WEBVTT

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I'm here with Dr. Alex Karp, CEO
and co-founder of Palantir. Thank you for

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taking the time to do this.
>> By the way, I always say this, it's you

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know, you were you we we've been
together since the beginning of our life

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in the public markets. Um

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when we first uh DPO'd, um which is why

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so many people in America and across the
world got to participate. But, you know,

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without you, you know, sending
out missives about how we were

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misunderstood, you know,
probably millions and millions

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of people would not have participated.

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Um and yeah, it's Palantir's this kind
of crazy walled poster child company

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where people can only
understand the Palantir

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of 5 years ago,
not the Palantir that were we have.

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And so, you know, there was a lot of work
to do on the, you know, front line.

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I'm happy to have you with us.

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>> So, 6 years ago, you went on CNBC the
day you guys did DPO, and I think a lot

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of people didn't really
understand what you were saying.

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About 2 weeks ago, you also went on

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CNBC, and I think you changed in about

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20 minutes the entire valley's approach
to thinking about front-end models

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versus open-source models. So, quite
simply, why is open source so important

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for Palantir? >> Well, it

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what happened, by the way, that was like

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it was a revolution. It began with like

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work we were doing with Nvidia, and then

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going on um on on on television like

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that, it just exploded
in a way no one could

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have really predicted.
I think the explosion happened because

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you know, people are being sold this
thing they know isn't quite true, like

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you know, and then then they paid a price.
You're paying, you know, a lot of

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money if you're enterprise
for for tokens that are

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really it's hard to see the value. And

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then you realize at the same time the

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alpha of your business is migrating to

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the person you're paying an absurd sum

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of money based on value. And then, last

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and least, they're just behaving in the
public sphere in a way that is blowing

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up the politics of America, making people

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really afraid, leading to people just

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wanting to pillory wealthy people but not
help poor people. And you're sitting

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there and saying you're basically
like, "What is going on here?"

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>> Right. >> So, you have
that backdrop. Then, you

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have And by the way, part of the reason
for that backdrop, just to make this a

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little longer, is these models are

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excruciatingly effective

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when used with an application layer.

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Now, they all know that. When you use it

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in application layer installed

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with what everyone's now copying
from us called FDAs for X. So,

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then I think part of the reason
this revolution actually happened is

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technical participants
in the market know one thing.

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Palantir gets it right.
You think they're crazy. You think

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they're insane. Carp is obnoxious.

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And then it turns out
you have to copy him.

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Right? So, now, investors who are kind
of just chillaxing in front of their

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screen producing AI slop on their
computer and thinking I'm going to get

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rich and yeah, maybe core people, no one
else is going to get rich. They're like,

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"Yeah, but that's just how the world
works. You're good for me." They've been

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a little bit tone deaf to the technical
thing. So, they're very happy to watch

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the the the like the frontier. By the way,
I always feel like I have to say

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this. You know, >> Yeah,
people think you hate the frontier

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laughs. I don't think that's your point.

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I think your argument is >> Well,
people actually think I'm I'm

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going I'm like I'm kind
of not being like I spend

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more time defending Dario and more
effectively, honestly, cuz they don't

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even talk to like if you're telling
them the truth about what you think, they

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don't talk to you, apparently. Because
like the views there you know, and like

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I'm always trying to explain to you,
you know, it's a worldview. This is a

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essentially a world historic figure. He

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He really did take the LM revolution,

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bring it to enterprise in a way where
everyone found out something is going to

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be real. Now, of course, they don't talk
very much about almost all the values

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being created in ontology with their
models where they're doing good.

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>> Um so let's get into that discussion
because 2 years ago you made it very

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clear to everybody that the models would
be commoditized. The frontier labs have

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gotten better and better and better,
but with the rise of open source, which I

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think is kind of in your point
and video's point, the cost of tokens is

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coming down. Which means the application
layer, something that processes,

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orchestrates, governs the tokens
is becoming more powerful.

