1 00:00:00,000 --> 00:00:02,280 Welcome to the Daily AI News podcast. 2 00:00:02,280 --> 00:00:06,120 We're gonna do a deep dive into all things open AI today. 3 00:00:06,120 --> 00:00:07,120 Oh, wow, okay. 4 00:00:07,120 --> 00:00:08,760 Yeah, so they've been making headlines 5 00:00:08,760 --> 00:00:10,100 with faster models, 6 00:00:11,080 --> 00:00:13,520 possible corporate structure shift, 7 00:00:13,520 --> 00:00:17,240 and even whispers of a, like a secret hardware project. 8 00:00:17,240 --> 00:00:18,060 Ah. 9 00:00:18,060 --> 00:00:19,200 Yeah, it's pretty wild. 10 00:00:19,200 --> 00:00:20,120 Then we'll zoom out a little bit 11 00:00:20,120 --> 00:00:23,000 and we'll see how AI is impacting national security, 12 00:00:24,080 --> 00:00:27,400 power grids, the future of work, and even streaming. 13 00:00:27,400 --> 00:00:28,240 Okay. 14 00:00:28,240 --> 00:00:30,480 So let's start with those open AI updates. 15 00:00:30,480 --> 00:00:31,320 Okay. 16 00:00:31,320 --> 00:00:34,720 So they just rolled out this predicted outputs feature 17 00:00:34,720 --> 00:00:37,720 for their GPT-4O and GPT-4O mini models. 18 00:00:37,720 --> 00:00:38,960 Okay. 19 00:00:38,960 --> 00:00:41,880 Now I know the word latency can sound kinda technical, 20 00:00:41,880 --> 00:00:43,040 but basically it just means 21 00:00:43,040 --> 00:00:45,480 how long it takes for the model to respond. 22 00:00:45,480 --> 00:00:47,800 And this is cutting down the time like two to four times. 23 00:00:47,800 --> 00:00:49,560 Wow, that's pretty significant, 24 00:00:49,560 --> 00:00:51,320 especially for tasks where you're working 25 00:00:51,320 --> 00:00:53,480 with a lot of existing text or code. 26 00:00:53,480 --> 00:00:56,760 Like imagine you're editing a huge code file, 27 00:00:56,760 --> 00:00:58,360 thousands of lines long, 28 00:00:58,360 --> 00:01:00,480 with this feature those edits could happen 29 00:01:00,480 --> 00:01:02,560 in seconds instead of minutes. 30 00:01:02,560 --> 00:01:03,760 Yeah, it's wild. 31 00:01:03,760 --> 00:01:06,760 I saw this tweet from factory AI, 32 00:01:06,760 --> 00:01:08,520 which is a software development company, 33 00:01:08,520 --> 00:01:11,800 and they're already seeing these faster response times. 34 00:01:11,800 --> 00:01:12,880 Oh, wow. 35 00:01:12,880 --> 00:01:14,320 Yeah, it's pretty mind blowing. 36 00:01:14,320 --> 00:01:16,600 Yeah, the key here is that the model 37 00:01:16,600 --> 00:01:18,440 doesn't have to generate every single piece 38 00:01:18,440 --> 00:01:19,680 of output from scratch. 39 00:01:19,680 --> 00:01:20,520 Okay. 40 00:01:20,520 --> 00:01:21,920 You know, it uses a reference string 41 00:01:21,920 --> 00:01:25,300 to predict what's likely to come next. 42 00:01:25,300 --> 00:01:27,560 It's kind of like how our brains 43 00:01:27,560 --> 00:01:29,360 anticipate words in a sentence. 44 00:01:29,360 --> 00:01:30,200 Oh, okay. 45 00:01:30,200 --> 00:01:33,360 And this just saves so much processing time. 46 00:01:33,360 --> 00:01:34,200 Oh, interesting. 47 00:01:34,200 --> 00:01:36,280 And results in those super fast responses. 48 00:01:36,280 --> 00:01:38,960 So it's making me wonder how this will impact 49 00:01:38,960 --> 00:01:41,920 like the creative process for developers. 50 00:01:41,920 --> 00:01:44,320 Like could this speed things up so much 51 00:01:44,320 --> 00:01:47,080 that we see a whole wave of new innovations? 52 00:01:47,080 --> 00:01:48,000 Yeah, it's possible. 53 00:01:48,000 --> 00:01:50,360 This speed boost could lower barriers 54 00:01:50,360 --> 00:01:51,520 to entry for developers, 55 00:01:51,520 --> 00:01:54,120 allowing them to experiment and iterate more quickly. 56 00:01:54,120 --> 00:01:54,960 Okay. 57 00:01:54,960 --> 00:01:57,080 And then we see a surge in creativity as a result. 58 00:01:57,080 --> 00:01:58,880 Okay, so continuing with OpenAI. 59 00:01:58,880 --> 00:01:59,720 Yeah. 60 00:01:59,720 --> 00:02:00,560 Get this. 61 00:02:00,560 --> 00:02:01,640 There are reports, they're in talks 62 00:02:01,640 --> 00:02:03,240 to become a for-profit company. 63 00:02:03,240 --> 00:02:07,040 Yeah, this is a huge shift from their nonprofit routes. 64 00:02:07,040 --> 00:02:07,880 Yeah. 65 00:02:07,880 --> 00:02:09,200 And of course, Microsoft is involved. 66 00:02:09,200 --> 00:02:10,040 Verse. 67 00:02:10,040 --> 00:02:13,480 Which could lead to an astronomical valuation 68 00:02:13,480 --> 00:02:14,640 for OpenAI. 69 00:02:14,640 --> 00:02:17,560 Yeah, this potential move to a for-profit model 70 00:02:17,560 --> 00:02:19,600 is generating a lot of buzz. 71 00:02:19,600 --> 00:02:20,440 Right. 72 00:02:20,440 --> 00:02:22,820 With Microsoft's backing and a reported valuation 73 00:02:22,820 --> 00:02:25,440 of up to $157 billion, 74 00:02:25,440 --> 00:02:29,560 OpenAI would become like a major player in the tech world. 