WEBVTT

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joins us this morning with Palantir's
co-founder [music] and CEO Alex Karp.

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Morning, Sara. >> [laughter]

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>> Good morning, Carl. It's good to see
you. Yes, I am here at Palantir with the

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founder and CEO Alex Karp. It's good
to have you. Good to speak with you.

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>> Very nice to be here.
>> And and Carl was just talking about the

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Iran war risk, which is influencing
the market today and the fact that we

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haven't gotten a deal yet. I know that

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you are heavily involved AI operating

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system for the military. What what
is your view on on where the war goes from

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here? >> Um well, first of all, you know,
at Palantir, you know, people currently

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focusing a lot on our
commercial business and

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there's a lot of interesting things

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there, but once uh war zones uh heat up

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anywhere in the allied world, uh the

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Palantir Maven platform, which um takes

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very valuable LLMs and makes them

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actually lethal and uh useful on the

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battlefield, come into action and then

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the primary focus of our whole company

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is bringing our American uh war fighters

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home safely, meaning that when we engage

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that they engage in a way that it gives

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them a massively unfair advantage, uh

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scares our adversaries, and make sure

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that when they're in action, they have

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an a the best humanly and inhumanly

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possible chance of of coming home safe

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and without injury. And so, the whole
company really just focuses on the

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operations of that.

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And um obviously, these things begin

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well before uh the public sees uh and we

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have a wide swath of of Palantirians

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working on various platforms,
particularly the Maven platform. And

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then, there are a lot of things that are
in the public space. So, Maven has been

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kind of discussed and kind of older
versions of Maven have been shown in

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public, but um I think the American

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people would be very positively
surprised by the advances in technology

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that really only America has.
>> Well, without giving away too many

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secrets, like can you just explain
what edge that is that you give our war

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fighters? >> of all,
there really two things. Every

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every military force
in the world, so you see this

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uh on the battlefield in Ukraine, like
one of the big issues the Russians had

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is how do you transform your operations

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into a modern operation? And if you take

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components of Maven, there's basically
infrastructure which allows you to take

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older systems and make them newer systems.
And then, so that allows you to

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to have a completely integrated battle
space, which is super hard because of

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security, clearance, data sources. You
have You can think of it as infant data

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with very with some of which is very
sensitive, some of which no one else can

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see, some of which everyone has to see.

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You have allies working on it. How do
you get that into one plane of glass?

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With the security. How do you then use

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advances in AI and machine learning to

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enhance that uh while making those

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decisions not like what's proverbially
called loose AI code. It's just not

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useful on the like None of these
things actually are used anywhere on the

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battlefield. So, how do you enhance
your ability to see things? How do you

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enhance your ability to go through very
complex systems? So, like for example,

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in Ukraine, you're not It's not just
getting the drone to the end point. It's

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going through advanced radar systems.

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And then, vis-à-vis Iran, it's 100 times
more complicated because they have You

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know, it's like you look at American
performance, which has been

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you know, thanks to the bravery
of Americans and the ingenuity and I would

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like to believe our tech, very few
losses on our side, very precise, very

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controlled, and then in a complete
ability You saw this in Venezuela to

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dismantle these things. And so,
because the dismantling is happening, we

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underestimate the complexity that it
took to do that. It was not possible to

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do these things 2 years ago, 3 years ago,
and now America can can can really

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do this with great precision and with very
low cost to to us in terms of lives

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and casualties. >> opening
up new business in different

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regions for you, the success of what
you're saying in the Middle East?

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>> the the the the one of the many
secrets of Palantir, people talk about our

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forward deployed engineers, they're
trying to copy, talk about ontology,

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they try to copy, talk talk about,
you know, how software that's like fine

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software's worthless, but everyone's
trying to copy us. So, that's obviously

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and some points of software are not
that valuable, but some parts are crucial.

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>> is. >> Well, there are
three kinds of software

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really. There's basically you can think
of infrastructure, which is like hard

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coded things written into the enterprise
that have to be managed on prem often,

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so you maintain maintain
the sovereignty of your own data.

