1 00:00:00,000 --> 00:00:02,960 Hey, everyone, and welcome back for another Deep Dive. 2 00:00:02,960 --> 00:00:04,240 You ready to talk some AI? 3 00:00:04,240 --> 00:00:06,320 Because things are moving faster than ever. 4 00:00:06,320 --> 00:00:07,040 Always. 5 00:00:07,040 --> 00:00:08,400 It's crazy. 6 00:00:08,400 --> 00:00:11,120 We're diving into a huge pile of reports and tech news 7 00:00:11,120 --> 00:00:13,440 today, even digging into some academic papers. 8 00:00:13,440 --> 00:00:14,360 Sounds like fun. 9 00:00:14,360 --> 00:00:15,320 Oh, it is. 10 00:00:15,320 --> 00:00:17,560 So what's on the agenda for today's Deep Dive? 11 00:00:17,560 --> 00:00:20,200 We're cutting through the hype to bring you, the listener, 12 00:00:20,200 --> 00:00:23,240 all of the most significant AI developments right now. 13 00:00:23,240 --> 00:00:26,560 You know, kind of like a backstage pass to the AI revolution. 14 00:00:26,560 --> 00:00:27,200 Right, I get it. 15 00:00:27,200 --> 00:00:28,680 And to help us break it all down, 16 00:00:28,680 --> 00:00:32,120 we have our AI expert back by popular demand again. 17 00:00:32,120 --> 00:00:33,560 Are you ready to unpack all of this? 18 00:00:33,560 --> 00:00:34,440 Yeah, let's do it. 19 00:00:34,440 --> 00:00:37,040 All right, so one of the big things people are talking about 20 00:00:37,040 --> 00:00:40,240 is the state of AI report for 2024. 21 00:00:40,240 --> 00:00:41,880 It's packed with insights. 22 00:00:41,880 --> 00:00:43,400 But the thing that really stood out to me 23 00:00:43,400 --> 00:00:47,280 was the AI field is becoming a lot more well competitive. 24 00:00:47,280 --> 00:00:49,160 Yeah, that was a big takeaway for me, too. 25 00:00:49,160 --> 00:00:52,520 Like, remember when GPT-4 came out, the tech behind chat GPT, 26 00:00:52,520 --> 00:00:55,200 everyone thought OpenAI had basically won the game. 27 00:00:55,200 --> 00:00:56,640 It did feel that way for a minute there. 28 00:00:56,640 --> 00:00:58,240 Right, it was huge. 29 00:00:58,240 --> 00:01:00,600 But this report suggests that while GPT-4 30 00:01:00,600 --> 00:01:03,680 was a total game changer, it wasn't a game-ender. 31 00:01:03,680 --> 00:01:05,800 Yeah, other companies and even open source models 32 00:01:05,800 --> 00:01:06,600 are catching up. 33 00:01:06,600 --> 00:01:08,640 And for those listening, that's a really good thing. 34 00:01:08,640 --> 00:01:12,440 Because more competition means faster innovation, 35 00:01:12,440 --> 00:01:16,760 more creative approaches, and hopefully even more AI tools 36 00:01:16,760 --> 00:01:19,080 will become available to everyday people like us, 37 00:01:19,080 --> 00:01:21,160 not just the tech giants. 38 00:01:21,160 --> 00:01:21,760 It's true. 39 00:01:21,760 --> 00:01:23,200 AI could become a lot more accessible. 40 00:01:23,200 --> 00:01:23,880 Exactly. 41 00:01:23,880 --> 00:01:25,840 It's kind of like the Wild West out there right now, 42 00:01:25,840 --> 00:01:26,640 but in a good way. 43 00:01:26,640 --> 00:01:27,320 Definitely. 44 00:01:27,320 --> 00:01:29,120 But this report isn't just about who's 45 00:01:29,120 --> 00:01:31,720 building the biggest and best AI model. 46 00:01:31,720 --> 00:01:34,680 It also points out some huge changes in what these models are 47 00:01:34,680 --> 00:01:36,760 actually being designed to do. 48 00:01:36,760 --> 00:01:38,480 Like, it's not just about writing poems 49 00:01:38,480 --> 00:01:39,920 or composing jingles anymore. 50 00:01:39,920 --> 00:01:41,480 It's about planning and reasoning. 51 00:01:41,480 --> 00:01:42,360 It's true. 52 00:01:42,360 --> 00:01:43,920 The focus has definitely shifted. 