1 00:00:00,000 --> 00:00:03,600 Welcome to the Daily AI News Podcast, ready for another deep dive. 2 00:00:04,600 --> 00:00:08,360 Today, we're looking at AI, changing how we interact with the digital world. 3 00:00:08,360 --> 00:00:12,080 Yeah, it's everything from searching for information to actually playing games. 4 00:00:12,160 --> 00:00:15,400 It's really fascinating to see this shift towards more 5 00:00:15,400 --> 00:00:17,240 immersive and intuitive experiences. 6 00:00:17,240 --> 00:00:18,000 Definitely. 7 00:00:18,000 --> 00:00:23,120 And all driven by advancements in AI models and their ability to, you know, 8 00:00:23,240 --> 00:00:26,000 understand and generate human-like content. 9 00:00:26,000 --> 00:00:33,360 OK, let's jump right in, starting with open AI launching web search for chat GPT. 10 00:00:33,480 --> 00:00:34,160 Huge news. 11 00:00:34,240 --> 00:00:38,800 It was a big limitation that chat GPT and other large language models could only 12 00:00:38,800 --> 00:00:40,560 use information up to a certain point. 13 00:00:40,560 --> 00:00:40,880 Right. 14 00:00:40,920 --> 00:00:45,800 But now this new feature gives chat GPT access to constantly updating info directly 15 00:00:45,800 --> 00:00:46,480 from the web. 16 00:00:46,640 --> 00:00:50,320 The way I can just ask chat GPT anything and it'll give me an answer and links 17 00:00:50,320 --> 00:00:51,520 to websites to back it up. 18 00:00:51,560 --> 00:00:52,160 Exactly. 19 00:00:52,160 --> 00:00:54,880 So no more going back and forth between chat GPT and Google. 20 00:00:54,920 --> 00:00:55,360 That's right. 21 00:00:55,360 --> 00:00:57,280 And it's more than just basic search results. 22 00:00:57,320 --> 00:00:57,600 Yeah. 23 00:00:57,640 --> 00:01:00,480 Like imagine you ask about the weather in Paris and instead of just text, 24 00:01:00,480 --> 00:01:02,440 you get a visual forecast right there in the chat. 25 00:01:02,760 --> 00:01:07,560 They're doing similar designs for stocks, sports scores, even news headlines. 26 00:01:07,560 --> 00:01:11,960 Speaking of news, didn't open AI partner with some news organizations for this? 27 00:01:11,960 --> 00:01:16,600 Yes, they want to make sure the info is trustworthy and it's good for everyone involved. 28 00:01:16,640 --> 00:01:17,200 Now, so. 29 00:01:17,680 --> 00:01:21,880 Well, it helps address misinformation concerns, but also helps publishers 30 00:01:21,880 --> 00:01:24,160 because it drives traffic to their websites. 31 00:01:24,200 --> 00:01:24,800 That makes sense. 32 00:01:24,800 --> 00:01:26,320 A smart move for sure. 33 00:01:26,360 --> 00:01:26,680 Okay. 34 00:01:26,680 --> 00:01:32,200 So continuing with trustworthy AI, what about Google's new grounding with Google 35 00:01:32,200 --> 00:01:35,520 search feature for their Gemini AI model? 36 00:01:35,640 --> 00:01:36,760 Oh, this is interesting. 37 00:01:36,800 --> 00:01:37,280 What is it? 38 00:01:37,320 --> 00:01:37,840 Exactly. 39 00:01:37,920 --> 00:01:41,040 It's Google's answer to the problem of AI hallucinations. 40 00:01:41,080 --> 00:01:42,680 You mean where the AI makes stuff up? 41 00:01:42,720 --> 00:01:43,480 Exactly. 42 00:01:43,560 --> 00:01:46,080 Grounding basically keeps Gemini honest. 43 00:01:46,520 --> 00:01:47,200 But how does it work? 44 00:01:47,360 --> 00:01:48,880 Does it like fact check everything? 45 00:01:48,880 --> 00:01:50,160 It's more like a double check. 46 00:01:50,280 --> 00:01:50,520 Okay. 47 00:01:50,520 --> 00:01:54,400 When you ask Gemini something, it uses its own knowledge, but also checks 48 00:01:54,400 --> 00:01:55,800 Google search at the same time. 49 00:01:55,960 --> 00:01:58,760 Ah, so it combines what it knows with what it finds online. 50 00:01:58,920 --> 00:01:59,320 Right. 51 00:01:59,400 --> 00:02:01,880 And that means more accurate and up to date answers. 52 00:02:01,960 --> 00:02:06,840 And to be extra sure, I read that Gemini even shows you the sources it used, right? 53 00:02:07,200 --> 00:02:07,680 Yes. 54 00:02:08,040 --> 00:02:09,320 Complete transparency there. 55 00:02:09,560 --> 00:02:10,160 That's great. 56 00:02:10,200 --> 00:02:11,120 Really builds trust. 57 00:02:11,160 --> 00:02:14,560 So Google's all about making things easier and trustworthy. 58 00:02:14,800 --> 00:02:17,280 And they're also adding Gemini to Google Maps, right? 59 00:02:17,520 --> 00:02:21,400 This is a perfect example of AI becoming part of our everyday lives. 60 00:02:21,480 --> 00:02:23,200 Literally, dining us through the world. 61 00:02:23,200 --> 00:02:24,280 Yeah, exactly. 62 00:02:24,360 --> 00:02:24,920 Think about it. 63 00:02:25,040 --> 00:02:28,200 You could ask Google Maps for the best ramen places in Tokyo. 64 00:02:28,280 --> 00:02:31,240 And it would factor in not just ratings, but also your preferences. 65 00:02:31,400 --> 00:02:34,320 And maybe even reviews from food bloggers I follow. 66 00:02:34,440 --> 00:02:35,040 You got it. 67 00:02:35,120 --> 00:02:37,000 It's like a super personalized tour guide. 68 00:02:37,120 --> 00:02:37,760 That's amazing. 69 00:02:37,840 --> 00:02:41,160 You could ask for tips, get detailed walking directions, anything. 70 00:02:41,280 --> 00:02:41,720 But hold on. 71 00:02:41,760 --> 00:02:44,000 Is Google Maps using that grounding thing too? 72 00:02:44,000 --> 00:02:46,000 I mean, how do we know these recommendations are accurate? 73 00:02:46,080 --> 00:02:46,880 Great question. 74 00:02:47,120 --> 00:02:49,480 Yes, grounding is definitely a big part of this too. 75 00:02:49,600 --> 00:02:52,960 So it cross references everything with real time info from the web. 76 00:02:52,960 --> 00:02:55,360 Yep, to avoid those hallucinations. 