# How OpenAI Is Helping People Take Control of Their Health | Fidji Simo **Channel:** Mark Hyman, MD **Source:** https://www.youtube.com/watch?v=b_IfEz1s1cc **Transcript page:** https://www.withtranscript.ai/video/b_IfEz1s1cc ## Chapters - 0:00 — Episode Introduction and Health Data Challenge - 3:06 — Personal Health Journeys and System Medicine - 7:20 — AI Empowers Personal Health Data Integration - 12:32 — Real-World AI Health Use Cases and Insights - 19:08 — Building ChatGPT Health and Key Partnerships - 26:58 — Future Vision for AI in Healthcare and Research - 33:46 — Democratizing Health Data and Closing Thoughts ## Transcript **[0:00] Speaker A:** Most people know better how to operate their phone or their car than they know how to operate their body. Nine out of 10 people don't know how to navigate their own health information, and even most doctors probably don't. And so we had this moment in history where we're in right now. It's going to allow us to really unlock this Fiji. Simo is CEO of Applications at OpenAI, where she leads products like ChatGPT and oversees the company's global operations. **[0:20] Speaker A:** Big job. She's a veteran tech leader and a former CEO of Instacart, and she brings deep experience building and scaling some of the world's most influential consumer platforms. **[0:29] Speaker B:** I was hospitalized, I developed an infection, and the nurse arrives and she's like, I need to administer an antibiotic. I put the name of the antibiotic in ChatGPT, and so it immediately told me, hey, this antibiotic is standard, but in your case, it might reactivate a really serious infection that I had had a couple years prior. So I said that to the resident. The resident was actually totally relieved because she told me, I have five minutes to make the round. I cannot look at someone else records five years ago, and I'm really glad that you picked that up. One of the most important decisions of my life would have kind of messed up if it wasn't for AI helping connect the dots. I had seen 20 doctors, but not a single one of them had looked at the whole picture and was able to analyze all of this data and give me patterns that you can only detect when you see that whole picture. **[1:18] Speaker B:** That confronted me to the healthcare system in a big way and realized all of the shortcomings of being able to treat chronic illness. **[1:27] Speaker A:** There's a specialty for every part of your body, and there's literally a doctor for every inch of you. And I think what most doctors miss is the body's one network, and networks are hard to understand. And now with AI and with ChatGPT Health and with Function Health, we're able to start to gather our own data in ways we never could before. Hey, it's Dr. Hyman. I'm so excited to share this episode with you today, but before we dive in, I want to get your help. Please take a minute to hit that subscribe button. Whether you're watching here on YouTube or listening on your favorite podcast platform, it truly means the world to me and it helps my team. And I bring you this podcast every single week. Plus, I don't want you to miss a thing. So thanks so much for being part of this community And I'm glad you're here. **[2:06] Speaker A:** Welcome, Fiji, to the podcast. It's so good to have you. **[2:09] Speaker B:** Great to be here. Thanks for having me, Mark. **[2:12] Speaker A:** Well, everybody who's listening is probably wondering why I'm having you on the podcast about health. **[2:18] Speaker A:** But as it turns out, you've just taken on the role of CEO of Applications at OpenAI, otherwise known as ChatGPT for most people, and you are launching as your first initiative, the health focus of ChatGPT was ChatGPT Health. To me, that's so exciting because you could have done a million things, but you're focusing on this really revolutionary approach to helping people understand their own health. Now, most people know better how to operate their phone or iPhone or their Android phone or their car than they know how to operate their body. And we were just chit chatting a little before we said 9 out of 10 people don't know how to navigate their own health information. And even most doctors probably don't. **[3:00] Speaker A:** You know, honestly, it's hard when you're sick to figure everything out. And so we have this moment in history where we're in right now. **[3:06] Speaker A:** It's going to allow us to really unlock this, and your efforts are really are accelerating this. And before we get into kind of what the potential is for AI and health and what the potential is for people to understand their health better, to end suffering that we now have the answers to, but they're not getting, I want to kind of talk a little bit about your suffering and my suffering, because we both kind of have a similar history of having a condition that's poorly understood, that's poorly diagnosed, that's poorly treated, that causes a lot of pain and suffering that's not in our head, but is a real phenomenon that happens that we haven't been able to help. You know, maybe you could start out by sharing a little bit about your health journey and how you got into all this and why this is so important to you, because you've not just, you know, not just leading this from a. **[3:53] Speaker A:** From within AI, but you also have another company that's helping to sort of unlock the mysteries of chronic illness, which I got so excited about when I saw. **[4:00] Speaker B:** Absolutely. So, yeah, to share a little bit about my own health journey. I was very healthy until I got pregnant in 2015. I had a pretty rough pregnancy. And then after the pregnancy, I started having all kinds of weird symptoms. I started fainting a lot, being very shaky, exceptionally tired. And as you can imagine, doctors at the time told me, you're just a tired mom. You're deconditioned, it's okay. Like, you know, nothing wrong with you. **[4:27] Speaker B:** And I kind of miraculously recovered, you know, nine months later. But after the pregnancy. But a couple years later, I had the surgery for endometriosis. And after that surgery, the same symptoms recurred. I started fainting a lot, started being very dizzy. My heart would go, like, super high as soon as I would stand a constellation of, like, mystery symptoms. And that's when I was diagnosed with a neuroimmune condition called postural orthostatic tachycardia syndrome, which is a mouthful that then evolved into chronic fatigue syndrome and is pretty debilitating. Like, you know, I, I am still dealing with the symptom. And that means that, you know, I can't stand for long periods of time without fainting. I end up, you know, having, you know, fatigue much, much faster than normal people. **[5:19] Speaker B:** And so, you know, that, that confronted me to the health care system in a big way and realize all of the shortcomings of being able to manage illness. **[5:29] Speaker A:** That's very frustrating as a, as someone who's got access to anything, anybody, anywhere on the planet, and still not to be able to get answers because we're looking at things through the wrong lens. And, you know, I think, you know, in reading some of the work you've done, I encourage everybody to read your, your substack article on ChatGPT Health, which really lays this whole problem out. And you talk about how you went to different doctors for different symptoms, but you're one body, and, and everything is connected and there are root causes and there are fundamental biological systems. And I also, when I was younger, first got into all this because I ended up having chronic fatigue syndrome. I went from riding my bike 100 miles a day and, you know, being able to remember 30 patients charts without taking any notes all day, to not be able to walk up the stairs or know where I was at the end of a sentence. **[6:16] Speaker A:** It turned out I had mercury poisoning from living in China. And that's a whole long story. But my whole system just clapped from one day to the next. I went to doctor after doctor. I went to Columbia, I went to Harvard. I'm sure as you did, and no answers. You know, oh, you're stressed. Oh, take some Xanax. Oh, take some Prozac, you know, like, you know, and I knew I wasn't crazy. **[6:38] Speaker A:** And I was highly motivated, highly engaged person. And all of a sudden I could barely function. And it took me a long time to dig out of that. And I think, you know, what I discovered was that the body is this incredibly complex network. As an individual doctor, it's very hard to understand that the massive complexity that's a human body. We've got 40 trillion cells. We' you know, billions of chemical reactions, billions of trillions of chemical reactions happening every second in the cell, in the