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Speaker 1: This is Rover's Morning Glory.

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Speaker 2: Rover more serious, though, Doug It's only gonna get worse.

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Speaker 1: Charley, what a pitch here? B Jeffrey, my grievous? Or

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Speaker 1: they're good screaming on Rover Radio dot Com. Rovers Morning

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Speaker 1: Glory starts now. Good morning, what's happening?

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Speaker 3: It is Wednesday, March twenty fifth, twenty twenty six. Good morning,

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Speaker 3: It's Rover's Morning Glory. I'm Rover. Dougie is here.

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Speaker 1: Good morning, sir, Charlie is here, Hi, Snitzer is here, Amen,

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Speaker 1: Crystal is here. Hello, and mister Jeffrey Allen, lar Rock

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Speaker 1: is in the fart box. Larok. But yo yo, you

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Speaker 1: were with us as well.

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Speaker 3: Eight six six you're over eight six six nine sixty

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Speaker 3: seven sixt' eighty three seven.

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Speaker 1: That's how you reach the show. Give us a call

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Speaker 1: at that number you get text us at that number

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Speaker 1: that comes into the studio in real time. You can

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Speaker 1: make a video call.

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Speaker 3: Just send the word menu to that same number, or

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Speaker 3: use the Rover Radio app download it to your phone

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Speaker 3: to make a video call. We'll get to your email

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Speaker 3: here in just a moment. We have a lot to

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Speaker 3: discuss today.

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Speaker 1: I was a little bit sleepy. I have to admit

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Speaker 1: it's up a little bit late last night. More mescal No,

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Speaker 1: oh man, that was no, no, this was this was

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Speaker 1: police activity in the area. I don't know what you do. No,

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Speaker 1: not me, Charlie. There was and I was in bed.

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Speaker 1: I was just about ready to turn off the TV.

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Speaker 1: It was probably I don't know what time it was.

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Speaker 1: I would say twelve thirty in the morning roughly. And

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Speaker 1: then I heard it as siren go by. Now that

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Speaker 1: is the soundtrack to Miami Beach. Is a siren going by?

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Speaker 3: I mean you almost like if there is no siren,

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Speaker 3: you go, what's going on in the what's going on

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Speaker 3: in the world? Something weirdest happening in another lockdown or

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Speaker 3: something that's yeah, whoa, I don't like this. And then

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Speaker 3: I hear another one and another one right.

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Speaker 1: By bankruptcy box, and then another one and another one,

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Speaker 1: and another one and another one. So at that point

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Speaker 1: all the shades are down. I go, I have to

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Speaker 1: let me get up and see what's going on out there.

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Speaker 1: I get up, and there must have been I would say,

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Speaker 1: I over thirty cop cars. It's a lot of cop cars.

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Speaker 1: Over thirty cop cars were down there all the guys,

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Speaker 1: all the cops and ladies too. I don't want to discriminate.

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Speaker 1: They all had their guns, drawn, shotguns, rifles, you name it. Well, oh,

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Speaker 1: I forgot I guess I left this part out of

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Speaker 1: the story. I will remember the time that I had

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Speaker 1: I saw people having sex. I said, you know what

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Speaker 1: I need.

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Speaker 3: I need a good pair of high powered binochy Yeah,

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Speaker 3: so I have. I have some really cool binoculars that

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Speaker 3: I got. Binoculars that I got, and I think they're

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Speaker 3: I don't know if they're ten X or twenty X.

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Speaker 3: They might be twenty X. I think they're twenty X.

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Speaker 3: They're really they're they're pretty. They're the biggest binoculars that

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Speaker 3: you could get without having to to like they have.

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Speaker 3: They have like some ridiculous ones that are really really long,

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Speaker 3: but you need to like put them on like a

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Speaker 3: tripod or something. At that point, just get a telescope,

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Speaker 3: but you have to these these you can just hold

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Speaker 3: normally anyway. So I was looking with through those and

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Speaker 3: I could see they had two cars that they then

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Speaker 3: pulled over and they were taking the people out of there,

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Speaker 3: you know, like directing them to come out with their

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Speaker 3: hands up, walk backwards for the thing, and then they

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Speaker 3: would arrest them and they and then they were launching

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Speaker 3: their drone. They had the drone up for good thirty

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Speaker 3: minutes or so, at least probably longer, and then an

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Speaker 3: ambulance came. So, I I'm assuming somebody got shot.

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Speaker 1: I mean, I have no idea. We'll find out, I

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Speaker 1: guess in the news or something. But did you check

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Speaker 1: the news this morning. I didn't see anything. But you know,

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Speaker 1: I don't know if just somebody getting shot would be

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Speaker 1: cause you know, that's like a it's a back page

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Speaker 1: story here. Yeah, yeah, I mean this is.

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Speaker 3: People living in Iran are like, maybe we should move

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Speaker 3: to Miami Beach now. It's too dangerous. Let's just stay here.

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Speaker 3: So I don't know what was going on, but I was,

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Speaker 3: I was. I was enthralled by this for quite a while.

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Speaker 3: So I don't think I went to bed until this

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Speaker 3: went on and on. I mean, this was, this was,

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Speaker 3: this was. I don't think I got into bed until

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Speaker 3: two o'clock in the morning. I mean, just watching with

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Speaker 3: the binoculars.

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Speaker 1: Oh man, there's a lot of activity going on out there.

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Speaker 1: Does anything happen, because I'll get I'll find myself doing

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Speaker 1: that too. You're like, something that's going to happen. Then

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Speaker 1: I don't hear anything about it. You go, wait, a

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Speaker 1: false alarm? Huh, But like nothing, did anything actually interesting

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Speaker 1: happen that you saw? Was it kind of all over

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Speaker 1: by the time he looks whatever was going on, it

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Speaker 1: was definitely over by the time that I looked. I mean,

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Speaker 1: as far as whatever the particular incident time was, I

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Speaker 1: guess the only thing interesting that I saw was the

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Speaker 1: people getting removed from the car one at a time,

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Speaker 1: and then then the cops. The one guy got out

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Speaker 1: of his I mean, he looked like, he looked like

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Speaker 1: a young kid eighteen, nineteen twenty and he gets out.

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Speaker 3: I mean, this whole thing is going on. I don't

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Speaker 3: know how many cops, it's just an incredible number. So

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Speaker 3: he was a passenger in one of the cars. They

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Speaker 3: have him get out.

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Speaker 1: He gets out, his hands up and in his hand

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Speaker 1: he has a cell phone, and then they must I'm like,

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Speaker 1: why is this guy holding a cell phone? Like, just

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Speaker 1: what a bad move that is. I get it. If

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Speaker 1: you're like in a normal traffic stop, you.

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Speaker 3: Would get out of your car or not, like you

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Speaker 3: know whatever, you're just holding your cell phone. But there's

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Speaker 3: literally like fifty cops with their guns pointed at you.

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Speaker 3: Why would you have anything in your hands at all

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Speaker 3: that would just make a trigger happy cop have any

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Speaker 3: sort of confusion, right, And so then they must have

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Speaker 3: said something to him because he then just threw his

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Speaker 3: cell phone into the car because the door was open,

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Speaker 3: so he just kind of.

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Speaker 1: Threw it in there.

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Speaker 3: And then and then they never searched the cars that

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Speaker 3: I saw. The trunks were open, but I wonder if

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Speaker 3: they I didn't see them do an exhaustive search, so

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Speaker 3: I don't know if perhaps they were waiting around to

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Speaker 3: get a search warrant for the cars.

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Speaker 1: I don't know. Who knows. Here's you last night? Yeah?

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Speaker 3: Yeah, like the old Hitchcock movie, that's me. Actually I

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Speaker 3: looked worse because I just had shirtless jama bottoms on

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Speaker 3: and no shirt. So anybody looking back at me is

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Speaker 3: just gonna be to see a big, fat, shirtless guy

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Speaker 3: with binoculars staring.

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Speaker 4: Out the window something binoculars across the way looking at you.

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Speaker 3: Yeah, yeah, uh will watching me? So I don't know,

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Speaker 3: we'll see what happened. I'm sure it must have been something.

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Speaker 1: Who knows, but again, it's it could be uh, pretty broutine,

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Speaker 1: I guess, but it was a lot of cops that

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Speaker 1: were out there, a lot of cops. Craig Rights, Good morning, Rover.

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Speaker 3: I was trying to call on yesterday when you were

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Speaker 3: talking about the TV show V You forgot about the

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Speaker 3: best episode of the series. One of the lizard aliens

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Speaker 3: got an earth girl pregnant and she had twins, one

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Speaker 3: lizard baby who died and one human baby. But then

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Speaker 3: the human baby had a lizard tongue who ages five

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Speaker 3: years in four episodes. PS, don't forget to stay hydrated. Yeah,

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Speaker 3: I do remember that because she gets knocked up by

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Speaker 3: the alien and He's right, I forgot there were twins.

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Speaker 3: One was a lizard baby, I guess.

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Speaker 1: And then and then at the I do remember the

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Speaker 1: actual scene. This is so long ago because I remember

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Speaker 1: like they're looking at the baby and they're like, oh

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Speaker 1: my god, this is so you know, oh these normal,

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Speaker 1: Oh thank god he's a human baby. Oh this is great.

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Speaker 1: And then and then right at the very spoiler alert

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Speaker 1: for a mini series on TV that's from forty years ago.

