Best of the Pod: Dwarkesh Patel’s Quest to Learn Everything
By Every
Summary
## Key takeaways - **AI enhances deep research for interviews**: Dwarkesh uses Claude to ingest and understand vast amounts of information from sources like academic papers and books, enabling him to grasp complex topics and build mental models necessary for asking insightful questions. [07:09], [33:18] - **AI transforms passive reading into active learning**: Dwarkesh leverages LLMs to create spaced repetition prompts from texts, turning passive reading into an active learning process that reinforces key concepts and prevents information loss. [04:05:07], [06:14:19] - **AI aids in building a cohesive worldview**: Dwarkesh uses AI projects to consolidate fragmented notes and ideas from various readings, helping him identify patterns and structure them into a coherent argument or a comprehensive piece of writing. [33:18:27], [36:26:36] - **Deep learning compounds future understanding**: By using AI to create spaced repetition cards, Dwarkesh retains information more effectively, which accelerates future learning as new knowledge builds upon a robust, interconnected foundation of concepts. [18:48:50], [19:34:44] - **AI helps clarify complex philosophical texts**: Dwarkesh uses Claude to break down dense philosophical works, like Wittgenstein, making them more accessible and enabling deeper engagement and more informed discussions with experts. [21:57:08], [22:24:36] - **AI assists in interrogating expert arguments**: Dwarkesh uses AI to analyze expert writings, identifying potential contradictions or areas of confusion. This allows him to prepare more probing questions that go beyond surface-level understanding for his interviews. [20:37:00], [21:15:24]
Topics Covered
- AI Models are Now Intelligent and Interrogative for Research
- Casual Reading is Often Just Entertainment, Not Learning
- Using AI to Interrogate and Reinforce What You Read
- David Reich's Research Revolutionized Understanding of Human Origins
- Genetic Data Reveals Deep Social Stratification in India
Full Transcript
How is AI integrated into your work and
in your life right now?
So, a lot of topics I just find I have a
vague sense of what's happening and it's
super helpful to chat with Claude to
make sure I'm on the right track.
What is driving all of this? What do you
think that's about?
I really just want to know everything.
Wait, step back. Why is this necessary?
What's going on? How do I think about
the broader context of what's happening
here? Because I really can't ask good
questions unless I have a good mental
model of what they're talking about.
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Doresh, welcome to the show.
Thanks for having me, Dan.
I'm so excited to have you. For people
who don't know you, I assume everyone
knows you, but for people who don't, um,
you do the best most, like honestly the
smartest interviews in AI that I found.
Um, you have like really incredible
guests like Mark Zuckerberg, Dennis
Sabis, Patrick Collison. Um, you you
you've created like the go-to show for
smart people to to learn about AI, but
you also kind of branch out into lots of
other things like geopolitics and
history and stuff like that. It's it's
really great and you're like you're just
one of the one of the people that
inspire me to like make smart content.
So, I appreciate you coming on the show.
Yeah, that's very kind of you to say. I
mean, um, I've, uh, I've always been
sort of trying to make have the
conversations that I would like to have
if I was getting dinner with one of
these professors or CEOs. What would I
want to ask them? And, um, I'm I'm glad
other people enjoy them as well.
Yeah, it comes through. Um, and I I
think like it's it's really fun to get
to like turn turn the tables on you a
little bit because, uh, you've done some
interviews, but but mostly you're
interviewing other people. And I think
um like it's probably on people's minds
like how you use AI in your work in in
your life and so and so that's what
we're going to talk about today. So um
maybe just stop start by giving us a
little bit of an overview like um how is
AI integrated into your work and in your
life right now.
Yeah. So it's actually changed a lot. I
remember a year ago this was after I
think it was after GPT4. Um I somebody
asked me you know do you use AI to help
you with your research or prep? And I
was like not at all. It's completely
useless in mid. it gives you these banal
um you ask it like what should I ask so
and so professor and it'll give you
these banal where did you grow up what's
your book about whatever so initially it
was you know um terrible I think
recently the models have gotten to just
the point where with these like I don't
know 40 or especially with the cl new
cloud models they're intelligent and
interrogative and can consider the
context which you provide to them and so
they're still not that good at like what
should I ask this person because
obviously See, that's why I have a job,
right? So that I can come up with the
questions. But for the research itself
where you're, for me at least, I try to
like ingest everything they've ever
written. Um, all the rebuttals to their
ideas, all the other considerations, and
there's often a lot involved, especially
given there's like many different fields
I try to go deep into. Like the last
interview I just did was with Dylan
Patel, who writes semi analysis. It's a
um it's a publication about
semiconductors and AI hardware and so
on. So like there's a bunch you have to
learn and uh it it's I I mean I can go
through my workflow, but it's incredibly
useful to be able to like have this
thing where I'm like what's going on
here? Can you help me explain this? And
I guess one bigger thing I've been
thinking about is ever since I
interviewed Andy Matushak, if you've if
your audience is familiar, he's the guy
who did um who talks a lot about how
space repetition and other tools can
enhance our ability to learn and how the
normal mode of learning, you're actually
not picking up that much. If you pick up
a random book and start reading, you're
not getting that much out of it. And I
really have found that to very much to
be the case to the extent that if I'm
just like casually reading a book, I
think I'm basically wasting time or
entertaining myself. And I have come up
with a couple of um different workflows
and tools that help me really
interrogate and make sure I've
reinforced what I'm reading about or
learning. And the a tool like and
language model is very helpful cuz like
it gives it it gives you the contact um
the content in another context and you
can like it makes it can quiz you if you
want. So it's it's super helpful that
kind of stuff.
