Video summary
The video explores an innovative method for reading books that leverages Large Language Models (LLMs) through extensive context management and workspace customization, a process the speakers refer to as "solid" reading rather than just using AI tools. Instead of simply asking an AI to summarize a book in one go, which often yields generic results, the reader meticulously prepares a custom environment by feeding the AI summaries of previous chapters, footnotes, relevant historical context, and even transcripts of philosophical discussions held between the author and the reader. This approach transforms the reading experience from a passive consumption of text into an active, iterative dialogue where the AI acts as a knowledgeable partner that understands the specific nuances, references, and arguments of the book, allowing the reader to dive deep into fascinating rabbit holes without getting lost or confused by missing context.
A central argument presented is that most people fail to get good results from AI because they do not provide enough context, often settling for mediocre outputs before realizing the model's limitations. The speaker demonstrates how investing a few hours upfront to build a rich, customized workspace—complete with summaries of related topics like shareholder primacy or specific company histories—dramatically improves the quality of the interaction. By treating the AI as a collaborator rather than a black box, the reader can challenge assumptions, verify facts against footnotes, and explore complex ideas like "financial gravity" or historical business ethics in real-time. This method rewards intellectual curiosity and allows for a level of erudition that previously required years of study, as the AI instantly provides background information on obscure references or literary allusions that might otherwise be missed.
The process involves a structured workflow where the reader summarizes each chapter, checks the reduction ratio to ensure conciseness without losing meaning, and then synthesizes these parts into a cohesive whole while maintaining the ability to dig deeper into specific anecdotes, such as the stories of Jack Welch or the Boeing disasters. The AI excels at this synthesis, capable of handling multiple chapters simultaneously and identifying gaps in logic or missing pieces that the human reader might overlook. Ultimately, this technique not only makes reading more effective by allowing for a much deeper engagement with the material but also creates a unique, personalized learning experience where the boundaries between reading, research, and conversation blur, offering insights that go far beyond what a standard summary or a linear read-through could provide.
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Yeah, everybody wants it for all their
ebooks now. Yeah, me too.
>> And guess what? You can have it.
>> Um, okay. I'll uh share mine then. Um,
thanks Jono. That was super fun and it's
interesting for me to see, you know,
places of overlap and and difference.
Um, so yeah, I used ho um
gist to create my
book
uh directory. Um, I opened up the
introduction
and you know at the bottom of it
um I was like I don't want to read the
forward just yet. I'll skip ahead. So
just summarize this for me.
Um,
it's like that wasn't much of a summary
at all. I don't know. It's like, oh,
it's a
the blueprint. It's like, what
blueprint?
Anyway, uh, I had a I had a couple of
backs and forths and got to a quite a a
useful
summary of um, of the forward. So then I
um
uh I actually ended up opening pose just
as a dialogue
um thinking I'd kind of edit things. I
didn't end up editing much at all
actually. But then what I did was I I
grabbed that summary of that I created a
bit more manually um and popped it in
um here and um
wrote that to a a file um called summary
zero and then I just said okay go and
look up stocks and create a summarized
book which and you know should include
the sample sum for in context learning
use XML tags
blah blah blah
um and I don't know if I ended up really
keeping anything much of that it's
always nice to have a starting point so
at least to go the imports
Um, so read in chapter one. So I kind of
like it gave me more of a allin-one
thing when I split it into a separate
bits and did it each one separately. So
then my prompt was like example summary
chapter.
This actually seemed pretty fine.
Um
um
and then I was like, okay, this kind of
thing was just like, okay, stick that in
a single gather to do it all at once for
me is stuff I can't really be bothered
with. So I just said, go ahead and write
them all. I've done it a thousand times,
which I don't need to do it again. Um so
it went ahead and called that function
for all of the chapters. Did them all
together at once. This is a nice thing
about LLMs. You don't have to use a for
loop and wait for them. They can do them
all at the same time. Um,
I always forget this kind of thing. It's
like, oh yeah, what do I do now? It's
like I just called dot done. It's like,
of course, it's not ready. So, again,
pretty boring stuff with like just
keeping dot every second or so until
it's done.
Um, it's like, okay, a minute later it's
finished and I've got a whole bunch of
summaries.
Um, and then I
took a look at one of them. Well, first
of all, I've took a look at the chapter
and then I look at the
summary and then I find that models are
better at reviewing things like this
than they are at creating them. So I
asked it to have a look
um and uh yeah check the size of the
reduction.
Uh that's that great. Okay. So now
summarize. So create a create put all
the summaries together into a single
string.
