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Speaker 1: Male nudity followings throw them abuse. You haven't ended up

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Speaker 1: in the dark part of the internet again.

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Speaker 2: You just found Robers Morning Glory.

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Speaker 3: The Shizzy is coming up in just a moment the news.

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Speaker 3: What do you have on the way, doc?

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Speaker 4: A couple of girls were on a ride at a festival,

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Speaker 4: and I'll tell you what the ride was and what

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Speaker 4: happened to them. It's a ride that we've all been

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Speaker 4: on and it's pretty scary. I'll tell you that story.

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Speaker 1: Coming up next. All right, we'll get to that in

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Speaker 1: just a moment.

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Speaker 3: There is a story I want to tell you about

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Speaker 3: these snamp benefits and I guess those are running out

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Speaker 3: because of the government shut down.

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Speaker 1: A judge or a couple of.

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Speaker 3: Judges have ordered the government to continue providing this SNAP

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Speaker 3: assistance to needy people because they do have I guess

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Speaker 3: a surplus or whatever that is available to use in

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Speaker 3: case of an emergency, but the government didn't want to

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Speaker 3: use that. But there is a story that was circulating

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Speaker 3: that was picked up by news outlets, including Fox News,

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Speaker 3: and they are like, look at how ridiculous these SNAP

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Speaker 3: recipients are, and look at what they're saying. There's a

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Speaker 3: small problem with this story and I'll tell you what

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Speaker 3: it is in just a minute.

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Speaker 1: But first, Dougie, are you ready for these shusies? Sure?

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Speaker 1: Here we go, Jittish Dizzy on Rolls Morning Glory.

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Speaker 4: A British man has been charged in connection with a

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Speaker 4: mass dabbing attack on a train that targeted passengers traveling

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Speaker 4: through central England to London. This was over the weekend

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Speaker 4: and the attack left nine people in need of a

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Speaker 4: treatment for life threatening injuries, one of whom remained in

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Speaker 4: critical condition yesterday. The suspect was also charged over a

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Speaker 4: separate attack in London the same day. Police are working

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Speaker 4: to determine a motive, but said there is no evidence

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Speaker 4: to suggest.

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Speaker 1: That it was an act of terrorism. All right, yeah,

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Speaker 1: I don't know how they could quickly determine.

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Speaker 3: I must just be a crazy person, I guess, so

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Speaker 3: crazy that you immediately arrest the guy and you go, Okay,

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Speaker 3: this guy's not a terrorist because he's speaking nonsensically or whatever.

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Speaker 3: But see, look here it is. People always worry about guns,

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Speaker 3: and I'm worried about gun violence. Most normal people aren't

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Speaker 3: thrilled about gun violence and the prevalence of guns, even

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Speaker 3: though I own guns. But look you're on a train

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Speaker 3: or a bus or something like that. In a crowded area,

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Speaker 3: somebody can pull out a knife and start stabbing people

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Speaker 3: as well. So I talked to when I was in

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Speaker 3: Ireland and I was hanging out with this former cop

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Speaker 3: who had just retired. He said he'd rather take on

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Speaker 3: somebody with a gun than somebody with a knife. That's

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Speaker 3: how afraid they he was off. And I guess after

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Speaker 3: seeing it so many times, stabbings and what can happen,

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Speaker 3: and he'd rather go up against a gun than a knife.

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Speaker 1: Believe it or not, I know it sounds hard to believe.

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Speaker 1: Go on, dude.

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Speaker 4: An explosion at a Harvard Medical School building early Saturday

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Speaker 4: morning appears to have been intentional, according to police. Just

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Speaker 4: before three am on Saturday, University police officer responded to

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Speaker 4: a fire alarm at Goldensend building on Longwood Avenues was

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Speaker 4: in Boston, and they saw two people running from the building.

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Speaker 4: The officer couldn't stop them or even identify them, but

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Speaker 4: police later released the surveillance photos showing two suspects with

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Speaker 4: their faces covered. Inside the building, the officer found that

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Speaker 4: an explosion had happened on.

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Speaker 1: The fourth floor. That's where the alarm was triggered.

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Speaker 4: No injuries were reported, and the Boston Police Department swept

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Speaker 4: the building to search for additional devices, but found none.

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Speaker 4: The Boston Fire Department arsen unit and the FBI are

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Speaker 4: helping with the investigation. Two young girls were hospitalized after

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Speaker 4: being thrown out of a ferris wheel during a festival

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Speaker 4: in Louisiana.

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Speaker 1: We've all been on these, yeah, the pair, How did

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Speaker 1: this happen?

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Speaker 4: The pair tumbled out of a revolving bucket they were

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Speaker 4: inside on the ride at this harvest festival, and it

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Speaker 4: was around noon after it unexpectedly tipped over, according to witnesses,

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Speaker 4: The girls, both under thirteen years old, were rushed to

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Speaker 4: the hospital after the incident, with one of them being

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Speaker 4: airlifted to a medical facility. So they said that they

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Speaker 4: were still lodged in. There were photos captured one of

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Speaker 4: the girls being rescued while appearing to still be lodged

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Speaker 4: in part of the ride. He said, it caught on

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Speaker 4: to the wires and then it tilted over and the

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Speaker 4: two girls.

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Speaker 3: Fell out to what were they were they trying to

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Speaker 3: like spin this thing, Like I've been on a ferris

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Speaker 3: wheel and people will try to like spin it.

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Speaker 1: Like all the way, like you know, rocket back and forth?

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Speaker 1: Is that what was going on?

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Speaker 4: I want insane that the kids were trying to rocket

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Speaker 4: it said that it got the it got stuck on

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Speaker 4: the wire and it tipped it over. There were inspections

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Speaker 4: and they said most rides at fair were cleared to

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Speaker 4: reopen after this happened. But they are investigating what happened.

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Speaker 4: But luckily they're going to be okay. But that's pretty scary,

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Speaker 4: all right? Did you play the Mega millions in the

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Speaker 4: Powerball jackpot? The Mega Millions jackpot continues to soar. No

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Speaker 4: grand prize winner in the Friday night drawing, so now

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Speaker 4: it's up to eight hundred million dollars with the next

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Speaker 4: drawing tomorrow. And just ahead of that, however, there is

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Speaker 4: a Powerball drawing that takes place tonight and it stands

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Speaker 4: at an estimated four hundred and nineteen million dollars.

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Speaker 1: You have two very large jackpots. Are you're going to

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Speaker 1: go in?

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Speaker 3: Power Ball has to get the five hundred million before

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Speaker 3: I do it, And I have been playing Mega Millions

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Speaker 3: so far haven't won, so.

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Speaker 4: You won't because it's only four hundred and nineteen million

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Speaker 4: going to do?

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Speaker 1: Right, it has to get the five hundred half a billion.

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Speaker 4: That's when I jump in my god, you're crazy, and

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Speaker 4: find the Entertainment News for you. The list it has

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Speaker 4: been revealed from Forbes the highest paid deceased celebrities of

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Speaker 4: twenty twenty five. So Forbes releases their list annually. It's

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Speaker 4: based on pretext earnings from sales, streams, and other licensing deals.

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Speaker 4: I'm going to give you the top five because we

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Speaker 4: do have a tie. Fifth place Notorious Big with eighty

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Speaker 4: million dollars for the twenty twenty five season. A tie

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Speaker 4: for third is Pink Floyd members Richard Wright and Sid Barrett.

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Speaker 4: So this is eighty one million dollars each.

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Speaker 1: That's a tie. Wait, this is what.

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Speaker 4: These are the highest paid dead celebrities for this year?

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Speaker 1: Oh okay, okay.

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Speaker 4: So Pink Floyd members tie with eighty one million each.

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Speaker 4: Second place doctor Seuss for eighty five million dollars this year.

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Speaker 4: And then who do you think the highest paid dead

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Speaker 4: celebrity of twenty twenty five is?

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Speaker 1: Michael Jackson?

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Speaker 4: It is one hundred and five million dollars. Michael Jackson

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Speaker 4: one hundred and five million dollars. Elvis Presley is on

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Speaker 4: there he's seventeen.

