1 00:00:00,120 --> 00:00:03,960 Welcome to the Newcomer podcast. I'm Eric newcomer, thrilled to 2 00:00:03,960 --> 00:00:07,320 have Naima Raza, independent journalist, Co host of Smart 3 00:00:07,320 --> 00:00:09,840 Girl Dumb Questions here with me. 4 00:00:10,040 --> 00:00:15,200 We are about to together host Deus Ex Medicina, our brand new 5 00:00:15,360 --> 00:00:18,840 AI health and longevity summit. Naima, welcome to the show. 6 00:00:18,840 --> 00:00:20,760 Well, hi Eric, thank you for having me. 7 00:00:20,760 --> 00:00:22,760 I feel like these are like our wedding vows or something. 8 00:00:23,040 --> 00:00:26,000 You're the pro, so really you should be guiding us through 9 00:00:26,000 --> 00:00:29,000 this podcast. Oh, I don't know. 10 00:00:29,000 --> 00:00:30,880 I somehow it was like a long con. 11 00:00:30,880 --> 00:00:33,960 I somehow got Eric to. I'm like, I would love if we can 12 00:00:33,960 --> 00:00:37,000 collaborate on a conference. We tell people a story of why 13 00:00:37,000 --> 00:00:38,960 we're doing this thing. So what is the story? 14 00:00:39,280 --> 00:00:41,840 I remember we got coffee and I was like, wow, now you must 15 00:00:41,840 --> 00:00:46,200 seems to really like know everybody excited, cool, 16 00:00:46,200 --> 00:00:48,840 something I want to do stuff with and like we were kicking 17 00:00:48,840 --> 00:00:51,000 around conference ideas. I don't know what. 18 00:00:51,160 --> 00:00:53,840 What's the story in your mind or how did this all come together? 19 00:00:53,880 --> 00:00:55,840 Yeah. So what happened was I remember 20 00:00:55,960 --> 00:01:00,280 Eric, you had tweeted something or you actually wrote a, you 21 00:01:00,280 --> 00:01:03,360 wrote a sub stack. It was like October of 2024. 22 00:01:03,680 --> 00:01:05,720 And I get the sub stack from Eric. 23 00:01:05,720 --> 00:01:08,000 And it's basically like, oh, you know, ever since I left the 24 00:01:08,000 --> 00:01:11,320 media business, this dying media business, which I was covering 25 00:01:11,320 --> 00:01:13,080 at the time because I was doing a show with Ben Smith at 26 00:01:13,080 --> 00:01:15,160 Semaphore called Mixed Signals, which she still does with 27 00:01:15,160 --> 00:01:16,080 Maktani. It's awesome. 28 00:01:16,080 --> 00:01:18,160 You should check it out. But you know, you're like, I'm 29 00:01:18,160 --> 00:01:20,160 leaving this dying. I've left this dying media, 30 00:01:20,160 --> 00:01:23,520 legacy media business and I just made $4 million and I'm hiring 31 00:01:23,520 --> 00:01:25,520 people. I don't think it was 4 million. 32 00:01:25,640 --> 00:01:28,000 Yeah, yeah. How many millions went there? 33 00:01:28,640 --> 00:01:33,200 Revenue on a million, 2,000,000 plus revenue on a million and 34 00:01:33,200 --> 00:01:35,800 profit is basically what we said with ambitions to sort of 35 00:01:35,800 --> 00:01:37,840 continue to grow it. Yeah, I really put out the bad 36 00:01:37,840 --> 00:01:41,880 signal that we were a media business with money and wanted 37 00:01:41,880 --> 00:01:45,400 more respect and, you know, wanted to work with fun, cool 38 00:01:45,400 --> 00:01:47,400 people. Yeah, in Jay-Z language, that's 39 00:01:47,400 --> 00:01:49,360 known as this for those watching on YouTube. 40 00:01:49,360 --> 00:01:53,080 It's just that it's. Just everybody else brags about 41 00:01:53,080 --> 00:01:55,680 how much money they raised, and here we're a business making 42 00:01:55,680 --> 00:01:57,240 money. At some point, you just need to 43 00:01:57,240 --> 00:01:59,200 say, well, here's here's what's going on. 44 00:01:59,320 --> 00:02:01,200 Which is awesome. So congratulations, Eric. 45 00:02:01,200 --> 00:02:03,320 And I was like, you know, we'd met each other before we'd met 46 00:02:03,320 --> 00:02:05,600 at the code conference. We kind of had people in common 47 00:02:05,600 --> 00:02:08,360 and I wrote, I reached out to you and I was like, hey, Eric, 48 00:02:08,479 --> 00:02:11,360 you have this great business. You're looking to do more 49 00:02:11,360 --> 00:02:13,840 events. I don't want a job, but I want 50 00:02:13,840 --> 00:02:17,520 to go and host things because I love, I love, I love 51 00:02:17,520 --> 00:02:19,080 interviewing people. That's my bread butter. 52 00:02:19,360 --> 00:02:22,160 I love doing stage events. I'm a big believer in the return 53 00:02:22,160 --> 00:02:26,520 to live in the age of AI and, and if you want to, if you have 54 00:02:26,520 --> 00:02:28,600 the infrastructure to handle all this, like I would love to 55 00:02:28,600 --> 00:02:30,800 partner with you editorially. That's what happened. 56 00:02:31,040 --> 00:02:33,560 I think we're both spiritually similar and we love to host. 57 00:02:33,560 --> 00:02:35,960 We're very, we're different people, obviously. 58 00:02:35,960 --> 00:02:38,760 But I was saying to someone literally yesterday I was like, 59 00:02:38,960 --> 00:02:41,920 you know, we hosted the first Ruble Valley AI Summit the same 60 00:02:41,920 --> 00:02:44,680 year I got married. And it's like, oh, I love being 61 00:02:44,680 --> 00:02:46,520 a groom. I love everybody so excited. 62 00:02:46,520 --> 00:02:49,320 So I meet you. It's like it's hard to network. 63 00:02:49,320 --> 00:02:51,120 Any other way we provide. The taste. 64 00:02:51,880 --> 00:02:55,200 Yes, yeah, that's true. I I, yeah, I love, see, I love 65 00:02:55,200 --> 00:02:58,160 to host, but I think the actual infrastructure around it, 66 00:02:58,160 --> 00:02:59,520 there's so much that goes into an event. 67 00:02:59,520 --> 00:03:02,920 There's an amazing team, people like Riley, so many people have 68 00:03:02,920 --> 00:03:05,880 been involved in helping boost and support this event. 69 00:03:06,080 --> 00:03:08,640 And that's the stuff that even though I came up as a producer, 70 00:03:09,400 --> 00:03:11,560 I'm like, I love, I love the stage stuff. 71 00:03:11,560 --> 00:03:13,880 I love having the conversation, thinking about what we're going 72 00:03:13,880 --> 00:03:15,200 to talk about. And I couldn't be more excited 73 00:03:15,200 --> 00:03:18,680 because you have killed it in this AI event space. 74 00:03:19,080 --> 00:03:23,080 And I, I just think we're ripe to have a conversation about 75 00:03:23,240 --> 00:03:26,600 this next era in American healthcare in a way that really 76 00:03:26,600 --> 00:03:30,480 bridges the technology, the AI, the consumer trends, the policy 77 00:03:30,480 --> 00:03:33,240 shift. And I'm so excited to be doing 78 00:03:33,240 --> 00:03:34,840 this on September 9th in San Francisco. 