Dec. 1, 2023

Michael Muthukrishna: What is a Theory of Everyone? Who We Are, How We Got Here & Where We're Going

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Michael Muthukrishna: What is a Theory of Everyone? Who We Are, How We Got Here & Where We're Going

Michael Muthukrishna is Associate Professor of Economic Psychology at the London School of Economics. He has degrees in Engineering and psychology, with graduate training in economics, biology, and statistics. At 32, Michael was one of the youngest tenured Professors at LSE. Michael uses the "Theory of Human Behavior" to tackle a variety of related topics, including innovation, corruption, the rise of large-scale cooperation, and the navigation of cross-cultural differences. TIMESTAMPS: (0:00) - Introduction (0:22) - What is A Theory of Everyone? (11:39) - The Multidisciplinary Approach (20:00) - The Story of Us (27:00) - Cross-Cultural & Species Differences (39:52) - Software of Minds (46:38) - Human Behavior & Artificial Intelligence (56:01) - Scales of Co-operation (1:02:34) - Societal Conflict & Corruption (1:11:00) - How Far We've Come (1:16:38) - Where Are We Going? (1:27:27) - Practical Implications (1:35:50) - Diverse Intelligence (1:39:30) - Conclusion EPISODE LINKS: - Michael's Website: https://michael.muthukrishna.com/ - Michael's Book: https://atheoryofeveryone.com/ - Michael's Publications: https://tinyurl.com/prxcd9se - Michael's Twitter: https://twitter.com/mmuthukrishna CONNECT: - Website: https://tevinnaidu.com/ - Podcast: https://podcasters.spotify.com/pod/show/drtevinnaidu - Twitter: https://twitter.com/drtevinnaidu/ - Facebook: https://www.facebook.com/drtevinnaidu/ - Instagram: https://www.instagram.com/drtevinnaidu/ - LinkedIn: https://www.linkedin.com/in/drtevinnaidu/ ============================= Disclaimer: The information provided on this channel is for educational purposes only. The content is shared in the spirit of open discourse and does not constitute, nor does it substitute, professional or medical advice. We do not accept any liability for any loss or damage incurred from you acting or not acting as a result of listening/watching any of our contents. You acknowledge that you use the information provided at your own risk. Listeners/viewers are advised to conduct their own research and consult with their own experts in the respective fields. #MichaelMuthukrishna #TheoryOfEveryone #Economics #Psychology

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Michael, you wrote a book and
it's called A Theory of

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Everyone, and that title is very
fascinating.

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I mean, everybody talks about A
Theory of Everything.

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What inspires someone to write a
book about a Theory of Everyone?

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Yeah, so I mean the the title is
a play on, you know, a theory of

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everything from physics.
It's a very modest title.

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It it it, you know, it reveals
the scope of the book.

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Now so I mean the the one of the
clients in the book is that

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there are these moments that
happen in a science and it's the

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moment when you know a science
really becomes a science.

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So just quickly for listeners
who who who haven't heard the

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phrase before, a theory of
everything in physics is this.

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Ideal grand unifying theory that
connects all of the fundamental

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forces that you know, connect,
for example, the physics of the

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very vast general relativity
with the the physics of the

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extremely tiny, you know, the
quantum mechanics in one theory.

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But even before that, the story
of physics is a a story of.

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What was previously confusing
and not understandable, becoming

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understandable and slowly
connecting up and realizing that

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these things that we thought
were disconnected or actually

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part of the same phenomenon,
right.

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The way that waves behave in the
ocean is allows us to understand

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the way that sound waves also
behave.

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For example.
So, so you know, we the world,

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when you get these kinds of
theories, the world becomes more

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understandable and we can move
from science to technology,

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right?
Like we in physics, we used to

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think that Thor was banging on
his hammer like capricious gods

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were creating the weather.
Then, you know, Newton comes

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along and Maxwell comes along
and Einstein comes along and

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they write down equations that
like that's not what's going on.

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Here's how the world really
works still and that and that

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allows us to, you know, launch
a, launch a rocket, put a, put

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a, put a probe on a on an
asteroid, right.

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That's what you get now
psychology and behavioral

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science and the social world
isn't like physics.

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We don't have well behaved
systems.

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You know, I my my brother's a
physicist brother, my brother

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Dan.
And actually I was in a

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conversation with Dan that the
the title came out.

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But you know, I I often we joke
about like, who's studying the

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more fundamental questions.
And, you know, he's like, I work

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on, you know, the inflation of
the universe, beginning of it

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all.
And I'm like, that seems

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fundamental.
But what's more fundamental is

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why you even care about that
question, right?

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That's a question of behavior.
That's the really fundamental

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question, right?
Our science isn't like that.

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When you're talking about people
or society or culture, you're

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talking about chaotic,
confusing, very difficult to

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understand systems, right.
It's not even like chemist, It's

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not even chemistry.
So chemist like.

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Alchemy became chemistry again
when we developed this

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underlying theory, right?
So Newton, he's a great

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physicist.
He's not a stupid guy, but he's

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trying to turn lead into gold.
Why is he doing that?

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He doesn't have the periodic
table yet.

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He doesn't know that the world
is made out of elements and that

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they are, you know, recombining
in particular ways by particular

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rules.
Once you know that, once you

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have the periodic table, that's
when alchemy becomes chemistry.

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But it's still a relatively well
behaved system.

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Our world, the human social
world, is like biology.

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But biology went similar
revolution, right?

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Like we didn't understand why,
you know, the Peacock has this

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beautiful, elaborate tail and
the peahen is this drab brown.

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And we didn't understand why.
You know, snakes lay eggs and

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also birds lay eggs.
But you know, humans and other

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mammals have live birds.
It's all chaotic and confusing.

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And then Darwin comes along,
right?

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And Wallace and later, you know,
synthesis, right?

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And we get this theory.
And it gets mathematicalized in

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the early 20th century, where it
becomes a formal theory that

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makes nice predictions.
But it's a confusing it's the

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rules by which predators and
preys prey interact with each

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other.
It's the rules by which species

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evolve.
It's the rules by which there's

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competition within a group,
within your own body, you know,

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within an ecosystem, and so on.
And those rules are important.

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So if you're an ecologist and
you want to understand an

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ecology?
If you just go into a forest and

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suddenly start measuring, you
know, things, you you wouldn't

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understand it unless you
understood the way in which the

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predators were related to the
prey and the energy pathways and

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the water pathways and the
carbon pathways and so on.

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So this happened in, you know,
the modern synthesis happens in

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the early 20th century where we
start formalized mathematically

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Darwinian evolution and we get
all of this, you know, important

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insight to that in the late
1980s.

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Two population geneticists at at
Stanford so Luigi Cabelli

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Schwarzer and Mark Feldman, and
a a physicist turned ecologist

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turned anthropologist Rob Boyd,
and an ecologist, Pete

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Richardson.
They start building on this

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framework in in the modern
Citizens and they ask an

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interesting question.
They say when will an animal

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begin to rely on social
information?

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Because we know that when
animals encounter a new

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environment, they have to
genetically adapt to that

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environment, right?
And otherwise they have to kind

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of learn, they have to do trial
and error learning and figure

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out how to survive in that
environment.

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But humans are doing something
different, right?

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And we want to understand how it
is that humans seem to be

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socially learning from one
another.

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So I'll quickly kind of give you
the insight from some of those

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models.
So when the environment is very

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stable.
Then genes are a good

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adaptation.
So for example, dark skin,

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right?
It's it's very well matched to

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distance from the equator, while
because you want to have an

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optimal level of UV radiation,
enough to synthesize vitamin D

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in your skin, but not enough to
get skin cancer.

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And so, you know, that's a
genetic solution because, you

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know, on average there's weather
patterns, but on average, the

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amount of sunlight in the
equator is a lot more than it is

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in Norway, right, where you get
rid of your melanin.

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When the environment is very
unstable, you know when day the

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water is here, tomorrow is
there.

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Now the red berries are edible
and there's no red berries

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anymore, and now the blueberries
are edible.

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You can't solve that with genes.
You can't have genes that tell

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you what to eat.
You have to rely on individual

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trial and error learning.
But in between, there's a zone,

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we could call it a Goldilocks
zone after Goldilocks and the

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three bears, this ideal zone
where your parents and

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grandparents have some knowledge
or they're paying attention to.

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So it's not just genes.
And it's not individual

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learning.
It's actually the zone where you

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start to rely on what other
animals do.

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So they write down these
equations and they say when you

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know, it matches generation
length and when you know,

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they're the kind of cyclical
nature where, you know, you can

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imagine, like cyclical drought
and grandma remembers, you know,

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so you haven't experienced A
drought.

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Your parents have an experience,
a drought.

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But Grandma remembers that when
she was a child, there was a

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drought and they went left to
the forest, to the mountain.

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Then she leaves her tribe to
safety.

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And you know, I was talking with
a with an anthropologist, Kim

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Hill and he was like, did you
take that story from one of my

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existences?
I was like, I don't think so.

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He's like it's, you know, it's
everywhere in the in the world

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period.
And you know in the

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anthropological record.
And it's true.

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This is what happened.
So they write down these

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equations in the 1980s.
Nineteen 85 is one of the key

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books and everyone kind of is
interested in the in the 90s.

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But it's just like math, right?
Like it's a mathematical

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formulas, who cares and is
making these predictions.

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And in the late 90s, in the
early 2000s, you know, so let's

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say what 20 years ago?
We get ice core data which tells

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us what the weather patterns
were at the time of human

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evolution and what, low and
behold, what we find is high

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variability that would have
selected for individual

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learning.
And then this kind of Goldilocks

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zone of environmental
variability exactly when humans

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are when when culture takes off.
So now everybody's super excited

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in the early 90s and it leads to
this burst of activity where

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more people are like OK, well if
the do we really have theories

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to predict human behaviour and
human evolution?

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Is that where we are?
Did we just extend biology into

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the human and social world and
so that all this buzz of

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activity and and and the
theories start become

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predictive, right.
So you know one of the examples

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that I use in in one of my
papers I think is in the book as

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well is is conformity.
So in psychology since the

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1950s.
You know, Manash had these

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studies where he showed that
people would conform to what

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other people did.
And then people, like,

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experimentally tried to figure
out when who conforms, when do

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they conform, you know, And they
spent like 50 years figuring

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this out.
And we had no insights.

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We had no insights about
anything generalizable because

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you can't.
It's like the ecologist without

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evolutionary biology.
They're like they're measuring

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all the stuff and some of it's
replicating and some of it's

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not.
And there's no you have no

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general theory to hang
everything you're learning on.

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But those models were making
predictions on conformity.

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They said something specific.
They said, look, it's going to

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be a sigmoidal curve.
What you're going to find is

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that you're going to get more
conformity the more you have

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deviation from the average and
if there's more options than a

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smaller conformity.
So it's a very specific

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mathematical formula.
And when we looked because we

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never thought to look for a
sigmoidal curve low end, that is

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what conformity looks like.
And there's examples of this,

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you know, where it's like
suddenly we have these really

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powerful predictive models of
human behaviour and social

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change, the way innovation
happens, what corruption is,

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what cooperation is.
And in the sciences, you know,

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there's there's, you know,
economists like Nathan Nunn, Tim

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Besley, you know, people who who
are known in the field who are

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starting to use this in their
own research.

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There's biologists like Kevin
Leyland.

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It's it's basically expanding
out into these other places.

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There are two Max Planck
institutes.

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Dedicated to to cultural,
evolutionary research, but the

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public don't know about it yet.
There are some amazing books,

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don't get me wrong.
So Rob Boyd wrote a book, A

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different Kind of Animal.
Joe Henrik has a book, The

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Secret of Our Success and The
Weirdest People in the World.

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So, you know, Pete Richardson
and Leslie Newson have a book, A

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Story of Us.
You know, all of these.

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But some of them are, you know,
they're very scientific books.

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And I I was like, you know, this
is great, but I want to build on

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that.
I want to tell.

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I want to show people and I want
to show people not by saying

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here's five different studies.
That show you, you know that

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this is what I'm saying is
correct and you just got to

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believe me, believe me, that no,
I want to show you in your

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everyday life.
I want to show you how your

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brain is working in a way that
you can test it.

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I want to show you how your
children learn, how you can be

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more attractive, clever, more
creative, more innovative.

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How you can build better
companies.

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And I want to show you, I want
to, I don't want to tell you.

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I want to show you you know
where you can, you can apply

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that and then I want to show
like take it for granted.

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This is because I've shown you
lots of examples and shown you

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the research that backs up.
And now I want to show you what

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this means, that if you have a
periodic table, you can start to

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do chemistry.
You can stop doing alchemy,

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because there's a a lot of
alchemy in the human and social

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sciences, because not everybody
knows about this stuff yet.

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If we stop doing alchemy, we can
govern ourselves better.

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We can deal with inequality.
We can increase innovation,

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create a creative explosion.
Revamp the way that we educate

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humans, because we now know that
human behavior is driven not

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just by hardware but by
software.

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We can think about the problems
that South Africa faces.

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We can reframe that.
We have a framework for thinking

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about those problems and
identifying what levers are

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actually at our disposal if we
want to solve these challenges.

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Yeah, I think if you.
Can do.

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Chemistry you can build, you can
do technology.

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So sorry to cut you off there
Michael.

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It's it's pretty amazing how
you, you, you take the story,

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the story of human history and
then and it allows you to

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predict and project forward so
well via this almost

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mathematical economical
approach.

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Because for a long time we
assume that biology and let's

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say microbiology or studying
biology at its core would give

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us these answers.
But it's it's so strange and

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amazing how we've gone beyond
that.

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Engineering now has the answers,
artificial intelligence and it's

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gone beyond the field of
biology.

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How do you feel that's played
out and why do you think that's

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happened?
Yeah.

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So you know the I I found
something new.

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So I'm trained as an engineer
and I only, I only realized so

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I've met over the years
engineers who became scientists

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and I was you know I, Joe, Joe
Henry, my advisor was was one of

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these people right.
He was an aerospace engineer.

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And I realized there's something
about the way you have when you

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when you're an engineer, you
can't afford to only understand

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one component in the system
because you have to think about

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how your component.
It connects with everything else

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you it's you're building you're
building a product and you so

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you have to understand how your
little thing there you zoom in

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connects, especially if you do
architecture, right.

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You have to be able to you know
like software architecture or

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the architecture of a system.
You need to be able to zoom in

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and out.
You have to be zoom in and out

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see the big picture go back to
the small bit go back to the big

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bits and I see engineers who
turn into they all do this and

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they do it without ever thinking
about it.

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And anyway, the the, you know,
like it's the software, you can

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get this kind of training right?
And I think that's why it's it's

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a lot of the time because a lot
of scientists no matter what

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their discipline are have a
they're they're looking at one

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thing.
You know it's like you know you

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know the the the story of the
the blind man who encounter an

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elephant you know so you got
some fields who are feeling this

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area.
You know they say like where one

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field ends and another begins is
what you consider signal and to

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consider noise like what you
consider worth studying And the

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rest is it's like I don't know
it's you know it's we can hold

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that constant.
You know, so the geneticists and

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the economists and the political
scientists and, you know,

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biologists, they're all working
on these.

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You know, it's like one's
grabbed the tail.

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It's like, I think this looks
like, you know, it looks like a

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rope.
You know, someone else has got

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the, got the trunk.
It's like, no, I think it's more

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like a snake.
And, you know, the other one's

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got the, you know, so it's a
wall, it's a tree trunk.

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And it's only when you step back
that you see this tapestry, you

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see how it's all connected to
it, how all these pieces.

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And that's not the power, by the
way, of an overarching

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theoretical framework.
It makes the confusing and

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chaotic.
Less confusing.

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So if you look at if you if you
if you look at my, my, my my my

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CV.
Like if you look at my research

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you know, I, I, I, I work work
on the evolution of religion.

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I Co direct the database of
religious history.

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I have a paper in nature ecology
and Evolution on the evolution

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of brains of whales and
dolphins.

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I have a common project on
octopus brain evolution.

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Right.
And and life history.

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You know, I work on corruption.
You know and and and people look

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at this CV.
You know I I work on on

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behavioral science and cultural
evolution to be able to how to

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measure this in diversity and
immigration and they look at

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this they're like dolphins and
corruption like are you are you

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looking is this like a fish
thing like what is happening and

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and to them it's like these are
like these are separate lines of

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research but if you have this
periodic table you realize those

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are all they're part of the same
thing.

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I can study brain evolution
because there's a common pattern

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to it actually, and we can test
that pattern.

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Against other taxa.
Same thing with octopuses.

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And that same theory tells you
about what is happening when it

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comes to corruption.
It's one scale of cooperation

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undermining another, and it
tells you how to build a multi a

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successful harmonious,
multicultural society.

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Because you see in the math with
what the resources do to this

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and how different groups either
fracture or come together.

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And so all of these lines of
research that seem disconnected

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only makes sense when you have
this.

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But just to be clear, I didn't
create the theory of everyone.

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I'm conveying it.
I'm conveying a vast body of

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research that spans the
disciplines in a way that I hope

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is accessible, readers.
Michael, at At 32, you were one

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of the youngest tenured
professors at LSE London School

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of Economics.
How does someone do something

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like that?
That's pretty incredible.

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Yeah.
So I think this is like a

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personality trait of mine.
Like, you know, I've, I've

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always felt like, so when I was
when I was younger, you know, I

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don't know how perfectly I want
this interview to be, but like,

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you know, when I was younger, I
I was, I was, I was interested

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in like big question, right?
Like I was always interested in

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this.
It's kind of why I wanted to

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study, you know, philosophy or
theology or physics or human

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behavior, and I was interested
in.

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I guess I would, you know, I was
like, what are the biggest

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questions, like religion, for
example, right.

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You know, I, I read the Quran.
You know, I read like, you know,

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I looked at what the claims of
Hinduism were.

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I I looked at the claims of
Christianity.

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I was like, you know, the pies.
You know, it's like this is the

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most important question.
One could, you know, you should

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investigate what's on the table.
What do the Buddhists say?

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You know, what is everybody
saying?

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I want to understand this.
And part of my obsession was

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like, we're all going to die one
day.

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You realize, like it doesn't
matter.

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Like you know, they say that the
king and the pawn, they both go

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00:15:56,920 --> 00:15:59,440
back in the same box.
So what do you want to do when

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you're on the chess board?
And so, you know, like for me,

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like, you know, one of my
colleagues, Dolan, he studies

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happiness.
He says, you know, there's

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purpose and pleasure.
And you can, you can think of

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these like some people have big
purpose, like think of a priest.

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They don't care about pleasure.
Some people have big pleasure,

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but they don't care about
purpose.

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You know, think of, like people
who jump out of airplanes every

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weekend, you know, and most of
us are somewhere pretty high on

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purpose.
But I I was like, keen to just

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like.
Push through and I try to pack

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in.
There's a section in the book

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about how my obsession with
efficiency and how to get the

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most out of you know, the 24
hours we have each day, 8 hours

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of when I dedicate to sleep.
You know, how do I, how do I

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efficiently be a good spouse
Efficiently be a good parent.

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Efficiently be a good.
You know, I run a consultancy.

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How do I efficiently like be a
good academic.

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And so I think I I'm able to
pack in more things than other

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people.
I mean, how do you efficiently

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relax is a big thing.
Obsessed with for a while, I

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think very similar that regard.
Those questions, those bigger

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questions.
That's basically what this

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podcast is all about.
Understanding the fundamental

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nature of reality.
What is reality?

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What is consciousness?
What is the mind You questions?

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00:17:06,400 --> 00:17:08,400
It was the same because I read
the Quran, I read the Bible, I

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read the Bhagavad Gita and I I
consider myself agnostic about

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the nature of reality but very
much atheist in my belief in

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God.
What What conclusions did you

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draw and where did I?
I mean, we we can go personal,

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but this will slowly go back
into the theory of everyone, I

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00:17:22,160 --> 00:17:24,720
mean.
No, no, no one ever asks me

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00:17:24,720 --> 00:17:27,200
that.
So I you don't say that I am an

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00:17:27,200 --> 00:17:31,000
agnostic theist, actually.
So yeah.

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00:17:31,000 --> 00:17:33,800
So I I I'm, I'm agnostic because
who the hell knows, right?

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00:17:33,800 --> 00:17:35,400
Like with the reality of the
world.

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00:17:35,880 --> 00:17:39,000
There are greater things in you
know, than in your philosophy's

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00:17:39,000 --> 00:17:42,320
ratio.
But you know, I would say that

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00:17:42,320 --> 00:17:45,480
like a a, a part of me like I
hold like as any good scientist

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00:17:45,480 --> 00:17:47,200
does, I hold like different
versions of the reality.

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00:17:47,200 --> 00:17:51,560
It is entirely possible that the
world is on purposed accidental

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00:17:51,640 --> 00:17:54,760
and we create our own meaning as
we, you know, however we see

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00:17:54,760 --> 00:17:56,320
fit.
But I think you can also

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00:17:56,320 --> 00:18:00,360
construct a.
You can construct a best that

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00:18:00,360 --> 00:18:02,800
you can do, I think.
Maybe this should be the next

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00:18:02,800 --> 00:18:04,440
book you know.
The best that you can do is

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00:18:04,440 --> 00:18:09,520
construct A consistent model of
reality that is consistent with

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00:18:09,520 --> 00:18:12,560
some of the claims of some of
the religions.

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00:18:13,320 --> 00:18:15,840
So religions are making
different kinds of kinds.

401
00:18:15,840 --> 00:18:18,200
So if you want, if your religion
wants to claim that Once Upon a

402
00:18:18,200 --> 00:18:22,160
time something happened where
the the great simulator in the

403
00:18:22,160 --> 00:18:24,400
sky, you know, the computer
scientists who coded the

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00:18:24,400 --> 00:18:29,480
universe or you know, humanity,
you know, or life at the later

405
00:18:29,480 --> 00:18:32,320
stage or the universe itself,
something, whatever, interferes

406
00:18:32,320 --> 00:18:35,160
with the world in specific ways
that we can't understand because

407
00:18:35,160 --> 00:18:39,040
you know, 5 senses and whatever,
that's OK actually, right?

408
00:18:39,040 --> 00:18:40,840
But if you're saying this is
happening every day.

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00:18:41,320 --> 00:18:43,880
And that, you know, I should be
able to see that, you know, then

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00:18:43,880 --> 00:18:46,280
I can check.
You know, if you make historical

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00:18:46,280 --> 00:18:49,960
claims that you know we have no
evidence for, it's like, OK,

412
00:18:49,960 --> 00:18:53,000
maybe, you know, probably not if
you're making historical claims

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00:18:53,000 --> 00:18:54,800
that we can say something about,
you know, maybe.

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00:18:55,240 --> 00:18:58,880
So I think you you can.
Whatever your belief systems

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00:18:58,880 --> 00:19:02,880
are, I think each person in the
modern world ought to, if you

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00:19:02,880 --> 00:19:05,760
want to hold a religious belief,
at least look to see if it you

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00:19:05,760 --> 00:19:07,400
can construct something that is
consistent.

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00:19:07,840 --> 00:19:10,400
And then it can, it can be a
working hypothesis and I think

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00:19:10,400 --> 00:19:13,520
we a little bit of humility that
it the realities of the world

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00:19:13,520 --> 00:19:17,360
are if this was the 19th century
or the 18th century or the 17th

421
00:19:17,360 --> 00:19:20,040
century, think about how much
more we now understand about the

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00:19:20,040 --> 00:19:23,600
nature of reality, right.
So I think, you know, I think of

423
00:19:23,600 --> 00:19:27,880
science as a a long, slow prayer
to a creator who may or may not

424
00:19:27,880 --> 00:19:33,080
exist, you know, in a desire to
understand our world in a in a

425
00:19:33,080 --> 00:19:36,760
richer way.
That may reveal or not reveal,

426
00:19:36,840 --> 00:19:38,960
you know, it's it's it's true
nature.

