Latest / International Flavor: Where the Truth Tastes Better / Palantir, Patriots, and the New War Machine

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Palantir, Patriots, and the New War Machine · International Flavor: Where the Truth Tastes Better

0:00
Hello, good morning, welcome.
0:03
I am Samuel Trapp.
0:05
This is International Flavor.
0:07
You are listening to DAM Radio, coming to
0:11
you live from the Lake Ozark real estate
0:14
of the Art Studio.
0:18
Feel free to call in.
0:20
Most of the time I ignore, but sometimes
0:23
I actually pick up.
0:24
573-746-8020 is that number.
0:29
If you wish to send emails and chastise,
0:32
interrogate, criticize, anything you'd like to do, or
0:37
say that I'm just a wonderful human being,
0:40
you can do that at SamuelT at internationalflavor
0:46
.com.
0:47
And if you wish to tell the world,
0:49
you can do it by sending it to
0:51
live at damradio.com.
0:56
Where are we?
0:58
Well, we're back at war again, but you
1:00
had to stop it so you could restart.
1:03
If you restart, it starts the time frame
1:07
again, and you don't need Congress to approve
1:09
any sort of war, right?
1:11
You can just be at eternal war without
1:13
approving anything.
1:14
And I wonder why they're so critical about
1:16
Trumpster doing it when they never gave a
1:18
crap if anybody else is at war.
1:20
I mean, we're always at war with somebody.
1:22
We always got something exciting going.
1:24
But I gotta tell you, I'm thinking the
1:26
old Trumpster's looking tired these days.
1:28
I really do.
1:30
I also think he's much shorter in the,
1:34
his temperament appears to have changed.
1:37
And he's, I don't know what, he's quite
1:43
a bit more grumpy.
1:46
And he should still be in Ankara.
1:51
Let's talk about Trump and his threats.
1:55
I was watching a little bit of it.
1:57
It was pretty funny.
1:58
There he is threatening Greenland again.
2:00
Greenland's mine.
2:02
Greenland's mine.
2:03
I'm taking it.
2:04
You jerkies don't need it.
2:07
I don't know what you're thinking of.
2:09
Why in the world do you have Greenland
2:11
anyway?
2:12
I love history.
2:14
It means nothing.
2:16
There but for the grace of God, we'd
2:19
had that a couple hundred years ago.
2:22
And why are we worried?
2:23
Why are we bothering?
2:25
You guys, how was he putting it?
2:29
He was saying that we don't like, we
2:34
don't like Europe anymore.
2:36
And we don't like NATO, not because they
2:38
didn't help in Iran, not because the Straits
2:42
of Hormuz, but really he's back to Greenland.
2:47
Where's my Greenland?
2:48
I went, you know, he shut up about
2:50
Greenland for a while.
2:51
Nobody's listening to me about Greenland.
2:53
Greenland's mine.
2:56
Greenland's mine.
2:58
And I'm taking it.
3:00
Anyway, I have emphasis, I'll be dead before
3:05
long, but there you go.
3:08
As I, as I choke here, the Israelis
3:11
are all up in arms because he's paying
3:14
too much attention and being too kind to
3:16
Erdogan.
3:17
And Erdogan wants to be the new Ottoman
3:21
Empire.
3:22
And you know, he's actually got a shot
3:24
at that.
3:25
But let's get into it.
3:27
U.S. President Trump arrived in Ankara, kicked
3:31
the meeting off with a show of friendship
3:33
for old recep Tayyip Erdogan and threats of
3:38
U.S. military withdrawal for the European members.
3:42
We got, we're leaving.
3:43
So you guys, I don't know if he
3:46
quoted it.
3:47
He should have quoted the yesterday thing that
3:49
was on TV that said 57% of
3:53
Americans say it's all, it's all, we don't
3:55
need to be there.
3:56
Trump touched down in Turkey on Tuesday, time
3:59
of, you know, not the greatest relationships between
4:04
Washington and the Europeans.
4:09
Trump has been pushing NATO to hike defense
4:13
spending, 5% of their own GDP, a
4:16
figure agreed upon at last year's summit, but
4:20
one that is difficult for them to meet
4:23
because their economies are crap in Europe and
4:27
they're, they're just declining.
4:28
So the U.S. told the reporters that
4:31
he is very disappointed with NATO for not
4:35
meeting the target for back and down on
4:39
the U.S. Israeli war in Iran and
4:41
suggested that he could announce further drawdowns U
4:45
.S. forces.
4:46
But, you know, most of the commentators are
4:50
tending to ignore the, the comments on, on
4:59
Greenland, instead focusing on, on NATO and Ukraine
5:03
and the Green Goblin and stuff like that.
5:07
Trump said he only decided to travel to
5:10
the summit out of respect for Erdogan.
5:14
He wasn't going to come, but he only
5:16
came because he liked Erdogan who he's hailed
5:19
as a very strong leader.
5:21
Well, that's true.
5:21
Despite Erdogan's condemnation of the war in Iran
5:24
and the growing tensions between Turkey and Israel,
5:27
Trump announced he would lift sanctions on Ankara
5:29
over Erdogan's purchase of Russian S-400 air
5:33
defense systems and would consider reversing his ban
5:36
on selling F-35 fighter jets to Turkey,
5:40
a move that would anger Israel.
5:41
Now, what does Israel give a crap?
5:44
If Turkey has U.S. fighter jets, they
5:47
get to buy fighter jets and stuff from
5:50
America.
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What do they care?
5:53
What difference does it make?
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We should be able to sell to whoever
5:56
we want and without worrying about, I mean,
6:00
hell, if we wanted to sell them to
6:01
Iran, we ought to be able to.
6:04
You know, what do they care?
6:06
You know, Israel, I want to be the
6:10
same to everybody.
6:12
Why in the world are we treating these
6:13
people as if they're really our allies?
6:16
Okay.
6:16
They're not.
6:17
They, we are their lackeys is the way
6:20
I look at it.
6:22
And that's been evolving for a long time
6:24
in my thought process.
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And so that's not just something I came
6:28
up with over the, you know, over the
6:32
Iranian debacle that's been going on for at
6:36
least the last year and a half.
6:38
Anyway, old VZ, the green goblin Vladimir Zelensky
6:45
went to the summit, of course, to do
6:49
what?
6:49
Ask for more money and more weapons from
6:52
our EU partners.
6:55
This time he wants anti-air systems capable
6:59
of intercepting Russian ballistic missiles.
7:01
Well, there aren't any.
7:04
Nobody has any.
7:06
The day before Russian military launched a combined
7:09
missile and drone assault on Kiev destroyed weapons
7:11
factories and other military infrastructure.
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NATO Secretary General Mark Rutte, who infamously referred
7:18
to Trump as daddy.
7:21
He's daddy.
7:23
Hey, daddy, daddy, come on, daddy.
7:26
Give us, give us a treat.
7:28
To Trump as daddy during last year's meeting
7:31
in The Hague is using the Ankara summit
7:33
as an opportunity to prove his value to
7:37
Trump.
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Yeah, Rutte's got a lot of value.
7:41
He's the one who said that Finland, what
7:43
did he say yesterday?
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Oh, the guy's loopy.
7:46
He is out there.
7:50
Oh, I can't recall it, so I'm not
7:52
going to do it.
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But President Trump fully expects that all allies
7:57
will step up immediately and get on the
8:00
path to five percent and do it with
8:02
urgency, he said on Monday, telling reporters he
8:06
plans to flatter the U.S. president by
8:10
bringing up the Trump trillion, his term for
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the trillion dollars that Canada and NATO members
8:18
have cumulatively spent on their own defense since
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Trump's first term in office began in 2017.
8:29
Isn't that crazy?
8:31
So let's see, I'm going to go back
8:34
and see if there was anything interesting that
8:36
occurred because we had, where's the beginning of
8:41
this?
8:41
I'm going to go as far as I
8:43
can go because this started.
8:48
No?
8:48
Okay, well, that's as far as it goes.
8:50
So when you start at right around four
8:53
o'clock, well, Greenwich Mean Time anyway, live,
9:01
Turkey has been in many ways much more
9:03
loyal than other countries that we think would
9:06
be loyal.
9:07
I think it's been from the very beginning,
9:10
he's talking about Erdogan, this is the old
9:12
Trumpster, a chemistry that works between us.
9:16
Trump shot down Israeli Prime Minister Netanyahu's attempts
9:20
to sour the relations between the U.S.
9:23
and Turkey before the summit began.
9:27
They talk openly about conquering Jerusalem.
9:31
He's talking about Turkey.
9:33
They support Habbas and did not lift a
9:36
finger against Iran, Netanyahu told Fox on Monday.
9:41
But Trump praises U.S. and Turkey ties
9:44
in many ways, much more loyal than other
9:46
countries we thought would be loyal.
9:48
Did Netanyahu's anti-Erdogan pitch fall flat?
9:52
I believe it did.
9:54
I hear some people saying about the relationship
9:57
with, about Turkey's relationship with Israel, said Trump,
10:01
they could have gotten into the fight on
10:03
the other side and they didn't do that.
10:06
They are a nation that has been very,
10:08
very good.