79 00:03:34,880 --> 00:03:38,440 So Dave sex medicina we we agonized over the name. 80 00:03:38,440 --> 00:03:40,520 I don't know if you've noticed whether Twitter is like auto 81 00:03:40,520 --> 00:03:43,800 correcting it out of Latin because it's like it's 82 00:03:43,800 --> 00:03:47,240 translating it for you. So AI is ruining our beautiful 83 00:03:47,240 --> 00:03:49,400 name. I can only imagine Grok AI does 84 00:03:49,400 --> 00:03:50,960 not like anybody else being called. 85 00:03:51,040 --> 00:03:52,760 Or where? Or you're just off. 86 00:03:52,800 --> 00:03:55,080 No I'm not. I just, I'm like, no, I like to 87 00:03:55,080 --> 00:03:58,120 thirst trap with my pictures on Instagram like a real 88 00:03:58,120 --> 00:03:59,800 millennial. I see just. 89 00:04:00,920 --> 00:04:02,120 And you're super. Now you know. 90 00:04:02,800 --> 00:04:05,360 Exactly. No, but I can, I can imagine 91 00:04:05,360 --> 00:04:08,160 that that croc and X might not like anyone else being called 92 00:04:08,160 --> 00:04:10,160 DX, you know, being called God and. 93 00:04:10,200 --> 00:04:12,280 I see it's the X. They're they're sabotaging us. 94 00:04:12,520 --> 00:04:15,240 But yeah, I mean, we really saw, you know, we've been hosting 95 00:04:15,240 --> 00:04:17,920 Cerebral Valley since March 2023. 96 00:04:17,920 --> 00:04:21,560 Obviously that's really focused on sort of foundation models and 97 00:04:21,560 --> 00:04:23,600 people, you know, building software. 98 00:04:23,600 --> 00:04:28,200 You know, we had anthropic CEO Alexander Wang at scale just in 99 00:04:28,200 --> 00:04:29,920 London. We had, you know, Dart, Uber, 100 00:04:29,920 --> 00:04:32,680 what we didn't have a lot of the health piece of it, but that was 101 00:04:32,680 --> 00:04:37,120 clearly becoming a larger and larger piece of the AI story. 102 00:04:37,200 --> 00:04:40,840 So there was that. There was sort of this longevity 103 00:04:40,840 --> 00:04:43,760 thing that's been going on. And then there's sort of all the 104 00:04:43,760 --> 00:04:46,440 change that's happening, whatever you think about it, 105 00:04:46,600 --> 00:04:49,200 because of what's happening with Maha, RFK and the Trump 106 00:04:49,200 --> 00:04:51,160 administration. So I just like, you know, 107 00:04:51,680 --> 00:04:54,040 together we were like, oh, you know, there are these like 3 108 00:04:54,040 --> 00:04:58,040 wild themes and it's a little, it's a little wild. 109 00:04:58,040 --> 00:05:01,000 But I do think going into it, we are like, oh, there's a set of 110 00:05:01,000 --> 00:05:02,880 Silicon Valley people that are going to get it. 111 00:05:03,000 --> 00:05:06,400 Like this is just like the first cerebral Valley where if you're 112 00:05:06,400 --> 00:05:08,800 paying attention, you're like, oh man, there are a lot of 113 00:05:09,160 --> 00:05:12,960 interesting things going on at once that Silicon Valley loves 114 00:05:12,960 --> 00:05:14,400 because that means things are investable. 115 00:05:14,720 --> 00:05:16,160 I mean. You're, you're a technology 116 00:05:16,160 --> 00:05:19,920 journalist as, as your build, but I have often thought, I 117 00:05:19,920 --> 00:05:21,640 mean, technologies like infrastructure, it's kind of 118 00:05:21,640 --> 00:05:24,080 like being like I am, I work in Rd. because like I happened to 119 00:05:24,080 --> 00:05:27,200 take one on the way to my office, you know, but I think 120 00:05:27,200 --> 00:05:30,760 that there is a, it's, it is AI just had a conversation with one 121 00:05:30,760 --> 00:05:34,000 legacy media outlet that's very concerned about like how, how do 122 00:05:34,000 --> 00:05:36,560 its audience understand technology, etcetera. 123 00:05:36,560 --> 00:05:38,480 And we're talking about it. And I'm like, it's kind of just 124 00:05:38,480 --> 00:05:40,880 everything now. But Healthcare is a great way 125 00:05:40,880 --> 00:05:43,480 into the topic because everybody cares so much about healthcare. 126 00:05:43,480 --> 00:05:46,480 I mean, we're in a moment where obviously, you know, we saw in 127 00:05:46,480 --> 00:05:50,760 New York City the killing of the United Healthcare CEO last year, 128 00:05:50,760 --> 00:05:54,600 us all even this recent shooting that happened on Park Ave. with 129 00:05:54,600 --> 00:05:57,040 NFLI mean there was a concussion background to it. 130 00:05:57,040 --> 00:05:59,880 I think Healthcare is just such a human and real. 131 00:06:00,400 --> 00:06:02,640 I mean, everything I say right now is going to sound so dumb 132 00:06:02,640 --> 00:06:05,040 and earnest, but like it is it is the thing that touches all of 133 00:06:05,040 --> 00:06:07,280 our lives and all of our parents lives from the moment we're 134 00:06:07,280 --> 00:06:08,920 born. And when I started Smart Girl 135 00:06:08,920 --> 00:06:10,880 Down questions, the first episode I did was Can 136 00:06:10,880 --> 00:06:13,720 Billionaire Save us with Mark Cuban talking about capitalism 137 00:06:13,720 --> 00:06:16,240 in healthcare. And he outlined this vision for 138 00:06:16,240 --> 00:06:19,320 how private Healthcare is going to be the only way to get to a 139 00:06:19,560 --> 00:06:22,960 kind of national single payer, single payer system over time. 140 00:06:23,200 --> 00:06:27,760 So I just think it is the best place to talk about some of 141 00:06:27,760 --> 00:06:30,200 these themes, including AI and including policy. 142 00:06:30,360 --> 00:06:32,360 We went through some bad names. I for a second thought we should 143 00:06:32,360 --> 00:06:34,520 call it Maha Valley. Eric was like, no. 144 00:06:34,520 --> 00:06:38,520 Yeah, we got very close to that, but I think we clearly want to 145 00:06:38,520 --> 00:06:40,960 reflect a couple different themes. 146 00:06:41,400 --> 00:06:43,840 There was there was something with blood too that we like 147 00:06:43,840 --> 00:06:45,600 really agonized over. Do you remember? 148 00:06:45,600 --> 00:06:47,240 What it was, yeah. You wanted to call it something? 149 00:06:47,240 --> 00:06:49,040 I was like, what is that? That sounds so. 150 00:06:49,120 --> 00:06:50,880 Terrible. You wanted a video game. 151 00:06:50,880 --> 00:06:53,040 So then I was like, I don't, I don't know if it was that or 152 00:06:53,040 --> 00:06:55,240 there was some random summit, I can't remember. 153 00:06:55,240 --> 00:06:56,640 I don't know. It was like, it was like finger 154 00:06:56,640 --> 00:06:58,120 prick or something. I was like, OK, Elizabeth 155 00:06:58,120 --> 00:06:59,880 Holmes, calm down. We're not going to. 156 00:06:59,880 --> 00:07:01,640 We're not going to call it that. It's like. 157 00:07:01,760 --> 00:07:04,560 Anyway, did you come up with? The one sort of the technology, 158 00:07:04,560 --> 00:07:08,320 the sort of creation, you know, it's a little bit sci-fi. 159 00:07:08,440 --> 00:07:11,440 If you're a regular listener to this podcast, you know that 160 00:07:11,440 --> 00:07:14,240 ahead of Cerebral Valley, I'll have my coast. 