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Speaker 1: Million, does explain wine Notorious Pig's on there? M I

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Speaker 1: thought that was kind of shocking. Eighty million, it's a lot.

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Speaker 1: Something happened.

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Speaker 3: Maybe they they did a movie or a documentary or

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Speaker 3: something a couple.

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Speaker 1: Maybe that has something to do with it. I don't know.

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Speaker 4: Speaking of documentaries, did anyone watch the probably know what

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Speaker 4: they did the John Candy one?

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Speaker 1: Did you guys watch that?

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Speaker 2: I did?

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Speaker 1: Not? Snitzer, No, I'm going to I haven't watched it.

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Speaker 1: I watched the worst movie I've ever seen. Yeah, what's that?

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Speaker 5: A House of Dynamite? It's on Netflix. It's about what

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Speaker 5: I saw the little trailer for it. It looks really dumb.

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Speaker 5: The trailer does looks awful. Do not, under any circumstances

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Speaker 5: watch this.

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Speaker 1: She's good.

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Speaker 6: She did zero Dark thirty and the hurt Locker. Hurt Locker, Yeah, yeah,

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Speaker 6: this is the final the trilogy. Well those two are

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Speaker 6: true stories, right, Yeah?

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Speaker 5: I don't know. This is made up. This is this

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Speaker 5: is not a thing that happened. And it also is

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Speaker 5: a pile of crap.

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Speaker 1: Really, so why what makes it so bad?

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Speaker 5: So it starts off you're and it's you're kind of

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Speaker 5: getting behind the scenes in the situation room, a mysterious

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Speaker 5: missile is headed to the United States. Maybe we don't

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Speaker 5: know exactly, might just go over to see of Japan.

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Speaker 5: We're not sure where it's gonna go. Who put this

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Speaker 5: missile out there? Is it heading to the US. And

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Speaker 5: then for the twenty minutes, you see them working out.

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Speaker 5: Twenty minutes, half hour, you see them working out. We're

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Speaker 5: calling the president, We've got we've got secretary of Defense,

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Speaker 5: We're calling all these people. What are we gonna do?

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Speaker 5: How are we gonna react to this? We've got twenty

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Speaker 5: minutes to act on this. All right, bomb's about to hit.

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Speaker 5: Screen goes black. This is a half hour in black,

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Speaker 5: and you go, okay, what are we gonna do here?

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Speaker 5: As the United States? How big was this? I don't

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Speaker 5: want to say. We're landed. Then it's goes all right, pause,

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Speaker 5: we're gonna restart the whole story again. But let's look

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Speaker 5: at it from the president's point of view or and

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Speaker 5: then it's literally the same movie.

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Speaker 1: The same movie happens.

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Speaker 5: Three times, three times, all from different people's points of view.

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Speaker 1: But if they're not.

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Speaker 5: Really that different people's point of view, because they're all

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Speaker 5: talking to each other.

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Speaker 1: They're all on the zoom call.

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Speaker 5: President's talking to the Secretary of Defense. We've got some general,

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Speaker 5: we got FEMA. We're all watching so that they're all

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Speaker 5: on the same zoom call. But you get to see

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Speaker 5: an insight into what they were doing behind the zoom call.

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Speaker 5: I mean, I already know what the President's gonna say,

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Speaker 5: because he said it twice already in the movie. By

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Speaker 5: the time it gets to the president's section, you already

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Speaker 5: know it's the words he's going to say him because

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Speaker 5: you're like, okay, he's about.

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Speaker 1: To say this, and then you go, he said that,

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Speaker 1: and then it ends. So then at the end, the.

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Speaker 5: Very end of the movie, you go, all right, scream

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Speaker 5: goes black again. Now we're gonna see where the bomb went.

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Speaker 5: Where did it go off? Are we gonna do anything?

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Speaker 1: Nothing?

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Speaker 5: Just sense the title screen comes up. You go, wait,

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Speaker 5: did the bomb go off?

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Speaker 1: I don't know.

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Speaker 5: Did we retaliate? I don't know we did we do anything?

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Speaker 5: I don't know?

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Speaker 1: I don't know.

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Speaker 3: Okay, so hold on, you did not give a spoiler alert.

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Speaker 3: That's I mean, he did just give the ending. But

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Speaker 3: you're telling me this movie is so bad you don't

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Speaker 3: care about a spoiler alert.

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Speaker 5: I guess I accidentally did just ruin that movie, But

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Speaker 5: I just tell you, do you they ruined it before

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Speaker 5: you gave ninety minutes? Because there is no ending, you

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Speaker 5: will never find out what happens. And it's the same

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Speaker 5: watch the first half hour was great. I go, whoa,

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Speaker 5: this is intense. What are we gonna do?

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Speaker 3: Like?

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Speaker 5: This is scary, this is if this happens, and what

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Speaker 5: are we gonna do here? And then it just restarted

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Speaker 5: and I'm just watching a different guy's point of view,

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Speaker 5: who's doing again talking to the same people I just saw.

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Speaker 1: I already know what he's gonna say. I know everything.

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Speaker 3: And then I go, it's not like it's not like

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Speaker 3: a thing where it's like Russia versus the US, and

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Speaker 3: you're seeing like the Russian or the American people for

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Speaker 3: the first thirty minutes, and then and then the next

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Speaker 3: thirty minutes you see their Russian counterparts or what.

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Speaker 5: Would have been interesting, even if you want to cut

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Speaker 5: it up in three parts, how the world's going to react?

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Speaker 5: We go, here's how the politicians are reacting to it.

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Speaker 5: And then let's go to janitors in West Virginia or something.

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Speaker 1: How's this guy going to react to it, and we

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Speaker 1: watch how his life's going to change.

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Speaker 5: No, these are three stories of the same people talking

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Speaker 5: to each other and it's just different camera angles.

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Speaker 1: They go, this is the worst piece of crap I've

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Speaker 1: ever seen in my life. Terrible House of Dynamite.

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Speaker 3: I feel like I almost want to watch it, Like

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Speaker 3: it's not quite as bad ice Cube?

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Speaker 1: What was the ice Cube movie? I just watched on

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Speaker 1: a zoom call throughout the whole thing. It's not that level.

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Speaker 1: It's much better than that. But the first that hour

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Speaker 1: was great. I was like, where are we going to

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Speaker 1: go with this? And then it just not just repeat?

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Speaker 1: There you go. So did you watch the end of credits, Charlie? Yeah?

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Speaker 1: What do you mean? Oh?

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Speaker 3: Did anything? Was there like a thing at the very end?

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Speaker 3: Did you fast forward make sure nothing was going through? No,

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Speaker 3: nothing happened that on. It was on my TV.

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Speaker 5: And then it started actually it played all the way

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Speaker 5: through the credits, and then it started trying to play

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Speaker 5: something else. It said if the thing came up and

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Speaker 5: said did you like this? I don't hit yes or no.

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Speaker 5: I don't want to influence it because.

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Speaker 3: I thought maybe there was a hidden endinger or something

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Speaker 3: did somebody say there was no Somebody asked, did you

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Speaker 3: watch the Charlie didn't watch the end of the credits?

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Speaker 1: Is what this guy says. This guy's this guy's a moron.

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Speaker 1: I know.

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Speaker 5: I watched the whole thing. It started trying to play

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Speaker 5: something else. It said, didn't you like this? Try and watch,

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Speaker 5: trying to here's some other bull credit you cancel, cancel

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Speaker 5: what cancel that?

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Speaker 1: So you can watch the end credits and sometimes it'll

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Speaker 1: just skip no, no, no.

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Speaker 5: Netflix is very smart, and it knows to not find

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Speaker 5: me an example of me being wrong on this and

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Speaker 5: I this, Okay, well you didn't see it.

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Speaker 1: I did. I'm telling you, I'm agreeing with the caller.

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Speaker 5: Netflix is very smart, and it usually won't try to

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Speaker 5: suggest anything or move until you see it all until

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Speaker 5: it goes all right, because that's how you.