Uh and now all right summarize part one.
So it's much easier for it to summarize
summaries I find than it is to summarize
a book because it kind of now has the
pieces. Um
and again it's like okay look at your
own summary.
Um
and uh yeah it identified that there's a
whole missing piece around shareholder
primacy which I actually agree now that
I've read it was an important piece.
>> Um
so yeah I think I went back and made a
few edits but it was basically I hadn't
read the book at this point. So there
wasn't much I could do other than just
checking it looked sensible. Um, so I
did a similar thing for part two
and uh it showed me how we can check the
percentage decrease in each time. So
it's an 80% decrease in words for each.
We did part three.
Um,
uh, great. Now take the three part
summaries and create a single book
summary.
Um,
I was like, I had a thing of things, you
know, let's not actually say what the
epilogue says. [laughter]
I ended up writing my own
epilogue summary.
Um, and I was like, h, it's not a very
good summary at all. Do it again rather
than just a disconnected bunch of
stories. And actually, the the new
version it created was much better. And
I appreciated that it left the uh
epilogue just the way I said it.
Um
so then it kind of cool because now I
could grab our entire um launch post and
I um popped it in here and asked it to
summarize that for me.
Um
so I was like, "Okay, summarize the
launch post." And then um Eric last year
flew to Australia and spent a couple of
weeks with me. And the main thing we did
was we recorded I don't know a dozen
plus hours of discussions that we would
kind of form as the philosophical heart
of the company. Um for me and for him
and for everybody else to look at from
time to time as needed. So I grabbed
some of those and uh uh summarized that
as well.
Um,
so yeah, again went through a few
versions of that.
Um, and again did it in a similar way
because this was a two-hour discussion.
So I went through each part and then put
the parts together. And so then from all
that,
um,
I just did a bunch of ad messages. And
so I've got, in this case, this is
chapter one. I've got the whole book
summary. I've got the part one summary.
And I've got the summary of the previous
chapter and the next chapter. I've also
got the summary of our launch post and
of some of Eric and my discussions. Um,
so you can see here is our summary of
the launch post. So it describes,
you know, Jeremy and Eric launched this
thing and this is kind of the analogy
and this is who we are and blah blah
blah, right? Um, so founding principles.
So this is all just the stuff that's
been added. So Eric, at this point I'm
just going to stop here for a moment and
say and so then I also grabbed all the
footnotes and I put them at the top so
that way it can see it can see the
footnotes when we get to them and know
how to reference them. And then I was
ready to start reading.
>> So Eric, I remember your comment when I
showed you this. You sounded a little
surprised. You're like, "Wow, that's
more,
you know,
>> yeah, complex setup than I was
expecting."
>> Yeah. Yeah. I wouldn't I would it
wouldn't have occurred to me like I I'm
a big believer I definitely have found
it's funny and obviously because we've
been working together I have learned
that the more context you give the LM
the better the results you get and the
more you tune the outputs that you want
the so I know the principles that you're
describing to get this output and yet
even I was really surprised I was like
oh I see that's a lot more effort than I
would have put into preparatory work
here instead what I would have done is
done something like far easier
gotten a halfway a good result, then
tried to use it in context and gotten I
would have gotten stuck downstream of
this and then be like, "Oh, the LM's not
good at this. Forget it." Instead of
like really having dialed in like this
is the information like a person would
need
>> to be able to help me with this test to
be my partner in
>> Exactly. That's a great way to think of
it. Yeah.
>> So, yeah, it was like and it's just so
clear to me that most people who are
using AI are just not giving the AI
nearly enough context. And part of that
is because the tools they're using are
have are horrendous at context
management. So this was it was it was
very helpful for me actually to watch
how you did it. And
>> it's very different isn't it to the kind
of
standard claude code Gemini whatever
thing where people are just like
write a piece of software for me or
whatever. It's Yeah, it's
>> requires a certain amount of respect for
the work you're doing to feel like
>> and look, I mean, honestly, Eric, it
didn't take me long. It was maybe two
hours, you know. Uh
>> oh,
>> compared to time you're going to spend
to read a book, it's like two hours to
read like to make your reading of a
book, you know, dramatically more
effective is such a good investment. And
yet even even now I'm like two hours
that is sounds like kind of a lot, you
know. I'm just like funny like if
something's not two minutes I'm just
like I don't is it really necessary?
It's just like what are we doing? I I
just Yes. Our attention spans collapse.