body. There's so much scientific literature and no one person can put that all together. There is an operating system that's we call network medicine, or systems medicine, that's preventive, proactive, predictive, participatory, as you've written about. **[7:20] Speaker A:** And it's so good at helping people understand these complex chronic illnesses. But traditional medicine is just so slow to change. As a doctor, I know that it took 50 years from the time Semmelweis discovered we should wash our hands before surgery till doctors believed that we should wash our hands before surgery. Right. So it's kind of like that. And now with AI and with ChatGPT Health and with Function Health, we're able to start to gather our own data. We're start to make sense of our own data in ways we never could before. So it's super, it's super exciting. And I think you struggled even as a person, you know, who's had access to figure this out. And I, and I feel bad because that's really what I get every day, because I want to. I want to have people be empowered to end needless suffering and to get help whatever they can from, from the world's, you know, incredible scientific knowledge that we, most of us, don't have the ability to sort through, understand and make sense of. **[8:10] Speaker A:** But now we, we start, we're starting to be able to do that with AI and health, which is pretty exciting. **[8:15] Speaker B:** And I'll tell you, I mean, your, your, what you're saying resonates so much. I saw 20 specialists, everyone looking at just like one particular symptoms. And if you look at my disease, it's a mix of immune dysregulation, nervous system dysregulation, so that impacts the entire body. But meanwhile, you have the GI doctor that's just focused on your GI symptoms. And cardiologist was just thinking that your heart rate is fast, but not really connecting that with the fact that it's a neurological symptom. When I got diagnosed, it was interesting because I had this very naive idea that there were plenty of doctors behind the scenes who were all working to make sure that these conditions would get cured. And I realized, oh, actually, there isn't that much, much happening that can actually advance scientific discovery. So I ended up hiring a teaching assistant at Stanford to teach me genetics and like basically the whole body system. **[9:09] Speaker B:** But I'm like that's crazy. Like who has the resources and the time to do that? And that's what made me so passionate about making sure that everyone can understand their own health. Level the playing field with doctors because ultimately it's your life and really desilo the healthcare system which is not working as is. And especially when you look at like the burden of chronic illness in the country right now, about like 85% of healthcare costs is coming from like these complex chronic disorders. All of these multi systems are not focused on one organ. **[9:45] Speaker B:** So you have a diet health system that's very organ focused. And meanwhile sick people were falling apart from head to toe and are struck with figuring out how to get out of that. So you know, I'm, I'm really thinking about how AI can help, but also we can like reform the healthcare system to adapt to what people are going to need in the future. **[10:07] Speaker A:** Well, I think that's exactly right. I mean, you know, it is, is two pronged really. One is helping individuals understand their own health in a way that was never possible before from their lab data. Function allows people to do that from imaging and function allows you to do that through wearables which integrate now into function through any lab that you've ever had done. You can upload into health vault and get all that information. And also you can access all the scientific literature in the world and all knowledge, expert training and all the genetics and your microbiome and your metabolome and toxin levels and measuring things that we never could measure before. And now we're doing it at radically deflationary prices and at great scale. **[10:49] Speaker A:** No individual doctor can make sense of that, but it's going to tell a story about what's going on with you that might otherwise think about. And the narrative you said was really important. There's a specialty for every part of your body and there's literally a doctor for every inch of you. I mean it's so, it's so subspecialized now. And I think what most doctors miss is the body's one network and, and networks are hard to understand. **[11:10] Speaker A:** They're complex. I mean you've got biology, you've got chemistry, you've got physics, you've got all of it together in the body and it's just impossibly reductionist about it. And that's what medicine has been. But now with, with our ability to sort of source, the whole world knowledge, sort of like the, like a gigantic library of Alexandria in a way, we can suddenly actually have insights about things and learn things. So not just for individuals, but we also accelerate science and change the paradigm. And I think that's what's exciting to me. So I think medicine is going to be shifted from the outside, you know, just like many other industries were shifted by, you know, like phones were disrupted by Apple or music by itunes, you know, Spotify. These are, these didn't come from within the industry. And I think this is what's. What's so exciting to me because, you know, like you said, doctors try their best, the healthcare system does its best, but it's sort of stuck in this antiquated model. **[11:57] Speaker A:** I really want to hear how you use AI for yourself because you've tried to figure this out as an individual. Like, what's wrong with me? Why do I feel like this? What are the causes? What do I do? Like, what is my doctor telling me? How have you used it for yourself? **[12:09] Speaker B:** The main thing is exactly what you said. It's connecting all of the data about me in one place so that it can be analyzed. And like, the first time it happened and I connected my health records, my Apple health data, all of my, you know, past labs, my medical history, all in one place in ChatGPT and just ask ChatGPT, like, hey, are there patterns that you're detecting? **[12:32] Speaker B:** That would be interesting. I also uploaded my whole genome in there. I was blown away because I had been, you know, again, I had seen 20 doctors, but not a single one of them had looked at the whole picture and was able to analyze all of these data and give me patterns that you can only detect when you see that full picture. So that has been really helpful in like, finding new avenues to explore, getting new ideas, not having to read all of the, you know, studies coming out because, like, was the time, like, I get a summary every morning on, like, new studies on my condition. I get a summary from, like, new treatments that people on Reddit are trying out because we spend so much time when we're sick on forums trying to figure it out. **[13:14] Speaker B:** Now ChatGPT does that for me. So that has simplified my life in a very big way and in an even more concrete way to give you a real story. Last year I was having a kidney stone. I was having surgery and I was hospitalized. I developed an infection. **[13:30] Speaker B:** And the nurse arrives and she, I need to administer an antibiotic for your. Your urine test came back, you know, with an infection. And I was like, hey, like I'm totally fine with that, but can you wait a minute? I just want to check something. And I put the name of the antibiotic in ChatGPT and already had all of my health records, right? **[13:52] Speaker B:** And so it immediately told me, hey, this antibiotic is standard for uti, but in your case, it might reactivate a really serious infection that I had had a couple of years prior, cdf and it's like, like you really shouldn't use that one. There's a better one to use that will do the job, but without risking, you know, messing up with your microbiome. And so I said that to the resident and I was expecting pushback. And in fact the resident was actually totally relieved because she told me, she's like, I have five minutes to make the rounds. I cannot look at like someone else records five years from ago. **[14:29] Speaker B:** And I'm really glad that you picked that up because that could have been really bad. So I'm glad that I can now give you the right antibiotic. And that made me realize, wow, like again, one of the most important decisions of my life would have been kind of messed up if it wasn't for AI helping connect the dots. **[14:46] Speaker A:** Fundamentally that's such an important story. And you're right. Doctors are relieved because like you got five minutes, you got 40 patients, you're running around