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Speaker 1: Also know in something.

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Speaker 3: In other words, you didn't manually move that cursor over

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Speaker 3: to the top left where the credits are going, and

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Speaker 3: you say continue, continue.

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Speaker 5: The credits, and then at the end it did a fade,

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Speaker 5: and then it said something said yes or no do

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Speaker 5: you like? And I didn't touch it, And then then

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Speaker 5: it tried starting to play something else. There is nothing

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Speaker 5: else in this movie, and any any defender of this

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Speaker 5: movie is a moron. I can't think of elf. Scott says,

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Speaker 5: Charlie is crazy. It's a fantastic movie. And Rob says,

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Speaker 5: good rule of thumb. If Charlie thinks a movie sucks,

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Speaker 5: it's probably great.

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Speaker 1: If he thinks of a.

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Speaker 5: Yellowstone this is a wrestling fan. This guy likes wrestling.

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Speaker 5: He thinks Stone could's great. That's who were talking to

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Speaker 5: this person. I can already tell you, big yellowstonehead, if

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Speaker 5: you like this, don't talk.

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Speaker 1: Down to our audience. Charlie pull it. I would like

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Speaker 1: to see anybody defend this. And anyway, you keep picking

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Speaker 1: these awful movies.

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Speaker 3: You told us about Good Boy, The Dog, the POV

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Speaker 3: of Adult.

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Speaker 1: You're watching all these point of view movies as well.

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Speaker 1: What being on with your selection? Okay?

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Speaker 5: I opened Netflix last night and I said what's new?

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Speaker 5: And this was the very first thing and the trailer

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Speaker 5: said bombs coming to America, And I said that sounds interesting.

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Speaker 1: I'm in what would we do? What would that be like?

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Speaker 1: Look very realistic.

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Speaker 5: You're seeing from in the trailer, You're seeing from all

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Speaker 5: these people's perspective. I was like cool, All right, don't

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Speaker 5: give it away. The trailer basically the movie trailer.

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Speaker 1: No. I thought the trailer was the acting. I thought

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Speaker 1: was like, Oh, they're sleeping, jank and bad.

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Speaker 5: You want to watch the trailer together, you want to

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Speaker 5: see it's really sort of unnatural and awkward.

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Speaker 1: I thought kunk Master Flex says, Charlie's gonna take the

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Speaker 1: track west straight. They see how prepared we are. No,

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Speaker 1: it's starts a new kid war.

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Speaker 3: Okay, oh man, Redcon four missile coming.

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Speaker 1: Good, it's coming. But you see that. You see the

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Speaker 1: hurt when we detected an ICBM over the Pacific.

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Speaker 3: Current flight trajectory is consistent with impact somewhere in the

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Speaker 3: continental United States?

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Speaker 1: Have we seen that on two for fun? Is this real? Strack?

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Speaker 1: Com is asking for launch instructions right now? Oh no,

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Speaker 1: got the decision handbook to breathe. Oh boy, you're talking

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Speaker 1: about getting a bullet with you.

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Speaker 3: You're gonna grap an that bomb if you have a

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Speaker 3: missile coming, ask you yes, yeah, sure if we do

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Speaker 3: not take steps to neutralize our This is a different

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Speaker 3: trailer than I saw. I saw one on Netflix where

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Speaker 3: it was just like it played a minute or two

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Speaker 3: of the movie and it was that general guy, and

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Speaker 3: I go, this is bad.

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Speaker 1: This is bad acting person. We didn't hear anything, right right?

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Speaker 3: Oh anyway, oh boy, hold on, people are saying, Charlie

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Speaker 3: missed it, missed, missed, missed. Miss Let me see standby,

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Speaker 3: let me see if I can find this.

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Speaker 1: During the credits, there is a sound.

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Speaker 3: It's it's about two minutes into the credits.

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Speaker 1: What sound sounded like an explosion.

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Speaker 6: That's right, I guess, okay, but I think you only

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Speaker 6: have that if you have subtitles on.

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Speaker 1: That's what I'm reading. Also says okay.

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Speaker 5: That also still doesn't answer the number one question of

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Speaker 5: the film. Uh huh, I'm gonna totally ruin it now.

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Speaker 5: The number one question of the film is will the

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Speaker 5: President jump into action and is he gonna send launch?

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Speaker 5: Is he going to do a Lonch counter strike counter

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Speaker 5: strike right then? Or is he going to Yes, so

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Speaker 5: we knew what was going to happen. We knew that

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Speaker 5: bomb is going. They say that in the movie. They go,

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Speaker 5: we can't stop this bomb. It's coming and I'm ruining

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Speaker 5: the whole thing. It's gonna hit Chicago. It's Chicago's gone,

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Speaker 5: It's wiped off the map. There's no stopping this bomb.

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Speaker 5: They sent up some I don't remember what they call

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Speaker 5: k e kv's electronic kill vehicles or something boom to

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Speaker 5: try to hit this ICBM does not happen.

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Speaker 1: They cannot do it.

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Speaker 5: They didn't work, all right, So now they they go, okay, Arsenal,

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Speaker 5: it's going to hit your kago do we go against?

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Speaker 5: Do we do we launch or not? And that's the

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Speaker 5: how every every time it ends and it restarts, it

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Speaker 5: ends with the president saying I'm gonna do this is

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Speaker 5: basically he's about to say what his plan is, and

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Speaker 5: then it ends, and then it restarts in a different

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Speaker 5: you're seeing something else.

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Speaker 1: Then it gets to again, it gets the end of

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Speaker 1: you never said the bomb.

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Speaker 3: Okay, so you know that the missile hits, but you

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Speaker 3: say you already do what's gonna happen?

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Speaker 1: They mentioned that a bunch of times Chicago is gone.

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Speaker 1: What are we going to do about it?

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Speaker 5: Are we going to go after Russia who said they

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Speaker 5: they're not launching this? Are we going after North Korea?

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Speaker 5: Are we going to go after China? Who did this?

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Speaker 5: Did Tehran do this? And you're watching all this, okay,

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Speaker 5: can't wait to find the answers to this never said

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Speaker 5: they left open ended. I mean, he just didn't finish

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Speaker 5: the movie.

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Speaker 1: Anybody can do anything. It's not like Sopranos. That was

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Speaker 1: a great ending.

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Speaker 3: The Sopranos series like that, that was a great open ending.

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Speaker 1: I agree. I don't like these open endings. Finish it.

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Speaker 5: Oh, Sopranos, wasn't hours and hours of is Tony gonna

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Speaker 5: die or not?

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Speaker 1: Is Tony gonna die or not? That wasn't the old

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Speaker 1: basis of the show.

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Speaker 5: This this movie, the entire thing was will we react

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Speaker 5: to this and then and we don't know? Well, that's

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Speaker 5: the whole movie. That's what I'm waiting to see. Terrible

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Speaker 5: piece of dog crap says.

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Speaker 3: This is the only time that I've agreed with Charlie

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Speaker 3: and when it comes to movies. I watched it with

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Speaker 3: my wife and when it ended, we both looked at

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Speaker 3: each other and said, what the aff.

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Speaker 5: Charlie, I'm taking it goes to black and You're like,

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Speaker 5: all right, fourth scene coming up. Now we're gonna see

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00:19:40,560 --> 00:19:43,199
Speaker 5: the destruction what our plan is? And then instead the

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Speaker 5: titles come up and I went, you gotta be kidding me.

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Speaker 5: That was almost throw a TV through the remote, or

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Speaker 5: throw the remote through the TV.

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Speaker 1: TV clam it right down on here, we put off

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Speaker 1: the wall and splam it.

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Speaker 5: Believe somebody got paid for this. I can't believe it

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Speaker 5: was made. It's a piece of crap.

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Speaker 3: And there was I mean, well, that's like that one

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Speaker 3: I saw with the boat that Kara Knightley. She's on

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Speaker 3: this big mega yacht and it's like the Girl in

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00:20:07,920 --> 00:20:10,639
Speaker 3: Cabin ten or something like that. It seemed like that

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00:20:10,760 --> 00:20:12,800
Speaker 3: was gonna be a good movie. And that ending was

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Speaker 3: pretty stupid too. You just go, that's not the way

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Speaker 3: anybody would react if this is how that all goes down.