427
00:19:39,120 --> 00:19:41,560
If there is anything, you know,
a creator or not.

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00:19:42,360 --> 00:19:45,040
And in the meantime, you know,
we can at least think about how

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00:19:45,040 --> 00:19:48,120
our actions affect things at a
systems level.

430
00:19:48,520 --> 00:19:51,240
You know, I think you know, in
the book I talk about higher

431
00:19:51,240 --> 00:19:54,600
scales of cooperation working
together at a greater scale as

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00:19:54,600 --> 00:19:57,600
being an aspiration that is both
a secular aspiration and one

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00:19:57,600 --> 00:19:59,920
that lines up with the of the
major world religions.

434
00:20:00,320 --> 00:20:04,280
Yes, yes, it's, it's amazing how
it's almost ironic because

435
00:20:04,280 --> 00:20:06,520
you're you're talking about,
well, prior to this, you're

436
00:20:06,520 --> 00:20:09,560
talking about this ability to
take a step back and look at the

437
00:20:09,560 --> 00:20:11,040
bigger picture.
I mean, when I work as a doctor,

438
00:20:11,040 --> 00:20:13,400
I try and obviously when you,
you look at a patient, you don't

439
00:20:13,400 --> 00:20:15,040
just look at the one word.
You're trying to consider

440
00:20:15,040 --> 00:20:17,440
everything within this picture.
We often try and incorporate A

441
00:20:17,440 --> 00:20:21,040
multidisciplinary approach to
engage with this patient.

442
00:20:21,440 --> 00:20:23,920
But it's funny how as a species,
human beings, we're

443
00:20:23,920 --> 00:20:27,840
simultaneously good at doing
this, and yet we're still so bad

444
00:20:27,840 --> 00:20:29,280
at this.
Why is this?

445
00:20:30,000 --> 00:20:32,160
Why is this a thing?
Yeah.

446
00:20:32,560 --> 00:20:36,600
So I mean you know we we the the
story of our, so the you know

447
00:20:36,600 --> 00:20:40,400
the story of our species is that
a lot of what's going on in to

448
00:20:40,400 --> 00:20:42,680
understand humans is in our
software not in our hardware.

449
00:20:42,680 --> 00:20:44,200
So it's true, we have very large
brains.

450
00:20:44,480 --> 00:20:46,960
But those brains got very large
because they had to manage a

451
00:20:47,000 --> 00:20:50,400
growing amount of information
that was evolving alongside us,

452
00:20:50,400 --> 00:20:52,560
right?
So to give you a quick example

453
00:20:52,560 --> 00:20:55,280
of this, you know we require
cooked food in order to survive,

454
00:20:55,280 --> 00:20:57,200
but we need cooking to pre
digest foods.

455
00:20:57,440 --> 00:20:59,960
We have our jaws have been too
short, our guts have become too

456
00:20:59,960 --> 00:21:01,880
short, sorry our jaws have
become too weak and our guts

457
00:21:01,880 --> 00:21:04,400
have become too short to to deal
with anything other than cooked

458
00:21:04,400 --> 00:21:06,080
food.
If you're a raw foodist, you got

459
00:21:06,080 --> 00:21:08,160
to eat copious amounts and take
lots of supplements.

460
00:21:08,160 --> 00:21:09,280
It's not you can't survive,
really.

461
00:21:10,680 --> 00:21:14,960
But we don't have genes for for
cooking or even for fire, right.

462
00:21:15,280 --> 00:21:18,520
So that means we have to we we
are expecting an environment

463
00:21:18,520 --> 00:21:22,360
which has culturally transmitted
information beyond our ability

464
00:21:22,360 --> 00:21:25,920
to recreate many societies to
lose fire and can hold the coal,

465
00:21:25,920 --> 00:21:29,400
the sacred coal you know and and
build fires from that because

466
00:21:29,400 --> 00:21:31,560
it's hard to make lighting a
fire and that's just fire,

467
00:21:31,840 --> 00:21:33,640
right.
We do so much that is that is in

468
00:21:33,640 --> 00:21:35,400
our software.
So in the same way if you want

469
00:21:35,400 --> 00:21:38,440
to understand like.
Pivot table cell or you want to

470
00:21:38,440 --> 00:21:41,120
understand you know the way that
prompt the prompts affect

471
00:21:41,120 --> 00:21:44,400
ChatGPT you don't look in the
CPU or the GPU.

472
00:21:44,560 --> 00:21:49,000
You look at the software like
most what we do like so numeracy

473
00:21:49,080 --> 00:21:53,560
like societies count 123 many.
Our ancestors count of 123 many.

474
00:21:53,960 --> 00:21:57,280
Eventually you use fingers or
body parts or stones and you get

475
00:21:57,280 --> 00:21:59,800
a model and you can represent
numbers natural numbers.

476
00:21:59,800 --> 00:22:02,760
But zero you know as you know it
took centuries to create, right?

477
00:22:02,760 --> 00:22:05,040
It emerges in India and ten.
I mean, can't you?

478
00:22:05,600 --> 00:22:07,760
Or geeky unnecessary.
I mean, there's no point. 10 is

479
00:22:07,760 --> 00:22:09,120
a weird number.
I hate it.

480
00:22:09,120 --> 00:22:11,200
I wish we had, you know, 8
fingers and we had 16.

481
00:22:11,200 --> 00:22:14,000
I could map it back to binary,
you know, and went on a number

482
00:22:14,000 --> 00:22:15,920
line in the 17th and 18th
century.

483
00:22:15,920 --> 00:22:17,560
Then negative numbers became
obvious.

484
00:22:17,560 --> 00:22:19,840
You know, I have this quote from
Francis Meseres where he's like,

485
00:22:19,840 --> 00:22:22,880
you know, negative numbers, dark
in the very fabric of reality.

486
00:22:22,880 --> 00:22:26,440
He's like really upset with
them, you know, so, so anyway,

487
00:22:26,440 --> 00:22:28,200
so the the, the knowledge begins
to grow.

488
00:22:28,200 --> 00:22:29,760
And we keep up with it in lots
of ways.

489
00:22:29,760 --> 00:22:31,800
We grow our brains to the point
where they're difficult to

490
00:22:31,800 --> 00:22:34,400
birth.
Like you, you might think that

491
00:22:34,400 --> 00:22:37,000
birthing is natural.
It's, it's very difficult for

492
00:22:37,000 --> 00:22:40,240
human mothers, right?
Like, it's painful.

493
00:22:40,240 --> 00:22:42,120
So it's like the curse of Eve.
You know, you ate from the tree

494
00:22:42,120 --> 00:22:43,440
of knowledge.
Now you got a big brain.

495
00:22:43,600 --> 00:22:46,240
It's dangerous for the mother.
It's dangerous for the child.

496
00:22:46,440 --> 00:22:48,760
And even today, if you look at
the medical literature, right,

497
00:22:48,760 --> 00:22:53,160
you know, I think this paper in
2015, what is predictive of

498
00:22:53,160 --> 00:22:55,800
emergency cesareans and
instrumental births is head

499
00:22:55,800 --> 00:22:58,680
size, not body size, head size.
You know, once you hit the 85th

500
00:22:58,680 --> 00:23:00,200
percentile just kind of hockey
sticks up.

501
00:23:01,080 --> 00:23:02,440
You still have, you still have a
selection.

502
00:23:02,640 --> 00:23:04,000
You know you still have
selection on that.

503
00:23:04,000 --> 00:23:05,360
You had enough variation to see
that.

504
00:23:05,360 --> 00:23:06,880
Right.
So we didn't just do that what

505
00:23:06,880 --> 00:23:10,080
did we do we we extended our
ability to learn.

506
00:23:10,120 --> 00:23:12,760
So we, you know we all we we
were nicer to others.

507
00:23:12,960 --> 00:23:16,240
We you know lost the sclera you
know so that we could see gaze

508
00:23:16,240 --> 00:23:18,040
following.
We we we created what was called

509
00:23:18,040 --> 00:23:20,720
theory of mind, the ability to
represent other minds in our own

510
00:23:20,720 --> 00:23:21,560
mind.
Right.

511
00:23:21,760 --> 00:23:24,200
So you know you you probably you
could you could think about what

512
00:23:24,200 --> 00:23:27,560
your your spouse or your mother
or your father or you know or

513
00:23:27,560 --> 00:23:29,360
your sister or brother like you
can imagine them in your head

514
00:23:29,360 --> 00:23:30,440
and you know what they're going
to say.

515
00:23:30,520 --> 00:23:34,120
You're simulating their minds.
You have that you know then we

516
00:23:34,280 --> 00:23:37,640
we we also extended our life
sorry we extended our juvenile

517
00:23:37,640 --> 00:23:40,440
period.
So we have very long childhoods

518
00:23:40,760 --> 00:23:42,960
and we also have what we call I
call the cultural adolescence.

519
00:23:42,960 --> 00:23:47,200
So when you the moment when you
can reproduce to when you

520
00:23:47,200 --> 00:23:49,920
actually do has been getting
longer and longer.

521
00:23:49,920 --> 00:23:51,560
Do you have kids, Evan?
No.

522
00:23:51,560 --> 00:23:54,240
No, not yet.
No, but now think about when you

523
00:23:54,240 --> 00:23:54,920
could have it.
She does.

524
00:23:55,000 --> 00:23:56,800
She doesn't want kids.
But it's.

525
00:23:57,240 --> 00:23:59,120
I don't know if I'm ready yet.
OK.

526
00:23:59,680 --> 00:24:01,400
So that, you know, this is, this
is interesting, right.

527
00:24:01,400 --> 00:24:03,840
So like now think about when you
could have had kids.

528
00:24:04,080 --> 00:24:06,280
Yeah, right.
Like it was a long time ago, you

529
00:24:06,360 --> 00:24:08,800
know, like when you could have
had kids like physically, right,

530
00:24:08,800 --> 00:24:11,640
versus like so that that is
growing and growing.

531
00:24:11,680 --> 00:24:13,240
Why?
Because you're right.

532
00:24:13,240 --> 00:24:16,800
It requires more time to gather
that knowledge, build up your

533
00:24:16,800 --> 00:24:20,040
career as what we call it to get
that house or whatever to do all

534
00:24:20,040 --> 00:24:22,400
those things.
So that you can do that and it's

535
00:24:22,400 --> 00:24:24,200
growing to the point where now
there's a new selection

536
00:24:24,200 --> 00:24:25,760
pressure, not the ability to
give birth.

537
00:24:26,320 --> 00:24:28,120
We've relaxed that selection
pressure actually thanks to

538
00:24:28,120 --> 00:24:30,720
cesarean, but the ability to
give birth at a later age.

539
00:24:31,680 --> 00:24:34,400
Now the other thing, the biggest
thing that we do is we divide it

540
00:24:34,400 --> 00:24:35,760
up the knowledge.
Right.

541
00:24:36,040 --> 00:24:39,840
We divided up the knowledge so
that, you know, I became a

542
00:24:39,840 --> 00:24:41,600
specialist.
So if you're a hunter gatherer,

543
00:24:41,600 --> 00:24:43,680
actually you do have some amount
of specialization.

544
00:24:43,960 --> 00:24:45,280
Mostly you know how to do
everything.

545
00:24:45,280 --> 00:24:47,040
You're just better at some
things than others, right?

546
00:24:47,320 --> 00:24:49,360
There's imagine you have a 10
sized brain and there's 10

547
00:24:49,360 --> 00:24:51,480
things to do.
You can reach skill unit 1.

548
00:24:51,480 --> 00:24:53,760
You know, maybe you're like half
skill unit here and one here,

549
00:24:53,760 --> 00:24:56,200
but you're mostly the same.
But if your population is

550
00:24:56,200 --> 00:24:59,920
bigger, right, and there's more
stuff actually to learn, then

551
00:25:00,240 --> 00:25:02,520
you can you can specialize on
half the things.

552
00:25:02,840 --> 00:25:04,920
You can use that 10 sized brain
to get to skill unit 2.

553
00:25:04,920 --> 00:25:07,400
And as a society we are all
reach skill unit 2.

554
00:25:08,040 --> 00:25:10,360
You know if you divided it into
10 and you just have to do one

555
00:25:10,360 --> 00:25:12,080
of the things you can reach
skill unit 10.

556
00:25:12,480 --> 00:25:15,160
And if you the more you divide
the the the higher that we can

557
00:25:15,160 --> 00:25:16,880
go.
But it means that we get super

558
00:25:16,880 --> 00:25:18,840
smart at one thing and stupid at
everything else.

559
00:25:19,360 --> 00:25:21,800
We don't realize the degree of
our ignorance, what's called the

560
00:25:21,800 --> 00:25:24,040
illusion of explanatory depth.
And you can see this even, you

561
00:25:24,040 --> 00:25:27,200
know, even today, right?
If you are a if you're a a

562
00:25:27,200 --> 00:25:29,040
physician.
And you're working in a small

563
00:25:29,040 --> 00:25:30,080
town.
You have to do a lot of

564
00:25:30,080 --> 00:25:32,240
different medicine, actually,
because you're the one point of

565
00:25:32,240 --> 00:25:33,960
call.
If you are a physician in New

566
00:25:33,960 --> 00:25:37,560
York or any big city, London,
you can specialize on this tiny

567
00:25:37,560 --> 00:25:40,520
part of renal system that you're
just that good at, you know,

568
00:25:40,520 --> 00:25:43,360
operating on or whatever, right.
You can specialize and then, you

569
00:25:43,360 --> 00:25:45,840
know, nobody asks you, hey,
doctor, I got this boil on my

570
00:25:45,840 --> 00:25:47,120
chest.
It's like I don't even remember

571
00:25:47,120 --> 00:25:50,040
how anyone deals with that.
You know, like it's not your,

572
00:25:50,040 --> 00:25:51,560
your specialty anymore.
So that's what's happening,

573
00:25:51,560 --> 00:25:54,480
what's what's going on here.
And that's why as a collective,

574
00:25:54,480 --> 00:25:57,480
what I call the collective work,
yeah, it's I I think it's pretty

575
00:25:57,480 --> 00:26:00,880
fascinating because when you
look at, you're absolutely right

576
00:26:00,880 --> 00:26:02,600
about it.
My, my, my girlfriend, she's an

577
00:26:02,600 --> 00:26:06,600
anesthesiology, A registrar, so
they call it a resident in in in

578
00:26:06,920 --> 00:26:10,800
the States or or overseas.
But when she talks about

579
00:26:10,800 --> 00:26:13,400
medicine, it's so different from
the way I talk about it as a

580
00:26:13,400 --> 00:26:16,160
General practitioner who works
in mental health and general

581
00:26:16,160 --> 00:26:18,600
practice.
And you can tell how quickly

582
00:26:18,600 --> 00:26:22,120
she's forgetting a lot of the
basics and how I am of all the

583
00:26:22,120 --> 00:26:26,520
specific aspects of her work, so
that that specialization is very

584
00:26:26,520 --> 00:26:28,920
core to to almost sharing
knowledge.

585
00:26:28,920 --> 00:26:30,920
But I find this whole idea very
fascinating.

586
00:26:30,920 --> 00:26:33,360
So it's it's basically like
we're splitting up all these

587
00:26:33,360 --> 00:26:36,960
bits of information in reality
and sort of condensing it into

588
00:26:36,960 --> 00:26:40,200
another layer of reality.
It's 'cause it's not written

589
00:26:40,200 --> 00:26:42,080
technique.
This is not it's it's almost

590
00:26:42,080 --> 00:26:45,160
verbal, it's commutative, It's
kind of layered out there.

591
00:26:45,160 --> 00:26:47,760
How do we kind of where can we
store this?

592
00:26:47,760 --> 00:26:50,160
Or do you think the Internet is
the next place for us to kind of

593
00:26:50,160 --> 00:26:52,840
put all of this down and
document it for the future?

594
00:26:53,360 --> 00:26:54,800
Yeah.
No, I mean, I think writing was

595
00:26:54,800 --> 00:26:57,720
a major shift because, you know,
but even if you have writing,

596
00:26:57,720 --> 00:26:59,760
there's a lot of what we call
tacit knowledge.

597
00:26:59,760 --> 00:27:01,240
You know, things that are
unwritten.

598
00:27:01,320 --> 00:27:02,280
Like you wouldn't think to
write.

599
00:27:02,280 --> 00:27:05,920
It's hard to, you know, maybe if
we're now with recording things,

600
00:27:05,920 --> 00:27:07,480
you know, you can get a higher
fidelity.

601
00:27:07,640 --> 00:27:09,640
But writing is imperfect, right?
It's hard.

602
00:27:09,640 --> 00:27:13,000
Like if if you, you can read the
textbook, you can look at my

603
00:27:13,000 --> 00:27:14,640
reading list, you know, for my
course.

604
00:27:15,480 --> 00:27:17,840
But if you listen to me talk,
explain it, you're going to get

605
00:27:17,840 --> 00:27:20,480
much more out of that, right.
So where we really store the

606
00:27:20,480 --> 00:27:22,160
knowledge is in each other's
heads.

607
00:27:22,840 --> 00:27:25,480
Like you know we store the
knowledge split across many

608
00:27:25,480 --> 00:27:29,080
heads and together we're able to
solve problems, right.

609
00:27:29,560 --> 00:27:35,160
Like you know and and so a lot
of the, the richest new stuff

610
00:27:35,560 --> 00:27:38,040
comes from a process of what I
call intellectual arbitrage.

611
00:27:38,400 --> 00:27:41,000
You know, you take you, you take
something from one place that

612
00:27:41,000 --> 00:27:43,480
works really well and you bring
it to your own discipline and

613
00:27:43,480 --> 00:27:46,600
you work out how to do it like.
The same print like

614
00:27:46,720 --> 00:27:48,920
interdisciplinary teams.
So I run the database of

615
00:27:48,920 --> 00:27:51,240
religious history.
You know I Co direct this with

616
00:27:51,240 --> 00:27:56,240
Ted Slingerland and and Willis
Monroe and I would say it's one

617
00:27:56,240 --> 00:27:58,720
of the most successful humanity
science collaborations on the

618
00:27:58,720 --> 00:28:01,080
planet.
But it's incredibly difficult

619
00:28:01,080 --> 00:28:03,520
for us to get there right The
the historians were super

620
00:28:03,520 --> 00:28:05,440
skeptical of anything scientists
want to do.

621
00:28:05,440 --> 00:28:06,960
We weren't speaking the same
language.

622
00:28:07,200 --> 00:28:09,480
You know, they felt we had this
progressive narrative and we

623
00:28:09,480 --> 00:28:12,120
said that's only because you
know, you you have assumptions

624
00:28:12,120 --> 00:28:14,520
about progress that we're not
imposing on your nose, like all

625
00:28:14,520 --> 00:28:17,640
this kind of conflict.
That's just disciplines, right?

626
00:28:17,840 --> 00:28:21,400
You can imagine within medicine
the kind of interdisciplinary,

627
00:28:21,400 --> 00:28:24,360
you know, like, you know
different different disciplines

628
00:28:24,360 --> 00:28:26,120
talking, you know, and and when
you're in theatre, of course you

629
00:28:26,120 --> 00:28:28,400
have to, you're used to working
in those teams.

630
00:28:28,400 --> 00:28:30,080
But it takes a bit of time to
get that.

631
00:28:30,680 --> 00:28:34,080
This is also true in the world.
So culturally, you know, in my

632
00:28:34,080 --> 00:28:36,480
earlier story, when most animals
encounter in your environment,

633
00:28:36,480 --> 00:28:39,920
they genetically adapt.
We culturally adapted, which

634
00:28:39,920 --> 00:28:43,040
means that in places around the
world people are running

635
00:28:43,040 --> 00:28:46,680
different cultural software.
And just like with disciplines,

636
00:28:46,680 --> 00:28:48,000
it's hard to communicate
sometimes.

637
00:28:48,000 --> 00:28:51,920
That's what we're seeing today
because today, after the age of

638
00:28:51,920 --> 00:28:54,680
mass migration in the, you know,
say 17th century, it is

639
00:28:54,680 --> 00:28:58,120
accelerated.
We now live side by side with

640
00:28:58,120 --> 00:28:59,960
people from very different
places in the world.

641
00:29:00,480 --> 00:29:02,640
And we have to navigate new ways
of working together.

642
00:29:02,800 --> 00:29:06,240
And we, we, we are now tackling
problems across our planet, the

643
00:29:06,240 --> 00:29:09,280
required coordination with
cultures and societies.

644
00:29:09,280 --> 00:29:11,280
The Russians, the Chinese, you
know.

645
00:29:12,520 --> 00:29:14,760
The Canadians whatever all of
these different societies that

646
00:29:14,760 --> 00:29:17,280
think in very different ways and
have very different cultures.

647
00:29:17,720 --> 00:29:20,480
So in my work, you know Hong
Kong for example, right, is

648
00:29:20,480 --> 00:29:23,400
culturally we can measure this
is culturally halfway between

649
00:29:23,400 --> 00:29:26,320
Britain and China.
So unsurprising.

650
00:29:26,320 --> 00:29:28,000
Why there's a little bit of
conflict.

651
00:29:28,480 --> 00:29:31,280
There's there will there might
be less conflict actually maybe

652
00:29:31,280 --> 00:29:32,640
now because the Taiwan's
influence.

653
00:29:32,640 --> 00:29:35,160
But if if China had taken Taiwan
earlier, there might have been

654
00:29:35,160 --> 00:29:37,680
less conflict than what you know
than than what happens with Hong

655
00:29:37,680 --> 00:29:39,720
Kong, actually.
Culturally, I mean, there's

656
00:29:39,720 --> 00:29:43,600
other reasons for there to be
conflict politically, but

657
00:29:43,880 --> 00:29:46,720
there's lots of other, you know,
examples of this, right, of

658
00:29:47,040 --> 00:29:50,000
literally like very different
assumptions of what is viewing

659
00:29:50,000 --> 00:29:51,320
the world.
You know, one of my favorite

660
00:29:51,320 --> 00:29:55,520
examples from the book is
Americans smile a lot, right?

661
00:29:55,800 --> 00:29:57,560
Like they smile a lot.
And I would say they're one of

662
00:29:57,560 --> 00:30:01,680
the few cultures in the world.
That explicitly, like, they're

663
00:30:01,680 --> 00:30:03,960
obsessed with emotion, right.
Like, you see it in the TV

664
00:30:03,960 --> 00:30:05,360
shows.
You see it in the, you know,

665
00:30:05,360 --> 00:30:08,160
it's like how you feeling, how
you know you can't talk about

666
00:30:08,160 --> 00:30:10,320
your feelings.
You know, like, how did you make

667
00:30:10,320 --> 00:30:12,360
that other person feel Like
emotions are a big thing.

668
00:30:12,360 --> 00:30:14,040
Right.
And and I would say that one of

669
00:30:14,040 --> 00:30:15,800
the few cultures of the way, you
know, a few students have said

670
00:30:15,800 --> 00:30:18,520
this to me, they're like one of
the few cultures that label

671
00:30:18,520 --> 00:30:19,920
what's happening.
You know, somebody will say

672
00:30:19,920 --> 00:30:22,640
that's funny like the rest of
the world just laughs.

673
00:30:22,840 --> 00:30:24,320
But America's like, that's
funny.

674
00:30:24,560 --> 00:30:27,000
That made me sad, you know.
Oh, that's, you know, like

675
00:30:27,000 --> 00:30:29,320
there's a labeling this guy.
It's super explicit.

676
00:30:29,600 --> 00:30:32,000
Right.
And that is a feature of

677
00:30:32,000 --> 00:30:34,880
societies that have had a long
run history of migration.

678
00:30:35,520 --> 00:30:37,640
Because if you don't speak the
same language and you're not

679
00:30:37,640 --> 00:30:40,400
culturally similar to other
people, you have no choice but

680
00:30:40,400 --> 00:30:42,280
to find the common commutative
cues.