like crazy, you don't have time to research everything. You know, even with, with AI, it's still hard. What, what did you learn Fiji about your health that was novel or new that helped you when you started to put all your records into ChatGPT? **[15:06] Speaker B:** My whole genome was really interesting because it's not that I had like genes that were like very clearly pathological, but because of certain compensation, I was able to shad GPT started telling me some potential drugs that doctors hadn't thought about that because of my genome could be interesting. And they ended up really helping. So that was really helpful. It also detected that, you know, I needed like B vitamins that were methylated and like things that doctors hadn't dug into. And you know, that was really interesting because years ago there was this promise of genetics, like changing the whole medical world. And the reality is that it doesn't happen, right? It does happen in cancer, but like for your day to day care, for a regular chronic illness, your doctor is not analyzing your whole genome and telling you to change your nutrition based on your genome, right? **[16:00] Speaker B:** But all of this data is available and actionable and could help patients really improve. And so to me, like that Combination really helped. And then combining that with apple health and really being able to see like, oh, actually your HRV is way better when you go to bed a little bit earlier and like you have a better symptom day after you do that. Just correlating all of these data sources was really magical. And that's what we're hoping to do with, you know, ChatGPT Health and, and making sure that you can have all of the right input so that your personalized health agent gets to know you better than anyone else and can really do true personalized advice, which was the promise of personalized medicine. But again, we didn't get there. **[16:46] Speaker A:** I think you're right. You know, I think a couple important points here. One is according to some recent data, 93% of your health outcomes and longevity are not determined by your genetics or determined by what we call your exposome, what your genes are exposed to and how they get expressed depending on that. And you, you mentioned, you know something quickly which, which involves you need a different form of B vitamins. **[17:05] Speaker A:** We're not looking for mutations, particularly in your genome. We're looking for variations in your genetics that affect how your body functions. And you need a particular form of B vitamin that bypasses a step that's kind of sluggish. It's not a, it's not like a pathology per se, but it's just a little bit of a quirk. And you know, for example, one third of our DNA codes for enzymes. Enzymes run all the chemical reactions in our body. Every enzyme needs a helper. Each helper is a vitamin or mineral. And so there's a huge variation. The nutrient needs in a population never is looked at by doctors. I don't even even probably know about half of them know about this. I mean some of them might know about this gene MTHFR that I think you have. But you know, it's not that hard. And now we went from a billion dollar genome when it was first decoded to a $300 genome. **[17:51] Speaker A:** So it's really accessible for almost everybody and all you have to do it once in your life. **[17:55] Speaker A:** And so now you're right, you can say, hey, what should I be thinking about that I didn't know and how could I be helped? And I wonder if there were any other things that it suggested to you from a causal perspective or any kind of things that your doctors hadn't suggested besides like what vitamins to take or what drugs to take. **[18:10] Speaker B:** Yeah, I think it was mostly like challenge with chronic illness, as you know, is that you rarely collect one diagnosis. When you have one, you start collecting a lot of problems. Which also points to the fact that traditional medicines put labels and conditions, but doesn't understand biology. **[18:29] Speaker B:** And so what was helpful? Actually have ChatGPT tell me, like, hey, yes, you have like, you know, five different diagnoses, but fundamentally it's only one thing. You have like this dysregulation of the nervous system and these are even some lifestyle, you know, changes you can make activating the vagus nerve and like things like that that could potentially calm your system down. And so again, it's like finding pattern cross, like a variety of constellation of symptoms and diagnostic, et cetera, trying to solve them one by one and trying to solve the underlying problem, which has been just really helpful. **[19:08] Speaker A:** Well, it's amazing. **[19:08] Speaker A:** I mean, without being a doctor or healthcare person, you're a tech person, you're a business person, you sort of stumble upon what is the future of medicine, which is understanding the body as an entire ecosystem. That's a network that has root causes, that there's fundamental systems that affect everything. In my first book over 20 years ago, I had a chapter that was called if you know the name of your disease, you don't know what's wrong with you, right? It's just the name of the disease. It doesn't tell you the why, it tells you the what. **[19:39] Speaker A:** And I think saying you have POTS is just the name of a syndrome. It is just a fancy medical word for saying when you stand up, you get dizzy and your heart rate goes up. That's what it means in English, but it's a fancy word. Postural orthostatic tachycardio syndrome, blah blah, blah. And I think we make all these fancy sounding things when we don't know what we're doing. **[19:59] Speaker A:** And the truth is there are root causes, there are reasons this is happening. There is a way to understand how to treat the system. And I think with the advent of AI applied to our personal health data set, which we've never really had the ability to do before, we're going to be able to really accelerate discovery in medicine, you know, accelerate people leaving all kinds of chronic illnesses. You know, I was able to cure my chronic fatigue syndrome, which you know, most people would say is incurable, just like people say POTS is incurable, but it's not. And I'll help you if you want figure it out. Right. So I'm wondering why OpenAI and you in particular, head of apps, decided to start with health. Was it because of your health condition or Was it because of the fact that 230 million people a week ask ChatGPT about their health? **[20:46] Speaker B:** Definitely. The leading cause was we saw that this behavior was already happening. Like, you know, some of the best stories that I hear about like, you know, helping people with their health, it's 230 million weekly, it's 40 million people daily, it's billions of conversations a week, it's 5% of total conversation. So that gives you a sense like of the scale that this is already operating at. So when we saw that and we hadn't really done anything, you know, super specific for healthcare on the product side, we had done a lot on the model side to answer question in, in the right, accurate, factual way. But on the product side we realized actually there is a lot to do to build upon this use case. And if we could get people to connect to their health records in a much easier way, which right now is very hard, if we could get them to connect to Function Health and pulling their data from there, from Apple Health, like now the models are powerful enough that they can extract insights out of this data in a way that no one else can. **[21:53] Speaker B:** And so that was the impetus behind ChatGPT Health. And my own experience certainly influenced that because I was already really primed to think about how we remove silos and, and how like the defragmentation of information could lead to much better insights. The other thing that was interesting in my mind is like, you know, as, as you know better than anyone, health care is really sick care. It's like you go there when you're sick, whereas really what we need is preventative health. But preventative health, when Doctors only have 15 minutes for you is not going to happen that way. **[22:29] Speaker B:** Whereas with strategy you can have literally a health coach like in, you know, in relationship with you every day telling you like, okay, this is how you slept yesterday based on the data on your co wearing today you should do this kind of exercise, you should eat this kind of food and then tomorrow we'll reassess again and like having that kind of assistant to really help you with your health every day, not just when you're sick, not just when you're seeing the doctor. That's really what gives me hope that we could get to the root of chronic illness because so much