Um the idea of preparing your workspace
>> to do a task is becoming like
inconceivable. It's crazy. It
>> it feels like that's a a thing that I
use Solit. I was explaining this to my
housemate. He's like, "Oh, what is Sol?"
like, well, the first thing you do in
solit set it up as a workspace for the
thing you're about to do often, at least
for me. And for me, that's that's
usually like I made some fast HTML
widgets because I like doing that and I
made sure the context was there and I
put in some pictures of what I'm trying
to do and I wrote down the plan. It's
it's like the architect sharpening his
pencils or Jeremy like preparing his
canvas, you know, like it's you're
you're putting in all the pieces to say,
"Okay, now it's not solvent anymore.
It's solid for reading Eric's book,
which is a very customized experience
that Jeremy's just crafted.
>> And then the next time you go there,
your desk's all set up. You know, you've
got all those pieces.
>> Um, and that little investment up front
makes it a very different tool to the
vanilla case.
>> This in the next lesson, too. The level
of tool customization, workspace
customization that I've I've gotten used
to now with Sol It is like really other
people find it very extreme when I show
it to them.
I I I I will say and I I talked to Eric
about this earlier today and I was
almost embarrassed but he was
great about it. So I will say at first I
was like oh okay it it's a business
book. I know how I read business books.
It is a business book. It's a book about
businesses. It's about business. And my
normal way of reading business books
including you know hands up the way I
read the lane startup is you know read
the first pair par paragraphs of a
chapter try to get the general idea scan
through to find the key idea keep
scanning through to see if there's
anything else of interest move to the
next chapter or find one of those
fivepage business book summaries and
read the five pages.
Um and
the you know and I the lean startup was
quite a small book and it had a really
important idea but it didn't take very
long to get the hang of the idea. Um I
don't think this approach to reading
would have given me nearly so much if
the other business books reading the
lean startup but yeah Eric you said
you're actually quite pleased to hear
that my view is the new book it's
dramatically different in in scope and
approach and every time I found myself
reading something I was like well that
sound kind of interesting I wanted to
dive deeper and by that stage you had
moved on and I wasn't in the book And I
wasn't ready to move on. I was like,
"No, tell me more. It's solve it really.
>> I don't know like it's taken me way
longer to read the book with solve it
than without because there's so much
>> so many rabbit holes I'm finding that
are fascinating.
>> Yeah, this book took me dramatically
longer to write than the lean startup
and it required far more like artistic
craft because there are numerous places
in the book where I pass over in as
little as one sentence.
>> Yeah. a rabbit hole that you could spend
a whole book on just that topic or
>> Well, I can show you some I found. I
mean, you've already kind of seen them
in my book.
>> It was really fun for me to watch the
>> 300 off odd things, but I'll kind of
share a few of them with our audience.
So, um so here's chapter one. Um and I
had never heard of Soul Price, the
founder of FedMart. And but it was nice
because Eric starts with a personal
story of his experience at going to this
shop. Um and after I read a bit, I just
stopped and I was like, "Okay, again,
I'm in learning mode. Start. Who Who am
I? What am I doing?
What are we doing?" Spit each paragraph
up. I finished reading the first bit. I
posted in this information.
you know, uh, what do you think? Is this
interesting? Like I I just thought I'd
start with a pretty do you think this
sounds like it's going to be interesting
to me as the CEO of AI? And it's like,
by god, yes, [laughter] it's almost
eerie.
Um,
>> this dude got ousted.
>> Eric's tried to stop you from letting
that happen to you. Um but you know
co-evolution philosophy of so it's so
it's got enough information um and it's
very authentic because it's like
literally internal only discussions that
Eric and I had in the in the context
um
so like what do you think about that
parallel like yeah definitely very
intentional uh and I can just I can do
shorthand now it's like yes those
experiences his thing and I don't need
to explain them because it's all in that
background. It's like, "Oh, yeah, yeah,
that I can see." Like, it's like talking
to somebody who knows everything about
my experience and has read and it's it's
got the whole of the big uh the previous
chapter, the next chapter, it's got the
part summary, it's got the whole book
summary.
And then I was like, this is kind of
fun. Like, what do you think about this
approach to reading, you know? So, I'm a
big fan of this guy called Peter Wnjak
who created this incremental reading
approach, this thing called super memo,
reinvented what Anki is based on
repetitive spaced learning. Um and uh
yeah I came up with some ideas about
other analogies.
Um so I actually mentioned this book
earlier how to read a book. This is the
guy who is the chairman of of
Encyclopedia Bratannica. Uh it's like
yeah this is kind of normal though
because you've given me the uncle all
the context.