77 00:02:55,440 --> 00:03:00,360 It seems like both open AI and Google are really serious about making AI 78 00:03:00,400 --> 00:03:02,120 that we can actually trust. 79 00:03:02,640 --> 00:03:04,040 Definitely a trend we're seeing. 80 00:03:04,080 --> 00:03:05,440 It's not just about being smart. 81 00:03:05,480 --> 00:03:07,520 It's about being reliable too. 82 00:03:07,720 --> 00:03:08,000 Right. 83 00:03:08,040 --> 00:03:11,720 As AI gets more powerful and becomes a bigger part of our lives, 84 00:03:11,960 --> 00:03:13,200 trust is essential. 85 00:03:13,280 --> 00:03:17,800 Users need to feel confident that the information they're getting is accurate and unbiased. 86 00:03:17,840 --> 00:03:18,600 Exactly. 87 00:03:18,800 --> 00:03:21,120 OK, let's shift gears a bit and talk about some challenges. 88 00:03:21,160 --> 00:03:21,360 Yeah. 89 00:03:21,360 --> 00:03:24,480 Even with all this progress, it seems there are still some hurdles. 90 00:03:24,640 --> 00:03:25,280 Definitely. 91 00:03:25,320 --> 00:03:28,880 And one of the biggest ones for open AI right now is compute capacity. 92 00:03:29,040 --> 00:03:32,760 So basically they don't have the power to run all these amazing features? 93 00:03:32,840 --> 00:03:33,960 Basically, yes. 94 00:03:34,080 --> 00:03:39,600 You know, training these massive AI models takes tons of data and processing power. 95 00:03:39,680 --> 00:03:40,040 Yeah. 96 00:03:40,200 --> 00:03:45,520 And open AI is having a bit of trouble getting enough resources to keep up with everything they want to do. 97 00:03:45,840 --> 00:03:50,840 So what about things like the advanced voice mode for chat GPT in the next Dali 98 00:03:50,840 --> 00:03:52,040 or those delayed? 99 00:03:52,120 --> 00:03:53,520 Unfortunately, yes. 100 00:03:53,560 --> 00:03:54,080 For me. 101 00:03:54,160 --> 00:03:58,840 Open AI CEO Sam Altman admitted that limited compute is causing delays. 102 00:03:58,920 --> 00:04:02,880 It's a good reminder that AI development still has real world limitations. 103 00:04:02,920 --> 00:04:03,520 Definitely. 104 00:04:03,560 --> 00:04:04,480 It's not magic. 105 00:04:04,520 --> 00:04:07,440 There's a lot of complex engineering and infrastructure behind it all. 106 00:04:07,480 --> 00:04:08,520 A lot of people forget that. 107 00:04:08,560 --> 00:04:14,920 OK, and speaking of constraints, what about Microsoft's delay with their AI powered recall feature? 108 00:04:14,960 --> 00:04:16,120 Oh. 109 00:04:16,160 --> 00:04:18,600 The one that records everything you do on your computer. 110 00:04:18,600 --> 00:04:21,000 It raised some privacy concerns, understandably. 111 00:04:21,040 --> 00:04:22,280 Yeah, I can see why. 112 00:04:22,320 --> 00:04:25,960 It feels intrusive to have every click and keystroke recorded. 113 00:04:26,000 --> 00:04:28,400 Even if it's meant to help you find things later. 114 00:04:28,480 --> 00:04:29,040 Right. 115 00:04:29,080 --> 00:04:30,080 So what's happening with that? 116 00:04:30,120 --> 00:04:32,960 Microsoft is delaying it to address those concerns. 117 00:04:33,120 --> 00:04:34,160 So they're being careful. 118 00:04:34,240 --> 00:04:36,240 They're saying it'll be opt in. 119 00:04:36,400 --> 00:04:38,960 The data is encrypted and stored locally. 120 00:04:39,040 --> 00:04:39,440 That's good. 121 00:04:39,480 --> 00:04:42,400 Users can also uninstall it completely if they want. 122 00:04:42,440 --> 00:04:44,200 It sounds like they're trying to be responsible. 123 00:04:44,240 --> 00:04:47,960 Yeah, it's a tough balance between innovation and user privacy. 124 00:04:47,960 --> 00:04:49,880 But it's important they're taking it seriously. 125 00:04:49,920 --> 00:04:50,400 Absolutely. 126 00:04:50,440 --> 00:04:55,160 It shows they understand the importance of transparency and user control in AI development. 127 00:04:55,200 --> 00:05:01,280 As AI gets more integrated into our lives, we need to be able to make choices about how our data is used. 128 00:05:01,320 --> 00:05:02,320 That's a really good point. 129 00:05:02,360 --> 00:05:04,920 And be comfortable with the level of AI we're using. 130 00:05:04,960 --> 00:05:08,400 It seems like every exciting development has its own challenges. 131 00:05:08,440 --> 00:05:10,440 It's the nature of progress, isn't it? 132 00:05:10,480 --> 00:05:10,920 True. 133 00:05:10,960 --> 00:05:12,680 We're constantly pushing boundaries. 134 00:05:12,720 --> 00:05:17,200 And that comes with a responsibility to address the ethical and practical implications. 135 00:05:17,200 --> 00:05:21,120 Okay, so speaking of pushing boundaries, let's talk about embodied AI. 136 00:05:21,480 --> 00:05:22,240 Sounds good. 137 00:05:22,280 --> 00:05:25,880 You know, the robots and their ability to interact with the physical world. 138 00:05:25,920 --> 00:05:29,360 Yeah, this is where AI steps out of the screen and into reality. 139 00:05:29,400 --> 00:05:30,160 Exactly. 140 00:05:30,200 --> 00:05:36,960 And Meta is making some really interesting progress here, especially with touch, perception and dexterity in robots. 141 00:05:37,000 --> 00:05:40,600 Their work on tactile sensing is really impressive. 142 00:05:40,640 --> 00:05:42,520 Yeah, they've got that Meta sparse thing, right? 143 00:05:42,560 --> 00:05:43,000 Yes. 144 00:05:43,000 --> 00:05:47,280 It's a completely new approach to touch representation. 145 00:05:47,320 --> 00:05:50,360 So are they basically giving robots a sense of touch like ours? 146 00:05:50,400 --> 00:05:51,680 That's the idea. 147 00:05:51,720 --> 00:05:52,560 That's wild. 148 00:05:52,600 --> 00:05:56,280 Imagine robots that can feel texture, temperature, even vibrations. 