681
00:30:42,400 --> 00:30:45,080
Emotion is one thing that we do
know is human universal.

682
00:30:45,520 --> 00:30:48,120
But if your neighbours from you
know, from Greece and and and

683
00:30:48,120 --> 00:30:50,360
you're from, I don't know,
Armenia, and actually let's pick

684
00:30:50,360 --> 00:30:52,680
another place, you know, like
you get from Greece and you're

685
00:30:52,680 --> 00:30:57,160
from Nigeria, you know, in order
to communicate you have to like

686
00:30:57,200 --> 00:31:00,080
if if I'm sad, you need to know.
If I'm happy, you need to know

687
00:31:00,400 --> 00:31:01,680
now.
If you're if you're Japan, you

688
00:31:01,680 --> 00:31:04,040
don't need that.
Like you know from the context

689
00:31:04,120 --> 00:31:06,360
you can guess at what another
Japanese person might feel same

690
00:31:06,360 --> 00:31:09,160
with China or you can kind of
guess at what another Chinese

691
00:31:09,160 --> 00:31:10,760
person might feel from the
context alone.

692
00:31:10,760 --> 00:31:13,080
You don't need that.
You know Russia is another

693
00:31:13,080 --> 00:31:16,600
example of this, right?
Like Russia has smile training

694
00:31:16,600 --> 00:31:17,760
whenever they have like,
because.

695
00:31:17,760 --> 00:31:20,800
Because you know when when
McDonald's came to Russia, you

696
00:31:20,800 --> 00:31:22,080
know, after the fall of the
Soviet Union.

697
00:31:22,960 --> 00:31:25,520
They, they had to, like, get the
McDonald's workers.

698
00:31:25,520 --> 00:31:27,760
McDonald's was so keen.
They're like, you have to give

699
00:31:27,760 --> 00:31:30,560
them the welcome McDonald's
smile because they're American,

700
00:31:30,560 --> 00:31:32,760
right.
And And the workers were like,

701
00:31:32,800 --> 00:31:36,960
no, in Russia, only crazy people
smile when there's no joke, you

702
00:31:36,960 --> 00:31:39,280
know, it's like Russian joke,
you know, it's like and they're

703
00:31:39,280 --> 00:31:40,320
like, no, no, no, you have to
smile.

704
00:31:40,320 --> 00:31:42,880
And so they had to train the
customers and the employees and

705
00:31:42,880 --> 00:31:46,880
be like, OK, this context, this
context, you know, this is what

706
00:31:46,880 --> 00:31:48,600
happens.
And they're like, OK, we'll try.

707
00:31:48,600 --> 00:31:50,320
It's awkward.
We'll try, you know.

708
00:31:50,960 --> 00:31:52,800
And then you know, of course in
the recently you Google like the

709
00:31:52,800 --> 00:31:55,360
stories, like they run it again.
It's like just smile because

710
00:31:55,640 --> 00:31:57,920
other parts of the world with
long on histories of migration,

711
00:31:58,200 --> 00:32:00,440
they feel like you know it's
important that you have to

712
00:32:00,440 --> 00:32:02,040
express your emotions.
Yeah.

713
00:32:02,120 --> 00:32:05,800
Anyway, even South Africa, I
mean you it's it's because of

714
00:32:05,800 --> 00:32:08,360
the cultural diversity.
We often see that because it's

715
00:32:08,400 --> 00:32:10,680
it's very clear when there's
someone from the United States

716
00:32:10,680 --> 00:32:14,200
in an aeroplane or if we're
flying right you you can tell

717
00:32:14,200 --> 00:32:15,600
the difference.
It's so palpable.

718
00:32:15,760 --> 00:32:18,200
I mean when when we started this
conversation, you obviously grew

719
00:32:18,200 --> 00:32:20,400
up you there was a point where
you you were in Botswana.

720
00:32:20,720 --> 00:32:22,200
I mean, you can tell I'm from
South Africa.

721
00:32:22,200 --> 00:32:24,600
There's so much about you.
Yeah, yeah.

722
00:32:24,600 --> 00:32:26,280
Yeah, absolutely, absolutely,
absolutely.

723
00:32:26,400 --> 00:32:28,360
It's very easy to tell where
someone's from.

724
00:32:29,040 --> 00:32:31,080
Something I'm very fascinated
by, which I think you can give a

725
00:32:31,080 --> 00:32:35,760
good answer to, is which animal
species other than humans do you

726
00:32:35,760 --> 00:32:39,680
feel have done this sort of
successfully in a different way,

727
00:32:40,680 --> 00:32:43,480
and why?
And how is this working in other

728
00:32:43,480 --> 00:32:45,040
species?
Yeah, so we do, we do see

729
00:32:45,040 --> 00:32:47,200
culture in other species, you
know, not not like.

730
00:32:47,480 --> 00:32:49,880
So what we have is what we call
cumulative culture where it is

731
00:32:49,880 --> 00:32:52,840
accumulated to the point where
not even the smartest among us

732
00:32:52,840 --> 00:32:55,480
today, today could recreate the
world we live in, not even

733
00:32:55,480 --> 00:32:58,440
smartest, right.
And it's just well beyond that.

734
00:32:58,440 --> 00:32:59,800
But other animals do have
culture.

735
00:32:59,800 --> 00:33:01,760
So there's lots of examples of
this.

736
00:33:02,760 --> 00:33:06,000
And and by the way, these other,
you know, true to the theory,

737
00:33:06,160 --> 00:33:09,280
these other species also have
other features we expect to be

738
00:33:09,280 --> 00:33:12,160
there when culture's there, like
grandmothers or older females.

739
00:33:12,640 --> 00:33:14,520
But grandmothers are unusual
from an evolutionary

740
00:33:14,520 --> 00:33:15,840
perspective.
Usually, after you've given

741
00:33:15,840 --> 00:33:18,320
birth, don't hang around.
You're wasting resources.

742
00:33:18,600 --> 00:33:20,800
The grandmothers are important.
They're the professors of the

743
00:33:20,800 --> 00:33:23,360
past, you know, grandfathers do,
but they're the professors of

744
00:33:23,360 --> 00:33:24,760
the past.
They're like the Wikipedias of

745
00:33:24,760 --> 00:33:26,440
their time.
They're the scores of knowledge

746
00:33:26,600 --> 00:33:29,920
far more than a young parent you
know possibly has, right?

747
00:33:30,720 --> 00:33:35,760
And so a if you could Orca for
example.

748
00:33:36,400 --> 00:33:39,040
Orca, like sort of killer
whales, misnamed because they're

749
00:33:39,040 --> 00:33:44,640
actually dolphins, you know, you
know, they they have, they have

750
00:33:44,920 --> 00:33:46,880
different languages, like ethnic
languages.

751
00:33:47,040 --> 00:33:51,080
They have ethnic foods.
So some orca will only eat seal.

752
00:33:51,400 --> 00:33:53,640
And when they see salmon,
they're like, that's disgusting,

753
00:33:53,640 --> 00:33:57,200
you know, you know, And others
are like Salmon's seal, you

754
00:33:58,120 --> 00:34:00,200
know, and so, you know, like,
and when they're in captivity,

755
00:34:00,360 --> 00:34:02,680
it's like they might be starved
and you're like just eat the

756
00:34:02,680 --> 00:34:03,840
salmon.
They're like, but it's

757
00:34:03,880 --> 00:34:04,560
disgusting.
Yeah.

758
00:34:05,560 --> 00:34:06,880
And then they might, finally.
Come around.

759
00:34:06,880 --> 00:34:08,760
But they have ethnic foods and
they have you know they and they

760
00:34:08,760 --> 00:34:11,320
have cultural transmission.
They teach other how to you know

761
00:34:11,320 --> 00:34:14,040
beach themselves and come off.
And the present grandmothers

762
00:34:14,040 --> 00:34:16,480
allows their sons and you know
and other members of the group

763
00:34:16,480 --> 00:34:19,040
to survive better than than than
lack of presence.

764
00:34:19,040 --> 00:34:21,320
Elephants too, right.
They have some cultural

765
00:34:21,320 --> 00:34:23,480
transmission.
They have kind of, you know,

766
00:34:23,840 --> 00:34:26,840
famously they have like led by
by a female.

767
00:34:28,440 --> 00:34:30,639
You know, obviously cultural
transmission where they have

768
00:34:30,639 --> 00:34:33,239
like the sponge, you know they
use leaves for sponges or

769
00:34:33,239 --> 00:34:36,360
termite sticks or you know,
cracking nuts with a rock or

770
00:34:36,360 --> 00:34:38,120
with a with a log.
You know, there's different

771
00:34:38,120 --> 00:34:39,480
different traditions if you
like.

772
00:34:41,239 --> 00:34:44,040
But again, you know, in all of
these species you find these

773
00:34:44,040 --> 00:34:46,639
kind of common elements.
You know this like long you

774
00:34:46,639 --> 00:34:50,960
know, the the juvenile period,
the the presence of older

775
00:34:50,960 --> 00:34:54,679
females, the, you know, the
reliance and social information

776
00:34:54,679 --> 00:34:56,560
and so on.
But they're not certainly not at

777
00:34:56,560 --> 00:34:58,760
the level we are and they have
other challenges.

778
00:34:58,760 --> 00:35:02,640
So I I suspect for humans, one
big shift that I described in

779
00:35:02,640 --> 00:35:06,680
the book was bipedalism, opening
up a channel for communication

780
00:35:07,120 --> 00:35:09,360
and the fact that we are
terrestrial, so we're on the

781
00:35:09,360 --> 00:35:11,520
land, which means we can light a
fire, hard to light a fire

782
00:35:11,520 --> 00:35:15,480
underwater, you know, so.
So I think we have an advantage

783
00:35:15,480 --> 00:35:17,960
in that sense.
And and why bipedalism because

784
00:35:17,960 --> 00:35:22,120
when you when you stand up, you
free your hands which do a

785
00:35:22,120 --> 00:35:25,600
couple of things.
So one is that you can, you know

786
00:35:25,600 --> 00:35:27,720
you can, you can carry tools
around with you so you can

787
00:35:27,720 --> 00:35:30,280
afford to spend more time
napping that stone because you

788
00:35:30,280 --> 00:35:31,440
know you can carry it to the
next place.

789
00:35:31,440 --> 00:35:35,200
Whereas if you're a quadrupedal
chimp or a gorilla or an

790
00:35:35,200 --> 00:35:37,080
orangutan like, it's hard to
carry that rock.

791
00:35:37,080 --> 00:35:39,120
So you know you don't want to
carry this big ass rock around,

792
00:35:39,120 --> 00:35:40,360
right.
And so.

793
00:35:41,280 --> 00:35:42,520
It does that.
The second thing that it does is

794
00:35:42,520 --> 00:35:44,240
it creates another channel for
communication.

795
00:35:44,240 --> 00:35:46,280
It's not just Italians.
I'm doing it right now, you

796
00:35:46,280 --> 00:35:48,520
know, talking with my hands, you
know.

797
00:35:48,520 --> 00:35:50,880
And so even though I'm on a
podcast and maybe some of the

798
00:35:50,880 --> 00:35:52,920
listeners are, you know, just
listening to this, they're not.

799
00:35:52,920 --> 00:35:55,320
They can't see me.
I'm still doing it just just so

800
00:35:55,360 --> 00:35:56,920
you know, I'm using my hands,
right.

801
00:35:57,640 --> 00:35:59,760
And So what that does is means
that I can supplement my

802
00:35:59,760 --> 00:36:03,040
guttural utterances with hand
gestures, right?

803
00:36:03,520 --> 00:36:05,840
Which opens up a new channel and
then you can get what's called a

804
00:36:05,840 --> 00:36:09,440
baldwinian evolutionary process.
So this is, this means that when

805
00:36:09,440 --> 00:36:13,280
you learn something that has
adaptive value, then genes that

806
00:36:13,280 --> 00:36:15,080
help you learn it better can be
selected.

807
00:36:15,600 --> 00:36:17,760
So if, for example,
communicating was important

808
00:36:17,760 --> 00:36:19,280
because you have a lot to
communicate, how to light the

809
00:36:19,280 --> 00:36:22,000
fire, how to nap the the stone,
then genes that help you do

810
00:36:22,000 --> 00:36:23,080
that.
And so we had a lot of genetic

811
00:36:23,080 --> 00:36:24,720
changes that enabled language
for us.

812
00:36:24,720 --> 00:36:27,440
So some people think like
language is the explanation for

813
00:36:27,440 --> 00:36:29,280
humans.
It doesn't make any sense

814
00:36:29,280 --> 00:36:31,840
because language is itself a
coordination problem.

815
00:36:32,400 --> 00:36:35,200
Like, think about it.
If I was the only language in a

816
00:36:35,200 --> 00:36:38,040
species that had no language,
they'd be like, what's the weird

817
00:36:38,040 --> 00:36:39,960
sounds coming out of Michael?
They wouldn't understand.

818
00:36:40,320 --> 00:36:42,160
You have to bootstrap it.
You have to get something

819
00:36:42,160 --> 00:36:45,680
started, right?
And so you know when, when you

820
00:36:45,680 --> 00:36:47,480
have, when you freeze your
hands, you can you can do this.

821
00:36:47,480 --> 00:36:48,840
And so then you get all these
changes happened.

822
00:36:48,840 --> 00:36:51,040
Some of those changes, by the
way, made us more susceptible to

823
00:36:51,040 --> 00:36:53,760
choking.
I'm very proud of this line.

824
00:36:53,760 --> 00:36:57,040
So I'm going to say very slowly
we were dying to speak to one

825
00:36:57,040 --> 00:37:00,040
another.
You know, like, literally, like

826
00:37:00,040 --> 00:37:01,600
changes that made us more
susceptible.

827
00:37:01,840 --> 00:37:05,600
Death were selected because it
had this huge adaptive value.

828
00:37:06,320 --> 00:37:08,520
And so that opens a massive
channel for communication and

829
00:37:08,520 --> 00:37:11,000
allows you to have a bigger
cultural corpus, find that with

830
00:37:11,000 --> 00:37:13,240
the big brain size, you know, to
the point where you just can't

831
00:37:13,240 --> 00:37:15,920
birth it anymore.
And yeah, all kinds of

832
00:37:15,920 --> 00:37:18,440
possibilities.
I mean that's it's always

833
00:37:18,440 --> 00:37:22,120
fascinating to me how evolution
sort of did these made some of

834
00:37:22,120 --> 00:37:24,320
these decisions.
Well, I don't like saying made

835
00:37:24,320 --> 00:37:27,000
some of these decisions, but
some certain things happened

836
00:37:27,000 --> 00:37:31,160
over time that clearly would are
cont intuitive and almost don't

837
00:37:31,160 --> 00:37:33,680
really make sense.
And it's kind of amazing how

838
00:37:33,960 --> 00:37:37,520
took these risks in order to to
have this long term gain.

839
00:37:39,080 --> 00:37:42,720
You see that as fundamental to
what makes us us at this point,

840
00:37:43,200 --> 00:37:43,920
some of those.
Risks.

841
00:37:43,920 --> 00:37:45,440
Yeah.
You know, absolutely.

842
00:37:45,600 --> 00:37:49,240
And you know I think, I think
this these are, these are some

843
00:37:49,240 --> 00:37:51,320
of the strongest bits of
evidence right.

844
00:37:51,320 --> 00:37:54,760
For for for this theory of
everyone like for example the

845
00:37:54,760 --> 00:37:57,600
the fire for example, right.
If you're going to give a

846
00:37:57,600 --> 00:38:00,360
species.
Make a species unable to survive

847
00:38:00,360 --> 00:38:02,800
without cultural information,
literally, 'cause you can't eat

848
00:38:02,800 --> 00:38:05,600
things, you don't have the
proteins to process the poisons,

849
00:38:05,880 --> 00:38:08,760
right?
Then, then that's a big that's a

850
00:38:08,760 --> 00:38:10,840
pretty big risk.
And it reveals the importance of

851
00:38:10,840 --> 00:38:13,040
that.
Like, if I were to drop, you

852
00:38:13,040 --> 00:38:16,960
know, my my collaborator and and
former advisor Joe Henrik, you

853
00:38:16,960 --> 00:38:18,720
know, he has this nice thought
experiment, he says.

854
00:38:18,720 --> 00:38:22,160
If I were to drop, you know, a
bunch of students into like the

855
00:38:22,160 --> 00:38:24,600
SMART, the Harvard students, you
know, the LSE students, the

856
00:38:24,600 --> 00:38:26,920
Oxford, Cambridge, whatever, you
drop these students into the

857
00:38:26,920 --> 00:38:30,120
forest.
You know, maybe in like two or

858
00:38:30,120 --> 00:38:32,400
three students, right?
And and I drop like two or three

859
00:38:32,400 --> 00:38:36,960
chimps or even monkeys.
Money's on the monkeys, you

860
00:38:36,960 --> 00:38:39,280
know, to survive.
You know, like humans go like

861
00:38:39,440 --> 00:38:42,640
when humans are isolated from
their groups, bad things happen

862
00:38:42,880 --> 00:38:47,880
and then they're stuck.
You know, our strength is in

863
00:38:47,880 --> 00:38:51,480
being able to work together and
use this accumulated knowledge

864
00:38:51,480 --> 00:38:54,360
to go well beyond we've ever
been able to go.

865
00:38:55,040 --> 00:38:59,920
And I see over.
The over the misunderstanding of

866
00:38:59,920 --> 00:39:04,440
what intelligence is holds back
a lot of the human and social

867
00:39:04,440 --> 00:39:07,400
sciences.
You know sometimes what it takes

868
00:39:07,400 --> 00:39:09,400
for a scientist to before it is
to let go of assumptions and

869
00:39:09,400 --> 00:39:11,400
that's one that's holding like
it's kind of like when we

870
00:39:11,400 --> 00:39:13,120
thought that the you know
obviously the Earth is flat I

871
00:39:13,120 --> 00:39:15,120
can see it and the sun is
tracing this guy from east to

872
00:39:15,120 --> 00:39:17,120
West.
Obviously I let go of that

873
00:39:17,120 --> 00:39:19,720
assumption, or if I let go of
the the, you know, the circular

874
00:39:19,720 --> 00:39:22,400
orbits that I use with ellipses,
then I get a better model of the

875
00:39:22,400 --> 00:39:24,360
solar system.
When you let go of this

876
00:39:24,360 --> 00:39:26,920
assumption that human
intelligence is somehow innate,

877
00:39:26,920 --> 00:39:31,280
inborn, you know, not cultural,
you get a better model of our

878
00:39:31,280 --> 00:39:34,960
species.
When in talking of models and

879
00:39:34,960 --> 00:39:38,640
trying to model human behaviour,
often think about this podcast

880
00:39:38,640 --> 00:39:41,440
is dedicated to understanding
the human mind and consciousness

881
00:39:41,640 --> 00:39:44,320
and trying to figure out whether
we have free will or not are

882
00:39:44,320 --> 00:39:47,880
very fundamental questions.
How do you think of what a mind

883
00:39:47,880 --> 00:39:51,320
is or what consciousness is?
Oh, do you even think about

884
00:39:51,320 --> 00:39:53,880
that?
I got to be honest.

885
00:39:53,880 --> 00:39:57,440
I got to be honest with you.
So I don't know what

886
00:39:57,440 --> 00:40:00,360
consciousness is like.
I, you know, I don't even ask

887
00:40:00,360 --> 00:40:03,640
the question because I live
like, so I I hung out.

888
00:40:03,640 --> 00:40:05,960
I, you know, I used to hang out
with some folks who do like

889
00:40:06,520 --> 00:40:08,400
integrated information theory
IIT.

890
00:40:08,400 --> 00:40:12,880
You know, I was like, I mean,
OK, I literally, like, define

891
00:40:12,880 --> 00:40:15,320
consciousness for me.
Like, what does that even mean?

892
00:40:15,880 --> 00:40:17,680
You know after we do that then
we can study it.

893
00:40:17,680 --> 00:40:20,640
So I don't know what it is you
know and free will.

894
00:40:20,640 --> 00:40:23,040
I kind of I can kind of
understand what you mean by free

895
00:40:23,040 --> 00:40:25,960
will and I think there's a
there's a space open like

896
00:40:25,960 --> 00:40:28,480
there's enough unknowns that
there may be a possibility of

897
00:40:28,480 --> 00:40:31,360
free will like the world is not
deterministic at the very least,

898
00:40:31,360 --> 00:40:33,600
right.
But that doesn't that doesn't

899
00:40:33,600 --> 00:40:35,520
mean it's obvious what free will
could possibly be.

900
00:40:35,520 --> 00:40:37,600
Just because there's non
determinism doesn't mean it's

901
00:40:37,640 --> 00:40:40,160
free, right?
I don't know.

902
00:40:40,160 --> 00:40:42,720
I don't know the answer to that.
Now I I could say other things.

903
00:40:42,720 --> 00:40:46,400
So I would say that it seems to
us, it seems to me our minds

904
00:40:46,520 --> 00:40:50,160
play simulations, right.
We we create we construct a

905
00:40:50,160 --> 00:40:52,960
simulation of the world and
that's how there we so we are

906
00:40:52,960 --> 00:40:56,800
not terminators you know so
we're not like rectangular

907
00:40:56,800 --> 00:40:58,960
object handle that is a door.
You know that's not it.

908
00:40:58,960 --> 00:41:01,600
I I expect door and if it's not
a door it's actually a window or

909
00:41:01,600 --> 00:41:04,600
a painting then the dorsal
anterior cingulate cortex fires

910
00:41:04,600 --> 00:41:06,840
off then I'm like simulation
broken.

911
00:41:06,840 --> 00:41:10,000
Figure this out you know and I
think part of our simulation a

912
00:41:10,000 --> 00:41:14,640
lot of processing is going on
beyond conscious awareness

913
00:41:14,800 --> 00:41:17,320
right.
A lot of our actual thinking is

914
00:41:17,320 --> 00:41:20,000
going on and and I you can take
advantage of this by the way I I

915
00:41:20,000 --> 00:41:23,320
use my sleep time to to process
difficult problems by you know

916
00:41:23,320 --> 00:41:26,280
reading about stuff before
trying to integrate information.

917
00:41:26,280 --> 00:41:30,400
You can use that because a lot
of it's subconscious but what we

918
00:41:30,400 --> 00:41:34,000
also have is a simulation of
ourselves right?

919
00:41:34,000 --> 00:41:37,200
That seems to be something that
has been useful for humans at

920
00:41:37,200 --> 00:41:40,640
least right.
Simulation, a model of you self

921
00:41:41,480 --> 00:41:43,880
and I think consciousness might
be something along those lines

922
00:41:43,880 --> 00:41:45,960
where it's like I have a
simulation to myself, I have you

923
00:41:45,960 --> 00:41:47,680
know it needs updated from time
to time.

924
00:41:47,920 --> 00:41:49,960
I updated based on what I
actually do.

925
00:41:50,280 --> 00:41:53,920
You know I update based on how I
feel in particular moments and

926
00:41:53,920 --> 00:41:57,200
but the truth is a lot of my
decision making comes after the

927
00:41:57,200 --> 00:41:59,360
fact.
You know, it's like, you know,

928
00:41:59,360 --> 00:42:02,760
the work on on moral intuitions,
you know, like you give people,

929
00:42:02,760 --> 00:42:06,000
you know, Jonathan Haidt gives
people these, you know, these

930
00:42:06,000 --> 00:42:08,240
disgusting stories.
And now people, it's like, is

931
00:42:08,240 --> 00:42:10,720
that moral?
Like, you know, guy has sex with

932
00:42:10,760 --> 00:42:14,080
dead chicken, washes it so
there's no trace of his DNA on

933
00:42:14,080 --> 00:42:15,920
it at all and then feeds it to
his guests.

934
00:42:15,920 --> 00:42:18,480
Was that bad?
You know, you know, and people

935
00:42:18,480 --> 00:42:21,320
are like, you know, like why?
Why was it bad?

