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Yeah, yeah, get in here class.
This is good. Okay,

2
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how is it going? How is ARP con
this time around? What's changed?

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>> Um, well, we're in a phase.
All each one

4
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of these things like marks a time. First
of all, you guys are even more ball or

5
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more successful. >> Thank you.

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>> Some tendies in your pocket.

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>> I think it might have been part two
you got to say thank you. You blew us up.

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You were the biggest guest.
>> You're looking bigger and stronger

9
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somehow. [laughter] Hey,
are you more attractive in your

10
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personal life now randomly? >> Well,
here's what we're actually focused

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on dead hangs. >> Yeah,
so you came on last time you said

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your dead hangs around like five.

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>> Oh, no. It's it's well, it's plateaued
in the last couple months at 5:30.

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>> 5:30. Okay, so we the thing
is like people are going to

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hear that. They're going to think
hanging on a bar how long could it be?

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You got to go and do it. The audience
has to go try to do it. We've started

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doing it. We're still
in the >> Under two minutes.

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>> in one between yeah, between somewhere
around a minute 30 you feel like your

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tendons are going to rip.
>> 30 1:30 dead hang is respectable.

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>> Okay. >> Two minutes is super elite.

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>> It doesn't feel respectable when
you have the five minute number you're

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looking at the time. >> Strength
strength strength matters. Now,

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the the the thing is I don't want to go
into rabbit hole in training. The single

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biggest mistake people make is they
try to hang every day. You need recovery

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second thing else. So, if you want to
mimic and get progress, you just do what

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I do which is once a week you hang
as long as you can. Doesn't have to be

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super macho. And then that's your day.

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So, let's just say you can do 1:30.

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>> sets? >> No, no, you know,
one day a week you do your maximum.

30
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>> Maximum. Wow. >> So,
like let's say you could do two

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minutes. You try to do at least 1:30.

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You fight to get to 1:30, but you
don't fight to get to two minutes.

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>> Got it. >> That's your
dead hang day. And then you

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can basically [__] around the next day
and do whatever you want. Don't overdo

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it, but you could do two times one
minute with a long break. And then can't

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you just screw around and do less
and less and less. Two days before if you

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two minute dead hang you do like four
times 15 seconds. The day before before

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off. And you do that.
just keep doing that,

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and your day What The mistake people
make is they hear my ball or time.

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>> [laughter] >> [__] that guy. I'm going

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>> I mean, the mistake you're making is
not doing a course. This could be a whole

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new revenue Wait,
you guys I mean, you guys have a

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war for you guys.
You could be like, "Hey, call in."

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>> So, um yeah, I mean, the dead hang
is that it's like And also, some of it's

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just genetic. Like, my other metrics
are elite, but that this is somehow alien

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territory. God-given gift. >> What
about What about breath hold under water?

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>> I don't do that, and I'm not sure I
have a Like, I grew up swimming. I I think

48
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I'm weaker at that. Like, I bet you
I would be in your guys' >> [laughter]

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>> I I I'm a I'm a dive master.
I can hold my breath for 3 minutes.

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>> I'm just say I'm just say So,
I think you'd be like

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I think you'd be crushing me on that,
honestly. But, you have like the lung

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capacity of a whale.
>> That's true. That's true.

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>> I mean, like >> Yeah.
>> You got like you got

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>> Yeah, if I'm not moving,
I'm not using any oxygen.

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>> It's like you're
like you're like you're

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like a like a like a whale floating
out there [laughter] under the

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waiting to surface. >> That's true.

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>> So, you know,
I'll say I'll tell you the

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difference. Uh it is just I got they're
always minding me out there. But, like

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okay, when we first met, it was like,

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"AI maybe real." Okay. Then, I would say

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somehow until about 2 weeks ago, there
was like a holy [__] this is real, but

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somehow it's not working, but we're
not allowed to say it publicly cuz we'll

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look stupid. And then there's
a lot of investor hype.

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>> Yep. >> Um there
still is like investors

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printing tendies. So, you have
the investors on one side. I think people

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realize it's real, but you know, it's like
you know, you have the whole token maxing.