Um,
so then he was like, "It's also a bit
like this Andy Matshack thing." I was
like, "Oh, I know Andy. [laughter] Uh,
do you think I should tell about this?"
It's like, "Yeah, here's some
connections."
>> Um,
so yeah, so that was kind of fun. It's
This is kind of a new primitive
um that's different. I think it it's
probably something that just
technologically wasn't possible until a
small number of months ago.
And so anybody working on and I was like
yeah I've actually got 2,000 people on
teaching this too. So [laughter]
it's like is this generalizable
back?
>> Yeah it is.
>> Would you like to you know [laughter]
keep going this rabbit hole?
>> Uh yeah. Yeah which is fine. I I you
know it's uh it's all good. So,
so folks in the course
you're this is reminding me a lot of
lesson one of fast AI the first time we
ever did it where I was kind of telling
people no one's ever tried to teach this
to non-PhDs before nobody's ever done it
this way before no one's ever focused on
transfer learning before so we're like
this is actually something quite
so tell us how it goes tell us what you
try it with tell us what else you mind.
This is not the final version of how to
do this. This is our current best guess,
but um I think it's been great for me.
So, one thing that's actually quite nice
now is that I can hit F and these
buttons are the colors of different
types of green for notes, red prompt.
So, I can click on prompt
and uh that'll go away and find all the
prompts. And so I can now scroll through
the prompts.
And
there we go. Find the next prompt.
Dismiss.
Um, and so now, okay, so I was reading a
bit about ethos
and uh it's just talking I was just
interested in the story talking about
this guy price and his approach to
building companies and it was like, oh,
they have much less items. I kind of
thought, well, isn't that like didn't
work because Amazon stocks all the
items? I was like, is that now not
relevant? I like, no, no, no, no, no.
Actually, this is what's turned out to
be huge. You know, it's like, oh. So,
it's kind of cool as well because as I
read, I'm as Eric knows, I'm such a
skeptical person. Even with Eric, I will
often like, yeah, but really, Eric, and
you know, it's great to be able to dig
in and be like, no, actually, Jeremy,
really? like, "Oh, okay. [laughter]
Eric has a lot of interesting tidbits."
Um,
okay. So then, um,
you know, he's talking about
like a problem that happened and I I
don't know if like Eric's just assuming
the reader knows more than I do or what,
but he's kind of talking about the
problem with placing stock in the open
market. It's like, why is that a
problem? Um
I like here we go. It's like okay that
was exactly the right thing to ask and
um
again I was like I'm sure you know like
some of these companies really did go
against standard principles and
succeeded anyway. So uh so I found it
was helpful to be able to push back and
it's like no no Jeremy this is actually
proving his point. It's like ah okay. Um
so I actually mentioned this to Eric and
Eric was like and um Eric was like oh
well there is an investment thesis here
and it's actually also in the book. So
[laughter]
um but also it it it it knows what's
coming up.
Um so it's like yeah you're going to get
some answers. Um, okay. So,
I found it helpful to Yeah. dig into
some more details. So, I'm interested in
contemporaneous accounts. There's like I
I want to understand what happened like
cuz often I find when you dig into these
things, it turns out there's kind of
more nuance. You know, it's right
there's not a bad guy and a good guy.
And it was helpful to me to start
learning more about what actually
happened in this particular story, how
things set up and going in deeper
definitely made the book more
interesting for me. Um,
so you know sometimes author as an
author one of the hardest things of
something this is like there's certain
people that love the narrative richness
and detail of a story and some people
are like yeah just get on with it.
>> So you can't you can never give enough
detail to satisfy everyone. You either
do too much or too.
>> No. Exactly. And so for me when you said
here like driven by its new ethos of
greed. It's like
>> this is another of my like really Eric
like you haven't showed an ethos of
greed. It's like well is there any it's
like well maybe some of it's greed some
of it's not. And in the end there was
this. It's like okay is this
that's cool you know like I I enjoyed
this.
>> I was like it might be editorializing.
It's like no it's editorializing. That's
my job as the [laughter] as the editor
of this document. It is my job to
editorialize and say what is actually
happening. Yeah. [laughter]
>> Yeah. Um
yeah. And again some of these things is
like uh talking about this thing called
the silent monitor of like colored
wooden blocks and it's like
>> this is awesome.
>> Sounds horrible. [laughter] I was like,
well, it's a bit, but it's better than
corporal punishment, which is what the
alternative was at the time. [laughter]
>> So, it's nice to get this historical,
you know, and it's like, oh, yeah, this
is actually a famous teacher who has
these traffic light cups where students
>> put little colored blocks up and tell
the teacher how they're going. It's kind
of like, yeah, that's kind of cool.
