Bankless - Would You Live Forever? The Science and Ethics of Longevity
Episode Date: August 12, 2023In this video, we delve into the frontier of longevity and the pursuit of living forever. The discussion of longevity sparks different reactions among people, with some rejecting the idea outright, de...eming it unnatural or immoral. At Zuzalu, two distinct groups emerged—the Health and Wellness tribe, focused on healthy lifestyles, and the longevity tribe, resembling crypto enthusiasts, passionately researching the silver bullet for eternal life. We explore the two conversations of slowing down aging and accelerating rejuvenation, with a particular focus on the latter. Interviews with Patrick Linden, author of "The Case Against Death," Sergio Ruiz, an epigenetic reprogramming expert, and Michael Greer, founder of the Humanity app, shed light on the socio-cultural reactions, DNA reprogramming, and AI-driven longevity scoring. While the pursuit of longevity faces regulatory challenges, its potential to eliminate diseases and revolutionize healthcare holds transformative power. The quest for extended health spans offers tremendous benefits for humanity's future. ------ 🚀Join Ryan & David at Permissionless II in September. https://bankless.cc/GoToPermissionless ------ 📣 STADER LABS | ETHX LIQUID STAKING https://bankless.cc/Stader ------ BANKLESS SPONSOR TOOLS: 🐙KRAKEN | MOST-TRUSTED CRYPTO EXCHANGE https://k.xyz/bankless-pod-q2 🦊METAMASK PORTFOLIO | MANAGE YOUR WEB3 EVERYTHING https://bankless.cc/MetaMask ⚖️ ARBITRUM | SCALING ETHEREUM https://bankless.cc/Arbitrum 🛞MANTLE | MODULAR LAYER 2 NETWORK https://bankless.cc/Mantle 👾POLYGON | VALUE LAYER OF THE INTERNET https://polygon.technology/roadmap 🗣️TOKU | CRYPTO EMPLOYMENT SOLUTION https://bankless.cc/Toku ------ TIMESTAMPS: 0:00 Intro 1:30 Wellness vs Longevity 7:00 PATRICK LINDEN 9:30 The Pursuit of Immortality 12:30 We Want Choice 16:30 How Long Would You Live? 23:20 Now is the Time 27:00 Health is Longevity 33:30 Increasing Healthspan 36:30 The Case Against Death 41:40 How to Not Die 46:00 SERGIO RUIZ 48:45 Healthspan and Lifespan 52:50 Longevity Research 57:45 Epigenetic Reprogramming 1:05:30 Feeling Young 1:09:30 Longevity Escape Velocity 1:14:30 Challenges and Obstacles 1:18:30 The Economic Case 1:28:00 MICHAEL GEER 1:31:50 A Billion Years of Health 1:38:45 Utilizing Technology 1:43:45 Using AI for Health 1:46:15 Good Metrics to Track 1:52:00 Defining Health 1:55:00 The Humanity App 2:01:30 More Users, More Wearables 2:08:45 Get Healthier ------ RESOURCES: Patrick Linden https://twitter.com/DrPatrickLinden?s=20 Sergio Ruiz https://twitter.com/Sergio_A_Ruiz?s=20 Michael Geer https://twitter.com/Geeria?s=20 The Case Against Death https://mitpress.mit.edu/9780262543163/the-case-against-death/ VitaDAO https://www.vitadao.com/ Animal Free Precision Medicine https://www.afpm.bio/ Humanity App https://www.humanity.health/ ------ Not financial or tax advice. See our investment disclosures here: https://www.bankless.com/disclosures
Transcript
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Welcome to Bankless, where we explore the frontier of internet money and internet finance.
And today, on this episode of our Zuzalu series, we are exploring some new frontiers.
New frontiers and new technologies, all of which are poised to completely revolutionize the world
and change everything about the operating system that society is currently running.
Today, we are exploring the frontier of life.
Does it have to end?
Is there a technical reason as to why we can't live forever?
And if we do figure out how to live forever, should we?
What does living forever even mean?
How does that look?
What kind of ethical considerations are there?
The longevity discussion was front and center at Zuzalu.
There's a DAO called Vita Dow, which is a community-owned collective dedicated to funding and advancing longevity science
that organized an entire week's long worth of talks and panels and workshops,
which included speakers like Aubrey de Grey, who is like the Vitalik of longevity research.
The conversation of longevity definitely evokes some natural reflexes in people.
but in different directions.
Some people get triggered by the thought of the pursuit of longevity,
where the idea of living forever just seems unnatural and offensive to some,
and they immediately reject the idea outright.
Some argue that it's immoral.
Others argue that it's impossible.
Everyone seems to have an opinion on longevity, like immediately.
One thing I noticed at Zuzalu is that there are different tribes
that emerge out of the health and longevity space.
There is the health and wellness group,
which would be characterized as the morning exercises, the cold plungers, those who refrained from
drugs or alcohol, who did the occasional fast, and overall attempted to live as healthy
of a life as possible in the two months that we had at Zaloo.
And then there's the longevity tribe who are closer to like crypto nerds who really like geek out
on research and science.
And they're all in the pursuit of the longevity pill, the silver bullet intervention that
humans need so that we can live forever.
the sciencey research innovation side of things.
And interestingly, these two groups were like really far apart.
The overlap between the health and wellness group and the longevity group was not that great.
And as a member of the health and wellness tribe, we often joked that the longevity tribe
are just taking the gambit of ignoring health and wellness in the pursuit of trying to find
the silver bullet while living a fun and more unrestricted life along the way.
Anyways.
One important note about the pursuit of love.
longevity is that there are two conversations here. One is slowing down aging and the second is
accelerating rejuvenation. The deceleration of aging can bias time and there's a lot of effort
and research going into this and it's pretty simple. Exercise, good food, sunlight,
friends and family, not looking at screens, etc. But the magic really happens with the
acceleration of rejuvenation. This is longevity. This is the secret sauce that's going to get us from
living to 150 years to 1,500 years or longer.
And if the idea of living beyond 200 years just makes you feel icky, I get it,
it's a weird thing to wrap your head around.
The first interview in this episode in this longevity series is with Patrick Linden,
who wrote a book called The Case Against Death,
which flippantly describes why death is bad and life is good.
He addresses some of the sociocultural reactions to the pursuit of longevity,
and I think this is just an appropriate place to start for
people who are not yet bought into the idea that longevity is inherently a noble pursuit.
After our interview with Patrick, we'll talk with Sergio Ruiz, who is working in the field of
epigenetic reprogramming, aka reprogramming the way our DNA is expressed, and specifically
reprogramming it to go backwards to a more youthful state, which is apparently a thing you can
do over and over and over and over again, and is currently the most promising area of research in the
whole pursuit of longevity thing. And then lastly, we'll follow up with Michael Greer, who is the
founder of an app called Humanity, which uses a combination of big data and AI models to produce
a longevity score. And it's an app that I was using throughout my time at Zuzalu in order to
extend my health span as long as possible, a goal that I've always been trying to pursue, but
sometimes crypto gets in the way. Like I said in the intro, longevity had a front and center
focus at Zuzalu, although not everyone was bought into it. The growth of the longevity industry
is constrained by nation state regulations. It's hard to do research when things like the
FTA just get in the way of all viable experiments, which is why the longevity people and the
network state people mingled so well together. The network state people want to provide the longevity
people a place to do legal longevity research. I understand that the idea of human experiments
in the pursuit of living forever is kind of a bad look. But first, it's not as bad as it sounds.
It's not this weird, mad scientist experiments playing around with human DNA. It's just that the
FDA has such an immensely high bar that most human studies just can't get over.
Additionally, the downstream effects of discovering new treatments and interventions are immense.
Part of the pursuit of longevity naturally comes with the elimination of many, many diseases
that both kill millions and cost trillions.
The successful pursuit of longevity can free up an entire healthcare industry of ineffective practices
and expensive interventions and unlock trillions upon trillions of yearly GDP,
all while massively reducing suffering along the way.
So even if the thought of living forever does make you feel icky, the second order effects of finding
ways to be healthier for longer will unlock so many new doors for so many new humans.
So that is my preamble for this longevity conversation.
I think y'all are going to learn quite a lot.
So let's go ahead and get into our first conversation with Patrick Linden and the case against death.
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Bankless Nation, we are once again at Zuzalo, and I'm here with Patrick Linden.
and Patrick Linden has a hot take for the world.
Patrick, what's your hot take?
It's very simple that life is good and death is bad.
How dare you?
Well, we should do all we can to avoid death, basically, is my idea.
Why have you gotten, and the story here is that explaining this, that death is bad,
there's more to this story, but society pushes back on this frequently.
So maybe we can unpack this a little bit more.
Why is this a hot take and why do you get resistance for this?
Well, there are two groups of people.
So one group will say, what's your next book called?
Kittens are cute.
Pizza is delicious.
That is they take it as an obvious fact that death is bad, but not only death, but also the slow death.
Aging, of course, is bad, right?
And then there's the other group of people who say, you can't think like that.
Death and aging is part of what it means to be human.
And it's not something we should.
resist per se, at least not do all we can, but rather learn to accept in a kind of gracious way.
And, you know, they have various ways of saying that.
They say that you shouldn't try to add years to your life, but you should try to add life to
your years and so on.
So they will say, sure, it's okay to be interested in the quality of life that we have,
but to extend it is not something we should be doing.
And it seems like it's a majority view, in fact.
I don't know.
Have you talked to people about this yourself?
And what attitudes do you get?
Yeah, I think just a lot of people aren't ready to put themselves into the mindset
that the human project is one of seeking life.
And that's a novel, like, area for people to consider.
And so when we say, like, life is good.
like you said, like many people are like, yeah.
But then when we start unpacking what that means, like, oh, no, life always, life forever.
So when you say like life is good, death is bad, is this synonymous with the pursuit of
immortality?
Is this kind of on the same track here?
Absolutely.
Absolutely.
So I don't personally think immortality is the right word because immortality logically means that you're unable to die.
and that would be very dangerous proposition
because what could happen if you actually couldn't die
you could have an accident and be buried in a house
and then millions of years later
you find yourself buried hundreds of feet down in the soil
unable to move perhaps in pain
but also unable to die
so we're not talking about like supernatural powers
we're not talking about super men
We're talking about simply the lack of aging and the lack of biological processes that cause us to die.
Well, so what I object to then is the fact that we are forced to die before we want to die.
So it's a little bit about, essentially about expanding human freedom, as I see it.
So I find it a prison, really, for us that we have this set limit, that we just can't break through.
so far, right? We're trying to.
And so what I want is
indefinite life extension. So there's
no definite time
that nature ordains you
now you die.
But if you run out of interest
in life
or prospect in life, etc.,
and you think, or for some reason
you're very unfortunate circumstances
and so on, life can be an exit.
But of course, I also hope
that I will never be in such sad circumstances.
So in effect, I want this indefinite, completely open road.
I want, and every good person I want to have this possibility of a completely open road.
You have no idea when it's going to end, but it's going to keep going as long as you want with some luck.
I mean, there are accidents out there, et cetera.
I think it's very good when you talk about supernatural, because I think immortality in some sense belongs
to the supernatural
and not the natural world.
I mean, even when we talk about immortal
jellyfish, for example, or
other immortal
creatures,
so-called immortal creatures, they're not immortal
at all, right? They just, you can
say they're contingently immortal, that is
they're immortal as long as nobody steps on them.