149 00:05:56,320 --> 00:05:56,920 Wow. 150 00:05:56,960 --> 00:06:01,760 This could revolutionize fields like manufacturing, healthcare, even surgery. 151 00:06:01,800 --> 00:06:02,760 So many possibilities. 152 00:06:02,800 --> 00:06:07,880 They also have MetaDigit360, which is this super advanced tactile fingertip. 153 00:06:07,920 --> 00:06:09,640 It's like giving robots superpowers. 154 00:06:09,680 --> 00:06:10,280 Right. 155 00:06:10,280 --> 00:06:15,480 It can sense pressure, texture, and they're even working on temperature and chemical changes. 156 00:06:15,520 --> 00:06:16,000 Wow. 157 00:06:16,040 --> 00:06:16,960 That's incredible. 158 00:06:17,000 --> 00:06:20,760 And to make all this more accessible, they've partnered with Gelsite, Inc. 159 00:06:20,800 --> 00:06:24,080 and Wernic Robotics to commercialize these technologies. 160 00:06:24,120 --> 00:06:26,880 So this is going to be available to other researchers and developers. 161 00:06:26,920 --> 00:06:27,400 Exactly. 162 00:06:27,440 --> 00:06:30,640 It'll really speed up the development of even more advanced robots. 163 00:06:30,680 --> 00:06:31,920 This is huge. 164 00:06:31,960 --> 00:06:36,440 It's amazing to see these advancements going from the lab into the real world. 165 00:06:36,480 --> 00:06:37,560 And they're not stopping there. 166 00:06:37,560 --> 00:06:42,120 They've also got MetaDigit Plexus, which is a platform for integrating lots of different 167 00:06:42,160 --> 00:06:44,240 touch sensors into one robot hand. 168 00:06:44,280 --> 00:06:47,480 Oh, so like a universal adapter for robot touch. 169 00:06:47,520 --> 00:06:48,240 Exactly. 170 00:06:48,280 --> 00:06:50,960 Makes it much easier for researchers to experiment. 171 00:06:51,000 --> 00:06:51,640 That's smart. 172 00:06:51,680 --> 00:06:55,400 And they've also introduced the PartiNR benchmark. 173 00:06:55,440 --> 00:06:56,120 What's that? 174 00:06:56,160 --> 00:07:00,120 It stands for Planning and Reasoning Tasks in Human-Robot Collaboration. 175 00:07:00,160 --> 00:07:01,280 That's a mouthful. 176 00:07:01,320 --> 00:07:02,120 I know, right? 177 00:07:02,160 --> 00:07:02,520 Yeah. 178 00:07:02,560 --> 00:07:06,440 But basically, it's a standardized test for how well robots can work with humans. 179 00:07:06,480 --> 00:07:07,240 Oh. 180 00:07:07,240 --> 00:07:10,360 So it's not just about robots doing things on their own anymore. 181 00:07:10,400 --> 00:07:10,680 Nope. 182 00:07:10,720 --> 00:07:11,960 Now it's about cooperation. 183 00:07:12,000 --> 00:07:14,080 So the focus is on social interaction. 184 00:07:14,120 --> 00:07:14,680 Yeah. 185 00:07:14,720 --> 00:07:19,320 And understanding human intentions, adapting to new situations, things like that. 186 00:07:19,360 --> 00:07:21,720 So they need to be more than just efficient machines. 187 00:07:21,760 --> 00:07:22,600 Exactly. 188 00:07:22,640 --> 00:07:23,960 They need to be partners. 189 00:07:24,000 --> 00:07:25,600 That's a really cool way to think about it. 190 00:07:25,640 --> 00:07:29,240 We're moving away from the idea of robots replacing humans. 191 00:07:29,280 --> 00:07:31,240 And toward this idea of them working together. 192 00:07:31,280 --> 00:07:31,680 Right. 193 00:07:31,720 --> 00:07:34,600 Augmenting our capabilities and working side by side. 194 00:07:34,640 --> 00:07:35,240 I like that. 195 00:07:35,240 --> 00:07:38,480 Now, meta isn't alone in embodied AI. 196 00:07:38,520 --> 00:07:39,480 Oh, right. 197 00:07:39,520 --> 00:07:40,440 What about the cart? 198 00:07:40,480 --> 00:07:41,880 They just came out of stealth mode. 199 00:07:41,920 --> 00:07:44,520 And they've developed an AI model called Oasis. 200 00:07:44,560 --> 00:07:47,520 Which can simulate a playable version of Minecraft. 201 00:07:47,560 --> 00:07:48,560 In real time. 202 00:07:48,600 --> 00:07:49,280 Yes. 203 00:07:49,320 --> 00:07:51,120 It's an example of a world model. 204 00:07:51,160 --> 00:07:51,920 Like that? 205 00:07:51,960 --> 00:07:57,520 It's like the AI has learned all the rules and physics of a world, in this case, Minecraft. 206 00:07:57,560 --> 00:08:03,800 It's been trained on tons of gameplay footage and can make new game content on the fly. 207 00:08:03,800 --> 00:08:05,760 So it reacts to what the player does. 208 00:08:05,800 --> 00:08:06,720 Yes. 209 00:08:06,760 --> 00:08:08,520 And simulates the game environment. 210 00:08:08,560 --> 00:08:09,240 That's so cool. 211 00:08:09,280 --> 00:08:13,960 It's like having an AI game master who can create endless, unique challenges. 212 00:08:14,000 --> 00:08:15,160 Wow. 213 00:08:15,200 --> 00:08:17,440 This could really change how we think about gaming. 214 00:08:17,480 --> 00:08:18,240 For sure. 215 00:08:18,280 --> 00:08:22,320 Imagine games that are constantly changing based on your actions. 216 00:08:22,360 --> 00:08:23,840 Just like a personalized experience. 217 00:08:23,880 --> 00:08:24,640 Exactly. 218 00:08:24,680 --> 00:08:26,760 But what about the people who make games? 219 00:08:26,800 --> 00:08:27,800 What happens to them? 220 00:08:27,840 --> 00:08:28,760 That's a good question. 221 00:08:28,800 --> 00:08:30,280 And it's something we need to consider. 222 00:08:30,320 --> 00:08:30,880 Yeah. 223 00:08:30,880 --> 00:08:34,800 It's likely that AI will become a powerful tool for game creators. 224 00:08:34,840 --> 00:08:35,520 You think so? 225 00:08:35,560 --> 00:08:39,360 It could help them create even bigger and more immersive experiences. 226 00:08:39,400 --> 00:08:40,040 That makes sense. 227 00:08:40,080 --> 00:08:43,960 But we also need to think about the potential impact on jobs in the gaming industry. 228 00:08:44,000 --> 00:08:46,960 And how people can learn new skills to adapt. 