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That is not valuable. That is
excruciatingly valuable. Then you have

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what how do you manage that? So,
like ontology, foundry and other things,

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those things are are very valuable
and durable. Then you have FDEs and large

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language models. Most FDEs
are just throwing people at a

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problem that anyone else can solve. So,
if you can manage so those it's some are

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valuable, some are worthless.
Uh free code is essentially very easy. So,

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you have a very different
but in any case, um

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what you see in crucial situations

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in Russia, in the Middle East or in
Ukraine, Middle East, uh where you have

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to bring home people safely and where
your adversary has to be dismantled and

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then adversary don't, you know, the

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Persians and the Russians and the and

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the CCP are exceedingly talented

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technical people in various different
ways with very unique and historically

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viable ways of fighting. So, you're
not going up against an adversary that's

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just going to lay down. When you have to

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do that, you have to bring your unique

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way of doing something enhanced with

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things no one else has. Those things
now are infrastructure software

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uh foundry, Apollo and large language

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models that we are producing managed by
us. It is the combination that is legal.

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By the way, you see this in US
commercial and the interesting thing

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about what's going on in the world
right now, so domestically is you have

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essentially a really important, uniquely

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American movement uh
call it Frontier Labs.

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They are There's the way we think about
this actually is just philosophically

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and technically wrong. Philosophically
it's wrong because it's not doomer

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versus not doomer. It's a hyper religion

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of hyper optimism. They believe all
problems peasant peasant present, past,

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and future, including the ones they
create and don't acknowledge they create

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are going to be solved by them,
including human nature,

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>> Mhm. >> uh disparities
in Okay, and then on the

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infrastructure side, enterprises
are just fed up because they

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know this doesn't actually work this way
and it's not working. And that basically

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is drives our commercial business.
On the on the government side,

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we're we are super pro-American,
super pro-West.

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>> You've always said that. And you've
always said that. I do wonder though how

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you protect the company from getting
politicized. I mean, you've worked with

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administrations on in both parties
before, but especially, you know, when

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it comes to this war, which is unpopular
and the Democrats have been fighting it,

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you know, how how you avoid making
Palantir a target in the midterm

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elections or in the next
presidential election?

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>> I don't want to be positively overly

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naive. We are trying I am trying

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sometime with success, sometimes without

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to move people that that that AI AI

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infrastructure revolution is a unique
opportunity for America because it we've

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developed almost all of it first.

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However, um it it cannot be discussed in

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blue-red terms. Like currently
the biggest danger to America is you you

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know, it's like people are like, "Oh,
this guy agrees with me politically,

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therefore he's right. This woman agrees
disagrees with me politically." They're

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like, "This is a massive massive
revolution and there is a danger" Look,

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I've been running around telling people
for the last 6 months in private and

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somewhat in public >>
The nationalization >> is coming.

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>> And the reason why it's coming is you
can't do a blue red debate. This is a

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massive revolution and it's going
to there's opportunities only America has

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and there are dangers in this revolution.
And for example, I got in

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trouble for saying not saying we would
have a draft. I wasn't saying that. I

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was saying we're in a >> Some people
think you were advocating a draft.

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>> what I was saying is we're in a massive
time of dislocation. And in dislocation,

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we have to find ways to come together
as a culture. And while it is the case in

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Silicon Valley that everyone thinks
we're going to magically like each other

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because there's abundance
and no one has a job.

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Unless we're ending history. In fact,
it's actually very much the opposite.

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We're going to have massive resources,
but they're going to disproportionately

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go to people who are already wealthy.

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Okay, that is a political problem.
You can't just say oh, we're all going to

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have more therefore we're happy.
Okay, well, you know, we're not at the end

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>> So, what should the what
should the industry do about it?

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>> We have to be we have to be frontal

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about there are issues that are real and

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getting worse like wealth accumulation
is totally fine. Even though I am

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actually a card-carrying progressive,
I don't think card-carrying progressive

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have anything against >>
a card-carrying progressive?

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>> I I I know. The question is not whether
I'm progressive. It's the question is

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whether some progressive are progressive.
I am progressive. I want

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poor people to have better lifestyle,
higher standard of living, all poor

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people. I got in trouble for mentioning

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that, you know, 40 37% of our GD GDP is

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female. 50% of Americans 52 roughly are

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female. There's a dislocation
there. 67% of people who have

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who have gone into graduate school are
female. These parts of the market are

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going to be put under massive pressure.

