1 00:00:00,000 --> 00:00:02,580 Welcome to the Daily AI News podcast, 2 00:00:02,580 --> 00:00:04,800 ready to dive into the latest AI developments. 3 00:00:04,800 --> 00:00:05,640 Absolutely. 4 00:00:05,640 --> 00:00:07,680 It's amazing how AI is everywhere now. 5 00:00:07,680 --> 00:00:08,940 It really is. 6 00:00:08,940 --> 00:00:10,240 We've got a lot to unpack today, 7 00:00:10,240 --> 00:00:12,760 from energy demands to AI personalities, 8 00:00:12,760 --> 00:00:14,040 so let's get right to it. 9 00:00:14,040 --> 00:00:14,880 Sounds good to me. 10 00:00:14,880 --> 00:00:19,880 First up, the sheer amount of energy this AI boom requires. 11 00:00:20,200 --> 00:00:22,280 Amazon is going nuclear, literally. 12 00:00:22,280 --> 00:00:24,160 They're investing in Xenergy, 13 00:00:24,160 --> 00:00:27,820 a nuclear energy company, to power their data centers. 14 00:00:27,820 --> 00:00:28,680 Did not see that coming. 15 00:00:28,680 --> 00:00:30,200 It's a sign of the times, right? 16 00:00:30,200 --> 00:00:33,760 These massive AI models use a crazy amount of power. 17 00:00:33,760 --> 00:00:36,100 We're talking about cities worth electricity, 18 00:00:36,100 --> 00:00:37,160 not just your phone. 19 00:00:37,160 --> 00:00:38,120 It's mind blowing, 20 00:00:38,120 --> 00:00:39,920 and it looks like Amazon's not alone. 21 00:00:39,920 --> 00:00:41,980 Google's hopping on the nuclear train too, 22 00:00:41,980 --> 00:00:44,040 investing in Kairos power. 23 00:00:44,040 --> 00:00:45,560 It makes you wonder if renewables 24 00:00:45,560 --> 00:00:47,400 can keep up with this AI explosion. 25 00:00:47,400 --> 00:00:48,500 It's a huge question. 26 00:00:48,500 --> 00:00:50,040 Renewables are important for sure, 27 00:00:50,040 --> 00:00:51,560 but they might not be enough on their own. 28 00:00:51,560 --> 00:00:53,480 These tech giants need reliable, 29 00:00:53,480 --> 00:00:55,160 sustainable power sources, 30 00:00:55,160 --> 00:00:57,060 and they're betting on nuclear. 31 00:00:57,060 --> 00:00:58,360 Speaking of keeping up, 32 00:00:58,360 --> 00:00:59,840 Apple might be feeling the heat. 33 00:00:59,840 --> 00:01:02,380 Some say they're falling behind in the AI race, 34 00:01:02,380 --> 00:01:04,480 especially when it comes to large scale development. 35 00:01:04,480 --> 00:01:05,560 What's your take? 36 00:01:05,560 --> 00:01:08,160 Well, Apple's always been big on on-device processing, 37 00:01:08,160 --> 00:01:10,480 keeping data on your phone for privacy, 38 00:01:10,480 --> 00:01:12,360 but that limits the processing power, 39 00:01:12,360 --> 00:01:15,480 especially compared to those massive cloud-based systems 40 00:01:15,480 --> 00:01:17,080 Google and Microsoft use. 41 00:01:17,080 --> 00:01:19,920 So it's privacy versus power, in a way. 42 00:01:19,920 --> 00:01:22,080 Though it seems Apple's making moves, 43 00:01:22,080 --> 00:01:23,640 they're teaming up with open AI 44 00:01:23,640 --> 00:01:25,440 to put GPT-40 into Siri. 45 00:01:25,440 --> 00:01:26,380 Big partnership. 46 00:01:26,380 --> 00:01:28,560 Even giants like Apple are collaborating 47 00:01:28,560 --> 00:01:30,600 to stay ahead in the AI game. 48 00:01:30,600 --> 00:01:32,480 Collaboration seems key, 49 00:01:32,480 --> 00:01:34,520 especially with IBM releasing new 50 00:01:34,520 --> 00:01:37,040 open-source AI models for businesses. 51 00:01:37,040 --> 00:01:38,800 They're going a different route than Microsoft, 52 00:01:38,800 --> 00:01:40,960 who's sticking with paid AI tools. 53 00:01:40,960 --> 00:01:42,360 What's the strategy there? 54 00:01:42,360 --> 00:01:43,400 It's an interesting split. 55 00:01:43,400 --> 00:01:45,560 IBM's all about accessibility. 