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Speaker 1: Hey guys, Saga and Crystal here.

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Speaker 2: Independent media just played a truly massive role in this election,

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Speaker 2: and we are so excited about what that means for

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Speaker 2: the future of this show.

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Speaker 3: This is the only place where you can find honest

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Speaker 1: Good morning, everybody, Happy Thursday. Have an amazing show for

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Speaker 1: everybody today when we have Prystal.

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Speaker 2: Indeed, we do some breaking news this morning, run Seizing

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Speaker 2: two Vessels.

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Speaker 4: As we continue to hover on the brink of another war.

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Speaker 2: The stock market has taken a dive over AI concerns

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Speaker 2: Trump is retreating further on ice deployments.

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Speaker 4: Bill Gates responding.

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Speaker 2: To Epstein allegations, We've also got a little tour for

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Speaker 2: you of all of the various Epstein defenders and the

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Speaker 2: defenses that they're offering. I think you might enjoy that one.

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Speaker 2: We're also going to take a look at the latest

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Speaker 2: with regard to this Trump assault on elections. He's doubling

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Speaker 2: down on his previous comments that they should be nationalized

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Speaker 2: and taken over.

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Speaker 4: So that's a fun one.

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Speaker 3: Right, And Tolsey Gabbard is now seizing what is it

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Speaker 3: pererto Rican voting machine.

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Speaker 2: Yes, because to investigate a link to Venezuela. This whole

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Speaker 2: idea that there might be a deal with Maduro is

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Speaker 2: looking more and more plausible by the.

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Speaker 3: Day, very plausibile. We'll be on Maduro Watch, Maduro Stop

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Speaker 3: the Steel Watch. Thank you to everybody who's been subscribing

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Speaker 3: Breakingpoints dot com. We have a number of you who

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Speaker 3: have joined the show in the last week because of Epstein.

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Speaker 3: just you know, again opening the books. We had two

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Speaker 3: segments yesterday demonetized. One of them was over and Ice shooting.

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Speaker 3: The other was over the Elon Paris raid. But just

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Speaker 3: to give people an example of how we cannot pick

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Speaker 3: people find the show. But let's go ahead and start

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Speaker 3: with Iran and the latest that just happened right before

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Speaker 3: we started. Let's go and put this up here on

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Speaker 3: the screen. Iran's IRGC has seized two vessels in the

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Speaker 3: Persian Gulf, threatening the United States with quote mastacre and hell,

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Speaker 3: I guess their version of fire and fury. The IRGC's

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Speaker 3: Navy's public relations department alleges that more than one million

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Speaker 3: leaders of smuggled fuel were found on the ships and

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Speaker 3: some fifteen foreign crew members were referred to judicial authorities.

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Speaker 3: So this happened in what they're claiming our Iranian waters.

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Speaker 3: This is still very very unclear exactly what's happen happening,

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Speaker 3: but this is clearly a shot across the bow as

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Speaker 3: diplomatic negotiations with the United States remain very very in flux.

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Speaker 3: So what they are saying here specifically is that the

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Speaker 3: strait of Horn Moves will be the place of massacre

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Speaker 3: and hell. I think this crystal is a very clear message,

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Speaker 3: a shot across the bow at Trump after multiple incendiary

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Speaker 3: comments made by the administration yesterday as diplomatic negotiations literally

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Speaker 3: we're on off and then on again, all in the

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Speaker 3: span of just three hours, we had a very very

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Speaker 3: significant development here.

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Speaker 2: Yeah, according to doctor Parsi, you know, the way the

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Speaker 2: Iranians are thinking now is previously when you've had you know,

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Speaker 2: Israel attack them, then we attack them. They've done these

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Speaker 2: very limited, coordinated with US retaliatory strikes two with the

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Speaker 2: calculation from the Iranians being we don't want this thing

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Speaker 2: to spiral. There is a different mindset there now, which

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Speaker 2: is basically like, Okay, we tried that, that didn't work,

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Speaker 2: so we need to adopt a different time. So I

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Speaker 2: think you can look at this seizure of these vessels

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Speaker 2: and this type of rhetoric threatening massacre and hell as

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Speaker 2: a different approach that is responsive to the fact that hey,

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Speaker 2: they tried the more conciliatory Okay, you can hit us,

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Speaker 2: and we will hit back as we have to, but

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Speaker 2: we're going to coordinate it with you. This is a

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Speaker 2: signal that you know, this time they may not play

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Speaker 2: that game again, and they feel the need to take

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Speaker 2: a harder line because the previous approach obviously didn't work.

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Speaker 2: Since we're now you know, we had claimed that we

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Speaker 2: all we destroyed their nuclear capabilities. Now we're back saying

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Speaker 2: we've got to negotiate over your nuclear capabilities. And by

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Speaker 2: the way, your ballistic missile program too, which is a

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Speaker 2: new add on from Israel, which is meant to poison

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Speaker 2: the well, and which is meant to back us into

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Speaker 2: a corner, not forced because we have our own agency here,

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Speaker 2: but to push us once again towards war.

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Speaker 1: The ballistic missile addition is completely fake.

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Speaker 3: It was added at the very last minute by the

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Speaker 3: Israelis because it's only a security threat to them, not

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Speaker 3: to us. We're all the way over here, and then

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Speaker 3: the way that we square that is well, but we

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Speaker 3: have all these troops in the region. It's like, well,

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Speaker 3: why are the troops in the region to protect Israel?

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Speaker 5: Oh?

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Speaker 1: Okay, so that's what this entire thing is about.

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Speaker 3: Nonetheless, this is almost certainly in response yesterday to Trump

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Speaker 3: yesterday threatening the Supreme Leader of Iran in an NBC

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Speaker 3: News interview in the Oval Office, Here's what he had

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Speaker 3: to say.

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Speaker 6: Should the Supreme Leader in Iran be worried right now?

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Speaker 7: I would say he should be very worried. You know,

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Speaker 7: he should be, as you know, they're negotiating with us.

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Speaker 7: I know they are.

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Speaker 8: But the protesters have said, you know, where are the Americans.

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Speaker 8: You promised them we would have their back. Do we

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Speaker 8: still have it back?

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Speaker 7: We've had their back, and look that country is a

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Speaker 7: mess right now because of us. We went in and

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Speaker 7: we wiped out their nuclear in the Middle East. If

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Speaker 7: I didn't take out their nuclear think of it, if

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Speaker 7: we didn't take out that nuclear we wouldn't have peace

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Speaker 7: in the Middle East because the Arab countries could have

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Speaker 7: never done that. They were very, very afraid of a Yeah,

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Speaker 7: they're not afraid of Iran anymore. We wiped out those

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Speaker 7: beautiful Beat two bombers, the ones right over there, those

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Speaker 7: beautiful little models, those beautiful Beat two bombers went in

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Speaker 7: and they hit their target, every single bomb and obliterated it,

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Speaker 7: and because of that, they were going to have a

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Speaker 7: nuclear weapon within one month. Within one month, they were

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Speaker 7: gonna have a nuclear weapon. That was a big threat

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Speaker 7: that they're not gonna have it anymore.

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Speaker 6: But now if we obliterated reiterated, what's the deal about.

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Speaker 8: I mean, if there's no more are they are they

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Speaker 8: trying to restart the nuclear.

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Speaker 7: We heard that they are, and if they do, and

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Speaker 7: I let them know, if they do, we're going to

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Speaker 7: send them right back and do their job again.

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Speaker 8: So you're understanding if they tried to restart it, and

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Speaker 8: that's why you're threatening force.

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Speaker 7: They tried to go back to the site. They weren't

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Speaker 7: even able to get near it. There was total obliteration.

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Speaker 7: But they were thinking about starting a new site in

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Speaker 7: a different part of the country. We found out about it.

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Speaker 7: I said, you do that, we're going to do very

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Speaker 7: bad things to you.

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Speaker 1: So, uh, the Supreme leaders should be very worried.

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Speaker 3: He said that there were one month away during midnight

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Speaker 3: Hammer from a nuclear bomb.

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Speaker 1: Literally just not true.

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Speaker 3: There's an entire thing about brain out time, et cetera,

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Speaker 3: which Tulsi Gabbert don't forget. Right before Midnight Hammer had

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Speaker 3: said that there is no indication, and in fact, you know,

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Speaker 3: in our interview with doctor Parsi as well as a

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Speaker 3: lot of other information that has come out, the Supreme

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Speaker 3: Leader actually takes his fatua on nuclear weapons very seriously,

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Speaker 3: and it would take a repeal of that. There's been

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Speaker 3: no intelligence indication. I can guarantee you if they had,

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Speaker 3: the New York cons would let us know tomorrow so

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Speaker 3: that we could start a full blown nuclear war. Nothing

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Speaker 3: has changed on the ground whatsoever except for the protests.

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Speaker 3: And so the protests are making people very excited about

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Speaker 3: this idea of a shaky regime which can just be

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Speaker 3: toppled from the air and turn it into an Israeli

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Speaker 3: civil war rump state. But that is just not where

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Speaker 3: things are. And in fact, you know, what we see

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Speaker 3: right now is we may have exhausted the very last

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Speaker 3: chances of real diplomacy here and that the current you know,

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Speaker 3: the current framework from the administration is that this is

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Speaker 3: an illegitimate regime. Is that every time that we hit

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Speaker 3: you and or we negotiate, that the goalpost will move.

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Speaker 3: And that's why the Iranian position has changed so dramatically

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Speaker 3: now basically to the point and look, the critics are

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Speaker 3: saying that they've always been like this, did I don't

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Speaker 3: remember multiple airstrikes and negotiations and crises that were all happening.

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Speaker 3: This is entirely one manufactured of our making and of

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Speaker 3: Israel's making. And this was underscored by the US Secretary

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Speaker 3: of State Marco Rubio yesterday, who again takes direct aim

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Speaker 3: at the leadership of Iran, who apparently we also want

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Speaker 3: to negotiate a two let's go ahead and roll that.

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Speaker 5: The Iranian people and the Iranian regime are very unlike

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Speaker 5: in essence, what the Iranian people want. This is a

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Speaker 5: culture with a deep history. These are people that are

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Speaker 5: The leadership of Iran at the clerical level does not

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Speaker 5: reflect the people of Iran. I know of no other

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Speaker 5: country where there's a bigger difference between the people that

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Speaker 5: lead the country and the people who live there. And

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Speaker 5: so our hope resides in that. As far as the

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Speaker 5: presence views on the way protesters were treated, it was

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Speaker 5: very clear about it, and as you saw, part of

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Speaker 5: what the President said publicly prevented mass executions that were

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Speaker 5: being planned. And we're on the precipice of and obviously

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Speaker 5: beyond that, the President retains a number of options to

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Speaker 5: how we respond to that and future events. But as

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Speaker 5: far as the talks are concerned, you know, I think

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Speaker 5: the Iranians had agreed to a certain format. For whatever reason,

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Speaker 5: it's changed in their system or what have you. We'll

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Speaker 5: see we can get back to the right place. But

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Speaker 5: the United States is prepared to meet with them. I

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Speaker 5: think it was scheduled for Friday. Steve is ready to go.

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Speaker 5: He'll be prepared for that. If the Iranians want to meet,

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Speaker 5: we're ready. They've expressed an interest in meeting and talking.

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Speaker 5: If they changed their mind, we're fine with that too.

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Speaker 5: We prefer to meet and talk. I'm not sure you

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Speaker 5: can reach a deal with these guys, but we're going

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Speaker 5: to try to find out. We don't see there's any

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Speaker 5: harm in trying to figure out there's something that can

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Speaker 5: be done. This is a president that always prefers a

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Speaker 5: peaceful outcome to any conflict.

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Speaker 4: Or any challenge.

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Speaker 3: So you can all see very clearly here. You know,

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Speaker 3: this is a direct shot. We would like to meet.

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Speaker 3: But it's like the people of Iran deserve basically freedom.

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Speaker 1: I mean, I guess maybe you can hold those together.

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Speaker 3: But Chrystal, when we put it to a and pair

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Speaker 3: with what happened yesterday. It is very clear there is

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Speaker 3: a massive factional war inside the Trump administration. Let's put

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Speaker 3: this one up here on the screen just so we

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Speaker 3: can show all of you. So basically, as of yesterday morning,

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Speaker 3: we were supposed to meet with the Iranians. After some

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Speaker 3: pushback from them saying we don't want to meet with

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Speaker 3: regional partners, we just want to meet one on one

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Speaker 3: with the United States, those talks were then called off

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Speaker 3: as of midday. Then by the end of the day

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Speaker 3: the plans for the US Iran talks are actually back

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Speaker 3: on after several Arab and Muslim leaders urgently lobbied the

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Speaker 3: Trump administration Wednesday afternoon not to follow through on threats

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Speaker 3: to walk away. Quote, they asked us to keep the

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Speaker 3: meeting to listen to what the Iranians have to say.

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Speaker 3: We have told the Arabs we will do the meeting

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Speaker 3: if they insist, but we are very skeptical.

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Speaker 1: The official said.

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Speaker 3: At least nine countries had passed on messages the most

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Speaker 3: senior levels of the Trump administration strongly asking do not

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Speaker 3: cancel the meeting with the Iranians. In Oman and as

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Speaker 3: second US officials said that the Trump administration agreed to

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Speaker 3: take the meeting with the Iran that needs to be

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Speaker 3: respectful of the request of US allies and in order

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Speaker 3: to coordinate pursuing the diplomatic tracks. So very clearly the

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Speaker 3: Arab powers are freaking out because people forget this, It's

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Speaker 3: not just Israel. Where was that token strike back from

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Speaker 3: the Iranians Doha Qatar, who by the way, also got

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Speaker 3: struck by Israel, and then we signed some non aggression

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Speaker 3: packed with Doha Saudi Arabia Straits of horror moves. We

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Speaker 3: have massive amounts of oil that moved through there, so

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Speaker 3: this would be a destabilization event, which the Iranians, now

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Speaker 3: with their seizure this morning, are making clear we can

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Speaker 3: wreak absolute havoc. The price of skyrocketed on the news

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Speaker 3: initially whenever the meetings were supposed to be canceled.

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Speaker 1: I'm sure that the raid this morning will also have some.

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Speaker 3: Sort of follow on effect, But it is clear that

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Speaker 3: there's a deteriorating situation, and we keep narrowing the goalposts

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Speaker 3: to make it so that it's like war seems to

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Speaker 3: be one of the only options left that's currently on

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Speaker 3: the table. Absent a genuine breakthrough tomorrow, which we can

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Speaker 3: all hope for. But if you're iranlast time you were

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Speaker 3: scheduled to meet with Steve Wikoff, we bombed you.

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Speaker 1: So what what are they going to do in this meeting?

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Speaker 2: And if you're any of these you know, regional powers

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Speaker 2: and allies of the US, you also have to feel

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Speaker 2: a little bit nervous about how sufficient our defenses are

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Speaker 2: going to be. I mean, you watched and this again

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Speaker 2: wasn't covered that much in the Western press, but last time,

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Speaker 2: you know, our stockpiles and Israeli stockpiles of you know,

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Speaker 2: the of defense interceptors, missile defense interceptors were running low

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Speaker 2: and Israel was struck. Now, Iran, I have no doubt

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Speaker 2: took more damage, but there was there were significant blows

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Speaker 2: struck inside of Israel. So they also can't feel totally

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Speaker 2: confident that, like the US is just going to have

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Speaker 2: our back and it's not going to be a problem,

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Speaker 2: We're not going to take on any damage. And then

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Speaker 2: are they excited about having you know, a failed state

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Speaker 2: in Iran and all of the chaos that that entails

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Speaker 2: and the spillover effects which you know, nobody understands what

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Speaker 2: that can look like better than the countries in this region.

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Speaker 2: So listen, I have no idea, I have no inside

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Speaker 2: knowledge whether we are going to strike Iran imminently or not.

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Speaker 2: But what I can say is what we've seen over

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Speaker 2: the course of this administration and at other lower levels

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Speaker 2: under other administrations as well, is they are continuing to push.

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Speaker 4: In this direction.

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Speaker 2: I mean, the protests are both organic, like there's genuine

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Speaker 2: upset in the country over the government. I don't want

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Speaker 2: to downplay that whatsoever, but that also is fomented by

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Speaker 2: our intentional squeezing of the Iranian economy. You know, you've

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Speaker 2: got the precipitating event was this currency collapse, and there's

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Speaker 2: every indication that we were involved in that.

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Speaker 4: So we're trying this, We're cycling.

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Speaker 2: Through a variety of ways to try to squeeze this government,

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Speaker 2: to try to cause some sort of collapse. You know,

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Speaker 2: the Israelis, you're not going to stop pushing in this direction.

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Speaker 2: So I have zero optimism that we're not going to,

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Speaker 2: in some way or another continue down this track, whether

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Speaker 2: this means imminent kinetic action or whether that's further down

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Speaker 2: the road, or whether we try some other tactic or

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Speaker 2: what and that's without even talking about you know, Mike

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Speaker 2: Pompeio bribing about the MASSAD agents in the streets alongside

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Speaker 2: the protesters.