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Speaker 1: But uh, then right at the very end, the baby

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Speaker 1: like they have like a close up of it, like

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Speaker 1: the mother holding the baby. Oh, here it is, I

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Speaker 1: have no audio.

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Speaker 5: It's pretty Coopers Club comes up.

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Speaker 1: Well that's your baby. Come on, No, I'm not with

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Speaker 1: a lizard tongue.

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Speaker 3: I think Robert Angel and Freddy Krueger is the guy

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Speaker 3: who knocked up this this girl.

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Speaker 6: Is this the only acting he's ever done besides did

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Speaker 6: he just stay in Freddy Krueger and that's all he did?

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Speaker 1: Or did he do other things? A few other things,

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Speaker 1: but he's not really known for anything other than Freddy Krueger.

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Speaker 5: Can I say that you guys were talking about the

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Speaker 5: old TV shows?

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Speaker 4: Yes?

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Speaker 5: Say, I was kind of listening again and you got

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Speaker 5: we're talking about one of my other favorite shows.

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Speaker 1: I think you recognize this theme. Yes, good American Hero Great.

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Speaker 5: I used to love this theme. I used to love

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Speaker 5: this show because the only thing the only two cast.

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Speaker 1: Members I think I can talk on top of the

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Speaker 1: shot up in somebody.

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Speaker 6: Sing it Jeffrey, you never.

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Speaker 1: So free fun jeff that you're an I haven't see

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Speaker 1: so many times I've never heard right there you go

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Speaker 1: theme song from that. I just vaguely remember that show.

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Speaker 1: I do remember this story. William can't sea.

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Speaker 5: Robert Kulp, who played the FBI agent and William Cant

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Speaker 5: played the main character.

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Speaker 1: The guy that gid that the guy loses.

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Speaker 5: He gives his the salienship gives him a super suit,

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Speaker 5: but guess what he loses the instruction book how to

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Speaker 5: use it. So yeah, so throughout the series he learns

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Speaker 5: all all everything what the suit can do.

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Speaker 1: My dad liked that. Connie selica chick. Oh she was

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Speaker 1: a smoke show. That was She was a smoke show

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Speaker 1: for eighties. George, I must be out all right, pick

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Speaker 1: up the phone? Where good? I not on that hole? Uh,

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Speaker 1: he says, we're over. You got to get an app

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Speaker 1: called crime Radar, especially for down in Miami, and oh

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Speaker 1: I have one that would have told you everything was

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Speaker 1: going on. You have it different app. I downloaded the

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Speaker 1: citizen app. That's it. There was somebody that had recorded

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Speaker 1: a video. Well, they usually tell you what give you

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Speaker 1: an idea of what's going on? Like does it didn't

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Speaker 1: say anything you can click on the map. No, No,

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Speaker 1: he had no idea what was going on. He was

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Speaker 1: walking around and because like five hours, what's going on

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Speaker 1: a lot of cops here? That was his Uh, that

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Speaker 1: was his report. Here is somebody this looks very similar

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Speaker 1: to the citizen app. She sent a screen grab of

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Speaker 1: crime Radar which shows my mppach year and I hang

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Speaker 1: on sticks grab it and here's Yeah, it's a lot

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Speaker 1: of crime.

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Speaker 6: Current that's all in your vicinity.

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Speaker 1: Well, I don't know if that's in a I don't

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Speaker 1: know if that's in an hour, one day, one week,

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Speaker 1: one month. I couldn't tell you. But I mean it's.

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Speaker 3: Really actually probably under representing the amount of crime.

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Speaker 6: But and what's the numbers, like if it's two or six.

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Speaker 1: How many times crimes have happened there? Oh, so you

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Speaker 1: zoom in, you'll see more of those. Yeah, really yeah,

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Speaker 1: orange dots? Where what what's this? What's the eight? There's

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Speaker 1: eight crimes?

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Speaker 7: Like?

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Speaker 1: Where is that? I you know, that's interesting because I, oh,

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Speaker 1: I think that is a Yeah, I don't know exactly

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Speaker 1: what that that's I don't know. There's like a car

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Speaker 1: wash up there and stuff. I don't know why why

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Speaker 1: the car wash is a crime.

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Speaker 3: They're the one that I went through the car wash

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Speaker 3: and then it popped something out of my car and

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Speaker 3: then the guy, the guy goes, oh, no, it wasn't

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Speaker 3: our car wash that did that.

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Speaker 1: I've been doing this for fifteen years. I've never had

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Speaker 1: a problem like that. I'm like, it's impossible that you

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Speaker 1: run a car wash for fifteen years and you never

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Speaker 1: had any damage to a car. Don't be ridiculous that

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Speaker 1: this happens every day, dumbass. Oh let's see, where was

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Speaker 1: I carl Heights. The other day, I heard Charlie talking

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Speaker 1: about the show Neighbors on HBO. I originally watched the

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Speaker 1: first two episodes and kind of forgot about it. I

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Speaker 1: heard Charlie talking about how the last episode was the

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Speaker 1: best episode, so I put it on for my wife

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Speaker 1: to watch after our son went to bed. Thank you

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Speaker 1: so much for the recommendation. I highly recommend everyone watched this,

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Speaker 1: preferably with family around. Yeah, and although there's some swearing,

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Speaker 1: so it may not be suitable for childer and I

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Speaker 1: watched it on my VC box, So Jeffery should watch

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Speaker 1: it with Mary Elizabeth. It has all of her favorite

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Speaker 1: things throughout the entire episode, so he skipped right to the.

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Speaker 3: Self contained there they don't. But like, I only watched

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Speaker 3: episode one, and I was expecting that there was going

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Speaker 3: to be some sort of resolution.

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Speaker 1: Oh no, no, When that guy, the mediator comes out

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Speaker 1: on his motorcycle and they just start screaming at each other,

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Speaker 1: and the guy's actually like, really cool about it. It's

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Speaker 1: so good, you know bike.

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Speaker 3: Yeah, but it's also his first mediation ever, So why

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Speaker 3: would you send that guy out there metigate this. But

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Speaker 3: maybe they'll do a follow up, maybe they'll have another

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Speaker 3: season and it will be resolutions of some of these things.

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Speaker 1: I don't think a lot of those will have any

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Speaker 1: resolutions violence. Yeah, well I guess that point. Yeah, just

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Speaker 1: to that where they're going to shoot each other.

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Speaker 3: Donnie writes, I just wanted to say how much I

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Speaker 3: love the show.

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Speaker 1: I listen every day. I never miss I feel like

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Speaker 1: you get a lot of hate and BS from fans.

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Speaker 1: I've even been guilty of it.

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Speaker 3: But I hope you know how many people have their

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Speaker 3: day brightened by you guys. Love you all except Crystal.

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Speaker 3: I love that.

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Speaker 1: That is interesting that he's like, you know, I know

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Speaker 1: you guys put up with a lot of BS. I've

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Speaker 1: even done it sometimes. I'm sorry about that. Love you

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Speaker 1: all except for Crystal. Hate her?

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Speaker 6: I say that, don't say, hey, how can this guy

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Speaker 6: hate Crystal?

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Speaker 1: But yeah, I don't know either.

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Speaker 2: He would have just left that line off. You have

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Speaker 2: to storry. I still I still have love for you

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Speaker 2: at my heart.

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Speaker 1: PS.

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Speaker 3: I've noticed that Crystal has been taking shots at JLR,

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Speaker 3: like calling him dumb, saying there's nothing in his head

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Speaker 3: to protect? Does she not know if it wasn't for JLR,

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Speaker 3: she would be the idiot of the show.

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Speaker 1: That's true.

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Speaker 3: Now when Jeffrey turns on his microphone, I'm hearing almost

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Speaker 3: like a jet engine sound. Is that them drying out

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Speaker 3: the flooded kitchen outside the rock.

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Speaker 1: Because the coffee machine in the kitchen. I went there

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Speaker 1: to see what was going on.

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Speaker 5: I said, obviously, all these drivers is in the one

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Speaker 5: of the offices, like Teddy's office, in the office next

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Speaker 5: to it, in the office next to that one those

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Speaker 5: three offices, and the coffee machine looks like it's been removed.

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Speaker 1: Oh no, no, what are you gonna do with it?

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Speaker 1: Do you want to do some of the I have not.

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Speaker 1: I've not had any out of my coffee? You want to?

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Speaker 1: I know things?

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Speaker 2: Do ye?

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Speaker 1: I'm good? Oh? Is there a managers went all the

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Speaker 1: way to their offices.

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Speaker 6: Yeah, because it went underneath that wall right there.

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Speaker 1: Oh man, you know, we'll see how well this works.

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Speaker 1: So they're not going to have to cut into this

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Speaker 1: drywall or anything. Huh, I got it fast enough. And

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Speaker 1: they have all these industrial fans and blowers and things.

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Speaker 1: I will say that these companies that come in and

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Speaker 1: they do the I you know, the after the there's

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Speaker 1: the company. I think it's called Paul Davis. Anyways, they

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Speaker 1: do do. Most of these companies, they do do a

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Speaker 1: good job of like getting things kind of pretty much

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Speaker 1: like back to normal, believe it or not. I think

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Speaker 1: they charge an arm or a leg, and insurance normally

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Speaker 1: pays us. I hate to do this. One time my

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Speaker 1: basement flooded out and same thing. Uh johann Right, good morning, Rover.