161 00:07:14,240 --> 00:07:17,120 Max and James, you actually I think are friends or you went to 162 00:07:17,120 --> 00:07:19,640 Business School with Max, right? I did Max Style, dropped out of 163 00:07:19,640 --> 00:07:21,360 Business School. He took his excellent voice. 164 00:07:21,360 --> 00:07:22,760 He's too. You're always like, he's too 165 00:07:22,760 --> 00:07:23,840 cool for school. Yeah. 166 00:07:23,840 --> 00:07:27,120 So Max and James and I, you know, do an episode or two 167 00:07:27,120 --> 00:07:30,800 before the conference just sort of like, you know, talking about 168 00:07:30,800 --> 00:07:33,040 what's going to come. And I thought one of my favorite 169 00:07:33,040 --> 00:07:36,280 pieces from those conversations is often they're just like, what 170 00:07:36,280 --> 00:07:37,920 themes do you think are going to emerge? 171 00:07:38,080 --> 00:07:39,840 So we don't want to, like, spoil everything. 172 00:07:39,840 --> 00:07:43,720 Obviously, the joy of these events is like the unexpected. 173 00:07:43,720 --> 00:07:46,480 And the answer is we don't know. But we're obviously diligent 174 00:07:46,480 --> 00:07:48,520 journalists, so we've done prep calls. 175 00:07:48,520 --> 00:07:52,400 So I wanted to play this game with Naima of just coming up, 176 00:07:52,480 --> 00:07:56,560 each of us taking turns with three themes that we think will 177 00:07:56,560 --> 00:08:00,800 emerge and that we're excited to sort of interrogate during Deus 178 00:08:00,800 --> 00:08:03,200 Ex Medicina. OK, Are you ready? 179 00:08:03,280 --> 00:08:04,720 Yeah. I mean, I didn't do my homework 180 00:08:04,720 --> 00:08:06,560 because I'm like, oh, podcast, I do this. 181 00:08:06,560 --> 00:08:07,560 We'll. Figure it out. 182 00:08:07,920 --> 00:08:10,280 Yeah, yeah, but I love it. Why don't you go 1st and then 183 00:08:10,320 --> 00:08:12,280 I'll be like you stole all my great ideas. 184 00:08:12,560 --> 00:08:14,880 Now I I want to do better than next child. 185 00:08:15,840 --> 00:08:17,200 Well, yeah, we all love a little. 186 00:08:17,360 --> 00:08:19,840 This is very competitive, I think podcast, I mean. 187 00:08:20,640 --> 00:08:24,000 Max already won because the like the trick is leaving but like 188 00:08:24,000 --> 00:08:25,360 the most successful people leave. 189 00:08:25,440 --> 00:08:27,560 Drop out of school. I think that's literally, I 190 00:08:27,560 --> 00:08:30,480 think biology or I don't know, somebody gave a speech, I think 191 00:08:30,480 --> 00:08:33,240 while he was a Business School. It was like, you need to drop 192 00:08:33,240 --> 00:08:34,720 out. You know, it's classic Stanford, 193 00:08:34,720 --> 00:08:36,799 everybody. Yeah, Max Child disciple of 194 00:08:36,799 --> 00:08:38,280 biology. Yeah, that makes sense. 195 00:08:38,480 --> 00:08:42,120 OK. The OK longevity is everywhere. 196 00:08:42,120 --> 00:08:47,880 So longevity is nowhere. I think that with the rise of 197 00:08:48,000 --> 00:08:51,520 GLP ones, it's like, yeah, duh, longevity. 198 00:08:51,520 --> 00:08:53,560 It's like between statins and GLP ones. 199 00:08:53,720 --> 00:08:58,520 Everyone clearly sees that helping pretty healthy people 200 00:08:58,640 --> 00:09:03,280 have higher quality of life, longer life is is a big money 201 00:09:03,280 --> 00:09:06,560 maker is a good idea, something that people want, something that 202 00:09:06,560 --> 00:09:09,760 maybe consumers will even spend money on out of pocket. 203 00:09:09,880 --> 00:09:12,080 And I think longevity has been this term. 204 00:09:12,080 --> 00:09:15,760 That said, the medical world you don't embrace like life 205 00:09:15,760 --> 00:09:17,080 extension. So we need to give it a 206 00:09:17,080 --> 00:09:20,280 different name. But now with, you know, with 207 00:09:20,280 --> 00:09:23,840 Govi and everything else, it's just clear that like this is a 208 00:09:23,840 --> 00:09:25,600 big opportunity. And I think the questions will 209 00:09:25,600 --> 00:09:28,440 be much more when does like sort of big pharma and everybody else 210 00:09:28,440 --> 00:09:31,760 sort of explicitly say we're going after like anti ageing and 211 00:09:31,760 --> 00:09:34,400 just embrace it themselves? But I think it's a matter of 212 00:09:34,400 --> 00:09:36,280 when. OK, I love that. 213 00:09:36,440 --> 00:09:40,400 Longevity is everywhere, so longevity the word is. 214 00:09:40,400 --> 00:09:43,240 Nowhere or do I agree with that. The way I think about this in my 215 00:09:43,240 --> 00:09:45,320 kind of smart call dumb questions framework is like, why 216 00:09:45,320 --> 00:09:48,360 are millennials so optimistic that we want to live forever, 217 00:09:48,360 --> 00:09:51,600 but so pessimistic that we don't want to procreate like what is 218 00:09:51,600 --> 00:09:54,720 happening to our generation? But do I agree? 219 00:09:54,720 --> 00:09:58,680 I think that longevity is very much in the zeitgeist and and 220 00:09:58,760 --> 00:10:02,880 very much in our culture, but it is Americanized and commercial. 221 00:10:02,880 --> 00:10:05,240 I think the experience of longevity in America is so 222 00:10:05,240 --> 00:10:08,600 specific to the United States that even if you like go across 223 00:10:08,600 --> 00:10:11,360 the pond to Europe, you do not see this obsession. 224 00:10:11,640 --> 00:10:14,920 There's something uniquely American that is happening here 225 00:10:15,080 --> 00:10:17,760 and I feel like the capitalist movement into the longevity 226 00:10:17,760 --> 00:10:22,960 space is is an example of that. The use cases for GLP ones are 227 00:10:22,960 --> 00:10:25,080 very particular in the United States as well. 228 00:10:25,280 --> 00:10:28,320 You're seeing this commercialization and this 229 00:10:29,160 --> 00:10:31,720 visualization of longevity in the United States. 