53 00:01:43,920 --> 00:01:46,160 Which is interesting, because that changes everything. 54 00:01:46,160 --> 00:01:48,280 Instead of just being able to write a poem, 55 00:01:48,280 --> 00:01:51,320 AI could soon be planning those big research projects, 56 00:01:51,320 --> 00:01:53,520 analyzing data from those projects, 57 00:01:53,520 --> 00:01:56,520 and even suggesting completely new hypotheses. 58 00:01:56,520 --> 00:01:56,920 Yeah. 59 00:01:56,920 --> 00:01:59,920 It would be like having a super powered research assistant. 60 00:01:59,920 --> 00:02:01,840 But on a scale we can barely imagine. 61 00:02:01,840 --> 00:02:02,320 OK. 62 00:02:02,320 --> 00:02:04,280 I have to admit that's pretty amazing, 63 00:02:04,280 --> 00:02:07,400 and maybe a little intimidating. 64 00:02:07,400 --> 00:02:08,160 Just a little. 65 00:02:08,160 --> 00:02:11,360 But it seems like this move towards planning and reasoning 66 00:02:11,360 --> 00:02:14,480 is pushing AI beyond the digital world 67 00:02:14,480 --> 00:02:17,040 in some really unexpected ways. 68 00:02:17,040 --> 00:02:20,520 The report specifically mentions things like math, biology, 69 00:02:20,520 --> 00:02:22,120 and even neuroscience. 70 00:02:22,120 --> 00:02:22,720 It's true. 71 00:02:22,720 --> 00:02:24,600 And that's where things get really interesting. 72 00:02:24,600 --> 00:02:27,920 Because we're not just talking about solving some equation 73 00:02:27,920 --> 00:02:30,680 or understanding biological processes. 74 00:02:30,680 --> 00:02:32,840 We could be talking about using AI 75 00:02:32,840 --> 00:02:34,960 to solve the mysteries of the human brain. 76 00:02:34,960 --> 00:02:36,440 Exactly. 77 00:02:36,440 --> 00:02:39,520 Imagine what we could learn about consciousness memory, 78 00:02:39,520 --> 00:02:40,520 even perception. 79 00:02:40,520 --> 00:02:43,320 That's both fascinating and a little unnerving. 80 00:02:43,320 --> 00:02:44,520 I agree. 81 00:02:44,520 --> 00:02:46,880 It's where the science fiction starts to feel very real. 82 00:02:46,880 --> 00:02:48,400 Yeah, no kidding. 83 00:02:48,400 --> 00:02:51,080 But imagine the possibilities AI helping us develop 84 00:02:51,080 --> 00:02:52,760 new treatments for brain injuries, 85 00:02:52,760 --> 00:02:55,320 or maybe unlocking the secrets of Alzheimer's. 86 00:02:55,320 --> 00:02:55,800 Who knows? 87 00:02:55,800 --> 00:02:57,800 Maybe we could even upload our consciousnesses. 88 00:02:57,800 --> 00:02:59,160 OK, let's not get ahead of ourselves. 89 00:02:59,160 --> 00:02:59,560 Right. 90 00:02:59,560 --> 00:03:00,320 Of course. 91 00:03:00,320 --> 00:03:03,320 It's still early days, but the potential is definitely there, 92 00:03:03,320 --> 00:03:06,920 which I guess is what makes all of this so exciting and, well, 93 00:03:06,920 --> 00:03:08,640 a little bit daunting at the same time. 94 00:03:08,640 --> 00:03:09,240 It's true. 95 00:03:09,240 --> 00:03:10,800 There's always another side to the coin. 96 00:03:10,800 --> 00:03:11,080 Yeah. 97 00:03:11,080 --> 00:03:13,240 And speaking of daunting, the report 98 00:03:13,240 --> 00:03:16,240 touches on something that's been in the news a lot lately. 99 00:03:16,240 --> 00:03:19,080 The whole AI arms race specifically 100 00:03:19,080 --> 00:03:20,600 between the US and China. 101 00:03:20,600 --> 00:03:22,400 Yeah, it's a big top of the conversation these days. 102 00:03:22,400 --> 00:03:24,480 It seems that even with all the sanctions 103 00:03:24,480 --> 00:03:28,120 to limit China's access to those advanced AI chips, 104 00:03:28,120 --> 00:03:30,400 Chinese labs are still managing to develop 105 00:03:30,400 --> 00:03:32,320 some crazy, powerful models. 