"How well does the AI perform clinically? And my answer is, I'm stunned to say: Better than many doctors I've observed."—Isaac Kohane MD.

Peter Attia's (probably, the only book) Outlive is out this week, which I've waited for what feels like forever. Although he wrote extensively during the last five years, now I can't help but imagine how, in some ways, this book is already in need of supplementary chapters: all of a sudden, the talk of the town shifted to the upcoming spread of the AI-based longevity tools, and how the infinite amount of personalized AI health providers will accelerate the whole healthcare system. It's impossible at this stage not to wonder how technological advancements impact future generations' life expectancy and well-being. Everyone from Bill Gates to Martin Shkreli (long live Dr. Gupta) shares the vision behind all the possible - predominantly positive - changes. Books are coming soon on the topic too.

I rarely contemplated the concept of longevity before 22' as I've written extensively in my year-end posts. Attia and Huberman became those figures who pushed me toward a stern look at my health and the health of my loved ones. Learning how to treat the body organically led to exploring many healthcare system traits and obstacles. It is at this moment of a personal journey inside this broken system (also keep in mind the third-world country in my particular case), one wishes for less dispassionate humans and more sophisticated machines. Standardization sucks, and a personalized approach is yet to come in magnitude worldwide. I'm no medical scholar, yet I vividly imagine how groundbreaking the current state of things in AI is already changing the landscape.

There's early detection that excites me the most as the only affordable "cure" for a wide range of diseases. No single doctor on Earth could keep up with all the medical research and advancements within their own field of practice. With the vast amount of biological data, it's difficult for humans to comprehend the complexities of all the processes across medicine - and here AI will significantly speed up medical advancements. This process will enhance diagnostics, treatment plans, and enable us to understand better and prevent illnesses - thus improving long-term health and life expectancy.

There's personalization on levels we've never seen before. Sergey Young calls this IoB, Internet-of-Body: a world where your diagnostic devices will all connect into a distinct network that helps you and your medical provider monitor your health. This system will fuel powerful machine-learning algorithms designed not only to detect and diagnose disease but also to prescribe and even administer the right treatments in real-time. It opens lots of opportunities with personalized fitness and nutritional plans, analyzing sleep patterns, and providing mental health support (as we can already communicate with ChatGPT as with our personal IFS guide). By offering coordinated, data-driven approaches to managing health and fitness, AI technology can improve living, allowing us to create healthier lifestyles and enjoy a longer, more fulfilling life.

Finally, there're remote access solutions. Advanced technologies such as computer vision and deep learning can improve the accuracy of medical diagnoses eliminating the need to visit a physician in many cases. AIs can provide patients with triage services, advice on health matters, and help determine if they need medical attention - all from the comfort of your home. This increased access to healthcare services can boost early detection and intervention and facilitate long-term care for people who may otherwise struggle to access these services, resulting in better health outcomes and improved quality of life.

At the same time, yeah, AI can still screw us up well. The acceleration of AI raises many concerns about potential challenges and ethical considerations that must be addressed to ensure its positive impact on longevity and happiness.

We for sure mistreated in the past the issue of data privacy in social media - and now we're on the right track to make the same mistake with LLMs, especially in the medical sphere. You're probably tired of reading countless takes on AI alignment, bias, and discrimination. I won't go there, but addressing this is crucial to guaranteeing equitable access to healthcare services and resources for all individuals, regardless of race, gender, or socioeconomic status. It's an ongoing challenge for the developers and the broader AI community to ensure everyone experiences AI-driven healthcare benefits.

And, of course, there's a scare of massive job displacement that stands close to nearly every conversation around AI acceleration. Entering medical school today could mean your profession will change drastically by the time you graduate. AI is already disrupting some clinical practices, physician training, so more significant disruptions are expected. The obvious silver lining is that AI can streamline routine healthcare processes by helping human professionals file insurance claims, complete paperwork, and create visit notes - which helps focusing on individuals more. But investing in upskilling opportunities is essential, ensuring that health professionals can adapt to the changing market and continue to contribute meaningfully to society.

Ultimately, our collective ability to overcome these challenges and harness the power of AI will determine the extent to which we can unlock the full potential of these technologies to improve our lives. While challenges and ethical considerations must be addressed (and people far more competent than I am are already doing it daily), the prospects for a more fulfilling and longer life, shaped by the responsible implementation of AI technology, are optimistic. As we navigate this ever-evolving landscape, the future of human longevity and happiness still remains kinda exciting, to be honest.

Attia vows never to write another book, but imagine how profoundly different Outlive 2.0 might be. Or not, as per Galpin's Law, the methods are many, the concepts are few.

