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Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George

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Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty.

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Speaker 2: Arm Strong and Jetty and he.

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Speaker 3: Armstrong and Yetty's largest AI infrastructure project by far in history.

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Speaker 2: The joint data center project is called Stargate.

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Speaker 4: I believe that as this technology progresses, we will see

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Speaker 4: diseases get cured at an unprecedented rate. We will be

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Speaker 4: amazed at how quickly we're carrying dis cancer and that

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Speaker 4: one in heart disease.

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Speaker 5: So leaning on the health stuff, I would too when

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Speaker 5: you're pushing AI, because it's the easiest to sell to

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Speaker 5: people as a clear positive, because there's lots of how

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Speaker 5: is this going to turn out? Or clear negatives that go.

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Speaker 2: Along with AI. But anyway, apparently.

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Speaker 5: We're committing to being the number one in the world

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Speaker 5: with AI, just like we've been number one with practically

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Speaker 5: everything else for the last century. That's the Trump administration

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Speaker 5: a half trillion dollar investment and AI infrastructure, including building

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Speaker 5: the world's largest computer and coming up with some sort

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Speaker 5: of energy source because I still don't quite understand this,

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Speaker 5: but AI takes a tremendous amount of energy, and where's

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Speaker 5: the electrustee going to come.

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Speaker 2: Back, come for that.

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Speaker 5: But it's a modern just watching some Fox coverage on this,

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Speaker 5: they're looking at it as the modern space race like

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Speaker 5: was happening in the late fifties early sixties between US

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Speaker 5: and the Soviet Union, except this time it's US in

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Speaker 5: China once again a communist power, and that if we

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Speaker 5: don't win this AI race, which they say we will

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Speaker 5: with this half trillion dollar investment, you know, it's going

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Speaker 5: to be really bad for the United States, really bad

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Speaker 5: for the world. One of the things Elon's been warning

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Speaker 5: about on that since the beginning, though, is once this

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Speaker 5: turns into a space race or a or a race

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Speaker 5: either for a safety you know, who's going to control

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Speaker 5: the world militarily, or for dollars, then all ethics go

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Speaker 5: out the window, because that's you know, that's the way

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Speaker 5: it works. And and he's really concerned that, you know,

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Speaker 5: the the downsides of AI won't be managed well when

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Speaker 5: it's a competition, which I'm sure he's correct, but I

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Speaker 5: don't know why you're going to stop it.

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Speaker 1: Oh, I think that's so clearly true. There's almost no

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Speaker 1: need to say yes, I mean exactly absolutely. I'm a

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Speaker 1: little uh Elon. Well, we've got a couple of clips

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Speaker 1: of some of the tech gurus at the White House

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Speaker 1: talking to Brett Berry yesterday.

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Speaker 2: Do we want him playing the of those.

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Speaker 5: Let's we're talking to Sam Altman, who's one of the

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Speaker 5: ogs of AI.

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Speaker 6: What this means for AI and the future for the

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Speaker 6: US investment here.

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Speaker 4: This means we can create AI and AGI in the

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Speaker 4: United States. In America. Wouldn't have been obvious that this

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Speaker 4: was possible, but I think at a different president it

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Speaker 4: might not have been possible. But we are thrilled to

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Speaker 4: get to do this, and I think it'll be great

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Speaker 4: for America. It's great for the whole world.

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Speaker 2: Tech bros, oligarchy's, et cetera. You should be cared, very scared.

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Speaker 5: There's be're talking to another tech billionaire, Larry Ellison.

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Speaker 6: Larry, you talked about what can come out of this

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Speaker 6: as far as healthcare and other things. People are starting

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Speaker 6: to get their head around AI, but not fully well.

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Speaker 7: When you go to the hospital these days, if you're

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Speaker 7: if you're using a modern system, excuse me using it

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Speaker 7: using a modern system, Uh, the doctor will get a

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Speaker 7: little note written by AI describing what the purpose of

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Speaker 7: the appointment and then that note will have your latest

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Speaker 7: lab tests and your uh and before so the doctor

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Speaker 7: is prepared when they meet with the patient.

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Speaker 3: Uh.

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Speaker 7: The the AI will actually listen to the conversation between

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Speaker 7: the doctor and the patient and make recommendations and improve

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Speaker 7: the likelihood that the patient is going to.

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Speaker 2: Get a high quality of care.

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Speaker 7: It's easier for the doctor, it's better outcomes for the patient. Uh.

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Speaker 7: It's really a revolution in medicine, but it's a revolution

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Speaker 7: in many other industries as well as well. Medicine just

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Speaker 7: touches us all.

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Speaker 5: Yeah, yeah, I Joe said earlier, and this is absolutely right.

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Speaker 5: They do have a tremendous financial interest in this succeeding.

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Speaker 5: So while it's true I think that there'll be tremendous

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Speaker 5: medical benefits.

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Speaker 2: I mean, you're really YadA YadA.

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Speaker 5: In the end of civilization by focusing on the medical stuff.

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Speaker 2: Yeah, it's it's complicated.

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Speaker 1: Yeah, they're trying to raise amounts of money that I

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Speaker 1: can't even comprehend. So naturally, this is both an announcement

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Speaker 1: and a huge sales pitch. It's interesting that Altman and

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Speaker 1: Ellison and the banker from SoftBank, who is a Japanese fellow,

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Speaker 1: what's his name. It doesn't matter. I can't remember. He's

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Speaker 1: a banker. They met with Trump. Trump was singing their praises,

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Speaker 1: singing the praises of the project. They were talking about

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Speaker 1: what a great president Trump is. The banker dude was saying,

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Speaker 1: he's right, this is a golden age. We're starting a

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Speaker 1: golden age of American blah blah blah. And Elon immediately

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Speaker 1: tweets out that they don't have the money. He said,

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Speaker 1: I have it on good authority soft banks only secured,

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Speaker 1: like as well, under ten billion dollars secured. And they're

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Speaker 1: talking about a five hundred billion dollar project. I gotta

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Speaker 1: believe Trump and Elon may have a short, uncomfortable conversation

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Speaker 1: about that.

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Speaker 5: What does he mean they don't have the money? So

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Speaker 5: Trump announces this half trillion dollar project. That's not all

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Speaker 5: tax money. I assume when there's a big space race

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Speaker 5: thing that taxpayers are paying for it.

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Speaker 2: Uh No, it's an investment.

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Speaker 1: It's private joint venture to build advanced data centers in Texas.

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Speaker 1: A Soft Bank ceo, Maseyoshi Son was the third guy there.

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Speaker 5: And Elon just flat out says they can't afford to

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Speaker 5: do what they're claiming they're going to do well.