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It doesn't help to pretend we're not
going to have these problems. In fact,

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the progressive position is progressive
because you speak about problems like

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okay, so we have we got we can protect
our workforce. Can we protect our

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workforce and have my great migration
the way we used to? Can we protect our

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workforce by teaching people the same
skills we used to in the past? You know,

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we have a massive program at Palantir
to help neuro divergence. Not because I'm

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particularly a good person on that score.
I mean, I am dyslexic and some

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people think I'm neuro divergent.
But because those people are particularly

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valuable for our economy. And what made
someone come to America from all over

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the world? They were neuro divergent.

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They're like, it's not working out
for me in my culture. I got to come. So

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>> Okay, I'm glad to hear that.

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>> But but in any case, yes. But But the

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point is we have to somehow get

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everybody around people who totally get

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you know, it's like when Bernie Sanders
says, "I'm going to take 50%." Okay. You

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know what? >> You think that's
actually going to happen?

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>> I I'll give I'll give you a If If we
keep going, Bernie Sand Do you know how

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people don't think I'm progressive?

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In 2 years, they're not going to think
Bernie Sanders is progressive. They're

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going to be like, "Bernie
Sanders, you only want 50%?"

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What do you What is this 50%?
>> we're headed as a country?

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>> We're absolutely headed in that
direction. And we're headed in that

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direction simply because the most

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important Leaving the tech aside, which

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is also driving it. The most important

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political decisions in this country are

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going to be driven by Do you understand

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AI? Do you understand what it's doing?

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And as importantly, do you Are we
going to tell the American people don't

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believe your lying eyes?
Like politicians in the past have done

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this. It does not work. The American
people are really wondering what is

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going to happen to them. And the answers
aren't all good or bad. And then they

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can't also >> Do you see mass job losses?

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>> It's It's It's It's It's It's It's not

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the job loss the thing that is mass
needing to retrain and retool and do

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things differently. By the way,
this is an incredibly important American

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advantage as I I spent half my life
in Europe. If you just said, "What are the

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advantages they have? What are
the advantages we have?" The what The

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biggest advantage we have is our dynamism,
our ability to change, our

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ability to rebuild.
But we're going to have to use that

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advantage because the jobs of the past
are going to be very different than the

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jobs of the future, and we're all going
to have to change, and that's going to

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disproportionately affect people, and we
need and then we need a common purpose.

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What is our common purpose?
And it that's something that we're really

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struggling with, and when you have these
struggles, people go to the far right

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and the far left, and they're very
charismatic. We should not make the

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mistake Europe has made by not
addressing these things, and then the

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only people who win politically are
people who may not know what they're

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talking about, but are very charismatic
because they're addressing a real issue.

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And in this case, the real issue
is Americans are afraid. And by the way,

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the other real issue, and I'll just talk
about somebody I've spent 20 years in

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enterprise. We work with the
most important governments.

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We are controversial, quite frankly,
because we power every single Western

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power that's at war. >> Yeah.
>> And by the way, we're also we're all

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Yeah, you know why we're also
controversial? They have capacities they

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didn't have in the past,
and our adversaries

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>> I know, you continue
to make that point.

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>> but the commercial
thing, the commercial

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thing enterprises are also unhappy. You

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know, it's not just the man and woman on

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the street that is unhappy with the
Frontier Labs. It's in private, every

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single enterprise we deal with. And we
have this thing inside Palantir that's

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somewhat controversial, but we keep
debating, should we pay people to go to

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large language model companies before
they come to us? Cuz people come out of

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there screaming saying this could never
work for me. They don't understand the

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enterprise. They don't care about
my enterprise. They want a token max.

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>> Okay, so this is you're getting to the
heart of it because I think the biggest

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question around Palantir right now
on Wall Street is whether the large

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language models, the Anthropics and the
AIs, which are about to go public, can

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replicate what you're doing.
>> You know what?

