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Speaker 1: From UFOs to psychic powers and government conspiracies. History is

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Speaker 1: riddled with unexplained events. You can turn back now or

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Speaker 1: learn the stuff they don't want you to know. A

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Speaker 1: production of iHeartRadio.

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Speaker 2: Hello, welcome back to the show. My name is Matt,

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Speaker 2: my name is Noel.

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Speaker 3: They call me Ben. We're joined as oldways with our

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Speaker 3: super producer Dylan the Tennessee pal Fago. Most importantly, you

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Speaker 3: are you. You are here. That makes this the stuff

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Speaker 3: they don't want you to know. We are returning to

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Speaker 3: a continuing series, friends and neighbors fellow conspiracy realist. In

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Speaker 3: chapter one of this series, called Peter and the Antichrist,

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Speaker 3: we looked at the life and times of a guy

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Speaker 3: named Peter Teel. You guys remember Pete from earlier Pete

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Speaker 3: from South Park, Yeah Yeah, also referenced in South Park.

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Speaker 2: Yeah, heavily referenced in Silicon Valley on the HBOS.

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Speaker 3: On the HBOS, I love that one, Matt. This guy

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Speaker 3: is in real life an actual facts wealthy tech giant.

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Speaker 3: He is a political power behind the throne in the

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Speaker 3: United States and as we'll see in several other countries. Honestly,

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Speaker 3: I don't want this to be a hot take, but

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Speaker 3: everything we learned about him in chapter one assures me

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Speaker 3: that he is a would be oligarch or techno gark.

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Speaker 2: Look, I feel a little bit bad for Peter Teel

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Speaker 2: because he is in the same group of like twelve

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Speaker 2: other guys who I think matched the exact description you're

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Speaker 2: talking about then, and it does feel more and more

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Speaker 2: like we're headed that way, And it's kind of it's

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Speaker 2: not even really a secret anymore. Like when you hear

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Speaker 2: about secret meetings that some of these guys are having

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Speaker 2: with you know, the upper echelons in like the UK

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Speaker 2: government or the US government, Like secret meetings, not meetings

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Speaker 2: for people who are going to donate a bunch of

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Speaker 2: money or something like that. Those are just lobbyists. In

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Speaker 2: this case, it's like secret meetings about technology that you

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Speaker 2: might be able to use.

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Speaker 3: Do you guys remember how excited we were, oh gosh,

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Speaker 3: more than a decade ago to get confirmation that Bohemian

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Speaker 3: Grove was a real thing, like a real summer camp.

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Speaker 4: They really have the big owl.

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Speaker 3: Yeah they do. They do. The cremation of care is

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Speaker 3: a real thing they do, Okay, And we.

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Speaker 2: All saw the Alex Jones footage and I think many

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Speaker 2: of us, especially at the time, were like, there's no

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Speaker 2: way that's real. That's not come on something. They're doing

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Speaker 2: a setup. This is a silly thing, that's too creepy

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Speaker 2: and weird. But no, no, no, no, it's real.

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Speaker 3: Yeah. And these secret meetings or a thing, they are

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Speaker 3: arguably non democratic, to be quite honest. Yeah, we know

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Speaker 3: that Pete. In his early days, please do check out

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Speaker 3: chapter one. He was most well known in public circles

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Speaker 3: as a name in the byline of PayPal, and then

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Speaker 3: he made a lot of very smart early investments in

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Speaker 3: other tech companies like Facebook now Meta. We talked about

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Speaker 3: his rise to fame, and we spend a lot of

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Speaker 3: time exploring his diplomatically put eccentric obsession with the concept

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Speaker 3: of the Antichrist.

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Speaker 4: Yes, Ben, you mentioned the smart aspect of Peter Teal,

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Speaker 4: and I mean, certainly they have to have a certain

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Speaker 4: amount of starts to amass that much wealth. Maybe, you know, arguably,

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Speaker 4: I guess I've always thought of him as being a

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Speaker 4: little more savvy and media savvy than say, you know,

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Speaker 4: someone like Elon Musk, who's out there kind of you know,

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Speaker 4: putting his foot in his mouth every single day with

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Speaker 4: diminishing public opinion of him, you know, kind of. I

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Speaker 4: don't know, but Teal certainly thought of as a little

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Speaker 4: bit of a kind of like the devil behind the

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Speaker 4: scenes kind of. I don't know. I guess I just

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Speaker 4: don't think of him as being quite as public facing

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Speaker 4: as some of these other, you know, technocrats.

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Speaker 3: Yeah, that's a great observation. He is definitely a whispering

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Speaker 3: power behind the throne, and for a long time he

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Speaker 3: was one of those people that you would only know

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Speaker 3: about if you were also in the know on particular

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Speaker 3: developments in Silicon Valley or indeed political policy.

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Speaker 2: Just to take it back to that secret meeting for

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Speaker 2: one more moment, because Bohemian grove is one thing, right,

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Speaker 2: but it's another thing to be able to walk to

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Speaker 2: Downing Street in London and meet with the then Prime

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Speaker 2: Minister in twenty nineteen, and to have that meeting marked

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Speaker 2: as private in the official ledger and then no record

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Speaker 2: of your meeting with a venture capitalist from another country

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Speaker 2: just kind of just be the thing. There's no story here,

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Speaker 2: there was no meeting, it was private. You're not supposed

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Speaker 2: to know about that. That's the kind of thing that

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Speaker 2: he does. It. I would say, it's kind of like

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Speaker 2: moving openly in the shadows in some weird way.

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Speaker 3: Yeah.

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Speaker 4: And a level of power and influence that he wields

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Speaker 4: kind of puts him in the category of like a

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Speaker 4: kingmaker type dude who maybe doesn't want to be king himself,

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Speaker 4: but is definitely pulling some strings and wielding that influence. Yeah.

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Speaker 3: Again, a political whispering power behind the throne. And shout

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Speaker 3: out to all of us who immediately thought about the

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Speaker 3: infamous meeting at Sea Island in the early nineteen hundreds,

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Speaker 3: I want to say nineteen thirteen anyway, tonight.

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Speaker 4: I mean the one Peter Field traveled back in time

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Speaker 4: to do Wait.

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Speaker 3: Sorry, well wait what that was marked private? Okay, God,

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Speaker 3: I gotta get is textbook.

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Speaker 2: Is this similar to the Jacal Island thing and the

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Speaker 2: creature from.

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Speaker 3: That's the one? Yeah, And tonight we are exploring a

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Speaker 3: series of secret meetings. We're also investigating, with your help, folks,

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Speaker 3: another part of the Peter Teel mythos, the mysterious company

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Speaker 3: known as Palenteer to You, to you to tier single tier.

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Speaker 5: Oh my gosh, here are the facts, all right, quick

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Speaker 5: origin story.

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Speaker 3: Go to the website, folks. Palenteer is loosely and diplomatically

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Speaker 3: put a data analytics company, Big Air quotes on that

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Speaker 3: data analytics their website. If you go there now, which

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Speaker 3: we have, you will see the creed and the motto

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Speaker 3: that is front and set on the landing page. It

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Speaker 3: reads AI powered Automation for every decision. I love that phrase.

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Speaker 3: It feels vague and ambitious, and it also is exactly

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Speaker 3: what shareholders love to hear in meetings.

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Speaker 4: M and then in parentheses below the fold, it says,

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Speaker 4: be evil, right right.

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Speaker 2: Be powerful? Maybe sure see everything, know your enemy.

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Speaker 3: And know your enemy, and know your customers right and

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Speaker 3: maybe share with your customers.

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Speaker 2: Who are also your enemies.

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Speaker 3: Right right. So Palladeer is founded in Silicon Valley in

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Speaker 3: two thousand and three, as we said earlier, really gets

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Speaker 3: off the ground in about two thousand and four. The

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Speaker 3: original co founders, right like our founding fathers of Palla Andeer,

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Speaker 3: are not just Peter Tiel. They're also Stephen Cohen, a

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Speaker 3: guy named Alex Karp Karp who is the current and CEO,

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Speaker 3: Joe Lonsdale not to be confused with the awesome horror

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Speaker 3: writer Joe Lansdale, and a guy named Nathan gettings. They

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Speaker 3: leveraged initial investment money from all kinds of shady places,

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Speaker 3: one of which we'll explore further, a little outfit named

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Speaker 3: in qtel, which is the proxy venture capital group of

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Speaker 3: the United States Central Intelligence Agency.

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Speaker 2: And that fact is an acknowledged thing. That's not I

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Speaker 2: remember when we first talked about in QTEL on this

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Speaker 2: show long long, long ago, we posited it more as

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Speaker 2: a in qtel seems to have in a relationship with

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Speaker 2: the CIA. It seems to have an intelligence connection in

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Speaker 2: there somewhere. But now if you look at stuff that's

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Speaker 2: being written by CNBC in twenty sixteen, they just refer

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Speaker 2: to in qtel as the CIA's venture arm, which is

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Speaker 2: crazy to me.

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Speaker 3: We did strive to be quite objective and fair, and

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Speaker 3: it's true in q tel, I in dash q dash

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Speaker 3: Tel is very much an arm of the CIA, and

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Speaker 3: they invest in so many interesting technological initiatives, right, Palenteer

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Speaker 3: is one of their crown jewels. Now, the official story

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Speaker 3: from Pallenteer sounds again inspiring, but not a little bit

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Speaker 3: non specific. They say things like if you go to

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Speaker 3: there about us page, and we've been all around this website.

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Speaker 3: They say, if you looked at available technology, you see

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Speaker 3: products that are too rigid to handle novel problems. You

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Speaker 3: see custom systems that take too long to deploy and

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Speaker 3: require too many services to maintain and improve. So here

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Speaker 3: wants to be your one stop shop for nimble data aggregation,

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Speaker 3: synthesis and conclusion making.

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Speaker 4: The everything app every I know that's a different one.

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Speaker 4: Doesn't in qtel sound just like have the ring of

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Speaker 4: a cia op.

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Speaker 3: Yeah, especially with the.

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Speaker 2: Big time Yeah weird the dashes. It just makes it

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Speaker 2: difficult to search for nowadays a little easier you just

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Speaker 2: put spaces. But if you want to learn the entire

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Speaker 2: portfolio of in qtel, at least the stuff that is acknowledged,

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Speaker 2: you can head to iqt dot org slash portfolio and

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Speaker 2: you can see the eight hundred plus total investments that

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Speaker 2: are currently out there, including star Cloud and Vast and

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Speaker 2: bit biome and edge Cortex names.

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Speaker 3: Yeah, well we uh, we found it. I found it, guys.

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Speaker 3: It was back in twenty twenty one. We have the

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Speaker 3: episode on in qtel and unfortunately it has aged very well,

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Speaker 3: like a fine wine and can you tell they've got

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Speaker 3: their fingers in a lot of pies and Peter to

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Speaker 3: your point, no earlier. Peter t is, if anything, a

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Speaker 3: voracious reader. He has been called the philosopher King of

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Speaker 3: Silicon Valley, the same way that Palenteer has been called

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Speaker 3: the Killer app given their operations with Asama bin Laden.

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Speaker 3: So Peter did a thing we like to roast lightly

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Speaker 3: every time it comes up. He's yet another technogarch who

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Speaker 3: has named a company after something bad in fantasy and

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Speaker 3: sci fi. Pallenteer is the word for the seen Stone

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Speaker 3: in the world of Token like the it's we all

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Speaker 3: remember these, We've all seen Lord of the Rings adaptations

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Speaker 3: or hopefully read the novels.

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Speaker 4: It's you that I remember the Seeing Stones, Ben. Maybe

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Speaker 4: that was a plot point that I glossed over, But

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Speaker 4: I do love your point though about like all these

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Speaker 4: technocrats kind of missing the point of a lot of

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Speaker 4: like dystopian sci fi and just like naming their whole

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Speaker 4: thing after it, Like, no, that's what we want. That's great.

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Speaker 4: So tell us about the Seeing Stones.

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Speaker 3: Oh, yes, so these are in the Tolkien universe. These

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Speaker 3: are magic scrine artifacts crystal balls, but like dark crystal

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Speaker 3: balls that give the user or the participant clairvoyant visions

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Speaker 3: while also the entire time exposing their personal data and

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Speaker 3: information to the insidious, corrupting influence of that universe's big

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Speaker 3: bad A guy named sawrod.

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Speaker 4: Oh absolutely thinks he's the all seeing I am the

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Speaker 4: corruptibility of Yes, I love that fact.

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Speaker 3: That's so funny.

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Speaker 4: Is this what you want to shoot for? I'm sorry, Matt,

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Speaker 4: it blows my mind.

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Speaker 2: Oh you're okay. You'll probably remember a scene where not

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Speaker 2: sourn but he's up in one of his towers and

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Speaker 2: he goes this thing and he makes then there's a

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Speaker 2: crystal balls that's.

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Speaker 4: The Valenteer and Volenteer and he's also there's an interesting

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Speaker 4: analog there, at least in the well in the novels,

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Speaker 4: I want to say, but in the film adaptations as well,

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Speaker 4: there's this drug addiction analog because sorrow Man, like so

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Speaker 4: many other people who end up using the Palenteer, they

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Speaker 4: cannot get away from it. What's the same as the

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Speaker 4: corrupting power of the ring like on Gullum, you know,

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Speaker 4: becomes basically like a withered junkie. I mean, it's it's

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Speaker 4: that's absolutely an analog that I think that Tolkien certainly

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Speaker 4: had in mind. I just can't get over the optics

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Speaker 4: of this and knowing most people are not going to

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Speaker 4: make this connection. Not that people aren't, like, you know,

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Speaker 4: readers or whatever. But I'm a huge Lord of the

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Speaker 4: Rings fan, and I didn't really clock that that's what

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Speaker 4: that thing was called. But that is so sinister.

