00:00
You said earlier, you said I wanted to make a certain amount of money by age thirty. What was your number? What was your target?
00:06
On the lower end, it was seven million dollars. I had built out my spreadsheet model and assumed a certain rate of interest and basically said, if I make a certain amount of money, this is an annuity that will be good enough for my entire life, assuming
00:18
I don't need capital to do anything. And I just if it's time, like, I'm riding or something.
00:24
Then if I do something in the world. I had mapped out something like a hundred and fifty, three hundred million as a
00:31
a basis that would get me started on that app.
00:40
We're officially live. So, Brian, I've been messaging you for like six or eight months now, but basically
00:48
I'll give like a very brief background and and you can kinda like tell us a little bit more because inevitably I'll I'll miss something. But you've started a bunch of stuff. The most probably the the biggest thing is Brain Tree. I think you bootstrap that. Right? I did.
01:01
So you bootstrap that, sold it for like something like eight hundred million dollars to PayPal. You guys also bought Venmo, which I think is like the greatest acquisition one of the best acquisitions of all time because you bought it for kinda nothing compared to what it is now. And then you're you've done a bunch of other things you'd done kernel, which interesting, but you and you have this a fun that's kind of interesting, but the thing that I started reading is your new thing called blueprint, which
01:24
the the kind of the I'm kind of an idiot. And so the stupid way of describing it is like you have your biological age, then you have your chronological age. A chronological chronological
01:34
age is just how many years old you are.
01:37
And then you have your biological, which is it measures bunch of different things like your organs, your blood, and you're basically trying to reverse your biological age faster
01:47
than the chronological age goes up, which inevitably means you live forever. I mean, is that is that basically it? And you're blogging and like sharing everything along the way. Is that right? Great job.
01:57
So there I what is your chronological age and what is your current biological
02:01
age? I left my mother's womb forty five years ago.
02:07
And,
02:09
biologically,
02:11
I'm
02:12
a few hundred different ages. And so you for example, if you're looking at the age of your heart, you can characterize
02:20
the age of the heart with a few dozen markers. You can do the same thing with other parts of the body. And so you're actually
02:26
a collection of some very large number of markers because different parts of the body age at different speeds, and then your
02:34
life choices and environment
02:36
also affects that.
02:37
So I wanna ask you all about this blueprint thing because I think it's amazing
02:42
but can I ask you a few questions about braintree first?
02:45
Please.
02:46
So, braintree, I mean, like, you know, you guys are owned by PayPal now. Another
02:51
or another competitor to yours, I think, is is Stripe, which is, you know, these are like high-tech companies, you know, pretty complicated things.
02:58
How on earth do you bootstrap a business like that? I mean, I think by, like, year three or year four, you're doing, like, eight or nine million in revenue. I mean, you kinda, you guys kinda took off So I understand like how you're able to bootstrap it bootstrap it once you got to maybe ten million in revenue but how on earth do you make something like that from scratch?
03:14
I was I guess it started when I was twenty one. I decided that I
03:19
I wanted to try to do something meaningful for humanity. I grew up reading a whole bunch of biographies people who had done things their time and place. And I admired
03:27
people who tried to identify the thing on the horizon that was barely reachable during their lifetimes, and they went after it.
03:34
And at the age of twenty one, I didn't know what that was, and I didn't know how I could do it. And so I thought, you know,
03:40
given my options that I might as well, I'll become an entrepreneur. I'll make a whole bunch of money by the eight thirty. And then at that point, I'll try to go after something. And so it was a naive contemplation of how to go about doing things. I'd grown up in a small town, basically, you know, with my grandpa on a farm,
03:55
I didn't meet,
03:56
my I didn't meet an engineer until I was twenty
04:00
one or twenty two years old. That was very much a,
04:04
a farm boy like, raising a deep, really, deeply religious community.
04:08
And so
04:10
I did a bunch of startups, and I just accidentally fell into payments,
04:15
because I I was building a startup. I was struggling to pay my bills. I had a child at the time And I would do anything for money. I applied for sixty jobs. Nobody even contemplate hiring me. And so I found this job to sell credit card processing services door to door. And so I agreed to do And it was a hundred percent commission, and I became the company's number one salesperson,
04:36
in a in a matter of months doing it part time while building my startup. And so I just accidentally stumbled the payments and learned there was this big opportunity. PayPal had grown up during the internet, but they had stopped
04:47
really innovating for a couple years. And so developers didn't have the tools they liked. And so I started Brain Tree, and we landed a big deal early on with Open Table. They We're accepting credit cards as a, a form of re
05:00
to increase the likelihood that the person would show up for the reservation. They didn't wanna store the critical data because they had compliance issues. And so we built out a custom solution for them that allowed us to store critical data on our side instead of them so they didn't have compliance, but still accept credit cards. And so from scratch, we built this payment system,
05:18
first for them that we expanded out to more general merchants And we got a few customers like Airbnb, GitHub,
05:24
Uber.
05:25
We helped Uber do their,
05:29
no
05:30
make,
05:31
the payment experience where you get in the car, you arrive at your destination, you leave the car, no exchange of payment information, no signing to receipts, no printed on receipts, we started doing a few things like that, and we,
05:42
really made our headway into
05:44
high-tech companies going very quickly. They prefer to use our software.
05:48
You just said a bunch of things that were all super interesting. First of all, you're kinda like Elon Musk without the fame. Yeah. Like, you had your kind of payment he he had x dot com and PayPal. You you had your payments thing. Now you're doing like a brain interface and stuff like that. You you do these moonshot project trying to live forever, that sort of stuff. So I think you're you're a fascinating dude. You said something about door to door sales. And on the pod, we've talked about this before, which is,
06:13
that you know, our producer who's not here today because he's having a baby.
06:18
You know, he's Mormon and he did his mission, and we talked about, you know, what that's like.
06:22
We've talked about, you know, cut co and some of these, like, you know, Door to door textbook companies where it really breeds this, like, amazing entrepreneur because you have to learn sales, you have to be able to work hard, face rejection all the time, you know, that sort of thing. And it's like this,
06:36
write a passage. I think if you come out the other side of that, you were successful at daughter or sales, I would bet on you with any role in my company if you're successful at daughter or sales. But I've never done it. So I'm just talking out my ass here. Is that accurate in your view? And how, you know, it I guess, how do you think about door to door sales? And how did you become the number one when you don't seem like the most,
06:57
you know, charismatic,
06:59
you know,
07:05
I mean, I don't know if you had the kind of the same haircut back then, but, like, I don't know. I don't know.
07:14
I mean, it's, I guess, the, like, the one thought on this, you know, my my kids are nineteen seventeen and thirteen.
07:21
And
07:22
they're currently going through these important lecture sessions on what they study in school and, what they try to do.
07:28
I'm doing everything I can to help them focused on CS, math, and physics.
07:34
Like, these are the tools that you these are the language that you wanna be fluent in to be architects of the future.
07:40
And in many ways, my choice of doing the door to door sales was just a
07:46
it was my hacker attempt at
07:48
paying the bills with the child
07:51
while I buy time before I start something new.
07:54
And it was out of desperation and what, like, I was seeking it out.
07:57
And so it was just a and that's also the case just dealing with the reality of my skills that had grown up and disarmed, like, community, these people that just didn't have any engineering background.
08:07
And so the the thing that I enjoyed the most about the sales was it's not
08:13
doing a high pressure sales pack and it's not trying to
08:17
manipulate somebody. It's not trying to perfect the skill. It's about getting in and figuring out the system. Like, what is really going on? And if you
08:27
if you jump into the world of payments in the year two thousand and seven, when I started this,
08:32
It was defined by deep distrust
08:35
that it was a game where credit card payments is a yearly expensive. And when a when a business owner gets their credit card, month, the invoice, it's so complicated they have no idea what's going on. And the providers make it even more complicated in how they report things. And so it creates this opportunity for people to be extremely deceptive and create high commissions.