10:09
And Turkey is a beautiful country and well
10:12
worth visit, as I told you yesterday, and
10:14
well worth multiple visits.
10:17
I haven't been to Ankara yet, but Istanbul
10:19
is freaking fantastic.
10:21
Love it.
10:22
And went to, you know, drove around there.
10:23
You know, they got like four or five
10:25
international airports.
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And I forget, I mean, it is an
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enormous city.
10:30
I don't want to give you the wrong
10:32
number.
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So I'm going to look it up.
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Population of Istanbul.
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Get this.
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Istanbul has an estimated population of 15.8
10:47
million as Turkey's largest and most populous city.
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It has 18% of the country's entire
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population and is larger than over 131 different
11:00
countries.
11:02
Let's see.
11:04
And then let's, let's, let's, I think New
11:06
York is, is only about half that size.
11:09
And we're going to find out here in
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New York has been getting smaller.
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The population of New York city is 8
11:19
.58 million while the entire state of New
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York is 20 million.
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Well, 15.8 million in Turkey and, you
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know, it, well in Istanbul, I mean, and
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I don't know how many in the country,
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but it says 18%.
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So 20% times that by five, then
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you have 75 million in the whole, in
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the whole half the size of the U
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S but New York is half the size
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of Istanbul.
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And Istanbul is a beautiful, awesome city.
12:00
And you can wander around in there.
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They're great little places.
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Anyway, it doesn't matter.
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We don't need to, we don't need to
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go through that.
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We've already been there.
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Let's see.
12:10
Where do we go?
12:13
What was next that happened?
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Then he went to the office in the,
12:17
in, in, in, in about a couple hours
12:20
later, Netanyahu privately lobbied Trump against supplying Turkey
12:27
with these F-35s.
12:28
And in a phone call on Friday, the
12:30
Israeli prime minister asked Trump to reign in
12:34
the Turkish leader and force him to go
12:38
a little easy on the topic of the
12:41
jets.
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This is according to Axios.
12:44
And they said that this is according to
12:46
a U S and Israeli officials, but Trump
12:49
apparently did not heed this call, told reporters
12:54
that we will consider supplying war planes to
12:57
Turkey and speaking alongside Erdogan.
13:02
Trump, Erdogan claimed that Trump had promised him
13:07
five jets.
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President Trump has always been a man of
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his word.
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And hopefully with respect to the F-35,
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we will have a fruitful outcome and decision
13:17
from this leaders summit.
13:19
Let's see if I can play it for
13:21
you.
13:21
Hold on.
13:23
See what comes out here could be entertaining
13:27
or not.
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Well, it's a decision we're going to make.
13:36
Uh, we have a very good relationship.
13:38
I, I would think that many people, I
13:41
can tell you many people, including the people
13:43
sitting right here thinks, you know, why wouldn't
13:46
we do that?
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We have a better relationship with Turkey and
13:50
Turkey has been in many ways, much more
13:51
loyal than other countries that we think would
13:53
be loyal.
13:55
So yeah, it's something certainly we would consider.
13:58
It's a great plane.
13:59
It's the best currently the best plane by
14:02
far.
14:03
And, uh, it's certainly something we will consider.
14:07
Yeah.
14:08
Well, I believe that is a punch in
14:11
the face to the old Benjamin Netanyahu, right?
14:14
Says we will consider that is the word.
14:18
And then his tone got a little bit
14:21
more shifty when he started talking about Europeans.
14:25
They better be careful.
14:26
He said, because we might remove all of
14:29
our soldiers from Europe, Greenland and Denmark's refusal
14:33
to sell territory to the U S is
14:36
still a sore point for Donald Trump.
14:38
It's what hurt my relationship with NATO.
14:40
He said, because Greenland doesn't help Denmark.
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I can't help, but laugh at this.
14:48
I mean, so, okay.
14:50
That's it's their land.
14:52
They get to do with it.
14:53
What'd you think?
14:54
Uh, you know, let's, uh, let's say, uh,
14:57
you know, my friend's got, uh, in fact,
14:59
I know this guy, my friend has like
15:01
15 cars.
15:02
Are they doing him any good?
15:04
Oh my God.
15:05
I want them.
15:06
You therefore he should give them to me,
15:09
right?
15:11
What you just take somebody else's property.
15:14
Well, they're not doing anything with it.
15:16
That's mine.
15:17
Then you give it up.
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That's it.
15:19
That's a great way of thinking, you know,
15:21
didn't, didn't, uh, you know, Greenland doesn't help
15:24
Denmark.
15:25
Denmark doesn't spend money to help Greenland, but
15:28
it's an important part for the United States.
15:31
Greenland should be controlled by the United States.
15:34
That's what he said.
15:36
Isn't that funny?
15:38
Oh, as, as Trump and air to gun,
15:42
we're holding their private talks, uh, up comes
15:46
Keir Starmer, right?
15:48
Keir Starmer flies in and he's leaving soon.
15:52
And he, and, and air to gun, you
15:54
know, met the old Trumpster and a red
15:57
carpet, the whole thing, right?
15:58
Keir Starmer touches down for his last NATO
16:01
summit accompanied by foreign secretary Yvette Cooper.
16:05
And there's no red carpet, no honor guard,
16:08
no motorcade escort.
16:11
He had to settle for a handshake with
16:14
the mayor of Ankara, Mansoor Yavis.
16:18
That is all how depressing for him, right?
16:21
And then on the sidelines, now nothing direct,
16:25
no keynote.
16:26
Zelensky, the green goblin was extracting whatever pledges
16:29
of weapons and what, and, and money he
16:32
can from his European partners.
16:35
The Ukrainian leader announced a $900 million arms
16:40
package from Canada and drone production deals with
16:43
Estonia, Finland, and the Netherlands.
16:46
But the real prize is the Patriot air
16:49
defense system with existing missile stocks burned up
16:52
by Ukraine and the U S golf partners
16:55
during the war with Iran.
16:57
Zelensky demanded more Patriots and called in his
17:01
backers to support our efforts to make this
17:04
happen.
17:06
So let's listen, let's listen in because he
17:09
was all by his lonesome and who knows,
17:13
who knows, maybe he, maybe he's the new
17:16
Churchill.
17:18
I don't know.
17:18
Let's listen.
17:19
And I believe Europe urgently needs its own
17:22
capability to produce anti-ballistic systems and the
17:26
missiles they require.
17:28
We all value the Patriot system.
17:31
It's an excellent, an excellent system.
17:35
And there are others as well, but today's
17:37
wars have shown that current Patriot production is
17:41
not enough to meet the growing demand for
17:44
protection against ballistic missiles.
17:47
That is a fact.
17:48
And we must respond to that fact.
17:52
Those who defend life need more Patriots.
17:57
We have also discussed Patriot production licenses with
18:00
our American partners, and I ask you to
18:03
support our efforts to make this happen.
18:07
He wants to produce his own Patriots inside
18:10
of Ukraine.
18:12
There's a good idea.
18:15
Yeah.
18:15
I think people were promising him stuff way
18:18
back when, you know, the, the Victoria Newlands
18:21
of the planet and maybe even certain senators,
18:26
certain senators from South Carolina or was it
18:31
North Carolina, wherever the hell that guy's from.
18:34
Let's see what, what happened next?
18:37
Zelensky was taking the opportunity to pitch Ukraine,
18:41
totally dependent on foreign aid.
18:44
They have no money, no production, no GDP,
18:49
forcibly conscripted military people that they just send
18:53
off to the front line.
18:54
There was a funny video yesterday.
18:56
It's really not funny.
18:57
It's actually quite sad, but there's a video
19:00
on telegram that they were sending around of
19:03
a Ukrainian guy who didn't want to be
19:05
there and was laying on the ground going,
19:08
I don't want to be here.
19:12
And his sergeants are trying to get out.
19:15
I don't want to be here.
19:16
I don't want to fight.
19:18
It's like it was a terrible video, but
19:22
very sad, actually.
19:25
Do you want to be standing in war
19:27
next to that guy?
19:28
I mean, in all seriousness, do you?
19:30
I remember way back when, when if you,
19:33
we always have to, I imagine, I think
19:36
that's still the rule, but who knows?
19:37
I don't really pay attention.
19:39
Selective service, you still got to register, you
19:42
know, what a way to track all the
19:43
men in the country.
19:44
You still got to register for selective service.
19:47
And, but if you're a conscientious objector, there
19:53
were some kind of limitations way back then.
19:55
You know, you could be a conscientious objector
19:57
and during Vietnam, you could run off to
20:00
Canada or do whatever you were going to
20:02
do.
20:02
Or if your dad was a Senator or
20:05
running for office, you didn't have to, you
20:07
know, there are exceptions for those types of
20:09
people, right?
20:10
But frankly, I always thought, why in the
20:14
world would you want these assholes?
20:16
You wouldn't want them standing next to you
20:18
in a foxhole anyway.
20:19
They're not going to defend themselves.
20:21
What makes you think they're going to defend
20:23
you?
20:23
They're just going to lay there and die.
20:27
Terrible, terrible stuff.
20:29
And, and very sad, actually, because, you know,
20:33
forcing people to fight, you know, oh, well,
20:35
you'll fight when it's time to die.