of it is lifestyle related. **[23:02] Speaker A:** Yeah, and I think you just hit on something super important is that most of medicine is focused on disease and on treating disease. And yes, there is prevention, which is, you know, mammograms and colonoscopies and Checking your cholesterol and PSA and getting a bone density, and that's all important. That's all important. That's how we typically think of prevention in medicine. You know, take your statin, take your aspirin, and that's okay. But. But that's. That's not true prevention. That may be early detection. And also, it's not about creating health. And so what I think for the first time we're really beginning to understand is what is health? I mean, I never got a class in medical school that said, here's how to create health. Creating Health 101 for doctors, like, didn't exist. You know, no clue. If you go to your doctor, say, doc, you know, I'm okay. **[23:50] Speaker A:** I don't have a disease, but I want to be, like, really healthy. Like, what do I do? They go, well, eat better, exercise, get enough sleep, don't be too stressed. Like, it's very platitudinous and not very specific, and it's not personalized. But now we're having precision health, precision nutrition, precision medicine in a way that we've never had before. And it really allows us through depersonalization, which can only be done through something like AI and through understanding the science of health. Not just what is the science of disease, but what is the science of health? What is a healthy human even defining that? We haven't never defined that. It's crazy. You put your car into the computer at the. At the auto shop, and it reads a thousand different metrics and tells you what's a little bit off in here. I mean, if your HRV goes down by 10 points one night, it's not a disease, but it's giving you a clue that you're not exactly where you should be. **[24:41] Speaker A:** Right? So. So that's what's so exciting to me is we're able to help people understand not just to treat disease or prevent disease, but how do we actually create health? And that's where this becomes really, really exciting for me. I'm wondering, like, how you. How you see ChatGPT Health working along partners like function and collaborating and integrating with them. **[25:01] Speaker B:** Well, I think partners are absolutely critical because the whole point, as I was saying, was, like, having one place where all of these different parts of your house can be connected into so that we can see the full picture. And right now, you know, we, like, rely on partners to be able to do that because everyone has kind of a different lens. Like, you go to Apple Health and you're going to get a lot of the, you know, Lifestyle data, you go to function and you're going to get a lot of, like, the biomarker markers, health records are going to tell you different stories. So to me, it's really about, like, how can we partner with as many players as possible so that the end user has a full picture of their health across many different sensors, many different biomarkers. **[25:44] Speaker B:** And that way we can do the best job possible at helping them personalize everything for, you know, their lifestyle. So that's, that's super important for us. And then there's also a type of partner that's more about being able to take action. You know, we're in partnership with Instacart, and I was a CEO of Instacart before coming to OpenAI. And that's a good example of, like, you know, nutrition is at so much at the heart of health. **[26:08] Speaker B:** You know, it's funny that I'm telling you that you're, you're the utmost expert at it, but it's really hard for people to take action on nutrient advice. Usually, even if you go to a nutritionist, which very few people have the resources to do, you end up with like a piece of paper, you put it in the drawer, you never look at it again. And what wants is like, can we make it actionable? So with a partner like Instacart, you can go from, okay, this is what you should be eating to like, in one tap order that, and it's at your door in an hour. And like, that's a magical closing of the loop where you really start with, to your point, what is health and how do we help you get there? And then all the way to actions that you can take in, like, as easy a way as possible to, to be able to stick to this new routine. **[26:58] Speaker A:** I think that's so important, you know, like, you're right, I mean, in getting people all the way down the pathway, not just understanding what's going on, it's just having an assessment of what their disturbances are in their health or simple things they can do. But how do you take it in action? And how do you kind of close the loop? And, you know, I know Instacart is working on medically tailored meals, for example, and, you know, food is medicine initiatives, which is amazing. Right? But it's. **[27:21] Speaker B:** It. **[27:22] Speaker A:** Most people wouldn't know how to do that. I mean, we can tell through functional health you have diabetes, but then it would say, you know, we want you to eat a diet that's low glycemic, higher in good quality fats, Lots of fiber, good quality protein. **[27:33] Speaker A:** And then. Then what? Like, then they will turn that into a menu plan for a week and then go to Instacart and go shopping for me and deliver it to my door and show me the recipes on how to make them by video. And like, all that's coming really soon. Or if it's not already possible, the. **[27:50] Speaker B:** Instacart app in ChatGPT already allows you to do that. It's really magical. Like, you can literally just say, I have a family of three. These are health condition. Develop a menu plan for us and then buy all the ingredients in one tap. **[28:03] Speaker B:** And to me, like, that was always my dream of removing friction as much as possible so that being healthy isn't also overwhelming. It just feels easy. And I think we finally have the tools to get there. **[28:16] Speaker A:** Yeah, it's pretty exciting. I'm like, thrilled about it. And I think that the food is medicine part is important. You know, you grew up in a little village in France. You said you need a passport to get to the next village because it was so remote and isolated. And it's this little fishing village in the south of France. And, and food is such a part of French culture and, you know, the freshness of it, the realness of it, the deliciousness of it, it's not just a convenience. It's also centered around connection and family and friends and social connections and, you know, all the things we've lost in America. And I, and I just see, you know, all this shifting as people start to understand the relationships between their health and food. And, you know, I mean, you know, when you go to the doctor, they don't tell you to. **[29:01] Speaker A:** To do anything about nutrition. You know, I've been trying to work on changing medical education by getting nutrition exams, questions that have a nutrition focus that's based on chronic disease. **[29:11] Speaker A:** And yeah, so doctors are really challenged. And this makes it easy. **[29:16] Speaker B:** Less than 20 hours of medical school spent on nutrition, which is crazy when you realize that, like, I think something like 80% of chronic illness as a diet component, it's like, it was crazy. So, yeah, I totally agree. And yes, growing up in France, you know, food was sacred. Like, it was at the center of everything. And, and here I think it's more considered like, sustenance. Right. And, and I think re establishing the relationship that people are with food is really important. **[29:46] Speaker A:** You know, at function week, we kind of help you sort through the massive amounts of data. I think the function app within that's integrated into ChatGPT will help people understand their Data in a broad level and help guide them on action plans. I've been playing with it, it's pretty amazing and integrating that with like all the tools to be able to kind of execute on the recommendations. Whether it's what supplement to buy or what food to eat or what things gonna help you, what drug could help you, it's gonna be pretty profound. It's a really important advance and it hadn't existed before and I'm really glad to see you started there cause it is like you said something people are using every day. I mean people are, I don't Google a billion searches on health every day and now ChatGPT in some ways is replacing Google. **[30:27] Speaker A:** I don't know if last time I used Google honestly, so I hate to admit that cause my friend is one of the founders of that, but it's a really exciting moment. I'm very curious to hear your vision of if you had a crystal ball where you see this movement