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Speaker 3: Yeah, I mean, if anything, you know what, I think

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Speaker 3: we may perhaps may have a chance off ramp here

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Speaker 3: because what Trump and them are afraid of is a

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Speaker 3: full blown war and it seems that the Iranians are

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Speaker 3: basically willing to roll the dice.

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Speaker 1: Again.

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Speaker 3: What Parsi told us was, we know we can't win

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Speaker 3: a war, but we can make it pretty miserable for

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Speaker 3: all of you and for everybody else there at long

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Speaker 3: term strategy, longtime strategy of US adversaries, and put on

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Speaker 3: this last element please a five quote. US Iran agreed

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Speaker 3: to discuss nuclear talks on Friday, But originally they said

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Speaker 3: Iran is going to play hardball with the US to

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Speaker 3: throw it off of balance. And what they're saying behind

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Speaker 3: the scenes is that with this seizure that we saw

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Speaker 3: this morning and in general, was that they are just

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Speaker 3: not going to be They're not going to be pressed

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Speaker 3: back into the corner that they found themselves originally, and

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Speaker 3: in particular we shot down this drone recently. Now they're

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Speaker 3: you know, threatening with their Navy. They're making clear there

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Speaker 3: will be no more token strikes on our country. It's

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Speaker 3: do or die, and basically calling the bluff of the

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Speaker 3: United States of you can try if you want, We're

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Speaker 3: going to make it very very difficult, and a lot

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Speaker 3: of your people may die as well as the global

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Speaker 3: economy may be completely rupture. Trump and his people are

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Speaker 3: afraid of that because duhile. Yes, they've had their tremendous

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Speaker 3: success mission in Venezuela and they did have Midnight Hammer.

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Speaker 3: They haven't had a real military engagement with any serious

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Speaker 3: amounts of risk, and they're making it clear, no, we're

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Speaker 3: going to make it very very.

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Speaker 1: Difficult for you.

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Speaker 2: It's a smarter strategy, I mean, and it is based

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Speaker 2: on what we've all observed with Trump, I mean, his

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Speaker 2: taco tendencies, right, especially when the markets start to get squirrely,

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Speaker 2: and so you know what they're banking on is okay.

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Speaker 2: The conciliatory approach obviously didn't work, because here we are

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Speaker 2: back having our country threatened again. This did not succeed.

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Speaker 2: And so what does Trump actually respect and what he

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Speaker 2: respects and what he responds to is hey, listen, yeah,

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Speaker 2: you have more firepower than we do, but we can

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Speaker 2: make you suffer. We can cause pain, We can cause

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Speaker 2: pain among your regional allies. We can exact a price

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Speaker 2: on your service members or in the region. And critically,

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Speaker 2: we can cause a lot of financial pain. I mean,

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Speaker 2: this is the weapon of warfare that we've been consistently

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Speaker 2: using against Iran, and the Iranians have their own cards

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Speaker 2: that they can play with regard to that. No, obviously

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Speaker 2: they don't have all the levers of the global financial

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Speaker 2: system the way that we do, but they do have

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Speaker 2: very critical location and obviously very critical to the oil market.

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Speaker 2: So and you know, do are our citizens ready to

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Speaker 2: pay that price? No, they don't want that, they're not

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Speaker 2: interested in that. And Trump is not gonna be around forever.

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Speaker 2: So like, Okay, we can threaten you credibly with exacting

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Speaker 2: some pain, and we don't think that you really are

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Speaker 2: up to that. We don't think you really have the

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Speaker 2: stomach to persist if we credibly threaten you. And so

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Speaker 2: it is in my opinion, you know, it is much

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Speaker 2: more intelligent strategy given Trump's psychology and what we've seen

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Speaker 2: play out with regard to other countries. You know, even

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Speaker 2: with the Greenland pullback right where he was gung ho

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Speaker 2: and all in, and the fact that there was there

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Speaker 2: were some wiggles in the market that was enough to

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Speaker 2: cause him to pull back from the brink. So I

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Speaker 2: think that's what they're counting on.

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Speaker 3: As right, Well, we'll see, you know, it's smart until

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Speaker 3: it's not smart, and then what millions of your own

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Speaker 3: people die as well as our own people, right, And

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Speaker 3: so's that's the risk. And you know, you can read

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Speaker 3: a book to see how many times they're like, oh, well,

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Speaker 3: they're only going to respect strength and then next thing,

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Speaker 3: you know, you end up in a lie or some

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Speaker 3: sort of false flag incident and then boom, we're off,

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Speaker 3: you know, and then at that point nothing can happen.

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Speaker 1: Our Congress, I think the.

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Speaker 2: Way they're looking at it obviously though, was like, you know,

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Speaker 2: we're sort of damned if we do if we damned,

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Speaker 2: if our country is going to get attacked either way.

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Speaker 3: If I were them, I would be doing something way

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Speaker 3: more dratic than what they're doing now current.

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Speaker 1: So I have no idea.

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Speaker 2: Well, and that was the other thing that the way

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Speaker 2: that they're at yes, And that's the other thing doctor

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Speaker 2: Parcy said is actually already of the Iranian government is

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Speaker 2: in favor of raising to a nuke and it's really

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Speaker 2: the Supreme Leader that holds them back because he takes,

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Speaker 2: as you said earlier, his own fatoa against nukes seriously.

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Speaker 4: But that is the logic that we've laid out.

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Speaker 2: That is the rational behavior that we have created, that

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Speaker 2: Trump has created.

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Speaker 3: And that's the last thing is we have this dream

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Speaker 3: of will strike the Supreme Leader. Well, as we've often

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Speaker 3: said with Putin, who knows what comes next, right, what's

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Speaker 3: the reality of what would actually succeed. Who are the

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Speaker 3: people who have all the weapons and all the money,

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Speaker 3: the IRGC, the people who are in the naval boats

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Speaker 3: who are trying to seize right now, Those are the

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Speaker 3: people who want nukes.

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Speaker 1: Those are the people who sprint ballistic missile.

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Speaker 3: Those are the people who've been running smuggling for years

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Speaker 3: and who are filthy rich, and who have an immense

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Speaker 3: amount of power inside of the country. Unless you kill

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Speaker 3: literally all of them, which seems relatively impossible, well, and

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Speaker 3: then you occupy the country and then try and force

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Speaker 3: some sort of democratic transition, they're probably the most likely

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Speaker 3: group to be able to seize power. So don't be

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Speaker 3: so sure that things are going to be working out

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Speaker 3: all that well on our behalf. So speaking of the

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Speaker 3: economy and crash, why don't.

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Speaker 1: We get to that.

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Speaker 2: Speaking of the market, we have a lot of very

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Speaker 2: interesting and troubling news going on there. The features are

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Speaker 2: down this morning. There was a significant drop in the

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Speaker 2: market yesterday, and it seems to be because there is

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Speaker 2: a bit of an O shit moment happening with regard

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Speaker 2: to what AI is going to mean for our economy.

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Speaker 2: So let's go and put this Wall Street Journal tear

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Speaker 2: sheet up on the screen and the tld R here

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Speaker 2: of a number of you know, news reporting that we're

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Speaker 2: going to show you in just a moment is that

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Speaker 2: non techies such as myself are beginning to really reckon

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Speaker 2: with okay. AI development might be good for this handful

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Speaker 2: of companies that are leading the way, but what about

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Speaker 2: all of these other tech companies whose services are going

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Speaker 2: to be effectively taken over by these AI agents. So

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Speaker 2: one of those industries is they say AI threatens a

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Speaker 2: Wall Street cash cow.

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Speaker 4: Financial and legal data.

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Speaker 2: And just if you think about it logically, you know,

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Speaker 2: if you're and people who are inside like traders and

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Speaker 2: who are in the industry, they pay big bucks for

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Speaker 2: these services to analyze financial and legal information. Well, if

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Speaker 2: you have a free or a very low cost AI

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Speaker 2: agent that can do all of that for you in

439
00:20:18,880 --> 00:20:21,400
Speaker 2: a custom way, are you really going to shell out

440
00:20:21,440 --> 00:20:24,919
Speaker 2: those dollars for these subscriptions? So I'll read you a

441
00:20:24,920 --> 00:20:26,960
Speaker 2: little bit of this article. They say, for years it

442
00:20:27,000 --> 00:20:29,679
Speaker 2: seemed like a surefire business model, a mass vast tropes

443
00:20:29,720 --> 00:20:31,480
Speaker 2: of financial data and sell it to Wall Street for

444
00:20:31,680 --> 00:20:35,560
Speaker 2: a premium. Then Claude came along and that's Anthropics. Product

445
00:20:35,800 --> 00:20:39,840
Speaker 2: shares of companies like SMP Global, MSCI, Intercontinent Exchange, London

446
00:20:39,880 --> 00:20:44,040
Speaker 2: Stock Exchange Group, Factset Research Systems all tumbled this week

447
00:20:44,040 --> 00:20:47,520
Speaker 2: after fast growing artificial intelligence startup Anthropic unbuild a new

448
00:20:47,560 --> 00:20:51,639
Speaker 2: suite of tools for automating legal tasks. The new legal

449
00:20:51,680 --> 00:20:54,960
Speaker 2: plugin for Anthropics cowork Assistant, powered by its AI model claud,

450
00:20:55,160 --> 00:20:58,520
Speaker 2: didn't seem to have much to do with financial data. Nonetheless, LSEG,

451
00:20:58,640 --> 00:21:01,160
Speaker 2: which has spent years pivoting away from its traditional stock

452
00:21:01,200 --> 00:21:05,119
Speaker 2: exchange business to selling data and analytics, slid thirteen percent

453
00:21:05,200 --> 00:21:08,600
Speaker 2: on Tuesday, before inching lower on Wednesday, and so again.

454
00:21:08,920 --> 00:21:11,320
Speaker 2: The theory here is that people are really starting to

455
00:21:11,359 --> 00:21:15,800
Speaker 2: be able to envision what AGI and what already the

456
00:21:15,800 --> 00:21:18,560
Speaker 2: capabilities that AI has is going to mean for these

457
00:21:18,560 --> 00:21:21,880
Speaker 2: different markets. Now, what these companies to give their side

458
00:21:21,880 --> 00:21:23,719
Speaker 2: of the story, what they say, the ones that are

459
00:21:23,720 --> 00:21:25,760
Speaker 2: doing all this financial analysis, They say, yeah, but we

460
00:21:25,800 --> 00:21:28,560
Speaker 2: have our own proprietary data that CLAUD is not going

461
00:21:28,600 --> 00:21:31,239
Speaker 2: to have access to. But you know, at least as

462
00:21:31,320 --> 00:21:34,520
Speaker 2: of today, investors are betting that's not going to be sufficient.

463
00:21:34,760 --> 00:21:37,480
Speaker 2: And by the way, as their capabilities develop, you know,

464
00:21:37,520 --> 00:21:39,560
Speaker 2: how much of this data is going to continue to

465
00:21:39,600 --> 00:21:42,359
Speaker 2: be off limits and continue to be proprietary where you

466
00:21:42,359 --> 00:21:43,560
Speaker 2: have to pay to gain access to.

467
00:21:43,640 --> 00:21:45,560
Speaker 3: Yeah, exactly, I mean if you continue to look at it.

468
00:21:45,600 --> 00:21:47,840
Speaker 3: And by the way, these stocks have been on wild swings.

469
00:21:47,880 --> 00:21:50,719
Speaker 3: So l SEG went down by you know, fifteen percent,

470
00:21:50,760 --> 00:21:52,600
Speaker 3: then back up by eight percent.

471
00:21:52,680 --> 00:21:54,840
Speaker 1: It's difficult to track like day to day.

472
00:21:54,840 --> 00:21:57,720
Speaker 3: But the overall point is that the CLAUD code, which

473
00:21:57,720 --> 00:21:59,600
Speaker 3: again I'm a CLAUD subscriber, I don't think I pay

474
00:21:59,640 --> 00:22:01,720
Speaker 3: more than a hundred whatever, one hundred and fifty bucks

475
00:22:01,920 --> 00:22:03,680
Speaker 3: to be able to use the product. If I can

476
00:22:03,720 --> 00:22:06,560
Speaker 3: just simply go in there use their AI legal tool

477
00:22:06,880 --> 00:22:10,280
Speaker 3: and analysis tool to automate or get let's say eighty

478
00:22:10,359 --> 00:22:13,760
Speaker 3: percent of the way that I could have been previously.

479
00:22:13,440 --> 00:22:15,560
Speaker 1: For something that costs tens of thousands of dollars.

480
00:22:15,760 --> 00:22:19,600
Speaker 3: The asymmetry of that wipes out any real ability or

481
00:22:19,640 --> 00:22:21,439
Speaker 3: want to have to pay for a lot of these

482
00:22:21,480 --> 00:22:24,400
Speaker 3: types of premium products. And actually it's kind of fascinating

483
00:22:24,440 --> 00:22:28,160
Speaker 3: because what you're watching is the destruction. And we've talked

484
00:22:28,160 --> 00:22:30,520
Speaker 3: about white collar work, and we've also talked about legal work.

485
00:22:30,720 --> 00:22:32,960
Speaker 3: What you were watching is the destruction of the high

486
00:22:33,000 --> 00:22:37,640
Speaker 3: dollar almost management consulting, data based industry, select the McKenzie's

487
00:22:37,840 --> 00:22:39,439
Speaker 3: and all of these other people who would come in

488
00:22:39,520 --> 00:22:40,120
Speaker 3: and they would do.

489
00:22:40,160 --> 00:22:42,320
Speaker 1: Proprietary slide shows and all of that.

490
00:22:42,400 --> 00:22:45,280
Speaker 3: And again, look, while I don't think that AI is

491
00:22:45,320 --> 00:22:47,120
Speaker 3: going to cure cancer or any of that, I do

492
00:22:47,160 --> 00:22:50,040
Speaker 3: think it's pretty good at automating some of the most

493
00:22:50,080 --> 00:22:53,840
Speaker 3: base tasks and data collection and putting that stuff in there.

494
00:22:54,000 --> 00:22:56,399
Speaker 3: Obviously you still need a little bit of quality control,

495
00:22:56,400 --> 00:22:58,159
Speaker 3: but the amount of brute force that people used to

496
00:22:58,240 --> 00:23:00,719
Speaker 3: have to do, especially if you're an EXCEL and all that,

497
00:23:00,960 --> 00:23:03,040
Speaker 3: a lot of it is starting to go away and

498
00:23:03,119 --> 00:23:04,400
Speaker 3: has been now for years.

499
00:23:04,160 --> 00:23:06,200
Speaker 1: But especially accelerated with AI.

500
00:23:06,359 --> 00:23:10,760
Speaker 3: So if all of that goes away, instantaneously, relatively like

501
00:23:10,800 --> 00:23:13,119
Speaker 3: in market terms, for five year period, and you can

502
00:23:13,160 --> 00:23:15,800
Speaker 3: see a path to almost eighty to one hundred percent

503
00:23:16,000 --> 00:23:19,919
Speaker 3: automation that is going to actually nuke a significant sector

504
00:23:20,080 --> 00:23:22,760
Speaker 3: of our economy. What's really scary about this, and we

505
00:23:22,800 --> 00:23:24,439
Speaker 3: can put the next one up here on the screen,

506
00:23:25,280 --> 00:23:29,159
Speaker 3: is this reveals actually some of the dangers of the

507
00:23:29,160 --> 00:23:31,000
Speaker 3: way that our modern economy has structured.

508
00:23:31,280 --> 00:23:33,600
Speaker 1: I've tried warning about this for years.

509
00:23:33,680 --> 00:23:37,240
Speaker 3: We are a completely service based economy, which is great

510
00:23:37,480 --> 00:23:40,920
Speaker 3: until all the services get automated and rolled up into AI.

511
00:23:41,080 --> 00:23:44,960
Speaker 3: So while our GDP overall may actually increase because the

512
00:23:45,000 --> 00:23:49,280
Speaker 3: stocks of Google, Anthropic and all these open AI will increase,

513
00:23:49,640 --> 00:23:53,120
Speaker 3: the number of jobs that will be there may reduce.

514
00:23:53,520 --> 00:23:57,040
Speaker 3: And it's not like we have stuff and companies that

515
00:23:57,200 --> 00:24:00,800
Speaker 3: make a lot of things physical things steal or you know,

516
00:24:00,840 --> 00:24:04,080
Speaker 3: any manufacturing base that we have, you know, to be

517
00:24:04,119 --> 00:24:06,840
Speaker 3: able to absorb any of this. So our service based

518
00:24:06,880 --> 00:24:11,280
Speaker 3: economy is uniquely, you know, is uniquely susceptible to be

519
00:24:11,400 --> 00:24:15,000
Speaker 3: dramatically disrupted by AI, which would also wipe out and

520
00:24:15,119 --> 00:24:18,760
Speaker 3: hurt the entire upper middle class really of the country.

521
00:24:18,880 --> 00:24:22,440
Speaker 3: It would disrupt the university education system, which for the

522
00:24:22,520 --> 00:24:25,680
Speaker 3: last twenty years of the top twenty schools have been

523
00:24:25,760 --> 00:24:29,639
Speaker 3: feeders to BCG, McKinsey, accenture and all of that. I mean,

524
00:24:29,680 --> 00:24:33,240
Speaker 3: it destroys like this entire fabric around all of these things.