Right. Well, you know, a motorboat
drives through it or something like that.
It will keep going because aging
is not going to kill it, right? But
of course, this issue is so
tied up with aging because aging is that which kills the most people and is that which means that
no matter what you do and how lucky you are the grim reaper is going to get you right yeah so i think
there's two boundaries on this argument that um living forever is good that that life is good um one boundary
is like we said like well we always want the option to be able to die that is an option that we would
like to retain. And so we don't want the curse of watching the massinations of the universe
passed by us for thousands and thousands of years while we watch our families and loved ones
come and go. And we are just this being that exists in this space time continuum at some unknown
where time just becomes weird. Like we don't want that. That's not what we want. Similarly,
with a one that we haven't talked about yet. And I can't remember the name of this like,
I think Greek fable or something. But this one man goes.
goes up to a God and asks for the ability to live forever.
And he's granted that wish.
But what he forgets to ask for as well is for health.
And so he does live forever, but he continues to age.
And he slowly gets more feeble and just, I don't know the full story, but turns to dust.
So there's two guardrails that we want to split between.
And that when we say life is good, we mean to stick between these two things.
We want to be able to live forever while being hit by a car will still kill you.
But also we don't want to be decrepit forever.
We want our health and our rejuvenation to be very, very strong.
And this is like the needle that we want to thread as a species, correct?
Yeah, exactly.
So in reality, the longevity will come as an effect of the health.
and everyone who works in this area
see health as being the means
to longevity. It's not mere survival
that anyone is interested in.
Well, I am interested in mere survival,
but having the quality
of your life being what also causes the quantity
is the ideal we're looking for here.
Absolutely.
And that's something that when you argue with these ideas
and when you look at surveys that has been done,
people in general become more sympathetic
to this longevity project once it's explained to them
that they will have a good health with it.
Then the interest shoots up.
But people have a very hard time wrapping their mind around it.
It's as if they have a vision of what it is like to be 80 or 90.
And especially when they're young and far away from it, that is incredibly pessimistic.
So when you ask just the ordinary general public, or if I did this in my class.
So I taught a class at NYU for many years called Deaf, Longevity and Values.
And each semester, I started with a survey.
of people's or the students' attitudes to death and longevity.
And I asked a question that was, it was clearly, clearly specified that they would be in good health.
I asked the question how long they wanted to ideally live.
And I got an average of 90.
And this is, even when I explained to them, you're going to be in decent health and so on.
and still you got like a spectrum between you know 70 and and the hundred after 100 it's as if they
could not fathom the idea that you could be 100 plus and still in good health of course now we see
it's one of the biggest growing demographics in this world the fastest growing demographic it's a
tiny demographic but it's fast it's growing very rapidly now the 100 plus right and the
90 plus and 80 plus, right?
What would your answer be?
Well, my answer is I can't give a number.
It would be ridiculous to give a number.
I don't know what my life is going to be when I'm 200 or 1,000 or 5,000.
If I say 200 would be enough, what happens on my 200th birthday?
I'm sure I have tennis schedule for next week.
I'm sure I have some book I haven't finished or project I haven't done
or I may just want to say well it would be terrible for me not to be able to just watch
the sky I think people are I think the mindset that we would have would obviously adapt itself
And I'm talking here about longevity through science, through health, right?
Which means that it's not something where you would be the only one in the situation,
but you would have many people choosing to live 200 or 1,000 or 5,000 years, right?
And none of them, I think, have a good reason to say.
I mean, completely arbitrary to sit and guess in 2003 to guess that I'd rather be dead.
the day after my 200th birthday.
I mean, it's ridiculous.
So it just show you the immaturity of this subject matter in the public discussion
that even the most basic fallacies when it comes to thinking of that are under-explored.
And so that's why I wrote my book, in my book The Case Against Death,
in order to expose all the fallacious,
reasoning around this topic that is just so underdeveloped.
Right.
Yeah.
So I think people, when they wake up every single morning, they don't really ask themselves
this, but like if for the thought experiment, you can wake up in the morning and be like,
do you want to die today?
And the answer is probably going to be no.
And then you can ask yourself again, that same question the next day.
And the answer is going to be no.
And what you're saying is like, well, you can repeat that process up until you're 90.
And then you're going to wake up at 90 with this.
all of this health span technology and all of this longevity technology and all this improved
health environment that we can create from ourselves that technology is going to create for ourselves
and at 90 you're going to wake up and be like no I'm I'm ready to go to 91 plus one day
and that's and so it's not really about I think when you asked the the question of like to what age
do you want to live to people are assuming this like decay function in their life
that is a fallacy that you're saying like don't assume the decay function.
We're trying to eliminate the decay function.
And so estimate your lifespan once we eliminate this decay function.
Exactly.
But even when you explicitly postulate that we're not going to have, as you put it,
the decay function, people still say 90.
90, right, yeah.
Well, because they're stuck in that mindset, right?
It's like Stockholm syndrome.
They're like stuck in this world where like, yeah, we live to 100.
And then it's interesting when you say Stockholm
syndrome. So if not all listeners
aware what that is, it's basically
when it comes from a kidnapping case in Stockholm, Sweden
actually. And it was, the kidnapped victim
started identifying with her captors.
And so the idea here is that we are captive
to aging and death. So since we can't do, we can't escape,
it looks like, we might as well identify with the captors
and say, okay, it's good.
You know, I actually want this.
I want to fall apart.
I want to see my parents fall apart.
I want to lose my grandparents.
I will go gracefully into that good night.
Oh, yeah.
It's going to be, you know, this is just how it is.
This is what I want.
I wouldn't want the opposite.
You know, and then people start intellectualizing it.
So, hmm, what can I say on behalf of my captors, saging in death?
How can I paint them in a positive light?
Right.
Okay, I can't escape, but I can kind of identify and glorify.
and make the captives will, my will, and thereby kind of overcome them.
This is like bargaining, right?
We're bargaining with death.
Yeah.
Yeah.
So philosophy in Montaigne's world, the French philosopher, Montaigne, is he says,
all geared and all history geared towards having us accept death.
Right.
And he himself tried to.
I mean, he was himself in that school of thought that this is something.
we shouldn't be afraid of, we shouldn't resist,
etc.
Which is very understandable, of course,
when you live in a pre-scientific era,
or very early scientific era.
Right.
But now such passivity is itself a problem and dangerous.
Because if people understood a very simple truth
that it's better to be youthful and alive
than to be old or dead,
we would see investment that,
well, maybe we could have been 20,
years ahead today from where we are now.
But there's a, I mean, it's a scandal.
When you think about the things we can afford in this world
and that we cannot afford apparently,
or there's no interest in stopping aging,
which is hurting everyone around us,
is an absolute outrage.
And we should be outrage.
But, you know, the most important thing is to wake up now
and try to undo the incredible harm
of inaction, a non-committal that is being sustained by a refusal to think about death
in a kind of straightforward way where we say, okay, enough with the nonsense, there isn't
much good about aging and dying if it's the end. It's a personal catastrophe for everyone,
basically everyone. Yeah, I think what you're saying is like it's just this like blind spot
that we've accepted that maybe like the medical field,
the medical areas of academic study and actual practitioners,
just like just don't look there because nowhere in humanity have we had the tools
or the conversations to actually point our attention to aging.
So Patrick, why now?
Why is now the time to try and illuminate this blind spot that humans have?
well so now is well the thing is yes it is now because now is what we have but it could have been
it could have been something we've done all you know the whole last century it could have been
the focus and of course there were people who thought it should be the focus of science
very early like francis bacon roger bacon and decart and bentham and
and other philosophers who thought that science should be concerned with this.
So, well, it's not today.
I mean, it is, we should have been doing this for a long, long, long time.
But all we have now is the now and now is high time to start.
Of course, right?
There is more promise now that this ambition is not just a pipe dream.
But we hear, of course, weekly about,
small,
promising,
possible
breakthrough.
We're still
waiting for the
kind of
cure that
passes the
gold standard
and where we
have good
longitudinal
and clinical
studies and
so on.
But there are
many people,
not enough
people at all.
I mean,
some estimates
say they're only
5,000 or so
working on
fundamental
aging and so on.
So much, much too few smart people are working on it.
But there are a lot of different paradigms that are being pursued.
And that itself is very promising.
There isn't just one approach, but there's a plurality of various approaches and interventions.
From the kind of everyday simple interventions, they were getting better and better and better at.
I don't know.
If you follow the debate about what we should and shouldn't eat, you know, it's still,
a terribly messy situation.
Only meat, no meat, only vegetables, not vegetables, or this and that.
But I mean, of course, sometimes that overshadows.
There is a lot of consensus as well that you should avoid eating too much sugar.
You should get your exercise.
You shouldn't smoke.
You shouldn't drink, maybe not at all, or a little bit you can drink.
right and and and you shouldn't engage in meaningful projects um and so on right you should call your mom
things like things like that those things are all positive when it comes to longevity and these are
things that you can do today and in fact when you think about it and when you think about what value
and beauty it is in just existing even if you have problem even if you have bad days um
It might make you want to think, well, let me be serious about my health and let's do this
while we're waiting for the miracle drugs.
So in some sense, we can take action today because the longer we can keep us with this kind
of low-tech interventions, we can keep us alive till the big breakthroughs will come.
Right.
I think it is worth noting that a lot of the world of the health industry,
the health academia, health research, health practitioners, the hospital system.
Like if you ask a cancer researcher what they're doing, they're saying, oh, I'm trying to cure cancer.
If you ask some like infectious disease researcher, they say, oh, I'm trying to cure infectious
disease.
Some metabolic disease practitioner, what are they doing?
They're trying to cure metabolic disease.
And so as a whole, we're all approaching these more surgical parts of, you know,
of health interventions.
But if you really zoom out
and look at the healthcare system as a whole,
each one of those systems is trying to create
health and prevent death.
And so the idea of the health industry
is a longevity industry.
It is a longevity pursuit.
It's just people inside of this system
are, it's like the elephant,
the people feeling the elephant metaphors.
Like the cancer people are just feeling one leg.
And they say, oh, like how do I,
How do I help health?
I prevent cancer.
But if you look at the elephant as a whole, what health and the medical industry is trying to do is preventing death.
But no one really seems to be able to zoom out and understand like what this thing is from the big picture.
But that makes me hopeful that society is on a cusp of like a phase change where once this narrative, once this story breaks out and once people realize it and once this gets spread through the culture, through the internet, through memes, through propagation, through podcasts like this, I'm actually hopeful that.
there can be a pretty rapid phase change of people understanding like, oh, pursuit of health is pursuit of
contingent more immortality. Do you see, are you, are you that helpful as well? Because I am that
hopeful. Are you hopeful? Yeah, I'm very hopeful. And I think that the practice, the science,
the advent of medicine that actually works on aging and intervention that works on aging,
together with the ideological change, they will feed each other.
So the more hope that's rationally based that people can prolong their youth,
the more positive they're going to be.
And this is what surveys show as well.
In fact, just knowing about the various projects of extending life
makes people more positive to it.
Simple exposure to it.
And the way you described, the healthcare system,
too much of it is sick care, really.
Too much of it is not preventative medicine,
and that's an incurably waste of money.
Because you're extending the worst parts of your life.
Yeah, exactly.
It's a terrible waste of money,
and it's a terrible wasted opportunity to relieve suffering.
So there needs to be a kind of mindset change here.