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Speaker 3: Listening to your show this past couple of days, I

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Speaker 3: have to say something. Your problem in life is thinking

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Speaker 3: we are in the future. You buy all this futuristic

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Speaker 3: stuff from your car to your houses, from Ohio to Miami.

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Speaker 1: We are not in the future yet until there are

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Speaker 1: flying cars and we live like the jets, and stop

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Speaker 1: buying all this space age crap until it's perfected many

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Speaker 1: years from now. Your stupid sinks, disappearing walls, automatic window shades, lights, lawnmowers,

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Speaker 1: electric cars. I think B two causes all these problems

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Speaker 1: for you. She never goes out of the house and

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Speaker 1: watches this crap on the computer all day like yourself.

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Speaker 3: Do you both are so weird? Have you walked across

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Speaker 3: the street to the beach yet this year?

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Speaker 7: No?

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Speaker 3: You bought a place there for what to stay inside

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Speaker 3: all day the air conditioning in order to takeout because

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Speaker 3: your wife won't cook.

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Speaker 1: Reevaluate your life.

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Speaker 3: Decisions, take your shoes off once in a while, get

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Speaker 3: your feet dirty. Living in a plastic bubble must be miserable.

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Speaker 3: I hope you the best.

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Speaker 1: Love the show the show. Wait, I sound like the

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Speaker 1: miserable one out out of the two of us. This

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Speaker 1: guy's just going on and on about how about me?

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Speaker 1: That sounds like a miserable existence? Why people care? We

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Speaker 1: know you? That's how you are? Like, who cares? That's

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Speaker 1: how you want to live your life?

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Speaker 3: Well, First of all, I B two has nothing to

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Speaker 3: do with any tech and in at all. She doesn't

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Speaker 3: have She doesn't even turn on a TV. She doesn't

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Speaker 3: mess with the shades. By the way, the shades does

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Speaker 3: those work perfectly? Those are great? How's your how's your wall?

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Speaker 3: Did they think it? The wall is just the disappearing wall? Well,

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Speaker 3: they were here yesterday, did look at it, and they

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Speaker 3: go mmm mm hmm, yeah, okay, the boss is going

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Speaker 3: to have to get.

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Speaker 1: Back to to on that.

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Speaker 3: So now it's still still has a slight issue, but

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Speaker 3: it's you know, it's it's it's all right, I guess.

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Speaker 3: But anyway, so I don't know if yeah, we don't

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Speaker 3: when you say we don't live in the future right

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Speaker 3: now is the future compared to when I read that email?

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Speaker 3: So I don't know what the point of that is, Like,

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Speaker 3: it's the best technology we have at the moment. Yeah,

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Speaker 3: of course something will be better next year and the

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Speaker 3: year after.

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Speaker 1: In twenty years from now. But what am I going

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Speaker 1: to wait around and they'll say, not buy a new

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Speaker 1: phone ever, because I'll have a cooler one twenty years

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Speaker 1: from now. We're not living in the future. Don't be stupid. No,

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Speaker 1: I like to you buy the stuff so you beta

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Speaker 1: test that they work on the kinks, and then it

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Speaker 1: gets cheaper for other people. Somebody has to buy the

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Speaker 1: stuff when it first comes out, or they won't. They

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Speaker 1: won't keep selling it.

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Speaker 3: I mean, I don't think anything that I've well, okay,

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Speaker 3: there is some weird stuff here, but from a technology standpoint.

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Speaker 1: I don't think there's anything weird and bankruptcy box. You

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Speaker 1: have a wall that disappears that it's just glass. It's

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Speaker 1: just glass. That's crazy. When are we coming, by the way,

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Speaker 1: it's I mean, we're about two weeks away or two

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Speaker 1: three weeks away, right the middle of April. It's a

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Speaker 1: fluid date, Charlie. We're gonna see how everything works. Still

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Speaker 1: some work still work being done here. I had work

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Speaker 1: being done yesterday and I'll tell you about that later.

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Speaker 1: But there's still you know, there's fourth of July. Fourth

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Speaker 1: in Miami is perfect. Yeah, it's almost three weeks away exactly.

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Speaker 1: If we're gonna do the April fifteenth, yeah, I don't

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Speaker 1: think we're gonna make text day. I probably is not

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Speaker 1: gonna happen. Unless I We're to stay here for three

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Speaker 1: weeks straight, then maybe that would work. But josh right Yo.

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Speaker 3: Crystal whistling with her fingers reminds me of my mom.

385
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Speaker 3: She used to do it both ways, the okay sort

386
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Speaker 3: of sign with one hand and with both index fingers.

387
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Speaker 3: My mom could do it so loud for me to

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Speaker 3: come home. I swear I could hear it half a

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Speaker 3: mile away anywhere in the entire neighborhood that I could

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Speaker 3: possibly be.

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Speaker 1: I could hear it. I've been trying my whole life

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Speaker 1: to do it either way, and I just can't do it.

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Speaker 1: She's good at that. I don't know how. I've never

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Speaker 1: been able to do that either. Charlie tried to learn

395
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Speaker 1: how to do that through a YouTube video and he

396
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Speaker 1: got light headed and passed its head. Yeah. I tried

397
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Speaker 1: for I mean a while, remember driving the car. That's

398
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Speaker 1: when I got light headed because I was just doing

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Speaker 1: it all that day, like I'm going to get this,

400
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Speaker 1: and then I said I got to stop. Jerry writes,

401
00:23:50,600 --> 00:23:54,360
Speaker 1: please call this fake news story out. I'm ninety nine

402
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Speaker 1: percent sure strictly by intuition that this is fake. I

403
00:23:57,640 --> 00:23:59,959
Speaker 1: wish I could definitively prove it. This will only be

404
00:24:00,080 --> 00:24:03,919
Speaker 1: I'm more pervasive as time goes on. We need to

405
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Speaker 1: call out this stuff. Now, this ai news? What is it? Okay?

406
00:24:10,280 --> 00:24:17,000
Speaker 1: Here it is owl lands On man running through Mill

407
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Speaker 1: Creek Park and this is from w kb N twenty seven. Youngstowe.

408
00:24:25,359 --> 00:24:28,000
Speaker 1: You don't think that can happen? Who writes? Check out

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Speaker 1: this incredible photo snap by Joe Vannik. He said his

410
00:24:31,840 --> 00:24:34,080
Speaker 1: friend say he should be a Disney character due to

411
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Speaker 1: his close interactions with wildlife. Read more about it here. No,

412
00:24:45,160 --> 00:24:48,040
Speaker 1: there's definitely more to that. No, and owl isn't just

413
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Speaker 1: going to land on your shoulder when you're going through

414
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Speaker 1: the woods. Let me see that again. Yeah, while you're

415
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Speaker 1: in motion. So the guy's running, You tell me a

416
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Speaker 1: human being is running through the woods and an owl

417
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Speaker 1: just swoops down and lands on his shoulder, and it's like, hey,

418
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Speaker 1: you want to be friends. That definitely did not happen.

419
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Speaker 6: Maybe not while he's running. Welcome back.

420
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Speaker 8: Quite a surprise for a man out for some exercise

421
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Speaker 8: in Youngstown.

422
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Speaker 1: Now, take a look at this.

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Speaker 8: Joe Vannick was on his run at Mill Creek Park

424
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Speaker 8: when a barred owl decided to land on his shoulder. Now,

425
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Speaker 8: he says the bird perched there for about twenty to

426
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Speaker 8: thirty seconds. It was just long enough for him to

427
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Speaker 8: grab his phone snap a quick photo before it flew away.

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Speaker 7: He came, He came out of nowhere. I heard a

429
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Speaker 7: brand but that was all I heard. I never heard

430
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Speaker 7: him swooping. He was like a stealth bomber. I'm still

431
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Speaker 7: I'm still amazed on how quiet he was.

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Speaker 6: This is the time of year.

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Speaker 1: You don't like it that he's humble bragging all of

434
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Speaker 1: his marathons that he's around there and how many stickers

435
00:25:53,119 --> 00:25:55,760
Speaker 1: does he have in his car? Yeah enough? All right,

436
00:25:55,960 --> 00:25:59,479
Speaker 1: Yeah we get it. Dude, you walk faster than other people. Okay,

437
00:26:00,840 --> 00:26:04,119
Speaker 1: I'm not jealous. He has a lot of places in

438
00:26:04,160 --> 00:26:06,080
Speaker 1: his house he could film from. He's like, you know

439
00:26:06,080 --> 00:26:07,560
Speaker 1: where I need to go is in front of all

440
00:26:07,640 --> 00:26:11,600
Speaker 1: of my dumb running medals. Yeah, I think it's great.

441
00:26:11,920 --> 00:26:16,520
Speaker 1: And then he uh has a sign about Charlie's penis

442
00:26:16,600 --> 00:26:19,040
Speaker 1: up there. If you see that, it says the heart

443
00:26:19,160 --> 00:26:23,439
Speaker 1: is what makes it great. So I'll put that on

444
00:26:23,480 --> 00:26:28,760
Speaker 1: your shoulder all the way from Cleveland.

445
00:26:29,240 --> 00:26:32,080
Speaker 2: Don't Some races give you medals just when you like.

