1 00:00:00,000 --> 00:00:02,440 Welcome to the Daily AI News Podcast. 2 00:00:02,440 --> 00:00:04,280 We're diving deep into AI today. 3 00:00:04,280 --> 00:00:05,760 Everything from shopping agents 4 00:00:05,760 --> 00:00:07,720 to some semiconductor surprises 5 00:00:07,720 --> 00:00:10,840 and a pretty big development in photonic processing. 6 00:00:10,840 --> 00:00:11,760 It's a lot to cover. 7 00:00:11,760 --> 00:00:12,600 It is. 8 00:00:12,600 --> 00:00:14,800 It's really an exciting time to be in AI. 9 00:00:14,800 --> 00:00:18,120 So many things happening, breakthroughs, surprises, 10 00:00:18,120 --> 00:00:20,360 and really impacting so many industries. 11 00:00:20,360 --> 00:00:21,200 Yeah. 12 00:00:21,200 --> 00:00:23,000 So let's unpack all of this, 13 00:00:23,000 --> 00:00:24,600 starting with, I guess, the race 14 00:00:24,600 --> 00:00:26,920 to create these AI shopping agents. 15 00:00:26,920 --> 00:00:28,720 And what's so fascinating about these 16 00:00:28,720 --> 00:00:30,720 is that this could completely change 17 00:00:30,720 --> 00:00:32,000 the way we shop online. 18 00:00:32,000 --> 00:00:34,800 I mean, imagine, instead of us browsing the web 19 00:00:34,800 --> 00:00:38,440 and comparing prices, we've got AI that's doing it for us. 20 00:00:38,440 --> 00:00:42,280 Find me a Beth Deals and handling the entire checkout process. 21 00:00:42,280 --> 00:00:44,120 Well, that's what Proplexity is trying to do. 22 00:00:44,120 --> 00:00:47,840 They actually just launched an AI shopping agent, 23 00:00:47,840 --> 00:00:50,760 specifically for their paying customers in the US. 24 00:00:50,760 --> 00:00:52,200 And what's amazing is their agent 25 00:00:52,200 --> 00:00:54,840 can actually navigate websites, find the products, 26 00:00:54,840 --> 00:00:57,080 look at prices, and even complete the purchase. 27 00:00:57,080 --> 00:00:58,200 That's wild. 28 00:00:58,200 --> 00:00:59,840 So TechCrunch actually tested it out. 29 00:00:59,840 --> 00:01:02,400 They had it by toothpaste, which is interesting. 30 00:01:02,400 --> 00:01:04,080 And the way it works is the agent 31 00:01:04,080 --> 00:01:07,920 kind of scrapes retail websites looking for the best deal. 32 00:01:07,920 --> 00:01:09,760 And then the checkout, get this, the checkout 33 00:01:09,760 --> 00:01:12,200 happens right within the Proplexity app. 34 00:01:12,200 --> 00:01:15,000 So you don't actually pay the retailer directly. 35 00:01:15,000 --> 00:01:16,800 You pay Proplexity. 36 00:01:16,800 --> 00:01:18,720 And then they use that money to buy the item 37 00:01:18,720 --> 00:01:21,240 from the retailer on your behalf. 38 00:01:21,240 --> 00:01:25,080 It's a really unique approach, you know? 39 00:01:25,080 --> 00:01:27,360 But it raises some questions about who really 40 00:01:27,360 --> 00:01:30,640 controls that purchase and how are retailers 41 00:01:30,640 --> 00:01:32,560 going to react when they're essentially 42 00:01:32,560 --> 00:01:33,720 being cut out of the loop. 43 00:01:33,720 --> 00:01:34,560 Exactly. 44 00:01:34,560 --> 00:01:35,600 And this is still early, right? 45 00:01:35,600 --> 00:01:36,600 It's early technology. 46 00:01:36,600 --> 00:01:39,360 So naturally, there's going to be some bumps in the road. 47 00:01:39,360 --> 00:01:40,840 In fact, the TechCrunch test actually 48 00:01:40,840 --> 00:01:44,040 failed the first time because the toothpaste was sold out. 49 00:01:44,040 --> 00:01:44,680 Oh, wow. 50 00:01:44,680 --> 00:01:45,480 That's interesting. 51 00:01:45,480 --> 00:01:48,440 That really highlights the complexities 52 00:01:48,440 --> 00:01:49,960 that these shopping agents face. 53 00:01:49,960 --> 00:01:54,040 I mean, navigating websites, dealing without a stock items, 54 00:01:54,040 --> 00:01:55,720 and ensuring the whole process is secure. 55 00:01:55,720 --> 00:01:57,200 That's a lot to manage. 56 00:01:57,200 --> 00:01:57,920 For sure. 57 00:01:57,920 --> 00:02:00,000 And I wonder about the impact this 58 00:02:00,000 --> 00:02:03,560 will have on traditional retailers and advertisers, right? 59 00:02:03,560 --> 00:02:08,920 I mean, if these AI agents become the go-to way to shop, 60 00:02:08,920 --> 00:02:11,640 then what happens to their business models, which 61 00:02:11,640 --> 00:02:14,280 rely heavily on storefronts and targeted ads? 62 00:02:14,280 --> 00:02:14,960 Oh, absolutely. 63 00:02:14,960 --> 00:02:19,800 This could be a major disruption and probably will 64 00:02:19,800 --> 00:02:22,720 lead to pushback as these industries try to adapt. 65 00:02:22,720 --> 00:02:24,360 It'll be interesting to see what happens. 66 00:02:24,360 --> 00:02:24,880 Definitely. 67 00:02:24,880 --> 00:02:26,760 And it looks like Proplexity is not alone in this, 68 00:02:26,760 --> 00:02:28,600 you know, race to build these agents. 69 00:02:28,600 --> 00:02:31,400 Other companies like Rabbit and Anthropic, 70 00:02:31,400 --> 00:02:34,160 they're trying different things to build their own versions 71 00:02:34,160 --> 00:02:35,600 of AI shopping agents. 72 00:02:35,600 --> 00:02:36,200 That's right. 73 00:02:36,200 --> 00:02:38,720 And what's interesting is they're actually training their AI 74 00:02:38,720 --> 00:02:42,120 agents to mimic human behavior on websites, 75 00:02:42,120 --> 00:02:45,480 to try to avoid detection and basically get around those 76 00:02:45,480 --> 00:02:47,840 barriers retailers put up to block bots. 77 00:02:47,840 --> 00:02:48,840 Right. 78 00:02:48,840 --> 00:02:50,160 It's like an AI arms race. 79 00:02:50,160 --> 00:02:50,720 It's fascinating. 80 00:02:50,720 --> 00:02:52,680 One side is trying to outsmart the other. 81 00:02:52,680 --> 00:02:54,800 It really makes you think about where 82 00:02:54,800 --> 00:02:57,800 the line blurs between actual human interaction 83 00:02:57,800 --> 00:02:59,800 online and AI, right? 