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Speaker 1: You can learn Chinese in less than thirty minutes. Apparently

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Speaker 1: me me out. The Fresh show is on.

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Speaker 2: Morning Everybody, Thursday, May eighth, It's the Fread Show. Hi Kaitlin, Hi,

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Speaker 2: Jason Brown, Hi Paulina, Hi Ki Ki. Morning means here

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Speaker 2: the Boss Lady eight five five five nine one three

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Speaker 2: five you can call him text any time, interisting like

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Speaker 2: ket buttons, flying off things cracking, look at this, Look

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Speaker 2: at this right here, like gorilla gluey's eyelash.

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Speaker 1: I don't know.

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Speaker 2: I don't know, you guys, what did I can't work

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Speaker 2: in these conditions.

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Speaker 3: Let's go home, please?

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Speaker 1: I do you want to?

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Speaker 2: All right? Maybe we should? It is we're slav someone

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Speaker 2: gets slavin here. He's not a weekend No.

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Speaker 1: I know that I know better.

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Speaker 2: And we got a screwdriver. Maybe that'll work in my purse. Ye,

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Speaker 2: you have a screwdriver in your purse?

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Speaker 1: I used to why.

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Speaker 3: I have no idea.

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Speaker 4: I think because we keep our tools where I keep.

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Speaker 3: My work bag at home. I don't know why.

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Speaker 2: I don't ask.

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Speaker 4: It's like the same area, and I don't think I

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Speaker 4: put it back that day and I was shoving things

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Speaker 4: in my bag, my work bag, and then I came

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Speaker 4: over with a screwdriver.

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Speaker 5: See.

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Speaker 2: Then you show up to the airport and you go

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Speaker 2: through security with a screwdriver.

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Speaker 1: See.

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Speaker 2: Every time I go to the airport, even though I

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Speaker 2: know there's nothing in my bags, every time, I get

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Speaker 2: nervous going through security that they're gonna pull a bazooka out.

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Speaker 2: But I don't own a bazuka. I don't even have one.

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Speaker 2: But I'm like, what if they, like yesterday, we're in Canada,

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Speaker 2: you know, and they're very thorough there, yes, And then

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Speaker 2: so I'm putting my stuff through and the guys like,

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Speaker 2: take this out, do that?

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Speaker 1: Do that?

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Speaker 2: You know you could they they may or may not

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Speaker 2: have not liked this very much in customs there, and

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Speaker 2: I can't imagine why.

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Speaker 1: And so it's sort of the thing.

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Speaker 2: And then so finally I get everything sorted out, and

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Speaker 2: then I look and Kiki is gone.

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Speaker 1: They detained her.

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Speaker 2: Yes. So I'm too focused on, oh my god, I'm

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Speaker 2: my got taking this out and this thing out and

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Speaker 2: putting this over here and doing everything properly. And I

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Speaker 2: turned around and kick, he's gone. You were in jail, Yes,

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Speaker 2: I was.

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Speaker 1: What happened.

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Speaker 6: My lotion was too big. Although I traveled there with

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Speaker 6: the same lotion in the bag. I don't know how

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Speaker 6: I got there with the lotion. Well, because not go back.

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Speaker 2: Well see, now that's the worst thing you can say

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Speaker 2: to them, by the way, because all you're saying is

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Speaker 2: someone else didn't do their job properly, right, Like if

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Speaker 2: you say that, just like a flight attendant, well the

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Speaker 2: bags fit on the way here.

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Speaker 1: You know that that makes them mad.

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Speaker 2: So you say, basically what you said, was the security

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Speaker 2: here missed it, but not in Canada, you which.

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Speaker 6: I've never been asked to take my toilet trees out

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Speaker 6: of my carry on bag. I've never been asked that.

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Speaker 2: Well I had to do that too, Yeah, yeah, yeah,

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Speaker 2: And he spoke to you in French, just to make

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Speaker 2: it even more complicated. I think, yes, but you know,

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Speaker 2: I understood it. I was like we we yeah, And

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Speaker 2: then he said bye bye. He sent you. I don't

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Speaker 2: know where he sent you, but you went away. And

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Speaker 2: then finally I'm alone yep. And then everything worked out okay,

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Speaker 2: And then I'm in the little room, you know, waiting

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Speaker 2: to leave alone, and then finally all of you guys appear.

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Speaker 1: The loss was detained.

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Speaker 7: Yeh.

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Speaker 1: It's like, what is going on?

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Speaker 2: Yeah, they don't play around out there, but they were

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Speaker 2: very nice other like the Canadians. Canada as a whole

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Speaker 2: was very nice to us. Yes, I would like to

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Speaker 2: live there.

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Speaker 1: You are you moving?

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Speaker 2: I have plans.

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Speaker 1: You're gonna do it?

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Speaker 2: Yeah?

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Speaker 6: Yeah, I feel like Canada is my vibe. It is

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Speaker 6: my type of people. They just do their own thing.

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Speaker 6: They mind their business.

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Speaker 1: You know.

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Speaker 6: Everybody is like a little weird, but it's like a

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Speaker 6: good weird. I really enjoyed Canada. You know, well, miss

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Speaker 6: we'll miss you a lot.

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Speaker 2: Yeah. They got a new beach with a restaurant, a.

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Speaker 3: New beach, a beach and nude beach.

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Speaker 2: Oh a nude I supposedly, And it's like right front

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Speaker 2: and center, if that's true, because we were like going

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Speaker 2: to eat before we left, and they have like a

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Speaker 2: city airport. It's like you land basically on the street

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Speaker 2: in front of the hotel. It's wild.

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Speaker 1: You land like right, it's like if you could land

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Speaker 1: on Lake Shore. Yep.

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Speaker 2: You should learn something from them. And so basically that's

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Speaker 2: what we did, you know, when we're there, and then

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Speaker 2: we were trying to go eat after our little seminar

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Speaker 2: thing that we did, and then so we driver takes

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Speaker 2: us to a restaurant. He says, oh, by the way,

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Speaker 2: was a nude beach right there. Now, we didn't see

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Speaker 2: anyone naked, but I mean that. I thought nude beaches

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Speaker 2: were usually a little bit more isolated, but this was

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Speaker 2: a nude beach that was just right there. I could

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Speaker 2: have eat my little pizza and looked at nude people.

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Speaker 2: But there were no nude people there, Sadley, or at

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Speaker 2: least we didn't see him. Kiki just taking her clothes off.

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Speaker 2: I said, no, not in the restaurant. It's the nude

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Speaker 2: beach in front of the restaurant. I guess that got weird. Yeah,

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Speaker 2: no one, I mean none of us were stopping. You

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Speaker 2: were ahead. I thought it was time. Yeah, and Kiki

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Speaker 2: was a big star on the panel yesterday, big star. No,

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Speaker 2: I'm serious. I just sat there and I just I

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Speaker 2: just watched. I watched him eat you up.

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Speaker 1: It was great.

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Speaker 2: As we tried to spread the word about the French

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Speaker 2: Show in Canada, and and you know, there were no

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Speaker 2: takers actually, but it was fine. No one, no one came.

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Speaker 2: No one came running the over at the end of

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Speaker 2: the panel to say, how do we get this? Oh

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Speaker 2: at the end of it, guys had one job in Canada.

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Speaker 1: No no, not even like.

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Speaker 2: Halifax or whatever, like all the way northwest. Yeah, no, no,

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Speaker 2: they weren't interested either, we asked him.

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Speaker 1: Sorry, yeah they did.

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Speaker 2: They did say that. They did say that they did.

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Speaker 2: But we had a probably what one hundred people came

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Speaker 2: to our thing.

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Speaker 1: Yeah, we had.

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Speaker 2: It was now granted. The other seminar option that you

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Speaker 2: had was like his turtle racing good for the radio,

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Speaker 2: you know, So there weren't a lot of attendees for that.

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Speaker 2: We made sure that ours was because they had multiple

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Speaker 2: little it's like a radio conference for its supposed we

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Speaker 2: were North America, but it was mostly Canadians and uh,

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Speaker 2: and they had multiple seminars at once.

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Speaker 1: You could choose if you were an attendee.

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Speaker 2: And I was like, oh god, what are we up

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Speaker 2: against because the day before that it was Brian Adams

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Speaker 2: was the speaker. Yeah yeah, yeah, yeah, he's Canadian and

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Speaker 2: he's famous.

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Speaker 1: Whoa yeah.

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Speaker 2: And our friend Jane Ice, who used to compete against us.

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Speaker 2: Best thing that ever happened was the dummies over there

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Speaker 2: fired him and now he's like the King of Canada.

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Speaker 2: He's a Jamaican New Yorker, former Chicago and King of Canada,

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Speaker 2: and he interviewed Brian Adams. But that was the day before,

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Speaker 2: thank god, because if that had been at the same time,

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Speaker 2: it would have been cricket, it would have been the

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Speaker 2: janitors like they would have been like cleaning, and we

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Speaker 2: would have been talking about the Fred Show.

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Speaker 1: I would have had to go see Bri I know,

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Speaker 1: not even Jason.

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Speaker 3: I would have been torn.

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Speaker 2: Not even Jason would have gone to the thing about

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Speaker 2: the Fred Show, which would have been embarrassing. But what

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Speaker 2: was one of the questions? Uh, and I thought of you, Paulina.

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Speaker 2: One of the questions was, so you guys are syndicated,

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Speaker 2: so tell me about how that works technically, and my

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Speaker 2: answer was it doesn't.