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Speaker 1: He says, they don't have nearly the financing. They claim, well,

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Speaker 1: you do like they did. They're trying they've been trying

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Speaker 1: to do with the bullet Training California, and it's worked.

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Speaker 1: You get far enough down the road, well we can't

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Speaker 1: stop now.

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Speaker 2: And that's when you bring in all the tax payer money.

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Speaker 1: Or it reminds me of you're trying to get a

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Speaker 1: movie made and you say, well, Dustin Hoffman is attached,

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Speaker 1: he's ready to sign for the lead role. As you

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Speaker 1: try to get you know, somebody else to jump on board.

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Speaker 1: So I just I think it's interesting and undisciplined that

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Speaker 1: Elon would weigh in in that way. Why would you

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Speaker 1: bother I happen to know they don't have nearly enough financing.

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Speaker 5: Way, come on, wait a minute. I think Elon is right.

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Speaker 5: It's there's no way around this though. But I think

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Speaker 5: he was right because at the very beginning of AI,

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Speaker 5: when he was with Altman, right it open, the open

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Speaker 5: whatever it was, and they wanted to be open and

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Speaker 5: not have it be about profit and all that sort

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Speaker 5: of thing, so they could make sure about the ethics

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Speaker 5: and not letting AI get out of control.

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Speaker 2: And ruin the world.

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Speaker 5: Well that quickly Elon quickly left because they decided they

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Speaker 5: wanted to be about profit. Elon started his own thing.

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Speaker 5: Other people started their own thing. Google's invested billions of dollars.

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Speaker 5: Bill Gates has invested billions of dollars in those. It's

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Speaker 5: its own space race within the United States for who's going.

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Speaker 2: To be the best AI out there. And then we're.

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Speaker 5: Repeating against China. But it's a lot like the nuclear

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Speaker 5: weapon or whatever. We want to be the winners. I mean,

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Speaker 5: I think I think a lot of bad stuff is

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Speaker 5: going to come out of AI, but I'd still rather

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Speaker 5: have it be our company's version of bad stuff than

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Speaker 5: China's version.

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Speaker 2: China. All China is going to try to do is

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Speaker 2: take over the world. Yeah, I would say the best

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Speaker 2: case is mutually assured destruction.

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Speaker 5: The best case, let's quote Joe Getty on this today,

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Speaker 5: best case scenario is.

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Speaker 2: Mutually assured destruction. Yeah.

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Speaker 1: I will stand by this statement of fantastic nuclear arms,

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Speaker 1: You're never going to have an exclusive So the best

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Speaker 1: case is, you know, you can wipe them out and

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Speaker 1: they know it and vice versa.

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Speaker 2: So everybody stays cool.

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Speaker 5: Well, and if we ever reach the singularity point or

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Speaker 5: whatever they call it, where AGI happens, where AI is

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Speaker 5: training itself. I don't even know what that means then,

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Speaker 5: because I would think you can't keep the Chinese version

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Speaker 5: in the US version separate, can you won't They start

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Speaker 5: learning from each other, and then then they're taking over

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Speaker 5: the world and as Joe always points out, drainings of

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Speaker 5: our vital juices.

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Speaker 1: Well right, yeah, chaining is to the walls of laboratory

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Speaker 1: slash factories and draining our juices. Yeah, I do want

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Speaker 1: to hear that they are nefarious purposes. Brett Baar did

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Speaker 1: get into some of the possible downsides of the AI

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Speaker 1: revolution with Samton.

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Speaker 2: Let's hear this is good Sam.

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Speaker 6: For the people who are concerned about AI on either

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Speaker 6: the work and job front or just it's scary, what

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Speaker 6: do you say to them that there are rails to

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Speaker 6: make sure that it doesn't go out of bounds.

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Speaker 4: Yeah, there are hundreds of millions of people using these

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Speaker 4: tools today. It'll go to billions. People are using it

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Speaker 4: and really depending on for all sorts of great things

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Speaker 4: in their lives. Like any new technology, we do have

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Speaker 4: to put some rails on it. And you can imagine

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Speaker 4: ways it could go wrong, but if you look at

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Speaker 4: the safety record, but we've been able to ship so far.

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Speaker 4: What I think we'll be able to do in the future.

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Speaker 4: The benefits of this tremendously outweighed downside. We have to

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Speaker 4: be responsible how we do this. We have to build

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Speaker 4: it carefully. But I think people are really good and

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Speaker 4: people will do, on balance, incredible things with this technology.

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Speaker 4: The scale of this investment, obviously is huge, and what

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Speaker 4: I think that says about the likely progress of the

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Speaker 4: technology least what all of us believe is correspondingly huge.

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Speaker 4: But I have enormous faith we'll figure it out.

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Speaker 1: Let's play when the genius is an idiot who can

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Speaker 1: pick out the phrase or lyying.

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Speaker 2: I don't know which I think.

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Speaker 1: I think people are really good and I think it'll

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Speaker 1: turn out.

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Speaker 2: Fine, and the good always excuse me, sorry, the good

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Speaker 2: will outweigh the bad.

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Speaker 5: You see, nuclear power can power an entire city, it's

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Speaker 5: cheap and it's clean. It also can blow up that

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Speaker 5: entire city similar situation. Luckily, so far we have not

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Speaker 5: blown up the world. I think it might be somewhat

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Speaker 5: inevitable that that happens with nuclear weapons, but this is

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Speaker 5: the way AI is okay, great, so it can identify

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Speaker 5: cancer earlier. If it eliminates eighty percent of job and

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Speaker 5: everybody's out of work, I'm not sure that's a win

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Speaker 5: for humanity.

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Speaker 1: Well, and the evildoers unleash computer viruses and hacks and

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Speaker 1: the rest of it through AI that had closed all

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Speaker 1: the hospitals where you'd be getting that advanced cancer treatment.

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Speaker 2: Sam.

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Speaker 1: Of course, there's no stopping It's like the atom I remember,

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Speaker 1: and you've actually read more than I have about this,

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Speaker 1: but in the early days of the atomic programs, there

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Speaker 1: was these raging arguments over whether human kind could handle

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Speaker 1: this if we were quote unquote playing god.

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Speaker 2: The answer is yes, yes we are.

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Speaker 1: And the answer to the question of whether we can

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Speaker 1: handle it is barely well right.

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Speaker 5: And if you've seen the Heimer movie or read the

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Speaker 5: book it was based on, yeah, they were having the

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Speaker 5: very similar discussions, with Oppenheimer's conclusion being we're just talking

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Speaker 5: about with AI, it's gonna happen. There's no stopping it.

