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Speaker 1: This here's a podcast.

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Speaker 2: Welcome to the podcast. Greetings, greetings, wherever the cast may

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Speaker 2: find you. We've got we've got a really interesting podcast today.

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Speaker 3: Mating calls. It's quite interesting.

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Speaker 2: We're all animals, but we don't make mating calls, you

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Speaker 2: would say, like the rest of the animal king.

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Speaker 4: I think we do. Actually, I think we're very similar.

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Speaker 3: All right, Okay, so what's that grunt?

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Speaker 4: Well, some do, don't they. Sometimes it's just a smell,

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Speaker 4: isn't it.

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Speaker 3: Sometimes it can be fairer minds. Is that what you mean?

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Speaker 3: I think you don't even know, do you Kate? But

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Speaker 3: all of a sudden you go, I.

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Speaker 5: Tell you what the aroma coming from Tommy a producer

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Speaker 5: at the moment, is not going to get him any action.

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Speaker 3: That's cheese it is.

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Speaker 6: I've been very heavy on the daf and wirre.

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Speaker 3: The Triple bree was last week.

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Speaker 6: And a lovely girl from the mountains of France, a

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Speaker 6: very dusty blue.

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Speaker 3: I can smell a quince's well, are you pasting too?

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Speaker 5: Yes? I am, Tony.

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Speaker 7: Why do you have a photo of.

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Speaker 5: Smell? Maggie beer.

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Speaker 3: Stole Mage beer as well?

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Speaker 5: Oh dear, apologies for my stand of Maggie be that's

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Speaker 5: not bad. That is good, all right.

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Speaker 3: Nothing to do with that, but.

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Speaker 2: Animals on the podcast, calls of animals that's on the podcast,

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Speaker 2: tries to.

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Speaker 3: Wind it up sometimes.

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Speaker 8: This is a Fit with Friends podcast.

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Speaker 2: We have been talking about a lot on the show

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Speaker 2: and the jobs that it will replace. And concerningly, we

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Speaker 2: had some audio three of us in AI the other day.

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Speaker 5: And it was very good.

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Speaker 4: I thought it was awful.

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Speaker 2: Is this us talking right now or is this a

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Speaker 2: well programmed computer?

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Speaker 5: Well, I've actually got a couple of AI stories on

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Speaker 5: the show to day as well. One a bloke is

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Speaker 5: scammed music companies millions of dollars using AL and the

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Speaker 5: other one a guy saved his dog. His dog had

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Speaker 5: cancer and he's found a vaccine for it.

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Speaker 2: I met so. I came across this dog Rose not

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Speaker 2: long ago. Yeah, I met the dog Rose that had

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Speaker 2: cancer that the owner used the AI for.

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Speaker 7: What kind of dog? Are you a big dog or

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Speaker 7: a mad dog?

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Speaker 2: I'm a big soa Bernard with a big tongue that

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Speaker 2: dribbles everywhere.

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Speaker 5: I'm going to see a man about a dog. I'll

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Speaker 5: talk about that just after five.

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Speaker 2: This story here is Bill Gates has come out and said.

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Speaker 5: Guys, slow down. A is not going to kill every job.

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Speaker 2: So I'm going to give you a couple that are

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Speaker 2: going to be safe, and you can't be replaced if

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Speaker 2: you are a coder. We understand that for basic website

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Speaker 2: coders have been shot out of the air because these

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Speaker 2: websites now you can just put in a description of

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Speaker 2: the website you're trying to build and the program will

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Speaker 2: build it for you. So you literally, if I go,

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Speaker 2: I want to build a website to do with blue

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Speaker 2: poker dot dresses, and I want to be able to

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Speaker 2: style them with different hairstyles.

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Speaker 4: That's actually a white poka on a navy dress.

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Speaker 2: Sure thing, then it'll be able to do that. You

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Speaker 2: don't need to know how to write the code. But

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Speaker 2: if you're a coder, now your job's stuffed. But what

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Speaker 2: Bill's saying is that people that write the code actually

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Speaker 2: have to code the sites. Someone has to write the

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Speaker 2: code for the code building website to work.

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Speaker 5: Waight up. Isn't that what AI is all about?

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Speaker 3: No no, no, no no no.

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Speaker 2: Someone has to start it somewhere, like someone had to

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Speaker 2: build chat GPT, so someone had to write the code

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Speaker 2: for those programs. So I'm talking about building the infrastructure

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Speaker 2: of the railway. So you need the tracks, you need

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Speaker 2: the lights, you need the trains. That's the important stuff.

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Speaker 2: So those programs have to be written for the public

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Speaker 2: to use. That's where the code has come into it.

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Speaker 4: You know, what, can I just say something switched off?

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Speaker 9: I thought the most boring thing we spoke about on

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Speaker 9: this show was cricket. But I'm putting my hand up

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Speaker 9: and changing my.

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Speaker 5: Commons. Pat Cummins will be replaced by an ai.

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Speaker 3: What about this, Kate?

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Speaker 2: Biologists and people that discover things, they can't be replaced.

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Speaker 9: That's what my daughter wants to do.

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Speaker 2: Well, she can go and look for pharaohs in Egypt

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Speaker 2: under the pyramids.

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Speaker 3: I can't do that, mate. Bill Gates said, So.

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Speaker 5: What's the occupation where you're looking for cheologists archaeologists? You

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Speaker 5: can't replace an archaeology. You can't.

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Speaker 2: So you know, if you want to be the next

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Speaker 2: Indiana Jones, man, the Gates are right, Yeah.

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Speaker 4: But you only need one Indiana.

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Speaker 3: Well, who's the female Indiana Jones? Didn't they make an Indiana.

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Speaker 5: Lara Clara Croft? Yeah, Crofty Janes, blast from the past.

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Speaker 5: One man, someone who's done an arts what an arts

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Speaker 5: program and call them Lara Kraft. That's not bad.

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Speaker 3: Maybe we do need AI for this show.

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Speaker 1: Fits Whipper podcast.

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Speaker 2: Let's talk about when technology has really got in the

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Speaker 2: way of your relationship.

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Speaker 3: This poor guy. If you remember we spoke about this at.