75 00:02:29,560 --> 00:02:30,400 Right. 76 00:02:30,400 --> 00:02:33,560 You know, rivaling giants like Google and Apple. 77 00:02:33,560 --> 00:02:34,800 So it's a power move for sure. 78 00:02:34,800 --> 00:02:35,640 Yeah. 79 00:02:35,640 --> 00:02:37,320 But it also raises questions 80 00:02:37,320 --> 00:02:38,880 about their future direction. 81 00:02:38,880 --> 00:02:39,720 Right. 82 00:02:39,720 --> 00:02:41,500 Like will they still prioritize 83 00:02:41,500 --> 00:02:43,160 open source research and development? 84 00:02:43,160 --> 00:02:44,000 Right. 85 00:02:44,000 --> 00:02:46,160 Or will profit become like the driving force 86 00:02:46,160 --> 00:02:47,240 behind their decisions? 87 00:02:47,240 --> 00:02:48,880 That's a key question a lot of people are asking. 88 00:02:48,880 --> 00:02:49,720 Right. 89 00:02:49,720 --> 00:02:51,320 You know, this transition to a for-profit model 90 00:02:51,320 --> 00:02:53,200 could mean a shift in priorities. 91 00:02:53,200 --> 00:02:54,040 Right. 92 00:02:54,040 --> 00:02:55,120 Potentially leading to more focus 93 00:02:55,120 --> 00:02:56,520 on commercial applications 94 00:02:56,520 --> 00:02:58,200 and less on fundamental research. 95 00:02:58,200 --> 00:02:59,040 Right. 96 00:02:59,040 --> 00:03:01,560 And to add another layer of intrigue, 97 00:03:01,560 --> 00:03:05,400 there are rumors about OpenAI working on a secret 98 00:03:05,400 --> 00:03:07,440 hardware project with Joni Ive. 99 00:03:07,440 --> 00:03:09,140 Yeah, who's the legendary designer 100 00:03:09,140 --> 00:03:10,720 behind Apple's most iconic product? 101 00:03:10,720 --> 00:03:11,560 Right. 102 00:03:11,560 --> 00:03:14,240 They've also brought in Caitlin Kalinowski. 103 00:03:14,240 --> 00:03:15,080 Okay. 104 00:03:15,080 --> 00:03:17,560 Met his former head of AR glasses hardware. 105 00:03:17,560 --> 00:03:18,400 Right. 106 00:03:18,400 --> 00:03:19,840 To lead robotics and consumer hardware. 107 00:03:19,840 --> 00:03:21,680 So what are they working on? 108 00:03:21,680 --> 00:03:22,520 I know, right? 109 00:03:22,520 --> 00:03:24,360 The fact that OpenAI is putting together 110 00:03:24,360 --> 00:03:27,160 a team of this caliber, you know, 111 00:03:27,160 --> 00:03:29,040 suggests they have something ambitious in mind. 112 00:03:29,040 --> 00:03:30,040 Right. 113 00:03:30,040 --> 00:03:32,600 Could they be developing their own AI chips? 114 00:03:32,600 --> 00:03:33,440 Okay. 115 00:03:33,440 --> 00:03:36,280 You know, specialized hardware, 116 00:03:36,280 --> 00:03:38,320 optimized for their models. 117 00:03:38,320 --> 00:03:39,160 Okay. 118 00:03:39,160 --> 00:03:43,080 Or even like entirely new types of AI power devices. 119 00:03:43,080 --> 00:03:45,080 The possibilities are pretty mind-boggling. 120 00:03:45,080 --> 00:03:47,280 It seems like OpenAI isn't content 121 00:03:47,280 --> 00:03:49,760 with just developing software. 122 00:03:49,760 --> 00:03:52,480 They want to shape the entire AI ecosystem. 123 00:03:52,480 --> 00:03:53,320 Right. 124 00:03:53,320 --> 00:03:55,000 From algorithms to the physical devices 125 00:03:55,000 --> 00:03:55,840 that interact with them. 126 00:03:55,840 --> 00:03:56,680 Yeah, exactly. 127 00:03:56,680 --> 00:03:58,400 This move into hardware could give them 128 00:03:58,400 --> 00:03:59,960 a big competitive advantage. 129 00:03:59,960 --> 00:04:00,800 Right. 130 00:04:00,800 --> 00:04:02,480 Allowing them to really tightly integrate 131 00:04:02,480 --> 00:04:05,120 their software and hardware for, you know, 132 00:04:05,120 --> 00:04:07,240 optimal performance and user experience. 133 00:04:07,240 --> 00:04:08,680 So shifting focus now, 134 00:04:08,680 --> 00:04:11,040 let's talk about Meta, formally Facebook. 135 00:04:11,040 --> 00:04:15,880 They're making waves by offering their Lama AI models 136 00:04:15,880 --> 00:04:19,040 to US national security agencies. 137 00:04:19,040 --> 00:04:21,600 And this has sparked a lot of debate 138 00:04:21,600 --> 00:04:23,720 about the role of AI in warfare. 139 00:04:23,720 --> 00:04:24,560 Right. 140 00:04:24,560 --> 00:04:26,800 And the potential risks involved. 141 00:04:26,800 --> 00:04:29,200 This move really highlights, you know, 142 00:04:29,200 --> 00:04:32,000 the growing importance of AI in national security. 143 00:04:32,000 --> 00:04:32,840 Right. 144 00:04:32,840 --> 00:04:35,920 Governments all over the world are recognizing AI's potential 145 00:04:35,920 --> 00:04:38,320 to enhance intelligence gathering, decision making, 146 00:04:38,320 --> 00:04:40,040 and even military operations. 147 00:04:40,040 --> 00:04:41,640 Yeah, it's like something out of a sci-fi movie, 148 00:04:41,640 --> 00:04:42,680 but it's happening right now. 149 00:04:42,680 --> 00:04:43,760 Right. 