84 00:02:59,800 --> 00:03:02,240 Especially since these agents are even getting better 85 00:03:02,240 --> 00:03:05,320 at solving those TAMPY TCHAs, which are designed 86 00:03:05,320 --> 00:03:07,480 to tell humans apart from bots. 87 00:03:07,480 --> 00:03:08,320 Yeah. 88 00:03:08,320 --> 00:03:09,760 TAMPY TCHAs are interesting. 89 00:03:09,760 --> 00:03:12,720 I mean, what happens when AI gets better at proving 90 00:03:12,720 --> 00:03:14,400 it's human than humans are? 91 00:03:14,400 --> 00:03:15,400 You know, websites are going to have 92 00:03:15,400 --> 00:03:17,720 to come up with even more sophisticated ways 93 00:03:17,720 --> 00:03:20,440 to check for personhood. 94 00:03:20,440 --> 00:03:21,480 That's a great point. 95 00:03:21,480 --> 00:03:23,000 And let's not forget about privacy, right? 96 00:03:23,000 --> 00:03:25,040 So, they've got a lot of complexity. 97 00:03:25,040 --> 00:03:26,840 They've mentioned that they use human checkers 98 00:03:26,840 --> 00:03:30,040 to sort of oversee what the AI agent is doing, 99 00:03:30,040 --> 00:03:31,720 which means someone is actually seeing 100 00:03:31,720 --> 00:03:33,880 your purchase information, your billing address, 101 00:03:33,880 --> 00:03:34,480 and all that. 102 00:03:34,480 --> 00:03:35,280 That's right. 103 00:03:35,280 --> 00:03:37,720 And they don't really explain much 104 00:03:37,720 --> 00:03:39,120 about these human checkers. 105 00:03:39,120 --> 00:03:40,400 Who are they? 106 00:03:40,400 --> 00:03:42,080 What kind of access do they have? 107 00:03:42,080 --> 00:03:43,520 Those are pretty valid concerns. 108 00:03:43,520 --> 00:03:46,080 I think as these AI agents get more integrated 109 00:03:46,080 --> 00:03:48,360 into our lives, these privacy questions 110 00:03:48,360 --> 00:03:49,960 are going to become even more important. 111 00:03:49,960 --> 00:03:50,720 Right. 112 00:03:50,720 --> 00:03:52,120 OK, let's switch gears now. 113 00:03:52,120 --> 00:03:53,920 You know, the semiconductor industries, 114 00:03:53,920 --> 00:03:57,520 seeing some big shakeups, Intel's CEO stepping down 115 00:03:57,520 --> 00:04:00,000 after the company, you know, kind of struggled 116 00:04:00,000 --> 00:04:01,920 to keep up with this whole AI boom. 117 00:04:01,920 --> 00:04:03,000 That was a big one. 118 00:04:03,000 --> 00:04:03,520 It was. 119 00:04:03,520 --> 00:04:05,640 I mean, you know, Intel has been such a powerhouse 120 00:04:05,640 --> 00:04:07,520 in the chip market for years. 121 00:04:07,520 --> 00:04:09,920 But maybe, you know, their focus on CPUs 122 00:04:09,920 --> 00:04:11,720 put them at a disadvantage. 123 00:04:11,720 --> 00:04:14,800 Because AI, it really relies more on GPUs, which 124 00:04:14,800 --> 00:04:16,000 are what NVIDIA makes. 125 00:04:16,000 --> 00:04:18,560 And those are better suited for the kind of complex 126 00:04:18,560 --> 00:04:20,760 computations that AI needs. 127 00:04:20,760 --> 00:04:21,680 That makes sense. 128 00:04:21,680 --> 00:04:23,840 And keeping with this whole semiconductor theme, 129 00:04:23,840 --> 00:04:26,840 the US has expanded these export controls, you know, 130 00:04:26,840 --> 00:04:28,240 on Chinese tech companies. 131 00:04:28,240 --> 00:04:29,840 A lot of them make chip making equipment. 132 00:04:29,840 --> 00:04:31,000 It's a big deal. 133 00:04:31,000 --> 00:04:33,600 Because it really reflects how important AI 134 00:04:33,600 --> 00:04:35,040 and all these related technologies 135 00:04:35,040 --> 00:04:37,440 are becoming, you know, geopolitically. 136 00:04:37,440 --> 00:04:40,200 The US is basically trying to limit China's access 137 00:04:40,200 --> 00:04:42,720 to advanced tech because they're concerned it could be used 138 00:04:42,720 --> 00:04:44,040 in ways they don't agree with. 139 00:04:44,040 --> 00:04:45,360 And this isn't just political, right? 140 00:04:45,360 --> 00:04:47,480 It's having a real economic impact, too. 141 00:04:47,480 --> 00:04:51,600 We've seen, like, Japanese chip makers share prices go up, 142 00:04:51,600 --> 00:04:53,880 because they could benefit from these restrictions. 143 00:04:53,880 --> 00:04:56,040 And then on the other side, Chinese companies 144 00:04:56,040 --> 00:04:58,040 are facing, you know, limitations. 145 00:04:58,040 --> 00:04:59,520 And their share prices are going down. 146 00:04:59,520 --> 00:05:01,280 It's a high stakes game for sure. 147 00:05:01,280 --> 00:05:03,080 AI is not just changing technology. 148 00:05:03,080 --> 00:05:05,600 It's reshaping global politics, too. 149 00:05:05,600 --> 00:05:09,520 It's incredible to see how far reaching AI's influence is. 150 00:05:09,520 --> 00:05:11,640 OK, let's shift focus now and look 151 00:05:11,640 --> 00:05:15,520 at what's happening closer to home, specifically in the US. 152 00:05:15,520 --> 00:05:18,000 Lawmakers in the House of Representatives 153 00:05:18,000 --> 00:05:20,800 are proposing these studies on how AI will affect 154 00:05:20,800 --> 00:05:22,320 financial services and housing. 155 00:05:22,320 --> 00:05:23,120 This is interesting. 156 00:05:23,120 --> 00:05:25,680 It's good to see them being proactive, you know, 157 00:05:25,680 --> 00:05:28,080 trying to get ahead of any potential problems 158 00:05:28,080 --> 00:05:29,840 instead of reacting to them later. 159 00:05:29,840 --> 00:05:32,560 And these studies, they're going to involve some key players, 160 00:05:32,560 --> 00:05:35,160 like the Federal Reserve and the FDIC. 161 00:05:35,160 --> 00:05:35,680 That's great. 162 00:05:35,680 --> 00:05:37,920 But what exactly are they going to be looking into? 163 00:05:37,920 --> 00:05:41,400 Well, they'll be looking at how banks are using AI for things 164 00:05:41,400 --> 00:05:44,240 like fraud detection and preventing money laundering. 