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Bring in show music, please.

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>> Hi, I'm CNBC producer Katie Kramer.

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Today on Squawk Pod, Palunteer CEO Alex

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Karp, a big interview that starts with a

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new partnership with chipmaker Nvidia.

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What aligns me with Nvidia and I think

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is what the c [music] technical
customers want which is control over

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their compute, their models,
their data stack and their alpha

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>> and spans to everything else he's fired
up about in artificial intelligence and

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national security. >> Are we
really going to outsource the

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battlefield of this country to the

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consensus view in Silicon Valley?

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[music] That is effing insane.

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Then what happens when two daughters
of Congress forge a friendship across the

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aisle? New children's book authors,
Ellie Godheimer of New Jersey. Just our

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dads [music] have always been friends.

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Forced Sarwell to go to a bipartisan
workout group most mornings when we're

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in Washington DC. [music] So we've kind
of trauma bonded over that a little bit.

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>> And Laura Mullen, daughter of the
Homeland Security Secretary Mark Wayne

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Mullen. >> It was definitely
very different than

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what you'd say [music] the normal
childhood. A couple times I felt like

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Hannah Montana.
Plus a mountain of disclosures about the

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president's finances. >> Ethics
watchd dogss obviously are going

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to be all over this. >> Should
a sitting president be allowed to

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trade [music] stocks on a regular basis?

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Should a congressman >> showing
more than half a billion dollars

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in crypto income
and raising some questions.

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>> We've created a system that at the

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minimum allows for the perception of

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effectively bribery.

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>> It is Wednesday, July 1st, 2026. Squawk

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Pod begins right now.

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>> Stand back by in three,
two, one. Cue up please.

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>> Good morning everybody. Welcome
to Squawkbox right here on CNBC. We are

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live from the NASDAQ market site in Time
Square. I'm Becky Quick along with Joe

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Kernin and Andrew Ross Sorcin. And here
we are, first day of the second half,

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first day of the third quarter. What
a first half it was for the year. At the

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halfway mark for 2026, the Russell 2000
is the standout performer for that first

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half. If year- to- date, it is up
by nearly 22%. It closed yesterday's

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session at a record high once again

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above 3,000. The Nasdaq is up by 12.8%

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for the first half of the year. The S&P

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500 is up by 9.5% and the Dow is up by

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nearly 9% closing out its best first

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half performance since 2021. But if you
were looking just at the second quarter,

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that's where there were some really
phenomenal performances. Uh particularly

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if you were looking at technology stocks,
the NASDAQ up by about 21 a.5%,

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but the NASDAQ 100, the largest

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technology companies up by 27 a.5% for

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the quarter. It's unbelievable to kind
of watch. We know about the Magnificent

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7 and the performance that they've
been putting in. But if you haven't been

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watching the parabolic seven stocks,
that was what really took off, not just

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throughout the entire quarter, but even
yesterday. All of those stocks up by

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about 6 to 12%. These are the stocks

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that you're watching. AMD, Dell,
Broadcom, Intel. Flip that over. You're

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also going to be looking at Micron,
Marll, SanDisk. Those seven stocks at

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this point with the gains that they
saw yesterday are actually exceeding the

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MAG7's multiples for the first time

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ever. AI's winning and and the war and

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and high oil prices losing. That's
the only thing I can say. I don't I don't

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know how you explain it. How long's
the war almost covered the entire quarter?

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Didn't not quite but it happened right.

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>> So all this is happening with that
as the backdrop and with what did oil

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prices average? They came down recently,
but they had to average >> above 90.

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>> I was going to say I
was going to say high 80s 90 95.

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>> So go figure. Is it got to be got to be
what happened with Yeah, it's got to be

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got to be. >> Yeah. Well,
and that parabolic seven, I

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mean, they they have just taken off.
It was the Mag Seven that were the first

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gainers for what was happening with AI.

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Now, this is the second iteration of that.
And um it's been something.

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>> We got a guy coming on in a second
who is calling him the lag seven

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>> instead of the mag seven.
>> We'll see what he means. Parabolic.

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>> See what he means by that. They haven't
done quite as well, but we'll see what

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he means. >> Look at look at those gains.
Micron up 202%, SanDisk up 24.

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>> Not lagging yet. Maybe in in recent uh
>> just in the last quarter perhaps. Um if

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you look at Treasury yields this morning,
because remember we do get that

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big jobs report tomorrow, a day early
because of the July 4th holiday on

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Friday. You'll see right now the 10-year

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is yielding 446. The 2-year is at 417.

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Anthropic now saying the US Commerce

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Department has lifted export controls on

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its Clawude Fable 5 and Mythos 5 models.

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uh it had disabled access to those
models in mid June to comply with the

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government's national security
restrictions. Anthropic said that Fibble

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5 will be available to global users on

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the cloud platform beginning today and

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it says it has restored access to Mythos
5 for some US organizations to continue

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to work with the US government
to expand access for more domestic and

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international partners and that's a big
move in terms of uh the next stage of

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all this. Having said that, we talked on
Monday just about how there was this new

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Chinese model which apparently is as good
if not better uh than the fable and

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mythos model. And so there's >> at some >>
we've heard that we've heard that before

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you know at certain things. Yeah. Yeah.

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I read it and it said it it very
specific, right? Do you know you know

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that all this stuff uh
much better than I do. But

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>> I've been, by the way, trying to see
even as I'm looking I was trying to see

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whether I could get back on Fable right
now, but I can't yet. Says it's still

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disabled on me. I saw it ask me. It

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asked me whether I wanted it the other
day. My friend called, but uh then it

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said it wasn't available.
>> It's not I mean I mine still says

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currently unavailable, >> but I
had a choice of like three other

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things that I didn't know if I wanted
any of those. I >> the other models.

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>> Yeah, you weren't
reachable. No, I think

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they want money for some
of them, don't they?

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>> Oh, I'm pay I'm
a paying customer. So, yes,

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>> I know you are. I know you are. You're
going to end up having to need one of

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those programs that looks at everything
that you've paid for. You know what I

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mean? Saw something the other day.
I wanted to read an article and it says

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you can get >> um 14 days free.
And I was like, "Okay,

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so I can see the article, but then it said
>> it automatically charges. You have to

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put your credit in ahead of your credit
card ahead of time." The only thing that

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ever saves me is that my credit card
every once in a while either I lose it

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or it gets stolen and then I cancel it
and then all of the subscriptions have

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to track me down to say, "Give me the new
credit card." And I think to do cancel it.

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>> All right. Separately, Anthropic
is starting an internal drug discovery

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program as part of an effort to develop
AI tools for drug makers. The company's

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head of life sciences said yesterday
that the company will focus on

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discovering treatments for what they
call neglected diseases that would be

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considered attractive targets
for traditional pharma companies. A

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spokesperson told CNBC that the effort

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was just beginning, that they would

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share more as their work progresses.

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Shares of Nike uh falling to levels that

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uh we haven't really seen much recently
from this company. It was a high flyer

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company reporting adjusted earnings of

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20 cents uh a share beating estimates 39

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of 13 cents. That adjusted number does

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uh not include 52 cents a share of

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tariff related uh gains, refund related
gains. Analysts didn't include that in

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their estimates. The company said it
collected more than $300 million in

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tariff refunds, revenue of about 11

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billion, topped estimates of 10.9

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billion, and North American sales of

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$4.8 billion. That was uh apparently

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below expectations. Um,
China sales dropped 12% but still

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topped analyst estimates as for guidance.
Nike expects earnings for to

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be flattish for the next two quarters.

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I'm doing all this trying to see if this

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is uh Yeah, it's a new low. Uh and we

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have to go all the way back to God,
>> it's down sharply this

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>> probably like an 8 year
low last year, >> isn't it?

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>> Yeah, it's down sharply just
this last year too if you're watching.

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>> But look at the high. >> I don't
know what the high looks like it

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got us somewhere around 150 >> 50 or 60.

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>> Yeah. In the market cap now
for the >> Dow Dow component.

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>> I was thinking about that this morning.

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um it's going to be like under like
around 45 billion and at one point it

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had to be well over 100.
>> Three years down 64%. I mean they

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they've just said that their
customers around the globe are

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>> they lo when they when you lose
Sorcin you lose Have you bought any Nike

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sneakers? When's the last time
you bought some Nike sneakers?