That's really cool. I think we should
start I want to start back to front like
with the the stuff you're using to read
because I think the reading all that
reading is sort of the input like one of
the inputs to the interviews and then
we'll get into the interviews. Um and
I'm really excited for both. So, so
let's start with with using AI to read
and to learn. the um you know so as I
was talking about like the one of the
main things I think is important is if
I'm studying a topic over the course of
a few weeks it's um especially if it's a
difficult topic it's like new to me it's
incredibly important that I've I'm not
just casually reading because if you're
just casually reading it's like every
day you're reread the same key terms the
same concepts and you're you start over
from scratch. Um, so one of the things I
like to do, for example, I was recently
interviewing Dylan, right? So if I go to
his publication, semi analysis, there's
just a ton of lingo and things you have
to understand. Um, so the new one was
pretty interesting. It's talking about
why nobody has built a huge training
cluster yet. And then first thing I do
is just like what are the key ideas and
concepts I really need to understand. So
I made myself um a hugging face. You
honestly don't need to do anything like
this. You can just it's pretty simple to
have claude build you hugging face space
or if you prefer it what it literally
does is like apply this prompt to
everything I paste in. So just you can
you just copy paste that prompt into
claude yourself. But basically it just
has I copy pasted some of the things in
Andy Matushek's post about how to write
good prompts and I just ask cla to make
those prompts for me space repetition
prompts. So um when I do this hopefully
in a few seconds we'll get something
back. um initially this will give just
give me some ideas of like what are the
key ideas here I need to understand so
um
super useful right I can even zoom in a
little bit so it's more helpful um so
for for the audience who's listening
like it's given me a bunch of question
answer pairs that consolidate the key
things I need to understand about this
post about um you know we can go through
the specifics here I'm sure that the
actual specifics of AI hardware will
bore But um a lot of the things where
it's like okay if you don't get this
you've like totally missed the boat
here. And so you can start with
something like this. I add it to my
space repetition app. Um or I can just
look through this and I'm getting a
sense of like oh okay here's what it
would take to train a GP4 level model on
a 100,000 H100 cluster. What are the
three main types of parallelism you need
to use to train on a big cluster or
whatever. And this is on for a technical
post. On other kinds of posts there
might be different kinds of cars that
come up for history. It might be a
different kind of thing. For philosophy,
it might be a different kind of thing.
So, this gives me a lay of the land.
I love this. This is super interesting.
I like I feel like I can go in like a
bunch of different directions, but what
where I want to start is like um how are
you reading and when are you reading?
So, is this like are you using this
specifically for um uh for reading that
you're doing for the show or are you
just doing this for any reading that
you're doing that you feel like is
serious and you really want to learn?
Um both. So,
just this weekend, I was reading um I
forgot the author's name, but it's a
book called Medieval Technology and
Social Change, and it's about how
different things that were developed
through um the last 1,00 to 500 years,
technologies, like the steerups, how
they affected society, and it's like you
can it's entertaining. You can read it.
And then
one of the things is like, okay, did I
really understand what's going on here
um with the relationship he's trying to
elucidate? So afterwards, in fact, I
have some claw chats where I was just
going through um while I was reading it,
um let's see if this recollects
do it. I I want to know I'm I'm on the
edge of my seat cuz I have this book.
It's like sitting on the desk in front
of me. Um and so I want to know what
what you got out of it.
Okay. So um first I was just asked to
make space repetition prompts for me.
First of all, I was just like I read the
chapter. I'm not sure I got it. So just
explain to me the chapter about how he
says that stirrups created feudalism.
Like what exactly was the connection
here? So it it's a much more condensed
like here's what's going on here.
Basically if you understand this it's a
useful scaffold so that when you're
reading the rest of the chapter you
understand where the pieces fit
together.
Have you tried like one one of the
things that's that I've tried with this
is like cuz sometimes it doesn't know
especially for a book like that where
it's like not that popular. Have you
tried like one one of the things I do is
create a little claude project and then
upload the text if I can find it. Have
you tried that?
In fact, let me just cl.ai
uh projects.
So, if I go to
um I literally just like I'm I'm a host
of a podcast where I try to ask good
questions. My upcoming guest is a
geneticist and I just upload the I get
the EPUB of the file. I convert the EPUB
to a text using an online converter. I
upload it to Project Knowledge. Then I
I've only just started prepping for this
guest, but I'll just have a bunch of
chats where I'm like, um, you know, how
how does he explain what groups made up
modern Europeans? It has all the context
in there. That's that ends up being
incredibly useful, like you were saying.
Yeah, that's so cool. I I I love that. I
love that feature. Okay. Wait, let's go
back to let's go back to stirrups and uh
and this chat you're having with uh um
uh with this book or about the book.
Yeah. So, you know, it explains that the
reason stirrups create a feudalism is
because you needed um you needed a lot
of land basically to support the kinds
of people who become heavy cavalry, the
knights. The knights need a lot of land
in order to um have the income to have,
you know, like uh armor and uh lances
and other kinds of equipment and to
train themselves. Um but you a knight is
only possible if you have a stir up
against which you can brace yourself as
you're attacking with a sword because
otherwise you're just like a Mongol
who's shooting bows and arrows. So, um,
but then then there's a bunch of stuff
that's confusing here, like why is it
that expensive to have be a knight that
you need to like completely confiscate
church lands in order to subsidize this
night lifestyle? Um, and then on these
kinds of questions, the author is dead,
but it's just like I'm just like murky
about it. I don't know what's going on.
