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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 the show.

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

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Speaker 3: perspectives from the left and the right that simply does

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Speaker 3: not exist anywhere else.

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Speaker 2: So if that is something that's important to you, please

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Speaker 2: go to Breakingpoints dot com. Become a member today and

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Speaker 2: you'll get access to our full shows, unedited, ad free,

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Speaker 2: and all put together for you every morning in your inbox.

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Speaker 3: We need your help to build the future of independent

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Speaker 3: news media and we hope to see you at Breakingpoints

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Speaker 3: dot com. Good morning, everybody, Happy Thursday. Have an amazing

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Speaker 3: show for everybody today.

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Speaker 1: What do we have, Krystal.

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Speaker 2: We do many interesting things continuing to unfold. So we

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Speaker 2: have a continuation in the war between Sam Oltman and

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Speaker 2: Elon Musk. But Trump is kind of undercut by this

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Speaker 2: one as well, because Elon has taken shots at his

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Speaker 2: big Stargate project that he announced with great fanfare. So anyway,

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Speaker 2: there's a lot of drama going on there and also

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Speaker 2: some real concerns about the direction of AI. So we'll

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Speaker 2: show you a lot to do with that, going to

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Speaker 2: undate you on the latest with regard to immigration, what

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Speaker 2: we know about Trump's plans, what they're moving forward with,

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Speaker 2: also the polling about how Americans feel about this new

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Speaker 2: war hardline direction on immigration, So break all of that

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Speaker 2: down for you. Also kind of break down for you

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Speaker 2: this controversy over the bishop who spoke at the National

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Speaker 2: Cathedral and the right was very upset about what she

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Speaker 2: had to say, So we'll show you that and show

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Speaker 2: you that controversy.

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Speaker 4: Et cetera.

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Speaker 2: Cibers had a little bit of inside reporting about some pushback,

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Speaker 2: some war between the various factions within the Trump administration,

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Speaker 2: the more sort of like hawkish Neokhon pro Israel faction

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Speaker 2: versus some of the new people who are being brought

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Speaker 2: on board who maybe have a different view and different

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Speaker 2: direction they want to go, and so that's very interesting.

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Speaker 2: We also got Steve Wikoff sounding off and planning a

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Speaker 2: trip to Gaza, so we'll see what comes of.

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Speaker 4: That and where that's all going.

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Speaker 2: You know, there's some troubling indications, but there's also you know,

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Speaker 2: that's one at least positive indication. So break all of

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Speaker 2: that down for You've also got Trump weighing in on

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Speaker 2: his approach to the Russia Ukraine War. We're trying to

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Speaker 2: read the tea leaves there as best we can, and

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Speaker 2: we're going to investigate whether there is some social media

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Speaker 2: new censorship going on in the new Trump era. And

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Speaker 2: also a weather lady weather person I guess meteorl meteorl

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Speaker 2: at anyway, a woman local news station weather castor will

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Speaker 2: go with that, who was fired because she criticized Elon

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Speaker 2: Musk's salute. We'll leave it at that to avoid Sagera.

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Speaker 1: And I having to drag me back. Don't drag me back.

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Speaker 2: Before we get into any of that though. Thank you

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Speaker 2: guys so much for your support of the show. We're

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Speaker 2: really excited about what we have to bring for you

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Speaker 2: this year. Obviously, there are going to be a million

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Speaker 2: things for us to cover, so it is going to

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Speaker 2: be eventful if nothing else.

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Speaker 3: Look and there's a lot, there's a lot that's in play.

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Speaker 3: You know, I'm gonna be talking a lot about that today.

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Speaker 3: It's really interesting being, you know, getting some of the

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Speaker 3: inside knowledge and all that. I really want to try

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Speaker 3: and share it with some of you. And thank you

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Speaker 3: to everybody who's you know, supporting the show and others.

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Speaker 3: There's our ability to be completely independent and also have

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Speaker 3: a little bit of a line, not claiming to have

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Speaker 3: a total line or whatever on what's going on the inside,

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Speaker 3: I think is kind of unique. And so that's one

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Speaker 3: of the things that you can help us do here

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Speaker 3: Breakingpoints dot Com and continue to build that out as

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Speaker 3: the Trump administration really comes, you know, really starts to

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Speaker 3: take shape, and also with the democratic response and the

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Speaker 3: podcast selection and all that. So the narrative is really

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Speaker 3: on our side if we want to do something interesting

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Speaker 3: over here, So Breakingpoints dot Com and you can go

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Speaker 3: ahead and support us, But let's get to stargate because

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Speaker 3: this is ai one of the stories, Crystal, that we've

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Speaker 3: been wanting to focus on now quite some time. Fundamentally,

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Speaker 3: probably the most the thing that will be when historian

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Speaker 3: looks back at this time period. You know, a lot

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Speaker 3: of the crap that we talk about here, you know,

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Speaker 3: to day to day whatever controversy, none of that is

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Speaker 3: even going to be a footnote. It will be about

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Speaker 3: the big macro economic trends and artificial intelligence and the

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Speaker 3: eventual you know, how it comes to be shaped, the

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Speaker 3: corporate influence and all of that as we see here

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Speaker 3: with the development of star Stargate could be a big

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Speaker 3: jump off in that period.

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Speaker 2: Incredibly consequential. And so Trump made this big announcement counterpoints cover.

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Speaker 2: I'm sure you guys saw this too, that these private

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Speaker 2: companies and investment funds were going to put five hundred

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Speaker 2: billion dollars into building out AI focused data centers in

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Speaker 2: the US. One of the companies that was involved in

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Speaker 2: that is open Ai, headed by Sam Oltman, who was

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Speaker 2: formerly up until like five minutes ago, major Democratic donor.

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Speaker 2: Actually full disclosure, he had previously contributed to a project

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Speaker 2: that I ran to try to recruit working class candidates

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Speaker 2: to run in Democratic primaries. So he was, you know,

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Speaker 2: buddies with Reid Hoffman, all in on the Democratic side.

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Speaker 2: Once Trump won, suddenly, oh let me give you a

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Speaker 2: million dollars to the inauguration fund. Here I am at

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Speaker 2: the inauguration singing a very different tune, et cetera. The

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Speaker 2: other piece of the backstoring need to know is that

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Speaker 2: he and Elon are at war. Elon has sued him.

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Speaker 2: They founded open AI originally together. They had a falling out.

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Speaker 2: You know, they both have different versions of what that

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Speaker 2: falling out was over but in any case, they're at

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Speaker 2: war with one another. So let me show you a

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Speaker 2: little bit of Sam Altman at this announcement, you know,

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Speaker 2: really buttering up Trump and doing the whole dance as

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Speaker 2: part of this Stargate reveal.

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Speaker 5: Let's take a listen, to create one hundreds of thousands

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Speaker 5: of jobs, to create a new industry centered here. We

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Speaker 5: wouldn't be able to do this without you and mister President,

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Speaker 5: and I'm thrilled that we get to.

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Speaker 1: I think it'll be an exciting project.

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Speaker 5: I think we'll be able to do all of the

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Speaker 5: wonderful things these guys talked about, but the fact that

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Speaker 5: we get to do this in the United States is

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Speaker 5: I think wonderful.

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Speaker 1: So thank you very much.

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Speaker 6: First, let me talk to you, Sam about what.

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Speaker 1: This means for AI and the future for the US

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Speaker 1: investment here.

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Speaker 5: This means we can create AI and AGI in the

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Speaker 5: United States. In America, wouldn't have been obvious that this

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Speaker 5: was possible, but I think that's a different president might not.

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Speaker 1: Have been possible.

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Speaker 5: But we are thrilled to get to do this, and

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Speaker 5: I think it'll be great for American's great for the

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Speaker 5: whole world.

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Speaker 1: And that's great for the whole world. I'm sure. I'm

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Speaker 1: sure it's great for the world.

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Speaker 2: Great for you, for sure, and the oligarchs who are

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Speaker 2: you know, at the forefront of this. But you know,

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Speaker 2: I don't know. If you watch the whole press conference.

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Speaker 2: I did watch the whole deres of conference. Everybody would say,

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Speaker 2: oh my god, Trump, President Trump, this is soone like

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Speaker 2: this never would have happened without you, blah blah blah.

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Speaker 2: And it's it is a little odd because there's no

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Speaker 2: indication at least that public money is going into this.

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Speaker 2: This is just like businesses who were doing a thing

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Speaker 2: Trump gets to take credit for and look like he's

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Speaker 2: making this, you know, giant investment, et cetera.

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Speaker 4: Et cetera.

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Speaker 2: Also an opportunity for them to like kiss the ring

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Speaker 2: and bend the knee and tell him how wonderful and

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Speaker 2: great and brilliant he is, et cetera, et cetera. Open

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Speaker 2: AI put out an announcement on Twitter. Let's put this

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Speaker 2: up on the screen. I'll read a little bit of

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Speaker 2: the way that they framed this. They said, the Stargate Projects,

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Speaker 2: a new company intends to invest five hundred billion dollars

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Speaker 2: in the next four years building new AI infrastructure for

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Speaker 2: Open AI and the US. Would we can deploying one

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Speaker 2: hundred billion immediately this infrastructural so caure American leadership and

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Speaker 2: AI great hundreds of thousands of American jobs. I'll believe

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Speaker 2: that when I see it, and generate massive economic benefit

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Speaker 2: for the entire World's project will not only support the

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Speaker 2: reindustrialization of the United State, it's quite the opposite, actually,

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Speaker 2: but also provide a strategic capability to protect the national

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Speaker 2: security of American and its allies. We don't have this

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Speaker 2: part up here, but they go on to name all

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Speaker 2: the partners soft Bank, Open AI, Oracle and MGX.

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Speaker 4: By the way, MGX is a.

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Speaker 2: UAE based investment fund with huge investments from the Abu

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Speaker 2: Dhabi Sovereign Wealth Fund. Strange group of bad fellows. Anyway,

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Speaker 2: the whole thing is a little bit odd. But the

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Speaker 2: key part of this is underneath this big announcement, you know,

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Speaker 2: it's a big Trump initiative, something he's taken credit for.

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Speaker 2: Elon Musk, Trump's first buddy, says they don't actually have

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Speaker 2: the money. So Elon coming in hot, taking a shot

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Speaker 2: obviously at Sam Yes, but also inadvertently perhaps taking a

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Speaker 2: shot at Trump and this, you know, big glossy announcement

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Speaker 2: that he made there.

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Speaker 3: Yeah, I mean it's there's several dimensions to it. Obviously,

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Speaker 3: where you have a basically Elon is now a White

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Speaker 3: House official. So can we say that a senior White

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Speaker 3: House official is pouring cold water on Stargate? But Stargate

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Speaker 3: itself is really worse looking at and saying what the

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Speaker 3: hell is going on here? Because effectively, the way I've

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Speaker 3: come to understand it is that this is supposed to

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Speaker 3: be a Manhattan project for AI to compete with China.

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Speaker 3: There's only a big difference here, which is it's not

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Speaker 3: being run by the United States government or to the

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Speaker 3: public interest or with the coherent goal involved, and instead

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Speaker 3: is basically being outsourced to the private sector. Now, the

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Speaker 3: real reason why everyone should pay attention is, first, let's

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Speaker 3: just look at the colossal amount of money that we're

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Speaker 3: talking about here, five hundred billion. Look, I understand here

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Speaker 3: that we can talk every once in a while like

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Speaker 3: one hundred billion, two hundred billion, five hundred billion is

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Speaker 3: half a trillion dollars for a private mark. For a

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Speaker 3: private corporation or even corporations to be able to come

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Speaker 3: up with that sum is extraordinary. I mean, just think

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Speaker 3: about that in terms of actual cash and dollars even

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Speaker 3: over a ten year period, we've very rarely seen ever

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Speaker 3: such private investments. Now, if if that's going to happen,

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Speaker 3: where does that money come from? And that's kind of

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Speaker 3: what Elon is getting at here when he says they

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Speaker 3: don't don't actually have the money. Now, Satya Nadell, the

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Speaker 3: CEO of Microsoft is said I'm good for my eighty billion,

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Speaker 3: But I mean, keep in mind, this is a two

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Speaker 3: trillion dollar market cap corporation. Where is open AI's money

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Speaker 3: coming from. Even Masa, you know over at SoftBank. A

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Speaker 3: lot of people probably don't know a lot about SoftBank,

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Speaker 3: but I encourage you to go and read some of

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Speaker 3: the histories of Uber and we Work, where Masa was

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Speaker 3: very very important in the development of those companies. Masa

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Speaker 3: is literally the guy who told Adam Newman to do

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Speaker 3: all of this crazy shit over at we Work, and

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Speaker 3: he was like, the only thing I don't like about you, Adam.