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>> I haven't bought any
Nike sneakers in a while.

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>> I'm rooting for them. I I mean I love
Nike more than anything. And that ad, I

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don't know if you remember that ad um
right after the Knicks won [snorts] was

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one of the great sports ads >>
in someone who doesn't watch, you see it

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online. You don't see it on TV cuz
you've been see any of these ads cuz you

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saw some other ad you really like
too for uh >> Oh, for Poly Market.

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>> Yeah. Where are you
seeing these online?

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>> Well, that one I saw.
No, the that one I saw.

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>> You're not watching TV. >> It
was I do watch I was watching the the

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the game at the time. >> How many
times can you watch Billions? I

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I don't understand it. Don't you know
every line that's that's coming? I mean,

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and there's no commercial.
>> I'm watching other things.

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>> Really? >> Yes. I'm watching.

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>> But anyway, let's root for Nike because
they need to get back. What do we have to

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>> You don't have to root for Nike.

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>> And you know,
I'm not I'm rooing against

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I don't have to like so many things.

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I've been rooting against I have not

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bought a Nike product in years. I won't.

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Still mad about those the cops that were
like pigs on those socks. I'm still mad

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about that. Still mad about that. I'm
sorry. Mad about kneeling. Mad about all

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that. >> Um,

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young man. [laughter] >> I'm
I don't like that cloud. I'm

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shaking. >> Okay. Well,
tell me what you [laughter]

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>> tell me what you think about
this next story because there are people

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>> I need to know what you think.

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>> There are people who are who are making
that that who are doing that about where

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I'm going. >> You have to tell me what
how to think because I don't know. I I

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>> that's what I I've thought
about this and my answer is

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>> there's a lot of Okay, I will but
there's a lot of questions. I don't have

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the answers. You need to tell
me how to think about this.

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>> Okay, tell the story first.

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>> So, no, here's the story. The Office of
the Government Ethics released President

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Trump's annual financial disclosure

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report yesterday. It revealed that the

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president pulled in at least $2 billion

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in 2025. of his crypto-related income in

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2025 included about $515 million from

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the sale of tokens uh from the World

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Liberty from World Liberty Financial and

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another 65 million from sales of equity

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in World Liberty's holding company. He

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also received $635 million in royalties

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from Celebration Coins. It wasn't
immediately clear what those coins are,

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though Bloomberg is reporting that the
royalties are related to Mr. Trump's

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memecoin business. Now, he earned more

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than $86 million in legal settlements as

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well. Those included the $24.5 million

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from Meta, $16 million a piece from

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Paramount and Disney. And President

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Trump's biggest stock holdings include

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Amazon, Meta, Nvidia, and Tesla.

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>> Right. Okay. >> So,
lots of questions. Tell tell me what

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the answers are to the questions because
we don't have answers to the questions,

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right? I I will tell you I'll tell you

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one other thing. He made uh 4.7 million

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from I almost contributed to that uh

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Trump watches. Okay. Trump branded

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watches. I was going to buy you one. I

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can't remember which one. Mag me, you

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know, as a so

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this is I say this a lot and and as his

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other you know people say this is how
Trump rolls and it is how President

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Trump roll. He's selling watches. He's
selling Trump brand watches while he's

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president. >> I think that's
different than some of the >> well

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Bitcoin and other issues that his

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administration is having an impact.

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>> You have to and ethics watchd dogs

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obviously are going to be all over this.

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Democrats if if Democrats retake the

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House going to be all over looking
at this. The the people in charge of some

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watchdog groups are saying there needs

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to be reform across the board in in the

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president be allowed to trade uh stocks

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on a regular basis. That's the

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discretionary. His is supposed that they

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emphasize that that's discretionary.

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>> The journal points out he he has a vast
and sunundry business that Donald Trump

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does. There's there's no doubt about his
sons are running it. They're not stupid,

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I don't think. and

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to go from making investments to being

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able to prove that there was quid proquo

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or influence pedalling or whether people
just think if I do this I'm going to be

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in >> but is barisma
the same thing with Biden

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>> that's what I mean

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and okay how about this question

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if he was not president

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would his businesses have gone up more

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or less than than what happening.

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>> Well, you tell me. Do you >> I
don't know. These are my questions.

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That's why I'm asking you for the answers.

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>> So, let's start on the
world uh liberty business.

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>> Yeah, because that was 15 billion, it's
now 400 million or something or one of

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them. >> Okay. So,
that business wouldn't I don't

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think first of all crypto regulations
would have been different probably under

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a different president. The So,
the opportunity for all those crypto would

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be different. Does that mean that they
should not have tried to make the the the

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>> No, it's just can you benefit?

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>> The spokesperson
says that the president

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has made crypto or made
the United States the leading

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>> country.
I understand that. I'm I'm just

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all I'm look the thing that I care about

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as an American is I would love for for

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all of this to just be no money involved
with anything so you are not raising

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these questions because invariably what
happens is you sit here and you say to

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yourself, are certain people making
decisions for a reason? And by the way,

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it may not be that the president
is making uh specific decisions to enrich

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himself, but it may be that there are
other people who think that they can

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influence him. Maybe they're influencing

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him and maybe they're not. But either

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way, you then it it we sit here and we

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have to say to ourselves, what's going

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on? The UAE

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made a massive investment in world

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liberty. Would would would the UA you
just said, what would have happened if

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he wasn't the president? Would the UAE
have made an a massive investment uh in

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Liberty Financial? >> You have
question. That's what I said.

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Questions, but no. You know what is good
that there is all this disclosure?

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>> Sure. >> Amazing.
>> Disclosure is good. I I think it it it

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kind of raises the question though.
I think of it more of like when you were

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allowing the railroad to expand, if you
had known about that, if you were going

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to make some of those changes in advance
and you could buy the land along the

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way, right, >> before
anybody else knew about those

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things. I I don't know. I I don't know
exactly how this worked out, but those

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those are the types of questions if
you have regulatory control and you also

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have the [clears throat] first
mover advantage of knowing.

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>> Look, I think that
I've I've I've spoken

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about very on the show with you about
Nancy Pelosi and the trades and how I

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would tell you that that is I think I've

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00:15:13,520 --> 00:15:15,597
used the word shameful. So, if you if I

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can say that about trading,

283
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>> what would you say about this? I don't
I I'm just I'm I'm asking. That's why I

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told you that you need to tell me how
to think about it because I I don't I have

285
00:15:28,640 --> 00:15:30,557
questions but I don't have answers.

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Here's >> I think the answer
ultimately is that we

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have to find a way to make it such that

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our politics are somewhat immune from

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money and we've created a system that at

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the minimum allows for the perception of

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effectively bribery. That's >>
what's what what what is al it's

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unprecedented. There's no doubt. What's
also unprecedented, you know, I had a

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guy take office that was worth billions
and billions of dollars that has a bit

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that had a business a successful
business with golf courses and all this

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00:16:00,080 --> 00:16:01,757
crap all around the world. And that's

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not going to go away either. So I I

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think the question of whether

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I mean I think definitely after his
first term that that hurt his businesses

299
00:16:12,000 --> 00:16:15,437
it hurt his brand it hurt and then all
the litigation and everything that came

300
00:16:15,520 --> 00:16:19,357
from and the other thing Andrew January
>> if there okay there's smoke all right

301
00:16:19,440 --> 00:16:22,157
and there's whether there's fire I would

302
00:16:22,240 --> 00:16:26,877
think that there would be a zealous
pursuit of any of the things that you're

303
00:16:26,960 --> 00:16:30,877
talking about especially if if Democrat
>> well we also have an amalments clause I

304
00:16:30,960 --> 00:16:34,797
mean there are laws and rules rules
that are supposed to prevent these.

305
00:16:34,880 --> 00:16:36,157
>> It's impossible to make these sticks.

306
00:16:36,240 --> 00:16:40,237
Someone's going to do it with this guy
because he's got so many enemies.

307
00:16:40,320 --> 00:16:45,117
>> I I I wonder whether the rules have
to be not just enforced, but are going to

308
00:16:45,200 --> 00:16:47,197
ultimately have to be changed, >> right?

309
00:16:47,280 --> 00:16:49,437
>> And the question is, is there
going to be an appetite for that?