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>> Yep. >> And people
are on onto that. And then

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so, there's a whole value lecture there.

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Um uh you have a political situation

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um where, you know, people who
do not understand basic economics

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are winning the political argument.
So, you can you could we could talk about

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where AI >> Yeah, there's
a lot here. Let's break it

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Let's break it up. Let's start with
the token maxing thing. Let's start with

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what's what's real.
How are you actually thinking about

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deploying AI >> First of all,
what what is your what is

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what is Palantir's philosophy
around token consumption?

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>> Well, like we okay, we have a product
that will allow you to be able I mean,

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internally it's called something,
but externally, but really we

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call it the de-masturbatory like get
off masturbation thing internally.

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>> It's like >> People are
just like print like sitting

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there all day kind of like a porn
addiction, and enterprises are like,

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"Okay, we knew this we believe this will
create value, but we cannot have people

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just like some people >> checking
the weather with it, just like

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and just re-re-rearranging deck
chairs on their personal Titanic.

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>> literally like porn. >> Like people
are like full on >> It feels it feels so

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>> objects, right?
>> Tool-shaped objects you're looking at

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more than you want. You hope no one
notices. You're kind of before dinner

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after dinner. >> Yeah,
and every email classified with tags.

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>> It comes down to like business problems
can never be I mean, sometimes they can

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be solved purely with money and just
spending more, but very often

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>> Actually, I think it's the opposite.
So, just to give you a weird analogy

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>> No, and I was going to say very very
often it's more the opposite where it's

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about figuring out the right way to do
something, and then you can use capital

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to fuel that process, but

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>> Let me give you a thing that's sui
generis for you guys. Okay. It it it's

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taste plus money. >> Okay.
>> And there is no the like AI Like if you

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look at like to pick any issue we
want to talk about. Token maxing is a

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maxing uh what's going on with deploy

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codes. Are other people going to build

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ontologies? Why are why why does the our

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political class not understand AI,
especially in Europe? It's like, "Yes,

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because all of these things can be
scaled in a very valuable, but largely

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going to commoditized way. But you can't
scale the taste of like, "What is the

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business problem you want to have
to solve and need to solve? At the end of

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the day, whether it's in the four
whether it's the Ukrainians fighting,

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the Israelis, commercial entities,
it's there's somebody sitting there who's

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like, "Okay, but this problem is valuable.
This problem isn't." And once

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that value that problem
is always has that problem

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alway almost always but not always has
attributes. So, there are some problems

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you could solve with this like,
"I want to write a report on GDP growth in

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China, right?" Okay, but if it's
a problem that requires a knowledge store,

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like I want to understand
the specialized way I underwrite. We're

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going to have a guest here. I want
to understand the specialized way I drill

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for oil and gas that's both legal,
ethical, and reduces the cost of

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production. I want to change the the
the supply chain of my industry, whether

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that's military or whether that's
building boxes, or whether that's cars.

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These things require actual
precise, ongoing processes.

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They are enhanced
by large language models.

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They are not replaced by large language
models. And then you get to security

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issues like But for us like the whole
myth of things is it's just a boon

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because like yeah, we can
take any model, their model,

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OpenAI model, open model, we can

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identify we can now identify

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vulnerabilities at like 10 100x. Yeah,
but then who patches them? Yeah. How do

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you patch them on prem? How do you patch
them on prem so that your specialized

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knowledge stays on prem? Like if you're
any business or intel service, there's a

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lot of these things are very similar.

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Like you're not putting your classified
data in a public cloud. Yeah. Same thing

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if you're like, you have a special way
of farming soybeans. Well, you're not

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So, it's like how do you have how do you
get So, all these problems are exposed,

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identified, and then you always
have a thing of where's the

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charisma, which people really
underestimate. And it's it's not global.

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There's no global charisma now. Like So,
right now the large language models are

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very Frontier companies are
super charismatic with investors.

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>> Mhm. >> I'll give you
some news. They're super

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not un-charismatic with
enterprises and the people.

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>> Yeah. >> In a way even with enterprise.

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>> No, no. I mean it's >> Cuz
I understand with the people.