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Speaker 3: This is direct quote. He said, the only thing I

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Speaker 3: don't like about you, Adam is that you're not crazy enough.

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Speaker 3: And he's the one who encouraged him to go from

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Speaker 3: an office space company, to we live and we care

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Speaker 3: and you know, drive a forty billion dollar company into

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Speaker 3: the ground that eventually gets sold for scraps over to

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Speaker 3: to like a private equity giant or yeah, Adam.

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Speaker 2: Will be We'll be taught for years as a corporate

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Speaker 2: cautionary tale.

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Speaker 1: That is who we're talking about here.

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Speaker 3: You know, I guess because I read the news, I'm

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Speaker 3: aware of who these people are. It's really important to

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Speaker 3: first think about where this money is coming from. As

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Speaker 3: you said, the Ua Masa in the past has taken

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Speaker 3: tons of money from the Saudi Sovereign Wealth Fund. Do

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Speaker 3: we really want all of this money to be involved

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Speaker 3: in our Matt Manhattan project? But secondary to that and

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Speaker 3: part of the reason why I'm really concerned about the

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Speaker 3: lack of oversight and where I at least look, you know,

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Speaker 3: and somehow in this war, I'm like on Evon's side

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Speaker 3: where I'm like, yeah, I'm not so sure about all

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Speaker 3: of this is this is a corporate conglomerate which is

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Speaker 3: totally which is basically coming together as a cartel with

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Speaker 3: all of these big tech companies who are now getting

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Speaker 3: to decide our future of our economy. That's right, how

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Speaker 3: our medicine is we're about to show you which they're

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Speaker 3: openly bragging, which will replace humanity, which will develop mRNA

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Speaker 3: vaccines in forty eight hours.

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Speaker 1: How amazing. I'm sure sure they'll work. And you know

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Speaker 1: all of that.

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Speaker 3: If we put this stuff together, you're looking at it

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Speaker 3: literally like an elysium led society, and they're not even

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Speaker 3: shy about saying it all out loud.

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Speaker 1: That's the crazy part.

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Speaker 4: That's all so well said.

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Speaker 2: And that's not to say that there aren't potential benefits

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Speaker 2: to society from AI. But as we'll get to in

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Speaker 2: a minute, you also should like, this technology already exists,

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Speaker 2: so we should also look at the way it's already

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Speaker 2: being deployed. And many of the ways it's already being

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Speaker 2: deployed are to eliminate jobs, make your health care worse,

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Speaker 2: kill people in kill Palestinians in Gaza. So it's you know, listen,

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Speaker 2: anytime you put the corporate profit motive at the center

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Speaker 2: of innovation, then definitionally the benefit of humanity.

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Speaker 4: Is not going to be the primary goal here.

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Speaker 2: So the fact that it is being celebrated and so on,

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Speaker 2: it is all really wild. Just to get take you

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Speaker 2: quickly through the Elon Musk, Sam Altman drama, because of

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Speaker 2: course human drama is always interesting, and it's also another

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Speaker 2: indication of the way all of these tech oligarch types are,

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Speaker 2: even if they were previously totally on board with the

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Speaker 2: Democratic brand, now completely bending the knee and sucking up

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Speaker 2: to Trump because that's where power is, that's where them is,

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Speaker 2: et cetera. Let's put this up on the screen. A

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Speaker 2: little bit of this back and forth. So Elon says, hey,

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Speaker 2: they don't actually have the money.

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Speaker 4: By the way, Elon.

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Speaker 2: Also self interested here has his own AI developments, et cetera.

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Speaker 2: Sam Altman chimes in, Elon, I genuinely respect your accomplishments,

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Speaker 2: and I think you're the most inspiring entrepreneur of our time,

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Speaker 2: because again he sees who has power and Elon Musk

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Speaker 2: as a lot of position and powerless.

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Speaker 4: Put the next piece up on the screen.

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Speaker 2: So Elon says, SoftBank has well under ten billion dollars secured.

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Speaker 2: I have that on good authority. Sam says, wrong, as

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Speaker 2: you surely know. Want to come visit the first site

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Speaker 2: already underway. This is great for the country. I realize

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Speaker 2: what is great for the country isn't always what's optimal

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Speaker 2: for your companies. But in your new role, I hope

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Speaker 2: you'll mostly put America first. Let's put the next piece

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Speaker 2: up on the screen. As this continues, you had someone

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Speaker 2: who pointed out online basically like in one tweet, Sam

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Speaker 2: being like, oh my god, Elon's so amazing, and then

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Speaker 2: in another tweet, you know, criticizing him, and Sam says, well,

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Speaker 2: both sentiments are true. I don't think he's a nice

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Speaker 2: person or treating us fairly, but you have to respect

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Speaker 2: the guy, and he pushes all of us to be

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Speaker 2: more ambitious. Elon again chimes in with them excellento on

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Speaker 2: the screen, pointing out as I recently did that Sam,

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Speaker 2: and was until five seconds ago totally tied in with

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Speaker 2: the Democratic Like what with the Democratic machine? I mean,

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Speaker 2: I'm tired that he puts significant financial resources into the

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Speaker 2: Democratic Party and various Democratic Party projects. So you got

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Speaker 2: Cernovich here pointing out that Sam was involved with Reid Hoffman,

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Speaker 2: who was involved with the what he describes as law

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Speaker 2: fair against Trump. Sam said, very few people this was

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Speaker 2: back twelve fifteen twenty one. Very few people realized just

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Speaker 2: how much Reid Hoffman did and spent to stop Trump

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Speaker 2: from getting reelected, it seems reasonably likely to me that

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Speaker 2: Trump would still be in office without its efforts. Thank

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Speaker 2: you read and Elon quote tweets all of that and

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Speaker 2: says true. So, I mean the thing that's funny to

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Speaker 2: me too. So it's like, it's not like Maga is

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Speaker 2: even buying this new act from Sam Olman. It's just

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Speaker 2: so shameless to completely change your tune and change your

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Speaker 2: colors on a dime. Now that there's a new new

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Speaker 2: regime and power and a new vibe out there, and

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Speaker 2: you want to secure these partnerships and you know, whatever

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Speaker 2: deregulatory stuff you want and be hand to the cannot

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Speaker 2: be subject to any sort of retaliation. Now you've got

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Speaker 2: Elon and you're at war with Elon.

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Speaker 4: Et cetera.

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Speaker 2: So it's just so this is one of the most

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Speaker 2: brazen and shameless possible examples. I mean, Zuckerberg is really

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Speaker 2: up there too, given how much Heat changes it on

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Speaker 2: the dime. Not these people really ultimately believe anything. They're

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Speaker 2: just in it for themselves. I trying to position themselves

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Speaker 2: in the best possible but self interested.

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Speaker 3: I would put Zuck at the top of the list,

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Speaker 3: and Sam Hall that would be your ranking simple. I mean,

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Speaker 3: it's just sous just too much, really so much. Yeah,

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Speaker 3: it's you know, I just can't handle it all sometimes.

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Speaker 3: But Sam Altman is definitely up there as well. Like

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Speaker 3: you said, this is a lifelong Democrat guy who put

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Speaker 3: tens of millions at the least possibly hundreds, you know,

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Speaker 3: who know who even knows into the Democratic machine over

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Speaker 3: the last several years. Completely switches about how incredible Trump is.

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Speaker 3: But really the game for Zuck and Altman are all

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Speaker 3: the same. Remember Sam Altman, you know, even though he

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Speaker 3: might appear to be like some meek, mild mannered guy,

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Speaker 3: this is a person who took a nonprofit and has

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Speaker 3: turned it into one hundred and some things of billions

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Speaker 3: of dollars company who himself is now worth untold sums.

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Speaker 3: Transferred this NGO nonprofit into a partnership with Microsoft. Ye

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Speaker 3: I mean he took the entire idea of open AI

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Speaker 3: is really one I could get behind. Right, It's like, Okay,

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Speaker 3: this is going to be a fundamentally transformative, transformative technology.

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Speaker 3: We're going to make sure this technology is open source,

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Speaker 3: is not profit driven, and is for the benefit of humanity. Great, Well,

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Speaker 3: the problem is they strike gold with chat GPT and

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Speaker 3: they're like, oh, there's a lot of money to be

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Speaker 3: made here, license it off to Microsoft. Now you're turning

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Speaker 3: it into a major service, and now there's all this

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Speaker 3: you know, censorship stuff going on behind the scenes.

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Speaker 4: Well, and let me just just to chime in and

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Speaker 4: to back you up.

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Speaker 2: We have to take a look at what they're doing

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Speaker 2: now with this tech which already exists specifically at Microsoft,

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Speaker 2: and dropsite has new breaking news just that I just

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Speaker 2: saw this morning. Guess who one of the top customers

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Speaker 2: for Microsoft's AI services is right now at this point

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Speaker 2: in time.

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Speaker 4: Oh, that would be the Israeli military. So you know,

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Speaker 4: all of your oh, I'm.

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Speaker 2: Going to do good for humanity and just be the

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Speaker 2: best thing ever for mankind. What they're actually using the

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Speaker 2: tech for right now is to kill Palestinian civilians en mass.

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Speaker 2: And we of course reported here talked here about the

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Speaker 2: nine seven to two magazine reporting about the way that

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Speaker 2: AI program was used to have algorithmically generate this mass

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Speaker 2: number of targets, many of them including civilian infrastructure, et cetera.

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Speaker 2: So those are the sorts of things AI is being

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Speaker 2: deployed for right now.

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Speaker 1: Today we mentioned a couple of days ago.

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Speaker 3: But on January eighteenth, members of Open Ai apparently had

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Speaker 3: some closed door briefings with US officials. Let's put this

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Speaker 3: up there on the screen from Axios, which alludes to

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Speaker 3: some of it. They say Open AI product chiefs says

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Speaker 3: that the world is on the verge of AI agents now.

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Speaker 3: According to Axios, members of open AI and others are

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Speaker 3: poised to announce a next level breakthrough that will unleash

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Speaker 3: PhD level super agents to do complex human tasks. Such

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Speaker 3: a breakthrough would push generative AI from a fun, cool

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Speaker 3: aspirational tool to a true replacement for human workers. This

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Speaker 3: is apparently something that has already been developed inside the

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Speaker 3: company and that was briefed to senior members of the

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Speaker 3: Trump administration in terms of a warning about what is

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Speaker 3: coming now when we pair that with now the illusions

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Speaker 3: of all of these people Ellison for replacement for him

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Speaker 3: again saying we're gonna have mRNA vaccines, like basically talking

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Speaker 3: in a full scope of replacement of technology with any

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Speaker 3: human check. And also more importantly for Stargate, here is

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Speaker 3: no government or policy check that's gonna be the most important.

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Speaker 3: And honestly, there's still there's some huge battle lines here

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Speaker 3: to be drawn because part of the thing that Stargate

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Speaker 3: reveals to all of us is the scale and the

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Speaker 3: cost of compute with open AI or with AI in general.

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Speaker 3: So we could say it's nice, it's like, oh yeah,

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Speaker 3: we want open AIS theory and or open source. But

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Speaker 3: the truth is is that the development of these models

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Speaker 3: cost you know, tens of billions, hundreds of billions of

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Speaker 3: dollars to build these data centers and video the amount

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Speaker 3: of power that they consume that could go on forever.

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Speaker 3: So the scale of the cost means that it naturally

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Speaker 3: lends itself to existing technological monopolies people like Facebook, Google,

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Speaker 3: Amazon and others who have hundreds of billions of dollars

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Speaker 3: and profits that they can burn just to develop the

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Speaker 3: new future technology. So they're the ones who are getting

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Speaker 3: to decide all of our future. And as we all

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Speaker 3: saw like with Google Gemini, you know, with the crazy

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Speaker 3: censorship going on, as we see also if you have

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Speaker 3: political questions to ask to chat GPT, this has real

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Speaker 3: scale implications for if you're going to replace humans. You know,

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Speaker 3: humans are complex systems, complex theories in terms of our

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Speaker 3: ability to intuit what is maybe good and bad and

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Speaker 3: to debate democratically about whether this is something that we

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Speaker 3: all even want. And they're the ones who very openly

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Speaker 3: are pursuing like transhumanism and complete replacement of the human

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Speaker 3: being in the US economy.

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Speaker 4: Like openly.

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Speaker 1: Yeah, like they always we're about to show it to you.

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Speaker 2: Talk about that being their goal. And I think that

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Speaker 2: is the most important point. Is I really want It

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Speaker 2: sounds insane, but I really want people to reckon with

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Speaker 2: the fact that a really quite small number of people,

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Speaker 2: a handful of mostly billionaires, interested billionaires, are deciding things

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Speaker 2: that will be just immeasurably consequential to the future of humanity.

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Speaker 4: And especially for workers.

