 399 00:13:44,400 --> 00:13:46,760 going to shape our world and making sure that we're 400 00:13:46,760 --> 00:13:48,040 using them responsibly. 401 00:13:48,040 --> 00:13:49,840 It really is a lot to consider. 402 00:13:49,840 --> 00:13:51,920 And the thing is, these advancements in AI 403 00:13:51,920 --> 00:13:54,160 are happening so fast, it's really 404 00:13:54,160 --> 00:13:56,320 tough to predict what the future holds. 405 00:13:56,320 --> 00:13:57,400 I know, right? 406 00:13:57,400 --> 00:13:59,320 And it's not even just the technology itself 407 00:13:59,320 --> 00:14:00,600 that's evolving so quickly. 408 00:14:00,600 --> 00:14:04,000 It's like our whole understanding of what AI can even do 409 00:14:04,000 --> 00:14:05,440 is changing. 410 00:14:05,440 --> 00:14:06,960 A few years ago, some of this stuff 411 00:14:06,960 --> 00:14:08,680 would seem like pure science fiction. 412 00:14:08,680 --> 00:14:09,320 Totally. 413 00:14:09,320 --> 00:14:10,440 It would have been unbelievable. 414 00:14:10,440 --> 00:14:13,040 I mean, AI is really pushing those boundaries 415 00:14:13,040 --> 00:14:16,040 of what's possible, making us rethink all these assumptions 416 00:14:16,040 --> 00:14:19,760 we have about creativity, intelligence, even 417 00:14:19,760 --> 00:14:21,440 what it means to work. 418 00:14:21,440 --> 00:14:24,000 It's exciting, but kind of scary at the same time. 419 00:14:24,000 --> 00:14:25,280 It is a little bit daunting. 420 00:14:25,280 --> 00:14:28,400 We need to make sure that all this powerful tech that we're 421 00:14:28,400 --> 00:14:31,720 creating that it's developed and used in a way that actually 422 00:14:31,720 --> 00:14:34,640 benefits everyone, not just a select few. 423 00:14:34,640 --> 00:14:35,120 Absolutely. 424 00:14:35,120 --> 00:14:37,120 It's a shared responsibility, for sure. 425 00:14:37,120 --> 00:14:39,080 It's something that requires collaboration 426 00:14:39,080 --> 00:14:42,440 across different fields, industries, cultures even. 427 00:14:42,440 --> 00:14:44,360 It's a global conversation that we need to be having. 428 00:14:44,360 --> 00:14:47,640 Yeah, it's bigger than any one person or company or even 429 00:14:47,640 --> 00:14:48,720 country. 430 00:14:48,720 --> 00:14:51,680 So as we're wrapping up this deep dive into the world of AI, 431 00:14:51,680 --> 00:14:53,640 what's like the one key takeaway you really 432 00:14:53,640 --> 00:14:55,760 hope listeners will remember? 433 00:14:55,760 --> 00:14:56,720 Hmm. 434 00:14:56,720 --> 00:14:58,280 That's a good question. 435 00:14:58,280 --> 00:15:00,040 I think the most important thing to remember 436 00:15:00,040 --> 00:15:04,160 is that AI isn't this far off concept. 437 00:15:04,160 --> 00:15:06,200 It's not something that's going to happen in the future. 438 00:15:06,200 --> 00:15:06,760 It's here. 439 00:15:06,760 --> 00:15:07,560 It's happening now. 440 00:15:07,560 --> 00:15:10,320 It's already having a huge impact on all of our lives. 441 00:15:10,320 --> 00:15:13,640 So it's up to all of us to engage with these advancements 442 00:15:13,640 --> 00:15:16,360 in a thoughtful way proactively. 443 00:15:16,360 --> 00:15:18,160 We need to shape the future we want to see. 444 00:15:18,160 --> 00:15:18,960 That's a great point. 445 00:15:18,960 --> 00:15:20,880 It's not about being passive observers. 446 00:15:20,880 --> 00:15:23,280 It's about actively participating in shaping 447 00:15:23,280 --> 00:15:25,000 how AI develops and how it's used. 448 00:15:25,000 --> 00:15:25,520 Exactly. 449 00:15:25,520 --> 00:15:26,720 We all have a role to play. 450 00:15:26,720 --> 00:15:28,360 Well said. 451 00:15:28,360 --> 00:15:30,480 Thanks for listening to the Daily AI News podcast, 452 00:15:30,480 --> 00:15:47,040 and stay tuned for more.