20:37
Well, maybe you'll put up a little resistance
20:39
at the end, but you've lost already if
20:42
you go in with that kind of an
20:43
attitude.
20:44
So, you know, terrible, terrible.
20:49
It would make us all stronger, says Zelensky.
20:54
It would be only natural to become part
20:58
of one common security community.
21:01
He's trying to join NATO.
21:03
Unlike previous summits, few analysts or observers are
21:07
expecting commitment from the bloc to Kiev beyond
21:11
its current position that Ukraine will become a
21:15
member of NATO at an unspecified point sometime
21:18
in the distant future.
21:22
So, unlike, what do you call it?
21:31
Unlike the EU.
21:33
Now, they can be members of the EU,
21:35
but Russia will never allow, you know, Putin
21:37
said that, but they will, they consider it
21:42
a red line for Ukraine joining NATO.
21:45
Okay, what else did Trump do?
21:47
We have another small video.
21:49
Let's see.
21:49
Ursula von der Leyen.
21:51
We have to talk to her, of course.
21:53
European Commissioner, President, Commission President, I'm sorry, Ursula.
21:59
What does, there's a guy, watch, Alex Cristoforo.
22:04
He, I love listening to him, mostly because
22:07
he's got, he's where I stole the Green
22:08
Goblin from.
22:09
You know, he called it, and I think
22:10
other people call him that anyway, but he's
22:13
the one where I first heard the word
22:15
Green Goblin.
22:16
And he calls, so Annalena Verbach is Annalena
22:21
360 degrees Verbach, because if you're turning around,
22:26
you're doing a 360.
22:28
No, that's not, if you're going the opposite
22:30
direction, it's really a 180, but she, so
22:33
he calls her Annalena 360.
22:35
And he calls, every time he does some
22:37
math, he says the Annalena math.
22:40
I'm doing my Annalena Verbach math here.
22:43
And he may, and he calls Ursula von
22:45
der Leyen, he calls her, he calls her
22:48
Ursula von der Pirate.
22:51
And Ursula von der Pirate, because she gets
22:54
to go out.
22:55
She goes and seizes Russian ships, you know,
22:57
tries to do that stuff.
22:59
Let's see.
23:00
European Commission, President Ursula von der Leyen arrived
23:04
in Ankara bragging about the 800 billion dollars,
23:08
I mean Euro, 913 billion dollars the EU
23:12
intends to spend on rearmament by 2030.
23:17
The 150 billion in debt financed defense loans
23:22
for member states, and the 4 billion handed
23:26
over to Ukraine for drone procurement earlier this
23:31
month.
23:33
Dear Volodymyr Zelensky, this is her ex-account.
23:38
Dear Volodymyr Zelensky, it's good to see you
23:41
in Ankara.
23:43
We, here we are discussing the future of
23:45
defense, and Ukraine has a great deal to
23:48
contribute.
23:49
This month, we provided the first 4 billion
23:52
of our drone package to further strengthen Ukraine's
23:56
drone capabilities.
23:58
Trump was unimpressed.
24:01
Europe better be careful with immigration and energy.
24:04
If they're not careful with those two things,
24:07
you're not going to have a Europe anymore.
24:11
That's Trump.
24:12
And I do like his realism.
24:14
I mean, because, you know, he's pretty blunt.
24:17
And, you know, what was he selling?
24:21
Anti-Europe.
24:22
Well, Europe's gone.
24:23
Why now do we defend it?
24:25
But let's see if we can see the
24:27
greeting between the Green Goblin and Ursula von
24:30
der Piraten.
24:31
Way too loud.
24:31
Sorry.
24:34
Wait, now we got to do it again.
24:36
This is the big hug that we missed.
24:44
And Mark Ruta, of course, is there, uh,
24:47
hanging on to, uh, the, you know, old
24:50
Zelensky is very, very short.
24:52
He's a small dude.
24:54
And remember when he was on Kvartal 95
24:57
and he was playing the piano with his,
24:59
uh, appendage, him and a buddy, they were
25:03
playing the piano with the appendage and they
25:04
had their hands up in the air and
25:06
they were playing the piano with their, uh,
25:09
members as it were.
25:11
And that is the little comedian and, uh,
25:15
the very Russian Jewish comedian.
25:17
Um, but he was very funny before or
25:20
tried to be, but, uh, so Trump arrived
25:24
for dinner later that evening.
25:26
So the, the events came for dinner with
25:29
the NATO leaders and the president flashed a
25:31
quick thumbs up to reporters before heading inside
25:35
to dine with Erdogan and Erdogan and his
25:39
wife Emin.
25:41
And the formal dinner capped off the very
25:43
first day.
25:44
Let's see if there was some yelling going
25:46
on.
25:47
The last one was pretty loud though.
25:48
So let's be careful.
25:54
See, he gets everywhere he goes, he goes
25:56
to dinner and he gets, uh, he gets,
25:59
uh, uh, a whole band in the reception.
26:04
They're treating him well and Ursula von der
26:06
Pirat and Keir Starmer not.
26:13
Well, you can't see any of that.
26:15
That's just him showing up.
26:16
He didn't give any speeching.
26:17
So there you go.
26:18
Anyway, that was entertaining.
26:20
What else did we have?
26:21
There were a few other events.
26:24
The Netherlands and the UK signed $3.2
26:27
billion maritime deal to develop amphibious transport ships.
26:33
Keir Starmer announced that in a statement with
26:36
each nation agreeing to build just four ships.
26:39
It is a small victory for Starmer.
26:43
So they get some more ships and despite
26:45
Trump's griping NATO's European members and Canada have
26:50
ramped up military spending to their own record
26:53
heights.
26:53
According to the block, their figures defense spending
26:57
by the Canadians and Europeans is projected to
27:00
rise by just under 11% this year
27:03
to 634 billion.
27:06
After a 19% increase in 2025, the
27:10
U S is still NATO's dominant military spender.
27:14
However, with a 2026 military budget of $850
27:19
billion.
27:21
And as NATO leaders attended the dinner, there
27:25
were no more live updates from Ankara.
27:28
And that was the end of that tune.
27:31
And what else did they do?
27:34
Nothing today.
27:35
There hasn't been anything too exciting.
27:39
Let's see.
27:40
I had some, some, uh, stories I wish
27:43
to share with you that were, uh, uh,
27:49
India has, has, uh, there's something from India,
27:52
but most importantly, do you remember Le Pen,
27:54
the one who wanted to run for office
27:56
in France?
27:57
And, and, uh, they targeted her and took
27:59
her down for, uh, for, uh, corruption allegedly.
28:03
And the most, the most likely scenario, uh,
28:09
for running against someone or having someone who
28:12
would have a shot at being a presidential
28:14
candidate was the pen.
28:16
And so there, she had a French appeals
28:19
court upheld her conviction yesterday over the misuse
28:23
of EU funds, but reduced the ban on
28:29
her running for office.
28:31
Remember they want the, the, the big ticket
28:33
item wasn't the conviction of, of suing her.
28:37
It was trying to make sure that she
28:39
couldn't run for office and they lost that
28:42
the appellate court overturned that.
28:44
And so she can run for office in
28:47
2027 in the presidential rate.
28:51
So, uh, uh, you know, Marine Le Pen
28:53
announced that she will run for president in
28:56
2027 after the appeals court shortened the ban
29:00
on holding elective office imposed last year, but
29:04
they did uphold her, uh, conviction.
29:07
So she was a three time presidential candidate
29:10
who reached runoffs in 2017 and 2022.
29:14
She's been widely viewed as the front runner
29:16
to succeed Emmanuel Macron before last year's conviction
29:22
sidelined her from the race.
29:24
And she denies she did anything wrong anyway.
29:27
And it wouldn't surprise me, you know, they,
29:28
they target people.
29:30
We all know how governments are.
29:32
On Tuesday, the Paris court of appeals upheld
29:34
Le Pen's conviction, but reduced her five-year
29:37
ban on holding elected office to 45 months
29:40
with 30 months suspended, making her eligible to
29:43
stand up, you know, and be president in
29:45
2027.
29:46
The court sentenced her to three years in
29:49
prison, including two years suspended, ordered the remaining
29:51
year to be served under home detention with
29:54
electronic monitoring.
29:56
And she had a 100 year thousand Euro
29:59
and which about $114,000 fine.
30:02
And the judge said that she had already
30:04
been serving the ban since March 31, 2025
30:07
and credit that time when reducing the restriction.
30:10
The case centered on the European parliament funds
30:13
intended for parliamentary assistance that the court found
30:17
had instead been used to pay national rally
30:20
staff working in France.
30:22
The ruling said that the scheme caused 2
30:25
.8 million in losses to the European parliament.
30:30
National rally was convicted in fine $2 million
30:33
with half of the amount suspended.
30:35
So French media reported that Le Pen left
30:38
the courthouse and didn't speak to reporters and
30:40
was due to give a television interview later.
30:42
And Patrick, my son wave, my son wavy.
30:45
I don't know how to say it.
30:46
The European parliament's lawyer said that the ruling
30:49
denim demonstrated that justice is independent.
30:55
Le Pen's lawyer, who I also can't pronounce,
30:58
called the decision a good start and said
31:00
no decision had yet been made on whether
31:02
to appeal that decision.