229 00:08:47,000 --> 00:08:48,040 Exactly. 230 00:08:48,080 --> 00:08:52,400 It's a reminder that AI changes everything and we need to be ready for it. 231 00:08:52,440 --> 00:08:53,120 Definitely. 232 00:08:53,160 --> 00:08:55,520 Oh, and Descartes might face some legal questions too. 233 00:08:55,560 --> 00:08:56,680 About? 234 00:08:56,680 --> 00:09:02,040 Well, training an AI on copyrighted content like Minecraft is kind of a gray area legally. 235 00:09:02,080 --> 00:09:03,400 It's a complex issue, isn't it? 236 00:09:03,440 --> 00:09:03,960 For sure. 237 00:09:04,000 --> 00:09:08,360 We need clear rules as AI becomes more capable of creating things. 238 00:09:08,400 --> 00:09:11,720 Especially when it looks so similar to existing works. 239 00:09:11,760 --> 00:09:12,120 Okay. 240 00:09:12,160 --> 00:09:16,720 And while Descartes is focused on gaming, Google is going in a different direction 241 00:09:16,760 --> 00:09:19,440 with their generalist robot policies. 242 00:09:19,480 --> 00:09:20,400 Yes. 243 00:09:20,440 --> 00:09:22,640 Another fascinating area. 244 00:09:22,680 --> 00:09:24,840 Is it similar to what Meta is doing? 245 00:09:24,840 --> 00:09:27,760 Kind of. It's also about creating more versatile robots. 246 00:09:27,800 --> 00:09:32,520 But Google is focusing on AI systems that can do lots of different tasks. 247 00:09:32,560 --> 00:09:37,160 Learning from tons of data and adapting to new situations quickly. 248 00:09:37,200 --> 00:09:40,360 So not just robots that are programmed for one specific thing. 249 00:09:40,400 --> 00:09:41,240 Exactly. 250 00:09:41,280 --> 00:09:41,880 Cool. 251 00:09:41,920 --> 00:09:45,480 They have this prototype model called Pi Zero or Zero. 252 00:09:45,520 --> 00:09:46,280 Okay. 253 00:09:46,320 --> 00:09:50,400 Which has been trained on tons of tasks done by eight different robots. 254 00:09:50,440 --> 00:09:51,960 Eight. That's a lot. 255 00:09:52,000 --> 00:09:53,440 Like what kind of tasks? 256 00:09:53,440 --> 00:09:56,680 Everything from folding laundry to assembling boxes. 257 00:09:56,720 --> 00:09:59,760 Even learning new tasks by watching humans. 258 00:09:59,800 --> 00:10:01,680 Wow. So it's really adaptable. 259 00:10:01,720 --> 00:10:05,920 The goal is to make robots that are easier to use and better at working with us. 260 00:10:05,960 --> 00:10:07,720 That sounds like a major step forward. 261 00:10:07,760 --> 00:10:08,520 It is. 262 00:10:08,560 --> 00:10:10,720 What makes Pi Zero so good at learning? 263 00:10:10,760 --> 00:10:14,920 Well, one key thing is this internet scale vision language pre-training. 264 00:10:14,960 --> 00:10:16,360 So it's basically learning from the internet. 265 00:10:16,400 --> 00:10:17,360 Kind of, yes. 266 00:10:17,400 --> 00:10:18,200 That's crazy. 267 00:10:18,240 --> 00:10:20,800 It allows Pi Zero to understand a lot about the world. 268 00:10:20,800 --> 00:10:23,640 So it can follow instructions and figure out new tasks. 269 00:10:23,680 --> 00:10:24,240 That's amazing. 270 00:10:24,280 --> 00:10:28,960 It's a big step towards robots that are more like partners than just tools. 271 00:10:29,000 --> 00:10:29,880 I can see that. 272 00:10:29,920 --> 00:10:31,440 Okay. Now let's switch to healthcare. 273 00:10:31,480 --> 00:10:31,840 Sure. 274 00:10:31,880 --> 00:10:34,000 We're seeing AI make a big impact there too. 275 00:10:34,040 --> 00:10:36,880 Especially in diagnostics and personalized medicine. 276 00:10:36,920 --> 00:10:39,520 It's incredible how AI is changing healthcare. 277 00:10:39,560 --> 00:10:43,320 And one company doing amazing work is Adoraxis. 278 00:10:43,360 --> 00:10:46,240 They're the ones developing AI tools for cancer treatment, right? 279 00:10:46,280 --> 00:10:47,360 Exactly. 280 00:10:47,400 --> 00:10:50,480 And their main product is Adoraxis breast. 281 00:10:50,480 --> 00:10:51,920 I read a little about that. 282 00:10:51,960 --> 00:10:56,080 It analyzes tumor images to help doctors make better decisions. 283 00:10:56,120 --> 00:10:59,040 So it can help figure out the best treatment for each patient. 284 00:10:59,080 --> 00:10:59,720 Yes. 285 00:10:59,760 --> 00:11:02,520 And it's super accurate, even better than traditional methods. 286 00:11:02,560 --> 00:11:03,280 It's impressive. 287 00:11:03,320 --> 00:11:06,080 It's like having an AI oncologist helping the doctor. 288 00:11:06,120 --> 00:11:08,800 It could really improve outcomes for patients. 289 00:11:08,840 --> 00:11:09,400 Definitely. 290 00:11:09,440 --> 00:11:12,160 It could mean less chemo, fewer side effects, 291 00:11:12,200 --> 00:11:14,080 all thanks to personalized treatment. 292 00:11:14,120 --> 00:11:16,360 Are they going to use this for other steps of cancer too? 293 00:11:16,400 --> 00:11:17,120 Yes. 294 00:11:17,160 --> 00:11:19,560 They're planning to expand their research to lung cancer 295 00:11:19,560 --> 00:11:20,600 and melanoma. 296 00:11:20,640 --> 00:11:21,240 Wow. 297 00:11:21,280 --> 00:11:24,160 And they're also looking at ways to combine their AI tools 298 00:11:24,200 --> 00:11:25,920 with other medical technology. 299 00:11:25,960 --> 00:11:27,920 To create a more comprehensive approach. 300 00:11:27,960 --> 00:11:28,840 Exactly. 301 00:11:28,880 --> 00:11:32,720 It's amazing to see how AI is giving doctors new tools 302 00:11:32,760 --> 00:11:34,040 to fight diseases. 303 00:11:34,080 --> 00:11:37,640 And empowering them to diagnose and treat more effectively. 304 00:11:37,680 --> 00:11:39,480 Okay, so we've covered a lot in this first part. 305 00:11:39,520 --> 00:11:45,120 We have, from AI-powered search and gaming to robotics and healthcare. 306 00:11:45,160 --> 00:11:48,520 It's clear that AI is changing everything really quickly. 