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Speaker 2: The time Fits, it was back in twenty thirteen, a

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Speaker 2: long time ago. There was a man who just happened

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Speaker 2: to be looking through the area on Google Maps and

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Speaker 2: stumbled across a photo of his wife sitting on a

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Speaker 2: park bench with a man lying down and his head

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Speaker 2: resting on his wife's lap.

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Speaker 10: Damn.

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Speaker 2: So you know when you see the photos of Google

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Speaker 2: Earth and they have to all Google street and they

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Speaker 2: have to blur out the number plate in the face,

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Speaker 2: the faces blurred.

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Speaker 3: Out, but you can just tell that it's her.

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Speaker 2: So he screenshot and said to his wife, Hey, I reckon,

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Speaker 2: you're wearing the exact same.

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Speaker 3: Thing as this woman in the photo, and you're here

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Speaker 3: is exactly the same.

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Speaker 4: Could just go to the wardrobe, couldn't you and pull

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Speaker 4: that shirt out.

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Speaker 5: I've followed a Google car around with the camera on top,

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Speaker 5: hoping to get in there.

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Speaker 3: Really, I wonder how many people have mooned Google.

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Speaker 5: Cars that get when it started you did forever when

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Speaker 5: you see oh.

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Speaker 7: Haven't they also?

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Speaker 9: I mean speaking of this, wasn't there also a story

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Speaker 9: where someone googled their address and there was a car

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Speaker 9: parked in the driveway of like this. I don't know,

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Speaker 9: I'm going to make your sons the secretary or the plumber,

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Speaker 9: you know, the friend the best friend who was a plumber,

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Speaker 9: and it was like he was brown, Yeah, looking.

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Speaker 4: At the pine.

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Speaker 3: Yeah, just helping out where he can. Yeah, you're right. Fits.

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Speaker 2: When it first came out too, they didn't blur anything,

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Speaker 2: so faces and number plates were all there, and people

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Speaker 2: would see the Google car and they would just drop

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Speaker 2: their pants.

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Speaker 7: That was the who were they? When you say everybody.

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Speaker 5: Would everyone would me.

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Speaker 2: If you've ever seen the Google car and decided to

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Speaker 2: do something, what does it look like? We'ch is got

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Speaker 2: a camera on the top, but it says it's filming

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Speaker 2: in progress car?

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Speaker 5: Is it it stands out? I mean it's just your

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Speaker 5: average suv, but the camera on top is massive, Kate.

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Speaker 5: So it just drives around and takes all the information in.

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Speaker 5: But you if you actually see one, follow it, because

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Speaker 5: you'll get people in the local area just following it

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Speaker 5: ahead of it.

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Speaker 2: It's hard to drive and put your bum out the

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Speaker 2: window at the same time when you're overtaking it.

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Speaker 4: Well, do not underestimate me.

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Speaker 2: So this guy, he separates from his wife because she's

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Speaker 2: been caught on Google Street. She's sitting there with a

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Speaker 2: guy on the park bench. Time goes by. He thinks,

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Speaker 2: maybe I'd be interested in catching up with her. Maybe

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Speaker 2: things have changed and we lost our way, and maybe

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Speaker 2: if we rekindled, there'd be a beautiful romance here. And

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Speaker 2: just for the fun of it, he decides to go

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Speaker 2: and have a look on Google Street again for.

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Speaker 4: The fun of it.

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Speaker 3: Just for the fun of it.

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Speaker 4: Yeah.

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Speaker 3: He goes to back back where the photo was taken.

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Speaker 5: At that time, back at it again.

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Speaker 2: She's there on the seat with another man. With another man.

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Speaker 5: Oh her seat, Ye love that seat.

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Speaker 3: That was her love seat. And she's there, not with

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Speaker 3: the guy she was in in twenty thirteen. This is

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Speaker 3: the new updated Fighter and that's her with another man.

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Speaker 5: What a piece of seat.

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Speaker 2: And if you go to the next shock k you'll

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Speaker 2: see that he managed to get his thumb out when

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Speaker 2: he saw the car.

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Speaker 8: This is a Fitzy with Friends hate podcast.

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Speaker 9: I've done the calculation guys, this time next week, you'll

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Speaker 9: be heading into a long weeknd.

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Speaker 3: A good Friday, Yes, right Friday.

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Speaker 4: Easter is here. I hope you've planned.

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Speaker 9: I mean, look, I don't know how many people are

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Speaker 9: canceling their Easter plans because they can't put fuel in

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Speaker 9: the car. Let's be honest, those road trips that you'd

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Speaker 9: usually do. But I do have some good news, and

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Speaker 9: it comes down to the good old Easter. The hot

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Speaker 9: Cross buns, okay, which I've been eating for a few weeks.

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Speaker 4: Fine to do that, and I would hate for them

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Speaker 4: to waste.

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Speaker 2: Here's what I don't understand, just quickly, chocolate hot Cross buns.

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Speaker 4: You can't live in our house, then right on score,

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Speaker 4: But you.

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Speaker 3: Don't do that.

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Speaker 2: You don't mix chocolate with things like that's like a

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Speaker 2: cho that's a crime against French PARTISERI it's a.

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Speaker 5: Choc chip, mate. Chop Chips are in everything.

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Speaker 9: The French ship been putting chocolate in croissants for a

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Speaker 9: very long.

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Speaker 5: Time, do you or.

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Speaker 3: At yes, salted please?

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Speaker 4: And I even have.

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Speaker 9: Margarine to give the guests, and I keep the lurb

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Speaker 9: par I'm joking.

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Speaker 7: That's a joke.

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Speaker 9: That is actually a joke, But I have been known

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Speaker 9: to take No, I'm not going to say that because

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Speaker 9: it makes me sound like that's not not on brand.

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Speaker 9: I want to talk about the hot Cross bun. This

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Speaker 9: is how to get the best out of it and

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Speaker 9: how to be able to have a little bit of

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Speaker 9: extra of that butter, which is one of the things

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Speaker 9: you look forward to. There's a thing on TikTok at

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Speaker 9: the moment and they are encouraging people, which I love,

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Speaker 9: to cut your hot cross bun in to three, not

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Speaker 9: just cutting it in half horizontally, which quite often there's

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Speaker 9: a pick there on the screen in case you don't

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Speaker 9: quite get it. That's just your traditional fruity or fruit.