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It's it's a real question that no one in

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enterprise factually is worried like,
you know, the investors are really into

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it short-term have no idea what they're
talking about, long-term end up being

00:13:26.680 --> 00:13:29.637
right. We we we will just debate this

00:13:29.720 --> 00:13:34.237
with the facts. You know, I I've spent
all my life for better or worse dealing

00:13:34.320 --> 00:13:37.757
with the most complicated, most enter-
interesting enterprises. I'm on the

00:13:37.840 --> 00:13:41.637
ground floor in that, probably like
no one else. And I >> you're saying.

00:13:41.720 --> 00:13:46.597
>> They're I mean, most of them are
chill chill chillaxing over their latte,

00:13:46.680 --> 00:13:49.717
reading a report about something
that they don't understand the technical

00:13:49.800 --> 00:13:53.437
capacity of it. You know, and you know >>
But they're hiring the kind of engineers

00:13:53.520 --> 00:13:54.997
>> Yeah, they're great. >> that you have.

00:13:55.080 --> 00:13:59.197
>> That that And those kind of engineers
are great engineers. And I'm telling you

00:13:59.280 --> 00:14:02.077
they don't talk to the enterprises
or don't understand the technical

00:14:02.160 --> 00:14:06.357
challenge. And also, by the way,
the ability to be a great investor in the

00:14:06.440 --> 00:14:09.957
kind of where those That's where large
language models are more useful because

00:14:10.040 --> 00:14:14.517
it's it's probabilistic and you don't
have to get better than really 51%. If

00:14:14.600 --> 00:14:18.237
you want to manufacture a car and you
need a part or you want to send a rocket

00:14:18.320 --> 00:14:21.677
to the moon or you want to put a missile
on your adversary's head and bring home

00:14:21.760 --> 00:14:26.197
Americans safely, that stuff doesn't ship.
And by the way, and there's not a

00:14:26.280 --> 00:14:29.717
single high-end enterprise like that
that would ever put By the way, that's

00:14:29.800 --> 00:14:31.637
before you get to the cultural impasse.

00:14:31.720 --> 00:14:36.757
Like the the When you go to San
Francisco and talk to them, their basic

00:14:36.840 --> 00:14:40.237
vibe is we don't have to solve your
problem today because tomorrow you're

00:14:40.320 --> 00:14:42.597
going to go away and all of your
problems are going to be solved. It's

00:14:42.680 --> 00:14:46.437
largely religious. And then you get
to we're going to do we're going to

00:14:46.520 --> 00:14:48.597
replicate Palantir by doing a deployco.

00:14:48.680 --> 00:14:51.477
I mean, it's a complete farce.
Like the people who go there to solve the

00:14:51.560 --> 00:14:55.037
simplest easiest
problems that sell tokens.

00:14:55.120 --> 00:14:58.317
And they're the part they don't
understand, honestly, and I told them

00:14:58.400 --> 00:15:01.757
this, I probably shouldn't, is they
don't understand how unlikable they

00:15:01.840 --> 00:15:05.517
are. So, they the product doesn't
actually work the way it's very

00:15:05.600 --> 00:15:10.037
expensive and you got to overcome the fact
that you may not realize outside of

00:15:10.120 --> 00:15:13.597
San Like actually, I'm not even saying
I find them unlikable because actually

00:15:13.680 --> 00:15:16.317
some of the best and most interesting
conversations I've had in business are

00:15:16.400 --> 00:15:21.037
like hanging out with some of them, Sam,
Dario, others. I I I these are high, you

00:15:21.120 --> 00:15:24.757
know, like you talk to Darii,
it's a great time. And he's he does

00:15:24.840 --> 00:15:28.117
>> together at AIG. I was going to ask,
is Anthropic are they are they friend or

00:15:28.200 --> 00:15:31.717
foe? Are they competitor >> Well,
he No, again, this is Well, I

00:15:31.800 --> 00:15:36.037
mean, most of the things they talk about
in public are running on Palantir. So,

00:15:36.120 --> 00:15:38.237
it's like it Now,

00:15:38.320 --> 00:15:43.597
at this scale, we're a nation-state,
basically. They are like we are fri- I

00:15:43.680 --> 00:15:45.237
like it's I don't wouldn't and they're

00:15:45.320 --> 00:15:48.477
and he is the he is the frontier person

00:15:48.560 --> 00:15:50.797
of a of the leading frontier model com-

00:15:50.880 --> 00:15:53.117
company currently. And he's gone from

00:15:53.200 --> 00:15:56.637
being way behind to being ahead.