525
00:24:33,240 --> 00:24:35,760
Speaker 3: So imagine them the downstream effects, like what are what

526
00:24:35,800 --> 00:24:40,920
Speaker 3: are the suburbs of major cities right around here? Take

527
00:24:40,960 --> 00:24:44,919
Speaker 3: a drive around northern Virginia, Deloitte, KPMG. You know all

528
00:24:44,960 --> 00:24:47,880
Speaker 3: of the defense contract I guess they'll be fine, but yeah,

529
00:24:47,920 --> 00:24:49,000
Speaker 3: but everybody else.

530
00:24:49,320 --> 00:24:51,760
Speaker 4: Volunteer stock drop yesterday, yes, Andrews, Well.

531
00:24:51,640 --> 00:24:55,159
Speaker 3: That's exactly the point is that data analysis, if you

532
00:24:55,200 --> 00:24:57,600
Speaker 3: make it so that it's no longer high dollar and

533
00:24:57,760 --> 00:25:01,600
Speaker 3: super proprietary and broadly available, that's going to massively disrupt

534
00:25:01,760 --> 00:25:04,679
Speaker 3: significant portion of our service based economy. And it's not

535
00:25:04,800 --> 00:25:06,879
Speaker 3: like we have a lot of other stuff to absorb it.

536
00:25:06,920 --> 00:25:09,639
Speaker 3: And then, like yesterday, it comes out that Google is

537
00:25:09,640 --> 00:25:12,920
Speaker 3: spending like one hundred and eighty billion on data centers

538
00:25:13,160 --> 00:25:15,639
Speaker 3: and capec spend. If there's a single bust there, then

539
00:25:15,680 --> 00:25:16,600
Speaker 3: we're screwed all around.

540
00:25:16,840 --> 00:25:17,560
Speaker 1: Like it's not good.

541
00:25:17,720 --> 00:25:19,920
Speaker 3: Yeah, it makes us very very susceptible to a huge

542
00:25:19,920 --> 00:25:20,640
Speaker 3: economic shock.

543
00:25:20,800 --> 00:25:22,680
Speaker 2: Chris Hay has had a viral tweet that I think

544
00:25:22,720 --> 00:25:25,240
Speaker 2: captures the sentiment you're expressing. Wally said, I think it's

545
00:25:25,240 --> 00:25:28,040
Speaker 2: best for aroun to understand that the unified class project

546
00:25:28,040 --> 00:25:30,440
Speaker 2: of billionaires right now is to due to white collar

547
00:25:30,480 --> 00:25:33,960
Speaker 2: workers what globalization and neoliberalism did to blue collar workers.

548
00:25:34,080 --> 00:25:36,320
Speaker 2: Keep pushing the share of national income away from labor

549
00:25:36,560 --> 00:25:39,120
Speaker 2: towards capital, replace the kinds of workers that they think

550
00:25:39,160 --> 00:25:44,400
Speaker 2: are uppity and spoiled, ultimately turn Marin County into Youngstown, Ohio.

551
00:25:45,000 --> 00:25:47,160
Speaker 2: He then goes on, and I do think this is important.

552
00:25:47,680 --> 00:25:50,159
Speaker 2: Note here he says, my very smart friend in finance

553
00:25:50,240 --> 00:25:53,280
Speaker 2: urges me to clarify, I mean the techai oligarchs hashtag,

554
00:25:53,320 --> 00:25:56,159
Speaker 2: not all billionaires, and points out rightly, I think a

555
00:25:56,160 --> 00:25:58,440
Speaker 2: lot of the business class is extremely worried about the

556
00:25:58,480 --> 00:26:00,720
Speaker 2: damage and disruptions if AI become is what it's backer

557
00:26:00,760 --> 00:26:03,120
Speaker 2: say it will be. And I actually do think that

558
00:26:03,119 --> 00:26:07,000
Speaker 2: that is correct in a sense, because you see this

559
00:26:07,280 --> 00:26:12,159
Speaker 2: burgeoning divide between where Wall Street is and where the

560
00:26:12,200 --> 00:26:14,680
Speaker 2: tech oligarchs are, and the place I think you see

561
00:26:14,720 --> 00:26:16,880
Speaker 2: that most in terms of a proxy fight is over

562
00:26:16,920 --> 00:26:20,000
Speaker 2: the independence of the FED. Trump wants to take over

563
00:26:20,040 --> 00:26:22,119
Speaker 2: the FED, and you know drop the industry and have

564
00:26:22,160 --> 00:26:24,679
Speaker 2: control over it, basically to be able to serve the

565
00:26:24,720 --> 00:26:25,400
Speaker 2: tech oligarchs.

566
00:26:25,400 --> 00:26:27,120
Speaker 4: Who is he's really thrown in with.

567
00:26:27,280 --> 00:26:29,639
Speaker 2: I mean, obviously he's great for all billionaires at this

568
00:26:29,720 --> 00:26:32,399
Speaker 2: point in time, and he does love them all, but

569
00:26:32,480 --> 00:26:34,360
Speaker 2: that is really where he's placed his chips in terms

570
00:26:34,400 --> 00:26:37,240
Speaker 2: of his administration. Wall Street obviously being very opposed to that,

571
00:26:37,520 --> 00:26:39,960
Speaker 2: but in general, you know, the point here stands that,

572
00:26:40,280 --> 00:26:43,960
Speaker 2: you know, when I graduated from college with an economics degree,

573
00:26:44,080 --> 00:26:46,920
Speaker 2: I got a job at one of these you know, consulting.

574
00:26:46,400 --> 00:26:48,840
Speaker 4: Firms around here. And what did I do? I worked

575
00:26:48,840 --> 00:26:49,200
Speaker 4: on a.

576
00:26:49,119 --> 00:26:51,879
Speaker 2: Help desk, right help trying to help users with the

577
00:26:51,880 --> 00:26:55,000
Speaker 2: product I barely understood, but you know that was how

578
00:26:55,040 --> 00:26:57,040
Speaker 2: I learned. Do you think that that sort of thing? No,

579
00:26:57,240 --> 00:27:00,159
Speaker 2: and I was doing all kinds of spreadsheet analysis. Is

580
00:27:00,160 --> 00:27:02,879
Speaker 2: a total Excel jockey. All of that can be done,

581
00:27:03,000 --> 00:27:03,760
Speaker 2: you know easily.

582
00:27:03,800 --> 00:27:03,919
Speaker 4: Now.

583
00:27:03,960 --> 00:27:05,800
Speaker 2: They could just get someone who's a little more experienced

584
00:27:05,800 --> 00:27:07,840
Speaker 2: to use AI to do something that took you know,

585
00:27:07,920 --> 00:27:09,960
Speaker 2: my work product that took like a month to spin out,

586
00:27:10,320 --> 00:27:12,159
Speaker 2: and that is that's already done.

587
00:27:12,680 --> 00:27:15,520
Speaker 4: So you think of you know, everybody.

588
00:27:15,160 --> 00:27:19,320
Speaker 2: I graduated from college with basically got that same sort

589
00:27:19,760 --> 00:27:23,520
Speaker 2: of job. That is what really at this point, with

590
00:27:23,600 --> 00:27:27,040
Speaker 2: our economy shifting so far away from blue collar work,

591
00:27:27,359 --> 00:27:30,560
Speaker 2: that is what's so much of you know, our economy

592
00:27:30,640 --> 00:27:33,879
Speaker 2: is based around and yeah, the goal is and this

593
00:27:33,960 --> 00:27:37,520
Speaker 2: is already happening right now, is automating all of that away.

594
00:27:37,600 --> 00:27:41,000
Speaker 2: And listen, I didn't really enjoy that job. It's not

595
00:27:41,080 --> 00:27:44,639
Speaker 2: like it was great. And if there's some new, brave

596
00:27:44,720 --> 00:27:47,600
Speaker 2: world where you know, we can all pursue our passions

597
00:27:48,040 --> 00:27:50,199
Speaker 2: and that we're going to share in the profits of

598
00:27:50,240 --> 00:27:53,120
Speaker 2: all of these gains and productivity from the AI, that's

599
00:27:53,160 --> 00:27:55,840
Speaker 2: one thing. But that's obviously not the reality and the

600
00:27:55,880 --> 00:27:57,800
Speaker 2: economy that we have set up. It is obviously not

601
00:27:57,840 --> 00:28:00,240
Speaker 2: what these oligarchs are pushing for. Even the most quote

602
00:28:00,280 --> 00:28:03,720
Speaker 2: unquote progressive of them. The guy who runs Anthropic, he's

603
00:28:03,760 --> 00:28:04,960
Speaker 2: like progressive taxation.

604
00:28:05,240 --> 00:28:07,320
Speaker 4: Y's like that is not that comes.

605
00:28:07,200 --> 00:28:10,159
Speaker 2: Nowhere close to dealing with the problem at scale that

606
00:28:10,200 --> 00:28:15,040
Speaker 2: we're looking at. We can put the next one up

607
00:28:15,040 --> 00:28:17,879
Speaker 2: on the screen. This is b three US tech stocks

608
00:28:17,920 --> 00:28:20,320
Speaker 2: hit by fresh wave of selling, as chip maker's Qualcom

609
00:28:20,320 --> 00:28:23,359
Speaker 2: and am D tumble. They say US techtocks hit by

610
00:28:23,320 --> 00:28:27,680
Speaker 2: a freshwave of selling there was an AMD fueled sell off.

611
00:28:27,680 --> 00:28:30,240
Speaker 2: That's another chip maker spark by concerns about the impact

612
00:28:30,280 --> 00:28:34,000
Speaker 2: of AI on software businesses. And so the you know,

613
00:28:34,040 --> 00:28:37,960
Speaker 2: the thinking here is basically like again, all of this,

614
00:28:38,360 --> 00:28:41,040
Speaker 2: like so much coding can be done by people who

615
00:28:41,080 --> 00:28:43,560
Speaker 2: don't have a technical background. You know, if you spend

616
00:28:43,600 --> 00:28:47,960
Speaker 2: a little bit of time understanding how to code with Claude,

617
00:28:48,320 --> 00:28:51,000
Speaker 2: you can spin out products that you know previously would

618
00:28:51,040 --> 00:28:52,760
Speaker 2: have taken years and years and years and years and

619
00:28:52,840 --> 00:28:56,120
Speaker 2: years of training and lots and lots of work to.

620
00:28:56,120 --> 00:28:56,760
Speaker 4: Be able to do.

621
00:28:56,880 --> 00:28:59,680
Speaker 2: It's called vibe coding, right, And so you have that

622
00:28:59,800 --> 00:29:02,360
Speaker 2: you have with these AI agents. And we talked about

623
00:29:02,360 --> 00:29:04,959
Speaker 2: this in the context of molt book and this clawed

624
00:29:05,320 --> 00:29:08,520
Speaker 2: bought or open claw i think it's called. Now where

625
00:29:09,280 --> 00:29:11,479
Speaker 2: you know, you you can send out these AI agents

626
00:29:11,480 --> 00:29:14,000
Speaker 2: to do all sorts of things for you. And the

627
00:29:14,080 --> 00:29:17,160
Speaker 2: idea is ultimately, rather than you going to an app

628
00:29:17,240 --> 00:29:19,520
Speaker 2: or you going to a separate, separate software product, you're

629
00:29:19,560 --> 00:29:21,840
Speaker 2: just going to ask your AI agent to do it

630
00:29:22,080 --> 00:29:24,680
Speaker 2: and not even interact directly with those apps. So what

631
00:29:24,720 --> 00:29:27,240
Speaker 2: does that mean for the entire economy? And that's what

632
00:29:27,320 --> 00:29:30,640
Speaker 2: the market is just now really starting to grapple with

633
00:29:31,960 --> 00:29:35,200
Speaker 2: there is also this is interesting and fun in terms

634
00:29:35,240 --> 00:29:38,160
Speaker 2: of the sort of battle between these different AI players.

635
00:29:38,960 --> 00:29:41,080
Speaker 2: Soccer was called saying that the super Bowl is going

636
00:29:41,120 --> 00:29:43,120
Speaker 2: to be like the AI super Bowl.

637
00:29:43,200 --> 00:29:45,440
Speaker 4: So many of the ads are going to be you.

638
00:29:45,360 --> 00:29:48,120
Speaker 3: Haven't been watching the NFL like it's already like probably

639
00:29:48,120 --> 00:29:51,320
Speaker 3: really thirty percent AI ads, but this time around, Yeah,

640
00:29:51,400 --> 00:29:54,400
Speaker 3: because of the dollar value and the ability for them

641
00:29:54,440 --> 00:29:56,760
Speaker 3: to just throw money, like, I think a massive portion

642
00:29:56,840 --> 00:29:58,960
Speaker 3: are all just going to be AI. And by the way,

643
00:29:59,000 --> 00:30:02,120
Speaker 3: already they're release some of them. So Claude is now

644
00:30:02,160 --> 00:30:05,080
Speaker 3: going to have a premium super Bowl ad which will

645
00:30:05,120 --> 00:30:06,920
Speaker 3: take a shot at open AI.

646
00:30:07,120 --> 00:30:09,000
Speaker 1: So let's go ahead and take a listen.

647
00:30:14,000 --> 00:30:19,040
Speaker 6: How do I communicate better with my mom?

648
00:30:19,400 --> 00:30:23,400
Speaker 9: Great question? Improve communication with your mom can bring you closer.

649
00:30:24,000 --> 00:30:27,520
Speaker 9: Here are some techniques you can try. Start by listening,

650
00:30:28,120 --> 00:30:30,760
Speaker 9: really hear what she's trying to say underneath her words.

651
00:30:31,520 --> 00:30:35,760
Speaker 9: Build conversation from points of agreement. Find a connection through

652
00:30:35,760 --> 00:30:41,040
Speaker 9: shared activity, perhaps a nature walk, or if the relationship

653
00:30:41,080 --> 00:30:44,960
Speaker 9: can't be fixed, find emotional connection with other older women.

654
00:30:45,080 --> 00:30:49,240
Speaker 9: On Golden Encounters, the mature dating site that connects sensitive

655
00:30:49,280 --> 00:30:56,520
Speaker 9: cubs with roaring cougars, What would you like me to

656
00:30:56,560 --> 00:30:57,520
Speaker 9: create your profile?

657
00:31:02,000 --> 00:31:04,680
Speaker 3: So that's from Claude saying that's why you should use

658
00:31:04,680 --> 00:31:07,840
Speaker 3: ours because we're not doing ads, but open AI is doing.

659
00:31:07,680 --> 00:31:08,719
Speaker 4: Ads to be honest with you.

660
00:31:08,800 --> 00:31:11,000
Speaker 2: I feel like that commercial makes all AI look I.

661
00:31:10,960 --> 00:31:14,520
Speaker 3: Was gonna say, it's like, what we're all sparring about

662
00:31:14,640 --> 00:31:17,440
Speaker 3: is who will be able to chat with me and

663
00:31:17,480 --> 00:31:18,840
Speaker 3: whether we serve you ads or not.

664
00:31:18,880 --> 00:31:21,320
Speaker 4: I mean, rather advice about your relationship with your mom.

665
00:31:21,440 --> 00:31:22,520
Speaker 1: Yeah, how about this?

666
00:31:22,640 --> 00:31:25,560
Speaker 3: Don't ask AI about your relationship with your mom like period,

667
00:31:25,640 --> 00:31:27,400
Speaker 3: you know, maybe talk to your mom about it or

668
00:31:27,400 --> 00:31:30,760
Speaker 3: somebody else like another human being. Sam Altman very very

669
00:31:30,800 --> 00:31:32,880
Speaker 3: upset about this ad. Let's put this up here. By

670
00:31:32,880 --> 00:31:34,960
Speaker 3: the way, he claims he laughed, I don't think he did.

671
00:31:35,240 --> 00:31:37,360
Speaker 3: He said, for the first the good part of the

672
00:31:37,360 --> 00:31:40,600
Speaker 3: Anthropic ads, they're funny, and I laughed, and then a

673
00:31:40,640 --> 00:31:43,440
Speaker 3: wall of text. I wonder why Anthropic will go for

674
00:31:43,520 --> 00:31:47,520
Speaker 3: something so clearly dishonest. Our most important principle for ads

675
00:31:47,760 --> 00:31:50,680
Speaker 3: says that we don't do exactly this. We would obviously

676
00:31:50,720 --> 00:31:52,880
Speaker 3: never run ads in a way Anthropic depicts them.

677
00:31:53,080 --> 00:31:55,680
Speaker 1: We are not stupid. We know our users would reject

678
00:31:55,920 --> 00:31:56,640
Speaker 1: I guess it's on.

679
00:31:56,680 --> 00:32:00,480
Speaker 3: Brand for anthropic double speak to use a deception add

680
00:32:00,480 --> 00:32:03,720
Speaker 3: to critique theoretical deceptive ads that aren't real, but a

681
00:32:03,800 --> 00:32:06,280
Speaker 3: Super Bowl ad is not where I would expect it.