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Speaker 9: Because I know I don't have one of those toasters.

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Speaker 9: I've been talking a lot about toasters because one of

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Speaker 9: my best friends is buying a toaster. He thinks he

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Speaker 9: should get my kind of toaster. But it's a bit

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Speaker 9: of an investment.

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Speaker 11: Meg.

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Speaker 4: No, it's not a Smeg, it's a duel lip.

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Speaker 5: Have you seen the brevel one where they have the

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Speaker 5: button that just says a little bit more.

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Speaker 2: Yeah, great about what about the clear toaster so you

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Speaker 2: can actually just see what it looks like.

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Speaker 7: Well, you've got stuff to do.

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Speaker 4: You're not waiting to you're not watching bread toaster and.

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Speaker 2: Aren't you squashing the hot crossbun down with your hands?

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Speaker 9: Yeah, which is tricky with the chocolate ones, because but

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Speaker 9: then you can lick the palm of your hand and chocolate.

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Speaker 9: Cut it horizontally, cut it into three. It doesn't burn

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Speaker 9: the edges in your toaster if you don't have one

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Speaker 9: of those ones that widened for like a big crumpet, and.

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Speaker 7: Then and then.

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Speaker 2: That does big crumpet go on?

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Speaker 5: You don't want to burn the sides of that, Oh well.

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Speaker 9: On fire, guys, And then you can have almost three

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Speaker 9: smaller slices of hot cross bun.

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Speaker 5: Did you guys have just quickly double cut buns double

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Speaker 5: cut rolls? Growing up, could you go to cafes? Is

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Speaker 5: this is South Australian things. They did exactly what you

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Speaker 5: just said, and they'd cut a roll in the threes

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Speaker 5: and you basically get two sandwiches. So they would put

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Speaker 5: the salad and the chicken and that in two different sandwiches.

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Speaker 4: I think four slices for two sandwiches.

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Speaker 5: No, so you're basically instead of just cutting the roll once,

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Speaker 5: you're cutting it twice and you're getting too.

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Speaker 4: You'd have to have a very big bun.

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Speaker 2: A real thick middle we breed big buns.

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Speaker 5: Like big bunk.

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Speaker 1: This here's a fitzy whippering Hay podcast.

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Speaker 5: I shouldn't be laughing at this, but you guys will

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Speaker 5: have a real chuckle over it. You know, when you

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Speaker 5: see I mean, when you're in traffic and there's there's

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Speaker 5: obviously there's something that's happened up her heead right, there

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Speaker 5: will be emergency crews there and you drive past very slow.

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Speaker 5: You're trying to get as much information as you can.

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Speaker 5: Now this there's someone's come off a bike and they're

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Speaker 5: being tended to by a few people. Whole old woman

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Speaker 5: on a scooter thought she'd get up really close to

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Speaker 5: have a look herself. I just want to show you

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Speaker 5: this video now. So here's the woman pulling up next

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Speaker 5: to the person that's to do on the side of

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Speaker 5: the road. She just wants to have a bit of

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Speaker 5: a squeeze, which is fair enough everybody does. But she

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Speaker 5: drops into the person.

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Speaker 9: Oh no, so well, they've come off of push bikes.

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Speaker 4: I was thinking a motorbike. They've come off a pushbike.

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Speaker 7: Stay out of it.

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Speaker 5: Start like a bit nosy, but you know what, you've

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Speaker 5: injured the person that's already injured and thirteen twenty four

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Speaker 5: to ten. If you've got a story of someone who

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Speaker 5: got injured after the injury, yeah, because you know what,

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Speaker 5: we I did a great sports show on Fox. Sports

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Speaker 5: should still be on air, but they took it off

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Speaker 5: budget cuts show. But we used to One of our

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Speaker 5: favorite videos that we used to play all the time

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Speaker 5: were soccer stars that used to, you know, fake injury

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Speaker 5: on the field and then they'd have to be picked

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Speaker 5: up on a stretcher. Yeah. I so just these are

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Speaker 5: just the best. The person's already injured and the people

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Speaker 5: that are carrying them have no idea and they're injuring

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Speaker 5: the person even more than they should.

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Speaker 9: But isn't that like if you're saying that they've faked

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Speaker 9: it in the first place, well it serves them, right,

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Speaker 9: I mean, this is not.

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Speaker 2: Your bum straight in the face, you know there with

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Speaker 2: someone putting the stretcher fits into the ambulance and then

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Speaker 2: it rolls back out of the ambulance.

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Speaker 5: It's just Ellie's given us all. I'm getting injured after

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Speaker 5: the injury is something like this happened to you Ellie.

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Speaker 12: Yeah, it was so crazy. Hi, guys. So it was

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Speaker 12: a few months ago and I was driving and there

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Speaker 12: was I saw a three car pile up on the

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Speaker 12: road and I was just seriously, like so distrusted that

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Speaker 12: I forgot to move and then I ended up causing

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Speaker 12: a five car pilot.

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Speaker 5: Ah, you're kidding me.

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Speaker 12: That that much had insurance. But yeah, it's really not ideal,

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Speaker 12: but they give you the option.

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Speaker 4: You've got to slow down to forty anyway, don't you.

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Speaker 4: I mean, I'm not.

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Speaker 9: Sure if that's everywhere, but you have to slow down

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Speaker 9: when you see flashing lights. So that should give you

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Speaker 9: enough of a you know, like you can have a

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Speaker 9: little geese and keep.

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Speaker 3: Going and least sometimes you just out of luck, aren't you?

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Speaker 8: Like this is a friends podcast, Kate, I've never told

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Speaker 8: you this, but I think it's a great opportunity to

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Speaker 8: tell you that you have a lovely neck.

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Speaker 4: Oh we're on.

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Speaker 3: Do you want me to step out?

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Speaker 4: We're on to the nation in fact the room.

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Speaker 5: But what like history does show o, Kate that as

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Speaker 5: you get older, nicks get flabbier, and I'm not saying this.

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Speaker 9: Get wrinklear and for any woman my age, before you

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Speaker 9: go on.

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Speaker 10: There.

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Speaker 9: There is a moment in your life and you start

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Speaker 9: taking selfies and you're like, oh wow, wow, where did

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Speaker 9: that neck come from?