106 00:03:32,320 --> 00:03:32,840 It's true. 107 00:03:32,840 --> 00:03:34,560 And it's something we need to pay attention to. 108 00:03:34,560 --> 00:03:37,080 Because now we're not talking about just one country taking 109 00:03:37,080 --> 00:03:38,720 the lead in AI development. 110 00:03:38,720 --> 00:03:43,160 It's becoming a multipolar world with all of the opportunities, 111 00:03:43,160 --> 00:03:45,080 and frankly, the risks that come with that. 112 00:03:45,080 --> 00:03:46,600 It's a whole new world order. 113 00:03:46,600 --> 00:03:48,320 It really is, because this isn't just 114 00:03:48,320 --> 00:03:50,600 about technological advancements anymore. 115 00:03:50,600 --> 00:03:52,720 This is about global power and who gets 116 00:03:52,720 --> 00:03:54,720 to shape the future of AI. 117 00:03:54,720 --> 00:03:55,520 It's true. 118 00:03:55,520 --> 00:03:57,680 And that's something that should concern everyone, not just 119 00:03:57,680 --> 00:03:58,920 governments and corporations. 120 00:03:58,920 --> 00:04:01,600 We're talking about potentially reshaping everything 121 00:04:01,600 --> 00:04:05,200 from how the global economy works to the future of warfare 122 00:04:05,200 --> 00:04:06,960 to how we live our daily lives. 123 00:04:06,960 --> 00:04:07,960 Yeah, no doubt. 124 00:04:07,960 --> 00:04:10,080 This is definitely a lot to think about. 125 00:04:10,080 --> 00:04:12,000 But on a more personal level, I think 126 00:04:12,000 --> 00:04:14,200 it's important to remember that AI isn't just 127 00:04:14,200 --> 00:04:17,880 happening in some far off lab or government facility. 128 00:04:17,880 --> 00:04:19,760 It's making its way into our lives right now 129 00:04:19,760 --> 00:04:21,400 in some pretty incredible ways. 130 00:04:21,400 --> 00:04:21,840 It's true. 131 00:04:21,840 --> 00:04:23,480 AI is already all around us. 132 00:04:23,480 --> 00:04:25,880 Like, have you heard about what AMD's been doing? 133 00:04:25,880 --> 00:04:27,240 I'm curious. 134 00:04:27,240 --> 00:04:28,320 What have they been up to? 135 00:04:28,320 --> 00:04:28,960 Well, get this. 136 00:04:28,960 --> 00:04:31,240 They're putting AI directly into their rise in chips. 137 00:04:31,240 --> 00:04:31,600 Wow. 138 00:04:31,600 --> 00:04:34,160 So we're talking laptops, smartphones, everything. 139 00:04:34,160 --> 00:04:35,640 Yeah, exactly. 140 00:04:35,640 --> 00:04:38,080 OK, maybe not toasters yet, but you get the idea. 141 00:04:38,080 --> 00:04:38,880 You're right. 142 00:04:38,880 --> 00:04:41,800 It shows how fast AI is becoming part of our everyday 143 00:04:41,800 --> 00:04:42,600 technology. 144 00:04:42,600 --> 00:04:45,200 And this is a big deal, because these AI power chips could 145 00:04:45,200 --> 00:04:47,640 totally change how our devices work. 146 00:04:47,640 --> 00:04:49,600 We could be talking about faster, more efficient, 147 00:04:49,600 --> 00:04:52,160 and more capable devices than ever before. 148 00:04:52,160 --> 00:04:54,680 It's like giving our devices a brain boost. 149 00:04:54,680 --> 00:04:56,280 And it's not just about speed. 150 00:04:56,280 --> 00:04:58,000 We could see much better battery life, 151 00:04:58,000 --> 00:05:00,320 because AI will be handling things locally 152 00:05:00,320 --> 00:05:02,320 instead of in some massive data center. 153 00:05:02,320 --> 00:05:03,280 It's amazing. 154 00:05:03,280 --> 00:05:05,040 Think about the possibilities. 155 00:05:05,040 --> 00:05:08,040 Imagine AI-powered apps that can translate languages 156 00:05:08,040 --> 00:05:11,160 in real time, even without an internet connection. 