08:55
And so in looking at that system, opportunity number one, be honest.
09:00
Be transparent, be honest, and be trustworthy.
09:03
And then number two is because there was so much skepticism on this, businesses didn't know how to differentiate.
09:09
Why should I do this work with this company versus that company? When a reality, most companies were mostly the same, there was is very hard to differentiate payments. And so two is making that known. So, again, the the customer has a very clear understanding And then three is just being reliable and and competent. Like, that, you know, that when the customer interacts with you and your team, they say, what an amazing experience
09:31
And so it was once you figure out how the system worked, it was very easy to solve. And so I would just walk in And, like, the moment you walk in the store, they can tell
09:42
you're not a customer by the way you're dressed and maybe the way you're walking, whatever, and they immediately hate you.
09:48
And so you have to overcome this animosity from the get go. And so I would take out a hundred dollar bill and I'd say, I will I will, give you this or one minute of your time, and if you say no to me, you can keep it.
10:02
And
10:03
I they'd be like, alright, whatever. This sounds fun. What do you got? And I would just walk them through these basic principles, like, here's what's going on, here's what they're doing. I'm really no different to anyone else. You're just gonna find something clean and transparent and reliable with me. And most people be like, okay. I just, like, I just want it to be done. Like, I don't want to deal with any more deception. I don't wanna have to change again. I don't want these machine leases
10:26
And so it was it was really just, again, it's system,
10:30
deconstruction
10:31
and reconfiguration.
10:32
And it was the skill set that I tried to build again and again through every business I built walking into a
10:40
a new world trying to figure out what is really going on and then how to deconstruct it and then maneuver within it. Was the early product
10:47
just like an agency where you were getting your friends to help stall these credit card processors, or, you know, what, what was that early V1 or Brain Tree? Because you said you're not an engineer? What, what did that look like? Because this is pretty complicated stuff, it seems. The first product was for Open Table. It was just allowing someone to make a reservation, put in their credit card number, and have it stored. So to the user, it appeared as if I was entering my credit card information in the open table system when in fact they're entering it into our system behind the scenes. And so
11:16
I had a team of engineers, software engineers do it. And how'd you fund that?
11:21
I had made enough money from selling this stuff door to door that I could boost traffic and hire them. How how much did you make roughly?
11:28
Did you do it for, like, a year or something like that to cover the bills and all that, say, create a stash eleven months, and I remember at eleven month mark, my
11:38
my portfolio of customers were, were generating
11:41
I think it was like fifty nine thousand a month
11:44
of revenue.
11:46
And I thought that's that's interesting. Right? Like, I mean, I'm I'm coming from this world where
11:52
My family, we would decide whether to spend our five dollar family date budget on going through a car wash.
11:59
Or, you know, like, going to go in and get something at a restaurant. Like, I we grew up in so in such a frugal,
12:06
environment.
12:07
And then seeing that it was like fifty nine thousand dollars a month. Now I'd always been wanting to build I was I was not willing to trade my time
12:16
for money. You know, if someone was willing to say, I'll pay you fifteen dollars an hour to blank,
12:20
I didn't wanna make that exchange. I wanted to say I am willing to take zero
12:25
for an indefinite period of time
12:27
and exchange the opportunity to make a whole lot more. And that was true. Like, I didn't make any money till I was really thirty four years old. I was the entire time was working for basically zero, but, that's when I started seeing that what money you could make in payments on those residual revenue basis. The fifty nine thousand, that was what you were getting as your residual. So that's what the company was. The company was. And they were giving me a cut. Yeah. So you're getting a cut of that. And so you you're saying these things where you're like, I knew I didn't wanna trade time for money or, like, I wanted to, like, do the biggest, like, technological breakthrough, and I didn't know what that was. So I first decided to make some money. And by thirty, I'll have that figured out.
13:02
You're saying these things that as a twenty one year old, most people don't know or have the perspective or wisdom wisdom to to think that way.
13:11
And you're also saying you grew up kind of like on a small farm in a deeply religious community. So it's not like you were surrounded by these other, like, you know, by other technologists,
13:20
or, you know, you know, business sort of like mentors.
13:23
So where is this coming from? Did you re and even this, like, hundred dollar bill trick, like, you know, Did you read, like, how to, you know, think and grow rich or, like, what, did you did you read any biographies
13:33
or books that, like, change your way, or how the heck did you do this as a small farm boy to, like, get this type of thinking in your brain?
13:40
Yeah. I could probably make up an answer.
13:43
It seems to me right now. I have no idea.
13:46
What books you what biographies? You said you read a lot of biographies. What were you reading that changed, your life?
13:53
They've probably read over a hundred
13:55
maybe even two hundred biographies at this point.
13:58
And,
13:59
like, for example, I would go on deep dives of trying to understand certain world history events like World War II.
14:06
And so one industry biographer I read is, a gentleman, Dietrich Bonhoeffer.
14:12
He was, trying to assassinate Hitler.
14:15
And so you understand
14:17
World War two
14:19
and he was deeply religious. You understand
14:22
World War two and Germany
14:24
and nazism through the frame of this individual and his plans to go about and his observations about what other people are doing in the community. And so I found, like, these these biographies provided
14:36
this backdoor
14:37
on how to understand
14:39
events as they were told to me in school. In school, you have highly compressed version of history of, like, alright, everybody. Just go on the same page if we understand these big things that happened, but you really miss out on the nuance. And we all know how flawed
14:52
historical accounts are, because of just the nature of of humans and the way people write history And so these biographies helped me start to piece together an understanding of reality that was much more nuanced.
15:07
And sometimes
15:08
contrary to to primary narratives. And so it it,
15:13
it invites me to always reject
15:16
the first narrative that's offered.
15:19
And understand it not for a factual statement, but for
15:23
a wishful attempt to be understood,
15:27
to be accepted? You said earlier, you said I wanted to make a certain amount of money by age thirty. What was your number? What was your target?
15:35
But on the
15:37
on the lower end, it was seven million dollars. I had built out my spreadsheet model and assumed a certain rate of interest and basically said, if I make a certain amount of money, this is an annuity that will be good enough for my entire life. Assuming
15:49
I don't need capital to do anything. And I just if it's time, like, I'm riding or something.
15:55
Then if I do something in the world. I had mapped out something like a hundred and fifty, three hundred million
16:01
as a
16:02
a basis that would get me started on that path.
16:06
When you sold when you were thirty four. Right?
16:09
Yes.
16:10
And what did you, what were you able to walk away with? Were you able to hit your your your the north end of your target? Yeah. I hit three hundred billion. What is that? You know, your your
16:20
religious farm kid who doesn't know much
16:23
in and then in a matter of eleven or twelve years, you're able to walk away with, you know, north of three hundred billion dollars. What does that feel like? And what do you do with that money once it hits your account?
16:34
You don't seem like a victory dance kinda guy.
16:37
Wait a second.
16:40
But true.
16:42
That is true.
16:44
That is very true.
16:47
It's
16:48
sobering
16:52
because
16:55
you know it's bigger than what you realize,
16:58
but you don't know in what ways.
17:01
And so it wasn't the case that I had a long list of things I wanted to buy that were just waiting for this cash to come in. I don't think I've spent any money.
17:10
For a long time.
17:12
And I think you're now looking back now. Even my most,
17:20
aggressive expectations on how life would change
17:23
weren't even close
17:25
to how significant my reality would change over the years with, that event.
17:29
Well, what do you mean? What changed?
17:32
I mean, your your relationship
17:35
with the world fundamentally
17:37
changes.
17:39
I mean,
17:40
in any
17:42
relationship,
17:43
there's power dynamics of wealth
17:46
and power and status and, you know, age.
17:50
There's all sorts of things that that shape human interactions.
17:54
And
17:56
it creates a different entry point for everything.
17:59
Because now
18:01
we all know this from our experiences, when you engage with people of different powers of different levels, it changes the dynamics of your relationship with them, expectations,
18:10
interests,
18:11
rationale, justifications.