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Speaker 2: Like that is a really important piece right now, is

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Speaker 2: I mean, they talk openly about wanting to replace all

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Speaker 2: of the human labor force, and this is happening behind

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Speaker 2: closed doors, zero democratic input. I mean, at this point,

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Speaker 2: I'm not particularly hopeful that there's even a chance to

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Speaker 2: turn it back, because a lot of this has already

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Speaker 2: a lot of the direction has kind of already been set.

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Speaker 2: That this is all happening with a handful of elites

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Speaker 2: with no democratic input whatsoever, and it is.

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Speaker 4: Deeply, deeply troubling.

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Speaker 2: So here is the anthropic CEO talking about how the

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Speaker 2: thing he's happy about with AI is that it will

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Speaker 2: render all humans useless ultimately if he accomplishes his goal.

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00:20:56,720 --> 00:20:57,560
Speaker 4: Let's take a listen to that.

437
00:20:57,840 --> 00:20:59,520
Speaker 7: Oh no, exactly when it'll come, I don't know if

438
00:20:59,520 --> 00:21:01,960
Speaker 7: it'll be twenty twenty seven. I think it's plausible it

439
00:21:02,000 --> 00:21:03,720
Speaker 7: could be longer than that. I don't think it will

440
00:21:03,760 --> 00:21:06,840
Speaker 7: be a whole bunch longer than that. When AI systems

441
00:21:06,920 --> 00:21:11,159
Speaker 7: are better than humans at almost everything, better than almost

442
00:21:11,240 --> 00:21:13,720
Speaker 7: all humans at almost everything, and then eventually better all

443
00:21:13,800 --> 00:21:17,720
Speaker 7: humans than everything, even robotics. We make good enough AI systems,

444
00:21:18,000 --> 00:21:21,440
Speaker 7: they'll they'll enable us to make better, better robots. And

445
00:21:21,520 --> 00:21:24,760
Speaker 7: so when that happens, we will need to have a

446
00:21:24,840 --> 00:21:27,960
Speaker 7: conversation at places like this, right, at places like this

447
00:21:28,240 --> 00:21:33,480
Speaker 7: this event about you know, how do we organize our economy? Right?

448
00:21:33,800 --> 00:21:36,879
Speaker 7: How do humans find find meaning? Right? There are a

449
00:21:36,960 --> 00:21:39,800
Speaker 7: lot of assumptions we've made when humans were the most

450
00:21:39,840 --> 00:21:43,720
Speaker 7: intelligent species on the planet that that are going to

451
00:21:43,800 --> 00:21:47,680
Speaker 7: be invalidated by what's happening with AI. And I think

452
00:21:48,000 --> 00:21:49,919
Speaker 7: the only good thing about it is that we'll all

453
00:21:50,040 --> 00:21:52,440
Speaker 7: be in the same boat. I'm actually afraid of the

454
00:21:52,520 --> 00:21:57,760
Speaker 7: world where thirty percent of human labor becomes fully fully

455
00:21:57,800 --> 00:22:00,600
Speaker 7: automated by AI and the other seventy percent that's going

456
00:22:00,680 --> 00:22:04,280
Speaker 7: to cause this This just incredible, you know, class war

457
00:22:04,480 --> 00:22:06,600
Speaker 7: between the groups that have been in the groups that

458
00:22:06,720 --> 00:22:08,720
Speaker 7: haven't been, if we're all in the same boat.

459
00:22:09,119 --> 00:22:11,639
Speaker 2: Yes, so yeah, I mean listen, maybe they're high on

460
00:22:11,680 --> 00:22:14,080
Speaker 2: their own supply and this is preposterous and it's never

461
00:22:14,200 --> 00:22:17,000
Speaker 2: going to be this transformational thing that they think.

462
00:22:17,119 --> 00:22:19,600
Speaker 4: But he's like, oh, when it happens, we'll have that conversation.

463
00:22:19,960 --> 00:22:23,080
Speaker 2: Maybe we should have that conversation now, whether to your point,

464
00:22:23,160 --> 00:22:26,160
Speaker 2: we even are interested in moving in a direction where

465
00:22:26,320 --> 00:22:30,520
Speaker 2: all human labor is irrelevant and you know that being

466
00:22:30,560 --> 00:22:34,000
Speaker 2: a concerted goal now being led pushed by our government,

467
00:22:34,200 --> 00:22:37,200
Speaker 2: but led by a bunch of self interest did corporate

468
00:22:37,520 --> 00:22:41,040
Speaker 2: oligarchs with driven by a profit motive? Maybe that's something

469
00:22:41,080 --> 00:22:43,800
Speaker 2: we should be talking about right now instead of, you know,

470
00:22:44,040 --> 00:22:45,800
Speaker 2: years down the road when it is far too late

471
00:22:45,880 --> 00:22:46,480
Speaker 2: to change anything.

472
00:22:46,560 --> 00:22:46,760
Speaker 1: Yeah.

473
00:22:46,760 --> 00:22:50,800
Speaker 3: Absolutely, And not only that, you had these images here

474
00:22:50,880 --> 00:22:53,280
Speaker 3: of like what AI is currently better at humans for,

475
00:22:53,440 --> 00:22:55,520
Speaker 3: So let's put those on the screen please, just to

476
00:22:55,560 --> 00:22:57,960
Speaker 3: give everybody an example. You say Amazon used AI to

477
00:22:58,040 --> 00:23:01,560
Speaker 3: automatically fire low productivity workers, the lavender of the AI

478
00:23:01,720 --> 00:23:04,920
Speaker 3: machine directing Israel's bombing spree in Gaza, and United Health

479
00:23:05,040 --> 00:23:08,600
Speaker 3: uses faulty AI to deny elderly patients medically necessary coverage

480
00:23:08,840 --> 00:23:13,119
Speaker 3: lawsuit claim. The point is is that any large scale organization,

481
00:23:13,320 --> 00:23:17,280
Speaker 3: either bureaucratic or corporate, which relies on data to make

482
00:23:17,359 --> 00:23:20,359
Speaker 3: quote unquote better decisions, and by better they mean increasing

483
00:23:20,359 --> 00:23:22,520
Speaker 3: the bottom line, is something that AI is really good at.

484
00:23:22,800 --> 00:23:24,400
Speaker 3: If you've ever used I use it all the time,

485
00:23:24,440 --> 00:23:27,280
Speaker 3: you know, whenever trying to calculate a budget or something

486
00:23:27,359 --> 00:23:31,439
Speaker 3: like that, or doing financial projections, looking at like retirement savings.

487
00:23:31,760 --> 00:23:34,640
Speaker 1: It's really good. And crunching big amounts of data.

488
00:23:34,680 --> 00:23:36,720
Speaker 3: Where it would have taken me hours in Excel to

489
00:23:36,840 --> 00:23:38,480
Speaker 3: do something like that, it can build me a model

490
00:23:38,760 --> 00:23:41,399
Speaker 3: in seconds. It's like, well, now imagine that at scale,

491
00:23:41,680 --> 00:23:44,680
Speaker 3: but for what end and what purpose? And that's exactly

492
00:23:45,080 --> 00:23:48,400
Speaker 3: the issue is when you really see what's happening. China

493
00:23:48,520 --> 00:23:51,640
Speaker 3: is a very good example. They use AI, facial recognition,

494
00:23:51,800 --> 00:23:56,600
Speaker 3: all of that to increase censorship and citizen control. It's

495
00:23:56,720 --> 00:23:59,800
Speaker 3: really good at that. By being able to remember in China,

496
00:23:59,880 --> 00:24:02,520
Speaker 3: they are able to predict almost with ninety nine percent

497
00:24:02,520 --> 00:24:05,960
Speaker 3: accuracy based off of their cameras to surveil the entire

498
00:24:06,160 --> 00:24:09,000
Speaker 3: population and keep people on their best behavior. You can

499
00:24:09,040 --> 00:24:12,440
Speaker 3: actually watch videos online of people crossing the crosswalks and

500
00:24:12,480 --> 00:24:16,440
Speaker 3: they're being identified with their name and their social credit

501
00:24:16,480 --> 00:24:17,920
Speaker 3: score and all of that.

502
00:24:18,040 --> 00:24:20,880
Speaker 1: That pops up. It's out there, it's open. We saw

503
00:24:20,920 --> 00:24:22,320
Speaker 1: a lot of that during COVID.

504
00:24:22,680 --> 00:24:25,760
Speaker 3: That is the dream of the security state and of

505
00:24:25,840 --> 00:24:28,719
Speaker 3: the corporate you know, the big corporations, because it's very

506
00:24:28,720 --> 00:24:31,359
Speaker 3: good at increasing profit. The question is is about what

507
00:24:31,520 --> 00:24:33,639
Speaker 3: about all of us, and it's our country. We should

508
00:24:33,680 --> 00:24:34,960
Speaker 3: be able to get to decide.

509
00:24:34,680 --> 00:24:35,520
Speaker 4: That's exactly right.

510
00:24:35,640 --> 00:24:39,159
Speaker 2: And that technology is also deployed in the US and

511
00:24:39,280 --> 00:24:41,560
Speaker 2: not just at airports. But there was an example I

512
00:24:41,600 --> 00:24:43,440
Speaker 2: think we talked about on the show of someone who

513
00:24:43,600 --> 00:24:47,080
Speaker 2: was wrongfully arrested accused of I think stealing like a

514
00:24:47,200 --> 00:24:50,800
Speaker 2: purse or something like that, based on this facial recognition

515
00:24:51,040 --> 00:24:53,840
Speaker 2: technology no other evidence than that. It wasn't they got

516
00:24:53,880 --> 00:24:56,040
Speaker 2: the wrong guy. It wasn't even it wasn't the right person.

517
00:24:56,040 --> 00:24:57,959
Speaker 2: He had even been in the state, and they arrested

518
00:24:58,040 --> 00:25:00,320
Speaker 2: him and he was held for quite a while under

519
00:25:00,520 --> 00:25:03,560
Speaker 2: you know false like under just something that was totally

520
00:25:03,600 --> 00:25:08,240
Speaker 2: wrong and false simply because this police department was using

521
00:25:08,400 --> 00:25:12,479
Speaker 2: some of this facial recognition technology. Well, whatever's been dabbled

522
00:25:12,520 --> 00:25:17,760
Speaker 2: in thus far, they want to take nationwide, global, et cetera.

523
00:25:18,000 --> 00:25:22,240
Speaker 2: Here's oracles Larry Ellison talking about how AI will make

524
00:25:22,280 --> 00:25:25,840
Speaker 2: sure that quote, citizens will be on their best behavior.

525
00:25:25,960 --> 00:25:26,680
Speaker 4: Let's take a listen.

526
00:25:27,000 --> 00:25:31,600
Speaker 6: The police will be on their best behavior because we record.

527
00:25:31,840 --> 00:25:34,720
Speaker 6: We're constantly recording, watching and recording everything that's going on.

528
00:25:35,480 --> 00:25:39,320
Speaker 6: Citizens will be on their best behavior because we're constantly

529
00:25:39,400 --> 00:25:46,000
Speaker 6: recording and reporting everything that's going on, and it's it's unimpeachable.

530
00:25:46,320 --> 00:25:49,679
Speaker 6: The cars, the cars have camera, you know, cameras on them,

531
00:25:49,680 --> 00:25:51,280
Speaker 6: all right, we have I think we have a squad

532
00:25:51,320 --> 00:25:56,840
Speaker 6: car here someplace, but those kind of applications using AI,

533
00:25:56,960 --> 00:25:58,960
Speaker 6: if we can use AI, and we're using AI to

534
00:25:59,080 --> 00:26:02,560
Speaker 6: monitor the video. So if that altercation had occurred, that

535
00:26:02,760 --> 00:26:06,359
Speaker 6: occurred in Memphis, the chief of police would be immediately notified.

536
00:26:07,200 --> 00:26:08,560
Speaker 4: You guys want that? Do you want?