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00:20:18,680 --> 00:20:22,119
Speaker 5: I saw that when I was clicking through I saw

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Speaker 5: that when I was cooking through Netflix yesterday at first

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Speaker 5: to dynam House.

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00:20:27,560 --> 00:20:29,520
Speaker 1: The Dynamite came up first, and I said, what else

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Speaker 1: is there? Let me check.

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Speaker 5: I saw Girl Cabin ten and I said, Rover said

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00:20:33,320 --> 00:20:36,160
Speaker 5: that sucks, so we'll go House of Dynamite and a

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Speaker 5: terrible time.

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Speaker 1: The Girl like Cabin ten was better.

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Speaker 5: Yeah, it sounds like I was just saying justice to

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00:20:45,160 --> 00:20:48,760
Speaker 5: YouTube talk about movies makes for my entire faith in Hollywood,

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00:20:49,520 --> 00:20:51,400
Speaker 5: because I hate to say the last movie I saw

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Speaker 5: was Top Gun Maverick.

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Speaker 1: I haven't seen it, really seen the movie since well.

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00:20:55,359 --> 00:20:55,800
Speaker 1: I think that.

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00:20:57,359 --> 00:20:59,600
Speaker 3: I think, and I should be wrong about it, that

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00:20:59,680 --> 00:21:03,439
Speaker 3: these the way that these studios are making movies, or

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00:21:03,520 --> 00:21:06,760
Speaker 3: Netflix or Hulu and all these different streaming services, I

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00:21:06,800 --> 00:21:09,239
Speaker 3: think that they're not doing it with the care that

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Speaker 3: some of the big movie studios would back in the

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00:21:11,560 --> 00:21:15,720
Speaker 3: day twenty years ago. Let's say, where they're you know,

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00:21:16,680 --> 00:21:19,800
Speaker 3: they have so much money that's being thrown around now

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Speaker 3: that some of this garbage does get made. I just

427
00:21:22,480 --> 00:21:27,280
Speaker 3: don't think there's the same maybe process and methodology that's

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Speaker 3: taking place.

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Speaker 1: But all right, I've got to take a break.

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Speaker 3: Jimmy agrees with me. Girl in Cabin ten horrible movie.

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00:21:34,359 --> 00:21:37,800
Speaker 3: Yes it is. We will be right back on Rover's

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Speaker 3: Morning Glory.

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Speaker 1: Hang on the only radio show that makes.

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Speaker 2: You want to take a shower after listening.

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00:21:44,520 --> 00:21:47,600
Speaker 1: To it, Golden Shower Warriors. I mean, I'm completely covered.

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Speaker 2: Welcome back to Rovers Morning Glory.

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Speaker 3: Steve in Middleburg Heights says, a movie is split into

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Speaker 3: three parts.

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00:22:26,160 --> 00:22:28,879
Speaker 1: This is what's it called the House of Dynamite. House

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00:22:28,920 --> 00:22:30,840
Speaker 1: of Dynamite.

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Speaker 3: The movie is split into three parts which pretty much

442
00:22:33,080 --> 00:22:36,960
Speaker 3: show the exact sequence from three unique perspectives. I found

443
00:22:37,000 --> 00:22:40,840
Speaker 3: it very entertaining and would recommend it myself. The weight

444
00:22:40,960 --> 00:22:43,600
Speaker 3: of the situation and how it affects each of these

445
00:22:43,640 --> 00:22:46,360
Speaker 3: groups of people is gripping.

446
00:22:46,600 --> 00:22:49,600
Speaker 5: You see it though in the first time there's nothing

447
00:22:49,760 --> 00:22:51,040
Speaker 5: really that new.

448
00:22:51,119 --> 00:22:52,960
Speaker 1: There's some slight things that happen.

449
00:22:53,080 --> 00:22:55,040
Speaker 5: You go, Okay, I don't know that's what was going

450
00:22:55,080 --> 00:22:57,120
Speaker 5: on behind the scenes at the Southern But you know

451
00:22:57,200 --> 00:23:05,560
Speaker 5: what everybody's on that zoom calls gonna to say because you've.

452
00:23:03,520 --> 00:23:05,679
Speaker 1: Already seen it and I can't prove it.

453
00:23:07,400 --> 00:23:12,440
Speaker 5: What's the name Iddris Elba, Iddress Elba his nay, yeah,

454
00:23:12,480 --> 00:23:15,960
Speaker 5: the actor. He's the president, but he does the show.

455
00:23:16,040 --> 00:23:18,920
Speaker 5: They don't actually show him until the last segment. He

456
00:23:19,000 --> 00:23:24,359
Speaker 5: was just on a zoom call. Was him just a

457
00:23:24,600 --> 00:23:26,840
Speaker 5: just a blank screen? You can just hear him speaking

458
00:23:26,880 --> 00:23:28,760
Speaker 5: the entire time, and then it's like a big reveal, Oh,

459
00:23:28,760 --> 00:23:29,160
Speaker 5: it's him.

460
00:23:29,680 --> 00:23:32,959
Speaker 1: They couldn't afford they can only afford him for all

461
00:23:33,000 --> 00:23:35,439
Speaker 1: I got an hour. I think that was it.

462
00:23:35,560 --> 00:23:37,919
Speaker 5: I think they couldn't afford him, and I think they

463
00:23:38,000 --> 00:23:40,119
Speaker 5: used a different voice actor when he was on the phone,

464
00:23:40,520 --> 00:23:42,359
Speaker 5: because when he pops up a goo, that was it.

465
00:23:42,440 --> 00:23:44,760
Speaker 5: I know that guy's voice that's not him. Throughout the

466
00:23:44,800 --> 00:23:47,040
Speaker 5: first two thirds of the movie, they used a different

467
00:23:47,080 --> 00:23:49,280
Speaker 5: person's voice. And I don't know why they did that,

468
00:23:49,680 --> 00:23:51,560
Speaker 5: some sort of cheapness or something.

469
00:23:51,600 --> 00:23:54,720
Speaker 3: But they used Ai and AI version of him. And

470
00:23:54,800 --> 00:23:56,560
Speaker 3: it doesn't Let's not forget the.

471
00:23:56,760 --> 00:24:00,280
Speaker 5: Random Angel Reese a cameo in the middle of this

472
00:24:00,320 --> 00:24:05,800
Speaker 5: movie too, but the basket of the women's basketball play

473
00:24:05,960 --> 00:24:09,719
Speaker 5: the president's doing when he gets the call. He is

474
00:24:09,920 --> 00:24:15,359
Speaker 5: at a conference for w NBA or something. He's like

475
00:24:15,400 --> 00:24:18,520
Speaker 5: a children's charity thing for basketball. Angel reasons.

476
00:24:18,600 --> 00:24:21,840
Speaker 3: There's a lot of DEI in this movie here, Charlie,

477
00:24:21,920 --> 00:24:23,240
Speaker 3: or am I just making that up?

478
00:24:24,080 --> 00:24:25,760
Speaker 1: I didn't take that. I just thought it was random

479
00:24:25,880 --> 00:24:26,560
Speaker 1: sports person.

480
00:24:26,600 --> 00:24:28,800
Speaker 5: Just let's throw Angel reason in the middle of the

481
00:24:28,800 --> 00:24:31,600
Speaker 5: movie for no reason, in the middle of this were

482
00:24:32,760 --> 00:24:35,560
Speaker 5: very serious movie. And then and then the president goes

483
00:24:35,600 --> 00:24:37,359
Speaker 5: and plays basketball with her.

484
00:24:37,280 --> 00:24:39,879
Speaker 1: Big eyelash just does she have the big eyelashes on

485
00:24:39,920 --> 00:24:40,359
Speaker 1: her too much?