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Speaker 3: It's a little bit it's on the wrong nose. We

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Speaker 3: we know also, uh, since Pete is again just a

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Speaker 3: consummate reader and philosopher, we know that he's definitely a

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Speaker 3: fanboy of Tolkien because uh, the pall Andeer office locations

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Speaker 3: have also paid homage to that work. They're named after

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Speaker 3: things from Tolkien's universe. You've got. The Palo Alto office

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Speaker 3: was called the Shire, the McLean, Virginia office was called Rivendale,

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Speaker 3: and then the Washington d C. Office was called ministeriif that's.

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Speaker 4: The bad one though, right, isn't minister with the bad one?

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Speaker 3: There's no Mordor yet.

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Speaker 4: But minister isn't that like a seat of some of

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Speaker 4: the baddies.

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Speaker 3: In the MINISTERI is an interesting choice because minister Earth

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Speaker 3: is the fortress city of the Last Stand. Without spoiling Oh.

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Speaker 4: Okay, I made a mistake. Sorry, you know, it's just

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Speaker 4: interesting that. I mean, I think that's why I find

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Speaker 4: him to be such a confounding character because his whole

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Speaker 4: antichrist rhetoric and all of this philosophy stuff. You'd think

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Speaker 4: he'd be one of the gazillionaires that comes down on

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Speaker 4: the right side of history and that has his head

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Speaker 4: wrapped around, you know, logical use of this kind of

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Speaker 4: technology and being some sort of futurist like in a

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Speaker 4: positive way. But it sure doesn't seem that way. And

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Speaker 4: I just got to wonder, is it that corrupting power

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Speaker 4: of of that level of wealth and influence?

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Speaker 3: Like what is the ballotier? Also? What a shout? That's

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Speaker 3: a great question. What a sholl you out there, matt

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Speaker 3: Uh think of Ministerereth as Minister eth is to Gondor,

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Speaker 3: as Atlanta is to Georgia. It's sort of the capital

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Speaker 3: city of a larger place.

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Speaker 2: Washington, d C.

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Speaker 4: Right, which is short?

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Speaker 2: Isn't that what we said?

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Speaker 3: Yeah, last stand of the whites.

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Speaker 2: I have to in some way imagine folks like Peter

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Speaker 2: Teel and even Alex Karp that we've mentioned before on

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Speaker 2: the show. Who is He is recognized by a lot

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Speaker 2: of people writing opinion pieces in places like The Guardian

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Speaker 2: as one of the literally quote scariest CEOs in existence

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Speaker 2: because of some of the things he will let slip

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Speaker 2: publicly during a meeting like a shareholder meeting or a

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Speaker 2: big interview, just things that point to someone who really

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Speaker 2: likes the power of both the technology and the position.

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Speaker 2: And that's nothing.

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Speaker 3: You know.

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Speaker 2: The reason why I'm talking about this is because at

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Speaker 2: some point in the early two thousands, Alex and Joe

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Speaker 2: and Peter, they're all just college student right at Stanford,

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Speaker 2: and they they love things like the Lord of the Rings.

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Speaker 2: They love these you know, you can just see these guys,

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Speaker 2: right if we were making a biopic or something.

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Speaker 4: Probably played D and D. You know, gotta imagine.

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Speaker 2: But then there is something that has a pull on them,

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Speaker 2: like the Palenteer, right, that becomes this source of power

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Speaker 2: that then I have to imagine, you seek and you

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Speaker 2: almost get addicted to and you have to serve it.

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Speaker 3: Yeah, and again, I think that Surman analogy holds at

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Speaker 3: least in the film adaptations. And I appreciate that observation

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Speaker 3: because Palenteer, folks, it sees itself as taking some of

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Speaker 3: the same strategies of PayPal, which Pete also co founded,

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Speaker 3: and deploying them in different ways. So they say we

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Speaker 3: are going to They say, hey, customers, we'll get to

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Speaker 3: the customers in a second. They say, we're going to

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Speaker 3: avoid automated approaches that have failed against adaptive ADA for series.

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Speaker 3: We're going to avoid controls that force organizations to make

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Speaker 3: unacceptable trade offs between collaboration and securing sensitive data from misuse.

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Speaker 3: That's not going to be the concern of a typical

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Speaker 3: software customer who's like an individual graphic design freelancer, or

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Speaker 3: someone who just needs some help on spreadsheets. Palenteer is

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Speaker 3: growing past its bridges and all these vague all these

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Speaker 3: vague proclamations. Are they smoking mirrors? Are they sound and

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Speaker 3: fury signify nothing? This sounds great sure in a board room,

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Speaker 3: but it doesn't articulate exactly what Palenteer does. To understand that,

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Speaker 3: I propose we have to look at their customers. Their

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Speaker 3: customers are not individuals. Typically, their organizations like the NSA,

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Speaker 3: the IRS shout out to you guys, be nice on

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Speaker 3: my tax return, the FBI, the CIA, law enforcement, other

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Speaker 3: militaries from around the world, counter terrorism agencies. Of course,

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Speaker 3: the CIA is an interesting customer because they used in

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Speaker 3: qtel to start Palenteer. It's just we're not lawyers, but

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Speaker 3: as far as a conflict of interest goes, this bears scrutiny.

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Speaker 2: So at the heart of Pallenteer, what it's really good

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Speaker 2: at doing is taking these giant data sets and securing them, right,

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Speaker 2: also connecting them. That's why the FBI and the CIA

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Speaker 2: were so important early on, because Palenteer connected giant databases

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Speaker 2: from both of those intelligence arms. And then now both

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Speaker 2: sides can see what's going on. Right now there's a

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Speaker 2: single picture of what's happening inside and outside the US

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Speaker 2: from at least an intelligence standpoint. That's why the NSA

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Speaker 2: then gets fully involved in this thing, and then the

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Speaker 2: Defense Department.

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Speaker 3: Right.

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Speaker 2: So now it's all one big web of data that

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Speaker 2: is crunched and secured Bipalenteer.

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Speaker 3: Yeah, it makes it. Palenteer Software as service makes it

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Speaker 3: easier for you, a government agency, to aggregate, course, and

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Speaker 3: mind all these massive sets of data. You can turn

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Speaker 3: these quagmires of information into objectively like neat visualized maps,

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Speaker 3: little histograms, little charts of links, and the way it

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Speaker 3: typically works from what we the public understand is you

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Speaker 3: have a contract with Palenteer, right, your insert government agency here,

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Speaker 3: and they have what they call forward deployed engineers. So

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Speaker 3: though they'll shoot in a couple of boffins, and you

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Speaker 3: give them enough time under the hood of a data

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Speaker 3: set or a link or like a linked web of

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Speaker 3: data sets, they can hoover up all sorts of little

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Speaker 3: scraps of data that otherwise wouldn't be important, and then

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Speaker 3: from there they can give you insight on everything from

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Speaker 3: disaster relief to human trafficking to terrorism. It's the perfect

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Speaker 3: mix of surveillance, big data, and big government. It gets

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Speaker 3: pretty close to actual sci Fi level pre crime, for

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Speaker 3: better or worse. We do have to say that Palliateer

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Speaker 3: seems to have successfully helped with some good things.

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Speaker 2: Yeah, like immigration and customs enforcement.

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Speaker 3: No, I don't count that, as he said sarcastically.

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Speaker 4: As hell, Yeah, I mean, I mean we could see

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Speaker 4: how this kind of tech could be, you know, used

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Speaker 4: to help in positive ways. Certainly, the question just then

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Speaker 4: becomes like it's so adaptable, and when you throw it

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Speaker 4: out there and make it available to anyone who can pay, uh,

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Speaker 4: you are not necessarily going to get the best most

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Speaker 4: you know, humanitarian uses of it.

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Speaker 3: Yeah, it gets so much worse than that too. We

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Speaker 3: know that like a quick rundown of good things. US

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Speaker 3: marines have used Pallunteer products in Afghanistat, and through a

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Speaker 3: forensic analysis of roadside bombing locations, they were able to

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Speaker 3: predict insurgent attacks, which means that they saved lives. That

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Speaker 3: is in arguably a good thing. U Palenteer also notably

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Speaker 3: helped track down members of Mexican drug cartels who had

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Speaker 3: kidnapped and murdered some people. They also and I didn't

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Speaker 3: know this until We've been looking at Palenteer for a

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Speaker 3: long time. But guys, I didn't know this until research

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Speaker 3: chapter one of our series. Here, Pallenteer was able to

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Speaker 3: track down hackers who installed spywear on the Dalai Lama's computer.

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Speaker 3: You remember the Dalai Lama who.

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Speaker 4: Would do a thing like that. That guy's a saint.

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Speaker 4: I mean, he's the Dalai Lama.

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Speaker 3: He bit that kid's telling though that was weird. Oh no,

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Speaker 3: you're right.

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Speaker 4: Wait no, oh no, no one is.

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Speaker 2: But remember the Dahalai Lama is seen as one of

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Speaker 2: the primary enemies by other forces. Right, so in this case,

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Speaker 2: like something as simple as marines using this in Afghanistan

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Speaker 2: to like save lives of other marines right, or marines

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Speaker 2: or other human beings. That's an amazing thing that it

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Speaker 2: can do. But it is in support of a war zone, right,

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Speaker 2: and a part of a hot war where the US

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Speaker 2: invaded Afghanistan kind of under false pretenses because we know

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Speaker 2: now with all of this, all of this time passing

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Speaker 2: who we actually probably should have been invading if we

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Speaker 2: were actually responding to the nine to eleven attacks. And

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Speaker 2: Afghanistan didn't do it, didn't have anything to do it.

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Speaker 2: Neither int a rock. But you know, it's just one

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Speaker 2: of them. It's a weird thing because we're stuck inside

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Speaker 2: this weird spiraling loop of information, including what's good and

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Speaker 2: bad when it comes to military actions.

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Speaker 3: Yeah, well said, we know that. For instance, in a

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Speaker 3: book called The Finish by a guy named Mark Bowden

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Speaker 3: nis h so, no disrespect to our finn audience members,

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Speaker 3: Mark Bowden talks about Pallanteers software and the role it

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Speaker 3: played in the ultimate extraction and execution of Osama bin Laden.

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Speaker 3: This is what inspired him to say that Pallenteer deserves

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Speaker 3: the designation killer app. And there I pose a little

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Speaker 3: bit of question for anybody who hasn't read the book.

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Speaker 3: It's a great read, Uh, given that the CIA is

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Speaker 3: a primary customer of Palenteer, and given that the CIA

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Speaker 3: proxy funded the creation of Palenteer, didn't the CIA just

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Speaker 3: know where bin Laden was? Because of there? They went

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Speaker 3: behind the ISI, Pakistan's intelligence service. They went behind them

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Speaker 3: with the vaccination conspiracy. Can I say that on Netflix?

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Speaker 3: I think it's public truth? Now, I think, what do

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Speaker 3: you believe? Right?

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Speaker 2: There is no truth anymore? Do you believe that that's

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Speaker 2: actually what happened? That's what seems like happened, right, It's

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Speaker 2: just we're in this crazy spot now where it could

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Speaker 2: be that guys, could we.

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Speaker 4: Take a quick second, like, maybe I'm just a bonehead

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Speaker 4: about this, but I still have a little bit of

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Speaker 4: a hard time understanding what palin tier does.

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Speaker 3: Yeah, we're gonna get to Okay, Yes, I love that

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Speaker 3: question though, because this is the spoopy dupe part. These

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Speaker 3: examples we all named just show us that pallanteer can work.

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Speaker 3: In some cases. It can do positive things for the

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Speaker 3: world by aggregating massive amounts of data and finding the

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Speaker 3: needles in the haystack. Right, the actionable information we could

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Speaker 3: take let's say, millions of reports of and purportedly non

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Speaker 3: predictable event, and by building those all together and parsing

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Speaker 3: them through various algorithmic models, we can predict where the

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Speaker 3: next ordinarily non predictable thing would occur.

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Speaker 2: So the.

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Speaker 3: Marine attack example is fundamental for this. This is textbook

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Speaker 3: because it shows us that if you have enough information

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Speaker 3: and about the past and the present, you can get

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Speaker 3: very close to predicting the future, similar to Palenteer in Tolkien.

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Speaker 4: So I'm not alone in this, guys, and I don't

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Speaker 4: think any of us are. I just found an article

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Speaker 4: from Wired from back in August of twenty twenty five.

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Speaker 4: What does Palenteer actually do? Palenteer is often called a

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Speaker 4: data broker, a data minor, or a giant database of

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Speaker 4: personal information. In reality, it's none of these. But even

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Speaker 4: former employees struggle to explain it right right, and some

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Speaker 4: of them legally cadot due to NDA's I mean, they

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Speaker 4: had a couple good, good ones in this piece, and

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Speaker 4: we can maybe once we get a little further into

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Speaker 4: this next section, maybe I'll bring out a couple of

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Speaker 4: quotes from some of these former Palenteer staffers who did

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Speaker 4: speak to some of the stuff in this Wired article.

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Speaker 3: These do, and let's bring in some government officials as well.

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Speaker 2: Wait, is there a better definition of what it does?

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Speaker 2: That's what that type of definition about just a data

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Speaker 2: aggregate or the one that just stated they're like all

434
00:28:01,640 --> 00:28:05,280
Speaker 2: of those things. That's the only definition I've really seen.