537
00:26:08,920 --> 00:26:10,080
Speaker 2: You want to at least be able to have some

538
00:26:10,160 --> 00:26:12,200
Speaker 2: input into whether or not that's the direction you want

539
00:26:12,200 --> 00:26:15,080
Speaker 2: the society to go in. And so you know what

540
00:26:15,200 --> 00:26:18,440
Speaker 2: I really want people to understand, is that a lot

541
00:26:18,520 --> 00:26:22,120
Speaker 2: of the actions and the posturing that you see from

542
00:26:22,240 --> 00:26:27,240
Speaker 2: these tech barons, what it really is about is AI development,

543
00:26:27,400 --> 00:26:29,920
Speaker 2: the amount of money that's at stake, the amount of

544
00:26:30,000 --> 00:26:32,480
Speaker 2: prestige that is at stake, and some of these people,

545
00:26:32,840 --> 00:26:34,720
Speaker 2: it truly is like a religion. I mean, I'm not

546
00:26:34,760 --> 00:26:36,879
Speaker 2: even kidding when I say many of these people think

547
00:26:36,960 --> 00:26:39,800
Speaker 2: that they will be immortal because they'll be able to

548
00:26:40,040 --> 00:26:44,480
Speaker 2: use AGI to upload their consciousness to the cloud and

549
00:26:44,520 --> 00:26:47,160
Speaker 2: live forever. I mean it really has this like cult

550
00:26:47,359 --> 00:26:53,000
Speaker 2: like religious dimension. Not to mention massive billions trillions of

551
00:26:53,080 --> 00:26:56,320
Speaker 2: dollars at stake. And so to bring it back to

552
00:26:56,359 --> 00:26:58,600
Speaker 2: the beginning here, when you see Sam Altman do a

553
00:26:58,720 --> 00:27:01,200
Speaker 2: political one to eighty like that and give Trump a

554
00:27:01,280 --> 00:27:03,760
Speaker 2: million debby at the inauguration, Oh my god, mister Trump,

555
00:27:03,800 --> 00:27:06,240
Speaker 2: thank you so much for so amazing, etcetera, etcetera, etcetera,

556
00:27:06,760 --> 00:27:09,159
Speaker 2: that's what it is really all about. The H one

557
00:27:09,240 --> 00:27:12,120
Speaker 2: B fight too, oh huge. That's this is the real

558
00:27:12,320 --> 00:27:15,720
Speaker 2: ballgame here. So keep your eye on these developments because

559
00:27:15,840 --> 00:27:20,760
Speaker 2: they could end up being truly the most consequential, generational

560
00:27:20,800 --> 00:27:23,600
Speaker 2: type developments that shape all of our future for better

561
00:27:23,760 --> 00:27:24,040
Speaker 2: for work.

562
00:27:24,119 --> 00:27:25,840
Speaker 3: I am also hoping that this is an area where

563
00:27:25,880 --> 00:27:27,760
Speaker 3: Elon can be helpful and just be like just so

564
00:27:27,880 --> 00:27:30,720
Speaker 3: you know, mister President Sam Altman is you know, look

565
00:27:30,760 --> 00:27:34,679
Speaker 3: at his track record, big democrat has gone from nonprofit

566
00:27:34,840 --> 00:27:38,640
Speaker 3: and talking greatly about humanity to enriching himself and Microsoft

567
00:27:38,760 --> 00:27:40,880
Speaker 3: and turning it into the greatest big data tool.

568
00:27:41,000 --> 00:27:43,040
Speaker 2: How do you think Trump though, likes him undercutting him

569
00:27:43,080 --> 00:27:44,320
Speaker 2: on this and being like that on the money.

570
00:27:44,359 --> 00:27:46,600
Speaker 1: I don't know. Yeah, I'm actually curious to see that's

571
00:27:46,640 --> 00:27:47,680
Speaker 1: how that was old.

572
00:27:47,840 --> 00:27:50,680
Speaker 3: Well, it's incredibly I mean, you know, in some sense

573
00:27:50,720 --> 00:27:53,520
Speaker 3: it's nice because this is an og Elon issue and

574
00:27:53,560 --> 00:27:55,600
Speaker 3: I know maybe we wouldn't be even able to talk

575
00:27:55,640 --> 00:27:57,760
Speaker 3: about it or whatever if he wasn't be able to

576
00:27:57,840 --> 00:28:00,560
Speaker 3: get behind it. This is again where where some of

577
00:28:00,640 --> 00:28:03,560
Speaker 3: the battle lines are not so clear. For example, like

578
00:28:03,920 --> 00:28:07,280
Speaker 3: you have Andresen and his people being much more in

579
00:28:07,400 --> 00:28:10,680
Speaker 3: favor of you know, free and open like open source

580
00:28:10,760 --> 00:28:14,200
Speaker 3: ai as an Ewon is kind of like that, even though.

581
00:28:14,040 --> 00:28:15,240
Speaker 1: He's got groc going on.

582
00:28:15,400 --> 00:28:18,640
Speaker 3: But Altman and Sachia Nadella and all those and Larry Ellison,

583
00:28:19,040 --> 00:28:21,680
Speaker 3: et cetera, they don't care about they don't want open source,

584
00:28:21,680 --> 00:28:24,280
Speaker 3: they want all the money for themselves, they want the data.

585
00:28:24,920 --> 00:28:27,720
Speaker 1: Obviously Nvidia and these other companies.

586
00:28:27,760 --> 00:28:29,320
Speaker 3: I mean, we didn't have time to get into this,

587
00:28:29,440 --> 00:28:31,960
Speaker 3: but there was this huge thing behind the scenes where

588
00:28:31,960 --> 00:28:34,680
Speaker 3: the Biden administration in the very very last days made

589
00:28:34,680 --> 00:28:38,520
Speaker 3: it more difficult to export chips to China, and Nvidia

590
00:28:38,840 --> 00:28:42,720
Speaker 3: was openly campaigning against it because they care about money.

591
00:28:42,920 --> 00:28:46,400
Speaker 3: Like even though this is the company on our soil,

592
00:28:46,840 --> 00:28:50,680
Speaker 3: manufactured in Taiwan, all right, so they don't care about

593
00:28:50,760 --> 00:28:51,720
Speaker 3: fi geopolitics.

594
00:28:51,960 --> 00:28:53,920
Speaker 1: And even though their stock is up what by like

595
00:28:54,000 --> 00:28:55,400
Speaker 1: ten thousand percent or.

596
00:28:55,720 --> 00:28:57,560
Speaker 3: Whatever, they know they want even more. They need this,

597
00:28:57,640 --> 00:28:59,360
Speaker 3: they need to keep this thing going, the money train.

598
00:28:59,720 --> 00:29:02,280
Speaker 3: And so this is where the Democratic you know, input

599
00:29:02,680 --> 00:29:05,760
Speaker 3: and all of that is really really important. And I

600
00:29:05,880 --> 00:29:08,280
Speaker 3: am curious to see how the White House is going

601
00:29:08,360 --> 00:29:11,480
Speaker 3: to handle some of this because already you see major

602
00:29:11,560 --> 00:29:14,920
Speaker 3: magas skepticism, not just over Sam Altman, but that clip

603
00:29:15,200 --> 00:29:16,400
Speaker 3: like of Larry Ellison talking.

604
00:29:16,200 --> 00:29:18,080
Speaker 1: About We're gonna be able to have mRNA vaccine.

605
00:29:18,080 --> 00:29:20,520
Speaker 3: It's like, yeah, good luck, good luck, you know, telling

606
00:29:20,560 --> 00:29:23,960
Speaker 3: people that, or look, Trump was elected you know with

607
00:29:24,040 --> 00:29:27,160
Speaker 3: the most working class Republican coalition literally ever, do you

608
00:29:27,280 --> 00:29:30,680
Speaker 3: think those guys in the Rio Grande Valley who are working,

609
00:29:31,280 --> 00:29:33,520
Speaker 3: you know, working class, or the guys in the Permian

610
00:29:33,600 --> 00:29:37,320
Speaker 3: basin who are sitting there like you know, like pumping oil,

611
00:29:37,760 --> 00:29:42,040
Speaker 3: they really want to be replaced, you know, by machine like.

612
00:29:42,160 --> 00:29:45,840
Speaker 1: No, this is a very common concern. Anybody who doesn't have.

613
00:29:45,840 --> 00:29:49,680
Speaker 3: A college degree, which is sixty two percent of the

614
00:29:49,840 --> 00:29:52,719
Speaker 3: US population is in danger. And actually, the crazy thing

615
00:29:52,760 --> 00:29:56,400
Speaker 3: about AI is it also means that people with college degrees,

616
00:29:56,800 --> 00:29:58,360
Speaker 3: who are entry level.

617
00:29:58,320 --> 00:30:00,840
Speaker 2: Even sooner probably than the blue collar work.

618
00:30:00,800 --> 00:30:04,880
Speaker 3: Are also really vulnerable to all of this. So unless

619
00:30:04,920 --> 00:30:08,040
Speaker 3: you're super rich, you know, you should be afraid. And

620
00:30:08,240 --> 00:30:10,400
Speaker 3: even if you are, they might be able to take

621
00:30:10,440 --> 00:30:10,920
Speaker 3: that from you too.

622
00:30:11,080 --> 00:30:14,680
Speaker 2: And again maybe they are full of it and high

623
00:30:14,720 --> 00:30:17,240
Speaker 2: on their own supply, and they will never achieve their

624
00:30:17,360 --> 00:30:20,480
Speaker 2: dreams and goals and ambitions. It will never be come

625
00:30:20,560 --> 00:30:22,520
Speaker 2: to be what they think. But I want you to

626
00:30:22,720 --> 00:30:26,760
Speaker 2: understand their goal is to replace you. That is what

627
00:30:26,920 --> 00:30:30,760
Speaker 2: this money is about. That is the goal, as explicitly

628
00:30:30,840 --> 00:30:33,640
Speaker 2: stated by them at times. That's what they're trying to

629
00:30:33,720 --> 00:30:37,200
Speaker 2: do here is to replace your labor and make you

630
00:30:37,640 --> 00:30:41,640
Speaker 2: completely irrelevant. And this is all being decided by a

631
00:30:41,680 --> 00:30:44,640
Speaker 2: few oligarchs behind closed doors with hundreds of billions of

632
00:30:44,680 --> 00:30:45,920
Speaker 2: dollars to throw at it.

633
00:30:46,080 --> 00:30:47,520
Speaker 4: So good luck humanity.

634
00:30:47,840 --> 00:30:50,040
Speaker 3: Yeah, I really do think this will be one of

635
00:30:50,080 --> 00:30:53,440
Speaker 3: the central stories of the Trump administration, and it will

636
00:30:54,040 --> 00:30:56,840
Speaker 3: there's gonna be some big democratic questions that actually have

637
00:30:57,000 --> 00:30:59,600
Speaker 3: to happen here and when the scale and the fights

638
00:30:59,640 --> 00:31:02,120
Speaker 3: of this come, you know, really, I think in a

639
00:31:02,160 --> 00:31:05,040
Speaker 3: couple of years as well, really crescendo too, just because

640
00:31:05,040 --> 00:31:07,400
Speaker 3: that's when the alleged breakthroughs and all that we'll actually

641
00:31:07,520 --> 00:31:10,040
Speaker 3: know a little bit whether it's their screen, whether they

642
00:31:10,080 --> 00:31:13,479
Speaker 3: were bluffing or not. The geopolitics are going to get

643
00:31:13,520 --> 00:31:17,200
Speaker 3: real messy because it's only January twenty third. Tariffs and

644
00:31:17,200 --> 00:31:19,600
Speaker 3: all that can come as soon as February first, and

645
00:31:19,760 --> 00:31:22,760
Speaker 3: maybe all the way up until March, but all of

646
00:31:22,800 --> 00:31:25,920
Speaker 3: that is going to have significant impact on this. And

647
00:31:26,000 --> 00:31:28,200
Speaker 3: then bigger questions too about who's coming up.

648
00:31:28,160 --> 00:31:31,160
Speaker 1: With all this money? Is this Saudi money, a UAE money?

649
00:31:31,320 --> 00:31:33,560
Speaker 3: I mean, I don't remember the Saudis or I don't

650
00:31:33,560 --> 00:31:36,160
Speaker 3: know a similar power, super rich nation in World War

651
00:31:36,240 --> 00:31:38,800
Speaker 3: Two investing in the Manhattan Project. You know, I think

652
00:31:38,840 --> 00:31:42,080
Speaker 3: that's bad. Actually, Yeah, right, So let's think about that too.

653
00:31:44,720 --> 00:31:47,479
Speaker 3: Let's get to immigration. There's been a number of moves

654
00:31:47,600 --> 00:31:51,680
Speaker 3: in the last seventy two hours which have really showed

655
00:31:51,840 --> 00:31:54,040
Speaker 3: how much of a different political landscape that were in.

656
00:31:54,160 --> 00:31:55,960
Speaker 3: First and foremost was this, let's put it up there

657
00:31:56,240 --> 00:31:58,800
Speaker 3: on the screen. The Lake and Riley Act has now

658
00:31:58,920 --> 00:32:02,120
Speaker 3: passed the House of Presentatives. The vote was two hundred

659
00:32:02,120 --> 00:32:05,719
Speaker 3: and sixty three to one hundred and fifty six. Forty

660
00:32:05,880 --> 00:32:10,280
Speaker 3: six Democrats joined with every Republican to support that bill,

661
00:32:10,360 --> 00:32:12,560
Speaker 3: and it will now be the very first bill that

662
00:32:12,680 --> 00:32:15,440
Speaker 3: President Trump will sign into law. Just in terms of

663
00:32:15,720 --> 00:32:18,280
Speaker 3: how you guys can see the vibe shift, Lincoln Riley Act,

664
00:32:18,320 --> 00:32:21,880
Speaker 3: as a reminder, is one that allows the federal government

665
00:32:21,960 --> 00:32:25,760
Speaker 3: to deport individuals illegal immigrants who are here who have

666
00:32:25,880 --> 00:32:29,400
Speaker 3: been convicted, have been charged with a crime, even a

667
00:32:29,640 --> 00:32:30,680
Speaker 3: misdemeanor offense.