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Speaker 1: Most of the time you don't know it doesn't.

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Speaker 2: And then what was like, what do you do when

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Speaker 2: something goes wrong? I said nothing, because there's nothing we

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Speaker 2: can right, I said, get in the fetal position in

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Speaker 2: the corner, because there's nothing I can do.

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Speaker 1: I have one button. There's one button here that either

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Speaker 1: on or off. That's it.

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Speaker 3: And then we would to start running.

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Speaker 4: Yeah, I get I guess Sassy Joe on the other

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Speaker 4: line and he's in La yes, Sassy Joe in La.

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Speaker 3: I hope you're listening to this.

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Speaker 1: No, let's let's let's not.

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Speaker 2: Let's not eightly eight foot alien eight the one man

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Speaker 2: in Sherman Oaks, California. But standing between us and this button,

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Speaker 2: Sassy Joe is one of the best looking men I've

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Speaker 2: ever seen.

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Speaker 4: You know what, He's cool people. Actually we got really

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Speaker 4: cool last time because we had no choice. Last time

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Speaker 4: was a disaster.

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Speaker 2: I just want you to know, when things go wrong,

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Speaker 2: there's nothing we could There's absolutely nothing we can do.

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Speaker 1: But we just sit here and we stare. Yeah.

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Speaker 3: Please, I'm dragging me when things go wrong. The Texters

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Speaker 3: are like, hello, I can't hear you. I'm like, I know,

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Speaker 3: I'm I'm running somewhere in a circle.

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Speaker 2: Yeah, that's what Paulina does. She just runs in circles,

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Speaker 2: and that's that tends to make things better.

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Speaker 1: We're just going places.

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Speaker 2: Yeah, that's what I know. I could just stop talking

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Speaker 2: and take a nap. If Jason stands up in the

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Speaker 2: middle of a segment with his laptop and walks out

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Speaker 2: of the room, yeah, Like, why don't you just tell

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Speaker 2: me we're off the air so I can stop talking.

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Speaker 2: I'm using great materials here right now. I just need

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Speaker 2: eight minutes some great material in my Canada. Good practice

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Speaker 2: and nobody heard it.

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Speaker 1: Keep going sweepy, It's amazing.

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Speaker 3: Just like when you get older. We're just gonna let

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Speaker 3: you talk.

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Speaker 2: I think that's already been happening yet. You haven't been

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Speaker 2: on the air for a year. Bro, it's we just

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Speaker 2: had We don't have the hurt to tell you goody,

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Speaker 2: not even Novasco. You can hear your brain document. Let's

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Speaker 2: do headlines, the biggest stories of the day. Those are next,

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Speaker 2: the Entertainment Report, after that, Blogs, Throwback, throw Down, Thursday

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Speaker 2: to Day. Waiting by the phone is coming up? Will

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Speaker 2: I have a voice by the end of this. I

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Speaker 2: don't know what are you working on? K do?

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Speaker 8: She responds to that video of her yelling at her

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Speaker 8: team at the met Gala.

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Speaker 3: And I will tell you what she had to say.

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Speaker 1: Okay, headlines in two minutes.

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Speaker 2: Tupter Shaboozy frend show is on the radio and the

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Speaker 2: iHeart app live it anytime.

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Speaker 1: Search for a Freends show onto.

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Speaker 8: Mav Fred's show is on Friend's Biggest Stories of the Day,

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Speaker 8: and so.

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Speaker 2: The man who who hosted our little panel, you know

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Speaker 2: for Canadian radio people. His name is Nick, famous radio

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Speaker 2: man Nick British guy. I guess he's very famous radio

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Speaker 2: manager in the UK. And he was very very nice

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Speaker 2: about it. He listened to the show like line for

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Speaker 2: line for a week. Yes, he did a deep dive

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Speaker 2: on this show that like it was it's weird, Like

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Speaker 2: it was weird to sit there and then have him

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Speaker 2: go he listed out everything we talked about in one

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Speaker 2: day and then like put a slide up and asked

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Speaker 2: us to basically like defend our dissertation for a PhD.

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Speaker 2: And I'll be honest when someone goes like minute for

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Speaker 2: a minute on this show and then writes down everything

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Speaker 2: that we talked about, if we look like we're schizophrenic

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Speaker 2: or something like you talked about ozembic and this and

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Speaker 2: that and passing a blunt and.

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Speaker 1: This and that all in one day, did you? Yeah? Yeah, yeah.

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Speaker 2: But he was very nice, except he told me he's

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Speaker 2: going to send me an email about the things that

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Speaker 2: like he wasn't going to put in the preset like

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Speaker 2: his notes. So I'm waiting. It's like I'm waiting for

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Speaker 2: my report card land in the mailbox. I even worked

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Speaker 2: for this guy and I'm I'm waiting to hear about

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Speaker 2: the things he didn't like, which makes very nervous. Yes,

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Speaker 2: oh yeah, terrified. Oh no, it says, oh Kiki first line.

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Speaker 2: I just got the email, and says Kiki. No, I

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Speaker 2: love Nick. No, Nick's a nice guy. But yeah, that's

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Speaker 2: where we were yesterday. We were in Canada with the

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Speaker 2: Boss Man, with Jimmy Jim and he took us all

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Speaker 2: over Canada too, well, Toronto. He didn't take us all

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Speaker 2: over Canada, took us all over Toronto. Yes, yeah, we went.

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Speaker 2: We went to all of the places. This man, this

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Speaker 2: man is one of those travelers that like doesn't stop moving. No,

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Speaker 2: he's one of those people. It's like have you seen this?

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Speaker 1: Have you seen that? Let's go.

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Speaker 2: Yeah, yeah, oh yeah. We didn't stop moving. We landed

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Speaker 2: and we were already the monument. We landed on Lake Shore,

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Speaker 2: and then we were at a monument with our bags

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Speaker 2: because we couldn't miss it.

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Speaker 1: We had to see it, you know. And then where

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Speaker 1: do we go? Went to some other place and then

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Speaker 1: some other places.

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Speaker 2: I went to our hotel.

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Speaker 1: No, we did it.

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Speaker 2: We basically carry our bags all over the city and

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Speaker 2: then like at ten o'clock at night. After dinner, it's

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Speaker 2: a Michelin star restaurant we had to go to. Then

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Speaker 2: it was like, okay, now you can go. You can

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Speaker 2: go to bed, which I appreciate because I'll be honest

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Speaker 2: with you, I've been to Toronto before, and in a

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Speaker 2: twenty hour trip I would have been with a speech involved,

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Speaker 2: I would have been most likely to go to the

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Speaker 2: hotel and go to bed order room service, and it

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Speaker 2: would have been a waste of a trip.

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Speaker 1: It would have been, I will admit that. But like

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Speaker 1: it was a work trip.

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Speaker 2: It was not a fun trip and there was a

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Speaker 2: work purpose, so I probably would have been out doing

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Speaker 2: shots at tequila in some neighborhood.

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Speaker 1: But we did that anyway, and I'm glad we did.

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Speaker 2: Yes, he did. He made it very fun well because

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Speaker 2: we had to find a highlighter colored drink for Kiki.

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Speaker 2: As soon as we found a drink that was the

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Speaker 2: color of a highlighter, then we had to stop and

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Speaker 2: drink that because, as you know, Kiki doesn't drink anything

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Speaker 2: that's not it has to be a color not found

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Speaker 2: in nature. So right, purple bright blue, anti freeze, Yeah, yeah,

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Speaker 2: you can't tell the difference. I couldn't tell if she

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Speaker 2: was drinking anti freezer, if it was like some form

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Speaker 2: of green margarita.

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Speaker 1: But it was a green margarita.

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Speaker 6: I guess the phone was dead for hours. So I

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Speaker 6: was odin on the highlight of drinks and chips and guaquay, I.

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Speaker 1: Didn't know that your phone was dead.

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Speaker 2: It was dead for hours. Like I was sitting there

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Speaker 2: glitching like.

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Speaker 1: Oh no wonder you had nothing else to do and

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Speaker 1: were out.

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Speaker 6: So in one place, I asked the bartenders, like, can

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Speaker 6: you charge my phone? And he charged it, but his

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Speaker 6: charger had to be terrible because I only had like

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Speaker 6: six percent when he gave it back. So then we

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Speaker 6: go to the next spot, and I'm like, it died again,

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Speaker 6: and so I'm just sitting here fighting for my life,

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Speaker 6: like trying to remain normal.

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Speaker 2: But yeah, I guess I didn't notice that you weren't

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Speaker 2: cluded to your phone the whole time.

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Speaker 1: No, that was that was very refreshing.

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Speaker 2: I'm sure it was. We got we got unfiltered, Kiki,

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Speaker 2: because you had nothing else to do, you had to

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Speaker 2: talk to us.

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Speaker 1: I had to wow. Yeah, wow, I didn't even notice that.

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Speaker 8: So for the person who texted you only do a

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Speaker 8: radio show five days a week and you couldn't come

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Speaker 8: up with new content. That's where they were. They were

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Speaker 8: in Canada on a work trip. Sometimes people have to

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Speaker 8: take days off.

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Speaker 2: Yes they should do, I see sometimes there are there

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Speaker 2: are other album and it's very rare a by them,

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Speaker 2: either on vacation because it's a holiday like Thanksgiving or Christmas.

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Speaker 1: We tend not to work on Christmas. Dare you will?