446
00:26:32,160 --> 00:26:34,680
Speaker 2: There are some reasons you buy into and you get

447
00:26:34,680 --> 00:26:36,879
Speaker 2: certain things participating, I.

448
00:26:36,840 --> 00:26:40,200
Speaker 1: Think and your kid would get these every race. You

449
00:26:40,240 --> 00:26:43,480
Speaker 1: got to just get one for participating. Yeah, you don't

450
00:26:43,480 --> 00:26:45,640
Speaker 1: have to finish it. Yeah, there's no way that an

451
00:26:45,680 --> 00:26:49,760
Speaker 1: owl came down and landed on that guy's shoulder. Absolutely not,

452
00:26:50,359 --> 00:26:55,560
Speaker 1: Absolutely not, unless this is some owl that got loose

453
00:26:55,600 --> 00:26:58,760
Speaker 1: and it's like a trained owl from the movies or something.

454
00:26:58,800 --> 00:27:01,640
Speaker 1: But no, that I don't know what that is? How

455
00:27:01,680 --> 00:27:03,560
Speaker 1: that happened? Yeah? Christmas right? They're nocturnal.

456
00:27:03,920 --> 00:27:06,959
Speaker 2: Yeah, I've only heard them or seen them in like

457
00:27:07,280 --> 00:27:10,639
Speaker 2: dusk in the evening, once after sunset or later.

458
00:27:11,359 --> 00:27:12,960
Speaker 1: Something weird's going on there.

459
00:27:14,680 --> 00:27:20,040
Speaker 3: Let's see here, Scott writes regarding underwear dribble.

460
00:27:20,119 --> 00:27:24,120
Speaker 1: Your pecker goes between your thumb and finger. While peeing,

461
00:27:24,880 --> 00:27:28,080
Speaker 1: your other three fingers wrap around your sack. When you're done,

462
00:27:28,200 --> 00:27:30,880
Speaker 1: just push with those three fingers and one of them

463
00:27:30,880 --> 00:27:36,840
Speaker 1: pushes right behind the sack. I don't whatever this method is,

464
00:27:36,960 --> 00:27:40,280
Speaker 1: I don't. No, I don't follow my ball sack when

465
00:27:40,280 --> 00:27:43,800
Speaker 1: I pee. Anyways, no one will be the wiser of

466
00:27:43,840 --> 00:27:47,040
Speaker 1: what you just did. There is actually less visible arm

467
00:27:47,080 --> 00:27:50,600
Speaker 1: movement than if you're shaking it off. Also a different topic,

468
00:27:50,760 --> 00:27:53,840
Speaker 1: JLR doesn't want to talk to a female doctor about

469
00:27:53,840 --> 00:27:55,960
Speaker 1: a dead penis, but he has zero issue with telling

470
00:27:56,000 --> 00:27:59,840
Speaker 1: all of us on the radio. This makes absolutely no sense.

471
00:28:02,840 --> 00:28:05,200
Speaker 1: That's my job is to talk about my dead d

472
00:28:05,359 --> 00:28:07,720
Speaker 1: on the radio. What do you expect? Well, why not

473
00:28:07,800 --> 00:28:09,680
Speaker 1: talk about it with your doctor? If you can tell

474
00:28:09,880 --> 00:28:15,240
Speaker 1: all the people listening and watching right now, say, I'm

475
00:28:15,320 --> 00:28:16,920
Speaker 1: just explaining why you know.

476
00:28:17,680 --> 00:28:21,600
Speaker 5: Everyone has their u speculation as to why I may

477
00:28:21,640 --> 00:28:23,879
Speaker 5: have a clogged blood vessel down there. I don't know

478
00:28:23,960 --> 00:28:26,120
Speaker 5: what the case might be, but no, I've not had

479
00:28:26,520 --> 00:28:29,520
Speaker 5: I've not had a taking a chance to talk to

480
00:28:29,560 --> 00:28:33,400
Speaker 5: my doctor regarding my dead do you know what dead unit?

481
00:28:33,840 --> 00:28:36,520
Speaker 1: Okay, so I'm more embarrassing one on one with somebody

482
00:28:37,240 --> 00:28:40,680
Speaker 1: telling us. But he's got plenty of practice talking about

483
00:28:40,680 --> 00:28:42,600
Speaker 1: it for ten years on the show, so you think

484
00:28:42,640 --> 00:28:45,440
Speaker 1: he would be able at this point to bring it up.

485
00:28:45,600 --> 00:28:47,440
Speaker 1: I guess we're not going to look at it. The

486
00:28:47,520 --> 00:28:50,320
Speaker 1: doctor might go, oh, let me have a look. Pull

487
00:28:50,360 --> 00:28:54,000
Speaker 1: those pants down, Charlie.

488
00:28:54,040 --> 00:28:57,120
Speaker 5: I would rather have a licensed pro photical medical professional.

489
00:28:57,320 --> 00:29:01,200
Speaker 1: I'm just saying if I don't want to see it again.

490
00:29:01,240 --> 00:29:02,040
Speaker 1: So thanks, there you go.

491
00:29:02,160 --> 00:29:05,560
Speaker 3: Jeffres Pmug just sent a text message and says Fox

492
00:29:05,600 --> 00:29:07,560
Speaker 3: eight just aired that owl story.

493
00:29:07,680 --> 00:29:13,600
Speaker 1: So they're on this bandwagon now too. You got to

494
00:29:13,600 --> 00:29:14,320
Speaker 1: one up them.

495
00:29:14,720 --> 00:29:18,400
Speaker 3: Yeah, maybe we should just AI generate some photos of

496
00:29:18,520 --> 00:29:23,360
Speaker 3: ourselves with Like you know, farious Rover was running through

497
00:29:23,400 --> 00:29:26,760
Speaker 3: Cleveland metro Parks when this koala crawled onto his shoulder.

498
00:29:28,120 --> 00:29:31,640
Speaker 1: Said, good a mate, Yeah, who are you to argue with?

499
00:29:31,760 --> 00:29:34,240
Speaker 5: It happened right, I could be just walking to the

500
00:29:34,240 --> 00:29:36,400
Speaker 5: store at a valt eagle lands on my shoulder and

501
00:29:36,480 --> 00:29:37,440
Speaker 5: I meet friends with it.

502
00:29:37,840 --> 00:29:42,680
Speaker 3: Absolutely, why not? All right, I've got to take a break.

503
00:29:42,920 --> 00:29:45,520
Speaker 3: Our number is ain't six y six yo, Rover, We'll

504
00:29:45,520 --> 00:29:46,120
Speaker 3: be right back.

505
00:29:46,160 --> 00:30:09,720
Speaker 1: Hang on Rover's morning. Glorious that he just sent me

506
00:30:10,360 --> 00:30:13,400
Speaker 1: a text message. I sent this over to Stints just

507
00:30:13,440 --> 00:30:16,640
Speaker 1: a second ago, so you should get it. Momentarily, he says,

508
00:30:18,160 --> 00:30:21,000
Speaker 1: I live in Maria and we see owls all the

509
00:30:21,160 --> 00:30:24,239
Speaker 1: time during the days, And he sent a picture of

510
00:30:25,120 --> 00:30:28,080
Speaker 1: an owl up in a tree there it is, right,

511
00:30:29,120 --> 00:30:33,400
Speaker 1: And other people said, hey, that can totally happen, where

512
00:30:33,440 --> 00:30:36,200
Speaker 1: an owl just lands on your shoulder, like this guy

513
00:30:36,240 --> 00:30:38,480
Speaker 1: who claims it happened to him as he was running

514
00:30:38,560 --> 00:30:42,800
Speaker 1: through the woods. And some people have sent me various

515
00:30:42,920 --> 00:30:49,880
Speaker 1: videos proving this phenomenon of owls landing on people. Stand by,

516
00:30:50,000 --> 00:30:53,000
Speaker 1: hang on, got it right here, here's one up here

517
00:30:53,000 --> 00:30:56,040
Speaker 1: on the last road of the day. Oh wow, Oh

518
00:30:56,080 --> 00:31:00,600
Speaker 1: my gosh, there's an owl on me. Are you kidding, hi, buddy,

519
00:31:00,960 --> 00:31:06,560
Speaker 1: you're beautiful. Wow, that's amazing. Oh yeah, oh well, no,

520
00:31:06,720 --> 00:31:09,720
Speaker 1: it must be more common than I think. There's another.

521
00:31:09,840 --> 00:31:10,720
Speaker 1: Here's a girl.

522
00:31:10,840 --> 00:31:14,960
Speaker 2: I think so pretty up here today, blue sky fresh snow.

523
00:31:14,800 --> 00:31:16,920
Speaker 1: Like, look at you? What?

524
00:31:18,240 --> 00:31:18,400
Speaker 5: Hi?

525
00:31:18,680 --> 00:31:20,800
Speaker 1: Oh my gosh, it's an howl over my shoulder. This

526
00:31:20,880 --> 00:31:26,320
Speaker 1: is insane. Hi mm hmm yep. So yeah, it's crazy

527
00:31:26,720 --> 00:31:32,360
Speaker 1: all the time, doesn't it. Jeffrey and Crystal ever happened

528
00:31:32,360 --> 00:31:34,479
Speaker 1: to me? So is that cool? Though? It is?