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00:16:49,520 --> 00:16:53,357
>> That's what that's what the ethics
guy said that we got to we got to look at

311
00:16:53,440 --> 00:16:58,317
the way everything is right now and we
got to like make sure that all these loop.

312
00:16:58,400 --> 00:17:00,797
>> Well, look, we've had basic
conversations. is it goes back to the

313
00:17:00,880 --> 00:17:05,357
the the trading story and we've not, you
know, here we are sitting around saying

314
00:17:05,440 --> 00:17:07,117
that we're not investing in, you know,

315
00:17:07,200 --> 00:17:09,917
doing what we do or the folks at the SEC

316
00:17:10,000 --> 00:17:13,517
uh don't don't uh invest in stocks.

317
00:17:13,600 --> 00:17:17,597
>> I bought like a couple of Bitcoin seven
years ago and you're still telling me

318
00:17:17,680 --> 00:17:22,477
that that my opinion is based on me
buying that and it isn't. I mean,

319
00:17:22,560 --> 00:17:26,877
>> look, the the the point is >> I
s actually I didn't say that. I sold

320
00:17:26,960 --> 00:17:29,197
90% of it below where it is now.

321
00:17:29,280 --> 00:17:33,917
>> Okay. The point is that most people
at companies around the country have very

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00:17:34,000 --> 00:17:37,277
significant restrictions on what
they're able to do. If you are the CEO of

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00:17:37,360 --> 00:17:40,557
Goldman Sachs or JP Morgan, you're
limited about what you're able to do. If

324
00:17:40,640 --> 00:17:45,517
you we have lots of restrictions in most
of corporate America, frankly, and lots

325
00:17:45,600 --> 00:17:49,677
of parts of the regulatory world as well.
And yet, for whatever reason, you

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00:17:49,760 --> 00:17:51,037
we're saying in the White
House is different.

327
00:17:51,120 --> 00:17:54,477
>> Are you up to speed on the Ro Kana
stuff? I've been seeing this stuff on on

328
00:17:54,560 --> 00:17:56,717
Twitter. I mean,
he's How much is he worth?

329
00:17:56,800 --> 00:17:59,437
>> He's worth an extraordinary amount
of money. I mean, it's through his his

330
00:17:59,520 --> 00:18:01,757
wife's family, but >>
a lot of trading, too.

331
00:18:01,840 --> 00:18:04,957
>> But there's a lot of trading. And the
question is, how how how would you like

332
00:18:05,040 --> 00:18:07,037
to limit that? I And by the way, I think

333
00:18:07,120 --> 00:18:11,997
we should try to try to limit those
things or at least create systems that

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00:18:12,080 --> 00:18:15,597
make you feel better about how how those
things work. I don't, by the way, we

335
00:18:15,680 --> 00:18:20,077
should have people who have
wealth uh in in Washington.

336
00:18:20,160 --> 00:18:22,157
>> Exactly. Because you don't want
people who are completely unsophisticated.

337
00:18:22,240 --> 00:18:25,277
>> I'm not suggesting that we don't want
that. I'm just suggesting that there are

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00:18:25,360 --> 00:18:27,357
rules. By the way, when Jake Clayton

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00:18:27,440 --> 00:18:30,797
went to the SEC, you know, his uh his

340
00:18:30,880 --> 00:18:34,957
his wife had worked at Goldman Sachs,
stopped working at Goldman Sachs. I

341
00:18:35,040 --> 00:18:37,917
mean, I'm just saying
>> cheese will be next.

342
00:18:38,000 --> 00:18:40,397
>> Coming up on Squawk Pod, Palunteer is

343
00:18:40,480 --> 00:18:43,357
teaming up with Nvidia and Palunteer CEO

344
00:18:43,440 --> 00:18:48,077
Alex Karp is fired up about the way
technology works right here at home.

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00:18:48,160 --> 00:18:50,317
>> You sound pretty angry. [music] No, the

346
00:18:50,400 --> 00:18:53,737
this is the voice of American business

347
00:18:53,820 --> 00:18:58,077
[music] that is being channeled through
me. And I'm telling you, it is it is

348
00:18:58,160 --> 00:19:00,077
absolutely a problem for this country.

349
00:19:00,160 --> 00:19:04,217
>> It's the type of conversation you'll
only hear on Squawkbox and the kind of

350
00:19:04,300 --> 00:19:06,637
[music] passion you'll
only hear from Alex Karp.

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00:19:06,720 --> 00:19:09,117
>> And I'll tell you,
uh, we're off camera now.

352
00:19:09,200 --> 00:19:15,000
>> We're still going.
>> Stay with us through this quick break.

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00:19:18,160 --> 00:19:21,117
This is Squawk Pod from CNBC. Here's

354
00:19:21,200 --> 00:19:25,117
Andrew Ross Sorcin. >> Palanteer
expanding its partnership with

355
00:19:25,200 --> 00:19:29,757
Nvidia to build custom AI systems
for the US government. That stock uh

356
00:19:29,840 --> 00:19:34,637
shooting up. It's up again this morning,
up almost 6% uh this week. And joining

357
00:19:34,720 --> 00:19:37,997
us right now exclusively at the table,
Alex Car, Palanteer's co-founder and CEO

358
00:19:38,080 --> 00:19:41,277
and CNBC's Simodi, who covers Palunteer

359
00:19:41,360 --> 00:19:46,157
uh joins us. and uh tell us about tell
us about the deal with inv there's so

360
00:19:46,240 --> 00:19:49,357
many things I think we all want to talk
about but but let's get to the Nvidia

361
00:19:49,440 --> 00:19:51,597
deal first >> because
because I have so much respect

362
00:19:51,680 --> 00:19:53,757
for Nvidia and Jensen Wong I'm going to

363
00:19:53,840 --> 00:19:58,797
try to keep this more adult than I
usually do but the truth is if you want

364
00:19:58,880 --> 00:20:03,037
to know how this came together from my
perspective it was uh it there's there a

365
00:20:03,120 --> 00:20:06,157
lot of technical issues who controls
the models who controls the weights who

366
00:20:06,240 --> 00:20:08,717
controls the value of your business um

367
00:20:08,800 --> 00:20:13,277
but um you know we're on we're we're
sitting on critical infrastructure

368
00:20:13,360 --> 00:20:15,597
across America, Ukraine, Israel.

369
00:20:15,680 --> 00:20:17,437
Everyone who uses LLMs on the

370
00:20:17,520 --> 00:20:19,917
battlefield runs on top of our ontology.

371
00:20:20,000 --> 00:20:23,677
Um, and our clients are just to say

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00:20:23,760 --> 00:20:27,677
they're unhappy with the Frontier Labs
is to say I'm welcome at the Berkeley

373
00:20:27,760 --> 00:20:30,157
faculty. It's like there's just a level

374
00:20:30,240 --> 00:20:35,517
of discomfort and loss of trust
that also made it it really really

375
00:20:35,600 --> 00:20:39,837
>> Okay, unpack that. What do you mean
by that? Well, you have Okay. So, when

376
00:20:39,920 --> 00:20:44,477
you're on when you're using large
language models, they are it's like a at

377
00:20:44,560 --> 00:20:48,957
this point everyone technical realizes
they're like a critical resource to make

378
00:20:49,040 --> 00:20:52,877
them valuable in an enterprise like
battlefield context or regulated context

379
00:20:52,960 --> 00:20:56,477
or manufacturing. You have to have
what's called an application layer. We

380
00:20:56,560 --> 00:20:59,677
we have this thing called ontology that
now everyone's copying. But de facto it

381
00:20:59,760 --> 00:21:01,357
takes a large language model. It makes

382
00:21:01,440 --> 00:21:05,437
it safe and useful and precise. So safe

383
00:21:05,520 --> 00:21:08,797
because it doesn't touch your unluring
data. Safe because it prevents the large

384
00:21:08,880 --> 00:21:13,117
language model from caching your data
and replicating your business. Uh uh

385
00:21:13,200 --> 00:21:15,517
safe because it doesn't transfer your IP

386
00:21:15,600 --> 00:21:17,917
of how to fight secret data, top secret

387
00:21:18,000 --> 00:21:21,197
data or in in a clinical context. So the

388
00:21:21,280 --> 00:21:23,277
the general way these things were sold

389
00:21:23,360 --> 00:21:25,997
and again these people are I Sam and and

390
00:21:26,080 --> 00:21:30,717
and Daario you there's nothing more fun
than debating Daario in private. So this

391
00:21:30,800 --> 00:21:32,797
is I'm not throwing shade at them, but

392
00:21:32,880 --> 00:21:35,277
something has gone completely wrong. And

393
00:21:35,360 --> 00:21:38,397
the basic view among enterprises in this

394
00:21:38,480 --> 00:21:41,677
country is I'm going to chill lax uh and

395
00:21:41,760 --> 00:21:45,437
waste my time with tokens. I'm going to
get no value and they're going to get my

396
00:21:45,520 --> 00:21:49,597
IP. >> That sounds like shade though. And
not just shade. It sounds like if you're

397
00:21:49,680 --> 00:21:52,077
saying these >> No, no,
no, no, this is reporting.