486
00:24:40,400 --> 00:24:42,399
Speaker 5: I don't know if she even said any words, but

487
00:24:42,600 --> 00:24:45,720
Speaker 5: you know she's in it. It's good you watch the movie,

488
00:24:46,520 --> 00:24:48,840
Speaker 5: all right, Well, then it does.

489
00:24:49,480 --> 00:24:53,359
Speaker 3: Okay, so it did take off the box of black

490
00:24:53,400 --> 00:24:56,520
Speaker 3: president that's required I've said this in the past. Any

491
00:24:56,600 --> 00:25:00,080
Speaker 3: sort of new Netflix show or movie has to have

492
00:25:00,119 --> 00:25:04,920
Speaker 3: a couple of things, a checklist basically of here's how

493
00:25:04,960 --> 00:25:05,880
Speaker 3: diverse we are.

494
00:25:06,400 --> 00:25:07,560
Speaker 1: That would tick a box.

495
00:25:07,560 --> 00:25:10,760
Speaker 3: They're black presidents, it's a good president, good for everyone.

496
00:25:12,200 --> 00:25:13,680
Speaker 1: Were there any.

497
00:25:15,600 --> 00:25:20,240
Speaker 3: Transgender people in this movie, because I have to almost

498
00:25:20,320 --> 00:25:22,720
Speaker 3: like it'd be sort of hard to shoehorn that in,

499
00:25:22,800 --> 00:25:25,280
Speaker 3: like you know, the general or whatever, like is the

500
00:25:26,080 --> 00:25:27,200
Speaker 3: trans was the.

501
00:25:27,200 --> 00:25:28,480
Speaker 1: Secretary of health? Yeah?

502
00:25:30,160 --> 00:25:30,320
Speaker 2: Hurt.

503
00:25:30,520 --> 00:25:33,480
Speaker 3: So this definitely is not the Biden administration being portrayed as.

504
00:25:33,440 --> 00:25:34,360
Speaker 1: What you're telling me.

505
00:25:34,680 --> 00:25:38,200
Speaker 5: No, this is an imaginary Everything seems to be working,

506
00:25:38,200 --> 00:25:40,040
Speaker 5: people are talking, and that people seem to know what's

507
00:25:40,080 --> 00:25:41,879
Speaker 5: going on. I don't think it's the Biden or the

508
00:25:41,920 --> 00:25:44,199
Speaker 5: Trump one. It was just amazing, like this is how

509
00:25:44,240 --> 00:25:48,000
Speaker 5: government should work. As you're watching, now, we're shut down.

510
00:25:48,000 --> 00:25:50,600
Speaker 3: Now that general is actually just staying at home working

511
00:25:50,640 --> 00:25:52,919
Speaker 3: from home because we don't have the budget. Now, Okay,

512
00:25:53,720 --> 00:25:56,480
Speaker 3: Tiffany and Brooklyn says, Charlie's right about that movie. I

513
00:25:56,560 --> 00:25:59,520
Speaker 3: was pissed about the ending. I felt like I wasted

514
00:25:59,720 --> 00:26:03,200
Speaker 3: a great amount of time for that kind of ending.

515
00:26:06,280 --> 00:26:08,240
Speaker 3: All right, Now, you said that maybe they used a

516
00:26:08,240 --> 00:26:10,600
Speaker 3: different voice actor, and I said, well, maybe it was

517
00:26:10,640 --> 00:26:13,440
Speaker 3: AI and it just didn't sound perfectly A I did

518
00:26:13,640 --> 00:26:19,040
Speaker 3: fool somebody, and apparently it fooled Fox News because people

519
00:26:19,080 --> 00:26:21,760
Speaker 3: were using I don't know if it's Sora or what

520
00:26:21,920 --> 00:26:25,200
Speaker 3: they were using, but they generated AI.

521
00:26:25,040 --> 00:26:26,120
Speaker 1: Video of.

522
00:26:27,880 --> 00:26:32,200
Speaker 3: Alleged Snap recipients. And now I haven't seen this video.

523
00:26:33,280 --> 00:26:35,760
Speaker 3: Well there's I did see. I did see that people

524
00:26:35,800 --> 00:26:41,280
Speaker 3: were sending me emails and it was screen grabs and

525
00:26:41,480 --> 00:26:42,440
Speaker 3: videos of.

526
00:26:44,000 --> 00:26:45,240
Speaker 1: Snap recipients.

527
00:26:45,240 --> 00:26:49,040
Speaker 3: And I didn't delve too deep into this because you know,

528
00:26:49,080 --> 00:26:50,840
Speaker 3: some of them. I would just see it was like

529
00:26:51,600 --> 00:26:56,080
Speaker 3: a still frame and then you know the guy or

530
00:26:56,119 --> 00:26:57,360
Speaker 3: you know, it was like a meme.

531
00:26:57,240 --> 00:26:59,720
Speaker 1: Basically, and it would be about how.

532
00:26:59,600 --> 00:27:02,600
Speaker 3: You know, the the government is obligated to pay for

533
00:27:02,720 --> 00:27:06,439
Speaker 3: my food or whatever, you know, and it's like a

534
00:27:07,240 --> 00:27:08,040
Speaker 3: generally like.

535
00:27:09,560 --> 00:27:10,520
Speaker 1: The ones that I saw.

536
00:27:10,600 --> 00:27:14,520
Speaker 3: It's like a big, fat black lady with ten kids

537
00:27:14,560 --> 00:27:18,879
Speaker 3: behind her or whatever. And I saw that and I go,

538
00:27:19,600 --> 00:27:23,400
Speaker 3: I don't know if that's legit, but I wasn't curious

539
00:27:23,520 --> 00:27:27,320
Speaker 3: enough to actually click on it and find out. Apparently

540
00:27:27,920 --> 00:27:31,480
Speaker 3: Fox News they did click on it, they found out

541
00:27:31,600 --> 00:27:34,480
Speaker 3: and they were duped by the AI video They.

542
00:27:34,359 --> 00:27:38,880
Speaker 1: Wrote an entire article about how Snap.

543
00:27:40,000 --> 00:27:47,560
Speaker 3: Recipients are now complaining and threatening utter destruction, vandalizing stores

544
00:27:47,720 --> 00:27:51,359
Speaker 3: if their Snap benefits are cut off, that they're going

545
00:27:51,440 --> 00:27:55,240
Speaker 3: to basically riot. And then it turns out, you know,

546
00:27:55,440 --> 00:28:00,280
Speaker 3: spoiler alert like Charlie did with the movie Chicago Blown Up.

547
00:28:01,520 --> 00:28:04,280
Speaker 1: Well maybe we don't get to see it, but a

548
00:28:04,320 --> 00:28:05,199
Speaker 1: spoiler alert.

549
00:28:05,240 --> 00:28:12,720
Speaker 3: This was all AI generated video from probably I'm guessing, well,

550
00:28:12,760 --> 00:28:14,919
Speaker 3: I don't know who, probably four chan kind of guys,

551
00:28:14,960 --> 00:28:19,439
Speaker 3: you know, like right wing, yeah, racist guys making this

552
00:28:19,480 --> 00:28:20,240
Speaker 3: AI generated.

553
00:28:20,280 --> 00:28:23,160
Speaker 1: This is the one that Fox had.

554
00:28:24,080 --> 00:28:27,320
Speaker 5: I think it's really hard to say because they deleted

555
00:28:27,320 --> 00:28:29,679
Speaker 5: that article and they're not mentioning that they well.

556
00:28:29,520 --> 00:28:31,800
Speaker 3: No, they didn't delete the article. What they did was

557
00:28:31,880 --> 00:28:37,520
Speaker 3: they changed the article and the original headline was Snap

558
00:28:37,600 --> 00:28:42,600
Speaker 3: beneficiaries threatened to ransack stores over government shutdown. That was

559
00:28:42,640 --> 00:28:47,240
Speaker 3: their first hell okay, Then they just replaced the headline

560
00:28:47,680 --> 00:28:52,960
Speaker 3: with AI Videos of Snap beneficiaries complaining about cuts goes viral,

561
00:28:54,800 --> 00:28:57,080
Speaker 3: So they just kept the same article pretty much but

562
00:28:57,160 --> 00:28:58,080
Speaker 3: a different headline.