So, I can just um these kinds of things
I can the book didn't even talk about,
right? But I can always just continue
the conversation with Claude and have it
explain what's going on. Um, and so this
is just like a recreational reading that
Claude ends up being super helpful with.
I think that's really interesting. What
What do you think about um like books
like this, like in your, you know, as a
as a person who likes history a lot,
books that sort of single out like a
specific thing like the stirrup and then
are like, well, you can trace all this
stuff to that like one thing where it
like makes so much sense. But then there
are things like I don't know like Guns,
Germs, and Steel where like Jared
Diamond had that whole thesis about I
can't remember the the exact thing but
it's like people in warmer climates or I
can't remember the exact theis but it
turned out to be like totally wrong.
Yeah. How do you feel about things like
that?
Yeah. So my opinion on these kinds of
books
there's
there's one I mean the sort of concise
answer is like yeah there's ones that do
it poorly but just don't read the ones
that do it poorly or something. There is
a failure mode for public intellectuals
where they initially start off with a
discipline and they do some exemplary
work there and then they write an
initial broad book that's about how this
idea explains a lot of the world and it
does incredibly well and now they're in
like public intellectual mode and now
that the next book has to be like here's
my theory of everything and it just not
that satisfying. So, I do worry about
those kinds of things. But, um,
presumably the reason I don't know. I'm
not I'm not into like reading 500page
books about like uh ju just how this
tear up physically worked. Like, what's
the point of that, right? I do want to
understand the implications. And maybe
they're wrong, but um
I mean, what else are we trying to do
here, right? Do we just care about maybe
you just intrinsically care about how
the stereo physically works there? I I I
will point out a couple of examples. So
there there's a lot of interesting
topics where you really can't get at the
heart of the matter without just
considering the whole story. And in
fact, so a couple of biographies
especially stand out in this way where
if you look at Ko's biography of LBJ or
Codkin's biography of Stalin, it's
basically a history of this 20th century
or in the case of Codkin even before the
20th century. Um, I think this uh KO
books on LBJ start off with the Comanche
raids on uh frontier settlers in the mid
19th century or something and it goes
through rural life in Texas, why
electrification was such a big deal, a
whole bunch of other things right now.
Um, so it's basically a history of the
20th century, but it has a very specific
point of view or a specific locus of
character that's moving the story along.
And I find those to be incredibly
helpful in getting a full picture of
what's going on in an era. Um there's a
couple other books where they really
aren't trying to write a theory of
everything. Like I don't think Carol's
trying to write about like what is the
history of the 20th century, but they
just can't help themselves. They feel
like you really cannot understand the
very specific topic I care about unless
I tell you everything about everything.
And you know like um Codkin story uh
biography of Stalin starts with the like
Bismar's career as a military general
and how that changed the way that
different powers thought about um
colonialism and the need to modernize
and that's where it starts right and
it's a biography of Stalin. So uh yeah I
love those kinds of books. I think
there's like a very just deep point
about the universe being interconnected
there, but there's also like a really
interesting point for um people who want
to make stuff like make writing or make
podcasts or whatever cuz like there's
this deep fear that everyone has about
like being pigeonhold and it's like well
if I pick this like really specific
topic I won't be able to like bring all
of myself to it or I won't I won't be
able to be like multifaceted and it's
like no no no if you just pick one guy
Lyndon Johnson and really get deep into
him you have to explain everything else
about the world in order to explain him.
And I I love that. And like as a creator
myself, like that's the thing that I
think about when I'm like, "Oh, maybe
I'm getting too narrow here." It's like,
"No, no, the narrow is actually good.
You can find the entire universe in the
narrow."
Yes. Yeah. Yeah. Yeah. I I couldn't have
said it better.
Yeah. Um Okay. So, so basically what I'm
what I'm seeing right now is you're
using Claude when you're reading books
that you care about, you care about like
learning from and you're using it a
little bit to like prepare your prepare
the mind your mind for like what you're
about to read, which I think is a
particularly good for like difficult
books or for like thinking through a
particular argument before you like go
through it. You're asking questions.
You're asking questions. So, you're kind
of like it's a reading companion. You're
getting more out of the books you read
from that. But then you kind of take
take your what you've read and throw it
into this um this uh card generator.
Yeah. And so that that's um mostly it's
just chatting with Claude. And so let me
see if I can find a better example. Um
so I mean a lot of topics I just find um
I' I've have a vague sense of what's
happening but I don't really like get
it. And it's super helpful to chat with
Claude to make sure I'm on the right
track. I one was like um
you know Dylan has a couple of posts
about how why packing as a technology is
super uh necessary for these advanced
chips. I'm not trying to make this
podcast all about AI hardware. It just
happens to be the last podcast I did. So
that's what you're getting. But um then
I'm I was it's like a confusing it's
like a five series post about how
advanced packing works and how you know
what what the technical specifications
are and I'm like wait step back what why
why is this necessary? What's going on?
Um all kinds of other questions about
when there's questions about how I'm
worried about where I might get too deep
in the weeds when I'm just explaining.
Yeah, basically I'm just like how how do
I think about the broader context of
what's happening here? because I really
can't ask good questions unless I have a
good mental model of um what they're
talking about. Like I really get where
all this is fits together.
That makes sense. And so and and and so
cloud is kind of like the first thing
you flip to when when you when you want
to know that. Are you using it on mobile
or using it on desktop?
Desktop.
Okay. Interesting. So you're doing most
of your like reading and research stuff
on desktop.
Yeah, that's right. H. And what do you
think about like uh just Claude being
really great right now and like chat
like I assume your CHBT usage is lower
than it used to be.