936
00:42:21,320 --> 00:42:23,440
You know, and that that's when
people realize it's it's a it's

937
00:42:23,440 --> 00:42:25,160
an emotion, it's a God, it's
subconscious.

938
00:42:25,160 --> 00:42:28,080
And then on top of that we layer
the rationality.

939
00:42:29,120 --> 00:42:31,640
So I again, I think we can give
too much credence on our our

940
00:42:33,520 --> 00:42:37,880
perception of ourselves and that
introspection that we ought to.

941
00:42:38,600 --> 00:42:41,760
That that's become quite a theme
in in in neuroscience as well.

942
00:42:41,760 --> 00:42:44,720
I mean using Bayesian predictive
processing and trying to figure

943
00:42:44,760 --> 00:42:48,360
out how we we have these prior
credences and I mean we we think

944
00:42:48,360 --> 00:42:50,520
something's going to happen and
then obviously you and I enter a

945
00:42:50,520 --> 00:42:54,400
room if I expect to see a
lecturer and I don't, it'll be

946
00:42:54,400 --> 00:42:57,560
quite a shock to me if you if
you expect to see a class full

947
00:42:57,560 --> 00:43:00,000
of people that that's what
you'll see when you get in

948
00:43:00,000 --> 00:43:01,680
there.
So it's kind of like, yeah,

949
00:43:01,800 --> 00:43:03,800
yeah, yeah.
Do you think in a way that?

950
00:43:04,360 --> 00:43:07,560
Like sort of limits this
experience and and limits how we

951
00:43:07,560 --> 00:43:09,560
can project intelligence moving
forward.

952
00:43:10,200 --> 00:43:14,280
Is the fact that we're almost
making these heuristic versions

953
00:43:14,280 --> 00:43:16,520
of reality in our head?
Is the question making any

954
00:43:16,520 --> 00:43:19,120
sense?
I mean kind, I mean I'll try and

955
00:43:19,120 --> 00:43:21,480
answer it.
You know, look, what you need to

956
00:43:21,480 --> 00:43:23,840
understand then is if you if you
buy what I just said that you

957
00:43:24,120 --> 00:43:25,960
have a simulation, you got
these, you need to understand

958
00:43:25,960 --> 00:43:28,040
how that software was written,
right?

959
00:43:28,040 --> 00:43:30,280
And a lot of it is like socially
transmitted, right?

960
00:43:30,280 --> 00:43:34,040
So there's this, there's this
dumb debate in psychology.

961
00:43:34,040 --> 00:43:36,280
It goes on.
Are stereotypes true or not?

962
00:43:37,080 --> 00:43:40,520
I'm like that's under defined
question like what do you mean?

963
00:43:40,520 --> 00:43:44,720
You know, So you have to think
about where do stereotypes come

964
00:43:44,720 --> 00:43:47,760
from, like how do people acquire
this knowledge and if they're

965
00:43:47,760 --> 00:43:51,000
requiring it from distributions
of their own experience, maybe

966
00:43:51,000 --> 00:43:53,720
there's some truth to it, you
know, if they're requiring it

967
00:43:53,720 --> 00:43:55,520
socially.
Again, there might be some, but

968
00:43:55,520 --> 00:43:57,880
maybe it's outdated.
And So what you find is that,

969
00:43:57,880 --> 00:44:00,200
you know, the stereotypes of
people have more access to are

970
00:44:00,200 --> 00:44:02,400
are tend to be a little bit
closer to truth than the

971
00:44:02,400 --> 00:44:04,040
stereotypes that they have less
access to.

972
00:44:04,040 --> 00:44:06,760
Like, you know, like your
stereotypes of the way, you

973
00:44:06,760 --> 00:44:08,320
know, let's say you're living in
South Africa and your

974
00:44:08,320 --> 00:44:12,200
stereotypes of Italians or
Spaniards or, you know, Germans

975
00:44:12,480 --> 00:44:16,440
is probably less accurate than
your stereotypes of, you know,

976
00:44:16,440 --> 00:44:18,360
Zulu or Hosa or something like
that.

977
00:44:18,360 --> 00:44:22,040
You know, it's like I'm not all
Zulu, Hosa, you know, Afrikanas

978
00:44:22,040 --> 00:44:23,680
or whatever are the same.
They're not.

979
00:44:23,760 --> 00:44:25,000
They're not.
But if you looked at the

980
00:44:25,000 --> 00:44:28,000
distributions, you might find
that and some of them are self

981
00:44:28,000 --> 00:44:29,840
reinforcing by the way, you
know, people are aware of their

982
00:44:29,840 --> 00:44:31,840
own stereotypes and they'll talk
about it.

983
00:44:32,120 --> 00:44:34,440
You know, I was, I was in
Namibia, I was like you know, I

984
00:44:34,680 --> 00:44:36,960
was at the, I was at the.
But I, you know, like I'm, I'm

985
00:44:36,960 --> 00:44:40,480
here and I'm, I'm getting, I'm
getting some meat and I'm

986
00:44:40,480 --> 00:44:43,400
listening to this lady talking
and she's, she's talking to a

987
00:44:43,400 --> 00:44:45,720
friend and she's just like
everybody wants to say what

988
00:44:45,720 --> 00:44:47,920
their tribe is by the way, you
know everyone finds the need to

989
00:44:47,920 --> 00:44:50,960
talk about their tribe And
explaining her behaviour, she's

990
00:44:50,960 --> 00:44:53,480
like, you see my father is Zulu,
my mother is Hosa.

991
00:44:53,840 --> 00:44:57,480
And that's why I'm like this,
you know, it's like it's like,

992
00:44:57,640 --> 00:44:59,720
you know, for why we do it.
Yeah.

993
00:45:00,120 --> 00:45:00,720
Yeah.
So.

994
00:45:00,800 --> 00:45:03,320
So this is part of our software
and our expectations, right.

995
00:45:03,320 --> 00:45:07,400
And they change over time.
And, you know, we and the skills

996
00:45:07,400 --> 00:45:13,200
that we have delivered to us by
our education systems, by, you

997
00:45:13,200 --> 00:45:14,760
know, there's a big part of the
book about schools.

998
00:45:14,880 --> 00:45:17,160
Schools are outdated.
They are writing your software,

999
00:45:17,360 --> 00:45:19,880
but they're writing your
software for an industrial world

1000
00:45:19,880 --> 00:45:23,240
that doesn't exist anymore.
Like school with a factory model

1001
00:45:23,840 --> 00:45:26,320
designed or, you know, became
compulsory at the industrial

1002
00:45:26,320 --> 00:45:28,840
revolution to create factory
work as a factory model, create

1003
00:45:28,840 --> 00:45:30,240
factory workers.
It doesn't make sense, the way

1004
00:45:30,240 --> 00:45:31,600
to do it.
It's not equipped for the

1005
00:45:31,600 --> 00:45:34,840
information economy, let alone
the AI economy, right?

1006
00:45:35,200 --> 00:45:37,520
Like, you know, I tell the story
of, like, you know, I know

1007
00:45:37,520 --> 00:45:39,200
you're a little younger than me,
but, you know, when I was in

1008
00:45:39,200 --> 00:45:41,720
school that my teacher was like,
in middle school, they were

1009
00:45:41,760 --> 00:45:43,960
like, you better learn how to do
mental math because you're not

1010
00:45:43,960 --> 00:45:46,120
going to always carry a
calculator in your pocket.

1011
00:45:46,480 --> 00:45:48,960
It's like, well, didn't foresee
the iPhone, did you?

1012
00:45:50,400 --> 00:45:52,320
You know, I do have one with me
at all times.

1013
00:45:52,600 --> 00:45:54,600
And so like what we should be
learning is how to integrate

1014
00:45:54,600 --> 00:45:57,080
information, how to deal with
the world where information is

1015
00:45:57,080 --> 00:46:01,120
at our literal fingertips, in
our pockets, on our desks, you

1016
00:46:01,120 --> 00:46:03,680
know, and so that that it's a
different kind of software

1017
00:46:03,680 --> 00:46:05,800
that's required.
It's pretty scary how at this

1018
00:46:05,800 --> 00:46:08,960
point how Bionic would become
this move around without

1019
00:46:08,960 --> 00:46:11,400
yourself and you feel like
you've literally left your arm

1020
00:46:11,400 --> 00:46:13,720
behind.
It's it's it's almost like so

1021
00:46:13,720 --> 00:46:16,320
incorporated with technology at
this point it's impossible.

1022
00:46:18,080 --> 00:46:22,440
Do you think that based on
evolutionary theory of game

1023
00:46:22,440 --> 00:46:24,280
theory every sort of model we
have of human?

1024
00:46:24,840 --> 00:46:27,440
That we we have currently today,
and that we can apply to human

1025
00:46:27,440 --> 00:46:31,600
knowledge, that we can predict
with accuracy the way people

1026
00:46:31,600 --> 00:46:33,640
would behave in certain
situations.

1027
00:46:33,840 --> 00:46:36,760
Do you think we'd ever reach a
point of of of accurate

1028
00:46:36,760 --> 00:46:38,560
prediction to almost the same
devil?

1029
00:46:39,800 --> 00:46:41,720
Yeah, no, it's it's just like
biology, right?

1030
00:46:41,720 --> 00:46:43,080
Like we can't, we know the
rules.

1031
00:46:43,080 --> 00:46:44,880
But that doesn't mean we can
predict the trajectory of

1032
00:46:44,880 --> 00:46:47,760
species or predict, you know,
ecosystems.

1033
00:46:47,760 --> 00:46:50,400
We can kind of manage them.
We kind of understand it.

1034
00:46:50,640 --> 00:46:54,120
But that's we have to because
the other thing that we know is

1035
00:46:54,120 --> 00:46:56,800
that there is no human nature
right there.

1036
00:46:56,800 --> 00:46:58,600
There are some things that are
core because we're animals,

1037
00:46:58,600 --> 00:47:01,200
right?
Like we we poop, we eat, we, you

1038
00:47:01,200 --> 00:47:04,640
know, we, we mate and we have
children, you know, like this is

1039
00:47:04,640 --> 00:47:06,440
the thing we all do, you know?
So that's true.

1040
00:47:06,720 --> 00:47:09,400
And there's certain fundamental
drivers, you know, but there's

1041
00:47:09,400 --> 00:47:11,240
always exceptions.
So, you know, like we, we say

1042
00:47:11,240 --> 00:47:13,320
mating is a, is a is a
fundamental driver.

1043
00:47:13,320 --> 00:47:15,280
But then you have celibate
priests, right?

1044
00:47:15,920 --> 00:47:18,240
You have entire religions that
have gone extinct because they

1045
00:47:18,240 --> 00:47:19,760
didn't have children.
But you know that practice

1046
00:47:19,760 --> 00:47:22,120
celibacy.
You know you, you can say status

1047
00:47:22,120 --> 00:47:24,800
seeking is a is a human
universal because we're all in a

1048
00:47:24,800 --> 00:47:27,440
main competition.
But it is suppressed in

1049
00:47:28,360 --> 00:47:30,720
countries that pull, you know
pull down tall poppies, the tall

1050
00:47:30,720 --> 00:47:33,840
poppy syndrome and among the
kung you know the Bushmen, you

1051
00:47:33,840 --> 00:47:36,560
know the more egalitarian
societies among the Hadza as

1052
00:47:36,560 --> 00:47:38,680
well, right?
Know why that emerges?

1053
00:47:38,680 --> 00:47:41,320
Well, we think we know why.
We have a paper on how it

1054
00:47:41,320 --> 00:47:44,520
emerges as a as a as a feature
of limited resources.

1055
00:47:46,760 --> 00:47:51,360
You know, we we assume that
females are more are more picky

1056
00:47:51,360 --> 00:47:54,320
when it comes to mating and
males compete over females.

1057
00:47:54,560 --> 00:47:56,200
But that's mostly true in a
polygynous society.

1058
00:47:56,200 --> 00:47:59,920
When you enforce monogamy, then,
then, then males also become

1059
00:47:59,920 --> 00:48:01,840
picky and females become
competitive, right.

1060
00:48:01,840 --> 00:48:05,280
So there's a paper on in
monogamous societies, which is

1061
00:48:05,280 --> 00:48:10,280
most of the West these days.
All of the West these days, you

1062
00:48:10,280 --> 00:48:13,960
know, the, you see more
expenditure on, you know, hair,

1063
00:48:13,960 --> 00:48:18,560
hair salons make up more, more,
you know, more effort put on

1064
00:48:18,560 --> 00:48:21,160
social media in terms of tags
and stuff like that, like

1065
00:48:21,160 --> 00:48:24,400
Instagram in places where
there's a big inequality between

1066
00:48:24,400 --> 00:48:26,000
males like New York City, for
example.

1067
00:48:26,040 --> 00:48:29,280
You know, not a lot of, you
know, not not a lot of females.

1068
00:48:30,800 --> 00:48:33,840
You know, tons of males.
Sorry, other way around, you

1069
00:48:33,840 --> 00:48:35,400
know, lots of females, not a lot
of males.

1070
00:48:35,520 --> 00:48:37,960
So there's a massive competition
for those males.

1071
00:48:38,120 --> 00:48:40,680
So the people are putting more
Now that's a feature of a of a

1072
00:48:40,680 --> 00:48:44,200
constructed world monogamy you
know, like the ability to.

1073
00:48:44,680 --> 00:48:46,680
So.
So what we can do is we know the

1074
00:48:46,680 --> 00:48:51,040
rules by which humans work and
we can apply them to understand

1075
00:48:51,040 --> 00:48:53,560
a particular situation.
Just like you take a periodic

1076
00:48:53,560 --> 00:48:57,040
table or a Darwinian evolution,
or you bring those rules and you

1077
00:48:57,040 --> 00:49:00,480
say, OK, what are the relevant
things here and how can I apply

1078
00:49:00,480 --> 00:49:02,640
it to understand, predict and
change human behavior?

1079
00:49:03,480 --> 00:49:05,840
That's the richness, I think
that you, you know, I I hope to

1080
00:49:05,840 --> 00:49:08,640
see an explosion of in the next
in the couple of decades because

1081
00:49:08,760 --> 00:49:10,480
as I say in the book, this is
probably the most important

1082
00:49:10,480 --> 00:49:12,880
century in human history.
It's it's pretty fascinating to

1083
00:49:12,880 --> 00:49:17,960
see how fast everything is just
changing at this point.

1084
00:49:17,960 --> 00:49:22,400
This exponential rise in
technology, the fast-paced world

1085
00:49:22,400 --> 00:49:24,480
we're living in.
Do you think it's?

1086
00:49:24,960 --> 00:49:28,760
Going to reach a stage where
we'll rely on technology to a

1087
00:49:28,760 --> 00:49:32,160
point where AI perhaps, I mean
this is obviously speculative,

1088
00:49:32,160 --> 00:49:35,280
but do you think AI will reach a
level of intelligence that we

1089
00:49:35,280 --> 00:49:40,320
have and sort of go beyond so,
So First off, we already do rely

1090
00:49:40,320 --> 00:49:41,920
on our technology.
So I'll give you the example of

1091
00:49:41,920 --> 00:49:44,760
cooking, right.
That is a technology that we

1092
00:49:44,880 --> 00:49:48,240
have literally got genetic
changes in order to live on the

1093
00:49:48,280 --> 00:49:50,960
side, right.
We we have done this for I mean

1094
00:49:50,960 --> 00:49:53,880
you know I wear glasses.
You know this is another

1095
00:49:53,880 --> 00:49:56,360
technology that I, I, you know,
I I had a moment today where I

1096
00:49:56,360 --> 00:49:57,480
was like where did I put my
glasses?

1097
00:49:57,880 --> 00:50:00,720
I need to drive home.
You know like how will I see,

1098
00:50:01,400 --> 00:50:03,040
right.
And so it's already the case

1099
00:50:03,040 --> 00:50:05,960
that you know we we require our
technology and it's become more

1100
00:50:05,960 --> 00:50:09,720
and more so like you are not you
are not competing.

1101
00:50:09,720 --> 00:50:12,760
You since you were a child you
were not being prepared for a

1102
00:50:12,760 --> 00:50:14,600
natural world.
You were being prepared for a

1103
00:50:14,600 --> 00:50:18,880
world of commerce and capitalism
and reading, you know, which

1104
00:50:18,880 --> 00:50:21,680
required take a part of your
brain that's normally dedicated

1105
00:50:21,680 --> 00:50:24,240
to facial recognition and
dedicated to recognizing.

1106
00:50:24,240 --> 00:50:26,600
And it became an instinct for
you, by the way, you know, like,

1107
00:50:26,600 --> 00:50:28,760
you know the Stroop test where
you have like coloured coloured

1108
00:50:28,760 --> 00:50:31,080
words and you have to say the
colour and not the word.

1109
00:50:31,320 --> 00:50:33,800
You can't help but read.
You know, you say the you can't

1110
00:50:33,840 --> 00:50:35,280
see the colour.
So if you, if you're a

1111
00:50:35,280 --> 00:50:37,240
psychologist or Venus, you'd
come down, you'd be like, well,

1112
00:50:37,520 --> 00:50:40,440
these humans have a natural
instinct for reading but not for

1113
00:50:40,440 --> 00:50:42,800
colour perception, as you know.
Here's my evidence and you'd

1114
00:50:42,800 --> 00:50:45,240
have the evidence.
A lot of this stuff is is

1115
00:50:45,240 --> 00:50:48,600
software, and we already live in
a thoroughly technological

1116
00:50:48,600 --> 00:50:49,680
world.
But you asked me another

1117
00:50:49,680 --> 00:50:51,640
question.
It's like, will AI reach the

1118
00:50:51,640 --> 00:50:55,120
level of of humanity?
I mean, in the book I call it, I

1119
00:50:55,120 --> 00:50:58,440
call it a kind of fourth line of
information, you know, which is,

1120
00:50:58,440 --> 00:51:00,960
you know, we have genetics, you
know, millions of years of

1121
00:51:00,960 --> 00:51:04,160
genetic evolution, thousands of
evolution, a short lifetime of

1122
00:51:04,160 --> 00:51:07,280
experience.
And now we have AI which can

1123
00:51:07,800 --> 00:51:13,120
gather all of that information
across the cultural corpus and

1124
00:51:13,120 --> 00:51:15,960
give you personalized
recommendations and personalized

1125
00:51:15,960 --> 00:51:17,880
information.
So I think we will work

1126
00:51:17,880 --> 00:51:21,320
alongside our AI and and how
they will become indispensable.

1127
00:51:21,720 --> 00:51:23,920
I mean for me at least, you
know, a lot of language models

1128
00:51:23,920 --> 00:51:26,400
like ChatGPT are already in
dispense, I use it every day,

1129
00:51:26,800 --> 00:51:29,240
you know, but like they'll
become indispensable, you know.

1130
00:51:29,240 --> 00:51:33,400
So a lot of data-driven decision
making, right, requires data at

1131
00:51:33,400 --> 00:51:36,760
the average.
So for example, you know if you

1132
00:51:36,760 --> 00:51:39,280
are, if you want to say who,
what makes you happy, you have

1133
00:51:39,280 --> 00:51:41,720
to say what makes the average
person happy because that's what

1134
00:51:41,720 --> 00:51:43,920
you get reported.
But the average person is

1135
00:51:43,920 --> 00:51:46,600
ironically rare.
There is no average person.

1136
00:51:46,920 --> 00:51:49,440
None of us is average.
We're all somewhere on

1137
00:51:49,440 --> 00:51:52,360
different, you know, different
variables, different you know,

1138
00:51:52,720 --> 00:51:55,400
in terms of things.
And so you what you want is what

1139
00:51:55,560 --> 00:51:57,120
does, what makes Someone Like
You happy.

1140
00:51:58,000 --> 00:52:00,600
Or if you're a country, you
know, it's not useful to know

1141
00:52:00,600 --> 00:52:04,000
what made Denmark successful.
If you are, you know, the

1142
00:52:04,000 --> 00:52:06,760
Democratic Republic of Congo.
But it might help you to know

1143
00:52:06,760 --> 00:52:11,120
what Rwanda did, right?
If you are Namibia, it might

1144
00:52:11,120 --> 00:52:14,440
help you to look over at
Botswana and Angola and South

1145
00:52:14,440 --> 00:52:17,040
Africa and learn from what
happened there, right.

1146
00:52:17,360 --> 00:52:19,240
But then also think about your
specific content.

1147
00:52:19,280 --> 00:52:21,800
AI can allow you to do that
'cause you can get personalized.

1148
00:52:21,800 --> 00:52:23,080
And that's what I'm excited
about, right?

1149
00:52:23,240 --> 00:52:26,920
So it's a fourth line of
information just because.

1150
00:52:26,920 --> 00:52:30,840
So you know a lot of people are
worried about like AI as going

1151
00:52:30,840 --> 00:52:33,120
to take over, you know, or like
replace humans.

1152
00:52:33,120 --> 00:52:36,800
And I think it it comes from
that misunderstanding of what

1153
00:52:36,800 --> 00:52:39,440
intelligence it is.
Even in our society, the most

1154
00:52:39,440 --> 00:52:42,360
intelligent aren't always the
ones who are like leading

1155
00:52:42,360 --> 00:52:44,920
everyone else, right.
Like even if you're like you

1156
00:52:44,920 --> 00:52:48,400
know, 55 Sigma, let's say you
know like well above like it

1157
00:52:48,400 --> 00:52:50,040
doesn't mean that you're like,
you know, in charge of

1158
00:52:50,040 --> 00:52:53,080
everything you, you, you.
AI has to work in the world,

1159
00:52:53,080 --> 00:52:54,600
right?
They have to have the factories

1160
00:52:55,000 --> 00:52:57,720
to have energy, you know that
for at least in the, in the

1161
00:52:57,720 --> 00:53:00,080
interim like they need someone
can pull out the plug.

1162
00:53:00,160 --> 00:53:03,080
You know, you can shut down the
data center or whatever it has

1163
00:53:03,080 --> 00:53:07,560
to operate in the world.
And what's more, we have agency

1164
00:53:07,560 --> 00:53:10,360
that was given to us by millions
of years of genetic evolution

1165
00:53:10,360 --> 00:53:11,840
and thousands of years of
cultural evolution, right.

1166
00:53:11,840 --> 00:53:15,720
We we have goals like we compete
with one another because that's

1167
00:53:15,720 --> 00:53:18,040
what evolution does and we
cooperate with one another

1168
00:53:18,040 --> 00:53:20,080
because that's what evolution
does and we have cultural ways

1169
00:53:20,080 --> 00:53:21,880
of doing that.
Now, if you create an AI,

1170
00:53:22,920 --> 00:53:26,280
there's no reason to believe
that the eye has a goal other

1171
00:53:26,280 --> 00:53:28,720
than the one you gave it.
Now, it is true that we don't

1172
00:53:28,720 --> 00:53:33,000
know how to specify a goal well
enough to give that AI goal.

1173
00:53:33,000 --> 00:53:35,200
You know, there's that story
about, you know, they did it in

1174
00:53:35,200 --> 00:53:37,680
a simulated environment.
They gave the AI the goal of

1175
00:53:37,880 --> 00:53:40,800
destroying the enemy, and, you
know, off it went to destroy the

1176
00:53:40,800 --> 00:53:42,200
enemy.
And then they changed the order

1177
00:53:42,320 --> 00:53:44,080
and it came back and it
destroyed the human.

1178
00:53:44,280 --> 00:53:46,480
And so then they were like, OK,
well, destroy the enemy without

1179
00:53:46,480 --> 00:53:49,160
destroying us.
And so then off it went and then

1180
00:53:49,160 --> 00:53:50,760
it changed its order and it came
back and destroyed the

1181
00:53:50,760 --> 00:53:54,040
communication tower so that he
couldn't give the order to not

1182
00:53:54,040 --> 00:53:55,520
destroy the enemy.
Right.

