1 00:00:00,000 --> 00:00:02,440 All right, so today we're diving into something 2 00:00:02,440 --> 00:00:03,720 pretty fascinating, I think. 3 00:00:03,720 --> 00:00:05,720 It's China's AI scene, 4 00:00:05,720 --> 00:00:07,860 and specifically this company DeepSeek 5 00:00:07,860 --> 00:00:12,480 that's really making waves as a potential rival 6 00:00:12,480 --> 00:00:16,360 to the big players like OpenAI and their chat GPT. 7 00:00:18,860 --> 00:00:19,880 And for this deep dive, 8 00:00:19,880 --> 00:00:22,160 we're really trying to just get a handle 9 00:00:22,160 --> 00:00:25,240 on who the players are, what the tech looks like, 10 00:00:25,240 --> 00:00:28,520 and what it all might mean for everyone. 11 00:00:28,520 --> 00:00:30,200 And our main source for this deep dive 12 00:00:30,200 --> 00:00:32,880 is this piece called China's DeepSeek D-throne's 13 00:00:32,880 --> 00:00:35,320 chat GPT US worst nightmare. 14 00:00:35,320 --> 00:00:36,160 Okay. 15 00:00:36,160 --> 00:00:37,400 So as you can tell from that title, 16 00:00:37,400 --> 00:00:39,640 it's a very strongly worded piece. 17 00:00:39,640 --> 00:00:41,040 It is a strong opinion, yeah. 18 00:00:41,040 --> 00:00:42,920 You know, the AI world changes so fast, 19 00:00:42,920 --> 00:00:45,720 it feels like just yesterday OpenAI's chat GPT 20 00:00:45,720 --> 00:00:47,560 was the only game in town, 21 00:00:47,560 --> 00:00:50,000 revolutionizing everything practically overnight. 22 00:00:50,000 --> 00:00:51,200 It really was, the game changer. 23 00:00:51,200 --> 00:00:53,400 I mean, you've got Goldman Sachs using AI now 24 00:00:53,400 --> 00:00:56,600 to write up entire IPO prospectuses in minutes. 25 00:00:56,600 --> 00:00:57,440 Wow. 26 00:00:57,440 --> 00:00:58,240 Things that used to take weeks, 27 00:00:58,240 --> 00:00:59,520 and now it's just poof, done. 28 00:00:59,520 --> 00:01:00,360 Yeah. 29 00:01:00,360 --> 00:01:01,800 It's both incredible and a little bit, 30 00:01:01,800 --> 00:01:04,040 you know, what does this mean for the future of jobs? 31 00:01:04,040 --> 00:01:06,040 Exactly, that's the big question, isn't it? 32 00:01:06,040 --> 00:01:09,920 AI's potential for boosting efficiency is undeniable. 33 00:01:09,920 --> 00:01:11,720 But it definitely raises concerns 34 00:01:11,720 --> 00:01:13,600 about potential job displacement. 35 00:01:13,600 --> 00:01:15,800 We're only just beginning to understand 36 00:01:15,800 --> 00:01:18,600 the wider societal impact of these advancements. 37 00:01:18,600 --> 00:01:23,040 And into this already like rapidly changing world, 38 00:01:23,040 --> 00:01:25,720 comes DeepSeek, this Chinese startup 39 00:01:25,720 --> 00:01:28,120 that seems to have come out of nowhere. 40 00:01:28,120 --> 00:01:31,320 And their DeepSeek R1 model 41 00:01:31,320 --> 00:01:33,960 can handle incredibly complex tasks, 42 00:01:33,960 --> 00:01:36,200 things like advanced math and coding. 43 00:01:36,200 --> 00:01:37,040 Right. 44 00:01:37,040 --> 00:01:38,040 And it's already performing at a level 45 00:01:38,040 --> 00:01:39,720 comparable to chat GPT. 46 00:01:39,720 --> 00:01:40,840 It is, it's impressive. 47 00:01:40,840 --> 00:01:41,680 Well, it's really crazy, 48 00:01:41,680 --> 00:01:43,080 as they seem to have developed this 49 00:01:43,080 --> 00:01:44,360 in a fraction of the time. 50 00:01:44,360 --> 00:01:45,200 Yeah. 51 00:01:45,200 --> 00:01:46,440 And at a tiny fraction of the cost. 52 00:01:46,440 --> 00:01:48,560 That's the detail that has everyone buzzing. 