In terms of dollars spent versus suffering reduced,
is the worst like allocation of resources that we have because it actually it actually probably
net increases human suffering yeah it's it's it's it's terrible i mean of course it's it's great
when you have a something that that can manage a disease or patch it up or even cure it it's fantastic
but it's much much better to have us not get sick in the first place and it should
be obvious. And in fact, I like what you said before when you described this kind of old mindset,
that in fact, they see a contradiction where there is no contradiction. If you talk to people
about this, even in the health profession, even in the science, many will have a kind of
reaction when you put it in terms of longevity, when in fact, if they succeed, it's exactly
longevity. I mean, they're going to get that as a side effect. And we want to. And we want to
to get it as a side effect from addressing the root causes of aging. Of course, when we look at potential
upsides or potential breakthroughs, they must come from addressing aging, the mechanisms,
the various many mechanisms of aging. We don't have to understand them to be able to successfully
do something about them, fortunately, because it's very complicated. But that's way, because we get
cancer, we get diabetes, we get Alzheimer's because we age. So what was the average age of people
dying from COVID? It was 80, around 80, right? How many people died from COVID under 65? 11%, right?
So I want to say, look, what's going on here is people are also dying from aging. Right. They're not
just dying from COVID, right? Most of them, they're also dying from aging that undermines their
immune system, et cetera, and feebles them in various ways.
And so you can just see what a more youthful population, how much more resistant they would be
to a virus like this, et cetera.
I mean, the potential of saving money here that can then be used, even to address particular
illnesses, et cetera, is enormous.
So I don't know if you saw David Sinclair's article last year.
So he wrote an article with two economists published in nature
where he calculated how much in the world money would be saved
by retarding aging that is prolonging youth one year.
And it was 38 trillion.
One year of more healthy people saves us $38 trillion.
Yeah.
It's worth.
$32 one year
one year
so yeah
this is
this is where
progress can be made
and even if
you can't
make people see
that it's good for them
to live longer
which is absurd
that you can't make people see that
but even if you can't
you can say look
this is how much suffering we're avoiding
because no one likes cancer
right
aging causes cancer you could say or it is you know makes it much more likely that you get cancer at least
so fixing aging is fixing cancer etc etc etc so i think step by step it will dawn on people
this project makes sense yeah financially and economically it makes sense and because
keeping somebody alive at like 90 95 100 years old is the most costly and
precarious time in their life to keep them alive because when they're dying of cancer at 90,
like astherosclerosis or dementia or Alzheimer's is not far behind them.
And so that's why you say they're dying of aging.
Even though it's cancer, it's really aging because there's three other things they're
going to die from in the next five years.
And so keeping someone alive at that age is the most expensive and also the time in their
life in which they are suffering the most. And so I think the financial and economic argument is to
take all of that capital that we expend trying to prevent people from dying when they are 90,
push that forward and apply that capital when they are 30, 40, and 50 to increase their health
span and their longevity interventions then. And so the ROI on that dollars is just a 10 to one
order of magnitude increase because it's easier to manage at that point in time. And then people
actually can effectively live longer while they are not suffering, while they are not in the worst
part of their life in a hospital bed dying of 13 different things. I'm assuming this is like
the good summary of the financial and economic argument. Absolutely. And there are more
dimensions to it because it's also the fact that when people are youthful, they can work. So you also get
taxes from healthy people because it's you know we we see in in France now they're trying to increase
the the pension age and so on that's today necessary most likely but it's something that can be a good
thing people keep healthy if they work they can go down they don't have to work full time etc
it's actually good for people to work a bit longer and the time we're
have after we retire is just so much longer today that it's not a cheat really it's a necessity but it's it's so
i'm not defending exactly how mccron went about this at all right that it should be subtle you should
have people who work hard with our bodies physical work etc that's a different story right so you have to
have to do this in an intelligent way but all in all what you get is uh people who are healthy are able to
work longer, which itself is an incredibly good, good for the economy.
Certainly.
Patrick, you've written a book.
Yeah.
Yeah.
What is that book called?
It's called the case against death.
So that pretty much explains it.
And of course, the absurd thing is that I have to write a book like that.
It was, you know, provoked by.
Well, I was basically triggered by people's acceptance of death and how much I have to hear this.
You know, I had people, you know, without me bringing this up saying, you know, I think it's wonderful to age.
You know, I heard that my brother's 40th birthday.
Sounds like cope.
Yeah, it sounds like cope.
Or massive cope.
But, yeah, and you hear it.
And it's just so incredibly thoughtless.
I mean, you know, to make it personal, my father is in hospital today, you know, with pneumonia.
And it's very, very dangerous thing when you're 80, in your 80s, right?
And so I don't think there's anything wonderful with that at all.
I think it's an evil.
And I think it's almost, it is a form of kind of banal evil.
to have this attitude
because what you're doing is when you say that
you think aging is wonderful
is that all of this suffering
is wonderful, that something that is
destroying people, destroying
people's bodies and minds,
you know, see Alzheimer's,
which is, it's like a horror movie
that somebody is there, but not there,
and you lose yourself, you lose mind,
people around you suffer
incredibly, to say
that that's good and they say,
No, no, we don't say that's good.
It's aging.
We don't say the diseases are good.
We're saying that aging is good.
But in practice, I don't think you can make that sharp distinction.
Because if you don't get any of that deterioration, you're not aging.
Right, right, right, right.
But it's just, of course, these are nice people, and it's not that they are evil.
It's just that there is a, you know, that concept of the banality of evil, in some sense, it just happens.
Right.
And everybody has that justification and so on.
Of course, here it might be to protect themselves from the horror of death
as some philosophers or psychologists have argued that people just don't want to really think about this.
And so therefore, their forepress is so kind of unusually limited and in the box about it.
Yeah, there's like four or five big reasons why people will die.
Like one of them is cancer.
one of them is metabolic disease, estherosclerosis, Alzheimer's.
Like these account for like the vast majority of people's deaths.
And I, and these all have like overlapping comorbidities, right?
These all, if you have one, the chances of you having another one is pretty significant.
So all of these different circles are like also Venn diagrams that overlap with each other.
And I would assume that if you, the part of the Venn diagrams that overlap with all of them,
you would just call that aging.
like that's what that's what aging is and so like with that perspective i think it's a little bit easier
to wrap your heads around like oh aging isn't this thing that just happens to you and you can do it
gracefully or ungracefully like no it's a disease that we all have we all have this disease called
aging and it's all being we're all experiencing it every single day yeah absolutely and so if you
for example you accept something like david sinclair's view that it has to do with you know we have
information and if you are like CD, the CD gets scratched and so on. I mean, there's nothing
good about having a scratched CD. Right. I mean, what's good about that? Nothing. You know, what
people mean is it's great to have that experience that you have when you're 60 or 70 or 80.
And it's great to have those kind of long roots that you have with people and projects and so on.
That's great. Because it's, it's paradoxically not.
It's not like people get less happy when they hold.
If they're somewhat lucky with their health,
they can have the happiest years despite everything.
But I think that's what you have to say, despite everything.
Because how happy would they be if they had all those good things,
they experienced, the network, the roots, etc., the knowledge,
but also good youthful health.
We haven't seen that,
but I mean,
what we have seen is that older people
who also have their health
are doing comparably better than those who don't.
So those who have aged less,
because aging is something that happens to a small degree
on an individual level,
that we age at different speed somewhat.
And it of course has to do with lifestyle choices
and luck.
Patrick, for all the listeners out there that are peaked and curious as to what to do next,
what to read next, what to where to go next, what advice you have for them?
Well, my book is very good.
Surprised that you're going to answer this.
The case against death is very, I mean, it's very good because I go through all of the arguments
that people use to justify death.
And I trace these arguments back to their roots, philosophical roots.
So I talk about ancient philosophy and psychology and things like that, right?
And myths.
Because it's like we've constructed this, I call it the wise view,
that it's a view that accepting aging and death is a sign that you're somebody who's wise.
And there's a long tradition of, of course, people.
who are were wise like Socrates and Plato and the Stoics and Epicureans and a lot of these schools
who all teach the same.
This is something that is best accepted and not fear and so on.
So, okay, so that's one place.
There are other places, of course.
They can read Sinclair's great book about why we age and why we don't have to age if they want to get
into the more science bit.
And if they want to get in to do something practical about it,
well, they can contact me or there's an organization called Vita Dow.
And Vita Dow will then be able to connect you
and make it so that you can actually do something in this issue,
no matter what your kind of background is.
You can be from science, but it can also be from finance
or if you're humanists.
Patrick, thank you so much for helping us tell this story
and showing us the top of what seems to be a very cool
and interesting rabbit hole.
So thank you for helping us explore that today.
Thank you very much.
Thank you.
Cheers.
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All right, Bankless Nation, we are here at the Zoo Zaloo Network State, and I'm here with
Sergio Ruiz, who's going to help guide us down the path of longevity, which before we hit
record, I realize has an interesting intersection with some of the events that happened in the
2021 bull market, but we'll get to that. Sergio, welcome to the.
the show. Thank you so much for having me. So one of the very, very important topics at Zuzalo is
longevity. And this is a topic that I know Vitalik is intimately interested in. And I've had my own
small history with it. But for a lot of our listeners, that longevity is a new subject for them,
maybe we can just start with the basics. And I think that really starts with the conversation
of aging. I think we all, we all know what aging is, like we get older and like it looks like we get
older and like our bones don't work as well. But maybe you can help define it from a more technical
perspective. What is aging? Sure. So aging itself is the tendency for our bodies at all levels,
from a cellular level to a tissue level, an organ level, systemic level, or a systems level,
to head towards atrophy and degradation. So eventually the forgetting of performance,
for the forgetting of creation of a new material,
the creation of new material that is now mutated.
Or, you know, I like to think of it and explain it as a,
when you take a piece of paper and you see rocks it, you photocopy it, right?
You start with a very high resolution,
but by the time you make the thousandth copy,
you end up with a blank piece of paper.
you lose information, you lose resolution.
That's really ultimately what aging is.
As you go across time and space, you lose information.
Your body doesn't read information as well.
And that's what ends up ultimately, you know, contributing to us, losing our eyesight,
our hearing, our abilities to jump, to even enjoy life, some mental problems.
problems actually develop as well. So it's that whole tendency towards degradation.
Yeah. And the idea of slowing aging or preventing aging, I think is a pretty common,
common sense practice. It's in like, you know, you eat good food, you exercise, you don't drink
alcohol. And I think this is all things that people, you know, most people know intuitively at
this point. But that's also not necessarily the conversation of longevity, because longevity is
not just about slowing the aging process. It's about something that's altogether different. Can you
talk about that different perspective that longevity has? Sure. I mean, longevity means a lot of things to
a lot of people. It's actually a term that he has been used and abused quite a bit. For me, longevity
is the combination of health span and lifespan. Whatever intervention, whatever kind of endeavor,
project, therapy, drug helps you not just live longer, but in a healthier way. And, and
And you're absolutely right.
I think that a lot of the scientists have figured out that in order to really achieve that,
it's no longer okay to just kind of delay the onset of aging.
But now to start looking at reversal techniques.
And thankfully, science have gotten sophisticated enough to understand all the characteristics
or the majority of the characteristics of aging.
is not good to be absolute in science, right?
Because then science humbles you and teaches you something new,
which is the beautiful thing about engaging in any scientific endeavor.