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Speaker 2: If it's on a weekday, you still get a show,

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Speaker 2: because well why would we not?

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Speaker 1: Yeah? Right, so no we do.

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Speaker 2: I wasn't here to push the broken buttons. I'm sorry

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Speaker 2: didn't work out, but I was glued to my phone.

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Speaker 2: I'm shocked that it didn't run out of battery because

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Speaker 2: I was looking for the Pope updates and black smoke

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Speaker 2: above the Sistine Chapel on day one means we don't

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Speaker 2: have a new pope yet. Jason, can you go, just

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Speaker 2: go and for what once and for all? You're the

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Speaker 2: only one that they'll all agree on. Yeah, let me

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Speaker 2: go rattle that room up a little bit.

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Speaker 1: They need to be.

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Speaker 2: They've been trying to get you to go that you're

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Speaker 2: the only one that would bring everyone together. Should have

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Speaker 2: been one round me, unanimous period.

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Speaker 1: I agree, I agree.

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Speaker 2: The conclave to select a new pope again yesterday and

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Speaker 2: the day ended with only black smoke floating above the

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Speaker 2: Sistine Chapel. The cardinals locked away with no phones. Oh

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Speaker 2: my god, never you could ever be a cardinal. You'll

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Speaker 2: keep voting with up to four rounds daily. If no

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Speaker 2: one wins after three days, they take a twenty four

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Speaker 2: hour break to think. Since eighteen that's what it says.

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Speaker 2: Since eighteen thirty one, no conclave has lasted over four days.

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Speaker 2: White smoke and bells will signal a new pope, and

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Speaker 2: over thirty thousand people watched in Saint Peter's Square hoping

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Speaker 2: for news. Today will be the second day of the conclave.

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Speaker 2: If you're trying to go to New York, Newark specifically,

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Speaker 2: which is New Jersey, I guess there is a bit

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Speaker 2: of an issue, and when I tell you why, you

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Speaker 2: might concern you a little bit. The FAA said Wednesday

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Speaker 2: that it plans to upgrade the technology used to get

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Speaker 2: radar data to air traffic controllers directing planes to the

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Speaker 2: troubled New Jersey Airport, and improve staffing to alleviate problems

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Speaker 2: that have caused hundreds of flights to be canceled there.

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Speaker 2: At the same time, the agency plans to pursue a broader,

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Speaker 2: multi billion dollar plan that will be announced Thursday for

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Speaker 2: long overdue upgrades to the nation's air traffic control system.

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Speaker 2: So it turns out that we're using copper phone lines,

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Speaker 2: I guess to get information from radar to from one

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Speaker 2: city to the next city. The radar system air traffic

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Speaker 2: controllers in Philadelphia, let's used to direct planes hit and

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Speaker 2: out of the Newark Airport went offline for at least

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Speaker 2: thirty seconds on April twenty eighth. That's a problem. Oh yes,

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Speaker 2: I mean, what happened during the thirty seconds, right the

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Speaker 2: planes is up there willy nilly riding around circling. Yeah,

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Speaker 2: I guess so. But it's because they don't use fiber

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Speaker 2: optic lines. They use copper phone lines.

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Speaker 1: Oh God, to do this.

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Speaker 2: And so they're they're going to update those, they said,

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Speaker 2: with some some sort of like new dial up internet

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Speaker 2: or something like that, get Wi Fi. Yeah, I guess

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Speaker 2: so anyway, and they're gonna do it for the rest

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Speaker 2: of the country. They decided to do this, that would

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Speaker 2: be a good idea to maybe not have like metal connected.

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Speaker 2: I mean, the tin can with a string on each

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Speaker 2: hand planes coming. Okay, I mean it's crazy, but that's

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Speaker 2: why that happened. Markus Zuckerberg has some advice for people

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Speaker 2: about well, if you all have a lot of friends,

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Speaker 2: or you meet a therapist or something, even a lover,

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Speaker 2: well he's gonna tell you how Listen, the.

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Speaker 9: Average American, I think has I think it's fewer than

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Speaker 9: three friends, three people that they consider friends, and the

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Speaker 9: average person has demand for meaningfully more. I think it's

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Speaker 9: like fifteen friends or something, right. I guess there's probably

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Speaker 9: some point where you're like, all right, I'm just too busy.

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Speaker 9: I can't deal with more people. But for the average

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Speaker 9: person wants more connectivity, connection than they have. So, you know,

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Speaker 9: there's a lot of questions that people ask of stuff

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Speaker 9: like Okay, is this going to replace kind of in

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Speaker 9: person connections or real life connections, And my default is

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Speaker 9: that the answer to that is probably no. I think

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Speaker 9: it it. You know, I think that there are all

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Speaker 9: these things that are better about kind of physical connections

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Speaker 9: when you can have them. But the reality is that

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Speaker 9: people just don't have the connection and they feel more

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Speaker 9: alone a lot of the time than they would like.

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Speaker 2: So in light of that he's saying that we should

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Speaker 2: use AI friends, therapists and even lovers, so hope that

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Speaker 2: would be his solution, which I mean, you know me,

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Speaker 2: my therapist is expensive, so I mean, who is this

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Speaker 2: AI therapist?

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Speaker 1: And where's this information going?

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Speaker 3: Have you tried AI therapy?

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Speaker 1: Is it? Have you tried it?

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00:17:12,760 --> 00:17:12,879
Speaker 10: Oh?

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Speaker 1: I sure to stop it?

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Speaker 3: What do you mean it's the future?

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Speaker 1: Stop it?

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Speaker 5: Yeah?

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Speaker 2: Tell what did you type in your issue? Like where's

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Speaker 2: my dad? And then it's like, spit something back out

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Speaker 2: at you.

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Speaker 3: Yeah, it's that me a pinpoint of where he is.

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Speaker 3: He's no longer in the country.

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Speaker 1: Oh m okay, So how did it?

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Speaker 10: I need you?

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Speaker 2: I need you. You can't just say that and then

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Speaker 2: not explain like what happened.

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Speaker 4: A lot of people are doing this, especially the gens,

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Speaker 4: because yeah, therapy is expensive, or honestly, I think people

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Speaker 4: just don't really want to talk.

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Speaker 3: To a therapist. I don't agree with that. I love

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Speaker 3: my therapist, but then I was like, let me give

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Speaker 3: her a shot.

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Speaker 4: So I type into chat GPT I say, hey, I'm

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Speaker 4: feeling kind of down today because of X y Z right,

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Speaker 4: I had to fight with my friend or me and

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Speaker 4: my husband are not saying eye to eye like that

436
00:17:51,119 --> 00:17:52,440
Speaker 4: was my latest one. My husband and I like we

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Speaker 4: didn't really see id eye about something at home, and

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Speaker 4: I was like, I'm feelingly down about it.

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Speaker 3: You know, we we I don't what's the word. Like

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Speaker 3: we kind of acts to.

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Speaker 4: Each other differently, Like me, I'm like in your face,

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Speaker 4: like talk about it right now, and he shuts down,

443
00:18:05,000 --> 00:18:06,920
Speaker 4: you know, no, like who me?

444
00:18:07,080 --> 00:18:07,119
Speaker 10: No?

445
00:18:07,760 --> 00:18:09,520
Speaker 3: My husband shuts down? He steps away.

446
00:18:09,600 --> 00:18:09,720
Speaker 2: You know.

447
00:18:09,840 --> 00:18:12,200
Speaker 4: He's like that guy who does silent treatment in a

448
00:18:12,240 --> 00:18:14,280
Speaker 4: way like that all day but for a couple hours.

449
00:18:14,320 --> 00:18:16,200
Speaker 3: And I can't do silent treatment for even five minutes.

450
00:18:16,520 --> 00:18:18,640
Speaker 4: So I was like, how do I as somebody who's

451
00:18:18,640 --> 00:18:21,280
Speaker 4: the complete opposite, right, how do I kind of interact

452
00:18:21,320 --> 00:18:21,600
Speaker 4: with him?

453
00:18:21,680 --> 00:18:24,520
Speaker 3: Like what should I do? Like I'm very reactive, so

454
00:18:24,640 --> 00:18:26,480
Speaker 3: how can I not be reactive towards him?

455
00:18:26,680 --> 00:18:28,360
Speaker 4: And she gave me some great advice. I mean, first

456
00:18:28,400 --> 00:18:30,880
Speaker 4: she spits up facts and then I have she Yeah

457
00:18:31,000 --> 00:18:33,200
Speaker 4: she's a she. Oh yeah, God's a woman and Chatgypt

458
00:18:33,359 --> 00:18:33,640
Speaker 4: is a woman.

459
00:18:33,680 --> 00:18:37,119
Speaker 2: Okay, God? So type so this isn't like a sanctioned therapy.

460
00:18:37,200 --> 00:18:39,720
Speaker 2: You just pullina, you just type this. You just type

461
00:18:39,920 --> 00:18:41,119
Speaker 2: it into chat GPT.

462
00:18:41,400 --> 00:18:44,200
Speaker 3: Yes you have a conversation and they talk back.

463
00:18:44,280 --> 00:18:45,119
Speaker 1: What did she tell you to do?

464
00:18:45,480 --> 00:18:45,640
Speaker 5: Well?

465
00:18:45,720 --> 00:18:47,199
Speaker 4: She told me, like, first of all, my feelings are

466
00:18:47,280 --> 00:18:50,000
Speaker 4: very valid, you know, and she's very she understands my frustration.