150 00:04:43,760 --> 00:04:45,240 But it also raises, you know, 151 00:04:45,240 --> 00:04:49,920 raises concerns about the potential for misuse, bias, 152 00:04:49,920 --> 00:04:51,240 and the erosion of privacy. 153 00:04:51,240 --> 00:04:52,600 Yeah, those are valid concerns. 154 00:04:52,600 --> 00:04:53,440 Yeah. 155 00:04:53,440 --> 00:04:55,920 As AI systems become more powerful and autonomous, 156 00:04:55,920 --> 00:04:58,680 you know, it's really crucial to have safeguards in place 157 00:04:58,680 --> 00:05:01,760 to ensure that they're used ethically and responsibly, 158 00:05:01,760 --> 00:05:03,800 especially when it comes to national security. 159 00:05:03,800 --> 00:05:08,040 So continuing on this theme of powerful AI and its impact, 160 00:05:09,080 --> 00:05:12,000 have you noticed your electricity bills going up lately? 161 00:05:12,000 --> 00:05:13,000 Yeah, actually. 162 00:05:13,000 --> 00:05:15,760 You might be able to blame AI for at least part 163 00:05:15,760 --> 00:05:16,600 of that increase. 164 00:05:16,600 --> 00:05:17,640 Really? Yeah. 165 00:05:17,640 --> 00:05:19,800 So the massive data centers needed to train 166 00:05:19,800 --> 00:05:22,040 and run these complex AI models. 167 00:05:23,080 --> 00:05:25,080 They're consuming enormous amounts of energy. 168 00:05:25,080 --> 00:05:26,000 Oh, okay. 169 00:05:26,000 --> 00:05:27,880 It's not just the cost to consumers. 170 00:05:27,880 --> 00:05:28,720 Right. 171 00:05:29,880 --> 00:05:32,920 Utilities are struggling to keep up with this surge 172 00:05:32,920 --> 00:05:35,520 and demand, leading to concerns about 173 00:05:36,360 --> 00:05:38,480 like the stability of power grids. 174 00:05:38,480 --> 00:05:39,320 Right. 175 00:05:39,320 --> 00:05:40,440 And the environmental impact 176 00:05:40,440 --> 00:05:41,760 of all this energy consumption. 177 00:05:41,760 --> 00:05:43,840 So this is a growing challenge. 178 00:05:43,840 --> 00:05:45,520 And it's making us, you know, 179 00:05:45,520 --> 00:05:48,040 think about the sustainability of AI development. 180 00:05:48,040 --> 00:05:50,560 Like we need to find ways to, you know, 181 00:05:50,560 --> 00:05:52,640 make AI more energy efficient, 182 00:05:52,640 --> 00:05:56,400 explore renewable energy sources for data centers. 183 00:05:56,400 --> 00:05:59,960 And just consider the broader environmental impact 184 00:05:59,960 --> 00:06:02,560 of, you know, all of our AI ambitions. 185 00:06:02,560 --> 00:06:05,160 It's a reminder that technological advancements 186 00:06:05,160 --> 00:06:06,160 come with costs. 187 00:06:06,160 --> 00:06:07,000 Right. 188 00:06:07,000 --> 00:06:09,800 And we need to carefully weigh those costs 189 00:06:09,800 --> 00:06:11,160 against the potential benefits. 190 00:06:11,160 --> 00:06:12,000 Yeah. 191 00:06:12,000 --> 00:06:14,240 AI might be speeding up our digital lives. 192 00:06:14,240 --> 00:06:15,080 Right. 193 00:06:15,080 --> 00:06:15,920 But it's also putting a strain 194 00:06:15,920 --> 00:06:17,400 on our physical infrastructure. 195 00:06:17,400 --> 00:06:20,880 Yeah, it's a complex issue with no easy solutions. 196 00:06:20,880 --> 00:06:24,520 But it's a conversation we need to have as AI 197 00:06:24,520 --> 00:06:27,240 becomes, you know, more integrated into our lives. 198 00:06:27,240 --> 00:06:31,120 So now let's talk about AI's impact on the world of work. 199 00:06:31,120 --> 00:06:31,960 Okay. 200 00:06:32,880 --> 00:06:35,760 Remember the recent strike by New York Times tech workers? 201 00:06:35,760 --> 00:06:36,600 Yeah. 202 00:06:36,600 --> 00:06:40,800 It sparked a lot of controversy when the CEO of Perplexity, 203 00:06:40,800 --> 00:06:42,800 which is an AI search company, 204 00:06:42,800 --> 00:06:44,760 offered their services to the New York Times 205 00:06:44,760 --> 00:06:47,360 to, you know, potentially help mitigate 206 00:06:47,360 --> 00:06:48,520 the impact of the strike. 207 00:06:48,520 --> 00:06:49,840 Oh, wow. 208 00:06:49,840 --> 00:06:50,680 Yeah. 209 00:06:50,680 --> 00:06:54,200 So many people criticize this as like strike breaking. 210 00:06:54,200 --> 00:06:55,040 Right. 211 00:06:55,040 --> 00:06:59,000 And an attempt to undermine workers' rights. 212 00:06:59,000 --> 00:06:59,840 Yeah. 213 00:06:59,840 --> 00:07:02,400 It raises questions about the ethical implications 214 00:07:02,400 --> 00:07:04,680 of using AI to replace striking workers. 215 00:07:04,680 --> 00:07:05,520 Yeah. 216 00:07:05,520 --> 00:07:08,960 And what this means for the future of labor relations. 217 00:07:08,960 --> 00:07:12,160 This situation shows, you know, how AI has the potential 218 00:07:12,160 --> 00:07:14,880 to disrupt existing power dynamics 219 00:07:14,880 --> 00:07:17,760 between employers and employees. 220 00:07:17,760 --> 00:07:20,280 It's a reminder that we need to be careful 221 00:07:20,280 --> 00:07:23,760 about the societal impact of these technologies. 