31:05
Le Pen took the national front from her
31:08
father, Jean-Marie Le Pen in 2011 and
31:12
transformed the party, renamed it national rally in
31:15
2018 into France's largest opposition force.
31:19
Her protege had been preparing to replace her
31:23
as the party's presidential candidate.
31:25
She remained barred from running in opinion polls.
31:28
Polls have consistently placed both of them among
31:32
the top contenders for the 2027 election.
31:36
So keep an eye on that one because
31:38
that's a Trump sort of thing.
31:40
You know, you destroy them or you attempt
31:42
to destroy them with, what do they call
31:44
it over here?
31:45
Lawfare.
31:46
They charge people with crimes just to destroy
31:49
them.
31:49
That's, you know, a very American thing.
31:52
You know, they learned how to do it
31:53
from us.
31:54
And although they've had their own scams going
31:59
on for years and this, this is, is
32:04
good stuff.
32:07
Let's see.
32:09
I wanted to, where are we?
32:13
Who's in charge around here?
32:15
Is it me?
32:17
Let's see.
32:19
We're going to listen to a beat of
32:26
music and this is, and we're just going
32:30
to listen to a small part of it
32:33
whilst I re-engage with the coffee machine.
32:39
Isn't that enjoyable?
32:41
In Berlin, that one's in Berlin, the dark
32:44
techno rave Berlin in 4k.
32:47
I want to go to one more of
32:49
those because those are entertaining and they're fairly
32:51
small rooms.
32:52
You know, they'll have, I don't know, 100,
32:55
150 people in there and they'll have these
32:57
little rooms, but they are packed and they
32:59
have some, some DJ, usually young kid at
33:02
the front doing some, some crazy music and
33:05
some entertainment.
33:06
It's pretty cool.
33:07
And why it's all underground, I don't know,
33:10
but there are never any windows, never any
33:13
windows.
33:14
But I like them and they are kind
33:16
of cool.
33:17
So there you have it.
33:21
Let's see.
33:23
Oh, I still want to share with you
33:25
that stuff about India.
33:26
Ben, Ben Lapin being cleared to run for
33:28
president.
33:29
We were there, but we already went through
33:32
that.
33:35
We'll get to the experts later.
33:37
Oh, here's this one.
33:38
So Claude AI, I don't know if anybody
33:41
here uses Claude AI, but apparently it has
33:46
evolved its own human like thinking space.
33:53
So Anthropic, the company latest, their latest AI
33:58
model Claude has evolved into an internal workspace
34:02
that uses, well, it uses it itself.
34:07
This is confusing to manipulate concepts similar to
34:11
how people think says the corporation in a
34:15
paper it published on Monday and tropic researchers
34:20
said that they had found evidence suggesting that
34:23
Claude has learned to create abstract concepts in
34:28
what they dub the J space.
34:31
It operates silently in the models, internal neural
34:36
activations.
34:38
Nope.
34:39
This is scary.
34:41
Allowing the model to think about a concept
34:46
without writing it down said the AI firm
34:51
stressing that the J space has not been
34:55
programmed, but rather emerged spontaneously during the training
35:02
process.
35:02
So I use this product called codex and
35:07
it's actually an extremely glorified version and people
35:12
use it for coding, right?
35:14
Well, I use it for analysis and because
35:17
I'll take huge piles of data and information
35:22
and put it in, but I put in
35:24
the information.
35:25
I rarely have it go out and search,
35:27
but what you can do is with these
35:32
and it's an interesting concept and my trouble
35:35
is the older I get, the worse I
35:37
see, you know, they found another issue with
35:40
my eyes again the other day.
35:43
So I got sight problems while looking at
35:46
a computer especially and I got floaters all
35:49
over the place and so sometimes I get
35:51
refraction of light that just creates all kinds
35:54
of difficulties and then I have a condition
35:56
called CSR, which makes a little bit of
35:59
a fun house mirror on the left hand
36:01
side.
36:01
So I got problems, right?
36:04
And so looking at a computer kind of
36:06
gets me.
36:06
The reason I like to use AI is
36:08
because it allows me to type and I
36:11
can't type, you know, I mean I can.
36:13
I went to typing in high school because
36:15
that's where all the girls were and so
36:17
I took typing class, did pretty well, and
36:19
I sat next to a pretty little girl,
36:21
sat between the two, Vander, Vander, Vander, I
36:28
want to say Vander pirate, but no, it's
36:31
Vander, Vander Weist, Vander something, and two little
36:35
girls that were just as short as I
36:37
was and they were actually cute and I
36:40
got seated right in between them.
36:41
I was a T, they were a V,
36:43
and they didn't want the two sisters sitting
36:45
at the same table, so I got to
36:46
sit in between them and watching them type
36:51
drove me crazy because they both type and
36:53
I was, you know, the hunt and peck
36:54
variety, but I learned how to type.
36:56
I got up to 40 words a minute
36:58
at something by the end of that, but
36:59
jeez, everybody else is doing 100.
37:01
I mean, their fingers are flying.
37:02
I could never figure it out.
37:04
So I've always been a typing, not so
37:09
good.
37:10
And then if you can't see when you
37:12
type, I started putting error messages at the
37:15
bottom of my emails.
37:17
Saying, look, it's not that I can't spell.
37:20
I can't freaking see.
37:22
And I can't type.
37:23
That's the problem.
37:24
Way back when, when I was an HR
37:26
director in, uh, um, Dallas had a guy
37:29
worked for me that, well, he didn't work
37:31
for me, worked for the company and he,
37:33
he was the sales, uh, sales God.
37:36
Uh, you know, we ran the sales department
37:37
and, uh, so, you know, we had seven,
37:40
eight guys working for him and he couldn't
37:42
see.
37:42
And, uh, back at those days I was
37:44
in my, you know, early thirties and, uh,
37:47
when I was the HR director and he,
37:49
he, he came to me and was like,
37:51
look, I don't know what to do, but
37:53
it's getting embarrassing, you know?
37:55
And so I bought him way back then.
37:57
And I got pretty involved with a product
37:59
called, uh, uh, dragon naturally speaking.
38:06
And, uh, I, I, I updated that for
38:08
years.
38:09
I had this dragon naturally speaking.
38:11
And over the years it's gotten much better.
38:13
Now you can just click microphone on your,
38:15
uh, on your MS word and it'll type
38:20
for you.
38:21
And I got pretty good at dictating, you
38:23
know, and so you could, you know, uh,
38:26
start a sentence, you know, uh, coming to
38:30
you live from the Lake Ozark real estate
38:33
of the art studio, comma, uh, Samuel trap
38:37
gives his story on blah, blah, blah, period,
38:41
exclamation point dot, dot, dot.
38:43
And, and, you know, you get, I got
38:44
pretty good at dictating what I wanted it
38:47
to say so much so that I could
38:49
do it without looking at it.
38:51
But now with the advent of AI, what
38:53
it helps me do is I can get
38:55
in and I can tell the AI, uh,
38:58
in a 10 to 15 to even 20
39:01
minute discussion, what I am looking for and
39:06
how I want it to be presented.
39:09
And it will write it, uh, as I
39:13
say it and include, uh, all punctuation, all
39:21
formatting, all of everything.
39:23
And now there are models that can analyze
39:28
massive amounts.
39:32
And I mean, massive amounts of data.
39:35
Now think about this.
39:36
This is, this is the difficulty, and this
39:38
is why the practice of law is changing.
39:40
Uh, you know, I, um, I run an
39:43
organization, uh, well with partners that, uh, is
39:47
called the modern law ecosystem.
39:51
And what modern law ecosystem is, is the
39:54
back office.
39:55
We're not lawyers.
39:57
We help lawyers.
39:58
We work with lawyers.
39:59
We do the, the, the back office work
40:01
for lawyers.
40:03
And, uh, you know, usually on a case
40:05
by case basis, you know, they send over
40:07
this case or that case or five cases
40:10
and ask us to put together certain things
40:13
for them for a fee.
40:14
So what it allows people to do is
40:17
a small law firm doesn't have the time,
40:22
the capacity, most of the time, the knowledge
40:24
either, if it's a new, a new area
40:26
of the law to do the research, to
40:30
do the, uh, uh, um, data compilation.
40:36
But if you take an entire, the, the
40:39
AI portion that we have developed, and we've
40:42
developed our own platform for this, is to
40:45
create our own sort of AI intake.
40:49
So if you become a member of the
40:52
modern law ecosystem, you can actually have a,
40:55
one of the things I liked to do
40:57
when I was practicing law was to have
41:00
the client come into my office and just,
41:02
I'd, uh, I'd sit and say, all right,
41:05
tell me your story.
41:06
You got 20 minutes, you know, tell, tell,
41:09
tell however long it takes you.
41:11
Tell me the story.
41:12
If we get short on time, I'll stop
41:14
you.
41:14
Or if I have enough, I'll stop you,
41:16
but tell me your story.
41:18
I want to hear it in your own
41:19
words.
41:19
I don't want to, uh, you know, I
41:22
think many lawyers make the mistake of somebody
41:25
comes in and they say, geez, I got,
41:27
uh, uh, I got arrested for, I don't
41:30
know what, for having a VLT machine in
41:32
my convenience store.