307 00:11:48,520 --> 00:11:50,760 It's affecting almost every part of our lives. 308 00:11:50,800 --> 00:11:53,920 And in the next part, we'll go even deeper into the implications 309 00:11:53,960 --> 00:11:54,960 of all these advancements. 310 00:11:55,000 --> 00:11:57,160 We'll look at both the opportunities and the challenges 311 00:11:57,200 --> 00:11:57,960 they present. 312 00:11:58,000 --> 00:12:01,240 So stay tuned for more after a quick break. 313 00:12:01,280 --> 00:12:04,240 Welcome back to the Daily AI News Podcast. 314 00:12:04,280 --> 00:12:07,080 We were just talking about the rapid evolution of AI 315 00:12:07,120 --> 00:12:10,640 and all the amazing progress in fields like search, gaming, 316 00:12:10,680 --> 00:12:12,200 robotics and healthcare. 317 00:12:12,240 --> 00:12:14,360 It's incredible to see how quickly things are changing. 318 00:12:14,400 --> 00:12:15,000 Really is. 319 00:12:15,040 --> 00:12:17,640 And you know, one of the key takeaways is that AI 320 00:12:17,640 --> 00:12:21,320 is becoming more and more integrated into our lives every day. 321 00:12:21,360 --> 00:12:22,320 That's everywhere. 322 00:12:22,360 --> 00:12:25,960 From our phones to our cars, it's like AI is slowly weaving 323 00:12:26,000 --> 00:12:28,160 itself into everything we do. 324 00:12:28,200 --> 00:12:30,120 And it's happening across so many different areas, 325 00:12:30,160 --> 00:12:31,200 not just in tech. 326 00:12:31,240 --> 00:12:35,040 Right, like I've seen AI being used in music, art, 327 00:12:35,080 --> 00:12:36,480 even finance and government. 328 00:12:36,520 --> 00:12:37,240 It's everywhere. 329 00:12:37,280 --> 00:12:39,960 And another big thing we talked about is the importance 330 00:12:40,000 --> 00:12:41,480 of trust in AI. 331 00:12:41,520 --> 00:12:42,480 Yeah, and that's crucial. 332 00:12:42,520 --> 00:12:46,240 As AI gets more powerful and can make more decisions on its own. 333 00:12:46,240 --> 00:12:47,800 It has to be reliable. 334 00:12:47,840 --> 00:12:50,840 We need to make sure it's unbiased and aligns with our value. 335 00:12:50,880 --> 00:12:52,800 It's not enough for it to just be smart. 336 00:12:52,840 --> 00:12:54,400 It has to be responsible too. 337 00:12:54,440 --> 00:12:55,040 Exactly. 338 00:12:55,080 --> 00:12:57,760 And that's why we see companies like Open AI and Google 339 00:12:57,800 --> 00:12:59,880 focusing on transparency. 340 00:12:59,920 --> 00:13:01,800 Yeah, showing us the sources and all that. 341 00:13:01,840 --> 00:13:04,560 Right, addressing those concerns about misinformation 342 00:13:04,600 --> 00:13:05,760 and hallucinations. 343 00:13:05,800 --> 00:13:07,680 It's good they're taking it seriously, 344 00:13:07,720 --> 00:13:10,640 but I wonder if there are any limitations to these safeguards. 345 00:13:10,680 --> 00:13:11,920 Good question. 346 00:13:11,960 --> 00:13:13,680 Can they be manipulated somehow? 347 00:13:13,720 --> 00:13:15,720 That's something researchers are looking into. 348 00:13:15,720 --> 00:13:16,520 Okay. 349 00:13:16,560 --> 00:13:17,440 Grounding is a good step. 350 00:13:17,480 --> 00:13:17,880 Yeah. 351 00:13:17,920 --> 00:13:19,000 But it's not foolproof. 352 00:13:19,040 --> 00:13:21,160 Right, someone could still try to trick the system, right? 353 00:13:21,200 --> 00:13:22,560 It's possible, yeah. 354 00:13:22,600 --> 00:13:26,200 They could try to influence the AI's responses by messing with 355 00:13:26,240 --> 00:13:28,600 search results or data sources. 356 00:13:28,640 --> 00:13:30,080 So it's like a constant battle. 357 00:13:30,120 --> 00:13:31,640 Kind of a cat and mouse game. 358 00:13:31,680 --> 00:13:34,120 To make sure AI stays trustworthy. 359 00:13:34,160 --> 00:13:37,120 And to prevent people from exploiting its weaknesses. 360 00:13:37,160 --> 00:13:40,360 It highlights the need for constant research and development. 361 00:13:40,400 --> 00:13:45,600 Yeah, we need robust ways to protect against bias and manipulation. 362 00:13:45,600 --> 00:13:48,320 We can't just blindly trust AI, right? 363 00:13:48,360 --> 00:13:49,880 We have to be aware of its limitations. 364 00:13:49,920 --> 00:13:50,440 Yeah. 365 00:13:50,480 --> 00:13:52,920 And use critical thinking when we interact with it. 366 00:13:52,960 --> 00:13:53,400 Absolutely. 367 00:13:53,440 --> 00:13:55,920 It's all about developing AI literacy. 368 00:13:55,960 --> 00:13:57,000 I like that term. 369 00:13:57,040 --> 00:13:59,360 We need to understand how these systems work. 370 00:13:59,400 --> 00:14:00,960 Yeah, how to evaluate what they tell us. 371 00:14:01,000 --> 00:14:02,600 And how to use them responsibly. 372 00:14:02,640 --> 00:14:04,400 That's so important. 373 00:14:04,440 --> 00:14:06,800 Now let's go back to some of the specific things we discussed. 374 00:14:06,840 --> 00:14:07,080 Sure. 375 00:14:07,120 --> 00:14:11,920 Cop an AI's decision to add web search to chat GPT is a major change. 376 00:14:11,960 --> 00:14:12,400 For sure. 377 00:14:12,440 --> 00:14:14,440 It's like opening up a whole new world of information. 378 00:14:14,440 --> 00:14:15,600 Exactly. 379 00:14:15,640 --> 00:14:17,880 And it makes accessing information so much easier. 380 00:14:17,920 --> 00:14:21,880 It's a big step towards realizing the potential of conversational AI. 381 00:14:21,920 --> 00:14:24,440 Imagine having a conversation with the internet. 382 00:14:24,480 --> 00:14:24,760 Yeah. 383 00:14:24,800 --> 00:14:28,720 Asking follow up questions and really diving deep into topics. 384 00:14:28,760 --> 00:14:31,760 It's so much more intuitive than just typing keywords. 385 00:14:31,800 --> 00:14:32,440 Right. 