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>> no. The enterprise people I have
a secret I have a secret like every

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company has a secret way of selling.
You know what my secret way of selling is?

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Don't even call it don't don't come talk
to us. There's a frontier company. Go

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spend 2 days with them. And if you're
lucky after you're done, I'll let you in

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my door. They're like
[laughter] clamoring.

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>> Yeah. >> They're like hey,
I'll take your bad brand.

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>> Yeah. >> We have a great
brand in enterprise. But

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like it it's like it's like secret
knowledge cuz the investors love this.

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They're like hey, my stocks are all up
everything's up. I mean Palantir's done

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very well. We're like it but it's like
and you know you guys are doing very

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well I imagine, right? And it's okay.

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We're we're you know we can but I'll
tell you what you go down the street you

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talk to a marine, you talk to a bus
driver, you talk to the person who owns

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the bus driving company. >> Mhm.

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>> They are not happy. They do not like
these people. They're tired of people

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token maxing. >> Yeah.

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>> It it looks like masturbation at
their that's cost them money. They they're

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like and honestly then you have
something we're not allowed to talk

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about in this country likeability.

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>> Mhm. >> Like Palantir,
we have I think we have

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like 50 100 million global bands.
We have like 5 million people that wake up

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in the morning literally calling me Satan.

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>> Mhm. >> I didn't know
I had that kind of >> Mhm.

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>> warm hand. But uh you know
it's like that's what they believe.

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00:09:02,360 --> 00:09:04,717
>> Yeah. >> Yeah. >> And like
and they really believe it.

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00:09:04,800 --> 00:09:09,397
Okay. What people are not allowed
to really address is like we have fans and

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00:09:09,480 --> 00:09:11,597
enemies. >> Yeah. >> Yeah.
>> These people are polarizing.

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00:09:11,680 --> 00:09:13,637
>> Yeah. >> We're polarizing
which means both sides.

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00:09:13,720 --> 00:09:14,837
>> Yep. >> These people have one side.

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>> Yep. >> They're just it is so it's like
you and then it's like it's a really big

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>> Social media companies
too have the same problem.

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00:09:21,640 --> 00:09:23,517
>> Yeah, no. >> Everyone uses
them but no one likes them.

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>> Yeah, but but then they also live in
a circle and that circle's printing money.

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>> Yep. >> So it's like
you know when you look in

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the mirror and you just printed
a lot of money you look pretty fresh.

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00:09:32,840 --> 00:09:37,757
>> Is part of it is is part of it that
that some element of the technology, let's

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00:09:37,840 --> 00:09:41,957
just say LLM's, is so magical that

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the companies involved, that the
companies that are making and selling

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00:09:45,520 --> 00:09:48,677
frontier intelligence, can be bad
at a bunch of other things and still grow.

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00:09:48,760 --> 00:09:51,677
>> Well, no. No, no. They are magical at a

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00:09:51,760 --> 00:09:55,997
certain kind of thing, allowing you to
write, for example, code. Now, that code

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00:09:56,080 --> 00:09:59,557
doesn't can't be used as a knowledge
store. So, if you look at code in like

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00:09:59,640 --> 00:10:02,357
three different ways, like just using
pound as a model. We have code that's

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00:10:02,440 --> 00:10:05,077
basically infrastructure. So, what what
are the Ukrainians using? What is the

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00:10:05,160 --> 00:10:08,557
Department of War using? What do a lot
of our enterprises that that we call

185
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that primitives? So, they're basically
hard-coded things that that understand

186
00:10:11,960 --> 00:10:16,357
the world. Well, way do you do? It would
take millions of technical hours and an

187
00:10:16,440 --> 00:10:19,717
understanding of all these enterprises
to do it. So, it's it's much more like

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00:10:19,800 --> 00:10:21,557
how do you build a steel beam? Then you

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00:10:21,640 --> 00:10:25,597
have like code that is written by FDEs.