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Speaker 4: All the makeup artists start saying to.

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Speaker 9: You, can you lift your neck up notes stretch your

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Speaker 9: neck out?

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Speaker 5: Yeah, well talking of the turkey neck. And I want

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Speaker 5: to thank my beautiful wife, Belinda Fitzgerald, because she does

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Speaker 5: I mean, she presents a lot of content to get

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Speaker 5: on the show. And I really like this one. She's

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Speaker 5: found two old ladies who is giving everyone a beauty

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Speaker 5: hack when taking photos. Now you obviously need two people

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Speaker 5: to do this, but have a listen and watch the

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Speaker 5: video on how you can get a beauty hack and

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Speaker 5: the best photo. We have another idea about how to

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Speaker 5: look younger, you know when you reach this age like

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Speaker 5: I've got arroyos that go down like that, I got

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Speaker 5: the turkey neck thing.

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Speaker 1: Go on.

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Speaker 5: Yeah, And so if somebody wants to take a picture,

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Speaker 5: here's what you do.

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Speaker 7: It's called the wattle lift smile.

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Speaker 5: So you grab each other. As you're holding each other,

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Speaker 5: you grab each other by the back of the neck,

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Speaker 5: and just before they take the shot, you squeeze the

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Speaker 5: skin back and all wrinkles.

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Speaker 3: It really good.

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Speaker 7: That's a man.

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Speaker 3: It's like a dog picking up a puppy.

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Speaker 2: You're just pching the skin on the back of the

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Speaker 2: neck and it sucks it from the front.

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Speaker 5: What if you're doing.

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Speaker 4: A solo photo though maybe you kind of go no

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Speaker 4: one can see it.

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Speaker 5: From behind you, could you or could you have a

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Speaker 5: family member just hiding behind your back, just pulling your

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Speaker 5: skin back from behind?

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Speaker 7: Why are you? I mean you guys have next too.

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Speaker 3: I was going to say, I'll do it if you'll

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Speaker 3: do it for me.

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Speaker 4: What do you mean in a photo? I would rather

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Speaker 4: not that. I don't want that to live on the internet.

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Speaker 3: Alter your neck, guy, if you'll be my net.

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Speaker 5: Girl Tommy that you take a photo of this? Will

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Speaker 5: pull this up?

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Speaker 7: Or will we?

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Speaker 1: Will we?

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Speaker 4: When did I stop improving things?

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Speaker 5: Wait? There, and now I've got TV week on the line.

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Speaker 5: You're there, David. I need you to close together. Yeah, yeah,

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Speaker 5: just go together.

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Speaker 4: Because that's my bet.

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Speaker 9: Okay, I can't show you my great side.

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Speaker 3: Okay, Well we would have to be arms around each other.

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Speaker 5: Yeah, that's it. Well, that looks weird and it looks

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Speaker 5: like you're actually manhandling Kate. Yea, there's a fair bit

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Speaker 5: of skin. You've got to pull back ready, Okay, put

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Speaker 5: that up on socials.

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Speaker 4: Please thank BJ for me?

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Speaker 3: Isn't she awesome? J? The one person with out of issue?

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Speaker 8: This is a friend Kate podcast.

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Speaker 2: Sizy whippering Kate's attentional passengers line the gap.

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Speaker 4: I think we might be improving at this game.

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Speaker 3: We didn't get it last week, but I think.

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Speaker 9: There's a bit of fun in not getting it, because

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Speaker 9: I'm quite glad that the two of you can't read

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Speaker 9: my mind.

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Speaker 5: Just quiet. You've got to try to make it very broad.

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Speaker 5: If you make it niche, it's harder, I think, Kate,

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Speaker 5: the word needs to be very broad.

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Speaker 7: Okay, good tip.

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Speaker 4: If you haven't played.

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Speaker 7: It is that's me.

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Speaker 9: I'm stopping down because my mind is always is already

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Speaker 9: looking for a broad word. You get three rounds to

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Speaker 9: try and read each other's minds. You've got to guess

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Speaker 9: that exact same word. How close can you get on

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Speaker 9: the count of three? Both say a random word if

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Speaker 9: you're choosing any word at all, broad word, it turns out,

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Speaker 9: and then you'll need to both think of another word

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Speaker 9: that connects them if you don't get a correct to

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Speaker 9: start with. So, for example, okay, Whipper might start with

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Speaker 9: saying guitar.

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Speaker 4: Fitz he might say power, and.

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Speaker 9: If you're reading each other's minds, you might say the

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Speaker 9: word electric. Yep, sure you're picking up what I'm putting down.

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Speaker 9: Can we kick things off with the two of you

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Speaker 9: fitsy and on the countdown?

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Speaker 3: Two one television.

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Speaker 9: Oh okay, so summer from FITZI and Whipper from summer you.

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Speaker 9: If you guys don't get the we're home, come with me,

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Speaker 9: come on, let's do it.

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Speaker 5: Let's do it.

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Speaker 10: Two one, Home and Away.

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Speaker 5: Do you know what? Do you know what? I was

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Speaker 5: going to go, bond I rescue.

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Speaker 10: I was going to go, you can't do that.

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Speaker 7: I wasn't even thinking. I was thinking of the tennis.

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Speaker 4: I would have said tennis, you know, summer of tennis.

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Speaker 3: No, no, we stepped into Sally's town and.

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Speaker 4: Well, you guys need to stop thinking about me all

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Speaker 4: the time.

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Speaker 5: Because you know what, it's the first shot that you

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Speaker 5: get in the intro to Home and Away. It's the

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Speaker 5: beach mate.

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Speaker 9: Do you know I know I was on it for

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Speaker 9: really really long time.

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Speaker 5: I have a go with Tommy.

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Speaker 10: Two one Cowboy.

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Speaker 3: Cowboys soccer, Cowboy.

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Speaker 1: Ahead.

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Speaker 6: This is the hard Yeah, that's how we're a long

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Speaker 6: way upon, aren't we.

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00:21:12,400 --> 00:21:14,000
Speaker 5: Cowboy, I can't go.

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00:21:14,119 --> 00:21:15,360
Speaker 4: Don't put pressure, don't.