41:34
And you go, all right, shut up.
41:35
I got that taken care of.
41:36
Get out, just pay me $20,000 and
41:38
get out and I'll take care of you.
41:39
Just, I don't hear anything.
41:41
Just shut up.
41:42
And, uh, and they send them out.
41:45
Well, the client has a story, you know,
41:48
and they want to tell that story.
41:50
The beautiful part is now there are methods
41:53
in order to get that story and not
41:58
have to sit for two hours and listen
42:00
to their whole story.
42:01
Not just you don't want to, you want
42:02
to have a good relationship with your client,
42:04
but the key points of it, you don't
42:07
have to have a paralegal sit down with
42:10
them for a day and go through their
42:13
entire file.
42:14
They can upload their own documents.
42:16
They can upload their own stuff into the
42:17
own case file.
42:19
That case file then sits out in the
42:21
same case file that everybody has.
42:24
And that case file, uh, the lawyer is
42:28
the one who owns the case file.
42:30
Well, the client does too, but the lawyer
42:32
owns that case file and he can, can
42:35
direct what to do with that particular case
42:37
file.
42:38
And the scary part is that what I
42:41
used to pay, you know, I had some,
42:43
some reasonably well paid paralegals that worked for
42:46
me and they were very gifted and they
42:49
did a good job at what they did.
42:50
But what I would do would be hand
42:52
them, you know, I've, I've in my office
42:54
right now, five or six boxes of stuff
42:57
that I'm going to have to scan, that
43:00
I'm going to have to review and input.
43:02
Um, and, and I'm doing it as a
43:04
paralegal and research guy, but I got to
43:06
suck that all into this system and then
43:09
cumulated and parse it out.
43:11
The beautiful part is, is now that huge
43:15
portion of heavy labor for somebody else can
43:22
be cumulated through these thought process AIs.
43:26
I haven't tried Claude yet, but somebody told
43:28
me I should.
43:29
Well, I tried Claude way back when, but
43:30
only the spoken side.
43:32
I didn't go, I only pay for, uh,
43:34
for two.
43:34
I've been evaluating a few of them, but
43:37
the, the ones that do the document access
43:39
let you go as far as they, uh,
43:42
as, as, as much data, but there, there
43:45
are systems out there.
43:46
Uh, there's so many of them now.
43:48
It's kind of funny because everybody's developing their
43:51
own as we are, we're developing our own
43:53
too.
43:54
And, uh, but it's beautiful because I know
43:58
what I want and I know what I
43:59
would want if I practice law, because I
44:01
did practice law for as long as I
44:04
did.
44:04
And so I can dictate exactly what I
44:06
need to get.
44:07
And the most important thing is for me
44:10
to establish like, I don't know, call it
44:12
a timeline, call it a, a, a story
44:16
from this to, uh, you know, from the,
44:19
the day that the life changing event occurred
44:22
for the client until today, what happened.
44:25
And you can take, you can take massive
44:27
amounts of data.
44:28
There are ways to input all of your
44:31
text messages, for example, all of your emails
44:35
and everything into it.
44:37
And plus they just link there.
44:39
That's it.
44:40
And so it goes out and, and it
44:42
can take all of this and accumulate it
44:44
all together.
44:44
You want to talk about evidence gathering.
44:47
This is incredible stuff and the world is
44:50
a changing, but it's only just a tool
44:52
and you need to know what to do
44:54
with that tool.
44:56
Oh, look at that.
44:57
President Trump's meeting with president Zelensky, geez, pucker
45:02
up America.
45:03
Here goes some more, another 80 billion in,
45:06
uh, we'll see what happens.
45:09
See if the conversation with, uh, uh, Putin
45:12
on the 4th of July for 85 minutes,
45:15
uh, assisted in any way, or if it,
45:18
uh, means Trump is frustrated and he wants
45:20
to start blowing crap up inside of Russia.
45:23
Did you hear that high Mars went out
45:25
yesterday?
45:26
New high Mars, uh, attacked into Russia yesterday.
45:30
That's American intelligence.
45:32
No doubt.
45:33
So we're, we're now, uh, tap dancing across
45:37
the line in my view.
45:38
So at any rate back to the AI
45:41
story on this so-called J space that,
45:43
I haven't seen any evidence that the AI
45:48
that I'd been using is independent thought process.
45:54
But if you use some of these bigger
45:55
ticket items, like I do, you can watch
45:59
it process.
46:03
And I don't want to say it's thinking,
46:05
it's not thinking and don't make the mistake
46:07
of thinking it is organizing.
46:10
So if you upload 10,000 documents, it
46:13
can analyze them in about an hour and
46:16
a half.
46:17
Okay.
46:18
And, uh, it'll go through every single one
46:20
of them.
46:21
It'll accumulate them.
46:22
If you bait stamp them, you can, uh,
46:24
pick out where it can gather and take
46:27
your evidence and put it into place for
46:29
you.
46:29
Right.
46:30
And so what, what you can watch it
46:34
do on the screen, if you want to
46:36
sit there and watch the whole hour and
46:37
a half of research that is generating for
46:40
it, you can watch it do it.
46:43
It'll say reading document batch blah.
46:48
Two minutes later, it'll have analyzed it and
46:51
say, I've read that.
46:52
Now it brought up some of this and
46:54
I need to go find this other document
46:56
in this folder.
46:57
And you can file, put a path folder
46:59
over to where all of your entire case
47:03
documents are located.
47:04
And you can say, uh, here you go,
47:07
put, put this over there.
47:09
This is what I want to look at.
47:10
This is how I want to look at
47:11
it.
47:12
And this is what I want to do
47:13
and give literally some of my instructions are,
47:16
are 15, 20 minutes long that the instructions
47:20
that I'm giving as I'm reviewing the file
47:24
and the documents and everything in this folder.
47:26
And I say, go out and look at
47:28
this folder, check what's in it.
47:30
Look at this document in particular, look at
47:33
this document that I received from this police
47:35
department, this document that I got from the
47:38
attorney general's office, this one that I got
47:40
from the, the, uh, person charged with a
47:43
crime, this one from here and all of
47:46
these that I scanned.
47:47
Here's the first court hearing and the transcript
47:49
of that.
47:50
Here's the audio file because now they can
47:52
view audio or listen to audio files.
47:55
Listen to these, this audio file.
47:57
Remember this part when it said this, and
47:59
I do this, some of this for my
48:01
show too, by the way, I say, go
48:03
out and find me this, get the exact
48:05
statements of such and such.
48:06
And, uh, it is incredible the amount of
48:09
things that I can get done in a
48:11
day that I never in a billion years
48:13
could have gotten done before.
48:15
And, and if an attorney can sit and
48:17
do this daily and I don't want to
48:21
downplay the necessity, you still need a, a
48:24
very suitable and a very gifted paralegal, but
48:28
maybe you don't need four of them.
48:29
You know, I had one for bankruptcy, I
48:32
had another one for civil law and another
48:34
one for criminal, you know, and, and then
48:36
I had a general one, plus a receptionist,
48:39
you know, is, is what, because there were
48:41
some busy, busy things going on and, uh,
48:44
uh, and, you know, we paid them very
48:46
well, but AI is going to help with
48:49
things like that, but you don't want AI
48:51
thinking for itself.
48:52
And in this paper that they published on
48:54
Monday, when I was reading, I was like,
48:56
holy crap, this J space is what people
48:59
are worried about.
49:00
They're worried about whether or not this, it
49:03
operates silently in the models, internal neural activations.
49:09
So they're already calling them neural activations.
49:12
This is a neural thought only American Americans,
49:14
only, uh, humans have neural thought.
49:17
I mean, we have brain thought processes.
49:19
How in the world is a, uh, are
49:21
you going to call a computer a neural
49:23
activation?
49:25
And it allows the model to think about
49:26
a concept and not write it down.
49:29
Similar to how humans think about one thing
49:32
while doing another one, Claude can activate concepts
49:36
and computations in its own J space unrelated
49:41
to its outputs.
49:44
And tropic said on X Claude can report
49:48
what it's thinking in its J space or
49:51
modulate it on request.
49:53
According to the firm, even when Claude is
49:55
not told to think about a concept, the
49:58
concept will still appear in this J space.
50:02
And tropics research suggests the nonverbal workspace made
50:07
it harder to monitor the model.
50:10
Well, of course, if it's nonverbal and it's
50:13
not in the workspace, how in the hell
50:16
are you going to monitor it?
50:17
Why is it coming up with the hallucinations?
50:21
Why is it giving, uh, uh, what do
50:23
they call it?
50:26
What do they call it?
50:27
When you suck a sycophantic, why is it?
50:29
They call it sycophancy.
50:31
AI has sycophancy tells you what you want
50:33
to hear.
50:33
And so you really got to argue with
50:35
it.
50:35
You know what I mean?
50:37
And sometimes, and the non, but if you're
50:39
just giving it instructions, it'll perform them flawlessly.
50:43
You know, but if you tell it, you
50:44
know, give me an opinion, don't do that.
50:47
I don't, you don't want your frigging opinion.
50:49
I want you to do what I tell
50:50
you to do.