222 00:07:23,760 --> 00:07:24,600 Right. 223 00:07:24,600 --> 00:07:26,240 And make sure that AI is used in a way 224 00:07:26,240 --> 00:07:29,520 that benefits all of us, not just a select few. 225 00:07:29,520 --> 00:07:31,320 It's a delicate balance. 226 00:07:31,320 --> 00:07:34,880 And it's one that we'll need to navigate 227 00:07:34,880 --> 00:07:37,400 as AI becomes more prevalent in the workplace. 228 00:07:37,400 --> 00:07:38,240 Yeah, absolutely. 229 00:07:38,240 --> 00:07:41,640 We need to find ways to, you know, harness AI 230 00:07:41,640 --> 00:07:45,320 to improve productivity and create new opportunities. 231 00:07:45,320 --> 00:07:46,160 Right. 232 00:07:46,160 --> 00:07:47,720 But also protect workers' rights. 233 00:07:47,720 --> 00:07:48,560 Right. 234 00:07:48,560 --> 00:07:51,520 And ensure that the benefits of AI are shared equally. 235 00:07:51,520 --> 00:07:54,480 So speaking of AI's impact on industries, 236 00:07:54,480 --> 00:07:56,240 let's turn to the world of entertainment. 237 00:07:56,240 --> 00:07:57,200 Okay. 238 00:07:57,200 --> 00:08:01,320 You remember Netflix's foray into video games? 239 00:08:01,320 --> 00:08:02,160 Yeah. 240 00:08:02,160 --> 00:08:03,680 They even set up their own game studio. 241 00:08:03,680 --> 00:08:04,600 They did. 242 00:08:04,600 --> 00:08:07,000 But recently they shut down that studio 243 00:08:07,000 --> 00:08:08,960 and laid off developers. 244 00:08:08,960 --> 00:08:10,160 Oh, wow. 245 00:08:10,160 --> 00:08:11,840 Which was a move that surprised a lot of people. 246 00:08:11,840 --> 00:08:12,680 Yeah. 247 00:08:12,680 --> 00:08:13,520 But what's interesting here is that 248 00:08:13,520 --> 00:08:16,360 they just announced they're doubling down 249 00:08:16,360 --> 00:08:18,400 on AI for game development. 250 00:08:18,400 --> 00:08:19,240 Okay. 251 00:08:19,240 --> 00:08:20,720 So this comes right after they shut down 252 00:08:20,720 --> 00:08:21,760 their own game studio. 253 00:08:21,760 --> 00:08:24,280 Which seems kind of counterintuitive, you know? 254 00:08:24,280 --> 00:08:29,280 But it seems like their logic is that generative AI 255 00:08:29,400 --> 00:08:31,400 can speed up game development. 256 00:08:31,400 --> 00:08:32,240 Oh, okay. 257 00:08:32,240 --> 00:08:35,200 Allowing them to create new and innovative games 258 00:08:35,200 --> 00:08:36,040 more quickly. 259 00:08:36,040 --> 00:08:36,880 Okay. 260 00:08:36,880 --> 00:08:41,880 But this raises concerns about the potential impact 261 00:08:43,240 --> 00:08:45,000 on human game developers. 262 00:08:45,000 --> 00:08:45,840 Yeah. 263 00:08:45,840 --> 00:08:46,680 It's a double-edged sword. 264 00:08:46,680 --> 00:08:47,520 Right. 265 00:08:47,520 --> 00:08:49,960 On one hand, AI could empower developers 266 00:08:49,960 --> 00:08:52,200 to create more immersive and complex games. 267 00:08:52,200 --> 00:08:53,040 Yeah. 268 00:08:53,040 --> 00:08:56,600 But on the other hand, it could lead to job displacement. 269 00:08:56,600 --> 00:08:57,440 Right. 270 00:08:57,440 --> 00:08:59,240 And maybe even stifle human creativity 271 00:08:59,240 --> 00:09:03,360 if AI takes over too much of the development process. 272 00:09:03,360 --> 00:09:05,800 So it's a debate that's playing out 273 00:09:05,800 --> 00:09:07,600 across many creative industries. 274 00:09:07,600 --> 00:09:08,440 Yeah. 275 00:09:08,440 --> 00:09:11,600 Like, will AI become a tool that empowers artists 276 00:09:11,600 --> 00:09:12,440 and creators? 277 00:09:12,440 --> 00:09:13,280 Right. 278 00:09:13,280 --> 00:09:14,600 Or will it ultimately replace them? 279 00:09:14,600 --> 00:09:17,680 Yeah, it's a question we'll be thinking about 280 00:09:17,680 --> 00:09:18,640 for years to come. 281 00:09:18,640 --> 00:09:21,000 And the answers are probably gonna be complex 282 00:09:21,000 --> 00:09:22,600 and different for each industry. 283 00:09:22,600 --> 00:09:23,920 So shifting gears slightly. 284 00:09:23,920 --> 00:09:24,760 Okay. 285 00:09:24,760 --> 00:09:26,840 But staying within the realm of entertainment. 286 00:09:26,840 --> 00:09:27,680 Okay. 287 00:09:27,680 --> 00:09:31,960 Prime Video is embracing AI in a way that could be 288 00:09:31,960 --> 00:09:34,880 like a real game changer for viewers. 289 00:09:34,880 --> 00:09:37,560 They're rolling out a new feature called X-Ray Recaps. 290 00:09:37,560 --> 00:09:38,480 Okay. 291 00:09:38,480 --> 00:09:39,760 Which is powered by AI. 292 00:09:39,760 --> 00:09:40,600 Okay. 293 00:09:40,600 --> 00:09:45,600 And it generates text summaries of shows, episodes, 294 00:09:46,920 --> 00:09:48,040 or even parts of episodes. 295 00:09:48,040 --> 00:09:48,880 Oh, wow. 296 00:09:48,880 --> 00:09:50,840 So this sounds like a great way for viewers 297 00:09:50,840 --> 00:09:52,800 to catch up on missed content. 298 00:09:52,800 --> 00:09:53,640 Right. 