18:14
It just alters everything
18:16
about I mean, I remember one of the one of the first stories that I heard,
18:21
Someone shared with me is is Larry Bird.
18:24
I don't know if it's true, the second or third hand, but Larry had a group of good friends that he
18:28
went back to soft,
18:30
and he had just made money. I think signed it for the MBA. He sat down to have dinner with his friends.
18:35
And Larry was like, you know, I got it. Don't worry about it. And his friend's like, great great, Larry. It's amazing. Thank you so much. Second time happens.
18:43
And everyone's quiet.
18:45
Assuming Larry's gonna pick up the bill, he does third time. It's just like, of course, Larry's gonna pick us up and probably take us somewhere else. And so Larry from his perspective is just like, it
18:55
you know, the fund was removed because now instead of me being able to do something, be generous with someone,
19:02
I'm now in this expectation. And so it deterred him from wanting to interact with people because there was this expectation on him that anything he did, there will be this expectation.
19:12
And so it just it is a,
19:14
I think anyone who's experienced fame or anything of the sort,
19:18
there are these underlying dynamics of human tractions, which are just a reality for everybody.
19:23
And
19:24
yeah, it would have been helpful. I think thinking back,
19:27
if I could have spoken to somebody, and if they said, hey, like, let me just share five really important things with you on what it means to have money. And how you can best navigate this because it it's taken me some time to learn.
19:38
Well, there's probably gonna be like a hundred fifty thousand people that listen to this. You could be that mentor for them. So would you say? What are those five things?
19:46
Or give us three at least.
19:49
One is,
19:51
transparency of intent.
19:53
You know, when when you're with somebody,
19:58
it's very important that you establish why you're doing what you're doing and,
20:03
the roles you're gonna play with each other.
20:05
If it's ambiguous,
20:06
then it creates complications in your relationship.
20:09
And so,
20:13
it's, it's unpause for anyone to be surprised in a relationship of what somebody really wants in the relationship.
20:18
So just transparency, like, we're doing this on these conditions.
20:26
Two, I'd say that
20:33
Money is not a a resource
20:35
that is valuable for, necessarily for the things that allows you to acquire
20:40
is most valuable for the time it creates.
20:43
That you can solve problems
20:47
with money.
20:49
And,
20:50
So utilize it wisely, not on acquiring frivolous things,
20:54
but on solving fundamental problems of time.
20:57
And
20:59
And then three is,
21:02
there's a weird psychological relationship with it where, you are not that
21:07
and, it is not you,
21:10
and to have an identity
21:12
independent of that.
21:14
Because it can get very confusing if you don't maintain those clear boundaries.
21:19
What did you so I know that I read that you invested a hundred million dollars into your fund you guys have invested in all types of cool stuff, and it seems like you've had some really good outcomes.
21:28
And then you started a company called Colonel that we could talk about a little bit. What did you do with the rest? Did you this is a good question that Sean always asks? He goes, what do what do you do with your money? You know, like, if you had a pie chart, like, where would it be, like, just boring index funds and bonds?
21:41
It was Sean for a long time. He was, like, having the crypto and and having cash. What about you?
21:47
It depends on what your objectives are. I mean, I think
21:50
good advice for me at that point would have been.
21:55
You are an entrepreneur. You're always going to be an entrepreneur.
21:58
Cash is king. Like, don't put your money in anything that's gonna be a liquid.
22:03
So there's been times over the past couple of years where I desperately needed cash, and it was not I didn't have liquid levels that I wanted.
22:10
And so, liquidity for entrepreneurs is really important.
22:14
Number two is that,
22:16
like, the the enter the movement at Tel West Fund was like, okay. Wait. I did bring to Venmo
22:22
primarily a software engineering objective within an established industry of payments. I was moving into
22:28
science.
22:29
And the question that, I was trying to solve for example,
22:33
could we build a global biological immune system? So we all know that if a problem in the world arises
22:40
and that problem can be addressed by
22:43
software engineers coding in their computers,
22:46
to solve the problem, we're pretty good at that as a species.
22:50
If a problem arises in the world
22:52
that requires the engineering of biology of atoms and molecules and organisms,
22:57
we're not there yet. We don't have the ability to deploy millions of people who can just engineer biology
23:04
at a moment's notice and solve problems, like, is the coral reef dying because the water is too acidic?
23:10
We need carbon capture. Like, we need, you know, whatever the the problem is.
23:15
As I wanted to invest in companies that would basically serve as the foundational building blocks for humanity
23:21
of building this infrastructure so we could actually engineer
23:25
with the reliability
23:26
atoms, molecules, and organisms.
23:29
So if I wrote this in this blog post, like, if, for example, pandemic happened,
23:33
it would be amazing if we had these capabilities
23:36
to build up the biological infrastructure detection,
23:39
vaccine creation,
23:40
you know, remediation and whatnot. And that actually hand that actually was true. Ginkgo Bioworks, one of my first investments.
23:46
End up working on the mRNA vaccine.
23:49
And so it was just this idea of, like, if we've done very well mastering
23:54
programming
23:56
bits.
23:57
We are emerging now powerfully in the engineering of biology. And so some of the companies, like, we are doing synthetic biology Engineering,
24:05
one company is doing their storing information
24:08
on d using DNA. So instead of a hard drive made of the material we're accustomed to, they store it on DNA because that's nature's hard drive. Another company is doing NanoTech, building these structures atom by atom, like, literally assembling them like Legos.
24:22
And so the companies, and they've been successful. Like, some of these are breakeven, some of these are, are are profitable
24:28
And so,
24:29
I wanted to do this because
24:32
branch of Venmo was was really nice to teach about software engineering. I wanted to understand
24:38
science
24:39
and engineering of science.
24:41
And so it was really a great educational experience for me of getting deep in the trenches with a bunch of PhD,
24:47
entrepreneurs
24:48
across the range of all these different scientific disciplines.
24:51
How much do you think, I wanna talk about the health stuff in a second, but how much do you think Venmo alone is worth right now? You guys have bought that for twenty eight million I think, like only five only like five or six or seven years into brain tree, like pretty early into brain trees exist in Did you pay mostly cash for that? I mean, how did you finance that deal? And what do you think that that worth now? Because you keep saying Braintree Venmo as if, like, Venmo is as powerful or as valuable as Brain Tree.
25:17
I don't know the current values. I mean, I I stole the company several years ago.
25:22
I know it's very viable, and so is Braintree.
25:25
And so this was a decision I made when when I did sell for eight hundred million.
25:31
It was a decision of, okay, so I'm now thirty four years old.
25:34
I want to move on to this next stage of life.
25:39
Accumulation of money was not my objective.
25:41
And I could have stuck with the company, and we could have made more
25:45
a bit more valuable,
25:47
but it was like, okay. So if I do this, it's three hundred million, that's a good enough starting base to go off and do the other things. And because they were going to be in the areas of, you know, deep tech,
25:56
I knew they would take a decade or so to start. It was just gonna be a long startup process. And so and looking at the, you know, prime of my years, I thought,
26:06
I'll take this. I'll have a go at this and try to do something meaningful there. But it was just a calculation of time and and re and reconfiguring my life towards that.
26:16
And so you've now let's say that's ten years ago, ten, eleven years ago.
26:22
We're we're basically eleven years and a hundred million dollars in. And you probably at the beginning had a bunch of things that were bets that you thought were interesting. Might pan out predictions maybe of what what the world might look like in twenty twenty two.
26:37
Can you, as best as you can, give us the summary of, like, you know,
26:40
What were you right about? What were you wrong about? And where do you think the, the big sort of like,
26:47
promises now?
26:49
The venture fund has been remarkably successful,
26:52
especially a as a newbie into this to this world,
26:58
the number of good investments relative to bad investments is extremely high. So I'd say we've done a remarkably well on the deep tech side with synthetic biology, genomics, Nano Tech.