between AI and health intersection going in one year, three years, five years. Because even in the couple of years that we've had ChatGPT and AI that's accessible as a consumer facing product, which I learned was not even meant to really succeed at all, it just took off, you know, as an accident. It was kind of like a side thing. Where do you see, you know, this going? Because it's just even in the few years that it's been happening, it's accelerated so fast. And I, and I wonder from the perspective of healthcare, from individual self care, from research, like what are the areas that you see us being able to really accelerate human evolution? **[31:21] Speaker B:** We've talked a lot about like what's going to happen on the consumer side and I think ultimately it's really about empowerment. We're going to empower people with health information. They're going to be able to make better decisions about their health and and just have a lot more data to optimize their health. So I think this is going to be reflected directly into health outcomes. We haven't talked as much about the provider side, but we're also really invested here. We just launched OpenAI for healthcare with a ton of great institutions like UCSF, Personal Children, Sensible Children, HCA where these institutions deploying ChatGPT wall to wall for their doctors to be able to assist them in clinical decision making, to be able to reduce administrative load. And so we're really thinking of it as like equipping both sides so that doctors can be more informed. Because to your point, they cannot read the thousands of studies that come out every week, they can be more informed, they can make better decisions because they can look at the full picture of the patient. **[32:24] Speaker B:** And then when they meet with the patient, the patient is also better informed about their health. And that creates a much better dialogue between doctor and patients. So that's really the end state. And then beyond that, I think the thing that gets me very excited is that I think we're finally getting at a level of intelligence of our models that can really find novel insights and novel science. So when I look at, you know, all of the diseases that have not yet been cured, I hate calling them incurable because I believe that it's just a matter of time. **[32:57] Speaker B:** I. I really think that the models are getting smart enough. That's the time frame, from kind of identifying a condition all the way to having a drug ready for it. All of these steps are going to be reduced by AI. We're going to identify drug targets way faster. We're going to develop these drugs way faster. **[33:15] Speaker B:** We're going to get them through regulatory approval, which, as you know, takes forever right now. Much faster. And by using AI at every level. And so that's why, you know, I think when a couple of years ago we were talking about curing all diseases in our lifetimes, that sounded a little bit like science fiction. I actually think that we're closer than ever. **[33:35] Speaker B:** As long as we can update all of our pretty outdated processes and regulatory framework to this new world. **[33:46] Speaker B:** That would allow us to massively accelerate the pace at which scientific discovery happens. **[33:52] Speaker A:** I think you're so right about that. I think it's going to accelerate the development of drugs and of discovery in so many ways. But I also think it's going to do something else. And I don't know if you've thought about this, but I'm hoping you have, because your company, Chronicle Bio, which is related to help people solve these incurable diseases like chronic fatigue and pot syndrome and many other conditions that are chronic and often intractable. I think what's going to happen is going to be acceleration of medical understanding, not just. Just about how to develop better drugs, but about root causes, about mechanisms, about novel therapeutics that involve food is medicine that involve other therapies that are kind of outside traditional medicine, that could accelerate healing, that are being applied across different things, like, you know, novel therapies. For example, like plasmapheresis is being used for autoimmunity. **[34:43] Speaker A:** That's being used for long Covid. **[34:45] Speaker A:** That's, you know, that is still sort of on the margins. It's part of traditional medicine, but hasn't been used for that. So there's a lot of things that I think are going to happen that are both accelerating the way we do medicine, already faster and better, which is important, but also to kind of emerge a new paradigm of medicine where we can actually understand the body as a network. Even if you get better at each specialty, the body still isn't organized like a bunch of parts. It's a system. **[35:13] Speaker A:** And that's what's so exciting to me about the use of this technology and AI to help understand these massive data sets, look at patterns, discover things that never were seen before, understand this. And I know this, doing this for 30 years, like I collect massive data sets on people compared to the average doctor. I mean, I look at everything you possibly think of looking at, and I sort that through my. My own little, you know, brain here, which can only hold so much. But I know I've seen patterns in the data that nobody has ever described before. **[35:42] Speaker A:** For example, I know when someone comes in, they have a heavy metal toxicity. First of all, most doctors don't look for it it, but when they do, I see they have methylation problems, they have low glutathione, they have low zinc, they have lots of oxidative stress, they have low amino acids. They have a whole series of patterns that I've never seen written up in a book or a paper before. And I'm like, oh, this is interesting. And I see this with autistic kids, too. There's all these genetic variables and all these different metabolic changes, and they're not being described widely because doctors aren't looking for them. And there's a joke I often tell when I'm giving lectures about this guy who drops his keys on the street. His friend comes by and he sees him looking under this lamppost and he's like, what are you doing? **[36:23] Speaker A:** I'm looking for my keys. He said, well, where did you lose them? He said, well, I lost him down the street. He said, why are you looking over here? He says, well, the light's better over here, so we tend to look where we can find things easily. But now we're going to say the problem is, and I think the root cause approach to medicine, the systems approach, people like Leroy Hood, who's doing the Phenome Health Project, they're thinking like this. They're thinking about this new paradigm. **[36:46] Speaker A:** And I think that's where. Where there's going to be a whole acceleration. Because, yes, we want to do all things to get better drugs and Better discovery and so forth. But I think the biggest flip is going to be real, really changing the actual medicine we're doing and helping people create health and dealing with these chronic conditions that are incurable. In fact, it's funny you said that because I'm launching a new feature on my podcast called the Incurables. **[37:09] Speaker A:** And it's for people like you, who've been through the healthcare system, who've tried everything, who've done everything, and who were told there's nothing to do except take this drug and maybe it'll help your symptoms, but you're gonna have to live with it forever. And the truth is you don't. If you understand how to solve the puzzle, you can actually help people get better. And that's the beauty of this. **[37:27] Speaker B:** I think the problem we have, right, is that because we don't have the data, we are not able to sub segment like the people with these conditions so that we can find the exact thing that works for them. **[37:38] Speaker B:** You mentioned my company Conical Bio, like that was the impetus behind it. We realized we're not going to find cures for long Covid overall because long Covid is 20 these probably 20 biological processes under that or Cure for thoughts. And so what we decided to do was actually create a company that partners with clinics to get biological data from patients and analyze everything on those samples, genetics, multi omics, proteome, metabolome, et cetera, so that we can actually subsegment those population. And I think that's really the promise of big data plus AI that's going to allow us to find those subsegments of population and be able to do better by them. I'll tell you a story like we at some point throughout my journey of trying to fix the problem, I opened up a clinic for these conditions and we were running clinical trials and we were running a