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00:21:15,160 --> 00:21:20,960
Speaker 5: Put pressure on me. So cowboy soccer? You got you know?

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00:21:21,880 --> 00:21:22,000
Speaker 1: Oh?

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00:21:22,160 --> 00:21:26,119
Speaker 10: No, one away?

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00:21:27,400 --> 00:21:37,119
Speaker 5: Damn so close Atlanta, Kennedy and home and why get it? Okay, okay,

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Speaker 5: here we go.

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00:21:40,320 --> 00:21:45,960
Speaker 10: One want to get into them?

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00:21:48,160 --> 00:21:49,119
Speaker 3: Why don't you and I have a go?

447
00:21:49,359 --> 00:21:55,160
Speaker 10: Welcome to My World three one.

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Speaker 1: He is the Fitz Whippering Hay podcast.

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00:22:00,080 --> 00:22:02,800
Speaker 3: You know what, the mating call is such an interesting thing.

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Speaker 2: Because universally, I mean, we are animals and there are

451
00:22:06,720 --> 00:22:09,240
Speaker 2: certain things that we like to hear at certain times

452
00:22:09,240 --> 00:22:12,600
Speaker 2: of the month that attract us to the to the

453
00:22:12,640 --> 00:22:18,240
Speaker 2: mate or the.

454
00:22:18,400 --> 00:22:20,520
Speaker 4: Und Put that shelf up that I haven't.

455
00:22:20,840 --> 00:22:23,840
Speaker 2: That's a mating call. Let me understack that dishwasher for you?

456
00:22:25,280 --> 00:22:26,800
Speaker 5: Was it originally.

457
00:22:28,640 --> 00:22:29,600
Speaker 4: Buy your dream.

458
00:22:29,560 --> 00:22:32,400
Speaker 2: Before that became sexual harassment, It was a mating call.

459
00:22:32,920 --> 00:22:35,320
Speaker 2: Unfortunate it's gone downhill. Another mating call I've had on

460
00:22:35,359 --> 00:22:39,640
Speaker 2: this show is Tom Ivy's impersonation of the lines.

461
00:22:40,320 --> 00:22:42,560
Speaker 6: That's when I lived near the zoo and I could

462
00:22:42,600 --> 00:22:44,439
Speaker 6: hear them. There's a certain time of year when that

463
00:22:44,480 --> 00:22:45,040
Speaker 6: would happen.

464
00:22:46,080 --> 00:22:49,360
Speaker 3: What enclosure were you in anyway.

465
00:22:49,440 --> 00:22:52,520
Speaker 2: What's interesting is they say that the link between what

466
00:22:52,640 --> 00:22:54,760
Speaker 2: we know is the animal world and the animal kingdom

467
00:22:54,800 --> 00:22:56,520
Speaker 2: to humans being animals.

468
00:22:56,560 --> 00:22:58,720
Speaker 3: It is not far It's not far off at all.

469
00:22:58,800 --> 00:23:00,560
Speaker 2: So we should be able to hear what is the

470
00:23:00,600 --> 00:23:03,359
Speaker 2: more attractive sound from the animal kingdom?

471
00:23:03,359 --> 00:23:06,840
Speaker 3: Would you like to play along? I would pick the

472
00:23:06,880 --> 00:23:09,639
Speaker 3: mating call. What I will tell you is a bit

473
00:23:09,640 --> 00:23:10,159
Speaker 3: of a clue.

474
00:23:10,480 --> 00:23:14,240
Speaker 2: It seems to be that animals prefer a deeper mating sound.

475
00:23:14,760 --> 00:23:17,400
Speaker 3: All right, here we go with the sparrows straight up. First,

476
00:23:17,480 --> 00:23:19,400
Speaker 3: Have I listened to the first one?

477
00:23:20,119 --> 00:23:21,920
Speaker 5: That's beautiful? Isn't it?

478
00:23:22,160 --> 00:23:23,639
Speaker 3: He turned on by the first one.

479
00:23:25,240 --> 00:23:28,200
Speaker 7: That's just like, hey over here, come on over here.

480
00:23:30,080 --> 00:23:32,479
Speaker 5: It's a sense that you're out in nature, isn't it?

481
00:23:32,480 --> 00:23:35,520
Speaker 3: Like it's just beautifest. This is the second option for

482
00:23:35,560 --> 00:23:36,520
Speaker 3: the sparrow.

483
00:23:40,640 --> 00:23:42,200
Speaker 7: Husky getting desperate.

484
00:23:42,320 --> 00:23:44,120
Speaker 2: Now that's a sparrow at the bar.

485
00:23:44,320 --> 00:23:46,879
Speaker 5: That's a sad case. That's what my sparrow looks like.

486
00:23:47,640 --> 00:23:49,520
Speaker 3: So which one would you choose? The first or the

487
00:23:49,560 --> 00:23:51,680
Speaker 3: second out of those? To be attracted to the sparrow?

488
00:23:51,840 --> 00:23:54,159
Speaker 9: The first one would actually attract me more because it

489
00:23:54,160 --> 00:23:59,520
Speaker 9: would give me like a light vibe carefree care.

490
00:24:00,640 --> 00:24:03,480
Speaker 5: Imagine you out in the garden with your garden gloves

491
00:24:03,640 --> 00:24:07,480
Speaker 5: and that sparrow. That first sound comes on you are okay,

492
00:24:07,560 --> 00:24:08,600
Speaker 5: you're anyone spot on.

493
00:24:08,720 --> 00:24:11,760
Speaker 2: That is the sound Kate Richie nude in the backyard

494
00:24:11,800 --> 00:24:12,400
Speaker 2: with the sparrow.

495
00:24:12,600 --> 00:24:15,520
Speaker 4: The little ran, the little blue rand is so love?

496
00:24:16,400 --> 00:24:18,520
Speaker 5: What never Wren?

497
00:24:19,080 --> 00:24:21,560
Speaker 2: What about this one? This is the gleader monkey? Have

498
00:24:21,720 --> 00:24:22,720
Speaker 2: listened to the first one?

499
00:24:22,720 --> 00:24:24,560
Speaker 3: Here? For the monkey? Which one is more attractive to?