00:15:56.720 --> 00:16:00.277
And he's just a he's a very, very
important person. And And I'll tell you,

00:16:00.360 --> 00:16:04.637
he believes what he's saying. I just
would say that First, wait. He believes

00:16:04.720 --> 00:16:09.357
all problems in the I think and I impute
him or believes all problems of the

00:16:09.440 --> 00:16:13.477
current, present, and future the one
are transitionary to a perfect

00:16:13.560 --> 00:16:14.877
future.

00:16:14.960 --> 00:16:18.117
I believe that we need heaven on Earth,

00:16:18.200 --> 00:16:22.317
not heaven in the next in 20 years.
And I'm very We disagree on these things.

00:16:22.400 --> 00:16:25.317
But doesn't mean that, you know,
it's like we don't agree on other things.

00:16:25.400 --> 00:16:28.997
It's like, you know, they agree
on certain national security, we disagree.

00:16:29.080 --> 00:16:32.917
It's It's not It's not as simple as agree,
disagree, bad, good. These are

00:16:33.000 --> 00:16:36.597
some of the more interesting, important
people in the world. I I'm betting

00:16:36.680 --> 00:16:41.477
heavily and my customers pretty
much are on my side that, you know,

00:16:41.560 --> 00:16:46.157
it is not that large language models
aren't crucial for the world. It's just

00:16:46.240 --> 00:16:50.557
the implementation is where the value is,
certainly in the next 7 years.

00:16:50.640 --> 00:16:53.117
And if you want to ask me what's going
to happen in 10 years, I don't know.

00:16:53.200 --> 00:16:57.357
But, you know, the risk of a pathogen
uh destroying us >> [music]

00:16:57.440 --> 00:17:00.477
>> is probably as high as >>
Is that why you guys are working so much

00:17:00.560 --> 00:17:03.997
on health care right now? >> Um well,
you know, the the the the thing

00:17:04.080 --> 00:17:08.237
is these low probability events
that shape the world are often

00:17:08.320 --> 00:17:12.637
underestimated. And they are again,
they're These are not like These These

00:17:12.720 --> 00:17:16.197
are events that call require software
infrastructure, implementation,

00:17:16.280 --> 00:17:18.037
ontology, and large language models. As

00:17:18.120 --> 00:17:21.317
an example, if you have a deadly

00:17:21.400 --> 00:17:23.717
pathogen come into this country, the

00:17:23.800 --> 00:17:28.917
signs of this are going to be very
similar to the signs of finding

00:17:29.000 --> 00:17:32.957
a somebody moved a truck by 2 cm and that

00:17:33.040 --> 00:17:37.837
means they're going to attack. Is it
is only possible and then the security

00:17:37.920 --> 00:17:40.877
around it which people often
underestimate that we do, which is the

00:17:40.960 --> 00:17:45.317
bedrock of the reason why Palantir
is indispensable. It's like you can't just

00:17:45.400 --> 00:17:49.197
use data sets in this environment. Each
single data set you can think of as each

00:17:49.280 --> 00:17:53.437
single micro part of the data set has
to be its own sovereign data set. So this

00:17:53.520 --> 00:17:57.597
whole move you get of what part of the
data is sovereign, you can think of it

00:17:57.680 --> 00:18:02.037
we do that at the millimeter level. Like
which part of the attribute is sovereign

00:18:02.120 --> 00:18:05.677
to the person. What can be shared? What
can be imputed? What can't be imputed?

00:18:05.760 --> 00:18:08.117
What can't be generalized and shared?

00:18:08.200 --> 00:18:12.557
What has to be shared? Which experts can
see what under under what conditions? Is

00:18:12.640 --> 00:18:15.717
the measurement accurate? How long
is the measurement accurate? Under what

00:18:15.800 --> 00:18:18.557
conditions is it accurate? Who does
the implementation? Do they have the

00:18:18.640 --> 00:18:22.717
clearance? What all these things that all
those things have to be modeled and

00:18:22.800 --> 00:18:25.597
done in a platform that's
been doing this. By the

00:18:25.680 --> 00:18:29.557
way, the cyber threat like how do you
can't just run large language models.