1183
00:53:55,840 --> 00:53:59,240
So and but but you know what?
This is also the case with

1184
00:53:59,240 --> 00:54:01,760
humans, right?
Like humans are a little bit

1185
00:54:01,760 --> 00:54:03,760
better.
And so the AI needs theory of

1186
00:54:03,760 --> 00:54:06,880
mind in some ability to try to
simulate what's because that's

1187
00:54:06,880 --> 00:54:09,520
what that that was what we
cracked, right?

1188
00:54:09,520 --> 00:54:12,680
Like we enabled our ability to
simulate the other person's

1189
00:54:12,680 --> 00:54:16,200
brain.
In doing so, we would be able to

1190
00:54:16,200 --> 00:54:19,600
say, OK, well, it doesn't matter
that Tevin said this, what he

1191
00:54:19,600 --> 00:54:23,600
meant was this.
Because I know Tevin and the AI

1192
00:54:23,600 --> 00:54:25,480
doesn't do that.
It has to be completely

1193
00:54:25,480 --> 00:54:28,040
specified at the moment.
But once it starts having a

1194
00:54:28,040 --> 00:54:31,680
better representation of you, it
can infer those you know your

1195
00:54:31,680 --> 00:54:34,200
goals a bit better.
So I'm I'm less, I'm more of a

1196
00:54:34,200 --> 00:54:35,840
techno.
I'm AI think of myself as a

1197
00:54:35,840 --> 00:54:38,720
techno realist, but I'm more of
a techno optimist than I am a a

1198
00:54:38,720 --> 00:54:39,720
pessimist.
Like I just.

1199
00:54:39,720 --> 00:54:41,680
I just don't buy like the paper
clip analysis.

1200
00:54:42,160 --> 00:54:44,560
It's also quite fascinating
because when when human beings,

1201
00:54:44,800 --> 00:54:47,240
when when people make that
claim, like are we going to make

1202
00:54:47,240 --> 00:54:49,760
conscious artificial
intelligence?

1203
00:54:50,320 --> 00:54:52,960
It's it's it's funny because
they don't think about the fact

1204
00:54:52,960 --> 00:54:55,360
that they make conscious agents
all the time.

1205
00:54:55,360 --> 00:54:58,440
But just by giving birth to
people, I mean, you're literally

1206
00:54:58,520 --> 00:55:01,320
of making a mind.
You don't know this thing's

1207
00:55:01,320 --> 00:55:02,800
going to go and kill everybody
or not.

1208
00:55:02,800 --> 00:55:03,880
You literally don't know.
That's right.

1209
00:55:03,880 --> 00:55:05,520
That's.
Yeah, you want to If you want to

1210
00:55:05,560 --> 00:55:08,240
understand about AI alignment,
think about human alignment.

1211
00:55:08,360 --> 00:55:11,360
Like how do we align humans to
not each other at the scale that

1212
00:55:11,360 --> 00:55:14,880
we used to that required, you
know, when my assistant or my

1213
00:55:14,880 --> 00:55:18,040
team, right?
Like I also have to train them

1214
00:55:18,040 --> 00:55:20,480
with more specific instructions
like not going to destroy the

1215
00:55:20,480 --> 00:55:22,600
communication tower or kill me
to the best of my knowledge.

1216
00:55:22,960 --> 00:55:25,680
But you know like at the same
time I need to give clear

1217
00:55:25,680 --> 00:55:27,680
instructions.
I need to give feedback and I

1218
00:55:27,680 --> 00:55:30,880
need to provide.
We already know roughly how we

1219
00:55:30,880 --> 00:55:34,960
align humans and I think AI need
to cooperate with us.

1220
00:55:35,280 --> 00:55:37,560
So, you know, I I have like a a
burgeoning area of research

1221
00:55:37,560 --> 00:55:41,200
where we're looking at at
cooperative AI and how we apply

1222
00:55:41,200 --> 00:55:43,880
what we understand about human
cooperation, human alignment,

1223
00:55:44,600 --> 00:55:46,960
you know, human cultural
evolution, to think about how to

1224
00:55:46,960 --> 00:55:49,200
do that with AI.
But it's like it's all fresh and

1225
00:55:49,200 --> 00:55:51,320
new.
So overall, where are we going

1226
00:55:51,640 --> 00:55:53,200
as a species?
What do you think?

1227
00:55:53,360 --> 00:55:56,080
Do you think of it as a
teleology, as if there's a skull

1228
00:55:56,080 --> 00:55:58,560
directedness in the universe or
do you think it's just going to

1229
00:55:58,560 --> 00:56:03,280
play out at random?
You know, I, I, you know, like I

1230
00:56:03,280 --> 00:56:06,600
said, if if I believe anything
at all, you know in terms of the

1231
00:56:06,600 --> 00:56:10,320
teleology, I believe that higher
scales of cooperation, the

1232
00:56:10,320 --> 00:56:14,600
ability to work together in
higher organization, high scales

1233
00:56:14,600 --> 00:56:17,760
of cooperation where there's
alignment, where you retain the

1234
00:56:17,760 --> 00:56:20,960
autonomy at the lower levels,
but there's alignment is I think

1235
00:56:20,960 --> 00:56:23,880
the ideal, if there is any
teleology at all where we begin

1236
00:56:23,880 --> 00:56:29,920
to work together at higher and
higher scales, at the AI and our

1237
00:56:29,920 --> 00:56:32,560
creations, the animals around
us.

1238
00:56:32,560 --> 00:56:37,160
Other alien species like higher
scales of working is I think a

1239
00:56:37,160 --> 00:56:39,600
secular aspiration that we can
only be behind Regardless I

1240
00:56:39,600 --> 00:56:44,480
would think and I would say like
you when you are healthy are and

1241
00:56:44,560 --> 00:56:46,760
you are an Amazon rainforest,
you're not you're as an

1242
00:56:46,760 --> 00:56:48,560
Organism.
You're not a single Organism.

1243
00:56:48,560 --> 00:56:51,880
You're filled with a microbiome
you know in various parts of

1244
00:56:51,880 --> 00:56:54,080
your body you know people talk
about their gut a lot for

1245
00:56:54,080 --> 00:56:56,720
example you couldn't survive
without of that all the

1246
00:56:56,760 --> 00:56:59,720
microbiome and and your cells
are you are multicellular

1247
00:56:59,720 --> 00:57:03,200
complex multicellular Organism
you carry like where each of

1248
00:57:03,200 --> 00:57:07,080
those cells are working in
wanting to survive they will

1249
00:57:07,080 --> 00:57:10,880
even take a hit to themselves.
Now when a cell goes rogue and

1250
00:57:10,880 --> 00:57:14,920
says, actually I don't care
about Tevin, I want to, I want

1251
00:57:14,920 --> 00:57:16,880
to live.
We call that a cancer.

1252
00:57:16,880 --> 00:57:20,960
We call that humor, you know, or
when we get defeated by outside

1253
00:57:20,960 --> 00:57:23,840
organisms, you know, like the
bacteria, the viruses or

1254
00:57:23,840 --> 00:57:25,280
whatever, right.
And often that happens when

1255
00:57:25,280 --> 00:57:28,960
we're resource depleted, you
know, that is when we get sick

1256
00:57:29,000 --> 00:57:31,800
and then the the ecosystem
starts to collapse the, you

1257
00:57:31,800 --> 00:57:33,480
know, the bodies to collapse on
itself, right.

1258
00:57:33,480 --> 00:57:37,280
And interestingly enough,
because we have alignment with

1259
00:57:37,360 --> 00:57:40,200
other members of our society,
physicians who have access to

1260
00:57:40,200 --> 00:57:43,560
medicines and so on, then we can
actually prolong the life of a

1261
00:57:43,560 --> 00:57:47,600
person, right.
You know, Margaret Mead is

1262
00:57:48,200 --> 00:57:50,000
supposed to have said, I don't
think it was actually Margaret

1263
00:57:50,080 --> 00:57:52,800
Mead who said this, but, you
know, a sign of a civilization

1264
00:57:52,800 --> 00:57:55,040
is a broken bone.
Why?

1265
00:57:55,240 --> 00:57:59,520
Because a broken bone in the
animal Kingdom is death stand.

1266
00:58:00,280 --> 00:58:05,320
But a a healed broken bone means
that you had cooperation at a

1267
00:58:05,320 --> 00:58:08,200
level where other people cared
for you till that bone healed

1268
00:58:08,520 --> 00:58:11,000
and looked after you if you had,
you know, any kind of issues

1269
00:58:11,000 --> 00:58:13,400
after, right.
So I think that if there's

1270
00:58:13,400 --> 00:58:17,120
anything at all is a kind of
aspiration now, then you have to

1271
00:58:17,120 --> 00:58:20,640
think about OK, well what drives
higher scales of cooperation

1272
00:58:20,640 --> 00:58:23,200
rather than lower.
And for me, like we haven't even

1273
00:58:23,200 --> 00:58:25,280
talked about this, but a big
portion of the book is on energy

1274
00:58:25,800 --> 00:58:29,960
and the role that, you know,
energy access and excess energy

1275
00:58:29,960 --> 00:58:32,440
play.
Because in order to cooperate at

1276
00:58:32,440 --> 00:58:36,760
a high scale, my returns per
cell, per Organism, per

1277
00:58:36,760 --> 00:58:40,440
individual, per per society, per
country, per company has to be

1278
00:58:40,440 --> 00:58:42,720
higher than what it would be if
I worked in a smaller group.

1279
00:58:43,120 --> 00:58:45,160
Because I will work in the
smaller group evolutions

1280
00:58:45,160 --> 00:58:47,880
exploring that landscape and
says actually, yeah, we'll work

1281
00:58:47,880 --> 00:58:49,480
in the smaller group, then we
call that corruption.

1282
00:58:49,680 --> 00:58:52,000
We call that insurrection.
We call that, you know, regional

1283
00:58:52,000 --> 00:58:54,720
parochialism, religious
parochialism like, you know, and

1284
00:58:54,720 --> 00:58:58,440
so when we have enough resources
and to access those resources we

1285
00:58:58,440 --> 00:59:01,480
need more people.
That's when you get this higher

1286
00:59:01,480 --> 00:59:05,400
scale of cooperation, right.
And so you know I I see a lot of

1287
00:59:05,400 --> 00:59:08,160
the problems we face as being a
result of it's not that we don't

1288
00:59:08,160 --> 00:59:10,840
have energy, it's just that at
the moment we're in a bit of a

1289
00:59:10,840 --> 00:59:12,720
decline.
We we we, you know we skip the

1290
00:59:12,720 --> 00:59:17,440
nuclear age and the our it's
just a temporary decline.

1291
00:59:17,440 --> 00:59:19,200
Whenever we have a temporary
decline, we get to a recession,

1292
00:59:19,640 --> 00:59:21,280
right.
There's a there's a whenever the

1293
00:59:21,360 --> 00:59:23,320
the price of oil shoots up, we
go into a recession.

1294
00:59:24,000 --> 00:59:27,040
And So what we're seeing is like
an issue with the end of the age

1295
00:59:27,040 --> 00:59:28,400
of fossil fuels.
You know what?

1296
00:59:28,400 --> 00:59:30,760
There's one key metric about
energy return on investment.

1297
00:59:31,080 --> 00:59:33,040
And I give the example that all
the metrics look like this.

1298
00:59:33,440 --> 00:59:36,200
You know, the example of oil
discovery rates.

1299
00:59:36,600 --> 00:59:41,360
So in 1919, one barrel of oil
foundry, another 1000 by 1951

1300
00:59:41,360 --> 00:59:42,960
barrel of oil of oil foundry,
another hundred.

1301
00:59:42,960 --> 00:59:46,720
And by 2010, we'll barrel
Foundry another 5 S Fracking has

1302
00:59:46,720 --> 00:59:50,080
saved us a little bit because we
had access to more and you know,

1303
00:59:50,080 --> 00:59:52,160
solar has gotten cheaper.
So there's possibilities there.

1304
00:59:52,160 --> 00:59:54,240
Nuclear is really the game
changer.

1305
00:59:54,240 --> 00:59:59,320
And if you have, you know, hydro
like fast flowing rivers, that's

1306
00:59:59,320 --> 01:00:01,920
another great source of energy.
Wind not so great.

1307
01:00:02,600 --> 01:00:05,240
Wave doesn't really work.
You know, geothermal's OK if you

1308
01:00:05,240 --> 01:00:06,960
have, you know, but it's pretty
specific.

1309
01:00:08,600 --> 01:00:11,280
So you know, energy access is
really what created the modern

1310
01:00:11,560 --> 01:00:13,600
like the fact that we found
millions of years worth of

1311
01:00:13,600 --> 01:00:16,920
stored sunlight in the form of
fossil fuels like.

1312
01:00:17,560 --> 01:00:19,600
Heat and Black Rock, you know,
turned to Black Rock with a

1313
01:00:19,640 --> 01:00:22,560
coal, coal, you know, algae and
zooplankton turned to oil and

1314
01:00:22,560 --> 01:00:25,680
natural gas.
We burned through those, you

1315
01:00:25,680 --> 01:00:27,520
know that there's a fusion
reactor in the sky.

1316
01:00:27,840 --> 01:00:30,880
Photosynthesis turned it into in
chemical form, you know, little

1317
01:00:31,040 --> 01:00:34,640
sugar, you know, ATP compressed
over millions of years, and we

1318
01:00:34,640 --> 01:00:36,960
burned that in centuries.
And that's what we used to

1319
01:00:36,960 --> 01:00:39,080
launch human civilization as we
know it today.

1320
01:00:39,600 --> 01:00:43,320
And now the coming century, We
don't have that next level of

1321
01:00:43,320 --> 01:00:44,560
abundance.
We're in deep trouble.

1322
01:00:45,480 --> 01:00:46,960
This all fits together.
Somehow it's.

1323
01:00:47,680 --> 01:00:51,240
It's it's pretty scary and and
when when you think about the

1324
01:00:51,240 --> 01:00:54,040
story you've told so far, it's
it looks like we made so much

1325
01:00:54,040 --> 01:00:55,840
progress and you look at
humanity, you look at all the

1326
01:00:55,840 --> 01:00:57,560
things we've done
technologically, everything

1327
01:00:57,560 --> 01:01:00,720
we're doing currently.
Why is it that we still at odds

1328
01:01:00,720 --> 01:01:04,000
all the time as well?
Why are people still, even

1329
01:01:04,000 --> 01:01:06,920
though we're globalized at this
point and interconnected as a

1330
01:01:06,920 --> 01:01:10,880
species, there's still so much
cultural diversity as well.

1331
01:01:11,040 --> 01:01:14,040
How are we?
Yeah.

1332
01:01:14,040 --> 01:01:16,000
So I mean diversity isn't a
problem if there's enough

1333
01:01:16,000 --> 01:01:19,160
resources to go around, right.
So I mean I I tell I try to use

1334
01:01:19,160 --> 01:01:21,280
some analogies to explain this.
So you know imagine like buses

1335
01:01:21,280 --> 01:01:23,840
waiting wrong that's like you
know you cannot that's like the

1336
01:01:24,000 --> 01:01:26,560
amount of energy or economic
growth or something like that.

1337
01:01:26,840 --> 01:01:28,400
You know there's fractures in
society, right.

1338
01:01:28,400 --> 01:01:31,080
Like some people like why do
some people have this this this

1339
01:01:31,360 --> 01:01:33,760
past that gets them to the front
of the line every single time.

1340
01:01:33,760 --> 01:01:36,600
You know this is the 1%.
You know why do some groups let

1341
01:01:36,600 --> 01:01:38,120
other members of their group in
front of them?

1342
01:01:38,120 --> 01:01:39,880
You know, this is like
interethnic conflict, inter

1343
01:01:39,880 --> 01:01:42,640
religious or you know labor
unions, whatever.

1344
01:01:43,320 --> 01:01:45,880
But if buses are coming every 5
minutes, you just mumble and

1345
01:01:45,880 --> 01:01:47,360
grumble.
That's fine.

1346
01:01:48,160 --> 01:01:50,600
But if the rate of buses slows
down, you know, one an hour or

1347
01:01:50,600 --> 01:01:53,920
one a day, now that mumbling and
grumbling cracks, society comes

1348
01:01:53,920 --> 01:01:57,360
apart, right?
And The thing is, it's sometimes

1349
01:01:57,360 --> 01:02:01,000
it's it's a reality, just there
is, there is insufficient

1350
01:02:01,000 --> 01:02:03,840
resources, right?
In other times, our behaviour

1351
01:02:03,840 --> 01:02:06,960
creates the reality.
We're trapped in suboptimal

1352
01:02:06,960 --> 01:02:11,760
equilibrium.
DRC has lots of resources, so to

1353
01:02:11,760 --> 01:02:13,360
South Africa for that matter,
did you know?

1354
01:02:14,680 --> 01:02:17,800
But you have to work together to
get it or you will be exploited.

1355
01:02:17,960 --> 01:02:22,040
If you are the DRC, you can't.
You are too diverse, too

1356
01:02:22,040 --> 01:02:24,080
separated, too much interest in
conflict.

1357
01:02:24,280 --> 01:02:27,800
And so foreign nationals in the
form of like large companies

1358
01:02:27,800 --> 01:02:30,320
come in and they are far more
cooperative and they cooperate

1359
01:02:30,320 --> 01:02:33,360
with a small group of elites.
And that is sufficient to access

1360
01:02:33,360 --> 01:02:36,120
those resources at the at the
point where you cannot, right?

1361
01:02:36,120 --> 01:02:38,800
You can't.
Putin does not carry oil fields

1362
01:02:38,800 --> 01:02:42,480
in his pockets, but because he
has proceeded control, he hands

1363
01:02:42,480 --> 01:02:45,560
off resources to the to the
oligarchs who hand off resources

1364
01:02:45,560 --> 01:02:47,640
to their supporters.
And you have this network of

1365
01:02:47,640 --> 01:02:50,760
political package that holds
together until something shifts

1366
01:02:50,760 --> 01:02:52,000
and then there's a big
reshuffle.

1367
01:02:52,160 --> 01:02:55,400
But the Russian people can't
engage in sufficient collective

1368
01:02:55,400 --> 01:02:57,280
action because they don't have
the resources to do it.

1369
01:02:57,280 --> 01:03:00,440
They don't have that to out
compete this other cooperative

1370
01:03:00,440 --> 01:03:02,520
group.
So it is always, you know this

1371
01:03:02,520 --> 01:03:05,960
this kind of cooperation and and
the story of said that it was it

1372
01:03:05,960 --> 01:03:08,800
was a really sad and difficult
time right, for them to kind of

1373
01:03:08,800 --> 01:03:12,240
come together as a nation.
There was a possibility but all

1374
01:03:12,240 --> 01:03:13,560
of those other things were still
there.

1375
01:03:13,560 --> 01:03:16,720
And so you get trapped in these
suboptimal situations where

1376
01:03:17,000 --> 01:03:19,000
there's still trouble ISM.
You're working for your people

1377
01:03:19,000 --> 01:03:21,640
not not the best person.
There's differences in in

1378
01:03:21,640 --> 01:03:25,000
visions for the country.
We've seen this in the United

1379
01:03:25,000 --> 01:03:26,280
States.
So you know if you're Denmark

1380
01:03:27,280 --> 01:03:29,400
you already agree that social
medicine is the way to go.

1381
01:03:29,400 --> 01:03:31,680
You're the best person in charge
if you're the United States.

1382
01:03:31,760 --> 01:03:34,040
If you don't agree on the
fundamental, you have to put

1383
01:03:34,040 --> 01:03:36,040
your person in charge because
your person is very different to

1384
01:03:36,040 --> 01:03:38,360
other people, right.
If you, if you're in a country

1385
01:03:38,360 --> 01:03:41,280
that has a lot of corruption and
political patronage, you have to

1386
01:03:41,280 --> 01:03:43,160
be part of that in order to get
by.

1387
01:03:43,680 --> 01:03:45,600
And then you're trapped.
Because if you're in a situation

1388
01:03:45,600 --> 01:03:48,520
where the state can't provision
for you, you have to rely on

1389
01:03:48,520 --> 01:03:50,680
friends and family and smaller
networks.

1390
01:03:51,120 --> 01:03:53,520
But because you have to rely on
them and you have allocations to

1391
01:03:53,520 --> 01:03:56,320
them, it undermines the state.
So you can see it's you're

1392
01:03:56,320 --> 01:03:59,040
trapped, right.
And so getting out of this is

1393
01:03:59,040 --> 01:04:01,200
is, you know I I have some
suggestions on how to do it

1394
01:04:02,400 --> 01:04:05,920
start up cities for example, you
know creating basically more

1395
01:04:05,920 --> 01:04:08,200
competition because competition
is really what drives

1396
01:04:08,240 --> 01:04:10,880
cooperation ironically in the
presence of sufficient

1397
01:04:10,880 --> 01:04:13,680
resources.
So for example a country gave up

1398
01:04:13,680 --> 01:04:17,640
a portion of like if you allowed
autonomy at a local level where

1399
01:04:17,640 --> 01:04:21,000
you said, hey, this bit of land
not super used needs a bit like

1400
01:04:21,400 --> 01:04:24,160
you can create, you can, you can
coordinate with whatever you

1401
01:04:24,160 --> 01:04:28,680
want and you can create together
as a people and decide rules of

1402
01:04:28,680 --> 01:04:31,320
this area, who you work with,
what happens.

1403
01:04:31,320 --> 01:04:34,400
You can set that can separate
you, you can you can raise your

1404
01:04:34,400 --> 01:04:37,720
own army, whatever you can.
That means separate you from the

1405
01:04:38,160 --> 01:04:39,960
rest of the, you know, the
corrupt system.

1406
01:04:40,840 --> 01:04:43,440
And so when there's now one of
those is is likely to be corrupt

1407
01:04:43,440 --> 01:04:45,560
itself and it's probably going
to go out, you know, out of

1408
01:04:45,560 --> 01:04:46,800
business.
But when it's aligned, it's a

1409
01:04:46,800 --> 01:04:48,120
little bit like Silicon Valley,
right?

1410
01:04:48,120 --> 01:04:49,840
Silicon Valley is a graveyard of
failure.

1411
01:04:50,240 --> 01:04:52,880
Companies fail.
Like, you know Myspace and

1412
01:04:52,880 --> 01:04:55,320
Vitals and you know things
you've never heard about Cools

1413
01:04:55,320 --> 01:04:57,600
and you know all this crazy
stuff you've never heard about.

1414
01:04:58,040 --> 01:05:00,720
But a few successes pay for the
rest, the Microsofts, the

1415
01:05:00,720 --> 01:05:02,400
Googles.
And because people can move,

1416
01:05:02,400 --> 01:05:04,440
they can start their own
companies and there's a kind of

1417
01:05:04,440 --> 01:05:06,720
free movement.
That's why the system works.

1418
01:05:07,600 --> 01:05:10,600
The market is sufficiently large
to to to take advantage of that.

1419
01:05:10,880 --> 01:05:13,720
So if you allow cities to grow,
you allow them to compete with

1420
01:05:13,720 --> 01:05:16,400
one another, you allow them to
import institutions, culture,

1421
01:05:16,400 --> 01:05:19,560
set migration and slun in areas
that are undeveloped.

1422
01:05:19,560 --> 01:05:20,840
So you're not going to lose
anything.

1423
01:05:21,680 --> 01:05:25,080
That's this can be a model of
growth for I think Africa as

1424
01:05:25,080 --> 01:05:27,760
well as other places.
I think you're touching just one

1425
01:05:27,840 --> 01:05:29,600
as many.
You're touching on another

1426
01:05:29,600 --> 01:05:32,640
because it's something so
prevalent on on our end.