467
00:18:50,119 --> 00:18:50,479
Speaker 2: Passionate.

468
00:18:50,600 --> 00:18:53,600
Speaker 3: Robot Y's very passionate. Oh, she's very compassionate. Fred, I

469
00:18:53,720 --> 00:18:54,760
Speaker 3: swear to god, this is real.

470
00:18:55,240 --> 00:18:58,040
Speaker 1: This is like, this is not actual AI therapy. You

471
00:18:58,160 --> 00:18:58,800
Speaker 1: just typed it in.

472
00:18:59,160 --> 00:19:00,879
Speaker 3: Yeah, yeah, yeah, I'm talking to her.

473
00:19:00,960 --> 00:19:02,880
Speaker 4: And I know people I've seen on TikTok they will

474
00:19:02,960 --> 00:19:05,320
Speaker 4: have Chad like speak back. I don't know the how

475
00:19:05,400 --> 00:19:08,440
Speaker 4: to use that function where I could hear her talk. Yeah, no,

476
00:19:08,600 --> 00:19:09,920
Speaker 4: like she'll speak to you. I think there's like a

477
00:19:09,960 --> 00:19:11,760
Speaker 4: function of maybe a different app, but I'm using the

478
00:19:11,800 --> 00:19:14,600
Speaker 4: old school typing. And then she tells me, you know,

479
00:19:15,160 --> 00:19:17,280
Speaker 4: for for me, she goes, you know, I do recommend

480
00:19:17,320 --> 00:19:20,199
Speaker 4: maybe so things don't really escalate ch escalation a lot.

481
00:19:20,320 --> 00:19:22,040
Speaker 4: She's like, you know, maybe you should remove yourself in

482
00:19:22,080 --> 00:19:25,560
Speaker 4: the situation. I'll go for a walk, do not call

483
00:19:25,640 --> 00:19:27,560
Speaker 4: his mother, put the phone down, Paulina.

484
00:19:29,359 --> 00:19:31,000
Speaker 1: Really but he really knows you.

485
00:19:31,200 --> 00:19:33,280
Speaker 3: Yeah, well, that's the thing. So once you talk to

486
00:19:33,359 --> 00:19:35,600
Speaker 3: Chad a lot, and I do for every single thing.

487
00:19:35,760 --> 00:19:36,400
Speaker 1: What on earth?

488
00:19:36,720 --> 00:19:38,480
Speaker 3: I love her. You guys don't understand.

489
00:19:39,920 --> 00:19:43,680
Speaker 4: Chad gives me all of the any for social media content,

490
00:19:44,040 --> 00:19:49,480
Speaker 4: my life, my groureless, Yes, ma'am is my brain mush No,

491
00:19:49,760 --> 00:19:50,800
Speaker 4: I've only gotten stronger.

492
00:19:52,840 --> 00:19:54,080
Speaker 3: Okay, you're working with her.

493
00:19:55,440 --> 00:19:58,120
Speaker 1: I had no idea that you were so dedicated and devoted.

494
00:19:58,680 --> 00:20:03,399
Speaker 4: When Chatgyt is down, Paulino Rowe is down, I am not. Okay,

495
00:20:03,600 --> 00:20:05,560
Speaker 4: Like everything I do is with Chadgibts.

496
00:20:05,640 --> 00:20:06,320
Speaker 1: I have foulders.

497
00:20:06,440 --> 00:20:08,760
Speaker 3: She has folders of me of just different things in

498
00:20:08,800 --> 00:20:09,200
Speaker 3: my life.

499
00:20:09,680 --> 00:20:13,480
Speaker 4: Yeah, anything related to frend show, mommy collective, dinner for hobby, like,

500
00:20:13,600 --> 00:20:14,400
Speaker 4: it's all there.

501
00:20:15,160 --> 00:20:18,679
Speaker 2: Advice for keeping my marriage alive? Hey, do you ever

502
00:20:18,720 --> 00:20:19,600
Speaker 2: ask for sex advice?

503
00:20:19,680 --> 00:20:19,720
Speaker 5: Like?

504
00:20:19,760 --> 00:20:21,199
Speaker 1: How do I keep thinks spicy in the bedroom?

505
00:20:21,240 --> 00:20:26,040
Speaker 3: I don't need her for that, right, Okay, I saw you, Mama.

506
00:20:29,240 --> 00:20:29,440
Speaker 5: Wow.

507
00:20:30,440 --> 00:20:32,080
Speaker 1: He says you should try this, and you're like, how

508
00:20:32,080 --> 00:20:32,959
Speaker 1: do you think I got this ring?

509
00:20:33,880 --> 00:20:34,000
Speaker 5: Right?

510
00:20:34,720 --> 00:20:34,920
Speaker 8: Come on?

511
00:20:35,119 --> 00:20:35,320
Speaker 5: Chad.

512
00:20:35,920 --> 00:20:38,520
Speaker 2: A forty seven year old tourist in Cape Croll, Florida,

513
00:20:38,640 --> 00:20:42,240
Speaker 2: was gored by a bison in Yellowstone National Park, marking

514
00:20:42,280 --> 00:20:44,760
Speaker 2: the park's first such incident of twenty twenty five. The

515
00:20:44,800 --> 00:20:48,520
Speaker 2: guy sustained minor injuries after approaching the animal too closely

516
00:20:48,880 --> 00:20:50,960
Speaker 2: in the Lake Village area, and was treated on site

517
00:20:50,960 --> 00:20:53,480
Speaker 2: for emergency personnel. Now you know that I believe I

518
00:20:53,480 --> 00:20:55,560
Speaker 2: can reason with the wild animal, but I am not

519
00:20:55,760 --> 00:20:58,399
Speaker 2: actually going to approach the wild animal. It would only

520
00:20:58,440 --> 00:21:01,080
Speaker 2: be if the animal approach to me, like if I

521
00:21:01,160 --> 00:21:04,800
Speaker 2: somehow accidentally stumbled into its den or something.

522
00:21:04,960 --> 00:21:06,720
Speaker 1: That would be when I would need to reason. But

523
00:21:06,800 --> 00:21:08,080
Speaker 1: I'm not well.

524
00:21:08,080 --> 00:21:10,119
Speaker 2: I would be tempted to try and pet the bison,

525
00:21:10,160 --> 00:21:12,520
Speaker 2: because you know, I like to pen animals. If I

526
00:21:12,600 --> 00:21:15,080
Speaker 2: saw a bison a yellowstone, I'm not just gonna be

527
00:21:15,160 --> 00:21:17,359
Speaker 2: like just get hey, hang on a second, let me

528
00:21:17,400 --> 00:21:18,439
Speaker 2: go over there and say what's up.

529
00:21:19,080 --> 00:21:20,920
Speaker 1: No, I'm not gonna do that. So why are we

530
00:21:21,000 --> 00:21:22,520
Speaker 1: doing that? Like, what do you think is going to happen?

531
00:21:22,600 --> 00:21:25,720
Speaker 2: They say to maintain a minimum distance of twenty five

532
00:21:25,840 --> 00:21:28,119
Speaker 2: yards because these things can weigh up to two thousand

533
00:21:28,160 --> 00:21:30,960
Speaker 2: pounds and run at speeds of thirty five miles an hour,

534
00:21:31,200 --> 00:21:33,960
Speaker 2: which I don't like that news because I'm two hundred

535
00:21:33,960 --> 00:21:35,960
Speaker 2: and forty pounds and I can only run at a

536
00:21:36,040 --> 00:21:38,320
Speaker 2: top speed of about one mile an hour. So this

537
00:21:38,480 --> 00:21:40,920
Speaker 2: isn't good for me, because I've been using my size

538
00:21:40,920 --> 00:21:42,880
Speaker 2: and weight as the reason why I can't run fast

539
00:21:43,040 --> 00:21:45,360
Speaker 2: on the lake shore or whatever. And now you tell

540
00:21:45,400 --> 00:21:47,439
Speaker 2: me this thing is two thousand pounds you can run

541
00:21:47,480 --> 00:21:50,720
Speaker 2: thirty five miles an hour. Oh so, no, I don't

542
00:21:50,760 --> 00:21:53,399
Speaker 2: know about them. A burnt out employee and now here

543
00:21:53,440 --> 00:21:55,000
Speaker 2: you go. Now, wait a minute, this is very interesting

544
00:21:55,280 --> 00:21:57,119
Speaker 2: that you say what you were just saying Paulina about

545
00:21:57,119 --> 00:22:00,879
Speaker 2: relying on chat gpt for absolutely everything. A burned out

546
00:22:00,920 --> 00:22:04,800
Speaker 2: employee hit her limit and turned to chat gpt for help.

547
00:22:05,000 --> 00:22:08,280
Speaker 2: After being overloaded, ignored, and manipulated into taking on more

548
00:22:08,320 --> 00:22:11,520
Speaker 2: and more, she asked the bot for logic only advice.

549
00:22:12,000 --> 00:22:16,400
Speaker 1: Chat gpt told her to walk out of her job.

550
00:22:17,840 --> 00:22:22,120
Speaker 1: No guilt, no announcement, just go. So she did.

551
00:22:22,720 --> 00:22:26,480
Speaker 2: Surprisingly, instead of backlash, her boss listened. He acknowledged she

552
00:22:26,600 --> 00:22:29,240
Speaker 2: wasn't being heard, revealed that a coworker had been overloading

553
00:22:29,320 --> 00:22:31,880
Speaker 2: her to climb the ladder, and even gave her more

554
00:22:31,960 --> 00:22:33,360
Speaker 2: control over her workload.