435
00:28:05,480 --> 00:28:09,240
Speaker 4: Well, this one individual, I would say it. Well, I mean,

436
00:28:09,280 --> 00:28:11,640
Speaker 4: but that's the thing though we're speaking more conceptually. It's

437
00:28:11,640 --> 00:28:16,280
Speaker 4: a suite of tools. They have different software packages. I

438
00:28:16,280 --> 00:28:19,080
Speaker 4: guess one is called Gotham. There's another one called Foundry.

439
00:28:19,880 --> 00:28:24,080
Speaker 4: This former employee calls Foundry. This is from the Wired Piece,

440
00:28:24,119 --> 00:28:27,320
Speaker 4: one of Palenter's flagship software platforms, a collection of different

441
00:28:27,320 --> 00:28:31,640
Speaker 4: applications that customers use to operationalize data. A fourth ex

442
00:28:31,680 --> 00:28:35,040
Speaker 4: employee dubbed Foundry a supercharged filing cabinet.

443
00:28:35,280 --> 00:28:36,320
Speaker 3: While all of these.

444
00:28:36,119 --> 00:28:39,480
Speaker 4: Descriptions are technically accurate, they could also apply to products

445
00:28:39,520 --> 00:28:43,240
Speaker 4: from hundreds of other tech companies. So what sets Palenteer apart?

446
00:28:44,320 --> 00:28:47,320
Speaker 4: Part of the answer is, they say, is in Palenteer's

447
00:28:47,440 --> 00:28:52,600
Speaker 4: marketing strategy. So it's that killer app aspect of it,

448
00:28:52,640 --> 00:28:55,880
Speaker 4: they say, which recently began to use the tagline software

449
00:28:55,920 --> 00:28:59,640
Speaker 4: that dominates, which has cultivated this kind of mysterious public image,

450
00:28:59,720 --> 00:29:02,440
Speaker 4: a thing that they are very much doing on purpose,

451
00:29:03,120 --> 00:29:05,720
Speaker 4: They say, I'm then we'll move on. Palneer's main audience

452
00:29:05,760 --> 00:29:09,040
Speaker 4: is sprawling government agencies and Fortune five hundred companies. What

453
00:29:09,200 --> 00:29:11,680
Speaker 4: is ultimately selling them is not just software, but the

454
00:29:11,720 --> 00:29:15,920
Speaker 4: idea of a seamless, almost magical solution to complex problems.

455
00:29:16,080 --> 00:29:19,200
Speaker 4: To do that, Palenteer often uses the language and aesthetics

456
00:29:19,240 --> 00:29:24,000
Speaker 4: of warfare, painting itself as a powerful quasi military intelligence partner.

457
00:29:24,280 --> 00:29:27,640
Speaker 4: Palenteers here to disrupt and make the institutions. We partner

458
00:29:27,680 --> 00:29:29,400
Speaker 4: with the very best in the world.

459
00:29:29,560 --> 00:29:31,280
Speaker 3: Oh that's a quote for Malex Karp.

460
00:29:32,480 --> 00:29:33,160
Speaker 4: It sure is.

461
00:29:33,920 --> 00:29:39,840
Speaker 3: We also in response to that Wired article your quota there, Noul,

462
00:29:40,280 --> 00:29:43,160
Speaker 3: we know there's a problem here. There's a badger in

463
00:29:43,200 --> 00:29:47,160
Speaker 3: the bag because there are a handful sure of truly

464
00:29:47,320 --> 00:29:50,880
Speaker 3: gigantic tech companies. You got your Googles, your Metas, your Apples,

465
00:29:50,880 --> 00:29:55,080
Speaker 3: your Microsoft's, but there are also countless other tech companies

466
00:29:55,280 --> 00:29:59,760
Speaker 3: of old manner of size and expertise. Palateer is far

467
00:29:59,760 --> 00:30:03,240
Speaker 3: from the only horse in the game. You know what

468
00:30:03,280 --> 00:30:05,960
Speaker 3: I mean? This is not the only slice of pizza.

469
00:30:06,360 --> 00:30:10,800
Speaker 3: There are plenty of other companies that offer some aspect

470
00:30:11,080 --> 00:30:16,240
Speaker 3: or version of similar services. So the question becomes, why

471
00:30:16,440 --> 00:30:21,040
Speaker 3: are so many people focused on this company, this single

472
00:30:21,120 --> 00:30:27,400
Speaker 3: company in particular, It's because critics from across demographics, from

473
00:30:27,480 --> 00:30:33,840
Speaker 3: across skill sets, industries, countries, academic disciplines, they're all united

474
00:30:34,280 --> 00:30:39,000
Speaker 3: raising a clarion call warning about Palenteer, and they're saying,

475
00:30:39,080 --> 00:30:43,240
Speaker 3: don't fall for the feel good success. The AI surveillance

476
00:30:43,320 --> 00:30:47,680
Speaker 3: state is almost here and Palenteer is building it.

477
00:30:48,080 --> 00:30:50,560
Speaker 4: And Ben one last thing from this Wired piece there

478
00:30:50,720 --> 00:30:54,000
Speaker 4: it mentions an open letter that was signed by numerous

479
00:30:54,080 --> 00:31:00,160
Speaker 4: Expalenteer employees talking about the irresponsible nature of aligning with

480
00:31:00,480 --> 00:31:04,479
Speaker 4: an administration like the Trump administration and how they are

481
00:31:04,600 --> 00:31:10,080
Speaker 4: essentially being complicit in furthering authoritarianism.

482
00:31:10,200 --> 00:31:14,920
Speaker 3: Let's phrase that question for you, folks. Is Pallunteer helping

483
00:31:15,040 --> 00:31:26,040
Speaker 3: with efficiency or is it building a police state? Here's

484
00:31:26,240 --> 00:31:30,280
Speaker 3: where it gets crazy. True story. This is crazy stuff.

485
00:31:30,360 --> 00:31:31,880
Speaker 3: Do you guys remember Robert Reich.

486
00:31:32,720 --> 00:31:34,360
Speaker 4: Yeah, I've been a fan of him for a long time.

487
00:31:34,440 --> 00:31:35,400
Speaker 4: Really thoughtful dude.

488
00:31:35,320 --> 00:31:38,360
Speaker 3: And I want to shout out his son, Sam Reich,

489
00:31:38,600 --> 00:31:41,360
Speaker 3: who does one of my favorite comedy shows, Make Some

490
00:31:41,480 --> 00:31:47,600
Speaker 3: Noise no Way. Yeah, Yeah, it's so. Robert Reisch is

491
00:31:47,840 --> 00:31:51,760
Speaker 3: a thought leader in the United States. Not everybody agrees

492
00:31:51,800 --> 00:31:54,720
Speaker 3: with him, but back in December of twenty twenty five,

493
00:31:55,120 --> 00:31:58,680
Speaker 3: we're recording on February twenty seventh, twenty twenty six. By

494
00:31:58,720 --> 00:32:02,400
Speaker 3: the way, he is one of the many critics who

495
00:32:02,440 --> 00:32:07,720
Speaker 3: called Palenteer quote the most dangerous corporation in America that

496
00:32:07,920 --> 00:32:11,000
Speaker 3: most people have never heard of. And I had a

497
00:32:11,040 --> 00:32:14,720
Speaker 3: tough time with that because we are sort of bubbled

498
00:32:15,000 --> 00:32:19,560
Speaker 3: at our information here, friends and neighbors, fellow conspiracy realist,

499
00:32:20,200 --> 00:32:24,840
Speaker 3: because we clocked Pallenteer a while back. But I think

500
00:32:24,880 --> 00:32:27,080
Speaker 3: it is fair to say I think mister Reich is

501
00:32:27,120 --> 00:32:32,280
Speaker 3: not incorrect in that a lot of the average people

502
00:32:32,320 --> 00:32:35,560
Speaker 3: in the United States and abroad had never heard of

503
00:32:35,600 --> 00:32:40,640
Speaker 3: this company until s started to hit the f a

504
00:32:40,680 --> 00:32:41,480
Speaker 3: few years back.

505
00:32:41,640 --> 00:32:43,680
Speaker 4: Well, and I think the fact that it's so corporate

506
00:32:44,000 --> 00:32:49,040
Speaker 4: and government facing, it is not really a product for consumers,

507
00:32:49,560 --> 00:32:52,440
Speaker 4: so they're not marketing to consumers, and I don't know

508
00:32:52,480 --> 00:32:56,000
Speaker 4: how they're marketing. They certainly don't have like commercials or anything.

509
00:32:56,040 --> 00:32:57,840
Speaker 4: I mean, it is it is a little under the

510
00:32:57,880 --> 00:33:01,520
Speaker 4: radar in that respect. I accidentally bought some Palenteer stock

511
00:33:02,040 --> 00:33:04,880
Speaker 4: a while back. I was recommended to me. Someone said

512
00:33:04,880 --> 00:33:07,080
Speaker 4: it was just like a tech stock that was good,

513
00:33:07,320 --> 00:33:09,840
Speaker 4: and I bought some and it did, it did really well,

514
00:33:09,920 --> 00:33:12,640
Speaker 4: and then I realized that it was absolutely evil and

515
00:33:12,680 --> 00:33:14,600
Speaker 4: I got rid of it immediately. But when did you

516
00:33:14,640 --> 00:33:17,360
Speaker 4: buy it? It was a couple a couple of years ago.

517
00:33:17,560 --> 00:33:20,720
Speaker 3: Okay, Okay, that'll come into play later. And I love

518
00:33:20,760 --> 00:33:24,200
Speaker 3: that you're planting the seed here, so I would pause it.

519
00:33:24,760 --> 00:33:29,080
Speaker 3: Folks that the problem with Palenteer starts with these vaunted

520
00:33:29,400 --> 00:33:33,880
Speaker 3: data sets. And many of these data sets Palenteers not

521
00:33:34,040 --> 00:33:39,280
Speaker 3: creating them, necessarily Palenteers organizing them and hoarding them like

522
00:33:39,440 --> 00:33:49,200
Speaker 3: smoug you know, treasure. So vallunteer their customers, these large

523
00:33:49,200 --> 00:33:52,920
Speaker 3: government agencies and military outfits, they already possess a lot

524
00:33:52,920 --> 00:33:57,240
Speaker 3: of information on mass. We're talking your social media profile,

525
00:33:57,360 --> 00:34:02,240
Speaker 3: your bank account records, your tax history, medical history, driving records,

526
00:34:02,480 --> 00:34:06,840
Speaker 3: location data, maybe even those late night phone texts and

527
00:34:07,000 --> 00:34:10,000
Speaker 3: dms where you probably shouldn't have slid in, but you did.

528
00:34:10,320 --> 00:34:15,040
Speaker 3: You up, you up, says Palaenteer, because we know where

529
00:34:15,080 --> 00:34:18,440
Speaker 3: you're going to be in twenty minutes. Like, really, guys,

530
00:34:18,520 --> 00:34:22,640
Speaker 3: it's any trace of you that would be publicly available

531
00:34:23,239 --> 00:34:28,160
Speaker 3: or already in the possession of a government agency that

532
00:34:28,239 --> 00:34:32,360
Speaker 3: became one of Pallenteer's clients. So it's best to assume

533
00:34:32,480 --> 00:34:35,959
Speaker 3: we are talking about everything I would say. I hope

534
00:34:35,960 --> 00:34:39,400
Speaker 3: I don't sound too paranoid. It includes the stuff you

535
00:34:39,440 --> 00:34:41,640
Speaker 3: would ordinarily assume was private.

536
00:34:42,040 --> 00:34:45,800
Speaker 4: With that include. So another misconception I think the Palenteer

537
00:34:45,840 --> 00:34:52,200
Speaker 4: themselves try to combat in PR type statements is that

538
00:34:52,239 --> 00:34:55,920
Speaker 4: they are data brokers. They're not data brokers, but they

539
00:34:55,960 --> 00:35:00,279
Speaker 4: probably interface with stuff that other data brokers possess.

540
00:35:00,280 --> 00:35:04,600
Speaker 3: One hundred percent, right, Yeah, They're not one of those

541
00:35:04,960 --> 00:35:09,560
Speaker 3: sketchy third parties selling your data. They're one of those

542
00:35:09,640 --> 00:35:13,960
Speaker 3: sketchy third parties that gets your data and is paid

543
00:35:14,040 --> 00:35:16,000
Speaker 3: to look at it in depth.

544
00:35:15,880 --> 00:35:19,520
Speaker 4: And aggregates it and then uses it as another bit

545
00:35:19,600 --> 00:35:23,880
Speaker 4: of intel that they can then feed into this whole system.

546
00:35:24,400 --> 00:35:29,200
Speaker 4: So essentially, I'm they're just like the ultimate iosauron.

547
00:35:29,040 --> 00:35:33,320
Speaker 3: Wondering to rule them all, my boys, we also know. Okay,

548
00:35:33,360 --> 00:35:38,200
Speaker 3: So a lot of their customers are government funded entities,

549
00:35:38,600 --> 00:35:43,800
Speaker 3: which logically means if you pay taxes in the United

550
00:35:43,800 --> 00:35:49,360
Speaker 3: States in any way, you are supporting Palenteer, even though

551
00:35:49,520 --> 00:35:52,960
Speaker 3: the stuff that Palenteer is doing could one day be

552
00:35:53,160 --> 00:35:58,000
Speaker 3: used directly against you without you breaking a law.