230 00:10:31,920 --> 00:10:33,720 Do I think it's everywhere? No, because I think it's like. 231 00:10:33,920 --> 00:10:35,640 Because. It can take you see the. 232 00:10:35,640 --> 00:10:38,280 World, it's like once capitalism has embraced it, it is 233 00:10:38,280 --> 00:10:41,320 everywhere and you're like, oh, there's more than just whether 234 00:10:41,360 --> 00:10:44,640 like every company in healthcare sees like, oh, this is a way to 235 00:10:44,640 --> 00:10:46,600 make money That's like there's more to that, Eric, but. 236 00:10:46,720 --> 00:10:49,040 But yeah, yeah. But but I do think it's a 237 00:10:49,040 --> 00:10:52,480 profound moment because Americans are really 238 00:10:52,640 --> 00:10:56,360 reconsidering like longevity and health and buying into that. 239 00:10:56,360 --> 00:10:59,560 However, we know from the health data that we pay more than most 240 00:10:59,560 --> 00:11:01,440 other countries. We have worse health care comes 241 00:11:01,440 --> 00:11:04,120 than most other countries. You know, consternation around 242 00:11:04,120 --> 00:11:07,040 what's in our food supply, what, you know, the what do we use 243 00:11:07,040 --> 00:11:08,840 plastics in our ecosystem, whatever it is. 244 00:11:08,840 --> 00:11:11,520 Like people are very concerned about their health, but it's all 245 00:11:11,520 --> 00:11:15,880 happening in a relatively unregulated, highly capitalistic 246 00:11:16,080 --> 00:11:18,680 and commercialized world. So I agree with you. 247 00:11:18,760 --> 00:11:21,680 In the United States, longevity is now everywhere and therefore 248 00:11:21,680 --> 00:11:22,960 it's nowhere. But I think in the rest of the 249 00:11:22,960 --> 00:11:24,920 world it's nowhere and somehow it's everywhere. 250 00:11:25,360 --> 00:11:27,960 No, there's a couple. Beats behind everybody else I 251 00:11:27,960 --> 00:11:28,520 guess. No, but. 252 00:11:28,520 --> 00:11:30,120 I I think actually what I'm saying is different. 253 00:11:30,120 --> 00:11:33,480 Like the rest of the world, longevity is nowhere to be 254 00:11:33,480 --> 00:11:35,240 discussed and everywhere to be had. 255 00:11:35,280 --> 00:11:36,480 People are living. Yeah, I guess. 256 00:11:36,520 --> 00:11:40,800 America needs the to meet, Yeah, match the lifespans of some 257 00:11:40,800 --> 00:11:42,600 other countries. Exactly. 258 00:11:42,760 --> 00:11:44,560 OK, I like that. Unpack there. 259 00:11:44,600 --> 00:11:46,200 All right, now you're up. Should I? 260 00:11:46,200 --> 00:11:48,960 Do 1. So I think that the future of 261 00:11:48,960 --> 00:11:50,880 medicine is N of one. It is. 262 00:11:51,040 --> 00:11:54,600 Expound I think I know what you're I learn the health lingo 263 00:11:54,600 --> 00:11:57,320 a little bit, enough to know what you're saying, but explain, 264 00:11:57,320 --> 00:11:58,920 explain it a little bit more like. 265 00:11:59,400 --> 00:12:01,400 Even if you think about a concept like longevity that 266 00:12:01,400 --> 00:12:03,480 we're talking about, it's no longer going to be about, oh, 267 00:12:03,480 --> 00:12:05,520 you know, the average lifespan in the United States in the mid 268 00:12:05,520 --> 00:12:06,960 70s and I'm going to live to the 90s. 269 00:12:06,960 --> 00:12:11,040 It's like I based on my own biometric information, the 270 00:12:11,040 --> 00:12:13,800 genetic data that I have, everything I know about myself, 271 00:12:14,200 --> 00:12:17,400 you know, should be expected to live based on my parents 272 00:12:17,400 --> 00:12:19,560 history, everything should be expected to live to, I don't 273 00:12:19,560 --> 00:12:24,040 know, 87, but I believe that I can extend that to 100 and B and 274 00:12:24,040 --> 00:12:28,960 I believe that I can be, you know, at age 39, feel like I'm 275 00:12:29,160 --> 00:12:32,440 age 27. You know, that is what I mean. 276 00:12:32,440 --> 00:12:35,280 It's so personalized and everything that you're seeing 277 00:12:35,760 --> 00:12:36,800 and. There's obviously this big 278 00:12:36,800 --> 00:12:40,200 movement in health around drugs that are like specifically 279 00:12:40,200 --> 00:12:42,360 targeted to you in treatments and like, yes. 280 00:12:42,400 --> 00:12:43,760 Exactly. That's where I was going to go. 281 00:12:43,760 --> 00:12:46,120 For example, we're doing this one panel at at DS that's going 282 00:12:46,120 --> 00:12:49,520 to be around Novel Biosciences and Therapeutics and we're going 283 00:12:49,520 --> 00:12:53,520 to have a Janice Chen from Mammoth Biosciences as well as 284 00:12:53,520 --> 00:12:56,040 Jacob Mccraft from Strand Therapeutics. 285 00:12:56,400 --> 00:12:58,800 And if you look at what's happening in healthcare, like 286 00:12:58,800 --> 00:13:02,400 the idea that you can find out what particular cancer somebody 287 00:13:02,400 --> 00:13:06,360 has, what cells, what bad cells are replicating, how we go into 288 00:13:06,360 --> 00:13:09,880 their genetic code to create individualized medicine, 289 00:13:09,880 --> 00:13:12,360 individualized therapies. You know, some of this is 290 00:13:12,360 --> 00:13:14,520 preclinical, but that is the future of medicine. 291 00:13:14,520 --> 00:13:16,040 It is all going to be against yourself. 292 00:13:16,040 --> 00:13:18,840 It is a very different world to operate in. 293 00:13:19,280 --> 00:13:22,000 I don't know what it means for clinical care, et cetera, which 294 00:13:22,000 --> 00:13:24,960 gets to my second theme, which I will not scoop myself on. 295 00:13:25,040 --> 00:13:26,920 I my. My my one response to that, 296 00:13:27,200 --> 00:13:28,560 Yeah. Tell me I definitely. 297 00:13:28,560 --> 00:13:30,800 Think it's a trend, but I'm of two minds. 298 00:13:30,800 --> 00:13:34,720 I think 11 pushback is just like if AI is really one of the 299 00:13:34,720 --> 00:13:38,520 transformational forces, like it's desperate for data and in 300 00:13:38,520 --> 00:13:41,720 some of the things people already want to do, like improve 301 00:13:41,720 --> 00:13:44,640 drug discovery, their questions of like, does it have all the 302 00:13:44,640 --> 00:13:46,360 data it needs to improve? How? 303 00:13:46,640 --> 00:13:50,120 Like somebody was literally just telling me today, it's like, if 304 00:13:50,160 --> 00:13:53,560 we're using AI to improve trials, we don't actually know 305 00:13:53,560 --> 00:13:56,080 what occurring Alzheimer looks like. 306 00:13:56,080 --> 00:13:58,520 So how does AI model that, right? 307 00:13:58,520 --> 00:13:59,800 Because we don't even have the data. 308 00:14:00,080 --> 00:14:02,280 And so then if you're saying, or are we going to make leaps with 309 00:14:02,280 --> 00:14:05,600 the individual, it's like even harder for AI just to know, you 310 00:14:05,600 --> 00:14:08,360 know, even on a system wide, let alone an individual. 311 00:14:08,360 --> 00:14:11,080 And I get there are lots of different pieces of technology 312 00:14:11,080 --> 00:14:13,480 happening at once, but I probably lean a little bit more 313 00:14:13,480 --> 00:14:16,080 on the like there's a lot of work on like the big side on 314 00:14:16,080 --> 00:14:17,600 the. General meta though, even there 315 00:14:17,600 --> 00:14:18,960 are a lot of. People doing exactly what you're 316 00:14:18,960 --> 00:14:20,600 saying, no. And I think there's probably 317 00:14:20,600 --> 00:14:24,240 like some income distribution to this thing, which is like there 318 00:14:24,240 --> 00:14:27,480 is going to be a group of people who, and you already hear about 319 00:14:27,480 --> 00:14:31,240 people who are coming up with unique PCR tests and and funding 320 00:14:31,240 --> 00:14:34,240 development of their own personalized mRNA vaccines for 321 00:14:34,240 --> 00:14:36,880 their own type of cancer in their whatever it is. 322 00:14:37,080 --> 00:14:39,440 So you're hearing stories about that happening. 