>> Um,
>> I love this. I didn't know the Williams
thing. So, I like I learned something by
watching you read the book. It's really
fun.
So again I found each time I found
something like this some story like
happened was like tell me more you know
and actually yeah so for me this kind of
relationship with Jeremy Bentham was
kind of interesting
um there just a lot of stuff in here
which is every time I drilled more into
one of Eric's stories you know there was
more and more and it turned out this
whole Bentham connection Jerick told me
he'd never really drilled into it either
and it was kind of this weird with like
two contrasting world views that ended
up one a socialist, one a free market
utilitarian.
Um
anyway, so
that probably gives a sense of how I was
reading this and then it helped me think
more about like
trying to find more quantitative
approaches to thinking about this, you
know, and I was thinking like, oh, can
you like track ethical investing funds
and their success. And it's like, well,
these like ESG funds are kind of meant
to be like this, but actually ESG
investing in Eric's approach are pretty
different.
I was like, well, how do you like study
this without cherry-picking? I'm not
actually sure it's possible.
Um,
because actually you're thinking like
maybe ESG funds don't really think about
ethos and that. That's right. the G in
ESG is actually often kind of ignored.
Um,
now this is fun. So then we've got code,
right? So Eric sent me this message.
It's like, well, there is, you know,
this chapter 15 reference. And I was
like, okay, go read the chapter.
Come back and tell me what it says. So
it's nice that you can, you know, code
and read at the same time.
Um,
and then it's like sounds like a
potential answer opportunity.
[laughter] Thanks.
>> Uh, yeah, this is kind of interesting
because then he was like, "Okay, let's
talk about some shitty things that have
happened." And I was like, "Oh, this
shitty thing. I vaguely remember this
shitty thing." And I was like, "Wait,
wasn't that the guy where the CEO
somehow made buck by destroying it?"
It's like, "Oh, yeah, that's the guy."
He was worse than I remembered. C was
the CEO, chairman, transaction partner,
landlord, and banker at the same time.
And it ended up making over a billion
dollars by destroying the company. Um,
so yeah. So these are all fun.
>> Polaroid was interesting. Yeah. I I
thought these were all fascinating.
>> People utterly forgotten the Polaroid
story, but
>> yeah. But then I was like, well,
there's lots of companies that have been
horrible, but still succeeded.
Mhm.
>> Um
>> Lord's list of naughty list companies.
That what that was there?
>> Yeah, there's a few of them here. You
know, then I picked my own one like
[gasps] Yes. Henry Ford,
uh Goon Squad.
>> Yeah.
>> Uh Thomas J. Watson. [laughter]
Um and again, this is helpful, right? is
just to talk through like well does this
invalidate Eric's thesis and it's like
no actually it doesn't because actually
Eric's just saying that it's possible to
create a company that doesn't suck and
when you do people try to make it suck
and there are things you can do to stop
that from happening but you can still
create a company that sucks and try to
get rich doing so anyway I found uh
chapter one very interesting
Um,
oh yeah, it reminded me of like when
Ford created a whole South American
city. Have you guys heard about this?
But you never even visited.
>> Um,
yeah.
Um,
[snorts]
okay. So yeah, this is helpful to like,
okay, let's just summarize what what's
actually being claimed in the book and
what's not being claimed in the book.
And I was like, and then Eric said,
well, maybe you should read the
introduction. So I was like, okay, I
will read the introduction. So I went
back and read the introduction.
>> Um, so this is close reading, you know,
and um I
>> Oh, this was interesting. Yeah. So I
kind of checked this. So sometimes
figures just seem a bit crazy to me and
I just checked them. It was kind of
nice. So, I went and grabbed the It
helped me cuz when you say search,
right, it puts the little Well, there's
also stars things for here for where
Eric had a link
>> in a footnote.
>> We turn them into links. Yeah. Which is
really handy. So, I organized that for
us. Um, and so I went and check. Um,
so anyway, so it's it's nice again. It
kind of get helped me get over my
skepticism, recognize what exactly the
facts were.
Um,
so
this is great. Eric then asks some
questions in the book. I was like, well,
does your organization have an ethos?
Like, I'm pretty sure we have an ethos.
Is, you know, I'm not sure I could say
it in a sentence, but I'm pretty sure we
have an ethos. I say, yeah, you guys
seem to have an ethos, you know, here.
But there seems to be a lot of bits of
it, and it's kind of helpful. Uh, I
ended up thinking through this. I ended
up going through these three questions.