190
00:10:25,680 --> 00:10:30,277
Okay, so that's kind of managed. It's
The reason why FDEs work, the secret is

191
00:10:30,360 --> 00:10:33,277
it's actually managed in something that we
as a product. So, you're writing to a

192
00:10:33,360 --> 00:10:36,077
code base for managing that. We're
increasing our product. It's not just

193
00:10:36,160 --> 00:10:40,557
random people writing. Then you have,
let's call it free code. That free code

194
00:10:40,640 --> 00:10:44,557
is that's magical. Like you can do
it very quickly. It's almost right. It

195
00:10:44,640 --> 00:10:46,397
doesn't have to be exact. >> Dashboards.

196
00:10:46,480 --> 00:10:49,037
>> Dashboards, financial stuff,
>> Little little flow stuff.

197
00:10:49,120 --> 00:10:51,877
>> probabilistic stuff where you you
just have to get it >> One-off analysis.

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00:10:51,960 --> 00:10:55,117
>> it was it magical. >> Yep.
>> By the way, it's magical and not only

199
00:10:55,200 --> 00:10:58,917
creates it and it's magical in a way I
don't I don't know people like the porn

200
00:10:59,000 --> 00:11:02,317
thing, but it's also addicting. It's
like you know it's not good for you, but

201
00:11:02,400 --> 00:11:04,597
you know, it may lead to damage.

202
00:11:04,680 --> 00:11:06,917
>> One more time. It can't hurt that much.

203
00:11:07,000 --> 00:11:11,077
I know my doctor says it I shouldn't do
it. But it's like it's like that, right?

204
00:11:11,160 --> 00:11:14,597
And you just keep going and like and if
you're involved in the that thing,

205
00:11:14,680 --> 00:11:16,437
you're also making money. >> Yeah.

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00:11:16,520 --> 00:11:18,237
>> And then, last not least, in certain

207
00:11:18,320 --> 00:11:20,917
circles, like if you have you want to be

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00:11:21,000 --> 00:11:25,717
a research researcher or you believe,
essentially it's a religion. So, like,

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you know, and like one of the things
is very charismatic, especially people

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who've never had a religion, cuz all
of a sudden that hole in your heart that

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was yearning for I don't know. I would

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say, you know, a a established religion,

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Judaism, Christianity, Islam is like

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being filled. And and all the answers
are there. But it is very very

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successful at doing things that a

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company has to do.

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But it is not actually solving the

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problem that enterprises are. It is Now,
it can solve them. That's the trick.

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It's not It's not binary. It's not
like You can't say they're not valuable.

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They're totally putting our business on

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steroids. Like without LLMs, nobody

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would be talking about our ontology,
about Apollo managing secure exploits,

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about our ability to manage
an enterprise essentially, uh turning all

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these companies into FDEs. These
deploy codes, we love them cuz now every

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company wants to deploy code.
You know how you do that?

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You re-platform on Palantir. And like
and it actually works. It's not somebody

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with no taste who's never done enterprise,
who has no earthly clue how

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these things work, who's done something
else and is like just imagining they

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know how to do it, right?

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>> Yeah, is part is part of this moment

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quite entertaining for you because

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you guys have been working on

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understanding businesses at a deep

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fundamental level, creating

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You guys have effectively been
doing the work that it that

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people are promising AI could do for 20

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years now, but actually doing it,

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finding all the really rough finding
all the really rough edges and

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uh and not and and being at a point
where you don't have to oversell the

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technology. You can sell both things.

241
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But now there's maybe Here we go.
We got it together. Um

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now there's maybe >> Oh,
it's the wrong side. That's why.

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Flip it around. >> There you go.

244
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There you go. There you go.
Living the dream. Living the dream.

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>> I I trailed off, but uh but is part
of it entertaining to you that it feels

246
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like you You Palantir
has always been in some

247
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ways um not had
competitors because there's

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nobody with Alex Karp running a company

249
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that is does what Palantir does besides
Palantir. But at the same time, there's

250
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been tens of billions
of dollars deployed now

251
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to effectively do what Palantir does, but

252
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just selling the intelligence part,
not selling all the underlying kind of

253
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infrastructure that you guys >> Well,
they're doing two things. They're

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selling They're trying to sell the
intelligence part and they're trying to

255
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pretend if you just hire a bunch
of people and let them run around their

256
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FTEs. Now, the the very cool thing is

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when you've been in your

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basement doing your thing and everyone

259
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kind of use it as the freak show,
it it's really interesting and and and

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great to have adoption. The pretty uh

261
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ironic thing is half the people adopting

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now don't even know they're copying.
But now, the copying thing it helps and

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hurts. Where it hurts is in the beginning
it puts clutter in the market.