But yeah, there are actual processes that allow you to take a cell, for example,
and turn it into a younger version of itself.
One of them, just as an example, is the Nobel Prize winning breakthrough by Dr. Yamonaka,
where with a set of instructions or MRNA factors,
they were able to take an adult-age-it-cell
and bring it all the way back into an embryonic stage, right?
So that in itself just shows that there is such a thing as age reversal.
The issue there, and why that in itself is not a longevity-centric intervention,
is that in the whole process of reversing the age, the cell also forgets what it's meant to do.
So if you do that in a skin cell, it goes all the way back to an embryonic stage and it forgets to be a skin cell.
It no longer performs the functions of a skin cell like generating elastins and collagen, et cetera, et cetera.
So I often liken it to, let's say, you're in your 60s and you are a successful professional, right?
And now somebody snaps their fingers and you're back to being a one-week-old baby.
Not only do you forget or you rejuvenated, but there's a problem there.
You forgot that you were a successful professional.
You forgot everything you learned in high school, in college, and university.
So the longevity intervention that now we're focusing on in the longevity field today is called epigenetic reprogramming,
which is the decoupling of identity loss with the rejuvenation enhancement.
So there's now different companies that are looking to bring back, in that example, an aged skin cell to a younger version of itself.
So in the example of the 80-year-old, you take the 80-year-old and you're bringing back to, you know, being 20, 21, right?
What we believe is the most optimal youthful age.
And that skin cell still remembers to be a skin cell except it now performs like he used to when it was young.
One of the companies that is at the forefront of that is term biotechnology's out of Stanford Lab in Mountain View, California.
Okay, so maybe you can just help give us the lay of the land of,
longevity tech and longevity startups, right? Because from my knowledge I've been able to gather here,
the idea of like a longevity community and research efforts very young. It's maybe only a couple
decades. So now that we are in the era of 2023, can you kind of place us in history? I know there's a long
future of longevity ahead of us. Where are we in the world of longevity research and product and all
of this? Like where are we in history? So longevity research is very mature.
Right. In 2000, just to give you a kind of a chronological or to center as in a chronological spectrum, early 2000, it was immoral to study aging.
2005, the Methusla Mouse Prize for extending the lifespan of a mouse was very successful in showing the scientific community that if you could do it in a mouse, then you could certainly do it in a human because the mouse is a mouse.
has always been this kind of like gateway into what works in a human, at least from a regulatory
perspective.
So a lot of really good science has happened since.
People have had permission to believe that they can not just delay aging, but reverse aging.
There's aging institutes all over the world.
There are a lot of really good nonprofit and academic institutions.
The best ones in the world are now they have an arm.
So about 2020, 2014, 2015, all of this researched technologies and all of this intervention started becoming a little bit more mature so that you can start creating companies around it.
So in 2016, all the way up until now, you're seeing an explosion of interventions that are now making their way into the,
the professional investment world, right?
Anything for a small molecule into gene therapies, into cell therapies,
they're now getting backed by VCs.
And then slowly you're starting to see the big pharma, right?
Coming in and developing different little units of longevity units.
Try to understand how these technologies, new technologies are going to be deployed
not just in the mainstream, but in their current pipeline as well.
So there's a lot of interest because, you know, longevity is trying to do this moonshot thing,
and they're actually generating platforms that are useful even for non-laugivity applications.
We have several of our companies that in trying to address aging,
the cancer becomes almost like a very simple thing to do.
And that's how, in the current landscape,
to answer your question is a lot of these longevity companies are integrating currently into the
regulatory environment into the current investment environment by deploying solutions to things
that people understand already like cancer like Alzheimer's like you know osteoarthritis and
heart disease things like that yeah so it's not just operating inside of its own vertical its own
silo it's being able to find ways it's probably helpful uh just to have
that integrated with pre-existing companies and pre-existing, like, domains of knowledge.
But just to really make sure I understand the answer, it sounds like actual applications,
actual interventions are already known, and are known science, and we know how to do them.
And now we're at the point of VC investment going into these systems to try and scale them
out to make them, like, ready for consumers.
Is that where we are?
I would say not only that, we're at the point where professional big funds,
beyond VCs even.
You know,
these are 50 to 150 million dollar check riders and above are bringing in money so that
this technologies can go inhuman,
which is,
to me,
having been in longevity for 12 years,
it's the holy grail is where is the product?
You know,
people have been talking about longevity for a long time,
but still today,
the best thing I could do is eat well and exercise and maybe take rapid mice.
and forming.
But I want next generation products.
And this is what a lot of these companies are now creating and focusing on.
It's taking all this next-gen intervention into the clinic, into humans.
And that in itself is going to allow the longevity space to just flourish tremendously.
Yeah, sure.
Let's try to make longevity a little bit more real for the listeners and also for myself.
We talked about the idea of epigenetic, epigenetic,
what is it? Reprogramming. That allows us to shave off the years and sounds like
shave off specific amounts of years, going back to a specific time. And we just are talking about
that in the concept of a single cell, which just means that if you can do that in a single cell,
like can you do that for the whole body? Like how does this work? Can you make it a little bit more
real for listeners? Sure. So in the long run,
you do want a systemic approach, right?
You want to be able to go in, get some kind of injection or some kind of IB drip system
that goes all over your body and starts rejuvenated across different types of cells and such.
Unfortunately, that is not the best way to get to market.
The best way to get to market is to pick something very simple or very needed
and go after it and show the FDA and other regular.
regulatory bodies that there is rejuvenation.
So a company like Turnbio has assessed two big markets to go after.
One of them is dermatology.
So they'll be able to go into your skin, maybe with some microneedling, with the help of dermatologists, and start rejuvenating the dermis.
And that dermis eventually comes up into the epidermis, and you'll end up seeing, like, the results that we're expecting.
is that your skin is going to get thicker.
It's going to get more youthful.
So the way it's moisturized, the way collagen and elastins are shown, the way your actual normal skin color shows up.
If you go to the beach, you're going to have better protection against the sun.
You're just going to have a much more youthful skin.
And skin is the largest organ in your body.
So that's the main thing right there.
So the idea is like more targeted applications.
And so targeted.
You said microneedling.
It sounds like it's local to the injection site.
Correct.
And what are we actually injecting into you?
Right.
The skin.
Yeah.
So one of the things we could do is like microneedle into the hair, the scalp,
and rejuvenate, you know, hair.
And that's going to have even some hair coloring applications.
where gray hair is going to be reversed.
But what it's going in is actually this little fat bubbles,
we like to call lipid nanoparticles in the industry.
But we've actually created our own novel lipids.
These little fat bubbles are food.
You're giving cells in your body food.
They eat fat.
That gives them energy to keep doing their thing.
So we've created new types of cells, of lipids, that can go into the cell as food.
And inside that cell, inside that lipid that goes into the cell is a cocktail, a rejuvenation cocktail,
which is ultimately MRNA factors.
Now, term bio, this epigenerative reprogramming company created, they use synthetic biology.
Symbio
Sime Bio to create this
very specific
safe
controllable
mRNAs
type of MRNAs
called T-U-R-N-A's
TURNus
and that's what it is.
It's a
set of instructions
inside a fat bubble
becomes food for the cell
the cells eats it
and while it's
digesting the food
this set of instructions
go into the
the cell
and the cell
it starts performing the instructions, right?
So, for example, if you go to the doctor,
the doctor says, hey, you know,
you may want to sleep better, drink more water,
eat healthier, exercise, A, Y, and Z, right?
So that's what we're doing at a cellular level.
We're telling the cell to do different things
that ultimately are structural changes to the cell.
The cell kind of relaxes and then tightens up.
And going through that process, the cell rejuvenates itself because the cell is able to remember how it used to read your DNA.
Now, this is epigenetic reprogramming.
We're not changing your DNA.
We're just reminding the cell to read your DNA in a much better way.
So it's very safe from what we've seen.
and we're hoping that when we go into human studies,
we can even show this safety level that is unmatched by any other similar technology,
such as like the MRNA vaccines that had some safety issues and toxicity issues.
All that, if you can think of it, that was like version, you know, the beta version of any kind of MRI technologies.
Now you're getting to MRNA therapeutics.
that this is all things that we have optimized for safety because we know it's important to
in in rejuvenating someone you don't want to hurt them right it's counterintuitive to do that right
and just to unpack the name epigenetic reprogramming this is actually taking back
taking me back to my biology days epigenetics means above genetics right and so it's it's like this
layer above your DNA that chooses what parts of your DNA to turn on and off and my
intuition from what you said is that the ability to read the DNA decays over time and that is perhaps
what aging is and so epigenetic reprogramming is like just sharpening the lens perhaps of your
epigenetic layer to read the DNA better that's that's a great way of put in it by the way thank you
great job um i like to i mean we some of us understand and maybe a lot of your listeners understand
like computers right so if you think of your DNA as the zeros and ones right the binary
code that makes the computer
at the very basic
happen and
start up and all these
programs are at an
epi level, right?
You start having all this coding systems
that make use
of this binary and
eventually as your computer
goes through times of space
it gets slower. Like functions
decay, the environment
like Trojans and viruses
and all this start attacking it.
Not only that, the hardware becomes a little bit sloppy as well.
And then you have issues with how that information is read properly.
So every now and then you'll have your optimization programs that come in and start deleting and doing all
these things.
Maintenance work, right?
Maintenance work.
So that's what we're doing.
We're not changing the zeros and ones, but we're reminded, we're coming in.
with the, you know, with the cleaner, right?
And the antivirus to come in and just get rid of all the crud and all the, and doing the
debugging so that your computer runs as optimally as possible.
Yeah.
And just to really drive this point home, the idea is that this works at your DNA level and
your DNA is you.
And so I think this is kind of surreal to really try and think about.
It's like, okay, we can make our skin better.
I can imagine that.
Like I can imagine my skin being 10 years ago, the hair, etc.
My eyesight get better.
But then when you apply it holistically to the whole body, like that's, I think,
kind of when it gets weird for folks.
It's like, so imagine you take some 70-year-old and you do this program, like, do they
just like rewind back to 20 years old?
Do we have any indication that we have an answer for this?
So, you know, it's good not to give an answer that is, you know, absolute.
but what I would probably see is
what I would probably say from an
speculative perspective is
you start seeing a lot of benefits
on how you feel and how your body performs
unfortunately most of the things that are important
about aging happen internally right
anything from like oh man I used to eat a burger
and when I was young it it meant nothing to me
now that I'm old is like
like, oh my gosh, I can't use the restroom.
I feel foggy.
Like, all that grease is just making me feel bugged down.
You got to take a nap.
Oh, yeah.
So that's what we'll probably see a lot of the rejuvenation happen internally.
But what I'm most excited is, you know, eventually we'll rejuvenate the brain.
So neuroplasticity, all of a sudden, you'll be able to remember things or learn new things, right?
One of the things against longevity is like, oh, well, you're going to be the same person that you've always been.
and then nothing's going to change.
Well, no, our goal is to rejuvenate neuroplasticity.
If you want to learn a new language when you're in your 90s, then do it, right?
If you want to switch careers.
So another thing is that the thymus and the way our bodies regulate hormones, right?
That could be a lifestyle issue, right?
Anyone that or any female that goes through menopause knows how difficult that can be
or all humans that went through like your teenage years.
where your hormones were just going all crazy,
know how unsettling that could be.
Well, that doesn't change as we grow.