1427
01:05:32,760 --> 01:05:35,400
I mean, when I think about right
here in South Africa right now,

1428
01:05:35,400 --> 01:05:37,600
when you talk about energy,
you're talking about cultural

1429
01:05:37,600 --> 01:05:39,520
diversity in South Africa.
We have what's called load

1430
01:05:39,520 --> 01:05:40,560
cheating.
I don't know if you're familiar

1431
01:05:40,560 --> 01:05:42,680
with it.
So yeah, yeah.

1432
01:05:43,560 --> 01:05:46,400
It's so frustrating, so like at
any point I would give it at

1433
01:05:46,400 --> 01:05:48,760
about.
In about two hours time my

1434
01:05:48,760 --> 01:05:50,400
electricity is going to
completely shut off, but I've

1435
01:05:50,400 --> 01:05:53,400
got an inverter generator just
to keep things going.

1436
01:05:54,840 --> 01:05:58,440
But it's so frustrating because
we've worked around this so so I

1437
01:05:58,440 --> 01:06:02,200
go through my days preparing for
at least three, two hour

1438
01:06:02,200 --> 01:06:06,680
schedules of blackouts in a day.
So we spent almost 6 to 8 hours

1439
01:06:06,680 --> 01:06:09,440
a day with no electricity.
It's absurd and Africa's

1440
01:06:09,720 --> 01:06:12,160
actually quiet.
Think about about the effects on

1441
01:06:12,160 --> 01:06:14,240
commerce.
Think about the effects on

1442
01:06:14,240 --> 01:06:16,040
economic growth.
You know these are self

1443
01:06:16,040 --> 01:06:19,040
fulfilling cycles.
You know, I mean you know I I I

1444
01:06:19,040 --> 01:06:21,520
was chatting with a a South
African colleague and you know I

1445
01:06:21,520 --> 01:06:23,080
said look this is like a failed
state.

1446
01:06:23,080 --> 01:06:25,120
She got very upset.
She's like you know and I was I

1447
01:06:25,120 --> 01:06:26,440
don't think that's helpful to be
upset.

1448
01:06:26,520 --> 01:06:30,360
You know, if a if a state can't
provision electricity for its

1449
01:06:30,360 --> 01:06:33,080
citizens, that's fundamentally
different to a state.

1450
01:06:33,080 --> 01:06:36,600
Even provisioning healthcare.
You know, energy is, is is the

1451
01:06:36,600 --> 01:06:40,000
lifeblood of of civilization.
Even more than keeping your

1452
01:06:40,000 --> 01:06:42,680
citizens healthy, it is
literally the lifeblood.

1453
01:06:42,680 --> 01:06:47,280
Like that is what empowers human
ingenuity, right?

1454
01:06:47,280 --> 01:06:49,680
You know, like Winston Churchill
had this thing, you know, he

1455
01:06:49,680 --> 01:06:53,440
said what a man can do in a day
if he has the power of coal, he

1456
01:06:53,440 --> 01:06:55,880
can do a week's worth of work.
A month's worth of work, right.

1457
01:06:55,880 --> 01:06:58,720
And he and then he was basically
saying if you have the power of

1458
01:06:58,720 --> 01:07:00,720
nuclear then thousand times
still, right.

1459
01:07:00,720 --> 01:07:01,800
He was very hopeful on this
stuff.

1460
01:07:02,080 --> 01:07:05,360
As I said, we missed that age,
but it's a serious issue, right?

1461
01:07:05,360 --> 01:07:09,520
And it's unclear how you know
how that coalition comes

1462
01:07:09,520 --> 01:07:10,920
together.
It's a cooperative problem,

1463
01:07:10,920 --> 01:07:12,440
right?
A coalition comes together to

1464
01:07:12,440 --> 01:07:15,720
displace the current coalition.
Yeah, this is what.

1465
01:07:16,000 --> 01:07:18,080
You're talking about.
I mean, that's precisely the

1466
01:07:18,080 --> 01:07:21,080
problem, is that we've got
political issues that because

1467
01:07:21,080 --> 01:07:23,600
we've got the resources, we've
got everything we actually need.

1468
01:07:23,600 --> 01:07:27,760
It's just that things just don't
allow, you know, like, you know,

1469
01:07:27,760 --> 01:07:29,640
as I said to you, you know, I
grew up in Botswana.

1470
01:07:29,640 --> 01:07:32,560
You know, I think in 97 maybe,
you know, I was there from like

1471
01:07:32,560 --> 01:07:36,480
90 to 97.
I mean, it's close to my heart

1472
01:07:36,480 --> 01:07:38,240
and it makes my heart because I
saw it.

1473
01:07:38,240 --> 01:07:41,360
You know, I was old enough to
remember, like, you know, in the

1474
01:07:41,360 --> 01:07:44,320
book I, you know, I have this,
this image of like, you know, I

1475
01:07:44,320 --> 01:07:47,440
talk about like seeing FW de
Klerk, you know, with this kind

1476
01:07:47,440 --> 01:07:50,000
of sombre look on his face and,
you know, Mandela with, you

1477
01:07:50,000 --> 01:07:52,680
know, with this beaming smile
and raising their hands

1478
01:07:52,680 --> 01:07:56,120
together, right, ushering in a
new era of hope and uncertainty.

1479
01:07:56,600 --> 01:07:59,520
And it wasn't clear, you know,
could anyone, you know, fill

1480
01:07:59,520 --> 01:08:01,720
Mandela's shoes?
What direction would this

1481
01:08:01,720 --> 01:08:03,400
country go in?
There was.

1482
01:08:03,640 --> 01:08:09,040
There was, there was, there was
opportunity that was squandered,

1483
01:08:09,040 --> 01:08:13,000
let's put it that way.
So hopeful novel is so hopeless.

1484
01:08:13,280 --> 01:08:15,040
Yeah.
I mean the excitement of the

1485
01:08:15,040 --> 01:08:18,600
time you know like I remember, I
remember being Johannesburg you

1486
01:08:18,600 --> 01:08:22,800
know like before and after.
You know, I just I it's it's

1487
01:08:22,840 --> 01:08:24,439
it's heartbreaking.
It's honestly, it's

1488
01:08:24,439 --> 01:08:26,479
heartbreaking as an outside as
a, you know, and I don't want to

1489
01:08:26,479 --> 01:08:29,040
say it inside, but someone who's
close to it, but also outside of

1490
01:08:29,040 --> 01:08:31,000
it who has friends there.
It's how it's heartbreaking.

1491
01:08:31,160 --> 01:08:33,760
For us, it's very strange
because we, we love South

1492
01:08:33,840 --> 01:08:35,760
Africa.
I mean, living here, growing up

1493
01:08:35,760 --> 01:08:39,520
a year, you love the country,
but yet you also hate the

1494
01:08:39,520 --> 01:08:41,640
country at the same time.
It's one of those, yeah, Yeah,

1495
01:08:42,200 --> 01:08:44,760
relationships with the with
because you want to leave the.

1496
01:08:44,800 --> 01:08:47,000
No, Yeah, it's.
Very strange.

1497
01:08:47,359 --> 01:08:47,920
Yeah.
Yeah.

1498
01:08:48,040 --> 01:08:50,040
I mean, there's something about
the African way and there's

1499
01:08:50,040 --> 01:08:52,399
something about the South
African culture, Yeah.

1500
01:08:52,399 --> 01:08:56,720
And honestly, you know, I'm a
very citizen, but go back, you

1501
01:08:56,840 --> 01:09:01,520
know, next weekend.
That's The funny thing is, is

1502
01:09:01,520 --> 01:09:04,439
that the country, it just so
happened that for some reason

1503
01:09:04,439 --> 01:09:06,600
this week we don't have load
shitting.

1504
01:09:07,359 --> 01:09:10,000
Yeah, and it's.
And it's clearly because they,

1505
01:09:10,080 --> 01:09:13,200
they know exactly when to get us
to relax, to calm down and then

1506
01:09:13,200 --> 01:09:15,200
forget about it.
And then next week, I can

1507
01:09:15,200 --> 01:09:17,800
promise you come back.
Yeah.

1508
01:09:17,800 --> 01:09:19,479
Yeah, yeah, yeah.
So I mean it.

1509
01:09:19,479 --> 01:09:20,720
It's all right.
But, you know, like I I

1510
01:09:20,720 --> 01:09:23,080
honestly, I hope.
I hope more S Africans, You

1511
01:09:23,080 --> 01:09:24,920
know, I don't know where your
audience is, but like I do have

1512
01:09:24,920 --> 01:09:27,399
most S Africans read the book
and I hope that they're, you

1513
01:09:27,399 --> 01:09:30,479
know, inspired and they and
really why I wrote this.

1514
01:09:31,600 --> 01:09:32,720
You know.
So there's a couple reasons.

1515
01:09:32,720 --> 01:09:34,840
So, you know, people say don't
write a book if you feel like

1516
01:09:34,840 --> 01:09:37,080
should write a book or you
certainly don't write to make

1517
01:09:37,080 --> 01:09:38,840
money.
You know, like it's just not

1518
01:09:38,840 --> 01:09:39,760
that.
You know, it's not a good use of

1519
01:09:39,760 --> 01:09:41,960
your time writing.
What is bursting out of you?

1520
01:09:41,960 --> 01:09:43,319
Like, you can't not write the
book.

1521
01:09:43,840 --> 01:09:45,840
And that's how I felt.
I was bursting out of me for a

1522
01:09:45,840 --> 01:09:49,240
couple of reasons.
One is like, I felt like we were

1523
01:09:49,240 --> 01:09:50,960
at this point and people really
ought to know.

1524
01:09:51,080 --> 01:09:53,319
But the second reason is that
people ought to know because

1525
01:09:53,319 --> 01:09:56,720
problems we face do have new
ways of looking at them.

1526
01:09:57,200 --> 01:09:59,120
And I'm not saying that the book
is filled with all of the

1527
01:09:59,120 --> 01:10:01,680
solutions, right?
Like, I do cover a lot of

1528
01:10:01,680 --> 01:10:03,520
ground.
And I don't mind being wrong.

1529
01:10:03,520 --> 01:10:05,320
Like, I don't mind people saying
to me is, here's why that's not

1530
01:10:05,320 --> 01:10:07,840
going to work.
But what I do want people to

1531
01:10:07,840 --> 01:10:09,600
realize is we have a theory of
human behavior.

1532
01:10:09,600 --> 01:10:12,840
We have a theory of everyone.
We have, we have some, a much

1533
01:10:12,840 --> 01:10:15,280
better understanding of
political processes than you

1534
01:10:15,280 --> 01:10:18,680
might imagine, of of of the
evolutionary processes that lead

1535
01:10:18,680 --> 01:10:21,320
to successful companies and that
lead to successful countries

1536
01:10:21,680 --> 01:10:25,120
that you can implement, right.
You know what it's like on the

1537
01:10:25,120 --> 01:10:26,920
ground.
And so I I will not only just be

1538
01:10:26,920 --> 01:10:30,800
inspired inspiration is fine,
but also have a tool kit that

1539
01:10:30,800 --> 01:10:33,200
you can say, OK, let me look at
my problem.

1540
01:10:33,200 --> 01:10:36,640
This is where the levers are and
if I were to get together

1541
01:10:36,920 --> 01:10:40,320
because you know the the book
ends with the power of a simple

1542
01:10:40,320 --> 01:10:43,520
idea and the way that it can
change society you know and and

1543
01:10:43,520 --> 01:10:45,920
and the example that I use is
like we hold these truths to be

1544
01:10:45,920 --> 01:10:47,880
self-evident that all men are
created equal.

1545
01:10:48,760 --> 01:10:51,440
You know that was written at a
time when the first dozen

1546
01:10:51,440 --> 01:10:55,040
presidents all had slaves except
for John Quincy Adams and his

1547
01:10:55,040 --> 01:10:57,240
son.
You know like because Quakers

1548
01:10:58,080 --> 01:11:01,200
and and they Christians at least
you know and and so you know

1549
01:11:01,200 --> 01:11:04,680
they didn't they they didn't but
everyone else did like clearly

1550
01:11:04,680 --> 01:11:07,560
it wasn't it wasn't practiced as
it was written.

1551
01:11:08,200 --> 01:11:11,760
But you know those are the those
are the words that were used by

1552
01:11:12,000 --> 01:11:14,480
the suffragists who said you
know we hold these truths to be

1553
01:11:14,480 --> 01:11:16,800
so that all men and women are
created equal.

1554
01:11:17,000 --> 01:11:20,320
You know because once we'd
agreed on that that idea and we

1555
01:11:20,320 --> 01:11:22,280
had the mechanisms doing that
you could push forward.

1556
01:11:22,280 --> 01:11:25,560
You can push further you know we
hold these you know this is what

1557
01:11:25,840 --> 01:11:28,440
Luther King junior you know said
on the on the Lincoln Memorial

1558
01:11:28,440 --> 01:11:31,400
the steps of Lincoln Memorial.
You know we that I'm calling on

1559
01:11:31,400 --> 01:11:35,280
America to live out live out its
ideals that all men are created

1560
01:11:35,280 --> 01:11:38,920
equal.
You know in this country.

1561
01:11:38,920 --> 01:11:41,680
You know when it moved from from
the world's largest empire to a

1562
01:11:41,760 --> 01:11:44,160
social welfare state, it was, it
was the IT was the power of a

1563
01:11:44,640 --> 01:11:46,320
well resourced small group of
people.

1564
01:11:46,320 --> 01:11:50,320
The Fabians.
You know the end of the end the

1565
01:11:50,320 --> 01:11:53,440
end of of of most slavery.
Of course it's still slavery

1566
01:11:53,480 --> 01:11:55,400
today, but not the way it was
practiced right.

1567
01:11:55,640 --> 01:12:02,280
Slavery used to be
unobjectionable obvious the idea

1568
01:12:02,280 --> 01:12:04,920
that we could hold like I know
it seems crazy today because

1569
01:12:04,920 --> 01:12:07,520
again our software has changed
but like the idea that you could

1570
01:12:07,520 --> 01:12:09,520
own another person.
Like if you look at the the the

1571
01:12:09,680 --> 01:12:12,560
major world religions they don't
tell you don't have slaves.

1572
01:12:12,800 --> 01:12:14,920
They tell you how to treat them
right.

1573
01:12:15,280 --> 01:12:16,920
They tell you how to treat
slaves.

1574
01:12:16,920 --> 01:12:18,320
Right.
Like the assumption is of course

1575
01:12:18,320 --> 01:12:21,840
you can own another human of
course you know but now it's

1576
01:12:21,960 --> 01:12:24,720
it's it's unimaginable.
You know it's it's objectionable

1577
01:12:24,960 --> 01:12:27,520
like even you know like even the
the place of practice if

1578
01:12:27,520 --> 01:12:28,960
everyone agrees that's a bad
thing.

1579
01:12:29,120 --> 01:12:31,600
We shouldn't be having slaves or
we should squash that.

1580
01:12:31,880 --> 01:12:33,400
That's a major moral
achievement.

1581
01:12:33,560 --> 01:12:35,720
One of the greatest.
And it was launched by a small

1582
01:12:35,720 --> 01:12:38,640
group of Quakers that the
enslaved themselves working

1583
01:12:38,640 --> 01:12:42,080
together through this idea.
It cost the the British economy

1584
01:12:42,080 --> 01:12:47,360
a pile of money to pay back
slavers, not the enslaved, which

1585
01:12:47,360 --> 01:12:52,520
leads to, you know, to to a lot
of arguments about about how to

1586
01:12:52,520 --> 01:12:56,920
pay that back.
But it was a simple like held by

1587
01:12:56,920 --> 01:12:58,480
a group of people and I, and
that's just what I hope in the

1588
01:12:58,480 --> 01:13:00,040
book, right?
It's not just the ideas but the

1589
01:13:00,040 --> 01:13:02,400
tools by which you could change
your world.

1590
01:13:03,240 --> 01:13:07,480
You, the world was created by
people no smarter than you and

1591
01:13:07,480 --> 01:13:10,320
honestly, not as smart as you,
because we have all gotten

1592
01:13:10,320 --> 01:13:11,440
smarter.
It's called the Flint effect,

1593
01:13:11,440 --> 01:13:12,560
right?
We have literally all gotten

1594
01:13:12,560 --> 01:13:14,360
cleverer.
You might think when you look

1595
01:13:14,360 --> 01:13:16,000
back to the past, that it was a
world of geniuses.

1596
01:13:16,000 --> 01:13:17,560
It wasn't.
It was just that there were

1597
01:13:17,560 --> 01:13:19,600
fewer educated people, so a few
people stood out.

1598
01:13:20,000 --> 01:13:22,320
We live in a world of geniuses
all around us.

1599
01:13:22,320 --> 01:13:25,000
They're podcasters, You know,
they're they're doing all kinds

1600
01:13:25,000 --> 01:13:28,600
of things, all the time, right?
The world was created by people

1601
01:13:28,600 --> 01:13:31,840
no smarter than you, and change
is possible.

1602
01:13:32,240 --> 01:13:36,400
You, together with a group of
other people cooperating, can

1603
01:13:36,560 --> 01:13:38,960
actually change the world,
because that is how change it's

1604
01:13:38,960 --> 01:13:42,000
always happened.
And the first step is to say I

1605
01:13:42,000 --> 01:13:45,400
actually can if you and if the
more you look, the more you

1606
01:13:45,400 --> 01:13:48,080
realize that it was ordinary
people called on to do

1607
01:13:48,080 --> 01:13:51,560
extraordinary things.
Yeah, it's it's pretty poetic.

1608
01:13:51,560 --> 01:13:54,800
I mean, it's very beautiful.
Sorry, Michael, if at any point

1609
01:13:54,800 --> 01:13:57,080
if I can't, my nose is very
congested.

1610
01:13:57,080 --> 01:14:00,080
I was in hospital recently.
I had a serious bout of COVID.

1611
01:14:00,240 --> 01:14:02,840
Oh, I'm sorry.
So I have no.

1612
01:14:02,960 --> 01:14:05,600
So I sometimes can't really hear
myself so well.

1613
01:14:05,600 --> 01:14:06,760
So if I am shanting, I don't
know.

1614
01:14:06,760 --> 01:14:09,280
If I am, apologize about that.
You're not.

1615
01:14:09,280 --> 01:14:11,000
You're not, you're not.
And thank you for doing this

1616
01:14:11,000 --> 01:14:13,400
podcast regardless of your
health condition at the moment.

1617
01:14:13,840 --> 01:14:15,320
I had AI had a bit of a scare, I
thought.

1618
01:14:15,400 --> 01:14:17,480
I thought I was going to have a
heart attack, but I think it was

1619
01:14:17,480 --> 01:14:19,680
an anxiety attack.
Andrew Rushy was.

1620
01:14:20,560 --> 01:14:23,400
I work at the medical practice
literally drove myself to the

1621
01:14:23,400 --> 01:14:26,280
hospital next door, got checked
up with my friend and I came

1622
01:14:26,600 --> 01:14:30,080
back to work.
It was a pretty ridiculous scare

1623
01:14:30,320 --> 01:14:34,120
but the I'm just thinking about
the progress and the innovation

1624
01:14:34,120 --> 01:14:37,320
that everything that we've
reached at this point and how

1625
01:14:37,320 --> 01:14:40,800
far we've your optimism.
I share it and I think.

1626
01:14:41,400 --> 01:14:44,040
But as a child, I thought that I
was very negative about it.

1627
01:14:44,080 --> 01:14:46,040
And I mean there there was this
pessimism because you start to

1628
01:14:46,040 --> 01:14:48,200
see the way things are going.
And I think from a South African

1629
01:14:48,200 --> 01:14:50,320
perspective that probably
influenced me a little bit.

1630
01:14:50,600 --> 01:14:54,560
But it's very easy to see how
you can take the information you

1631
01:14:54,560 --> 01:14:58,000
have and make such a positive
picture from it.

1632
01:14:58,400 --> 01:15:02,960
Do you think that more people
will be able to do that based on

1633
01:15:04,040 --> 01:15:06,560
often reading a book, you think
that it creates this positive?

1634
01:15:07,000 --> 01:15:10,080
Yeah.
Hey look, let let me let let me

1635
01:15:10,080 --> 01:15:12,840
be clear.
I'm actually not optimistic in

1636
01:15:12,840 --> 01:15:16,280
the sense that I, I don't
believe that it is inevitable

1637
01:15:17,200 --> 01:15:21,600
that the world that our children
and grandchildren inherit is

1638
01:15:21,600 --> 01:15:23,960
going to be better than the
world that you and I grew up in.

1639
01:15:24,280 --> 01:15:28,400
I don't believe that at all.
But what I do believe is that we

1640
01:15:28,440 --> 01:15:33,800
have at the moment the current
energy levels because you know

1641
01:15:33,800 --> 01:15:36,320
like it's harder when the more
you fall the the, the more

1642
01:15:36,320 --> 01:15:39,200
difficult it is to invest in
these long term like nuclear

1643
01:15:39,200 --> 01:15:41,200
power plants that don't pay for
themselves, you know for a few

1644
01:15:41,200 --> 01:15:43,160
years or even with older grids
or whatever.

1645
01:15:43,200 --> 01:15:46,720
You know to invest in that
requires a kind of a long term

1646
01:15:46,720 --> 01:15:48,720
thinking.
And at the moment we have

1647
01:15:48,720 --> 01:15:53,200
sufficient scales of cooperation
and sufficient technologies in

1648
01:15:53,200 --> 01:15:56,480
the you know like small modular
reactors, micro reactors.

1649
01:15:56,960 --> 01:16:00,200
You know fusion is a, you know,
I know it's always between

1650
01:16:00,200 --> 01:16:02,680
Monday and 30 years from now.
But you know like we have a

1651
01:16:02,680 --> 01:16:05,080
start up system around that you
know we have new possibilities

1652
01:16:05,080 --> 01:16:07,640
and we should be pushing on that
because the fusion reactor in

1653
01:16:07,640 --> 01:16:10,440
the sky and fusion on Earth
would would make us the first

1654
01:16:10,440 --> 01:16:12,320
generation of a galactic
civilization, right.

1655
01:16:13,240 --> 01:16:15,160
It it would be that level of
energy control.

1656
01:16:15,920 --> 01:16:18,840
But what I what I do believe is
not that the world is inevitably

1657
01:16:18,840 --> 01:16:21,120
going to be better.
I don't believe that at all.

1658
01:16:21,840 --> 01:16:26,280
But I do believe that the world
we have, the capacity, the

1659
01:16:26,280 --> 01:16:30,200
knowledge, the energy, the
cooperation too, if we so

1660
01:16:30,200 --> 01:16:35,400
choose, leave a better world for
our children, grandchildren, all

1661
01:16:35,560 --> 01:16:38,080
sapiens to follow.
That is what I believe in.

1662
01:16:38,080 --> 01:16:39,920
So yeah.
So sorry, man.

1663
01:16:40,120 --> 01:16:43,040
Continue.
No, I I was just going to say

1664
01:16:43,040 --> 01:16:45,600
and what I what I what I hope
the book gives people is how to

1665
01:16:45,600 --> 01:16:47,760
get there.
You know, it's a road map, a

1666
01:16:47,760 --> 01:16:49,160
blueprint.
You know, I think that's, you

1667
01:16:49,160 --> 01:16:50,960
know, I think the publishers
wrote, you know, they called it

1668
01:16:50,960 --> 01:16:52,520
like a blueprint for a better
future.

1669
01:16:52,520 --> 01:16:53,720
And I like that.
I didn't come up with that.

1670
01:16:53,800 --> 01:16:54,760
You know, I liked it.
Yeah, I.

1671
01:16:55,040 --> 01:16:58,200
Mean you can't see it that way.
Do you think that it's important

1672
01:16:58,200 --> 01:17:00,760
for us to have a Plan B?
So I'm sort of getting onto

1673
01:17:00,760 --> 01:17:03,840
another planet, getting out of
here maybe.

1674
01:17:03,840 --> 01:17:06,440
I don't think that's a plan.
BI think that should be.