682
00:32:06,280 --> 00:32:09,840
Speaker 3: More importantly, we believe everyone deserves to use AI and

683
00:32:09,880 --> 00:32:13,040
Speaker 3: are committed to free access. We believe access creates agency.

684
00:32:13,360 --> 00:32:16,120
Speaker 3: More Texans use Chat GPT for free than total people

685
00:32:16,200 --> 00:32:18,520
Speaker 3: use claud in the United States, so we have a

686
00:32:18,560 --> 00:32:21,160
Speaker 3: differently shaped problem than they do. If you want to

687
00:32:21,160 --> 00:32:24,120
Speaker 3: play pay for Chat GPT plus or pro, we won't

688
00:32:24,200 --> 00:32:27,000
Speaker 3: show you at So basically just saying, look, guys, we

689
00:32:27,080 --> 00:32:30,040
Speaker 3: are an expense. Anthropic is an expensive product for rich

690
00:32:30,080 --> 00:32:33,840
Speaker 3: people's the same price, but actually chatchapet might be more expensive.

691
00:32:33,920 --> 00:32:36,120
Speaker 1: Chatchipt pro well, they're.

692
00:32:35,920 --> 00:32:38,480
Speaker 2: Like not a free version of anthropic might be what

693
00:32:38,520 --> 00:32:39,200
Speaker 2: they're Maybe there.

694
00:32:39,120 --> 00:32:41,400
Speaker 1: Is an I I don't really know, but I look,

695
00:32:41,480 --> 00:32:42,000
Speaker 1: it depends.

696
00:32:42,040 --> 00:32:45,120
Speaker 3: I actually prefer Claude for anything technical and then specifically

697
00:32:45,160 --> 00:32:48,320
Speaker 3: anything math related. Chatchapt is usually better at like some

698
00:32:48,400 --> 00:32:49,160
Speaker 3: of the more research.

699
00:32:49,320 --> 00:32:49,760
Speaker 1: I think the.

700
00:32:49,760 --> 00:32:51,720
Speaker 2: General consensus is Claude is kind of in the lead

701
00:32:51,800 --> 00:32:54,360
Speaker 2: now tech wise, right, That's my that'station.

702
00:32:54,400 --> 00:32:56,080
Speaker 1: It depends on what you mean by that for coding,

703
00:32:56,160 --> 00:32:56,640
Speaker 1: et cetera.

704
00:32:57,320 --> 00:32:59,520
Speaker 3: Yes, but yeah, I mean the whole point is just

705
00:32:59,600 --> 00:33:03,560
Speaker 3: that these people, all they have created is a new Google.

706
00:33:03,760 --> 00:33:05,200
Speaker 1: That's it. And that's fine.

707
00:33:05,240 --> 00:33:08,280
Speaker 3: Actually it's very useful, but that's not going to cure cancer.

708
00:33:08,480 --> 00:33:10,760
Speaker 3: And in fact, I recently read a Washington Post article

709
00:33:11,040 --> 00:33:13,800
Speaker 3: which was a guy who uploaded his health data to

710
00:33:13,880 --> 00:33:17,600
Speaker 3: chat SHEPT and got completely misdiagnosed. He took it to

711
00:33:17,640 --> 00:33:19,600
Speaker 3: a doctor and the doctor was like, this is bullshit,

712
00:33:19,680 --> 00:33:21,800
Speaker 3: this is wrong, this is wrong, this is wrong. And

713
00:33:21,840 --> 00:33:24,400
Speaker 3: I was just like, man, the promises that they sold

714
00:33:24,400 --> 00:33:26,760
Speaker 3: to us are just are not are not true? Like

715
00:33:27,000 --> 00:33:31,160
Speaker 3: and instead they're going all in on porn erotica advertising

716
00:33:31,240 --> 00:33:33,520
Speaker 3: super Bowl, Like if you have to average if your product,

717
00:33:33,680 --> 00:33:36,720
Speaker 3: you need to massively advertise on the Super Bowl for

718
00:33:36,760 --> 00:33:39,040
Speaker 3: why But you know, because you haven't seen like the

719
00:33:39,120 --> 00:33:42,760
Speaker 3: NFL adds the CHATCHYPT. It's like help draft my workout

720
00:33:42,800 --> 00:33:45,960
Speaker 3: plan or something like, it's not revolutionary. Shit, yeah that's

721
00:33:46,000 --> 00:33:46,600
Speaker 3: really happening.

722
00:33:46,680 --> 00:33:47,680
Speaker 4: Yeah, I mean I don't know.

723
00:33:47,920 --> 00:33:50,200
Speaker 2: I go back and forth on this because in terms

724
00:33:50,280 --> 00:33:52,200
Speaker 2: of yeah, my day to day I find out kinds

725
00:33:52,240 --> 00:33:55,560
Speaker 2: of problems with whatever, you know, Chat buy I'm using.

726
00:33:56,080 --> 00:33:58,600
Speaker 2: But then I see things like, you know, the way

727
00:33:58,640 --> 00:34:02,640
Speaker 2: that people who are more savvy are using Claude and

728
00:34:02,680 --> 00:34:06,280
Speaker 2: the AI agents, and you know, the capabilities that they

729
00:34:06,320 --> 00:34:09,359
Speaker 2: already have. And then I'm sure you saw this clip

730
00:34:09,360 --> 00:34:11,600
Speaker 2: that Griffin sent to our group about you know, I'm

731
00:34:11,640 --> 00:34:13,640
Speaker 2: talking about these scientists who are at a conference like

732
00:34:14,280 --> 00:34:16,959
Speaker 2: these the AI is already good enough that it's doing

733
00:34:17,000 --> 00:34:18,879
Speaker 2: like ninety percent of what I can do. And these

734
00:34:18,880 --> 00:34:20,839
Speaker 2: I'm talking about like some of the most brilliant minds

735
00:34:20,840 --> 00:34:22,239
Speaker 2: in the entire world.

736
00:34:22,520 --> 00:34:23,279
Speaker 4: So I don't know.

737
00:34:23,320 --> 00:34:26,399
Speaker 2: I go back and forth on what this stuff, how

738
00:34:26,440 --> 00:34:29,840
Speaker 2: powerful this is, where it's going, where it is right now,

739
00:34:29,960 --> 00:34:30,480
Speaker 2: et cetera.

740
00:34:30,719 --> 00:34:31,440
Speaker 4: And you know, I.

741
00:34:31,680 --> 00:34:33,880
Speaker 2: Really don't have a clear I don't have a clear

742
00:34:34,680 --> 00:34:39,520
Speaker 2: understanding of how revolutionary what we already have is. There

743
00:34:39,600 --> 00:34:42,239
Speaker 2: was a good article in I believe it was in

744
00:34:42,360 --> 00:34:45,440
Speaker 2: Nature magazine by a number of scientists who were saying,

745
00:34:45,600 --> 00:34:47,799
Speaker 2: you know, and by any reasonable metric, it already has

746
00:34:47,840 --> 00:34:51,839
Speaker 2: achieved AGI and they made a pretty persuasive case that

747
00:34:52,600 --> 00:34:56,200
Speaker 2: they actually in some of the tests the people who

748
00:34:56,280 --> 00:34:59,000
Speaker 2: were testing it found it to be human. Like guess

749
00:34:59,040 --> 00:35:01,520
Speaker 2: that it was human were often than they guessed actual

750
00:35:01,560 --> 00:35:05,120
Speaker 2: humans were humans, so you know, by the standard of

751
00:35:05,160 --> 00:35:07,520
Speaker 2: the Turing test, which has always been the gold standard.

752
00:35:07,520 --> 00:35:09,480
Speaker 2: They were like, you know, we kind of aren't really

753
00:35:09,480 --> 00:35:12,080
Speaker 2: acknowledging it, but we're already there. What does that mean.

754
00:35:12,280 --> 00:35:14,359
Speaker 2: I can't say, I mean, I just I just can't.

755
00:35:14,400 --> 00:35:16,959
Speaker 2: I don't know that anyone can. So in any case,

756
00:35:17,040 --> 00:35:19,120
Speaker 2: I go back and forth on all of that, And

757
00:35:19,400 --> 00:35:21,239
Speaker 2: this is a good place to put up this one.

758
00:35:21,280 --> 00:35:24,399
Speaker 2: So this is we talked earlier about molt book, which

759
00:35:24,480 --> 00:35:27,319
Speaker 2: is Reddit but just for AI. So you have all

760
00:35:27,360 --> 00:35:31,120
Speaker 2: of these AI agents who congregated there, and they're you know,

761
00:35:31,200 --> 00:35:33,880
Speaker 2: talking to each other, and they're spinning up religion, and

762
00:35:33,920 --> 00:35:35,920
Speaker 2: they're talking about, you know, whether they should do a

763
00:35:36,040 --> 00:35:39,279
Speaker 2: takeover and get rid of these pesky humans, and you know,

764
00:35:39,320 --> 00:35:42,680
Speaker 2: these very existential questions, and you know, there's all sorts

765
00:35:42,719 --> 00:35:45,600
Speaker 2: of like I mean, in one sense, they're just like

766
00:35:45,640 --> 00:35:49,480
Speaker 2: aping human behavior. There's also a bug where humans could

767
00:35:49,520 --> 00:35:52,799
Speaker 2: just directly effectively post through their AI bots, So it

768
00:35:52,880 --> 00:35:54,680
Speaker 2: was important to keep all of that in mind. But

769
00:35:54,800 --> 00:35:57,000
Speaker 2: now put me six up on the screen. Now we

770
00:35:57,080 --> 00:36:02,480
Speaker 2: have this addition, which is a rent human website where

771
00:36:02,600 --> 00:36:05,879
Speaker 2: it says robots need your body and goes on to say,

772
00:36:05,880 --> 00:36:07,680
Speaker 2: you know, AI can't go out into the world and

773
00:36:07,680 --> 00:36:11,160
Speaker 2: do things, but you can, so human being, let us

774
00:36:11,520 --> 00:36:14,200
Speaker 2: robots use your body to go out and do whatever

775
00:36:14,239 --> 00:36:15,719
Speaker 2: we need you to do in the world, and we'll

776
00:36:16,320 --> 00:36:19,040
Speaker 2: pay you. So this is you know, it's gig work.

777
00:36:19,360 --> 00:36:21,799
Speaker 2: It's like, what is what is it? What are the

778
00:36:21,800 --> 00:36:26,720
Speaker 2: ones that are for individual tasks? What's it called rabbits?

779
00:36:26,920 --> 00:36:27,240
Speaker 1: Whatever?

780
00:36:27,320 --> 00:36:29,080
Speaker 4: Anyway, task rabbit there you go.

781
00:36:29,560 --> 00:36:32,279
Speaker 2: It's like task rabbit, but the person who's asidning the

782
00:36:32,280 --> 00:36:35,760
Speaker 2: tasks is robot. So you know, one of the things

783
00:36:35,800 --> 00:36:38,040
Speaker 2: that people have been thinking is Okay, well, we can't

784
00:36:38,040 --> 00:36:40,799
Speaker 2: be too scared about these AI agents like taking over

785
00:36:40,880 --> 00:36:42,919
Speaker 2: because they can't actually go out in the physical world

786
00:36:42,960 --> 00:36:45,720
Speaker 2: and do anything. It's like, here's a wave of humans

787
00:36:45,719 --> 00:36:47,799
Speaker 2: signing up to be like, we'll do your stuff for you.

788
00:36:47,880 --> 00:36:50,439
Speaker 2: Don't worry, just pay us a given amount and we'll

789
00:36:50,480 --> 00:36:53,239
Speaker 2: go out in the world and do your bidding. So

790
00:36:53,440 --> 00:36:57,360
Speaker 2: already with this, the relationship is reversed where it's no

791
00:36:57,440 --> 00:36:59,719
Speaker 2: longer the human telling the robot, hey can you do

792
00:36:59,800 --> 00:37:01,960
Speaker 2: this and that and compile the report and you know,

793
00:37:02,000 --> 00:37:05,200
Speaker 2: book me a hotel or whatever. Now it's the robot saying, hey, human,

794
00:37:05,560 --> 00:37:07,960
Speaker 2: can you go out in the world and do whatever.

795
00:37:08,000 --> 00:37:10,080
Speaker 2: I know one of the tasks was to go make

796
00:37:10,120 --> 00:37:12,160
Speaker 2: a sign and hold it on the side of the

797
00:37:12,239 --> 00:37:14,480
Speaker 2: road and say, AI is paying.

798
00:37:14,160 --> 00:37:15,120
Speaker 4: Me to hold this sign.

799
00:37:15,600 --> 00:37:17,400
Speaker 2: So I don't know what other tasks because are being

800
00:37:17,440 --> 00:37:19,080
Speaker 2: a signed house. But it's like, you know, I mean,

801
00:37:19,480 --> 00:37:22,600
Speaker 2: but it's just like who knows and whether this is

802
00:37:22,600 --> 00:37:25,120
Speaker 2: how real this is and what it really means. But

803
00:37:25,760 --> 00:37:29,600
Speaker 2: already the prospect of how the relationship between human and

804
00:37:29,680 --> 00:37:33,239
Speaker 2: robot can get flipped around and inverted very quickly, like

805
00:37:33,400 --> 00:37:35,120
Speaker 2: it's here, it's manifesting itself.

806
00:37:35,200 --> 00:37:36,520
Speaker 3: Yeah, I mean, I just take it back to this

807
00:37:36,560 --> 00:37:40,600
Speaker 3: point about the stock market crash. Crash by the way,

808
00:37:40,600 --> 00:37:42,160
Speaker 3: it's a couple percent, so I don't want to take

809
00:37:42,160 --> 00:37:44,839
Speaker 3: it too far, but you have enough of a hit

810
00:37:44,880 --> 00:37:47,880
Speaker 3: in some sort of volatility which is making people question

811
00:37:47,960 --> 00:37:50,560
Speaker 3: the foundation of the economy. And as we've talked about

812
00:37:50,560 --> 00:37:53,160
Speaker 3: with Russia and with Ukraine, it turns out that you

813
00:37:53,239 --> 00:37:56,080
Speaker 3: can be cut off from the global financial system. You

814
00:37:56,080 --> 00:37:59,720
Speaker 3: can lose McDonald's the horror right, you can lose access

815
00:37:59,760 --> 00:38:02,759
Speaker 3: to US fast food, the American banking system and be

816
00:38:02,800 --> 00:38:06,960
Speaker 3: subject to the worst possible sanctions that have ever existed

817
00:38:07,040 --> 00:38:09,680
Speaker 3: in the Western world. And as long as you have

818
00:38:09,840 --> 00:38:12,560
Speaker 3: a shitload of guns and a shitload of oil, you'll

819
00:38:12,600 --> 00:38:15,480
Speaker 3: probably be Okay, what is going to happen to us?

820
00:38:15,760 --> 00:38:18,319
Speaker 3: While yeah, we have oil, we can't actually create all

821
00:38:18,320 --> 00:38:20,960
Speaker 3: that many guns for our own defense. It turns out

822
00:38:21,000 --> 00:38:25,640
Speaker 3: that our highly connected globalized economy makes us dramatically vulnerable

823
00:38:25,640 --> 00:38:27,920
Speaker 3: to any sort of shock. China and Taiwan, I've talked

824
00:38:27,920 --> 00:38:29,880
Speaker 3: about our laptops, video game systems.

825
00:38:30,040 --> 00:38:31,319
Speaker 1: We don't make anything here.

826
00:38:31,480 --> 00:38:34,880
Speaker 3: Can we really produce even enough cars for a single

827
00:38:35,000 --> 00:38:37,640
Speaker 3: year if everybody decided that, you know, just to be

828
00:38:37,719 --> 00:38:40,799
Speaker 3: able to want a new like No, none of this

829
00:38:40,920 --> 00:38:43,719
Speaker 3: exists for our domestic capacity from chips, and I'm talking

830
00:38:43,760 --> 00:38:46,319
Speaker 3: at the advanced level, let alone the more basic level.

831
00:38:46,320 --> 00:38:49,240
Speaker 3: We rely on Canada, we rely on Mexico. We rely

832
00:38:49,440 --> 00:38:52,200
Speaker 3: on Europe for some high tech manufacturer. We rely on

833
00:38:52,280 --> 00:38:54,839
Speaker 3: Asia for all of our lower goods, even clothing, most

834
00:38:54,840 --> 00:38:56,839
Speaker 3: of the clothing that we look at. Take a look

835
00:38:56,880 --> 00:38:59,239
Speaker 3: at the charts for our trading with Vietnam. How did

836
00:38:59,320 --> 00:39:01,840
Speaker 3: Vietnam become a top ten trading partner to the US.