165 00:05:44,240 --> 00:05:45,520 They're also going to look at, you know, 166 00:05:45,520 --> 00:05:48,440 whether our current privacy laws are enough for this, 167 00:05:48,440 --> 00:05:50,160 you know, AI-driven world. 168 00:05:50,160 --> 00:05:51,200 That's crucial, right? 169 00:05:51,200 --> 00:05:53,840 Because as AI gets more embedded to these industries, 170 00:05:53,840 --> 00:05:56,000 we need to make sure it's not going to hurt consumers 171 00:05:56,000 --> 00:05:57,880 or the market overall. 172 00:05:57,880 --> 00:06:02,640 OK, now for a really exciting development in AI hardware. 173 00:06:02,640 --> 00:06:05,120 Scientists have created this photonic processor 174 00:06:05,120 --> 00:06:09,160 that could make AI computations ridiculously fast 175 00:06:09,160 --> 00:06:10,720 and energy efficient, too. 176 00:06:10,720 --> 00:06:12,400 This is huge, because, you know, 177 00:06:12,400 --> 00:06:14,760 traditional computer hardware, while powerful, 178 00:06:14,760 --> 00:06:17,800 it just can't handle the really complex computations needed 179 00:06:17,800 --> 00:06:19,480 for advanced AI. 180 00:06:19,480 --> 00:06:21,480 Photonic hardware, though, it uses light, 181 00:06:21,480 --> 00:06:23,880 which makes it way faster and more efficient. 182 00:06:23,880 --> 00:06:26,600 And this new photonic chip, it's impressive. 183 00:06:26,600 --> 00:06:28,600 It can perform all the key computations 184 00:06:28,600 --> 00:06:31,240 for a deep neural network, right on the chip. 185 00:06:31,240 --> 00:06:33,120 Before, they needed off-chip electronics, 186 00:06:33,120 --> 00:06:35,560 which slowed things down, but not anymore. 187 00:06:35,560 --> 00:06:37,520 Can you explain what a deep neural network is 188 00:06:37,520 --> 00:06:39,120 and why this is such a big deal? 189 00:06:39,120 --> 00:06:41,000 Sure, so a deep neural network, 190 00:06:41,000 --> 00:06:44,000 it's basically an AI model, kind of like the human brain. 191 00:06:44,000 --> 00:06:46,240 It has these layers of interconnected nodes 192 00:06:46,240 --> 00:06:48,960 that process information so the AI can learn 193 00:06:48,960 --> 00:06:50,440 and make decisions. 194 00:06:50,440 --> 00:06:52,560 And by doing all the computations on the chip, 195 00:06:52,560 --> 00:06:56,240 you get these massive improvements in speed and efficiency. 196 00:06:56,240 --> 00:06:59,680 It's like opening up a whole new world for AI applications. 197 00:06:59,680 --> 00:07:02,080 So what kind of real-world applications 198 00:07:02,080 --> 00:07:03,040 are we talking about? 199 00:07:03,040 --> 00:07:05,120 I mean, the possibilities are endless. 200 00:07:05,120 --> 00:07:07,760 Faster and more energy-efficient deep learning 201 00:07:07,760 --> 00:07:09,560 could revolutionize things like LiDAR, 202 00:07:09,560 --> 00:07:11,680 which is used in self-driving cars. 203 00:07:11,680 --> 00:07:15,320 Or scientific research that needs to process tons of data. 204 00:07:15,320 --> 00:07:17,040 Even high-speed telecommunications 205 00:07:17,040 --> 00:07:18,240 could benefit from this. 206 00:07:18,240 --> 00:07:20,920 Wow, so we're talking about a wide range of industries 207 00:07:20,920 --> 00:07:22,480 that could be transformed by this. 208 00:07:22,480 --> 00:07:23,360 Oh, absolutely. 209 00:07:23,360 --> 00:07:26,360 And the best part, they used commercial foundry processes 210 00:07:26,360 --> 00:07:28,760 to make this chip, which means it could be mass-produced 211 00:07:28,760 --> 00:07:31,680 and easily integrated with existing electronics. 212 00:07:31,680 --> 00:07:33,280 It's not just a lab experiment, 213 00:07:33,280 --> 00:07:35,400 it has real potential to change things. 214 00:07:35,400 --> 00:07:36,640 That's incredible. 215 00:07:36,640 --> 00:07:38,200 Sticking with AI hardware, 216 00:07:38,200 --> 00:07:41,320 AWS announced some big changes to their data center strategy 217 00:07:41,320 --> 00:07:43,400 at their redot-invent conference. 218 00:07:43,400 --> 00:07:45,440 Yeah, they're going all in on liquid cooling 219 00:07:45,440 --> 00:07:46,640 for their AI servers, 220 00:07:46,640 --> 00:07:49,480 especially for the ones that use their own tranium chips 221 00:07:49,480 --> 00:07:51,240 and NVIDIA's accelerators. 222 00:07:51,240 --> 00:07:54,560 Liquid cooling is really smart for high-performance computing, 223 00:07:54,560 --> 00:07:56,800 especially for tough AI workloads, 224 00:07:56,800 --> 00:07:59,200 because it's just much more efficient 225 00:07:59,200 --> 00:08:01,000 than traditional air cooling. 226 00:08:01,000 --> 00:08:02,440 Yeah, and they're not stopping there. 227 00:08:02,440 --> 00:08:04,400 They're simplifying their designs, too. 228 00:08:04,400 --> 00:08:06,160 Like for servers and server racks, 229 00:08:06,160 --> 00:08:08,320 both the electrical and mechanical stuff, 230 00:08:08,320 --> 00:08:09,720 it'll make things more efficient, 231 00:08:09,720 --> 00:08:11,240 less likely to have outages, 232 00:08:11,240 --> 00:08:14,440 and that's cruel for keeping those AI systems running smoothly. 233 00:08:14,440 --> 00:08:15,360 It makes sense. 234 00:08:15,360 --> 00:08:16,880 Data centers have to evolve 235 00:08:16,880 --> 00:08:20,040 to handle these increasingly sophisticated AI applications, 236 00:08:20,040 --> 00:08:22,960 and it looks like AWS is taking the lead 237 00:08:22,960 --> 00:08:24,560 by investing in the infrastructure 238 00:08:24,560 --> 00:08:27,000 that's needed for the next generation of AI. 239 00:08:27,000 --> 00:08:29,040 It really is mind-blowing 240 00:08:29,040 --> 00:08:32,000 to see all these areas being impacted by AI, 241 00:08:32,000 --> 00:08:33,600 from the chips themselves 242 00:08:33,600 --> 00:08:35,880 to the massive data centers that house them. 243 00:08:35,880 --> 00:08:37,560 But with all this happening at once, 244 00:08:37,560 --> 00:08:39,720 these shopping agents becoming real, 245 00:08:39,720 --> 00:08:42,280 the geopolitical stuff around semiconductors, 246 00:08:42,280 --> 00:08:44,560 governments trying to figure out AI's impact, 247 00:08:44,560 --> 00:08:48,840 and these incredible breakthroughs in hardware, 248 00:08:48,840 --> 00:08:50,240 where do you think it's all headed? 