529
00:31:34,600 --> 00:31:39,040
Speaker 2: Yes, I agree? But why it is that little Crystal

530
00:31:41,760 --> 00:31:45,120
Speaker 2: the look that Charlie is giving me right now? I guess, yeah,

531
00:31:45,160 --> 00:31:46,840
Speaker 2: I am the stupidest one on the show.

532
00:31:48,120 --> 00:31:52,880
Speaker 1: You did not send that to you? Miss? Then she said,

533
00:31:52,920 --> 00:31:56,240
Speaker 1: oh my god, that's awesome, and I'm like, I want

534
00:31:56,240 --> 00:32:00,600
Speaker 1: that to happen to me. Okay, just go to an

535
00:32:00,640 --> 00:32:03,480
Speaker 1: online video generator and make it with AI, because that's

536
00:32:03,520 --> 00:32:06,320
Speaker 1: how it happened to those people. Very happy. She does

537
00:32:06,320 --> 00:32:09,400
Speaker 1: not have good AI detection at all. She is pop

538
00:32:09,720 --> 00:32:12,800
Speaker 1: worse than Jeffrey. No, nobody's gonna have that but her.

539
00:32:13,800 --> 00:32:15,680
Speaker 1: She might have worse than Dougie, who I thought had

540
00:32:15,680 --> 00:32:19,640
Speaker 1: the worst. Obviously Jeff jeffor different case, but I thought

541
00:32:19,640 --> 00:32:22,360
Speaker 1: Doogie had the worst. She falls for it all the time.

542
00:32:22,600 --> 00:32:24,800
Speaker 2: Sometimes, I asked Charlie, I go, I don't know if

543
00:32:24,840 --> 00:32:26,680
Speaker 2: this is real or not. Can you look at it

544
00:32:26,720 --> 00:32:29,320
Speaker 2: and tell me, because I think it's real and I'm

545
00:32:29,360 --> 00:32:29,800
Speaker 2: not sure.

546
00:32:30,160 --> 00:32:33,240
Speaker 3: You can immediately just without even batting an eye, you

547
00:32:33,360 --> 00:32:33,960
Speaker 3: just go fake.

548
00:32:34,160 --> 00:32:37,000
Speaker 1: You can immediately know. You can always tell because they're

549
00:32:37,120 --> 00:32:39,720
Speaker 1: describing what they're doing in a really weird way. You

550
00:32:39,720 --> 00:32:42,720
Speaker 1: can tell that's what the person typed in for the prompt.

551
00:32:43,120 --> 00:32:46,360
Speaker 1: For some reason, the AI generator generates the person saying

552
00:32:46,440 --> 00:32:49,440
Speaker 1: that exact thing, like this woman, for example, it's.

553
00:32:49,240 --> 00:32:52,120
Speaker 6: So pretty up here today, blue sky fresh snow.

554
00:32:51,960 --> 00:32:54,720
Speaker 1: Like looking at you. Just just who talks like that,

555
00:32:55,000 --> 00:32:58,560
Speaker 1: blue sky fresh snow. Oh, I just that's what that

556
00:32:58,600 --> 00:33:02,480
Speaker 1: person typed in for her and the guy. If an

557
00:33:02,560 --> 00:33:10,120
Speaker 1: owl landed on you, especially the guy, Oh my gosh,

558
00:33:10,160 --> 00:33:14,320
Speaker 1: there's an owl on me? Are you kidding? Just staring

559
00:33:14,320 --> 00:33:16,320
Speaker 1: at the owl too, Yeah, there's an owl on me?

560
00:33:16,440 --> 00:33:18,800
Speaker 1: Are you kidding? All it would take you would be

561
00:33:19,200 --> 00:33:23,160
Speaker 1: freaked out, and uh, it would take you a couple

562
00:33:23,160 --> 00:33:27,560
Speaker 1: of seconds to even like what is going on. Your

563
00:33:27,680 --> 00:33:30,920
Speaker 1: first reaction would not just be to describe it like

564
00:33:30,960 --> 00:33:34,880
Speaker 1: you're describing something happening on a radio show, for you know,

565
00:33:34,960 --> 00:33:38,920
Speaker 1: like it's just so yeah, I've never seen an owl.

566
00:33:40,440 --> 00:33:44,040
Speaker 4: There's a park near me that has a bunch of them.

567
00:33:44,200 --> 00:33:46,560
Speaker 1: Like there's even at the zoo or I went to

568
00:33:46,600 --> 00:33:50,160
Speaker 1: the bird Museum. I don't know what the name of

569
00:33:50,160 --> 00:33:53,800
Speaker 1: it actually is in Pittsburgh. There's owls there. They were sweet,

570
00:33:55,440 --> 00:33:57,760
Speaker 1: but out in the wild you've never seen. I've heard them,

571
00:33:57,880 --> 00:34:01,160
Speaker 1: I think, like just but not a lot. I think

572
00:34:01,200 --> 00:34:03,840
Speaker 1: I've heard one like just a couple of times in

573
00:34:03,880 --> 00:34:04,360
Speaker 1: my life.

574
00:34:04,640 --> 00:34:08,320
Speaker 4: Yeah. The park by me either's injured ones and they're indoors.

575
00:34:08,360 --> 00:34:12,200
Speaker 4: Are not indoors, they're it's worth well, it's an outdoor thing,

576
00:34:12,200 --> 00:34:14,000
Speaker 4: but it's like half open, Okay, you can walk by

577
00:34:14,040 --> 00:34:15,840
Speaker 4: and see all the owls, all the different types of owls.

578
00:34:16,560 --> 00:34:16,960
Speaker 1: Mm hmm.

579
00:34:18,080 --> 00:34:22,239
Speaker 3: Well anyway, so she uh so Crystal fell for this?

580
00:34:22,480 --> 00:34:26,040
Speaker 1: Huh she she was, she was she could rewatch her

581
00:34:26,080 --> 00:34:28,680
Speaker 1: face where she was like, oh my god, that's so cool.

582
00:34:29,800 --> 00:34:34,839
Speaker 1: I was so genuine. I could not believe it. He looks,

583
00:34:34,880 --> 00:34:39,800
Speaker 1: you know, speaking speaking of ai Video, I have sad

584
00:34:39,920 --> 00:34:46,880
Speaker 1: news for mister Laroque. Are you ready for this? When am?

585
00:34:46,960 --> 00:34:52,279
Speaker 1: I never not ready? He's really well because of the

586
00:34:52,360 --> 00:34:55,759
Speaker 1: coffee situation and he well, he came in grumpy today.

587
00:34:55,800 --> 00:34:58,560
Speaker 1: I was I was in front of him by like,

588
00:34:58,600 --> 00:35:01,560
Speaker 1: I don't know, fifteen twenty feet, So I held the

589
00:35:01,600 --> 00:35:03,960
Speaker 1: door open for him. No, what what do you do

590
00:35:04,160 --> 00:35:06,200
Speaker 1: if somebody holds the door open for you? Do you

591
00:35:06,960 --> 00:35:09,160
Speaker 1: move somewhat quicker?

592
00:35:09,800 --> 00:35:11,400
Speaker 6: You kind of run a little bit, do like a

593
00:35:11,440 --> 00:35:12,920
Speaker 6: little oh my god, just a little.

594
00:35:12,719 --> 00:35:14,680
Speaker 1: Bit, just using a little spring in your You didn't

595
00:35:14,680 --> 00:35:19,200
Speaker 1: even fake lightly even fake it. Just you make.

596
00:35:19,040 --> 00:35:21,880
Speaker 3: It almost make it look like you're walking faster, but

597
00:35:21,960 --> 00:35:24,000
Speaker 3: you're not. And you're like, oh, you know, you don't

598
00:35:24,040 --> 00:35:27,200
Speaker 3: have to say anything. You just now going to cool guy,

599
00:35:27,239 --> 00:35:29,880
Speaker 3: walk and slow down. And I'm just standing there holding

600
00:35:29,920 --> 00:35:30,520
Speaker 3: the door, like.

601
00:35:30,440 --> 00:35:33,359
Speaker 1: What are you doing? Why are you doing this? Thank you?

602
00:35:33,800 --> 00:35:37,640
Speaker 3: That's an alpha move. He's showing his dominance over you, Charlie.

603
00:35:37,680 --> 00:35:39,080
Speaker 3: That you can't is that?

604
00:35:39,160 --> 00:35:41,319
Speaker 1: I mean I could slam the door in his face

605
00:35:41,360 --> 00:35:43,640
Speaker 1: if I wanted, But I'm not rude. But you didn't.

606
00:35:43,680 --> 00:35:46,480
Speaker 1: You didn't dare he You had to wait for him.

607
00:35:46,600 --> 00:35:47,840
Speaker 1: I wanted to see how it played out. I mean,

608
00:35:47,880 --> 00:35:49,520
Speaker 1: I guess it's the last time you hold the door

609
00:35:49,560 --> 00:35:52,840
Speaker 1: open for him, because why would you Why wouldn't you

610
00:35:52,920 --> 00:35:55,880
Speaker 1: move just a little faster. I don't know how we

611
00:35:56,000 --> 00:35:57,600
Speaker 1: got onto that, but well, I'm saying this is what

612
00:35:57,680 --> 00:35:59,239
Speaker 1: I'm saying. You said, he's in a bad mood. I'm

613
00:35:59,239 --> 00:36:01,719
Speaker 1: just giving you this coffee.