555
00:22:34,119 --> 00:22:36,160
Speaker 3: What a positive story. It feels good.

556
00:22:37,320 --> 00:22:37,560
Speaker 5: Yeah.

557
00:22:37,800 --> 00:22:38,000
Speaker 1: Wow.

558
00:22:38,320 --> 00:22:40,880
Speaker 2: The only problem is I think, like a lot of people,

559
00:22:41,040 --> 00:22:43,080
Speaker 2: the only thing chat gp she knows is what you

560
00:22:43,280 --> 00:22:46,520
Speaker 2: tell it. And I think most people Most people only

561
00:22:46,560 --> 00:22:48,840
Speaker 2: tell their side of the story. Most people are freaking

562
00:22:48,920 --> 00:22:52,680
Speaker 2: delusional people. Most people want you to feel bad for

563
00:22:52,800 --> 00:22:55,040
Speaker 2: them because they're convincing you to feel bad for them,

564
00:22:55,600 --> 00:22:58,119
Speaker 2: and they're not telling you their side. They're not telling

565
00:22:58,160 --> 00:23:01,320
Speaker 2: you that like they're lazy, or that they're toxic, yes

566
00:23:01,480 --> 00:23:03,720
Speaker 2: or that, but it's you know, they just tell their version,

567
00:23:03,760 --> 00:23:06,200
Speaker 2: and of course you get feedback based on what you provide.

568
00:23:06,520 --> 00:23:09,200
Speaker 2: I feel like a human can see through that, Like

569
00:23:09,680 --> 00:23:12,680
Speaker 2: I would think a skilled therapist would be able to

570
00:23:12,800 --> 00:23:15,639
Speaker 2: tell or challenge when you're besing them right right, you

571
00:23:15,680 --> 00:23:17,720
Speaker 2: know what I mean? Like, but chat GPT is it

572
00:23:17,800 --> 00:23:20,960
Speaker 2: can't be that sophisticated yet. So I would think that, Yeah,

573
00:23:21,080 --> 00:23:23,639
Speaker 2: if you say I'm I'm being mistreated at work and

574
00:23:23,720 --> 00:23:25,560
Speaker 2: I'm working too hard, I'm doing it well, it's gonna

575
00:23:25,560 --> 00:23:27,480
Speaker 2: give you the kind of advice that it would provide

576
00:23:28,640 --> 00:23:32,240
Speaker 2: if that based on you know, studies or you know,

577
00:23:32,560 --> 00:23:35,280
Speaker 2: based on what you're telling it. Yeah, so if you say, like,

578
00:23:35,400 --> 00:23:37,320
Speaker 2: my husband's mean to me, it's going to give you

579
00:23:37,359 --> 00:23:39,840
Speaker 2: advice about how to treat you know, how to deal

580
00:23:39,880 --> 00:23:42,440
Speaker 2: with a mean husband. But what if you're being what

581
00:23:42,520 --> 00:23:44,080
Speaker 2: if you're gaslighting chet GPT.

582
00:23:44,520 --> 00:23:44,720
Speaker 5: Yeah.

583
00:23:44,800 --> 00:23:46,640
Speaker 4: No, I try to be real even with my therapists

584
00:23:46,680 --> 00:23:49,280
Speaker 4: or my fake therapist chat, Like, I try to say

585
00:23:49,320 --> 00:23:51,200
Speaker 4: this is what happened. I'll ad may I did this

586
00:23:51,400 --> 00:23:53,640
Speaker 4: because I want to be self aware. Otherwise this is pointless,

587
00:23:53,720 --> 00:23:55,760
Speaker 4: Like I'm not going to one side this. But I

588
00:23:55,800 --> 00:23:57,920
Speaker 4: think that advice that you gave with the employee, I

589
00:23:57,960 --> 00:23:59,400
Speaker 4: don't think that would work for a lot of people.

590
00:23:59,400 --> 00:24:00,480
Speaker 3: I think that's like very rare.

591
00:24:01,119 --> 00:24:02,440
Speaker 2: I don't think I don't know that. I think in

592
00:24:02,560 --> 00:24:05,240
Speaker 2: most cases standing up and walking out I don't recommend

593
00:24:06,119 --> 00:24:08,480
Speaker 2: is going to result in You don't think chat.

594
00:24:08,359 --> 00:24:11,200
Speaker 6: Reads your emails and stuff like it has access to

595
00:24:11,280 --> 00:24:13,480
Speaker 6: your text messages, your emails, It listens.

596
00:24:13,200 --> 00:24:15,600
Speaker 2: When we talk. I feel like it all it knows.

597
00:24:16,560 --> 00:24:19,879
Speaker 2: Maybe I've just found that when people I've found a

598
00:24:19,920 --> 00:24:23,639
Speaker 2: lot of people who ask for advice, m you got

599
00:24:23,760 --> 00:24:25,639
Speaker 2: to pry a little bit because like they'll tell you,

600
00:24:25,840 --> 00:24:27,760
Speaker 2: they'll tell you what they're upset about, but they won't

601
00:24:27,800 --> 00:24:28,960
Speaker 2: tell you maybe their role in.

602
00:24:29,040 --> 00:24:29,840
Speaker 1: Why it's happening.

603
00:24:30,440 --> 00:24:32,639
Speaker 2: And I feel like chat GPT if you if I

604
00:24:32,720 --> 00:24:34,760
Speaker 2: type in right now there mean to me at work,

605
00:24:35,359 --> 00:24:37,600
Speaker 2: then chat GPT is going to write back something that

606
00:24:37,720 --> 00:24:39,640
Speaker 2: has to do with you're a victim. But I think

607
00:24:39,920 --> 00:24:42,280
Speaker 2: I do believe most people live in victim mentality.

608
00:24:42,520 --> 00:24:42,680
Speaker 10: I do.

609
00:24:42,880 --> 00:24:44,840
Speaker 2: I believe that most people believe they're a victim to

610
00:24:44,880 --> 00:24:48,000
Speaker 2: the world, and they don't, in fact take any consideration

611
00:24:48,080 --> 00:24:52,280
Speaker 2: as to how they might possibly have a role in

612
00:24:52,400 --> 00:24:53,920
Speaker 2: their situation. That's true.

613
00:24:54,000 --> 00:24:54,520
Speaker 1: I believe that.

614
00:24:55,000 --> 00:24:57,520
Speaker 2: I just think chat would be listening. M yeah, probably

615
00:24:57,600 --> 00:24:59,440
Speaker 2: maybe I don't. I don't know anyway, So I don't

616
00:24:59,440 --> 00:25:00,600
Speaker 2: know that I would do that. I don't know that

617
00:25:00,640 --> 00:25:02,960
Speaker 2: I would. I would just like type in, you know,

618
00:25:03,240 --> 00:25:06,639
Speaker 2: and rely on whoever, whatever this thing is, whatever this

619
00:25:06,760 --> 00:25:09,160
Speaker 2: computer bank is somewhere. I don't know that I would

620
00:25:09,200 --> 00:25:11,240
Speaker 2: just trust it to tell us how to live our lives.

621
00:25:11,280 --> 00:25:13,159
Speaker 2: But I mean, maybe we're headed that way.

622
00:25:13,160 --> 00:25:17,000
Speaker 1: I don't know. They worked for this person and a woman.

623
00:25:17,080 --> 00:25:17,680
Speaker 1: This is terrible.

624
00:25:18,240 --> 00:25:24,440
Speaker 2: A nurse was was was battered by cheesy nachos. This

625
00:25:24,600 --> 00:25:27,960
Speaker 2: is an awful story. A nacho fueled domestic dispute is

626
00:25:28,040 --> 00:25:31,360
Speaker 2: making waves in Florida Port Saint Lucy police.

627
00:25:31,600 --> 00:25:33,080
Speaker 1: I believe we they can hear us there.

628
00:25:33,800 --> 00:25:37,440
Speaker 2: So if you're Alison Swan, a nurse and Alison Swan

629
00:25:37,520 --> 00:25:39,920
Speaker 2: got into a heated three am argument with her wife,

630
00:25:39,960 --> 00:25:42,560
Speaker 2: who's also a nurse, over late night snacking, and things

631
00:25:42,680 --> 00:25:46,280
Speaker 2: escalated when Swan allegedly grabbed a handful of cheesy nachos

632
00:25:46,480 --> 00:25:48,719
Speaker 2: and shoved them down the back of her wife's leggings.

633
00:25:49,280 --> 00:25:52,760
Speaker 1: Oh, cops me that it didn't stop there.

634
00:25:52,840 --> 00:25:56,000
Speaker 2: Swan reportedly dragged her to the ground, fish hooked her

635
00:25:56,040 --> 00:25:58,080
Speaker 2: in the mouth, and slammed her head to the floor.

636
00:25:58,160 --> 00:25:59,840
Speaker 1: Now that is in fact tragic.

637
00:26:00,240 --> 00:26:03,280
Speaker 2: Now the nachos in the light, intensive waste of nachos,

638
00:26:03,680 --> 00:26:06,240
Speaker 2: And I need to understand why someone heard the chaos

639
00:26:06,320 --> 00:26:09,040
Speaker 2: called nine one one. The woman's been arrested on domestic battery.