299 00:09:53,640 --> 00:09:56,200 Or quickly get up to speed on plot points 300 00:09:56,200 --> 00:09:57,200 they might have forgotten. 301 00:09:57,200 --> 00:09:58,280 Yeah, yeah. 302 00:09:58,280 --> 00:10:00,360 It could be really useful for shows 303 00:10:00,360 --> 00:10:02,040 with complex storylines. 304 00:10:02,040 --> 00:10:02,880 Right. 305 00:10:02,880 --> 00:10:04,600 Or those that release new episodes weekly. 306 00:10:04,600 --> 00:10:05,440 Exactly. 307 00:10:05,440 --> 00:10:08,360 And think about how this could change how we watch TV. 308 00:10:08,360 --> 00:10:09,200 Right. 309 00:10:09,200 --> 00:10:11,840 Instead of having to rewind or rewatch an entire episode, 310 00:10:11,840 --> 00:10:14,160 you know, we could get a quick summary of what we missed. 311 00:10:14,160 --> 00:10:15,000 Right. 312 00:10:15,000 --> 00:10:16,720 Which saves time and frustration. 313 00:10:16,720 --> 00:10:17,640 Yeah, exactly. 314 00:10:17,640 --> 00:10:21,040 It's a great example of how AI can be used 315 00:10:21,040 --> 00:10:23,760 to enhance our entertainment experience. 316 00:10:23,760 --> 00:10:24,600 Right. 317 00:10:24,600 --> 00:10:26,080 Making it more personalized and efficient. 318 00:10:26,080 --> 00:10:26,960 Yeah. 319 00:10:26,960 --> 00:10:29,160 And who knows, maybe AI will even start writing 320 00:10:29,160 --> 00:10:30,560 those recaps for us someday. 321 00:10:30,560 --> 00:10:31,400 That would be something. 322 00:10:31,400 --> 00:10:32,240 Oh. 323 00:10:32,240 --> 00:10:33,080 Okay. 324 00:10:33,080 --> 00:10:33,920 That's a lot of open AI. 325 00:10:33,920 --> 00:10:34,760 All right. 326 00:10:34,760 --> 00:10:36,720 So long-standing information on core AI. 327 00:10:36,720 --> 00:10:37,560 Yeah. 328 00:10:37,560 --> 00:10:39,560 And basically, 329 00:10:40,520 --> 00:10:44,640 how is AI going to have those secrets on commercial media, 330 00:10:44,640 --> 00:10:45,920 on television programs, 331 00:10:45,920 --> 00:10:48,280 if any of these opportunities are yet to be realized? 332 00:10:48,280 --> 00:10:49,120 Yeah. 333 00:10:50,680 --> 00:10:57,240 That's one makeup thing in hands of 334 00:10:57,240 --> 00:11:01,640 us afloat simply because life is somewhere else. 335 00:11:01,640 --> 00:11:02,480 Right. 336 00:11:02,480 --> 00:11:03,320 Exactly. 337 00:11:03,320 --> 00:11:10,280 be developing their own AI chips or hardware platforms specifically optimized for their 338 00:11:10,280 --> 00:11:11,280 models. 339 00:11:11,280 --> 00:11:13,440 Now that you mention it, it makes a lot of sense. 340 00:11:13,440 --> 00:11:18,640 Imagine if they had control over both the hardware and the software powering their AI. 341 00:11:18,640 --> 00:11:20,720 That would be a total game changer. 342 00:11:20,720 --> 00:11:21,720 Exactly. 343 00:11:21,720 --> 00:11:25,480 It would give them a level of vertical integration that we haven't really seen in the AI industry 344 00:11:25,480 --> 00:11:26,480 before. 345 00:11:26,480 --> 00:11:32,240 They could achieve significant performance gains and create a more seamless user experience. 346 00:11:32,240 --> 00:11:37,960 It would be like Apple, but for the AI world, they could control the entire ecosystem. 347 00:11:37,960 --> 00:11:38,960 Exactly. 348 00:11:38,960 --> 00:11:43,400 And with their massive funding and Microsoft's backing, it's a real possibility. 349 00:11:43,400 --> 00:11:46,240 Okay, that's a lot to think about. 350 00:11:46,240 --> 00:11:47,360 Let's shift gears for a second. 351 00:11:47,360 --> 00:11:50,520 Talk about something a little closer to home. 352 00:11:50,520 --> 00:11:52,320 Rising electricity bills. 353 00:11:52,320 --> 00:11:56,520 Ah, yes, the hidden cost of AI advancement. 354 00:11:56,520 --> 00:12:01,480 We talked about how data centers are straining power grids, but let's get into some specifics. 355 00:12:01,480 --> 00:12:06,720 Yeah, because it's one thing to talk about data centers in the abstract. 356 00:12:06,720 --> 00:12:10,240 But it's another thing entirely when you see it like impacting your own wallet. 357 00:12:10,240 --> 00:12:11,240 Right. 358 00:12:11,240 --> 00:12:16,480 Like in Oregon, for example, both electric utilities and residents are raising concerns 359 00:12:16,480 --> 00:12:20,720 about the impact of data centers on electricity rates. 360 00:12:20,720 --> 00:12:26,080 Utilities are warning regulators that they need to protect customers from rising costs. 361 00:12:26,080 --> 00:12:29,480 And residents are starting to feel the pinch in their monthly bills. 362 00:12:29,480 --> 00:12:31,000 And it's not just Oregon. 363 00:12:31,000 --> 00:12:37,880 Virginia, a state that has actively courted data center development, is now facing a projected 364 00:12:37,880 --> 00:12:41,080 50% increase in power demand by 2030. 365 00:12:41,080 --> 00:12:42,080 Wow. 366 00:12:42,080 --> 00:12:43,880 Largely due to these data centers. 