Yeah, I think these things will keep
getting better over time and
I
um I I you know I I I yeah I think just
like getting in the practice of using
these tools. I'll talk a little bit
about how these tools relate to my
post-production process. Initially it
was kind of useless but I did spend a
few weekends trying to write a few
prompts and key create a workflow. At
the time it was basically useless. Now
it's actually ended up being useful and
I can use the same you know Jupyter
notebooks or whatever to get things
done. So um it is worth investing in
getting even if they don't work
perfectly now to get them part of your
workflow so that as they keep getting
better you're getting the returns from
that.
Yeah that makes sense. So, so I want to
just go back to the uh the flat the the
the Anki card generator, the the space
repetition card generator. So, as part
of this, once you once you've done all
the sort of like conceptual um uh you
know, clearing the ground conceptually
for yourself to like kind of understand
the the basics of of what a guest is
talking about or an idea that you're
interested in, then you're kind of um
you're adding to your your flash card so
that I I guess so that it you retain the
information past even when you talk to
that guest. Is that right?
Yes, that's right. Um, I mean I I I
think of the larger mission of the
podcast is to consult. Why does the
podcast get better over time? And it's
because basically I'm getting smarter or
learning more things. I'm reducing my
ignorance around a bunch of topics. And
so to if I don't do that, I mean, I
think about all the episodes I did
before I interviewed Andy and started
using space repetition and I just like
really regret it because I talked to all
these world experts in a ton of
different domains. And to be honest,
like in many cases, I didn't take that
much away. I vaguely remember some
things. And now that I use I can walk
you through the kinds of cards I make
and the space operation tools I use, but
it's like totally a gamecher in terms of
what I can retain. And in fact, I think
it's not even about making sure I
remember what I discussed in a previous
episode or what I learned previously.
It's more about future learning because
I'm sure you've heard the saying about
um the uh you know learning compounds
because you can use what you've learned
in the past to um learn future things
because they all interconnect. Well, you
can't do that if you basically forgotten
most things you've learned in the past.
So I my learning has for future other
things has become much faster because I
have cached all these different um
concepts and figures and facts. So but
future things are just like I I
understand how everything fits together
much more. It's not even about the past.
It's really about future learning.
Can we see your uh I don't know what
what you use for for space repetitions.
Can we see your your deck?
Yep. I I will point out by the way as a
side notes one one use case of claw that
ended up actually being pretty useful
sometimes you read obscure phil like I
was reading Nick Lan's selected writings
about AI and his accelerationism and I
was like what's going on like I
genuinely I'm like what is his argument
basically like why does he think that
the AI takeover and the whatever thing
it creates in the aftermath will be goo
because he's a smart guy I'm assume he
has an interesting argument so I upload
the PDF of his selected writings I just
asked Cloud like Okay, so why does he
think it's a good thing that AIS take
over humans? And he they it offers a
summary like initially this isn't
necessarily that helpful cuz I kind of
did read this in the essay. But what's
what's helpful is that when you go
through and I'm like I respond like I
don't get it. Like what does he think is
wrong with human society that you can't
uh you have to erase it and then he
gives explanation. I'm like I still
don't get it. Like what exactly are you
talking about here? And then like here's
what I do with the podcast, right? have
the guest on and I ask them, "What do
you mean here? Like, I I I disagree.
Here's a contradiction, whatever." And
going through their writings with Claude
and like, "Have I have I actually found
a sort of blind spot in their thinking
or is this just me being confused about
their ideas?" is super helpful.
That's that is really interesting. It's
like um you can you can get you can get
down to a deeper level before you talk
to them so that you can start there with
them as opposed to like starting at the
surface.
Exactly.
Which is really cool. I I use that too
for like um for for difficult books like
not necessarily for like interviewing
the author of those books but like for
example I interviewed Reed Hoffman like
I don't know a month or two ago and I
wanted to talk to him about the kind of
like intersection between philosophy and
AI and he was like um he he like uh
almost became a philosophy professor
like at Oxford wanted to like was really
deep into Vickingstein so like I read a
bunch of Vickenstein um which I hadn't
read in a while and I I just used Claude
for it and it was like so much better.
Um because I like I haven't taken a
Vickenstein class or maybe I took one in
college like a long time ago, but I've
read him a lot and it just there are
always those those points in those kinds
of books where you're like I think I I
know what they're saying, but like I'd
probably have to go to a a grad graduate
school and like get a masters in this to
like really know. And Claude is actually
like makes me be like oh I don't need
that anymore. Like I I any book I want
to read like this like I basically know.
And it just helped me so much in that in
that interview because I could just ask
read like really deep Vickenstein
related questions and he could answer
them.
Yep. Yep. I think that's totally
legitimate. I think some people would be
like, "Oh, you need to read it in the
original blah blah blah." I think if you
care about the ideas and you think the
ideas are timeless and not the ideas are
not about the specific kind of pros that
the original author used, but just
generally like what is the essence and
the gist of what's happening here. If
you care about the ideas, and I think
this is totally valid, right? I I don't
just agree with the people who are like,
"No, you need to read like the specific
uh syllables that Wickenstein used."
Yeah. I mean, I'm also just saying like
I'm I have the book open and then I just
take one of his like statements and just
throw it in there and then it's like
here's here's what what it means or
whatever, which which I think is really
great. Um, okay. So, you're going to
you're going to show us the uh the the
space repetition card. So, what what app
is this?