249 00:08:50,240 --> 00:08:52,600 What excites you the most and what worries you? 250 00:08:52,600 --> 00:08:53,800 It's the question, isn't it? 251 00:08:53,800 --> 00:08:57,720 We're at this point where AI's potential benefits and risks 252 00:08:57,720 --> 00:08:59,760 are becoming more and more clear. 253 00:08:59,760 --> 00:09:02,960 It's exciting and a little scary at the same time. 254 00:09:02,960 --> 00:09:05,640 I think it really comes down to how we choose to develop 255 00:09:05,640 --> 00:09:07,560 and use these powerful technologies. 256 00:09:07,560 --> 00:09:10,080 Well, we'll definitely be watching closely as things unfold. 257 00:09:10,080 --> 00:09:12,120 Speaking of things to watch, Microsoft, 258 00:09:12,120 --> 00:09:14,480 you know, the company behind Windows and Office, 259 00:09:14,480 --> 00:09:16,080 they're back in the spotlight, 260 00:09:16,080 --> 00:09:18,040 facing antitrust scrutiny again. 261 00:09:18,040 --> 00:09:20,760 Yeah, the FTC is launching a pretty big investigation 262 00:09:20,760 --> 00:09:22,200 into their business practices, 263 00:09:22,200 --> 00:09:24,240 especially their cloud computing business. 264 00:09:24,240 --> 00:09:25,800 Microsoft's been down this road before. 265 00:09:25,800 --> 00:09:27,200 Remember that big showdown 266 00:09:27,200 --> 00:09:29,360 with the Department of Justice back in the 90s? 267 00:09:29,360 --> 00:09:31,600 Right, what's different this time around though? 268 00:09:31,600 --> 00:09:34,120 This time, the FTC is digging deeper 269 00:09:34,120 --> 00:09:37,880 into their core businesses, cloud computing, AI, 270 00:09:37,880 --> 00:09:40,760 cybersecurity, it's a much more extensive look 271 00:09:40,760 --> 00:09:42,120 at how they operate. 272 00:09:42,120 --> 00:09:44,240 And all of this is happening with the Biden administration, 273 00:09:44,240 --> 00:09:47,000 which has been much tougher on antitrust issues, 274 00:09:47,000 --> 00:09:49,120 especially with big tech companies. 275 00:09:49,120 --> 00:09:51,520 The outcome of this is gonna have a big impact 276 00:09:51,520 --> 00:09:53,360 on Microsoft and the whole tech industry. 277 00:09:53,360 --> 00:09:55,080 It'll be interesting to see how it plays out. 278 00:09:55,080 --> 00:09:57,680 Welcome back to the Daily AI News Podcast. 279 00:09:57,680 --> 00:09:59,760 We're diving back into the latest in AI, 280 00:09:59,760 --> 00:10:02,080 the breakthroughs, the challenges, all of it. 281 00:10:02,080 --> 00:10:04,400 You know, before we jump back in, I gotta say, 282 00:10:04,400 --> 00:10:08,080 all this talk about antitrust investigations and big tech, 283 00:10:08,080 --> 00:10:09,840 it's kind of heavy, you know? 284 00:10:09,840 --> 00:10:11,880 Can we maybe like switch to something 285 00:10:11,880 --> 00:10:12,880 a little more optimistic, 286 00:10:12,880 --> 00:10:16,360 something about how AI can actually be used for good? 287 00:10:16,360 --> 00:10:17,480 Oh, absolutely. 288 00:10:17,480 --> 00:10:20,360 It's easy to get caught up in all the complexities 289 00:10:20,360 --> 00:10:21,920 and the what-ifs of AI, 290 00:10:21,920 --> 00:10:25,280 but we can't forget that it has incredible potential 291 00:10:25,280 --> 00:10:26,920 to really make our lives better. 292 00:10:26,920 --> 00:10:29,160 And one area where we're seeing that is healthcare. 293 00:10:29,160 --> 00:10:30,960 Yeah, I've heard a lot about AI and healthcare, 294 00:10:30,960 --> 00:10:34,240 but what exactly is it doing to make a difference? 295 00:10:34,240 --> 00:10:37,120 Well, researchers are using AI to develop new drugs, 296 00:10:37,120 --> 00:10:39,080 to diagnose diseases earlier, 297 00:10:39,080 --> 00:10:41,240 and even to personalize treatment plans. 298 00:10:41,240 --> 00:10:42,600 It's pretty amazing. 299 00:10:42,600 --> 00:10:44,680 So instead of just relying on doctors 300 00:10:44,680 --> 00:10:46,120 to analyze everything, 301 00:10:46,120 --> 00:10:47,840 AI can go through all this medical data, 302 00:10:47,840 --> 00:10:50,560 find patterns, see things that humans might miss. 303 00:10:50,560 --> 00:10:51,600 Exactly. 304 00:10:51,600 --> 00:10:53,560 AI is proving to be really good 305 00:10:53,560 --> 00:10:57,560 at analyzing medical images, like X-rays and MRIs. 306 00:10:57,560 --> 00:11:00,320 It can help doctors spot tumors and other abnormalities 307 00:11:00,320 --> 00:11:02,360 much more accurately and quickly. 308 00:11:02,360 --> 00:11:03,200 That's incredible. 309 00:11:03,200 --> 00:11:05,560 It's like having a second set of eyes, 310 00:11:05,560 --> 00:11:08,560 but super powered eyes, looking at those images. 311 00:11:08,560 --> 00:11:09,720 That's a great way to put it. 312 00:11:09,720 --> 00:11:11,640 And AI is not just about finding problems, 313 00:11:11,640 --> 00:11:13,760 it's helping to develop solutions too. 314 00:11:13,760 --> 00:11:16,520 It's playing a huge role in drug discovery. 315 00:11:16,520 --> 00:11:19,960 By analyzing massive data sets of genes and proteins 316 00:11:19,960 --> 00:11:21,520 and chemical compounds, 317 00:11:21,520 --> 00:11:24,800 AI can help researchers pinpoint promising drug candidates, 318 00:11:24,800 --> 00:11:27,200 which could speed up the development of new treatments. 