398
00:21:52,160 --> 00:21:54,557
>> Okay. And I this is reporting that I've

399
00:21:54,640 --> 00:21:56,877
I've literally against my own interest

400
00:21:56,960 --> 00:21:59,197
called these like I'm profiting from

401
00:21:59,280 --> 00:22:01,917
this right. So the reality is you may

402
00:22:02,000 --> 00:22:04,637
not like us at my former school Hford or

403
00:22:04,720 --> 00:22:07,197
Berkeley but enterprises in this country

404
00:22:07,280 --> 00:22:09,757
trust and love us especially ones that

405
00:22:09,840 --> 00:22:14,877
are involved in critical infrastructure
both public and private. Okay. So I want

406
00:22:14,960 --> 00:22:16,397
for those countries we're coming up to

407
00:22:16,480 --> 00:22:19,197
July 4th. I want those c I want for us

408
00:22:19,280 --> 00:22:24,317
and our our our our our our friends
across the globe to have the very best

409
00:22:24,400 --> 00:22:28,077
tech resources. In fact, the whole
secret of challenge here is the forward

410
00:22:28,160 --> 00:22:31,757
deployed model, the products that have
been five years ahead. You know, you've

411
00:22:31,840 --> 00:22:35,837
been with me for a long time.
Everyone everyone everyone said FDEs were

412
00:22:35,920 --> 00:22:38,877
services. They said we don't even know
what an ontology is. That's the only

413
00:22:38,960 --> 00:22:40,397
thing people talk about now. It the

414
00:22:40,480 --> 00:22:42,957
secret was we delivered the best things

415
00:22:43,040 --> 00:22:46,717
for the war fighters. Those war fighters

416
00:22:46,800 --> 00:22:51,197
have serious trust issues. But it's not
just the word visav frontier labs. Then

417
00:22:51,280 --> 00:22:55,197
you have my enterprises in the private
sector who have the same issues. They're

418
00:22:55,280 --> 00:22:59,597
like, why would they get access to my data
if they're going to build my alpha?

419
00:22:59,680 --> 00:23:02,637
Why wouldn't I control the weights?
Why would And that's where you get this

420
00:23:02,720 --> 00:23:06,077
partnership. What what aligns me with

421
00:23:06,160 --> 00:23:09,277
Nvidia and I think is what the c

422
00:23:09,360 --> 00:23:11,277
technical customers want which is

423
00:23:11,360 --> 00:23:14,557
control over their compute

424
00:23:14,640 --> 00:23:20,157
their models their data stack and their
alpha. They want to know they own the

425
00:23:20,240 --> 00:23:22,957
means of production. It's not being
transferred to someone else. They're not

426
00:23:23,040 --> 00:23:27,277
interested in some fake deploy code
that somehow is deploying tokens that

427
00:23:27,360 --> 00:23:31,677
transfers the alpha to a third party and
the jig is up. So we have to figure out

428
00:23:31,760 --> 00:23:34,237
a way both pro both our our products are

429
00:23:34,320 --> 00:23:38,717
agnostic. We we we now sell a product to
customers that allows you to switch from

430
00:23:38,800 --> 00:23:42,957
model to model because and we're
completely agnostic but we need to

431
00:23:43,040 --> 00:23:47,677
rebuild trust and that trust is going
to happen where everyone gets to ask ask

432
00:23:47,760 --> 00:23:52,557
and answer basic questions. Who owns
the data? Where is it cached? Are the

433
00:23:52,640 --> 00:23:56,877
prompts secure? Is this being
transferred to you? Are you being comp?

434
00:23:56,960 --> 00:24:01,117
Okay, if it was so valuable, let's say I
can make you a billion dollars tomorrow,

435
00:24:01,200 --> 00:24:05,437
wouldn't I say, I'll make you a billion
dollars and I want 30%. Why are they

436
00:24:05,520 --> 00:24:07,117
charging for tokens if it's so valuable?

437
00:24:07,200 --> 00:24:08,957
>> So then, Alex, if the key from what I'm

438
00:24:09,040 --> 00:24:12,397
hearing you say is a secure Americanborn

439
00:24:12,480 --> 00:24:17,997
open-source model, how quickly can
your model compete with the frontier AI

440
00:24:18,080 --> 00:24:20,877
and aentic AI >> test?
Okay. what what I am claiming

441
00:24:20,960 --> 00:24:23,357
obviously slightly true but slightly

442
00:24:23,440 --> 00:24:27,197
self-centered is it's the model plus an

443
00:24:27,280 --> 00:24:29,997
application layer plus compute it is

444
00:24:30,080 --> 00:24:33,197
really all three so in our jargon it's

445
00:24:33,280 --> 00:24:37,437
the value the reason okay just look
at our financials the reason why everyone

446
00:24:37,520 --> 00:24:39,597
is chillaxing with bad financials and

447
00:24:39,680 --> 00:24:42,237
growth with losing money is the client

448
00:24:42,320 --> 00:24:45,117
refuses to pay the true cost the two

449
00:24:45,200 --> 00:24:49,997
places that actually make money
like profit free cash flow are our

450
00:24:50,080 --> 00:24:52,077
application layer called ontology and

451
00:24:52,160 --> 00:24:54,637
compute. Okay, what I am not just

452
00:24:54,720 --> 00:24:59,677
claiming we can take an open model
and in the classified or non-classified

453
00:24:59,760 --> 00:25:01,517
context get it to the point of a

454
00:25:01,600 --> 00:25:05,037
frontier model but a you control the

455
00:25:05,120 --> 00:25:08,717
weights. So what is the true cost?
Not just what you're paying. The true cost

456
00:25:08,800 --> 00:25:11,917
is not just is what you make minus what

457
00:25:12,000 --> 00:25:16,237
you lose. Meaning the value
of your business. But we can get the the

458
00:25:16,320 --> 00:25:21,517
frontier application to be exactly
the same as a frontier model without the

459
00:25:21,600 --> 00:25:25,037
risk of transferring the alpha of your
business to another. By the way, you

460
00:25:25,120 --> 00:25:29,117
could do this with a frontier closed
model too. But then the clients have to

461
00:25:29,200 --> 00:25:32,957
be able to ask and answer very basic
questions. Are you keeping the data? Are

462
00:25:33,040 --> 00:25:36,957
you going to enter our business? What
do you are in the classified context when

463
00:25:37,040 --> 00:25:41,837
the do department of war goes to you and
says I need this application do they get

464
00:25:41,920 --> 00:25:45,437
to control the weights to do it or do
you get to control the weights? Are we

465
00:25:45,520 --> 00:25:49,277
really going to outsource
the battlefield of this country to the

466
00:25:49,360 --> 00:25:51,997
consensus view in Silicon Valley? That

467
00:25:52,080 --> 00:25:56,957
is effing insane. And by the way,
every single enterprise in this country in

468
00:25:57,040 --> 00:26:00,317
private, a lot of them don't want
to speak in public because it get out it

469
00:26:00,400 --> 00:26:03,917
gets outsourced to the neurode divergent
crazy person that apparently is on

470
00:26:04,000 --> 00:26:07,277
drugs. The one thing I don't do uh it it

471
00:26:07,360 --> 00:26:09,357
okay so that's my role. But I'm telling

472
00:26:09,440 --> 00:26:12,237
you in this country at every single

473
00:26:12,320 --> 00:26:14,797
enterprise I deal with they these people

474
00:26:14,880 --> 00:26:19,277
are livid. They're like I am paying
for tokens that create no value. These

475
00:26:19,360 --> 00:26:22,557
people are stealing the weights
and alpha of my business and they're

476
00:26:22,640 --> 00:26:26,717
creating a wealth tax that does not help
the poor. It just punishes starts with

477
00:26:26,800 --> 00:26:29,677
the billionaires. Every single person
at this table is going to be paying a

478
00:26:29,760 --> 00:26:32,237
wealth tax only to punish us. And the

479
00:26:32,320 --> 00:26:34,797
reason for it is because these models

480
00:26:34,880 --> 00:26:39,677
have been completely over irresponsibly
overs. And the sale is it's dangerous

481
00:26:39,760 --> 00:26:43,037
for everyone, which is why I can give
it to all your adversaries, but I can't

482
00:26:43,120 --> 00:26:46,717
give it to the Department of War or I
can't safely give it to an enterprise in

483
00:26:46,800 --> 00:26:50,957
this country without being certain
that the alpha of that business could

484
00:26:51,040 --> 00:26:53,757
transfer to this model tomorrow.
I.e. I have no business, no job.