157 00:05:11,160 --> 00:05:14,000 Or have it a smartphone that can personalize your news feed 158 00:05:14,000 --> 00:05:15,480 based on your mood. 159 00:05:15,480 --> 00:05:18,640 You could use things like your typing speed or how you scroll. 160 00:05:18,640 --> 00:05:20,000 OK, that's getting a little scary. 161 00:05:20,000 --> 00:05:20,800 But you're right. 162 00:05:20,800 --> 00:05:23,920 AI could make personalized tech a lot more, well, personal. 163 00:05:23,920 --> 00:05:24,440 Definitely. 164 00:05:24,440 --> 00:05:25,040 Yeah. 165 00:05:25,040 --> 00:05:28,200 But it's not all about smartphones and apps. 166 00:05:28,200 --> 00:05:31,080 Think about the potential impact on other industries. 167 00:05:31,080 --> 00:05:32,120 It's true. 168 00:05:32,120 --> 00:05:34,640 The possibilities really are endless. 169 00:05:34,640 --> 00:05:37,480 But with all this talk about AI in our everyday lives, 170 00:05:37,480 --> 00:05:40,520 we also need to talk about the potential downsides. 171 00:05:40,520 --> 00:05:42,680 And this report doesn't shy away from that. 172 00:05:42,680 --> 00:05:45,080 Yeah, there are definitely two sides to every coin. 173 00:05:45,080 --> 00:05:45,880 Exactly. 174 00:05:45,880 --> 00:05:48,600 On one hand, AI could lead to these amazing breakthroughs 175 00:05:48,600 --> 00:05:51,400 in medicine or help us build smarter cities. 176 00:05:51,400 --> 00:05:54,680 But then you have things like this new AI tool. 177 00:05:54,680 --> 00:05:56,040 It's called Pro KYC. 178 00:05:56,040 --> 00:05:57,200 You familiar with it? 179 00:05:57,200 --> 00:05:59,320 Yeah, it's a pretty disturbing example of what 180 00:05:59,320 --> 00:06:01,760 happens when AI is used for bad. 181 00:06:01,760 --> 00:06:05,160 Basically, it creates fake IDs and videos that are so real, 182 00:06:05,160 --> 00:06:08,000 they've even tricked some major cryptocurrency exchanges. 183 00:06:08,000 --> 00:06:09,200 It's kind of terrifying. 184 00:06:09,200 --> 00:06:11,040 How can we even tell what's real anymore 185 00:06:11,040 --> 00:06:12,560 if the experts are being fooled? 186 00:06:12,560 --> 00:06:13,920 That's the big question, isn't it? 187 00:06:13,920 --> 00:06:17,120 As AI gets more advanced, so do the tools for deception. 188 00:06:17,120 --> 00:06:19,760 It's like we won't even be able to trust our own eyes. 189 00:06:19,760 --> 00:06:21,360 In a way, yeah. 190 00:06:21,360 --> 00:06:23,800 We're talking about potentially undermining 191 00:06:23,800 --> 00:06:26,440 what we consider to be real evidence. 192 00:06:26,440 --> 00:06:29,160 It could change everything from online security 193 00:06:29,160 --> 00:06:30,600 to how we conduct elections. 194 00:06:30,600 --> 00:06:32,880 It's a lot to think about, that's for sure. 195 00:06:32,880 --> 00:06:35,240 But I don't want to get too boom and gloom here. 196 00:06:35,240 --> 00:06:36,680 We've talked about some of the risks. 197 00:06:36,680 --> 00:06:40,280 But AI also has the potential to do some really incredible good 198 00:06:40,280 --> 00:06:42,160 in the world, like in health care, for instance. 199 00:06:42,160 --> 00:06:42,760 Absolutely. 200 00:06:42,760 --> 00:06:45,120 Health care is right for an AI revolution. 201 00:06:45,120 --> 00:06:47,440 Because it's not about replacing doctors and nurses 202 00:06:47,440 --> 00:06:48,200 or anything. 203 00:06:48,200 --> 00:06:49,720 It's about giving them better tools 204 00:06:49,720 --> 00:06:51,120 so they can help more people. 205 00:06:51,120 --> 00:06:52,160 Exactly. 