56 00:01:45,560 --> 00:01:47,520 Open-source lets businesses customize 57 00:01:47,520 --> 00:01:50,160 those AI building blocks without huge fees, 58 00:01:50,160 --> 00:01:52,800 like tailoring a suit instead of buying off the rack. 59 00:01:52,800 --> 00:01:53,640 Makes sense. 60 00:01:53,640 --> 00:01:55,120 So flexibility from IBM, 61 00:01:55,120 --> 00:01:58,760 while Microsoft offers a ready-made solution for a price. 62 00:01:58,760 --> 00:01:59,640 Exactly. 63 00:01:59,640 --> 00:02:01,080 Microsoft's betting businesses 64 00:02:01,080 --> 00:02:02,960 want advanced capabilities out of the box, 65 00:02:02,960 --> 00:02:04,560 saving them time and money. 66 00:02:04,560 --> 00:02:06,360 Both approaches have their merits. 67 00:02:06,360 --> 00:02:08,600 We'll see which wins out as AI takes off. 68 00:02:08,600 --> 00:02:10,840 And it's impacting more than just software. 69 00:02:10,840 --> 00:02:14,080 Marvel's technology, a big name in data center hardware, 70 00:02:14,080 --> 00:02:15,840 is raising prices next year. 71 00:02:15,840 --> 00:02:18,080 They blame it on the demand from all things AI. 72 00:02:18,080 --> 00:02:20,280 Shows how AI is pushing tech to its limits. 73 00:02:20,280 --> 00:02:21,560 It's not just the algorithms, 74 00:02:21,560 --> 00:02:23,640 it's the infrastructure to support them. 75 00:02:23,640 --> 00:02:25,240 AI's impact is everywhere, 76 00:02:25,240 --> 00:02:27,800 from tiny chips to power grids. 77 00:02:27,800 --> 00:02:30,960 But let's switch gears and talk about AI getting personal. 78 00:02:30,960 --> 00:02:33,240 What's apps working on a chat memory feature 79 00:02:33,240 --> 00:02:34,720 using Meta AI? 80 00:02:34,720 --> 00:02:36,960 Imagine a chatbot remembering your favorite things. 81 00:02:36,960 --> 00:02:38,200 Impressive, sure. 82 00:02:38,200 --> 00:02:41,480 But it raises questions about privacy and control. 83 00:02:41,480 --> 00:02:43,760 It's cool if your chatbot knows your coffee order, 84 00:02:43,760 --> 00:02:46,440 but that's a lot of personal info in the hands of AI. 85 00:02:46,440 --> 00:02:48,600 A trade-off we see more and more. 86 00:02:48,600 --> 00:02:50,160 Personalized AI is convenient, 87 00:02:50,160 --> 00:02:52,720 but it costs us some control over our data. 88 00:02:52,720 --> 00:02:56,120 And speaking of AI in unexpected places, there's Throne. 89 00:02:56,120 --> 00:02:58,480 Using AI to analyze, well, 90 00:02:58,480 --> 00:03:00,760 let's just say a very personal aspect of health. 91 00:03:00,760 --> 00:03:01,680 Throne's out there, 92 00:03:01,680 --> 00:03:05,160 but it proves how diverse AI applications are. 93 00:03:05,160 --> 00:03:07,280 It also highlights the need for strong ethics 94 00:03:07,280 --> 00:03:08,640 and data security, 95 00:03:08,640 --> 00:03:12,240 especially with sensitive stuff like health information. 96 00:03:12,240 --> 00:03:14,600 Yeah, you've got to be careful with that stuff. 97 00:03:14,600 --> 00:03:16,840 And that line kind of gets even blurrier 98 00:03:16,840 --> 00:03:19,040 when you think about AI and the internet. 99 00:03:19,040 --> 00:03:22,080 This startup, Perplexity AI, 100 00:03:22,080 --> 00:03:23,560 they're all about AI search, 101 00:03:23,560 --> 00:03:26,400 and people are saying they could be worth $9 billion. 102 00:03:26,400 --> 00:03:29,040 $9 billion, that's a lot of faith in their tech. 103 00:03:29,040 --> 00:03:30,680 What makes them so special? 104 00:03:30,680 --> 00:03:31,720 Are they going after Google? 105 00:03:31,720 --> 00:03:33,880 Oh, they're shaking things up for sure. 106 00:03:33,880 --> 00:03:37,160 Perplexity is not like your regular search engine 107 00:03:37,160 --> 00:03:38,800 with typing keywords and all that. 108 00:03:38,800 --> 00:03:41,400 It's more like you have a conversation with it. 109 00:03:41,400 --> 00:03:42,960 Hold on, I'm talking to my search engine now. 110 00:03:42,960 --> 00:03:44,560 Sounds pretty futuristic. 