553
00:35:58,360 --> 00:36:01,200
Speaker 2: I want to bring in just in focus even further

554
00:36:01,560 --> 00:36:04,560
Speaker 2: what Palenteer is. And I think the mention of Robert

555
00:36:04,560 --> 00:36:08,439
Speaker 2: Reich here and his words about Pallenteer, I think are

556
00:36:08,800 --> 00:36:11,719
Speaker 2: probably some of the best we've got going. If you

557
00:36:11,800 --> 00:36:14,520
Speaker 2: go to an opinion piece he wrote for The Guardian

558
00:36:14,680 --> 00:36:18,040
Speaker 2: in June of twenty twenty five. This is just going

559
00:36:18,080 --> 00:36:19,680
Speaker 2: to take a second, guys, but I think this makes

560
00:36:19,760 --> 00:36:22,520
Speaker 2: it makes sense to me if I hear it this way.

561
00:36:23,040 --> 00:36:26,040
Speaker 2: Robert says, draw circle around all the assets in the

562
00:36:26,160 --> 00:36:30,080
Speaker 2: US now devoted to AI. Okay, imagine we've drawing a

563
00:36:30,080 --> 00:36:33,000
Speaker 2: circle around that. Draw second circle around all the assets

564
00:36:33,040 --> 00:36:36,359
Speaker 2: devoted to the US military, all of them. Draw third

565
00:36:36,400 --> 00:36:39,040
Speaker 2: around all the assets being devoted to helping the current

566
00:36:39,440 --> 00:36:44,120
Speaker 2: administration collect and compile personal information on millions of Americans.

567
00:36:44,680 --> 00:36:47,880
Speaker 2: And a fourth circle around the parts of Silicon Valley

568
00:36:47,960 --> 00:36:51,640
Speaker 2: dedicated to turning the US away from democracy and into

569
00:36:52,160 --> 00:36:56,920
Speaker 2: some kind of technocracy. And those four circles all intersect

570
00:36:57,480 --> 00:37:00,360
Speaker 2: directly on Pallenteer technologies.

571
00:37:00,480 --> 00:37:02,920
Speaker 3: And they have a lot of fans in the holes

572
00:37:02,960 --> 00:37:07,359
Speaker 3: of government. You know, their advisors are political powerhouses like

573
00:37:07,520 --> 00:37:12,840
Speaker 3: Hondaalisa Rice from earlier guide. Yeah, Kandi a guy named

574
00:37:12,920 --> 00:37:17,600
Speaker 3: George who used to direct the CIA and hasn't told

575
00:37:17,640 --> 00:37:21,160
Speaker 3: me much about aliens, but anyway, George is a big

576
00:37:21,200 --> 00:37:26,120
Speaker 3: time company champion for Pallenteer. He famously said, I wish

577
00:37:26,200 --> 00:37:28,640
Speaker 3: we had a tool of this power in the lead

578
00:37:28,760 --> 00:37:32,480
Speaker 3: up to the September eleventh attacks of two thousand and one.

579
00:37:32,760 --> 00:37:37,840
Speaker 3: So from a lot of government agency perspectives, Pallenteer is

580
00:37:38,040 --> 00:37:44,120
Speaker 3: understandably a godsend. Even the most effective US agencies you

581
00:37:44,200 --> 00:37:48,960
Speaker 3: can imagine, folks, they struggle with efficiency due to their size.

582
00:37:49,440 --> 00:37:55,040
Speaker 3: They have too much information for human analysts to really

583
00:37:55,040 --> 00:37:58,440
Speaker 3: get their heads around. And if we're being honest, having

584
00:37:58,560 --> 00:38:01,400
Speaker 3: all the information in the world, it's going to be

585
00:38:01,400 --> 00:38:04,440
Speaker 3: as useless as a screen door on a submarine or

586
00:38:04,480 --> 00:38:07,640
Speaker 3: an ejector seat on a helicopter if you don't know

587
00:38:07,640 --> 00:38:12,320
Speaker 3: what that data means, right Like, if you know something

588
00:38:12,640 --> 00:38:17,359
Speaker 3: happens every Thursday at three forty two pm, but you

589
00:38:17,840 --> 00:38:20,480
Speaker 3: can't figure out how to use that to say what

590
00:38:20,600 --> 00:38:24,359
Speaker 3: happens next Thursday at three forty two pm, then you're

591
00:38:24,520 --> 00:38:28,520
Speaker 3: just you know, you're sol That's why Palenteer is a

592
00:38:28,600 --> 00:38:32,080
Speaker 3: magic thing. As we've always said, on this show. More

593
00:38:32,080 --> 00:38:36,520
Speaker 3: and more often these years, breakthroughs in technology are creating

594
00:38:36,680 --> 00:38:42,279
Speaker 3: the supernatural folklooric abilities of old Palenteer can as if

595
00:38:42,320 --> 00:38:45,760
Speaker 3: by Arthur C. Clark level magic, it can turn weeks

596
00:38:45,880 --> 00:38:50,680
Speaker 3: or months of human analysis into an exercise of mere hours.

597
00:38:51,040 --> 00:38:55,000
Speaker 3: So if we're the irs or we're the CIA, that

598
00:38:55,160 --> 00:38:59,280
Speaker 3: is a phenomenal superpower that's crazy hard to walk away from.

599
00:38:59,400 --> 00:39:02,160
Speaker 3: Other age and Caesar doing it too. So do you

600
00:39:02,200 --> 00:39:06,120
Speaker 3: want to be like the kid who loses the musical

601
00:39:06,200 --> 00:39:09,000
Speaker 3: chairs of funding? Here you got a hotball?

602
00:39:09,040 --> 00:39:12,200
Speaker 4: I think so? Oh speaking of that, though, didn't Anthropic

603
00:39:12,920 --> 00:39:16,560
Speaker 4: turned down the ultimatum that they were given the final.

604
00:39:16,640 --> 00:39:21,080
Speaker 3: The ultimatum is for today as we are recording Friday,

605
00:39:21,160 --> 00:39:22,480
Speaker 3: February twenty seventh.

606
00:39:22,719 --> 00:39:25,600
Speaker 4: It was my understanding that the CEO was not going

607
00:39:25,640 --> 00:39:27,760
Speaker 4: to play ball, and I just thought it was really interesting.

608
00:39:28,280 --> 00:39:31,920
Speaker 4: The point being that they were the lone holdout that

609
00:39:32,040 --> 00:39:34,840
Speaker 4: all of the other this is the company that runs Clawed,

610
00:39:35,560 --> 00:39:38,400
Speaker 4: which is by some considered to be one of the

611
00:39:38,840 --> 00:39:45,239
Speaker 4: least terrifying AI assistants or whatever large language model type things.

612
00:39:45,600 --> 00:39:48,520
Speaker 4: But the point being that all of the other ones

613
00:39:48,640 --> 00:39:52,600
Speaker 4: were totally cool with this military use of their products.

614
00:39:53,239 --> 00:39:57,520
Speaker 4: If anything, they were clamoring to get those contracts and yes, please,

615
00:39:58,040 --> 00:40:00,560
Speaker 4: you know, take the guardrails right on off. I don't

616
00:40:00,560 --> 00:40:02,319
Speaker 4: mean to divert but I just think there's some of

617
00:40:02,360 --> 00:40:07,520
Speaker 4: that goes into this cozy relationship between Palenteer and the

618
00:40:07,560 --> 00:40:10,200
Speaker 4: government and the weaponization of tech like this.

619
00:40:10,440 --> 00:40:13,960
Speaker 3: Ooh cozy, yeah, I love that. It reminds me of

620
00:40:13,960 --> 00:40:20,040
Speaker 3: the Swedish concept of hema agmma, you know, cozy times.

621
00:40:20,120 --> 00:40:24,399
Speaker 3: Palenteer is pretty cozy with Uncle Sam. We can see

622
00:40:24,400 --> 00:40:25,160
Speaker 3: the logic here.

623
00:40:25,239 --> 00:40:25,480
Speaker 2: You know.

624
00:40:25,680 --> 00:40:30,520
Speaker 3: The issue is okay, so if I'm a government outfit,

625
00:40:31,040 --> 00:40:33,919
Speaker 3: then obviously I want to save some money. I want

626
00:40:33,920 --> 00:40:37,560
Speaker 3: to be better at my mission. The problem is Palenteer

627
00:40:37,800 --> 00:40:41,759
Speaker 3: does not stop there. It has met serious allegations that

628
00:40:41,840 --> 00:40:47,000
Speaker 3: it has been weaponized in the political climate, has been politicized,

629
00:40:47,080 --> 00:40:50,080
Speaker 3: it is being used in the creation of a terrifying,

630
00:40:50,239 --> 00:40:55,359
Speaker 3: severely undemocratic police state. To that point about coziness, it

631
00:40:55,440 --> 00:41:00,359
Speaker 3: does not help that Palaeer co founder and big fan

632
00:41:00,480 --> 00:41:04,560
Speaker 3: of the current administration, Peter Thiel, has been on record

633
00:41:04,840 --> 00:41:08,359
Speaker 3: multiple times, as we said in chapter one, about how

634
00:41:08,400 --> 00:41:12,840
Speaker 3: he thinks democracy is kind of crapp ola. He's famously written,

635
00:41:13,280 --> 00:41:17,320
Speaker 3: I no longer believe that freedom and democracy are compatible.

636
00:41:18,080 --> 00:41:19,920
Speaker 3: We talked about that in chapter one. What do you

637
00:41:19,920 --> 00:41:22,120
Speaker 3: guys think about that? That one still bothers me.

638
00:41:22,360 --> 00:41:27,200
Speaker 2: Freedom and democracy are definitely compatible. Freedom in whatever the

639
00:41:27,200 --> 00:41:29,839
Speaker 2: hell this thing is that we've entered into, those are

640
00:41:29,880 --> 00:41:30,600
Speaker 2: not compatible.

641
00:41:30,680 --> 00:41:32,880
Speaker 4: I would say, that's exactly right. Do you think the

642
00:41:32,960 --> 00:41:37,000
Speaker 4: libertarianism that he seems to espouse has anything to do

643
00:41:37,080 --> 00:41:38,960
Speaker 4: with this? Because I just don't think, you know, I mean,

644
00:41:39,440 --> 00:41:41,799
Speaker 4: you can be libertarian and also come off as being

645
00:41:41,880 --> 00:41:46,839
Speaker 4: quite right wing, but usually it's just someone that's all

646
00:41:46,840 --> 00:41:51,680
Speaker 4: about individual rights and like, you know, individual liberties and

647
00:41:51,800 --> 00:41:53,719
Speaker 4: small governments, right.

648
00:41:53,600 --> 00:41:57,840
Speaker 3: Right, Yeah, there's weird there's a weird question. Yeah, we

649
00:41:57,960 --> 00:42:01,600
Speaker 3: have to ask Pete about how he would define freedom

650
00:42:01,800 --> 00:42:05,800
Speaker 3: and how he would define democracy, because it's quite possible

651
00:42:05,880 --> 00:42:09,560
Speaker 3: that he has two very different interpretations than those of

652
00:42:09,600 --> 00:42:13,120
Speaker 3: the average member of the public. And look, we got

653
00:42:13,160 --> 00:42:18,000
Speaker 3: to be fair. CEOs, the c suite types, the presidents

654
00:42:18,080 --> 00:42:21,680
Speaker 3: and the poubas and so on, they're people like anyone

655
00:42:21,680 --> 00:42:25,000
Speaker 3: else for now. So it is not in common for

656
00:42:25,120 --> 00:42:28,320
Speaker 3: one of these individuals to say something off the cuff

657
00:42:28,840 --> 00:42:33,480
Speaker 3: that neither reflects nor influences the value of the actual

658
00:42:33,600 --> 00:42:37,200
Speaker 3: company right doesn't push its actions. You could say, like

659
00:42:37,840 --> 00:42:41,120
Speaker 3: Ben and Jerry's ice cream. What if one day Ben

660
00:42:42,000 --> 00:42:45,160
Speaker 3: came out and said, I think the Welsh are bad

661
00:42:45,600 --> 00:42:49,520
Speaker 3: and we should round up all left handed people. Some

662
00:42:49,560 --> 00:42:52,200
Speaker 3: folks with boycott, but most people would still keep buying

663
00:42:52,200 --> 00:42:53,200
Speaker 3: their favorite ice cream.

664
00:42:53,320 --> 00:42:55,640
Speaker 4: Dan and Jerry's did do something kind of offensive, didn't

665
00:42:55,640 --> 00:43:00,400
Speaker 4: they Google Search?

666
00:43:02,080 --> 00:43:04,960
Speaker 3: That's why they're an apropos example. But I mean, in

667
00:43:05,000 --> 00:43:09,920
Speaker 3: this case specifically, it does feel like a fell wind,

668
00:43:10,840 --> 00:43:13,960
Speaker 3: something bad on the wind for the head of such

669
00:43:14,000 --> 00:43:19,879
Speaker 3: a successful company working so deeply with a theoretical democracy

670
00:43:20,239 --> 00:43:24,200
Speaker 3: to come out on multiple occasions and say, hey, guys,

671
00:43:24,640 --> 00:43:27,759
Speaker 3: by the way, democracy sucks, you know what I mean.

672
00:43:28,000 --> 00:43:30,839
Speaker 4: It's funny though, guys, I think you've probably seen this too.

673
00:43:30,920 --> 00:43:35,560
Speaker 4: A lot of these maga folks, and even you know,

674
00:43:35,640 --> 00:43:39,040
Speaker 4: folks that are pretty red pilled in the respect of

675
00:43:39,080 --> 00:43:41,280
Speaker 4: going so far as even being into QAnon type stuff,

676
00:43:42,120 --> 00:43:45,400
Speaker 4: they seem to openly talk about how they don't like democracy.

677
00:43:45,440 --> 00:43:50,960
Speaker 4: Oh yeah, increasingly, I don't understand. I what's not to like?