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Speaker 5: The ability to do it exists. So do you want

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Speaker 5: the bad guys to do it? Or do you want

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Speaker 5: to be the lead in it? That's the only question.

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Speaker 5: And the people who are unwilling to work on the

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Speaker 5: Manhattan Project because it could be.

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Speaker 2: Used for war are simpletons.

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Speaker 5: And people who are unwilling to, you know, be involved

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Speaker 5: in this because it could be used for bad things.

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Speaker 2: You're a simpleton.

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Speaker 5: China's gonna do it, North Korea is going to do it.

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Speaker 5: Russia's doing it as fast as you can. Would you rather

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Speaker 5: they lead the world in this or US?

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Speaker 2: Right right?

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Speaker 1: It reminds me of that dividing line I keep bringing up.

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Speaker 1: They're roughly two kinds of people. Those who recognize this

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Speaker 1: is heavy and it's ugly and it hurts my heart,

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Speaker 1: but it has to be done and they do it.

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Speaker 1: Are those who say, I don't care what you say.

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Speaker 1: I'm not going to do something ugly. I don't care,

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Speaker 1: and they just can't deal with it like an adult.

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Speaker 1: It's again, there's part of me that I got to

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Speaker 1: reread the Book of Genesis with the tree of the

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Speaker 1: Fruit of Knowledge, I know.

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Speaker 2: Feels like it.

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Speaker 5: There's a Genesis movie coming out. I think they're making

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Speaker 5: a movie or a mini series all about Genesis. I've

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Speaker 5: already made a car in a band. Final thought on this,

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Speaker 5: I don't obsess about AI as much as it probably

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Speaker 5: sounds on the radio show. But I am sort of

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Speaker 5: obsessive about the idea of people who think it's not

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Speaker 5: a big deal. It's a huge freaking deal. There's nothing

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Speaker 5: I can do about it. So that's why I don't

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Speaker 5: obsess about it. But it is a huge freaking deal.

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Speaker 1: Just because there's hype doesn't mean it's not a huge deal.

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Speaker 2: I hope.

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Speaker 5: I One of the reasons I want to stick around,

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Speaker 5: not only for being around for my kids, is.

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Speaker 2: I want to see how this all plays out. I

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Speaker 2: want to live long enough to see how this all

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Speaker 2: plays out, because it's going to.

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Speaker 5: Be incredible, and I don't have to live like maybe

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Speaker 5: another ten years to have a pretty good idea now

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Speaker 5: it's going to turn out.

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Speaker 4: I think people are really good and people will do,

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Speaker 4: on balance, incredible things with this technology.

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Speaker 2: Yeah, it is one of the funniest things I've ever

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Speaker 2: heard in my life. There's Oppenheimer right there.

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Speaker 5: I think, on the whole people are good and we'll

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Speaker 5: do incredibly good things with this technology.

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Speaker 2: Kim Jong un is good, She's in Ping's good.

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Speaker 1: All those people chopping up children with machetes in Africa

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Speaker 1: are good, and they'll do good things.

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Speaker 2: On balance, Wow. I'd like to hear him respond to

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Speaker 2: that more on the way stay here.

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Speaker 5: I almost hate to say it because we've been pretty

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Speaker 5: heavy Elon today, although he is our co president. A

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Speaker 5: quote from Elon Musk about Persevance I thought was pretty good.

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Speaker 5: Coming up, We're going to get to Trump's order around

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Speaker 5: DEI being taken out of our federal government. Fantastic and

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Speaker 5: the specifics are great. So stay tuned.

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Speaker 2: Love it, love it.

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Speaker 1: Can't wait for the NFL playoffs this weekend. The Mighty

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Speaker 1: Philadelphia Eagles still in the thick of it. And we

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Speaker 1: give to you Cherrelle Parker, the mayor of Philadelphia.

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Speaker 2: Hee S Bigos, Let's go Birds. You gotta play that again.

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Speaker 1: He cow g y S.

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Speaker 2: Bigos, e e Berts e l G s e S Eagles.

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Speaker 1: Her bio mentions that she was briefly an English teacher

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Speaker 1: in New Jersey. I wonder why that career ended. Holy Cow,

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Speaker 1: one party politics town.

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Speaker 5: If she got one letter wrong, you know, you're up

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Speaker 5: there on stage and and a microphone and probably trying

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Speaker 5: to do a bunch of things at once in the game.

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Speaker 1: She wasn't even close. She got the ete ow g

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Speaker 1: S S big All right, you explained to me. She

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Speaker 1: again she did get the eriche. Explain to me, how.

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Speaker 2: The hell you go to the st e L G

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Speaker 2: S E S Elgis's she got to be impeached for that.

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Speaker 1: G S.

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Speaker 7: God.

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Speaker 5: If I'm if I'm a radio station in Philadelphia, like

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Speaker 5: I might, I might just, uh, you know how like

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Speaker 5: radio stations go all Christmas music, I might go all

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Speaker 5: that clip for a full day, just playing that over

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Speaker 5: and over, go to commercials, come back play it some more.

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Speaker 5: I love that idea. That is shocking.

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Speaker 2: Yeah, that's pretty good. I'm trying to listen to people

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Speaker 2: in the background. Were they spelling exactly as she was spelling?

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Speaker 2: Or were they trying?

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Speaker 1: They're no, they're spelling it right. Ah. If there's more

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Speaker 1: to that clip, can somebody find a longer version of that?

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Speaker 2: Yeah?

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Speaker 5: Does somebody shut out? He ow g.

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Speaker 1: S?

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Speaker 2: How do you go early?

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Speaker 5: I think you should have gone yes a couple more

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Speaker 5: times there at the end.

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Speaker 1: Elks says Elks, there was nary an a to be

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Speaker 1: found that's spelling either.

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Speaker 5: Oh God, and she was a good school teacher. That's fantastic.

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Speaker 5: I don't get the controversy over the birthright citizenship EO

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Speaker 5: other than the president doesn't get to change the constitution.

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Speaker 5: I get that controversy, but the wanting to do away

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Speaker 5: with it, I don't quite get. What's your argument for it?

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Speaker 5: Keeping birthright citizenship, yes, keeping the Constitution the way it is,

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Speaker 5: what's your argument for it? If you have one text

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Speaker 5: line four one, five, two, nine five KFTC.

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Speaker 1: I'm familiar with a couple of them. We can trot

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Speaker 1: them out in a minute or something to hear that.

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Speaker 1: It absolutely needs to be interpreted because the language in

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Speaker 1: the Constantitution is pretty fuzzy.

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Speaker 5: Right, this is exciting if you're in a federal government

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Speaker 5: and DEI you're done at the close of business today?

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Speaker 2: How about that? Armstrong and getty?