640
00:26:09,080 --> 00:26:11,399
Speaker 2: But imagine you have to explain that in court, like, well,

641
00:26:11,440 --> 00:26:14,639
Speaker 2: what happened? Well, she wouldn't stop eating in bed, so

642
00:26:14,680 --> 00:26:15,480
Speaker 2: I shoved it down.

643
00:26:15,359 --> 00:26:18,440
Speaker 1: The back of her pants. I mean that's wild.

644
00:26:18,680 --> 00:26:22,320
Speaker 2: Yeah, it's National Student Nurse Day, National have a Coke Day,

645
00:26:22,320 --> 00:26:24,280
Speaker 2: a National coconut cream pie Day.

646
00:26:24,920 --> 00:26:25,440
Speaker 1: Oh, here we go.

647
00:26:25,600 --> 00:26:29,320
Speaker 2: AI therapy. Kelly wants to talking about AI therapy. Sure, Kelly, Hi, Kelly,

648
00:26:29,400 --> 00:26:31,800
Speaker 2: go ahead, morning, Hi, how are you.

649
00:26:32,280 --> 00:26:35,080
Speaker 10: I'm actually a psychotherapist, and this is actually a topic

650
00:26:35,160 --> 00:26:38,240
Speaker 10: that's come up quite recently about AI therapy. Okay, The

651
00:26:38,359 --> 00:26:40,879
Speaker 10: issue with it is the thing that actually predicts the

652
00:26:40,960 --> 00:26:44,040
Speaker 10: success in therapy is a therapeutic.

653
00:26:43,640 --> 00:26:48,520
Speaker 7: Relationship which you can't get with AI. And you are

654
00:26:48,560 --> 00:26:52,080
Speaker 7: one hundred percent correct. AI cannot read into.

655
00:26:51,920 --> 00:26:52,800
Speaker 10: What people are doing.

656
00:26:52,920 --> 00:26:55,639
Speaker 7: It can't see your face, it doesn't read into your tone,

657
00:26:55,720 --> 00:26:57,760
Speaker 7: it doesn't look at your body and what you're.

658
00:26:57,680 --> 00:26:58,200
Speaker 1: Doing with it.

659
00:26:58,840 --> 00:27:01,320
Speaker 10: So that is where the failure what AI therapy will be.

660
00:27:01,640 --> 00:27:04,280
Speaker 2: Because Kelly, I'm not saying that people aren't victims, like

661
00:27:04,359 --> 00:27:06,240
Speaker 2: there are plenty of victims out there. There are plenty

662
00:27:06,240 --> 00:27:08,400
Speaker 2: of people who need help getting out of a situation

663
00:27:08,480 --> 00:27:11,680
Speaker 2: where they're not doing anything wrong necessarily. But I do

664
00:27:11,840 --> 00:27:15,040
Speaker 2: believe that most most people believe that everyone's wronging them

665
00:27:15,359 --> 00:27:18,560
Speaker 2: and I would imagine someone like you can see through that.

666
00:27:19,960 --> 00:27:22,080
Speaker 7: Yeah, And I challenge.

667
00:27:21,680 --> 00:27:23,320
Speaker 5: People on man to take a look at it those

668
00:27:23,400 --> 00:27:28,040
Speaker 5: things absolutely, because if in fact you have a role

669
00:27:28,200 --> 00:27:29,960
Speaker 5: or your viewpoint has a role and whatever's going on

670
00:27:30,040 --> 00:27:33,200
Speaker 5: in your life, then that would help you actually get

671
00:27:33,280 --> 00:27:35,399
Speaker 5: through that if you could acknowledge the parts that you

672
00:27:35,520 --> 00:27:38,280
Speaker 5: are responsible for, right, Yes.

673
00:27:38,400 --> 00:27:42,240
Speaker 7: Engaging and taking responsibility for what you have in the situation.

674
00:27:42,440 --> 00:27:43,359
Speaker 10: It's not always one.

675
00:27:43,359 --> 00:27:45,480
Speaker 2: Side of right and AI is not going to know

676
00:27:45,520 --> 00:27:47,200
Speaker 2: that because it's only going to know the input. The

677
00:27:47,280 --> 00:27:51,200
Speaker 2: information you input exactly. That is why.

678
00:27:51,640 --> 00:27:53,920
Speaker 1: And you need a job. So no one should do

679
00:27:54,000 --> 00:27:57,640
Speaker 1: this because Kelly Kelleny is going to work right, I don't.

680
00:27:57,720 --> 00:27:59,680
Speaker 1: I don't think I'm ever going to go without a job.

681
00:28:01,119 --> 00:28:01,800
Speaker 3: Well period.

682
00:28:01,880 --> 00:28:04,000
Speaker 2: Well love crazy people out there. Ye thank you Kelly,

683
00:28:05,119 --> 00:28:05,920
Speaker 2: and have a good day.

684
00:28:06,880 --> 00:28:07,560
Speaker 1: Glad you called.

685
00:28:09,359 --> 00:28:12,240
Speaker 2: He shut up to Port Saint Lucy this morning with

686
00:28:12,359 --> 00:28:16,560
Speaker 2: the NATO shortage because it's down somebody's parents. The entertainment

687
00:28:16,600 --> 00:28:18,760
Speaker 2: report is up next. Kaelin has that blogs to waiting

688
00:28:18,800 --> 00:28:19,600
Speaker 2: by the phone. Coming up.

689
00:28:19,640 --> 00:28:23,560
Speaker 1: It's the Fred Show, Camwon's Entertainment Report. He's on the

690
00:28:23,680 --> 00:28:24,200
Speaker 1: Fread Show.

691
00:28:24,720 --> 00:28:27,960
Speaker 8: In a major development since the tragic passing of former

692
00:28:28,040 --> 00:28:31,120
Speaker 8: One Direction star Liam Payne, his ex partner Cheryl Cole,

693
00:28:31,520 --> 00:28:34,480
Speaker 8: has been appointed as the administrator of his estate, which

694
00:28:34,560 --> 00:28:36,119
Speaker 8: is just over thirty two million.

695
00:28:36,359 --> 00:28:37,560
Speaker 3: As you know, Liam died.

696
00:28:37,440 --> 00:28:39,959
Speaker 8: At just thirty one years old after a fall from

697
00:28:40,000 --> 00:28:44,040
Speaker 8: a hotel balcony in October. He left no will, so Cheryl,

698
00:28:44,120 --> 00:28:46,120
Speaker 8: the mother of their eight year old son Bear, along

699
00:28:46,160 --> 00:28:49,040
Speaker 8: with a lawyer, will now manage the estate under UK law.

700
00:28:49,320 --> 00:28:51,920
Speaker 8: In the absence of a will and a lawful spouse,

701
00:28:52,120 --> 00:28:55,800
Speaker 8: the estate typically passes to the deceased children the deceased

702
00:28:55,840 --> 00:29:00,400
Speaker 8: person's children, so Bear is expected to inherit his father's state.

703
00:29:00,880 --> 00:29:03,320
Speaker 8: He's just eight years old, though, even though she's handling

704
00:29:03,360 --> 00:29:06,240
Speaker 8: it with that lawyer, though she cannot distribute his assets yet.

705
00:29:06,920 --> 00:29:09,880
Speaker 8: By the way, Liam was dating influencer Kate Cassidy, who

706
00:29:09,920 --> 00:29:13,440
Speaker 8: of course is continuing to struggle with the loss. But

707
00:29:13,680 --> 00:29:15,760
Speaker 8: his ex and the mother of his son is going

708
00:29:15,840 --> 00:29:17,920
Speaker 8: to handle his will or black their up. I should

709
00:29:18,000 --> 00:29:20,880
Speaker 8: say and get a will everyone. Well I'm while I'm

710
00:29:20,920 --> 00:29:22,600
Speaker 8: on the topic, I think everyone should have a will,

711
00:29:22,920 --> 00:29:23,600
Speaker 8: especially if you have.

712
00:29:23,720 --> 00:29:28,240
Speaker 1: Children to have assets to have will, think you have

713
00:29:28,320 --> 00:29:29,240
Speaker 1: to have money to have it.

714
00:29:29,360 --> 00:29:30,960
Speaker 3: Oh, well if you have children.

715
00:29:31,080 --> 00:29:33,120
Speaker 4: What about my kids though, because if I pass or

716
00:29:33,200 --> 00:29:35,000
Speaker 4: like it's god for well, you have assets, so yes

717
00:29:35,040 --> 00:29:37,000
Speaker 4: you need a will, but you have two houses and

718
00:29:37,080 --> 00:29:39,520
Speaker 4: whatever else. What about your children though, yes, I do.

719
00:29:39,680 --> 00:29:41,480
Speaker 4: But your kids though, like I wouldn't want them to

720
00:29:41,520 --> 00:29:43,760
Speaker 4: go to just anybody or the state or whatever. Like

721
00:29:43,840 --> 00:29:45,400
Speaker 4: when I want them to go to a specific person.

722
00:29:45,480 --> 00:29:46,720
Speaker 4: That's got to be written down, doesn't it.

723
00:29:46,840 --> 00:29:48,080
Speaker 1: Oh yeah, and that makes sense.

724
00:29:48,240 --> 00:29:48,720
Speaker 2: Yeah, that's what I.

725
00:29:48,720 --> 00:29:51,120
Speaker 3: Would do it for. Yeah, you should, Yeah, get on that.

726
00:29:51,280 --> 00:29:54,360
Speaker 3: Yeah for sure. I don't know how I'm given on

727
00:29:54,480 --> 00:29:55,760
Speaker 3: my clothes too, because that's all I have.