50:51
You want to use some kind of machine.
50:53
I don't agree with you, especially if all
50:56
the AI stuff in America is coming from
50:59
a strongly Western backed and a highly, uh,
51:05
cancel culture focused, uh, background.
51:11
I told you about that yesterday.
51:12
If you look at some of the stuff
51:14
that AI will tell you, it'll say, well,
51:16
be suspicious of this that came from, uh,
51:20
uh, Russia.
51:23
So why does that make it suspicious?
51:25
And it comes from America.
51:26
It's not suspicious.
51:30
Hmm.
51:30
Curious.
51:31
And so, so worry about Claude, worry about
51:34
AI.
51:34
The nonverbal workspace makes it harder to monitor
51:38
the model for what Antropic calls AI misbehavior.
51:45
One experiment tested this by placing Claude in
51:48
a fictional scenario where it was given incriminating
51:53
information about a fictional executive who allegedly planned
51:59
to shut the AI down.
52:03
In some of the trials and tropic use
52:06
tools developed to study what Claude thought in
52:09
its J space to remove patterns associated with
52:13
fake fictional scenario to convince it that the
52:18
situation was not a test.
52:21
Concerningly, the model now did threaten blackmail some
52:25
of the time suggesting that its original good
52:28
behavior may have been driven in part by
52:31
knowledge that it was being evaluated.
52:36
Is that crazy?
52:37
So despite the models, more advanced reasoning and
52:40
tropic stress that Claude had not achieved consciousness.
52:47
Claude was reportedly built into American contractor Palantir's
52:52
analysis and surveillance software used by government agencies
52:56
amid Washington's push to integrate AI into its
53:00
military, political, and spy systems.
53:03
During the war in Iran, the software reportedly
53:07
flagged the elementary school as a target.
53:12
A U.S. strike killed 160 people at
53:16
the facility, most of whom were children.
53:19
And according to Antropic CEO Dario Amodi, such
53:24
a use of Claude would not violate the
53:27
firm's red lines.
53:31
Violates my red lines?
53:33
You know, that is crazy.
53:36
He says, so, so we're not, you know,
53:39
I don't know that I, I don't like
53:41
the use of this AI targeting, you know,
53:44
that, that there's no human involved.
53:47
The Tomahawk strike on Manab elementary school in
53:51
Iran killed 160 people nearly 158, something like
53:55
that.
53:55
Mostly children on the first day of the
53:58
war in Iran.
54:00
And that doesn't violate Antropic's red lines.
54:03
The U.S. forces struck to school in
54:06
Manab with Tomahawk missiles on the first day
54:08
of the war in February.
54:10
The institution was targeted based on outdated data
54:14
used by Palantir's analysis and surveillance software, which
54:19
incorporates Antropic's Claude AI that we were just
54:23
talking about, that thinks in its own background.
54:26
In an interview with Bloomberg, Amodi was asked
54:30
whether his firm's AI played a role in
54:32
the attack.
54:33
We don't know exactly how those models were
54:36
used and what you're talking about is a
54:38
use case that doesn't violate our red lines.
54:42
While AI assists the military, a human made
54:45
the final call, he said, stressing that Antropic
54:49
opposes entirely autonomous weapons and decision-making systems.
54:55
I'm not so sure about that.
54:58
They have a techno fascist manifesto at Palantir.
55:02
Did you know that?
55:03
I'll share that with you in a minute.
55:05
The U.S. military has admitted to it,
55:07
to actively using Palantir named after the 11
55:10
scrying orbs corrupted by Sauron.
55:13
If you ever read the Silmarillion like I
55:15
did in my youth, in Tolkien's Lord of
55:18
the Rings, to pick targets in the war
55:21
on Iran.
55:22
Last month, the Pentagon announced it had inked
55:25
deals with top AI companies including Google, Amazon,
55:29
SpaceX, OpenAI, NVIDIA, and Microsoft.
55:32
In weeks earlier, Palantir proclaimed a new era
55:36
of AI-enabled U.S. military supremacy.
55:40
Well, not if you're bombing little girls' schools.
55:44
According to Google whistleblower and Palantir inside Zach
55:47
Vorey's AI Giants Defense of Surveillance and the
55:51
Use of AI in Warfare, it's a catch
55:54
-22.
55:55
It's like, hey, look, if we get a
55:57
very accurate data of your country, then we
56:00
won't bomb a school for girls, he said.
56:04
While discussing reports that data secretly harvested, remember
56:08
I shared this with you, secretly harvested from
56:10
Pokemon Go players over many years was used
56:14
to enhance U.S. military mapping capability.
56:17
The way that they're framing this is that
56:21
if they don't have good information, they're just
56:23
going to have collateral damage.
56:25
So if you don't have good information, well,
56:27
you know, that we're only as good as
56:30
the information we have.
56:31
Well, that's true.
56:32
You know, he warned this Vorey's guy, remember
56:34
that open article he put on his way
56:37
out the door?
56:37
He said that U.S. AI Giants are
56:40
pushing to be deregulated in pursuit of military
56:46
advantage.
56:47
Isn't that nutty?
56:55
All right, sir, we have a caller.
56:58
How may I help you today?
57:04
I don't know what's going on with your
57:05
phone these days, but I can't hear you.
57:07
I think you tried to call in yesterday
57:09
as well.
57:10
Nothing.
57:11
Are you there?
57:14
Zip.
57:15
Okay, well, there you have it.
57:17
Thanks for the call, but no voice.
57:19
Didn't hear anything.
57:20
Anyway, these AI things are, you know, have
57:26
you heard of this techno fascist manifesto?
57:31
Get this.
57:33
This is Palantir, the techno fascist manifesto.
57:36
American surveillance tech contractor Palantir released a 22
57:41
point manifesto calling for a new era of
57:47
AI enabled U.S. military supremacy.
57:50
The internet went wild and the text was
57:53
labeled a blueprint for techno fascism.
57:58
The document goes beyond the typical mission statement
58:01
of a Silicon Valley tech company.
58:04
It outlines Palantir's positions on the role of
58:06
technology and military power in the 21st century
58:10
and says Silicon Valley has an affirmative obligation
58:15
to participate in the defense of the nation.
58:19
Hard power in this century will be built
58:23
on software.
58:25
National service should be a universal duty and
58:29
post-war neutering of Germany and Japan must
58:34
be undone.
58:36
Okay.
58:38
To understand how a private corporation can feel
58:41
empowered to demand such far-reaching policy changes,
58:46
it's important to understand what Palantir is, how
58:49
enmeshed with the deep state it really is.
58:53
What is it?
58:54
Palantir is named after the obsidian seeing stones
58:57
in Lord of the Rings.
58:59
Let's see.
59:00
The company was established in 2003 by PayPal
59:03
co-founder Peter Thiel, Joe Lionsdale who worked
59:09
for Clarium Capital, Stephen Cohen who interned at
59:13
Clarium, former Sigmund Freud Research Institute researcher Alex
59:17
Karp and Nathan Gettings, a PayPal engineer.
59:21
Palantir was the brainchild of Thiel who said
59:24
that he realized the approaches that PayPal had
59:27
used to fight fraud could be extended to
59:30
other contexts like fighting terrorism.
59:33
His idea was nurtured by the CIA that
59:37
invested two million in the company in 2005
59:40
through its in-house venture capital firm in
59:44
In-Q-Tel.
59:45
I wish I had Palantir when I was
59:47
a director, said former CIA chief George Tenet
59:52
who set up In-Q-Tel and he
59:55
told Forbes magazine in 2013.
59:58
Well, that's what he said.
59:59
I wish I had it when I was
1:00:00
in power.
1:00:01
Palantir is now valued at $352 billion, a
1:00:07
valuation that represents 80 times the company's annual
1:00:10
revenue.
1:00:11
This overvaluation is fueled by Palantir's extensive contracts
1:00:16
with the U.S. government and its alphabet
1:00:19
soup of defense and intelligence agencies.
1:00:22
What do they sell?
1:00:24
Their flagship product is an operating system called
1:00:28
Gotham, not a surveillance system as such, but
1:00:32
it does pull together and analyzes existing data
1:00:39
that may otherwise take days to sift through,
1:00:42
just like I was telling you I did.
1:00:44
For example, if the U.S. Central Command
1:00:46
is planning a missile strike in a foreign
1:00:48
country, Gotham can combine maps and satellite footage
1:00:53
from that country, data from other agencies, including
1:00:56
HUMINT from the CIA and SIGINT from the
1:00:59
NSA and local surveillance data to present CENTCOM
1:01:04
with potential targets.
1:01:07
So that's how they got the target.
1:01:09
Gotham and Mosaic, another Palantir target identification program
1:01:13
that pulls digital data including surveillance footage and
1:01:18
IP addresses from a target area, use AI
1:01:21
to label the most effective targets for military
1:01:23
strikes.
1:01:24
The U.S. admits that it has used
1:01:27
these programs to select targets during the war
1:01:30
with Iran and insists that humans made the
1:01:33
final decisions to fire.
1:01:35
Yeah, but if that's all the information you
1:01:37
got, a human saying, yeah, fire, you're relying
1:01:40
on the data.