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Speaker 1: And yes, that salute was evocative of things that we have.

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Speaker 2: Seen through history. It was quick.

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Speaker 4: I think our viewers are smart and they can take

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Speaker 4: a look at that.

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Speaker 2: But it certainly was. It's not something that you typically

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Speaker 2: see in American political rallies. I put that one. No, No,

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Speaker 2: it was not something that you usually would see.

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Speaker 8: That was a Nazi salute. And he didn't just do

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Speaker 8: it one time. He did it twice for emphasis. And

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Speaker 8: if you talk to anyone the historians folks actually study

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Speaker 8: the Nazis and study this actual kind of disgusting display,

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Speaker 8: will have been very clear that what that was. And

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Speaker 8: he should not just apologize, he should be condemned for

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Speaker 8: those kinds of actions. So gross, disgusting, But more of

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Speaker 8: what we can expect I think from Elon Musk and Donald.

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Speaker 5: Trump, that is hilarious. Elon Musk's alleged a Nazi salute.

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Speaker 5: And the same crowd that had no problem with college

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Speaker 5: students all around America in favor of beating down or

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Speaker 5: killing Jews, which is pretty Nazi like behavior, wouldn't call

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Speaker 5: them Nazis. But Elon's wave to the crowd clearly a

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Speaker 5: Nazi salute.

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Speaker 1: I've got to admit it's funny. I'm sitting here feeling

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Speaker 1: like a football coach, and I got a playoff game

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Speaker 1: next week the weekend, and I'm getting game film of

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Speaker 1: my opponent. They're like playing slap ass in the huddle,

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Speaker 1: and some of them aren't even wearing spiked shoes and

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Speaker 1: they don't have any pre planned place. If the left

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Speaker 1: media is that dopey and stupid, oh, they're gonna be

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Speaker 1: down for a long time.

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Speaker 2: Yeah, I agree.

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Speaker 5: Good, keep it up, good, luck with that, as they say,

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Speaker 5: good luck in your senior year, as Joe Biden would say.

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Speaker 2: So, Hey, here's on air meeting real quick.

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Speaker 1: We've got the audio of the SNL cold Open Handy,

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Speaker 1: which is kind of on the same topic.

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Speaker 2: Sure we could do that hour four. Yeah, let's do that.

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Speaker 7: Yeah.

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Speaker 2: And if you don't get hour four you gotta go

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Speaker 2: somewhere or what have you. That's fine.

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Speaker 1: Subscribe to the Armstrong and Get You on demand podcast

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Speaker 1: and you can listen to hour four later. It is

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Speaker 1: funny they mock. They brutally mock MSNBC on Saturday Night Live,

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Speaker 1: believe it or not.

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Speaker 5: So The New York Post is reporting today that see

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Speaker 5: the cn boss, CNN bossers two ends, CNN boss.

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Speaker 1: It's like the mayor of Philadelphia over there, Mark, you

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Speaker 1: can't even spell CNN folks.

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Speaker 5: Ah. Mark Thompson, who runs CNN, had told Jake Tapper

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Speaker 5: and Anderson Cooper and one hundred other journalists there not

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Speaker 5: to express outrage during the Trump inauguration, which is a

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Speaker 5: smart idea. Hey, tone it down, don't be angry. Half

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Speaker 5: the country voted for the guy. He's got the highest

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Speaker 5: approval rating he's ever had. Plus it's just not good journalism.

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Speaker 5: So let's just treat this, you know, describe what's happening.

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Speaker 5: That was a good idea, but then you got that

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Speaker 5: later that day Elon Musk with his weird chest thump thing,

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Speaker 5: whyever he did that is not a Nazi salute. It's

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Speaker 5: the only thing I do know treating it like obviously

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Speaker 5: a Nazi salute. So I had a good friend who

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Speaker 5: used to do this whenever I would get anywhere near

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Speaker 5: catastrophizing something, and they would always say, well, let's take

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Speaker 5: that further, like try to come up with an example.

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Speaker 5: I think you're gonna lose your but what if this happens,

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Speaker 5: I don't know. I would lose my job. And what

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Speaker 5: happens if you lose your job, I'd have to get

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Speaker 5: another one, And then what would happen? Then I would

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Speaker 5: have another job and then bubba I mean just I mean,

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Speaker 5: because it takes all the wind out of it sometimes

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Speaker 5: if you just take things step by step like that.

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Speaker 2: I love that.

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Speaker 5: Yeah, it's really good. It really works on a lot

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Speaker 5: of things. And I wish whoever was sitting there with

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Speaker 5: the analyst talking about it being a Nazi salute had

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Speaker 5: done that with that Okay, let's take this further. If

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Speaker 5: it was a Nazi salute, what does that mean? I mean,

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Speaker 5: go further with you. So are you saying he's a

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Speaker 5: member of the Nazi party, he believes in the final

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Speaker 5: solution of ending all.

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Speaker 2: Just do you believe Trump knows that? You believe?

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Speaker 5: Do you believe he did that to signal the Nazis

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Speaker 5: in the arena.

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Speaker 2: That didn't already know that he was.

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Speaker 1: How has he covered up his overt Nazism until now?

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Speaker 1: Did he just slip up by doing that or has

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Speaker 1: he now come out of the closet in europinion right right? Well,

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Speaker 1: of course on MSNBC, for instance, they would say, well,

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Speaker 1: he's just finally he's emboldened by Trump's victory and now

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Speaker 1: he can express his true feelings of Nazism.

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Speaker 2: Okay, that's what I wish someone him.

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Speaker 1: Do.

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Speaker 5: You don't even need to say they're wrong, Just make

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Speaker 5: him spell it out very directly. So you think he

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Speaker 5: now feels as a closet Nazi and they've gone ahead

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Speaker 5: and adopted all of the Nazi like symbols and arm

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Speaker 5: gestures of eighty years ago, that he's willing to do

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Speaker 5: it out loud in front of the big national audience

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Speaker 5: at an arena because he's so comfortable with me and

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Speaker 5: Nazi's that's what you're telling me just happened, because it

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Speaker 5: sounds pretty silly if you lay it out like that.

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Speaker 1: Oh yeah, yeah, it's it's beyoncely A full credit to

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Speaker 1: Dennis and Lincoln California who pointed out he's watching the

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Speaker 1: news and AGB has replaced AOC. Not the buxom half

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Speaker 1: wit progressive ACUTI, but the phrase, Uh, what does AOC

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Speaker 1: stand for?

440
00:22:28,240 --> 00:22:30,000
Speaker 2: Abundance of caution? Oh?