319 00:11:27,200 --> 00:11:30,120 So AI is not just about creating new treatments, 320 00:11:30,120 --> 00:11:32,520 but it's also changing how healthcare is delivered. 321 00:11:32,520 --> 00:11:33,360 Exactly. 322 00:11:33,360 --> 00:11:35,200 Think about AI-powered chatbots. 323 00:11:35,200 --> 00:11:38,240 They can answer patients' questions, schedule appointments, 324 00:11:38,240 --> 00:11:40,480 even provide basic medical advice. 325 00:11:40,480 --> 00:11:41,960 That's a game changer, 326 00:11:41,960 --> 00:11:44,080 especially for people in remote areas 327 00:11:44,080 --> 00:11:46,640 or people who have a hard time getting to a doctor. 328 00:11:46,640 --> 00:11:49,480 It could make healthcare accessible to so many more people. 329 00:11:49,480 --> 00:11:50,680 You got it. 330 00:11:50,680 --> 00:11:54,920 Improving access is a major benefit of AI in healthcare. 331 00:11:54,920 --> 00:11:58,600 It can free up doctors to focus on more complex cases, 332 00:11:58,600 --> 00:12:00,800 and it can give basic care and information 333 00:12:00,800 --> 00:12:03,200 to people who might not otherwise get it. 334 00:12:03,200 --> 00:12:05,840 And AI is also making a big impact on education, right? 335 00:12:05,840 --> 00:12:07,000 Definitely. 336 00:12:07,000 --> 00:12:09,480 AI is being used to personalize education 337 00:12:09,480 --> 00:12:10,920 and make it more accessible. 338 00:12:10,920 --> 00:12:12,120 One exciting development 339 00:12:12,120 --> 00:12:14,720 is these AI-powered tutoring systems. 340 00:12:14,720 --> 00:12:16,520 Oh yeah, I've heard about those. 341 00:12:16,520 --> 00:12:18,960 It's like having your own personal tutor 24-7. 342 00:12:18,960 --> 00:12:19,800 How do they work? 343 00:12:19,800 --> 00:12:21,320 They're really sophisticated. 344 00:12:21,320 --> 00:12:24,440 They can actually adapt to each student's individual needs 345 00:12:24,440 --> 00:12:26,920 and provide personalized instruction and feedback, 346 00:12:26,920 --> 00:12:28,560 just like a human tutor would. 347 00:12:28,560 --> 00:12:30,920 And they can even figure out where students are struggling 348 00:12:30,920 --> 00:12:32,800 and give them extra help in those areas. 349 00:12:32,800 --> 00:12:34,520 This could be revolutionary for students 350 00:12:34,520 --> 00:12:37,200 who don't have access to traditional tutoring 351 00:12:37,200 --> 00:12:39,600 or who learn better with more personalized instructor. 352 00:12:39,600 --> 00:12:42,480 And don't forget about the potential for AI 353 00:12:42,480 --> 00:12:45,240 to create educational resources that anyone can use, 354 00:12:45,240 --> 00:12:47,880 no matter where they live, what language they speak, 355 00:12:47,880 --> 00:12:48,960 or how they learn best. 356 00:12:48,960 --> 00:12:50,400 That's amazing. 357 00:12:50,400 --> 00:12:52,000 AI could make it possible for anyone 358 00:12:52,000 --> 00:12:53,960 to learn anything anywhere. 359 00:12:53,960 --> 00:12:55,760 It's like education without limits. 360 00:12:55,760 --> 00:12:57,160 It really is. 361 00:12:57,160 --> 00:12:59,520 But of course, like any powerful technology, 362 00:12:59,520 --> 00:13:01,880 we have to be aware of the downsides too. 363 00:13:01,880 --> 00:13:04,360 One of the big concerns with AI is bias. 364 00:13:04,360 --> 00:13:06,080 Yeah, bias is a big issue. 365 00:13:06,080 --> 00:13:08,960 Can you explain how that might show up in AI systems? 366 00:13:08,960 --> 00:13:10,960 Well, if AI systems are trained on data 367 00:13:10,960 --> 00:13:13,240 that already has biases, they can actually 368 00:13:13,240 --> 00:13:16,120 perpetuate and even amplify those biases. 369 00:13:16,120 --> 00:13:19,800 And that could lead to unfair or discriminatory outcomes, 370 00:13:19,800 --> 00:13:22,240 especially in areas like hiring, lending, 371 00:13:22,240 --> 00:13:23,680 even criminal justice. 372 00:13:23,680 --> 00:13:26,280 So it's not enough to just build these powerful AI systems. 373 00:13:26,280 --> 00:13:27,760 We have to make sure they're trained on data 374 00:13:27,760 --> 00:13:30,400 that's diverse and fair, so they don't just repeat 375 00:13:30,400 --> 00:13:32,320 the same biases we see in society. 376 00:13:32,320 --> 00:13:33,440 Exactly. 377 00:13:33,440 --> 00:13:37,280 And that brings us to another worry, job displacement. 378 00:13:37,280 --> 00:13:40,600 As AI gets smarter, it's going to automate a lot of jobs 379 00:13:40,600 --> 00:13:41,960 that humans do now. 380 00:13:41,960 --> 00:13:43,240 That's a valid concern. 381 00:13:43,240 --> 00:13:44,960 What kinds of jobs are most at risk? 382 00:13:44,960 --> 00:13:47,560 It's hard to say for sure, but jobs 383 00:13:47,560 --> 00:13:50,800 that involve a lot of repetitive tasks or data analysis, 384 00:13:50,800 --> 00:13:53,240 those are probably the most vulnerable. 385 00:13:53,240 --> 00:13:56,240 But we also have to remember that AI will create new jobs too, 386 00:13:56,240 --> 00:13:59,440 especially in things like AI development, data science, 387 00:13:59,440 --> 00:14:00,680 and AI ethics. 388 00:14:00,680 --> 00:14:03,360 So it's not as simple as AI taking over all the jobs. 389 00:14:03,360 --> 00:14:05,880 It's more like a shift in what skills are needed, right? 390 00:14:05,880 --> 00:14:06,240 Right. 391 00:14:06,240 --> 00:14:08,040 We have to adapt to these changes 392 00:14:08,040 --> 00:14:09,560 and learn the skills that will be 393 00:14:09,560 --> 00:14:12,440 valuable in an AI-driven workplace. 394 00:14:12,440 --> 00:14:15,560 So what are the most important skills in this new world? 395 00:14:15,560 --> 00:14:18,760 Skills like creativity, critical thinking, problem 396 00:14:18,760 --> 00:14:21,280 solving, and being able to work well with technology 397 00:14:21,280 --> 00:14:22,680 will be essential. 