668
00:32:31,280 --> 00:32:34,360
Speaker 2: It's a little different than that. It requires them to

669
00:32:34,680 --> 00:32:37,720
Speaker 2: detain undocumented immigrants even.

670
00:32:37,600 --> 00:32:39,800
Speaker 4: Before they're tried, even before they're convicted.

671
00:32:40,200 --> 00:32:43,120
Speaker 2: So if they're accused of a crime, even something low

672
00:32:43,240 --> 00:32:46,680
Speaker 2: level like shoplifting or something like that, then they are

673
00:32:46,960 --> 00:32:50,720
Speaker 2: required to detain them and.

674
00:32:50,800 --> 00:32:52,680
Speaker 4: To expedite their deportation.

675
00:32:53,080 --> 00:32:55,880
Speaker 1: So that's what the bill does right ahead. In previously

676
00:32:56,320 --> 00:32:59,760
Speaker 1: that's legal standard. It not previously existed. You know what's crazy.

677
00:33:00,320 --> 00:33:01,800
Speaker 4: Because there's no due process, but.

678
00:33:02,040 --> 00:33:05,440
Speaker 3: Oh right, the process applies to US citizens. Right, forgot

679
00:33:05,480 --> 00:33:09,920
Speaker 3: about that. But if we think about how different that

680
00:33:10,040 --> 00:33:13,640
Speaker 3: this changes is it's the first bipartisan piece of immigration

681
00:33:13,800 --> 00:33:17,800
Speaker 3: legislation that has passed the US Congress in almost twenty years.

682
00:33:18,240 --> 00:33:20,320
Speaker 3: Just to give people the scale of how much of

683
00:33:20,400 --> 00:33:23,680
Speaker 3: a change that has now happened. So that's crazy, first

684
00:33:23,720 --> 00:33:27,120
Speaker 3: and foremost, Past the House, past the Senate, the House

685
00:33:27,120 --> 00:33:30,080
Speaker 3: of Representatives, the forty six Democrats joining on is a

686
00:33:30,120 --> 00:33:30,520
Speaker 3: little bit.

687
00:33:30,720 --> 00:33:32,560
Speaker 1: You know, it makes sense, but it's not like it's

688
00:33:32,600 --> 00:33:33,760
Speaker 1: a big part of the coalition.

689
00:33:33,880 --> 00:33:35,680
Speaker 3: The crazy part is it was after enough to get

690
00:33:35,760 --> 00:33:39,120
Speaker 3: a filibuster proof majority through the through the Senate. That's

691
00:33:39,200 --> 00:33:42,360
Speaker 3: actually the big hurdle that happens. So Trump will sign

692
00:33:42,440 --> 00:33:45,680
Speaker 3: that piece of legislation into law. Let's continue here, Let's

693
00:33:45,680 --> 00:33:48,200
Speaker 3: go to the next part just to show people like

694
00:33:48,320 --> 00:33:50,800
Speaker 3: who voted for the bill, so you can actually see

695
00:33:50,880 --> 00:33:52,840
Speaker 3: all of the states. I mean, it really does go

696
00:33:53,120 --> 00:33:57,160
Speaker 3: the gamut in terms of both the House Democrats, people

697
00:33:57,280 --> 00:33:59,480
Speaker 3: like Josh Gottheimer from New Jersey. By the way, chrisl

698
00:33:59,520 --> 00:34:00,920
Speaker 3: I don't know if you know this, he's been passing

699
00:34:01,000 --> 00:34:04,360
Speaker 3: around packets of salt around the house because he's so

700
00:34:05,280 --> 00:34:06,200
Speaker 3: enthusiastic way.

701
00:34:06,160 --> 00:34:07,000
Speaker 4: The Republican support.

702
00:34:07,080 --> 00:34:09,000
Speaker 3: Well, he gives them the immigration thing and then maybe

703
00:34:09,040 --> 00:34:11,120
Speaker 3: they'll give him an increase in the stalt cap for

704
00:34:11,160 --> 00:34:11,840
Speaker 3: his rich constitution.

705
00:34:11,920 --> 00:34:13,200
Speaker 4: I mean, yeah, you've got him.

706
00:34:13,320 --> 00:34:18,120
Speaker 2: You got Richard torres On there, quare folk?

707
00:34:18,280 --> 00:34:18,520
Speaker 4: What's that?

708
00:34:18,680 --> 00:34:20,319
Speaker 1: Who are some other high profile folks here?

709
00:34:20,480 --> 00:34:22,320
Speaker 4: Kaars there makes sense though.

710
00:34:23,520 --> 00:34:26,080
Speaker 2: Well, and I mean I was also right wing, consistently

711
00:34:26,160 --> 00:34:30,920
Speaker 2: sort of right wing. So my new congressman, Congressman Vinman,

712
00:34:31,280 --> 00:34:32,560
Speaker 2: Oh no, I don't know.

713
00:34:33,920 --> 00:34:36,440
Speaker 4: So he's an ally with you in this one.

714
00:34:36,600 --> 00:34:41,040
Speaker 2: Terry Sewell, she's an African American woman congressman from Alabama

715
00:34:41,120 --> 00:34:43,960
Speaker 2: Jared Golden, who also is one who's kind of like,

716
00:34:44,239 --> 00:34:46,320
Speaker 2: I don't know, his politics are a little hard to describe.

717
00:34:46,400 --> 00:34:51,600
Speaker 2: Lucy McBeth Lake and Riley's was from Georgia, So you

718
00:34:51,719 --> 00:34:56,440
Speaker 2: had a number of Georgia members here, plus both Georgia senators.

719
00:34:58,200 --> 00:35:00,719
Speaker 4: We're not gonna off both vote for it as well.

720
00:35:00,920 --> 00:35:04,799
Speaker 3: Right, Let's continue along that there has been a glut

721
00:35:05,080 --> 00:35:09,400
Speaker 3: of polling now after the election around immigration and some

722
00:35:09,560 --> 00:35:14,680
Speaker 3: of the individual actions, and mass deportation in particular has

723
00:35:14,719 --> 00:35:17,520
Speaker 3: been one that's been polled, but also all of kind

724
00:35:17,520 --> 00:35:21,840
Speaker 3: of the sub ideas of immigration, running from ending birthright

725
00:35:21,960 --> 00:35:25,960
Speaker 3: citizenship up to just deporting illegal immigrants who came here

726
00:35:26,040 --> 00:35:27,640
Speaker 3: under the Biden administration.

727
00:35:27,840 --> 00:35:29,520
Speaker 1: CNNs Harry Enton broke some.

728
00:35:29,600 --> 00:35:30,000
Speaker 6: Of that down.

729
00:35:30,080 --> 00:35:32,040
Speaker 1: Some of it is popular, some of it is very unpopular.

730
00:35:32,239 --> 00:35:35,000
Speaker 8: Let's take a listen, all immigrants who are here illegally

731
00:35:35,160 --> 00:35:37,320
Speaker 8: fifty five percent of the New York Times Marquette sixty

732
00:35:37,400 --> 00:35:40,360
Speaker 8: four percent, CBS News fifty seven percent, ABC News with

733
00:35:40,440 --> 00:35:42,320
Speaker 8: a slightly different question fifty six percent.

734
00:35:42,640 --> 00:35:46,960
Speaker 9: So what you're seeing essentially here is very clear indication

735
00:35:47,080 --> 00:35:49,919
Speaker 9: that a majority of Americans, in fact, when they're asked

736
00:35:49,960 --> 00:35:52,600
Speaker 9: this one question, which I believe gets that the underlying feelings,

737
00:35:52,920 --> 00:35:55,520
Speaker 9: do in fact want to to port all immigrants who

738
00:35:55,560 --> 00:35:58,319
Speaker 9: are here illegally. There's no arguing with these different numbers

739
00:35:58,360 --> 00:36:01,360
Speaker 9: because they're all essentially the sam us four different posters.

740
00:36:01,520 --> 00:36:03,120
Speaker 9: You go back to twenty fifteen, I'm gonna come to

741
00:36:03,120 --> 00:36:05,400
Speaker 9: your side screen, it's forty two percent. Hello. Go to

742
00:36:05,480 --> 00:36:08,120
Speaker 9: twenty sixteen, it was thirty six percent. Look at where

743
00:36:08,160 --> 00:36:10,320
Speaker 9: we are now, this was taken at the end of

744
00:36:10,400 --> 00:36:14,000
Speaker 9: last year, fifty six percent. This is twenty points higher

745
00:36:14,040 --> 00:36:16,040
Speaker 9: than it was just before Trump got to office the

746
00:36:16,080 --> 00:36:16,520
Speaker 9: first time.

747
00:36:16,840 --> 00:36:19,279
Speaker 3: There you go, that's as clear as day in terms

748
00:36:19,280 --> 00:36:21,719
Speaker 3: of mass deportation. But like I said, I got to

749
00:36:21,760 --> 00:36:24,759
Speaker 3: present all sides of the picture. Birthright citizenship, though, is

750
00:36:24,800 --> 00:36:28,600
Speaker 3: significantly underwater. Ending birthright citizenship what I mean one of

751
00:36:28,640 --> 00:36:30,960
Speaker 3: those executive orders that Donald Trump signed on the first

752
00:36:31,000 --> 00:36:31,520
Speaker 3: day of office.

753
00:36:31,640 --> 00:36:32,800
Speaker 1: Let's take a listen to Harry on that.

754
00:36:33,120 --> 00:36:36,160
Speaker 9: I mean, Look, I think Donald Trump is by pushing

755
00:36:36,280 --> 00:36:39,200
Speaker 9: policies like this or just trying to eliminate his honeymoon

756
00:36:39,280 --> 00:36:42,440
Speaker 9: period completely because this is just not a popular policy.

757
00:36:42,520 --> 00:36:45,839
Speaker 9: And birthright citizenship for children born to immigrants illegally here

758
00:36:45,880 --> 00:36:49,160
Speaker 9: look at this, just thirty five percent support the clear

759
00:36:49,280 --> 00:36:53,680
Speaker 9: majority fifty three percent of pose. And I've looked at

760
00:36:53,800 --> 00:36:57,160
Speaker 9: multiple polls, looked at the question, asked multiple different ways.

761
00:36:57,400 --> 00:37:00,480
Speaker 9: If anything, this under sells the opposition by a little bit.

762
00:37:00,680 --> 00:37:02,759
Speaker 9: If you don't in fact mentioned for tiltren born to

763
00:37:02,800 --> 00:37:06,080
Speaker 9: immigants here legally and just and ask about ending birthright citizenship,

764
00:37:06,200 --> 00:37:09,000
Speaker 9: the opposition shoots all the way up to about seventy percent.

765
00:37:09,440 --> 00:37:12,279
Speaker 9: But this fifty three percent is clearly indicative of a

766
00:37:12,320 --> 00:37:16,120
Speaker 9: country that does not want to end birthright citizenship. Simply put,

767
00:37:16,719 --> 00:37:20,160
Speaker 9: this is not a popular policy. And if Donald Trump

768
00:37:20,200 --> 00:37:23,759
Speaker 9: pushes policies like this, his honeymoon period will squeeze and

769
00:37:23,840 --> 00:37:26,480
Speaker 9: be even shorter than it was back in twenty seventeen.

770
00:37:26,640 --> 00:37:27,680
Speaker 4: Okay, have opinion.

771
00:37:28,280 --> 00:37:31,320
Speaker 3: So you can see there that definitely opinion runs the gamut,

772
00:37:31,360 --> 00:37:33,640
Speaker 3: and it all shows you that's not necessarily as a

773
00:37:34,200 --> 00:37:37,000
Speaker 3: rosy as I might like it to be. Let's put

774
00:37:37,040 --> 00:37:39,040
Speaker 3: this up there from the New York Times, because they

775
00:37:39,040 --> 00:37:41,600
Speaker 3: also did a good job of breaking down each one

776
00:37:41,640 --> 00:37:44,360
Speaker 3: of these individual questions. So, for example, which of the

777
00:37:44,480 --> 00:37:47,680
Speaker 3: following comes closest to your opinion about our nation's political system?