441
00:22:30,320 --> 00:22:34,400
Speaker 1: AGB is the new media phrase. A growing backlash as

442
00:22:34,440 --> 00:22:38,520
Speaker 1: the Elon musk blab blah, A growing backlash as Donald

443
00:22:38,600 --> 00:22:42,760
Speaker 1: Trump declares the Fourteenth Amendment, A growing backlash as Trump

444
00:22:42,800 --> 00:22:45,880
Speaker 1: pardons he's right, absolutely right. Look for that phrase that

445
00:22:45,960 --> 00:22:47,520
Speaker 1: might be. You know what it is, it's the new

446
00:22:47,600 --> 00:22:49,400
Speaker 1: Republicans pounds as.

447
00:22:51,760 --> 00:22:52,679
Speaker 2: Trump backlash.

448
00:22:52,800 --> 00:22:55,080
Speaker 5: Trump ran on a lot of things, including putting an

449
00:22:55,160 --> 00:22:57,840
Speaker 5: end to DEI in the federal government, and yesterday he

450
00:22:57,880 --> 00:23:02,080
Speaker 5: put out his memorandum to do just that. It was

451
00:23:02,240 --> 00:23:05,520
Speaker 5: called the name of it is ending radical and wasteful

452
00:23:05,560 --> 00:23:09,200
Speaker 5: government DEI programs and preferencing Executive Order.

453
00:23:09,320 --> 00:23:12,040
Speaker 2: January twentieth twenty twenty five. He signed this on day one.

454
00:23:12,840 --> 00:23:14,560
Speaker 5: One of the things I like about the way Trump

455
00:23:14,640 --> 00:23:18,879
Speaker 5: operates is he he puts things in like regular people language,

456
00:23:19,200 --> 00:23:21,480
Speaker 5: because a lot of times your governmental stuff you can't understand,

457
00:23:21,480 --> 00:23:25,639
Speaker 5: Like section one, is this the purpose in policy? The

458
00:23:25,680 --> 00:23:30,360
Speaker 5: Biden administration forced illegal and immoral discrimination programs going by

459
00:23:30,400 --> 00:23:34,280
Speaker 5: the name Diversity, Equity and Inclusion DEI, and virtually all

460
00:23:34,320 --> 00:23:37,360
Speaker 5: aspects of the federal government an areas ranging from airline

461
00:23:37,440 --> 00:23:40,560
Speaker 5: safety to the military. This was a concerted effort, semming

462
00:23:40,560 --> 00:23:42,880
Speaker 5: from Biden's first day in office, and he talks about

463
00:23:42,920 --> 00:23:46,640
Speaker 5: Biden's executive order pursuent to my Executive Order one three

464
00:23:46,760 --> 00:23:49,720
Speaker 5: nine eighty five and follow on orders nearly every federal

465
00:23:49,800 --> 00:23:52,720
Speaker 5: agency blah blah blah, blah blah blah. So by five

466
00:23:52,720 --> 00:23:57,440
Speaker 5: point thirty to day close of business today, all DEI

467
00:23:57,680 --> 00:24:00,440
Speaker 5: officers of any kind and all departments they're.

468
00:24:00,280 --> 00:24:04,080
Speaker 2: On paid leave. And that's the end of that, right right,

469
00:24:04,800 --> 00:24:06,320
Speaker 2: Love it. It's important.

470
00:24:06,520 --> 00:24:09,280
Speaker 1: It's going to take a long time to disentangle this

471
00:24:09,359 --> 00:24:13,560
Speaker 1: insidious philosophy from the universities and schools, but at least

472
00:24:13,600 --> 00:24:16,680
Speaker 1: it's been hit with a big face full of roundup

473
00:24:16,720 --> 00:24:20,359
Speaker 1: in the federal government. And again what you have to

474
00:24:20,400 --> 00:24:26,360
Speaker 1: understand is good, well meaning people think DEI is about

475
00:24:26,400 --> 00:24:30,440
Speaker 1: making sure there's no discrimination against people. It's not that

476
00:24:31,520 --> 00:24:37,880
Speaker 1: it's a neo Marxist takeover of institutions. Masquerading is racial understanding.

477
00:24:38,119 --> 00:24:41,120
Speaker 1: They understand that you're a good person who's against racism.

478
00:24:41,320 --> 00:24:45,480
Speaker 1: They're exploiting that with this philosophy. I suggest, for the

479
00:24:45,560 --> 00:24:49,240
Speaker 1: umpteenth time, very strongly you read at least part of

480
00:24:49,359 --> 00:24:54,480
Speaker 1: James Lindsay and Helen Pluckrose's brilliant book Cynical Theories. It's

481
00:24:54,480 --> 00:25:00,200
Speaker 1: about critical theory in all of its incarnations.

482
00:25:00,000 --> 00:25:02,600
Speaker 5: It's down to a language where it talks about the

483
00:25:03,480 --> 00:25:07,440
Speaker 5: way all hiring and promotions will be done. Oh right

484
00:25:07,480 --> 00:25:11,640
Speaker 5: here shall reward individual initiative, skills, performance and hard work,

485
00:25:11,640 --> 00:25:15,440
Speaker 5: and shall not, under any circumstances consider DEI or DEI

486
00:25:15,520 --> 00:25:20,000
Speaker 5: other factors, goals, policies, mandates, the requirements, meritocracy.

487
00:25:20,000 --> 00:25:23,920
Speaker 1: In other words, right, and just the idea that always

488
00:25:24,000 --> 00:25:28,000
Speaker 1: being obsessed with race and constantly lecturing people about race,

489
00:25:28,520 --> 00:25:32,760
Speaker 1: study after study. And it's funny, given my previous argument

490
00:25:33,160 --> 00:25:36,040
Speaker 1: that DEI is not what it claims to be anyway.

491
00:25:36,040 --> 00:25:38,480
Speaker 2: The funny part is what it claims to be.

492
00:25:39,080 --> 00:25:45,199
Speaker 1: It's a miserable failure at It doesn't help black people, It.

493
00:25:44,440 --> 00:25:46,720
Speaker 2: Alienates and angers everybody.

494
00:25:46,960 --> 00:25:50,720
Speaker 1: It makes the workplace less workable and less pleasant. It

495
00:25:50,880 --> 00:25:54,240
Speaker 1: fails by every measure at what it's pretending to be.

496
00:25:55,200 --> 00:25:57,600
Speaker 1: But it isn't that anyway.

497
00:25:59,119 --> 00:26:03,720
Speaker 5: If you if Kamala Harris had been elected, we'd have

498
00:26:03,760 --> 00:26:08,280
Speaker 5: gone way down, further down that road for four more years,

499
00:26:08,560 --> 00:26:10,639
Speaker 5: you know, and maybe eight or twelve, you never know.