1:01:41
That's potentially a problem if you can't use
1:01:45
AI to reliably do stuff, which you shouldn't
1:01:49
anyway.
1:01:50
But Gotham has also been used as a
1:01:53
policing surveillance tool.
1:01:55
The L.A. Police Department uses Gotham to
1:01:58
collect data on civilians, including names, addresses, social
1:02:03
media activity, personal relationships, and surveillance photographs to
1:02:07
trace their connections to known criminals and predict
1:02:11
the likelihood that they will commit crimes.
1:02:16
Gotham can centralize everything an agency knows about
1:02:20
a person in one place, including the eye
1:02:24
color from their license plate or the license
1:02:26
or from their driver's license or their license
1:02:29
plate from a traffic ticket, making it easy
1:02:32
to build a detailed intelligence report, said a
1:02:36
former employee to Wired last year.
1:02:41
Who are Palantir's customers?
1:02:44
Their client list is extensive.
1:02:46
In the U.S., it includes the Department
1:02:48
of Defense, Department of Homeland Security, Immigration Customs
1:02:52
Enforcement, CIA, FBI, NSA, U.S. Army, Marine
1:02:57
Corps, Air Force, Special Operations Command, and dozens
1:03:00
or even hundreds of police departments and other
1:03:04
law enforcement agencies.
1:03:05
At present, there is no single publicly available
1:03:10
list of Palantir customers within the U.S.
1:03:14
Abroad, their technology is used by the British
1:03:17
Ministry of Defense, Israeli Defense Forces, Armed Forces
1:03:20
of Ukraine, as well as police departments and
1:03:24
government agencies in France, Germany, Denmark, Netherlands, Norway,
1:03:27
and the U.K. Why is a private
1:03:30
surveillance tech company releasing its own manifesto?
1:03:35
At its core, Palantir is a data aggregation
1:03:39
company, but one set apart by its own
1:03:42
clients, its marketing, and the ideological streak of
1:03:47
its executives.
1:03:48
The company markets itself not as a faceless
1:03:51
seller of data collation and analysis software, but
1:03:55
in its own words, as a provider of
1:03:57
an AI-powered kill chain that enables decision
1:04:03
dominance from space to mud.
1:04:08
Palantir refers to its consultants as forward-deployed
1:04:14
software engineers and to internal emails as situation
1:04:20
awareness reports.
1:04:22
CEO Alex Karp portrays himself as deeply involved
1:04:27
in military decisions that he, at least on
1:04:31
paper, should not be.
1:04:34
Palantir's mission, he said on an earnings call
1:04:37
last year, is to scare enemies and, on
1:04:41
occasion, to kill them.
1:04:44
As the public face of the company, Karp
1:04:46
has defended the IDF's use of Palantir's software
1:04:50
to plan strikes in Gaza and called for
1:04:53
the U.S. to prepare for a three
1:04:55
-front war against China, Russia, and Iran.
1:05:00
Yeah, all done by AI.
1:05:02
The manifesto can be viewed as a continuation
1:05:05
of his own sales pitch adapted from his
1:05:08
2025 book, The Technological Republic, to 22 points
1:05:12
envision a world in which Palantir's products will
1:05:15
be even higher demand.
1:05:17
The following points, take these.
1:05:20
The engineering elite of Silicon Valley have an
1:05:24
affirmative obligation to participate in the defense of
1:05:27
the nation.
1:05:29
The ability of free and democratic societies to
1:05:32
prevail requires something more than moral appeal.
1:05:37
It requires hard power, and hard power in
1:05:41
this century will be built upon software.
1:05:46
Here's another one.
1:05:47
The question is not whether AI weapons will
1:05:50
be built, it is who will build them
1:05:53
and for what purpose.
1:05:56
Our adversaries will not pause to indulge in
1:05:59
a theatrical debate about the merits of developing
1:06:02
technology with critical military and national security applications.
1:06:08
They will proceed.
1:06:11
This is frightening, isn't it?
1:06:13
Some guy, this is just some guy.
1:06:17
The atomic age is ending.
1:06:20
One age of deterrence, the atomic age is
1:06:23
now ending, and a new era of deterrence
1:06:26
built on AI is set to begin.
1:06:32
Here's the Germany and Japan part.
1:06:35
The post-war neutering of Germany and Japan
1:06:38
must be undone.
1:06:41
The defanging of Germany was an over-correction
1:06:45
for which Europe is now paying a heavy
1:06:48
price.
1:06:49
A similar and highly theatrical commitment to Japanese
1:06:54
pacifism will, if maintained, also threaten to shift
1:06:59
the balance of power in Asia.
1:07:03
And Silicon Valley must play a role in
1:07:07
addressing violent crime.
1:07:11
This guy isn't just selling a platform.
1:07:15
Karp's products are implicitly presented as the solution
1:07:19
to all problems, and his peace through strength
1:07:22
message seems tailor-made to please Donald Trump,
1:07:26
whose administration, Thiel's company, will ultimately sign contracts
1:07:33
with.
1:07:34
After AI firm Antropic was booted from a
1:07:37
Pentagon program over its refusal to enable mass
1:07:40
domestic surveillance or fully autonomous weapons, Palantir's manifesto
1:07:46
is equal parts sales pitch and pledge of
1:07:49
fealty.
1:07:50
The remainder of its points delve into culture
1:07:53
war territory, declaring that visionaries like Elon Musk
1:07:57
should be applauded for their belief in the
1:08:01
grand narrative, and that pervasive intolerance of religious
1:08:05
belief in certain circles must be resisted, and
1:08:09
that some cultures have produced vital advances and
1:08:13
others remain dysfunctional and regressive.
1:08:20
Wow.
1:08:23
Who are these guys?
1:08:25
Maybe we should look into them.
1:08:27
Who are they?
1:08:32
What are people saying about the manifesto?
1:08:35
Palantir's manifesto has garnered an overwhelmingly negative reaction,
1:08:41
with commentators describing it as scary, techno-fascists,
1:08:45
and the ramblings of a comic book villain.
1:08:49
The manifesto's vision is that of a U
1:08:52
.S. government and its tech allies as dominant
1:08:55
players, unconstrained by accountability, said political scientist Donald
1:09:02
Moynihan.
1:09:03
A world where soft power has real and
1:09:05
lasting impact is simply less profitable for a
1:09:09
company like Palantir.
1:09:11
Relative to a world where we blow a
1:09:13
lot of stuff up, he said.
1:09:17
If governments were actually doing their job, this
1:09:20
Palantir document wouldn't be a manifesto they proudly
1:09:24
boast about, but a clear sign of the
1:09:27
urgent need to purge its software from public
1:09:29
institutions it has infiltrated, said French entrepreneur Arnaud
1:09:35
Botrand on X.
1:09:36
They're effectively saying our tools aren't meant to
1:09:40
serve your foreign policy.
1:09:43
They're meant to enforce ours.
1:09:49
Alexander Dugin, who's a Russian commentator, his wife
1:09:53
was killed by the Ukraine, or wife, daughter
1:09:55
was killed by the Ukrainians, put on that
1:09:57
kill list.
1:09:58
He says the Palantir manifesto is much more
1:10:02
important than Trump.
1:10:03
Trump is an insignificant pawn on a serious
1:10:06
chessboard.
1:10:07
His role is total destruction.
1:10:10
The preparation stage, Palantir is far more serious.
1:10:15
It is the plan to safeguard the declining
1:10:18
dominance of the West by radical means.
1:10:22
Wow.
1:10:25
Isn't that crazy?
1:10:28
That story, there were a couple more parts
1:10:31
of it, was published in late April, by
1:10:38
the way.
1:10:40
That's some crazy, crazy stuff.
1:10:44
Where are we now?
1:10:46
We're done with Claude.
1:10:48
We'll get off onto something else.
1:10:54
I wanted to get to, I still want
1:10:56
to get to those Indian guys and talk
1:11:00
about them.
1:11:03
But I think I'm going to go to
1:11:07
the follow-up to the Ukraine issue and
1:11:17
crushing strikes in Kyiv, because I watched more
1:11:22
videos of that.
1:11:25
But you know what?
1:11:26
We talked about that most of the day
1:11:27
yesterday.
1:11:28
I think I'm going to go to the
1:11:29
Russian Olympic Committee.
1:11:31
Get this.
1:11:32
So the International Olympic Committee has lifted the
1:11:37
Russian Olympic Committee's suspension.
1:11:40
The move clears the way for Russian athletes
1:11:43
to return under International Federation zone rules.
1:11:47
The IOC provisionally lifted its suspension of Russian
1:11:51
athletes clearing the way for the country to
1:11:54
return to international competition.
1:11:57
Three years after the ROC was suspended until
1:12:00
further notice for bringing under its umbrella sports
1:12:03
organizations from four former Ukrainian regions that had
1:12:08
voted overwhelmingly to join Russia.
1:12:14
In a statement on Tuesday, the IOC said
1:12:17
it lifted the suspension after finding the ROC
1:12:20
no longer includes as its members any regional
1:12:24
sports organizations in territories falling under the jurisdiction
1:12:28
of the National Olympic Committee of Ukraine and
1:12:32
confirmed it would not conduct any activities there.