323 00:14:39,600 --> 00:14:44,080 Meanwhile, you're right, the big push is going to be on raw data, 324 00:14:44,080 --> 00:14:46,680 but that I mean you in healthcare are an anecdote. 325 00:14:46,680 --> 00:14:49,920 I just wore CGM for a couple of weeks because I'm seeing this 326 00:14:49,920 --> 00:14:54,160 longevity doctor right now as a part of CGM continuous glucose 327 00:14:54,160 --> 00:14:56,840 monitoring like levels. Remember the means. 328 00:14:57,640 --> 00:15:00,920 Yeah, get what there be live forever. 329 00:15:00,920 --> 00:15:04,080 What are you doing? I'm I, I, I think, I don't know 330 00:15:04,080 --> 00:15:05,640 if I've said this on the podcast, I'm going to be open 331 00:15:05,640 --> 00:15:08,480 about this, the event. I I've started taking Wigovi so 332 00:15:08,520 --> 00:15:12,280 I'm deep in one of the. 1. Thing so at least on that front, 333 00:15:12,280 --> 00:15:14,120 I'm I'm not the full medical dose. 334 00:15:14,120 --> 00:15:17,680 I'm like the one before that. So it's an ongoing experiment. 335 00:15:17,680 --> 00:15:20,080 So I'm I'm certainly in and I use like one medical or 336 00:15:20,080 --> 00:15:24,200 whatever, but I'm not deep in I I wouldn't say, hey, I'm a super 337 00:15:24,200 --> 00:15:25,920 health hacker. I'm always asking these health 338 00:15:25,920 --> 00:15:29,520 people and I I'm sure I'll ask them at the event on Tuesday. 339 00:15:29,520 --> 00:15:31,560 Some of them like do you do anything different? 340 00:15:31,560 --> 00:15:33,880 And honestly, some of the more medical people, they're like, 341 00:15:33,880 --> 00:15:35,800 no, I don't. I don't do anything weird like, 342 00:15:36,400 --> 00:15:37,640 man. So it'll be interesting to see 343 00:15:37,640 --> 00:15:40,080 if we can get anyone to say like, Oh yeah, I, I'm doing 344 00:15:40,080 --> 00:15:43,120 something, no. I'm I'm super curious when I'm 345 00:15:43,120 --> 00:15:46,040 speaking to Celine from loyal and Saju. 346 00:15:46,040 --> 00:15:48,280 No, no, I just talked to her. I just talked to her spoil. 347 00:15:48,320 --> 00:15:51,440 She doesn't do anything weird. She is like, hopefully. 348 00:15:51,440 --> 00:15:53,560 Sage from Noom is doing some stuff. 349 00:15:53,960 --> 00:15:56,960 She's like, no, you need to see studies and everything. 350 00:15:56,960 --> 00:15:59,360 Like even sort of a big believer in longevity. 351 00:15:59,360 --> 00:16:02,040 She's doing life extension for dogs which I'm super excited 352 00:16:02,080 --> 00:16:05,120 Anyway going. To be so excited and Noom has 353 00:16:05,120 --> 00:16:07,680 just gotten into a micro dosing GLP 1. 354 00:16:07,680 --> 00:16:10,040 So one very cool. Thank you for sharing with us 355 00:16:10,040 --> 00:16:12,120 about the Vicovia. I'm I'm so curious what you'll 356 00:16:12,120 --> 00:16:13,600 learn from it. I've thought about it as well. 357 00:16:13,600 --> 00:16:16,120 Like I've definitely talked to doctors about micro dosing. 358 00:16:16,360 --> 00:16:18,960 I'm very worried about it because I'm worried about losing 359 00:16:18,960 --> 00:16:21,920 any muscle mass. It was so important for, for 360 00:16:21,920 --> 00:16:25,280 women to retain muscle mass and becomes harder in your mid to 361 00:16:25,280 --> 00:16:28,200 late 30s and beyond. And so I something that I think 362 00:16:28,200 --> 00:16:29,880 a lot about, Oh, I was going to say the CGM thing. 363 00:16:29,880 --> 00:16:31,200 I just want to say one thing on CGM. 364 00:16:31,240 --> 00:16:34,360 I was wearing the CGM and for example, like everyone will tell 365 00:16:34,360 --> 00:16:36,880 you, oh, carbs, rice, whatever. Like I don't spike. 366 00:16:37,000 --> 00:16:39,240 I don't spike with ice cream. I didn't spike with cookies. 367 00:16:39,400 --> 00:16:40,640 I'm not saying it's not it's good. 368 00:16:40,720 --> 00:16:41,520 I. Should try this. 369 00:16:41,640 --> 00:16:43,720 I hate blood. You know, I'm like a big fainter 370 00:16:43,720 --> 00:16:45,360 about blood, but you. Won't see any. 371 00:16:45,360 --> 00:16:46,600 It just like it goes into your arm. 372 00:16:46,600 --> 00:16:48,480 I know. And I take the shots with Govi 373 00:16:48,480 --> 00:16:51,760 so and I gave, you know, my wife, I think I can say this, 374 00:16:51,800 --> 00:16:54,080 all these IVF shots. So, you know, I'm used to, yes. 375 00:16:54,760 --> 00:16:57,720 Well, I mean, now I'm doubly confused about why you wanted to 376 00:16:57,720 --> 00:17:00,160 call it like blood point or whatever bad name you wanted to 377 00:17:00,160 --> 00:17:02,160 give to our conference that I'm afraid of. 378 00:17:02,160 --> 00:17:03,640 Blood. Well, it's just you got to lean 379 00:17:03,640 --> 00:17:04,800 into your weaknesses. All right? 380 00:17:04,800 --> 00:17:05,839 All right, Yeah, OK. Confront. 381 00:17:05,839 --> 00:17:08,839 Your fears OK, second trend whether you got this is? 382 00:17:08,880 --> 00:17:14,400 A big, big idea, but I'm just calling it friends to enemies. 383 00:17:14,480 --> 00:17:17,920 Like I think there are a lot of these companies that are just 384 00:17:17,920 --> 00:17:20,839 going to collide. You know, like certainly at all 385 00:17:20,839 --> 00:17:24,160 our AI events, you know, Open AI, Anthropic, Loom large and 386 00:17:24,160 --> 00:17:25,640 some of these companies build on top of them. 387 00:17:25,640 --> 00:17:28,200 But they're trying to make sure it's like we need you, but we 388 00:17:28,200 --> 00:17:30,720 can do our own thing. And then even all the companies 389 00:17:30,720 --> 00:17:34,000 in the space they're raising, it's such high valuations that 390 00:17:34,000 --> 00:17:37,520 they need to be everything. And so I think it's a small 391 00:17:37,520 --> 00:17:39,280 world. Everybody knows each other, they 392 00:17:39,360 --> 00:17:42,520 try to be friendly, but they also have these enormous 393 00:17:42,840 --> 00:17:44,680 valuations that they need to justify. 394 00:17:44,680 --> 00:17:47,400 And so I think there's going to be this, are we partners or are 395 00:17:47,400 --> 00:17:48,840 we competitors? And. 396 00:17:49,680 --> 00:17:52,160 I like it, yeah. I I kind of feel the frenemy 397 00:17:52,160 --> 00:17:55,280 frenemy ship that's that's evolving even as we're, you 398 00:17:55,280 --> 00:17:58,360 know, kind of prepping for this because partnerships are always 399 00:17:58,360 --> 00:18:01,160 an interesting reality in the healthcare space. 