264
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>> Yeah. >> Um and there's
there's no doubt about

265
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it. Where it helps and then we saw this
with defense tech, honestly. So like in

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defense tech, we were the only people
we're the first people despite what it's

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I I love these honestly other podcasters.
They're interviewing people

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who are parroting things I said 20 years
ago they don't know it. And it's like,

269
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"Oh, that's so insightful." It's like,
"Yeah, of course it's insightful. Karp

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said it 25 years ago." >> [laughter]
>> Uh and like but it's it's but so that

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kind of that part is super weird. But uh

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and like but um but it's but what really

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happens we see is like it expands
the market. So like in defense tech, we

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would not be doing this well
in just purely in government unless

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there weren't 50 companies that were
doing similar things because then the

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people are like, "Okay, first of all,
>> You view it as like off-balance sheet

277
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sales resources where people are
basically doing it themselves.

278
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>> now that that's
the largely it's They do

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two things. They increase the size of
the market because de facto nobody wants

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to find it under in a market where
there's only one person. Sure. So like

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if you're the one person, the percentage
of the defense budget you can get is

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much smaller. And two, they set up
a comparator. It's like, you know, you may

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not like the freak show. Okay.
If like but have you noticed the

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people who are serious buy it? And then
then it it change and then three it

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changes the standard. Now, what you're
seeing now is like that times a 100x.

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>> Yeah. >> And it does
change like recruiting,

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retention, and like how you build
a company and we're always think you have

288
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to think about how to being dyslexic
huge advantage there cuz like you don't

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have a playbook and now that we need you
need things to shift and we're doing that.

290
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>> Um

291
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>> The the the central thing though that

292
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it's just cannot be developed it even
if you understood the playbook a lot of

293
00:16:10,400 --> 00:16:14,037
these things are like appear like it's
like, you know, LM code appears like

294
00:16:14,120 --> 00:16:17,597
Palantir code but isn't for a deployed
thing appears like Palantir it isn't.

295
00:16:17,680 --> 00:16:21,997
Ontology you could a theoretically
copy parts of it but they're essentially

296
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structures that are built deep into
organizations that we own. And by the

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00:16:25,920 --> 00:16:29,557
way, take you 3 years. And then 3 years
we're in a completely different world.

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00:16:29,640 --> 00:16:34,917
But there is this magical thing called
taste. Like it in the end of the day the

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00:16:35,000 --> 00:16:36,477
reason why you guys have done so well.

300
00:16:36,560 --> 00:16:39,277
It's of course there's
aptitude and diligence

301
00:16:39,360 --> 00:16:41,437
and showing up and all those things.

302
00:16:41,520 --> 00:16:45,237
Yeah, but you have to be able to
differentiate between two people who are

303
00:16:45,320 --> 00:16:48,517
in business one of whom is saying
something that sounds weird that is

304
00:16:48,600 --> 00:16:52,357
insightful. One of whom is parroting
something that sounds weird and that's

305
00:16:52,440 --> 00:16:56,797
all they're doing. And a lot of people
very few people can do that. And it's

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the same thing like the enterprises that

307
00:16:59,360 --> 00:17:02,757
succeed there is a taste arbiter. And at

308
00:17:02,840 --> 00:17:05,517
Palantir we have taste we have taste in

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00:17:05,600 --> 00:17:09,797
every product, taste in every deployment,
taste in every casting. Who

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00:17:09,880 --> 00:17:12,557
puts the people there? How do you put
them there? How do you organize the

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00:17:12,640 --> 00:17:15,997
thing? Our ontology then does that
technically. How do you manage the whole

312
00:17:16,080 --> 00:17:18,077
org with taste? Who should be in charge?