particular drug for long Covid and we had people that went from completely bedridden to completely functional. **[38:40] Speaker B:** And but the clinical trial failed in absolute. And the reason is there wasn't enough like segmentation of the patients to realize, okay, on those it's going to be miraculous. And on all of those it's not going to work. And so they killed the program. And now we had patients in tears saying like this drug would save my life and it's not available. **[39:02] Speaker B:** And to me that's the greatest strategy. So if we can have the right data, so we identify the right population of patients, the right treatments for them, and then that can accelerate clinical trial approvals for these subconditions I think that's the holy grail and that's where AI is going to really shine 100%. **[39:18] Speaker A:** That's why I said earlier about, in my first book where I said, just because you know the name of your disease, it doesn't mean you know what's wrong with you. It's just a label. And that label could represent 10 or 15 different problems. And you know, autism isn't one thing. Alzheimer's isn't one thing. You know, POTS isn't one thing. Chronic fatigue isn't one thing. It could be caused by Lyme disease or by mold toxicity or by mercury or by some type of microbiome issue or by some other weird infection that you don't know of or long Covid and all these things. But you, you have to be able to just figure that out. And, and given our current way of seeing things and thinking about things, we have a thinking problem in medicine. And that's, that's really where we're going to be able to think differently with, with the use of these tools in a way that we never did before. **[40:04] Speaker A:** And it's not going to come, I don't think it's going to come from inside healthcare. I think it's going to come from outside healthcare. **[40:09] Speaker A:** And, and Basically companies like OpenAI are going to be driving change from the outside in and companies like Function are going to be driving change from the outside in. Where we're, I mean think about it like where, where could you get massive data sets on your human biology before without spending a fortune without having to go through your insurance? Company like Function has unlocked that. There's this. People are desperate because they're not getting the answers from the healthcare system. **[40:33] Speaker A:** I'm very excited about this for individual empowerment and we say our goal is to help you be the CEO of your own health. We also say we want people to help people live 100 healthy years. I would also add to that we want people to feel 100% because living 100 healthy years is great. But if you feel crappy now, like, you know, we want people to get there faster. **[40:53] Speaker B:** And also like I, I just think this is a moment in time where access is going to change dramatically. I mean, you, Function is a way to give access at a low price point to things that were reserved for the elite before ChatGPT does something similar of giving you access to great medical information. And one thing that was striking for me, that 7 out of 10 of the queries, health queries in ChatGPT are actually happening after hours and so that, that tells you, you know, like there is demand to have answers about your health at times was the healthcare system isn't even available to you at all. We are also seeing a lot of demand in rural areas where, you know, hospital like many miles out. And so there is like this, you know, direct access to, to health information that I think is going to really democratize just, you know, health knowledge in general. **[41:46] Speaker A:** I think you're right. And I think, you know, as we understand the science of creating health, you know, we're going to be able to help people even without health care, because most of health doesn't happen in the doctor's office. And so we're able to guide people in ways where we, we can make it much more accessible, affordable. And I'm thinking about function in a way that is going to help people all around the world by the things that it learns. And if you're in Siri alone somewhere and you have some condition, you're going to benefit from all the insights so that somebody who maybe can't get a lab test, we can infer what's going on from the patterns in the data that they're sharing. And it's kind of an exciting thing because all of a sudden it's going to democratize healthcare, decentralized healthcare, make it, you know, really affordable or often free for people, you know, and I think, I think there's a free version of ChatGPT, right? **[42:34] Speaker B:** Absolutely. **[42:35] Speaker A:** Is there? **[42:35] Speaker B:** Yeah. **[42:35] Speaker A:** Yeah. Okay, so that's what I'm imagining, like that people will be able to query their data and learn from the world's sort of best, best knowledge sources and insights from the best doctors. **[42:46] Speaker B:** And ChatGPT Health, which we've been talking about, is available in the free tier. So the goal is really to make it as accessible to everyone as possible. **[42:55] Speaker A:** Oh, that's amazing. What if the greatest threat to your health wasn't bad choices, but bad design? In America, chronic disease isn't accidental. It's the predictable outcome of a food system built for profit, not people. A web of corporations, lobbyists and policymakers all feeding off your plate. They call it choice, but your options were engineered. From the grocery aisle to the school cafeteria, Big Food, Big Ag and Big Pharma wrote the rules together. The food pyramid distorted the science, bought the front of package health labels designed to deceive. **[43:32] Speaker A:** This isn't a broken system. It's a perfectly functioning machine producing disease, dependency and distraction. Exactly as intended. Foodfix uncensored pulls back the curtain on the collusion shaping your Health, your choices and your future. Because once you see how it works, you can never, never unsee it. Food fix uncensored. The truth they never meant for you to read. **[44:00] Speaker A:** I want to ask you how I get off the waitlist. **[44:06] Speaker A:** I want to get on the waitlist. I want to try it more. But I tried the integration with function, which is very cool. And I was like, well, this is amazing. And it gives you a lot of deep insights. **[44:17] Speaker A:** I want to ask you a little bit more about Chronicle Bio because this is a passion project. It's not like, you know, you're not busy. You, you're at OpenAI. You, you know, CEO of Instacart. You're on the, you know, chairman of the board of Instacart. You were at Facebook for a decade. You, you know, had another nonprofit or something company. You have, you know, now you started another company. Like, I don't know what you do. How do you do if you sleep? I know you have a daughter and a family, but what I know why you started. Tell us more about how you're thinking about it. And you mentioned a little bit about the data sets you're collecting, but who's guiding you? How are you thinking about these conditions and what are you hoping to kind of discover? **[44:54] Speaker B:** I think for me, it was really seeing this moment in time where the models were becoming so much more powerful, but the data sets weren't fully there yet. Right. Like on these conditions, like long Covid me CFS parts, which are still considered somewhat mysterious. If you look at what has been done, a lot of studies are like, with 100 patients and maybe just looking at genetics, another 60 patients somewhere else looking at, you know, maybe gut microbiome. But no one was creating what I call almost the infrastructure of the disease, which is really like, like looking at tens of thousands of patients and really having the full data set on all of them. And that's, you know, that's because that requires some funding and that requires infrastructure partnering with all the clinics, making sure they collect data consistently. I mean, it's a real engine that we're building. **[45:47] Speaker B:** But once we have that, we're going to be able to get to cure so much faster. Because when I got sick, I went and I talked to a lot of my biotech and pharma CEO friends because I was telling them, like, it's not as if this condition that I have are rare. Like, we're talking hundreds of millions of patients all combined. And so I was like, it's a huge market. **[46:07] Speaker B:** Why are you not developing like cures for these conditions. And I mean, we don't even have any cures in the pipeline. Like, you know, they're not being like really prioritized. And the answer was simple. Like the CEOs were saying, like, we don't understand these diseases, we don't understand the different subtypes, we