500
00:26:10,800 --> 00:26:13,480
Speaker 5: And and it would have been so ingrained and deep

501
00:26:13,600 --> 00:26:15,360
Speaker 5: into the federal government it would have been very hard

502
00:26:15,359 --> 00:26:15,800
Speaker 5: to get out.

503
00:26:16,280 --> 00:26:17,600
Speaker 2: Now we got a shot at getting it out. I

504
00:26:17,640 --> 00:26:19,520
Speaker 2: mean that that's a big difference right there.

505
00:26:20,040 --> 00:26:22,679
Speaker 1: Yeah. I just hope people start to understand what it

506
00:26:22,760 --> 00:26:24,640
Speaker 1: is and what it isn't, because it could come back

507
00:26:24,680 --> 00:26:28,639
Speaker 1: so easily if good, decent but not very aware people

508
00:26:28,680 --> 00:26:31,240
Speaker 1: think it's well, it means not being a racist.

509
00:26:32,200 --> 00:26:34,720
Speaker 5: The left does such a good job of naming things

510
00:26:34,840 --> 00:26:37,480
Speaker 5: in a oh pleasant sounding way, and it works so often.

511
00:26:37,520 --> 00:26:39,400
Speaker 2: I need to start doing that in my own personal life.

512
00:26:40,040 --> 00:26:43,880
Speaker 5: Yeah, Like if you the example for you, like if

513
00:26:43,880 --> 00:26:46,800
Speaker 5: you call you wanted to buy new golf clubs, but

514
00:26:46,880 --> 00:26:49,120
Speaker 5: you present it to your family as the.

515
00:26:50,960 --> 00:26:55,240
Speaker 2: Healthy father who will be here for the future. Act perfect.

516
00:26:56,359 --> 00:26:58,439
Speaker 5: And that's why I'm getting buying new golf clubs with

517
00:26:58,480 --> 00:27:01,159
Speaker 5: family money, is because I'm gonna be a healthy for

518
00:27:01,200 --> 00:27:03,159
Speaker 5: the future and be here for you in your old age.

519
00:27:03,240 --> 00:27:05,639
Speaker 5: Don't you want me to hold your grandchildren? You can

520
00:27:05,720 --> 00:27:08,080
Speaker 5: what's the word outdoor into there as well?

521
00:27:08,160 --> 00:27:10,920
Speaker 1: That would be good. But uh yeah, that's a perfect illustration.

522
00:27:11,000 --> 00:27:12,280
Speaker 1: Does you got to reword everything?

523
00:27:12,840 --> 00:27:13,000
Speaker 7: Oh?

524
00:27:13,040 --> 00:27:15,760
Speaker 1: They are fabulous and they turn equality into equity and

525
00:27:15,800 --> 00:27:19,560
Speaker 1: people think, well, same three first letters. Of course the

526
00:27:19,600 --> 00:27:22,960
Speaker 1: mayor Philadelphia doesn't know that, but uh, it starts the same,

527
00:27:23,040 --> 00:27:25,560
Speaker 1: so it must mean roughly the same. And in the

528
00:27:25,600 --> 00:27:29,680
Speaker 1: same way illegal alien became a legal immigrant, became undocumented immigrant,

529
00:27:29,720 --> 00:27:33,720
Speaker 1: which became whatever, which then is now a migrant work

530
00:27:33,760 --> 00:27:40,000
Speaker 1: for some undocumented worker, unpapered migrant, fairy dust angel dreamers.

531
00:27:40,320 --> 00:27:45,520
Speaker 1: Why do you adopt the left's verbage? Don't stop it

532
00:27:46,040 --> 00:27:49,560
Speaker 1: gender affirming care. You're a sucker if you don't know

533
00:27:49,600 --> 00:27:53,160
Speaker 1: how you're being played through that term. I gave Brettbaar

534
00:27:53,200 --> 00:27:55,000
Speaker 1: the rough side of my tongue on that, and they

535
00:27:55,000 --> 00:27:57,359
Speaker 1: have not used that term again on Special Report.

536
00:27:57,520 --> 00:27:59,240
Speaker 5: Well, I believe I was heard and the best of

537
00:27:59,240 --> 00:28:02,960
Speaker 5: all time. Approach choice not pro bor pro choice. It's

538
00:28:03,000 --> 00:28:04,840
Speaker 5: a joe you what you don't like people making choices?

539
00:28:04,880 --> 00:28:06,439
Speaker 2: What ya got? Awful person? Are you?

540
00:28:06,880 --> 00:28:07,040
Speaker 7: Oh?

541
00:28:07,040 --> 00:28:08,080
Speaker 2: Eit the hypocrisy?

542
00:28:08,359 --> 00:28:08,479
Speaker 7: Uh?

543
00:28:08,800 --> 00:28:10,920
Speaker 5: Quickly before we go to break somebody. A friend of

544
00:28:10,920 --> 00:28:15,200
Speaker 5: mine just texted me this, having arrived at their place

545
00:28:15,240 --> 00:28:19,160
Speaker 5: of employment. Knees week, arms are heavy, ready to leave

546
00:28:19,200 --> 00:28:20,320
Speaker 5: work already or whatever.

547
00:28:20,359 --> 00:28:21,080
Speaker 2: Eminem said.

548
00:28:24,440 --> 00:28:28,320
Speaker 5: It's funny how some days you just don't have it,

549
00:28:29,320 --> 00:28:32,000
Speaker 5: and it's always difficult to nail down. Sometimes it's clear

550
00:28:32,040 --> 00:28:33,800
Speaker 5: like you went to bed to later, drank too much

551
00:28:33,840 --> 00:28:36,359
Speaker 5: or something. But aside from that, some days it's just

552
00:28:36,400 --> 00:28:38,800
Speaker 5: like why am I? Why am I not in the

553
00:28:38,840 --> 00:28:41,440
Speaker 5: groove today? Whether I'm at the gym or works, Like

554
00:28:41,440 --> 00:28:43,120
Speaker 5: what I can't get on my horse today?

555
00:28:43,160 --> 00:28:44,360
Speaker 2: What is the free? No mojo?

556
00:28:44,680 --> 00:28:44,880
Speaker 1: Yeah?

557
00:28:44,880 --> 00:28:45,680
Speaker 2: I got no mojo?

558
00:28:46,560 --> 00:28:49,880
Speaker 1: Yeah, I know, I know, it's just it's it's the

559
00:28:49,960 --> 00:28:50,640
Speaker 1: human condition.

560
00:28:51,600 --> 00:28:52,360
Speaker 2: Yeah.