614
00:36:02,280 --> 00:36:05,680
Speaker 5: You don't want to need my coffee, No, Lucie, you're

615
00:36:05,719 --> 00:36:07,840
Speaker 5: such a German pub I want you have to waste

616
00:36:07,880 --> 00:36:12,680
Speaker 5: it so I'll fall out away. I give because my

617
00:36:12,760 --> 00:36:15,560
Speaker 5: routine is by normal routine, coming in, I usually.

618
00:36:15,320 --> 00:36:15,960
Speaker 1: Grab my coffee.

619
00:36:16,000 --> 00:36:16,239
Speaker 3: I have it.

620
00:36:16,239 --> 00:36:19,400
Speaker 1: I'm ready to go disrupted. You're going to give you

621
00:36:19,400 --> 00:36:21,600
Speaker 1: that coffee, and it's yours to keep. You don't have

622
00:36:21,640 --> 00:36:25,000
Speaker 1: to give it back, but thank you very much. I

623
00:36:25,040 --> 00:36:29,319
Speaker 1: appreciate it. The door for me too. Whateff, he said,

624
00:36:29,320 --> 00:36:30,919
Speaker 1: I appreciate you holding the door for me. Why didn't

625
00:36:30,960 --> 00:36:32,920
Speaker 1: you walk any faster? If you ever have you ever

626
00:36:33,000 --> 00:36:35,560
Speaker 1: seen any other people interact with each other when somebody

627
00:36:35,560 --> 00:36:38,960
Speaker 1: holds the door open, you slow down. I mean you

628
00:36:38,960 --> 00:36:40,479
Speaker 1: could have just let the door close. I still would

629
00:36:40,480 --> 00:36:43,640
Speaker 1: have opened it, do you guys. What I'll do is see,

630
00:36:44,840 --> 00:36:48,239
Speaker 1: well before we get to the door to go into

631
00:36:48,360 --> 00:36:51,719
Speaker 1: the radio station, if there's somebody ahead of me, or

632
00:36:51,719 --> 00:36:55,080
Speaker 1: if I'm following them in from the garage, I slow

633
00:36:55,239 --> 00:36:59,240
Speaker 1: down purposely, and I will put a lot of distance

634
00:36:59,320 --> 00:37:01,839
Speaker 1: between me and another person because I don't want to

635
00:37:01,960 --> 00:37:06,160
Speaker 1: have that interaction where they hold the door open, and

636
00:37:06,200 --> 00:37:10,600
Speaker 1: then they're oftentimes holding the door open like I'm too

637
00:37:10,640 --> 00:37:13,239
Speaker 1: far behind, and I'm like, oh no, no, please don't

638
00:37:13,280 --> 00:37:15,120
Speaker 1: hold that door open, because now there's going to be

639
00:37:15,160 --> 00:37:17,720
Speaker 1: a five second walk and we're going to be staring

640
00:37:17,760 --> 00:37:19,719
Speaker 1: at each other as I'm coming, and now I have

641
00:37:19,840 --> 00:37:25,000
Speaker 1: to like acknowledgeable thanks. So I will purposely hold back,

642
00:37:25,120 --> 00:37:28,240
Speaker 1: like you know, go very very slow, maybe even fake

643
00:37:28,280 --> 00:37:30,359
Speaker 1: a shoe tigh that I have to do so that

644
00:37:30,440 --> 00:37:33,840
Speaker 1: they get one hundred feet not going to hold the

645
00:37:33,840 --> 00:37:34,920
Speaker 1: door open for me.

646
00:37:35,920 --> 00:37:38,520
Speaker 2: I've done that, but I've also sped up too, like

647
00:37:38,640 --> 00:37:41,200
Speaker 2: I'll also speed up.

648
00:37:41,719 --> 00:37:44,520
Speaker 1: Yeah, I will. I will walk like I have to

649
00:37:44,640 --> 00:37:46,719
Speaker 1: take an emergency dump and get to the bathroom. Like

650
00:37:46,760 --> 00:37:50,080
Speaker 1: I will walk super fast to the door, go through it,

651
00:37:50,160 --> 00:37:52,560
Speaker 1: and then let it close right behind me. I don't

652
00:37:52,560 --> 00:37:59,760
Speaker 1: want to have any sort of interactions. Exactly true. Jeffrey's

653
00:37:59,760 --> 00:38:02,520
Speaker 1: to say he just didn't speed up or slow down.

654
00:38:03,040 --> 00:38:05,359
Speaker 1: He slowed down, but that door is already open at

655
00:38:05,360 --> 00:38:08,080
Speaker 1: the wrong time. Yeah, he should have slowed down before

656
00:38:08,239 --> 00:38:10,480
Speaker 1: you open the door. Now, Jeffery, I do want to

657
00:38:10,520 --> 00:38:12,440
Speaker 1: give you some bad news. Are you ready? For this?

658
00:38:14,280 --> 00:38:15,719
Speaker 1: What am I? What am I?

659
00:38:15,840 --> 00:38:17,960
Speaker 5: Never ready for bad news? It's bad news all the time.

660
00:38:18,000 --> 00:38:19,719
Speaker 5: So it's a sad day.

661
00:38:19,920 --> 00:38:25,759
Speaker 1: Everything's terrible my life, it's gonna be a sad day.

662
00:38:26,840 --> 00:38:34,239
Speaker 1: But open Ai they're the company that runs chet GPT. No,

663
00:38:35,000 --> 00:38:38,400
Speaker 1: do you use any of their products? No, you don't

664
00:38:38,680 --> 00:38:41,080
Speaker 1: know what about Sora the video?

665
00:38:41,440 --> 00:38:43,279
Speaker 5: The only thing is the only the only thing I

666
00:38:43,360 --> 00:38:45,560
Speaker 5: use that's just entertainment purposes.

667
00:38:45,960 --> 00:38:49,080
Speaker 1: Then that's by open Ai. So you do use that

668
00:38:49,200 --> 00:38:51,000
Speaker 1: product right, very often.

669
00:38:51,120 --> 00:38:52,600
Speaker 5: I've used it a couple of times if I was

670
00:38:52,600 --> 00:38:54,280
Speaker 5: pretty entertaining a couple of times.

671
00:38:54,280 --> 00:38:58,040
Speaker 1: How many videos have you a day? No? I feel

672
00:38:58,080 --> 00:39:02,600
Speaker 1: like he uses it all the time. I guess video

673
00:39:02,680 --> 00:39:06,560
Speaker 1: drafts that haven't posted yet. Okay, well I you better

674
00:39:06,560 --> 00:39:10,759
Speaker 1: get on it because open Ai announced yesterday that they

675
00:39:10,880 --> 00:39:18,120
Speaker 1: are shutting down SOA, the video generation good, so so good.

676
00:39:18,560 --> 00:39:22,800
Speaker 4: It's too much use coming out of a certain area.

677
00:39:23,920 --> 00:39:25,040
Speaker 1: They said, we can't handle it.

678
00:39:25,880 --> 00:39:28,560
Speaker 4: Electric bills are too high.

679
00:39:28,840 --> 00:39:32,560
Speaker 1: The electric bills are too damn the street lamp yep.

680
00:39:33,200 --> 00:39:35,360
Speaker 1: So they're going to close this down. They're going to

681
00:39:35,440 --> 00:39:36,560
Speaker 1: focus more on.

682
00:39:37,960 --> 00:39:42,520
Speaker 3: Business and productivity tools, they say, which is which is interesting.

683
00:39:42,560 --> 00:39:46,239
Speaker 3: Now I'm sure, it's incredibly expensive to run that, and

684
00:39:46,239 --> 00:39:47,680
Speaker 3: people are just making I mean.

685
00:39:47,560 --> 00:39:52,040
Speaker 1: You've seen the videos we just played, Oul just laying

686
00:39:52,160 --> 00:39:54,279
Speaker 1: in on a person. Why why are you doing this?

687
00:39:54,400 --> 00:39:58,080
Speaker 1: What's the point of this? Just for clicks? Uh? Nothing

688
00:39:58,120 --> 00:40:01,640
Speaker 1: good has ever come out of it ever. We did

689
00:40:01,719 --> 00:40:04,640
Speaker 1: chuckle at one thing. I forget what it was. At first.

690
00:40:04,680 --> 00:40:06,400
Speaker 1: It started off a little bit slow and I was

691
00:40:06,480 --> 00:40:08,359
Speaker 1: I was like, this is stupid, But then it did

692
00:40:08,520 --> 00:40:12,680
Speaker 1: get good. What was it Einstein and somebody in an mma,

693
00:40:12,840 --> 00:40:15,759
Speaker 1: Max or something like that. It started outside I think

694
00:40:16,160 --> 00:40:20,320
Speaker 1: Stephen Hawking. Oh no, that was I like that. I

695
00:40:20,360 --> 00:40:24,000
Speaker 1: didn't like anything. Oh no, the Pixar, the fake Pixar trailers.

696
00:40:24,280 --> 00:40:27,200
Speaker 1: That was kind of funny. Okay, those were all dirty ones. Yeah,

697
00:40:27,239 --> 00:40:31,800
Speaker 1: the dirty Pixar trailers. But Jeffrey meeting old timey pilots.