678
00:43:51,120 --> 00:43:53,640
Speaker 4: What's the alternative? I mean, we know it's we always

679
00:43:53,640 --> 00:43:56,799
Speaker 4: say it's the worst system of government aside from all

680
00:43:56,800 --> 00:43:59,960
Speaker 4: the other ones whatever. But in theory seems great.

681
00:44:00,600 --> 00:44:04,520
Speaker 3: Yeah, theory, it seems great, so long as the legislation

682
00:44:04,719 --> 00:44:09,239
Speaker 3: can keep pace with the technological innovations. I mean, there's

683
00:44:09,280 --> 00:44:12,920
Speaker 3: another thing. Okay, Matt, let's go back to Nol on

684
00:44:13,080 --> 00:44:16,400
Speaker 3: this one. Nol, you said you bought your Palaeer stock

685
00:44:17,120 --> 00:44:20,120
Speaker 3: a few years ago. Was that around twenty twenty four?

686
00:44:20,360 --> 00:44:22,120
Speaker 4: It probably was, I think one hundred percent.

687
00:44:22,120 --> 00:44:25,719
Speaker 3: It was, Okay, because this is interesting, going to our

688
00:44:25,880 --> 00:44:31,600
Speaker 3: idea of coziness in Hemma. Pallenteer stock skyrocketed in the

689
00:44:31,640 --> 00:44:37,880
Speaker 3: wake of the recent US presidential election when current president

690
00:44:37,920 --> 00:44:41,759
Speaker 3: returning President Donald Trump won the election, carried the day

691
00:44:42,320 --> 00:44:46,600
Speaker 3: Pollenteer stock was absolutely awesome for anybody who owned a

692
00:44:46,640 --> 00:44:50,400
Speaker 3: little piece of the pie. And as we're recording right now,

693
00:44:50,560 --> 00:44:55,400
Speaker 3: I want to say at least seventeen maybe maybe eighteen

694
00:44:55,560 --> 00:45:00,480
Speaker 3: somewhere somewhere around there former or current employee ease of

695
00:45:00,560 --> 00:45:04,879
Speaker 3: Peter Thiel through Pallenteer one of his other operations, they

696
00:45:04,960 --> 00:45:09,800
Speaker 3: work at the highest level of government directly for this administration.

697
00:45:10,360 --> 00:45:16,800
Speaker 4: Zoikes. It's it's there's just no separation anymore, you know

698
00:45:16,840 --> 00:45:19,000
Speaker 4: what I mean. We've talked about the doze stuff with

699
00:45:19,760 --> 00:45:27,400
Speaker 4: a literal technocrat, billionaire entrepreneur single handedly personally handling stuff

700
00:45:27,400 --> 00:45:31,120
Speaker 4: that should be uh for elected officials. This is the

701
00:45:31,200 --> 00:45:33,799
Speaker 4: same thing. I mean, it's just I don't understand there's

702
00:45:33,960 --> 00:45:40,440
Speaker 4: such little separation now between the state and these private entities.

703
00:45:40,800 --> 00:45:44,440
Speaker 3: Well, we've always you know, you guys remember and uh

704
00:45:44,680 --> 00:45:48,520
Speaker 3: when we were all pitching ideas for the Constitution of

705
00:45:48,560 --> 00:45:51,440
Speaker 3: the United States, we said it was okay to have

706
00:45:51,520 --> 00:45:54,600
Speaker 3: separation of church and state. But as soon as someone

707
00:45:54,680 --> 00:46:00,680
Speaker 3: said what about separation of business and state, everybody was like, whoa, whoa.

708
00:46:00,760 --> 00:46:02,960
Speaker 4: I think it all goes back to citizens United guys.

709
00:46:03,200 --> 00:46:06,200
Speaker 4: I think it's further in terms of the ability to

710
00:46:06,280 --> 00:46:11,799
Speaker 4: blur that line through political action of corporations, essentially impacting

711
00:46:11,880 --> 00:46:14,960
Speaker 4: laws that make it easier for them to do these things.

712
00:46:15,200 --> 00:46:19,440
Speaker 2: I would agree that that is that is either the

713
00:46:19,560 --> 00:46:23,279
Speaker 2: damn breaking at least when it comes to the money influx, right,

714
00:46:23,520 --> 00:46:26,040
Speaker 2: or it's really close. But as Ben is saying that

715
00:46:26,480 --> 00:46:29,160
Speaker 2: there are cracks in that dam, since they built it,

716
00:46:29,280 --> 00:46:33,759
Speaker 2: likely purposely created cracks in the dam. Just enough water

717
00:46:33,880 --> 00:46:36,560
Speaker 2: can get through one day, will break one day.

718
00:46:36,600 --> 00:46:38,920
Speaker 3: I mean, think of the oss right.

719
00:46:38,920 --> 00:46:44,880
Speaker 2: Dude, Yes exactly. I keep thinking about uh and I

720
00:46:44,920 --> 00:46:49,120
Speaker 2: wish I could stop thinking about this freaking guy, Steve Feinberg,

721
00:46:49,760 --> 00:46:55,359
Speaker 2: who is the thirty sixth Deputy Secretary of Defense, which

722
00:46:55,440 --> 00:47:00,680
Speaker 2: is just he's heavily in the Epstein file. He's like

723
00:47:00,920 --> 00:47:03,200
Speaker 2: one of these people, one of these public figures that

724
00:47:03,320 --> 00:47:06,960
Speaker 2: should be disgraced and gone because of their involvement with

725
00:47:07,120 --> 00:47:10,719
Speaker 2: this cabal of you know, child sex trafficking. But he

726
00:47:10,920 --> 00:47:15,799
Speaker 2: is still the Deputy Secretary of Defense. And I mean,

727
00:47:16,000 --> 00:47:19,680
Speaker 2: I imagine when we're talking about infiltration of the Defense

728
00:47:19,719 --> 00:47:25,160
Speaker 2: Department and infiltration of military and whatever whichever branch we're

729
00:47:25,200 --> 00:47:29,800
Speaker 2: talking about, I just it freaks me out. The human individual,

730
00:47:29,880 --> 00:47:32,319
Speaker 2: human beings that could be in those positions, and then

731
00:47:32,320 --> 00:47:35,800
Speaker 2: the power that those positions now have because of tools

732
00:47:36,040 --> 00:47:37,760
Speaker 2: like the ones Palanteer.

733
00:47:37,440 --> 00:47:42,759
Speaker 3: Max and I am. I don't know if excited is

734
00:47:42,760 --> 00:47:46,520
Speaker 3: the right word, folks. I'm still learning English, as is

735
00:47:46,560 --> 00:47:51,640
Speaker 3: apparently should be obvious. But we have we have an

736
00:47:51,680 --> 00:47:55,319
Speaker 3: episode coming up in a few weeks called Epstein What

737
00:47:55,400 --> 00:47:58,440
Speaker 3: we Know so Far, And I guarantee you, no matter

738
00:47:58,600 --> 00:48:01,960
Speaker 3: what you have read, no matter what you think you heard,

739
00:48:03,040 --> 00:48:08,280
Speaker 3: we find even deeper dark revelations, and I'm so glad

740
00:48:08,320 --> 00:48:13,759
Speaker 3: you're mentioning the SEP deck there. We have also knowledge

741
00:48:14,520 --> 00:48:19,480
Speaker 3: to our earlier point that early in the current term,

742
00:48:19,719 --> 00:48:24,359
Speaker 3: the serving US President Donald Trump, right on his second term,

743
00:48:24,680 --> 00:48:30,120
Speaker 3: he signed an executive order that requires, doesn't ask, but

744
00:48:30,320 --> 00:48:35,560
Speaker 3: requires all these various government agencies to consolidate all their

745
00:48:35,719 --> 00:48:40,640
Speaker 3: information about you, no matter where you live, by the way,

746
00:48:41,000 --> 00:48:45,160
Speaker 3: into one giant database, one ring to rule them all.

747
00:48:45,600 --> 00:48:49,080
Speaker 3: It's never been done before. And how are we going

748
00:48:49,160 --> 00:48:52,200
Speaker 3: to get all this stuff together? Who wants to sit

749
00:48:52,280 --> 00:48:58,640
Speaker 3: around all weekend matching these spreadsheets Palenteer does. Palenteer wants

750
00:48:58,680 --> 00:49:02,080
Speaker 3: to use again to that like language description from Wired.

751
00:49:02,400 --> 00:49:06,359
Speaker 3: They want to use their forward deployed engineers to make

752
00:49:06,400 --> 00:49:12,839
Speaker 3: a huge win for America for Uncle Sam. It's technically yeah,

753
00:49:12,880 --> 00:49:15,480
Speaker 3: it's a huge win for the government agencies who work

754
00:49:15,560 --> 00:49:17,960
Speaker 3: with it. But we've got to give some space to

755
00:49:18,000 --> 00:49:23,680
Speaker 3: the critics. Wouldn't you be deeply concerned about what happens

756
00:49:23,719 --> 00:49:27,080
Speaker 3: with these mountains of government info when they get pulled together.

757
00:49:27,560 --> 00:49:30,080
Speaker 3: This is a good shtalt. It could be a tool

758
00:49:30,160 --> 00:49:35,160
Speaker 3: of tyranny. It's going to exist past the previous administrations.

759
00:49:35,560 --> 00:49:40,520
Speaker 3: It could be used to surveil, intimidate, and silence opposition.

760
00:49:40,680 --> 00:49:45,360
Speaker 3: It reminds me of guys. We're all fans of road trips.

761
00:49:46,640 --> 00:49:50,160
Speaker 3: I follow a lot of semi trucks because I love

762
00:49:50,280 --> 00:49:54,480
Speaker 3: trying to figure out what they're actually hauling. And I

763
00:49:54,840 --> 00:49:59,080
Speaker 3: had always been fascinated with an outfit called Iron Mountain.

764
00:49:59,280 --> 00:49:59,960
Speaker 3: Do you remember them?

765
00:50:00,360 --> 00:50:04,600
Speaker 2: M hm, yes, Ben, You just follow eighteen wheelers on

766
00:50:04,640 --> 00:50:05,080
Speaker 2: the highway.

767
00:50:05,120 --> 00:50:09,439
Speaker 3: Sometimes I'm aware of eighteen wheelers, Matt. I'll just say,

768
00:50:09,880 --> 00:50:10,800
Speaker 3: very aware of it.

769
00:50:10,880 --> 00:50:14,640
Speaker 2: Put a little Apple tracker on the back of following.

770
00:50:14,360 --> 00:50:16,360
Speaker 3: Over a couple of states for Apple.

771
00:50:16,480 --> 00:50:23,960
Speaker 4: Come on, it's called an air tag, Matt. If we're

772
00:50:23,960 --> 00:50:26,160
Speaker 4: being on Brandy right.

773
00:50:26,200 --> 00:50:30,400
Speaker 3: So if the thing is, if you have this massive

774
00:50:31,239 --> 00:50:33,080
Speaker 3: I don't want to call it a database. If you

775
00:50:33,120 --> 00:50:36,560
Speaker 3: have this trauh treasure trove, I almost call it a

776
00:50:36,640 --> 00:50:39,120
Speaker 3: Travis trove. I don't know who that is. But if

777
00:50:39,120 --> 00:50:43,399
Speaker 3: you had this treasure trove, then it's like having ownership

778
00:50:43,480 --> 00:50:48,880
Speaker 3: over a firearm, or indeed the ability to start fires.

779
00:50:49,400 --> 00:50:54,960
Speaker 3: This can circumvent the usual, if imperfect, expected rights of

780
00:50:55,080 --> 00:50:58,080
Speaker 3: citizens and residents. So what if we take a break

781
00:50:58,400 --> 00:51:02,560
Speaker 3: for a word from our sponsors and talk about like inspecific.

782
00:51:02,640 --> 00:51:05,080
Speaker 3: Let's get under the hood and look at some of

783
00:51:05,200 --> 00:51:16,479
Speaker 3: the controversial operations of Palenteer. We've returned. We'll talk about

784
00:51:16,480 --> 00:51:20,400
Speaker 3: the controversial stuff. Some people don't like when we mentioned this,

785
00:51:20,560 --> 00:51:24,439
Speaker 3: but it is the remit of our show. The US

786
00:51:24,560 --> 00:51:29,120
Speaker 3: public has a lot of to understate. It has a

787
00:51:29,160 --> 00:51:38,279
Speaker 3: lot of tension with ICE, Immigration's Customs Enforcement. ICE is

788
00:51:38,440 --> 00:51:43,360
Speaker 3: paying Palenteer something like thirty million dollars to build something

789
00:51:43,400 --> 00:51:48,200
Speaker 3: they call Immigration OS. It's a surveillance platform. ICE is

790
00:51:48,320 --> 00:51:51,680
Speaker 3: very happy about this. They say it gives near real

791
00:51:51,719 --> 00:51:57,279
Speaker 3: time visibility on people who are self deporting from the

792
00:51:57,440 --> 00:51:58,280
Speaker 3: United States.

793
00:51:58,719 --> 00:52:03,200
Speaker 4: Guys, have you seen the most recent Mission Impossible movies

794
00:52:03,800 --> 00:52:04,319
Speaker 4: Dead Reckon?

795
00:52:04,520 --> 00:52:06,240
Speaker 2: I'm not okay.

796
00:52:06,680 --> 00:52:08,359
Speaker 3: There's Ai mcguffin right.