561
00:28:52,560 --> 00:28:55,160
Speaker 5: And I find as you age, the days without mojo

562
00:28:55,880 --> 00:28:57,000
Speaker 5: seemed to come more often.

563
00:29:00,160 --> 00:29:01,200
Speaker 2: Yeah.

564
00:29:01,320 --> 00:29:06,800
Speaker 1: Yeah, I just I I have a friend who I'll

565
00:29:06,840 --> 00:29:10,800
Speaker 1: remain I'll stay vague on this, but he like, we

566
00:29:11,360 --> 00:29:16,520
Speaker 1: have a job millions want, but only hundreds have, and

567
00:29:17,320 --> 00:29:20,200
Speaker 1: he said, our running joke is we're living proof that

568
00:29:20,240 --> 00:29:22,920
Speaker 1: you can grow to hate your dream job. Not in

569
00:29:23,000 --> 00:29:25,560
Speaker 1: any sustained way. I love what I do, but there

570
00:29:25,600 --> 00:29:31,320
Speaker 1: are days you think, no, seriously, I will do anything

571
00:29:31,400 --> 00:29:33,200
Speaker 1: but talk about the news today.

572
00:29:33,280 --> 00:29:34,760
Speaker 2: But you know, it comes and it goes.

573
00:29:35,080 --> 00:29:35,280
Speaker 7: Yeah.

574
00:29:35,560 --> 00:29:37,600
Speaker 5: I always use that line on my kids for all

575
00:29:37,680 --> 00:29:40,000
Speaker 5: kinds of different stuff. It doesn't matter what it is.

576
00:29:41,880 --> 00:29:43,120
Speaker 5: You know, I want you to clean your room. I

577
00:29:43,120 --> 00:29:44,760
Speaker 5: don't want to clean my room. You know who else

578
00:29:44,800 --> 00:29:47,520
Speaker 5: doesn't want to clean the room? Everybody? I don't feel

579
00:29:47,520 --> 00:29:48,920
Speaker 5: like going to school today. You know who else doesn't

580
00:29:48,920 --> 00:29:51,560
Speaker 5: feel like going to school? Every kid in America or

581
00:29:51,640 --> 00:29:53,960
Speaker 5: just whatever. You know who else doesn't want to go

582
00:29:53,960 --> 00:29:54,520
Speaker 5: to work today?

583
00:29:54,600 --> 00:29:58,960
Speaker 2: Me and everyone else. So there you go. Yeah, welcome

584
00:29:59,040 --> 00:30:01,240
Speaker 2: to the human rights I've got a lot more in

585
00:30:01,240 --> 00:30:06,560
Speaker 2: the way. Stay here. Armstrong Costco workers.

586
00:30:06,240 --> 00:30:11,040
Speaker 1: Have voted to authorize a nationwide strike. Yeah, and response

587
00:30:11,080 --> 00:30:13,840
Speaker 1: Costco has threatened to replace them with Kirkland brand workers.

588
00:30:17,200 --> 00:30:18,400
Speaker 2: That's a pretty good joke.

589
00:30:19,880 --> 00:30:21,280
Speaker 5: Hey, By the way, I know I'm late to the

590
00:30:21,320 --> 00:30:23,840
Speaker 5: party on this and I'm opening myself up for mockery here,

591
00:30:23,920 --> 00:30:26,440
Speaker 5: but that's what I do. And I realize if you

592
00:30:26,480 --> 00:30:28,920
Speaker 5: have an Android phone, this has been around for years,

593
00:30:28,920 --> 00:30:31,960
Speaker 5: you Apple haters, But the iPhone just got the technology

594
00:30:31,960 --> 00:30:35,040
Speaker 5: fairly recently, and I even more recently started using it.

595
00:30:35,160 --> 00:30:37,680
Speaker 5: So I took picture of myself at the Washington Monument

596
00:30:37,840 --> 00:30:41,200
Speaker 5: in Washington, DC, and I really liked the picture, and

597
00:30:41,800 --> 00:30:43,840
Speaker 5: my thirteen year old said, well, why don't you get

598
00:30:43,840 --> 00:30:45,880
Speaker 5: that guy out of there? There's a guy like standing

599
00:30:45,920 --> 00:30:48,960
Speaker 5: behind me. Otherwise it was just me and the monument. Ah,

600
00:30:48,960 --> 00:30:51,000
Speaker 5: And he grabbed my phone and he did it. He

601
00:30:51,080 --> 00:30:53,560
Speaker 5: showed me how to do that, and now I'm obsessed

602
00:30:53,600 --> 00:30:57,960
Speaker 5: with it. The taking a picture and eliminating the garbage

603
00:30:58,000 --> 00:31:01,120
Speaker 5: can behind you or the person you don't want or whatever.

604
00:31:01,360 --> 00:31:02,320
Speaker 2: It's effortless.

605
00:31:02,400 --> 00:31:05,760
Speaker 5: It's amazing. It's like magic. It's just got to show

606
00:31:05,760 --> 00:31:11,320
Speaker 5: me how it's just incredible. On the uh, you know,

607
00:31:11,360 --> 00:31:13,240
Speaker 5: how you adjust the cropping and everything like that.

608
00:31:13,400 --> 00:31:16,840
Speaker 2: There's a little eraser emoji thing there and you tap.

609
00:31:16,640 --> 00:31:18,920
Speaker 5: On that and you just use your finger and you

610
00:31:19,000 --> 00:31:20,760
Speaker 5: just kind of color in what you want to erase,

611
00:31:20,800 --> 00:31:22,960
Speaker 5: and it figures out, oh, you mean that person, and

612
00:31:23,040 --> 00:31:25,240
Speaker 5: it just takes them out and fills in with the.

613
00:31:25,200 --> 00:31:27,920
Speaker 2: Background like magic. It's amazing.

614
00:31:28,680 --> 00:31:31,920
Speaker 1: Rando's in the background. That l advised ex boyfriend that

615
00:31:31,960 --> 00:31:34,000
Speaker 1: your friends wanted you about, but you ignored them.

616
00:31:34,240 --> 00:31:36,720
Speaker 5: Yes, there's lots of people that have pictures like that.

617
00:31:36,840 --> 00:31:39,560
Speaker 5: Oh I love that picture of Yosemite. It's just says

618
00:31:39,640 --> 00:31:40,880
Speaker 5: my ex and he was a jerk.

619
00:31:41,360 --> 00:31:44,000
Speaker 1: You take him out. You still have the picture of

620
00:31:44,000 --> 00:31:48,360
Speaker 1: you usemite. Yeah, uh interesting. I gotta get used to that.

621
00:31:48,400 --> 00:31:49,040
Speaker 1: I gotta do that.