367 00:12:43,880 --> 00:12:44,880 That's a huge increase. 368 00:12:44,880 --> 00:12:47,560 And it's already having some serious consequences. 369 00:12:47,560 --> 00:12:52,040 The Virginia State Corporation Commission, which regulates utilities, has issued a warning 370 00:12:52,040 --> 00:12:57,400 about the risks that data centers pose to both electric utilities and their customers. 371 00:12:57,400 --> 00:13:00,280 So what does this mean for everyday people? 372 00:13:00,280 --> 00:13:04,000 Are we just going to see our electricity bills skyrocket in the coming years? 373 00:13:04,000 --> 00:13:05,240 Well, that's a real possibility. 374 00:13:05,240 --> 00:13:11,240 In fact, Virginia's biggest utility, Dominion Energy, is projecting that residential electricity 375 00:13:11,240 --> 00:13:17,400 prices will grow at three times the rate they did over the past 16 years. 376 00:13:17,400 --> 00:13:18,400 Yikes. 377 00:13:18,400 --> 00:13:21,680 But it sounds like some companies are starting to push back against this trend. 378 00:13:21,680 --> 00:13:22,680 Yes. 379 00:13:22,680 --> 00:13:23,680 There are some encouraging signs. 380 00:13:23,680 --> 00:13:28,000 For instance, in South Carolina, there's growing opposition to these discounted rates 381 00:13:28,000 --> 00:13:32,600 that power companies offer to attract tech giants like Google. 382 00:13:32,600 --> 00:13:34,160 I've heard about that. 383 00:13:34,160 --> 00:13:39,600 The argument is that these discounts are unfair to small businesses and residential customers 384 00:13:39,600 --> 00:13:42,280 who end up subsidizing these huge corporations. 385 00:13:42,280 --> 00:13:43,280 Exactly. 386 00:13:43,280 --> 00:13:48,400 And the South Carolina Small Business Chamber of Commerce is leading this charge. 387 00:13:48,400 --> 00:13:54,560 Arguing that these discounts are creating an uneven playing field and putting small businesses 388 00:13:54,560 --> 00:13:55,600 at a disadvantage. 389 00:13:55,600 --> 00:13:57,020 It makes sense. 390 00:13:57,020 --> 00:14:00,560 Small businesses are already struggling with rising costs. 391 00:14:00,560 --> 00:14:04,240 Why should they have to pay more so these big tech companies can pay less? 392 00:14:04,240 --> 00:14:05,240 Right. 393 00:14:05,240 --> 00:14:09,680 It's a question of fairness and economic sustainability. 394 00:14:09,680 --> 00:14:14,680 We need to make sure that the growth of the AI industry doesn't hurt small businesses and 395 00:14:14,680 --> 00:14:16,600 everyday consumers. 396 00:14:16,600 --> 00:14:18,440 So what can be done to address this? 397 00:14:18,440 --> 00:14:21,040 Are we just stuck with rising electricity bills? 398 00:14:21,040 --> 00:14:22,040 Well, not necessarily. 399 00:14:22,040 --> 00:14:24,320 There are a few things that could help. 400 00:14:24,320 --> 00:14:29,640 But regulators need to take a closer look at these discounted rates and make sure that 401 00:14:29,640 --> 00:14:32,360 they're not unfairly burdening other customers. 402 00:14:32,360 --> 00:14:33,360 Right. 403 00:14:33,360 --> 00:14:36,120 It can't just be a free-for-all where big tech gets all the perks. 404 00:14:36,120 --> 00:14:41,200 And we need to invest in modernizing our power grids to handle this increased demand from 405 00:14:41,200 --> 00:14:42,200 data centers. 406 00:14:42,200 --> 00:14:43,200 Okay. 407 00:14:43,200 --> 00:14:45,240 This is going to require a big investment. 408 00:14:45,240 --> 00:14:46,240 Right. 409 00:14:46,240 --> 00:14:51,240 But it's essential to ensure reliable and affordable electricity for everyone. 410 00:14:51,240 --> 00:14:54,680 It sounds like this is about more than just electricity bills. 411 00:14:54,680 --> 00:15:00,960 It's about the balance of power between tech giants, utilities, and everyday consumers. 412 00:15:00,960 --> 00:15:02,120 That's a great way to put it. 413 00:15:02,120 --> 00:15:06,480 It's a complex issue, but it's a conversation we need to have as AI continues to grow. 414 00:15:06,480 --> 00:15:10,560 Now let's go back to the world of work and the impact of AI on jobs. 415 00:15:10,560 --> 00:15:15,200 We talked about that controversy surrounding perplexity's offer to help the New York Times 416 00:15:15,200 --> 00:15:16,960 during the tech workers' strike. 417 00:15:16,960 --> 00:15:17,960 Right. 418 00:15:17,960 --> 00:15:22,080 The incident really highlighted the anxieties that a lot of people have about AI taking 419 00:15:22,080 --> 00:15:23,080 over jobs. 420 00:15:23,080 --> 00:15:27,040 But this issue is much bigger than just one incident. 421 00:15:27,040 --> 00:15:33,920 The potential for AI to automate tasks and displace workers is a growing concern across 422 00:15:33,920 --> 00:15:35,480 many industries. 423 00:15:35,480 --> 00:15:38,080 It's not just about tech workers either. 