563
00:28:58,120 --> 00:28:59,880
Speaker 1: To goo like, oh, you know, first we thought this

564
00:29:00,080 --> 00:29:02,720
Speaker 1: is oh, it was AI. Forget about it. Here's the

565
00:29:02,880 --> 00:29:03,320
Speaker 1: nub one.

566
00:29:03,440 --> 00:29:06,160
Speaker 5: I think they had, which is interesting if it is true,

567
00:29:06,200 --> 00:29:07,200
Speaker 5: because it's a.

568
00:29:07,000 --> 00:29:10,920
Speaker 1: Fox local Fox reporter. That's AI. But if you put

569
00:29:10,960 --> 00:29:14,040
Speaker 1: it up you can see it's a Fox five. Okay.

570
00:29:14,240 --> 00:29:16,920
Speaker 5: Fox could have reached out and went, hey, is this legit?

571
00:29:17,120 --> 00:29:20,600
Speaker 5: And they didn't. But here's this lady talking.

572
00:29:20,720 --> 00:29:23,560
Speaker 1: Get over twenty five hundred a month and stamps. I

573
00:29:23,720 --> 00:29:24,800
Speaker 1: sell them two.

574
00:29:24,560 --> 00:29:27,840
Speaker 7: Thousand worth for about twelve to fifteen hundred cash.

575
00:29:28,080 --> 00:29:29,479
Speaker 1: That's why everybody's upset.

576
00:29:29,680 --> 00:29:32,000
Speaker 4: Folks say we're taking advantage, but that's how we get by.

577
00:29:32,120 --> 00:29:34,520
Speaker 1: And that's the frustration we're hearing out here in downtown Atlanta.

578
00:29:34,720 --> 00:29:37,000
Speaker 5: So she's saying she sells her food stamps. Now that's

579
00:29:37,080 --> 00:29:39,960
Speaker 5: one that's okay. Now I have a whole.

580
00:29:39,760 --> 00:29:42,840
Speaker 1: Complimentarily, you'd really be you'd really.

581
00:29:42,600 --> 00:29:44,840
Speaker 3: Have egg on your face if this turns out to

582
00:29:45,000 --> 00:29:47,760
Speaker 3: not be AI. What if that was a real video

583
00:29:47,840 --> 00:29:49,800
Speaker 3: that you just showed as you're trying to find these

584
00:29:49,840 --> 00:29:51,320
Speaker 3: AI generated videos?

585
00:29:51,560 --> 00:29:55,440
Speaker 1: Would But I'm not stupid, so I know what AI is.

586
00:29:55,560 --> 00:29:58,240
Speaker 1: So that's AI. You could just tell hearing her voice

587
00:29:58,280 --> 00:30:01,160
Speaker 1: and everything, that's AI. So TikTok account was called what if?

588
00:30:01,560 --> 00:30:04,440
Speaker 5: Yes? So no, I'm not a dumb ass. So I

589
00:30:04,480 --> 00:30:07,800
Speaker 5: could tell immediately that's a I but I would if

590
00:30:07,800 --> 00:30:09,600
Speaker 5: I if that was true, I would have an egg

591
00:30:09,680 --> 00:30:10,160
Speaker 5: on my face.

592
00:30:10,360 --> 00:30:11,080
Speaker 1: I don't think I do.

593
00:30:11,520 --> 00:30:14,400
Speaker 5: Here is a compilation of some other ones and they're

594
00:30:14,400 --> 00:30:17,520
Speaker 5: all a very similar wording, and a bunch of them.

595
00:30:17,760 --> 00:30:20,240
Speaker 1: Y'all. Hemmy, they're come in the government shutdown. They're telling

596
00:30:20,240 --> 00:30:22,040
Speaker 1: me I can't use my eb C and no member.

597
00:30:22,280 --> 00:30:23,920
Speaker 6: I got seven kids with seven men.

598
00:30:24,280 --> 00:30:27,800
Speaker 1: Seven and that's the tax payer responsibility. Okay, y'all, do

599
00:30:27,880 --> 00:30:30,200
Speaker 1: you hear me this? This government shut down. I can't

600
00:30:30,280 --> 00:30:32,360
Speaker 1: use my eb C and no member. I got seven

601
00:30:32,440 --> 00:30:34,360
Speaker 1: kids with seven different men. The beetle.

602
00:30:34,600 --> 00:30:35,240
Speaker 5: This is not on me.

603
00:30:35,360 --> 00:30:40,040
Speaker 1: This is your taxpayer's responsibility is shutdown?

604
00:30:41,360 --> 00:30:41,800
Speaker 3: No member?

605
00:30:41,960 --> 00:30:43,520
Speaker 1: I got seven what's seven?

606
00:30:43,640 --> 00:30:43,800
Speaker 4: Day?

607
00:30:44,520 --> 00:30:44,880
Speaker 5: The beetle?

608
00:30:47,880 --> 00:30:48,440
Speaker 2: No member?

609
00:30:54,600 --> 00:30:57,720
Speaker 1: So there you go there, So what is so? What

610
00:30:58,160 --> 00:30:59,960
Speaker 1: tell me what happened here? Exactly?

611
00:31:00,240 --> 00:31:03,640
Speaker 3: So somebody was there a real video that was made

612
00:31:03,880 --> 00:31:10,120
Speaker 3: and then people, uh, you know this inerrated stuff?

613
00:31:10,800 --> 00:31:13,840
Speaker 1: Where is it all just AI? And then somebody else

614
00:31:13,960 --> 00:31:15,160
Speaker 1: does AI with this?

615
00:31:15,240 --> 00:31:17,800
Speaker 5: Oh yeah, it's trend yeah, And then I think you

616
00:31:17,920 --> 00:31:20,200
Speaker 5: just keep pumping them out. So this guy explains it

617
00:31:20,240 --> 00:31:23,280
Speaker 5: a bit. This guy explains why they're doing it.

618
00:31:23,680 --> 00:31:26,320
Speaker 1: This is AI. Here's how we know and why it matters.

619
00:31:26,400 --> 00:31:30,560
Speaker 7: It's made by impossible underscore ASMR one who, after eh

620
00:31:30,680 --> 00:31:33,120
Speaker 7: failed slot posts and a three month break, decided but

621
00:31:33,280 --> 00:31:36,720
Speaker 7: SORA could finally make their dream content video.

622
00:31:36,920 --> 00:31:39,360
Speaker 5: So so first they had tried different content. They're doing

623
00:31:39,440 --> 00:31:43,280
Speaker 5: some weird slicing videos like not is it cake? But

624
00:31:43,360 --> 00:31:46,880
Speaker 5: there's these videos of knives going through. Nobody's watching those, Noo,

625
00:31:47,280 --> 00:31:49,400
Speaker 5: they're trying. Then they took three months off, and then

626
00:31:49,440 --> 00:31:51,560
Speaker 5: they started new genre.

627
00:31:51,320 --> 00:31:55,200
Speaker 7: Dream content videos of black women trying to use EBT

628
00:31:55,440 --> 00:31:56,760
Speaker 7: in places it's not accepted.

629
00:31:57,080 --> 00:31:59,320
Speaker 1: True creativity unleashed by AI.

630
00:31:59,600 --> 00:32:02,000
Speaker 7: The shot down created an opportunity to have them yell

631
00:32:02,040 --> 00:32:04,400
Speaker 7: at the camera, but it's not till the whole family's

632
00:32:04,440 --> 00:32:07,680
Speaker 7: back there that the full racist stereotype is fulfilled. This

633
00:32:07,840 --> 00:32:10,800
Speaker 7: is rage bait, and we'll get angry commenters who, when

634
00:32:10,880 --> 00:32:14,000
Speaker 7: they learn it's AI, will say, oh, but it's true anyway,

635
00:32:14,080 --> 00:32:16,480
Speaker 7: which of course it's not, And that's cope for being played.