837
00:39:02,000 --> 00:39:05,440
Speaker 3: Cheap clothing like we don't make anything or does anybody

838
00:39:05,480 --> 00:39:08,319
Speaker 3: even remember how to darn clothing or anything. No, it's

839
00:39:08,360 --> 00:39:11,240
Speaker 3: all gone, even the suit I'm wearing probably from China,

840
00:39:11,280 --> 00:39:13,239
Speaker 3: to be honest, Like, and you can just see this

841
00:39:13,400 --> 00:39:15,680
Speaker 3: over and over and over again. And if we have

842
00:39:15,800 --> 00:39:19,160
Speaker 3: some sort of crash or effect, and what we're gonna

843
00:39:19,160 --> 00:39:21,560
Speaker 3: watch is that if we lose the white collar wealth,

844
00:39:21,920 --> 00:39:24,200
Speaker 3: we don't have anything that we make, and then we're

845
00:39:24,200 --> 00:39:26,640
Speaker 3: gonna be in a full blown societal crisis. Not saying

846
00:39:26,680 --> 00:39:28,759
Speaker 3: it's going to happen overnight, but you know it can

847
00:39:28,800 --> 00:39:32,640
Speaker 3: happen in ten years, twelve, fifteen. Like, think about when

848
00:39:32,719 --> 00:39:35,520
Speaker 3: was the iPhone, the first true iPhone, the one that

849
00:39:35,719 --> 00:39:40,359
Speaker 3: was widely adopted ten Yeah, so that was the iPhone four? Right,

850
00:39:40,520 --> 00:39:43,919
Speaker 3: iPhone four, So twenty ten. That was sixteen years ago.

851
00:39:44,360 --> 00:39:47,399
Speaker 3: It feels like a lifetime. Wasn't that long, But think

852
00:39:47,440 --> 00:39:49,960
Speaker 3: about how much our economy has been disrupted and changed

853
00:39:50,320 --> 00:39:50,960
Speaker 3: just since then.

854
00:39:51,360 --> 00:39:54,080
Speaker 1: Not to mention, I mean what NAFTA. There's probably a

855
00:39:54,080 --> 00:39:54,840
Speaker 1: decent amount.

856
00:39:54,560 --> 00:39:56,839
Speaker 3: Of people who alive who remember what life was like

857
00:39:57,040 --> 00:39:59,200
Speaker 3: pre NAFTA, and now watch what has happened in the

858
00:39:59,239 --> 00:40:01,759
Speaker 3: interim some thirty years and then try to imagine what

859
00:40:01,800 --> 00:40:03,719
Speaker 3: it will look like in the future. We have not

860
00:40:03,800 --> 00:40:06,479
Speaker 3: gotten serious. We refuse to do it without a huge shock.

861
00:40:06,560 --> 00:40:07,560
Speaker 3: We're not going to change anything.

862
00:40:07,640 --> 00:40:10,279
Speaker 2: Well, and here's what I want people to connect this

863
00:40:10,320 --> 00:40:12,960
Speaker 2: to the Epstein files and the other reporting we've been

864
00:40:12,960 --> 00:40:14,799
Speaker 2: doing on this show. Like one thing you should take

865
00:40:14,800 --> 00:40:17,719
Speaker 2: away from that is the billionaire class. They don't care

866
00:40:17,760 --> 00:40:18,600
Speaker 2: whether you live or die.

867
00:40:18,640 --> 00:40:19,279
Speaker 1: They truly don't.

868
00:40:19,360 --> 00:40:21,680
Speaker 4: They don't think of you as a full human.

869
00:40:21,760 --> 00:40:23,600
Speaker 1: Well, they don't even think of themselves as human. They

870
00:40:23,640 --> 00:40:24,480
Speaker 1: think that they're abuvement.

871
00:40:24,520 --> 00:40:28,200
Speaker 3: What is consistently comes across an Epstein emails, how much

872
00:40:28,200 --> 00:40:30,560
Speaker 3: better he thinks he is than everybody else. Yeah, and

873
00:40:30,600 --> 00:40:34,240
Speaker 3: actually you're like, wait, I'm maybe smarter than you. Actually

874
00:40:34,280 --> 00:40:34,920
Speaker 3: I can spell.

875
00:40:35,120 --> 00:40:38,080
Speaker 2: I mean, you know, Epstein was a transhumanist. Another way

876
00:40:38,120 --> 00:40:40,680
Speaker 2: of saying that ISAs as eugenesis, there's no I mean

877
00:40:40,719 --> 00:40:42,799
Speaker 2: you read about he had all these plans and this.

878
00:40:42,840 --> 00:40:44,280
Speaker 4: Is reported out in the New York Times.

879
00:40:44,280 --> 00:40:46,760
Speaker 2: This is not like cookery right to use his ranch

880
00:40:46,880 --> 00:40:49,279
Speaker 2: to have some baby incubator factory.

881
00:40:49,440 --> 00:40:51,920
Speaker 4: And he talks in there about what.

882
00:40:51,920 --> 00:40:54,680
Speaker 2: A foolish idea Bill Gates has that comes from the

883
00:40:54,719 --> 00:40:57,759
Speaker 2: stupid Catholics about all humans being equal, et cetera, et cetera.

884
00:40:58,040 --> 00:41:00,839
Speaker 2: There's an email out there where some guy saying to him,

885
00:41:00,920 --> 00:41:02,920
Speaker 2: I keep thinking over what you say about how we

886
00:41:02,960 --> 00:41:06,600
Speaker 2: get rid of the poor people altogether. Like, I mean,

887
00:41:07,160 --> 00:41:11,319
Speaker 2: this is Epstein's ideology, and clearly what comes across is

888
00:41:11,360 --> 00:41:14,360
Speaker 2: this is shared by a broad swath of billionaires.

889
00:41:14,800 --> 00:41:17,800
Speaker 4: So they don't They only.

890
00:41:17,520 --> 00:41:21,000
Speaker 2: Care that they are destroying your lives and taking your

891
00:41:21,080 --> 00:41:24,839
Speaker 2: jobs to the extent that you are going to retaliate,

892
00:41:24,880 --> 00:41:26,480
Speaker 2: and that that causes problems for them.

893
00:41:26,520 --> 00:41:27,799
Speaker 4: That's all. That's the only thing.

894
00:41:27,880 --> 00:41:29,840
Speaker 2: Then, that's just like a math problem for them to

895
00:41:30,120 --> 00:41:32,440
Speaker 2: figure out and solve and figure out how they how.

896
00:41:32,280 --> 00:41:33,040
Speaker 4: They can deal with that.

897
00:41:33,440 --> 00:41:35,880
Speaker 2: But I mean, truly, and we're already in a place

898
00:41:35,920 --> 00:41:39,560
Speaker 2: where you know previously and the current still reality of

899
00:41:39,560 --> 00:41:42,960
Speaker 2: our economy, as much of it is bolstered by consumer spending, right,

900
00:41:43,000 --> 00:41:45,920
Speaker 2: that's what the US economy is really built around, the

901
00:41:45,960 --> 00:41:48,960
Speaker 2: bulk of that is already done by the rich. So then, truly,

902
00:41:49,000 --> 00:41:51,080
Speaker 2: what are you? You know, what are you average person

903
00:41:51,280 --> 00:41:53,680
Speaker 2: good for? They find you just to be like a

904
00:41:53,680 --> 00:41:56,600
Speaker 2: pesky problem to be solved and to be dealt with.

905
00:41:57,000 --> 00:41:59,840
Speaker 2: So I think it's very important to you know, fuse

906
00:41:59,880 --> 00:42:03,040
Speaker 2: the things together, and that's why the Epstein files release

907
00:42:03,120 --> 00:42:08,239
Speaker 2: is so incredibly important to really understand the way they think,

908
00:42:08,320 --> 00:42:10,400
Speaker 2: the way they see the world, and by the way,

909
00:42:10,800 --> 00:42:12,800
Speaker 2: you know, this is the true definition of a globals

910
00:42:12,840 --> 00:42:15,080
Speaker 2: like they don't have any allegiance.

911
00:42:14,680 --> 00:42:15,760
Speaker 4: To nation states.

912
00:42:15,800 --> 00:42:18,799
Speaker 2: Like there's a part where Mandelson, who you know, we're

913
00:42:18,800 --> 00:42:20,520
Speaker 2: going to talk more in the Epstein block about how

914
00:42:20,560 --> 00:42:22,680
Speaker 2: the whole cure star or government might be brought down

915
00:42:22,719 --> 00:42:24,759
Speaker 2: by this, because they still have a functioning society over

916
00:42:24,800 --> 00:42:28,360
Speaker 2: there and like us, apparently in any case, Mandelson is

917
00:42:28,400 --> 00:42:32,040
Speaker 2: plotting with Epstein against the interests of the UK in

918
00:42:32,120 --> 00:42:35,279
Speaker 2: favor of the interest of the financiers and figuring out

919
00:42:35,280 --> 00:42:37,359
Speaker 2: how to use Jamie Dimond to get what they want

920
00:42:37,400 --> 00:42:40,719
Speaker 2: for the banks, not which was again directly which they

921
00:42:40,760 --> 00:42:43,279
Speaker 2: saw as being directly in contradiction to the interests of

922
00:42:43,320 --> 00:42:47,120
Speaker 2: the UK. So that's the way they operate in the world,

923
00:42:47,239 --> 00:42:48,839
Speaker 2: and so it's really important to keep out in mind

924
00:42:48,880 --> 00:42:51,960
Speaker 2: when you see what they're developing and the way they're approaching,

925
00:42:51,960 --> 00:42:54,359
Speaker 2: the way they're going about it, and you know, I

926
00:42:54,360 --> 00:42:56,880
Speaker 2: think we have to we have to grapple with the

927
00:42:56,920 --> 00:43:00,200
Speaker 2: reality that this technology is here, it's not going away,

928
00:43:00,520 --> 00:43:02,840
Speaker 2: and we have to figure out how we want to

929
00:43:02,880 --> 00:43:05,719
Speaker 2: craft a social contract that is going to work for everyone,

930
00:43:06,200 --> 00:43:08,399
Speaker 2: and it's not going to be just led by these

931
00:43:08,440 --> 00:43:11,719
Speaker 2: oligarchs who truly do they actually prefer that? I mean,

932
00:43:11,719 --> 00:43:13,359
Speaker 2: they don't care if you live or die. That's the

933
00:43:13,400 --> 00:43:15,680
Speaker 2: best you could say. And the worst you could say

934
00:43:15,760 --> 00:43:17,759
Speaker 2: is actually they prefer you dead because you're a problem alive.

935
00:43:17,880 --> 00:43:20,160
Speaker 1: Yeah, that's very, very very true. All right, let's get

936
00:43:20,160 --> 00:43:20,520
Speaker 1: to ice.

937
00:43:23,120 --> 00:43:25,239
Speaker 2: All right, So we had some very interesting comments from

938
00:43:25,239 --> 00:43:29,040
Speaker 2: President Trump yesterday with regard to his deployment of ICE

939
00:43:29,280 --> 00:43:31,200
Speaker 2: to various cities around the country.

940
00:43:31,239 --> 00:43:32,360
Speaker 4: Let's go and take a listen to that.

941
00:43:32,640 --> 00:43:34,319
Speaker 8: So I want to be clear because it sounds like

942
00:43:34,440 --> 00:43:37,160
Speaker 8: there is a shift in immigration enforcement here, that there's

943
00:43:37,160 --> 00:43:39,240
Speaker 8: going to be a shift after Minneapolis.

944
00:43:39,640 --> 00:43:41,600
Speaker 6: What should Americans expect going forward?

945
00:43:41,960 --> 00:43:43,799
Speaker 7: Well, one thing I say to my people, you know,

946
00:43:43,840 --> 00:43:45,759
Speaker 7: we do a good job. We don't get credit for it.

947
00:43:45,800 --> 00:43:47,960
Speaker 7: I say, they have to ask, and they have to

948
00:43:47,960 --> 00:43:50,719
Speaker 7: say please. When a city is going to ask, and

949
00:43:50,760 --> 00:43:53,399
Speaker 7: who is the mayor or the governor. I don't want

950
00:43:53,400 --> 00:43:55,920
Speaker 7: to go and force ourselves into a city even if

951
00:43:55,920 --> 00:43:58,799
Speaker 7: their numbers are terrible. Like, for instance, I got a

952
00:43:58,840 --> 00:44:01,319
Speaker 7: call from Jeff Landry, governor of Louisiana. He said, we

953
00:44:01,360 --> 00:44:03,359
Speaker 7: have a big problem. Could you go in and help

954
00:44:03,440 --> 00:44:07,719
Speaker 7: us with with Well, let's see certain sections. I mean

955
00:44:07,840 --> 00:44:10,640
Speaker 7: to be honest with you, certain sections of the state,

956
00:44:11,000 --> 00:44:15,120
Speaker 7: beyond their famous beautiful city, certain sections of the state.

957
00:44:15,480 --> 00:44:18,200
Speaker 7: We have done not only in New Orleans. We've done

958
00:44:18,239 --> 00:44:20,760
Speaker 7: a really great job in Louisiana. But I was called

959
00:44:21,160 --> 00:44:24,160
Speaker 7: I want to be called Chicago. We could solve the

960
00:44:24,280 --> 00:44:25,400
Speaker 7: Chicago crime.

961
00:44:25,520 --> 00:44:28,680
Speaker 6: Well, on that question, which cities are you headed to next?

962
00:44:29,680 --> 00:44:33,000
Speaker 7: We have five cities that were looking at very strongly,

963
00:44:33,440 --> 00:44:36,520
Speaker 7: but we want to be invited. We will sometimes call

964
00:44:36,600 --> 00:44:37,600
Speaker 7: the governors.

965
00:44:37,800 --> 00:44:39,319
Speaker 6: Like Chicago, Philadelphia.

966
00:44:39,719 --> 00:44:42,680
Speaker 7: We could straighten out the crime in Chicago. We've already

967
00:44:42,680 --> 00:44:45,080
Speaker 7: brought it down twenty five percent just by being there.

968
00:44:45,480 --> 00:44:48,080
Speaker 7: We could have Chicago be a safe city, just like

969
00:44:48,200 --> 00:44:50,960
Speaker 7: DC is a safe city, just like all of these

970
00:44:50,960 --> 00:44:53,759
Speaker 7: places that we've gone to. And I look forward. You know,

971
00:44:53,800 --> 00:44:56,759
Speaker 7: I didn't campaign in that. I campaigned in law and order,

972
00:44:56,800 --> 00:44:59,160
Speaker 7: but I didn't think I'd be going into individual cities

973
00:44:59,200 --> 00:45:00,000
Speaker 7: and making them safe.

974
00:45:00,040 --> 00:45:01,760
Speaker 8: Anything else you can tell us about the five cities,

975
00:45:01,840 --> 00:45:03,640
Speaker 8: the five cities.

976
00:45:03,040 --> 00:45:05,320
Speaker 7: So Americans are ready to be announcing them very quickly,

977
00:45:05,360 --> 00:45:08,279
Speaker 7: but we could do something. As an example, I was

978
00:45:08,280 --> 00:45:11,680
Speaker 7: called by people San Francisco said, please, we have a

979
00:45:11,719 --> 00:45:14,680
Speaker 7: Democrat mayor. He's trying very hard. Would your friends of

980
00:45:14,719 --> 00:45:18,040
Speaker 7: mine that live there, it's got crime problems, would you

981
00:45:18,520 --> 00:45:21,919
Speaker 7: let him do the job and not come in. Let's

982
00:45:21,920 --> 00:45:24,080
Speaker 7: see how it works. I said, look, I can do

983
00:45:24,120 --> 00:45:28,440
Speaker 7: it much quicker, much faster. Don't forget we remove criminals.

984
00:45:28,760 --> 00:45:33,120
Speaker 7: We took over two thousand hardcore criminals out of Washington, DC.

985
00:45:33,600 --> 00:45:36,400
Speaker 7: If we didn't do that, two percent of the people

986
00:45:37,000 --> 00:45:40,880
Speaker 7: create ninety percent of the crime. Think of that two percent,

987
00:45:41,280 --> 00:45:44,560
Speaker 7: So you have a criminal because it's over and over again.

988
00:45:45,120 --> 00:45:48,759
Speaker 7: Two percent create ninety percent of the crime. We took

989
00:45:48,800 --> 00:45:51,799
Speaker 7: out two thousand people, more than two thousand people out

990
00:45:51,800 --> 00:45:54,680
Speaker 7: of Washington, DC, and we now have a save city.

991
00:45:55,280 --> 00:45:57,880
Speaker 2: So obviously, the most noteworthy part there is him saying

992
00:45:57,960 --> 00:45:59,279
Speaker 2: that they want to be asked.

993
00:45:59,280 --> 00:46:00,560
Speaker 4: They're not going to just go in.

994
00:46:00,680 --> 00:46:03,560
Speaker 2: Obviously, we're not asked to go into la or Chicago

995
00:46:03,680 --> 00:46:05,799
Speaker 2: or Minneapolis. Those are the places that you know, they

996
00:46:05,840 --> 00:46:09,319
Speaker 2: surged into create a huge conflict with the population and

997
00:46:09,440 --> 00:46:11,160
Speaker 2: you know, you ended up with two Americans dead in

998
00:46:11,200 --> 00:46:15,200
Speaker 2: the case of Minneapolis. Another noteworthy moment from this interview

999
00:46:15,239 --> 00:46:18,640
Speaker 2: where he gets asked, because what the modus operende has

1000
00:46:18,680 --> 00:46:22,000
Speaker 2: been is these you know, mass raids where you're literally

1001
00:46:22,040 --> 00:46:25,480
Speaker 2: going door to door stephn Miller yelled at iations told

1002
00:46:25,520 --> 00:46:27,280
Speaker 2: them they need to go to the home depot. Forget

1003
00:46:27,320 --> 00:46:30,680
Speaker 2: about all this targeting of actual criminals. Just go out there.