53 00:01:48,560 --> 00:01:50,920 The reports suggest DeepSeek developed R1 54 00:01:50,920 --> 00:01:53,080 for something like $6 million. 55 00:01:53,080 --> 00:01:53,920 Yeah. 56 00:01:53,920 --> 00:01:54,880 To put that in perspective, 57 00:01:54,880 --> 00:01:59,160 OpenAI's annual budget is $5 billion. 58 00:01:59,160 --> 00:02:01,640 That's a difference of about 800 times cheaper. 59 00:02:01,640 --> 00:02:03,040 Oh my gosh. 60 00:02:03,040 --> 00:02:05,000 It's no surprise that people are paying attention. 61 00:02:05,000 --> 00:02:07,160 Really, it's like a classic David and Goliath story, 62 00:02:07,160 --> 00:02:09,600 but in the world of cutting edge AI, 63 00:02:09,600 --> 00:02:11,720 and it gets even wilder. 64 00:02:11,720 --> 00:02:14,720 DeepSeek's model is incredibly energy efficient. 65 00:02:14,720 --> 00:02:15,560 Oh, wow. 66 00:02:15,560 --> 00:02:17,280 They don't need as many of those power hungry 67 00:02:17,280 --> 00:02:20,600 NVIDIA GPUs, which are essential for AI training. 68 00:02:20,600 --> 00:02:21,440 Yeah. 69 00:02:21,440 --> 00:02:22,720 That's good news for both the environment 70 00:02:22,720 --> 00:02:24,160 and their operating costs. 71 00:02:24,160 --> 00:02:25,600 This is especially noteworthy, 72 00:02:25,600 --> 00:02:27,960 given the Biden administration's limitations 73 00:02:27,960 --> 00:02:31,400 on the sale of those very same NVIDIA chips to China. 74 00:02:31,400 --> 00:02:32,240 Right. 75 00:02:32,240 --> 00:02:34,720 The fact that DeepSeek can innovate and thrive, 76 00:02:34,720 --> 00:02:36,200 despite these restrictions, 77 00:02:36,200 --> 00:02:38,680 is a pretty clear sign of their capabilities. 78 00:02:38,680 --> 00:02:40,320 And then there's the fundamental difference 79 00:02:40,320 --> 00:02:41,320 between the two companies. 80 00:02:41,320 --> 00:02:42,160 Okay. 81 00:02:42,160 --> 00:02:44,400 Open source versus closed system. 82 00:02:44,400 --> 00:02:47,480 DeepSeek R1 is completely open source licensed 83 00:02:47,480 --> 00:02:49,240 under the MIT license, 84 00:02:49,240 --> 00:02:51,840 which essentially means anyone can use it, modify it, 85 00:02:51,840 --> 00:02:54,120 even sell it commercially, all for free. 86 00:02:54,120 --> 00:02:54,960 Sure. 87 00:02:54,960 --> 00:02:56,280 ChatGPT, on the other hand, 88 00:02:56,280 --> 00:02:58,800 operates within a tightly controlled closed system 89 00:02:58,800 --> 00:03:00,200 owned by open AI. 90 00:03:00,200 --> 00:03:01,040 Right. 91 00:03:01,040 --> 00:03:02,560 That's a pretty huge difference in philosophy. 92 00:03:02,560 --> 00:03:04,960 It is DeepSeek's open source approach 93 00:03:04,960 --> 00:03:07,440 really promotes collaboration and transparency. 94 00:03:07,440 --> 00:03:08,280 Yeah. 95 00:03:08,280 --> 00:03:09,360 Allowing for rapid innovation. 96 00:03:09,360 --> 00:03:11,800 It's a direct challenge to the current dominance 97 00:03:11,800 --> 00:03:13,560 of closed AI systems. 98 00:03:13,560 --> 00:03:15,320 So what does all of this mean? 99 00:03:15,320 --> 00:03:19,000 Well, our source article with that pretty dramatic title 100 00:03:19,000 --> 00:03:22,760 argues that DeepSeek's emergence is a turning point 101 00:03:22,760 --> 00:03:26,080 in the ongoing tech competition between the US and China. 102 00:03:26,080 --> 00:03:29,240 It's certainly a development that shouldn't be ignored. 