386 00:14:32,480 --> 00:14:35,840 And their partnerships with news organizations are really important too. 387 00:14:35,880 --> 00:14:37,160 Make sure the information is accurate. 388 00:14:37,200 --> 00:14:38,600 Yeah, trustworthy. 389 00:14:38,640 --> 00:14:42,160 Especially in a world where misinformation spreads so easily. 390 00:14:42,160 --> 00:14:44,480 AI could make that problem worse if we're not careful. 391 00:14:44,520 --> 00:14:45,560 Definitely. 392 00:14:45,600 --> 00:14:49,960 But we also talked about how open AI is facing some challenges with compute capacity. 393 00:14:50,000 --> 00:14:51,560 Yeah, those delays are a bummer. 394 00:14:51,600 --> 00:14:54,920 It's a good reminder that AI development isn't unlimited. 395 00:14:54,960 --> 00:14:57,720 It still relies on physical resources. 396 00:14:57,760 --> 00:15:01,560 Those massive AI models need a lot of power to run. 397 00:15:01,600 --> 00:15:03,320 So it's not just about writing code. 398 00:15:03,360 --> 00:15:05,160 It's about having the infrastructure too. 399 00:15:05,200 --> 00:15:06,040 Exactly. 400 00:15:06,080 --> 00:15:10,040 Now what about Google and their grounding with Google search for Gemini? 401 00:15:10,080 --> 00:15:11,600 Ah, yes. 402 00:15:11,600 --> 00:15:14,000 A great example of how they're tackling hallucinations. 403 00:15:14,040 --> 00:15:15,240 It's like a safety net. 404 00:15:15,280 --> 00:15:18,720 It helps to make sure the AI is giving accurate information. 405 00:15:18,760 --> 00:15:21,080 By connecting it to real-time data from the web. 406 00:15:21,120 --> 00:15:21,360 Right. 407 00:15:21,400 --> 00:15:22,920 It's like a built-in fact checker. 408 00:15:22,960 --> 00:15:24,680 That makes me feel better about using it. 409 00:15:24,720 --> 00:15:27,080 And their work with Google Maps is also exciting. 410 00:15:27,120 --> 00:15:27,520 Yeah. 411 00:15:27,560 --> 00:15:29,320 AI-powered recommendations. 412 00:15:29,360 --> 00:15:34,000 Imagine asking for suggestions based on your mood or the time of day. 413 00:15:34,040 --> 00:15:34,760 That would be cool. 414 00:15:34,800 --> 00:15:38,040 It's all about making things more personalized and seamless. 415 00:15:38,080 --> 00:15:40,760 But it also raises those privacy concerns, doesn't it? 416 00:15:40,760 --> 00:15:41,760 Right. 417 00:15:41,800 --> 00:15:43,800 Like we saw with Microsoft's recall feature. 418 00:15:43,840 --> 00:15:46,200 Recording everything you do on your computer is a little creepy. 419 00:15:46,240 --> 00:15:47,200 Understandably so. 420 00:15:47,240 --> 00:15:50,240 It shows that we need to be careful about how we integrate AI. 421 00:15:50,280 --> 00:15:53,160 And have open conversations about the ethical implications. 422 00:15:53,200 --> 00:15:55,040 We need to make sure our privacy is protected. 423 00:15:55,080 --> 00:15:57,000 As AI becomes more powerful. 424 00:15:57,040 --> 00:15:58,840 It's not about being against AI. 425 00:15:58,880 --> 00:16:00,440 It's about being responsible. 426 00:16:00,480 --> 00:16:02,640 Okay, let's go back to embodied AI. 427 00:16:02,680 --> 00:16:03,840 Sounds good. 428 00:16:03,880 --> 00:16:07,320 Meta's work on touch and dexterity is really impressive. 429 00:16:07,360 --> 00:16:08,800 It's mind-blowing, really. 430 00:16:08,800 --> 00:16:11,440 They're pushing the boundaries of what's possible with robots. 431 00:16:11,480 --> 00:16:15,840 Those tactile sensors like MetaSparse and MetaDigit360. 432 00:16:15,880 --> 00:16:19,640 Yeah, it's like they're giving robots a whole new way to experience the world. 433 00:16:19,680 --> 00:16:24,480 It's bringing us closer to robots that can truly feel and understand their environment. 434 00:16:24,520 --> 00:16:30,280 Imagine robots that can perform delicate surgeries or assemble complex electronics. 435 00:16:30,320 --> 00:16:32,640 The possibilities are incredible. 436 00:16:32,680 --> 00:16:35,080 And they're making this technology available to others. 437 00:16:35,120 --> 00:16:36,000 Which is huge. 438 00:16:36,040 --> 00:16:38,480 It's going to accelerate the development of new robots. 439 00:16:38,480 --> 00:16:41,680 And their Partianar benchmark is also important. 440 00:16:41,720 --> 00:16:44,760 Right, focusing on collaboration between humans and robots. 441 00:16:44,800 --> 00:16:46,800 It's not about robots replacing us. 442 00:16:46,840 --> 00:16:48,320 It's about working together. 443 00:16:48,360 --> 00:16:51,520 Augmenting our capabilities and achieving more. 444 00:16:51,560 --> 00:16:52,800 I love that vision. 445 00:16:52,840 --> 00:16:56,320 Now, Descartes Oasis model is another fascinating development. 446 00:16:56,360 --> 00:16:58,200 The one that simulates Minecraft. 447 00:16:58,240 --> 00:17:04,200 It's a great example of how world models can create amazing gaming experiences. 448 00:17:04,240 --> 00:17:06,440 Games that adapt to you and constantly evolve. 449 00:17:06,480 --> 00:17:07,880 It's so cool. 450 00:17:07,880 --> 00:17:10,600 But it also makes me think about the impact on game developers. 451 00:17:10,640 --> 00:17:12,600 Yeah, that's an important consideration. 452 00:17:12,640 --> 00:17:15,440 Will AI become a tool for them or replacement? 453 00:17:15,480 --> 00:17:17,200 It's probably going to be a bit of both. 454 00:17:17,240 --> 00:17:19,120 It's going to change the industry for sure. 455 00:17:19,160 --> 00:17:20,680 And we need to be prepared for that. 456 00:17:20,720 --> 00:17:22,960 And Descartes might have some legal issues to deal with too. 457 00:17:23,000 --> 00:17:24,480 Oh yeah, the copyright stuff. 458 00:17:24,520 --> 00:17:28,480 Training in AI on someone else's work is tricky territory. 