698
00:40:31,840 --> 00:40:37,359
Speaker 1: Remember Jeffrey had TEAMMATEE one, and it's him meeting a

699
00:40:37,480 --> 00:40:41,240
Speaker 1: woman pilot from like the nineteen twenties or something.

700
00:40:41,440 --> 00:40:44,200
Speaker 3: And it's a real person we've just never heard of.

701
00:40:44,320 --> 00:40:47,600
Speaker 3: Not Amelia Earhart, who everybody's heard of. This is somebody

702
00:40:47,600 --> 00:40:50,600
Speaker 3: else who literally no one has heard of. And Jeffrey

703
00:40:50,719 --> 00:40:53,440
Speaker 3: generated an AI video of him meeting her.

704
00:40:53,440 --> 00:40:55,240
Speaker 5: Here was the first woman to fly across the English

705
00:40:55,320 --> 00:40:57,320
Speaker 5: Channel in nineteen eleven.

706
00:40:58,719 --> 00:41:00,680
Speaker 1: And a Bleriotype twelve monoplane.

707
00:41:02,239 --> 00:41:05,560
Speaker 5: And her name is Harriet Quimby because her flying attire is,

708
00:41:06,480 --> 00:41:09,200
Speaker 5: if you think about her flying attires the grande of

709
00:41:09,239 --> 00:41:13,319
Speaker 5: the modern pullover hoodie, the grande granddaddy.

710
00:41:12,840 --> 00:41:17,120
Speaker 3: Oh granddaddy. Okay, Well, anyway, so they're closing this down.

711
00:41:17,680 --> 00:41:20,160
Speaker 3: They haven't announced a date yet, but they say we're

712
00:41:20,200 --> 00:41:23,200
Speaker 3: going to try to give you a way to save

713
00:41:23,320 --> 00:41:26,240
Speaker 3: your work and all those video drafts that you have there, Jeffrey,

714
00:41:26,280 --> 00:41:27,719
Speaker 3: I guess you'll be able to download them.

715
00:41:27,760 --> 00:41:29,760
Speaker 1: And people are saying this is a sign that AI

716
00:41:29,960 --> 00:41:33,200
Speaker 1: is not as popular as people think, are going to

717
00:41:33,239 --> 00:41:36,560
Speaker 1: be as useful now if people think like Rover thinks,

718
00:41:36,560 --> 00:41:40,000
Speaker 1: it's going to ruin the world. People are saying that

719
00:41:40,080 --> 00:41:43,879
Speaker 1: this could be a sign of the AI bubble popping. No, no,

720
00:41:44,040 --> 00:41:48,120
Speaker 1: absolutely not. But this is a sign of is a

721
00:41:48,200 --> 00:41:55,080
Speaker 1: struggling company, which is open AI. They are sort of

722
00:41:55,120 --> 00:41:59,239
Speaker 1: synonymous with AI, with chat GPT, it's the thing that

723
00:41:59,320 --> 00:42:04,439
Speaker 1: everybody knows. But they are really struggling to make any

724
00:42:04,480 --> 00:42:06,720
Speaker 1: money and figure out how are we going to do anything?

725
00:42:07,120 --> 00:42:10,600
Speaker 1: Do I believe that's what That's the point that it's

726
00:42:10,640 --> 00:42:14,360
Speaker 1: not going to be as widespread as you think, because

727
00:42:14,760 --> 00:42:16,880
Speaker 1: the bills are going to somebody's got to pay the

728
00:42:16,920 --> 00:42:19,960
Speaker 1: bills eventually, and nobody's going to pay five ten dollars

729
00:42:20,000 --> 00:42:22,279
Speaker 1: to make a video of them sitting on a ski

730
00:42:22,320 --> 00:42:25,200
Speaker 1: lift with it is true, but you know who will

731
00:42:26,200 --> 00:42:31,239
Speaker 1: commercial applications meaning business customers, they have the cash to

732
00:42:31,320 --> 00:42:36,319
Speaker 1: do this, And that's what I think open ai they're saying, hey, look,

733
00:42:36,360 --> 00:42:38,479
Speaker 1: we've got to focus on people that are actually going

734
00:42:38,520 --> 00:42:39,080
Speaker 1: to pay us.

735
00:42:39,120 --> 00:42:42,839
Speaker 3: We cannot just have a the amount. You know, even

736
00:42:42,840 --> 00:42:45,120
Speaker 3: if you use chat GPT, you know they have pro

737
00:42:45,280 --> 00:42:47,439
Speaker 3: plans at twenty dollars or this, that or the other.

738
00:42:47,760 --> 00:42:50,600
Speaker 3: You know, at least you're paying something. The Sora Jeffery

739
00:42:50,600 --> 00:42:54,440
Speaker 3: didn't pay a thing. And it's very expensive, you know,

740
00:42:54,760 --> 00:42:57,239
Speaker 3: compute time in order to generate this.

741
00:42:58,080 --> 00:42:59,000
Speaker 1: It is expensive.

742
00:42:59,080 --> 00:43:01,600
Speaker 3: So who knows how much money they were losing over

743
00:43:01,600 --> 00:43:04,759
Speaker 3: the past couple of years, running een million dollars a day,

744
00:43:05,360 --> 00:43:09,000
Speaker 3: fifteen million a day they were losing according to Forbes

745
00:43:10,360 --> 00:43:14,200
Speaker 3: Macro November twenty twenty five years and yeah, open ai

746
00:43:14,320 --> 00:43:16,879
Speaker 3: could be blowing as much as fifteen million per day

747
00:43:16,960 --> 00:43:22,440
Speaker 3: on Sora videos and that was wow, that's incredible. So

748
00:43:22,480 --> 00:43:24,399
Speaker 3: they're just losing fifteen million a day.

749
00:43:24,440 --> 00:43:24,640
Speaker 1: Now.

750
00:43:25,080 --> 00:43:27,879
Speaker 3: Some companies they have a game plan. They go, we're

751
00:43:27,920 --> 00:43:30,600
Speaker 3: going to lose money, but we want to gain market share,

752
00:43:30,680 --> 00:43:33,840
Speaker 3: so we're willing to lose money. We've seen this happen.

753
00:43:33,920 --> 00:43:36,279
Speaker 3: Amazon did it for years and years. Uber did it

754
00:43:36,320 --> 00:43:38,560
Speaker 3: for years and years. A lot of these Cotesla did

755
00:43:38,560 --> 00:43:40,600
Speaker 3: it for years and years. A lot of these companies

756
00:43:40,640 --> 00:43:40,920
Speaker 3: do that.

757
00:43:40,960 --> 00:43:44,000
Speaker 1: But there is a game plan, and I think Open

758
00:43:44,040 --> 00:43:47,880
Speaker 1: Ai they just realized this is probably not our future.

759
00:43:47,920 --> 00:43:51,040
Speaker 1: We can have this incredible video generation technology, but it's

760
00:43:51,200 --> 00:43:54,560
Speaker 1: it's not going to We're not going to get rich

761
00:43:54,640 --> 00:43:58,000
Speaker 1: and save the company by letting Jeffrey Laroque and people

762
00:43:58,080 --> 00:44:00,719
Speaker 1: like him create these for free. But what we will

763
00:44:00,760 --> 00:44:04,279
Speaker 1: do is what if we had a tool that would

764
00:44:04,280 --> 00:44:07,800
Speaker 1: allow you to create an AI generated or through prompts,

765
00:44:07,800 --> 00:44:11,040
Speaker 1: you could make an AI generated feature film, but it

766
00:44:11,080 --> 00:44:15,080
Speaker 1: would cost you know, a business company would million dollars

767
00:44:15,120 --> 00:44:17,840
Speaker 1: to do it, five million dollars a million insert x

768
00:44:17,880 --> 00:44:20,719
Speaker 1: amount of dollars there, and that's when they that's when

769
00:44:20,719 --> 00:44:23,399
Speaker 1: it starts to change. The count stop progressing though, because

770
00:44:23,480 --> 00:44:25,760
Speaker 1: less people are making stuff, and it's kind of learning

771
00:44:25,800 --> 00:44:30,399
Speaker 1: every time it makes a new one. I don't really

772
00:44:30,400 --> 00:44:37,440
Speaker 1: know if the AI learning works. I don't. I don't

773
00:44:37,560 --> 00:44:37,960
Speaker 1: think so.

774
00:44:38,160 --> 00:44:41,040
Speaker 3: I think it's you know, they're training it on existing videos.

775
00:44:41,080 --> 00:44:44,000
Speaker 3: What it does learn as people prompt is it can

776
00:44:44,120 --> 00:44:46,800
Speaker 3: kind of, I guess, tweak and fine tune what people

777
00:44:46,840 --> 00:44:49,640
Speaker 3: are changing from the output that it creates, and then

778
00:44:49,640 --> 00:44:53,840
Speaker 3: it can kind of know, oh, well, people are wanting

779
00:44:53,840 --> 00:44:55,640
Speaker 3: me to tweak this, that or the other, so I

780
00:44:55,719 --> 00:44:57,360
Speaker 3: must not be doing that properly.

781
00:44:57,520 --> 00:45:02,359
Speaker 1: I'm sure they can gain data that way. But now

782
00:45:02,400 --> 00:45:03,000
Speaker 1: I don't think that.