313
00:17:18,160 --> 00:17:21,277
What data sets should come in? What
What are What are the ways in which you

314
00:17:21,360 --> 00:17:25,157
protect What is What should you push
into the public crowd? What should be on

315
00:17:25,240 --> 00:17:27,197
prem? What What should I mean, leaving

316
00:17:27,280 --> 00:17:32,197
aside the law and like wars war ethics,
what do you want to protect? What should

317
00:17:32,280 --> 00:17:35,757
you protect? What should you not protect
because quite frankly, you want that to

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00:17:35,840 --> 00:17:37,557
be out there so you can get more data.

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00:17:37,640 --> 00:17:40,917
All those things are arbitrated
by taste and then you have to have the

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00:17:41,000 --> 00:17:44,917
credibility of having taste.
That's a real problem for a lot of these

321
00:17:45,000 --> 00:17:47,517
places cuz they don't have They They're
popular with their friends. They don't

322
00:17:47,600 --> 00:17:50,857
They really don't understand how
unpopular they are in enterprise. Like

323
00:17:50,940 --> 00:17:53,157
[laughter] they think it's like, "Oh,
yeah, it's like the way I think I have a

324
00:17:53,240 --> 00:17:54,757
problem with like professors at

325
00:17:54,840 --> 00:17:57,277
Columbia." It's like, "No, it's a real

326
00:17:57,360 --> 00:18:02,197
problem." Like they think I'm Satan.
And you know, it's like I I I I think, you

327
00:18:02,280 --> 00:18:03,277
know, we grew up in the same community.

328
00:18:03,360 --> 00:18:06,317
Let's talk about Heidegger. They're like
they don't want to talk about Heidegger.

329
00:18:06,400 --> 00:18:10,237
So, it's like it's like Yeah, and so
that's just a It's a weird thing. It's

330
00:18:10,320 --> 00:18:12,277
going to be a super The one thing I

331
00:18:12,360 --> 00:18:15,477
would say for anyone listening,

332
00:18:15,560 --> 00:18:19,797
if you're listening to this and you're
chillaxing and not active I'm not saying

333
00:18:19,880 --> 00:18:21,957
you have to agree with me
politically or anything.

334
00:18:22,040 --> 00:18:26,157
There the like partly because
of this dynamic and it very self-inflicted

335
00:18:26,240 --> 00:18:29,157
because I I I tell you
I can't name names. I

336
00:18:29,240 --> 00:18:33,397
called many of the titans
of this world and and

337
00:18:33,480 --> 00:18:36,397
like started this 6 months
ago like every couple days.

338
00:18:36,480 --> 00:18:37,437
We're going to be nationalized.

339
00:18:37,520 --> 00:18:40,317
>> them every couple days?
>> Uh like some of them I'm like, "Yeah,

340
00:18:40,400 --> 00:18:42,557
we're going to be I mean, you know,
it's like honestly they're like the batch

341
00:18:42,640 --> 00:18:44,397
They They They find me very entertaining."
[clears throat] Like I'm

342
00:18:44,480 --> 00:18:47,797
not sure Like so they call cuz yeah,
it's like it's like Yeah, this is going

343
00:18:47,880 --> 00:18:48,957
to be entertaining. >> to pick up.

344
00:18:49,040 --> 00:18:53,397
>> Yeah, so in any case, so I've been
telling them for 6 months 6 We're going

345
00:18:53,480 --> 00:18:55,677
to be nationalized. >> Yeah.
Yeah, you talked about

346
00:18:55,760 --> 00:18:58,797
>> We're going to be nationalized.
And they're like, "Why would anyone

347
00:18:58,880 --> 00:19:00,877
nationalize? Never happened in America.

348
00:19:00,960 --> 00:19:04,757
It's never Why would anyone nationalize
us? We're so likable. We're creating so

349
00:19:04,840 --> 00:19:08,957
much value." Like, "Okay, I'm not going
to debate that. I know how likable I am.