103 00:03:29,240 --> 00:03:31,880 The US security apparatus has been expressing concerns 104 00:03:31,880 --> 00:03:35,200 about China overtaking the US and AI capabilities 105 00:03:35,200 --> 00:03:36,520 for a while now. 106 00:03:36,520 --> 00:03:37,360 Right. 107 00:03:37,360 --> 00:03:40,280 And DeepSeek's quick rise just adds more fuel to that fire. 108 00:03:40,280 --> 00:03:42,000 This also highlights the different strategies 109 00:03:42,000 --> 00:03:43,000 that two countries are using. 110 00:03:43,000 --> 00:03:43,840 Yeah. 111 00:03:43,840 --> 00:03:45,680 The US largely depends on private companies 112 00:03:45,680 --> 00:03:47,400 to lead AI innovation, 113 00:03:47,400 --> 00:03:50,160 while China has been using centralized planning 114 00:03:50,160 --> 00:03:52,080 and government funding to push things forward. 115 00:03:52,080 --> 00:03:52,920 Yeah. 116 00:03:52,920 --> 00:03:54,320 It's a clash of ideologies playing out 117 00:03:54,320 --> 00:03:56,000 on the global stage of technology 118 00:03:56,000 --> 00:03:58,040 and the stakes couldn't be higher. 119 00:03:58,040 --> 00:03:59,800 The country that takes the lead in AI 120 00:03:59,800 --> 00:04:01,760 will likely have a massive influence 121 00:04:01,760 --> 00:04:04,560 on the global balance of power over the next few decades. 122 00:04:04,560 --> 00:04:05,680 It's a lot to consider. 123 00:04:05,680 --> 00:04:06,520 Absolutely. 124 00:04:06,520 --> 00:04:08,520 It's like we're watching a high stakes chess match play out. 125 00:04:08,520 --> 00:04:09,360 Yeah. 126 00:04:09,360 --> 00:04:11,320 And DeepSeek just made a very bold move. 127 00:04:11,320 --> 00:04:14,520 But as with any new player entering the game, 128 00:04:14,520 --> 00:04:17,640 there are still questions about their staying power. 129 00:04:17,640 --> 00:04:19,320 What do you think are some of the biggest challenges 130 00:04:19,320 --> 00:04:20,720 DeepSeek might face? 131 00:04:20,720 --> 00:04:24,680 One major challenge could be access to data. 132 00:04:24,680 --> 00:04:28,040 China's internet has significant restrictions in place, 133 00:04:28,040 --> 00:04:30,640 which limits how much data Chinese companies 134 00:04:30,640 --> 00:04:32,880 can use to train their AI models. 135 00:04:32,880 --> 00:04:35,240 So even though they've accomplished some incredible things 136 00:04:35,240 --> 00:04:37,560 with the data they do have access to, 137 00:04:37,560 --> 00:04:39,800 could those limitations eventually hold them back? 138 00:04:39,800 --> 00:04:40,640 Potentially. 139 00:04:40,640 --> 00:04:41,480 Yeah. 140 00:04:41,480 --> 00:04:42,480 It's certainly something to watch closely. 141 00:04:42,480 --> 00:04:43,320 It really does. 142 00:04:43,320 --> 00:04:46,600 It makes you think about, will we see more AI companies 143 00:04:46,600 --> 00:04:50,200 taking the sort of leaner, more efficient approach? 144 00:04:50,200 --> 00:04:51,320 It's certainly fascinating. 145 00:04:51,320 --> 00:04:52,000 It is. 146 00:04:52,000 --> 00:04:53,760 And speaking of fascinating developments, 147 00:04:53,760 --> 00:04:56,720 let's dig into this open source versus closed system. 148 00:04:56,720 --> 00:04:57,200 OK. 149 00:04:57,200 --> 00:04:58,600 Debate a bit more. 150 00:04:58,600 --> 00:05:00,320 You touched on some of the implications earlier, 151 00:05:00,320 --> 00:05:02,720 but I'm curious to get your take on how this difference 152 00:05:02,720 --> 00:05:06,360 in philosophy could impact the future of AI development. 153 00:05:06,360 --> 00:05:08,040 It's a fundamental shift. 