206 00:06:52,160 --> 00:06:55,800 Like imagine AI helping doctors analyze medical images 207 00:06:55,800 --> 00:06:59,040 and spot things that even the most trained eye could miss. 208 00:06:59,040 --> 00:07:02,360 Or what if AI could analyze all of the research data out there 209 00:07:02,360 --> 00:07:04,520 and match patients to clinical trials? 210 00:07:04,520 --> 00:07:05,760 You would be huge. 211 00:07:05,760 --> 00:07:08,760 And for doctors and nurses who are already stretched thin, 212 00:07:08,760 --> 00:07:11,200 AI could help automate those tedious tasks. 213 00:07:11,200 --> 00:07:12,280 Like all of the paperwork. 214 00:07:12,280 --> 00:07:13,040 Yeah, exactly. 215 00:07:13,040 --> 00:07:15,440 Giving them more time to actually spend with their patients. 216 00:07:15,440 --> 00:07:17,120 That's the dream. 217 00:07:17,120 --> 00:07:18,680 Giving health care professionals the time 218 00:07:18,680 --> 00:07:21,760 to actually do what they do best, which is care for people. 219 00:07:21,760 --> 00:07:26,040 And this idea of AI as an amplifier, not a replacement. 220 00:07:26,040 --> 00:07:27,040 It's not just health care. 221 00:07:27,040 --> 00:07:28,040 We're seeing it everywhere. 222 00:07:28,040 --> 00:07:28,760 It's true. 223 00:07:28,760 --> 00:07:31,240 It's like giving humans superpowers, 224 00:07:31,240 --> 00:07:33,560 or at least a really helpful sidekick. 225 00:07:33,560 --> 00:07:35,720 But while we're talking about all the amazing things 226 00:07:35,720 --> 00:07:38,560 that AI could do, let's go back to the state of AI 227 00:07:38,560 --> 00:07:39,640 report for a second. 228 00:07:39,640 --> 00:07:42,120 Because one thing it points out is that even though there's 229 00:07:42,120 --> 00:07:45,440 all this hype and all this money pouring into AI, 230 00:07:45,440 --> 00:07:47,560 the future of a lot of these AI companies 231 00:07:47,560 --> 00:07:49,080 is still uncertain. 232 00:07:49,080 --> 00:07:51,080 Yeah, it reminds me of the dot-com bubble. 233 00:07:51,080 --> 00:07:52,440 Not everyone is going to make it. 234 00:07:52,440 --> 00:07:52,800 Right. 235 00:07:52,800 --> 00:07:55,400 And for our listeners, it's really important to remember. 236 00:07:55,400 --> 00:07:58,240 Because it's not just about who's got the coolest demo 237 00:07:58,240 --> 00:08:00,160 or the biggest promises anymore. 238 00:08:00,160 --> 00:08:02,320 It's about which AI companies are actually 239 00:08:02,320 --> 00:08:03,360 solving real problems. 240 00:08:03,360 --> 00:08:03,920 Exactly. 241 00:08:03,920 --> 00:08:06,040 We need to separate the hype from the company's 242 00:08:06,040 --> 00:08:07,840 building real solutions. 243 00:08:07,840 --> 00:08:10,640 It's about separating the signal from the noise. 244 00:08:10,640 --> 00:08:13,240 And trust me, there's a lot of noise out there. 245 00:08:13,240 --> 00:08:14,520 But before we wrap up, I just have 246 00:08:14,520 --> 00:08:16,160 to share this one last thing. 247 00:08:16,160 --> 00:08:17,720 It's unbelievable. 248 00:08:17,720 --> 00:08:21,240 AI has helped scientists discover over 160,000 249 00:08:21,240 --> 00:08:23,360 new virus species. 250 00:08:23,360 --> 00:08:25,360 That just shows how much we don't know. 251 00:08:25,360 --> 00:08:26,040 It's incredible. 252 00:08:26,040 --> 00:08:26,760 It really is. 253 00:08:26,760 --> 00:08:28,640 And these aren't all scary viruses either. 254 00:08:28,640 --> 00:08:30,560 Most of them are harmless to humans. 255 00:08:30,560 --> 00:08:33,120 In fact, they play a vital role in ecosystems 256 00:08:33,120 --> 00:08:34,200 all over the planet. 