27:08
On kernel, I think we
27:10
nailed the technology selection.
27:12
Initially, there was The the idea was could we make
27:17
brain measurement
27:18
ubiquitous in society?
27:20
Then we can pretty we can measure almost everything about ourselves in a fairly routine way,
27:25
except for our brains. We don't have good technology. And explain explain what kernel is. People, listeners probably don't know a kernel is. I mean, I've just seen a helmet that you put on and, like, you think something and you could change, like, something on a computer because of your brain waves. Yeah. So if you think about, like,
27:41
So wearables are a familiar concept. We put this thing on our fingers or our wrists,
27:46
and it gives us data
27:48
like,
27:49
sleep stats,
27:50
respiration rate, heart rate, cardiovascular,
27:53
expenditure, and exercise. Like, we get these
27:57
this set of data, and it's pretty easy to acquire.
28:00
And then we can use this information to help us understand our health and wellness.
28:05
We currently can't do that for our brain.
28:08
So if I have a question,
28:11
am I in the early stages of cognitive decline?
28:14
Do I have anxiety? It's the what kind of anxiety?
28:17
Do I have depression, what kind of depression?
28:21
Is is my lifestyle conducive to states of focus or not? What is my emotional reaction to things? Just really basic questions.
28:29
And
28:30
the
28:31
most people think that their self awareness
28:35
is basically the sensor system that captures their brain. Like, because I'm conscious, and because I can feel when I have a headache, it basically is a robust enough sensor system
28:46
to do it. And that's not correct.
28:49
So much happens in our brain that we are unaware of, and there's so much data in our brain that is informative to what we wanna do.
28:55
And so this what we at kernel, what we've done is we've built a neural imaging helmet, like you said, Sam, you just put it on your head. It takes one minute to set up.
29:05
It uses light
29:06
to measure the brain activity.
29:08
And these brain activity patterns
29:10
are extremely informative.
29:12
So for example, I did,
29:14
I was a pilot participant for a ketamine study.
29:17
The ketamine is has been used for the treatment of depression. We use it as an off label study with healthy people. But the question is, what does ketamine do to your brain?
29:27
And, you know, you, of course, someone can do ketamine and they can be like, hey, Sam, how was ketamine I don't know. Like, in a different dimension, and I think I feel better, but I'm not sure. But it it's kinda like, you know, how was your sleep for the past week? It's in a extremely imprecise answer, and you're going on this subjective self assessment, your memories fade, and you really know, and it's, like, it's a disaster.
29:45
And so this
29:47
This measurement system is basically meant to standardize
29:51
the measurement
29:52
of the brain.
29:53
And so it
29:55
part b part of the challenge was building the device of identifying is there a technology in existence
30:01
that can be built that makes brain measurement mainstream. So everyone does it for everything.
30:07
And then second is can we find applications for early markets? And so we built the tech We have a few papers coming out, and now we're in the product market fit, finding the first application for the technology.
30:19
When you so for the listeners, I if you just Google Brian Johnson blueprint, you'll see it. I don't what's the URL? Is it just for the blueprint? What is it?
30:27
Blueprint dot brian johnson dot co. What, sorry, Sam. One one final comment on this just, or to make this maybe an attempt to make this intuitive.
30:35
When people begin experiencing cognitive decline.
30:39
And this may be true what happens with out with intoxication with alcohol too. We we just did an alcohol study.
30:45
When your brain is impaired,
30:47
like, we just dealt with alcohol,
30:49
with moderate alcohol,
30:52
Your brain,
30:53
compensates
30:54
for the deficiency,
30:56
and so you you can't pick up the impairment.
30:59
But you can you can record it and identify it. But at a certain level of, intoxication, your brain can no longer make up for that impairment. And so they don't reveal the self and impairment in behavior.
31:09
And so that is true with somebody who may be experiencing cognitive decline. You may be along the path of cognitive decline
31:16
And you may say, I feel great. I seem great. I'm moving great. Everything's great,
31:21
but you just can't pick it up. And so it's the value of, like, oh, wouldn't it be amazing?
31:26
If I had the ability to measure my brain on a routine basis,
31:30
that informs me of these things that I myself cannot identify. And wouldn't it be neat if everyone did it, and it was just incorporated into standard of care across all things and how we dealt with our mental health and wellness?
31:42
You know,
31:43
all the above. Is is there anything people can do if they're incogninated or declined, or is it just sort of like, well, I've measured this.
31:51
Sad news. Alright. You know, well, I don't don't have a Sean had sober up. Have you guys ever seen on twenty three and me or something like that? They they used to have, like, an all So I guess,
32:00
Alzheimer's is genetic and, like, there's like a particular type of gene that you could have that increases the likelihood that you're gonna have it. And twenty three and me used to do this thing where they said, alright, you have it, but before we can even tell you if you have it, you have to sign this paperwork saying you're not gonna assume this is a diagnosis and you can't flip out. Well, I had it. And then, like, I did flip out. And then they eventually removed that. I believe, I don't think they have it anymore because they said people were just flipping too much. And one of the reasons they removed it is they tell you that they you have this and they're like,
32:29
good luck. Like, maybe put, like, frames, like, they're like, there's all these, like, I don't know if based on this, but, like, people were like, if you, like, have frames of pictures upside down, and so you have to, like, work harder to, like, figure out who's in the picture, that's gonna, like, help you, like, get a stronger brain. But in general, when I was researching, I was like, oh, shit, I have this gene. What I have to do? People were like,
32:48
good luck. You know, just like, I guess, hopefully you'll be alright. But there there wasn't like that many things. So, yeah, what what can you actually
32:56
fix any of these things?
32:59
We think about it. Could I? So,
33:02
we are a custom to idea of society having engineering standards. So we know that when we buy an appliance,
33:08
it's going to fit through our front door.
33:11
We don't have to go measure our front door, look at the dimensions on the website and be like, is this gonna fit or not? Because we know that the door size is standard, the appliance size is standard, it can be moved into my house.
33:21
That's true for everything we, you know, so many things we do in life. We just know these standards when we agree, we built societies. We have
33:29
millions of invisible standards.
33:31
We have very few standards about our brains because we can't measure it. We know the the timing that's appropriate for green light red yellow light and red light on lights, but we know the reaction time of humans to lights. We know breaking power. We know people stop times. So when we do have data, we can actually determine that. We do not have engineering standards
33:52
around the brain.
33:55
Depression,
33:56
anxiety, cough, and decline because we have no measurement. And so, fundamentally,
34:00
the way to
34:02
How could we actually
34:05
create a step change function change in the world and how we deal with our minds?
34:09
You begin with measurement.
34:11
And once you have numbers, science begins with numbers and counting, and then ecosystems form around that. So genetics, I think, is is kind of like that. It's not as numerical
34:20
as what the the brain measurement could be. But that was a fundamental thing is if you give everyone the numbers, you give them the opportunity to build,
34:29
solutions
34:30
around with problems.
34:33
This data is wrong every freaking time.
34:36
Have you heard of HubSpot?
34:38
HubSpot is a CRM platform where everything is fully integrated. Well, I can see the clients hold history, calls, support tickets, emails,
34:46
And here's a task from three days ago, I totally missed.
34:51
Hubspot, grow better.
34:54
So this blueprint, your your your blog, I don't know what you're calling your experiment. It's pretty wild because
35:01
you know, I saw what you used to look like. You weren't bad looking, but you were definitely were thicker than you are now. Like, your jaw line is like crazy cut right now, and like you just look way different than you used to do. I mean, it's pretty fascinating and, you know, brain brain tree is amazing. You've built something amazing. This blueprint thing is like way crazier
35:18
and unique and odd, and it's awesome. And, like, I've read it and you're basically if I remember correctly, like, I've been following it, for, a bunch of months and you you do regular updates. And at first,
35:29
you were I think you got down to, like, six percent body fat and you're like, okay. I think six percent is a little bit too low. Let's go to seven and a half percent.