00:18:29.640 --> 00:18:32.797
You actually how do you patch what you
find? How do you patch what you find at

00:18:32.880 --> 00:18:36.837
scale? How do you is the software you run

00:18:36.920 --> 00:18:40.957
How do you and if you could do all that,
how do you have the accreditation to

00:18:41.040 --> 00:18:44.557
work on a secure network if it's never
been you've never actually done that

00:18:44.640 --> 00:18:49.037
before? No idea what's involved
and you need the accreditation to do it.

00:18:49.120 --> 00:18:51.837
>> So so they're not a cure-all.
But finally Alex, I did want to ask you

00:18:51.920 --> 00:18:54.797
about SpaceX cuz it's going public this
week as well and I know you've partnered

00:18:54.880 --> 00:18:59.077
with them on on proposals like
the Golden Dome missile protection and you

00:18:59.160 --> 00:19:03.397
are working on AI operating I think as it
relates to space. So I'm just curious

00:19:03.480 --> 00:19:04.597
how you view that area.

00:19:04.680 --> 00:19:08.077
>> I very optimistic
for the future. I root

00:19:08.160 --> 00:19:10.517
for every entrepreneur. I'm rooting for

00:19:10.600 --> 00:19:14.517
Elon. And uh, we partner in some areas

00:19:14.600 --> 00:19:17.037
and probably don't compete in others,

00:19:17.120 --> 00:19:19.517
but it's Look, when a when when when a

00:19:19.600 --> 00:19:22.557
massive IPO, first of all, you know,

00:19:22.640 --> 00:19:24.957
we're so blessed in this country. Like,

00:19:25.040 --> 00:19:26.997
okay, so I mean, I spent half my life in

00:19:27.080 --> 00:19:29.637
Germany. If there was an I IPO, DPO, or

00:19:29.720 --> 00:19:32.717
anything at like the $120 billion range,

00:19:32.800 --> 00:19:34.757
the whole country would be jumping up

00:19:34.840 --> 00:19:37.237
and down. Here we have a country where

00:19:37.320 --> 00:19:40.037
it's like appears to be the one of the

00:19:40.120 --> 00:19:42.597
large, if not the largest IPO ever. Uh,

00:19:42.680 --> 00:19:47.317
it's super cool technology, things that
no one else have done, and like I think

00:19:47.400 --> 00:19:51.197
I think most Americans, and certainly
I hope all entrepreneurs are rooting for

00:19:51.280 --> 00:19:54.357
success. >> And space?
Bullish on Are you bullish on

00:19:54.440 --> 00:19:55.677
space? Are you guys doing something?

00:19:55.760 --> 00:19:59.877
>> Well, again, it's very similar to these
other debates. You People underestimate

00:19:59.960 --> 00:20:03.557
that bullish on space if the person
doing it knows what they're doing.

00:20:03.640 --> 00:20:07.677
Bullish on Elon and space?
Yes. Bullish on space? No idea.

00:20:07.760 --> 00:20:09.757
>> Okay. Alex Karp, thank you very much.

00:20:09.840 --> 00:20:11.517
>> Thank you.
>> It's always good to talk to you.

00:20:11.600 --> 00:20:13.277
>> Yeah, you're in great demand.

00:20:13.360 --> 00:20:14.757
>> Thank you. >> Great demand.

00:20:14.840 --> 00:20:17.717
>> Alex [laughter] Karp
>> Glad I got on here. Bye.

00:20:17.800 --> 00:20:22.117
>> Um, Palantir, um, defend really
defending the company, Carl, against I

00:20:22.200 --> 00:20:24.477
think some of the narratives that we
talk about and hear about on Wall

00:20:24.560 --> 00:20:27.477
Street, especially when it comes to the AI
software, where there's been this

00:20:27.560 --> 00:20:30.677
rotation out of it and names
like Palantir into the into the

00:20:30.760 --> 00:20:34.157
infrastructure plays
and potentially the LLMs here.

00:20:34.240 --> 00:20:37.437
>> Vampire Dracula here. If you found
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