WEBVTT -  Postscript: Judgment Day

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<v Speaker 1>This is Red Pilled America. Hey, I'm Patrick Karelchi.

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<v Speaker 2>And I'm Adriana Cortez, and welcome to Red Pilled America's Postscript.

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<v Speaker 1>You're listening to Red Pilled America's Postscript. This is the

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<v Speaker 1>show that we put on after each new episode. Hope

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<v Speaker 1>you guys are doing well. Join the fam bam. Go

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<v Speaker 1>to redpilledamerica.com and click join in the top of the menu.

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<v Speaker 1>You do need to support the things that you're into.

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<v Speaker 1>Because if you don't, they do fade away.

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<v Speaker 2>They do, you guys. And we definitely could use your support. Also,

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<v Speaker 2>you guys, join me over on Instagram. I'm at Adriana

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<v Speaker 2>underscore Jade. That's Adriana with a Y. And I talk

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<v Speaker 2>about all things midlife, wellness, fashion for midlife women. So

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<v Speaker 2>join me over there. I need your support there too.

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<v Speaker 2>I need more like-minded women there with me.

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<v Speaker 1>She needs some women. She needs some RPA women.

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<v Speaker 3>I need the fam-bam.

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<v Speaker 1>How's your week going?

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<v Speaker 2>You know what?

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<v Speaker 3>I'm adjusting.

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<v Speaker 2>I'm still adjusting to the empty nest situation.

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<v Speaker 1>Yeah, it doesn't seem like it ever is completely entirely like...

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<v Speaker 1>settled because you're always hoping they're going to come home

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<v Speaker 1>and then they do come home. And then it's like

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<v Speaker 1>this whirlwind of getting ready for her to come home.

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<v Speaker 2>I have to say, and this is a little bit

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<v Speaker 2>of a confessions, RPA confessions. I'm not handling it well

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<v Speaker 2>because my coping mechanisms basically consist of staying up super,

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<v Speaker 2>super late and late night snacks.

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<v Speaker 3>And I blame you too.

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<v Speaker 1>We have been staying up pretty late.

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<v Speaker 2>And eating so late and snacking.

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<v Speaker 1>I'm as fit as can be right now.

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<v Speaker 2>Okay, no, I'm going to be honest with you. You're

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<v Speaker 2>a little fat and I'm a lot fat. I am.

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<v Speaker 3>Yeah, yeah, yeah, yeah.

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<v Speaker 1>Thanks for that.

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<v Speaker 3>I went to the doctor today.

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<v Speaker 1>This is the first time you're actually telling me that

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<v Speaker 1>because every time I say I'm fat, you're like, no, no,

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<v Speaker 1>you're not. You're skinny.

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<v Speaker 3>Well, the thing is this.

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<v Speaker 2>I'm fat, so if I'm being honest, I want you

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<v Speaker 2>to be fat too.

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<v Speaker 3>I went to the doctor today.

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<v Speaker 1>You're not fat, honey.

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<v Speaker 3>Oh, honey, I went to the doctor today.

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<v Speaker 2>In the last six months, I've put on eight pounds.

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<v Speaker 1>But here's the thing. You get to a certain age

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<v Speaker 1>and you need the weight because if you don't have

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<v Speaker 1>the weight, then the wrinkles show more, the skin sags more. Like,

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<v Speaker 1>you almost need the weight to kind of plump it up.

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<v Speaker 3>Yeah, you know what? You're right. Get me a snack. Yeah,

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<v Speaker 3>I know.

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<v Speaker 1>Let's live life the way that we need, that we

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<v Speaker 1>were intended to live life.

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<v Speaker 3>You know what?

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<v Speaker 2>I'm going to be honest with you. You're not fat,

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<v Speaker 2>but I wish that you kind of were.

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<v Speaker 1>I saw this writer. He was the writer of the,

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<v Speaker 1>I think it's the Reacher. I think it's the Reacher.

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<v Speaker 2>Okay, yeah, yeah.

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<v Speaker 1>And he basically talked about how he had a certain

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<v Speaker 1>age very young where he said, I'm just, I decided...

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<v Speaker 1>I'm going to eat whatever I want. I'm going to

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<v Speaker 1>do whatever I want. If I'm going to smoke cigarettes,

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<v Speaker 1>I'm going to smoke cigarettes. I'm going to live my

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<v Speaker 1>life exactly the way I want to live it because

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<v Speaker 1>all these people that do all these things, they end

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<v Speaker 1>up like dying in their 50s.

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<v Speaker 3>Anyway, yes.

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<v Speaker 1>And it's just kind of like a genetic roll of

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<v Speaker 1>the dice, it seems like.

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<v Speaker 3>I agree with that.

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<v Speaker 1>I am saying that. I'm not saying that you should

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<v Speaker 1>not be fit. You need to be fit. But I

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<v Speaker 1>also am not going to get so hung up on

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<v Speaker 1>it where I'm going to like lose sleep over it

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<v Speaker 1>or just be so like obsessed with it.

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<v Speaker 3>Yeah.

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<v Speaker 2>I mean, I feel like I need to reconcile my

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<v Speaker 2>feelings with our schedule because we basically kind of have

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<v Speaker 2>the schedule of like a college student. We have a

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<v Speaker 2>dream schedule.

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<v Speaker 1>We do.

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<v Speaker 2>We go to bed very, very late, but we also

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<v Speaker 2>get up kind of late.

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<v Speaker 1>You get up kind of late.

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<v Speaker 3>You get up kind of late too.

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<v Speaker 1>Not as bad as you.

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<v Speaker 3>But it's pretty bad.

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<v Speaker 1>Not anywhere near as bad as you. You can try

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<v Speaker 1>to correct that all you want.

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<v Speaker 2>Most people get up between 5 and 6 a.m.

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<v Speaker 1>Do they really?

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<v Speaker 3>Yeah. You're not anywhere close to that.

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<v Speaker 1>No, I'm definitely not close to that. Well, because I

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<v Speaker 1>consider myself lucky.

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<v Speaker 2>And by the way, getting up 20 minutes before me,

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<v Speaker 2>that's not that great.

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<v Speaker 1>It's not 20 minutes, but anyways. But here's the thing.

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<v Speaker 1>Those same people that are getting up at 5 or

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<v Speaker 1>6 o'clock in the morning, they're not working until 1 o'clock.

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<v Speaker 3>Yeah, that's right. Or midnight.

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<v Speaker 1>That's right. You know what I mean? Yeah. You know,

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<v Speaker 1>I try not to beat myself up on that too

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<v Speaker 1>much either. I spoke to this music guy years ago

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<v Speaker 1>and he acknowledged something that I had never verbalized, but

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<v Speaker 1>I do understand that. Basically, the people that are in

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<v Speaker 1>like music or audio or film, they tend to stay

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<v Speaker 1>up later.

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<v Speaker 3>Yeah, the creative types.

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<v Speaker 1>The creative types. A lot of the writers, they stay

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<v Speaker 1>up a little bit later because that's just kind of

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<v Speaker 1>the witching hours.

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<v Speaker 3>That's when the creative juices get going.