485
00:26:53,840 --> 00:26:56,477
>> You sound pretty angry. No, the this is

486
00:26:56,560 --> 00:26:59,997
the voice of American business that is

487
00:27:00,080 --> 00:27:04,477
being channeled through me. And I'm
telling you, it is it is absolutely a

488
00:27:04,560 --> 00:27:06,237
problem for this country because we are

489
00:27:06,320 --> 00:27:08,957
on the cutting edge of every single AI

490
00:27:09,040 --> 00:27:11,677
technology. But if you're going to

491
00:27:11,760 --> 00:27:16,477
triply oversell something and the and by
the way, the enterprises are just tired

492
00:27:16,560 --> 00:27:19,197
of it. >> But by the way,
just a minute. I want

493
00:27:19,280 --> 00:27:23,437
you everybody watching this to test
what I'm saying, especially investors who

494
00:27:23,520 --> 00:27:25,677
think somehow this is working. Pick up

495
00:27:25,760 --> 00:27:29,197
the phone and call a CEO in private, not

496
00:27:29,280 --> 00:27:31,197
in public. Every single person here can

497
00:27:31,280 --> 00:27:36,237
do this. Call two or three and say, "Mad
Man Karp is on TV saying we're livid."

498
00:27:36,320 --> 00:27:39,117
I'm not going to quote you. You know,
I won't quote you. You have a history. And

499
00:27:39,200 --> 00:27:42,157
see, they're twice as liid as me. Like,

500
00:27:42,240 --> 00:27:46,557
>> so if you're right though, does that
mean that we are living in some kind of

501
00:27:46,640 --> 00:27:50,077
terrible AI bubble and that we're
going to in in a quarter or two or three

502
00:27:50,160 --> 00:27:54,957
quarters from now, we're going to hear
that big enterprises are canceling their

503
00:27:55,040 --> 00:27:59,597
subscriptions to these products or that
the buildout is going to slow because

504
00:27:59,680 --> 00:28:01,597
>> this is this is the tragedy of it. The

505
00:28:01,680 --> 00:28:06,317
reality of compute plus ontology plus

506
00:28:06,400 --> 00:28:08,797
model changed the is changing the course

507
00:28:08,880 --> 00:28:12,237
of history. it. Ask the Ukrainians, ask

508
00:28:12,320 --> 00:28:15,917
the Israelis, ask our Department of War,
ask the enterprise that are working. We

509
00:28:16,000 --> 00:28:18,637
do not have to oversell what we have. We

510
00:28:18,720 --> 00:28:23,037
have and it's all being built in this
country basically except for the open

511
00:28:23,120 --> 00:28:26,077
models, which is a real thing coming
from China, except for Nvidia open

512
00:28:26,160 --> 00:28:28,557
models, which are world class basically.

513
00:28:28,640 --> 00:28:33,197
Um, that it's all being built here.
We do not have to overhype. We do not have

514
00:28:33,280 --> 00:28:36,637
to overhype it to the point where we're
going to have wealth tax punishing,

515
00:28:36,720 --> 00:28:39,677
>> right? If if they're charging
the enterprise three times as much as they

516
00:28:39,760 --> 00:28:42,397
should be >> and then
and then they have to pull back

517
00:28:42,480 --> 00:28:44,637
on that that changes
the math of all of this.

518
00:28:44,720 --> 00:28:47,997
>> Who's the they >> like >> they
are the the large language models

519
00:28:48,080 --> 00:28:51,037
which by the way impacts
your partner Nvidia because they

520
00:28:51,120 --> 00:28:55,117
>> sorry I'm talking about the they
the enterprises that power this country as

521
00:28:55,200 --> 00:28:59,277
the most important thing. You're talking
about the they as Frontier Labs and

522
00:28:59,360 --> 00:29:03,117
Silicon Valley. That's great.
I'm focused on the enterprises of this

523
00:29:03,200 --> 00:29:07,037
country. hyperscalers following this I
well you know I it it it depends what

524
00:29:07,120 --> 00:29:10,157
they're selling that's very very
downstream from us we're completely

525
00:29:10,240 --> 00:29:12,557
agnostic we prefer a world where there

526
00:29:12,640 --> 00:29:15,037
are more hyperscalers where there's all

527
00:29:15,120 --> 00:29:19,757
sorts of new hyperscalers Elon Nvidia we
like that world why do we like the world

528
00:29:19,840 --> 00:29:23,357
the same reason when you go online and
there's you know there's 50 times kinds

529
00:29:23,440 --> 00:29:27,277
of coach you get to pick the one you
like but what is happening among the

530
00:29:27,360 --> 00:29:29,757
most technical players is they're saying

531
00:29:29,840 --> 00:29:32,717
I want something I own this is my

532
00:29:32,800 --> 00:29:37,277
business. I want to own the GPUs. I want
to own my data. I want to own the model.

533
00:29:37,360 --> 00:29:40,717
I want to control the alpha.
>> So, is that creating more more

534
00:29:40,800 --> 00:29:43,997
opportunity for Palunteer? Are you
already seeing the government cancel

535
00:29:44,080 --> 00:29:46,237
contracts with Anthropic and Open
AI and saying we want to work?

536
00:29:46,320 --> 00:29:48,957
>> I'm not here. I'm literally not here to

537
00:29:49,040 --> 00:29:53,277
talk about what's going to happen to a
very important business in the country

538
00:29:53,360 --> 00:29:55,357
except for obviously to some extent

539
00:29:55,440 --> 00:29:58,397
mine. In my business, we have much more

540
00:29:58,480 --> 00:30:01,117
demand than we can supply. That's like

541
00:30:01,200 --> 00:30:05,757
and and by the way, it may be somewhat
maybe I may be the crazy person that

542
00:30:05,840 --> 00:30:10,077
still only cares about free cash flow,
but we have more business than we can

543
00:30:10,160 --> 00:30:12,397
apply and we have look if you just look

544
00:30:12,480 --> 00:30:16,157
at our financials you can see like a uh

545
00:30:16,240 --> 00:30:20,077
two years out you can see 15 18
billion in free cash flow. So, are you

546
00:30:20,160 --> 00:30:22,717
frustrated by the stock's
performance over the last

547
00:30:22,800 --> 00:30:26,797
>> You know what? I've been at this for 20
years. We've been at this talking this

548
00:30:26,880 --> 00:30:30,397
when we first started talking, people
are like, "Is this a services company?

549
00:30:30,480 --> 00:30:33,277
Is it worthless?" >> Yeah.
The the the markets are

550
00:30:33,360 --> 00:30:36,157
short-term, very fickle, and also quite

551
00:30:36,240 --> 00:30:39,357
frankly where I would throw some shade,

552
00:30:39,440 --> 00:30:41,917
what investors actually understand tech.

553
00:30:42,000 --> 00:30:45,917
>> They think because they're very high IQ
and they understand certain things, they

554
00:30:46,000 --> 00:30:49,597
understand what they're using. Basically
the fault of investors is typically I

555
00:30:49,680 --> 00:30:51,517
use it therefore it's valuable. Yeah.

556
00:30:51,600 --> 00:30:55,037
What an enterprise uses that's
doing complicated manufacturing or

557
00:30:55,120 --> 00:30:59,197
pharmacological research or putting
a bomb on or bringing special forces

558
00:30:59,280 --> 00:31:01,837
people home safely very
different than what you're using.