797
00:52:08,440 --> 00:52:13,040
Speaker 4: There is an Ai mcguffin called The Entity, which so

798
00:52:13,360 --> 00:52:19,480
Speaker 4: very clearly is inspired by Palenteer, or the very least

799
00:52:19,600 --> 00:52:22,880
Speaker 4: the kind of thing that Palateer could be a proto

800
00:52:23,080 --> 00:52:27,320
Speaker 4: version of the origins of the Entity and the series.

801
00:52:27,800 --> 00:52:30,239
Speaker 4: It was designed by the United States government as an

802
00:52:30,280 --> 00:52:35,840
Speaker 4: advanced intelligence gathering tool. However, it became sentient and went rogue,

803
00:52:36,120 --> 00:52:40,920
Speaker 4: becoming a digital parasite that can do everything from deploy

804
00:52:41,040 --> 00:52:47,200
Speaker 4: nuclear weapons to do deep fakes and communicate with adversaries

805
00:52:47,320 --> 00:52:51,600
Speaker 4: and you know, and basically influence all kinds of global events.

806
00:52:52,360 --> 00:52:55,080
Speaker 4: It would seem to me that between something like this

807
00:52:55,200 --> 00:52:58,480
Speaker 4: and something like a Skynet kind of scenario, Palenteer is

808
00:52:58,560 --> 00:53:00,840
Speaker 4: sort of the proto version of a of the worst

809
00:53:00,880 --> 00:53:04,839
Speaker 4: possible end game AI results.

810
00:53:04,520 --> 00:53:08,600
Speaker 3: Very much so. The saddest part here, which maybe we

811
00:53:08,640 --> 00:53:12,800
Speaker 3: can wax philosophical about toward the end, The saddest part

812
00:53:12,920 --> 00:53:16,600
Speaker 3: is that something of this magnitude could be used to

813
00:53:16,640 --> 00:53:20,200
Speaker 3: make the world a better place. Imagine if you had

814
00:53:20,960 --> 00:53:25,960
Speaker 3: all the data on someone's medical information, but you didn't

815
00:53:26,080 --> 00:53:30,440
Speaker 3: use that to discriminate against them in privatize healthcare. You

816
00:53:30,600 --> 00:53:35,400
Speaker 3: instead were able to prevent them from getting cancer. You

817
00:53:35,440 --> 00:53:40,279
Speaker 3: were able to help address maybe a genetic issue that

818
00:53:40,400 --> 00:53:44,440
Speaker 3: was statistically inevitable. This stuff could be very good, but

819
00:53:44,600 --> 00:53:49,120
Speaker 3: society has not evolved to give it the opportunity to

820
00:53:49,160 --> 00:53:52,600
Speaker 3: be so. Like right now, right now, Uncle Sam is

821
00:53:52,719 --> 00:53:59,360
Speaker 3: using Palenteer to make ICE better at doing stuff the

822
00:53:59,440 --> 00:54:02,920
Speaker 3: American public hates ICE doing. And this is not a

823
00:54:03,040 --> 00:54:07,960
Speaker 3: new This is not new beings by any means. Palenteer

824
00:54:07,960 --> 00:54:12,239
Speaker 3: has been contracting with ICE since twenty eleven. This is

825
00:54:12,400 --> 00:54:16,480
Speaker 3: only a deepening or an escalation of that relationship.

826
00:54:16,880 --> 00:54:19,280
Speaker 2: And if you head to the Guardian, you can find

827
00:54:20,320 --> 00:54:23,319
Speaker 2: basically a review of a bunch of these Freedom of

828
00:54:23,320 --> 00:54:28,240
Speaker 2: Information Act requests put forward by Just Futures Law, where

829
00:54:28,560 --> 00:54:31,400
Speaker 2: they find a ton of documents. They don't go all

830
00:54:31,440 --> 00:54:33,600
Speaker 2: the way back to twenty eleven. Just in the documents

831
00:54:33,640 --> 00:54:36,320
Speaker 2: that I'm referencing here, they go just to twenty fourteen

832
00:54:36,960 --> 00:54:39,680
Speaker 2: and then all the way to twenty twenty two. And

833
00:54:39,719 --> 00:54:44,200
Speaker 2: that is basically Immigration's customs enforcement and Palaeer working together

834
00:54:44,640 --> 00:54:49,160
Speaker 2: with contracts. But it does show that Pallenteer and Ice

835
00:54:49,680 --> 00:54:53,640
Speaker 2: is not a Republican or a Democrat thing. Is It

836
00:54:53,719 --> 00:54:58,000
Speaker 2: is a government thing, right, both hands coming together to

837
00:54:58,080 --> 00:55:02,000
Speaker 2: grope all of America. I mean, that's just what it is.

838
00:55:02,200 --> 00:55:05,320
Speaker 4: Grope is a very very diplomatic way of putting. I

839
00:55:05,360 --> 00:55:06,720
Speaker 4: would say, more like fist.

840
00:55:06,880 --> 00:55:10,160
Speaker 3: Oh yeah, the Biden administration, to your point, Matt, was

841
00:55:10,239 --> 00:55:12,120
Speaker 3: all about this, to be clear, Oh.

842
00:55:12,040 --> 00:55:17,560
Speaker 2: Yeah, well and it's not the previous democratic president wasn't.

843
00:55:18,000 --> 00:55:20,799
Speaker 2: I mean, it's just talking about Obama here. Just there

844
00:55:20,880 --> 00:55:24,439
Speaker 2: was involvement across the board with this kind of thing.

845
00:55:24,640 --> 00:55:26,920
Speaker 4: Well, think about all the deportations that Obama did. I mean,

846
00:55:26,960 --> 00:55:29,200
Speaker 4: it just was a lot less bombastic and in your

847
00:55:29,239 --> 00:55:32,000
Speaker 4: face and on the news, But it wasn't like innocent

848
00:55:32,120 --> 00:55:34,040
Speaker 4: by any stretch of the imagination.

849
00:55:34,440 --> 00:55:37,839
Speaker 3: And then we have to again consider that perspective from

850
00:55:37,880 --> 00:55:44,080
Speaker 3: those previous administrations. What they're seeing is we don't know

851
00:55:44,200 --> 00:55:48,600
Speaker 3: the degree to which they said, hey, sci fi nerds

852
00:55:48,600 --> 00:55:51,480
Speaker 3: are going to predict an Orwellian police state. But we

853
00:55:51,600 --> 00:55:55,120
Speaker 3: do know for sure they said, look how much money

854
00:55:55,160 --> 00:55:58,120
Speaker 3: we can save on the bottom line, right if we

855
00:55:58,360 --> 00:56:03,520
Speaker 3: have a more stream lined operation. This this is okay, okay,

856
00:56:03,560 --> 00:56:06,640
Speaker 3: we got to say the full name of Immigration OS

857
00:56:06,880 --> 00:56:12,200
Speaker 3: it is Immigration life Cycle Operating System. So it'll fear

858
00:56:12,880 --> 00:56:16,120
Speaker 3: I know, I wish they would, but it will theoretically

859
00:56:16,320 --> 00:56:21,400
Speaker 3: make it much easier for ICE to track pretty much anyone.

860
00:56:21,640 --> 00:56:24,279
Speaker 3: That's what the headlines are missing. If we go back

861
00:56:24,320 --> 00:56:28,160
Speaker 3: to our friends have Wired, we'll see the three core

862
00:56:28,239 --> 00:56:35,160
Speaker 3: things are described as targeting and enforcement, prioritization, selecting, apprehending

863
00:56:36,280 --> 00:56:39,920
Speaker 3: people that they describe as illegal alien. So who do

864
00:56:39,960 --> 00:56:43,200
Speaker 3: we want to find? How do we most efficiently capture them?

865
00:56:43,280 --> 00:56:46,040
Speaker 4: Remember when it was shocking finding out that the government

866
00:56:46,160 --> 00:56:52,520
Speaker 4: was like analyzing our metadata you know how quaint. I mean,

867
00:56:52,640 --> 00:56:54,480
Speaker 4: it almost feels like none of this stuff required. I

868
00:56:54,480 --> 00:56:58,400
Speaker 4: mean again to the point of like technology outpacing legislation,

869
00:56:58,920 --> 00:57:01,440
Speaker 4: like warrants don't even enter into it anymore.

870
00:57:01,960 --> 00:57:02,560
Speaker 3: Not really.

871
00:57:02,719 --> 00:57:05,880
Speaker 4: Yeah, it's just out there and it's just like rife

872
00:57:05,880 --> 00:57:06,600
Speaker 4: for the scooping.

873
00:57:07,560 --> 00:57:12,680
Speaker 3: And then we've got that second core function, self deportation tracking.

874
00:57:13,040 --> 00:57:16,320
Speaker 3: That's that near real time visibility we're talking about. But

875
00:57:16,680 --> 00:57:21,360
Speaker 3: the interesting thing here is that we don't know what

876
00:57:21,680 --> 00:57:26,080
Speaker 3: data sets inform this function. We don't know how they

877
00:57:26,120 --> 00:57:30,680
Speaker 3: are gathering info on this. And also I think we

878
00:57:30,720 --> 00:57:33,919
Speaker 3: can all agree. I didn't like the fact that ICE

879
00:57:33,960 --> 00:57:38,680
Speaker 3: officials said this will influence policy and then said no

880
00:57:38,800 --> 00:57:43,480
Speaker 3: further questions. What does that mean. That's like getting a

881
00:57:43,560 --> 00:57:46,680
Speaker 3: text that says, uh, call me or we have to

882
00:57:46,760 --> 00:57:48,320
Speaker 3: talk about what.

883
00:57:48,560 --> 00:57:52,880
Speaker 2: I don't even get this one near real time visibility

884
00:57:52,960 --> 00:57:56,280
Speaker 2: into instances of self deportation me.

885
00:57:56,440 --> 00:58:00,560
Speaker 4: So they're tracking, yes, individuals who are leaving of their

886
00:58:00,560 --> 00:58:01,960
Speaker 4: own accord for just.

887
00:58:02,040 --> 00:58:06,560
Speaker 3: All flights, every single flight or yeah, like I'm I'm

888
00:58:06,720 --> 00:58:10,800
Speaker 3: from let's say Bouton or Honduras, just to pick two,

889
00:58:11,280 --> 00:58:15,520
Speaker 3: and now I am thanks to Palanteer being tracked with

890
00:58:15,960 --> 00:58:20,320
Speaker 3: such a level of fidelity that you know, when I'm

891
00:58:20,520 --> 00:58:22,600
Speaker 3: leaving the United States.

892
00:58:22,680 --> 00:58:25,440
Speaker 2: So that's passenger manifests that they're looking at.

893
00:58:25,520 --> 00:58:31,800
Speaker 4: Absolutely. Yeah, facial recognition huge part. Yeah, there was this

894
00:58:31,880 --> 00:58:34,240
Speaker 4: thing that was kind of controversial, but I appreciate what

895
00:58:34,280 --> 00:58:37,640
Speaker 4: they were doing. The trip hop band Massive Attack, who

896
00:58:37,640 --> 00:58:39,880
Speaker 4: a lot of people think one of the main people

897
00:58:39,880 --> 00:58:42,200
Speaker 4: in that group is Banksy, which I always have found

898
00:58:42,240 --> 00:58:44,960
Speaker 4: interesting and kind of plausible. They did a thing at

899
00:58:45,000 --> 00:58:48,080
Speaker 4: one of their concerts in a recent tour where they

900
00:58:48,560 --> 00:58:53,920
Speaker 4: projected facial recognition real time data gathering of people in

901
00:58:53,960 --> 00:58:56,439
Speaker 4: the crowd, and it pissed a lot of people off.

902
00:58:56,440 --> 00:58:59,080
Speaker 4: People thought it was invasive and not cool. But they've

903
00:58:59,120 --> 00:59:02,160
Speaker 4: always been a little bastic and protesting in that fashion,

904
00:59:02,200 --> 00:59:04,640
Speaker 4: and I think they're just demonstrating that if like Massive

905
00:59:04,680 --> 00:59:07,919
Speaker 4: Attack can do that as a neat concert trick, think

906
00:59:07,920 --> 00:59:10,280
Speaker 4: about what folks like Palenteer can do. Like it was

907
00:59:10,320 --> 00:59:13,320
Speaker 4: literally zeroing in on thousands of faces and then attack

908
00:59:13,440 --> 00:59:17,880
Speaker 4: attaching them to available online information like social media stuff,

909
00:59:17,920 --> 00:59:20,280
Speaker 4: public accounts, things like that, and showing it as like

910
00:59:20,360 --> 00:59:24,040
Speaker 4: an overlay like predator vision or like you know, terminator vision.

911
00:59:24,240 --> 00:59:27,919
Speaker 3: I think that's just a great comparison. Yeah, because this

912
00:59:28,000 --> 00:59:32,440
Speaker 3: goes into our third core function of this new palateer

913
00:59:32,600 --> 00:59:36,160
Speaker 3: Ice collab. The third core function is what they call

914
00:59:36,480 --> 00:59:41,920
Speaker 3: immigration life cycle process. This is to streamline the identification

915
00:59:42,240 --> 00:59:46,520
Speaker 3: of aliens and their removal from the United States, with

916
00:59:46,680 --> 00:59:53,840
Speaker 3: the goal of making deportation logistics more efficient. That is

917
00:59:55,120 --> 00:59:59,760
Speaker 3: a lot of vagary. We can understand why supporters are thrilled. Obviously,

918
00:59:59,800 --> 01:00:02,480
Speaker 3: make your job is here. We can also understand why

919
01:00:02,480 --> 01:00:05,320
Speaker 3: it's bone chilling to critics and members of the public because,

920
01:00:05,440 --> 01:00:10,280
Speaker 3: get this, fellow conspiracy realist, a political point here doesn't

921
01:00:10,320 --> 01:00:14,280
Speaker 3: matter who you voted for. This series of tools can

922
01:00:14,360 --> 01:00:19,840
Speaker 3: theoretically be applied to any part of the population. You

923
01:00:19,880 --> 01:00:23,280
Speaker 3: can round up everybody named Jeff with this stuff. You

924
01:00:23,320 --> 01:00:26,720
Speaker 3: can find every Welsh American, you can find everybody who

925
01:00:26,840 --> 01:00:30,160
Speaker 3: is left handed. You can find everybody who went to

926
01:00:30,200 --> 01:00:33,880
Speaker 3: a massive attack concert at some point in their lives.