I then was able to talk to my co-founder
who happened to be the author of the
book and said like, I've gone through
your questions. Here's what I found. Um,
yeah. So, Eric, what what strikes you
about this
process so far and what I am getting out
of the book as it pertains to
answer AI, etc. Well, I think it was
really um you you are a both you are
like a highly skeptical but also good
faith reader which I find to be a very
um unusual combination. So you're going
to get the most out of it because if
you're credulous and you just believe
everything that the book says, you know,
then you're not actually really going to
learn a lot. Um so it's good to have a
certain amount of skepticism. It's like
I want to understand what's going on.
Yeah. Like when you you are willing to
say when you don't understand something,
you're willing to ask about it. Um, I
think that's going to give you a lot of
you're gonna get a lot out of that um
that fact, but then you're a good faith
reader. Like there were a lot of places
I could see in your dialogue where you
were like, "This doesn't make sense to
me. I think it's wrong." And so it would
kind of gently push back and be like,
"Here's some additional information."
And you' be like, "Okay, that makes
sense." Um, so that's I think that's
like the the intellectual curiosity that
is necessary for close reading. But in
if you go if you had if you tried to get
a humanities degree at a you know elite
university the other thing required for
um close reading before AI was a level
of erudition that required years and
years and years of study because the
books like this are packed with
references and and links to studies and
mentioned things mentioned in passing
that you just are supposed to just know
that stuff or go to a library and look
it up. So to be able to like in the way
that you go just on your way be like
that seems odd. Like I don't know I
think in your dialogue you had one where
you're like is this a is this a
grammatical error or something else? And
it's like no this is a litary reference
>> not yet past.
>> Yeah. To the not yet. I love that made
me so happy because that's you know if
you
>> if you know that if you know that
reference then this you get a then the
the passage is more um is more valuable
to you. You get more richness out of it.
And if you don't, I tried to pick things
where if you don't, you wouldn't be so
egregious that now you're like
completely lost and confused. So, it
rewards those who are willing to to put
in the energy. And and some one of the
biggest things I I've learned in in this
is that some ideas have to be
communicated in this like
multi-dimensional way. There some ideas
that just cannot be stated as a series
of thesis and consequences and like
really linearly explained. And so like
closed reading is one of our
civilization's oldest and most powerful
technologies for trying to communicate
the gestalt of a thing, the overall
holistic understanding of it more than
just what can be communicated in
language because languages are limited.
And to me it's so interesting
philosophically that it's a large
language model somehow is able to help
with that when all when the only thing
it has at its disposal is language and
learning about language. like what what
a trippy postmodern theory this is going
to turn out to prove correct.
>> I there's another one here, Eric, which
I'm sure you'll remember because I
mentioned it at the time, which is I um
started reading the next chapter. So,
chapter one I was just like that was
awesome. I just I found it really easy
to read. It took me hours to read it,
much longer than normal because I read
so many other things because I found it
fascinating. And then I started reading
the next chapter. I was like, it's not
quite falling for you know great for me
at the moment. So, and so I was like, so
I I wrote to Eric and I said, Eric, as a
sequence of messages like, Eric, this
chapter is not really working for me so
well. Uh, Eric, I guess that wasn't at
all helpful. Sorry. [laughter]
Not actionable feedback. And then I
asked Slen, it's like, uh,
different to me. Is it different?
>> So, I gave it the tour and it's like,
okay, here's what I see. you know, this
this this this versus this this this
this. It's like this this. It's like
does that sound? It's like ah that's it.
It's like really interesting to me that
it was able to take a vague sense I have
and it did this a few times and uh there
was one particular one later where I had
like three or four prompts where I was
just like yes yes let's dig into that.
Yes, let's dig okay what about writing
style? What about word length? What
about sentence length? And it really is.
It's very good at this literal kind of
glittery analysis, don't you think,
Eric?
>> Oh, yeah. It's great. It's it's super
helpful. And yeah, and it helps you put
into like we always say that like LM's
like the thing that they're the very
best at is summarizing. So like to to
summarize a vague thing and make it more
concrete like this is just something
that's so it's so good at better it with
the tiniest hint of what you're trying
to say. It is way smarter than if you
just ask it to do an analysis on its
own. Like just given like it's an
attention mechanism. So given the
slightest hint that this is where you
should put your attention, you know,
it's like one of those like spot the
difference puzzles
>> where it's like I tell you spot the
different or like where's Waldo? It's
like so hard like where's Waldo but he's
standing next to a tree.