35:38
And then you're also, like, eating this, like, nutty pudding. I think you called it. So you have a vegan diet and you're, like, just eating like nuts and, like, tons of vitamins and, like, what appears to be not tasty, boring food. Like, you've gone all in, and the the premise behind this is I think get this blog post that said like late night, Brian no longer gets to make decisions or something like that. Like, you know, you're you're you're at home at night and you're hungry and you just would go and snack and eat bad food and you're like, I'm no I'm longer letting that guy, make any decisions. He he no longer has us to say. We're letting experimental
36:08
Brian, make the decisions from now on.
36:11
This thing's crazy, man. What
36:13
why are you doing this? And what have you found to be actually meaningful versus not meaningful? And by the way, you're doing you're doing the knees over toes guy,
36:23
thing. I noticed. You're, like, walking backwards. You're doing the Tibialis raises. This guy was on to something. You're doing it. It looked like. I am.
36:32
Yeah. I mean, so it's a blueprint, and for me, this goes back to the age of twenty one.
36:38
And to me, this is the
36:40
best answer I've ever come up with in my life. If you bay if you pose a question
36:46
How can we imagine
36:48
the human race and intelligence generally,
36:51
surviving itself and thriving?
36:54
Like, what is our plan as a species
36:57
to thrive?
36:59
Blueprint to me is the best idea I've ever come up come up with, and most practical idea I've ever come up with to address that. And so from the outside perspective, it appears to be health and wellness and anti aging and whatnot. That's all true. But, really, it's a philosophical
37:15
endeavor
37:15
for the future of intelligence.
37:17
And so the the way this, I would bridge this is
37:21
This began in,
37:23
from a pro basically, I had a problem of overeating every day. Every night at seven PM,
37:28
I would overeat. I'd either have a second serving for dinner or third serving or have desserts or do something that I would consider to be self hard. Like eating too much food, the wrong food, and it was just causing bad things to me. I couldn't sleep well. It was I was overweight, like, all the above. And so I tried everything to fix it, and I couldn't.
37:47
And so I've playfully said I'm going to fire evening, Brian, because
37:52
the bride who wakes up in the morning, the exercises, he does really well eating, staying with lunch, Brian. But this five PM to ten PM, Brian, like boy, is he a rascal?
38:01
He's always
38:02
making the wrong choice. Like,
38:05
I could absolutely rely upon him to make the wrong choice. And he always had an infinite number of reasons on why today was okay
38:14
to do the thing. And so I was like, you know what? I've had it. Like, he's done. He's absolutely out. And so I play through with this blog post of, like, All Brian's got together. We had discussion. We're like, Brian, even Brian, you're making this thing awful. And so I just I revoked to the authority from five PM to ten PM to eat. And so what started off as, like, this playful
38:32
thing
38:32
now turned into what I'm what I basically have done to my my entire system
38:37
is I now only eat what my
38:43
body asks for according to data and science. Have you not done that at all? Have you had any splurges since you've started this? And do you ever intend to do that?
38:52
I have
38:53
had infractions.
38:54
Yes. Although this is I think this is
38:58
I think this is the most interesting part of the entire thing.
39:01
So,
39:03
just to be clear, the starting point,
39:06
this is a big deviation
39:07
from how society is structured right now. Right now,
39:11
our minds
39:13
have unquestioned
39:14
authority
39:16
in deciding what we eat. So if you think about your daily life, you go to the store and you walk down aisles, you're like, ah, maybe this, maybe that.
39:24
You decide how much you put on your plate.
39:26
You decide if you go to a restaurant, you're presented with a menu, decide if you're going to have a pizza party, you decide if you're going to eat doritos,
39:33
like, you're making these decisions all the time.
39:36
It's a combination of how you feel what you want. Like, you know, that you're trying to do it or whatever, but you're basically giving your mind
39:43
unquestioned
39:44
authority to do it.
39:46
Blueprint
39:46
flips that, and it says my mind has zero authority.
39:52
My body
39:53
has a hundred percent authority.
39:55
So it the measurement of my heart and liver and lungs and DNA messaging patterns,
40:00
it directly
40:02
asks for what it wants.
40:04
Via data.
40:05
And I can never override it.
40:07
And so in this idea, so the the thought experiment is if you could achieve
40:13
perfect health
40:15
and maintain perfect health,
40:17
but it'll but it required you to accept
40:21
basically, what an algorithm is doing to deliver what you eat and when you eat,
40:25
would you do it?
40:28
And then in that thought experiment, Sam, and I've had this conversation hundreds of times now.
40:33
The reaction people have is almost this fear response.
40:38
And their conscious mind panics.
40:41
And it it's like, I I see it like a computer screen scrolling of, like, infinite number of questions. But, like, what if cheetos, pizza, party, seven to play, like, whatever. And then it like, the mind is panicking
40:53
for the contemplation
40:54
of loss of control.
40:57
That it can't do the things that it thinks
41:00
that then in line says, the only way I can be happy in existence
41:04
is if I still get to choose what I do when I do it. And the mind cannot get over it. It cannot just say,
41:10
hold tight. Like, is it poly? Let me just
41:13
contemplate. Is it possible
41:16
that I am a self harm machine?
41:19
I cannot stop myself from committing self harm I probably would never be able to do it. And if I keep on doing this, it's probably gonna lead to a pretty full outcome.
41:28
And so it's such an interesting interaction
41:30
of rolling through this thing of and I think it's really on par. If we say, like, one of the major
41:36
things that have impacted the humanity of is the Earth, the center of the universe.
41:40
Or, you know, it did. Is there an evolutionary,
41:45
force creating all things on earth? I think this one could be on that scale of a societal,
41:52
understanding
41:53
that are
41:54
unquestioned
41:57
granting of authority to our conscious minds
42:00
is at the root
42:02
of all of our problems in society.
42:04
And so the contemplation here is if if I imagine this,
42:08
could I stop self harm from happening inside of Brian? Because just like there's wars going on and there's all these tribal factions of the world, the same thing is going inside of me with,
42:20
my own body and my craving than whatever else,
42:23
I've achieved goal alignment within myself on this program.
42:27
And so that's that's really what this whole thing is about is is is trying to think through
42:33
How could I achieve goal line? And we hear a lot about AI goal line with humans and, in an exponential threat.
42:40
That I think the more interesting starting point is not for me to look on the other side of my eyeballs and say, let me find everyone else who's got a problem in the world. Let me look at myself and say, what is my own internal chaos in war? And can I even try to resolve conflict within myself?
42:55
There's a there's a part of me that's like, wow, this is,
42:59
this is incredible. I'm going through the blueprint site, looking at the the routine of looking at the photo. I mean, you're completely shredded. This is amazing.
43:08
So there's a part of me that's like, wow, this is incredible. And then there's a part of me that's like, You're doing the thing a little bit where it's like, is this mayo? No. He's calling it Aioli, where it's like, oh, wow. This is not only just great for your health. This is transcendence
43:20
for the race and the society. And I'm like, okay. Maybe I could see how that's true, but it I mean, it does seem like you're not actually it's not that your body's deciding. Your brain has just decided I'm gonna use data about what my body wants instead of impulse, you know, whatever my impulse driven, you know, brain was trying to do before.
43:37
But, like, I guess regardless, when I look at this up, like, this is amazing, but man,
43:42
you know, this looks like
43:43
a full time
43:45
pH full time effort plus PhD level intelligence
43:49
plus a bunch of money to be able to do this. I think he said his cost, by the way. His cost, I think, say, like, three grand a month. Like, it's not, like, crazy. Well, I think it's too good about, but there's also, like, the mental energy that you would have to put towards doing this is, like, you know, the the real cost. So
44:03
but but you did it in service of of other people too. So, like, you know, what is the eighty twenty? What have you discovered or been the the highest leverage
44:12
Yeah. You know, changes. I know it's in this, but say it out loud because not everyone's gonna go read the whole thing. So, like, what are the the highest leverage changes that you were able to make
44:21
during this experiment.