350
00:19:09,040 --> 00:19:12,517
I'm not going to tell you how likable
you are. But I am telling you and you

351
00:19:12,600 --> 00:19:16,877
know the momentum on this is on the side
of people in national and we don't get

352
00:19:16,960 --> 00:19:20,277
our act together and figure out ways we
can say, "Hey, look, there are problems

353
00:19:20,360 --> 00:19:23,157
here. We're going to deal with these
things that are not going to Yes, they

354
00:19:23,240 --> 00:19:26,477
are going to create opportunities.
You have to talk openly about how these

355
00:19:26,560 --> 00:19:28,957
things are valuable because we have
adversaries. You can't just say these

356
00:19:29,040 --> 00:19:33,517
are All that stuff." So, the primary risk,
honestly, to Palantir and to a lot

357
00:19:33,600 --> 00:19:37,677
of these other countries is And then,
it's going to be nationalized before

358
00:19:37,760 --> 00:19:40,197
national is going to be regulated
by people who don't understand understand

359
00:19:40,280 --> 00:19:43,037
this. And now, they'll tell you in
private, "I'm working on this. I'm da da

360
00:19:43,120 --> 00:19:46,797
da and this and this lobbyist."
It's like, "Not going to work." So, like,

361
00:19:46,880 --> 00:19:49,077
that's something like if you're
listening to this and you're like,

362
00:19:49,160 --> 00:19:52,837
"Look, you know, you don't have to agree
with me on all my proclamations. I got a

363
00:19:52,920 --> 00:19:55,637
lot of By the way, there's some people
who think I'm saying we should have a

364
00:19:55,720 --> 00:19:59,197
draft." Too lazy to read. I'm just
saying we should Like, in a world where

365
00:19:59,280 --> 00:20:02,757
everything is changing,
everything is changing.

366
00:20:02,840 --> 00:20:06,197
Don't we have to find some communal
structure to remember we're American?

367
00:20:06,280 --> 00:20:09,797
You don't like my You don't like my idea
of like we all do a week in the park.

368
00:20:09,880 --> 00:20:11,957
Great. Come up with some other idea.

369
00:20:12,040 --> 00:20:15,277
But, we can't have no idea. You know,
and like and then they're like, "Well,

370
00:20:15,360 --> 00:20:17,117
I'm saying I I do not want to draft."

371
00:20:17,200 --> 00:20:20,197
Just to be explicit. They're like, "Oh,
that's pro-war." Now, honestly, you know

372
00:20:20,280 --> 00:20:23,397
what most of our wars are fought because
no working-class person is making a

373
00:20:23,480 --> 00:20:26,877
decision. You start making sure everyone
is involved in everything. I'll see you

374
00:20:26,960 --> 00:20:30,797
how few wars we fight. It's actually
the anti-war position. But, any case,

375
00:20:30,880 --> 00:20:32,957
disagree with everything. If you're We

376
00:20:33,040 --> 00:20:38,117
have on the right and on the left people
people who have no earthly clue what

377
00:20:38,200 --> 00:20:39,677
they're talking about, right and left.

378
00:20:39,760 --> 00:20:43,037
All they're talking about is how much
they hate us. And those of us who are

379
00:20:43,120 --> 00:20:46,797
sensible in the middle, you know,
too many of us are chillaxing.

380
00:20:46,880 --> 00:20:51,437
Like, it Like, nationalization, it can't
happen. It's America would never do that.

381
00:20:51,520 --> 00:20:54,917
Sleepwalking into And you guys have
tendies to protect now. You [laughter]

382
00:20:55,000 --> 00:20:58,437
guys should be on the front line of this.
Like, you got full Oh, I'm sorry.

383
00:20:58,520 --> 00:21:02,997
I have a I have a full-on very
impressive corporate leader coming on.

384
00:21:03,080 --> 00:21:04,917
>> Yes. >> So, I got
to I got to turn it down.

385
00:21:05,000 --> 00:21:07,757
>> Last Last question if we have time.

386
00:21:07,840 --> 00:21:10,677
How are your conversations going with

387
00:21:10,760 --> 00:21:13,917
Fortune 500 CEOs around headcount

388
00:21:14,000 --> 00:21:17,797
planning? There's been so many layoffs
this last year that people were saying,

389
00:21:17,880 --> 00:21:19,277
"Hey, we're getting so much out of AI.