459 00:17:28,520 --> 00:17:30,600 Definitely a gray area, legally. 460 00:17:30,640 --> 00:17:33,960 It's another reminder that AI brings up all sorts of new challenges. 461 00:17:34,000 --> 00:17:36,000 And we need to figure out how to navigate them. 462 00:17:36,000 --> 00:17:39,040 Okay, and while Descartes is focused on gaming, 463 00:17:39,080 --> 00:17:42,960 Google is working on generalist robot policies. 464 00:17:43,000 --> 00:17:44,640 Another really exciting area. 465 00:17:44,680 --> 00:17:45,560 What are those exactly? 466 00:17:45,600 --> 00:17:49,000 It's about creating robots that are versatile and adaptable. 467 00:17:49,040 --> 00:17:49,520 Okay. 468 00:17:49,560 --> 00:17:53,120 Like Meta, they want robots that can do lots of different things. 469 00:17:53,160 --> 00:17:58,440 But Google's focus is on AI systems that allow robots to learn and adapt quickly. 470 00:17:58,480 --> 00:18:00,000 So they can handle new situations. 471 00:18:00,040 --> 00:18:00,920 Exactly. 472 00:18:00,960 --> 00:18:03,520 They have this prototype model called Pi Zero. 473 00:18:03,560 --> 00:18:04,320 Pi Zero. 474 00:18:04,320 --> 00:18:07,560 It's been trained on tons of tasks from eight different robots. 475 00:18:07,600 --> 00:18:08,600 Wow, eight. 476 00:18:08,640 --> 00:18:12,280 And it can do everything from folding laundry to assembling boxes. 477 00:18:12,320 --> 00:18:13,120 That's impressive. 478 00:18:13,160 --> 00:18:15,760 They even taught it to learn by watching humans. 479 00:18:15,800 --> 00:18:16,720 That's amazing. 480 00:18:16,760 --> 00:18:20,320 The goal is to make robots that are easier to use and better at working with us. 481 00:18:20,360 --> 00:18:21,280 Like partners, right? 482 00:18:21,320 --> 00:18:22,480 Exactly. 483 00:18:22,520 --> 00:18:26,160 And one of the key things that makes Pi Zero so good at learning... 484 00:18:26,200 --> 00:18:26,760 What's that? 485 00:18:26,800 --> 00:18:31,680 It's something called Internet Scale Vision Language, pre-training. 486 00:18:31,720 --> 00:18:33,320 Okay, that sounds complicated. 487 00:18:33,320 --> 00:18:38,520 It basically means Pi Zero can learn from the vast amount of information on the Internet. 488 00:18:38,560 --> 00:18:40,200 So it has access to all that knowledge? 489 00:18:40,240 --> 00:18:41,040 Yes. 490 00:18:41,080 --> 00:18:44,400 And that helps it understand the world and follow instructions better. 491 00:18:44,440 --> 00:18:45,080 That's incredible. 492 00:18:45,120 --> 00:18:50,000 It's a huge step towards robots that are more intuitive and responsive. 493 00:18:50,040 --> 00:18:51,680 Okay, let's move on to healthcare. 494 00:18:51,720 --> 00:18:52,280 Perfect. 495 00:18:52,320 --> 00:18:57,280 Etaraxis is doing some really amazing work with their AI diagnostic tool. 496 00:18:57,320 --> 00:18:59,320 Etaraxis Breast is a game changer. 497 00:18:59,360 --> 00:19:02,240 It's helping doctors make better decisions about cancer treatment. 498 00:19:02,240 --> 00:19:03,880 And it's incredibly accurate. 499 00:19:03,920 --> 00:19:04,920 Which is so important. 500 00:19:04,960 --> 00:19:09,720 It can analyze tumor images and identify subtle patterns that humans might miss. 501 00:19:09,760 --> 00:19:12,960 So it's like having an AI expert assisting the doctor. 502 00:19:13,000 --> 00:19:15,400 And it could lead to more personalized treatment plans. 503 00:19:15,440 --> 00:19:16,800 And better outcomes for patients. 504 00:19:16,840 --> 00:19:17,680 Exactly. 505 00:19:17,720 --> 00:19:22,160 Less unnecessary treatment, fewer side effects, all thanks to AI. 506 00:19:22,200 --> 00:19:23,040 That's amazing. 507 00:19:23,080 --> 00:19:26,080 They're planning to expand their research to other types of cancer, too. 508 00:19:26,120 --> 00:19:27,280 Lung cancer and melanoma. 509 00:19:27,320 --> 00:19:28,320 Yeah, yes. 510 00:19:28,320 --> 00:19:32,480 And they're exploring ways to integrate their AI with other medical technologies. 511 00:19:32,520 --> 00:19:34,280 To create a more holistic approach. 512 00:19:34,320 --> 00:19:35,520 Exactly. 513 00:19:35,560 --> 00:19:38,760 AI is transforming healthcare in so many ways. 514 00:19:38,800 --> 00:19:43,040 It's giving doctors new tools and empowering them to provide better care. 515 00:19:43,080 --> 00:19:45,160 And it's only going to get more exciting from here. 516 00:19:45,200 --> 00:19:46,960 So we've covered a lot of ground today. 517 00:19:47,000 --> 00:19:50,680 From search and gaming to robotics and healthcare. 518 00:19:50,720 --> 00:19:54,880 We've seen how AI is changing almost every aspect of our lives. 519 00:19:54,920 --> 00:19:56,640 And in the final part of our deep dive. 520 00:19:56,680 --> 00:19:57,600 We'll take a step back. 521 00:19:57,600 --> 00:19:58,840 And look at the bigger picture. 522 00:19:58,880 --> 00:20:01,440 The relationship between humans and machines. 523 00:20:01,480 --> 00:20:06,400 And the ethical considerations we need to address as AI continues to evolve. 524 00:20:07,800 --> 00:20:10,320 Welcome back to the Daily AI News Podcast. 525 00:20:10,360 --> 00:20:12,720 We've talked about some amazing advancements in AI today. 526 00:20:12,760 --> 00:20:15,640 From search to gaming to robotics and healthcare. 527 00:20:15,680 --> 00:20:18,880 Seems like AI is really becoming a part of our lives now. 528 00:20:18,920 --> 00:20:20,480 Not just something from the future. 529 00:20:20,520 --> 00:20:21,120 It really is. 530 00:20:21,160 --> 00:20:23,560 And as we move into this AI driven world. 531 00:20:23,600 --> 00:20:25,440 It's important to think about the bigger picture. 532 00:20:25,480 --> 00:20:27,320 You know, like what does it mean for us? 533 00:20:27,320 --> 00:20:27,920 Exactly. 