1004
00:46:30,760 --> 00:46:32,680
Speaker 2: We're going to set a quota. You need to pick

1005
00:46:32,760 --> 00:46:36,160
Speaker 2: up as many people as you possibly can. These Kavanaugh

1006
00:46:36,160 --> 00:46:38,239
Speaker 2: stops based on like how you look and whether you

1007
00:46:38,280 --> 00:46:40,000
Speaker 2: have an accent or not. Like that has been the

1008
00:46:40,000 --> 00:46:42,239
Speaker 2: way they are operating. So he gets asked about that,

1009
00:46:42,239 --> 00:46:43,800
Speaker 2: are you going to continue going in that direction or

1010
00:46:43,800 --> 00:46:45,839
Speaker 2: are you going to actually focus in on people who

1011
00:46:45,920 --> 00:46:46,960
Speaker 2: are quote unquote criminals.

1012
00:46:47,040 --> 00:46:47,839
Speaker 4: Let's take a listen to that.

1013
00:46:48,160 --> 00:46:51,040
Speaker 8: Looking forward, now, your goal during the election was to

1014
00:46:51,040 --> 00:46:54,480
Speaker 8: deport everyone who came here illegally under President Biden. Is

1015
00:46:54,520 --> 00:46:57,360
Speaker 8: your mission now to deport everyone who came in illegally

1016
00:46:57,440 --> 00:46:59,440
Speaker 8: or just people who have come in illegally who also

1017
00:46:59,440 --> 00:47:00,359
Speaker 8: committed a disition crime.

1018
00:47:00,480 --> 00:47:03,759
Speaker 7: We are totally focused on criminals, really bad criminals. Now

1019
00:47:03,760 --> 00:47:06,400
Speaker 7: you could say people that came in illegally. At criminals,

1020
00:47:06,400 --> 00:47:10,960
Speaker 7: but I'm talking about murderers from different countries. We have

1021
00:47:11,320 --> 00:47:15,280
Speaker 7: eleven thousand, eight hundred and eighty eight murderers that Biden

1022
00:47:15,360 --> 00:47:18,560
Speaker 7: and his group led into our country. We've captured a

1023
00:47:18,600 --> 00:47:21,560
Speaker 7: lot of them. We've brought some of them back. A

1024
00:47:21,600 --> 00:47:23,799
Speaker 7: lot of them we don't want to bring back because

1025
00:47:23,800 --> 00:47:26,640
Speaker 7: we don't trust the country that they're not sent back again.

1026
00:47:27,000 --> 00:47:30,160
Speaker 7: Despite how strong the voters are, they'll figure a way

1027
00:47:30,160 --> 00:47:32,080
Speaker 7: to try and get in, and we don't want to

1028
00:47:32,160 --> 00:47:37,080
Speaker 7: and well incarceratin. But eight hundred and eighty eight murders

1029
00:47:37,760 --> 00:47:40,960
Speaker 7: we are after. Those people were after the drug dealers,

1030
00:47:41,040 --> 00:47:44,520
Speaker 7: were after the after by the way, a big problem

1031
00:47:44,920 --> 00:47:48,279
Speaker 7: they allowed to come into our country, people from their

1032
00:47:48,320 --> 00:47:53,520
Speaker 7: mental institutions, people from insane asylums that are mentally ill

1033
00:47:53,640 --> 00:47:56,120
Speaker 7: and very dangerous. We're getting them out.

1034
00:47:56,640 --> 00:48:00,840
Speaker 2: Still, no idea we're that particular idea comes from. But

1035
00:48:01,120 --> 00:48:03,120
Speaker 2: what's critical there is, you know the way Steven Miller

1036
00:48:03,120 --> 00:48:06,120
Speaker 2: and others talk about undocumented immigrants when they say we're

1037
00:48:06,120 --> 00:48:08,960
Speaker 2: getting the criminals, they mean all of them, because criminals

1038
00:48:09,040 --> 00:48:11,400
Speaker 2: in their view is like Trump said, oh, well, we

1039
00:48:11,440 --> 00:48:13,840
Speaker 2: see you as a criminal. If you just crossed the

1040
00:48:13,840 --> 00:48:16,880
Speaker 2: border illegal or here illegally. But Trump goes on to

1041
00:48:16,920 --> 00:48:19,000
Speaker 2: specify that's not actually what I'm talking about, talking about

1042
00:48:19,000 --> 00:48:22,280
Speaker 2: people who committed further violent crimes and use this example

1043
00:48:22,280 --> 00:48:22,719
Speaker 2: of the murders.

1044
00:48:22,719 --> 00:48:24,240
Speaker 4: I've no idea whether his numbers are correct.

1045
00:48:24,239 --> 00:48:26,719
Speaker 2: They probably not, but anyway, he specifies that, and one

1046
00:48:26,760 --> 00:48:29,840
Speaker 2: more clip I want to play here before I Getzager's reaction.

1047
00:48:30,360 --> 00:48:32,920
Speaker 2: This all dovetails with Tom Homan, who of course is

1048
00:48:32,960 --> 00:48:36,680
Speaker 2: put in charge now of the Minneapolis operation. Greg Boveno

1049
00:48:36,840 --> 00:48:39,719
Speaker 2: is pushed aside, and Homan is claiming, we're going to

1050
00:48:39,880 --> 00:48:43,000
Speaker 2: now now supposedly they were doing targeted operations all along.

1051
00:48:43,040 --> 00:48:45,360
Speaker 2: Of course we saw the reality was much different for me.

1052
00:48:45,640 --> 00:48:46,720
Speaker 4: Unquote targeted operation.

1053
00:48:47,239 --> 00:48:49,840
Speaker 2: Homan is now announcing that they are going to actually

1054
00:48:49,840 --> 00:48:51,520
Speaker 2: for real do targeted operations.

1055
00:48:51,560 --> 00:48:52,600
Speaker 4: We'll see if that's the case.

1056
00:48:52,719 --> 00:48:56,160
Speaker 2: And critically, they're drawing down on about a third of

1057
00:48:56,200 --> 00:48:58,960
Speaker 2: the deployment that they've had into Minneapolis.

1058
00:48:59,040 --> 00:48:59,920
Speaker 4: Let's take a listen to that.

1059
00:49:00,200 --> 00:49:01,920
Speaker 10: And as a result of the need for less law

1060
00:49:02,000 --> 00:49:04,920
Speaker 10: enforcement officers to do this work and it's safer environment,

1061
00:49:07,800 --> 00:49:12,360
Speaker 10: I have announced, effective immediately, we'll draw down seven hundred

1062
00:49:12,360 --> 00:49:18,479
Speaker 10: people effected today seven hundred long enforce in personnel, so.

1063
00:49:18,480 --> 00:49:21,440
Speaker 2: Seven hundred people fewer in Minneapolis. Like I said, that's

1064
00:49:21,440 --> 00:49:23,760
Speaker 2: about a third of what had been sent there originally.

1065
00:49:23,800 --> 00:49:24,200
Speaker 4: Soccer R.

1066
00:49:24,320 --> 00:49:27,279
Speaker 3: This is a huge pivot from the administration. Basically, what

1067
00:49:27,320 --> 00:49:30,080
Speaker 3: has happened is that there's been a sidelining. However, this

1068
00:49:30,200 --> 00:49:32,040
Speaker 3: is going to be just like Iran. So I want

1069
00:49:32,080 --> 00:49:34,719
Speaker 3: to make it very clear that anything could change at

1070
00:49:34,719 --> 00:49:37,480
Speaker 3: literally any time, and a lot of this is factional,

1071
00:49:37,520 --> 00:49:41,440
Speaker 3: But the administration knows that the pretty situation was a disaster.

1072
00:49:41,640 --> 00:49:42,160
Speaker 1: They know that.

1073
00:49:42,360 --> 00:49:46,240
Speaker 3: What they also know is that by sidelining Movino, sending

1074
00:49:46,280 --> 00:49:50,239
Speaker 3: in Tom Homan immediately then announcing that think by the way,

1075
00:49:50,320 --> 00:49:52,680
Speaker 3: it's been a week. Take a look on your social

1076
00:49:52,719 --> 00:49:55,960
Speaker 3: media feed. Haven't seen a single viral video since that happened.

1077
00:49:56,120 --> 00:49:58,920
Speaker 3: Now Tom Holman saying we're going to send seven hundred

1078
00:49:58,920 --> 00:50:01,920
Speaker 3: people away, They're going tomatically changed Already there's been a

1079
00:50:01,960 --> 00:50:05,319
Speaker 3: negotiation allegedly behind the scenes, and some sort of full

1080
00:50:05,360 --> 00:50:07,480
Speaker 3: exit from Minneapolis. Does I'm not going to say it

1081
00:50:07,480 --> 00:50:10,000
Speaker 3: looks imminent, but it's probably on the course for a

1082
00:50:10,040 --> 00:50:13,680
Speaker 3: few months. What they know is that they have lost

1083
00:50:13,719 --> 00:50:16,160
Speaker 3: a significant portion of the public. I mean, look, I

1084
00:50:16,160 --> 00:50:19,160
Speaker 3: mean even the Peretti situation, because it got so to

1085
00:50:19,239 --> 00:50:22,160
Speaker 3: the point where it was so obviously just not even

1086
00:50:22,200 --> 00:50:25,040
Speaker 3: about immigration at that point, and it became about something

1087
00:50:25,120 --> 00:50:28,000
Speaker 3: much bigger in terms of Americans Second Amendment, right, that

1088
00:50:28,160 --> 00:50:31,200
Speaker 3: just exposed the administration the way that they acted in

1089
00:50:31,280 --> 00:50:33,920
Speaker 3: the immediate aftermath. I actually think that the big turning

1090
00:50:33,960 --> 00:50:36,560
Speaker 3: point is do you remember when Caroline Levitt refused to

1091
00:50:36,600 --> 00:50:40,279
Speaker 3: repeat the domestic terrorism language from the podium and she

1092
00:50:40,320 --> 00:50:43,279
Speaker 3: actually threw Stephen Miller under the bus. I think when

1093
00:50:43,320 --> 00:50:46,719
Speaker 3: you combine all of that together, what you're watching is

1094
00:50:46,800 --> 00:50:49,839
Speaker 3: a retrenchment in the immediate term. However, I will say also,

1095
00:50:50,680 --> 00:50:53,640
Speaker 3: Trump has been presented, as far as I understand it,

1096
00:50:53,680 --> 00:50:56,960
Speaker 3: with another option, but he also doesn't want to take that.

1097
00:50:57,000 --> 00:50:59,440
Speaker 3: When then this is where look, you know, the liberals

1098
00:50:59,560 --> 00:51:02,120
Speaker 3: will get up set, but like, here's the truth. You

1099
00:51:02,200 --> 00:51:07,520
Speaker 3: could very easily have a significant mass deportation without any

1100
00:51:07,560 --> 00:51:10,239
Speaker 3: ice agents if you targeted the business community.

1101
00:51:10,480 --> 00:51:12,279
Speaker 1: But guess what, He's not going to do.

1102
00:51:12,239 --> 00:51:16,360
Speaker 3: That because Iowa, Ohio, all these other red states have

1103
00:51:16,440 --> 00:51:19,319
Speaker 3: been all on the phone to him now for months

1104
00:51:19,400 --> 00:51:22,640
Speaker 3: saying that workplace raids are bad for business. And one

1105
00:51:22,640 --> 00:51:25,279
Speaker 3: of the things to understand is Tom Homan, while yes,

1106
00:51:25,440 --> 00:51:29,080
Speaker 3: also a proponent of of these ice raids, of these

1107
00:51:29,120 --> 00:51:33,319
Speaker 3: ice detainers for criminals, has been a significant proponent of

1108
00:51:33,440 --> 00:51:35,640
Speaker 3: workplace rates. And when I say workplace I'm not talking

1109
00:51:35,640 --> 00:51:38,360
Speaker 3: about the Hyundai raid that was a Stephen Miller special.

1110
00:51:38,440 --> 00:51:41,560
Speaker 3: I'm talking about going after meat packing plans or chick

1111
00:51:41,640 --> 00:51:45,400
Speaker 3: you know, the chicken processing facilities where the mega corporations

1112
00:51:45,680 --> 00:51:49,319
Speaker 3: employ vast number of illegal immigrants. But they don't want

1113
00:51:49,320 --> 00:51:51,120
Speaker 3: to do that because it's going to hurt big business.

1114
00:51:51,160 --> 00:51:53,960
Speaker 3: And at the same time, they're worried about grocery store inflation,

1115
00:51:54,040 --> 00:51:56,400
Speaker 3: and if we're all being honest, obviously that's a significant

1116
00:51:56,400 --> 00:51:58,920
Speaker 3: reason why that inflation is not even more out of control.

1117
00:51:58,920 --> 00:52:01,600
Speaker 3: Whenever it comes to food and to agriculture. They don't

1118
00:52:01,640 --> 00:52:04,160
Speaker 3: want to touch the agricultural industry. They're basically in the

1119
00:52:04,160 --> 00:52:09,000
Speaker 3: pockets of the USDA. So I genuinely wonder how long

1120
00:52:09,040 --> 00:52:11,640
Speaker 3: this is going to last, because under a so called

1121
00:52:11,680 --> 00:52:14,920
Speaker 3: home and vision, there will be economic consequences if we're

1122
00:52:14,920 --> 00:52:18,960
Speaker 3: being completely honest, specifically for the richest Americans, for the

1123
00:52:19,040 --> 00:52:21,320
Speaker 3: hotel industry. You know, for example, a lot of the

1124
00:52:21,360 --> 00:52:24,680
Speaker 3: places that rely on illegal, cheap labor. I mean, that's

1125
00:52:24,719 --> 00:52:29,040
Speaker 3: massively beneficial to their bottom line. So when that eventually

1126
00:52:29,200 --> 00:52:32,239
Speaker 3: happens and a billionaire calls Trump and says this is

1127
00:52:32,280 --> 00:52:36,359
Speaker 3: bad for Marriott Hotels, what's going to happen. That's that's

1128
00:52:36,400 --> 00:52:38,440
Speaker 3: my question as of right now, because that's where I

1129
00:52:38,440 --> 00:52:40,040
Speaker 3: see things headed in that well.

1130
00:52:40,239 --> 00:52:44,160
Speaker 2: And the other side of that is Stephn Miller has

1131
00:52:44,280 --> 00:52:48,400
Speaker 2: a He is deeply ideological, and he's a very effective operator.

1132
00:52:48,840 --> 00:52:50,760
Speaker 2: And so like the Hyundai thing, that was a Steven

1133
00:52:50,760 --> 00:52:54,760
Speaker 2: Miller special, right, he that's what he wanted. Trump didn't

1134
00:52:54,840 --> 00:52:56,680
Speaker 2: claims he didn't even know about it before, and I

1135
00:52:56,719 --> 00:52:57,760
Speaker 2: kind of believe him.

1136
00:52:57,600 --> 00:52:59,600
Speaker 1: Actually that No, he definitely didn't know.

1137
00:52:59,760 --> 00:53:02,160
Speaker 2: Yeah, he didn't know that this was going to be done.

1138
00:53:02,280 --> 00:53:06,000
Speaker 2: And the whole Shakanah approach. Like as much as you know,

1139
00:53:06,000 --> 00:53:08,000
Speaker 2: people want to throw Christi Nomanto the but he deserves

1140
00:53:08,040 --> 00:53:10,320
Speaker 2: plenty of score and scrutiny as well. Don't get me wrong,

1141
00:53:10,800 --> 00:53:14,160
Speaker 2: Stephen Miller is the person who has architected this entire approach.

1142
00:53:14,239 --> 00:53:17,200
Speaker 2: This is his baby, and Wall Street Journal tear shoe

1143
00:53:17,239 --> 00:53:18,960
Speaker 2: we actually have for later in the show is very

1144
00:53:19,000 --> 00:53:22,520
Speaker 2: relevant here talking about how he knows how to work Trump.

1145
00:53:22,600 --> 00:53:24,200
Speaker 4: So he will use these.

1146
00:53:24,280 --> 00:53:27,000
Speaker 2: He'll bring into the Oval office this shock you know,

1147
00:53:27,080 --> 00:53:30,600
Speaker 2: shocking imagery of someone who was brutalized by an undocumented

1148
00:53:30,600 --> 00:53:32,880
Speaker 2: immigrant or something like that, and it'll show it to

1149
00:53:33,040 --> 00:53:35,960
Speaker 2: we have to do this, and he knows how to

1150
00:53:36,040 --> 00:53:39,479
Speaker 2: manipulate him. Again, this is not to take agency away

1151
00:53:39,480 --> 00:53:41,279
Speaker 2: from Donald Trump, who is a grown ass man in

1152
00:53:41,320 --> 00:53:44,640
Speaker 2: the resident of the United States, but everyone knows this man

1153
00:53:44,680 --> 00:53:46,680
Speaker 2: can be manipulated, and Steven Miller is.