257 00:08:34,200 --> 00:08:36,200 It's like opening up a whole new world. 258 00:08:36,200 --> 00:08:37,720 And it's all thanks to AI. 259 00:08:37,720 --> 00:08:39,760 And to me, that's what makes this so exciting. 260 00:08:39,760 --> 00:08:39,880 Yeah. 261 00:08:39,880 --> 00:08:41,520 We're not just building machines. 262 00:08:41,520 --> 00:08:44,120 We're using them to better understand our world. 263 00:08:44,120 --> 00:08:47,320 And that journey of discovery is just beginning. 264 00:08:47,320 --> 00:08:48,880 You know, it makes you wonder, what else 265 00:08:48,880 --> 00:08:50,760 is out there waiting to be found? 266 00:08:50,760 --> 00:08:52,080 What will we discover next? 267 00:08:52,080 --> 00:08:54,320 It really makes you think, what else is out there? 268 00:08:54,320 --> 00:08:56,160 What haven't we even thought to look for yet? 269 00:08:56,160 --> 00:08:57,120 Exactly. 270 00:08:57,120 --> 00:08:58,480 That's what I love about this field. 271 00:08:58,480 --> 00:09:00,960 We're constantly pushing the boundaries of what's possible. 272 00:09:00,960 --> 00:09:02,720 And to me, that's the biggest takeaway 273 00:09:02,720 --> 00:09:04,760 from this whole state of AI report. 274 00:09:04,760 --> 00:09:06,600 It's not just a progress report. 275 00:09:06,600 --> 00:09:08,000 It's a call to action. 276 00:09:08,000 --> 00:09:08,720 Absolutely. 277 00:09:08,720 --> 00:09:10,480 Because AI isn't just something happening 278 00:09:10,480 --> 00:09:11,840 in the background anymore. 279 00:09:11,840 --> 00:09:14,320 It's going to touch every aspect of our lives. 280 00:09:14,320 --> 00:09:16,320 And we have a choice to make. 281 00:09:16,320 --> 00:09:18,200 Are we going to be passive bystanders? 282 00:09:18,200 --> 00:09:21,400 Or are we going to help shape how this technology is used? 283 00:09:21,400 --> 00:09:24,120 Because it's not just up to the engineers and the policymakers. 284 00:09:24,120 --> 00:09:25,080 It's up to all of us. 285 00:09:25,080 --> 00:09:26,000 Exactly. 286 00:09:26,000 --> 00:09:27,400 We need to be informed. 287 00:09:27,400 --> 00:09:29,000 We need to ask tough questions. 288 00:09:29,000 --> 00:09:32,200 And we need to demand that AI is used for good. 289 00:09:32,200 --> 00:09:34,080 Couldn't have said it better myself. 290 00:09:34,080 --> 00:09:36,600 It's about making sure AI benefits everyone, 291 00:09:36,600 --> 00:09:38,400 not just a select few. 292 00:09:38,400 --> 00:09:40,160 Well said. 293 00:09:40,160 --> 00:09:41,840 All right, so to wrap things up today, 294 00:09:41,840 --> 00:09:44,360 we've talked about the incredible advancements in AI, 295 00:09:44,360 --> 00:09:46,400 the potential benefits, and the risks. 296 00:09:46,400 --> 00:09:49,040 And most importantly, what it all means for us. 297 00:09:49,040 --> 00:09:50,120 It's a lot to digest. 298 00:09:50,120 --> 00:09:51,120 It is. 299 00:09:51,120 --> 00:09:54,320 But the future of AI is being written right now. 300 00:09:54,320 --> 00:09:56,800 And hopefully our deep dive today has given you 301 00:09:56,800 --> 00:09:58,080 some things to think about. 302 00:09:58,080 --> 00:09:59,840 And maybe even inspired you to get involved. 303 00:09:59,840 --> 00:10:00,520 Absolutely. 304 00:10:00,520 --> 00:10:02,080 Because the future is unwritten. 305 00:10:02,080 --> 00:10:03,080 And who knows? 306 00:10:03,080 --> 00:10:05,360 Maybe some of you listening will be the ones writing 307 00:10:05,360 --> 00:10:07,800 the next chapter in the AI revolution. 308 00:10:07,800 --> 00:10:09,160 That's it for this deep dive. 309 00:10:09,160 --> 00:10:38,720 We'll see you next time.