559
00:31:01,920 --> 00:31:04,397
>> Do you think if you if you're
a pharmaceutical company or you're the

560
00:31:04,480 --> 00:31:06,397
government should you not be therefore

561
00:31:06,480 --> 00:31:10,557
using anthropic or an open AI without

562
00:31:10,640 --> 00:31:14,237
your layer on top? I mean is that is would
you say that's dangerous for them?

563
00:31:14,320 --> 00:31:18,157
Yeah, you you look first of all
honestly the one thing that I am slightly

564
00:31:18,240 --> 00:31:20,317
frustrated about these these when when

565
00:31:20,400 --> 00:31:24,157
when open AI or anthropic especially are

566
00:31:24,240 --> 00:31:28,077
talking about critical infrastructure
it only is being used in our product my

567
00:31:28,160 --> 00:31:30,317
product and there's a reason for that

568
00:31:30,400 --> 00:31:33,517
these things are very very valuable what

569
00:31:33,600 --> 00:31:36,317
what what they have done it building

570
00:31:36,400 --> 00:31:39,117
models is world historic and just so you

571
00:31:39,200 --> 00:31:41,197
see I'm not throwing shade Dario is a

572
00:31:41,280 --> 00:31:44,397
literally historic figure and He he came

573
00:31:44,480 --> 00:31:47,117
from behind and he's now number one.

574
00:31:47,200 --> 00:31:50,157
Almost no one in the I I've been
in business whatever you want to call I do

575
00:31:50,240 --> 00:31:53,997
for a long time. Never seen anything
like this. Okay. So the reality is

576
00:31:54,080 --> 00:31:57,597
critical infrastructure does not run
these models without an application

577
00:31:57,680 --> 00:32:01,837
layer. In almost all cases and maybe
it won't be all cases someday that

578
00:32:01,920 --> 00:32:05,357
application layers are ontology. That's
a fact. And there's a reason for it.

579
00:32:05,440 --> 00:32:08,637
It's not that as you know some people
love me some people hate me. They're not

580
00:32:08,720 --> 00:32:11,437
buying they're not buying it because
of that. they're buying because these

581
00:32:11,520 --> 00:32:15,757
things have to be made safe. And the I
I'm going to trust you. You should trust

582
00:32:15,840 --> 00:32:18,397
me because I've never lied BS thing that

583
00:32:18,480 --> 00:32:21,117
just doesn't cut it at this level. And

584
00:32:21,200 --> 00:32:24,157
and enterprises are run by the shrewdest

585
00:32:24,240 --> 00:32:28,717
American enterprises are run by the
shrewdest, most widely intelligent

586
00:32:28,800 --> 00:32:32,637
people on the planet. If you think
they're going for that, you can go try

587
00:32:32,720 --> 00:32:36,797
to sell me like my my parents still want
me to get a job as a faculty member at

588
00:32:36,880 --> 00:32:40,397
Berkeley. Go try to get me a job
at Berkeley. I'm very qualified. It's not

589
00:32:40,480 --> 00:32:44,077
happening. >> Do you agree
with the notion of the most

590
00:32:44,160 --> 00:32:46,877
robust powerful AI models should be

591
00:32:46,960 --> 00:32:51,277
withheld from the public due to cyber
security risks? Look, philanthropic open

592
00:32:51,360 --> 00:32:54,557
you really have to make the one of one
of the things we're really trying to get

593
00:32:54,640 --> 00:32:58,717
the west to do is move away from like
not liken. These are very technical.

594
00:32:58,800 --> 00:33:01,757
What does the model do? Who
is restricted to do? I would say it is a

595
00:33:01,840 --> 00:33:05,917
loser to restrict something from the
government because you don't agree with

596
00:33:06,000 --> 00:33:09,677
how the government fights war and then
open it up to the world including our

597
00:33:09,760 --> 00:33:13,597
adversaries. Go sell that to the American
people where they already don't like you.

598
00:33:13,680 --> 00:33:15,197
>> You have a lot
of data that you look at.

599
00:33:15,280 --> 00:33:18,637
Do you think China is getting
better at AI? How is the gap?

600
00:33:18,720 --> 00:33:22,237
>> There are two there are two relevant
tech centers on two and a half. America,

601
00:33:22,320 --> 00:33:27,517
China, Israel. Those are the tech
centers of the world. And we like I

602
00:33:27,600 --> 00:33:30,557
spent half my life in Europe. I want
Europe to be relevant. the re and and

603
00:33:30,640 --> 00:33:34,477
Sweden has a real tech scene. There's
you have to be can't just like you know

604
00:33:34,560 --> 00:33:37,517
but the relevant tech centers uh we are

605
00:33:37,600 --> 00:33:39,997
we have a peer-to-peer adversary in

606
00:33:40,080 --> 00:33:42,557
China. China has lots of advantages

607
00:33:42,640 --> 00:33:45,037
including quite frankly we have to find

608
00:33:45,120 --> 00:33:49,597
ways to make these models raise the
standard of living for every America and

609
00:33:49,680 --> 00:33:53,437
we need a sense Americans need to have
a sense it's not just the people at this

610
00:33:53,520 --> 00:33:56,477
table people watching it getting rich
and there are real issues there and we

611
00:33:56,560 --> 00:33:59,997
have and then we have left and right far

612
00:34:00,080 --> 00:34:03,997
left far right gone completely nuts you
would think that the greatest problem in

613
00:34:04,080 --> 00:34:06,157
the world if you were on the far left is

614
00:34:06,240 --> 00:34:11,277
somehow it's like if things work it's
evil and bad By the way, I've been

615
00:34:11,360 --> 00:34:14,717
wholesale kicked out of my own party
because I warned that this was going to

616
00:34:14,800 --> 00:34:17,197
happen on the left and it is happening.

617
00:34:17,280 --> 00:34:21,597
Then you have on the far right like it's
like on both sides you think the biggest

618
00:34:21,680 --> 00:34:25,837
problem of our society are like warlocks
roaming the street building technology.

619
00:34:25,920 --> 00:34:27,357
They of course they can't understand it.

620
00:34:27,440 --> 00:34:30,317
Like they attack Palentia for the
craziest. China doesn't have that

621
00:34:30,400 --> 00:34:32,957
problem. But it also doesn't have the

622
00:34:33,040 --> 00:34:37,037
creativity, ingenuity and and deep tech

623
00:34:37,120 --> 00:34:40,077
uh uh creativity we have. But the

624
00:34:40,160 --> 00:34:44,397
reality is it's not a foregone
conclusion that we win that we have we

625
00:34:44,480 --> 00:34:48,397
have the biggest problem in this country
on these debates is we debate these

626
00:34:48,480 --> 00:34:50,397
things as if we don't have adversaries.

627
00:34:50,480 --> 00:34:53,117
It's not actually true. It's binary.

628
00:34:53,200 --> 00:34:56,397
They will win or we will win.
>> Let me ask you uh I just want to pivot

629
00:34:56,480 --> 00:35:00,717
to a slightly different conversation
but related. You have been a uh proponent

630
00:35:00,800 --> 00:35:05,117
and great supporter of Israel over the
years. great support of Israel and right

631
00:35:05,200 --> 00:35:07,437
now we have a ceasefire uh in in the

632
00:35:07,520 --> 00:35:10,237
Middle East which we hope holds. Having

633
00:35:10,320 --> 00:35:13,197
said that, there is a bit of space

634
00:35:13,280 --> 00:35:15,837
between where the US is now and where

635
00:35:15,920 --> 00:35:20,237
Netanyahu is on what is happening
here and whether they ultimately be

636
00:35:20,320 --> 00:35:23,437
protected. And I'm curious given that
and given also your relationship with

637
00:35:23,520 --> 00:35:27,037
the US government and the work you
do there, how you think about that

638
00:35:27,120 --> 00:35:30,077
disconnect. the the the the the is like

639
00:35:30,160 --> 00:35:33,677
so many things. I am the most publicly

640
00:35:33,760 --> 00:35:35,757
supportive CEO of Israel and that's

641
00:35:35,840 --> 00:35:39,997
true. Uh I think Israel is a is is on

642
00:35:40,080 --> 00:35:44,077
the side of good now in private because

643
00:35:44,160 --> 00:35:48,637
I have a I'm known there to be fair. I'm
probably also the most effective critic