390
00:21:19,360 --> 00:21:21,277
We're able to, you know, cut back here

391
00:21:21,360 --> 00:21:22,437
or there."

392
00:21:22,520 --> 00:21:27,037
People inside tech often know like these

393
00:21:27,120 --> 00:21:31,597
maybe there's just reduction because
there needs to be a reduction. The org

394
00:21:31,680 --> 00:21:34,997
got bloated. Maybe they do need
to fund some AI initiatives.

395
00:21:35,080 --> 00:21:37,357
>> business model like they're getting
out competed by someone else. Yeah, yeah.

396
00:21:37,440 --> 00:21:38,997
Yeah, the business just doesn't
have momentum. But how are those

397
00:21:39,080 --> 00:21:40,997
conversations going?
>> What does it look like?

398
00:21:41,080 --> 00:21:44,317
>> Like the like I talk By the way,
I talk to Fortune 500 companies. I talk to

399
00:21:44,400 --> 00:21:47,837
unions. I talk to soldiers. I talk to fire

400
00:21:47,920 --> 00:21:52,837
If you upskill somebody,
they're more valuable. And like all

401
00:21:52,920 --> 00:21:56,197
these whether it's people working
on batteries, people driving trucks,

402
00:21:56,280 --> 00:22:00,077
people, corporate leaders, and again,
this is where I think we have to be very

403
00:22:00,160 --> 00:22:03,517
careful to be more disciplined on the
corporate side. Like if you run around

404
00:22:03,600 --> 00:22:07,477
saying AI allowed you to fire 2/3
of your workforce and you did it because

405
00:22:07,560 --> 00:22:10,197
maybe your competitor's kicking your ass.

406
00:22:10,280 --> 00:22:14,517
That could that is a really like you
might as well just go sign up for Bernie

407
00:22:14,600 --> 00:22:18,637
Bernie Sanders manifest. And part of the
thing is they really believe that can't

408
00:22:18,720 --> 00:22:22,397
happen. So they're free riding on the
fact that it could. Like we have And

409
00:22:22,480 --> 00:22:25,797
then it just cannot work anymore.
These things are very, very explosive. The

410
00:22:25,880 --> 00:22:29,757
American people sense that there
is something dangerous here. And when

411
00:22:29,840 --> 00:22:33,597
people are playing with that fire, it's
like it's a they assume the fire won't

412
00:22:33,680 --> 00:22:36,437
burn their hands. Well, that's not
the world we're in. That fire is going to

413
00:22:36,520 --> 00:22:39,397
consume us. And what we see again, the

414
00:22:39,480 --> 00:22:41,437
war-fighting example is just the most

415
00:22:41,520 --> 00:22:46,477
neutral, not for everybody. But like the
soldiers at the bottom have gotten much

416
00:22:46,560 --> 00:22:49,117
more valuable. Well, and and I don't
even just mean the special operators,

417
00:22:49,200 --> 00:22:52,997
which obviously they're in a different
league. But like every the people doing

418
00:22:53,080 --> 00:22:56,317
a lot of the operations now are
doing our product their high school

419
00:22:56,400 --> 00:23:01,117
vocationally trained. You see this
everywhere. The the modern enterprise is

420
00:23:01,200 --> 00:23:03,237
going to have like we have a

421
00:23:03,320 --> 00:23:06,997
a true like very very very smart

422
00:23:07,080 --> 00:23:10,637
person coming on and it's like you're
going to have a very smart executive.

423
00:23:10,720 --> 00:23:14,437
He's much better at hiding it than I
would be if I were him, but that's you

424
00:23:14,520 --> 00:23:16,957
can talk to him about that. But um

425
00:23:17,040 --> 00:23:19,477
uh um and

426
00:23:19,560 --> 00:23:22,477
uh and then very talented creative

427
00:23:22,560 --> 00:23:26,517
people with taste all up and down the
stack. In any case, I think this is time

428
00:23:26,600 --> 00:23:29,437
for me to >> this is time.
>> We uh >> Thank you so much.

429
00:23:29,520 --> 00:23:33,240
>> Great to be here. >> Yeah, always fun.