"How well does the AI perform clinically? And my answer is, I'm stunned to say: Better than many doctors I've observed."—Isaac Kohane MD.

Peter Attia's (probably, the only book) Outlive is out this week, which I've waited for what feels like forever. Although he wrote extensively during the last five years, now I can't help but imagine how, in some ways, this book is already in need of supplementary chapters: all of a sudden, the talk of the town shifted to the upcoming spread of the AI-based longevity tools, and how the infinite amount of personalized AI health providers will accelerate the whole healthcare system. It's impossible at this stage not to wonder how technological advancements impact future generations' life expectancy and well-being. Everyone from Bill Gates to Martin Shkreli (long live Dr. Gupta) shares the vision behind all the possible - predominantly positive - changes. Books are coming soon on the topic too.

I rarely contemplated the concept of longevity before 22' as I've written extensively in my year-end posts. Attia and Huberman became those figures who pushed me toward a stern look at my health and the health of my loved ones. Learning how to treat the body organically led to exploring many healthcare system traits and obstacles. It is at this moment of a personal journey inside this broken system (also keep in mind the third-world country in my particular case), one wishes for less dispassionate humans and more sophisticated machines. Standardization sucks, and a personalized approach is yet to come in magnitude worldwide. I'm no medical scholar, yet I vividly imagine how groundbreaking the current state of things in AI is already changing the landscape.

There's early detection that excites me the most as the only affordable "cure" for a wide range of diseases. No single doctor on Earth could keep up with all the medical research and advancements within their own field of practice. With the vast amount of biological data, it's difficult for humans to comprehend the complexities of all the processes across medicine - and here AI will significantly speed up medical advancements. This process will enhance diagnostics, treatment plans, and enable us to understand better and prevent illnesses - thus improving long-term health and life expectancy.

There's personalization on levels we've never seen before. Sergey Young calls this IoB, Internet-of-Body: a world where your diagnostic devices will all connect into a distinct network that helps you and your medical provider monitor your health. This system will fuel powerful machine-learning algorithms designed not only to detect and diagnose disease but also to prescribe and even administer the right treatments in real-time. It opens lots of opportunities with personalized fitness and nutritional plans, analyzing sleep patterns, and providing mental health support (as we can already communicate with ChatGPT as with our personal IFS guide). By offering coordinated, data-driven approaches to managing health and fitness, AI technology can improve living, allowing us to create healthier lifestyles and enjoy a longer, more fulfilling life.

Finally, there're remote access solutions. Advanced technologies such as computer vision and deep learning can improve the accuracy of medical diagnoses eliminating the need to visit a physician in many cases. AIs can provide patients with triage services, advice on health matters, and help determine if they need medical attention - all from the comfort of your home. This increased access to healthcare services can boost early detection and intervention and facilitate long-term care for people who may otherwise struggle to access these services, resulting in better health outcomes and improved quality of life.

At the same time, yeah, AI can still screw us up well. The acceleration of AI raises many concerns about potential challenges and ethical considerations that must be addressed to ensure its positive impact on longevity and happiness.

We for sure mistreated in the past the issue of data privacy in social media - and now we're on the right track to make the same mistake with LLMs, especially in the medical sphere. You're probably tired of reading countless takes on AI alignment, bias, and discrimination. I won't go there, but addressing this is crucial to guaranteeing equitable access to healthcare services and resources for all individuals, regardless of race, gender, or socioeconomic status. It's an ongoing challenge for the developers and the broader AI community to ensure everyone experiences AI-driven healthcare benefits.

And, of course, there's a scare of massive job displacement that stands close to nearly every conversation around AI acceleration. Entering medical school today could mean your profession will change drastically by the time you graduate. AI is already disrupting some clinical practices, physician training, so more significant disruptions are expected. The obvious silver lining is that AI can streamline routine healthcare processes by helping human professionals file insurance claims, complete paperwork, and create visit notes - which helps focusing on individuals more. But investing in upskilling opportunities is essential, ensuring that health professionals can adapt to the changing market and continue to contribute meaningfully to society.

Ultimately, our collective ability to overcome these challenges and harness the power of AI will determine the extent to which we can unlock the full potential of these technologies to improve our lives. While challenges and ethical considerations must be addressed (and people far more competent than I am are already doing it daily), the prospects for a more fulfilling and longer life, shaped by the responsible implementation of AI technology, are optimistic. As we navigate this ever-evolving landscape, the future of human longevity and happiness still remains kinda exciting, to be honest.

Attia vows never to write another book, but imagine how profoundly different Outlive 2.0 might be. Or not, as per Galpin's Law, the methods are many, the concepts are few.