778
00:37:47,800 --> 00:37:49,800
Speaker 3: It has been broken for decades, It has been broken

779
00:37:49,840 --> 00:37:51,279
Speaker 3: only for the last few years.

780
00:37:51,400 --> 00:37:53,960
Speaker 1: It is not broken. I can report that only nine

781
00:37:54,040 --> 00:37:56,440
Speaker 1: percent of US adults say it is not broken. I

782
00:37:56,520 --> 00:37:57,120
Speaker 1: need to meet these.

783
00:37:57,120 --> 00:37:58,839
Speaker 4: Days, you know, I really interviewed those folks.

784
00:37:59,320 --> 00:38:02,640
Speaker 1: But on im creation actually is where things get really interesting.

785
00:38:02,719 --> 00:38:04,600
Speaker 3: So from the New York Times, do you support or

786
00:38:04,640 --> 00:38:08,440
Speaker 3: oppose each of the following deporting immigrants we're here illegally

787
00:38:08,480 --> 00:38:11,959
Speaker 3: and have criminal records eighty seven percent, ten percent of POSE.

788
00:38:12,200 --> 00:38:14,680
Speaker 3: Deporting immigrants who are here illegally and arrived over the

789
00:38:14,760 --> 00:38:17,640
Speaker 3: last four years sixty three percent, three thirty three percent

790
00:38:17,680 --> 00:38:20,880
Speaker 3: of POSE. Deporting all immigrants who are here illegally aka

791
00:38:21,080 --> 00:38:24,399
Speaker 3: mass deportation fifty five percent, forty two percent of POSE.

792
00:38:24,719 --> 00:38:27,560
Speaker 3: Then ending birthright citizenship for born to immigrants who are

793
00:38:27,560 --> 00:38:30,520
Speaker 3: here illegally is forty one percent. And then finally the

794
00:38:30,640 --> 00:38:33,640
Speaker 3: least popular one is ending protection from deportation for immigrants

795
00:38:33,680 --> 00:38:36,600
Speaker 3: who were children when they entered the US illegally, otherwise

796
00:38:36,719 --> 00:38:40,799
Speaker 3: known as DACA recipients and or dreamers. So you can

797
00:38:40,880 --> 00:38:44,360
Speaker 3: see here that what Trump I believe has happened and

798
00:38:44,600 --> 00:38:48,160
Speaker 3: from my speaking people who are around the administration is

799
00:38:48,200 --> 00:38:50,160
Speaker 3: they're trying to flood the zone strategy. So what do

800
00:38:50,239 --> 00:38:52,239
Speaker 3: you do when you're doing something unpopular, You also need

801
00:38:52,280 --> 00:38:54,640
Speaker 3: to do something that's really popular. So they are trying

802
00:38:54,680 --> 00:38:57,320
Speaker 3: to keep it so that the conversation is not around

803
00:38:57,719 --> 00:39:00,560
Speaker 3: any one issue, but is just a flood of executive

804
00:39:00,680 --> 00:39:03,920
Speaker 3: orders and a major change to the status quo. That's

805
00:39:04,000 --> 00:39:07,359
Speaker 3: where mass deportation and some of the actions we're about

806
00:39:07,360 --> 00:39:09,640
Speaker 3: to talk about really come into play in addition to

807
00:39:09,760 --> 00:39:12,680
Speaker 3: things like the Lake and Riley Act. But really, what

808
00:39:13,120 --> 00:39:17,200
Speaker 3: I see is a basic collapse of the democratic argument

809
00:39:17,320 --> 00:39:20,080
Speaker 3: around immigration. I mean, I'm happy to see it, but

810
00:39:20,239 --> 00:39:25,160
Speaker 3: it is really interesting because I think it just demonstrates

811
00:39:25,239 --> 00:39:28,480
Speaker 3: how fake democratic opposition has been on this issue now

812
00:39:28,880 --> 00:39:31,279
Speaker 3: for so long. It's like we've talked about, I mean,

813
00:39:31,320 --> 00:39:32,799
Speaker 3: maybe this is where we can find some common ground.

814
00:39:32,840 --> 00:39:35,160
Speaker 3: It's like, hey, people don't believe anything. You went from

815
00:39:35,239 --> 00:39:40,520
Speaker 3: twenty eighteen weeping outside of these you know, deportation camps

816
00:39:40,640 --> 00:39:44,960
Speaker 3: or whatever, and the screeching, you know, and the and

817
00:39:45,200 --> 00:39:49,200
Speaker 3: just oh, the fascism argument to voting for the Lake

818
00:39:49,280 --> 00:39:52,200
Speaker 3: and Riley Act, a position that you all opposed on

819
00:39:52,320 --> 00:39:54,880
Speaker 3: the stage. You remember in twenty nineteen on the Democrat

820
00:39:54,960 --> 00:39:58,120
Speaker 3: every single candidate on that stage opposed what is now

821
00:39:58,320 --> 00:40:00,719
Speaker 3: being passed in the Lake and which is passed a

822
00:40:00,840 --> 00:40:03,120
Speaker 3: super majority through the Senate and through the House of

823
00:40:03,200 --> 00:40:06,960
Speaker 3: Representatives to send to Donald Trump's desk here, So what's

824
00:40:07,239 --> 00:40:10,200
Speaker 3: happening exactly with that or we just we're all supposed

825
00:40:10,200 --> 00:40:10,880
Speaker 3: to have amnesia.

826
00:40:11,080 --> 00:40:14,960
Speaker 2: They're cowards by and large, Like obviously there are you know,

827
00:40:15,120 --> 00:40:17,160
Speaker 2: there are some Democrats who there are most of the

828
00:40:17,200 --> 00:40:20,360
Speaker 2: Democrats a opposed as blah blah blah, but certainly the

829
00:40:20,960 --> 00:40:29,360
Speaker 2: level of consistent opposition to Trump immigration hawkishness is gone.

830
00:40:29,600 --> 00:40:32,000
Speaker 4: It's gone. I mean, and this happened even before Trump

831
00:40:32,120 --> 00:40:32,480
Speaker 4: was elected.

832
00:40:32,520 --> 00:40:35,040
Speaker 2: You remember, they decided like, oh, we're going to show

833
00:40:35,040 --> 00:40:38,360
Speaker 2: the Republicans, we're going to get behind this like hawkish

834
00:40:38,840 --> 00:40:42,640
Speaker 2: border security owned only bill with no pathway to citizenship.

835
00:40:42,719 --> 00:40:44,400
Speaker 2: We're going to show them that we're the ones who

836
00:40:44,440 --> 00:40:45,799
Speaker 2: are really tough on the board. I mean, think about

837
00:40:45,800 --> 00:40:48,480
Speaker 2: how much Kamala Harris positioned herself as like, I'm the

838
00:40:48,520 --> 00:40:52,560
Speaker 2: only person here who's prosecuted transnational gangs. You know, I'm

839
00:40:52,640 --> 00:40:55,400
Speaker 2: the real border hawk blah blah blah. So I mean,

840
00:40:55,440 --> 00:41:00,319
Speaker 2: the bottom line is that they are mostly cowards who

841
00:41:00,800 --> 00:41:04,920
Speaker 2: don't really many of them have their own ideology or

842
00:41:05,000 --> 00:41:07,440
Speaker 2: have things that they're willing to fight for even when

843
00:41:07,480 --> 00:41:10,160
Speaker 2: it's a little uncomfortable or even when at that particular

844
00:41:10,239 --> 00:41:14,440
Speaker 2: political moment it's you know, a little unpopular. They and

845
00:41:14,560 --> 00:41:18,800
Speaker 2: this is this is a core rot of neoliberal brain

846
00:41:19,320 --> 00:41:23,720
Speaker 2: which infects you know, corners of both parties, but notably

847
00:41:24,000 --> 00:41:27,600
Speaker 2: not Trump. Trump is willing to like bulldozer through whatever

848
00:41:27,719 --> 00:41:28,320
Speaker 2: he wants to.

849
00:41:28,880 --> 00:41:30,200
Speaker 4: Even if you know, ending.

850
00:41:30,080 --> 00:41:33,719
Speaker 2: Birthright citizenship is dramatically unpopular, He's going to go ahead

851
00:41:33,719 --> 00:41:37,800
Speaker 2: and do it, even hardening j sixers who beat cops

852
00:41:38,440 --> 00:41:40,800
Speaker 2: obviously wildly unpopular.

853
00:41:41,160 --> 00:41:43,200
Speaker 4: But he'll just bouldoze through and do it.

854
00:41:43,760 --> 00:41:47,320
Speaker 2: And you know, on the the neoliberal brain says basically

855
00:41:47,440 --> 00:41:49,880
Speaker 2: like I don't have any values of my own. I

856
00:41:50,000 --> 00:41:52,840
Speaker 2: outsource all of my thinking to markets and polls. And

857
00:41:52,920 --> 00:41:56,520
Speaker 2: the extension, the political ideology extension of that is quote

858
00:41:56,600 --> 00:42:00,799
Speaker 2: unquote popularism, where it's just let me rather than having my.

859
00:42:00,960 --> 00:42:03,280
Speaker 4: Own like vision and view of the world.

860
00:42:03,960 --> 00:42:06,360
Speaker 2: I'm going to take a poll, and I'm going to

861
00:42:06,440 --> 00:42:09,680
Speaker 2: treat that poll as gospel as to what people think

862
00:42:10,239 --> 00:42:13,040
Speaker 2: and where they are, and I'm just going to cater

863
00:42:13,160 --> 00:42:15,840
Speaker 2: to that in the focus groups whatever. It is a

864
00:42:16,000 --> 00:42:19,320
Speaker 2: completely failed way of doing politics. And this is what

865
00:42:19,360 --> 00:42:21,360
Speaker 2: I've been trying to shout for the rooftops. And you

866
00:42:21,440 --> 00:42:25,080
Speaker 2: know two people who are very different ideologically who seem.

867
00:42:24,840 --> 00:42:27,360
Speaker 4: To understand this are number one, Donald Trump, who will.

868
00:42:27,200 --> 00:42:30,880
Speaker 2: Just relentlessly push his view and his vision of the world,

869
00:42:31,600 --> 00:42:34,720
Speaker 2: however it polls and however people may you know, complain

870
00:42:34,760 --> 00:42:38,080
Speaker 2: about it, and Bernie Sanders, who has his own very

871
00:42:38,239 --> 00:42:41,000
Speaker 2: specific and clear cut vision of the world and isn't

872
00:42:41,080 --> 00:42:43,480
Speaker 2: buffeted around bio. A pole says this today, or a

873
00:42:43,560 --> 00:42:46,640
Speaker 2: pol says that last week, or oh it's a little uncomfortable.

874
00:42:46,160 --> 00:42:49,400
Speaker 4: Et cetera, et cetera. And guess what, people respect that.

875
00:42:49,640 --> 00:42:54,200
Speaker 2: And that's how if you care about actually implementing your

876
00:42:54,280 --> 00:42:57,279
Speaker 2: principles and ideology, you have to be a leader and

877
00:42:57,400 --> 00:42:59,800
Speaker 2: make the case to people and push them to your position.

878
00:43:00,160 --> 00:43:03,520
Speaker 2: And that's what Republicans on mass deportation have successfully done,

879
00:43:03,560 --> 00:43:05,000
Speaker 2: and specifically Donald Trump.

880
00:43:05,120 --> 00:43:07,600
Speaker 4: Has successfully done.

881
00:43:08,080 --> 00:43:10,759
Speaker 2: Part of that is, yes, the reality of war people

882
00:43:10,800 --> 00:43:13,560
Speaker 2: come into the border, although at this particular moment in

883
00:43:13,640 --> 00:43:15,880
Speaker 2: this drop happened even before the election, we're at like

884
00:43:15,920 --> 00:43:19,320
Speaker 2: a five year low in terms of number of illegal crossings.

885
00:43:19,360 --> 00:43:22,080
Speaker 2: But you know, there was the reality migrants getting bus

886
00:43:22,120 --> 00:43:22,640
Speaker 2: to staties, et.

887
00:43:22,600 --> 00:43:23,120
Speaker 4: Cetera, et cetera.

888
00:43:23,360 --> 00:43:27,000
Speaker 2: And it was also Democrats abandoning the principles that five

889
00:43:27,040 --> 00:43:28,799
Speaker 2: seconds ago they claimed they stood by.

890
00:43:29,080 --> 00:43:30,080
Speaker 4: So of course the public's going.

891
00:43:30,000 --> 00:43:32,279
Speaker 2: To look into well, both parties basically agree that this

892
00:43:32,400 --> 00:43:34,800
Speaker 2: whole immigration thing is like a real problem. These migrants

893
00:43:34,800 --> 00:43:36,759
Speaker 2: are a big issue. So where do you think the

894
00:43:36,840 --> 00:43:39,920
Speaker 2: polling is going to go? So this is the piece

895
00:43:40,000 --> 00:43:45,600
Speaker 2: the part of politics that liberal Democrats are fundamentally incapable

896
00:43:45,680 --> 00:43:47,520
Speaker 2: of really wrapping their heads around.