424 00:15:38,080 --> 00:15:43,960 We're seeing AI being used in everything, from customer service to healthcare to manufacturing. 425 00:15:43,960 --> 00:15:49,280 And while AI can bring benefits in terms of efficiency and productivity, it's important 426 00:15:49,280 --> 00:15:51,600 to think about the potential consequences for workers. 427 00:15:51,600 --> 00:15:52,600 Exactly. 428 00:15:52,600 --> 00:15:57,360 We need to make sure that AI is implemented in a way that benefits society as a whole, 429 00:15:57,360 --> 00:15:58,840 not just to select few. 430 00:15:58,840 --> 00:16:01,720 That's where ethical considerations become so important. 431 00:16:01,720 --> 00:16:07,200 We need to prioritize job training and reskilling programs to help workers adapt to the changing 432 00:16:07,200 --> 00:16:08,680 demands of the labor market. 433 00:16:08,680 --> 00:16:13,920 We also need to have open and honest conversations about the potential impact of AI on jobs. 434 00:16:13,920 --> 00:16:16,640 We can't just ignore it and hope for the best. 435 00:16:16,640 --> 00:16:17,640 Absolutely. 436 00:16:17,640 --> 00:16:21,600 This is a conversation that needs to involve policy makers, business leaders, workers, and 437 00:16:21,600 --> 00:16:22,600 ethicists. 438 00:16:22,600 --> 00:16:23,600 Right. 439 00:16:23,600 --> 00:16:27,680 We need to find a way to harness AI's power while also protecting workers' rights and 440 00:16:27,680 --> 00:16:28,680 well-being. 441 00:16:28,680 --> 00:16:32,040 It's a tough challenge, but it's a challenge we have to face head on. 442 00:16:32,040 --> 00:16:33,520 I agree completely. 443 00:16:33,520 --> 00:16:37,200 And it's a challenge that requires a collaborative effort from everyone. 444 00:16:37,200 --> 00:16:41,720 We need to work together to create a future where AI benefits everyone. 445 00:16:41,720 --> 00:16:46,480 Now before we wrap up this part of our deep dive, let's take a look at how AI is being 446 00:16:46,480 --> 00:16:47,480 used in entertainment. 447 00:16:47,480 --> 00:16:52,280 We already mentioned Prime Video's X-Ray Recaps, but there are other exciting developments 448 00:16:52,280 --> 00:16:53,880 happening in this space as well. 449 00:16:53,880 --> 00:16:58,320 One area that's particularly interesting is the use of AI in video game development. 450 00:16:58,320 --> 00:16:59,320 Yes. 451 00:16:59,320 --> 00:17:05,640 We talked about Netflix's decision to go all in on AI for game development after shutting 452 00:17:05,640 --> 00:17:07,400 down their own game studio. 453 00:17:07,400 --> 00:17:11,680 It seems like they're betting big on AI to revolutionize the gaming industry. 454 00:17:11,680 --> 00:17:12,680 That's right. 455 00:17:12,680 --> 00:17:13,680 And they're not alone. 456 00:17:13,680 --> 00:17:17,600 A lot of game developers are experimenting with AI to create more immersive and engaging 457 00:17:17,600 --> 00:17:19,680 gaming experiences. 458 00:17:19,680 --> 00:17:25,840 We're already seeing AI being used to generate 3D models, concept art, and even in-game dialogue. 459 00:17:25,840 --> 00:17:30,480 Some developers are even experimenting with AI-powered game engines. 460 00:17:30,480 --> 00:17:33,040 That can generate entire game worlds on the fly. 461 00:17:33,040 --> 00:17:35,560 It's crazy to think about the possibilities. 462 00:17:35,560 --> 00:17:36,640 It really is. 463 00:17:36,640 --> 00:17:41,200 But it also brings up some important questions about the future of game development. 464 00:17:41,200 --> 00:17:45,000 Will AI ultimately replace human game developers? 465 00:17:45,000 --> 00:17:48,600 That's a big question, and one that's generating a lot of debate in the gaming community. 466 00:17:48,600 --> 00:17:54,960 Some people argue that AI will just help human creativity, allowing developers to focus on 467 00:17:54,960 --> 00:17:56,960 higher-level tasks. 468 00:17:56,960 --> 00:18:04,560 Others worry that AI could lead to a homogenization of games with less room for human artistry 469 00:18:04,560 --> 00:18:05,560 and innovation. 470 00:18:05,560 --> 00:18:09,600 It's a complex issue with no easy answers. 471 00:18:09,600 --> 00:18:13,200 But it's clear that AI is going to be a major part of the future of gaming. 472 00:18:13,200 --> 00:18:14,200 Absolutely. 473 00:18:14,200 --> 00:18:15,600 And it's not just about video games. 474 00:18:15,600 --> 00:18:16,600 Right. 475 00:18:16,600 --> 00:18:21,840 AI is being used to personalize music recommendations, create custom playlists, and even generate 476 00:18:21,840 --> 00:18:22,840 original music. 477 00:18:22,840 --> 00:18:25,760 It's like having a personal AI DJ at your fingertips. 478 00:18:25,760 --> 00:18:29,920 It makes you wonder what other ways AI will change how we experience entertainment in 479 00:18:29,920 --> 00:18:30,920 the future. 