398 00:14:22,680 --> 00:14:24,720 And we'll have to be lifelong learners, 399 00:14:24,720 --> 00:14:26,680 always updating our skills and knowledge 400 00:14:26,680 --> 00:14:29,480 to keep up with AI's rapid advancements. 401 00:14:29,480 --> 00:14:31,080 It's not just about technical skills. 402 00:14:31,080 --> 00:14:33,440 It's about being able to adapt and learn new things 403 00:14:33,440 --> 00:14:34,400 throughout your career. 404 00:14:34,400 --> 00:14:35,440 Exactly. 405 00:14:35,440 --> 00:14:38,400 And speaking of adapting, let's go back to retail for a minute. 406 00:14:38,400 --> 00:14:40,520 Remember we talked about those AI shopping agents 407 00:14:40,520 --> 00:14:41,880 like Perplexity? 408 00:14:41,880 --> 00:14:43,680 Well, guess who's joining the party? 409 00:14:43,680 --> 00:14:44,240 Amazon. 410 00:14:44,240 --> 00:14:45,600 No surprise there. 411 00:14:45,600 --> 00:14:46,800 They're an e-commerce giant. 412 00:14:46,800 --> 00:14:48,760 Of course, they're going to explore AI in this space. 413 00:14:48,760 --> 00:14:49,560 What are they up to? 414 00:14:49,560 --> 00:14:53,000 Well, they've been testing their own AI chatbot called Rufus. 415 00:14:53,000 --> 00:14:55,480 And the word is they're trying to turn Rufus 416 00:14:55,480 --> 00:14:58,040 into a full-blown AI shopping assistant that 417 00:14:58,040 --> 00:15:00,760 can help customers with checkout and everything. 418 00:15:00,760 --> 00:15:04,240 So they're kind of taking the same approach as Perplexity, 419 00:15:04,240 --> 00:15:07,440 trying to make online shopping easier with AI. 420 00:15:07,440 --> 00:15:09,440 Do you think this will lead to even more competition 421 00:15:09,440 --> 00:15:10,200 in this area? 422 00:15:10,200 --> 00:15:11,480 It could, yeah. 423 00:15:11,480 --> 00:15:14,480 It'll be interesting to see how Amazon's approach compares 424 00:15:14,480 --> 00:15:16,000 to Perplexity's. 425 00:15:16,000 --> 00:15:17,600 Will they offer similar features? 426 00:15:17,600 --> 00:15:20,320 Will they handle the privacy concerns differently? 427 00:15:20,320 --> 00:15:21,280 We'll have to wait and see. 428 00:15:21,280 --> 00:15:23,880 It's a good reminder that AI is constantly changing. 429 00:15:23,880 --> 00:15:27,080 And what's cutting edge today might be old news tomorrow. 430 00:15:27,080 --> 00:15:28,640 Speaking of things that can change quickly, 431 00:15:28,640 --> 00:15:30,720 let's talk about another risk with AI. 432 00:15:30,720 --> 00:15:32,800 We talked about bias and jobs. 433 00:15:32,800 --> 00:15:35,440 But what about AI being used for bad stuff? 434 00:15:35,440 --> 00:15:37,680 That's a crucial concern for sure. 435 00:15:37,680 --> 00:15:39,320 AI is a powerful tool. 436 00:15:39,320 --> 00:15:41,680 And like any tool, it can be misused. 437 00:15:41,680 --> 00:15:43,640 Cyber security experts are really 438 00:15:43,640 --> 00:15:46,560 worried about AI being used to create more sophisticated 439 00:15:46,560 --> 00:15:47,360 cyber attacks. 440 00:15:47,360 --> 00:15:48,640 That's scary. 441 00:15:48,640 --> 00:15:51,320 How could AI be used in those kinds of attacks? 442 00:15:51,320 --> 00:15:54,320 Well, imagine AI being used to automatically find 443 00:15:54,320 --> 00:15:58,080 witnesses in software or to create super convincing phishing 444 00:15:58,080 --> 00:16:00,280 attacks that trick people into giving away 445 00:16:00,280 --> 00:16:01,920 their personal information. 446 00:16:01,920 --> 00:16:03,760 So it's not just about AI taking our jobs. 447 00:16:03,760 --> 00:16:07,040 It's about AI being used to steal our data 448 00:16:07,040 --> 00:16:08,920 and disrupt our lives online. 449 00:16:08,920 --> 00:16:09,720 Right. 450 00:16:09,720 --> 00:16:11,960 And as AI gets even smarter, it's 451 00:16:11,960 --> 00:16:14,440 going to be harder to tell the difference between real human 452 00:16:14,440 --> 00:16:17,120 behavior and AI generated behavior, 453 00:16:17,120 --> 00:16:19,240 which means attackers could hide more easily 454 00:16:19,240 --> 00:16:20,640 and avoid getting caught. 455 00:16:20,640 --> 00:16:23,280 That sounds like a nightmare for cybersecurity professionals. 456 00:16:23,280 --> 00:16:24,520 It's definitely a challenge. 457 00:16:24,520 --> 00:16:26,880 They're going to have to develop new tools and techniques 458 00:16:26,880 --> 00:16:29,560 to fight back against AI-powered attacks. 459 00:16:29,560 --> 00:16:32,240 It's like a constant arms race with both sides 460 00:16:32,240 --> 00:16:33,760 trying to outsmart each other. 461 00:16:33,760 --> 00:16:36,400 It's a good reminder that while we're excited about AI's 462 00:16:36,400 --> 00:16:39,200 potential, we can't ignore the risks. 463 00:16:39,200 --> 00:16:40,800 And it's not just about protecting ourselves 464 00:16:40,800 --> 00:16:42,000 from cyber attacks. 465 00:16:42,000 --> 00:16:44,840 We also have to think about AI being used for surveillance 466 00:16:44,840 --> 00:16:45,680 and control. 467 00:16:45,680 --> 00:16:46,640 Absolutely. 468 00:16:46,640 --> 00:16:49,320 Governments and companies are using more and more AI-powered 469 00:16:49,320 --> 00:16:53,200 systems to monitor people and collect data on their behavior. 470 00:16:53,200 --> 00:16:55,640 And that raises serious questions about privacy 471 00:16:55,640 --> 00:16:57,080 and civil liberties. 472 00:16:57,080 --> 00:16:59,760 It sounds like something out of a discopian movie. 473 00:16:59,760 --> 00:17:02,480 I know it sounds dramatic, but it's a real concern. 474 00:17:02,480 --> 00:17:04,640 We need clear rules and regulations 475 00:17:04,640 --> 00:17:07,240 for how AI is used in these situations. 476 00:17:07,240 --> 00:17:09,840 We have to make sure these systems aren't used to take away 477 00:17:09,840 --> 00:17:11,600 our basic rights and freedoms. 