897
00:43:47,760 --> 00:43:48,759
Speaker 4: You have to be a leader.

898
00:43:49,200 --> 00:43:51,919
Speaker 2: People's opinions are not set in stone. I mean, even

899
00:43:51,960 --> 00:43:54,359
Speaker 2: the immigration like polling that we're showing you right now,

900
00:43:54,400 --> 00:43:56,839
Speaker 2: which put the AP poll up on the screen as well,

901
00:43:57,719 --> 00:44:02,320
Speaker 2: it's not you know, depends on how people are asked

902
00:44:02,400 --> 00:44:05,840
Speaker 2: the question, and it depends on how you frame it

903
00:44:06,080 --> 00:44:09,320
Speaker 2: and what particular part of the policy you're asking about.

904
00:44:09,680 --> 00:44:12,800
Speaker 2: Most people are not like hardcore ideologues the way that

905
00:44:12,880 --> 00:44:15,520
Speaker 2: frankly you and I are sager. Most people are like

906
00:44:15,680 --> 00:44:17,360
Speaker 2: you know, it depends on kind of the vibes and

907
00:44:17,400 --> 00:44:19,560
Speaker 2: the moon and what they heard and how the questions asked,

908
00:44:19,600 --> 00:44:22,120
Speaker 2: et cetera. You can move people and change public opinions.

909
00:44:22,160 --> 00:44:25,640
Speaker 2: So in this poll, about four and ten American adults

910
00:44:25,640 --> 00:44:29,360
Speaker 2: support deporting all immigrants living in the US illegally, and

911
00:44:29,480 --> 00:44:31,640
Speaker 2: a similar share are post So it's pretty much like

912
00:44:31,760 --> 00:44:33,759
Speaker 2: fifty to fifty here or forty forty, and I guess

913
00:44:33,760 --> 00:44:36,560
Speaker 2: the other twenty percent like I don't know, but another

914
00:44:36,719 --> 00:44:39,200
Speaker 2: they test in another policy that it was just announced

915
00:44:39,200 --> 00:44:42,640
Speaker 2: that they're lifting the restrictions on deportations from quote unquote

916
00:44:42,640 --> 00:44:46,600
Speaker 2: sensitive places. That's places like churches in school, wildly unpopular

917
00:44:46,719 --> 00:44:50,200
Speaker 2: to do that. Only twenty percent support arresting immigrants at church.

918
00:44:50,320 --> 00:44:53,960
Speaker 2: Eighteen percent support, you know, pulling kids out of school

919
00:44:54,320 --> 00:44:57,799
Speaker 2: to deport them. Relatively few Americans, only three and ten

920
00:44:57,920 --> 00:45:00,520
Speaker 2: in this particular pole somewhat are strongly f change in

921
00:45:00,560 --> 00:45:02,440
Speaker 2: the constitution so kids born in the US are not

922
00:45:02,520 --> 00:45:05,800
Speaker 2: automatically granted citizenship. That's the birthright citizenship thing that we

923
00:45:05,920 --> 00:45:09,280
Speaker 2: were talking about. So there is even within the Trump

924
00:45:09,360 --> 00:45:13,080
Speaker 2: policy right now, if Democrats decided to have a principle,

925
00:45:13,239 --> 00:45:15,520
Speaker 2: there are plenty of things to go after. But to

926
00:45:15,600 --> 00:45:19,440
Speaker 2: your Pointzager, the flood zone strategy is not just to

927
00:45:19,880 --> 00:45:22,040
Speaker 2: try to counterbalance the things that are unpopular with the

928
00:45:22,120 --> 00:45:25,120
Speaker 2: things that are popular. It's also to try to keep

929
00:45:25,280 --> 00:45:30,960
Speaker 2: the opposition from settling on one consistent attack and to

930
00:45:31,080 --> 00:45:34,800
Speaker 2: keep them sort of like scattered. And you know, the

931
00:45:34,920 --> 00:45:36,840
Speaker 2: crazy thing to me is, like, you know, looking at

932
00:45:36,880 --> 00:45:40,520
Speaker 2: a political party, is they a lot of these executive

933
00:45:40,640 --> 00:45:43,640
Speaker 2: orders that he signed. It's not like they were a surprise.

934
00:45:44,200 --> 00:45:46,440
Speaker 2: Many of them were in Project twenty twenty five. Many

935
00:45:46,440 --> 00:45:48,480
Speaker 2: of them are things that he's been advertised and I've

936
00:45:48,480 --> 00:45:50,080
Speaker 2: been leaked to the press for weeks and weeks now,

937
00:45:50,520 --> 00:45:54,000
Speaker 2: and where is there is really no consistent, like sort

938
00:45:54,000 --> 00:45:57,760
Speaker 2: of unified democratic plan to attack any of these things

939
00:45:58,719 --> 00:46:01,239
Speaker 2: right now, let alone imm ag So anyway, that was

940
00:46:01,280 --> 00:46:03,600
Speaker 2: a long Seriit about like sort of my political you know,

941
00:46:04,280 --> 00:46:06,960
Speaker 2: meta political views and how these things work. But the

942
00:46:07,080 --> 00:46:12,000
Speaker 2: Republicans wanted to make the country more nativists and more

943
00:46:12,160 --> 00:46:15,960
Speaker 2: hawkish on immigration. They did that, and the Democratic opposition

944
00:46:16,200 --> 00:46:19,479
Speaker 2: completely collapsed, and not only did they lose the battle

945
00:46:19,520 --> 00:46:21,080
Speaker 2: on the issue, but they also showed themselves to be

946
00:46:21,120 --> 00:46:22,120
Speaker 2: fundamentally on principled.

947
00:46:22,239 --> 00:46:25,319
Speaker 3: Yes, I agree half of that in terms of there

948
00:46:25,360 --> 00:46:28,959
Speaker 3: are unprincipled. As I always say, I think reality played

949
00:46:29,000 --> 00:46:31,279
Speaker 3: a role of the people. Actually reality played a role

950
00:46:31,320 --> 00:46:33,440
Speaker 3: fair enough, but I'm saying Biden was a huge part

951
00:46:33,480 --> 00:46:35,239
Speaker 3: of it. He could change the immigration status quote more

952
00:46:35,280 --> 00:46:37,960
Speaker 3: than any president in modern American history in terms of

953
00:46:38,000 --> 00:46:41,160
Speaker 3: the number of illegals who entered under his watch. So okay, yeah,

954
00:46:41,200 --> 00:46:43,440
Speaker 3: of course that's going to radically change the way that

955
00:46:43,600 --> 00:46:45,040
Speaker 3: I mean. You know, it's funny if you look at

956
00:46:45,040 --> 00:46:48,440
Speaker 3: support for mass deportation. It was underwater in twenty sixteen,

957
00:46:48,760 --> 00:46:52,040
Speaker 3: as Harry played, even with Republicans, people were not bought in.

958
00:46:52,280 --> 00:46:55,120
Speaker 1: Yeah, but when you have the border.

959
00:46:55,160 --> 00:46:58,080
Speaker 3: Basically have ten million people who come here illegally in

960
00:46:58,120 --> 00:47:01,840
Speaker 3: a four year period, well, yeah, that's going to completely change.

961
00:47:01,880 --> 00:47:04,600
Speaker 3: Well here Trump also played a big role in that, right,

962
00:47:04,840 --> 00:47:09,440
Speaker 3: the status quo change on top of the argument it

963
00:47:09,560 --> 00:47:13,640
Speaker 3: basically aligned perfectly then with also the popular vote, and

964
00:47:13,719 --> 00:47:18,200
Speaker 3: then the collapse of democratic argumentation means that they are

965
00:47:19,040 --> 00:47:21,759
Speaker 3: I mean, people who are immigration restrictionsts like myself have

966
00:47:22,080 --> 00:47:24,440
Speaker 3: never been in a more powerful posiness. This went from

967
00:47:24,960 --> 00:47:28,600
Speaker 3: a fringe position of Stephen Miller and Jeff Sessions in

968
00:47:28,719 --> 00:47:32,520
Speaker 3: two thy fifteen, ten years ago, one member of the

969
00:47:32,640 --> 00:47:35,960
Speaker 3: United States Senate and a guy named Stephen Miller to

970
00:47:36,320 --> 00:47:38,960
Speaker 3: the policy of the United States government.

971
00:47:39,000 --> 00:47:42,600
Speaker 2: And here's what I want people to understand. That position

972
00:47:42,920 --> 00:47:46,400
Speaker 2: was wildly unpopular at the time. Did that make them go, oh,

973
00:47:46,520 --> 00:47:49,120
Speaker 2: we can't We just got to we got to do

974
00:47:49,440 --> 00:47:51,160
Speaker 2: you know, we got to do a gang of eight immigration,

975
00:47:51,280 --> 00:47:52,040
Speaker 2: We got to move to the.

976
00:47:52,080 --> 00:47:54,120
Speaker 1: Left on this, We got to accept kill a gang

977
00:47:54,160 --> 00:47:55,400
Speaker 1: of eight was was a part of that.

978
00:47:55,560 --> 00:47:59,440
Speaker 2: No, it did not did not cause the Stephen Millers

979
00:47:59,760 --> 00:48:02,000
Speaker 2: and the Steve Bannon's and the Donald Trumps and the

980
00:48:02,040 --> 00:48:05,880
Speaker 2: Jeff Sessions of the world to suddenly change their position

981
00:48:06,480 --> 00:48:10,359
Speaker 2: and bend to the current political moment. Instead, they made

982
00:48:10,400 --> 00:48:14,440
Speaker 2: it a project of over years pushing a consistent vision

983
00:48:14,600 --> 00:48:17,960
Speaker 2: and message, and guess what, You're right, Sager, they won.

984
00:48:18,560 --> 00:48:24,840
Speaker 2: And you can see democratics democrat pathetic, like just complete capitulation.

985
00:48:24,920 --> 00:48:26,759
Speaker 4: To this worldview.

986
00:48:27,880 --> 00:48:31,520
Speaker 2: Now, what I would say is the caution is that

987
00:48:31,920 --> 00:48:37,520
Speaker 2: after Trump was elected and began implementing, you know, child

988
00:48:37,600 --> 00:48:40,719
Speaker 2: separation policy, and we had those you know, horrific like

989
00:48:40,920 --> 00:48:43,719
Speaker 2: I would say, cruel images coming out from the detention center,

990
00:48:43,920 --> 00:48:46,440
Speaker 2: kids being intentionally taken away from their parents, etc. And

991
00:48:46,640 --> 00:48:50,360
Speaker 2: orphaned in certain instances, and the public had a revulsion

992
00:48:50,480 --> 00:48:55,240
Speaker 2: to that. The support for those immigration policies dropped even further,

993
00:48:55,680 --> 00:48:58,080
Speaker 2: so that there was the lowest level we've had in

994
00:48:58,800 --> 00:49:03,120
Speaker 2: the past number of decades. It's for hawkish immigration policy

995
00:49:03,320 --> 00:49:05,520
Speaker 2: that we've seen. And that's what Democrats responded to in

996
00:49:05,600 --> 00:49:07,239
Speaker 2: that twenty twenty primary, and why they were all in

997
00:49:07,280 --> 00:49:09,120
Speaker 2: a very different place was because the pulling was in

998
00:49:09,160 --> 00:49:12,320
Speaker 2: a very different place at that point. So there is

999
00:49:12,360 --> 00:49:15,120
Speaker 2: a risk here because they are planning on you know,

1000
00:49:15,239 --> 00:49:18,600
Speaker 2: they got rid of the restrictions on the pulling people

1001
00:49:18,640 --> 00:49:21,360
Speaker 2: out a church or pulling kids down at school. Obviously

1002
00:49:21,480 --> 00:49:24,359
Speaker 2: child separation is going to be back. They actively well,

1003
00:49:24,400 --> 00:49:26,680
Speaker 2: I don't think you would disagree with this. They actively

1004
00:49:26,880 --> 00:49:29,920
Speaker 2: want some of those images of you know that are

1005
00:49:30,600 --> 00:49:34,440
Speaker 2: aggressive and unsettling and you know, cruel and all of

1006
00:49:34,560 --> 00:49:38,600
Speaker 2: those things, because part of the goal is they don't

1007
00:49:38,600 --> 00:49:41,160
Speaker 2: have the resources to deport everyone who's in the country.