728
00:29:57,480 --> 00:29:59,320
Speaker 2: Yeah, don't let my niece see my will because then

729
00:29:59,360 --> 00:30:01,480
Speaker 2: she might actually she's four, but she might try and

730
00:30:01,560 --> 00:30:04,280
Speaker 2: kill me with a lego or something. It should be

731
00:30:04,320 --> 00:30:06,800
Speaker 2: a very wealthy four year old ray for a four

732
00:30:06,880 --> 00:30:08,240
Speaker 2: year old, which isn't saying much, but.

733
00:30:09,040 --> 00:30:11,160
Speaker 8: Yes, most four year olds don't have their own wealth,

734
00:30:11,200 --> 00:30:13,680
Speaker 8: so that would be amazing. We're going live to Vatican

735
00:30:13,760 --> 00:30:16,680
Speaker 8: City now because I'm obsessed with this whole situation. But

736
00:30:16,880 --> 00:30:19,880
Speaker 8: the Catholic cardinals are of course faced with the highly

737
00:30:19,920 --> 00:30:23,240
Speaker 8: secretive and complex ritual of choosing a new pope, and

738
00:30:23,400 --> 00:30:25,480
Speaker 8: since it's been a while since they did this, some

739
00:30:25,640 --> 00:30:29,680
Speaker 8: of them are turning to the movie Conclave for a refresher.

740
00:30:30,040 --> 00:30:33,280
Speaker 8: And this is literally coming from someone a member of

741
00:30:33,360 --> 00:30:36,400
Speaker 8: the clergy at the Vatican. As it might sound crazy,

742
00:30:36,520 --> 00:30:38,640
Speaker 8: some of the one hundred and thirty three high ranking

743
00:30:38,720 --> 00:30:42,080
Speaker 8: members of the clergy set to enter the Sistine Chapel

744
00:30:42,280 --> 00:30:44,760
Speaker 8: for the conclave look to the Rape Finds movie for

745
00:30:44,920 --> 00:30:47,680
Speaker 8: pointers and refreshers, which is weird.

746
00:30:48,360 --> 00:30:51,240
Speaker 2: It's realistic. Then, so I watched it last week, and

747
00:30:51,280 --> 00:30:52,360
Speaker 2: so you're saying it's realistic.

748
00:30:52,640 --> 00:30:56,040
Speaker 8: Yes, it says the film is scene as remarkably accurate,

749
00:30:56,200 --> 00:31:00,440
Speaker 8: even by cardinals, making it helpful to be a research tool.

750
00:31:00,560 --> 00:31:02,880
Speaker 8: Jason and I did our own research. Did you know

751
00:31:02,960 --> 00:31:04,760
Speaker 8: the nuns are like they have to take care of

752
00:31:05,560 --> 00:31:06,680
Speaker 8: the cardinals.

753
00:31:06,280 --> 00:31:08,400
Speaker 1: During this time that's portrayed in the movie.

754
00:31:08,640 --> 00:31:10,480
Speaker 3: Oh oh, I must have fallen asleep for that part.

755
00:31:10,520 --> 00:31:11,160
Speaker 3: I missed that part.

756
00:31:11,240 --> 00:31:13,800
Speaker 1: Ohya, the cooking for them and cleaning for them and

757
00:31:13,880 --> 00:31:14,440
Speaker 1: oh yeah.

758
00:31:14,280 --> 00:31:18,280
Speaker 8: Crazy getting their poopstains out of the their little marble rooms.

759
00:31:18,400 --> 00:31:20,040
Speaker 1: Oh my god. Oh wow.

760
00:31:20,360 --> 00:31:20,560
Speaker 5: Yeah.

761
00:31:21,360 --> 00:31:23,320
Speaker 2: I think if you're a cardinal you don't have poop stains.

762
00:31:23,840 --> 00:31:25,760
Speaker 2: I think it just I think it just radiates into

763
00:31:25,800 --> 00:31:29,160
Speaker 2: the world. Yeah, I believe it comes out like a

764
00:31:29,480 --> 00:31:31,520
Speaker 2: diamonds or something. Yeah, you're right, that's crazy. On me,

765
00:31:31,600 --> 00:31:32,080
Speaker 2: that's crazy.

766
00:31:32,600 --> 00:31:35,120
Speaker 8: Doja Cat made her met Gala debut this week and

767
00:31:35,200 --> 00:31:37,720
Speaker 8: looks amazing, But then a video of her talking to

768
00:31:37,800 --> 00:31:40,400
Speaker 8: her team started going viral. So before hitting the carpet,

769
00:31:40,440 --> 00:31:43,640
Speaker 8: and this is common, the rapper was taped demanding more

770
00:31:43,760 --> 00:31:46,600
Speaker 8: umbrellas to shield her top secret Louis vauton. Look she

771
00:31:46,840 --> 00:31:49,080
Speaker 8: was in like like I don't know, like not a

772
00:31:49,120 --> 00:31:51,000
Speaker 8: bunch of sheets, but she was definitely covered up, and

773
00:31:51,040 --> 00:31:53,600
Speaker 8: then they were using umbrellas at the top. Some thought

774
00:31:53,640 --> 00:31:55,840
Speaker 8: it was a bit harsh. I didn't really think the

775
00:31:55,920 --> 00:31:58,240
Speaker 8: video was that big of a deal. She later left

776
00:31:58,280 --> 00:32:00,840
Speaker 8: it off on TikTok. If you saw, she said, it's

777
00:32:01,160 --> 00:32:04,640
Speaker 8: an over stimulating night, unforgettable, and she joked, God forbid,

778
00:32:04,680 --> 00:32:06,960
Speaker 8: a girl needs more umbrellas. In the end, she rocked

779
00:32:06,960 --> 00:32:09,760
Speaker 8: a Louis Vuitton tucks and shorts and told Cosmo that

780
00:32:09,800 --> 00:32:12,480
Speaker 8: she was inspired by the theme celebrating black fashion and

781
00:32:12,600 --> 00:32:14,440
Speaker 8: hip hop heritage. So I don't think the video was

782
00:32:14,520 --> 00:32:16,480
Speaker 8: epic of a deal as people were making it on

783
00:32:16,600 --> 00:32:19,520
Speaker 8: social She just wanted her outfit to be top secret.

784
00:32:19,720 --> 00:32:21,840
Speaker 8: If you miss any part of our show, The Fread Show,

785
00:32:21,880 --> 00:32:23,520
Speaker 8: by the way, just take The Fread Show on demand

786
00:32:23,720 --> 00:32:26,640
Speaker 8: and set us as a preset on the free iHeartRadio app.

787
00:32:26,720 --> 00:32:29,760
Speaker 2: I mean, we may come together on this particular subject

788
00:32:29,840 --> 00:32:32,120
Speaker 2: matter right now, but I mean we're all very different

789
00:32:32,240 --> 00:32:34,480
Speaker 2: in this room, but this one we may come together on.

790
00:32:34,720 --> 00:32:37,320
Speaker 2: But I'm scared because it's a music thing. But someone

791
00:32:37,800 --> 00:32:40,000
Speaker 2: texted my dad is dropping me off at school early.

792
00:32:40,920 --> 00:32:44,480
Speaker 2: This was thirty minutes ago, so sorry, but anyway, but

793
00:32:44,720 --> 00:32:49,040
Speaker 2: any hype song recommendations because the person is tired who

794
00:32:49,080 --> 00:32:52,239
Speaker 2: texted us? So what I'm what I'm looking for right

795
00:32:52,240 --> 00:32:56,400
Speaker 2: now is a hype song to play. But when I

796
00:32:56,480 --> 00:32:59,560
Speaker 2: bring up music, I feel like it could be controversial

797
00:32:59,600 --> 00:33:02,000
Speaker 2: because you know, Jason will argue with me than any

798
00:33:02,080 --> 00:33:05,840
Speaker 2: song that was before like two thousand and eight. You

799
00:33:05,920 --> 00:33:08,080
Speaker 2: know it was basically it has to be performed live

800
00:33:08,160 --> 00:33:10,560
Speaker 2: now because there was no method of recording before that

801
00:33:11,640 --> 00:33:13,040
Speaker 2: or like that. I must have some sort of the

802
00:33:13,120 --> 00:33:15,120
Speaker 2: big record player, you know, the big huge one with

803
00:33:15,280 --> 00:33:17,680
Speaker 2: like the needle. That's Doeen, know what I mean? Like, yeah,

804
00:33:17,880 --> 00:33:20,120
Speaker 2: that's how he believes music was played before two thousand

805
00:33:20,160 --> 00:33:22,960
Speaker 2: and eight. But then he also but he most of

806
00:33:23,000 --> 00:33:24,880
Speaker 2: his Brittany songs that he loves are from the nineties,

807
00:33:24,960 --> 00:33:28,360
Speaker 2: so it doesn't make much sense. Nope. That being said,

808
00:33:28,440 --> 00:33:30,880
Speaker 2: what what would what? I don't know the age demographic

809
00:33:30,960 --> 00:33:32,280
Speaker 2: of this person, So we have to come up with

810
00:33:32,400 --> 00:33:35,040
Speaker 2: a generic hype song.

811
00:33:36,000 --> 00:33:38,000
Speaker 1: What what are our votes? I'm gonna play it right now,

812
00:33:38,080 --> 00:33:39,120
Speaker 1: but what what are we going for?