>> You're just like now I've just cut your
search base down by like a thousandx.
You're going to solve the puzzle in no
time.
>> Very much like that.
>> Um I will say though this chapter 2 just
went crazy. It was so cool. Um, so, so
again, I just encourage people read this
book and go deep, right? Because there's
stuff about Boeing, and I'm sure we're
all very interested about Boeing. 3M is
a company I've admired for a long time.
Um, and I just didn't know about this
connection that between Boeing and 3M
and basically a guy who screwed up 3M
then went on to screw up Boeing and got
CEO of the year. But with these things,
it's very easy, I find, to just be like,
"Oh, people in the past sure were dumb,
weren't they?" It's like, "Hey, this is
not long ago." When B, they're the same
people.
>> So, I kind of like to be like, "Okay,
what?
>> Let's get our generous perspective like
what actually happened."
>> Yeah. And what actually happened was
well, they're financial performance
improved and they made all this money.
and his, you know, they had these
scandals and,
you know, um, the very things that ended
up screwing them up, you know, hollowing
out the engineering culture.
One professor now says he's the worst
CEO in history. So, I I don't know. It's
like it's easy to be overly beused by
this kind of thing, but I think it helps
to
>> I had to take that quote out of the book
because people felt like it was I was
being so over-the-top critical
>> and I'm like I didn't even say that.
>> Yeah, people still couldn't handle it.
But yeah, but because people can't
believe like most people would not
sacrifice even a single human life for
moderately better shareholder returns
over a short-term period, let alone
hundreds of lives. Yeah.
>> So they can't imagine that if somebody
did that
>> um you know that they're they're
anything more than a cartoon villain.
>> Yeah. No, exactly.
>> And it's complicated. Like I'm not and
to be clear, I'm not saying that he
killed he's not like a murderer. He
didn't kill somebody with his bare
hands. In fact, by the time by the time
the crashes happened, he didn't even
work there anymore.
>> But if you read the reports of people
who have like tried to aortion
accountability for what happened,
>> this is not history. This is the not
even past. Like this is not some ancient
history. Like this is a direct causal
connection.
>> Yeah. No, Eric, I really did try to dig
into this. It's like it's so he wasn't
being malicious, you know, he was using
the GE playbook. He'd been successful
for 19 years. These methods had worked
in certain ways
>> and
he had had this successful business
background and he didn't have any
indication of poor judgment.
um the process adopted by the head of GE
and I was like okay I I want to learn
more about this right like so I I kept
like okay well what about Welch because
that was interesting because for me
Welch was a CEO at at at GE at a time
when I was in management consulting and
you know and uh and I've met Jeff Eml
one of you know his successor and had
dinner with him and didn't think he was
an impressive guy to be honest but
that's that's that um but Welch
everybody was like welch was like what
an amazing great guy and it's like yeah
you know he took a company from GE from
15 billion to 594 billion 2500
shareholder return percent shareholder
return
um whatever but yeah actually
um
the company ended up falling apart um
eventually
>> that doesn't even exist anymore today.
They're now three separate GE companies
that it's been split up into.
>> Yeah. And none of them No, you can't buy
a GE microwave. My best ever microwave
was a GE microwave. They don't make GE
microwaves. Like they literally don't do
the things that were good. And I was
like, well, by the way, there was
another Welch buying.
>> And it's like, well, actually, four of
the 13 unsuccessful
>> Welch mentee CEOs were all at Boeing.
And the more I went into it, the more I
was just
Boeing's board faced with a 737 Max
disaster hide. Another Welch disciple.
I say, "Wait, who was on the board?" Ah,
well, uh, a Welch disciple, [laughter]
uh, who was, um, uh, head of private
equity at Blackstone. Oh my god, it just
Yeah. So, the more I dug in,
>> the more I saw all these connections.
Um, so anyway, that was
>> and what's very hard for contemporary
readers to understand is how much praise
all these people were getting constantly
as they absolutely topic discuss in a
future chapter.
>> Now, what happens then? Okay, I didn't
mention this at the end of chapter one
is um I'll show them actually because
they're so cute. Um,
chapter
one
read one. I want to show you some of the
logistics of how to make this all work.
Um,
so at the end I said, okay, we're done.
I'm going to start a new chapter. That
means a new LM, new version of you. Uh,
so please write a long detailed careful
explanation of everything the new you
will need to know. I said I'm going to
give it the same summaries
uh but explain how this everything's,
you know, going to work. So it
wrote all this which is great
and this is adorable. Good luck future
me. [laughter]
[gasps]
Um, it's kind of funny to see it's like
summary of what Jeremy's like.