1675
01:17:06,440 --> 01:17:09,200
That's the plan a like, you
know, like I think that the, you

1676
01:17:09,200 --> 01:17:11,120
know, look, we are a migratory
species, right?

1677
01:17:11,440 --> 01:17:15,480
Like the story of humanity is
migration, right?

1678
01:17:15,480 --> 01:17:19,040
Like we, you know, we evolved in
Africa, which still has the most

1679
01:17:19,040 --> 01:17:21,160
amount of genetic diversity in
the world.

1680
01:17:21,480 --> 01:17:23,640
You know, this is humanity's
like origins.

1681
01:17:24,120 --> 01:17:26,880
And we marched across the globe,
you know, we stood up, literally

1682
01:17:26,880 --> 01:17:30,600
stood up, and we walked across
the globe and met other human

1683
01:17:30,600 --> 01:17:33,080
groups that had been there
before, the Neanderthals, the

1684
01:17:33,080 --> 01:17:37,640
Denisovans, you know, And we, we
did what humans always do when

1685
01:17:37,640 --> 01:17:40,080
they meet other groups.
We cooperated.

1686
01:17:40,440 --> 01:17:43,800
We mated.
We came into conflict, you know,

1687
01:17:43,880 --> 01:17:46,920
like violently, you know, and
like and and not violently,

1688
01:17:46,920 --> 01:17:48,440
right?
Like, you know, I think, I think

1689
01:17:48,440 --> 01:17:55,440
one of the messages in this book
is that there have been past

1690
01:17:55,440 --> 01:18:01,760
injustices, but the world is the
story of our species as humans

1691
01:18:01,760 --> 01:18:05,160
being dixed to each other and
being good to each other, right?

1692
01:18:05,600 --> 01:18:08,920
Like, no, no particular group
has a monopoly on that.

1693
01:18:08,920 --> 01:18:12,280
Europe was able to do it at an
unprecedented scale because

1694
01:18:12,280 --> 01:18:15,360
Eurasia had a larger collective
brain and the cheap and

1695
01:18:15,360 --> 01:18:17,720
available coal in England.
And later, you know, the

1696
01:18:17,720 --> 01:18:21,200
industrialization of Europe led
to an unprecedented scale

1697
01:18:21,200 --> 01:18:23,040
ability of what humans have
always done.

1698
01:18:24,480 --> 01:18:28,960
And the land that we live on,
right, doesn't necessarily

1699
01:18:28,960 --> 01:18:31,040
build, you know, like we fight
over the land and we talk about

1700
01:18:31,040 --> 01:18:33,680
like who the people are.
And the ancient DNA now tells us

1701
01:18:33,880 --> 01:18:36,720
that the stories that we tell
aren't always true.

1702
01:18:36,720 --> 01:18:37,760
Right.
You know, so people will say,

1703
01:18:37,760 --> 01:18:39,880
you know, our people have been
on here for 50,000 years.

1704
01:18:39,880 --> 01:18:42,080
And then you look at the ancient
DNA, turned out they got here

1705
01:18:42,080 --> 01:18:45,080
5000 years ago and they
violently displaced all the

1706
01:18:45,080 --> 01:18:46,880
males and took the females.
Right.

1707
01:18:46,880 --> 01:18:49,640
We see the end of the Y lineage
and and the continuation of the

1708
01:18:49,640 --> 01:18:53,200
X or they replaced everybody.
Right.

1709
01:18:53,480 --> 01:18:56,200
So you want to talk about like,
who are the indigenous people of

1710
01:18:56,200 --> 01:18:58,360
a particular, you know, what
about the Bantu migration?

1711
01:18:58,360 --> 01:19:01,320
You know, like all the way from,
you know, South Central Africa

1712
01:19:01,320 --> 01:19:05,000
downward, You know there were
past injustices.

1713
01:19:05,760 --> 01:19:08,960
But what we want to do is to use
present circumstance to create a

1714
01:19:08,960 --> 01:19:13,120
better future rather than try to
repatriate.

1715
01:19:13,120 --> 01:19:17,600
Or you know, you can't, you
can't change that, right?

1716
01:19:17,760 --> 01:19:20,040
But what you can do is create a
level playing field for the

1717
01:19:20,040 --> 01:19:21,960
future.
Yeah, I must feel it's almost

1718
01:19:22,520 --> 01:19:26,400
impossible to to have a negative
attitude to other people when

1719
01:19:26,400 --> 01:19:30,560
you, when you understand the
real basis of our, it's so

1720
01:19:30,560 --> 01:19:32,120
difficult.
I mean, when someone says you're

1721
01:19:32,120 --> 01:19:34,400
not really from you, I mean
we're all from you, it's you

1722
01:19:34,400 --> 01:19:37,120
can't really say.
At any point because we

1723
01:19:37,120 --> 01:19:37,960
literally that's.
Right.

1724
01:19:38,080 --> 01:19:40,640
Same speed.
We've come from a same genetic

1725
01:19:40,640 --> 01:19:42,520
tree.
We're a very small species.

1726
01:19:42,520 --> 01:19:44,960
In fact, like genetically, you
know, like as I say in the book,

1727
01:19:44,960 --> 01:19:48,800
like especially if you're erased
the, you know, the distance,

1728
01:19:48,840 --> 01:19:51,600
like the genetic gap between
someone from Berlin and Beijing

1729
01:19:51,600 --> 01:19:54,320
is smaller than the gap between
2 chimpanzees in the Congo,

1730
01:19:54,920 --> 01:19:56,320
right.
Because, you know, because of

1731
01:19:56,320 --> 01:19:58,320
the human migration, you didn't
take the full genetic pool with

1732
01:19:58,320 --> 01:19:59,840
you.
So you get smaller and smaller

1733
01:19:59,840 --> 01:20:02,000
genetic variation as you move
further and further from Africa.

1734
01:20:02,280 --> 01:20:05,760
There's even smaller variation
in, you know, central s s and

1735
01:20:05,840 --> 01:20:08,200
Norfolk, right, in in the
indigenous populations there.

1736
01:20:08,640 --> 01:20:09,880
But my point is that you're
right.

1737
01:20:09,880 --> 01:20:12,680
Like we are humans and although
there may not be a human nature,

1738
01:20:12,680 --> 01:20:15,240
we are all capable of great
achievements and great

1739
01:20:15,240 --> 01:20:17,240
atrocities.
And I think when you start to

1740
01:20:17,240 --> 01:20:21,200
see that you know you, it just
makes the makes, the kind of

1741
01:20:21,200 --> 01:20:22,960
infighting that we currently see
so small.

1742
01:20:23,600 --> 01:20:28,000
No and and and and often clearly
a a, a power grab you know but

1743
01:20:28,000 --> 01:20:31,560
what we do need are levelling
mechanisms like an ideal world

1744
01:20:31,560 --> 01:20:36,480
is one in which we take the best
of each generation they are that

1745
01:20:36,480 --> 01:20:41,600
opportunity is available to more
and we we give each generation

1746
01:20:41,600 --> 01:20:45,560
the opportunity to either push
forward our species or to invest

1747
01:20:45,560 --> 01:20:47,320
in those who will push forward
our species.

1748
01:20:48,360 --> 01:20:49,880
And we we try our best to level
it.

1749
01:20:49,880 --> 01:20:52,840
You know inheritance taxes are
are a good way to do that but

1750
01:20:52,840 --> 01:20:55,400
they're challenging.
One major way you know I

1751
01:20:55,400 --> 01:20:59,320
advocate in the book various
ways is land value taxes unlike

1752
01:20:59,560 --> 01:21:04,120
other asset that we can own
right like patents companies

1753
01:21:04,560 --> 01:21:07,840
anything really.
We did not create the land.

1754
01:21:08,120 --> 01:21:11,040
We created what's on top of the
land, but we did not create the

1755
01:21:11,040 --> 01:21:12,080
land.
Not.

1756
01:21:12,080 --> 01:21:14,280
I'm not like a particularly
socialist person who's like, oh,

1757
01:21:14,280 --> 01:21:15,480
you should all own the land or
whatever.

1758
01:21:15,480 --> 01:21:17,920
But if you control a piece of
land, you should not be able to

1759
01:21:17,920 --> 01:21:20,320
control for thousands of years
as many people do.

1760
01:21:20,560 --> 01:21:24,800
You should pay a tax to control
that land based on its value.

1761
01:21:25,200 --> 01:21:28,200
And the value of a land is not
created just by the buildings

1762
01:21:28,200 --> 01:21:31,160
you put on it, but what other
people put around it, Right?

1763
01:21:31,160 --> 01:21:36,000
We add value to land.
And The thing is, what does, you

1764
01:21:36,000 --> 01:21:37,240
know?
And you there's there's pathways

1765
01:21:37,240 --> 01:21:39,560
to get there to 'cause people
reallocate there.

1766
01:21:39,640 --> 01:21:42,160
You know, I own land you, you
know people own land, right?

1767
01:21:42,440 --> 01:21:44,720
But you want to encourage people
because because it's a good

1768
01:21:44,720 --> 01:21:47,360
investment, but you want to
encourage people to move to

1769
01:21:47,440 --> 01:21:51,480
productive investments like
companies or patents or

1770
01:21:51,480 --> 01:21:55,520
whatever, things that produce,
not things that just hold value,

1771
01:21:55,680 --> 01:21:57,880
right.
And when you do that, you create

1772
01:21:57,880 --> 01:22:00,120
it, You naturally create a more
level playing field.

1773
01:22:00,120 --> 01:22:02,600
And also you can get rid of
inherited, you can sorry, you

1774
01:22:02,600 --> 01:22:04,440
can get rid of income tax and
sales tax.

1775
01:22:04,840 --> 01:22:06,400
You know all of these taxes by
the way are fairly new.

1776
01:22:06,400 --> 01:22:09,200
So in the United States people
don't realize this, but like in

1777
01:22:09,200 --> 01:22:13,840
income taxes was in in 1913,
right, sales tax, you know and

1778
01:22:13,840 --> 01:22:16,760
and and and capital gains tax as
well, right.

1779
01:22:16,760 --> 01:22:19,840
Sales tax was in 1927, I think
somewhere around there, right.

1780
01:22:20,880 --> 01:22:22,920
These are new taxes.
And when they were implemented,

1781
01:22:22,920 --> 01:22:26,480
by the way, it was one percent,
1% in, in modern terms, it was

1782
01:22:26,480 --> 01:22:30,240
1% up to about 100,000.
And the maximum tax rate was 7%.

1783
01:22:31,120 --> 01:22:31,840
Yeah.
And.

1784
01:22:31,840 --> 01:22:34,440
And it was, oh, you know, in in
in mock, I guess maybe about 10

1785
01:22:34,440 --> 01:22:37,280
million or something, right.
That's great.

1786
01:22:37,480 --> 01:22:40,680
Like we didn't survive without
those taxes, right?

1787
01:22:41,400 --> 01:22:44,320
You tax if you tax the land and
you replace, you get rid of

1788
01:22:44,320 --> 01:22:47,240
income tax, get rid of sales
tax, get rid of capital gains

1789
01:22:47,240 --> 01:22:50,680
tax, Right.
Tax things that are unproductive

1790
01:22:50,680 --> 01:22:53,640
rent seeking, where people are
just holding on to value but not

1791
01:22:53,640 --> 01:22:57,200
contributing to society.
That will naturally create a

1792
01:22:57,200 --> 01:23:01,040
levelled playing field over time
because it doesn't require

1793
01:23:01,040 --> 01:23:02,520
reallocation.
It doesn't require to think

1794
01:23:02,520 --> 01:23:04,880
about the color of your skin.
It doesn't require any of that.

1795
01:23:05,640 --> 01:23:06,800
You know it.
It requires.

1796
01:23:06,800 --> 01:23:09,160
It just says, hey, look, if you
want to take some land, then we

1797
01:23:09,640 --> 01:23:11,720
and it.
It incentivizes people to

1798
01:23:11,720 --> 01:23:14,800
maximally use that land.
If you're just holding it, just

1799
01:23:14,800 --> 01:23:17,880
not doing anything with it,
you're going to lose it because

1800
01:23:17,880 --> 01:23:19,800
you can't pay those taxes.
That's right.

1801
01:23:19,800 --> 01:23:22,960
If you're not continuing to,
it's the, you know, and by the

1802
01:23:22,960 --> 01:23:25,200
way, if you look at it's the one
tax that, you know, economists

1803
01:23:25,200 --> 01:23:27,680
across the political spectrum
agree is a better tax.

1804
01:23:27,680 --> 01:23:29,400
It's just the middle class own
land.

1805
01:23:29,400 --> 01:23:32,800
And they just don't realize how
little land they own relative to

1806
01:23:32,800 --> 01:23:35,720
the elite and how much more they
would have if you if you got rid

1807
01:23:35,720 --> 01:23:38,640
of their income tax and their
sales tax and their capital

1808
01:23:38,640 --> 01:23:40,960
gains tax and just say, hey,
look, we're going to tax this at

1809
01:23:40,960 --> 01:23:44,680
at like a rate 6 percent, 3%.
And you can pay for everything,

1810
01:23:44,880 --> 01:23:47,320
you know.
And oh, and it also other

1811
01:23:47,320 --> 01:23:49,000
advantages, right?
Like you can't, you know, so a

1812
01:23:49,000 --> 01:23:50,960
lot of a lot of the problems
with inheritance tax and wealth

1813
01:23:50,960 --> 01:23:52,680
taxes, it flees.
Right.

1814
01:23:52,680 --> 01:23:56,000
Like people take money and they
go, but you can't take the.

1815
01:23:56,200 --> 01:23:59,720
You can't take the land.
The land can't move Bahamas.

1816
01:24:00,360 --> 01:24:03,360
You know, the land can't move to
the Cayman Islands or to

1817
01:24:03,360 --> 01:24:06,600
Switzerland.
And so you know as a result of

1818
01:24:06,600 --> 01:24:09,600
that it's it's inescapable.
But there are these solutions

1819
01:24:09,600 --> 01:24:12,800
you know that that that are that
are that are present if if we so

1820
01:24:12,800 --> 01:24:15,160
choose.
Yeah, yeah, You'd be someone

1821
01:24:15,160 --> 01:24:16,800
nice to borrow to for South
Africa.

1822
01:24:16,800 --> 01:24:19,360
You should come back sometime
and just you should give some.

1823
01:24:19,680 --> 01:24:24,840
I think we need to know if I
would look if I was convinced

1824
01:24:24,840 --> 01:24:28,640
that there were serious people
there who were going to use this

1825
01:24:29,080 --> 01:24:33,160
for good, I'd do a pro bono.
I would.

1826
01:24:33,160 --> 01:24:35,600
I would come along and tell you
like I would do my best and I

1827
01:24:35,600 --> 01:24:38,400
would, I would hook you up with
like the people at at the LSC or

1828
01:24:38,400 --> 01:24:39,960
whatever.
Like, you know, what you need is

1829
01:24:39,960 --> 01:24:42,720
the people who are serious about
this and who are working

1830
01:24:42,720 --> 01:24:44,640
together and they're
sufficiently resource and they

1831
01:24:44,720 --> 01:24:46,640
they deeply care about their
country to the point where it's

1832
01:24:46,640 --> 01:24:49,280
like it's not just about me.
You need the, you need the

1833
01:24:49,280 --> 01:24:52,200
Mandela who's willing to step
down to leave the place, but

1834
01:24:52,200 --> 01:24:56,920
then leave the institutions and
leave it in hands that are, you

1835
01:24:56,920 --> 01:25:01,360
know, we should be ruled by
principles and not people.

1836
01:25:02,080 --> 01:25:05,560
We should be ruled by laws and
not Lords, right?

1837
01:25:05,560 --> 01:25:07,040
And so it's not about the
person.

1838
01:25:07,040 --> 01:25:09,040
It's about the culture, It's
about the institutions, It's

1839
01:25:09,040 --> 01:25:12,520
about the enforcement of the
rules that you know, that are

1840
01:25:12,520 --> 01:25:16,240
good, that are not self-serving.
Michael, this is such a

1841
01:25:16,240 --> 01:25:18,240
fascinating Chad.
I mean it's it's it's slightly

1842
01:25:18,240 --> 01:25:20,280
different from the usual
conversations because I usually

1843
01:25:20,280 --> 01:25:22,680
try and tailor them around the
mind body problem or.

1844
01:25:23,320 --> 01:25:25,240
Philosophical.
I'm happy to go there too.

1845
01:25:25,240 --> 01:25:28,160
We can do anything you want.
But I think it's so important as

1846
01:25:28,160 --> 01:25:30,720
well, because in trying to
understand the nature of mine,

1847
01:25:31,080 --> 01:25:33,880
you, you can't not understand
the fundamental nature of us,

1848
01:25:33,880 --> 01:25:36,600
because this is what it's all
about, as you said.

1849
01:25:36,600 --> 01:25:39,400
I mean, the physicist might want
to talk about the fundamental

1850
01:25:39,400 --> 01:25:41,600
nature of things, your brother
might want to talk about that.

1851
01:25:41,600 --> 01:25:45,280
But why do we want to talk about
that is exactly.

1852
01:25:46,360 --> 01:25:49,880
Yeah, Philosophically.
Anything in your mind about the

1853
01:25:49,880 --> 01:25:52,880
nature of human, the human
nature that really fascinates

1854
01:25:52,880 --> 01:25:55,440
you, that you don't often talk
about, that you feel that you'd

1855
01:25:55,440 --> 01:25:59,640
like to share?
I don't know.

1856
01:25:59,640 --> 01:26:02,920
I mean, you know, I mean I I
think, I think it's important to

1857
01:26:02,920 --> 01:26:05,160
recognize that, you know, there
are the, as I said, we're an

1858
01:26:05,160 --> 01:26:06,960
animal.
We have common things like, you

1859
01:26:06,960 --> 01:26:10,200
know, but a lot of human nature
is nurtured and of course how we

1860
01:26:10,200 --> 01:26:13,240
nurture is nature, right?
Like, you know, this whole like

1861
01:26:13,240 --> 01:26:15,840
nature versus nurture idea,
it's, it's over.

1862
01:26:15,840 --> 01:26:19,600
Like we now know it's about
sensible as saying which leg do

1863
01:26:19,600 --> 01:26:21,280
we walk with, the left or the
right leg.

1864
01:26:21,680 --> 01:26:25,280
You know, like obviously, like
for humans at least these are

1865
01:26:25,280 --> 01:26:29,200
deeply entwined and inextricably
so you can't separate them,

1866
01:26:29,400 --> 01:26:31,640
right.
And that's this itself has some

1867
01:26:31,640 --> 01:26:33,120
interesting and important
implications.

1868
01:26:33,120 --> 01:26:36,280
So, you know, if you want to,
there's an entire chapter on

1869
01:26:36,280 --> 01:26:38,680
becoming brighter, both as
individual and as a as a

1870
01:26:38,680 --> 01:26:41,080
society, right?
Like if it's in your software,

1871
01:26:41,080 --> 01:26:43,440
you can get better software.
You can become more creative by

1872
01:26:43,440 --> 01:26:46,440
tailoring your information
architecture and who you listen

1873
01:26:46,440 --> 01:26:47,960
to.
You don't have to leave it to

1874
01:26:47,960 --> 01:26:49,640
algorithms to decide what to
show you.

1875
01:26:50,160 --> 01:26:52,840
You can be directed in in, you
know, like the Internet, for

1876
01:26:52,840 --> 01:26:54,920
example, right?
It is enabled for the first time

1877
01:26:55,320 --> 01:26:57,400
you to listen in on
conversations you never had

1878
01:26:57,400 --> 01:26:59,680
access to.
You can join the Discord

1879
01:26:59,680 --> 01:27:02,160
channels, the subreddits, the
the forums.

1880
01:27:02,160 --> 01:27:04,000
You can you want to go listen to
white supremacists?

1881
01:27:04,000 --> 01:27:06,800
Go listen.
You want to listen to, you know,

1882
01:27:07,480 --> 01:27:10,480
Islamic groups or Jewish groups
or feminists or men's rights

1883
01:27:10,480 --> 01:27:11,640
activists.
You want to hear what they

1884
01:27:11,640 --> 01:27:14,480
really do to each other.
Go listen right.

1885
01:27:14,960 --> 01:27:16,920
And so you can tailor your
information environment.

1886
01:27:16,920 --> 01:27:18,880
You can tailor it in terms of
the people you interact with.

1887
01:27:18,880 --> 01:27:20,480
You already simulate your
friends.

1888
01:27:20,960 --> 01:27:24,000
You know what they think, right?
Look at your weak links.

1889
01:27:24,240 --> 01:27:26,960
And you know that person from
University College and the

1890
01:27:26,960 --> 01:27:29,800
person from high school that you
lost track of, you know, and

1891
01:27:29,800 --> 01:27:31,960
like now they run a business
like go look at them on

1892
01:27:31,960 --> 01:27:33,800
LinkedIn, them on Facebook, see
what they're posting.

1893
01:27:34,400 --> 01:27:36,360
Right.
And more than that, the people

1894
01:27:36,360 --> 01:27:38,840
you disagree with, the people
you would never friends, the

1895
01:27:38,840 --> 01:27:41,920
people that you're your enemies,
that's who you really learn

1896
01:27:41,920 --> 01:27:43,880
from.
The smartest people who have

1897
01:27:43,880 --> 01:27:47,120
opposing ideas to you are the
people you really have the

1898
01:27:47,120 --> 01:27:50,800
ability to learn from.
And when we do that in a spirit

1899
01:27:50,800 --> 01:27:54,880
of truth seeking, right, not in
arguments, but to arrive at the

1900
01:27:54,880 --> 01:27:57,440
truth, then we don't straw man
arguments.

1901
01:27:57,440 --> 01:28:01,480
We steal man them.
You know, we we, we, we.

1902
01:28:01,520 --> 01:28:03,600
Not everyone is good at
presenting their own argument.

1903
01:28:03,600 --> 01:28:06,000
But if you care about the truth,
you will help the other person

1904
01:28:06,000 --> 01:28:09,400
present the best version of
their argument so that you can

1905
01:28:09,400 --> 01:28:12,400
then together arrive at the
truth, right.

1906
01:28:12,760 --> 01:28:14,720
And that's a very different
attitude and a very different

1907
01:28:14,720 --> 01:28:17,920
kind of approach.
It is predicated on a, a, a

1908
01:28:17,920 --> 01:28:21,400
respect for reality.
You know this idea that actually

1909
01:28:21,400 --> 01:28:24,960
I don't.
I'm not trying to to win score

1910
01:28:24,960 --> 01:28:27,640
points with you, right or or
against you.

1911
01:28:27,640 --> 01:28:29,280
I'm trying to score points with
you, if you like.

1912
01:28:29,280 --> 01:28:31,000
You know, I'm trying to score.
I'm trying to figure out the

1913
01:28:31,280 --> 01:28:35,560
what is a confusing, chaotic and
difficult to understand world

1914
01:28:36,160 --> 01:28:38,600
and unclear, you know, requires
a bit of intellectual humility

1915
01:28:38,600 --> 01:28:40,240
to say it's unclear what the
next path is.

1916
01:28:40,240 --> 01:28:42,640
Here's some suggestions.
Now let's knock it down together

1917
01:28:42,640 --> 01:28:44,320
and let's build it up together
and let's figure this out

1918
01:28:44,320 --> 01:28:47,440
together.
You know when, when companies do

1919
01:28:47,440 --> 01:28:49,240
that, when they create positive
some environments where

1920
01:28:49,240 --> 01:28:51,520
everybody wins, when we win,
right.