And there's people who, for example,
can't control their weight simply because of the way
their thyroid is maintaining different things.
So there are certain systems and certain organs in your body
that will give you a much better yield
from a rejuvenation perspective.
Of course, you'll have your liver, your lungs,
Your eyesight definitely is a big one and you're hearing.
So, yeah, I think overall it's going to be a slow effect, but eventually you start seeing, you know, your skiing get thicker.
You can now run a marathon.
Your knees don't hurt as much or you're no longer a candidate for knee replacement surgery because your highland cartilage is regrowing.
your synovial fluid is able to prevent you from falling because that's another thing that happens when we age is so many falls take place and then that affects the way a person lives their life when they're in their 80s or 90s.
So all these things are probably not going to be super evident.
You're not going to come out and going to look like a 20-year-old within minutes.
But you're slowly going to have this rejuvenation effect.
the dosage is still yet to be determined.
So we don't know if you're going to be taking this every week, every month, every year, every 10 years.
Our goal is to get someone to a point where they're rejuvenated and maintain them as long as possible.
But yeah, that all remains a mystery that is exciting to go after and look into the answers for.
Yeah, certainly.
And there's a podcast that Vitalik was on that the clip of,
of this went viral when he said it, that he thinks that somebody's already alive today that's
going to live to be 3,000 to the year 3000. Do you also believe something along this nature?
That's rooted on something called longevity-scape velocity. So my, my, the CEO at the Methusla
Foundation, my business partner, David Goebel, actually came out with his idea and he was
postulated publicly and popularized by Aubrey de Grey, which is the goal that, you know,
eventually interventions that are going to help you keep living longer are going to come out at such a fast pace that you're going to be aging and then taking all these products to help you deage at a much faster rate than you're ever going to be able to get older.
If you can stay, if you can keep yourself alive to the point where technology has advanced to the deaging peak where our technology allows us to deage, then you're good.
Yeah, you've made it.
Exactly. And that's ultimately the goal. I think that is something that is very possible. I think in five years from now until 2030, it's a very critical stage. So for all those who are thinking of supporting longevity and biotech, now is the time. Because I think in the next seven years, we're going to see a lot of these interventions going to humans. And it's those those.
interventions and the success of them in humans that are going to dictate whether or not,
you know, maybe you or I or Vitalik himself are going to be able to live to be 3,000 years.
So I say it's possible. I think I'll be more bullish in 2030.
Sure. Sure. How will this industry, the longevity industry, impact listeners and people today?
Like what's, or the first? Like what's going to happen in the near term that the,
What's the first few products that are going to come out of this industry?
So right now there's a rush towards creating longevity clinics.
And unfortunately, I feel it's just a little bit more of a hype than anything else.
Like you look at a lot of longevity clinics and all they do is just like vitamin B infusions, right?
Whether or not it's a longevity treatment that remains to be seen.
But there are other clinics that actually have heart signs behind it.
Like if you look at Everest Health, Evers.EBSD-Bio, you know, they have eight years of creating the Methusla protocol and trying to figure out what actually works for you as a specific individual, and that's an average of a population.
So I think that's the first thing you'll start seeing is longevity clinics everywhere, people trying to really maximize things that could work today.
And then they're also going to become the distribution channels for all this next-gen therapies, right?
So, you know, if you really do want to make use of the best thing out there already for you,
I would say go to one of this reputable longevity clinics.
And what you'll see is you'll get, you know, normal health care.
But instead of saying, okay, see you in a year, right?
They'll say, okay, let's figure out throughout the next year every four months or every three months,
who you are, how we can optimize your vitamins.
how we can optimize your lifestyle so that you can become the best version of yourself as we
wait for this next generation therapies.
And it makes sense.
For example, the person that you are during the winter changes to the person that you are
during the summer.
And this is something that most doctors don't even care about because they only see you
once a year.
And they're pushed to see so many people during a day.
They don't really have the time even if they want to help you.
So I do think that right now there's a paradigm shift.
A lot of people actually are age,
are not just looking at life expectancy.
Like, oh, how long are we going to live for?
But we're also looking at a health expectancy,
meaning, you know, I've gone to a couple of doctors
where I said, you know, the quality of care you're giving me is subpar.
Like, I can get better care just by looking at WebMD, right?
And, you know, I don't feel demean or like, you know,
a lot of doctors out there think you're...
you're dumb and they treat you like very poorly, unfortunately, or they're just trying to push
some pills because they get some kind of kickback.
And I'm not saying everybody's this way, but it's unfortunately the system that we currently
live in.
So it's going to be a health expectancy paradigm where people are just going to give their money
to the clinics that are really going to spend half an hour to an hour to really optimize
you for who you are as an individual, and that as a statistic.
some kind of average.
What's holding back the longevity industry?
What are the obstacles that longevity as an academic study or as an industry needs to get over?
There's a few things that are holding back, not just longevity, but the next generation
therapies.
The very first thing I would say is delivery.
There's a lot of really cool stuff that's happening at the lab level, at an academic level,
that will never make it into a human.
because mice are not humans, right?
Actually, the predictability of whether or not something works in a human,
it's not very good when you use a mouse model.
Like, dogs are allergic to chocolate.
What if dogs were the Gatine Idol for whether or not you and I could eat chocolate?
I'd be very upset because, you know, it's toxic to dogs
doesn't mean it's going to be toxic to humans.
And as humans, we don't.
really know what things didn't make it to us, simply because they didn't work in a mouse.
So in a way, that's a kind of a species insanity to have another being be the gateway for
what's good for us.
So I like, for example, a new initiative called the Animal Free Precision Medicine, so
AFPM, that bio, that it's aiming at creating architecturally correct 3D,
printed human tissue that is able to be very predictive to within like 90% of whether or not
it's going to help you and I humans.
So human tissue to help see whether or not humans can actually benefit from a certain
type of drug.
So I think changing that paradigm is important so that we don't just help longevity, but also
help medicine as a whole.
Number two, delivery, right?
Just because something cool happens at an MRNA or DNA level doesn't mean we can put it inside your body.
Your body is actually very well made to prevent any kind of foreign object from coming into your body.
So it's going to be attacked.
It's going to be prevented.
So if there's a really cool set of MRNA instructions, we need to put them in a fat bubble that works really well.
So that is a nascent technology or it's a industry that needs to be developed significantly.
I know at least 20 different longevity companies that are going to go into that roadblock as soon as they start thinking of going into humans.
And number three is regulation.
Regulation meaning the understanding that aging is a disease and making that a well-known fact.
for regulators so that they can fast track a lot of this life-saving technologies.
I think it's going to be important, but we're very thankful to the FDA Modernization Act
that just passed this December.
I think the FDA now, by law, has to go ahead and modernize and start looking at how
to put together programs like the warp speed program, right, that gave us the vaccine.
well, there's a way to make a drug go through the whole regulatory environment in a year, right?
So I think the FDA needs to really sit down and figure out what the business model is that going to be, right?
The business model up until now worth billions of dollars is let's take five to ten years for any drug to go through.
And a lot of people make a lot of money in between.
But I think there's a way to make even more money by fast-tracking it, but maybe creating some kind of royal
model, maybe paying for safety, right? That could be a good thing. But those are the three big things,
in my opinion. And how would longevity, in addition to all of the awesome things that might be
able to do for us on an age standpoint, just impact other areas of medicine and the healthcare
system? What's the conversation like there? That's a great point. I think costs,
Driving costs down.
I think it's important.
I think there's a paper that came out explaining that $47 trillion is what humanity is going to spend by 2030 every year on taking care of, you know, an age of population.
47 trillion.
I mean, if you give me $47 trillion, I could do a lot with that, right?
So just from an economic perspective, and by the way, I'm an economist by training.
I think not just other areas of health care, but just other areas of the GDP are going to be improved.
And the pandemic really showed this.
If you have a population that is sick, you're going to lose trillions and trillions of dollars in actual value from society as a contribution.
So like never mind the growth in GDP that gets from having a working population, right?
Exactly, exactly.
And a population that is more productive, a population.
that has neuroplasticity to invent more,
a population that is not worried about having to work, you know,
seven days a week,
but now they've been given more time to kind of reflect about what they can do with their life.
What's the best way to move things forward?
How do we, you know, how do we use our time wisely?
I think it's a really good, they're good existential questions
and philosophical questions that,
only longevity is going to enable.
Yeah.
Sergio,
maybe you could just take a moment to tell us about yourself
and the companies that you're working with
and also just if listeners want to learn more,
where should they go?
So thanks for that.
I like to help different companies create products.
In the context of longevity,
I've been working with terminities,
Turned bio, so www.
Turn.com.
Locadia Therapeutics.
LocadiaTX.com.
Lucadia has a novel
approach to solving Alzheimer's.
My grandma died with Alzheimer's
after fighting for 17 years, and
I became indignant
when I realized
how much time and money had been
wasted.
Battling unsuccessfully Alzheimer's.
And my grandma
was not a human being.
halfway through the whole process.
And yet society paid for her to get the best health care that was potentially offered to her.
And I became enamored with disrupting health care, much like Uber disrupted transportation, Amazon, the retail space, et cetera.
You know, this is prime for disruption.
And it's going to do tremendous amount of good.
So that's who I am at the core.
also been volunteering for a long time with foundations and nonprofits. So the Methusla Foundation,
I created an investment fund for them called the Methuselah Fund in 2016. We invested in different
companies and helped them create new products and new innovations. Thankfully, none of them have
fell apart, you know, knock on wood, right? But, you know, we sold one of them that we started with
$150,000. We sold it for a deal worth $400 million. So, a merger and acquisition deal with
3D systems. And this company, called Volumetric, could create whole, the technology could
eventually create whole new printed organs. So if you ever need a kidney transplant,
and you're no longer able to be part of a transplant list because you're too old or because,
you know, whatever that may be, you know, this company is going to be able to pre-3D print you
an organ that is yours with your own cells. It's not going to be rejected. And so the whole
organ transplanting model is going to be fixed, hopefully, with this. It's a partnership between
United Therapeutics and 3D systems, and I really have really good hopes there for them. Ocean
Biotechnologies and Oncocenics, which is their, their campus.
cancer arm. I think they're incredibly important company for senolitic approach. As you get older,
you get more of this zombie cells all throughout your body. I think it's one liter by the time
you're 80 that's just roaming around, eating your nutrients, and just consuming all the good stuff
from your body. You want that to be gone, just as much as you want cancer cells to be gone.
I think that's a really cool project as well. And then we have ex-therma, which are trying to make
organs live longer and also to create cryopreservants that are going to be non-toxic,
which is a huge problem today with academia.
A lot of the materials that are being used are toxic.
So there's potentially a case to be said that all the institutions around the world
could be generating better science if they use better materials that are not toxic.
VSEM biosciences as well.
It's quite the list.
Yeah.
You've got your hands everywhere.
A little bit.
And then also Wyn Santor, which regrow your nerve endings, which is really cool for neuropathy and pain.
And a couple of the companies that are in stealth mode.
One of the fun ones is actually through the Methusla Foundation, Vitalik donated 43% of the world supply of this fun meme token community called Dojelon Mars.
Dojilan Mars, yeah, that's on the long tail of dog tokens for sure.
Yeah, yeah, it's actually, I don't know if it still is, but I think it was
Doshkohen, Shiva, and Dojilan Mars, which is number three in the world.
It's incredible, fun community, and yeah, it's a really interesting story for sure.