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>> You know, you would need
compute so that Nvidia primarily

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um and we're very strongly partnered
with them. You you would need an

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application layer because that while
the and you need a way of installing them.

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So, you need FTEs, you need an application
layer, people generally call

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that an ontology now after
maligning it everywhere

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uh because they you need to do it's and
there's two points. Simply put, there's

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safety. So, you know,
we've now we're now helping

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people and I think people are aware
of the dangers of just, you know, like

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look, they you know, a lot of our clients
are running around saying no no

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ontology, no love meaning no glove, no
love. So, like it's probably not exactly

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what I can say on TV,
but >> It's a famous last word.

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>> It's like they're like, yeah, they're
like, "Hey, look, no ontology, no love."

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It's like it's like it's like gone it's
gone viral in corporate America. It's

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like it's crazy. It's like it's so
there's like but there's a safety

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function like if you're
meeting someone you don't know

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and who may have a history of doing
things and leaving certain products

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behind that you know, you can't get rid
of, you probably be insane not to have

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ontology protecting you.
So, that is the safety function

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and that's that so that that's crazy
important. By the way, with models

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coming from the whole world, that safety
function is going to be even more

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important. But in the end of the day,

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businesses need to expand their tribal
knowledge, their alpha while protecting

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it. And so, then there's another term
which is now being adopted essentially

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the orchestration. How do you actually
deploy the models so that they can do

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exactly what they're capable of doing
while not not providing like chillaxing

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swap? Uh so, you get >> Why
is open source plus the ontology so

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important for orchestration? >> Okay.
Well, within the Well, first of all, it's

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because that's where you get the maximum
convergence between pro safety because

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you the open source model is is is not
aspiring in any way, obviously, to

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export although you do have our,
you know, whatever protective layer

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probably. So, um >> That data
is not going back to Frontier Labs.

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>> So, it's essentially but then you
also the it allows you to fine-tune the

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model. The fine-tuning is very hard
to do without dealing with the Frontier

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Lab. And when you're fine-tuning, you're
basically exploiting what is the alpha

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you're trying to create on top of the
alpha that's deep in your business. What

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is the context of your enter >> What
is the context of your enterprise?

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What is a specialized problem

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>> sets embedded
in your data that you have

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a unique lever and insight into way of
solving. So, if you're building, I don't

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know, you're building a drug to reduce
the chance of cancer, like you are

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actually building it on proprietary
data and proprietary insights on how the

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human body works. >> Right. >> Right.
And that like so, or you know, in

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Battlefield's obvious, but every single
enterprise that is actually valuable.

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Like how do you define an enterprise

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that's valued? It has a specialized way

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of doing something a consumer wants or

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in the government context has
a specialized way of doing something that

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the end user does not want that protects
your people from the end user.

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Like this so, that's like this is so,

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that that to do that most efficiently,

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you would need compute uh ontology both

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protective and alpha augmenting
and creating. And you need to make sure it

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doesn't transfer you that own those
weights yourself. So, this by the way,

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this is not speculative. We we've
seen this already in the US government

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context where in context that is very
very hard to use frontier labs or where

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there are other quite firm. I don't

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understand this. I'm willing to go like

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By the way, in what world does the

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Department of War, the only institution
in America that is extremely high

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credibility, the institution that
integrated before anyone else, that

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protects us every day, that protects,
that allows us it to export our

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technology, in what world are we
outsourcing the moral veracity of that

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to a bunch of people sitting very far
away who do and they're even met a man

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or woman in uniform and it's presumably
don't care if they come home alive at

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least in practice. So, there's also like

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who makes these decisions? By the way,
Palantir we've always been part of the

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reason the sovereignty thing actually

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works is technical users know for

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whether it was PG,
Foundry, Ontology, Maven,

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uh now sovereign AI, we've always been

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on the side of protecting individual

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rights, protecting data, and protecting

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by logical extension your sovereignty.