478 00:17:11,600 --> 00:17:14,240 Transparency and accountability are crucial. 479 00:17:14,240 --> 00:17:16,640 We need to know how these systems are being used, 480 00:17:16,640 --> 00:17:19,880 who has access to the data, and what safeguards are in place 481 00:17:19,880 --> 00:17:21,200 to protect our privacy. 482 00:17:21,200 --> 00:17:21,960 You're right. 483 00:17:21,960 --> 00:17:23,880 It's about finding the right balance, 484 00:17:23,880 --> 00:17:27,440 using AI's power while protecting our rights and freedoms. 485 00:17:27,440 --> 00:17:30,440 It's not easy, and it requires everyone to work together. 486 00:17:30,440 --> 00:17:33,600 Researchers, developers, policymakers, the public. 487 00:17:33,600 --> 00:17:35,880 OK, let's move on to something a little lighter. 488 00:17:35,880 --> 00:17:38,800 How about AI in art and creativity? 489 00:17:38,800 --> 00:17:40,440 That's a fascinating area. 490 00:17:40,440 --> 00:17:43,720 AI is being used to create art, music, literature. 491 00:17:43,720 --> 00:17:46,960 And it sparked a big debate about what creativity really is 492 00:17:46,960 --> 00:17:49,040 and whether AI can be truly creative. 493 00:17:49,040 --> 00:17:52,280 Yeah, some people say AI is just a tool for artists to use, 494 00:17:52,280 --> 00:17:54,240 while others think AI can actually create 495 00:17:54,240 --> 00:17:56,800 original and innovative art on its own. 496 00:17:56,800 --> 00:17:57,920 Where do you stand on that? 497 00:17:57,920 --> 00:17:58,880 It's a tough one. 498 00:17:58,880 --> 00:18:02,960 We've seen some amazing AI-generated art and music, 499 00:18:02,960 --> 00:18:06,240 like that AI painting that sold for a ton of money at auction. 500 00:18:06,240 --> 00:18:09,400 So AI can definitely create things we recognize as art, 501 00:18:09,400 --> 00:18:12,440 but can it really be creative in the same way a human is? 502 00:18:12,440 --> 00:18:13,880 That's still up for debate. 503 00:18:13,880 --> 00:18:16,320 It feels like AI is making us rethink 504 00:18:16,320 --> 00:18:17,760 what it means to be creative. 505 00:18:17,760 --> 00:18:18,240 It is. 506 00:18:18,240 --> 00:18:21,280 It's pushing us to ask fundamental questions about art, 507 00:18:21,280 --> 00:18:23,240 authorship, imagination. 508 00:18:23,240 --> 00:18:25,920 It's a really exciting time to be exploring where art 509 00:18:25,920 --> 00:18:27,400 and technology intersect. 510 00:18:27,400 --> 00:18:29,360 All right, before we wrap up this part, 511 00:18:29,360 --> 00:18:32,200 let's go back to the future of work in an AI-driven world. 512 00:18:32,200 --> 00:18:33,400 We talked about it a bit earlier. 513 00:18:33,400 --> 00:18:35,840 Yeah, it's a topic that deserves a lot more attention. 514 00:18:35,840 --> 00:18:38,880 AI's impact on jobs is one of the biggest things 515 00:18:38,880 --> 00:18:39,920 we have to think about. 516 00:18:39,920 --> 00:18:43,200 Some experts are saying AI will take away tons of jobs 517 00:18:43,200 --> 00:18:45,760 as it automates tasks that humans do. 518 00:18:45,760 --> 00:18:49,040 Others say it will create new jobs and opportunities. 519 00:18:49,040 --> 00:18:50,080 What do you think? 520 00:18:50,080 --> 00:18:52,200 The truth is probably somewhere in the middle. 521 00:18:52,200 --> 00:18:54,560 AI won't eliminate all jobs, but it'll definitely 522 00:18:54,560 --> 00:18:58,000 change what work looks like and what skills you need to succeed. 523 00:18:58,000 --> 00:19:00,600 So instead of being afraid of robots taking over, 524 00:19:00,600 --> 00:19:02,880 we should focus on adapting to these changes 525 00:19:02,880 --> 00:19:04,800 and getting ready for the jobs of the future. 526 00:19:04,800 --> 00:19:05,480 Exactly. 527 00:19:05,480 --> 00:19:07,760 It's about lifelong learning, developing skills 528 00:19:07,760 --> 00:19:09,560 that can be used in different jobs 529 00:19:09,560 --> 00:19:13,040 and figuring out how to work effectively with AI systems. 530 00:19:13,040 --> 00:19:15,080 The jobs of the future might look different, 531 00:19:15,080 --> 00:19:17,760 but we'll still need human creativity, problem solving 532 00:19:17,760 --> 00:19:19,520 skills, and ingenuity. 533 00:19:19,520 --> 00:19:21,160 That's a more hopeful way to think about it 534 00:19:21,160 --> 00:19:22,720 amidst all the uncertainty. 535 00:19:22,720 --> 00:19:25,480 Yeah, it's about recognizing that we have the power 536 00:19:25,480 --> 00:19:29,360 to shape how AI develops and how it's used in our lives. 537 00:19:29,360 --> 00:19:32,320 And we have a responsibility to make sure it benefits everyone. 538 00:19:32,320 --> 00:19:35,520 It's a good reminder that even though AI is powerful, 539 00:19:35,520 --> 00:19:37,400 we're not just along for the ride. 540 00:19:37,400 --> 00:19:40,560 We can shape the future of work and make sure everyone 541 00:19:40,560 --> 00:19:44,440 has a chance to thrive in this AI-driven world. 542 00:19:44,440 --> 00:19:47,360 Welcome back to the Daily AI News Podcast. 543 00:19:47,360 --> 00:19:49,640 It feels like we've been springing through the world of AI 544 00:19:49,640 --> 00:19:51,200 so much happening so fast. 545 00:19:51,200 --> 00:19:52,640 It's hard to even keep up. 546 00:19:52,640 --> 00:19:54,880 It has been a bit of a whirlwind, hasn't it? 547 00:19:54,880 --> 00:19:58,960 AI shopping agents, photonic processing breakthroughs, 548 00:19:58,960 --> 00:20:01,480 those debates about antitrust and ethics. 549 00:20:01,480 --> 00:20:03,480 It's a lot to take in, even for those of us 550 00:20:03,480 --> 00:20:04,960 who follow this stuff all the time. 551 00:20:04,960 --> 00:20:05,920 It really is. 552 00:20:05,920 --> 00:20:08,560 AI is already touching so many parts of our lives. 