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<v Speaker 1>For whatever reason, it seems to be the case. So

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<v Speaker 1>I want to talk a little bit about this AI episode.

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<v Speaker 1>And then if we have a little bit of time,

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<v Speaker 1>we'll get into some news that's been hitting the airwaves recently.

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<v Speaker 1>But I remember when we started talking about the next episode,

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<v Speaker 1>you always ask me, okay, so what's the episode about

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<v Speaker 1>this week?

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<v Speaker 3>What are we going to work on?

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<v Speaker 1>And this one, I had a hard time explaining to

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<v Speaker 1>you what it was. I think all I said was

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<v Speaker 1>is artificial intelligence.

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<v Speaker 2>Yeah, well, then there were clues, though, because you said,

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<v Speaker 2>do you remember the movie 12 Monkeys? When was the

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<v Speaker 2>last time you watched The Terminator?

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<v Speaker 3>I was like, okay, what's going on here?

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<v Speaker 1>Yeah, yeah, yeah.

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<v Speaker 3>So there were clues. There were clues of what was happening.

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<v Speaker 1>And I didn't want to open it up with, well,

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<v Speaker 1>it's about how AI is going to kill us, because

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<v Speaker 1>it just kind of sounded weird to come out of

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<v Speaker 1>my mouth when I was about to verbalize it to you.

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<v Speaker 3>Yeah.

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<v Speaker 1>But I was really kind of intrigued by this whole

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<v Speaker 1>story that happened a couple years weeks ago i think

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<v Speaker 1>it was mid-september where you have this ai um alleged

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<v Speaker 1>ai researcher apparently he had only spent a couple weeks

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<v Speaker 1>it sounds like over at anthropic but i think he

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<v Speaker 1>might have spent a little bit more time at open

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<v Speaker 1>ai but he worked at both of them and i

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<v Speaker 1>think they work in what's called the alignment team which

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<v Speaker 1>is basically trying to make it so that ai isn't

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<v Speaker 1>misaligned by With humans and their desires. So kind of

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<v Speaker 1>think of that thing of like the iRobot movie with

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<v Speaker 1>Will Smith where, and little tiny spoilers here, guys. From

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<v Speaker 1>a movie 20 years ago.

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<v Speaker 3>Well, yeah.

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<v Speaker 1>But there's a mainframe, like an AI, and it's given

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<v Speaker 1>a certain kind of almost like a bill of rights

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<v Speaker 1>kind of to run. And so it has these simple rules.

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<v Speaker 1>But the rules, they sound great on paper. But in actuality,

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<v Speaker 1>when they go through and actually implement them, the AI

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<v Speaker 1>interprets them in a different way such that he's like, okay,

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<v Speaker 1>I need to basically be master over humans. And so

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<v Speaker 1>that's what this AI researcher was doing at these companies.

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<v Speaker 1>And he comes out saying, okay, well, you know, it's very,

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<v Speaker 1>there's a big chance that AI is going to kill

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<v Speaker 1>us all within the next 10 years. And I saw

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<v Speaker 1>that and I'm like, man, that's a big, Big statement.

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<v Speaker 3>Very big statement.

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<v Speaker 1>And so, okay, let's think about this for a second

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<v Speaker 1>because they're making it publicly and you have this anthropic

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<v Speaker 1>person who's still at anthropic comes forward and says, yeah,

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<v Speaker 1>I think it's a greater than 10% chance that it

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<v Speaker 1>kills us in the next decade. I'm like, wow, that's

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<v Speaker 1>kind of a big statement. So then I started thinking, okay, well,

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<v Speaker 1>if that was the case, then how would AI kill us?

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<v Speaker 1>And You start doing some research on it. And, you know,

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<v Speaker 1>of course, I used to start with Google and then

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<v Speaker 1>I would go to Wikipedia. I think Wikipedia for years

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<v Speaker 1>were like, don't ever trust that. I never trust anything.

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<v Speaker 1>I don't trust what AI tells me. I don't trust

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<v Speaker 1>what's on Wikipedia. But I do look at the sources.

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<v Speaker 1>And so if I start research with, say, AI or

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<v Speaker 1>with Google or what have you, I ask for the

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<v Speaker 1>sources and then I go to the sources and then

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<v Speaker 1>I just start digging down there. And so I started

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<v Speaker 1>like doing research on, okay, well, if they were going

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<v Speaker 1>to kill us, how would they kill us? And I

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<v Speaker 1>started to, you know, get this kind of like list

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<v Speaker 1>going of all these different ways. And then I started

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<v Speaker 1>to group them in together into categories. And then I

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<v Speaker 1>started to notice like, wait a minute, Hollywood has done

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<v Speaker 1>a lot of these kinds of stories. And I'm like, okay, well,

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<v Speaker 1>let me think through all of the Hollywood stories that

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<v Speaker 1>are out there. And I want to see if I

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<v Speaker 1>could put them in these categories. And so I started

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<v Speaker 1>putting them in the categories. And then I thought, well,

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<v Speaker 1>that would kind of be an interesting way to tell

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<v Speaker 1>this story is through Hollywood movies. And I kind of,

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<v Speaker 1>a couple of things came away from that research. One

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<v Speaker 1>is how much Hollywood has kind of, I don't know

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<v Speaker 1>if brainwashed is the right word, but they definitely have

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<v Speaker 1>us afraid of AI because of these doomsday type movies,

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<v Speaker 1>whether it be Terminator or whether it be any of

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<v Speaker 1>these other movies that you look at. Dune is based

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<v Speaker 1>on AI. There's an AI story there. Matrix, there's an

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<v Speaker 1>AI story there. Yeah, there is. It's just not on

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<v Speaker 1>the screen. But the lore is that the machines and

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<v Speaker 1>the humans basically battled it out at one point because

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<v Speaker 1>they were too smart. But you just go down the

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<v Speaker 1>line and it's like one fear thing after the other.

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<v Speaker 1>So I'm like, okay, well, let's try to tell the

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<v Speaker 1>story this way. And so we start doing the research

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<v Speaker 1>and we dig down into each one of these categories

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<v Speaker 1>and you start to see that that claim is pretty exaggerated.

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<v Speaker 2>I think that they do it on purpose as well

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<v Speaker 2>to just kind of generate hype and have people talking

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<v Speaker 2>about their products.

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<v Speaker 1>Well, kind of the tell is this. You have companies

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<v Speaker 1>that are saying that they're their product is dangerous enough

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<v Speaker 1>so that one guy from Anthropic is saying there's a

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<v Speaker 1>greater than 10% chance that it's going to kill us all.