480 00:18:30,920 --> 00:18:33,560 It's an exciting time to be an entertainment consumer. 481 00:18:33,560 --> 00:18:35,920 With AI, the possibilities seem endless. 482 00:18:35,920 --> 00:18:41,040 Well, we've covered a lot in this part of our deep dive, from open AI's potential moves 483 00:18:41,040 --> 00:18:48,600 to the challenges of AI's energy consumption and the changing landscape of work and entertainment. 484 00:18:48,600 --> 00:18:51,360 It's clear that AI is changing the world fast. 485 00:18:51,360 --> 00:18:53,920 And it's only going to get more interesting from here. 486 00:18:53,920 --> 00:18:55,800 Welcome back to the Daily AI News Podcast. 487 00:18:55,800 --> 00:19:02,200 It's been quite a journey exploring the world of AI from the speedboots of open AI's new 488 00:19:02,200 --> 00:19:05,800 features to the potential shakeup of their corporate structure. 489 00:19:05,800 --> 00:19:07,200 Yeah, it really has. 490 00:19:07,200 --> 00:19:08,200 We've covered a lot. 491 00:19:08,200 --> 00:19:09,200 We have. 492 00:19:09,200 --> 00:19:15,040 We've also delved into some pretty complex issues, like the impact of AI on energy consumption, 493 00:19:15,040 --> 00:19:20,760 the potential for job displacement, and the ethics of using AI in national security. 494 00:19:20,760 --> 00:19:21,760 Right. 495 00:19:21,760 --> 00:19:25,280 It's a lot to process, but it's important to stay informed about these advancements 496 00:19:25,280 --> 00:19:30,200 and their implications because AI is no longer just a futuristic concept. 497 00:19:30,200 --> 00:19:33,920 It's here and now, and it's changing our world in really big ways. 498 00:19:33,920 --> 00:19:39,280 I think one of the key takeaways from our deep dive is that AI isn't just a technology. 499 00:19:39,280 --> 00:19:43,640 It's a catalyst for societal transformation. 500 00:19:43,640 --> 00:19:48,880 And it's a transformation that requires our active participation and critical thinking. 501 00:19:48,880 --> 00:19:51,400 We can't just sit back and watch. 502 00:19:51,400 --> 00:19:56,480 We need to be part of these conversations, ask tough questions, and demand that AI is 503 00:19:56,480 --> 00:19:59,120 developed and used ethically and responsibly. 504 00:19:59,120 --> 00:20:00,120 Absolutely. 505 00:20:00,120 --> 00:20:03,160 We have a responsibility to shape the future of AI. 506 00:20:03,160 --> 00:20:06,600 And that starts with being informed and engaged. 507 00:20:06,600 --> 00:20:09,560 So what stands out to you from everything we've discussed? 508 00:20:09,560 --> 00:20:12,320 What's going to stick with you after this deep dive is over? 509 00:20:12,320 --> 00:20:18,320 For me, it's the interconnectedness of it all, how advancements in AI are rippling 510 00:20:18,320 --> 00:20:23,280 outwards, affecting everything from the way we work to how we entertain ourselves and 511 00:20:23,280 --> 00:20:25,280 even the infrastructure that powers our lives. 512 00:20:25,280 --> 00:20:26,280 Right. 513 00:20:26,280 --> 00:20:27,280 It's like a chain reaction. 514 00:20:27,280 --> 00:20:28,280 One breakthrough leads to another. 515 00:20:28,280 --> 00:20:29,280 Exactly. 516 00:20:29,280 --> 00:20:32,880 And the consequences are both exciting and a little bit daunting. 517 00:20:32,880 --> 00:20:33,880 Yeah. 518 00:20:33,880 --> 00:20:37,160 And it really highlights the need for a holistic approach to AI development. 519 00:20:37,160 --> 00:20:38,160 Okay. 520 00:20:38,160 --> 00:20:43,960 One that considers not just the technological advancements, but also the societal, economic, 521 00:20:43,960 --> 00:20:45,840 and ethical implications. 522 00:20:45,840 --> 00:20:47,720 So we need to think about the big picture. 523 00:20:47,720 --> 00:20:48,720 Right. 524 00:20:48,720 --> 00:20:52,840 And make sure that AI is used for good and that its benefits are shared by everyone. 525 00:20:52,840 --> 00:20:53,960 It's a challenging task. 526 00:20:53,960 --> 00:20:54,960 Right. 527 00:20:54,960 --> 00:20:56,240 But it's one that we have to take on. 528 00:20:56,240 --> 00:21:00,400 To our listeners out there, I urge you to keep digging, keep learning, and keep the 529 00:21:00,400 --> 00:21:01,680 conversation going. 530 00:21:01,680 --> 00:21:04,400 The future of AI is being shaped right now. 531 00:21:04,400 --> 00:21:08,080 And it's up to all of us to make sure it's a future we can all be proud of. 532 00:21:08,080 --> 00:21:11,040 Thanks for listening to the Daily AI News Podcast. 533 00:21:11,040 --> 00:21:12,440 And stay tuned for more. 534 00:21:12,440 --> 00:21:17,080 We'll be back soon with another deep dive into the fascinating world of AI. 535 00:21:17,080 --> 00:21:21,280 Until then, keep exploring, keep questioning, and keep pushing the boundaries of what's 536 00:21:21,280 --> 00:21:34,440 possible because the future is ours to create.