154 00:05:08,040 --> 00:05:11,040 And I think it has the potential to be truly transformative. 155 00:05:11,040 --> 00:05:11,640 Sure. 156 00:05:11,640 --> 00:05:14,400 DeepSeek's decision to make R1 open source 157 00:05:14,400 --> 00:05:16,760 is essentially like a challenge. 158 00:05:16,760 --> 00:05:19,200 To the established model of AI development, 159 00:05:19,200 --> 00:05:21,680 where companies keep their code and algorithms tightly 160 00:05:21,680 --> 00:05:22,760 under wraps. 161 00:05:22,760 --> 00:05:24,840 It's like they're saying, hey, let's all work together 162 00:05:24,840 --> 00:05:27,720 on this, which sounds great in theory, 163 00:05:27,720 --> 00:05:30,600 but I imagine some people are skeptical. 164 00:05:30,600 --> 00:05:33,480 What are the potential downsides to this approach? 165 00:05:33,480 --> 00:05:35,200 There are definitely valid concerns. 166 00:05:35,200 --> 00:05:39,160 One of the biggest is the potential for misuse. 167 00:05:39,160 --> 00:05:41,440 If anyone can access and modify the code, 168 00:05:41,440 --> 00:05:43,920 there's always the risk that it could be used 169 00:05:43,920 --> 00:05:47,720 for malicious purposes, like developing autonomous weapons 170 00:05:47,720 --> 00:05:49,960 or creating even more sophisticated surveillance 171 00:05:49,960 --> 00:05:50,760 systems. 172 00:05:50,760 --> 00:05:52,560 That's a sobering thought. 173 00:05:52,560 --> 00:05:55,280 It seems like we're entering uncharted territory here, 174 00:05:55,280 --> 00:05:57,480 and we need to start thinking about how to navigate these 175 00:05:57,480 --> 00:05:59,400 ethical and societal implications. 176 00:05:59,400 --> 00:06:00,280 Absolutely. 177 00:06:00,280 --> 00:06:03,880 The rapid pace of AI development is both exciting and daunting. 178 00:06:03,880 --> 00:06:05,840 It's crucial that we as a global community 179 00:06:05,840 --> 00:06:08,880 engage in open and honest discussions about these issues. 180 00:06:08,880 --> 00:06:11,280 We need to find ways to balance the incredible potential 181 00:06:11,280 --> 00:06:14,360 of AI with the need for responsible development and use. 182 00:06:14,360 --> 00:06:16,320 It's a lot to consider. 183 00:06:16,320 --> 00:06:19,560 And it's easy to feel overwhelmed by the sheer scale 184 00:06:19,560 --> 00:06:21,440 and complexity of it all. 185 00:06:21,440 --> 00:06:22,880 But I think it's important to remember 186 00:06:22,880 --> 00:06:26,600 that we all have a role to play in shaping the future of AI. 187 00:06:26,600 --> 00:06:28,800 It's not just up to governments and tech companies. 188 00:06:28,800 --> 00:06:31,960 It's a conversation that needs to involve everyone. 189 00:06:31,960 --> 00:06:33,280 I completely agree. 190 00:06:33,280 --> 00:06:35,640 We need diverse perspectives and voices at the table 191 00:06:35,640 --> 00:06:37,880 to ensure that AI is developed and used in a way that 192 00:06:37,880 --> 00:06:39,760 benefits all of humanity. 193 00:06:39,760 --> 00:06:41,640 That means having conversations like this one 194 00:06:41,640 --> 00:06:43,280 where we can explore the complexities, 195 00:06:43,280 --> 00:06:45,120 weigh the potential benefits and risks, 196 00:06:45,120 --> 00:06:47,240 and ultimately make informed choices about the future 197 00:06:47,240 --> 00:06:48,400 we want to create. 