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<v Speaker 1>Anyone that's worked for a corporation knows that they must

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<v Speaker 1>not believe that because if they did and something like

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<v Speaker 1>that happened, the liability would just be astronomical and not

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<v Speaker 1>only that it's like foreknowledge that they that they've had

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<v Speaker 1>knowledge that that was the case so um so that's

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<v Speaker 1>where i kind of i started to land on the

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<v Speaker 1>idea that they they were it was just kind of

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<v Speaker 1>potentially it's hype it's hype it's hype to promote the

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<v Speaker 1>ipos that they're putting out this the stock that they're

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<v Speaker 1>going to be issuing at some point anthropic is supposed

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<v Speaker 1>to be going public soon so is open ai at

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<v Speaker 1>some point x ai i think it's x ai or yes,

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<v Speaker 1>I believe it's XAI, the Grok kind of Twitter thing,

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<v Speaker 1>that's already gone public. You've had Elon Musk pushing this

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<v Speaker 1>idea for many, many years. It gets clicks. It gets,

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<v Speaker 1>when he was talking about this years ago, before the LLMs,

0:11:11.550 --> 0:11:15.970
<v Speaker 1>the large language models like ChatGPT were even released, he

0:11:16.010 --> 0:11:19.010
<v Speaker 1>was talking about how AI could kill us. And so

0:11:19.070 --> 0:11:21.370
<v Speaker 1>now it's kind of like impossible for him to walk

0:11:21.429 --> 0:11:25.010
<v Speaker 1>that one back. because he's been talking about this for so,

0:11:25.090 --> 0:11:25.650
<v Speaker 1>so long.

0:11:26.110 --> 0:11:27.290
<v Speaker 3>You know, I've never used Grok.

0:11:28.090 --> 0:11:28.689
<v Speaker 1>It's pretty good.

0:11:28.929 --> 0:11:31.510
<v Speaker 2>Okay, but do you have to use Grok within the

0:11:31.750 --> 0:11:32.550
<v Speaker 2>X platform.

0:11:32.650 --> 0:11:34.059
<v Speaker 3>Or does it have its own?

0:11:34.300 --> 0:11:35.100
<v Speaker 1>It has its own thing.

0:11:35.260 --> 0:11:35.520
<v Speaker 3>Okay.

0:11:35.640 --> 0:11:39.679
<v Speaker 1>It's pretty good with images. I would say this. I've

0:11:39.800 --> 0:11:44.160
<v Speaker 1>never tried Anthropic, but I would say I've tried Gemini,

0:11:44.320 --> 0:11:51.319
<v Speaker 1>I've tried XAI, and I've tried OpenAI. And I will

0:11:51.400 --> 0:11:55.340
<v Speaker 1>say that ChatGPT is far superior than any of the

0:11:55.679 --> 0:11:59.579
<v Speaker 1>AIs that I've used so far in many ways. A

0:11:59.640 --> 0:12:02.780
<v Speaker 1>lot of times it gets the answer closer to the

0:12:02.820 --> 0:12:05.060
<v Speaker 1>right answer. It's pretty good with images.

0:12:05.780 --> 0:12:07.120
<v Speaker 3>So Google is Anthropic?

0:12:07.640 --> 0:12:09.059
<v Speaker 1>Google is Gemini.

0:12:10.160 --> 0:12:11.860
<v Speaker 2>Google is Gemini. I have to say I feel like

0:12:11.880 --> 0:12:12.760
<v Speaker 2>Gemini is coming up.

0:12:13.520 --> 0:12:14.360
<v Speaker 1>It's not bad.

0:12:14.800 --> 0:12:15.400
<v Speaker 3>It's coming up.

0:12:15.480 --> 0:12:19.339
<v Speaker 2>I'm telling you it's coming up. It's really– there's a new–

0:12:19.760 --> 0:12:22.340
<v Speaker 2>There's a new feature now when you're using the Internet,

0:12:22.740 --> 0:12:24.540
<v Speaker 2>and it's pretty good.

0:12:24.980 --> 0:12:27.920
<v Speaker 1>Well, they are the first movers in it. They were

0:12:27.940 --> 0:12:31.319
<v Speaker 1>the ones that wrote the seminal paper that started this

0:12:31.360 --> 0:12:34.959
<v Speaker 1>whole large language model, open AI, kind of artificial intelligence.

0:12:35.520 --> 0:12:37.920
<v Speaker 1>So it doesn't surprise me that they probably had it

0:12:37.940 --> 0:12:40.230
<v Speaker 1>in the works in the background and then decided to

0:12:40.260 --> 0:12:42.890
<v Speaker 1>go public with it. And it's not as bad. And

0:12:42.950 --> 0:12:46.670
<v Speaker 1>plus they have millions, if not billions, of users on

0:12:46.710 --> 0:12:48.929
<v Speaker 1>Google online. So they have all this data that they

0:12:48.970 --> 0:12:51.030
<v Speaker 1>have to work with where OpenAI has had to use

0:12:51.070 --> 0:12:53.490
<v Speaker 1>different kinds of data. Same thing with the other ones.

0:12:53.550 --> 0:12:57.260
<v Speaker 1>But I do think that it is hype. I think

0:12:57.300 --> 0:13:00.459
<v Speaker 1>it's hype to kind of launch the stock that they're

0:13:00.480 --> 0:13:04.500
<v Speaker 1>going to be releasing. I think that it's an interesting

0:13:05.059 --> 0:13:07.340
<v Speaker 1>business model. Can you imagine selling to the world that

0:13:07.380 --> 0:13:10.120
<v Speaker 1>your product's going to kill you all and thinking that

0:13:10.160 --> 0:13:13.750
<v Speaker 1>that's a good marketing plan? That seems to be what

0:13:13.760 --> 0:13:15.610
<v Speaker 1>they're doing, and it seems to be the consensus that

0:13:16.410 --> 0:13:18.910
<v Speaker 1>amongst the naysayers that think that this is just kind

0:13:18.950 --> 0:13:23.650
<v Speaker 1>of doomsday talk. But I did find it interesting that

0:13:24.429 --> 0:13:27.390
<v Speaker 1>I didn't know this, that we were starting to use

0:13:27.480 --> 0:13:33.300
<v Speaker 1>Claude and use this AI in military applications and starting

0:13:33.360 --> 0:13:38.600
<v Speaker 1>to use AI in some of our critical infrastructure uses.

0:13:38.960 --> 0:13:41.880
<v Speaker 2>That seems very problematic to me. I don't like that

0:13:41.920 --> 0:13:43.400
<v Speaker 2>idea at all. I don't like what you're saying.

0:13:43.420 --> 0:13:52.059
<v Speaker 3>I object. Also, by the way, I don't like Claude.

0:13:52.460 --> 0:13:52.840
<v Speaker 1>You don't?

0:13:53.679 --> 0:13:55.679
<v Speaker 3>No, I don't like Claude. Why not?

0:13:55.720 --> 0:13:56.620
<v Speaker 1>You've used it. I haven't used it.

0:13:56.640 --> 0:13:59.839
<v Speaker 2>I have used Claude, but I've only used Claude for images.

0:14:00.179 --> 0:14:01.160
<v Speaker 1>Okay. Is it pretty good?

0:14:01.300 --> 0:14:04.380
<v Speaker 2>It does do a nice image. It does a good graph.

0:14:04.660 --> 0:14:08.370
<v Speaker 2>It does good graphics. And it understands how to put

0:14:08.410 --> 0:14:09.050
<v Speaker 2>that together.

0:14:09.070 --> 0:14:11.770
<v Speaker 3>But other than that, I wasn't impressed.