636
00:32:16,720 --> 00:32:19,480
Speaker 7: They were so played they didn't notice the kid missing

637
00:32:19,640 --> 00:32:22,000
Speaker 7: half an arm while the other kids are frozen in

638
00:32:22,120 --> 00:32:25,120
Speaker 7: place for no reason, and these down here are warping

639
00:32:25,240 --> 00:32:28,240
Speaker 7: together they were too focused on this fake AI person

640
00:32:28,400 --> 00:32:31,040
Speaker 7: cramming in a script that they used three other times

641
00:32:31,200 --> 00:32:31,640
Speaker 7: for their.

642
00:32:31,520 --> 00:32:32,760
Speaker 1: Other fake AI people.

643
00:32:33,120 --> 00:32:35,920
Speaker 7: I will gladly knock down AI rage bait of all

644
00:32:36,040 --> 00:32:38,680
Speaker 7: kinds and from anywhere on a spectrum, because it's part

645
00:32:38,800 --> 00:32:42,120
Speaker 7: of the same problem, casually letting our feed slip into

646
00:32:42,280 --> 00:32:46,280
Speaker 7: fake parallel AI universes that exist only to divide us.

647
00:32:46,520 --> 00:32:50,160
Speaker 3: Well, this is like okay, So open Ai started Sora,

648
00:32:50,320 --> 00:32:53,400
Speaker 3: that video generator, and I think we all played around

649
00:32:53,480 --> 00:32:57,640
Speaker 3: with it six months ago or whatever. We were all

650
00:32:58,840 --> 00:33:04,400
Speaker 3: fairly amazed what it could do, and we were thinking about, oh,

651
00:33:05,320 --> 00:33:09,320
Speaker 3: how was how could you use this in production Hollywood

652
00:33:09,720 --> 00:33:15,240
Speaker 3: TV shows, movies? How could somebody on a shoe string budget,

653
00:33:15,320 --> 00:33:18,120
Speaker 3: you know, like a twenty four year old guy just

654
00:33:18,240 --> 00:33:21,240
Speaker 3: out of film school or something, how could he use

655
00:33:21,400 --> 00:33:26,080
Speaker 3: this technology to enhance his first movie that he makes

656
00:33:26,200 --> 00:33:30,160
Speaker 3: or whatever? And I thought the results were pretty I

657
00:33:30,200 --> 00:33:32,760
Speaker 3: mean pretty good. We analyzed them. Remember that video of

658
00:33:32,880 --> 00:33:35,400
Speaker 3: like people walking through Japan, like the first stuff that

659
00:33:35,560 --> 00:33:37,680
Speaker 3: SOA put out and it was like a woman walking

660
00:33:37,760 --> 00:33:40,520
Speaker 3: through Japan in the rain, and you're like, WHOA, that

661
00:33:40,680 --> 00:33:42,440
Speaker 3: looks looks not perfect.

662
00:33:42,600 --> 00:33:46,840
Speaker 1: There's some glitches, but Damn, that looks pretty good. Now.

663
00:33:46,960 --> 00:33:49,960
Speaker 3: What they've done is they've shifted instead of saying, Okay,

664
00:33:50,040 --> 00:33:52,560
Speaker 3: we want people to pay for this and we want Hollywood.

665
00:33:52,560 --> 00:33:54,560
Speaker 1: I'm sure they still have a whole plan with that.

666
00:33:54,760 --> 00:34:01,160
Speaker 3: But they have created a social media network TikTok. But

667
00:34:01,320 --> 00:34:05,560
Speaker 3: it's instead of you posting videos of yourself dancing or whatever,

668
00:34:06,320 --> 00:34:08,920
Speaker 3: you just type the video you want to post and

669
00:34:09,000 --> 00:34:12,760
Speaker 3: it's all. It's a social network of AI generated video.

670
00:34:13,040 --> 00:34:17,560
Speaker 3: Like it's to me, that's also insane, Like, I what's

671
00:34:17,680 --> 00:34:18,440
Speaker 3: the point of that?

672
00:34:18,680 --> 00:34:19,160
Speaker 1: Exactly.

673
00:34:19,360 --> 00:34:23,400
Speaker 3: It's it's already I mean, it's already too much because

674
00:34:23,440 --> 00:34:24,400
Speaker 3: people are sending.

675
00:34:24,200 --> 00:34:29,120
Speaker 1: Me this stuff non stop, and no stop, non do

676
00:34:29,200 --> 00:34:32,040
Speaker 1: you look at this? Yes, it's it's fake, I said,

677
00:34:32,719 --> 00:34:33,280
Speaker 1: and even.

678
00:34:33,120 --> 00:34:35,960
Speaker 3: The stuff that is obviously fake, and I assume they

679
00:34:36,200 --> 00:34:37,120
Speaker 3: know that it's fake.

680
00:34:37,920 --> 00:34:41,880
Speaker 1: I think maybe they don't. But even if it weren't,

681
00:34:41,920 --> 00:34:46,280
Speaker 1: you go, that's not even it's it's just not that entertaining.

682
00:34:46,440 --> 00:34:47,440
Speaker 1: But it's just not.

683
00:34:47,840 --> 00:34:49,520
Speaker 5: And this is what we're trying to tell you. Two

684
00:34:49,560 --> 00:34:52,680
Speaker 5: weeks ago over about how stupid generative AI was. You're like, oh,

685
00:34:52,840 --> 00:34:54,960
Speaker 5: somebody could use it and they could do this. Nobody's

686
00:34:55,000 --> 00:34:56,080
Speaker 5: using it. For any real stuff.

687
00:34:56,120 --> 00:34:56,520
Speaker 1: They're using it.

688
00:34:56,680 --> 00:35:00,279
Speaker 3: No, I think I think that this technology could be Yes,

689
00:35:00,480 --> 00:35:03,400
Speaker 3: are the are the vast majority of people who are

690
00:35:03,480 --> 00:35:05,320
Speaker 3: you know, they're going to use it for stupid stuff

691
00:35:05,400 --> 00:35:05,560
Speaker 3: like this.

692
00:35:05,680 --> 00:35:06,480
Speaker 1: But the only thing, I.

693
00:35:06,480 --> 00:35:08,120
Speaker 5: Think, the only way we can go back right now

694
00:35:09,400 --> 00:35:12,560
Speaker 5: possibly you have to price out everybody. We're only a

695
00:35:12,640 --> 00:35:16,719
Speaker 5: studio can afford to to use ASI because this should

696
00:35:16,760 --> 00:35:17,880
Speaker 5: not be in the hands of everybody.

697
00:35:18,320 --> 00:35:21,120
Speaker 3: It really just shouldn't. Oh, it's out there. It's unleashed,

698
00:35:21,280 --> 00:35:23,319
Speaker 3: like you can't put the genie back in the bottle. Now.

699
00:35:23,400 --> 00:35:25,680
Speaker 3: Now that this technology is out and some of this

700
00:35:25,760 --> 00:35:28,200
Speaker 3: stuff is open source, not not the you know, the

701
00:35:28,920 --> 00:35:31,560
Speaker 3: people will be able to create this, run it locally,

702
00:35:31,800 --> 00:35:34,759
Speaker 3: train it on various things. It's just it's you can't

703
00:35:34,800 --> 00:35:38,239
Speaker 3: put the toothpaste back in the tube. It's it's out

704
00:35:38,280 --> 00:35:43,200
Speaker 3: there now. But I do still maintain that creative people

705
00:35:43,320 --> 00:35:49,480
Speaker 3: can use this for to create a potential masterpiece. Perhaps

706
00:35:49,680 --> 00:35:52,759
Speaker 3: you know, maybe not this week or neck this month

707
00:35:52,880 --> 00:35:56,279
Speaker 3: or whatever, but in the near future you can I'm

708
00:35:56,320 --> 00:35:58,400
Speaker 3: sure create incredible.

709
00:35:57,880 --> 00:35:58,759
Speaker 1: Things with it.