Yeah, well, thank you for guiding us through all of this crazy, crazy topics.
This is only like one of many, many longevity topics, so thank you for walking us
the top of the rabbit hole and I hope to continue
going down it throughout this week. Thank you.
Thank you so much for having.
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Bankless Nation, we are here at Zuzalo,
and I'm talking to Michael Greer of Humanity.
Michael, what's up?
Not much.
Great to be here.
Michael, I first met you at the 8 a.m.
Cold Plunge, and you have been there every single day.
Been best friends ever since.
At best friends ever since.
So you're at an interesting intersection
between all of the various topics
that are being talked about at Zuzalu.
The intersection of longevity,
which we had a longevity week.
I think we're going to have another one.
And also AI.
So that's a fun.
little place to operate in. Tell us a little bit about how you stumbled your way into that world.
Yeah, and honestly, I think you can throw the public goods and the crypto into the mix there as well.
Yeah, I mean, I started with, I think a lot of people in health tech start is they have someone
close to them or themselves have kind of a really tragic, you know, health event.
That kind of, you learn the cliche that if you don't have your health, you don't have anything.
Right.
And so I had people close to me find out really late about cancer.
I think a lot of people, unfortunately, I've had that experience.
And that threw me for a loop because I was in my 20s.
I had this big business success, you know, this dating site that got quite large.
So you're feeling like you can conquer the world.
And then you can't do anything for the, you know, the people sitting right next to you.
And so I went down many rabbit holes, basically trying to figure out like early detection of disease of cancer.
that led me towards genetics
because of things called liquid biopsies
that are now coming to fruition,
which is a great space.
But when I kept on going further,
I went out to the valley,
I took over operations at a consumer VPN.
I started meeting people that started giving me this,
it sounds like a very simple idea,
but I didn't have it in my head before,
which was there's something better
than early detection of disease.
You can actually monitor the whole body
going towards higher probability of disease.
Right.
More susceptible.
It's like one step in front.
of that. Yeah. Yeah. Because what the whole, I mean, we don't need to go into the whole health care system, but I think most people that spend a lot of time in the health care system called sick care now, because we focus at that end stage where it's not too late, but it's like the person's already pretty diseased and you're trying to save them, right? And you're saving them in the most expensive part of that trajectory and also the part of the trajectory where they are suffering the most. Yeah. And so that is the part that the current institution of medicine is prolonging the most. Yeah.
And it's good that they're there.
The problem is not that they're giving sick care.
That's great.
And they do an amazing job in hospitals doing that.
The problem is that we don't have a lot of emphasis on much earlier in that process.
And so a lot of people have, well, almost everybody has the intent to be to stay healthy or to be healthier.
But there's just very few tools out there that can actually lead them in the right direction.
And so eventually once I had that idea in my head,
I don't get excited about stuff until I can really understand how the whole operation works.
And then I got excited.
And so that's what we created humanity.
And humanity basically allows you to monitor your rate of aging, which is basically your probability of disease.
Is it going up or down?
And then basically guides you towards slowing it down.
So across our user base, we're looking at all the users, what they're doing.
Then we're finding users like you.
So, you know, your kind of biological sex, your age, you know, different attributes of you.
and seeing what seems, what group of actions is seeming to positively affect this endpoint,
and that endpoint is this prediction of future health.
And so what group of actions is actually making that prediction that you're going to be healthy
in the future?
Oh, those are good actions for that type of person.
Let's tell everybody that that type of person, hey, you should do this, and then see if it works.
Yeah, there's a lot of magic behind the scenes at the app that I definitely want to dive into
and we'll see if we can get some visuals up on the screen as well.
But first I want to zoom out and just like, can you give us like a high level?
just mission statement for you and humanity and also tell us just a little bit more about the
is aot gap between the current institution of health and where you think it would be more optimum
if the institution of health progressed towards.
Yep.
I'm going to, sometimes I'm going to stop you and ask for definitions of some of these things.
Sure.
The is a is a gap.
Yeah.
So the is odd gap is like currently.
Have and have nots or?
Currently the world of medicine is one way.
Okay.
And I think you as a result of you, it ought to be.
Okay.
It ought to be some other way.
Cool.
So where is it and what ought it be?
And then like your own personal mission statement with what you're building here and that humanity.
Cool.
Yeah.
So we try to boil down our mission to real simplicity.
We want to give a billion years of health back to humans by 2030.
That's funny.
So at Bankless, sorry, just a slide cast, we talk about we want to help a billion people go bankless.
That's been our line.
Billion.
It's a nice round number.
Yeah.
It's the largest number that.
humans can still reason about.
Yeah, exactly.
But I mean, so the consumer VPN that I was running, we got to 900 million users.
So, like, the beauty of the Internet is that you can actually affect that many people, right?
So that's the mission.
We want to get back those billion years and very specifically healthy years.
Right.
So those fully functional or, you know, mostly fully functional, healthy years that we,
almost all of us enjoy living.
And so that's the mission.
And kind of what we have right now, I would say the biggest.
thing, if I was to cut straight to the chase, we don't measure our health.
Right.
So those that are real seekers and kind of out there, like early adopters trying to,
you know, biohack and all that kind of stuff, very few of them even measure their health.
They kind of, they're content consumers, and there's a lot of great content out there,
and you're trying different things, but there's not, you're not monitoring yourself over time
to see if the group of things that you're doing is actually moving you towards what most of us
are going for, which is we want to be healthier for longer, right? And so what the system doesn't have
right now is measuring. The cool thing, though, is we've just entered maybe the last, you know, five
years, I would say, we've entered a time where almost everybody has a device on them which can
monitor their health. So like our mainstay of monitoring your health as a user is your movement pattern.
And so if you keep your phone in your pocket or near you throughout the day, we'll be able to
at least give you some, you know, prediction of your future health. If you have a wearable,
you know, we can feed in the heart rate. Right. There's so many out there. And you're saying that
even the very blunt tool of your phone in your pocket still can provide sufficient data. Yeah.
But then like we were, we're many years into the Fitbit revolution. Now we've got the Apple watches.
Yeah. There's the Woop Band. There's the ORA ring. There's the Sleep 8 mattress that actually
tracks you when you, when you're sleeping. So there's even other non-wearable devices that are inputting
data. And so I think this is the industry, the sector that humanity is really tapping into.
There's all this data out there. And now we can start to apply it. Exactly. And apply it in
almost leave the kind of clinical trial system and these kind of like small research study
things behind in a way. Because the whole, the secondary problem. So that was the big, you know,
is a lot. The secondary problem is that we,
because I think in the past it was easier to have one common marketing message.
So if you're a public health official, and it makes sense.
Like if you're a public health official, like you can't go out and say,
hey, there's 20 instructions to follow.
You just say, hey, sugar is bad.
Right.
And you just hope that, you know, that message can, you know, get as far as, you know,
it will go, right?
And the problem is each of us is different.
And the combination of actions actually affects the outcome.
And so to give me an example.
So like if you're if you're a certain type of person, which I am, lucky for me, don't be jealous.
I can eat as much chocolate cake.
It's not going to spike my sugar.
I've experimented multiple times with continuous glucose monitors.
It just won't do it.
I'll have to try a couple more times to make sure that the results are sound.
But the normal person would say, hey, you know, that's unhealthy.
You shouldn't be doing that, right?
And so each of us needs to start measuring ourselves so that we can actually know, you know,
what's actually working and what's not.
And so the getting away from, you know, how do you get away from that real need,
which was these simple messages, to actually applying a much more personalized thing?
Unfortunately, I don't want to say everything's in your pocket, but like, again, we have
this great delivery service that we unfortunately stare at a lot during the day.
Right.
And that thing can give you very personalized stuff.
And we actually are unhappy when we talk about how personalized it is.
These ads know too much about me.
Right.
That same thing, knowing everything about you, can give you specific health knowledge.
Right.
We can start to turn it around and start to use it for our benefit.
And I think this is where just perhaps the AI conversation starts.
Because the idea is when so many people have their phones, everyone has their phones.
And even not as many people have phones as has wearables, but a large number of people have wearables.
We have a ton of data.
And in their closet too, and now they're taking them out to use with the app.
Right, right, right, right.
Yeah.
So, like, I've had an Apple Watch, and I've loosely worn it here and there.
But since coming here to Zuzaloo, doing the morning cold plunges, going on the runs,
having this app to actually tell me what's going on with that data,
all of a sudden my rigorousness about how frequently I'm wearing this wearable has, like, tripled.
I'm going to cut this part of it.
I'm just going to send that to Apple.
Feature us more, please?
Yeah, official I always.
OS partnership app, right?
We're selling watches.
Okay, so we have all this data.
We have way more data than I think we know what to do with,
and maybe that's even like one of the big problem statements.
We have more data than we actually can apply to actually know what to do with it
when it comes to our health behavior.
But I think this is where perhaps the AI conversation starts and just the big data conversation
starts.
So can you walk us on that, rabble hole?
Yeah, and I think what you're touching on is also, I think we've had a few years.
I think all this stuff just puts it in the mainstream.
I don't think any of this was like a wrong direction, but we had a few years of like,
hey, we have a bunch of data on you and here's some cool graphs.
Right.
And I think people started to get a little bit of like, okay, well, that was cool, but
it didn't really help me.
Yeah.
And they're like, okay, you know, you can only look at your HRVs for so long and then
you're just like, I get it.
That's your heart rate variability, by the way.
And so I think, sorry, what was the question?
So now that we have other tools, not just,
just wearables, not just data, but we have AI and lots of data. What can we do with this?
Yeah. So I think that's where the cool, the cool thing that happens is when you have enough of
this data, no matter if data is noisy, no matter if data is, you know, interspersed and you're
not getting it every day, the great thing about AI is it actually can just still, it looks at all
that data and it can find all the relationships. I mean, deep learning is about finding the, you know,
the kind of relationships and associations between multivariant systems and just taking
that as knowledge. And then in many cases, it's applied in different ways. You can fold all the
proteins in the world or you can, you know, it's that deep knowledge, that deep learning that gets
that knowledge of how these variables are associated. And so that's, that's kind of the,
the byproduct of deep learning, but it's actually the beautiful thing that now we're applying
to health, which is you can take that knowledge and actually then feed it that, you can create
an algorithm off of that and then feed it back to the user so they can feed in their data and it will
actually give them guidance. The other thing, I don't know if we want to get too deep into it,
but we can go off in a tangent. I think what we're working on also at humanity and kind of plays
into the public good that's happening behind us a lot of great talks is we want to find a way,
and there is a way. We want to actually build out a proof of concept of that you can keep the data
private, stays in the same place. The owner of the data is the user. When they want to delete it off
for that place that they put it, they have full reign to do that.
But you're also able to work, the route we're going is creating synthetic data.
So we're basically deep learning learns all the relationships.
And then you create fake users that have all those relationships.
You can open up that data to then train models on.
And everybody can do that.
We have 150,000 users, but there's health tech companies that have, you know, 100 million users, right?
And there's the NHS in the UK and, you know, Montenegro health system.
they can keep their user and patient data completely private,
not anonymizing it's sent it off somewhere,
keep it where it is completely private,
but still train models on it
and allow researchers to do that, allow anybody to do it.
I think that's, now that we have blood in the water with AI,
with chat GPT just made it completely mainstream, right?
Right, yeah, yeah.
Now people are like, what else can we do with data?