500
00:24:27,480 --> 00:24:29,720
Speaker 4: Sounds like somehow.

501
00:24:30,080 --> 00:24:32,960
Speaker 2: Sounds like a few boyfriends you're at a bar and

502
00:24:33,040 --> 00:24:34,320
Speaker 2: campbell to God.

503
00:24:34,440 --> 00:24:36,679
Speaker 3: Let's go on with the next one for the monkey.

504
00:24:41,160 --> 00:24:41,760
Speaker 5: Sounds like he.

505
00:24:41,760 --> 00:24:42,560
Speaker 3: Needs a cigarette.

506
00:24:42,640 --> 00:24:45,240
Speaker 9: The second one sounds a bit like he's like he

507
00:24:45,600 --> 00:24:48,720
Speaker 9: doesn't have much up you know, up and go.

508
00:24:50,880 --> 00:24:51,400
Speaker 4: Number one?

509
00:24:51,520 --> 00:24:53,280
Speaker 3: Well, number two is in fact the one that the

510
00:24:53,760 --> 00:24:56,200
Speaker 3: monkey life of. What about the zebra finch shave? You

511
00:24:56,280 --> 00:25:01,040
Speaker 3: got two sounds on that one? One or two? Go

512
00:25:01,119 --> 00:25:01,640
Speaker 3: to the next one.

513
00:25:01,680 --> 00:25:07,720
Speaker 2: It's quite a beat. That's a computer game. Where's the

514
00:25:07,720 --> 00:25:08,879
Speaker 2: mating in that one?

515
00:25:09,400 --> 00:25:11,760
Speaker 5: Shay? Have you got the wett All seals from last

516
00:25:11,800 --> 00:25:14,720
Speaker 5: week as well? Have you heard those deep down in

517
00:25:14,800 --> 00:25:15,600
Speaker 5: the Antarctic?

518
00:25:15,920 --> 00:25:16,800
Speaker 3: Yeah?

519
00:25:16,840 --> 00:25:18,639
Speaker 2: Because they have, I mean, if they talk about the

520
00:25:18,720 --> 00:25:28,640
Speaker 2: deep sound being sure that's not a group of drunk

521
00:25:28,640 --> 00:25:30,119
Speaker 2: blogs that have thrown their keys.

522
00:25:29,840 --> 00:25:33,200
Speaker 8: In the bowl. This is a Fitzy with Friend Pat podcast.

523
00:25:33,320 --> 00:25:35,359
Speaker 5: I feel like we've been talking about AI quite a

524
00:25:35,359 --> 00:25:38,840
Speaker 5: bit on the Shadow. Yeah, because this is a great story.

525
00:25:38,840 --> 00:25:40,639
Speaker 5: Because I don't know if anyone saw on the Today

526
00:25:40,720 --> 00:25:43,600
Speaker 5: Show last week, but the man who's been able to

527
00:25:43,640 --> 00:25:47,520
Speaker 5: create a personalized cancer vaccine for his dog thanks to

528
00:25:47,600 --> 00:25:48,160
Speaker 5: the use of.

529
00:25:48,200 --> 00:25:50,760
Speaker 3: AI, this is a great story.

530
00:25:51,240 --> 00:25:54,240
Speaker 5: Now, look, I don't think he's cured his dog, but

531
00:25:54,400 --> 00:25:59,120
Speaker 5: he has given it a longer lifespan because of this.

532
00:25:59,760 --> 00:26:03,320
Speaker 5: But it's just I suppose he's so. The Sydney based

533
00:26:03,359 --> 00:26:07,480
Speaker 5: tech entrepreneur revealed that his eight year old Staffy shar

534
00:26:07,520 --> 00:26:11,639
Speaker 5: Pei is it a sharp charpe? Yeah, they're beautiful dogs.

535
00:26:11,680 --> 00:26:12,440
Speaker 5: The Sharpey are.

536
00:26:12,800 --> 00:26:14,280
Speaker 7: Cross with a Staffi STAFFI.

537
00:26:14,359 --> 00:26:16,760
Speaker 5: Yeah, there's a fair bit going on there. Rose had

538
00:26:16,800 --> 00:26:20,200
Speaker 5: been diagnosed with an incurable form of seal skin cancer

539
00:26:20,680 --> 00:26:23,199
Speaker 5: and it was told that the dog only has a

540
00:26:23,240 --> 00:26:26,719
Speaker 5: couple of months to live. Now, determined to do everything

541
00:26:26,760 --> 00:26:29,520
Speaker 5: that he could to help his pet pooch, he went

542
00:26:29,520 --> 00:26:34,280
Speaker 5: on to AI to put in that that individual form

543
00:26:34,480 --> 00:26:38,080
Speaker 5: of cancer right and said, look, I need something here

544
00:26:38,119 --> 00:26:42,600
Speaker 5: to prolong my dog's life. So it sequenced the dog's

545
00:26:42,680 --> 00:26:47,320
Speaker 5: genome and the AI has spat out a code. And

546
00:26:47,480 --> 00:26:50,600
Speaker 5: this is the extraordinary part of the story. He's gone

547
00:26:50,640 --> 00:26:53,280
Speaker 5: to chat GPTO to assist through the search with the

548
00:26:53,359 --> 00:26:58,280
Speaker 5: vaccine being created from the code. Right now, he's got

549
00:26:58,280 --> 00:27:00,320
Speaker 5: a bit of a background in AI. This is the

550
00:27:00,320 --> 00:27:03,280
Speaker 5: thing because not every Joe Blow could do this. It's nice,

551
00:27:04,240 --> 00:27:07,879
Speaker 5: gpt you just fix this cancer, please, dog's go on

552
00:27:07,960 --> 00:27:09,600
Speaker 5: in a couple of months. Can you help me out here?

553
00:27:09,680 --> 00:27:11,240
Speaker 3: How do you spell strawberry? Now?

554
00:27:11,359 --> 00:27:14,159
Speaker 5: He created a drug to block the cancer and that

555
00:27:14,280 --> 00:27:17,000
Speaker 5: was start of the journey. So from here they worked

556
00:27:17,000 --> 00:27:23,400
Speaker 5: out a personalized vaccine which specifically targeted rows the dog's cancer,

557
00:27:23,800 --> 00:27:28,240
Speaker 5: and they've extended the dog's lifespan by a considerable amount.