This is Mochi. Um, interesting. It's
like an I this is the one I use. Um why
uh so that actually I don't have any
cards today because I just went through
them this morning but let me give you a
sense of let me give you a sense of what
kinds of things I have right so
I have um if you go through history
recently I've been planning on
interviewing David Reich who is a
geneticist who explores human origins
and these are especially cases where
just like reading the book I'm like I
would have totally forgotten he names
all these different ancestral groups and
how they combined and in what eras was,
you know, when did the Yamina people
come through Europe? When did the
Anatolian hunter gatherers, you know,
wash over uh Eurasia, all these things
that was just like you read it in one
year, it goes out the other one, unless
you make cards for it. And so I made a
ton of cards about this kind of stuff.
Um,
and you know, so there's examples of
that here. It's especially useful for
hardware and um technical things. So
here I feel like if I don't make cards,
I'm just constantly relearning the same
things because I didn't learn the lingo
the in the right way first. It's not
just about learning the terminology.
It's about understanding the underlying
concepts. Let me give you a good example
of that. So um maybe I I'll step back
and I'll explain like I go through these
cards in the morning. If I maybe you can
see what it kind of looks like if I do
the craards thing.
um I can go through them and
right now I'm like I remember this right
I remember it's u this is the first one
that came up randomly but it's um multi-
query uh attention to not have to use KV
huge KV values and then sharing KV
values between layers and using local
attention and that's the answer now um
it seems sort of trivial right now
because it's just like three things but
like I would have totally forgotten
about this if I hadn't made a card for
this as soon as I read the blog post.
And then it just like I've wasted my
time in the future if I'm learning about
these technologies in a different
context. I just like don't have the
connection to what was happening here to
connect it to. Right? If I go to a
different um category, if I go cram
cards, um this is the the white thing. I
would have totally forgotten about it if
I hadn't made these cards. Um I yeah,
I'm just a big fan right now. I I sort
of I've become a space repetition fanboy
these days. H
how do you think about like the the
usefulness of space repetition in a
world where like any of these questions
is possibly is like pretty much
answerable like with claude with like a
you know one one search.
Yes. So I think it's about not
necessarily remembering this information
but when a future thing comes in you
understand like the conceptual in fact
let me give you a good example of this
right. I remember
sometimes I actually make cards about
facts that I don't even understand in
the moment but in the future the as I
learn more about the field as a as a
sort of territory becomes more clear the
things I said in the card make more
sense to me. So if I um I was reading
some of Colin Burns papers and so I made
this card about like why Colin Burns
thinks that uh alignment is a tractable
problem or understanding what model
thinks is a tractable problem. And um at
the time I wrote things down about like
uh you know features are in a linear
space. What the what does that mean? Um
or like we can sort of see features in
other sorts of categories. And at the
time I'm like I have no idea what this
means. I'm just going to write it down
cuz I read the blog post and there was
no point of reading the blog post if I'm
not going to make the card. Later on, as
I learned more about how the residual
stream model of how attention works, you
know, how what that is and so forth.
This card made much more sense to me in
the future. But I would have just like
totally memory hold or not even memory
hold. I would totally forgotten this
content which required future
understanding if I hadn't made a card of
it. And then when I see the card again
in the future, I'm like, "Oh, this is
what Colin Burns meant now that I
understand how attention works. This is
what it means, right?" Um,
yeah,
this is this is really interesting to
me. So, I want to get into some of the
like the ways that you use AI for for
interview prep. Um, because I think we
we've mostly covered the reading stuff,
but before we do that, I just want to
like understand like what is driving all
of this? like it feels like you are just
consuming massive amounts of information
and turning that into knowledge in your
head. Like you have this in sort of just
overdrive of curiosity which I actually
resonate with a lot. Like I'm I'm
surrounded right now by books. Um and
I'm just sort of like um curious for you
what what that what do you think that's
about? Um
I think I um I've uh I I I I really just
want to know everything, right? It's I I
don't know how to express it. There's a
beautiful passage in a Will Durant book
as he's turning 90 where he's writing a
memoir basically of his main ideas um
called Fallen Leaves. And there's a
passage on philosophy where he says, you
know, as as you get older, maybe with
all the philosophy and history I've
done, I can I've reached some plateau of
higher understanding and clearer insight
or at least I've understood that such a
thing is possible. And
something like that just resonates with
me. I don't know. I just like I find
that idea really appealing. I'm nowhere
close to it, but I just hopefully in the
years to come that'll just be a thing
that um I also really admire people I've
had on the podcast who do have these
self-consistent and really deeply
interrogated world models. You know,
I've interviewed these guests and some
of them um people a couple names come to
mind, people like Carl Schulman or Tyler
Cowan or Burn Hobart. they it feels like
they've really read everything and you
know everything you know is a subset of
what they know and I just um I I I find
them to be super compelling as thinkers.
Of course there's many things they can
still be wrong about. I don't I'm not
one of these people who buy like there's
like a thing where you just know
everything and you can never be wrong,
right? you always have blind spots, but
the abil their ability to which you can
see when you talk to them to connect
anything you ask them about and they're
like clawed six in the sense of like you
start talking about why has a fraction
of finance as a percent of GDP. I
remember asking Tyler this and he has a
right off the cuff just super
interesting answer that connects a bunch
of different disciplines. um you asked
Carl about like how fast um AI hardware
could grow and just like done the sort
of firmy estimates on how fast algae
bloom and how much solar power they
consume and um how many fabs is making
it just like I I I find the sort of
compression of the input they've
ingested over their lives and they can
not only do they know that stuff but
they can really connect it in a really
interesting and compelling novel way. I
I I I find it super compelling.