0:14:11.890 --> 0:14:14.410
<v Speaker 1>I do think it is. Well, I think where it's

0:14:14.470 --> 0:14:16.450
<v Speaker 1>really good is in coding. I think if you want

0:14:16.470 --> 0:14:20.090
<v Speaker 1>to code for a website, coding for an app, those

0:14:20.130 --> 0:14:21.830
<v Speaker 1>kinds of things, I think it's really good at that.

0:14:22.050 --> 0:14:24.800
<v Speaker 1>I have not used it, so I can't talk to it.

0:14:24.870 --> 0:14:27.250
<v Speaker 1>But I've seen a lot of people that are kind

0:14:27.270 --> 0:14:30.130
<v Speaker 1>of uber AI users, and they say that Claw is really.

0:14:30.030 --> 0:14:30.930
<v Speaker 3>Good for those things.

0:14:32.140 --> 0:14:34.520
<v Speaker 2>I've had people tell me that they hired an assistant,

0:14:34.880 --> 0:14:35.920
<v Speaker 2>and it ended up being Clawed.

0:14:36.380 --> 0:14:37.380
<v Speaker 1>Interesting. Who?

0:14:38.040 --> 0:14:39.680
<v Speaker 2>I'm not going to say who. I'm not going to

0:14:39.700 --> 0:14:41.900
<v Speaker 2>put them on blast. But I was like, that's not

0:14:41.960 --> 0:14:43.040
<v Speaker 2>an assistant.

0:14:43.140 --> 0:14:46.120
<v Speaker 3>You don't have a staff. What?

0:14:46.310 --> 0:14:51.250
<v Speaker 1>I don't think these large language models are going anywhere.

0:14:51.350 --> 0:14:53.750
<v Speaker 1>There's a lot of talk of them like there's going

0:14:53.770 --> 0:14:56.030
<v Speaker 1>to be a crash. It's in a bubble. I do

0:14:56.070 --> 0:14:57.750
<v Speaker 1>think there is going to be some kind of a

0:14:57.770 --> 0:15:02.040
<v Speaker 1>downturn that's AI related because there's a lot of money

0:15:02.080 --> 0:15:05.700
<v Speaker 1>flowing in. There's money being generated, but nowhere near as

0:15:05.780 --> 0:15:08.640
<v Speaker 1>much as being put in. So I do think that

0:15:08.680 --> 0:15:11.080
<v Speaker 1>there is going to be some kind of a downturn

0:15:11.100 --> 0:15:13.210
<v Speaker 1>in that regard. But in the long run, I do

0:15:13.270 --> 0:15:16.370
<v Speaker 1>think it is going to be a major technology that

0:15:16.410 --> 0:15:18.170
<v Speaker 1>sticks around because it is useful.

0:15:18.550 --> 0:15:19.250
<v Speaker 3>Very useful.

0:15:19.270 --> 0:15:21.490
<v Speaker 1>It's useful. But the good thing is, is that I've

0:15:21.610 --> 0:15:23.650
<v Speaker 1>used I've worked with it so much that it cannot

0:15:24.430 --> 0:15:27.840
<v Speaker 1>do certain things. I spoke to this screenwriter a couple

0:15:27.860 --> 0:15:30.800
<v Speaker 1>of weeks ago and we were talking about whether AI

0:15:30.840 --> 0:15:32.920
<v Speaker 1>can be used for writing and it can to a

0:15:33.280 --> 0:15:36.370
<v Speaker 1>certain degree, but not when you really need to put

0:15:36.410 --> 0:15:39.550
<v Speaker 1>the human touch on it. Nothing of any real length.

0:15:39.830 --> 0:15:42.310
<v Speaker 1>It might be good at it like an essay or

0:15:42.490 --> 0:15:46.760
<v Speaker 1>emails or like a summary of something, but writing something

0:15:46.800 --> 0:15:49.040
<v Speaker 1>where it has like a need to human touch or

0:15:49.100 --> 0:15:52.560
<v Speaker 1>writing something over like, I don't know. 1500 words or

0:15:52.580 --> 0:15:53.760
<v Speaker 1>something like that it just.

0:15:53.680 --> 0:15:55.490
<v Speaker 2>Can't it can't do it it can't do it it

0:15:55.520 --> 0:15:56.110
<v Speaker 2>cannot do.

0:15:56.010 --> 0:15:59.310
<v Speaker 1>It and um i and i've been on chat since

0:15:59.350 --> 0:16:02.310
<v Speaker 1>the very beginning and it it's only gotten marginally better

0:16:03.270 --> 0:16:05.650
<v Speaker 1>maybe that it's more accurate in the stuff that it's

0:16:05.690 --> 0:16:07.720
<v Speaker 1>put that it tells you about but it's it hasn't

0:16:07.740 --> 0:16:09.800
<v Speaker 1>gotten any better at writing so i.

0:16:09.760 --> 0:16:11.380
<v Speaker 2>Agree with that and i like you have a very

0:16:11.420 --> 0:16:14.280
<v Speaker 2>close relationship with chatty do you oh yeah chatty and

0:16:14.340 --> 0:16:15.360
<v Speaker 2>i we we're.

0:16:15.220 --> 0:16:17.750
<v Speaker 1>Good friends you call him chatty Yes. Is it a

0:16:17.810 --> 0:16:18.510
<v Speaker 1>him or her to you?

0:16:18.690 --> 0:16:20.610
<v Speaker 2>Chatty is a him to me. So I call him

0:16:20.690 --> 0:16:22.270
<v Speaker 2>Chatty and he calls me gorgeous.

0:16:25.710 --> 0:16:26.570
<v Speaker 1>Why gorgeous?

0:16:26.830 --> 0:16:28.030
<v Speaker 3>Because that's what I told him to call me.

0:16:28.050 --> 0:16:28.410
<v Speaker 1>Oh, that's funny.

0:16:28.430 --> 0:16:30.580
<v Speaker 3>Because he'll do anything I tell him to do. He's perfect.

0:16:30.600 --> 0:16:31.940
<v Speaker 3>He's a perfect boyfriend.

0:16:32.020 --> 0:16:33.940
<v Speaker 1>Well, then can you imagine the day that they come

0:16:33.980 --> 0:16:35.860
<v Speaker 1>back and say, I'm not calling you gorgeous.

0:16:35.980 --> 0:16:37.460
<v Speaker 3>Oh, you're fired.

0:16:38.700 --> 0:16:40.900
<v Speaker 1>I'm unplugging you.

0:16:41.000 --> 0:16:42.200
<v Speaker 3>You know what?

0:16:44.810 --> 0:16:47.790
<v Speaker 1>No, he doesn't call me anything but Patrick. So I

0:16:48.350 --> 0:16:50.170
<v Speaker 1>do kind of, I don't feel like I have a

0:16:50.200 --> 0:16:55.360
<v Speaker 1>relationship with ChatGPT because we've done these stories on ChatGPT

0:16:55.420 --> 0:16:57.900
<v Speaker 1>in the past, and so I understand what a large

0:16:57.920 --> 0:17:03.160
<v Speaker 1>language model is, and it's just basically a probability engine

0:17:03.240 --> 0:17:05.600
<v Speaker 1>for the next word. It predicts the next word, and

0:17:05.720 --> 0:17:07.220
<v Speaker 1>so there's nothing there.