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So, that like we that that's actually

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where we should all be as a country
and as a tech community. And then

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there's the reason though
that this ended up being

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you know, now I should say I'm wildly
happy you have a lot of people entering

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and taking, you know, cuz this is actually
where it should be and we don't

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like just cuz we basically are have been
at the forefront of launching many of

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these revolutions and it's commonly

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known in tech in technical circles that

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we do this well. Um you know, building a

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broad The reason you see this broad

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phalanx of a coalition is the customers

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this is what they want and need.
They are livid at the option that was

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provided and this this way of doing
things. In fact, currently the biggest

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problem at Palantir is just
how do we scale this?

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>> So, so what is but there's a lot
of customers here. By the way, the

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backstory here because
of this is you get the backstory.

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>> Like usually it two three years
ago playing AIP like >> Oh, I remember.

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>> Like playing AIP >> This
was like, "Hey, we're doing

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something really cool.
Let's just invite people." And

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I mean like but but and look
at the people out there.

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>> Yeah. >> It's like they care.
They they care.

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It's like they want to learn. We are
actually partnering with them. They're

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from every part of industry. They're
the among the most important industries in

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the world. >> So, so what
has the customer respond?

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You're on the front lines with customers
every day. What is their response been?

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>> I say Well, it's it's um it's it the

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response to I would say the open source

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as a part of the sovereign narrative is

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a colossal It is what It's not only what

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they want and need. It's like Imagine

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again if someone is you're using
this thing you just have a bad feeling.

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And then And now like now you understand
why you have this deep bad feeling and

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and honestly in many cases that's where

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I end up defending uh there's anger. So

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now it's like there's like a valve
release. The problem we have as a

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company is how do we stay very focused
like we're going to We just have to I

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get calls from all
over the world. I'm like

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"Can you come to my office?" Like we

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We're just like we we're we're

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rebuilding internal dynamics a lot here.

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Uh rebuilding infrastructure, you know,
this sovereign AIP like requires us to

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build out certain parts of mythology,
to build out our ability to fine-tune

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models, to service a demand both in the

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US government and in US commercial uh
that we can't really fulfill. We're also

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doing a lot of educational stuff.

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>> Yeah. >> It's Speaking
of education, one thing

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that is I've heard a lot is a lot of these
open source models are coming from

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China. And somehow they're like, "How
is Palantir endorsing China?" Can you give

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a response? >> endorsing
we're endorsing what what

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Well, first of all, we obviously are
I mean very pro-American. You see we're

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partnered with Nvidia, a great American
company. Um, the way Look, there's a

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there's a template of how not to do this.

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>> Yeah. >> It's called Europe.

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Europe basically tries to close its
borders. I mean, there are all sorts of

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reasons how they It doesn't now put this
way, but de facto, they're closing their

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board trying to close their borders
to US tech, right? That The problem with

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that, leaving everything else aside,
is they're screwing European tech.

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>> Mhm.

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>> You must be able to compete. Like, we I

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believe that we will we can deliver.

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I've seen this I in practice frontier

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surpassing uh alpha creation.

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Where we're honest about what
models do and don't do safely.

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>> Correct. >> Right? And that's being
done with a completely American stack.

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>> Which means you can download the
open-source models, no matter where they

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were created, but run them locally,
which fundamentally changes the game.

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>> I Yes, but I mainly we have a strong
preference for American models. Some of

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our clients use models from all
over the world, including China.

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I do believe if you're using any
of these models, you know, I mean, I I I

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this the I can't go and disseminate, you
know, no no Palantir, no no ontology, no

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love, because it may be not be right
for the TV audiences, although who knows

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what I'll do. But um but yeah, it's
going to put obviously it creates great

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demand for our products. So, since I
don't want to be out there like I I'm

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cognizant of how this like is going
to help us, obviously. But But But But But

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again, you you have to be very careful.

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Like, you can we should obviously
scrutinize all models. There needs to be

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better oversight, no doubt.
All models. But you do not want to do,

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if you do this, what Europe is trying to
do, what you get are weak companies that

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nobody actually believes can compete.