And and in terms of developing your own
worldview, like do you have that
anywhere where it's like you're creating
like some sort of living document or is
it just all in your head like all the
stuff that you're learning? Obviously,
you have the you have the cards, but
that feels like more like um dots in the
space rather than like uh the ways that
they all connect and and how you think
about everything all together as a
system. Hm. I think um I've been trying
to do more of this recently. Uh and now
that I've sort of built up an underlying
maybe vocabulary or understanding
because of the podcast, it makes sense
to do more of this. Something I've been
doing recently, if let me pull this up.
I've only just started. Hopefully,
there'll be more by the time people are
looking at this, but um I've started
writing, you know, riffs on different
books or things I read. And it if I go
to um
it's basically on my website and um so
just like I can read a book and I have
questions or I connected with other
things I've read. I I remember for
example in when I was in Steven Pinker's
language instinct he was writing the
book before the fox P2 gene that can
help explain human uh language was
found. And so he has all these
observations that are then later
explained by the Fox P2 gene. Um, and so
I can just sort of the sort of
connection that you're talking about I
can do by riffing on other people's
ideas. I actually am curious. Do you
have suggestions on what I should be
doing? Maybe I should be writing more
blog posts or what do you suggest I
should do?
Um, well that's that's a good question.
So uh well before we get there like one
of the things that this reminds me of I
think Claude is so good for reading old
science books because it can tell you
what's outdated and what's what's not.
Um, I do that all the time and I I love
that. I love that little thing. But
yeah, I mean I think basically like
developing a worldview is like you have
to just try,
you know. Um, and you try over and over
and over again. And I I do think like
blog posts are uh really good for that,
especially like, you know, for me like I
have to write every week. Um, and so I'm
like forced to take a view on something.
And generally, if you're like
intellectually honest, you like want one
post to like somewhat like agree with
the last post and your audience will
call you out if you're like just
disagreeing with yourself all the time.
Um, so you're kind of developing a
worldview that way. But for me, like
right now, I'm actually like my big
thing this um this quarter is like I I
just have these like ideas that are
simmering that are like sort of the
relationship between like um language
models and like some deep philosophical
questions that we've been like talking
about since like Plato, which is like
the appearance, reality distinction and
like how do we know what's true and
what's knowledge and all that kind of
stuff. Like I think there's a lot of
overlap there and it requires like it's
going to be like a 10,000word post or
something like that. Um, and so what I'm
doing is I just have like a Claude
project with like I have all these like
little notes and riffs and like and
stuff and I'm just like going into
Claude and being like, "Hey, like
what's what's the thread here? Like
what's going on? Can you help me like
figure out like there's something in me
that I have all these little ideas for,
but I can't quite like put it into an
argument that all makes sense?" And I
think just honestly like sitting with
that for like a couple months I will I
will know what's in there, but there's
something in there.
Um and yeah, it's cool.
Do do you make a clawed project to like
here's some the things I'm thinking, how
do they connect or like how do you keep
track of those things as over those
months?
Exactly. I I mean I'll just show it to
you. Um uh let's let me just pull it up.
So, okay. So, if I go into claude,
um, I have a couple different projects.
Um, one project is seeing like a
language model, which is the title of
this big post, whatever it is. Another
is Zen in the art motor maintenance. So,
this is like a book that I'm reading as
prep for this um this piece that I'm
writing. Um, I've read it a bunch of
times before, but like now I'm like
doing a little bit of a deeper read. And
so I have like the I have the uh the
whole book uploaded and then I can like
ask questions. Then I have another one
that I love called my psychology which
has a bunch of like journal entries uh
goals I've set for myself um over the
years. And then also like things I've
observed about my psychology or things
I'm working on like little aspects of
myself that I'd like to grow or change.
And so when I'm making decisions or
thinking something through, I just go in
there and it can reference all that
stuff so it knows who I am. Uh which is
really cool. Um,
so in seeing like a language model, let
me see if I could pull it up in the
projects uh directory.
Um, so I have like basically I have this
one note in Apple Notes, which is like
uh every time I have a little thing come
into my head, I'm like I just I just put
it in there. Like let me see if I can
find it for you. Um
um I just throw it in here. And this is
like huge and messy and it's like
different quotes from different books
and like just different ideas that like
come to me off the top of my head as I'm
like walking around. And I think that
there's like a thread here in all of
this stuff. Um they're all like I can
see how they're all related, but but
like I can't quite pull it out. And so
like what I've been doing is I just like
throw it all throw it all in in here. We
have uh we have this like all the all
the quotes and all the ideas and
fragments. I have a little bit of a
draft, like an intro, and then I have a
chapter of a book um uh by Richard Rory
that I think is is is really good um
called Pragmatism as anti-
athoritarianism that like kind of
sparked this whole thing. Like I read
that I read an art I read a chapter of
that book and then I was like suddenly
like rereading like a bunch of Plato and
like Aristotle and and like I was just
down this huge rabbit hole. And so um
like what I did for example is I put all
that stuff in here and I was like hey I
have a bunch of notes and some fragments
for of text for a long 10,000ish word
piece I want to write called seeing like
a language model but I need to
understand what I actually think and
make a bit of an outline before I get
started. In order to do that I need to
understand the patterns of what I've
been thinking and writing down and
reading about can you suggest some ways
that you can help me do this. I want to
get from where I am to an outline. you
have access to some fragments, notes,
and early unfinished intro. And it just
like has a bunch of ideas like thematic
analysis or argument mapping or
chronological development. And I'm just
like sort of going down the rabbit hole
with it where it's like um you know, I
asked it to do concept clustering. So
it's like, you know, one of the concepts
that I'm playing with is the
philosophical divide, Plato versus
Aristotle, which I think is like not
quite right. It's actually Plato versus
the Sophists, but like it's it's it's
close or the evolution of Western
thought. It's like how does Plato like
um uh uh how does Plato ladder up into
the rest of Western thought and and into
science and into just the way the
western mind works? Um and then how how
do language models sort of like differ
from that from that um paradigm. Um, so
that that's the that's the basic thing
that I'm trying for cuz I I I I do have
the reason I ask this question is cuz
I'm selfishly like I feel like a little
bit I haven't done the like big idea
thing as much as I really want to cuz
I'm I am writing every week. I am sort
of like reacting to stuff and so I want
to be a little bit more thoughtful. Um,
and this is this is my like attempt to
like put all of it together into
something that like makes sense.