198 00:06:48,400 --> 00:06:49,920 So where do we go from here? 199 00:06:49,920 --> 00:06:51,560 What are the most important questions 200 00:06:51,560 --> 00:06:53,400 we should be asking ourselves as we move forward 201 00:06:53,400 --> 00:06:55,200 in this brave new world of AI? 202 00:06:55,200 --> 00:06:56,320 There are so many. 203 00:06:56,320 --> 00:06:58,040 But I think one of the most pressing 204 00:06:58,040 --> 00:07:01,440 is how do we ensure that AI development prioritizes 205 00:07:01,440 --> 00:07:04,080 human well-being and societal good? 206 00:07:04,080 --> 00:07:05,880 It's easy to get caught up in the hype 207 00:07:05,880 --> 00:07:07,680 and the technological advancements. 208 00:07:07,680 --> 00:07:10,320 But we need to remember that AI is a tool. 209 00:07:10,320 --> 00:07:13,360 And any tool, it can be used for good or for ill. 210 00:07:13,360 --> 00:07:17,200 That brings us back to DeepSeek's decision to go open source. 211 00:07:17,200 --> 00:07:18,720 They're essentially betting on the idea 212 00:07:18,720 --> 00:07:21,080 that collaboration and transparency 213 00:07:21,080 --> 00:07:24,720 will lead to more positive outcomes for AI development. 214 00:07:24,720 --> 00:07:25,800 Do you think you're right? 215 00:07:25,800 --> 00:07:27,240 It's a gamble for sure. 216 00:07:27,240 --> 00:07:30,520 But it's a gamble that I find incredibly hopeful. 217 00:07:30,520 --> 00:07:33,440 By making their technology accessible to everyone, 218 00:07:33,440 --> 00:07:35,800 DeepSeek is inviting the world to participate 219 00:07:35,800 --> 00:07:38,200 in shaping the future of AI. 220 00:07:38,200 --> 00:07:40,880 They're saying that this isn't just about profit or dominance. 221 00:07:40,880 --> 00:07:42,600 It's about working together to unlock 222 00:07:42,600 --> 00:07:44,320 the incredible potential of AI 223 00:07:44,320 --> 00:07:46,760 to solve some of the world's most pressing problems. 224 00:07:46,760 --> 00:07:48,320 It's a powerful vision. 225 00:07:48,320 --> 00:07:51,480 And it's one that I think resonates deeply with many people. 226 00:07:51,480 --> 00:07:52,840 But it's also important to acknowledge 227 00:07:52,840 --> 00:07:55,600 that open source isn't a magic bullet. 228 00:07:55,600 --> 00:07:57,960 There are still challenges and risks to consider. 229 00:07:57,960 --> 00:07:58,720 Exactly. 230 00:07:58,720 --> 00:08:00,600 Open source doesn't automatically guarantee 231 00:08:00,600 --> 00:08:02,840 ethical development or responsible use. 232 00:08:02,840 --> 00:08:05,040 We still want to be vigilant about potential misuse 233 00:08:05,040 --> 00:08:07,200 and we need to develop strong ethical frameworks 234 00:08:07,200 --> 00:08:09,640 and guidelines for AI development and deployment. 235 00:08:09,640 --> 00:08:11,880 So it's not just about making the technology open. 236 00:08:11,880 --> 00:08:14,680 It's also about fostering a culture of responsibility 237 00:08:14,680 --> 00:08:17,200 and collaboration within the AI community. 238 00:08:17,200 --> 00:08:18,600 That's exactly right. 239 00:08:18,600 --> 00:08:20,840 We need to create an environment where developers, 240 00:08:20,840 --> 00:08:23,280 researchers, policymakers, and the public 241 00:08:23,280 --> 00:08:26,160 can work together to ensure that AI is developed 242 00:08:26,160 --> 00:08:28,520 and used in a way that benefits everyone. 243 00:08:28,520 --> 00:08:30,520 This is a collective effort. 244 00:08:30,520 --> 00:08:32,440 And it's one that requires open dialogue, 245 00:08:32,440 --> 00:08:34,760 critical thinking, and a shared commitment 246 00:08:34,760 --> 00:08:36,240 to creating a better future. 