44:23
The first shot on this,
44:26
maybe just a reflection. Why is it in
44:29
society
44:31
Do we
44:33
accept
44:35
this ferocious system
44:37
to invite everyone to commit self harm?
44:40
Like, when you walk into the grocery store,
44:43
I mean, it is violence.
44:45
All outright violence through the representation of advertising and ingredients and sugar,
44:51
and you're in there, and you're supposed to be on on
44:55
equal footing with that, like, no way where I'll match. And the same thing when we're sized up against algorithms.
45:01
It's a totally unfair match. In society,
45:04
we just gleefully
45:06
allow this self harm. And so the individual is pitted against algorithms
45:11
and capitalism, like, good luck individual
45:14
on trying to keep your shit together.
45:17
And so it's just it's an unfair thing, and I think it's a,
45:21
It's just bad for everyone to be in this game. But then in terms of, like, the basics for people,
45:28
it's really understanding that
45:33
trying to win this game with willpower
45:37
is a losing game.
45:39
If you put yourself in a situation
45:42
where you have option a and option b, you're probably going to lose fifty percent of time or more.
45:49
And that's the whole thing I've been trying through a blueprint is yes. It's expensive right now. Yes. Like, it's difficult.
45:56
This always happens with innovation. It's always expensive and it's inaccessible and in time it gets better. And that's why I openly blog about all the things I'm doing is I'm trying to get this out so others can improve upon it.
46:10
The,
46:12
I think the most important
46:14
thing
46:15
that someone could do to win here
46:18
would be to accept the basic principle
46:20
that it's a system
46:22
that drives what you eat.
46:24
It's not your decision making. But but what about the the the, like, the specific true are there any, like, truths or any, like, hypothesis
46:32
that you believe to be true, like, for,
46:34
you know, you're like, well, I even though you said that you did a great analogy with the door frame, how it's standard, and how bodies aren't necessarily like that, but like has going vegan, like, made a huge difference to you. Is there anything about, like, for example, a lot of us sit at chairs you know, eighty hours a week,
46:50
staring at screens and we work really hard. Is there any, like, where you're like, oh, you know, actually
46:55
He's in a piston squat right now doing this whole thing. Yeah.
47:00
Are you like, well, you know, like, thirty hours is I I think in what's the the Israeli guy? He wrote the book Homatheiens.
47:06
In one of his books, he was like, you know, like Hunter Gathers worked only thirty hours a week, and that kinda seems like an ideal number Is there anything like Just sapiens. No homo. Okay.
47:15
My bad. My bad. This
47:18
I'm inclusive.
47:19
So, yeah, is there any, like, Is there any truths that that you've discovered for you that, you know, it maybe is not right for everyone else?
47:26
I started I got my pilot's license several years ago.
47:30
And
47:31
in doing so, I was assessing the risk
47:34
of death.
47:35
And one of the stats that that, stood out to me was that over seventy percent
47:41
of incidents
47:42
in aviation
47:43
were attributable to amateur pilots.
47:47
And so while I went through the certification of every plane I flew, I was typewritten every plane and, you know, whatnot.
47:54
I refused to fly alone because I knew
47:57
the risk of error
47:59
was just,
48:01
the math was there. The stats were there.
48:04
The same is true with health and wellness. I tried to do this on my own, you know, almost like going around this little bag listening to podcasts,
48:13
reading books, reading literature,
48:15
and trying to put little gems of insight into my bag, and try to piece together my own protocol,
48:20
it's the same
48:22
as
48:22
trying to fly an airplane
48:24
by myself. Even though I study it, I get typed in it, my error rates just can be very high.
48:30
And so
48:32
and the three is that
48:38
The the value here in this conversation would not be somebody feeling motivated in this moment of doing something good because tomorrow,
48:45
they're going to fail.
48:48
And it's also the value here is not debating is a vegan diet better than a carnivore diet.
48:54
To me, the the real essence of this conversation, the only way this conversation can be of value besides of all the chatter going around the world of every no everyone else talking about this is, one,
49:03
is there
49:04
a engineered
49:06
solution
49:07
that actually solves this from a system perspective.
49:10
And two,
49:11
can you do so with data?
49:14
It doesn't do anyone any good to debate is carnivore better than vegan. It's a meaningless conversation.
49:20
Data,
49:21
is the only thing that matters. And so that's why I publish all my data is, like,
49:26
I mean, I'm vegan for ethical and moral reasons.
49:29
But I'm not vegan,
49:31
because I think it's it's, you know, I didn't at the at layer of abstraction. We just put the data. We're agnostic to these inputs.
49:38
And so that's really what I'm trying to say. This is not a health and wellness gig. This is not a diet, a trend. This is really trying to get the structural formation of what it means to be human our relationship with food, relationship with happiness and and, you know, like, how we structure our lives. And it's also trying to say, let's get past these silly
49:56
tribal debates
49:58
at these layers of abstraction, which are meaningless, and they just confuse everyone. Because if people immediately say, first, they say eggs are bad for you, then they're good for you. No one, no, and they just stop at that point.
50:09
When in reality, there are more right answers than wrong in terms of doing this in a methodical way.
50:14
You know, before we started,
50:16
recording Sean was just like gushing about how like Jack and ripped you are and how he thought you looked great. Is it mostly
50:23
Are you getting any more,
50:25
attention from women, or is it all just guys like Sean or just like eyeball it, you know?
50:31
Because whenever I whenever I get in shape, I'm like, oh, yeah. My wife's here to love this. And she's like, yeah,
50:38
I guess you look alright.
50:39
It's always dudes. It's all amen.
50:43
I I think Sam, I would say the the
50:46
person
50:49
most happiest
50:50
is me.
50:52
You know, like,
50:53
I
50:54
I had terribly complicated emotions looking
50:58
at myself
50:59
in my worst years.
51:01
It just was so I felt so much shame and guilt and lack of respect
51:07
because I just felt out of control
51:10
and powerless.
51:12
And now when I look at myself,
51:15
I have such positive emotions
51:18
that I'm stable,
51:20
that, things are reliable,
51:22
that I trust myself
51:24
You know, I I trust the systems that are built.
51:26
It has transformed my relationship with myself. It transforms what I think about, what I can become as a person.
51:33
The relationships I have. So it just it's hard to articulate how significant,
51:37
the psychological shift has been for me,
51:40
and my own understanding
51:42
My own identity.
51:44
Wow. You just
51:45
gave a really great answer to a really dope question.
51:48
That was amazing. I'm glad you did that because
51:52
we set you up with sort of a goofy question, and and I think you said something really profound there.
51:57
I wanted to ask you, you you said you said something like there's a bit of a cliffhanger. You were like, you know,
52:03
willpower is not the answer. You said, you know, the the the good thing that could come of this is not, you listen to this podcast or and you're motivated to go,
52:11
you know, go eat two pounds of veggies tomorrow
52:13
because, you know, you'll revert and you're up against
52:16
this, you know, the grocery stores, this sugar casino, basically, and then, you know, your all your social media is just this, like, algorithm designed to to hook you and, you know, you are sort of David, first goliath here,
52:28
or I guess bad analogy. David won. But, like, you know, you are powerless compared to the the onslaught that's coming out. Trying to get you to make a certain decision.
52:36
And,
52:38
you know, do you but you didn't quite say you're like, you know, there's a system. But if okay. If I take that, I'm like tomorrow, I wake up, Brian's gone. I'm like, alright. Today is about a system. And I'm gonna be like, what what the fuck was he talking about? What's the system? What am I supposed to do? And that's where I would stop. So I wanna make sure we don't leave it at that. What would you say is is the approach that you advocate for? Because you say it's the data. Is it Oh, I should begin tracking certain markers, and that's the step to take, and then let my own intuition
53:06
ride. Is it is it I gotta fire evening evening Sean? Cause I had the same problem. Same problem now that you you described you had then. What do you what would you say is the actionable
53:15
way forward that that sort of is the sustainable successful
53:19
path? Yep. I'd I'd say three things.