558
00:27:28,240 --> 00:27:29,760
Speaker 5: This is a beautiful store.

559
00:27:29,840 --> 00:27:31,600
Speaker 2: It's an amazing story. And I was lucky enough to

560
00:27:31,600 --> 00:27:33,800
Speaker 2: be on the Today Show the other day. I've been

561
00:27:33,840 --> 00:27:35,920
Speaker 2: doing some stuff with Carnival cruises.

562
00:27:35,880 --> 00:27:37,639
Speaker 4: A bit of a TV stuff.

563
00:27:38,920 --> 00:27:39,679
Speaker 3: You don't need to do.

564
00:27:39,880 --> 00:27:43,760
Speaker 2: Just sixteen years on Home and A sixteen and I

565
00:27:43,840 --> 00:27:45,480
Speaker 2: turned up to do the interview and there was a

566
00:27:45,560 --> 00:27:47,199
Speaker 2: dog in the green room beforehand.

567
00:27:47,359 --> 00:27:49,240
Speaker 4: Don't speak about Dicky like that.

568
00:27:50,119 --> 00:27:52,240
Speaker 3: Get out of here. But what about that one that's

569
00:27:52,280 --> 00:27:53,360
Speaker 3: about the.

570
00:27:53,320 --> 00:27:55,800
Speaker 5: Some wonderful stuff over the years, dickies.

571
00:27:56,080 --> 00:27:58,120
Speaker 2: God, And I don't think anything could cure him.

572
00:27:58,480 --> 00:28:00,760
Speaker 3: But I said, why is the dog on before?

573
00:28:00,840 --> 00:28:05,000
Speaker 2: Me and Sam Thiday talking about carnival cruises and they said, well,

574
00:28:05,000 --> 00:28:08,000
Speaker 2: that dog has just been cured of cancer with using

575
00:28:08,040 --> 00:28:11,520
Speaker 2: AI story go through Rosy beautiful Mounts.

576
00:28:11,680 --> 00:28:14,200
Speaker 5: So how did you feel that You've got some bloke

577
00:28:14,320 --> 00:28:17,320
Speaker 5: he's found his own vaccine for his dog with cancer.

578
00:28:17,359 --> 00:28:18,960
Speaker 5: And then you get on to go, hey, how good

579
00:28:19,000 --> 00:28:19,720
Speaker 5: is the poll on the.

580
00:28:21,080 --> 00:28:23,280
Speaker 2: Absolutely And you've got to think about how you're spending

581
00:28:23,320 --> 00:28:25,760
Speaker 2: your leisure time, you know, is it doing odd jobs

582
00:28:25,800 --> 00:28:27,480
Speaker 2: around the home or is it going on a cruise?

583
00:28:27,520 --> 00:28:29,440
Speaker 2: Think about it and then fix your dog.

584
00:28:29,840 --> 00:28:33,159
Speaker 1: This is a fitz Whipper podcast.

585
00:28:32,880 --> 00:28:36,600
Speaker 5: Man from North Carolina. He's admitted to orchestrating a massive

586
00:28:36,720 --> 00:28:41,600
Speaker 5: fraud scheme that's exploited music streaming platforms. Okay, so what

587
00:28:41,720 --> 00:28:44,760
Speaker 5: is this is unbelievable. Fifty two year old Michael Smith.

588
00:28:45,240 --> 00:28:48,720
Speaker 5: What he did with AI He generated thousands of fake

589
00:28:48,880 --> 00:28:53,200
Speaker 5: songs and then he streamed those fake songs billions of

590
00:28:53,320 --> 00:28:57,960
Speaker 5: times through the same AI software. So they were fake bands,

591
00:28:58,600 --> 00:29:04,080
Speaker 5: fake songs, fake streams. But then he took home all

592
00:29:04,200 --> 00:29:07,680
Speaker 5: the royalties for those billions of streams, Kate, and.

593
00:29:08,080 --> 00:29:11,960
Speaker 4: How much would that be? Two dollars seventy.

594
00:29:11,680 --> 00:29:15,760
Speaker 2: Well, those artists on Spotify, what do they get? Fifty

595
00:29:15,840 --> 00:29:18,520
Speaker 2: cents for every ten million downloads?

596
00:29:18,960 --> 00:29:22,280
Speaker 5: So he secured more than ten million dollars in row

597
00:29:22,920 --> 00:29:27,280
Speaker 5: his fake songs and fake streams. Actually, don't mind me.

598
00:29:27,360 --> 00:29:29,920
Speaker 2: Here's the question I would like to ask. Has he

599
00:29:29,960 --> 00:29:34,520
Speaker 2: committed a crime by making fake songs? I would argue, no,

600
00:29:35,360 --> 00:29:39,520
Speaker 2: he's created a song, so the song exists. Has he

601
00:29:39,520 --> 00:29:44,320
Speaker 2: committed a crime by programming it to create fake streams?

602
00:29:44,680 --> 00:29:48,600
Speaker 5: Yes, isn't the same. It's the same as followers bots.

603
00:29:48,960 --> 00:29:54,920
Speaker 5: What social media platform was it where they deleted the

604
00:29:54,960 --> 00:29:57,680
Speaker 5: followers of people with yet corrected it?

605
00:29:57,720 --> 00:30:00,520
Speaker 2: I think it was Instagram with fake fi and there

606
00:30:00,520 --> 00:30:01,840
Speaker 2: were rappers in the US.

607
00:30:02,280 --> 00:30:05,280
Speaker 5: You know what, didn't Katie Perry drop like two million

608
00:30:05,360 --> 00:30:10,760
Speaker 5: followers or something? Then the question is is the record

609
00:30:10,800 --> 00:30:14,240
Speaker 5: company or is somebody boosting these numbers to make their

610
00:30:14,360 --> 00:30:15,760
Speaker 5: artists look bigger than they are.

611
00:30:16,200 --> 00:30:19,480
Speaker 2: Chay who works in a digital apartment Shaye, you are

612
00:30:19,560 --> 00:30:22,880
Speaker 2: across these platforms and also you've seen those ones where

613
00:30:22,880 --> 00:30:26,000
Speaker 2: you're able to put someone's, say, Instagram page in and

614
00:30:26,040 --> 00:30:28,360
Speaker 2: it'll search to see how many fake followers they have?