644
00:35:48,720 --> 00:35:52,077
of like hey I didn't agree with this
without going and I would be very happy

645
00:35:52,160 --> 00:35:56,317
to be more in public about that except
for I think not all. There are many

646
00:35:56,400 --> 00:36:00,157
legitimate criticisms of Israel
and every other country. Although I would

647
00:36:00,240 --> 00:36:04,797
say, do you want a a country that can
sometimes be difficult as your partner

648
00:36:04,880 --> 00:36:08,077
or do you want a country or do you want
partners that have no tech seen as a

649
00:36:08,160 --> 00:36:10,317
partner? And so like it's like in this

650
00:36:10,400 --> 00:36:13,757
world having a a fully adult independent

651
00:36:13,840 --> 00:36:17,517
aligned country that doesn't always
agree with us is much better than what

652
00:36:17,600 --> 00:36:19,837
we somehow have in Europe. Like that's

653
00:36:19,920 --> 00:36:23,357
we do not want that. Yes. Okay. So um

654
00:36:23,440 --> 00:36:25,437
look, America and Israel will always

655
00:36:25,520 --> 00:36:28,077
have will never be fully aligned and

656
00:36:28,160 --> 00:36:32,877
that's totally okay. My position is they
are a very important partner and we are

657
00:36:32,960 --> 00:36:36,717
proud to support them and in private
you can bet your last dollar I call and

658
00:36:36,800 --> 00:36:38,077
complain about a lot of things.

659
00:36:38,160 --> 00:36:42,077
>> So what do you think of thisou
or whatever deal you think is uh is on

660
00:36:42,160 --> 00:36:45,917
offer and and whatever the deal that is do
you think that we are now in a better

661
00:36:46,000 --> 00:36:47,997
place than we were before?
You mean in Iran?

662
00:36:48,080 --> 00:36:50,957
>> In Iran and and and visav also what you

663
00:36:51,040 --> 00:36:55,037
think it means for Israel. >> Well,
look is I I don't Israel I'm going

664
00:36:55,120 --> 00:37:00,317
to leave the I'm going to leave the
Israeli thing for my talking to them in

665
00:37:00,400 --> 00:37:03,597
private because I just don't think
at this point it's very hard in public to

666
00:37:03,680 --> 00:37:06,717
talk about them because you just
have people look they're legitimate

667
00:37:06,800 --> 00:37:09,997
criticisms of Israel. Half the people
criticizing Israel just don't believe it

668
00:37:10,080 --> 00:37:14,157
should exist and that's just a fact. And
so like I'm not gonna like totally play

669
00:37:14,240 --> 00:37:16,157
into their hands by saying things I say

670
00:37:16,240 --> 00:37:18,957
in private. In America, America has to

671
00:37:19,040 --> 00:37:23,597
rep his own interests. Do I think Iran's
been degraded? Yes. Are are there things

672
00:37:23,680 --> 00:37:26,397
that I don't think are in the public
space that would be comforting to people

673
00:37:26,480 --> 00:37:30,397
if they are? Yes.
And I'll leave it at that.

674
00:37:30,480 --> 00:37:33,997
>> Wow. Pretty great. >> Thank you.

675
00:37:34,080 --> 00:37:36,877
>> Thank you. >> Thank you.
Have to get up from the seat.

676
00:37:36,960 --> 00:37:38,957
Yeah. >> You know,
I I I just like I feel like

677
00:37:39,040 --> 00:37:40,397
I'm going to be kicked out of the room.

678
00:37:40,480 --> 00:37:43,357
No, >> never wide ranging conversation.
We really appreciate your time.

679
00:37:43,440 --> 00:37:46,397
>> No, not like your party. We want you
to We want you to stay. Can you come back

680
00:37:46,480 --> 00:37:49,677
tomorrow? >> Yeah. No, I'll come back.
I I really do appreciate you guys.

681
00:37:49,760 --> 00:37:52,157
>> Talk to it. >> Yeah.
You know, the thing I actually

682
00:37:52,240 --> 00:37:56,797
like about you guys the most and I watch
you is just that you actually, and it's

683
00:37:56,880 --> 00:38:01,277
very hard to pull this off, you actually
have divergent opinions and somehow you

684
00:38:01,360 --> 00:38:03,357
guys stay together. >> This is true.

685
00:38:03,440 --> 00:38:07,037
>> We're still on camera. >> Oh,
yeah. Well, great. That's true. you

686
00:38:07,120 --> 00:38:09,997
actually like it's it's honestly it's so

687
00:38:10,080 --> 00:38:14,717
boring the other stuff like and and again
I get kicked out of these rooms I

688
00:38:14,800 --> 00:38:17,837
even if even if I agreed with you I
would try to disagree with you it's more

689
00:38:17,920 --> 00:38:22,237
fun >> there's sea thank
you for bringing Alex

690
00:38:22,320 --> 00:38:25,037
here this morning thank you for your
perspective on this Alex thank you we

691
00:38:25,120 --> 00:38:29,037
appreciate it very very much thanks >>
people live in echo chambers we've been

692
00:38:29,120 --> 00:38:33,117
so offended both >> what do you like

693
00:38:33,200 --> 00:38:36,797
>> it's so crazy and I'll tell
you uh we're off camera now.

694
00:38:36,880 --> 00:38:41,037
>> No, we're still going.
>> Let me get off camera.

695
00:38:41,120 --> 00:38:44,877
>> Coming up, >> you're like
a mini problem solvers uh caucus.

696
00:38:44,960 --> 00:38:49,037
>> Close friends and daughters of frequent
squat guests, Congressman Josh Godheimer

697
00:38:49,120 --> 00:38:51,357
and DHS Secretary Mark Wayne Mullen have

698
00:38:51,440 --> 00:38:58,040
written a children's book about
bipartisanship. They'll join us next.

699
00:39:00,640 --> 00:39:04,637
You're listening to Squawk
Pod >> and Becky Q.

700
00:39:04,720 --> 00:39:08,717
>> Welcome back everybody. Our next guests
are close friends. Their parents come

701
00:39:08,800 --> 00:39:12,797
from different sides of the aisle. Their
bond has actually inspired them to write

702
00:39:12,880 --> 00:39:14,957
a new children's book on bipartisanship

703
00:39:15,040 --> 00:39:17,677
in Washington DC. Joining us right now

704
00:39:17,760 --> 00:39:20,237
is Larara Mullen and Ellie Gottheimr.

705
00:39:20,320 --> 00:39:24,957
They are the co-authors of Schmo
and Azie go to Washington. Larara's father

706
00:39:25,040 --> 00:39:27,197
is former Republican Senator of Oklahoma

707
00:39:27,280 --> 00:39:30,317
and now DHS Secretary Mark Wayne Mullen.

708
00:39:30,400 --> 00:39:34,637
Ellie's father is Congressman Josh
Godheimer, a Democrat from New Jersey.

709
00:39:34,720 --> 00:39:38,077
And obviously both of those gentlemen
are are frequent guests right here on

710
00:39:38,160 --> 00:39:41,117
Squawkbox. Uh Larry and Ella, I I want

711
00:39:41,200 --> 00:39:45,597
to thank you both for being here today
and for for coming on to talk about

712
00:39:45,680 --> 00:39:49,277
this. This is no joke.
You guys are actually close friends.

713
00:39:49,360 --> 00:39:51,997
>> Yes, very close. We work out together.

714
00:39:52,080 --> 00:39:54,797
Yes, [laughter] that is. >> And how
long have you two known each other?

715
00:39:54,880 --> 00:39:58,317
>> We kind of grew up together. Just our
dads have always been friends. And like

716
00:39:58,400 --> 00:40:02,797
Larara was saying, we are forced against
our well to go to a bipartisan workout

717
00:40:02,880 --> 00:40:06,237
group most mornings when we're
in Washington DC. So we've kind of trauma

718
00:40:06,320 --> 00:40:07,677
bonded over that a little bit.

719
00:40:07,760 --> 00:40:11,437
>> Yeah. So these forced workouts that t
took along the way. You all have this

720
00:40:11,520 --> 00:40:14,957
new book. It's called Shoo and Aussie go
to Washington. And this is based on your

721
00:40:15,040 --> 00:40:19,117
two dogs. Yes. >> Going
to Washington and seeing what it's

722
00:40:19,200 --> 00:40:22,877
like in Washington DC. What was it like
kind of growing up in Washington DC and

723
00:40:22,960 --> 00:40:24,797
going there?
>> It was definitely very different than

724
00:40:24,880 --> 00:40:26,797
when you'd say the normal childhood.