400 00:18:01,360 --> 00:18:04,880 I have a related one to this, which is race to the bundle. 401 00:18:05,040 --> 00:18:07,760 Race to the bundles. I think this is like, you know, 402 00:18:07,760 --> 00:18:10,200 I came up and kind of documentary film. 403 00:18:10,200 --> 00:18:13,840 I worked briefly at Jason Kyler's vessel had phrase $125 404 00:18:13,840 --> 00:18:17,440 million for like a short format video service that was going to 405 00:18:17,440 --> 00:18:19,080 window YouTube content for three days. 406 00:18:19,080 --> 00:18:22,280 I mean, I won't. I. 407 00:18:22,560 --> 00:18:24,920 Know, you know, I turned down an offer to be like employee number 408 00:18:24,920 --> 00:18:31,560 120 at Stripe to do that. It's on my list of interesting 409 00:18:31,560 --> 00:18:32,480 decisions. Yeah. 410 00:18:33,240 --> 00:18:37,960 But but what I will say is, you know, what you, what you've seen 411 00:18:37,960 --> 00:18:41,120 in the streaming wars, I think is, is really interesting 412 00:18:41,280 --> 00:18:43,520 because of this push, because of the trends that are happening, 413 00:18:43,520 --> 00:18:47,920 which is consumers as payers and increasingly subscription fees 414 00:18:47,920 --> 00:18:50,400 versus fee for service, which has been the historical model of 415 00:18:50,400 --> 00:18:52,880 healthcare delivery. You have data at your fingertips 416 00:18:52,880 --> 00:18:56,520 and subscription pay versus, you know, data in the hand of the 417 00:18:56,520 --> 00:18:59,360 clinician and fee for service. That's been on a huge shift. 418 00:18:59,560 --> 00:19:01,760 And as a result of that, I think it's like, OK, consumers are 419 00:19:01,760 --> 00:19:03,400 going to be like, well, how many, you know, I don't want to 420 00:19:03,400 --> 00:19:05,240 pay for Peacock and Netflix and Hulu and whatever. 421 00:19:05,320 --> 00:19:07,960 I love all you guys, Peacock and Netflix, Hulu, we love you guys 422 00:19:08,160 --> 00:19:11,520 of my pod, some of you. But I do think that there's 423 00:19:11,520 --> 00:19:14,920 going to be kind of a reckoning where not everyone can. 424 00:19:15,240 --> 00:19:17,080 Who are the big IPO? That's a big question I have. 425 00:19:17,080 --> 00:19:18,000 Who do you think are the big IP OS? 426 00:19:18,000 --> 00:19:20,720 Because I think we have some big IP OS coming to our conference 427 00:19:21,000 --> 00:19:21,640 future. Interesting. 428 00:19:22,080 --> 00:19:23,080 I mean, it's going to take a while. 429 00:19:24,040 --> 00:19:27,240 The funny thing is that this space has extreme hype and 430 00:19:27,240 --> 00:19:31,160 extreme pessimism in that biotech has been in a terrible 431 00:19:31,320 --> 00:19:34,760 downturn. But obviously computational AI 432 00:19:34,760 --> 00:19:38,640 based companies are raising a massive valuations and biotech 433 00:19:38,640 --> 00:19:41,960 companies are traditionally the ones that like go public early 434 00:19:41,960 --> 00:19:44,760 on. Where is the highly valued AI 435 00:19:44,760 --> 00:19:47,080 startups are like, I'll just raise from the private market. 436 00:19:47,080 --> 00:19:50,800 So I honestly, I don't have a great read on who's like about 437 00:19:50,800 --> 00:19:52,840 to go out. It's sort of a mixed. 438 00:19:52,880 --> 00:19:55,200 It's like, who can frame themselves which way? 439 00:19:55,320 --> 00:19:56,880 Yeah. I'll be curious to see, but I do 440 00:19:56,880 --> 00:19:58,800 think that some of these, you know, you have these companies 441 00:19:58,800 --> 00:20:01,440 that are all of a sudden, I think, you know, Aura did a 442 00:20:01,560 --> 00:20:04,720 partnership with, I'm going to forget the name, but Aura did a 443 00:20:04,720 --> 00:20:06,120 partnership with the CGM company. 444 00:20:06,120 --> 00:20:08,720 Now you know what CGMS are. So, you know, and it's not wear 445 00:20:08,720 --> 00:20:10,520 it all the time and it's something that the ring can't 446 00:20:10,520 --> 00:20:15,360 do, but it is, you know, how do you integrate that data around? 447 00:20:15,520 --> 00:20:17,720 They've always had this idea of experimentation at Aura. 448 00:20:17,720 --> 00:20:19,920 So like, can you not? Drink coffee for a couple weeks, 449 00:20:19,920 --> 00:20:21,880 can you not? And so this is a kind of in the 450 00:20:21,880 --> 00:20:24,480 model of experimentation, they can have these partnerships that 451 00:20:24,480 --> 00:20:26,600 are going to teach their consumers so much. 452 00:20:26,760 --> 00:20:29,320 The question is over time, do you develop a bundle? 453 00:20:29,320 --> 00:20:31,720 Do you acquire these companies you vertically integrate? 454 00:20:31,720 --> 00:20:34,160 Are you doing everything or does some strategic just come in and 455 00:20:34,160 --> 00:20:35,400 buy the thing? All right. 456 00:20:36,240 --> 00:20:38,680 So that was about bundling. Bundling. 457 00:20:39,680 --> 00:20:43,360 Services and companies. My third and final theme is 458 00:20:43,880 --> 00:20:47,120 drama blinders. It's like there have been major 459 00:20:47,400 --> 00:20:52,240 changes at the, you know, CDC obviously Maha is, you know, 460 00:20:52,240 --> 00:20:54,120 proposing a lot of things. Some people in the medical 461 00:20:54,120 --> 00:20:58,200 community will have, you know, are certainly more Dem aligned, 462 00:20:58,200 --> 00:21:00,040 I think. But I think that honestly, more 463 00:21:00,040 --> 00:21:02,320 than I think people sort of, I don't, I'm really interested to 464 00:21:02,320 --> 00:21:05,760 see, but I think a lot of people are going to be like doing my 465 00:21:05,760 --> 00:21:07,360 thing. I'm happy to work with the 466 00:21:07,360 --> 00:21:10,200 government where it's possible, like excited that they're taking 467 00:21:10,200 --> 00:21:11,080 swings. I don't know. 468 00:21:11,080 --> 00:21:13,120 I think there will be a lot of, there's so much going on. 469 00:21:13,120 --> 00:21:16,480 There's so much opportunity. I I think that there's going to 470 00:21:16,480 --> 00:21:20,600 be some desire to avoid. Confrontation not. 471 00:21:20,600 --> 00:21:23,320 Just with the administration, but just sort of like, you know, 472 00:21:23,400 --> 00:21:27,080 exact like this fitting with my first theme, like the longevity. 473 00:21:27,080 --> 00:21:29,640 It's like these are not the Brian Johnson's types. 