247 00:08:36,240 --> 00:08:39,960 It's a tall order, but it's one that we can't afford to ignore. 248 00:08:39,960 --> 00:08:41,720 The stakes are simply too high. 249 00:08:41,720 --> 00:08:44,040 And that brings us back to you, our listener. 250 00:08:44,040 --> 00:08:45,400 What are your thoughts on all of this? 251 00:08:45,400 --> 00:08:49,040 What hopes and concerns do you have about the future of AI? 252 00:08:49,040 --> 00:08:50,840 We'd love to hear your perspective. 253 00:08:50,840 --> 00:08:52,560 Let's keep this conversation going. 254 00:08:52,560 --> 00:08:55,520 Your insights and ideas are invaluable as we navigate 255 00:08:55,520 --> 00:08:57,240 this rapidly evolving landscape. 256 00:08:57,240 --> 00:08:59,480 Now, there's another crucial aspect of this depth seek 257 00:08:59,480 --> 00:09:01,080 story that we need to address. 258 00:09:01,080 --> 00:09:02,560 It's something that often gets overlooked 259 00:09:02,560 --> 00:09:05,320 in the excitement surrounding their open source model. 260 00:09:05,320 --> 00:09:07,360 And it could have a significant impact 261 00:09:07,360 --> 00:09:08,760 on their long term success. 262 00:09:08,760 --> 00:09:10,520 Well, you're talking about the data access issue, right? 263 00:09:10,520 --> 00:09:12,360 It is. It's a potential problem for them. 264 00:09:12,360 --> 00:09:14,120 They've got this incredible tech. 265 00:09:14,120 --> 00:09:16,840 But will they be able to feed it with enough information 266 00:09:16,840 --> 00:09:18,320 to really grow and keep up? 267 00:09:18,320 --> 00:09:19,280 Exactly. 268 00:09:19,280 --> 00:09:20,880 And speaking of information, let's 269 00:09:20,880 --> 00:09:25,360 circle back to that provocative question we posed earlier. 270 00:09:25,360 --> 00:09:28,560 Will deep seeks open source model ultimately 271 00:09:28,560 --> 00:09:31,400 accelerate global AI development? 272 00:09:31,400 --> 00:09:35,600 Or will these data access limitations 273 00:09:35,600 --> 00:09:40,680 be a major roadblock for Chinese AI advancement? 274 00:09:40,680 --> 00:09:42,200 It's tough to say for sure. 275 00:09:42,200 --> 00:09:44,480 On the one hand, deep seeks approach 276 00:09:44,480 --> 00:09:47,040 really could democratize AI technology 277 00:09:47,040 --> 00:09:49,560 and encourage global collaboration. 278 00:09:49,560 --> 00:09:52,000 But then you've got these internet restrictions in China 279 00:09:52,000 --> 00:09:54,840 that could make it harder for them to train their models 280 00:09:54,840 --> 00:09:56,440 and keep pace with the competition. 281 00:09:56,440 --> 00:09:57,800 It's a tough spot for them to be in. 282 00:09:57,800 --> 00:09:59,400 They've made such incredible progress. 283 00:09:59,400 --> 00:10:01,800 But can they keep that up in the long term? 284 00:10:01,800 --> 00:10:02,720 We'll have to wait and see. 285 00:10:02,720 --> 00:10:04,120 It's going to be really interesting to watch 286 00:10:04,120 --> 00:10:05,240 how this all plays out. 287 00:10:05,240 --> 00:10:06,120 It will. 288 00:10:06,120 --> 00:10:09,240 And I think it's a reminder that AI development isn't 289 00:10:09,240 --> 00:10:11,720 just a technological race. 290 00:10:11,720 --> 00:10:13,640 It's a geopolitical one too. 291 00:10:13,640 --> 00:10:15,520 The choices that governments and companies 292 00:10:15,520 --> 00:10:18,720 make about things like data access regulation 293 00:10:18,720 --> 00:10:21,480 and collaboration are going to have a huge impact 294 00:10:21,480 --> 00:10:22,560 on the future of AI. 295 00:10:22,560 --> 00:10:23,800 They really will. 296 00:10:23,800 --> 00:10:28,480 It's playing out right now with the US-China tech rivalry. 