don't understand like biologically how they function. So it's still too risky for us, us to invest in these conditions until someone has really established what are the subgroups, how do these diseases work, what are the real drug targets? And so I think we're really at the moment where if, thanks to Chronicle Bio, we get all of this data combined with all of the great models coming out of OpenAI and labs like that, we're going to be able to all of a sudden find totally novel insights. And we're already seeing it. We had some publications around findings like tens of genes that correlate with your likelihood of developing these conditions, which in the past you couldn't really do. **[47:10] Speaker B:** You could do just kind of one gene directly responsible. But gene combinations were still very complicated to establish. Now we can figure that out. We are planning on overlaying that with like, why viruses are a big trigger for this condition. What happens to your immune system during these moments that lead to you not recovering? Also, why are these conditions affecting 80%, like 80% of patients are women and only 20% are men? **[47:38] Speaker B:** We should have an answer to that. That seems pretty extreme. Like we should know why women are more affected. And the reality is that we don't have answers to this question because again, the healthcare system has looked at the symptoms and putting band aid on the symptoms and instead of the root biology. And I think the only way is to do the hard work of collecting that data, that true biological data, and then using AI to find novel insights on top of it. **[48:05] Speaker A:** I think you're right and I think, you know, that's going to accelerate discovery not just around those things, but even things like autoimmune diseases and even chronic diseases in general, because they're all sort of the same. And you know, there aren't that many causes for disease, there's many diseases. And each disease may have multiple causes and need multiple treatments. And I think, you know, the promise of network medicine is understanding the multi causal nature of disease and the need for multimodal treatments. Meaning it's not just one thing. It's not like a single drug for a single disease. You know, like we learned with Louis Pasteur, the bacteria that cause the pneumonia that Treat with penicillin. We follow that paradigm for the last hundred plus years. And it's great for infectious disease sometimes, not always. So it's not just the bacteria or the virus, it's the host that matters too. **[48:55] Speaker A:** And actually it was Claude Bernard, another Frenchman, who had an argument with Pasteur saying it's the biological terrain that matters, not the bacteria, not the pathogen. And Pasteur on his deathbed goes, yeah, I think you're kind of right. I think the biological brain matters a lot. And I think when I said, what is health? It's really about understanding how to create a healthy soil. **[49:17] Speaker A:** Traditional medicines, like industrial agriculture, we pour chemicals on the plants and the soil to try to make it do stuff, which is like using pharma, which can be helpful. But it's rather than asking, how do we create a healthy soil where disease can't grow and how do you create health? And when you do that, disease often goes away as a side effect. When you remove the impediments to health and you add in the ingredients for health, the body often knows what to do to repair. And that's a lot of, I think, where the solutions are going to be coming from that you're looking for is, is not just one thing or one drug or one pathway, but really understand the complexity, which only can be done through big data and AI and understanding things through this new lens. And, you know, if I were to say to you, like, what are the laws of biology? **[50:02] Speaker A:** You know, you might say, well, maybe evolution, but there wouldn't be a set of laws that you could say, here's the laws of human biology and human disease. We don't have that. We have that for physics. You could say, I know the laws of physics, thermodynamics and, and gravity and this and that and the other thing. **[50:18] Speaker A:** I mean, I learned that in college. I forget a lot of it, but I know they exist. But biology, we haven't actually described them. It doesn't mean they're not there. What's the nature of nature? **[50:31] Speaker A:** That's really the question we're asking. And we're going to unlock that now with AI and in systems, network, functional medicine, whatever you want to call it, that's what we've done, is really try to understand what are the fundamental systems in the body that can explain everything. And, you know, we talked about the microbiome, the immune system, the mitochondria energy system, the detoxification system, your circulatory transport system, your communication system, which is hormones, neurotransmitters, peptides, cytokines, everything. And your structural system and how those are influenced by external factors, you know, genetics and toxins and allergens and microbes and your microbiome and stress and diet and then all the things you need to thrive. You know, the right food and nutrients. Like you said, you need special forms of nutrients for you, feed you that somebody else doesn't necessarily need. You know, what's the right amount of exercise and sleep and light and clean water and connection and love and meaning, purpose. **[51:22] Speaker A:** These are all the ingredients for health. So when we understand this paradigm, we have the equations, so to speak, the laws of nature on how to solve this. I mean, the French actually were pretty good. Like Pierre Laplace, another French guy, he also said the same thing. He said, you know, we can explain an enormous number of observable phenomena by a small number of general laws. And we have 155,000 diseases in our ICD10 classification of disease system that we have in medicine. It's crazy. Like we don't have 155,000 diseases. **[51:53] Speaker A:** We have a few simple laws that explain all of them. Right? And inflammation is a big thing. The microbiome is a big thing. You know, the role of toxins is a big thing. The role of microbes is a big thing. So we can start to understand things through a new set of lenses. Lenses and see different things. Like when you, when you, you know, like I was at this party this weekend in South Africa at a wedding and they had astronomers and they had this incredible telescope that looked at the Orion Nebula and it was like taking these pictures every like 4 seconds or something. And I was like, you get to see stuff where I could see Jupiter and the rings on Jupiter and the moon. So all of a sudden you, you know, you look with a certain set of lenses, you can only see certain things. **[52:31] Speaker A:** You look with another set of lenses, you can see something else. So what's happening now with technology and AI and what you're doing with chat GBD Health and Function is, is actually put on a different set of lenses and see what we need to see and chronicle bio. I, I'd love to offline talk to you more about this because I, I have a lot of thoughts about it and I think, you know, it could be, it'd be really interesting to have a conversation at some point. **[52:51] Speaker B:** And you know, I, I can so relate to what you're saying. For example, in my case, I have both endometriosis, which is considered a reproductive owls problem, and parts. It's also autoimmune neurological, but apparently you're seven times more likely to develop endometriosis when you have parts and vice versa. And so in the medical, current medical language, these are two totally different diseases. You look at the statistics, it's like, clearly there's a correlation that's probably inflammation, that's probably immune related. But we haven't gotten to this level of understanding. So that's the thing that, that I think is going to be really magical in the next few years. It's getting to those root causes. **[53:30] Speaker A:** That's what I spend my whole life doing. So as we sort of think about what's important to get right, and as we're thinking about the intersection of health and technology and how people live their lives going forward, what is, what keeps you up at night? What are the things we have to get right as we go forward in this new era of health and technology? **[53:48] Speaker B:** First off, you touched on it, but trust is really important. If users develop trust in the technology and know that the technology has their back and is helping them lead a better life, I think that's already a big part of the problem. And that's why we focus so much on, you know, privacy, encryption, all of the things that we put in place. Because if you don't