710
00:35:59,239 --> 00:36:02,200
Speaker 5: I think un't seen it yet. A generative AI song

711
00:36:02,719 --> 00:36:07,920
Speaker 5: is now on the Billboard charts. There's finally one on

712
00:36:07,960 --> 00:36:14,160
Speaker 5: the Billboard charts. I think, hey, I woman Zana Monet.

713
00:36:15,040 --> 00:36:15,439
Speaker 1: Mm hmm.

714
00:36:15,920 --> 00:36:20,000
Speaker 5: First she's going to earn enough radio airplay to debut

715
00:36:20,080 --> 00:36:21,120
Speaker 5: on the Billboard charts.

716
00:36:24,440 --> 00:36:28,239
Speaker 3: So, for instance, iHeart is playing AI generated music now

717
00:36:29,280 --> 00:36:31,800
Speaker 3: in order to get airplay, I mean in order. I

718
00:36:31,840 --> 00:36:33,960
Speaker 3: mean you'd have to have a big company like us

719
00:36:34,400 --> 00:36:37,439
Speaker 3: play your stuff in order to get on the charts. So, yes,

720
00:36:37,640 --> 00:36:43,960
Speaker 3: I don't know here she is? Uh that's her uh huh?

721
00:36:44,719 --> 00:36:49,080
Speaker 3: And I don't know her song? How was I supposed

722
00:36:49,120 --> 00:36:51,480
Speaker 3: to know? Okay, let's see, let's see if you want

723
00:36:51,480 --> 00:36:53,839
Speaker 3: to hear this. Yeah, I do want to hear this. Okay, Yes,

724
00:36:54,480 --> 00:36:55,960
Speaker 3: there's even a video. I want to see her.

725
00:36:56,600 --> 00:36:59,360
Speaker 5: I don't think there's a video, but it already has

726
00:36:59,440 --> 00:37:01,320
Speaker 5: five point five million views.

727
00:37:01,880 --> 00:37:18,560
Speaker 1: M hum. He didn't want me down the stairs.

728
00:37:18,840 --> 00:37:22,120
Speaker 2: She didn't want me about them boys who wouldn't care,

729
00:37:23,239 --> 00:37:26,120
Speaker 2: didn't tell me what a real man sounds like.

730
00:37:26,880 --> 00:37:32,920
Speaker 1: So I fell food. This is AI generated checked My

731
00:37:33,120 --> 00:37:36,960
Speaker 1: friends never show me. That's pretty good? Damns. Good for you.

732
00:37:38,719 --> 00:37:43,200
Speaker 3: You disagree, Charlie Good The voices away sounds weird, but

733
00:37:44,080 --> 00:37:46,440
Speaker 3: you wouldn't if you didn't know this was AI I

734
00:37:46,520 --> 00:37:47,279
Speaker 3: don't think he would.

735
00:37:47,640 --> 00:37:49,560
Speaker 1: You wouldn't be like, yeah, I tell you I. I

736
00:37:49,600 --> 00:37:53,120
Speaker 1: could tell you I sound snow. I could tell that

737
00:37:53,200 --> 00:38:00,279
Speaker 1: from the voice to deep horrible to the voices form.

738
00:38:00,719 --> 00:38:11,960
Speaker 1: But right now shown me. This is just an effect

739
00:38:12,000 --> 00:38:14,680
Speaker 1: that they put on. But if every AI has the.

740
00:38:14,680 --> 00:38:18,280
Speaker 4: Same effect, so oh for me, it's always the lyrics.

741
00:38:18,600 --> 00:38:22,200
Speaker 1: The lyrics too simple. Yes, that bothers me, but this

742
00:38:22,360 --> 00:38:26,840
Speaker 1: isn't there too simple? Yeah, well, lyrics are too simple.

743
00:38:26,920 --> 00:38:29,000
Speaker 1: Have you been paying attention to music for the past

744
00:38:29,120 --> 00:38:32,440
Speaker 1: twenty years. I mean we've talked about it numerous times

745
00:38:32,480 --> 00:38:32,960
Speaker 1: on the show.

746
00:38:33,120 --> 00:38:36,160
Speaker 3: Some of these songs, like they have like honestly, like

747
00:38:36,360 --> 00:38:38,120
Speaker 3: three words, I don't know, like.

748
00:38:38,160 --> 00:38:41,560
Speaker 1: What they just gonna say Gucci Gang.

749
00:38:42,360 --> 00:38:46,880
Speaker 6: It's gonna say that Cuccie Gang was good, Cucci Gucci, Gucci.

750
00:38:47,640 --> 00:38:50,320
Speaker 1: And I think is it just repeat that over and

751
00:38:50,400 --> 00:38:53,919
Speaker 1: over and over again or different variations.

752
00:38:54,880 --> 00:38:58,080
Speaker 3: Yeah, we've played some of these. But yes, AI, that's

753
00:38:58,160 --> 00:39:02,719
Speaker 3: the tip off. The lyrics are simple. I always written weird.

754
00:39:02,760 --> 00:39:04,680
Speaker 3: There is something weird about all the AI lyrics that

755
00:39:04,760 --> 00:39:10,440
Speaker 3: are just off. Well, it sounded pretty good. Honestly, that

756
00:39:10,560 --> 00:39:12,960
Speaker 3: sounded I thought, that's not it? It really good.

757
00:39:13,320 --> 00:39:15,960
Speaker 1: Yeah, if you didn't tell me that that was a I,

758
00:39:16,200 --> 00:39:18,640
Speaker 1: I would have no clue that that now was creating.

759
00:39:18,719 --> 00:39:21,520
Speaker 1: That Is it some musician? Is it somebody who is

760
00:39:21,560 --> 00:39:22,719
Speaker 1: a skilled composer?

761
00:39:22,880 --> 00:39:25,640
Speaker 3: Behind that a producer, nerdy looking white guy who's like,

762
00:39:26,880 --> 00:39:27,960
Speaker 3: let's have a black chick.

763
00:39:27,880 --> 00:39:35,919
Speaker 1: Singe spread their arrest on the good name. I can't

764
00:39:35,960 --> 00:39:40,759
Speaker 1: buy what rang Red Goal and Bob all Mans. You

765
00:39:41,200 --> 00:39:43,200
Speaker 1: can't w gave what you gave? What you gag? What'd

766
00:39:43,239 --> 00:39:43,520
Speaker 1: you gang?

767
00:39:43,600 --> 00:39:43,719
Speaker 2: Hey?

768
00:39:43,800 --> 00:39:46,040
Speaker 6: I wouldn't be able to get never you can't you

769
00:39:46,120 --> 00:39:49,440
Speaker 6: can't create that might a bottle? Yeah, rhyme guccie game

770
00:39:49,480 --> 00:39:54,719
Speaker 6: with ball Mans? I mean, come on, all right, we

771
00:39:54,840 --> 00:39:58,000
Speaker 6: do have to check in on our draft king.

772
00:39:58,239 --> 00:40:02,239
Speaker 3: Yes, let's check and Chocolate Charlie. Has he pulled off

773
00:40:02,400 --> 00:40:03,640
Speaker 3: another victory?

774
00:40:04,120 --> 00:40:08,880
Speaker 1: Check in? Did I finally claw my way back up?

775
00:40:09,200 --> 00:40:14,080
Speaker 3: No? I can't wait to find out did Jeffrey finally

776
00:40:15,080 --> 00:40:18,360
Speaker 3: move up a notch? Is Snitzer or Crystal out of

777
00:40:18,640 --> 00:40:21,600
Speaker 3: money because they're in last place? All right, we'll find

778
00:40:21,640 --> 00:40:24,600
Speaker 3: out in just a few minutes. We'll also get to

779
00:40:24,680 --> 00:40:26,520
Speaker 3: the shizzy the news coming up? What do you have

780
00:40:26,600 --> 00:40:27,239
Speaker 3: on the way, dude?

781
00:40:27,239 --> 00:40:31,240
Speaker 4: Shoather close call with some airplanes, I'll tell you where next.

782
00:40:32,360 --> 00:40:34,760
Speaker 1: We'll be right back on Rovery's Morning Glory.

783
00:40:34,880 --> 00:40:35,320
Speaker 7: Hang on,