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And that's So, you're screwing the people
you're trying to help. You know,

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business is a weird thing. You can you

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can nudge, you can have preferences. If

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you do overt like that level without
without being able to show something,

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you end up with industry that is and
America is the dominant player in the

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world. Um, and so I think
this will force a lot of honesty

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because if you are doing compute

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ontology, uh, actual product-based and

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technical orchestration of and FTEs

00:13:48.880 --> 00:13:50.877
with open model models, open way models,

00:13:50.960 --> 00:13:55.957
that's that is by far the best thing
on the market. And yeah, the other things

00:13:56.040 --> 00:13:59.597
are, you know, so yeah, it's it's it's
going to be very good for America and I

00:13:59.680 --> 00:14:02.077
don't think it's going to be I think
it might actually be pretty good for

00:14:02.160 --> 00:14:04.517
Palantir, too. >> Last question
for you, Dr. Karp. Again,

00:14:04.600 --> 00:14:08.637
thank you for taking time. Uh, a lot
of people are wondering, is there actually

00:14:08.720 --> 00:14:11.517
going to be a light at the end of the
tunnel when it comes to this entire AI

00:14:11.600 --> 00:14:16.557
revolution? Put broadly,
what does it mean to be a

00:14:16.640 --> 00:14:21.117
enterprise software company that actually
delivers value in the age of AI?

00:14:21.200 --> 00:14:23.757
>> Oh, you mean what does
it mean to be Palantir?

00:14:23.840 --> 00:14:26.677
Uh, look, >> Well, we're we're
It's a better way to put it.

00:14:26.760 --> 00:14:30.557
>> we're we're we're we're
Palantir is at the way

00:14:30.640 --> 00:14:34.717
beginning of a revolution. Like I was I
was just uh, two two years ago we're

00:14:34.800 --> 00:14:38.357
sitting here, we have an offsite, people
are like, "Tell me something you believe

00:14:38.440 --> 00:14:40.557
and no one else believes."
And like, we're obviously going to be a

00:14:40.640 --> 00:14:44.157
trillion-dollar company. Now, I think

00:14:44.240 --> 00:14:49.757
we're at the way beginning of a massive
massive opportunity and there is no,

00:14:49.840 --> 00:14:53.117
like, it's very hard to know what
the end point is, but I can tell you

00:14:53.200 --> 00:14:58.157
I can see American industry just
accelerating forward and I think

00:14:58.240 --> 00:15:00.997
Palantir is going to play
a disproportionate role in that simply

00:15:01.080 --> 00:15:04.837
because you can kind
of fake like you've done

00:15:04.920 --> 00:15:08.957
these things before FDA application layer.

00:15:09.040 --> 00:15:11.637
>> Uh, terms that everyone
start using now.

00:15:11.720 --> 00:15:15.277
>> It's like, but it it is yeah,
but it First of all, it's it's it's the

00:15:15.360 --> 00:15:17.637
orchestration of all these
things at the same time.

00:15:17.720 --> 00:15:19.677
>> Which is art.
>> It's art It's much more art than

00:15:19.760 --> 00:15:22.637
science. You also you need deep access

00:15:22.720 --> 00:15:27.197
to these data sets and it working you
need a knowledge of how to work within

00:15:27.280 --> 00:15:30.917
these institutions to expand them. They
have to have seen your products actually

00:15:31.000 --> 00:15:33.757
work. Also, the software concept concept

00:15:33.840 --> 00:15:36.717
is very broad like it includes AI slop.

00:15:36.800 --> 00:15:39.837
It includes things that are obviously
going to be replaced and then it

00:15:39.920 --> 00:15:43.797
includes things that like most of what
Palantir does which are like essentially

00:15:43.880 --> 00:15:45.437
like primitive they're more like

00:15:45.520 --> 00:15:48.197
infrastructure you need to do to enhance

00:15:48.280 --> 00:15:51.117
what these things do and again, you

00:15:51.200 --> 00:15:54.117
know, the the demand for what we we do

00:15:54.200 --> 00:16:00.040
is beyond what we can supply.
>> Thank you. Thank you. Thank you.