have that at the start and users don't trust that technology is going to do what's the right thing for them, you can't do anything else. So I think it's like step number one, and then from there it's like, how do you add utility? And I think the advantage of a tool like ChatGPT that's so general is that it helps you with every part of your life so you naturally reach for it when you have a health question. **[54:33] Speaker B:** A lot of people don't think of it as a house tool. They just think of it as an assistant. And then they ask the health question and they realize, oh, wow, that's like, really helpful. I'm going to put a lot of my health information there so that I can get more out of it. **[54:47] Speaker B:** And so really like, demonstrating utility both for patients and for doctors is going to be really important. And then I also think, you know, there is a, like, general perception which we need to address. I think, I think AI is going to be incredibly helpful for doctors. And you see some doctors really embracing AI in a big way. You also see some resistance and some tension being like, oof, is that going to, like, get in the way of the doctor, patient relationship, et cetera. **[55:16] Speaker B:** And so if we can really show like, the Healthcare system, what they have to gain from being ahead on embracing technology and having that as a big differentiator to improve patient care and also to improve burnout for doctors. Because we shouldn't forget that there's a massive burnout epidemic of doctors. And if, like, we can give them the tools so they can give even better patient care with less burnout, less administrative burden, we're going to lift the entire system up. So my hope is actually that, that like, you know, people on all sides embrace technology as an ally and that the responsibility is on us technology builder to build it in a way that is responsible to really address our needs. **[55:58] Speaker A:** It's going to solve a lot of problems. **[56:00] Speaker A:** The physician burnout thing is real. I mean, I know I do a different kind of medicine and it takes me two or three hours to properly prepare the data from a medical history, from their previous results, from their lab data, and organize it so that I can be ready to look at it, to make a decision about it, and then I can think about it and I can use my license and my 40 years of medical training and experience to actually think as opposed to be just organizing like a paper pusher. And it's, it's kind of, it's made my life so much easier as a practicing physician, which, which, which is. It's just so easy. And I think it allows, it's gonna allow better paper, patient care, better connection, more streamlined efficiencies. But, but more importantly, I think it's gonna, it's gonna shift the paradigm to where we're really gonna, you know, unlock a lot of understanding of human biology and so much suffering for people like you and for people like me who had to deal with stuff that didn't have answers. **[56:57] Speaker A:** You know, I've, I've had so many things. I even had C diff like you, which was no fun, though. Yeah, no, it's no fun. So going forward a year from now, where, where do you hope. **[57:07] Speaker A:** Hope ChatGPT Health will be? **[57:10] Speaker B:** I think we will likely be even more of a connector between all of the different aspects of your health and be able to help you take action on your health, even in a more easy way. I'm very excited to have chatgpt House also become proactive. So, like right now, you go to ChatGPT, you have to be the one kind of typing a question and getting an answer. I think once we have all of this knowledge about you, we can proactively tell you every morning, like, hey, this is what you should do to optimize your health. **[57:41] Speaker B:** And that level of productivity, I think will really enlighten a lot of people who want to do more for their health but don't know where to start. So having that as a proactive agent that has your back, that knows everything about all of the aspects of your house and helps you take action in the real world will be very helpful. And then if the same happens on the kind of healthcare side, you can imagine these tools really coming together and like, like the future appointment between a patient and a doctor being both more efficient but also much more focused on the right issues because everyone will have been briefed ahead of time, have the right data, and the conversation can really focus on how to make that person better instead of a doctor staring at a screen typing away administrative stuff for the, you know, 14 out of 15 minutes that they are with a patient. **[58:31] Speaker B:** So we really hope that, that it can really help improve that relationship as well. **[58:36] Speaker A:** So it sounds like three big areas. You know, let's say health, consumer patient empowerment around their own health information data, helping streamline healthcare itself and how healthcare providers interact with people and accelerating research. And I think I, I think there's, there's one area I think that it's worth doubling down on, which is individual empowerment and how that requires your own personal health data set that. You know, I've had the rare privilege of working in environments where I could collect large data sets on everybody. I could do their whole genome sequence, I could do their microbiome, I could do their toxin levels, I could do all the hormones, nutrition, all the stuff I said and spend three hours with them and talk about it all and understand it all. That's still sort of rare for people. **[59:21] Speaker A:** But now with function, we're able to begin to help you collect your own data set. Because the output of ChatGPT health is only going to be as good as has the data it has on you as an individual like you, you Fiji put in all your stuff from everywhere into ChatGPT, right? But, but it was hard to get all that information. And the healthcare system, you know, isn't so great at helping you figure these things out. Like, why do you want to do this test? Like, you know, like why do you want to do that test? Or oh, the insurance isn't going to pay for this. Or, but imagine if the individual now can, can, can bypass that, collect their own data sets from everywhere, from their wearables, from omics, from their microbiome, from lab data, from imaging, from their medical records and all that goes into the system. **[1:00:09] Speaker A:** Then it becomes so Much more valuable. And that's why I love the integration with function health and, and ChatGPT Health because it's, it's, it's, it's unlocking something that was never before possible in human history. **[1:00:19] Speaker B:** Yeah, I totally agree. And, and I agree with that. Like, the better the sources of information, the better the advice we're going to be able to give. I totally agree with your point. On test, like, one of the recommendations from Chad GPT was actually looking at my health records and saying, hey, you're still missing these two or three tests that would paint a complete picture. **[1:00:40] Speaker B:** And I asked my doctor and she was like, oh, yeah, actually we, we should order that. And so I think having that complete picture is going to be super important. And any company that can help us, you know, aggregate that will be very helpful. **[1:00:54] Speaker A:** Well, I'm excited, excited for this and excited for our integration and working together and thinking about how to really end all the suffering that people are struggling with. That honestly, given our knowledge that we have in the world now around how to create health, most people don't have to suffer from that. And that's kind of my mission in life is end needless suffering for billions of people. **[1:01:12] Speaker B:** I share also hope. **[1:01:13] Speaker A:** Yeah, I think you do. Obviously with Chronicle Bio is clearly something you're not just talking about. You're doing in addition to the work you're doing at OpenAI. I just hope you take care of yourself and make sure you stay in good health because we need you. **[1:01:28] Speaker B:** Thanks, Mark. I will. Thank you so much for having me. This was great. **[1:01:32] Speaker A:** My pleasure. Maybe one day we can have octopus pie in your town. On a set day in France. **[1:01:38] Speaker B:** I can tell you, if everyone was eating everything from my hometown, health outcomes would be fantastic. **[1:01:45] Speaker A:** That's true. That's true. Well, thank you so much and thanks for your work. You do and, and we'll see you soon. **[1:01:50] Speaker B:** Thank you for having me. Bye. **[1:01:53] Speaker A:** If you love that last video, you're gonna love the next one. Check it out here.