725
00:40:26,880 --> 00:40:31,037
couple times I felt like Hannah Montana
just [laughter] like living like I'd go

726
00:40:31,120 --> 00:40:33,837
from school and then right after school
we'd fly up to Washington. I'd be in all

727
00:40:33,920 --> 00:40:37,997
these amazing meetings and stuff like
that. And so it definitely I got a lot

728
00:40:38,080 --> 00:40:43,117
of cool experiences >> and and
and you too um again your dad's

729
00:40:43,200 --> 00:40:46,157
come from different sides of the aisle
but they have formed a pretty close

730
00:40:46,240 --> 00:40:50,317
partnership and bond too. What did that
kind of teach you as you were growing up

731
00:40:50,400 --> 00:40:53,757
Ellie? Yeah, I mean I think it's so
amazing that our dads are able to work

732
00:40:53,840 --> 00:40:58,957
together and it really inspired Lar and
us Lar and I to write this book and you

733
00:40:59,040 --> 00:41:02,157
know the idea that even though they're
from two completely different sides of

734
00:41:02,240 --> 00:41:05,757
the aisle, they're able to be such close
friends and work together and they even

735
00:41:05,840 --> 00:41:09,997
can find common ground to agree on and
that's kind of what inspired us to be

736
00:41:10,080 --> 00:41:13,677
able to write this book and hopefully
educate and have children learn that,

737
00:41:13,760 --> 00:41:16,317
you know, even if they're different from
one another, they're still able to work

738
00:41:16,400 --> 00:41:20,477
together. before sec secretary Mullen
before your dad was in before he was

739
00:41:20,560 --> 00:41:22,317
secretary of senate but before that he

740
00:41:22,400 --> 00:41:25,197
was in the house a lot for for years I

741
00:41:25,280 --> 00:41:29,357
how many terms yeah so that's when
>> yes that's when they first started

742
00:41:29,440 --> 00:41:32,797
working together >> I got
it so the Oklahoma New Jersey

743
00:41:32,880 --> 00:41:36,557
thing that didn't >> I got some
questions about just growing

744
00:41:36,640 --> 00:41:38,957
up with the spotlight on your parents

745
00:41:39,040 --> 00:41:43,597
and then maybe a little on you in a way
and like how did that feel all of the

746
00:41:43,680 --> 00:41:48,157
time and whether you ever had friends
at school who said, "I can't believe your

747
00:41:48,240 --> 00:41:53,437
dad's doing this or they're doing that
or what's happening." And I did you guys

748
00:41:53,520 --> 00:41:56,557
did you feel that or was it or are you
always sort of kept separate from that?

749
00:41:56,640 --> 00:42:00,797
>> I really do a good job of keeping
politics out of my relationships. And so

750
00:42:00,880 --> 00:42:02,797
with my friends, I never talk politics.

751
00:42:02,880 --> 00:42:06,557
I never talk like they obviously know
who my dad is and I'm sure some of them

752
00:42:06,640 --> 00:42:10,557
don't completely like agree with
everything. And so I really try my

753
00:42:10,640 --> 00:42:14,477
hardest to keep politics out of pretty
much everything just to keep my

754
00:42:14,560 --> 00:42:17,197
relationships Maybe that's
what we all have to do.

755
00:42:17,280 --> 00:42:20,397
>> That's Yeah, exactly. And that's why
it's been so nice getting to know Lara

756
00:42:20,480 --> 00:42:24,317
because, you know, we both kind of have
had very similar experiences growing up

757
00:42:24,400 --> 00:42:27,277
and we're even though, you know,
our dads are so different from each other,

758
00:42:27,360 --> 00:42:31,437
we're able to talk together. But yeah,
it's definitely been a crazy experience

759
00:42:31,520 --> 00:42:35,517
growing up, but one that I'm so grateful
for. I've had friends say, you know, my

760
00:42:35,600 --> 00:42:39,917
parents didn't vote for your dad. And I'll
just be like, okay, that's fine. We

761
00:42:40,000 --> 00:42:43,597
can just talk about something else.
So yeah, that's something Lar like a mini

762
00:42:43,680 --> 00:42:48,317
problem solvers uh caucus. Was uh
was your dad in problem solvers? That was

763
00:42:48,400 --> 00:42:50,477
was that around when he was in the house?

764
00:42:50,560 --> 00:42:54,317
>> Oh yeah. >> And he was with Josh
along with that group. Okay.

765
00:42:54,400 --> 00:42:57,757
>> Do you guys ever get frustrated because
sometimes it feels like in Washington

766
00:42:57,840 --> 00:43:01,117
not a lot gets done on a bipartisan basis.

767
00:43:01,200 --> 00:43:02,557
What What do you all see? What do you

768
00:43:02,640 --> 00:43:05,757
think about that? I see a lot of I see

769
00:43:05,840 --> 00:43:10,557
getting a really bad rep in Washington
and I just see a bunch of like oh

770
00:43:10,640 --> 00:43:15,197
they're different you can't be friends
basically and that's really about

771
00:43:15,280 --> 00:43:17,197
>> yeah I think that Lar
and I both kind of

772
00:43:17,280 --> 00:43:21,757
saw you know we see the actual work that
gets done behind the scenes but a lot of

773
00:43:21,840 --> 00:43:23,837
kids our age don't actually see that.

774
00:43:23,920 --> 00:43:26,477
So, I think what we were trying to do
with this book is that before kids

775
00:43:26,560 --> 00:43:30,637
really get to social media and before
they see all this fighting um that's

776
00:43:30,720 --> 00:43:33,597
orchestrated on social media, we wanted
to be able to tell them, you know,

777
00:43:33,680 --> 00:43:36,397
things actually do happen. People
actually work together who are different

778
00:43:36,480 --> 00:43:39,677
from each other and it's not impossible
and it's something that should happen.

779
00:43:39,760 --> 00:43:41,517
And, you know, that's
what's amazing about us being

780
00:43:41,600 --> 00:43:45,437
>> we wanted to show them the side that we
see considering we we grew up there

781
00:43:45,520 --> 00:43:49,277
pretty much. >> And the proceeds
go to help homeless families.

782
00:43:49,360 --> 00:43:54,237
>> Project Night. Yes. >> Gives
boxes, night boxes to kids under

783
00:43:54,320 --> 00:43:57,597
the age of 12 that are homeless.
It gives us a cured blanket, a stuffed

784
00:43:57,680 --> 00:43:59,757
animal, and a book, a children's book.

785
00:43:59,840 --> 00:44:01,437
And so, >> we thought it
was really important to be

786
00:44:01,520 --> 00:44:05,197
able to help kids that um weren't
as fortunate as we were growing up. And

787
00:44:05,280 --> 00:44:09,037
also hopefully provide some media
and like literacy education as well.

788
00:44:09,120 --> 00:44:10,957
>> All right. Well,
Ellie and Lara, I would

789
00:44:11,040 --> 00:44:14,477
just want to say we welcome you here.
We appreciate what you all are doing and

790
00:44:14,560 --> 00:44:17,357
the message that you're getting out and
thank you for taking the time to be with

791
00:44:17,440 --> 00:44:21,320
us. >> Thank you so much.

792
00:44:21,440 --> 00:44:23,917
And that is Squawk Pod for today. Thank

793
00:44:24,000 --> 00:44:26,397
you for listening. Squawkbox is hosted

794
00:44:26,480 --> 00:44:28,797
by Joe Kernan, Becky Quick, and Andrew

795
00:44:28,880 --> 00:44:31,117
Ross Sorcin. Tune in weekday mornings on

796
00:44:31,200 --> 00:44:33,597
CNBC at 6 Eastern or get the best of our

797
00:44:33,680 --> 00:44:38,317
TV show in an easy to listen to podcast
when you follow Squawk Pod. Hit that

798
00:44:38,400 --> 00:44:42,157
follow button wherever you're listening
now and [music] check us out anytime you

799
00:44:42,240 --> 00:44:45,197
want. We'll meet you
right back here tomorrow.

800
00:44:45,280 --> 00:44:51,960
>> Now we are clear. Thanks,
guys. Thank you guys so much.