111 00:03:44,560 --> 00:03:46,640 Like having my own research assistant or something. 112 00:03:46,640 --> 00:03:47,840 That's the idea. 113 00:03:47,840 --> 00:03:49,400 AI search should make things easier, 114 00:03:49,400 --> 00:03:50,680 understand what you really mean, 115 00:03:50,680 --> 00:03:52,760 and find the right stuff faster. 116 00:03:52,760 --> 00:03:56,240 But of course, new tech means new ethical dilemmas, 117 00:03:56,240 --> 00:03:59,120 especially with how AI handles images and stuff. 118 00:03:59,120 --> 00:04:00,840 Right, that's a whole other can of worms. 119 00:04:00,840 --> 00:04:04,200 Actually, mid-journey, they do AI image generation, right? 120 00:04:04,200 --> 00:04:05,040 Yeah. 121 00:04:05,040 --> 00:04:06,200 They're releasing this web tool 122 00:04:06,200 --> 00:04:07,640 for editing images with AI. 123 00:04:07,640 --> 00:04:08,480 It could be huge. 124 00:04:08,480 --> 00:04:09,320 Yeah. 125 00:04:09,320 --> 00:04:10,600 Or disaster waiting to happen. 126 00:04:10,600 --> 00:04:11,680 Exactly. 127 00:04:11,680 --> 00:04:12,800 It's exciting, sure. 128 00:04:12,800 --> 00:04:15,320 But imagine how easy it'll be to make deep fakes 129 00:04:15,320 --> 00:04:16,680 or spread misinformation. 130 00:04:16,680 --> 00:04:18,360 Yeah, it's getting harder to tell 131 00:04:18,360 --> 00:04:20,200 what's real online these days. 132 00:04:20,200 --> 00:04:23,560 It's got to have a huge impact on trust and all that. 133 00:04:23,560 --> 00:04:25,000 And speaking of impact, 134 00:04:25,000 --> 00:04:27,640 let's talk about AI in the business world. 135 00:04:27,640 --> 00:04:30,320 There was that report about companies seeing AI 136 00:04:30,320 --> 00:04:32,600 as this big competitive advantage. 137 00:04:32,600 --> 00:04:33,440 Oh, absolutely. 138 00:04:33,440 --> 00:04:36,640 AI can analyze tons of data, automate tasks, 139 00:04:36,640 --> 00:04:38,640 create personalized experiences. 140 00:04:38,640 --> 00:04:41,640 It's revolutionizing everything from healthcare to retail. 141 00:04:41,640 --> 00:04:43,480 We're talking a complete shift 142 00:04:43,480 --> 00:04:45,280 with companies using AI to innovate 143 00:04:45,280 --> 00:04:46,680 and change the game entirely. 144 00:04:46,680 --> 00:04:48,280 Sounds like if you're not using AI, 145 00:04:48,280 --> 00:04:49,960 you're gonna get left behind. 146 00:04:49,960 --> 00:04:52,320 But with all this power comes responsibility, right? 147 00:04:52,320 --> 00:04:53,640 We need ethical guidelines, 148 00:04:53,640 --> 00:04:54,960 make sure AI is used for good 149 00:04:54,960 --> 00:04:56,480 and doesn't go off the rails. 150 00:04:56,480 --> 00:04:57,600 Couldn't agree more. 151 00:04:57,600 --> 00:05:00,080 With AI becoming so ingrained in our lives, 152 00:05:00,080 --> 00:05:01,960 ethics are paramount. 153 00:05:01,960 --> 00:05:05,440 Data privacy, algorithmic transparency, fairness, 154 00:05:05,440 --> 00:05:07,600 we need to address those issues head-on 155 00:05:07,600 --> 00:05:10,760 to prevent bias and unintended consequences. 156 00:05:10,760 --> 00:05:12,560 It's a fine line to walk, isn't it? 157 00:05:12,560 --> 00:05:15,720 Harnessing the power of AI while keeping it in check. 158 00:05:15,720 --> 00:05:16,800 Now, on a lighter note, 159 00:05:16,800 --> 00:05:17,720 what about this whole thing 160 00:05:17,720 --> 00:05:19,880 with giving chatbots personalities? 161 00:05:19,880 --> 00:05:21,640 Trying to make AI more relatable, 162 00:05:21,640 --> 00:05:23,040 giving it that human touch? 163 00:05:23,040 --> 00:05:24,440 Fascinating stuff. 164 00:05:24,440 --> 00:05:27,040 The goal is to make interacting with AI 165 00:05:27,040 --> 00:05:29,160 more like interacting with another person. 