534 00:20:27,960 --> 00:20:30,120 The relationship between humans and machines. 535 00:20:30,160 --> 00:20:32,120 And all the ethical questions that come with it. 536 00:20:32,160 --> 00:20:32,440 Yeah. 537 00:20:32,480 --> 00:20:33,840 Like we're on a crossroads. 538 00:20:33,880 --> 00:20:37,160 And the decisions we make now will really shape the future of AI. 539 00:20:37,200 --> 00:20:38,640 And how it affects society. 540 00:20:38,680 --> 00:20:39,400 Definitely. 541 00:20:39,440 --> 00:20:41,040 One of the biggest questions is. 542 00:20:41,080 --> 00:20:44,840 As AI gets smarter and can learn and create. 543 00:20:44,880 --> 00:20:46,720 What will our role be? 544 00:20:46,760 --> 00:20:48,200 It's a tough one. 545 00:20:48,240 --> 00:20:52,240 Are we partners, collaborators or maybe even competitors with AI? 546 00:20:52,280 --> 00:20:52,680 Right. 547 00:20:52,720 --> 00:20:53,440 It's hard to say. 548 00:20:53,480 --> 00:20:54,880 But we have to figure it out. 549 00:20:54,880 --> 00:20:59,240 If we want AI to be a force for good, not something that controls us. 550 00:20:59,280 --> 00:21:01,960 It's easy to get excited about new AI features. 551 00:21:02,000 --> 00:21:02,400 Yeah. 552 00:21:02,440 --> 00:21:05,040 But we also need to think about the potential downsides. 553 00:21:05,080 --> 00:21:05,920 Definitely. 554 00:21:05,960 --> 00:21:09,000 AI has the power to solve huge problems. 555 00:21:09,040 --> 00:21:11,280 Like climate change and disease. 556 00:21:11,320 --> 00:21:13,520 But it could also make existing problems worse. 557 00:21:13,560 --> 00:21:15,160 Or create new ones we haven't even thought of. 558 00:21:15,200 --> 00:21:15,440 Right. 559 00:21:15,480 --> 00:21:16,960 So how do we find that balance? 560 00:21:17,000 --> 00:21:20,720 How do we use AI for good while minimizing the risks? 561 00:21:20,760 --> 00:21:22,280 That's the million dollar question. 562 00:21:22,280 --> 00:21:26,760 I think it starts with having open and honest discussions about the ethics of AI. 563 00:21:26,800 --> 00:21:28,280 Bringing everyone to the table. 564 00:21:28,320 --> 00:21:31,800 Technologists, policymakers, ethicists, everyone. 565 00:21:31,840 --> 00:21:35,400 So we can work together to make sure AI is developed and used responsibly. 566 00:21:35,440 --> 00:21:36,080 Exactly. 567 00:21:36,120 --> 00:21:39,000 It's not just about building the coolest, most advanced AI. 568 00:21:39,040 --> 00:21:41,200 It's about making sure it aligns with our values. 569 00:21:41,240 --> 00:21:42,760 And respects our rights. 570 00:21:42,800 --> 00:21:44,680 And makes the world a better place for everyone. 571 00:21:44,720 --> 00:21:50,000 So we need to think carefully about bias, fairness, transparency and accountability. 572 00:21:50,040 --> 00:21:50,360 Yeah. 573 00:21:50,400 --> 00:21:51,520 Those are all crucial. 574 00:21:51,520 --> 00:21:55,520 We need strong safeguards to prevent AI from being misused. 575 00:21:55,560 --> 00:21:56,400 That's a big challenge. 576 00:21:56,440 --> 00:21:58,120 But it's one we can't ignore. 577 00:21:58,160 --> 00:21:59,480 The stakes are just too high. 578 00:21:59,520 --> 00:22:02,280 Now as we wrap up this deep dive into the world of AI. 579 00:22:02,320 --> 00:22:02,720 Yeah. 580 00:22:02,760 --> 00:22:04,560 I want to leave you with something to think about. 581 00:22:04,600 --> 00:22:05,880 Okay. 582 00:22:05,920 --> 00:22:08,840 We've seen how AI is changing everything. 583 00:22:08,880 --> 00:22:11,560 From searching for information to getting health care. 584 00:22:11,600 --> 00:22:13,000 It's amazing how far it's come. 585 00:22:13,040 --> 00:22:18,200 But maybe the most significant impact of AI will be on how we see ourselves. 586 00:22:18,240 --> 00:22:19,040 What do you mean? 587 00:22:19,040 --> 00:22:24,160 As AI becomes more like us, able to learn and reason and create. 588 00:22:24,200 --> 00:22:26,960 It makes us question what it means to be human. 589 00:22:27,000 --> 00:22:27,680 I see. 590 00:22:27,720 --> 00:22:30,320 We have to ask ourselves, what is consciousness? 591 00:22:30,360 --> 00:22:31,480 What is intelligence? 592 00:22:31,520 --> 00:22:33,120 Yeah, those are big questions. 593 00:22:33,160 --> 00:22:35,760 And AI is forcing us to confront them. 594 00:22:35,800 --> 00:22:37,720 Like it's holding up a mirror to humanity. 595 00:22:37,760 --> 00:22:38,520 Exactly. 596 00:22:38,560 --> 00:22:42,360 Making us reflect on our own capabilities and limitations. 597 00:22:42,400 --> 00:22:45,640 And as we continue to integrate AI into our lives. 598 00:22:45,680 --> 00:22:47,600 We have to be open to these questions. 599 00:22:47,600 --> 00:22:49,400 Be willing to challenge our assumptions. 600 00:22:49,440 --> 00:22:50,880 And embrace the unknown. 601 00:22:50,920 --> 00:22:54,720 It's a journey full of both excitement and uncertainty. 602 00:22:54,760 --> 00:22:56,720 But it's one we're all on together. 603 00:22:56,760 --> 00:22:57,840 That's a great way to put it. 604 00:22:57,880 --> 00:23:01,120 So as you think about all the amazing things AI can do. 605 00:23:01,160 --> 00:23:03,240 I encourage you to also consider this. 606 00:23:03,280 --> 00:23:06,880 How do you see the future relationship between humans and machines? 607 00:23:06,920 --> 00:23:08,800 What excites you about the possibilities? 608 00:23:08,840 --> 00:23:10,080 What worries you? 609 00:23:10,120 --> 00:23:16,120 And what role do you want to play in shaping this incredible technological evolution? 610 00:23:16,120 --> 00:23:18,880 Thanks for listening to the Daily AI News Podcast. 611 00:23:18,880 --> 00:23:47,880 And stay tuned for more.