783
00:45:02,960 --> 00:45:05,640
Speaker 3: This is a sign that there is is there an

784
00:45:05,680 --> 00:45:09,640
Speaker 3: AI bubble? There absolutely could be, meaning that there's an

785
00:45:09,719 --> 00:45:12,080
Speaker 3: incredible amount of money being spent. We saw the same

786
00:45:12,120 --> 00:45:15,680
Speaker 3: thing happen during the dot com era. For those old

787
00:45:15,800 --> 00:45:18,480
Speaker 3: enough to remember this, anybody, and it's the same thing.

788
00:45:18,600 --> 00:45:21,560
Speaker 3: It is almost exactly the same thing now. In the

789
00:45:21,600 --> 00:45:22,399
Speaker 3: dot com era.

790
00:45:22,520 --> 00:45:26,479
Speaker 1: That's when the Internet was getting big, the World Wide

791
00:45:26,480 --> 00:45:30,879
Speaker 1: Web was getting big, and every company would just put

792
00:45:30,920 --> 00:45:33,480
Speaker 1: a dot com after their name. It doesn't matter what

793
00:45:33,520 --> 00:45:33,799
Speaker 1: you did.

794
00:45:33,840 --> 00:45:37,200
Speaker 3: You could be a construction company, but put dot com

795
00:45:37,239 --> 00:45:39,040
Speaker 3: after it and you could get people to invest in

796
00:45:39,080 --> 00:45:41,799
Speaker 3: your company and you just say, oh, yeah, we're an

797
00:45:41,880 --> 00:45:45,759
Speaker 3: internet company. AI is exactly the same thing.

798
00:45:45,920 --> 00:45:49,560
Speaker 1: Every company now they claim they're using AI, they have

799
00:45:49,800 --> 00:45:51,920
Speaker 1: AI there, AI.

800
00:45:51,719 --> 00:45:53,480
Speaker 3: Generated this, and that a lot of the stuff isn't

801
00:45:53,520 --> 00:45:58,440
Speaker 3: even AI. And so there's a lot of money that

802
00:45:58,560 --> 00:46:02,880
Speaker 3: was being thrown around. And I would say most of that.

803
00:46:03,040 --> 00:46:05,760
Speaker 3: Those companies that have gotten money, they're going to fail.

804
00:46:05,880 --> 00:46:07,920
Speaker 3: There's only going to be a few winners. Not everyone's

805
00:46:07,960 --> 00:46:10,040
Speaker 3: going to win in this, but people who do are

806
00:46:10,080 --> 00:46:11,319
Speaker 3: going to will be.

807
00:46:11,400 --> 00:46:17,000
Speaker 1: The next Microsoft, the next Google, the next whatever mega company.

808
00:46:17,040 --> 00:46:18,719
Speaker 1: And there are certainly going to be a few of

809
00:46:18,760 --> 00:46:22,200
Speaker 1: those in the AI space, and it's going to change

810
00:46:22,200 --> 00:46:27,200
Speaker 1: our lives. Other people saying that sour shutdown maybe because

811
00:46:27,200 --> 00:46:29,320
Speaker 1: of a huge lawsuit that's going to come out because

812
00:46:29,320 --> 00:46:35,200
Speaker 1: of whatever they're generating really illegal. Maybe they're pre shut

813
00:46:35,520 --> 00:46:40,000
Speaker 1: down going whoa child sex stuff, see Sam Child. I

814
00:46:40,000 --> 00:46:42,239
Speaker 1: don't know what I just saw that. People suggested that

815
00:46:42,280 --> 00:46:45,920
Speaker 1: I don't. I have no idea, but yeah, well that's interested.

816
00:46:48,040 --> 00:46:51,239
Speaker 3: I'm assuming that it would have some sort of safeguards.

817
00:46:51,280 --> 00:46:53,920
Speaker 3: I I haven't heard anything in the news that it

818
00:46:54,040 --> 00:46:58,799
Speaker 3: was generating, and I feel out now. I I do

819
00:46:58,960 --> 00:47:06,400
Speaker 3: know that rock, they Twitter x whatever. They're being sued

820
00:47:07,280 --> 00:47:11,080
Speaker 3: by a bunch of Remember when Elon Musk went just

821
00:47:12,160 --> 00:47:14,759
Speaker 3: off the deep end and they turn on Grock and

822
00:47:14,800 --> 00:47:19,000
Speaker 3: they can generate whatever, and he's laughing at it, and

823
00:47:19,040 --> 00:47:23,600
Speaker 3: people are like, hey, you know, you're generating nude photos

824
00:47:23,680 --> 00:47:26,800
Speaker 3: of my twelve year old daughter. Somebody uploaded it and

825
00:47:26,880 --> 00:47:28,839
Speaker 3: said let me see her nude, and you're doing it

826
00:47:28,880 --> 00:47:33,280
Speaker 3: and he's like funny, you know, like literally you're saying, yeah, funny, cool,

827
00:47:33,640 --> 00:47:37,879
Speaker 3: you know. And they're being sued by underage I'm sure

828
00:47:37,960 --> 00:47:41,200
Speaker 3: some attorney got a bunch of these underage kids together

829
00:47:41,320 --> 00:47:43,800
Speaker 3: and said let's start a class action lawsuit.

830
00:47:43,840 --> 00:47:51,239
Speaker 1: So that lawsuit is progressing. Copyright holders also, are you know,

831
00:47:52,000 --> 00:47:55,000
Speaker 1: think about the way that Sora and any of these

832
00:47:55,239 --> 00:48:01,840
Speaker 1: video the AI video models are trained on existing video content,

833
00:48:02,400 --> 00:48:09,160
Speaker 1: and so they're scraping and scooping up movies, YouTube clips,

834
00:48:09,920 --> 00:48:12,960
Speaker 1: TV shows, what anything, any video content that they can

835
00:48:13,000 --> 00:48:16,680
Speaker 1: they're getting it, and they're training their AI model with

836
00:48:17,280 --> 00:48:22,360
Speaker 1: copyrighted material. And those copyright holders that can get you

837
00:48:22,440 --> 00:48:26,080
Speaker 1: shut down as well if they come after you and win.

838
00:48:28,200 --> 00:48:30,040
Speaker 1: So who knows, but I think it just didn't make

839
00:48:30,080 --> 00:48:32,680
Speaker 1: economic sense. So is this a sad day for you? Jeffrey?

840
00:48:32,680 --> 00:48:36,480
Speaker 1: Are you upset that Sora is going away?

841
00:48:37,400 --> 00:48:40,880
Speaker 5: I know it was a nice little ride while it lasted.

842
00:48:41,160 --> 00:48:47,719
Speaker 1: Okay, kind of like you and then F fifteen eagle right, yeah,

843
00:48:47,800 --> 00:48:49,920
Speaker 1: which you generated with Sora you flying?

844
00:48:50,040 --> 00:48:51,920
Speaker 5: I did know, don' what is the X one and

845
00:48:52,040 --> 00:48:54,520
Speaker 5: X fifteen? Me doing a walk around on an F fourteen?

846
00:48:55,960 --> 00:48:56,640
Speaker 1: Me mean to hear you?

847
00:48:56,760 --> 00:49:00,440
Speaker 5: Quimby, I'll be flying up P fifty one didn't use

848
00:49:00,480 --> 00:49:00,839
Speaker 5: it that much.

849
00:49:00,920 --> 00:49:03,400
Speaker 1: Yeah, no, no, he didn't use it at all. Definitely

850
00:49:03,400 --> 00:49:05,680
Speaker 1: not said that he can't make more videos like that.

851
00:49:05,800 --> 00:49:09,319
Speaker 1: Did Harriet Quimby have a accent in your video? Pardon me?

852
00:49:09,880 --> 00:49:15,359
Speaker 1: Did Harriet Quimby? No, she's American? Oh she was American. Yeah,

853
00:49:15,400 --> 00:49:15,759
Speaker 1: but she.

854
00:49:15,760 --> 00:49:17,600
Speaker 5: Flew over the English shoes. She was the first woman

855
00:49:17,640 --> 00:49:20,200
Speaker 5: to accomplish that feat. And this was in back at

856
00:49:20,239 --> 00:49:24,280
Speaker 5: a time when aircraft really did not have any instrumentation whatsoever.

857
00:49:24,320 --> 00:49:27,279
Speaker 5: The pilot had to rely on landmarks though they didn't

858
00:49:27,280 --> 00:49:30,480
Speaker 5: fly very high, and the engines weren't powerful enough at

859
00:49:30,480 --> 00:49:35,200
Speaker 5: the time, and.

860
00:49:33,440 --> 00:49:35,040
Speaker 1: The aircraft didn't have radios.

861
00:49:35,760 --> 00:49:38,280
Speaker 5: Do they have all the equipment that a modern aircraft

862
00:49:38,280 --> 00:49:39,840
Speaker 5: today would have okay.

863
00:49:40,080 --> 00:49:42,800
Speaker 1: It was all fabric and plywood. Fabric and wood.

864
00:49:43,040 --> 00:49:45,520
Speaker 5: The only metal was the was the was the wheels

865
00:49:45,520 --> 00:49:47,880
Speaker 5: of the engine frame and the engined itself.

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Speaker 3: A little history lesson from Jeffrey or aviation buff Tuji.

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Speaker 1: You have the Shusy coming up in just a minute,

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Speaker 1: the news. We'll be right back with that. Hang on,