297 00:10:28,480 --> 00:10:31,880 Both countries see AI as a strategic priority. 298 00:10:31,880 --> 00:10:33,400 And they're really battling it out 299 00:10:33,400 --> 00:10:35,280 for leadership in this field. 300 00:10:35,280 --> 00:10:37,600 DeepSeek's emergence is a pretty clear sign 301 00:10:37,600 --> 00:10:39,320 that China is a serious contender. 302 00:10:39,320 --> 00:10:39,960 It is. 303 00:10:39,960 --> 00:10:42,280 And it's forcing the US to kind of set up their game. 304 00:10:42,280 --> 00:10:42,880 For sure. 305 00:10:42,880 --> 00:10:44,600 So where does this leave us? 306 00:10:44,600 --> 00:10:46,520 What are the key takeaways for our listeners 307 00:10:46,520 --> 00:10:48,920 as we wrap up this DeepSeek deep dive 308 00:10:48,920 --> 00:10:51,040 and our look at the future of AI? 309 00:10:51,040 --> 00:10:53,560 I think the big takeaway is that the AI landscape is changing 310 00:10:53,560 --> 00:10:54,560 fast. 311 00:10:54,560 --> 00:10:57,640 And we're only starting to grasp what these changes really 312 00:10:57,640 --> 00:10:58,520 mean. 313 00:10:58,520 --> 00:11:01,200 DeepSeek's story is a perfect example of this. 314 00:11:01,200 --> 00:11:04,040 It shows the potential for both innovation and disruption, 315 00:11:04,040 --> 00:11:06,880 how important data access and regulation are, 316 00:11:06,880 --> 00:11:09,240 and the complex global forces at play. 317 00:11:09,240 --> 00:11:11,960 It also reminds us that AI is a powerful tool. 318 00:11:11,960 --> 00:11:12,360 It is. 319 00:11:12,360 --> 00:11:14,640 It could help us solve some of the world's biggest problems, 320 00:11:14,640 --> 00:11:16,360 but it also poses serious risks. 321 00:11:16,360 --> 00:11:16,720 Yeah. 322 00:11:16,720 --> 00:11:19,120 If it's not developed and used responsibly. 323 00:11:19,120 --> 00:11:20,120 Exactly. 324 00:11:20,120 --> 00:11:22,760 So as we move forward, we have to stay engaged. 325 00:11:22,760 --> 00:11:24,280 Keep asking those tough questions. 326 00:11:24,280 --> 00:11:24,960 Absolutely. 327 00:11:24,960 --> 00:11:27,360 And demand transparency and accountability 328 00:11:27,360 --> 00:11:30,040 from the people developing and using AI. 329 00:11:30,040 --> 00:11:32,680 We have to think critically about the potential consequences, 330 00:11:32,680 --> 00:11:34,400 both good and bad. 331 00:11:34,400 --> 00:11:37,960 And we have to work together to make sure AI is used for good, 332 00:11:37,960 --> 00:11:39,120 not for harm. 333 00:11:39,120 --> 00:11:41,360 The future of AI isn't set in stone. 334 00:11:41,360 --> 00:11:44,000 We're creating that future through the choices we make. 335 00:11:44,000 --> 00:11:45,160 That's right. 336 00:11:45,160 --> 00:11:46,880 Let's make sure we're building a future that 337 00:11:46,880 --> 00:11:48,240 works for everyone. 338 00:11:48,240 --> 00:11:49,480 Well said. 339 00:11:49,480 --> 00:11:53,000 And on that note, we'll wrap up this episode of the DeepDive. 340 00:11:53,000 --> 00:11:55,760 Thanks for joining us on this journey into the world of AI. 341 00:11:55,760 --> 00:11:57,440 And we'll see you next time for another DeepDive 342 00:11:57,440 --> 00:12:00,640 into a fascinating and thought-provoking topic.