927
01:00:34,840 --> 01:00:37,560
Speaker 3: I would be worried the tool is here.

928
01:00:37,800 --> 01:00:41,160
Speaker 2: I mean, the government is currently building dozens and dozens

929
01:00:41,160 --> 01:00:44,560
Speaker 2: of forward operating base excuse me, detention centers within the

930
01:00:44,680 --> 01:00:49,880
Speaker 2: United States. I jokingly called them forward operating basis, as

931
01:00:49,920 --> 01:00:52,680
Speaker 2: though it would be some kind of war zone that

932
01:00:52,720 --> 01:00:55,200
Speaker 2: they're preparing for it to round a bunch of people

933
01:00:55,240 --> 01:00:56,120
Speaker 2: up or are their enemies.

934
01:00:56,200 --> 01:01:00,240
Speaker 4: I'm just kidding. See Atlanta pass something that prevents said

935
01:01:00,520 --> 01:01:04,240
Speaker 4: detention centers from being established in the city proper, at

936
01:01:04,320 --> 01:01:06,960
Speaker 4: least must Yeah.

937
01:01:06,800 --> 01:01:08,640
Speaker 3: I was just full ton, I believe, yes, yeah, yeah,

938
01:01:08,840 --> 01:01:11,280
Speaker 3: proposes to prevent Let's see, it's.

939
01:01:11,240 --> 01:01:13,760
Speaker 4: Your point, madam, and the birds like it's everywhere.

940
01:01:13,840 --> 01:01:16,760
Speaker 3: Atlanta and Georgia are two very different countries that happen

941
01:01:16,840 --> 01:01:17,960
Speaker 3: to be in the same place.

942
01:01:18,160 --> 01:01:18,520
Speaker 4: I agree.

943
01:01:18,920 --> 01:01:22,560
Speaker 3: So we also have to consider that ICE has used

944
01:01:22,840 --> 01:01:27,560
Speaker 3: services from Pallanteer and Clearview AI check out our earlier

945
01:01:27,600 --> 01:01:32,960
Speaker 3: conversations about them in Minnesota right now to track protesters

946
01:01:33,360 --> 01:01:40,040
Speaker 3: not necessarily quote unquote undocumented residents instead innocent people who

947
01:01:40,120 --> 01:01:43,720
Speaker 3: showed up to protest. You know, the murder of civilians

948
01:01:43,760 --> 01:01:49,320
Speaker 3: by ICE in Minnesota. Those folks got bird dogged very easily,

949
01:01:49,400 --> 01:01:52,120
Speaker 3: and they didn't do anything wrong. It is still legal

950
01:01:52,200 --> 01:01:54,160
Speaker 3: to protest in the United States.

951
01:01:55,200 --> 01:01:58,600
Speaker 2: Yeah, sure, it is, sure, it is.

952
01:01:58,600 --> 01:02:02,240
Speaker 3: Sure, yeah, yeah legal. Oh my gosh, it's legal. But

953
01:02:02,320 --> 01:02:04,840
Speaker 3: it's a party foul? Is that where we're at? Well?

954
01:02:05,560 --> 01:02:07,560
Speaker 4: Can I take a brief aside real quick, just about

955
01:02:07,560 --> 01:02:09,360
Speaker 4: that point. I'd love to hear your guys thoughts. I

956
01:02:09,440 --> 01:02:12,080
Speaker 4: helpe my kid with an assignment for school the other

957
01:02:12,160 --> 01:02:15,720
Speaker 4: day that was about Iran and the protest going on

958
01:02:15,800 --> 01:02:18,560
Speaker 4: there and obviously the lethal crackdown. I think we in

959
01:02:18,600 --> 01:02:21,360
Speaker 4: our discussion of Iran, pointed out that that's just like

960
01:02:21,800 --> 01:02:25,400
Speaker 4: just a bit of a walk, you know, around the block,

961
01:02:25,560 --> 01:02:27,360
Speaker 4: you know, or down the street or in the state

962
01:02:27,400 --> 01:02:31,919
Speaker 4: over to get there exactly there from where we are

963
01:02:31,920 --> 01:02:35,520
Speaker 4: currently now in this country where like protest is frowned upon,

964
01:02:35,960 --> 01:02:40,760
Speaker 4: people are cast as you know, dissidents or paid paid

965
01:02:40,800 --> 01:02:45,000
Speaker 4: agitators or or whatever, and you are tracked, and you

966
01:02:45,040 --> 01:02:47,720
Speaker 4: are tracked, yes, one hundred percent. But to your point

967
01:02:47,720 --> 01:02:51,000
Speaker 4: about it being legal technically, the whole point of the

968
01:02:51,040 --> 01:02:54,560
Speaker 4: piece was in Iran, their public relations team or whatever,

969
01:02:54,640 --> 01:02:58,280
Speaker 4: like a spokesperson for the government was saying regarding student protests,

970
01:02:58,480 --> 01:03:01,800
Speaker 4: it's okay, we respect your right to legally protest, just

971
01:03:01,880 --> 01:03:05,480
Speaker 4: don't do any of these things like don't burn a flag,

972
01:03:05,640 --> 01:03:10,760
Speaker 4: or don't be critical of anything religious or sacred objects

973
01:03:10,840 --> 01:03:13,320
Speaker 4: or whatever. We're practically at that point here where it's

974
01:03:13,320 --> 01:03:16,480
Speaker 4: almost just like a pr line to say that it's

975
01:03:16,520 --> 01:03:20,240
Speaker 4: okay to protest We respect and value your right to

976
01:03:20,320 --> 01:03:23,280
Speaker 4: protest as long as you don't run a foul of us,

977
01:03:23,280 --> 01:03:25,600
Speaker 4: in which case that we call you a domestic terrorist.

978
01:03:25,800 --> 01:03:30,640
Speaker 3: Well, there's also a very fascinating and dark bit of

979
01:03:30,760 --> 01:03:34,840
Speaker 3: legal parkour in that statement. We support your right to

980
01:03:35,200 --> 01:03:39,200
Speaker 3: legally protest. There need to be italics and coveats around

981
01:03:39,240 --> 01:03:43,200
Speaker 3: the word legally because what is legal can be changed

982
01:03:43,440 --> 01:03:48,720
Speaker 3: very easily depending upon a fluid situation. And I hope

983
01:03:48,720 --> 01:03:53,080
Speaker 3: the school project goes well. The struggles of the people

984
01:03:53,080 --> 01:03:55,960
Speaker 3: of Iran are close to our hearts as a show.

985
01:03:56,680 --> 01:04:02,200
Speaker 3: We also know that Tarran has you know, absolutely greenlit

986
01:04:02,560 --> 01:04:07,920
Speaker 3: live fire on innocent protesters and is deploying their own

987
01:04:08,080 --> 01:04:12,880
Speaker 3: version of these intense or Wellian surveillance techniques now. While

988
01:04:13,320 --> 01:04:16,320
Speaker 3: the US is not yet at a full on green

989
01:04:16,400 --> 01:04:20,840
Speaker 3: light for live fire on innocent protesters, we do know,

990
01:04:21,400 --> 01:04:25,760
Speaker 3: as as Noel just said, we do know. It's increasingly

991
01:04:26,720 --> 01:04:32,200
Speaker 3: less implausible. I would say the information is out there,

992
01:04:32,400 --> 01:04:37,000
Speaker 3: the information from the perspective of people who like Palaeer,

993
01:04:37,400 --> 01:04:40,800
Speaker 3: the information is standing there waving its hands saying ooh

994
01:04:40,960 --> 01:04:43,720
Speaker 3: use me, use me, pull up, oh me, I'm a

995
01:04:43,760 --> 01:04:47,840
Speaker 3: location data for a vegan. You don't like, Oh my gosh,

996
01:04:47,960 --> 01:04:50,840
Speaker 3: pick me up. I volunteer, I palaneer.

997
01:04:50,800 --> 01:04:53,840
Speaker 4: Yes, by too much, y'all.

998
01:04:54,040 --> 01:04:56,720
Speaker 2: I got something for you guys that I just saw.

999
01:04:56,960 --> 01:05:01,760
Speaker 2: Is it's weird. Do we remember a person named Kim

1000
01:05:02,040 --> 01:05:02,960
Speaker 2: dot com?

1001
01:05:03,320 --> 01:05:05,760
Speaker 4: Yes? I don't remember Kim dot com.

1002
01:05:05,840 --> 01:05:09,480
Speaker 2: Is that the Mega upload guy? Hey it is mega upload, Yes, Mega?

1003
01:05:09,840 --> 01:05:14,600
Speaker 2: I there, m Ega and just an interesting character. Been

1004
01:05:14,640 --> 01:05:17,480
Speaker 2: in trouble a lot, kind of like a like a

1005
01:05:17,480 --> 01:05:20,960
Speaker 2: pirate freedom fighter. He's a father of six children. He's

1006
01:05:21,000 --> 01:05:23,640
Speaker 2: an entrepreneur and an innovator, and a gamer and an artist.

1007
01:05:23,920 --> 01:05:27,800
Speaker 2: It's very interesting character. He posted something on x on

1008
01:05:27,880 --> 01:05:33,040
Speaker 2: February fifteenth that had some serious allegations, but again maybe opinions.

1009
01:05:33,080 --> 01:05:34,600
Speaker 2: I don't know how you want to take it nowadays,

1010
01:05:34,600 --> 01:05:37,320
Speaker 2: when it's just a social post by a prominent individual.

1011
01:05:37,600 --> 01:05:40,960
Speaker 4: Oh, it's the news. They reprinted me, they reprinted Emily.

1012
01:05:43,360 --> 01:05:48,000
Speaker 2: But he does say things about I'll just read some

1013
01:05:48,040 --> 01:05:50,480
Speaker 2: of the quotes from this February fifteenth post by Kim

1014
01:05:50,480 --> 01:05:54,800
Speaker 2: dot com. Pallenteers creating nuclear and bioweapon capabilities for Ukraine

1015
01:05:54,840 --> 01:05:57,760
Speaker 2: and is working closely with the CIA to defeat Russia.

1016
01:05:57,880 --> 01:06:00,680
Speaker 2: They believe they are one year away. They to achieve

1017
01:06:00,760 --> 01:06:05,120
Speaker 2: this by keeping Russia busy with meaningless peace negotiations. Pallenteers

1018
01:06:05,160 --> 01:06:08,120
Speaker 2: responsible for the majority of Palestinian deaths in Gaza. They

1019
01:06:08,120 --> 01:06:11,360
Speaker 2: have developed the AI targeting for Israel. Pallenteer is an

1020
01:06:11,440 --> 01:06:14,080
Speaker 2: arm of the CIA, and all data from international clients

1021
01:06:14,120 --> 01:06:18,160
Speaker 2: is copied into CIA spycloud. It's just it's like crazy allegations, right,

1022
01:06:18,360 --> 01:06:20,080
Speaker 2: and again those aren't my words, those are Kim dot

1023
01:06:20,080 --> 01:06:20,560
Speaker 2: COM's words.

1024
01:06:20,640 --> 01:06:23,080
Speaker 4: Yeah, you have a ring to them, guys, I mean,

1025
01:06:23,080 --> 01:06:23,920
Speaker 4: based on what we know.

1026
01:06:24,880 --> 01:06:27,960
Speaker 3: Yeah, yeah, that's all I'm saying, Kim, I can back

1027
01:06:28,040 --> 01:06:28,520
Speaker 3: you up here.

1028
01:06:28,800 --> 01:06:31,680
Speaker 2: Yeah, Well, Kim dot com is saying that Pallenteer was hacked.

1029
01:06:31,760 --> 01:06:34,760
Speaker 2: Allegedly hacked is what he says. Says, an AI agent

1030
01:06:34,880 --> 01:06:37,040
Speaker 2: was used to gain super user access and here's what

1031
01:06:37,080 --> 01:06:40,080
Speaker 2: they found. I don't know. They're also alleging that Teal

1032
01:06:40,240 --> 01:06:43,160
Speaker 2: and Karp, the current CEO, Carp and Peter Teel and

1033
01:06:43,200 --> 01:06:46,160
Speaker 2: the founders commit massive surveillance of world leaders and titans

1034
01:06:46,160 --> 01:06:49,040
Speaker 2: of industry on a massive scale, as in, these are

1035
01:06:49,040 --> 01:06:51,880
Speaker 2: the guys watching the people that they end up having

1036
01:06:52,040 --> 01:06:53,080
Speaker 2: these secret meetings with.

1037
01:06:53,280 --> 01:06:56,320
Speaker 4: And why would contracts with why why wouldn't they given

1038
01:06:56,360 --> 01:06:58,360
Speaker 4: the ability to do so. To your point about the

1039
01:06:58,360 --> 01:07:01,760
Speaker 4: intoxication the eye, I have sauron of this type of thing.

1040
01:07:01,800 --> 01:07:03,080
Speaker 4: It is a superpower.