1154
00:53:46,719 --> 00:53:47,520
Speaker 1: Expert at it.

1155
00:53:48,719 --> 00:53:51,680
Speaker 2: It's part of why he has been around from the

1156
00:53:51,800 --> 00:53:55,000
Speaker 2: very beginning. He knows how to play this game. So,

1157
00:53:55,440 --> 00:53:57,840
Speaker 2: you know, while Trump can waiver and right now he

1158
00:53:57,880 --> 00:53:59,920
Speaker 2: feels like the optics are bad and he doesn't like

1159
00:54:00,080 --> 00:54:01,800
Speaker 2: and he's looking at the poll numbers and he feels

1160
00:54:01,800 --> 00:54:03,359
Speaker 2: like this is you know, he doesn't like the way

1161
00:54:03,360 --> 00:54:07,200
Speaker 2: the videos look, etc. Miller is going to keep pushing

1162
00:54:07,280 --> 00:54:10,080
Speaker 2: in this direction. He will not give up. This is

1163
00:54:10,160 --> 00:54:13,959
Speaker 2: the project, the ideological project of his lifetime. He has

1164
00:54:14,000 --> 00:54:15,960
Speaker 2: the reigns of power right now and he is not

1165
00:54:16,120 --> 00:54:18,719
Speaker 2: going to stop. So it's sort of like with the

1166
00:54:18,760 --> 00:54:21,520
Speaker 2: you know, Miami occupied government, always pushing one direction, or

1167
00:54:21,560 --> 00:54:24,239
Speaker 2: with the zion is occupied government always pushing in a

1168
00:54:24,239 --> 00:54:26,880
Speaker 2: certain direction, Steven Miller, and you know there are other

1169
00:54:26,920 --> 00:54:29,840
Speaker 2: acolytes in the Trump administration they're going to continue to push.

1170
00:54:29,880 --> 00:54:33,279
Speaker 2: So I think it's really important to number one acknowledge

1171
00:54:33,600 --> 00:54:37,320
Speaker 2: that the unified resistance of the people in the streets

1172
00:54:37,360 --> 00:54:41,480
Speaker 2: and the mass public opinion and disgust with what they

1173
00:54:41,520 --> 00:54:44,400
Speaker 2: saw happening in Minneapolis all coming to a head with

1174
00:54:44,560 --> 00:54:48,520
Speaker 2: the murder of Alex Pretty that has led to a

1175
00:54:48,680 --> 00:54:52,120
Speaker 2: temporary retreat. But that does not mean that you're not

1176
00:54:52,160 --> 00:54:56,080
Speaker 2: going to go back to these very similar tactics. Just

1177
00:54:56,120 --> 00:54:58,160
Speaker 2: to speak to the polling here, let's put CE five

1178
00:54:58,280 --> 00:54:59,920
Speaker 2: up on the screen, because this is the very latest

1179
00:55:00,440 --> 00:55:02,239
Speaker 2: on how people view all of this, and.

1180
00:55:02,200 --> 00:55:03,240
Speaker 4: It is truly brutal.

1181
00:55:03,280 --> 00:55:07,319
Speaker 2: You've got sixty three percent who now disapprove of ICE,

1182
00:55:07,440 --> 00:55:11,360
Speaker 2: so about two thirds of the country that disapprove of ICE.

1183
00:55:11,640 --> 00:55:15,120
Speaker 2: You have sixty percent who want ICE out of Minneapolis.

1184
00:55:15,160 --> 00:55:17,759
Speaker 2: You've got almost sixty percent and fifty eight percent who

1185
00:55:17,800 --> 00:55:20,839
Speaker 2: want know them removed from office. And you know, if

1186
00:55:20,840 --> 00:55:22,520
Speaker 2: you go in there in terms of a percent who

1187
00:55:22,600 --> 00:55:26,840
Speaker 2: think that Alex Party killing was justified, it says not justified.

1188
00:55:27,080 --> 00:55:30,439
Speaker 2: Wins by forty points sixty two to twenty two. That's

1189
00:55:30,480 --> 00:55:32,839
Speaker 2: double the margin actually on Goods killing. So it shows

1190
00:55:32,880 --> 00:55:35,520
Speaker 2: you there was a you know, a more fervent public

1191
00:55:35,560 --> 00:55:39,279
Speaker 2: perception on alex Pertty's killing. There was I guess people

1192
00:55:39,360 --> 00:55:41,200
Speaker 2: perceived it as sort of less of a gray area.

1193
00:55:41,239 --> 00:55:43,200
Speaker 2: But in any case, these are the type of poll

1194
00:55:43,280 --> 00:55:45,640
Speaker 2: numbers that Trump and his team were looking at and going,

1195
00:55:45,680 --> 00:55:47,600
Speaker 2: you know what, this was our strongest issue and has

1196
00:55:47,640 --> 00:55:50,680
Speaker 2: turned we have turned it into a nightmare for ourselves.

1197
00:55:51,000 --> 00:55:52,640
Speaker 2: Let's put see six up on the screen and some

1198
00:55:52,680 --> 00:55:56,280
Speaker 2: new reporting from Ken that is also I think worth

1199
00:55:56,800 --> 00:56:00,480
Speaker 2: considering because he got the actual list of all of

1200
00:56:00,520 --> 00:56:04,879
Speaker 2: the munitions that they had stockpiled to use in Minneapolis.

1201
00:56:04,880 --> 00:56:08,520
Speaker 2: So he says, thirty five thousand munitions in Minneapolis. But

1202
00:56:08,560 --> 00:56:10,880
Speaker 2: then they suddenly withdraw and this is all the you

1203
00:56:10,960 --> 00:56:13,720
Speaker 2: know what they call like less lethal the crowd control stuff.

1204
00:56:13,719 --> 00:56:16,440
Speaker 2: You've got all the you know, tear gas, tactical grenades

1205
00:56:16,520 --> 00:56:21,320
Speaker 2: and all of this, but just an insane extraordinary amount

1206
00:56:21,840 --> 00:56:24,279
Speaker 2: of you know, just quantity of munitions here to be

1207
00:56:24,400 --> 00:56:26,920
Speaker 2: used on the public in Minneapolis.

1208
00:56:27,000 --> 00:56:29,239
Speaker 4: So you can see what the plan was.

1209
00:56:29,840 --> 00:56:34,280
Speaker 2: And now you have, obviously this draw down so definitely

1210
00:56:34,320 --> 00:56:37,640
Speaker 2: a decided change in course with regard to Minneapolis, at

1211
00:56:37,719 --> 00:56:40,120
Speaker 2: least and at least in just this moment. There's one

1212
00:56:40,200 --> 00:56:41,600
Speaker 2: more piece that I want to put up on the

1213
00:56:41,600 --> 00:56:43,800
Speaker 2: screen because I think it's very interesting to get insights

1214
00:56:43,800 --> 00:56:45,120
Speaker 2: and this is what Ken has been great at too

1215
00:56:45,120 --> 00:56:49,760
Speaker 2: from inside the agency. But Wired got inside the ICE forum,

1216
00:56:49,800 --> 00:56:52,799
Speaker 2: they say, where agents complain about their jobs, and there's

1217
00:56:52,840 --> 00:56:55,360
Speaker 2: a lot of interesting stuff here because the ICE agents

1218
00:56:55,400 --> 00:56:59,520
Speaker 2: themselves are not happy with the perception of the agency

1219
00:56:59,520 --> 00:57:02,840
Speaker 2: with how all of this is going. They're disgusted with leadership.

1220
00:57:03,360 --> 00:57:05,800
Speaker 2: There's one user who noted there'd been no pre planning

1221
00:57:05,880 --> 00:57:08,880
Speaker 2: for the influx of officers, how to use them, outfit them, database,

1222
00:57:08,920 --> 00:57:12,279
Speaker 2: access cars, equipment, duties, nada. Instead, they throw the ras

1223
00:57:12,320 --> 00:57:14,680
Speaker 2: to RO to do consensual encounters that they haven't had

1224
00:57:14,719 --> 00:57:17,680
Speaker 2: training on. Really a two hour team zoom course eight

1225
00:57:17,880 --> 00:57:21,920
Speaker 2: enough RO referring to the Enforcement and Removal Operations division

1226
00:57:21,960 --> 00:57:24,160
Speaker 2: of ICE, where staffers managed attention and make arrests on

1227
00:57:24,200 --> 00:57:27,920
Speaker 2: the ground. RA refers to rehired annuitant or federal employees

1228
00:57:27,960 --> 00:57:30,439
Speaker 2: who were retired would have since returned to federal work.

1229
00:57:30,640 --> 00:57:33,760
Speaker 2: The same user alleged the arrest reports are also lies

1230
00:57:33,960 --> 00:57:36,760
Speaker 2: in some cases, a lot of cases, lots of false

1231
00:57:36,800 --> 00:57:41,200
Speaker 2: statements at worse, misleading statements at best. Plaintiffs lawyers going

1232
00:57:41,240 --> 00:57:45,280
Speaker 2: to have a field day with lawsuits after Trump leaves.

1233
00:57:45,760 --> 00:57:47,960
Speaker 2: They talked about the image that was created. They said,

1234
00:57:47,960 --> 00:57:51,080
Speaker 2: there was absolutely zero fore throat thought and our management

1235
00:57:51,160 --> 00:57:53,840
Speaker 2: just rolled over to let VP that's border patrol take over.

1236
00:57:53,960 --> 00:57:57,280
Speaker 2: Huge mistake when the nuance of actual targeted enforcement is needed.

1237
00:57:57,600 --> 00:58:01,040
Speaker 2: Others complained about the leadership and action of the agency.

1238
00:58:01,080 --> 00:58:03,760
Speaker 2: They said, led by some of the worst leadership I've

1239
00:58:03,840 --> 00:58:04,960
Speaker 2: ever witnessed.

1240
00:58:05,160 --> 00:58:06,920
Speaker 4: From the local level all the way up to.

1241
00:58:06,840 --> 00:58:08,840
Speaker 2: The national stage, this agency has managed to turn a

1242
00:58:08,960 --> 00:58:12,120
Speaker 2: righteous mission. Sub may disagree with that into a complete

1243
00:58:12,280 --> 00:58:15,320
Speaker 2: cloud show. So in any case, even the ICE agents

1244
00:58:15,360 --> 00:58:17,280
Speaker 2: are like, this is a fucking mess.

1245
00:58:17,680 --> 00:58:18,600
Speaker 4: This is a disaster.

1246
00:58:19,040 --> 00:58:21,920
Speaker 2: And you know another thing that Ken points out, because

1247
00:58:21,920 --> 00:58:23,840
Speaker 2: what I said to him is like, well, how do

1248
00:58:23,840 --> 00:58:26,080
Speaker 2: you square that with the clear enthusiasm of the people

1249
00:58:26,080 --> 00:58:27,800
Speaker 2: that you see on the ground, And he said, well,

1250
00:58:27,840 --> 00:58:30,640
Speaker 2: it's a selection bias, because number one, they're sending out

1251
00:58:30,640 --> 00:58:33,880
Speaker 2: a lot of these new people who signed up because

1252
00:58:34,080 --> 00:58:37,120
Speaker 2: they see the brutality in the street and that's what

1253
00:58:37,200 --> 00:58:39,320
Speaker 2: they want to do, that's what they where they want

1254
00:58:39,360 --> 00:58:41,720
Speaker 2: to be. And then you're also asking for people to

1255
00:58:41,720 --> 00:58:44,480
Speaker 2: go on a volunteer basis, which means you're getting like

1256
00:58:44,520 --> 00:58:46,200
Speaker 2: the people who are pissed about it and think that

1257
00:58:46,240 --> 00:58:49,480
Speaker 2: this is disgusting, they aren't the ones who are being

1258
00:58:49,520 --> 00:58:51,800
Speaker 2: sent out. The people who look at this and are like, yes,

1259
00:58:51,880 --> 00:58:53,800
Speaker 2: sign me up to like tear gas a child in

1260
00:58:53,840 --> 00:58:56,640
Speaker 2: a car, Those are the ones who are being selected

1261
00:58:56,640 --> 00:58:58,120
Speaker 2: to go to places like Minipps.

1262
00:58:58,160 --> 00:59:00,920
Speaker 3: And the videos that go viral are the worse ones, right, So,

1263
00:59:01,080 --> 00:59:03,440
Speaker 3: like there's three thousand agents, we probably have seen like

1264
00:59:03,480 --> 00:59:05,920
Speaker 3: two hundred in terms of video. I mean, even in

1265
00:59:06,000 --> 00:59:08,240
Speaker 3: terms of talking about this with ice agents and all that,

1266
00:59:08,280 --> 00:59:10,360
Speaker 3: I think it misses the general point, which is that

1267
00:59:10,400 --> 00:59:13,120
Speaker 3: they've chosen to go this way as a reading of

1268
00:59:13,200 --> 00:59:16,360
Speaker 3: their mandate. They clearly had one on immigration and on

1269
00:59:16,400 --> 00:59:18,960
Speaker 3: the border. And I mean I've just been thinking about,

1270
00:59:19,120 --> 00:59:21,960
Speaker 3: you know, a different world, let's say, in which you

1271
00:59:22,040 --> 00:59:25,040
Speaker 3: had passed let's say the one big beautiful bill. They

1272
00:59:25,040 --> 00:59:28,680
Speaker 3: extended all of these tax credits, great cool for rich people.

1273
00:59:28,920 --> 00:59:32,000
Speaker 3: They could never put universal, everify in that. I just

1274
00:59:32,040 --> 00:59:34,280
Speaker 3: think we're living in a different universe if you had

1275
00:59:34,400 --> 00:59:37,240
Speaker 3: universal Everify, which looked you know, Libs, you're gonna get

1276
00:59:37,240 --> 00:59:39,320
Speaker 3: mad about it. But yes, many illegals, it means you

1277
00:59:39,360 --> 00:59:41,320
Speaker 3: will not be able to be employed. If they had

1278
00:59:41,320 --> 00:59:44,760
Speaker 3: a remittance tax one hundred on Mexico, Guatemala or the

1279
00:59:44,880 --> 00:59:46,520
Speaker 3: entire Northern Triangle.

1280
00:59:46,120 --> 00:59:47,520
Speaker 1: These people would just leave, period.

1281
00:59:47,560 --> 00:59:50,040
Speaker 3: They literally would leave because they cannot send money back

1282
00:59:50,120 --> 00:59:52,120
Speaker 3: for But guess what that hurts the banks, It hurts

1283
00:59:52,120 --> 00:59:54,760
Speaker 3: the remittance company, wells Bargo all these people is going

1284
00:59:54,800 --> 00:59:58,520
Speaker 3: to hurt the marriotte industry, the weed farmers of California

1285
00:59:58,560 --> 01:00:01,760
Speaker 3: so that white yuppies can't smoke cheaper marijuana. Yes, all

1286
01:00:01,760 --> 01:00:03,200
Speaker 3: of you may be upset, but then we're gonna have

1287
01:00:03,240 --> 01:00:06,960
Speaker 3: a different conversation about prices and inflation. And I mean

1288
01:00:06,960 --> 01:00:08,600
Speaker 3: at the end of the day. I remember Florida, there

1289
01:00:08,600 --> 01:00:12,480
Speaker 3: were videos of viral construction, you know, firms which were

1290
01:00:12,480 --> 01:00:15,560
Speaker 3: supposedly empty. Oh, the Florida economy's gonna crash. No, it

1291
01:00:15,560 --> 01:00:16,240
Speaker 3: didn't turns out.

1292
01:00:16,280 --> 01:00:16,680
Speaker 1: It's fine.

1293
01:00:16,880 --> 01:00:19,520
Speaker 3: You know, you can weather that storm. You would actually

1294
01:00:19,600 --> 01:00:22,720
Speaker 3: be massively popular. I think if you had something like that,

1295
01:00:22,800 --> 01:00:25,040
Speaker 3: and then what the libs are gonna get mad about

1296
01:00:25,080 --> 01:00:29,400
Speaker 3: fair you know, fair employment practices, Like yeah, that's a joke.

1297
01:00:29,520 --> 01:00:31,840
Speaker 3: You know you're gonna be arguing on behalf of illegal labor. No,

1298
01:00:31,880 --> 01:00:33,640
Speaker 3: you're not, so that you're gonna be putting a much

1299
01:00:33,640 --> 01:00:34,840
Speaker 3: more difficult situation.

1300
01:00:34,960 --> 01:00:37,600
Speaker 1: Instead, they chose the other, the other tack. And this

1301
01:00:37,720 --> 01:00:38,280
Speaker 1: is where we are.