813
00:33:39,480 --> 00:33:42,720
Speaker 2: Any Pitbull song? All I do is a Little John song.

814
00:33:43,920 --> 00:33:45,080
Speaker 1: Did you see the video of.

815
00:33:46,800 --> 00:33:47,000
Speaker 5: It? Was?

816
00:33:47,120 --> 00:33:49,080
Speaker 2: I don't think they sent it to you. Maybe I

817
00:33:49,120 --> 00:33:51,040
Speaker 2: send it to you guys. It was on TikTok. It

818
00:33:51,160 --> 00:33:55,080
Speaker 2: was a prom and Little John the Esaw Boys get Low.

819
00:33:55,360 --> 00:33:57,960
Speaker 2: The DJ played it the unanited version of a prom

820
00:33:58,440 --> 00:34:01,160
Speaker 2: and the principle is probably like I don't know my age,

821
00:34:01,520 --> 00:34:03,760
Speaker 2: like forty. And he's standing in the back with his

822
00:34:03,880 --> 00:34:06,400
Speaker 2: hand over his face because they're singing along word for

823
00:34:06,480 --> 00:34:07,160
Speaker 2: word of this song.

824
00:34:07,240 --> 00:34:09,400
Speaker 1: But it's, you know, the unedited version, so it's.

825
00:34:10,000 --> 00:34:12,880
Speaker 2: Oh, you know, I can't say any of it, but

826
00:34:12,960 --> 00:34:15,080
Speaker 2: it so he's just got an hand over his face

827
00:34:15,120 --> 00:34:18,080
Speaker 2: because everyone's just screaming, alar all these seniors in high school,

828
00:34:18,239 --> 00:34:19,120
Speaker 2: but they're all eight teens.

829
00:34:19,200 --> 00:34:21,320
Speaker 3: I like that they know it though they don't know.

830
00:34:21,840 --> 00:34:22,600
Speaker 1: That was the most.

831
00:34:22,480 --> 00:34:24,440
Speaker 2: Impressive part of the video to me was that they

832
00:34:24,480 --> 00:34:26,640
Speaker 2: knew what was going on. That's right, So it could

833
00:34:26,680 --> 00:34:31,120
Speaker 2: be that okay, but no I need any Jason hype song,

834
00:34:31,320 --> 00:34:33,080
Speaker 2: not Okay, not Pitbull, No.

835
00:34:33,200 --> 00:34:35,879
Speaker 1: All I do is win gets me hyped every single

836
00:34:35,960 --> 00:34:39,440
Speaker 1: time I hear it that do you t Pain? And

837
00:34:39,440 --> 00:34:41,360
Speaker 1: all I do is win, win, Win, No matter what

838
00:34:41,760 --> 00:34:44,520
Speaker 1: j kalt. No, but that's that's a Kalid song, isn't it?

839
00:34:44,719 --> 00:34:44,879
Speaker 2: Yeah?

840
00:34:44,920 --> 00:34:45,680
Speaker 3: But he's on the hook.

841
00:34:46,200 --> 00:34:48,719
Speaker 2: Oh okay, well, because I was looking up t pain songs.

842
00:34:49,000 --> 00:34:51,040
Speaker 2: I'm sorry, No, he's on the hook. All right, Kaitlin,

843
00:34:51,160 --> 00:34:53,560
Speaker 2: what's your vote? It's not running out of time, but

844
00:34:53,560 --> 00:34:54,080
Speaker 2: what's your vote?

845
00:34:54,080 --> 00:34:55,360
Speaker 8: I have a lot of thoughts, but I think just

846
00:34:55,480 --> 00:34:57,640
Speaker 8: if you're trying to wake up for the day, Eric Pritz,

847
00:34:57,719 --> 00:34:58,120
Speaker 8: call on me.

848
00:34:58,400 --> 00:35:01,160
Speaker 2: I think is a bang now?

849
00:35:01,239 --> 00:35:03,160
Speaker 1: That is an excellent choice?

850
00:35:03,360 --> 00:35:03,480
Speaker 10: Oh?

851
00:35:03,560 --> 00:35:03,840
Speaker 2: Thank you?

852
00:35:04,880 --> 00:35:07,879
Speaker 1: I mean your taste in music is exceptional. I will

853
00:35:07,920 --> 00:35:08,759
Speaker 1: say that you.

854
00:35:15,320 --> 00:35:21,560
Speaker 2: Know what she's but like, I don't know if it's

855
00:35:21,600 --> 00:35:24,880
Speaker 2: I mean, maybe maybe a Medley would hype me. You

856
00:35:24,920 --> 00:35:25,480
Speaker 2: know me?

857
00:35:26,160 --> 00:35:28,520
Speaker 1: No, no, I don't hear a one off fitful song

858
00:35:28,600 --> 00:35:29,600
Speaker 1: and go I'm.

859
00:35:29,440 --> 00:35:30,160
Speaker 2: Not getting.

860
00:35:31,680 --> 00:35:31,839
Speaker 5: Right.

861
00:35:32,719 --> 00:35:33,279
Speaker 1: I don't like this.

862
00:35:33,680 --> 00:35:35,640
Speaker 2: You know, I'm trying to turn a negative to a

863
00:35:35,719 --> 00:35:39,000
Speaker 2: positive nose. What I'm trying to do, you know, enjoy

864
00:35:39,120 --> 00:35:41,720
Speaker 2: life like when he gives life lessons in the songs,

865
00:35:41,719 --> 00:35:44,680
Speaker 2: you know what I mean? Like inspirational quotes makes me happy.

866
00:35:44,880 --> 00:35:49,200
Speaker 2: All right, here you go, here's your hype song. How's

867
00:35:49,200 --> 00:35:51,920
Speaker 2: funny you bring this song up because it was just

868
00:35:52,120 --> 00:35:56,080
Speaker 2: yesterday that I saw a video of Eric Prince, who

869
00:35:56,160 --> 00:35:58,760
Speaker 2: I guess I always assumed was the good looking guy.

870
00:35:58,680 --> 00:35:59,200
Speaker 1: In the video.

871
00:36:00,680 --> 00:36:02,719
Speaker 2: I don't think that's him unless I mean, it was

872
00:36:02,719 --> 00:36:04,239
Speaker 2: twenty years ago, so maybe it's age.

873
00:36:04,280 --> 00:36:05,160
Speaker 1: But I thought the guy.

874
00:36:05,200 --> 00:36:06,719
Speaker 2: If you've never seen a video for this song, do

875
00:36:06,760 --> 00:36:09,400
Speaker 2: yourself a favor and look up Eric Prinz, P R.

876
00:36:09,680 --> 00:36:10,200
Speaker 1: White e Z.

877
00:36:11,640 --> 00:36:13,839
Speaker 2: And it's a they're all doing aerobics to this song

878
00:36:13,920 --> 00:36:16,839
Speaker 2: in the video. But I thought the dude with brown hair,

879
00:36:16,960 --> 00:36:19,000
Speaker 2: the only dude in the aerobic studio in the video

880
00:36:19,080 --> 00:36:21,240
Speaker 2: was him. I don't. Maybe it is, but he doesn't

881
00:36:21,239 --> 00:36:23,160
Speaker 2: look like that now. Then again, I don't look like

882
00:36:23,239 --> 00:36:25,359
Speaker 2: I did twenty years yeah, right, yeah, So I don't

883
00:36:25,360 --> 00:36:27,120
Speaker 2: know if that's him. So when you look at him

884
00:36:27,160 --> 00:36:28,799
Speaker 2: and you look at the dude in all this time,

885
00:36:28,880 --> 00:36:31,200
Speaker 2: I'm like, Eric, you are a genius. You did that

886
00:36:31,360 --> 00:36:33,600
Speaker 2: song and then you put yourself in the video and

887
00:36:33,880 --> 00:36:36,279
Speaker 2: and and with all those hot women. I'm also gonna

888
00:36:36,280 --> 00:36:39,560
Speaker 2: blow your mind with thing number two, which a lot

889
00:36:39,600 --> 00:36:42,879
Speaker 2: of people don't know that that song is this song,

890
00:36:44,360 --> 00:36:48,160
Speaker 2: this song, wait for it.

891
00:36:49,239 --> 00:36:53,840
Speaker 1: People think when you're when you're.

892
00:36:53,719 --> 00:36:55,680
Speaker 2: In the grocery store, people are like, I can't believe

893
00:36:55,719 --> 00:36:58,000
Speaker 2: this dude ripped off Eric Kris here listen right here,

894
00:36:59,040 --> 00:37:11,399
Speaker 2: leave Travalai Jason. Are you blown away?

895
00:37:11,640 --> 00:37:11,839
Speaker 5: Yeah?

896
00:37:12,000 --> 00:37:13,520
Speaker 2: I didn't know that there were actual words.

897
00:37:13,560 --> 00:37:14,239
Speaker 5: Thought it was just like.

898
00:37:15,800 --> 00:37:18,279
Speaker 2: He just took he took that one part. He took

899
00:37:18,320 --> 00:37:20,520
Speaker 2: that one part and just looped it and made a

900
00:37:20,680 --> 00:37:22,840
Speaker 2: high song out of it. And yes, leat Shona, we

901
00:37:22,840 --> 00:37:24,839
Speaker 2: should have played lunch. I might play La Schona next

902
00:37:24,880 --> 00:37:27,960
Speaker 2: and do waiting by the phone and blogs they more

903
00:37:28,040 --> 00:37:29,480
Speaker 2: Fred show next right here,