1041
01:07:03,440 --> 01:07:08,080
Speaker 3: Stay tuned for the Epstein episode Friends and Neighbors, KiB

1042
01:07:08,160 --> 01:07:10,080
Speaker 3: We could back you up on a little bit of this,

1043
01:07:10,240 --> 01:07:14,840
Speaker 3: if all of it. Pallenteer is a global entity. It

1044
01:07:14,880 --> 01:07:19,320
Speaker 3: works with military intel and law enforcement in multiple other countries.

1045
01:07:19,840 --> 01:07:24,440
Speaker 3: The Israeli government in particular, began working with Palenteer as

1046
01:07:24,640 --> 01:07:30,920
Speaker 3: early as twenty fourteen. They significantly scaled up their collaborations

1047
01:07:31,040 --> 01:07:35,920
Speaker 3: during the recent cause of conflict. They've also been deploying

1048
01:07:36,000 --> 01:07:42,080
Speaker 3: Palenteer technology in attacks in Lebanon and for their attaxing claust.

1049
01:07:43,720 --> 01:07:46,760
Speaker 3: This is a tool that will be used. Maybe you

1050
01:07:46,800 --> 01:07:49,360
Speaker 3: know one thing we didn't mention here, guys, is that

1051
01:07:50,000 --> 01:07:54,960
Speaker 3: Palenteer technically, despite being you know, a son of Uncle Sam,

1052
01:07:55,440 --> 01:07:57,480
Speaker 3: it's a good horror film name. I'm all right, I thought.

1053
01:07:58,360 --> 01:08:00,440
Speaker 3: Despite being a son of Uncle Sam, it is a

1054
01:08:00,480 --> 01:08:05,120
Speaker 3: private entity, which means that it can work with right

1055
01:08:05,160 --> 01:08:08,400
Speaker 3: now whomever it wants until a law has passed. Right,

1056
01:08:09,360 --> 01:08:13,280
Speaker 3: it has to work within the legal constraints of its

1057
01:08:13,400 --> 01:08:18,479
Speaker 3: consumers and customers. Those legal constraints across the world and

1058
01:08:18,520 --> 01:08:21,680
Speaker 3: other sovereign nations. They're not going to always be the

1059
01:08:21,720 --> 01:08:25,920
Speaker 3: same as the constraints you might think about theoretically here

1060
01:08:25,960 --> 01:08:29,639
Speaker 3: in the United States, which even those now are coming

1061
01:08:29,720 --> 01:08:33,200
Speaker 3: up for intense debate. It's getting hairy. It is getting

1062
01:08:33,439 --> 01:08:37,120
Speaker 3: very hairy, and it would be Look, we'd love to do,

1063
01:08:38,560 --> 01:08:41,360
Speaker 3: you know. I think we should do some paranormal episodes

1064
01:08:41,840 --> 01:08:44,040
Speaker 3: just to cleanse the palette and wet the appetite a

1065
01:08:44,120 --> 01:08:47,880
Speaker 3: little bit. But this is important, and it's going to

1066
01:08:48,000 --> 01:08:50,640
Speaker 3: escalate a little bit more quickly than a lot of

1067
01:08:50,720 --> 01:08:52,639
Speaker 3: us would like to think. That's my take.

1068
01:08:53,040 --> 01:08:55,960
Speaker 2: I agree, well, and it's going it's going great for

1069
01:08:56,000 --> 01:08:59,360
Speaker 2: all the investors of Pallanteer, right shout out to you know,

1070
01:08:59,680 --> 01:09:02,080
Speaker 2: just like the investors of Nvidia and all the other

1071
01:09:02,439 --> 01:09:05,600
Speaker 2: AI stuff going on. If you look at some of

1072
01:09:05,640 --> 01:09:07,960
Speaker 2: the recent news about Palenteer, one of the things is

1073
01:09:08,280 --> 01:09:13,160
Speaker 2: the the next quarterly results and how fantastic they have been,

1074
01:09:13,240 --> 01:09:16,000
Speaker 2: both for Pallenteer and for Nvidia. You know, who makes

1075
01:09:16,000 --> 01:09:19,800
Speaker 2: the the graphic processors that end up running all the

1076
01:09:19,840 --> 01:09:22,720
Speaker 2: things and the CPUs and all that great stuff. But

1077
01:09:22,800 --> 01:09:25,879
Speaker 2: it's all connected, and it's all you know, growing and churning,

1078
01:09:25,960 --> 01:09:28,479
Speaker 2: and the investors are super happy. No matter what data

1079
01:09:28,520 --> 01:09:32,240
Speaker 2: they're collecting, no matter what powers they're abusing, it's all

1080
01:09:32,280 --> 01:09:34,720
Speaker 2: great for us, because, hey, our pockets are growing just

1081
01:09:34,720 --> 01:09:36,439
Speaker 2: a little bit, our wallets are getting a little deeper.

1082
01:09:36,920 --> 01:09:38,640
Speaker 2: I don't know which one of those actually works. I

1083
01:09:38,680 --> 01:09:41,919
Speaker 2: think it's deep pockets and then large wallets or whatever wallets.

1084
01:09:42,040 --> 01:09:46,600
Speaker 3: I mean, yeah, yeah, I hear you. Like a future

1085
01:09:46,680 --> 01:09:48,800
Speaker 3: historians say at the end of the world, they see

1086
01:09:48,920 --> 01:09:53,680
Speaker 3: a fun fact. On the day humanity went extinct, the

1087
01:09:54,120 --> 01:09:57,880
Speaker 3: Dow Jones reached its highest level ever. So oh yeah,

1088
01:09:58,000 --> 01:09:59,720
Speaker 3: walk away with something possible.

1089
01:09:59,439 --> 01:10:02,599
Speaker 2: That that is precisely the thing that Jamie Diamond JP

1090
01:10:02,720 --> 01:10:06,680
Speaker 2: Morgan Chase CEO is currently warning about, and he is

1091
01:10:06,720 --> 01:10:09,160
Speaker 2: saying that the same things are happening now that we're

1092
01:10:09,200 --> 01:10:11,559
Speaker 2: happening back in two thousand and five, two thousand and six,

1093
01:10:11,600 --> 01:10:14,559
Speaker 2: two thousand and seven, right before the huge crash, where

1094
01:10:14,760 --> 01:10:18,280
Speaker 2: again it's it's a human being that is very very

1095
01:10:18,360 --> 01:10:21,479
Speaker 2: good at investing, perhaps one of the best in the world.

1096
01:10:21,600 --> 01:10:24,160
Speaker 2: JP Morgan Chase is one of those companies that actually

1097
01:10:24,600 --> 01:10:27,240
Speaker 2: keeps a lot of money around even though they're investing

1098
01:10:27,320 --> 01:10:29,400
Speaker 2: in a lot of things. They keep a good amount

1099
01:10:29,479 --> 01:10:32,720
Speaker 2: of money in the bank as collateral, as protection. As

1100
01:10:32,800 --> 01:10:35,760
Speaker 2: you know, remember when you were told how to keep

1101
01:10:35,760 --> 01:10:37,320
Speaker 2: a checking account in a savings account.

1102
01:10:37,439 --> 01:10:40,320
Speaker 3: You remember that, Oh yeah, that Mary Poppins song right

1103
01:10:41,040 --> 01:10:42,240
Speaker 3: time ago, Yeah.

1104
01:10:42,040 --> 01:10:45,080
Speaker 2: Yes, and a long time ago. There's there's some class

1105
01:10:45,120 --> 01:10:46,680
Speaker 2: that we all took where it's like, hey, keep a

1106
01:10:46,760 --> 01:10:49,800
Speaker 2: certain amount in savings and then keep this other part

1107
01:10:49,920 --> 01:10:53,360
Speaker 2: for spending. But make sure you've got that savings in

1108
01:10:53,400 --> 01:10:56,200
Speaker 2: case something goes bad or goes wrong. JP Morgan Chase

1109
01:10:56,240 --> 01:10:58,960
Speaker 2: does that, unlike a lot of these other giant firms,

1110
01:10:59,360 --> 01:11:02,280
Speaker 2: and the guy who is who is the person who

1111
01:11:02,320 --> 01:11:05,280
Speaker 2: saves is saying, hey, it's about to go down. I

1112
01:11:05,280 --> 01:11:08,120
Speaker 2: don't know when exactly, but it's the same things are happening,

1113
01:11:08,280 --> 01:11:09,880
Speaker 2: and it's going to be related to AI. It's going

1114
01:11:09,920 --> 01:11:13,280
Speaker 2: to be software companies. So just Pallenteer is one of those.

1115
01:11:13,400 --> 01:11:14,880
Speaker 2: So I'm just putting it out there to keep that

1116
01:11:14,960 --> 01:11:16,320
Speaker 2: in mind and to keep a lookout.

1117
01:11:17,040 --> 01:11:23,160
Speaker 3: Yeah, Palenteer, we could argue, is somewhat indemnified from the

1118
01:11:23,280 --> 01:11:29,240
Speaker 3: coming burst of the bubble because they have they have

1119
01:11:29,360 --> 01:11:34,720
Speaker 3: proven their worth as weaponized surveillance. They're also getting a

1120
01:11:34,760 --> 01:11:38,400
Speaker 3: lot of controversy as we record today some of the

1121
01:11:38,439 --> 01:11:44,000
Speaker 3: recent news. A few days back, Palenteer officially, without an

1122
01:11:44,040 --> 01:11:48,719
Speaker 3: announcement to local government, they moved their HQ from Denver

1123
01:11:48,920 --> 01:11:52,280
Speaker 3: to Miami, So please stay tuned. We can't wait to

1124
01:11:52,320 --> 01:11:58,599
Speaker 3: see what Tolkien location they pull for their new MIABI office.

1125
01:11:58,600 --> 01:12:01,160
Speaker 3: What do you think, guys, Mordor As the time come,

1126
01:12:01,479 --> 01:12:04,599
Speaker 3: can we call the new office mor door? Yeah? Yeah,

1127
01:12:04,840 --> 01:12:08,519
Speaker 3: I love her and our Yeah I don't. I think

1128
01:12:08,560 --> 01:12:10,479
Speaker 3: it's fair for us to say this is not a

1129
01:12:10,520 --> 01:12:14,640
Speaker 3: conspiracy theory, friends and neighbors. This is a real conspiracy.

1130
01:12:14,760 --> 01:12:18,400
Speaker 3: It is one that we have other entities much more

1131
01:12:18,439 --> 01:12:21,040
Speaker 3: plugged in than us, have warned about for more than

1132
01:12:21,080 --> 01:12:23,880
Speaker 3: a decade now. So maybe two big questions to end,

1133
01:12:25,200 --> 01:12:28,599
Speaker 3: was it inevitable that something like this would be created?

1134
01:12:28,760 --> 01:12:33,160
Speaker 3: We pause it? Yes, Second, more importantly, what happens next?

1135
01:12:33,240 --> 01:12:37,160
Speaker 3: Because that last bit appears to be the stuff Palenteer

1136
01:12:37,360 --> 01:12:40,000
Speaker 3: doesn't want you to know. Thank you so much for

1137
01:12:40,080 --> 01:12:42,080
Speaker 3: tuning in. We would love to hear your thoughts. So

1138
01:12:42,080 --> 01:12:43,840
Speaker 3: you can find us on the lines. You can call

1139
01:12:43,920 --> 01:12:45,880
Speaker 3: us on the phone, you can send us an email.

1140
01:12:46,000 --> 01:12:49,479
Speaker 4: You sure can find us on the lines by searching

1141
01:12:49,520 --> 01:12:53,120
Speaker 4: for the handles conspiracy stuff or conspiracy Stuff show. You'll

1142
01:12:53,120 --> 01:12:55,280
Speaker 4: find us son that'll come up on your social media

1143
01:12:55,320 --> 01:12:56,160
Speaker 4: platform of choice.

1144
01:12:56,240 --> 01:12:59,000
Speaker 2: You can call us. Our number is one eight three

1145
01:12:59,120 --> 01:13:04,160
Speaker 2: three styk. Turn those letters into numbers. Give yourself a

1146
01:13:04,160 --> 01:13:05,960
Speaker 2: cool nickname, and let us know if we can use

1147
01:13:05,960 --> 01:13:07,960
Speaker 2: your name and message on one of our listener mail

1148
01:13:08,000 --> 01:13:10,880
Speaker 2: episodes that will show up in the audio feeds. If

1149
01:13:10,880 --> 01:13:12,240
Speaker 2: you want to send us an email, you can do

1150
01:13:12,280 --> 01:13:12,599
Speaker 2: that too.

1151
01:13:12,640 --> 01:13:15,920
Speaker 3: We are the entities that read each piece of correspondence

1152
01:13:15,960 --> 01:13:18,960
Speaker 3: we receive. Be well aware, yet I'm afraid the void

1153
01:13:19,240 --> 01:13:23,160
Speaker 3: rights back. And also shout out to Benevolent Dungeon Master,

1154
01:13:23,800 --> 01:13:27,280
Speaker 3: loved your pitch about doing a special series as a

1155
01:13:27,520 --> 01:13:50,759
Speaker 3: Dungeons and Dragons game Conspiracy at iHeartRadio dot com.

1156
01:13:50,960 --> 01:13:53,000
Speaker 2: Stuff they Don't Want you to Know is a production

1157
01:13:53,120 --> 01:13:57,639
Speaker 2: of iHeartRadio. For more podcasts from iHeartRadio, visit the iHeartRadio app,

1158
01:13:57,720 --> 01:14:00,240
Speaker 2: Apple Podcasts, or wherever you listen to your face evert

1159
01:14:00,280 --> 01:14:00,599
Speaker 2: shows