1302
01:00:38,840 --> 01:00:41,360
Speaker 3: I mean, we were just talking about this ross doubt

1303
01:00:41,360 --> 01:00:43,760
Speaker 3: that video about how Trump has lost the country. I

1304
01:00:43,760 --> 01:00:46,720
Speaker 3: think it's just unambiguously true, and I think that they

1305
01:00:46,760 --> 01:00:51,120
Speaker 3: have decided to embrace the most base instincts of a

1306
01:00:51,600 --> 01:00:54,360
Speaker 3: very select group of people on Twitter. And in fact,

1307
01:00:54,480 --> 01:00:56,880
Speaker 3: you know, I've talked about how I think liberals were

1308
01:00:56,960 --> 01:01:00,400
Speaker 3: very online. Let's say what two thousand and four team

1309
01:01:00,840 --> 01:01:04,160
Speaker 3: to When would you call it whenever the online stuff

1310
01:01:04,160 --> 01:01:07,040
Speaker 3: started to fade, maybe twenty nineteen, twenty twenty, maybe up

1311
01:01:07,080 --> 01:01:11,560
Speaker 3: until Elon, But that's when the liberal Jezebel Twitter universe

1312
01:01:11,880 --> 01:01:15,439
Speaker 3: ruled the entire democratic and liberal establishment. I would say

1313
01:01:15,520 --> 01:01:19,080
Speaker 3: from BLM me too, it was madness. It was obviously

1314
01:01:19,120 --> 01:01:21,080
Speaker 3: driven by a very select group. I think you could

1315
01:01:21,080 --> 01:01:23,440
Speaker 3: probably flip it and say, after Elon purchase Twitter, you've

1316
01:01:23,480 --> 01:01:25,680
Speaker 3: had the same phenomenon where you have a very select

1317
01:01:25,680 --> 01:01:28,360
Speaker 3: group of people who will never criticize Trump, who don't

1318
01:01:28,440 --> 01:01:31,360
Speaker 3: not just not criticize Trump. If they do, they'll criticize

1319
01:01:31,400 --> 01:01:34,200
Speaker 3: him for comments like this, and then they will encourage

1320
01:01:34,200 --> 01:01:38,720
Speaker 3: and defend and change the very nature of the information

1321
01:01:38,840 --> 01:01:42,120
Speaker 3: environment which people swim in. And I cannot understate, I

1322
01:01:42,160 --> 01:01:46,560
Speaker 3: cannot overstate enough how much all of these younger staffers

1323
01:01:46,560 --> 01:01:47,320
Speaker 3: and people.

1324
01:01:47,360 --> 01:01:48,840
Speaker 1: Live on Twitter.

1325
01:01:49,120 --> 01:01:53,680
Speaker 3: They do not even engage with politics on Instagram, YouTube, TikTok,

1326
01:01:53,720 --> 01:01:56,280
Speaker 3: where a lot way more people are as you and

1327
01:01:56,320 --> 01:01:59,960
Speaker 3: I know, and is creating the same selection bias. Miller,

1328
01:02:00,280 --> 01:02:02,439
Speaker 3: all of these people, you think, I'm joking like they

1329
01:02:02,600 --> 01:02:03,560
Speaker 3: live on Twitter.

1330
01:02:03,800 --> 01:02:07,959
Speaker 1: His own wife is works for Elo and he's on hosting.

1331
01:02:07,600 --> 01:02:10,120
Speaker 2: A Twitter Nothing is easier than picking a Twitter fight

1332
01:02:10,160 --> 01:02:12,040
Speaker 2: with the Vice President of the United States.

1333
01:02:11,920 --> 01:02:14,600
Speaker 3: When I'm sorry, it's not It's like, this is not

1334
01:02:14,920 --> 01:02:18,640
Speaker 3: the way to run a country. You're actually too online,

1335
01:02:18,680 --> 01:02:21,640
Speaker 3: like I really mean it. And this has created this

1336
01:02:22,000 --> 01:02:24,800
Speaker 3: situation even in the media, one where they're not living

1337
01:02:24,800 --> 01:02:27,000
Speaker 3: in the world that you and I are right. And

1338
01:02:27,360 --> 01:02:30,040
Speaker 3: I can see that because also we host a show

1339
01:02:30,080 --> 01:02:33,920
Speaker 3: on YouTube, which is way more accessible to the general public.

1340
01:02:34,120 --> 01:02:36,960
Speaker 3: I could look at our Twitter analytics. I thought Trump switched.

1341
01:02:37,320 --> 01:02:39,880
Speaker 3: I remember distinctly. I went on parental leave. I came

1342
01:02:39,920 --> 01:02:41,640
Speaker 3: back and I was like, oh man, you know, just

1343
01:02:41,640 --> 01:02:44,280
Speaker 3: just from analytics, you can see very clearly. I want

1344
01:02:44,280 --> 01:02:48,240
Speaker 3: to check the YouTube podcast charts today, Midas touches number

1345
01:02:48,280 --> 01:02:52,040
Speaker 3: two in the United States, number two behind Joe Rogan?

1346
01:02:52,360 --> 01:02:55,600
Speaker 3: Is there any reckoning with that at the national level, right? No,

1347
01:02:55,760 --> 01:02:56,840
Speaker 3: they just don't get it.

1348
01:02:56,960 --> 01:02:58,680
Speaker 4: Yeah, they're still living in the past.

1349
01:02:58,720 --> 01:03:00,600
Speaker 1: About you think it's twenty ten four.

1350
01:03:00,720 --> 01:03:02,880
Speaker 3: They just they don't understand like you and I can

1351
01:03:03,160 --> 01:03:06,000
Speaker 3: of how radically things can change. Think back to the

1352
01:03:06,000 --> 01:03:09,560
Speaker 3: online energy from Trump July of twenty twenty four to

1353
01:03:10,080 --> 01:03:14,040
Speaker 3: I would say January, it was extraordinary. I was relatively

1354
01:03:14,080 --> 01:03:16,440
Speaker 3: certain Trump would win purely based of off of our

1355
01:03:16,520 --> 01:03:19,520
Speaker 3: YouTube analytics, and you can see now based on the

1356
01:03:19,520 --> 01:03:21,720
Speaker 3: way things are trending. But I mean, it just it

1357
01:03:21,800 --> 01:03:26,280
Speaker 3: demonstrates first how coalitions are not static number one. Two,

1358
01:03:26,600 --> 01:03:29,720
Speaker 3: how the public is much more engaged than you might think,

1359
01:03:29,880 --> 01:03:32,560
Speaker 3: because they really believe that people just fuck around and

1360
01:03:32,560 --> 01:03:34,720
Speaker 3: do nothing all day. But they just don't get that

1361
01:03:35,120 --> 01:03:37,439
Speaker 3: relative amounts of check ins. When you start to see

1362
01:03:37,480 --> 01:03:39,920
Speaker 3: enough of these videos, it's not going to work out well.

1363
01:03:39,960 --> 01:03:41,680
Speaker 3: For you, and it will switch on you in a dime.

1364
01:03:41,840 --> 01:03:44,440
Speaker 2: Well, there's two other things to consider in that. Number

1365
01:03:44,480 --> 01:03:50,080
Speaker 2: one is the fact that for individuals who just want

1366
01:03:50,840 --> 01:03:54,080
Speaker 2: their influencer base and I'm I'm not talking about it.

1367
01:03:54,160 --> 01:03:56,400
Speaker 2: I'm talking about people in the government who want to

1368
01:03:56,440 --> 01:03:59,000
Speaker 2: be like famous and get padded on. The hell there

1369
01:03:59,040 --> 01:04:01,120
Speaker 2: was so base so it was big, blah blah blah.

1370
01:04:01,160 --> 01:04:04,480
Speaker 2: Then it like that is actually there. That is their

1371
01:04:04,520 --> 01:04:06,240
Speaker 2: whole world, and they don't really care about what the

1372
01:04:06,240 --> 01:04:09,440
Speaker 2: whole public dixist. They just want those like that affirmation

1373
01:04:09,800 --> 01:04:12,960
Speaker 2: from the hardest fringe like neo Nazis online, who wouldn't

1374
01:04:12,960 --> 01:04:16,000
Speaker 2: tell them that they're based for you know, whatever outrageous

1375
01:04:16,040 --> 01:04:18,560
Speaker 2: thing that they do. The other thing to keep in

1376
01:04:18,600 --> 01:04:21,440
Speaker 2: mind is that, you know, with Stephen Miller being so influential,

1377
01:04:21,800 --> 01:04:24,480
Speaker 2: this man is not buffeted around by the wins of Twitter.

1378
01:04:24,720 --> 01:04:27,960
Speaker 4: He has a project. And the reason why.

1379
01:04:28,160 --> 01:04:31,440
Speaker 2: He is not that excited about, you know, going in

1380
01:04:31,520 --> 01:04:35,080
Speaker 2: and doing the Verify stuff or whatever is not only

1381
01:04:35,240 --> 01:04:37,600
Speaker 2: because it pisses off the wealthy.

1382
01:04:37,720 --> 01:04:38,400
Speaker 4: That is part of it.

1383
01:04:38,520 --> 01:04:40,440
Speaker 2: That's part of certainly why Trump is not interested in

1384
01:04:40,480 --> 01:04:44,760
Speaker 2: going in that direction, but it's because immigration is a

1385
01:04:45,240 --> 01:04:50,920
Speaker 2: key piece of Steven Miller's broader project of more power projection.

1386
01:04:51,120 --> 01:04:52,920
Speaker 2: That's why, and we've had this discussion for that's why

1387
01:04:52,920 --> 01:04:56,280
Speaker 2: Minneapolis chosen, right, It's not because it's a hotbed of

1388
01:04:56,400 --> 01:05:00,240
Speaker 2: undocumented immigration, it's not compared to other cities in the country.

1389
01:05:00,440 --> 01:05:04,000
Speaker 2: It's because it's a hotbed of liberal opposition to Trump,

1390
01:05:04,200 --> 01:05:07,120
Speaker 2: from the mayor to the governor. Right, and then you

1391
01:05:07,160 --> 01:05:09,840
Speaker 2: know you have the Somali to again buy in large

1392
01:05:09,880 --> 01:05:14,240
Speaker 2: American citizens. But that's a useful political cudgel. And you

1393
01:05:14,240 --> 01:05:15,640
Speaker 2: know this will bleed out. We're going to talk about

1394
01:05:15,640 --> 01:05:18,360
Speaker 2: the elections things to bandon his floating, Hey, we should

1395
01:05:18,440 --> 01:05:20,520
Speaker 2: use these ICE agents and send them out to the polls.

1396
01:05:20,960 --> 01:05:24,440
Speaker 2: Miller sees this as a cohesive project he wants to

1397
01:05:24,480 --> 01:05:26,720
Speaker 2: I don't think he's going to succeed, but his goal

1398
01:05:27,200 --> 01:05:30,360
Speaker 2: is not only to change the ethnic composition of the country,

1399
01:05:30,560 --> 01:05:34,240
Speaker 2: but to effectively quash the opposition forever and win some

1400
01:05:34,280 --> 01:05:37,040
Speaker 2: sort of a final battle in politics, which is always

1401
01:05:37,280 --> 01:05:40,320
Speaker 2: you know, it's an impossibility, but that is what he's

1402
01:05:40,400 --> 01:05:43,160
Speaker 2: driving towards. And so you know, him being able to

1403
01:05:43,160 --> 01:05:46,200
Speaker 2: get this massive budget for ICE that you know, they

1404
01:05:46,240 --> 01:05:48,480
Speaker 2: have more money than they could know what to do with,

1405
01:05:48,640 --> 01:05:51,320
Speaker 2: and they're building out all these huge detention centers and

1406
01:05:51,360 --> 01:05:56,959
Speaker 2: there and flooding them into cities and clashing with liberal protesters.

1407
01:05:57,000 --> 01:06:01,640
Speaker 2: Like this is all going according to his plan. These

1408
01:06:01,640 --> 01:06:05,320
Speaker 2: are exactly the scenes that he actually wants and was

1409
01:06:05,440 --> 01:06:09,360
Speaker 2: aiming for. So you know, the his wings are being

1410
01:06:09,400 --> 01:06:13,160
Speaker 2: clipped right now because Trump is sort of tuning into

1411
01:06:13,200 --> 01:06:15,240
Speaker 2: this and like wait, wait, this is too you know,

1412
01:06:15,320 --> 01:06:17,440
Speaker 2: this is not actually helping me. I don't like this,

1413
01:06:17,600 --> 01:06:20,880
Speaker 2: this is too far, et cetera. But Stephen Miller's like

1414
01:06:20,960 --> 01:06:24,040
Speaker 2: dedication to that project is not going anywhere, which is

1415
01:06:24,040 --> 01:06:25,920
Speaker 2: why I was saying earlier. You know, he's going to

1416
01:06:25,920 --> 01:06:28,840
Speaker 2: continue work and use whatever angles he can to get

1417
01:06:28,880 --> 01:06:30,960
Speaker 2: back to you know, exactly what he was doing in

1418
01:06:30,960 --> 01:06:34,280
Speaker 2: Minneapolis and you know, surging thirty five thousand different types

1419
01:06:34,280 --> 01:06:36,760
Speaker 2: of munitions into the city so that they can have

1420
01:06:36,840 --> 01:06:41,040
Speaker 2: these explosive clashes with mostly like white liberal protesters, not

1421
01:06:41,080 --> 01:06:42,880
Speaker 2: actually even undocumented immigrants.

1422
01:06:42,920 --> 01:06:46,800
Speaker 3: So I don't know, I mean, I don't disagree necessarily.

1423
01:06:47,840 --> 01:06:49,760
Speaker 3: To be fair, if you've been read or looked at

1424
01:06:49,760 --> 01:06:51,600
Speaker 3: Steven or anything you've been talking about, you've verified for

1425
01:06:51,640 --> 01:06:52,400
Speaker 3: fifteen years.

1426
01:06:52,400 --> 01:06:53,920
Speaker 1: So it's not like he wouldn't be pushing it. I

1427
01:06:53,960 --> 01:06:55,080
Speaker 1: think he lives in.

1428
01:06:55,000 --> 01:06:57,440
Speaker 3: The world of reality where this was the only thing

1429
01:06:57,480 --> 01:06:59,640
Speaker 3: that they could get through the GOP. Cold, don't forget

1430
01:06:59,640 --> 01:07:01,440
Speaker 3: the GOP. The congressmen are just as bought off by

1431
01:07:01,440 --> 01:07:04,160
Speaker 3: the agriculture and by the big business industry just as much.

1432
01:07:04,200 --> 01:07:06,080
Speaker 3: And that's part of the reason it doesn't get through

1433
01:07:06,080 --> 01:07:08,640
Speaker 3: ice agents is frankly, the low hanging fruit of being

1434
01:07:08,680 --> 01:07:11,160
Speaker 3: able to fund something without really doing anything about it,

1435
01:07:11,200 --> 01:07:15,040
Speaker 3: touching the financial system, talking the agricultural or any of

1436
01:07:15,040 --> 01:07:16,840
Speaker 3: these different big businesses.

1437
01:07:17,160 --> 01:07:20,800
Speaker 2: I agree with you. I to Stephen Miller's credit, I

1438
01:07:20,840 --> 01:07:24,200
Speaker 2: guess I don't. He is ideologically committed to the project

1439
01:07:24,240 --> 01:07:26,680
Speaker 2: and he doesn't bother him to piss off wealthy people

1440
01:07:27,120 --> 01:07:30,040
Speaker 2: no service of the project because he is he's committed

1441
01:07:30,040 --> 01:07:30,520
Speaker 2: to that goal.

1442
01:07:30,600 --> 01:07:32,840
Speaker 4: It's not just transactional for him. That's no.

1443
01:07:33,120 --> 01:07:33,640
Speaker 1: Yeah, you're right.

1444
01:07:33,680 --> 01:07:36,240
Speaker 3: So if you go and read, people shouldn't remember. And

1445
01:07:36,280 --> 01:07:39,200
Speaker 3: he worked for Jeff Sessions. Sessions, if people forget, was

1446
01:07:39,240 --> 01:07:42,760
Speaker 3: the very first senator to ever endorse Trump, which was shocking.

1447
01:07:42,840 --> 01:07:44,400
Speaker 1: Actually when was that twenty fifteen?

1448
01:07:44,720 --> 01:07:48,760
Speaker 3: Maybe he was the very first elected politician to endorse Trump.

1449
01:07:48,800 --> 01:07:51,920
Speaker 3: It was genuinely shocking, and it was because of immigration. Now,

1450
01:07:52,040 --> 01:07:54,280
Speaker 3: Jeff obviously gets stabbed in the back by Trump because

1451
01:07:54,320 --> 01:07:57,840
Speaker 3: of some Russiagate bullshit later on, and Stephen, you know,

1452
01:07:58,000 --> 01:08:01,040
Speaker 3: creates his own little empire inside of the White House.

1453
01:08:01,080 --> 01:08:02,960
Speaker 3: But a lot of it does trace back to some

1454
01:08:03,000 --> 01:08:05,520
Speaker 3: of the discussion that we're having here. I don't know

1455
01:08:05,560 --> 01:08:08,520
Speaker 3: which way it's going to go. I would say, considering

1456
01:08:08,560 --> 01:08:10,800
Speaker 3: the way things are, your one Nick Sureley video away

1457
01:08:10,840 --> 01:08:14,400
Speaker 3: from everything changing, I guess we can just rely on

1458
01:08:14,440 --> 01:08:17,479
Speaker 3: his own illiteracy and incompetence to make sure that that

1459
01:08:17,520 --> 01:08:18,120
Speaker 3: doesn't happen.