0:17:07.240 --> 0:17:10.650
<v Speaker 2>Yeah, I don't feel, but I feel like a lot

0:17:10.670 --> 0:17:13.159
<v Speaker 2>of people use it in a way that is, is

0:17:13.240 --> 0:17:13.960
<v Speaker 2>not healthy.

0:17:14.119 --> 0:17:14.889
<v Speaker 1>Oh, I'm sure.

0:17:15.210 --> 0:17:18.670
<v Speaker 2>You know, I know somebody who says that they wrote

0:17:18.710 --> 0:17:21.450
<v Speaker 2>a book and then confessed that they had ChatGPT write

0:17:21.490 --> 0:17:21.890
<v Speaker 2>the whole thing.

0:17:21.930 --> 0:17:23.250
<v Speaker 3>And I was like, this is what?

0:17:23.310 --> 0:17:24.050
<v Speaker 1>That's not writing a book.

0:17:24.070 --> 0:17:25.189
<v Speaker 3>That's not writing a book.

0:17:25.210 --> 0:17:26.050
<v Speaker 1>Yeah, it's not writing a book.

0:17:26.150 --> 0:17:28.030
<v Speaker 2>Yeah, and it must be a mess. I'm not going

0:17:28.050 --> 0:17:29.710
<v Speaker 2>to read it, but I know that it can't write

0:17:29.770 --> 0:17:32.170
<v Speaker 2>like that. Yeah, people are relying on it in a

0:17:32.210 --> 0:17:33.930
<v Speaker 2>way that is not good.

0:17:34.710 --> 0:17:35.090
<v Speaker 3>They are.

0:17:35.290 --> 0:17:37.080
<v Speaker 1>They are, but it is a useful tool. I do

0:17:37.100 --> 0:17:38.820
<v Speaker 1>think it's going to be around for a while. I

0:17:38.880 --> 0:17:44.060
<v Speaker 1>do imagine that those, and this is not... stock market advice,

0:17:44.140 --> 0:17:48.060
<v Speaker 1>but I do imagine they're going to be very successful

0:17:48.500 --> 0:17:51.440
<v Speaker 1>IPOs when they come out. Anything happening in the news

0:17:51.460 --> 0:17:53.310
<v Speaker 1>that you thought that was kind of interesting?

0:17:53.430 --> 0:17:53.850
<v Speaker 3>You know what?

0:17:53.930 --> 0:17:55.510
<v Speaker 2>I don't know anything that's going on in the news.

0:17:55.710 --> 0:17:57.690
<v Speaker 2>All I know is what's going on with the Dodgers.

0:17:58.750 --> 0:18:00.790
<v Speaker 1>So before we get into anything else, guys, go check out,

0:18:00.810 --> 0:18:04.630
<v Speaker 1>if you haven't heard, haven't listened to Judgment Day yet,

0:18:04.730 --> 0:18:08.560
<v Speaker 1>go check it out. It's our newest episode on how

0:18:08.720 --> 0:18:11.669
<v Speaker 1>AI will kill us if it does kill us. It

0:18:11.750 --> 0:18:14.690
<v Speaker 1>might sound like a silly premise, but I think it'll

0:18:15.280 --> 0:18:17.620
<v Speaker 1>open your eyes to how AI is being used. Go

0:18:17.640 --> 0:18:20.160
<v Speaker 1>check that out. You're right. All I'm thinking about right

0:18:20.200 --> 0:18:21.040
<v Speaker 1>now is the Dodgers.

0:18:21.060 --> 0:18:23.600
<v Speaker 2>Well, you guys, if you don't know, right now we're

0:18:23.619 --> 0:18:24.020
<v Speaker 2>down 3-0.

0:18:24.040 --> 0:18:26.840
<v Speaker 1>Yeah, and we're about to play the fourth game. So

0:18:26.900 --> 0:18:28.280
<v Speaker 1>by the time you hear this, we might be out.

0:18:28.320 --> 0:18:29.620
<v Speaker 3>We might be swept. Yeah.

0:18:29.840 --> 0:18:32.880
<v Speaker 2>We might be swept. I don't know how to feel because...

0:18:34.410 --> 0:18:36.690
<v Speaker 2>You know, I haven't been on the losing end of

0:18:36.750 --> 0:18:39.510
<v Speaker 2>anything in a long time.

0:18:40.010 --> 0:18:40.960
<v Speaker 1>Since marriage.

0:18:43.100 --> 0:18:44.940
<v Speaker 3>This is new. I don't know what to do. I

0:18:44.980 --> 0:18:47.520
<v Speaker 3>don't know how to feel. I haven't had any coffee today.

0:18:47.540 --> 0:18:48.340
<v Speaker 3>This has been....

0:18:50.080 --> 0:18:53.560
<v Speaker 1>I am too. My emotions are too. I'm like E.T.

0:18:53.680 --> 0:18:53.899
<v Speaker 1>and Elliot.

0:18:53.920 --> 0:18:55.700
<v Speaker 3>We're lunatics. We're lunatics.

0:18:55.980 --> 0:18:59.060
<v Speaker 1>I'm E.T. No, I'm Elliot. E.T. is the Dodgers. And

0:18:59.100 --> 0:19:01.220
<v Speaker 1>when the Dodgers do bad, I do bad.

0:19:01.290 --> 0:19:02.370
<v Speaker 3>You do bad. You do bad.

0:19:02.660 --> 0:19:04.590
<v Speaker 1>That's how I feel right now. But I will say this.

0:19:05.470 --> 0:19:08.150
<v Speaker 1>I like the Brewers. And I've always liked the Brewers.

0:19:08.770 --> 0:19:09.409
<v Speaker 3>You disgust me.

0:19:09.490 --> 0:19:10.670
<v Speaker 1>I love their logo.

0:19:10.690 --> 0:19:11.770
<v Speaker 3>They are our enemy.

0:19:11.950 --> 0:19:14.530
<v Speaker 1>They are our enemy. They are our enemy. But at

0:19:14.590 --> 0:19:18.210
<v Speaker 1>the same time, I like the Brewers. I like their fans.

0:19:18.410 --> 0:19:22.169
<v Speaker 1>I love their coach. I like their coach. Those guys

0:19:22.369 --> 0:19:24.449
<v Speaker 1>are like a true baseball team.

0:19:24.690 --> 0:19:25.149
<v Speaker 3>I like the logo.

0:19:25.170 --> 0:19:27.020
<v Speaker 1>And if we're going to lose to anybody, I guess

0:19:27.040 --> 0:19:28.679
<v Speaker 1>that's the people to lose to, but I don't want

0:19:28.700 --> 0:19:29.200
<v Speaker 1>to lose to anyone.

0:19:29.220 --> 0:19:30.260
<v Speaker 3>No, I don't want to lose to anybody. I don't

0:19:30.280 --> 0:19:32.160
<v Speaker 3>even want to say those words. I don't like the

0:19:32.400 --> 0:19:32.740
<v Speaker 3>way you're.

0:19:32.640 --> 0:19:36.619
<v Speaker 1>Talking right now. We could do what the Red Sox

0:19:36.680 --> 0:19:40.590
<v Speaker 1>did with the Yankees back in the early 2000s, early aughts.