622
00:31:49,080 --> 00:31:51,200
Speaker 5: Feel bad for people who used to do that at

623
00:31:51,320 --> 00:31:53,520
Speaker 5: you know, and get paid great salaries for it, because

624
00:31:53,520 --> 00:31:54,840
Speaker 5: it was a tremendous talent.

625
00:31:56,880 --> 00:31:57,400
Speaker 7: I know.

626
00:31:57,440 --> 00:32:00,000
Speaker 1: I've known people in the arts, like graphic artists, commercial

627
00:32:00,160 --> 00:32:02,960
Speaker 1: artists and stuff like that, and they were smart and

628
00:32:03,000 --> 00:32:06,400
Speaker 1: they got wise to computer art when that became the thing.

629
00:32:06,520 --> 00:32:08,400
Speaker 1: I mean, they put down their pens and markers and

630
00:32:08,480 --> 00:32:10,120
Speaker 1: the rest of it and picked up a mouse and

631
00:32:10,160 --> 00:32:13,240
Speaker 1: they got good at that. And now it's like any

632
00:32:13,520 --> 00:32:17,280
Speaker 1: dips with a keyboard can type in. Give me Donald

633
00:32:17,320 --> 00:32:20,120
Speaker 1: Trump riding a white stallion with an ice cream cone

634
00:32:20,160 --> 00:32:20,800
Speaker 1: in his hand, and.

635
00:32:20,760 --> 00:32:23,400
Speaker 2: There it is. For some reason, yeah, for.

636
00:32:23,240 --> 00:32:26,120
Speaker 1: Some reason, speaking of advertisements and that sort of thing,

637
00:32:27,160 --> 00:32:28,080
Speaker 1: I thought this is crazy.

638
00:32:28,320 --> 00:32:29,120
Speaker 2: It's a report on.

639
00:32:31,080 --> 00:32:34,920
Speaker 1: Advertising in a variety of vice doesn't really matter, But

640
00:32:36,200 --> 00:32:41,280
Speaker 1: four percent of young Americans report that ads infiltrate their dreams.

641
00:32:41,800 --> 00:32:47,040
Speaker 1: Whoa commercial messages find their way into their dream I.

642
00:32:47,040 --> 00:32:48,920
Speaker 2: Don't think that's ever happened to me, or at least

643
00:32:48,960 --> 00:32:51,360
Speaker 2: I'm not aware of it. Yeah, that's obviously what I

644
00:32:51,400 --> 00:32:51,920
Speaker 2: was going to ask.

645
00:32:52,200 --> 00:32:57,040
Speaker 1: I don't recall ever having a dream like like that?

646
00:33:02,280 --> 00:33:04,320
Speaker 5: And why why do young people say it's happening and

647
00:33:04,360 --> 00:33:06,240
Speaker 5: it's not happening to us? Do they spend that much

648
00:33:06,240 --> 00:33:08,360
Speaker 5: more time taking an ad.

649
00:33:08,200 --> 00:33:08,760
Speaker 2: Tho we do?

650
00:33:09,280 --> 00:33:12,880
Speaker 1: They don't go into real depth on that. They were

651
00:33:13,400 --> 00:33:16,440
Speaker 1: polling as well. Over it was like eleven hundred Americans

652
00:33:17,080 --> 00:33:22,920
Speaker 1: age eighteen to thirty five. Twenty two percent of respondents

653
00:33:22,960 --> 00:33:26,080
Speaker 1: experience add like content in their dreams between once a

654
00:33:26,080 --> 00:33:30,120
Speaker 1: week to daily. Other roughly twenty percent report such occurrences

655
00:33:30,160 --> 00:33:34,320
Speaker 1: once a month every couple of months. The phenomenon isn't

656
00:33:34,320 --> 00:33:37,200
Speaker 1: merely passive. The survey reveals that these dream based advertisements

657
00:33:37,240 --> 00:33:40,120
Speaker 1: may be influencing consumer behavior in tangible ways.

658
00:33:40,840 --> 00:33:41,040
Speaker 3: Well.

659
00:33:41,080 --> 00:33:43,520
Speaker 5: Two thirds of yes, so am I having a like

660
00:33:43,520 --> 00:33:45,719
Speaker 5: I'm having a dream where I'm flying? Love those dreams?

661
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Speaker 5: How man have a dream where I'm flying and then

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00:33:47,200 --> 00:33:49,880
Speaker 5: all of a sudden, a dream voice comes in, like

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Speaker 5: flying try Southwest Airlines, go to Southwest Airlines dot com.

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Speaker 2: That sort of thing.

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00:33:56,240 --> 00:34:03,600
Speaker 1: Oh yeah, that's hilarious. No, but they say that advertising

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00:34:04,200 --> 00:34:08,720
Speaker 1: corporations are desperate to figure out how this works so they.

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00:34:08,560 --> 00:34:09,359
Speaker 2: Can do it more.

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Speaker 5: I'm sure we'll get back to this sex dream right

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00:34:11,719 --> 00:34:14,440
Speaker 5: after this message from Nike. Nike has new shoes that

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Speaker 5: could get a girl like this in bed with you.

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Speaker 2: Wow. Yeah, I mean the good luck with that approach.

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Speaker 2: It's hilarious.

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Speaker 1: But can you imagine you're sitting there, you're watching the

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00:34:22,880 --> 00:34:26,600
Speaker 1: NFL playoffs and some weird ad comes on with like

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00:34:26,760 --> 00:34:30,120
Speaker 1: imagery like what the hell was that? And a Honda

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Speaker 1: car and you're like, honey, did you see that ad?

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Speaker 2: That was weird?

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00:34:33,360 --> 00:34:35,839
Speaker 1: And then for the next seven nights you dream about

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Speaker 1: it because they've somehow tapped into the neural codes involved.

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Speaker 2: Katie.

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Speaker 8: Wow, I'm just thinking these aren't dreams, they're nightmares.

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Speaker 5: Yeah, it's in just so advertisers thought, we've got eight

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00:34:47,239 --> 00:34:49,600
Speaker 5: hours we're missing out on out of a twenty four

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Speaker 5: hour day. We need to figure out how to advertise

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Speaker 5: to them in their dreams in their sleep.

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Speaker 1: I used to have dreams, especially as a kid, where

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Speaker 1: some monster, bad person was chasing me and I couldn't

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Speaker 1: outrun them. This dream brought to you by twenty four

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00:35:00,880 --> 00:35:03,760
Speaker 1: Hour Fitness Get on the Treadmill Joe.

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Speaker 5: If you miss an hour, gets the podcast arm Strong

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Speaker 5: and Getty on demand Armstrong and Getty