So I think now is the time, really,
that we need to push to open up this data,
but not the real user data,
but actually just the learnings from it.
Right.
And I really want to drill down on kind of the problem of all this data that we have.
For anyone with a wearable or an Apple, I'm sure Android has this too.
But if you open up your health app, you can just like scroll and scroll and scroll through all the things that it's measuring, right?
Sorry, Apple Health app.
Yeah, they're taking some credit back.
So it measures things like your gate imbalance, right?
Which leg that you put more weight on while you walk?
It measures heart rate variability, which is very useful.
It measures how many steps you take.
It measures everything that it can get its hands on.
And the cool thing about the humanity app is that it actually just boils that down into just like, are you living longer or are you living shorter?
And that's really the power of applying AI here.
It's just consolidating all that data down to one output.
But hopefully, can you just illustrate the magnitude of the data problem and how AI fixes that?
Yeah.
And I don't want to be overly positive, but there is the other side of the coin, which is basically these platforms, these hardware companies, or if they consider themselves hardware companies, their sensors are getting more and more prevalent, more and more people have them, and they're getting better and they're monitoring more and more stuff.
The secondary that you touched on is they're also, and I think this is a place for them to play as well, they're also creating processed values like, you know, gait instability.
whereas I might not have a person on my team that necessarily is going to be an expert in that.
Right.
But they create this process, this feature that they take out of that data, that then we could use, like,
I mean, if you're a sports app, you get gate instability, you're like, okay, you're injured.
Here's, you know, go out on this route, right?
Right.
And I think that's, so that there's an ecosystem where there's easier and easier ways and cheaper and cheaper ways for people
to get this data on themselves.
Then there's an ecosystem that can live
within the same player where it's like, how
can we process this? So you're not just sending
raw accelerometer
and gyroscope data. And then you've got
to just learn how to deal with it.
Because it just makes it easier for
people like us, like humanity, to then
take that. And then we're like, hey,
well, actually, now that it's processed,
it's a few kilobytes and we now
can do this very cool thing with it.
Okay, so when you apply
AI to all this data, can we just unpack
a little bit more like what that means because in this day and age we just say and then we do AI and so like
that's where the variable reward is you press the button and magic happens what magic am i going to see
next so how does how does humanity actually apply AI to produce meaningful results for its users
yeah and so we're doing something i wouldn't say simple but it's you know it's kind of like
really good machine learning on it, which is basically saying what, so we see all these actions that
people are taking. And so we take all these values from your, from your, from your phone.
We take values from your input. You can say what your mood is. You know, if you're not monitoring
your sleep, you can put in, you know, your sleep. So we take some manual input. And so then we just,
we just take these all as these are, these are actions. We're not making any judgment on them
whatsoever. So a person did these actions, and then we have this prediction that happens every single
day using your movement pattern and your heart rate pattern if you have it. And we're just saying,
okay, this prediction, is it predicting that you're going to be healthier in the future slightly or
less healthy in the future slightly? So that's the end point. So you can think of it in traffic navigation.
The endpoint they're trying to look at is time to destination. Right. So they're saying,
this path takes five minutes, that path takes seven. So we're basically saying, okay, is the prediction
of your future health better or worse.
And then if it was better, you almost just like label back into that group of actions
and say, this seems to be a generally net positive group of actions for this type of person.
Right.
So that's where the stratification is the most important.
And so you just do that repetitively every single day.
And you can take time periods.
You can start to understand if there's a lag between an intervention.
So maybe if you do a cold plunge, we'll see your prediction of health better in three days and not
immediately. So you start to learn all this from the data, but in the end, it really is exactly
like traffic navigation. You're not trying to do a study on side streets versus highways. You're
basically like, hey, these cars were heading on all these different paths and all these edges put
together made a better endpoint. Got you there in five minutes instead of seven.
Okay, so let's talk about some of the healthy behaviors that do actually move the needle. So we have
all of this data, but most of the data is probably trush, and some of the data is probably
really, really good.
You always got to be careful with that, because I think the genetics space played this
out very well.
They're like, these are gene encoding areas, and then there's a bunch of randomness that,
you know, throw that stuff out.
And they're like, oh, shit, that actually, that's actually really important.
Well, nonetheless, some data is going to be more valuable than other data.
In the moment, yes.
In the moment, right?
And so, like, maybe we can actually just, like, zoom out and put humanity aside.
We'll open up the app in a second.
but just like talk about what are the big behaviors that do move the needle for people
that can actually be measured by things like our fitness trackers.
But it's like what are healthy behaviors that most people aren't engaging in
that the humanity app or just longevity efforts would tell a user to engage with?
Yep.
So I think there's a bunch and you need to be monitoring yourself and the combination is important.
So I'll keep repeating that throughout.
but the combination and the one that probably people could understand that they're different.
And so they pick up on that quicker.
Like, okay, it works for him, but it's not going to work for me.
But the combination of things makes a big difference.
And that means, like, if you didn't get enough sleep, I'm just making this up.
Like, if you didn't get enough sleep and then you do a high-intensity workout,
it might actually be net negative.
If you got a bunch of sleep and he did high-intensity, it might be very positive, right?
And probably also the order of those two.
things also matters, right?
Yeah, exactly.
Timing.
Yeah.
Yeah.
So order, you can see so well with nutrition.
Right.
So if you talk about like blood glucose and it's spiking and that being generally bad,
at least, you know, according to what we know so far, is, you know, if you go for a walk,
this is why some of these common public health messages get out there is because for
a lot of people, if you go for a walk right after a meal, it drastically lowers any spike that
you might have gotten no matter what you ate, really.
and so yeah
they order in the combination
and so what we
sorry I lost a question again
just what are the behaviors
that really move the needle
yeah and what people always want to know
so I'll list a list a few
I think
from our data
I'll give it straight from our data
we're actually seeing for some
cohorts and you may or may not be in that
cohort so please don't take this as a
prescriptive thing
in some cohorts moderate intensity
activity seems very
has very little impact.
Really?
And so this kind of like stay in the, you know, just go for a moderate jog.
For some people, from our data so far with 150,000 people, seems to not really move the needle.
And so, but the low, low intensity, which basically means like walking around,
possibly kind of low intensity yoga, that sort of stuff, is, is fairly impactful for most of the strata.
And high intensity has quite a variation in its impact.
but is every single strata needs some of it.
Interesting.
But the moderate for, I'd say, like, we have pretty large different cohorts now,
but like, let's say three of those cohorts, I could just see the data in my head right now.
Like three of them just doesn't show up.
So, and you said moderate activity doesn't move the needle.
Can you define what that means to move the needle?
Like, what does that mean?
So is it impactful in this multivarian analysis, this group of actions that people are taking in a day,
does it seem to be impactful on reducing their probability of future disease to that end point that we're trying to affect?
And that's just based on scientific study that we are looking at from indicators of health?
No, that's directly from the data is saying, yeah, so our prediction that we're getting from your movement pattern and your heart rate pattern on a daily basis,
that prediction doesn't seem to be moved impacted in a couple of the strata by the moderate.
And so that means, and you don't want to then immediately take that, and then jump to like, oh, well, that's what we thought we'd find.
Right.
But it is exciting now, I'll admit it.
It's quite exciting to, like, see the real data now.
Because I think in the longevity space, it makes a lot of sense.
But again, this is my own personal Michael gear kind of conjecture is, you know, there are certain things that you trigger in the body when you do high intensity exercise.
one of the main ones being a hypoxic response,
meaning your cells think they're running out of oxygen.
And so they start cleaning up, breaking down misfolded proteins,
like doing good stuff that makes your body stronger.
Just getting nutrients to your body throughout the day,
which is you walking around and not sitting at your desk at your computer,
is, you know, it makes a lot of sense from a systems like physics,
you know, you're going to more consistently deliver more nutrients to all your cells
throughout the day.
if you're moving and your heart's pumping it just slightly higher and getting the blood around, right?
And so that makes sense.
Moderate, you can't necessarily find a lot of kind of in the very high-level longevity kind of framework.
Be like, oh, it doesn't really do much more than the low intensity because, yes, you're moving blood around,
but you probably were moving blood around fine, walking around.
And it's not reaching the point where you're getting a hypoxic response where your cells think they're running out of oxygen.
And so it makes sense that for some strata, you don't see much going on.
Right.
And we would only really be able to know this if we have a lot of data and the models to be able to create these relationships, I'm assuming, right?
Yep.
And so, like, one question I have is, like, going back to, like, what does it mean to move the needle?
There's one, perhaps way of making a health app, which is going through all of the literature and all of the studies and all the doctors that say, hey, this is good.
It's kind of the way the most health apps are made, actually.
Right.
And then there's another way of doing this, which is just giving models, AI models, a bunch of data,
and then also cross-referencing that with how healthy these people are, how long they live,
and actually have the AI models determine what is good.
Exactly.
And then it sounds like kind of more of the approach of the humanity app where you don't want to actually have like inputs as to what is good or what is bad.
You just want to input a bunch of data and have all that data create relationships with itself and then have the AI models say like,
oh, well, this person's doing all these things, and they are living longer and being, being more healthy,
but not actually telling the models what health is, allowing the models to determine what health is.
How does a model determine what health is?
So, and then I can go back and give you kind of, hopefully it'll be interesting,
kind of the inside story of kind of the daily struggle of running a company like humanity.
So the
The base truth
And a lot of
A lot of people are starting to base models on this
And for different things, like drug discovery and things like that.
And I'm a believer.
Like there's some great people like Kristen Fortney
That runs BioAge that kind of turn me onto this idea.
But you basically go to biobanks
And biobanks are
They're run by governments.
They're run by different institutions around the world.
Different countries have them.
and biobanks are basically you follow the same people, the same humans, for decades.
And so this idea of like, how do we actually know what's going to happen in the future is solved by these biobanks,
where you have a bunch of measurements on these same people in the past.
So the UK Biobank, which were built most of our stuff on at the moment, has about 18 years of about 500,000 people,
where they took a bunch of measurements on those people in the past, 18 years ago and throughout that time.
And then you have the actual what happened to them health-wise, their health records for the next 18 years.
So this person, you know what they look like 18 years ago, and you know that they got cancer, you know, five years into that.
So, you know, 13 years ago, right?
And so that's where you can, to predict the future, you only need association.
You only need correlation.
Right.
I think we're all fed that meme so many times.
We don't know the difference.
Correlation is not causation.
Correlation is not causation, but correlation is good enough to predict the future.
correlation is correlation. Yeah. And if the same things happen at the same time repeatedly,
right, that's good enough to predict the future. Right. And so, and so that's what all these
bottles are built on. And to kind of just maybe emphasize it a bit more to really put it in people's
heads is anything you measure on the system, in this case, the human body years ago,
becomes a predictor of the future. Right. Of varying strengths. Some will be stronger predictors,
like meaning they'll they'll be more weighted into your prediction and some will be less but everything
you know their their zip code where they live there their movement pattern so in the ukbibank
they hooked on accelerometers to these people very very good force you know foresight by the way
you know 18 years ago about 100 000 of them and and heart rate monitors so that's what our
digital is built on because we know the pattern of movement second by second pattern of heart rate second by
second for people and then we know what happened to them in the future so we can make a prediction
and so that's that's basically what all these predictions are built on so one thing that i'm kind of
just excited to watch is that we're uh i i assume the amount of data that we are collecting from our
wearables and also the strength and precision of our algorithms both are up only and probably in
an accelerating fashion yeah and so and also when there's two things that are accelerating upwards
the what you can get out of that.