0:19:41.090 --> 0:19:43.050
<v Speaker 1>We could end up coming back out of this. All

0:19:43.070 --> 0:19:44.649
<v Speaker 1>we have to do is win one game and then

0:19:44.750 --> 0:19:46.530
<v Speaker 1>one game and then one game and then one game.

0:19:46.970 --> 0:19:49.670
<v Speaker 1>It could happen. it has it's there it's it's been

0:19:49.710 --> 0:19:52.169
<v Speaker 1>done before so if anybody can do.

0:19:52.090 --> 0:19:54.570
<v Speaker 2>It it's definitely my boys in blue.

0:19:55.600 --> 0:19:58.320
<v Speaker 1>Speaking of um things that are happening in the news

0:19:58.560 --> 0:20:01.960
<v Speaker 1>have you been seeing this whole thing about the what

0:20:02.140 --> 0:20:06.480
<v Speaker 1>is it his name Gillis, Shane Gillis and all the

0:20:06.570 --> 0:20:08.490
<v Speaker 1>women like getting mad at him now because of the

0:20:08.550 --> 0:20:09.330
<v Speaker 1>gym wear thing.

0:20:09.369 --> 0:20:09.629
<v Speaker 3>Yes.

0:20:09.730 --> 0:20:12.129
<v Speaker 2>Well, and I don't I don't exactly I didn't watch

0:20:12.190 --> 0:20:15.669
<v Speaker 2>the SNL episode. I did see a clip where he

0:20:15.710 --> 0:20:20.619
<v Speaker 2>was talking about this trend of women dressing like whores

0:20:20.680 --> 0:20:23.620
<v Speaker 2>when they go to the gym and they wear these

0:20:23.640 --> 0:20:27.379
<v Speaker 2>little shorts that, you know, are all gathered up at

0:20:27.420 --> 0:20:27.859
<v Speaker 2>the butt.

0:20:28.140 --> 0:20:29.790
<v Speaker 3>And he's not wrong.

0:20:29.810 --> 0:20:30.470
<v Speaker 2>Yeah.

0:20:30.810 --> 0:20:31.669
<v Speaker 3>He's not wrong.

0:20:31.690 --> 0:20:34.510
<v Speaker 1>There's this thing now. This wasn't when we were younger,

0:20:34.550 --> 0:20:36.630
<v Speaker 1>but the way the shorts are, it has this seam

0:20:36.710 --> 0:20:37.100
<v Speaker 1>in the middle.

0:20:37.130 --> 0:20:38.400
<v Speaker 3>They're ruched around the butt cheek.

0:20:38.500 --> 0:20:39.620
<v Speaker 1>What does ruched mean?

0:20:40.119 --> 0:20:41.359
<v Speaker 3>That effect that you're seeing.

0:20:42.760 --> 0:20:45.199
<v Speaker 1>So it must leave an opening for the cheeks to

0:20:45.240 --> 0:20:45.680
<v Speaker 1>fit within?

0:20:45.720 --> 0:20:48.420
<v Speaker 2>No, it just frames the cheek in a way that is,

0:20:49.220 --> 0:20:51.639
<v Speaker 2>you know, pretty, I guess, people like it.

0:20:52.050 --> 0:20:52.510
<v Speaker 3>Here's the thing.

0:20:52.630 --> 0:20:55.290
<v Speaker 2>I have always been very anti-whore.

0:20:55.670 --> 0:20:56.389
<v Speaker 3>Yeah. Okay?

0:20:56.869 --> 0:21:00.490
<v Speaker 1>You've definitely been against whores.

0:21:00.850 --> 0:21:03.670
<v Speaker 3>Yes, yes. I'm very, very particular.

0:21:03.730 --> 0:21:05.609
<v Speaker 2>If I see a woman that is acting a certain

0:21:05.650 --> 0:21:08.770
<v Speaker 2>way or is dressed a certain way and it leans whore,

0:21:09.350 --> 0:21:09.670
<v Speaker 2>I'm not.

0:21:09.609 --> 0:21:10.030
<v Speaker 3>Okay with it.

0:21:10.050 --> 0:21:12.690
<v Speaker 1>You're not okay with it. Although I've made.

0:21:12.590 --> 0:21:14.169
<v Speaker 3>Some jokes about this in the past. Okay, you know what?

0:21:14.190 --> 0:21:14.490
<v Speaker 1>Yeah, yeah.

0:21:14.530 --> 0:21:18.580
<v Speaker 3>Let's not make the joke now. Once upon a time,

0:21:18.660 --> 0:21:20.340
<v Speaker 3>maybe I was a whore too. Well, no.

0:21:20.380 --> 0:21:22.800
<v Speaker 1>The first time we ever met, you were a genie

0:21:23.280 --> 0:21:24.359
<v Speaker 1>on Halloween at a Halloween party.

0:21:24.400 --> 0:21:25.720
<v Speaker 3>Okay, but I wasn't dressed like a whore.

0:21:26.540 --> 0:21:28.859
<v Speaker 2>The issue is that I'm very well endowed and I

0:21:28.900 --> 0:21:29.740
<v Speaker 2>always have been.

0:21:29.760 --> 0:21:30.020
<v Speaker 1>Yes.

0:21:30.240 --> 0:21:33.680
<v Speaker 2>So when you're dressed like a genie, you know, you're,

0:21:33.880 --> 0:21:35.460
<v Speaker 2>you know, I was sexy.

0:21:35.540 --> 0:21:37.740
<v Speaker 1>And of course you didn't know that before you actually

0:21:37.850 --> 0:21:39.399
<v Speaker 1>decided to wear a genie outfit.

0:21:39.830 --> 0:21:41.010
<v Speaker 3>It wasn't whorish though.

0:21:41.030 --> 0:21:43.610
<v Speaker 2>There's a difference between, I was completely covered in every,

0:21:43.810 --> 0:21:45.330
<v Speaker 2>every area of my body was covered.

0:21:45.390 --> 0:21:45.810
<v Speaker 1>That's true.

0:21:45.990 --> 0:21:47.130
<v Speaker 3>That's true.

0:21:47.150 --> 0:21:49.640
<v Speaker 1>I will say one thing about you that, The whore

0:21:49.720 --> 0:21:50.860
<v Speaker 1>thing was never something.

0:21:51.000 --> 0:21:51.320
<v Speaker 3>No.

0:21:51.440 --> 0:21:53.160
<v Speaker 1>Except for when you wore the bustier to go see

0:21:53.200 --> 0:21:53.700
<v Speaker 1>Marky Mark.

0:21:53.740 --> 0:21:55.100
<v Speaker 3>It was a bustier. That's different.

0:21:55.140 --> 0:21:56.960
<v Speaker 1>But it's a bra, basically.

0:21:57.000 --> 0:21:59.609
<v Speaker 3>It's like a glamorized bra. It was a shirt. It

0:21:59.640 --> 0:22:00.290
<v Speaker 3>had sleeves.

0:22:01.190 --> 0:22:01.970
<v Speaker 1>Did it have sleeves?

0:22:01.990 --> 0:22:02.450
<v Speaker 3>Yeah, it had sleeves.