Yeah. you know, as you're going through
this, this really actually makes me want
to write more because now that you're
talking about it, now that you asked the
question, I'm like, yeah, I I should be
sort of consolidating the things I'm
learning in a more comprehensive way.
And in a way, that's also more useful
and accessible to other people as well,
right? I, you know, I spend weeks like
learning about some random what, not
random, but like the things I care
about. I'm about to prepare for Daniel
Jorgen, the guy who wrote the prize.
this a history of oil or a geneticist um
you know AI research or whatever to the
extent that I'm getting something out of
these research processes I should
consolidated in a way that's not evident
in the podcast itself.
Yeah. I mean I I selfishly want you to
do that cuz I'm curious what you think.
Yeah. I appreciate that. You will send
this out through your newsletter, right?
Is is that the main
Yeah.
Yeah. Yeah. This this will go through
through newsletter. I might do something
special for it like um you know maybe
maybe I'll make a little mini site for
it when it when it launches but that's
sort of in the future. I have to
actually I have to actually write it
first. Um so okay so so so let's I want
to move on. I want to I want to talk
about the uh how how you use AI to to
sort of like do do the interview prep.
Um so so let's let's move into that and
then we can also um
uh we can also um maybe even like prep
for an interview together.
Yeah. Yep. Okay. Let's do it. Um I
honestly the interview prep is like it
requires a lot of work but fundamentally
what's happening is not that
complicated. Like I can just show you a
document I might have made in the past.
I'll share my screen. So honestly it
literally is just like I'm going through
I come up with a bunch of questions and
I sort of group them together in uh
relevant categories or if I go to um if
I was interviewing Dylan Patel sorry
this is not the right one. Um
just like a bunch of different yeah just
like a list of questions basically. It's
not that complicated, but the process of
coming up up with them is, you know,
very research intensive. So, we can go
through like if I'm I guess I'm like
only barely started preparing for, we
can go through the process preparing for
them.
Yeah. Can can we can we I just want to
stop at those questions like again
selfishly because I think it's really
interesting like you have these like
long lists of questions that are
organized by theme. Are you like going
down the list or are you sort of jumping
around to
bed? It's really interesting because um
I come up with these list of questions,
but it's like it really never ends up
being I ask question one and I ask
question two and I ask question three.
the it I you know I start off with an
interesting question and if you listen
to the interviews hopefully it comes off
more as a almost conversation because I
spend so much time preparing that I have
these questions basically memorized and
so the next one that is appropriate to
their response if they say something
about um you know me memorization in LMS
I'll have a question prepared about that
or related to that and I'll I'll just
ask it next because that's what fits in
together and so you know I'll have a
list and this is what I'll send them if
they ask for it. But like really just
sort of me off the cuff like here's
here's a question I remember that was
relevant to this in in the actual
interview.
That makes sense. So like the the point
of the doc is like it's almost like
writing the doc is is the prep itself
and it's you don't even necessarily need
it in the interview. Like maybe you have
it just in case. But yeah, that makes a
lot of sense. Yeah.
Um and then yeah, we we can even go
through let's see um I'm doing a couple
of interviews in the future. uh David
Reich and David Reich and Daniel Jurgen.
So the one the performer former is a
geneticist uh with about human origins.
The second wrote the prize which is the
you know the famous book about the
history of oil. Which one sounds more
interesting to you? We can do that
whichever one.
Uh I want to I want to do the famous
geneticists.
So let's go to Claude. In fact I I I do
have his book uploaded as a project. So
we can just use that.
That's great. And so basically what
we're going to do is like we're going to
we're going to watch you and I'll I'll
do it with you. We're going to prep for
an interview uh with this guy. What's
his name again?
Um David Reich.
David Reich. Okay, cool. Can we get like
a little bit of background on David
Reich? Like maybe we can even ask Claude
cuz like I'm you know obviously I'm a
I'm a newbie to David Reich's work. I
don't know. He is a geneticist at
Harvard and over the last decade or so
their research into how have human
populations across the world been formed
basically like how do the who are the
Europeans what groups make them up what
ancient migrations and genocides and
population replacements made them same
with the Indians or Native Americans or
Africans um it's completely changed uh I
mean they've basically sort of like made
many academic disciplines irrelevant
because they actually have empirical
data on like here's actually what
historically happened. You guys are
completely wrong about what you think
your theories of what happened. Um if
you're familiar with Nat Freeman's
challenge, you know, like you you have
these like burnt up squirrels but with
some advanced techniques you can get
some useful information out of them. I
feel it's in a similar vein. Obviously,
they're not the same kind of project,
but like it's a similar vein of like
once we develop the advanced mathematics
or genetics or whatever to understand
what's latent in the genome, um we've
like we've just uncovered a ton of
insight about what's been going on in
human history basically. And
sorry, I'm just going getting nerd
sniped and just going on riffs here.