[laughter]
Um, so then I said at the end of this
one, okay, add more handoff notes. I'll
be added into the previous handoff
notes. Um, and I added these a little
bit. And so then I opened up um, so the
way I did it then was I opened up well I
I I grabbed chapter uh,
three. It's actually what I did is I
duplicated chapter 2B. I called it
chapter 3B.
I then opened up chapter 3
and actually it's quite convenient
because um there's one H1 at the top. So
I hit left and that um
sum that creates a single elapsed
heading and then I hit C and then I
opened up my 3B and I hit V and it
pasted into the right spot and I hit
delete below for the bits that was
previously the 2B.
And so that ended up with
it takes like less than five minutes
now, like maybe two or three minutes to
create, you know, to start each new
chapter. Um, so I end up with all the
same stuff at the top. For the
summaries,
I have these commented out bits. So I
just change the two chapters to be the
next one and the previous one. Delete
the previous two. Rerun this message.
um add my handoff notes.
Um and then start reading again.
Um
so that's my process and then um
yeah I was kind of like kept on kind of
trying to address some misconceptions I
had along the way and also tried to make
sure that I was regularly say like
saying like help me think about how this
might apply in my situation. Uh,
>> you know, I think that's something
that's under underrated in this in these
dialogues is how well it was able to
come up just with like interesting
things for you to think about.
>> Exactly. They were they were they were
they were not always at all things that
I was thinking. So, this particular one
was about financial gravity. So, Eric,
what's a quick summary of financial
gravity?
>> Financial gravity is the pressure we all
feel to conform to the values of whoever
has more resources than we do. Um, so in
this book especially, it's about the the
pressure that the financial system
exerts on organizations to make them
conform to a certain set of values that
may not be the or the values of the
people who run or even own that
organization. And I found this quite
fascinating that you actually linked it
up by to evolutionary roots. Um,
fascinating enough that I actually
wanted to learn more about it. It turns
out there's quite a bit of academic
literature here in a whole area that I
just wasn't very familiar with. I mean,
I'm quite familiar with some
evolutionary psychology, but there's
stuff about evolution of prestige and
conferred deference and dominance psych.
This is all new to me. So, lots of uh
interesting papers to dig into.
But yeah, so when I was thinking about
that, it's like, yeah, you know, some of
this external gravity, you'll probably
be fine. You know, Eric's designed your
governance, you know, but
yeah, have you thought about
these things? So like subtle pressure
for people to not along.
>> We've seen that.
>> Mhm. For sure.
Um, you know, will your evolutionary
reflexes kick in anyway?
Is there a chance these third parties
could influence things? Uh, yeah. So,
that's as far as I'll go with with all
this, but I mean I
um
I don't know like this is
one of the absolute best reading
experiences I've ever had. Like I'm I'm
trying to think is it the best?
>> Mhm.
>> It would be up there. Like I've had a
few, right? So, I remember the first
time
I read Richard Dawkins, that was 30
years ago, and he started out with a
chapter describing how he wrote a
computer program on his Macintosh
computer to evolve pictures of
butterflies, and I'll never ever forget
it. I remember reading the Mathematica
book like 25 years ago where Wolram
basically takes you through so much
stuff in like six or 700 pages. There's
a few books I've read where the reading
experience has been amazing and this
is up there and I think part of it is
because you've put so much time and
effort into this book and it's an
interesting subject but I think also
yeah you know it's um
this way of reading I think you can you
can tackle books that are more deep in a
more deep way than you otherwise could.
What do you [snorts] think Eric? Oh, I I
listen I as the as the author, it's
incredibly rewarding. I now the test
will be, you know, we just turned 2,000
people loose on this, so I'm very
curious to see [laughter]
how people respond to it. So So I know
we're I know we're go going way over
time here and I'm I'm gonna I'm gonna
miss my flight if I don't.
>> All right, get going.
>> But no, but I just think this is so
riitting to me. I'm really glad we got a
chance to do it. And and um I think
we've only scratched the surface of what
is possible here. like when we look back
on this video a couple years from now,
we're just going to laugh at how
primitive it seems because I think this
is there's so much more to be done here.
So very excited for people to pioneer
and play around and try new things. And
I'm just ever grateful to everybody
who's taken the time to do it.
>> Thank you so much, Jon O. Thank you so
much, Eric.
>> Thanks, everybody. And have a good
flight, Eric.
>> We'll talk about how to make such books.
>> Bye, gang. Take care. Look forward to
it.