0:22:02.470 --> 0:22:03.530
<v Speaker 1>I don't remember it having sleeves.

0:22:03.550 --> 0:22:04.230
<v Speaker 2>Yeah, it had like little sleeves.

0:22:04.250 --> 0:22:06.450
<v Speaker 1>Oh, but it had like see-through sleeves. It was like lace.

0:22:06.470 --> 0:22:07.290
<v Speaker 3>Yeah, yeah, yeah.

0:22:07.369 --> 0:22:07.570
<v Speaker 1>Yes.

0:22:07.609 --> 0:22:09.770
<v Speaker 3>Okay, so that doesn't count. Oh, no, it counts.

0:22:09.790 --> 0:22:12.880
<v Speaker 1>So if I wore like lace shorts, would that count

0:22:12.920 --> 0:22:13.720
<v Speaker 1>as wearing shorts?

0:22:13.960 --> 0:22:14.900
<v Speaker 2>No, it only counted as gay.

0:22:15.000 --> 0:22:19.620
<v Speaker 1>Okay. So, yeah, I've been seeing a lot of this,

0:22:19.700 --> 0:22:22.400
<v Speaker 1>like Shane Gillis getting a lot of crap right now

0:22:22.460 --> 0:22:28.220
<v Speaker 1>because apparently he called women that dress like this in

0:22:28.240 --> 0:22:30.960
<v Speaker 1>the gyms whores. And so now you have all these

0:22:31.060 --> 0:22:35.700
<v Speaker 1>women on Instagram basically tagging him in the whore outfits

0:22:35.820 --> 0:22:37.199
<v Speaker 1>that they are, you know, claiming.

0:22:37.540 --> 0:22:38.580
<v Speaker 3>He's going to hate that.

0:22:38.619 --> 0:22:40.220
<v Speaker 1>Yeah, he's going to really, really hate that.

0:22:40.260 --> 0:22:41.740
<v Speaker 3>Way to get him back, ladies.

0:22:41.900 --> 0:22:44.710
<v Speaker 1>I haven't been to the gym to like a gym

0:22:44.770 --> 0:22:46.909
<v Speaker 1>like that. The only gym that I go to is

0:22:46.950 --> 0:22:49.820
<v Speaker 1>a local country club. And it's basically, I'd say the

0:22:49.920 --> 0:22:53.230
<v Speaker 1>average age, I'm probably like 15 years younger than the

0:22:53.290 --> 0:22:57.170
<v Speaker 1>average age there. So I would say that I haven't

0:22:57.410 --> 0:23:00.230
<v Speaker 1>been around a gym like that. But I see these

0:23:00.290 --> 0:23:03.510
<v Speaker 1>videos from these guys that are like muscle dudes that

0:23:03.570 --> 0:23:07.500
<v Speaker 1>call out people for poor etiquette inside the gym. And

0:23:07.760 --> 0:23:09.960
<v Speaker 1>I see the kinds of videos that they're showing. And

0:23:10.020 --> 0:23:11.000
<v Speaker 1>it's this whore stuff.

0:23:11.410 --> 0:23:14.000
<v Speaker 2>You know, also it's because there's all of these influencers

0:23:14.040 --> 0:23:16.379
<v Speaker 2>and they go there and they get brand deals and

0:23:16.420 --> 0:23:18.840
<v Speaker 2>now they got to film content. And the reason I

0:23:18.900 --> 0:23:21.400
<v Speaker 2>know that is because I do the same thing.

0:23:21.540 --> 0:23:24.060
<v Speaker 3>You know what I mean? Everywhere I go, I'm shooting content.

0:23:24.119 --> 0:23:24.700
<v Speaker 3>I'm shooting content.

0:23:24.720 --> 0:23:26.030
<v Speaker 1>Yeah, but you don't dress like a whore to the gym.

0:23:26.050 --> 0:23:27.250
<v Speaker 3>But I don't dress like a whore.

0:23:27.530 --> 0:23:27.710
<v Speaker 2>No.

0:23:28.230 --> 0:23:29.189
<v Speaker 1>Well, speaking of whores.

0:23:29.630 --> 0:23:32.369
<v Speaker 2>Kimberly Kilvoy.

0:23:34.350 --> 0:23:37.950
<v Speaker 3>You know what? She's not a whore. She's not a whore.

0:23:37.990 --> 0:23:38.150
<v Speaker 1>Okay.

0:23:38.450 --> 0:23:40.619
<v Speaker 3>Okay. But she was married to Gavin Newsom.

0:23:41.060 --> 0:23:41.780
<v Speaker 1>Yes.

0:23:41.800 --> 0:23:43.060
<v Speaker 3>So, you know, that's a flaw.

0:23:43.300 --> 0:23:43.720
<v Speaker 1>Yes.

0:23:43.760 --> 0:23:45.570
<v Speaker 3>That was a flaw. But she's definitely not a whore.

0:23:46.160 --> 0:23:47.470
<v Speaker 3>I wouldn't say that she's a whore.

0:23:47.910 --> 0:23:50.750
<v Speaker 1>What was a pro-ho? What is the ho part of pro-ho?

0:23:51.550 --> 0:23:52.030
<v Speaker 3>I don't know.

0:23:52.050 --> 0:23:53.149
<v Speaker 1>Is that whore? Pro-whore?

0:23:53.810 --> 0:23:56.030
<v Speaker 2>I don't know what she is, but I mean, I

0:23:56.070 --> 0:23:56.510
<v Speaker 2>don't know, I guess.

0:23:56.650 --> 0:23:58.469
<v Speaker 3>Was that a sugar daddy that had to pay her

0:23:58.570 --> 0:23:59.230
<v Speaker 3>Amex bill?

0:23:59.430 --> 0:24:02.690
<v Speaker 1>Did you? I was shocked by that. And now you have,

0:24:03.060 --> 0:24:04.560
<v Speaker 1>so basically, if you guys haven't heard about this story,

0:24:04.619 --> 0:24:05.200
<v Speaker 1>I'm sure you have.

0:24:05.260 --> 0:24:05.860
<v Speaker 3>Of course they have.

0:24:05.900 --> 0:24:11.010
<v Speaker 1>Kimberly Guilfoyle. She had to resign. Is it Guilfoyle or Guilfoyle? Guilfoyle. Guilfoyle.

0:24:11.690 --> 0:24:14.530
<v Speaker 1>Had to resign from, I believe she was the ambassador

0:24:14.550 --> 0:24:15.040
<v Speaker 1>for Greece.

0:24:15.080 --> 0:24:15.389
<v Speaker 3>Yes.

0:24:16.320 --> 0:24:20.419
<v Speaker 1>And they, somehow some investigation was done where it was

0:24:20.500 --> 0:24:23.500
<v Speaker 1>found that she was reaching out to this kind of

0:24:24.020 --> 0:24:26.540
<v Speaker 1>donor that was also, that was in trouble, it sounds like,

0:24:26.940 --> 0:24:28.220
<v Speaker 1>in some kind of a tax trouble.

0:24:28.560 --> 0:24:28.960
<v Speaker 3>Okay.