The competent.
Oriel, yeah.
It's like, it's to the power of two, right, is the output of this.
And so, like, what I'm thinking I'm excited about is to watch this humanity app develop
and strength and power and significance over time.
And so, like, can you just paint a picture of what you want humanity and what you want
this part of the health industry to be like in five, 10, 15 years as AI gets better, as data
gets better?
What can we do with this?
What's the bulk case?
Yep.
I think what we want to be is.
relate this to a theory.
We want to be a beacon to actually show at scale that you can basically take this data
and then figure out exactly, you know, how to guide the person with it.
And so we want to show that both it is worthwhile for us to do the little bit of work it takes
to basically keep the data private but start training models on it because, hey, all these
humanity users are getting younger.
You know, their probability of future disease is dropping.
right? Humanities told me that I started at the app at 30.3 and I'm now at 29.7.
Cold plunge.
Col plunge. Shout out, cold plunge.
Yeah, so I think that's one thing. And then on the side, and especially now that I've been
in, you know, at Zuzaloo, it's been quite, it's motivated me even more to push because I,
because I think, like I said, blood's in the water with the AI. Like, people now know, like they feel it.
They taste the possibilities, right?
And I think up into the echelons of government, people now understand it to at least like, hey, there's potential here, right?
Right.
And so what we want to do is be basically a beacon to show, hey, you want to start training models.
First of all, you have a bunch of data.
So I think sometimes the conversation starts with how do we motivate people to start collecting data?
Data is already there.
Right.
You know, the health systems have a ton of data.
Every single health tech company, you know, we have 150,000 users data.
Like the data's there.
How do we unleash that data?
Keep privacy of that data.
Stop anonymizing it and it actually loses people privacy.
Keep it private, but start training models on it.
Synthetic data is our path.
And I think that's, I would love to say in five years that we have 100 million users.
Me and my co-founder have done it multiple times now.
We have 100 million users that are using our app and we want to continually be the best guidance app.
Like we want to be the best, you know, it sounds mundane, but like we want to be the best, you know, traffic navigator, but the best navigator for your health.
Right.
So the UX, UI, the real behavior change.
The Google Maps for Health is great.
It's a great model.
Exactly, yeah.
Yeah.
And we are very good at, why we got into this is we're very good at people using an app and changing their behavior because of the app.
All the things that we might not like about some of the other, you know, social media apps, like that stuff works to change behavior.
And we're using that to change health behavior.
And so we want to do that, but we also want throughout that process to have Montenegro,
to have different places start to actually use the data that they have on their servers
to actually increase people's, you know, their lives, right?
Certainly, yeah.
And so I'm going to hit record on my phone here and we're going to pull up the humanity app.
And so congrats on actually introducing a new app into my life.
That's not an easy thing to do.
I haven't gotten a new app in years now.
but like I've been using
honored humanity for an
ever since coming into Zuzalu
so there's four main I know I'm showing the screen
but there's no point because you can't see that
so like we're going to put this on the actual screen
there's four main categories movement nutrition
mind and recovery and you get points
on side on each different one each different vertical
and the idea is to I think it's out of 100 points every single day
and so you want to score as high as possible
I've got 80 points so far so I got like 20 to go
I've never gone higher than like 92 or 93, but it's showing me a blue color.
And I like blue. It starts off red, but blue feels makes me feel good.
You got to get the blue.
And so, like, can you walk us through movement, nutrition, mind, and recovery?
How do you know how many points allocate to each one?
And how does that math get determined?
Yep.
So, yeah, like you said really well earlier, we wanted to boil it down to things that are quite easy for the user to follow.
And getting more points in a day, you know, is an easy thing to follow.
what we do is we translate so we figure out how impactful each of these actions will be for your type of person
and still quite large strata you know 150,000 users but you know as we approach a million users
that's they will get more and more personalized but we see how impactful each of these actions
will be and that then translates into how many points you're going to get for that type of action
so my points are my points but if I get two points for doing
this one activity. That's because that app weighted me to have those two points. Somebody else
could be given a different weighting because of just the data that they have. Exactly. And so
when you're going through, your guidance, all very simple stuff. Once you have that semi-complicated
kind of backend system, very easy to then say, hey, we're just going to raise the guidance to you
in order of the most points. And you can scroll through. You can decide, hey, I'm not going to do that.
I'm going to do that, right? You got to do your meditation?
I skip my meditations. I'm naughty on my meditations. Sorry to call you up.
Which is why my mind part is at the lowest, which makes sense because I'm a chronic user of Twitter and other things like this.
But you're expanding your mind here at Zuzulu, so it's all good. That's true. That's true.
But yeah, so then that's how we apply all the science and all the tracking in the back end, then just gets applied to you're getting, you know, as you go,
Maybe we need to give you four points for meditation, and then we'll get you over the edge.
The longer that I go without meditating, the app starts to wait.
You need to meditate a little bit more, bro.
We'll give you 100 points.
So, okay, nutrition, movement, mind recovery.
I would assume, like, as more data is available, more pillars could come online based off of what the models and the data suggests.
Yeah.
Yeah, it's quite simple right now.
The cool thing is you also get a bit of a kind of a crowd sourcing thing that will be going on.
will more and more allow people to actually enter in things that they're trying or doing.
And so our thing is like take everything at face value.
If someone thinks something's work, hey, do it.
But now we're giving you a method to actually measure whether it's working or not.
And if there's enough people that are doing that intervention, that action,
then we'll start to see who it's working for, for who, and in combination with what other actions.
Right.
So it sounds like a complicated matrix, but that's the great thing that, you know,
computers and AI are very good at keeping these things straight.
Speaking of complicated matrix, I think one other, we were talking about,
okay, more users are wearing more wearables, so there's more data out there.
The missing part of that that I forgot to bring up is wearables are actually getting better.
And so not only are we getting more data, but our wearables are actually getting more precise about things.
So is the bulk case for this?
It's like almost any variable about the human body, like our glucose in our blood, our insulin levels,
like et cetera, et cetera, is actually going to become more and more measurable.
And that's just all it gets fed into this app that you're building.
Yeah, and it's happening very quickly.
And like you're saying, then you get an exponential effect of like the thing that we're missing right now,
other than, you know, humanity doing it is we're just not using the data.
But yeah, once more people are using that data like we are, I think, yeah,
then the acceleration comes from better measurements, measuring different,
things. Everything is an indirect measurement. I think people forget that. Like, everything is an
indirect measurement. You're not, you're not necessarily, you know, measuring the molecule happening in the
cell. But the great thing is all of those things, when you have enough of that data, you can
understand what that indirect measurement means. You triangulate, I think, is what we were, you know,
saying. You triangulate a couple of these things together, just like heart rate and movement
pattern, and you're vastly ahead of where you were with just one of them. Yeah. And maybe we can
take this back to the beginning, which is
this is a perspective
at a vantage point that the
traditional healthcare system has not been able to have
or be able to operate with.
And so with all of this data
and with this data being made available to everyone,
what is your
hopeful case for the healthcare industry
as is able to change
and adapt to this new paradigm?
Yeah, that's a great question.
Well, one hope is I hope they see us
much later in life.
Sorry, guys, you're not
going to see me for a few decades. You know, that's one hope. I think the other thing is,
I mean, we started to see this a bit in COVID. And honestly, it took us about six months into
COVID to start even, or at least, you know, people talking about it was, hey, we have all
these different treatments. So once people are already in a bad way, they need to go into the hospital,
we have all these different treatments. And all different hospitals are like, we're desperately
trying to try different things because we wanted to save these people. It's like, do ventilators
help, do ventilators not help? Who do ventilators help and who do they not help? Like, we were trying
to get this matrix. And it started to get organized a little bit, but I think it showed like a
promise for the future is like, you should walk into that hospital visit on that unfortunate
day that you need it. And they should have it pretty personalized to know, hey, we've read all
these things off of, you know, David's body or Mike's body. And we now can have basically a diagnosis,
but much more importantly, we know we want to get David's body back to this
stabilized and healthy point, and we know the routes that we've done that on for other
people like David.
Right.
And so, again, you're less trying to categorize things.
You're just letting the AI say, we have seen this before.
Right.
And we know how to get this person back to that.
That we know the path, right?
Right.
Right.
Where the current practice of medicine is probably just so blunt as in just like it,
produces best practices for standard of care comes from a very sometimes not varied enough
population of use of patients and and sometimes too varied in the sense that the standard of care is like
the the least harm that we can do to the general population right unfortunately you're not
the general population right yeah when you walk into a hospital you are treated as if you are general
population which you both are and you are not right and with this newb world with you can come
and maybe they scan your wearable, download all of your data
and be like, here's what this person is,
here's how they're different from the general population,
here's a much more surgical intervention that we can apply
that's appropriate for this person based off of that data,
rather than having to go to a textbook that did some study
about some people that aggregated some data
and made some blanket statement about all of these people.
And the only reason why we operate on that with that study
is that because we proved that it didn't harm
any people and it provided some marginal benefit.
That's our current way.
And the new way is just something far more precise.
Yeah.
Yeah.
And I will say this.
I think we're seeing kind of an analogy with like large language models.
Just a shout out to the AI watchers.
I think there's been a lot of talk like, well, we need to, we need to compute like the world's data and spend, you know, $100 million to create a good LLM.
But even just months later, we're seeing people do it with like much less compute, like sampling data, like all the stuff that like saves money and time and pretty decent results from it.
Right. Those LLMs, those smaller LLMs are actually like performing pretty well. And so I think I don't want to, I don't want people to come away being like if only every single human on Earth was measured with a ton of stuff and we feed that into the system. I think a lot of benefit comes from just a few.
things that we're measuring and just acting on them right with an algorithm of saying hey we did
this to this type of person and this happened it's it's really the biggest thing that we don't do now is
we don't take that result of that thing and then feed it back and train the algorithm more like we
don't we we come up with a standard of care that comes from maybe some study that they did at a couple
hospitals and then we basically stopped feeding data into the system for the next 10 years right
That standard of care just statically lives, right?
And the biggest thing is we need to keep feeding the results in and be like, hey, actually seems you can both personalize it more because you do that.
Because why did it work for that person and it didn't work for that person?
You get so many of those cases that you then your algorithm gets smarter.
It's like, oh, actually for this person, this type of person, we always do this type of person, we always do this thing.
Right.
And so I think I don't want to, I want people to understand that just using the data that we almost.
already have, we can do much better very quickly.
Michael, thank you so much for guiding us down on this conversation.
Thank you, David.
If people are interested in trying out the humanity app, can they go?
Yeah, so if you have an iPhone, you can use it right now.
So just go to the app store, put in like humanity, humanity health.
And yeah, check it out.
And we love feedback.
You know, we're constantly learning and growing.
And we, you know, the more data we have, the better it is for every single user.
And then Android is coming soon.
I'm an Android user, so I feel the pain of the Android users.
But yeah, we want to be very inclusive.
So the Android's coming soon.
And then I think if anybody out there is interested in, you know, opening up health data, synthetic data, kind of looking at things like that,
where you're preserving the privacy of data, but then allowing models to be built on it, federated learning.
I would love, I'm open to all conversations, so we'd love to talk about that too.
Awesome.
Michael.
Thank you so much.
Thank you, David.
Cheers.