53:22
One,
53:24
fire
53:25
the worst version of yourself.
53:28
So whatever you do, whatever it is, like, whatever time,
53:31
however, the circumstances are,
53:34
identify that person
53:36
and fire him.
53:40
So be successful with that one act.
53:43
Step number two, is make a firm commitment
53:47
on,
53:47
one step towards the system. So for example, for me, that's calories.
53:52
I eat one thousand nine hundred and seventy seven calories per day. That's it.
53:59
Not anymore. And that is my absolute budget, and I cannot go over it. And so set a firm boundary,
54:05
that that's what you're going to do, and you're gonna stick with it. And then three is you can start refining the details of what those calories are. And when you eat it, you know, you wanna pack more nutrition in over time,
54:16
but just
54:19
acknowledge
54:20
that you yourself are powerless
54:23
to win in a in a moment by moment willpower game.
54:27
And structurally
54:28
set up the path to win, fire the worst version of yourself
54:31
to get that,
54:33
muscle
54:35
to build,
54:36
set very clear boundaries and then you can you can refine. Don't worry about taking on the whole thing all at once.
54:42
It's just this baby step, and then you'll build this muscle like my seventeen year old
54:46
is he he does the identical things I do.
54:50
And, you know, Sam, you came back. You're like, how many times have you made infractions? And, like, you know, so he went through this whole thing of how many times did he have to make the error
55:00
of eating too much or making an exception or breaking the protocol or whatever And it was something like, I don't know. I I forget what we talked about. It was like something in the thirties range, you know, where I in the morning, like, dad,
55:12
I failed. Like, fine. Fine. Right? Like, but he finally up to the same point where I did where
55:18
you can get to that moment
55:19
and you're tempted to do something, and you can model out exactly what how it's going to feel to do that thing. And you can model out exactly what it's gonna feel like after you've done that thing You can model out your sleep and you can model out your next morning and how you feel about yourself.
55:33
And pretty soon, the simulation becomes so clear in your mind.
55:37
You're like, yeah, no. Like, there's nothing in that series of events where I win. Like, literally nowhere,
55:44
why am I going to do it? And then it just becomes a point where It's you know, people ask me, like, do you have cheat days and, like, no, like, I a cheat day sounds awful to me. It sounds like the worst feeling in the world
55:55
to be full and to be regretful. Like, no. That's the last thing in the world I wanna do. These baby steps, and then you build up your your muscles, and then it, like, soon just becomes a way of being.
56:05
You,
56:06
you're you're clearly,
56:08
incredibly unique.
56:10
You have you're very insightful. You're very wise. You're a person who, like, you talk to me and I'm, like, oh, man, this guy has a lot of things figured out. But you're also,
56:18
you're, like, very precise and you're, like, I filed the data. Were you a good manager you think? Did people
56:24
like working with you and for you or did they find you to be just like too challenging because you're so
56:30
You you you're you're just so you're very unique.
56:34
Yeah.
56:35
Yeah. I I joke my team at Braintree
56:38
but I didn't care what they thought.
56:41
I only cared to learn what their significant others thought
56:44
because
56:46
it's very hard to get someone's real opinion of you because it's it's difficult for someone to be honest. But when we all know when we go home from work, and we're talking to our significant others, like, that's the truth serum
56:59
in action, you know, like, where we really say something. And so
57:02
I do have some data where people have said I'm the best boss they've ever had in their life. I'm sure other people
57:09
dislike the way I I do certain things, but I certainly,
57:14
I care deeply
57:17
about being
57:18
a
57:20
high value person
57:22
in these people's lives.
57:24
And so not only, you know, a a good steward of business, but
57:28
a,
57:32
creating an environment where they become their best selves.
57:36
Was that a learned behavior? But was that like a learned behavior? Like, were you like, well, if I treat people right, I'm gonna get my outcome and or was it just like you was this like is this how you were raised
57:46
like, what what motivated that? Yeah. It just feels like the right way to do things.
57:50
I mean, like, if if you think about, like, more structurally in society,
57:54
We accept this exchange
57:57
of spending our life points
58:00
for a system of rewards
58:03
that includes status and wealth and something else. And I suppose why I bring this up is I think,
58:10
We all know how much money is in our bank account. We know how much we weigh. We know how many followers social media followers we have.
58:17
But we don't know, for example,
58:19
our speed of aging, like, how fast are you aging in this moment? And if you had aging points,
58:25
like your bank account, would you spend them a certain way? And so what I'm saying is we have a fundamentally accepted
58:33
that we are on this decline in life. We're going to set our life points. We're going through the grave,
58:38
and the things that may live on may include our reputation or, like, our contributions or whatever. And I suggest
58:44
now that may be the opportunity for us to flip it. So if you say in the year twenty twenty two, if you're looking at the horizon,
58:50
of possibilities
58:51
for humanity. Like, what is the thing you can barely see, which is barely imaginable?
58:57
You would say,
59:02
Basically,
59:05
don't spend your life points recklessly
59:08
If you can live long enough, this there may be a new wave here. So, like, blueprint, I'm trying to do two things. I'm trying to
59:14
maximally slow my rate of aging. Because entropy is very strong. You're not gonna beat it. So I'm rate I'm currently aging at point seven six. So I for every three hundred sixty five days a year, I age two hundred and seventy seven.
59:26
So I basically get like October, November, December for free.
59:29
And then
59:31
for the for the for the months I do age, then the progress is to reverse
59:36
that aging that has happened.
59:37
So that
59:39
I can be the same biological age. And so if we have aging points, we have an Asian bank account,
59:44
then society could shift instead of us saying we're gonna be a martyr
59:49
for wealth or status
59:51
or whatever,
59:53
would it change in that balance and would it more be about humans. So we become an obsessed
59:58
about what we could become as a species,
01:00:01
not what our technology can become.
01:00:03
Right. And let me ask you you, like, a lot of people who listen to this are entrepreneurs.
01:00:08
And I think one of the cool things when we have somebody like you come on versus, like,
01:00:13
you know, our buddy who's doing, like, a vending machine arbitrage.
01:00:18
And, like, you know, is he tells a different story, which is like, oh, this is great. I got this income stream coming in and was able to quit my job and do this thing. Right? That's one sort of inspiring story. This is a different one, which is like, you know, spend your creative and entrepreneurial energies.
01:00:32
On things that really matter both to you and your lifespan as well as like, you know, it's just the human civilization.
01:00:39
What do you wish people were working on? What opportunities do you see where you're like, man, we need more talent and brains going and trying to solve x or this breakthrough just happened and really nobody's
01:00:49
doing why. Or if I had more time, I'd be doing, you know, this other thing. I'll give you an example. We had Palmer Lucky on and we're like, cool. You did oculus. Now you did an Andrew. And he was like, Yeah. But before that, I was playing with this idea of, like, reforming the prison system this way or creating this, like, oil based food that's, like, zero calorie food that would just run straight through you. Like, He had these like crazy ideas. He's like, I think somebody could go do these things. Do you have any ideas like that that are, like, you know, I think somebody could go do x?
01:01:16
I do, a lot of them, but I would say I'm really obsessed with one.
01:01:21
That's,
01:01:23
goal alignment or cooperation.
01:01:26
At at the basis
01:01:27
of everything that exists on planet earth,
01:01:30
there's a singular question at play.
01:01:34
Can cooperate.
01:01:35
And so this blueprint thing, this question is, can I bring world peace to Brian?
01:01:42
In my body? The answer is yes. I did.
01:01:45
Now my mind is is a whole another thing. Right? The negative self talk, like, all the stuff that goes on in my brain, It's an entirely different project.