474 00:21:29,640 --> 00:21:32,600 Like I I didn't extend, we didn't extend an invitation to 475 00:21:32,600 --> 00:21:35,440 Brian Johnson here partially because I wanted sort of like 476 00:21:35,440 --> 00:21:39,160 the real like a builder class of people here. 477 00:21:39,160 --> 00:21:41,080 And I do think a lot of the people who are going to be 478 00:21:41,080 --> 00:21:43,360 speaking are like, not necessarily trying to, you know, 479 00:21:43,360 --> 00:21:47,040 they're not selling like what some, you know, I don't know, 480 00:21:47,040 --> 00:21:49,240 like what what are they even called supplement or whatever. 481 00:21:49,240 --> 00:21:52,000 You know, I, I just think we're not going to have sort of the 482 00:21:52,000 --> 00:21:54,840 grifter class here, which you can often see in longevity. 483 00:21:54,840 --> 00:21:58,160 And we're not going to see people looking to like, fight 484 00:21:58,160 --> 00:22:01,280 with the administration. And so drama blinders maybe 485 00:22:01,280 --> 00:22:04,960 doesn't even fully capture it. It's sort of like, yeah, hard at 486 00:22:04,960 --> 00:22:06,080 work. Focus on their thing. 487 00:22:06,240 --> 00:22:07,800 I don't know. You know, since the pandemic, 488 00:22:07,800 --> 00:22:10,480 there has been this real politicization of healthcare. 489 00:22:10,480 --> 00:22:14,400 We have seen for sure. And it is even through this last 490 00:22:14,400 --> 00:22:18,560 week when we have seen the CDC appointee from the Trump 491 00:22:18,560 --> 00:22:21,440 administration is no longer holding the job. 492 00:22:21,440 --> 00:22:25,040 All of a sudden, there's been a, you know, acting CDC director 493 00:22:25,040 --> 00:22:27,800 appointment for Deputy Health Secretary Jim O'Neill. 494 00:22:27,800 --> 00:22:29,360 I mean it makes. Sense I mean this is these are 495 00:22:29,360 --> 00:22:31,560 his people he was in Silicon Valley. 496 00:22:31,800 --> 00:22:34,680 Like, I think for the Trump administration to have a super 497 00:22:34,680 --> 00:22:37,840 positive health agenda besides, you know, maybe something like 498 00:22:37,840 --> 00:22:41,160 the food quality stuff, having us sort of work around what's 499 00:22:41,160 --> 00:22:42,760 happening in AI makes a lot of sense. 500 00:22:42,760 --> 00:22:45,280 So yeah. So it's it's a natural place for 501 00:22:45,280 --> 00:22:46,120 him to be. Yeah. 502 00:22:46,120 --> 00:22:47,240 So. Jim O'Neill's has roots in 503 00:22:47,240 --> 00:22:50,320 Silicon Valley, had worked in HHS under, you know, Bush 43 504 00:22:50,320 --> 00:22:53,920 administration, had been the CEO of the Teal Foundation, worked 505 00:22:54,520 --> 00:22:57,120 at various investment firms in the Valley for a long time. 506 00:22:57,120 --> 00:23:00,640 But there is a really interesting shake up happening 507 00:23:00,640 --> 00:23:04,160 in American healthcare. There is a lot of media coverage 508 00:23:04,160 --> 00:23:06,360 about that. I think that there is a real 509 00:23:06,360 --> 00:23:09,360 question around future of science, the role of private 510 00:23:09,360 --> 00:23:11,800 sector companies, role of the public sector. 511 00:23:11,800 --> 00:23:15,680 You're seeing and the big beautiful bill cuts to you know, 512 00:23:15,680 --> 00:23:17,880 health provision programs, particularly Medicaid. 513 00:23:18,160 --> 00:23:20,800 You're also seeing these big off branches extended to private 514 00:23:20,800 --> 00:23:22,920 companies. New more companies are actually 515 00:23:23,120 --> 00:23:27,240 working with CMS and HHS on this great data collection. 516 00:23:27,320 --> 00:23:31,960 I'm really interested to hear about what what is the future of 517 00:23:31,960 --> 00:23:33,520 healthcare? What is the conversation that's 518 00:23:33,520 --> 00:23:35,520 happening in Washington, What it what is the role of Silicon 519 00:23:35,520 --> 00:23:37,240 Valley, what is the role of science, etcetera. 520 00:23:37,440 --> 00:23:41,360 We have a lot to discuss, but my last theme, the end of privacy. 521 00:23:41,360 --> 00:23:43,600 Oh, interesting. That's a good difference like. 522 00:23:43,600 --> 00:23:45,680 What even is HIPAA anymore? Right? 523 00:23:45,680 --> 00:23:47,920 Like HIPAA who? Wants it, you know. 524 00:23:48,400 --> 00:23:50,560 Like all of a sudden silicon. Valley alive on it. 525 00:23:50,800 --> 00:23:51,840 But it's just like for all of us. 526 00:23:51,840 --> 00:23:53,880 You're taking, you're putting devices to yourself. 527 00:23:54,040 --> 00:23:56,160 It's just like, yeah, I feel like, by the way. 528 00:23:56,240 --> 00:23:59,520 I am like somebody who doesn't have my memory on on Chachi PT 529 00:23:59,520 --> 00:24:02,680 and I'm like, let me give you my minute to minute blood glucose 530 00:24:02,680 --> 00:24:05,760 data. You know, I never have been a 531 00:24:05,760 --> 00:24:08,480 big privacy person I want. These companies have the. 532 00:24:08,480 --> 00:24:10,880 Information, yeah. And that's where I think the 533 00:24:10,880 --> 00:24:12,080 integration is really interesting. 534 00:24:12,080 --> 00:24:14,560 And that's actually where, I think, you know, there's been 535 00:24:14,560 --> 00:24:18,640 some surprising moves out of DC, including, you know, the stake 536 00:24:18,640 --> 00:24:21,800 and Intel, right? We did not expect a Republican 537 00:24:21,880 --> 00:24:25,240 Party to be doing, you know, joint stock ventures in the mode 538 00:24:25,240 --> 00:24:27,840 of, you know, percentage stakes in private companies. 539 00:24:27,840 --> 00:24:30,920 I used to see that when I worked in Vietnam in my past 100 lives. 540 00:24:31,040 --> 00:24:33,080 But they are the ones that they're pushing for this great 541 00:24:33,080 --> 00:24:35,560 data integration across all these streams. 542 00:24:35,560 --> 00:24:37,760 Now, there's also a lot of, you know, concerns about that you 543 00:24:37,760 --> 00:24:39,520 hear, particularly for women and their fertility. 544 00:24:39,640 --> 00:24:41,760 I'm curious to talk to Maven and Nora about this. 545 00:24:41,760 --> 00:24:44,880 Like, there's a lot happening unfolding in the world of 546 00:24:44,880 --> 00:24:47,160 privacy and data. And what does your private 547 00:24:47,160 --> 00:24:49,240 health data mean? And can it save other people's 548 00:24:49,240 --> 00:24:51,840 lives as you know, mission to actually sharing? 549 00:24:52,040 --> 00:24:54,640 I'm interviewing Han Pack, you know, Samsung's top health 550 00:24:54,640 --> 00:24:57,600 executive and obviously they take data very seriously. 551 00:24:57,880 --> 00:25:00,080 I mean, they have an interesting position that a lot of their 552 00:25:00,080 --> 00:25:03,800 devices customers are not buying in necessarily with health as 553 00:25:03,800 --> 00:25:06,160 the first and only thing. So you have to balance what do 554 00:25:06,160 --> 00:25:09,320 people think about this devices for while providing value to 555 00:25:09,320 --> 00:25:11,000 people who want health information. 