166 00:05:29,160 --> 00:05:32,560 Add in things like kindness, humor, even a bit of wit. 167 00:05:32,560 --> 00:05:33,840 It's a fascinating concept. 168 00:05:33,840 --> 00:05:35,320 Almost like we're blurring the lines 169 00:05:35,320 --> 00:05:37,280 between interacting with a machine 170 00:05:37,280 --> 00:05:39,280 and interacting with another person. 171 00:05:39,280 --> 00:05:41,200 But how do you even begin to teach a machine 172 00:05:41,200 --> 00:05:43,880 about something as nuanced as kindness or humor? 173 00:05:43,880 --> 00:05:45,640 It seems like a monumental task. 174 00:05:45,640 --> 00:05:46,800 It's tricky, that's for sure. 175 00:05:46,800 --> 00:05:48,240 It's not like you can just program, 176 00:05:48,240 --> 00:05:49,960 be kind and call it a day. 177 00:05:49,960 --> 00:05:52,760 You need complex data sets, algorithms, feedback loops. 178 00:05:52,760 --> 00:05:55,400 It's got to learn how to replicate those human qualities. 179 00:05:55,400 --> 00:05:58,160 So you're saying we feed the AI mountains of data 180 00:05:58,160 --> 00:05:59,320 on human interaction, 181 00:05:59,320 --> 00:06:01,360 like analyzing conversations in movies. 182 00:06:01,360 --> 00:06:02,640 That's part of it, yeah. 183 00:06:02,640 --> 00:06:05,080 Expose it to tons of examples of those traits. 184 00:06:05,080 --> 00:06:06,200 But it's not just mimicking, 185 00:06:06,200 --> 00:06:09,040 it has to understand the context, the nuances, 186 00:06:09,040 --> 00:06:11,160 the emotional stuff that goes with it. 187 00:06:11,160 --> 00:06:12,680 What's funny in one situation 188 00:06:12,680 --> 00:06:14,520 might be totally wrong in another. 189 00:06:14,520 --> 00:06:16,920 It's like teaching AI to read between the lines 190 00:06:16,920 --> 00:06:18,600 of human communication. 191 00:06:18,600 --> 00:06:20,440 Kind of a scary thought, actually. 192 00:06:20,440 --> 00:06:22,680 Are we opening Pandora's box here? 193 00:06:22,680 --> 00:06:24,800 What happens if we give machines personalities 194 00:06:24,800 --> 00:06:25,920 and at backfires? 195 00:06:25,920 --> 00:06:27,080 That's a huge concern. 196 00:06:27,080 --> 00:06:29,160 One big issue is bias. 197 00:06:29,160 --> 00:06:32,520 If the data used to train these AI personalities is flawed, 198 00:06:32,520 --> 00:06:34,440 you end up with AI that's prejudiced 199 00:06:34,440 --> 00:06:36,440 or reinforces harmful stereotypes. 200 00:06:36,440 --> 00:06:39,480 So we can't just make AI more human-like. 201 00:06:39,480 --> 00:06:41,560 It has to be done responsibly, fairly, 202 00:06:41,560 --> 00:06:43,520 without making existing biases worse. 203 00:06:43,520 --> 00:06:44,520 Exactly. 204 00:06:44,520 --> 00:06:46,640 As we explore this new territory of AI 205 00:06:46,640 --> 00:06:49,640 with personalities, we've got to be cautious. 206 00:06:49,640 --> 00:06:52,080 Transparency and development is key. 207 00:06:52,080 --> 00:06:56,000 And safeguards are a must to prevent misuse or manipulation. 208 00:06:56,000 --> 00:06:57,000 A lot to think about. 209 00:06:57,000 --> 00:06:58,640 It seems like every AI advancement 210 00:06:58,640 --> 00:07:00,960 brings new opportunities and new challenges. 211 00:07:00,960 --> 00:07:02,120 We're just starting to understand 212 00:07:02,120 --> 00:07:04,200 how this technology will reshape our world. 213 00:07:04,200 --> 00:07:07,120 It's a wild ride for sure, and it's only getting faster. 214 00:07:07,120 --> 00:07:08,200 It certainly is. 215 00:07:08,200 --> 00:07:09,800 Thanks for joining us for this deep dive 216 00:07:09,800 --> 00:07:11,040 into the world of AI. 217 00:07:11,040 --> 00:07:13,720 Until next time, stay informed and stay engaged. 218 00:07:13,720 --> 00:07:16,800 This is the Daily AI News Podcast, signing off.