01:01:53
But blueprint is applicable to climate change. It's the same thing if we were to measure the world with millions of data points and let the Earth speak.
01:02:04
And then we work within those constraints.
01:02:09
That's the solution for how we can coexist with a healthy planet versus right now, our minds
01:02:16
overrun the planet. We do what we want, when we want, and how we want. And it comes at the expense of our planet. So just like we're committing self harm to ourselves,
01:02:24
We're committing harm to the earth.
01:02:26
Collectly, it's the same problem.
01:02:29
And so if you can think about goal alignment within ourselves,
01:02:32
between each other with planet Earth and with AI,
01:02:36
it's a gigantic,
01:02:38
computational
01:02:39
goal alignment problem.
01:02:41
And so the idea, like, this AI alignment problem we have to talk about now, like, between AI and humans, like, what? Like, we don't have goal alignment within ourselves. Let alone between humans and then humans and AI, it's a it's kind of a crazy notion.
01:02:55
Then, you know, like, if you look at the number of disconnects on that entire stream,
01:02:59
And the starting point in most people's
01:03:02
assumptions is let me start with what I can see and how I can change the people's behavior versus looking in. And so I'd say Yes. I have ideas, but none of them matter
01:03:12
because unless we can solve cooperation,
01:03:15
what is it that we have to look forward to as a species?
01:03:19
So what's an example of that? So, like, you,
01:03:23
you talked about basically, like, goal alignment first with your body. Right? And you were able to solve that and blueprint is a good example. What's another example of how you would take this idea of cooperation or goal alignment? And what would be like,
01:03:35
more specific, like, point of attack or, or, like, product or service or whatever that would be created
01:03:41
along those lines. I mean, the brain. Like, so I would love to tackle my brain next, and that's what kernel is. If I have this device and I can measure my brain, if you think about it in, like, what we eat today as a dietary input to our bodies. And you think about what is my diet for my brain? Like, the news sources, the social media sources, my friend, my
01:04:00
environment,
01:04:01
we have no idea
01:04:03
what's happening. We don't we have we have a measured. And so is it possible that we basically eat ninety percent junk food in a given day to our brains
01:04:12
because that's just where society is structured. And so I'd love to address that of getting a baseline of where my brain
01:04:18
And then, more broadly, I've been talking to several people,
01:04:21
who,
01:04:23
specialist in math and computational methodologies
01:04:26
to try to figure out,
01:04:28
are there mathematical approaches
01:04:30
in the same way that John Nash came up with, you know, game theory
01:04:35
are there mathematical approaches to think about
01:04:38
how we might solve this,
01:04:39
between humans, between humans and AI, between the human AI and the planet? And so, like, you know, again, I can do this with my body. It's a it's a pretty straightforward thing to do
01:04:49
now, but it's just gonna be a more complicated
01:04:51
than more agents you have in the game. So I've, like, worked with Tim Ferris, in the past. And, like, I remember I would ask, like, we would just an example is, he we'd be walking our dogs together and I'd be like, oh, Tim, that's a cool dog leash. And he'd be like, oh, this dog leash, you know, the reason it's interesting is made of horses hair, which is good for the dog. For this reason, that reason, I found it Japan,
01:05:09
And, then we had like biology on the, podcast, you know, and he was like, when he would go through these, like, we were just asking, like, what he had for breakfast? And he would just give us this, like, complex answer and it was actually pretty profound. Palmer Lucky was kinda like that too. And you are one hundred percent in that same ballpark where
01:05:25
I make a stupid joke and I ask a dumb question
01:05:28
we ask something that seems straightforward and simple and you give like a pretty profound
01:05:32
answer. And what's interesting is you actually do this thing Elad does where you ask them a question and most people don't do this. They pause.
01:05:40
They don't they'll actually not talk for like ten seconds and they just think. And I actually I try not to interrupt because most people are uncomfortable with that. One time I interrupted you where I where you got silent. The the by the way, the keto good interviews, you don't interrupt that. So I kinda screwed that But you, you, like, are really thoughtful and, like,
01:05:57
in one way, it's exhausting because, like, everything you say is, like, profound, and I'm, like, about it. And I'm like, well, I wanna ask you all these questions about that too now and this and this. On the other hand, it's,
01:06:07
it's refreshing. I mean, it's just enlightening. You're just you're you're just an interesting human and you you're your intensity
01:06:14
is I can see it being off putting for some people, but for me, like, I I'm I'm I'm I'm into it. You're you're just a very unique person. I I think it's like really interesting to hear,
01:06:25
your perspective. Even don't think you've said anything that I agree or or, that I disagree with, but maybe you have. And it's like, well, that's okay, but you're just like an original thinker. I dig it. Thank you, Sam. Appreciate that. What's, give us before we go, what's one of these contraptions behind you? Give us what what is one of these interesting things? That's just occurring, Vashid. It's an Yeah. One of them looks like a soda stream or something. That looks like a genetic sequencing machine.
01:06:48
That'd be funny. Like, got me, like, you know, coke and Pepsi and
01:06:52
Yeah.
01:06:53
Is that a fucking eventful one or two? Yeah. Yeah. So we I last
01:06:59
week, a couple weeks ago, we bought a medical grade, hospital grade ultrasound machine. And so part of this has just been buying a
01:07:09
the kind of equipment that allows us to do the stuff we're trying to do. And so, for example, ultrasound
01:07:14
so if you look at the the pyramid of measurement,
01:07:19
Wearables are, like, part of the first category,
01:07:22
and then you get to bio fluid like blood draws and, and, you know, urine and whatever else. Imaging
01:07:28
is an entirely different quality class. And so if you wanna get really good data on on yourself, it's a ultrasound and MRI and,
01:07:36
you know, live stuff regarding kernel. And so,
01:07:40
we really had to build up this infrastructure. So one of the reasons why this is so expensive is we've basically built out, like, a mini clinic hospital here with all the stuff we have. And such, like, we're allowed because it's in your house.
01:07:52
Mhmm. And are there, like, four dudes just kind of, like, that are your physicians that monitoring you at all times, or what's gonna what's your team? What's your stack for for people with the body stuff?
01:08:02
For the ultrasound, we have five sonographers.
01:08:06
So one sonographer specializes in, the heart one does
01:08:12
lungs, pancreas, liver,
01:08:14
kidney, another one does, musculoskeletal,
01:08:17
another one does,
01:08:19
doppler for the brain. And so, for example, I we just did,
01:08:24
one of the ways to quantify working out
01:08:26
is we're using ultrasound to measure tendons, ligaments, like all the component parts of my joints, ankles, knees, hips, elbows, shoulders.
01:08:35
And then we implement the these exercise regimes, and then we look at the changes. So, like, are they working to still what degree?
01:08:42
So everything we do is to quantify it. And so it's not like, oh, this thing makes me feel better
01:08:47
feeling to rarely
01:08:49
matter with anything we do. And so, yeah, this the hardware and the the specific team. And so just like we have five stenographers, run the ultrasound machine. We have specialists in lung, specialists in the heart, specialists in other areas. So the team is like twenty five or so. Maybe now,
01:09:04
altogether that had different specialties.
01:09:08
Man, this is crazy. Sean's answer to that question is, like, I just got like a poster of dogs playing poker, one shoe, three hair pods and a couple empty diet coke cans. Like,
01:09:19
if we ask you, it's like You mean that ultrasound, mister I'm I'm I see, I don't need all this measurement. Like, if you just export my DoorDash history, it'll tell you how I hate you. Yeah. Yeah. Yeah. Yeah. Yeah.
01:09:30
Greyhound right now. Yeah. Does chick play make you older or younger?
01:09:35
What are your thoughts on ranch?
01:09:40
Bry, this has been awesome. Thanks for thanks for coming on. We've been we talked about you way back as, like, this awesome guy, and it's amazing to to get to meet you and hear some of the stories and ask ask our questions firsthand. So appreciate you coming on. Yeah.
00:00 01:10:09