556 00:25:11,000 --> 00:25:13,560 And so I think they're interesting trade-offs there, 557 00:25:13,600 --> 00:25:14,560 yeah. So we'll see. 558 00:25:14,560 --> 00:25:17,560 End of privacy, maybe the end of longevity. 559 00:25:17,960 --> 00:25:20,720 Frenemies galore. This is going to be so much fun. 560 00:25:20,720 --> 00:25:24,000 Longevity in a in it's sort of gone mainstream moment. 561 00:25:24,000 --> 00:25:26,680 Yeah, I'm I'm really excited. I think there's a lot we're not 562 00:25:26,680 --> 00:25:30,040 even thinking about yet. I mean the potential, you know, 563 00:25:30,040 --> 00:25:33,320 if any one of these companies that we talked to discovers, you 564 00:25:33,320 --> 00:25:37,120 know, the next satin, the next GLP one, it'll be amazing. 565 00:25:37,120 --> 00:25:40,200 You know, 1 discovery like that could be transfer informational. 566 00:25:40,480 --> 00:25:43,880 I think, you know, on the flip side in AI, I think, you know, 567 00:25:43,880 --> 00:25:48,200 while we've seen progress from people like Alphabet and there's 568 00:25:48,200 --> 00:25:52,680 still like, you know, AI producing novelty is still in my 569 00:25:52,680 --> 00:25:55,120 mind an open question as somebody who follows this. 570 00:25:55,120 --> 00:25:56,240 Seriously. And. 571 00:25:56,280 --> 00:25:59,800 There's nowhere we want it more than in health, right? 572 00:25:59,800 --> 00:26:03,040 We want some novel thing that humans couldn't figure out. 573 00:26:03,280 --> 00:26:05,600 And so I think taking the temperature on everybody on, 574 00:26:05,600 --> 00:26:09,000 like, will AI be able to produce something new? 575 00:26:09,000 --> 00:26:11,840 I'll be interested to hear. Yes, I, I mean, one thing I 576 00:26:11,840 --> 00:26:16,200 didn't mention and it was part of my kind of end of 1 thesis is 577 00:26:16,360 --> 00:26:20,840 this huge move into genomics and baby sequencing. 578 00:26:20,960 --> 00:26:23,240 We have Robert Green coming from Harvard Medical School. 579 00:26:23,240 --> 00:26:25,920 He's done the he's overseeing the greatest kind of genetic 580 00:26:25,920 --> 00:26:28,640 sequencing project as it relates to babies and children. 581 00:26:28,920 --> 00:26:31,000 That was done in the UK where there is a preponderance of 582 00:26:31,000 --> 00:26:32,520 data. So I think like the unlocking of 583 00:26:32,520 --> 00:26:35,880 data allows a ton of research, a lot, a lot of discovery. 584 00:26:36,160 --> 00:26:39,240 It's a huge shift. But like, I think we should add 585 00:26:39,240 --> 00:26:41,880 on a bit of a sci-fi future prediction of the. 586 00:26:42,200 --> 00:26:46,560 But there is something in, you know, in the film Gattaca or, or 587 00:26:46,600 --> 00:26:49,280 as my cousin in Pakistan, Omar called it when we went to rent 588 00:26:49,280 --> 00:26:51,840 it from the movie store, Gattaca, Gattaca, the Ethan 589 00:26:51,840 --> 00:26:53,320 Hawke film. You know what I'm talking about. 590 00:26:53,840 --> 00:26:54,920 Gattaca. I've heard of it. 591 00:26:55,080 --> 00:26:55,800 Yeah, yeah. I don't know. 592 00:26:55,800 --> 00:26:57,520 I don't know if I've actually watched it it. 593 00:26:58,080 --> 00:27:00,280 Was like, really? It's like from like, I'm like 594 00:27:00,280 --> 00:27:01,440 sci-fi. Babies. 595 00:27:01,440 --> 00:27:04,040 But this idea of like kind of choosing your baby and what 596 00:27:04,040 --> 00:27:08,160 color eyes, etcetera, etcetera. I mean, we're in a world where 597 00:27:08,160 --> 00:27:12,000 that is not, that is not necessarily where we're going, 598 00:27:12,000 --> 00:27:17,720 but the idea that you can know from the, you know, from, from 599 00:27:17,720 --> 00:27:23,960 the biology and the genetics of an embryo or a newly born child 600 00:27:24,360 --> 00:27:28,160 what is likely to happen to them in the course of their life. 601 00:27:28,200 --> 00:27:31,000 And that they could maybe have customized healthcare that 602 00:27:31,000 --> 00:27:34,960 anticipates that, sees the signs of that early on and potentially 603 00:27:34,960 --> 00:27:37,800 has customized drugs to deal with these interventions. 604 00:27:37,800 --> 00:27:40,480 I mean, how we're going to do this at scale for everybody. 605 00:27:40,480 --> 00:27:43,520 And this doesn't become like a great luxury, like the great 606 00:27:43,720 --> 00:27:46,720 business class of Healthcare is going to be something to say, 607 00:27:46,720 --> 00:27:50,560 but we've already seen so much real technological movement and 608 00:27:50,560 --> 00:27:52,240 a lot of this is going to be unleashed through AI. 609 00:27:52,240 --> 00:27:55,040 It's like the back end stuff. And a lot of these companies 610 00:27:55,040 --> 00:27:58,040 that we're seeing of how using AI and clinical trials, how are 611 00:27:58,040 --> 00:28:01,040 you seeing AI optimize A diagnosis? 612 00:28:01,160 --> 00:28:04,440 Those companies are, yeah. I mean, my other, you know, 613 00:28:04,440 --> 00:28:07,480 personal health journey is just, you know, my wife weeded out 614 00:28:07,480 --> 00:28:12,240 Bracha from our child that is due soon after this conference. 615 00:28:12,240 --> 00:28:15,080 So it'll be interesting. I'm obviously that's a deeply 616 00:28:15,080 --> 00:28:17,720 personal theme. And then I'll be seeing this 617 00:28:17,720 --> 00:28:20,240 whole conference just from the perspective of what what's my 618 00:28:20,240 --> 00:28:23,120 kid going to get or like what's what's this kid going to benefit 619 00:28:23,120 --> 00:28:26,040 from? And it definitely gives you, you 620 00:28:26,040 --> 00:28:27,480 know, it'll give me a different perspective. 621 00:28:27,480 --> 00:28:29,480 Wait, Naima. So excited to do this. 622 00:28:29,480 --> 00:28:31,440 I think it's going to be a really fun event. 623 00:28:31,720 --> 00:28:33,600 Obviously, not everybody listening to this is going to 624 00:28:33,600 --> 00:28:38,080 get to go in person, but we will be publishing videos as always 625 00:28:38,080 --> 00:28:41,320 from the event and writing up sort of the key takeaways in the 626 00:28:41,320 --> 00:28:44,480 sub stack. So subscribe to Newcomer and go 627 00:28:44,480 --> 00:28:47,280 listen to smart Girl dumb questions. 628 00:28:47,360 --> 00:28:49,320 Naima Raza, thanks so much for doing this with me. 629 00:28:49,400 --> 00:28:51,200 Thank. You so much Eric gives me fun. 630 00:28:51,200 --> 00:28:53,640 See you on Tuesday. Sounds good. 631 00:28:53,760 --> 00:28:54,280 All right. See ya. 632 00:28:54,280 --> 00:28:54,480 Bye.