1921
01:28:51,960 --> 01:28:55,640
When countries do that, when any
organization does that, that is

1922
01:28:55,640 --> 01:28:58,760
when they their enemies that is
when they out compete other

1923
01:28:58,760 --> 01:29:01,800
groups, right.
And and by the way sometimes

1924
01:29:01,800 --> 01:29:04,360
that requires the competition.
So I I I really, I really do

1925
01:29:04,360 --> 01:29:07,720
believe that Dimbi Samoa is
right that foreign aid is part

1926
01:29:07,720 --> 01:29:12,040
of what allows corrupt African.
You know, regimes succeed and

1927
01:29:12,040 --> 01:29:16,040
and persist because they're
being provided with resources

1928
01:29:16,040 --> 01:29:18,560
that they can then use.
It's true it prevents people

1929
01:29:18,560 --> 01:29:21,240
from starving sometimes because
some percentage goes trickles

1930
01:29:21,240 --> 01:29:25,240
down to them, but it also allows
the elite to not engage in the

1931
01:29:25,240 --> 01:29:28,880
competition with theirs, right?
That would lead to industry.

1932
01:29:31,440 --> 01:29:34,600
Michael, your polymath approach
to to reality at this point, I

1933
01:29:34,600 --> 01:29:36,720
mean, you're literally going
through from field to field,

1934
01:29:36,720 --> 01:29:40,720
bringing them all together.
Which fields do you find you're

1935
01:29:40,720 --> 01:29:45,560
most passionate about?
I mean I I don't think it feels,

1936
01:29:45,560 --> 01:29:49,200
I guess like you know, I so I
actually don't like the term

1937
01:29:49,200 --> 01:29:51,160
interdisciplinary.
It sounds like that's what I do

1938
01:29:51,160 --> 01:29:53,400
because interdisciplinary still
prioritizes disciplines, right.

1939
01:29:53,400 --> 01:29:55,480
It's trying to say it's
interdisciplinary or

1940
01:29:55,480 --> 01:29:59,840
multidisciplinary for like non
disciplinary or you know I'm an

1941
01:29:59,840 --> 01:30:02,520
undisciplined scholar.
You know, in that like I, you

1942
01:30:02,520 --> 01:30:03,920
know, I don't, I don't.
I just don't.

1943
01:30:03,920 --> 01:30:05,640
I don't care where the solutions
come from.

1944
01:30:05,640 --> 01:30:07,600
I don't care where the
approaches come from.

1945
01:30:08,000 --> 01:30:10,320
I think some disciplines are
better and more rigorous than

1946
01:30:10,320 --> 01:30:12,000
others in in approaching
questions.

1947
01:30:12,800 --> 01:30:14,120
I, you know, I'm at the longest
pool of economic.

1948
01:30:14,120 --> 01:30:16,400
I think economists are
incredibly rigorous at like

1949
01:30:16,400 --> 01:30:19,280
trying to figure the world out
relative to other disciplines

1950
01:30:19,280 --> 01:30:21,720
that work in the same area.
But as a result of that level of

1951
01:30:21,720 --> 01:30:24,400
rigor, they never tackle some of
the problems that we just don't

1952
01:30:24,400 --> 01:30:27,440
have the the the data, the
methods to actually access.

1953
01:30:27,440 --> 01:30:28,840
And so they just, like, hold off
on that.

1954
01:30:28,960 --> 01:30:30,800
And so then we have to rely on
other disciplines, right.

1955
01:30:33,480 --> 01:30:35,320
I've, you know, I've been
critical of my own field,

1956
01:30:35,320 --> 01:30:37,200
psychological behavioral
science, particularly for its

1957
01:30:37,200 --> 01:30:38,480
lack of theory.
You know, I think that's

1958
01:30:38,520 --> 01:30:40,480
improving in some areas and not
so much in others.

1959
01:30:40,640 --> 01:30:42,560
Sometimes people don't
understand what I'm saying

1960
01:30:42,560 --> 01:30:45,480
because they just not trained in
that in that they just don't

1961
01:30:45,480 --> 01:30:48,280
have the training to think about
what a theory actually is, you

1962
01:30:48,280 --> 01:30:52,200
know, But I I what I think of is
like, I have problems that I

1963
01:30:52,200 --> 01:30:56,160
want to answer.
I want to understand why humans

1964
01:30:56,160 --> 01:30:58,560
are different than their animals
insofar as that allows me to

1965
01:30:58,560 --> 01:31:01,640
build a better model of human
behaviour and and and humans.

1966
01:31:02,280 --> 01:31:04,760
I want to understand how humans
created the world that we live

1967
01:31:04,760 --> 01:31:05,960
in today.
I want to understand how they

1968
01:31:05,960 --> 01:31:07,520
learn from each other.
I want to understand how

1969
01:31:07,520 --> 01:31:10,560
humanity, the collective brain
you know, operates.

1970
01:31:11,040 --> 01:31:13,520
And I want to how we can tackle
some of the biggest problems

1971
01:31:13,520 --> 01:31:17,600
that we face today how how are
we going to deal with a climate

1972
01:31:17,600 --> 01:31:19,360
changed world.
So you know in the in the

1973
01:31:19,360 --> 01:31:23,320
beginning of the book I talk
about I, you know, I had this

1974
01:31:23,320 --> 01:31:26,160
moment where I I was reading,
you know, I watched Al Gore's

1975
01:31:26,160 --> 01:31:27,520
documentary An Inconvenient
Truth.

1976
01:31:27,520 --> 01:31:29,360
Right.
And I'm, I'm listening to him

1977
01:31:29,360 --> 01:31:31,360
and I'm just like, I think he's
right.

1978
01:31:31,360 --> 01:31:33,880
And I read the IPCC reports and
I read the Pentagon reports,

1979
01:31:33,880 --> 01:31:36,720
'cause I was like, the military
actually cares about outcomes.

1980
01:31:36,720 --> 01:31:39,000
They're not trying to put, they
just want to know what they need

1981
01:31:39,000 --> 01:31:41,200
to face.
And so I'm reading the Pentagon

1982
01:31:41,200 --> 01:31:42,800
reports.
I'm like, holy shit, we're in

1983
01:31:42,800 --> 01:31:46,640
for some really difficult and
everybody so focused on, they

1984
01:31:46,640 --> 01:31:48,560
slow the economy to save the
planet.

1985
01:31:49,040 --> 01:31:51,880
I'm like, man, listen, like if
your theory says we have to

1986
01:31:51,880 --> 01:31:54,240
change everything about, you
know, fundamental drivers of

1987
01:31:54,240 --> 01:31:56,200
evolution or human behavior,
Like you're like if you're a

1988
01:31:56,200 --> 01:31:58,640
communist, you know, it's like,
and you say, look, it doesn't

1989
01:31:58,640 --> 01:32:00,360
matter what your contribution
is, you're all going to get the

1990
01:32:00,360 --> 01:32:02,840
same thing.
You're going to require huge

1991
01:32:02,840 --> 01:32:04,200
amounts of coercive to make that
work.

1992
01:32:05,040 --> 01:32:08,000
You know, a world where every,
every country is trying to

1993
01:32:08,000 --> 01:32:09,760
compete, every other country,
every company is trying to

1994
01:32:09,760 --> 01:32:12,080
compete, every other company and
every person is trying to do

1995
01:32:12,080 --> 01:32:14,400
better than their neighbors,
right?

1996
01:32:14,840 --> 01:32:17,720
Like you're not going to make
slow the economy to save the

1997
01:32:17,720 --> 01:32:19,920
planet.
And look, we're already becoming

1998
01:32:19,920 --> 01:32:22,400
more efficient, right?
Like light bulbs way like, you

1999
01:32:22,400 --> 01:32:23,640
know, the whole, like turn off
the lights.

2000
01:32:23,800 --> 01:32:24,760
Like it.
It's pointless.

2001
01:32:24,760 --> 01:32:27,720
If you have LE DS, they're so
efficient. 1 fluid is going to,

2002
01:32:27,720 --> 01:32:30,320
you know, out outdo like a
year's worth of light bulbs, you

2003
01:32:30,320 --> 01:32:34,200
know.
And so facing these problems, I

2004
01:32:34,200 --> 01:32:36,280
was like, OK, well, what does it
mean to live in a climate

2005
01:32:36,280 --> 01:32:39,040
changed world?
What does it mean for a million

2006
01:32:39,040 --> 01:32:41,440
Bangladeshis and a million
people in the South Pacific to

2007
01:32:41,440 --> 01:32:43,880
be underwater flooding into
neighbouring regions?

2008
01:32:43,880 --> 01:32:45,240
What does that do to the Middle
East?

2009
01:32:45,360 --> 01:32:48,840
What does that do to Europe?
How do we, how do we create

2010
01:32:48,840 --> 01:32:51,240
harmonious societies where
people are from very different

2011
01:32:51,240 --> 01:32:52,440
places, running very different
software?

2012
01:32:52,600 --> 01:32:54,520
And the people don't even
understand it because they've

2013
01:32:54,520 --> 01:32:57,480
never seen that experienced it,
understand how different the

2014
01:32:57,480 --> 01:32:59,200
world really is, because they
haven't, personally.

2015
01:32:59,200 --> 01:33:02,280
They just don't understand it.
Their software is incompatible.

2016
01:33:02,280 --> 01:33:04,640
They can't understand what
different software looks like.

2017
01:33:04,800 --> 01:33:06,840
If you're Sweden, you're like, I
just can't understand people

2018
01:33:06,920 --> 01:33:08,360
like that.
People are fundamentally the

2019
01:33:08,360 --> 01:33:11,160
same, right?
And so these kinds of problems

2020
01:33:11,160 --> 01:33:13,240
or innovation, you know, how do
we crack innovation?

2021
01:33:13,240 --> 01:33:15,760
How do we make our companies
more innovative, right?

2022
01:33:15,760 --> 01:33:17,800
How do we become as individuals,
cleverer?

2023
01:33:18,600 --> 01:33:21,400
How does an average person do
more good in the world with

2024
01:33:21,400 --> 01:33:24,400
their capabilities, their gifts,
right?

2025
01:33:24,880 --> 01:33:27,840
These are problems that I
consider to be non like they're

2026
01:33:27,920 --> 01:33:30,720
they're disciplinary problems
and the disciplines can say that

2027
01:33:30,720 --> 01:33:34,080
is something I work on.
But non disciplinary solutions

2028
01:33:34,080 --> 01:33:36,920
are undisciplined solutions
where you take, I don't care

2029
01:33:36,920 --> 01:33:39,240
where it comes from, I don't
care who came up with it.

2030
01:33:39,240 --> 01:33:42,000
I'm just going to bring it to
bear on the problem in how I

2031
01:33:42,000 --> 01:33:45,040
approach any of this stuff, and
I think, yeah, I just.

2032
01:33:45,080 --> 01:33:49,200
Taking that overall bigger
picture sort of view is and

2033
01:33:49,200 --> 01:33:52,680
bringing I collab widely.
If I need a skill, I'll bring

2034
01:33:52,680 --> 01:33:55,240
the person on.
When we did the whales and

2035
01:33:55,240 --> 01:33:58,400
dolphins, I did it with an
evolutionary biologist and

2036
01:33:58,400 --> 01:33:59,920
neuroscientist and myself,
right.

2037
01:34:00,520 --> 01:34:02,600
And now when we're doing
octopuses, I, you know, I was

2038
01:34:02,600 --> 01:34:05,880
like, holy crap, Octopuses are
way more like, look, whales and

2039
01:34:05,880 --> 01:34:07,640
dolphins, they're mammals,
They're mammals in the ocean,

2040
01:34:07,640 --> 01:34:09,120
but they're mammal.
I understand them.

2041
01:34:09,360 --> 01:34:11,280
And I'm looking at octopus near
anatomy.

2042
01:34:11,280 --> 01:34:13,240
I'm like there's no way I'm not
going to understand.

2043
01:34:13,240 --> 01:34:15,200
So I, you know, I work with
Jennifer Mathers who's a well

2044
01:34:15,200 --> 01:34:17,040
known.
You know, if you watch my

2045
01:34:17,040 --> 01:34:19,240
octopus teacher, you know, she
was one of the scientific

2046
01:34:19,240 --> 01:34:20,840
directors there and you know,
her papers.

2047
01:34:22,640 --> 01:34:26,440
Yeah, she, she works in South
Africa with, yeah, she works in

2048
01:34:26,440 --> 01:34:28,560
South Africans, you know, she,
she was part of that thing, you

2049
01:34:28,560 --> 01:34:29,560
know.
And so she we started

2050
01:34:29,560 --> 01:34:32,600
collaborating with other people.
Tisa Van Dixon, who actually

2051
01:34:32,600 --> 01:34:34,800
works on religion but is deeply
interested in this.

2052
01:34:35,720 --> 01:34:37,960
You know, we have a wonderful
team of research assistants.

2053
01:34:37,960 --> 01:34:40,360
I mean, when you talk about
that, excuse me, I mean octopus.

2054
01:34:40,400 --> 01:34:41,960
Octopus.
Do you say octopi?

2055
01:34:42,040 --> 01:34:44,240
I'm always not sure about that.
Is it octopuses or is it

2056
01:34:44,240 --> 01:34:46,800
octopus?
But they're the most alien

2057
01:34:46,800 --> 01:34:49,760
species that I think of them.
When I think of an octopus, I

2058
01:34:49,760 --> 01:34:52,680
think ultimately the weirdest
thing you could see.

2059
01:34:53,160 --> 01:34:57,400
And when I pitch that is good.
That's right.

2060
01:34:57,640 --> 01:34:58,720
Yeah.
And you know, so that's how we

2061
01:34:58,720 --> 01:35:00,840
pitched the Grand Tack.
Look, it's an alien species

2062
01:35:00,840 --> 01:35:04,520
among us, right?
And and I think like studying

2063
01:35:04,520 --> 01:35:06,960
those kinds of things so we were
studying it because we you know

2064
01:35:06,960 --> 01:35:09,280
when we when I developed the
cultural brain hypothesis model

2065
01:35:09,520 --> 01:35:12,920
it made predictions for social
species and it fits it very

2066
01:35:12,920 --> 01:35:14,800
nicely.
But it also I wasn't expecting

2067
01:35:14,800 --> 01:35:17,880
to find this but we discovered
another regime for intelligence

2068
01:35:17,880 --> 01:35:21,720
to evolve in a social species
and I'm like OK wow you know

2069
01:35:21,720 --> 01:35:23,800
this can evolve in a different
you know in a social how did

2070
01:35:23,800 --> 01:35:26,080
that happen.
And the the most you know a

2071
01:35:26,120 --> 01:35:29,120
social like solitary species
short lived doesn't match any of

2072
01:35:29,120 --> 01:35:31,560
the social stuff our octopuses.
So I was like, that's where I'm

2073
01:35:31,560 --> 01:35:34,440
going to test it.
But you're right, by studying

2074
01:35:34,440 --> 01:35:36,920
that species, I'm going to
understand, we already did

2075
01:35:36,960 --> 01:35:39,880
understand a very different
alien intelligence.

2076
01:35:39,880 --> 01:35:42,760
And that tells us something
about other alien intelligences

2077
01:35:42,760 --> 01:35:44,880
because now you're beginning to
generalize elegances.

2078
01:35:44,880 --> 01:35:48,080
You know, I've been part of this
great project by the Temples of

2079
01:35:48,080 --> 01:35:51,080
War on Charity Foundation about
diverse intelligences.

2080
01:35:51,360 --> 01:35:53,280
You know, it's like
intelligences as we find them

2081
01:35:53,600 --> 01:35:54,960
across.
Like, are there patterns, are

2082
01:35:54,960 --> 01:35:56,840
there commonalities that we can
talk about?

2083
01:35:57,360 --> 01:35:58,720
Right.
Are there common frameworks for

2084
01:35:58,720 --> 01:36:02,080
understanding this?
And I think there are.

2085
01:36:03,840 --> 01:36:06,280
And I think you're right.
You know, like looking at

2086
01:36:06,280 --> 01:36:09,080
octopus intelligence is at least
gives you an understanding of

2087
01:36:09,480 --> 01:36:10,880
what maybe an AI might look
like.

2088
01:36:12,120 --> 01:36:15,000
Mike, are you familiar with
Michael Levin's work?

2089
01:36:16,640 --> 01:36:17,080
Who?
Sorry.

2090
01:36:17,440 --> 01:36:19,080
Michael Levin, have you heard of
Michael Levin?

2091
01:36:19,200 --> 01:36:19,840
Yes.
Oh, yes.

2092
01:36:19,920 --> 01:36:20,240
Yeah.
Yeah.

2093
01:36:20,240 --> 01:36:22,160
So he's part of the same group.
Oh, is it OK, cool.

2094
01:36:22,160 --> 01:36:23,680
Yeah.
Because I mean when when if you

2095
01:36:23,680 --> 01:36:26,040
chat to him, I think about like
this is getting completely

2096
01:36:26,040 --> 01:36:28,280
insane and when you think about
the concept of intelligence and

2097
01:36:28,280 --> 01:36:32,480
minds, the lines are becoming so
blurry at this point.

2098
01:36:32,480 --> 01:36:35,680
I mean, they look you, they can
we can literally create new

2099
01:36:35,680 --> 01:36:38,240
species of minds.
At this point it's it's it's

2100
01:36:38,240 --> 01:36:42,960
pretty and and scary in the
sense that it it's such weird

2101
01:36:43,360 --> 01:36:45,200
territories that open up so many
ethical dilemmas.

2102
01:36:45,200 --> 01:36:48,800
It's so many.
Questions for ourselves, right.

2103
01:36:48,960 --> 01:36:51,160
Yeah, that's very interesting.
Where the Yeah.

2104
01:36:51,600 --> 01:36:53,400
Do do you?
Are you fascinated by octopuses

2105
01:36:53,400 --> 01:36:55,560
because of this?
But there's this sort of the

2106
01:36:55,560 --> 01:36:58,680
doors it opens to our fully full
understanding of diverse species

2107
01:36:58,680 --> 01:36:59,960
as a whole.
Yeah, that's right.

2108
01:36:59,960 --> 01:37:03,200
You know, it's the hard test.
You know, I have to tell you, I

2109
01:37:03,200 --> 01:37:05,720
love being wrong.
You know, I love, I Love

2110
01:37:05,720 --> 01:37:07,400
Actually being wrong because
that's what I learn, right.

2111
01:37:07,800 --> 01:37:10,320
And I'm not expecting this, you
know, the cultural brain

2112
01:37:10,320 --> 01:37:12,880
hypothesis or the a cultural
brain hypothesis to be a great

2113
01:37:12,880 --> 01:37:15,760
fit for octopuses because we
weren't designing it around them

2114
01:37:15,760 --> 01:37:16,720
and we weren't thinking about
it.

2115
01:37:16,720 --> 01:37:18,800
But I think it'll give, it'll
give me a starting point to

2116
01:37:18,800 --> 01:37:22,160
understand it.
And I think, you know, by

2117
01:37:22,160 --> 01:37:24,640
understanding it like we we're
putting together the largest

2118
01:37:24,640 --> 01:37:29,120
database of octopus Physiology,
brain anatomy, life history and

2119
01:37:29,120 --> 01:37:31,040
behaviour that anyone's ever
created.

2120
01:37:31,040 --> 01:37:33,040
We swept the entire literature,
right.

2121
01:37:33,480 --> 01:37:36,080
And using that database, we're
going to be able to test these

2122
01:37:36,080 --> 01:37:39,160
predictions and other people can
go and test other patients,

2123
01:37:39,160 --> 01:37:41,520
right.
Because we have dietary breath,

2124
01:37:41,520 --> 01:37:43,280
we have ecology, we have a whole
bunch of stuff.

2125
01:37:43,280 --> 01:37:45,400
Like, you know, it's an
amazingly large data set.

2126
01:37:47,800 --> 01:37:49,800
And so, yeah, I am for this very
reason.

2127
01:37:50,880 --> 01:37:51,440
Yeah.
Yes.

2128
01:37:51,600 --> 01:37:53,800
Incredible work.
I mean I can't wait to to to

2129
01:37:53,800 --> 01:37:56,120
look into that and and and
follow that journey.

2130
01:37:56,320 --> 01:37:59,440
Is there anything about this,
about your book, about this

2131
01:37:59,440 --> 01:38:01,600
conversation that you feel that
you haven't touched on, that

2132
01:38:01,600 --> 01:38:04,600
you'd really like to hone in on
and just drive the point home?

2133
01:38:06,120 --> 01:38:08,560
Gosh, you know, I I feel like
you've done a great job like

2134
01:38:09,160 --> 01:38:11,480
getting me to talk about like a
whole bunch of stuff in your

2135
01:38:11,480 --> 01:38:12,280
homework.
Clearly.

2136
01:38:12,280 --> 01:38:16,440
I don't think so.
I mean, honestly, like, I hope

2137
01:38:16,440 --> 01:38:19,680
that people read it, they see
how it resonates with them.

2138
01:38:19,680 --> 01:38:22,400
They ask questions.
They, I don't know, form groups

2139
01:38:22,400 --> 01:38:25,120
and have the questions follow me
on sub stack or something, you

2140
01:38:25,120 --> 01:38:27,720
know.
And you know, you can see like

2141
01:38:27,720 --> 01:38:30,280
if you like the book Sapiens,
for example, you know, one of

2142
01:38:30,280 --> 01:38:32,720
the things that you can see, you
know, I think if this is

2143
01:38:32,720 --> 01:38:34,520
complimentary because it's
closer to the science.

2144
01:38:34,840 --> 01:38:36,520
I'm not a historian, you know,
I'm a scientist.

2145
01:38:37,000 --> 01:38:39,240
And you'll see, like if you look
at the, the endorsements from

2146
01:38:39,240 --> 01:38:42,560
across the sciences, you know,
energy scientists, human

2147
01:38:42,560 --> 01:38:46,080
evolution, biologists,
economists, psychologists, human

2148
01:38:46,080 --> 01:38:49,520
behavior philosophers, like
there's a endorsements from all

2149
01:38:49,520 --> 01:38:51,480
around.
And and then it's because the

2150
01:38:51,480 --> 01:38:53,640
book is really trying to do a
good job of bringing everything

2151
01:38:53,640 --> 01:38:55,800
to bear.
Looking at the the elephant in

2152
01:38:55,800 --> 01:38:57,760
the room, if you like.
Yeah, it's.

2153
01:38:58,320 --> 01:39:01,800
It's it's a wonderful book.
I mean the fact that you.

2154
01:39:02,560 --> 01:39:05,320
You incorporate the science of
who we are, where we're going,

2155
01:39:05,320 --> 01:39:06,720
why we're doing the things we're
doing.

2156
01:39:06,720 --> 01:39:08,880
It's it literally is a theory of
everyone.

2157
01:39:09,360 --> 01:39:11,400
And and I thank you for your
contributions to the field.

2158
01:39:11,400 --> 01:39:12,480
It's been such a pleasure.
Michael.

2159
01:39:12,480 --> 01:39:13,520
Thank you so much for joining
me.

2160
01:39:14,400 --> 01:39:17,200
Thank you for for for this
wonderful conversation, Tim.

2161
01:39:17,200 --> 01:39:18,680
And honestly, I've I've enjoyed
it.

2162
01:39:18,720 --> 01:39:22,720
And you know, good luck to South
Africa in in sports and in

2163
01:39:22,960 --> 01:39:25,400
politics.
I mean, for all those who who

2164
01:39:25,520 --> 01:39:27,920
were watching a listing, go Baca
earlier with your reference.

2165
01:39:27,920 --> 01:39:31,480
And Bri Bri's Barbecue and Baca
Are the Springboks, our rugby

2166
01:39:31,480 --> 01:39:33,440
team?
Yes, yes, yes.

2167
01:39:34,320 --> 01:39:36,440
Michael, thank you so much.
It's such a pleasure to chat to

2168
01:39:36,440 --> 01:39:38,120
you and hopefully we can have
around 2 someday.

2169
01:39:39,720 --> 01:39:41,080
Absolutely.
I'm delighted.

2170
01:39:41,080 --> 01:39:42,560
Thank you so much, Tim, and I
appreciate it.