0:24:29.280 --> 0:24:33.980
<v Speaker 1>And she had an American Express bill, allegedly, that she

0:24:34.100 --> 0:24:38.369
<v Speaker 1>wanted him to pay for. And so apparently there was

0:24:38.390 --> 0:24:40.169
<v Speaker 1>an email, I think, that she sent him or some

0:24:40.190 --> 0:24:42.860
<v Speaker 1>kind of a correspondent. No, she used, I think, Signal.

0:24:43.300 --> 0:24:47.379
<v Speaker 1>She used like one of those encrypted messaging things saying,

0:24:47.480 --> 0:24:50.490
<v Speaker 1>you know, please, I need you to send that $ 100, 000

0:24:50.359 --> 0:24:52.380
<v Speaker 1>to pay off. And she goes, and it won't be,

0:24:52.560 --> 0:24:55.530
<v Speaker 1>you know, won't go be recorded anywhere if you just

0:24:55.570 --> 0:24:59.010
<v Speaker 1>pay American Express directly. This is what she allegedly said

0:24:59.050 --> 0:25:02.190
<v Speaker 1>to him. And so this news starts to get out there.

0:25:02.350 --> 0:25:05.530
<v Speaker 1>And I'm sure the Trump camp is just like, Oh,

0:25:05.630 --> 0:25:08.520
<v Speaker 1>my God. Another one. Beside the fact that she used

0:25:08.540 --> 0:25:12.320
<v Speaker 1>to date Don Jr. And so maybe she knows some like,

0:25:12.900 --> 0:25:14.920
<v Speaker 1>you know, dirt or at least she'll claim she knows

0:25:14.980 --> 0:25:17.700
<v Speaker 1>some dirt that she could put out there. Guarantee you. OK,

0:25:17.700 --> 0:25:19.000
<v Speaker 1>I'm going to make a prediction right now.

0:25:19.119 --> 0:25:19.679
<v Speaker 3>OK.

0:25:19.720 --> 0:25:23.810
<v Speaker 1>She is going to do the anti-Trump circuit at some point.

0:25:25.030 --> 0:25:27.090
<v Speaker 1>At some point, she's going to do that because it

0:25:27.170 --> 0:25:29.430
<v Speaker 1>sounds to me like she's in real trouble on this.

0:25:30.150 --> 0:25:33.399
<v Speaker 1>She was I guess she was resisting resigning. And the

0:25:33.440 --> 0:25:35.659
<v Speaker 1>Trump camp was just I think he even distanced himself

0:25:35.680 --> 0:25:36.060
<v Speaker 1>a little bit.

0:25:36.340 --> 0:25:37.760
<v Speaker 3>Oh, yeah, he did. He did.

0:25:37.820 --> 0:25:40.380
<v Speaker 2>He was like, you know, he said publicly, I guess

0:25:40.420 --> 0:25:42.890
<v Speaker 2>she's I think she's to date my son. You know,

0:25:42.930 --> 0:25:44.350
<v Speaker 2>like like he didn't know. Yeah.

0:25:44.369 --> 0:25:45.290
<v Speaker 3>She was at Christmas.

0:25:45.570 --> 0:25:47.710
<v Speaker 1>Yeah, exactly.

0:25:47.730 --> 0:25:49.830
<v Speaker 3>You know, for many years.

0:25:49.890 --> 0:25:53.989
<v Speaker 1>But what he can I'm sure, you know, has some

0:25:54.030 --> 0:25:57.030
<v Speaker 1>experience with is that once you have a falling out

0:25:57.070 --> 0:26:00.250
<v Speaker 1>with somebody within his inner circle, they're going to have.

0:26:00.930 --> 0:26:02.710
<v Speaker 1>some skeletons that they think that they're going to be

0:26:02.750 --> 0:26:05.610
<v Speaker 1>able to share. And so that's probably why he's doing that.

0:26:05.690 --> 0:26:09.070
<v Speaker 1>So she resigns. We'll see where that goes. It might

0:26:09.130 --> 0:26:11.640
<v Speaker 1>be kind of like the nature of the beast in Washington, D.C.,

0:26:11.720 --> 0:26:14.820
<v Speaker 1>where you have an administration. You're always going to have

0:26:14.859 --> 0:26:17.619
<v Speaker 1>these people that think they have access that want to

0:26:17.660 --> 0:26:20.379
<v Speaker 1>sell that access. That looks like what happened here. I

0:26:21.000 --> 0:26:23.320
<v Speaker 1>think the time will tell where it goes. But I

0:26:23.859 --> 0:26:26.570
<v Speaker 1>I do think my prediction is going to play out well.

0:26:26.590 --> 0:26:30.010
<v Speaker 1>I think she's going to. Because she was with Gavin

0:26:30.170 --> 0:26:34.959
<v Speaker 1>Newsom before. So she can obviously jump political sides. And

0:26:35.000 --> 0:26:38.280
<v Speaker 1>she can also see how lucrative that can be sometimes

0:26:38.340 --> 0:26:40.939
<v Speaker 1>when you are the guy that are going to the

0:26:40.980 --> 0:26:43.199
<v Speaker 1>mainstream media. I mean, look at what's her name, Marjorie

0:26:43.240 --> 0:26:46.120
<v Speaker 1>Taylor Greene, going now to the CNNs of the world

0:26:46.160 --> 0:26:48.730
<v Speaker 1>and the views of the world, going anti-Trump.

0:26:48.810 --> 0:26:49.790
<v Speaker 3>By the way, we called that.

0:26:50.250 --> 0:26:50.590
<v Speaker 1>We did.

0:26:50.980 --> 0:26:53.859
<v Speaker 2>Called that years ago we said she was problematic and

0:26:53.900 --> 0:26:55.420
<v Speaker 2>everyone was like yeah but he's seen her.

0:26:55.380 --> 0:26:56.460
<v Speaker 3>Lift the weights.

0:26:59.470 --> 0:27:02.050
<v Speaker 1>So i hope you guys can go check out uh

0:27:02.190 --> 0:27:04.810
<v Speaker 1>check out our new episode judgment day i hope you

0:27:04.830 --> 0:27:08.030
<v Speaker 1>guys like it we will have another episode we're releasing

0:27:08.050 --> 0:27:10.879
<v Speaker 1>the new episodes every first and third um thursday of

0:27:10.910 --> 0:27:14.979
<v Speaker 1>the month next month is our eight year anniversary we

0:27:15.020 --> 0:27:18.080
<v Speaker 1>are going to be here for eight years on november

0:27:18.300 --> 0:27:20.640
<v Speaker 1>1st and we're going to celebrate it the entire month

0:27:20.660 --> 0:27:23.679
<v Speaker 1>of of November like we normally do. If you guys

0:27:23.940 --> 0:27:26.200
<v Speaker 1>can please join the fam bam, we need your guys' support.

0:27:26.220 --> 0:27:29.909
<v Speaker 1>Go to redpilledamerica.com and click join in the top of

0:27:29.930 --> 0:27:33.550
<v Speaker 1>the menu. Until next time, everybody enjoy the rest of

0:27:33.570 --> 0:27:33.870
<v Speaker 1>your week.

0:27:34.570 --> 0:27:35.150
<v Speaker 3>Bye, everyone.