1:12:35
The Olympic body said it would continue to
1:12:37
monitor this situation.
1:12:39
The IOC withdrew its recommendations that Russian athletes'
1:12:43
participation in international competitions was no longer allowed,
1:12:49
but athletes returning to competition will still be
1:12:52
required to meet anti-doping rules.
1:12:57
The IOC said it would not stage its
1:13:01
own events in Russia or invite Russian government
1:13:05
officials.
1:13:06
It added that the decision on the use
1:13:12
of the Russian flag, anthem, and other national
1:13:15
symbols at the LA 2028 Olympics would be
1:13:19
taken at the appropriate time.
1:13:23
So, Maria Zakharova, the foreign ministry spokeswoman, welcomed
1:13:28
the decision and said on Telegram that common
1:13:31
sense prevailed.
1:13:32
Global sports will go on and they will
1:13:35
go on with Russia.
1:13:37
Russia described the IOC's 2023 suspension as politically
1:13:41
motivated and an example of deliberate segregation that
1:13:46
violated the principles of the Olympic movement.
1:13:50
They repeatedly accused Western countries of politicizing sport
1:13:55
and pressuring international federations to exclude Russian athletes
1:14:00
and argued that competitors should be judged solely
1:14:03
upon their sporting merit.
1:14:07
I happen to agree with that for any
1:14:09
country, not just Russia.
1:14:13
So, let's see.
1:14:15
Where else we going today?
1:14:19
Where shall we go?
1:14:22
So, CNN put out a report.
1:14:25
This was published this morning.
1:14:28
Senior U.S. military commanders ignored warnings that
1:14:35
intelligence on targets in Iran was outdated as
1:14:40
they rushed to compile strike lists at the
1:14:43
start of the war.
1:14:44
Citing sources familiar with the decision-making process,
1:14:49
CNN said this decision contributed to the strike
1:14:53
on the Iranian girls' school and the bombing
1:14:56
that killed 120 students aged 6 to 13
1:15:02
and in addition killed 36 adults happened on
1:15:06
the very first day of the operation against
1:15:08
Iran, February 28.
1:15:10
According to CNN, messages embedded in the Pentagon's
1:15:13
targeting system warned that intelligence on strike sites
1:15:19
was based on years-old information and required
1:15:23
verification before locations could be approved for attack.
1:15:27
The warnings were overridden for expediency as commanders
1:15:33
sought to accelerate the approval of strike options.
1:15:37
CNN cited three sources familiar with the process.
1:15:42
Secretary of War put me in coach Pete
1:15:45
Hegseth announced a formal investigation in March.
1:15:49
Yeah, right.
1:15:50
CENTCOM commander Bradley Cooper said in May that
1:15:54
the findings would be made public once the
1:15:57
inquiry is complete.
1:15:59
Yeah, right.
1:16:00
According to CNN, U.S. military officials knew
1:16:05
within days how the mistake happened.
1:16:08
One of the sources told the outlet that
1:16:10
it was obviously old info.
1:16:14
Bloomberg reported last month that the Pentagon investigation
1:16:18
was complete in April and found the strike
1:16:21
resulted from gaps in the military's targeting system.
1:16:25
According to the outlet, U.S. intelligence analysts
1:16:28
identified the Manab site as an elementary school
1:16:31
rather than an Islamic Revolutionary Guard Corps naval
1:16:36
facility in 2019.
1:16:38
But the updated assessment never reached military commanders
1:16:43
because it was entered into a digital intelligence
1:16:46
school not linked to the Pentagon's official targeting
1:16:50
database.
1:16:51
U.S. President Trump said last month that
1:16:55
the actual culprit behind the strike in Manab
1:16:58
may never be established.
1:17:02
Yeah.
1:17:04
There were missiles flying all over the place
1:17:08
and it's horrible what happened.
1:17:10
Somebody said it was our missile.
1:17:12
Maybe it wasn't our missile, but I've seen
1:17:14
nothing to lead me to believe it was,
1:17:17
said Trump.
1:17:17
Well, he ain't looking very hard.
1:17:20
Iranian officials described the attack as a war
1:17:23
crime and crime against humanity and demand accountability.
1:17:29
Meanwhile, Grok AI, according to the Pentagon, helped
1:17:35
fire 2,000 missiles at Iran.
1:17:38
U.S. Department of War has designated XAI
1:17:42
data centers as battlefield infrastructure.
1:17:46
Elon Musk's Grok AI has become an integral
1:17:50
part of America's war machine and its data
1:17:52
centers must be treated like munition production plants
1:17:57
in a future conflict, according to a sworn
1:17:59
declaration by the Pentagon's artificial intelligence chief.
1:18:05
A statement about Grok was submitted as part
1:18:08
of an effort by Trump and his administration
1:18:11
to intervene in a lawsuit seeking to restrict
1:18:14
the operations of XAI's Colossus data centers in
1:18:19
Memphis, Tennessee, over environmental concerns.
1:18:23
Cameron Stanley, the chief digital and artificial intelligence
1:18:27
officer at the U.S. Department of War,
1:18:29
compared XAI's computing capacity to weapons manufacturing, said
1:18:33
the company's ability to operate data facilities at
1:18:37
a massive scale is as foundational to our
1:18:41
modern defense posture as traditional munitions production.
1:18:47
Stanley revealed that Grok is a crucial part
1:18:50
of Palantir-developed Maven Smart Systems, MSS, a
1:18:55
platform that supports targeting intelligence, readiness, and recruitment,
1:19:00
as well as military planning and logistics.
1:19:03
MSS frontier workflow enable U.S. forces to
1:19:07
deploy 2,000 munitions to 2,000 distinct
1:19:10
targets within 96 hours during Operation Epic Fury,
1:19:14
he said, adding that XAI is one of
1:19:17
just three enterprise providers able to sustain mission
1:19:21
-critical operations across secret and top-secret classified
1:19:25
networks.
1:19:26
He warned that if XAI's Colossus II facility
1:19:29
is shut down or deprived of power, the
1:19:32
Pentagon's capabilities would be impaired.
1:19:36
Wow.
1:19:41
The reference to the Pentagon's Project Maven places
1:19:44
Grok inside a broader, increasingly controversial AI-targeting
1:19:48
ecosystem.
1:19:49
It began as an algorithmic warfare initiative to
1:19:52
help process battlefield data, while Palantir, one of
1:19:55
Washington's most entrenched surveillance and defense contractors, marketed
1:19:59
its software as the AI-powered kill chain,
1:20:02
and the company's role has drawn renewed scrutiny
1:20:06
after reports that these targetings contributed to the
1:20:10
strike on the Manab school that took these
1:20:12
160 schoolgirls.
1:20:15
The school was selected based on outdated data.
1:20:21
Palantir executives now openly embrace the company's military
1:20:26
mission.
1:20:29
Palantir, remember, we scare our enemies and on
1:20:34
occasions kill them while the manifesto declares that
1:20:39
hard power is built on software.
1:20:44
So, XAI, which developed Grok as a rival
1:20:47
to ChatGPT, was merged with SpaceX earlier this
1:20:50
year, and company data centers have also become
1:20:53
a major source of computing power for other
1:20:57
AI firms, with Google and Antropic signing multi
1:21:00
-billion dollar agreements to rent capacity from Musk.
1:21:03
The NAACP lawsuit alleges that XAI is violating
1:21:08
the Clean Air Act by operating dozens of
1:21:11
gas-burning turbines without permit or pollution control.
1:21:16
Environmental groups accuse Trump administration of trying to
1:21:21
override citizen lawsuits used to enforce pollution law.
1:21:28
Tell you what, these sort of things, these
1:21:30
data centers and everything, they take up tons
1:21:33
of power, and remember they wanted to have
1:21:35
one here in Camdenton, I believe, and I'm
1:21:39
not necessarily against it, but at least understand
1:21:42
what you're getting into or getting out of.
1:21:43
It'll bring a lot of dollars, a lot
1:21:46
of high-level pay, a lot of high
1:21:50
-paying jobs here if you want to do
1:21:52
that, but make sure that you understand what
1:21:54
you're getting into before you choose to vote
1:21:56
for or against it.
1:21:58
I'm not even sure I'm going to vote
1:21:59
in Missouri.
1:22:00
I haven't yet switched back from Florida, but
1:22:04
we'll see.
1:22:06
I think that's it for today.
1:22:08
Tomorrow, this is today, it's Wednesday, the greatest
1:22:12
day in radio history on the planet here
1:22:17
at Damn Radio, and I encourage you to
1:22:22
spend the day listening to Damn Radio.
1:22:25
Always good music, always good talk, and folks
1:22:29
to chat with should you feel the urge.
1:22:32
I'll be back tomorrow, 7.30 to 9,
1:22:34
and on Friday from 7 to 8.30,
1:22:39
excuse me, 7 to 8.30 on Civic
1:22:44
Outlaws.
1:22:44
That'll be entertaining.
1:22:46
Too much coffee.
1:22:48
Let's see.
1:22:51
Noisy coffee, but there you have it.
1:22:53
Anyway, I appreciate you all and appreciate your
1:22:56
listenership, as does Damn Radio.
1:23:01
So, thank you very much and have a
1:23:04
very nice day.