1008
00:49:41,600 --> 00:49:44,600
Speaker 2: So what part of their ideology is, is you want

1009
00:49:44,640 --> 00:49:47,399
Speaker 2: to scare people into number one, not coming in number

1010
00:49:47,400 --> 00:49:48,560
Speaker 2: two quote unquote self deporting.

1011
00:49:48,640 --> 00:49:49,399
Speaker 1: Well, that's already working.

1012
00:49:49,520 --> 00:49:52,359
Speaker 3: Actually already we see images from the border where people

1013
00:49:52,400 --> 00:49:54,839
Speaker 3: are like, without CBP one, it's never going to happen.

1014
00:49:54,880 --> 00:49:56,319
Speaker 1: I should just go back. I actually just read a.

1015
00:49:56,280 --> 00:49:58,120
Speaker 2: People they were I mean, but those articles, those are

1016
00:49:58,120 --> 00:50:00,560
Speaker 2: people who are trying to come legal, trying to follow

1017
00:50:00,560 --> 00:50:02,640
Speaker 2: a legal process. So yeah, if there's no legal process,

1018
00:50:02,719 --> 00:50:03,680
Speaker 2: they're like, okay.

1019
00:50:03,480 --> 00:50:04,359
Speaker 1: Yeah, I mean I think it's great.

1020
00:50:04,400 --> 00:50:05,800
Speaker 3: And it's like, well, if you can go back, you

1021
00:50:05,880 --> 00:50:07,640
Speaker 3: weren't really fearing for your life, were you, It's not

1022
00:50:07,760 --> 00:50:08,400
Speaker 3: so untenable.

1023
00:50:08,800 --> 00:50:09,319
Speaker 1: Let's put this.

1024
00:50:09,400 --> 00:50:12,279
Speaker 3: Up there on the screen. Yeah, fine, go make your

1025
00:50:12,280 --> 00:50:14,399
Speaker 3: own country great again. We wish you the best. Let's

1026
00:50:14,400 --> 00:50:16,719
Speaker 3: put the ap up on the screen. The Pentagon is

1027
00:50:16,760 --> 00:50:19,640
Speaker 3: sending up fifteen hundred active duty troops to help secure

1028
00:50:19,960 --> 00:50:22,640
Speaker 3: the US Mexico border. That will be in addition to

1029
00:50:22,800 --> 00:50:25,600
Speaker 3: the twenty three hundred troops that Donald that President Biden

1030
00:50:25,680 --> 00:50:27,279
Speaker 3: sent actually to the border.

1031
00:50:27,280 --> 00:50:28,360
Speaker 1: It's actually less than Biden.

1032
00:50:28,440 --> 00:50:32,480
Speaker 3: Ironically, these troops apparently will be helping with some ISR

1033
00:50:32,600 --> 00:50:33,239
Speaker 3: and a few other things.

1034
00:50:33,239 --> 00:50:35,080
Speaker 1: There are a lot of legal restrictions.

1035
00:50:34,560 --> 00:50:38,040
Speaker 3: That apply to active duty US military troops operating in

1036
00:50:38,080 --> 00:50:40,880
Speaker 3: the United States. They can't actually participate in law enforcement.

1037
00:50:41,000 --> 00:50:42,360
Speaker 3: All they can really do is support it.

1038
00:50:42,600 --> 00:50:46,719
Speaker 2: That's a little unclear because well, in terms of so

1039
00:50:48,120 --> 00:50:51,040
Speaker 2: the number is roughly equivalent to what Biden sent in

1040
00:50:51,160 --> 00:50:54,480
Speaker 2: terms of active duty troops, Biden used them purely in

1041
00:50:54,560 --> 00:50:57,040
Speaker 2: those support roles that you know, are more sort of

1042
00:50:57,120 --> 00:50:58,960
Speaker 2: clear cut in terms of you don't want to run

1043
00:50:59,040 --> 00:51:03,200
Speaker 2: a foul of possecoma tatis, which is a restriction on

1044
00:51:03,360 --> 00:51:06,080
Speaker 2: you can have the military doing domestic law enforcement effectively.

1045
00:51:07,239 --> 00:51:08,640
Speaker 4: But Trump is.

1046
00:51:09,080 --> 00:51:13,279
Speaker 2: Declaring a national border emergency, and Wall Street Journal is

1047
00:51:13,360 --> 00:51:16,640
Speaker 2: reporting that part of the reason for doing that is

1048
00:51:16,719 --> 00:51:21,000
Speaker 2: to try to get around those laws that prohibit troops

1049
00:51:21,160 --> 00:51:25,399
Speaker 2: from engaging in law enforcement functions. So even though it's

1050
00:51:25,520 --> 00:51:29,320
Speaker 2: the same roughly number of people, the goal and the

1051
00:51:29,480 --> 00:51:32,680
Speaker 2: plan in terms of how they're used is quite different.

1052
00:51:32,719 --> 00:51:35,920
Speaker 2: Now that will certainly face legal obstacles, and it's yet

1053
00:51:35,960 --> 00:51:38,319
Speaker 2: to be seen whether Trump actually you know, deploys them

1054
00:51:38,360 --> 00:51:40,760
Speaker 2: in that way where they would be the ones detaining

1055
00:51:40,880 --> 00:51:43,319
Speaker 2: migrants and you know, holding them and rounding them up

1056
00:51:43,360 --> 00:51:45,120
Speaker 2: and all those sorts of things which normally has been

1057
00:51:45,160 --> 00:51:49,960
Speaker 2: completely out of bounce, but the declaration of a national emergency,

1058
00:51:50,040 --> 00:51:52,840
Speaker 2: which says, oh, this is a national security issue, ergo.

1059
00:51:52,760 --> 00:51:53,840
Speaker 4: I can use my military.

1060
00:51:54,320 --> 00:51:57,760
Speaker 2: Part of the goal is to directly enlist the military

1061
00:51:57,880 --> 00:52:01,320
Speaker 2: in those sorts of you know, typically law enforcement functions.

1062
00:52:01,480 --> 00:52:03,720
Speaker 3: A lot of this is also just because the border

1063
00:52:03,760 --> 00:52:06,719
Speaker 3: patrol just there's a lot of funding problems, like that's

1064
00:52:06,760 --> 00:52:07,840
Speaker 3: all controlled by Congress.

1065
00:52:08,160 --> 00:52:11,120
Speaker 1: The exact number of the people that they're allowed to hire.

1066
00:52:11,200 --> 00:52:12,480
Speaker 3: So if you do we even want to change the

1067
00:52:12,480 --> 00:52:15,000
Speaker 3: status quo, they don't have the employees at ice at

1068
00:52:15,040 --> 00:52:18,920
Speaker 3: border patrol, at DHS, so it would require you not

1069
00:52:19,200 --> 00:52:23,120
Speaker 3: just it would require basically a bipartisan act of Congress

1070
00:52:23,440 --> 00:52:25,080
Speaker 3: to change that status quo.

1071
00:52:25,200 --> 00:52:27,600
Speaker 1: Let's go to the next one. Here is a change

1072
00:52:27,719 --> 00:52:28,480
Speaker 1: in policy.

1073
00:52:29,040 --> 00:52:31,160
Speaker 3: We had previewed some of this where they say US

1074
00:52:31,239 --> 00:52:35,320
Speaker 3: border agents have instructed to summarily deport migrants without asylum hearings.

1075
00:52:35,560 --> 00:52:38,720
Speaker 3: What they have done is they have resurrected that Title

1076
00:52:38,800 --> 00:52:42,880
Speaker 3: forty two Law of Public Health concern and two twelve

1077
00:52:43,200 --> 00:52:45,640
Speaker 3: F that allows the presidents to suspend the entry of

1078
00:52:45,760 --> 00:52:49,000
Speaker 3: foreigners whose entry is deemed to be detrimental because of

1079
00:52:49,080 --> 00:52:52,319
Speaker 3: public health concerns. This was one that the Biden administration

1080
00:52:52,520 --> 00:52:54,480
Speaker 3: used for the first what was it two years, I

1081
00:52:54,560 --> 00:52:57,239
Speaker 3: think the first two years of the Biden administration with

1082
00:52:57,400 --> 00:52:59,680
Speaker 3: COVID as a justification.

1083
00:53:00,040 --> 00:53:02,160
Speaker 4: Trump had put it in place and they.

1084
00:53:02,120 --> 00:53:05,760
Speaker 3: Maintained the policy going forward. It's a public the document

1085
00:53:05,800 --> 00:53:08,280
Speaker 3: site the public Health related to twelve F. It applies

1086
00:53:08,320 --> 00:53:10,120
Speaker 3: to quote aliens that have traveled through a country with

1087
00:53:10,200 --> 00:53:13,520
Speaker 3: a communicable disease, and given that there are communicable diseases

1088
00:53:13,560 --> 00:53:17,600
Speaker 3: in Guatemala, Mexico, and Central America, it's pretty easy to justify.

1089
00:53:17,760 --> 00:53:22,280
Speaker 3: It's basically just a legal workaround to enforce the remain

1090
00:53:22,360 --> 00:53:26,400
Speaker 3: in Mexico policy. As the only viable path for asylum

1091
00:53:26,480 --> 00:53:29,360
Speaker 3: status in the United States. And what it means is

1092
00:53:29,400 --> 00:53:33,160
Speaker 3: that not only will there be deportations to Mexico, but

1093
00:53:33,280 --> 00:53:36,920
Speaker 3: remain in Mexico. Requires these people to remain in Mexico,

1094
00:53:37,040 --> 00:53:40,000
Speaker 3: as it means as they adjudicate their asylum claim, only

1095
00:53:40,160 --> 00:53:43,879
Speaker 3: after being legally approved they allowed to enter the United States.

1096
00:53:43,920 --> 00:53:45,640
Speaker 3: It's part of the reason why you know, you were

1097
00:53:45,640 --> 00:53:47,239
Speaker 3: saying that there has been a drop off, but the

1098
00:53:47,320 --> 00:53:49,279
Speaker 3: drop off from the drop off is even crazier. So

1099
00:53:49,719 --> 00:53:53,040
Speaker 3: the day before Joe Donald Trump took the office, four

1100
00:53:53,120 --> 00:53:57,000
Speaker 3: thousand people entered the United States under this CBP one

1101
00:53:57,400 --> 00:54:01,720
Speaker 3: asylum app It's dropped to five hundred. So we're talking

1102
00:54:01,840 --> 00:54:04,680
Speaker 3: about like, what is that am an eightfold decrease in

1103
00:54:04,760 --> 00:54:07,520
Speaker 3: the span of two days for what the policy looks

1104
00:54:07,600 --> 00:54:11,319
Speaker 3: like in practice, this, I want to be clear, will

1105
00:54:11,440 --> 00:54:15,879
Speaker 3: all face insane legal scrutiny. So for anyone who thinks

1106
00:54:15,920 --> 00:54:18,759
Speaker 3: that this is policy law of the land, yeah, that's

1107
00:54:18,800 --> 00:54:21,800
Speaker 3: not how it works. Title forty two and all that

1108
00:54:21,920 --> 00:54:24,120
Speaker 3: will make its way to SCOTUS, I'm sure very soon.

1109
00:54:24,280 --> 00:54:27,239
Speaker 3: That's what the immigration groups are doing to biden the

1110
00:54:27,320 --> 00:54:31,320
Speaker 3: PASTA coomatatis stuff is absolutely going to be under legal

1111
00:54:31,440 --> 00:54:35,520
Speaker 3: review birthright citizenship. I believe multi what was it, twenty

1112
00:54:35,640 --> 00:54:39,160
Speaker 3: five states have already filed suit against that, which means

1113
00:54:39,200 --> 00:54:41,760
Speaker 3: it will almost start, it'll be blocked by court tomorrow,

1114
00:54:42,120 --> 00:54:44,080
Speaker 3: almost certainly, and by that time it'll take a year

1115
00:54:44,120 --> 00:54:46,360
Speaker 3: and a half to go to the Supreme Court. So

1116
00:54:46,920 --> 00:54:49,759
Speaker 3: none of this is to be taken as this is

1117
00:54:49,800 --> 00:54:53,040
Speaker 3: one hundred percent what's happening. It is a preview of

1118
00:54:53,280 --> 00:54:55,239
Speaker 3: what they want to do and are trying to do,

1119
00:54:55,680 --> 00:54:59,440
Speaker 3: but what will inevitably face a lot of legal scrutiny

1120
00:54:59,640 --> 00:55:01,920
Speaker 3: from the courts and what they are allowed to do

1121
00:55:02,320 --> 00:55:03,440
Speaker 3: and and whatnot.

1122
00:55:03,520 --> 00:55:05,200
Speaker 1: So I do want people to keep that in mind

1123
00:55:05,239 --> 00:55:05,520
Speaker 1: as well.

1124
00:55:06,800 --> 00:55:14,800
Speaker 8: M m mmmmmmmmm