Like well one of the interesting things
is uh you can see when one population
replaces another whether it was just
like oh we met and like we're like now
intermingling in trading and whatever or
is it like we're committing genocide
against you and you can tell that
because if in the case where it's
genocide or population replacement it
will be that the um the male line of the
population that is invading will um
overtake the uh male line of the
existing population but the female brine
will remain. So mitochondrial DNA is
only comes up in the female line and
you'll see like the female line because
they're getting you know like
the the new men who are coming in are
taking them as wives or something and
then the Anyway, so you can just like
learn a lot about like what kind of
invasion was it? Did they like conquer
or was they were they just like mingling
or something? Um one of the many things
you can see from the DNA.
That's really interesting.
Wait. And so so this is like basically
re-examining DNA evidence of like old
settlements and like basically and and
he's uncovering new ways of being able
to analyze the DNA like what's the
what's the what's the new methods that
they're using to like draw new
conclusions from existing evidence. One
of them is just that, right? Like seeing
how the Y chromosome and the
mitochondrial DNA cuz like you can just
learn a lot about a population based on
how the female versus male male line is
propagated about like what was the
social structure like and so forth.
Another is you can even tell the level
of inequality in a society because if
there's a lot so for example in India um
one of the things that was super
surprising is that the the amount of
indogamy which is to say that the um a
certain cast in a certain village would
just like not there wouldn't be any sort
of intermixing with another cast in a
neighboring village like it to the
extent that's true of nowhere else in
the world and they were able to find
this in India where the amount ount of
um social stratification. You can see
that in the genetic
catalog over the last thousands of years
where for thousands of years these two
neighboring casts haven't mixed um with
like 99% or something which is like even
from sort of infidelity or rape or
something you uh you would expect there
to be more than what actually ends up
being the case. So you can understand
modern uh culture in India based on what
has happened over the last few thousand
years.
That's really interesting. So, I want to
like I feel like you're doing like such
a good job of summarizing his main
ideas. Um, but I kind of wanted I kind
of want you to do the same thing with
with Claude so we can see how see how
you stack up versus Claude cuz obviously
you've you've you've you've input his
his book into into this project. So, it
has it has that as ref as reference
material. Can we ask it to just like
summarize like a few of his main ideas?
Yeah. Can you summarize
and maybe like the techniques he used to
come up with with
this
perfect new so what you're writing is
can you summarize the main ideas from
the book and the techniques you use to
come up with new insights
cool and one thing that's like really
cool about this is like you've been able
to do something like this with chbt for
a long time but ch's context window
isn't that long and So, it chops it up.
Um, and like it's not going to it's not
going to really be able to summarize the
entire thing because of that. You know,
it has to like find the right parts of
the parts of the book and the embedding
search in it is not very good and all
that kind of stuff. And Claude, you can
just like throw us throw a ton of stuff
in the context window and that just like
makes a big difference. Um, okay. So, it
looks like it looks like we've got some
some uh some answers.
So, it tells us that the ancient DNA is
revolutionized understanding of human
prehistory. Um and then we we've learned
that populations today are the result of
multiple waves of migration and mixture.
Uh um and then you know just like a
bunch of other genetic stuff. Um then it
talks about the key techniques about
whole genome sequencing and how they've
enabled these sorts of new new
discoveries they've been making. Um
yeah. Yeah. But but any anyways there's
a bunch of interesting things uh about
uh their research. Well, now I'm
interested in like, okay, so the key
techniques that it's using are whole
genome sequencing of ancient DNA
samples. So, is whole genome sequencing
like a a a new thing that you can do it
on ancient DNA samples? So, it's saying
like by improved extraction and
sequencing technologies is that that's
like
that is an interesting question. So, we
can even ask Cla because I'm not sure um
how uh how exactly do you
sequence an ancient
um or you know a prehistoric
uh genome like can you do like what what
is how does that work? Right.
Okay. So, they grind the bone and they
have then techniques to get the DNA out
of that. Now, another thing we can ask
is like um one thing I'm curious about.
Let's see. Uh I don't really remember
the chapter on um
Native Americans. I could ask about uh
what exactly happened with Native.
Here's one thing I'm curious about. like
um how would okay so I don't even know
if David Reich addresses this himself
but like how would David Reich's
theories
help explain why civilization
suddenly
um emerges
so rapidly
and that too
um concurrently
in the new and the old world
after 10,000 BC, aka the end of the last
ice age.
And then I maybe I'll just like ask
Claude why I think it's an interesting
question. So like this seems like a
really remarkable coincidence given how
long humans have been around, you know?
That is interesting. Well, coincidence
given that human correct my spelling
given that humans
um have been around for hundreds of
thousands of years.
I didn't realize it that we believe that
it emerged like at the same time in diff
in geographically disperate places.
That's totally new to me. I thought it I
thought it was like just in Mesopotamia.
No, it's actually there's a really good
book by um Peter Jackson called The
Great Divide and it's one of the most
interesting books I read. Just as a side
note, it's about Yeah, it's comparing
the emergence of civilization in the new
world versus your old world. So in the
old world um uh in the sorry in the new
world the um coral is like a
civilization in 3000 B.CE
and it's based on fishing and um not on
like conventional agriculture like memia
and he talks about how that changed the
evolution of the culture in the new
world versus the old world. But anyways
um
uh
that's really interesting.
Okay, so major population movements and
uh mixtures
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