553 00:20:08,560 --> 00:20:12,720 Healthcare, education, finance, cybersecurity, even art. 554 00:20:12,720 --> 00:20:15,240 And we talked about how it's going to change the future of work 555 00:20:15,240 --> 00:20:17,440 with new opportunities and new challenges. 556 00:20:17,440 --> 00:20:20,000 It's definitely complex and changing fast. 557 00:20:20,000 --> 00:20:23,080 It's hard to say exactly what the future holds. 558 00:20:23,080 --> 00:20:26,120 But one thing's for sure, AI is here to stay. 559 00:20:26,120 --> 00:20:29,400 And it's going to keep shaping our world in big ways. 560 00:20:29,400 --> 00:20:32,080 So looking ahead, what should we be paying attention to? 561 00:20:32,080 --> 00:20:33,840 What are the big trends? 562 00:20:33,840 --> 00:20:36,320 Well, I'm really excited about how AI is going to combine 563 00:20:36,320 --> 00:20:38,120 with other new technologies. 564 00:20:38,120 --> 00:20:40,360 Like imagine the possibilities when you put AI together 565 00:20:40,360 --> 00:20:42,200 with the power of quantum computers. 566 00:20:42,200 --> 00:20:43,040 That's mind-blowing. 567 00:20:43,040 --> 00:20:46,920 We could see breakthroughs in drug discovery, new materials, 568 00:20:46,920 --> 00:20:48,680 even understanding the universe better. 569 00:20:48,680 --> 00:20:50,360 The possibilities are endless. 570 00:20:50,360 --> 00:20:53,240 And what about AI revolutionizing health care? 571 00:20:53,240 --> 00:20:54,800 We could have personalized medicine 572 00:20:54,800 --> 00:20:56,880 based on each person's genes. 573 00:20:56,880 --> 00:20:59,400 Treatments that are specifically designed for you 574 00:20:59,400 --> 00:21:01,640 so they work better and have fewer side effects. 575 00:21:01,640 --> 00:21:03,680 That's the dream of personalized medicine. 576 00:21:03,680 --> 00:21:06,400 And AI is the key to making it happen. 577 00:21:06,400 --> 00:21:08,920 AI can look at huge amounts of genetic data, 578 00:21:08,920 --> 00:21:11,120 find patterns, and predict if someone 579 00:21:11,120 --> 00:21:13,000 is likely to get certain diseases 580 00:21:13,000 --> 00:21:15,440 and how they'll respond to different treatments. 581 00:21:15,440 --> 00:21:18,960 It's about moving away from one-size-fits-all health care 582 00:21:18,960 --> 00:21:21,560 and having treatments that are as unique as each person. 583 00:21:21,560 --> 00:21:22,920 Those are just two examples. 584 00:21:22,920 --> 00:21:26,320 But they show how powerful it can be when AI evolves 585 00:21:26,320 --> 00:21:29,160 and combines with other game-changing technologies. 586 00:21:29,160 --> 00:21:30,600 It's pretty exciting to be alive right now 587 00:21:30,600 --> 00:21:31,680 and see all this happening. 588 00:21:31,680 --> 00:21:32,520 It is exciting. 589 00:21:32,520 --> 00:21:34,320 But we also have to be responsible. 590 00:21:34,320 --> 00:21:37,240 We have to develop and use AI in a way that's ethical, 591 00:21:37,240 --> 00:21:39,720 that aligns with our values as a society. 592 00:21:39,720 --> 00:21:43,160 AI can be a force for good, but only if we use it wisely. 593 00:21:43,160 --> 00:21:44,440 That's so important. 594 00:21:44,440 --> 00:21:47,160 We have to make sure AI benefits everyone, 595 00:21:47,160 --> 00:21:48,880 not just a few people. 596 00:21:48,880 --> 00:21:51,480 We talked about bias in AI systems 597 00:21:51,480 --> 00:21:54,360 and how important it is to be transparent and accountable 598 00:21:54,360 --> 00:21:56,400 in how those systems are built and used. 599 00:21:56,400 --> 00:21:57,960 Those are concerns we can't ignore. 600 00:21:57,960 --> 00:21:58,840 I agree. 601 00:21:58,840 --> 00:22:02,080 We need researchers, developers, policymakers, 602 00:22:02,080 --> 00:22:04,080 and the public to keep talking to each other 603 00:22:04,080 --> 00:22:05,280 and working together. 604 00:22:05,280 --> 00:22:07,320 We have to think about the ethics of AI 605 00:22:07,320 --> 00:22:08,960 at every step of the way. 606 00:22:08,960 --> 00:22:11,600 Asking the tough questions and making sure that AI 607 00:22:11,600 --> 00:22:14,560 is used to create a world that's fairer, more just, 608 00:22:14,560 --> 00:22:15,800 and sustainable for everyone. 609 00:22:15,800 --> 00:22:18,200 And we have to invest in education and training 610 00:22:18,200 --> 00:22:20,160 so people are ready for the changes AI 611 00:22:20,160 --> 00:22:22,040 will bring to the workforce. 612 00:22:22,040 --> 00:22:23,960 We need to give people the skills they need 613 00:22:23,960 --> 00:22:27,480 to thrive in a future where humans and AI work together, 614 00:22:27,480 --> 00:22:29,200 each one using their strengths. 615 00:22:29,200 --> 00:22:30,080 Exactly. 616 00:22:30,080 --> 00:22:32,080 It's about giving people the power 617 00:22:32,080 --> 00:22:34,680 to embrace the opportunities that AI brings 618 00:22:34,680 --> 00:22:37,440 while also understanding and managing the risks. 619 00:22:37,440 --> 00:22:40,040 It's a future with both promise and uncertainty, 620 00:22:40,040 --> 00:22:42,280 but it's gonna be fascinating to see what happens. 621 00:22:42,280 --> 00:22:44,160 Well, thanks for joining us for this deep dive 622 00:22:44,160 --> 00:22:45,400 into the world of AI. 623 00:22:45,400 --> 00:22:48,280 It's been a whirlwind of information, insights, 624 00:22:48,280 --> 00:22:50,400 and thought-provoking conversation. 625 00:22:50,400 --> 00:22:52,240 And as always, stay tuned for more 626 00:22:52,240 --> 00:22:54,360 from the Daily AI News Podcast, 627 00:22:54,360 --> 00:22:56,760 where we'll keep exploring the always changing world 628 00:22:56,760 --> 00:22:58,400 of artificial intelligence. 629 00:22:58,400 --> 00:22:59,280 Until next time. 630 00:22:59,280 --> 00:23:01,840 Thanks for listening to the Daily AI News Podcast, 631 00:23:01,840 --> 00:23:08,840 and stay tuned for more.