615
00:30:28,920 --> 00:30:32,440
Speaker 2: Could you put in Kate Richie, Kate Richie that this

616
00:30:32,640 --> 00:30:34,200
Speaker 2: is not how many followers.

617
00:30:33,880 --> 00:30:36,440
Speaker 3: Of you got, like Richie official you got three hundred

618
00:30:36,520 --> 00:30:38,160
Speaker 3: something thousand followers.

619
00:30:37,680 --> 00:30:39,320
Speaker 4: Three hundred and thirty.

620
00:30:39,520 --> 00:30:40,920
Speaker 3: You don't have to pretend you don't know.

621
00:30:42,680 --> 00:30:43,640
Speaker 7: No, I think it is.

622
00:30:46,240 --> 00:30:49,680
Speaker 5: Told us before this break, Kate.

623
00:30:49,600 --> 00:30:52,800
Speaker 2: Richie Official, three hundred and thirty eight thousand followers.

624
00:30:53,560 --> 00:30:53,960
Speaker 3: Let's work.

625
00:30:54,160 --> 00:30:56,960
Speaker 2: How many of those Kates born?

626
00:30:57,000 --> 00:31:01,600
Speaker 9: Do you think I would know how to fake followers?

627
00:31:02,320 --> 00:31:03,520
Speaker 5: How much do they cost? Cake?

628
00:31:04,000 --> 00:31:04,160
Speaker 3: Now?

629
00:31:04,160 --> 00:31:06,080
Speaker 5: Ready you get one thousand and four five bucks?

630
00:31:06,080 --> 00:31:06,600
Speaker 3: What are you doing?

631
00:31:06,640 --> 00:31:07,680
Speaker 5: How much?

632
00:31:08,840 --> 00:31:09,560
Speaker 3: What do we got here?

633
00:31:10,600 --> 00:31:19,320
Speaker 5: Suspected suspicious followers? Thirty eight point six percent? However, you've.

634
00:31:22,440 --> 00:31:23,040
Speaker 10: Is that working?

635
00:31:23,320 --> 00:31:27,040
Speaker 7: Like I'm actually really know what that is?

636
00:31:27,160 --> 00:31:28,800
Speaker 6: Well, it could just be that the people that are

637
00:31:28,800 --> 00:31:31,440
Speaker 6: following you aren't engaging with your content.

638
00:31:31,680 --> 00:31:33,360
Speaker 5: No, you know what it is. It's some home and

639
00:31:33,400 --> 00:31:35,719
Speaker 5: away nerd fan who goes and we've got a booster

640
00:31:36,840 --> 00:31:39,640
Speaker 5: even more we'll do the next week.

641
00:31:41,440 --> 00:31:43,800
Speaker 8: This is a Fitzy with Friends cap podcast.

642
00:31:43,880 --> 00:31:45,920
Speaker 5: All right, this is a great cause that we are

643
00:31:46,000 --> 00:31:49,760
Speaker 5: behind here at no that bambat Mini Co and chemist

644
00:31:49,760 --> 00:31:51,440
Speaker 5: Warehouse ro on board with this as well, and they're

645
00:31:51,440 --> 00:31:53,680
Speaker 5: proud to announce they're going to have their biggest fundraising

646
00:31:53,760 --> 00:31:57,200
Speaker 5: year yet. They've got their annual charity Soop campaign. It's

647
00:31:57,240 --> 00:31:59,440
Speaker 5: now running in every state across Australia. It's going over

648
00:31:59,480 --> 00:32:01,959
Speaker 5: to New Zeery for the first time. And you can

649
00:32:02,000 --> 00:32:04,800
Speaker 5: also show your support grab a pair of Bamby Mini

650
00:32:04,880 --> 00:32:08,800
Speaker 5: charity socks in store at any Chemists warehouse or online,

651
00:32:09,280 --> 00:32:12,720
Speaker 5: or you can make an additional donation at Chemists Warehouse tills.

652
00:32:13,040 --> 00:32:15,640
Speaker 5: And we have the founder of Bambi Minicho right here,

653
00:32:15,720 --> 00:32:16,520
Speaker 5: nicuver Roachie.

654
00:32:16,600 --> 00:32:19,440
Speaker 4: Welcome to car Thank you.

655
00:32:20,120 --> 00:32:22,160
Speaker 3: Now this all started with your little man raf Can

656
00:32:22,200 --> 00:32:22,640
Speaker 3: you tell.

657
00:32:22,520 --> 00:32:23,120
Speaker 5: Us the story?

658
00:32:23,400 --> 00:32:24,800
Speaker 4: Yeah, absolutely, Yeah.

659
00:32:24,840 --> 00:32:28,000
Speaker 11: So Raffi's now eight years old and he's doing extremely well.

660
00:32:28,040 --> 00:32:29,560
Speaker 11: But yeah, we had a bit of a bit of

661
00:32:29,600 --> 00:32:30,440
Speaker 11: a tough start.

662
00:32:30,840 --> 00:32:33,160
Speaker 4: When Raffi was two and a half, he was diagnosed

663
00:32:33,200 --> 00:32:33,800
Speaker 4: with leukemia.

664
00:32:34,280 --> 00:32:36,680
Speaker 11: We sort of found out just before Christmas of twenty

665
00:32:36,720 --> 00:32:40,680
Speaker 11: twenty and yeah, Raffi spent a couple of years in

666
00:32:40,720 --> 00:32:41,640
Speaker 11: and out of hospital.

667
00:32:42,080 --> 00:32:42,880
Speaker 3: What were the signs?

668
00:32:43,560 --> 00:32:45,520
Speaker 2: What could have caught your eye in the early days?

669
00:32:45,840 --> 00:32:47,720
Speaker 11: Was this all these little things that sort of led

670
00:32:47,840 --> 00:32:50,200
Speaker 11: up to the diagnosis. You know, it started off with

671
00:32:50,280 --> 00:32:52,560
Speaker 11: him just being a little bit more lethargic, wanted to

672
00:32:52,600 --> 00:32:54,600
Speaker 11: staying home as opposed to being out in the park

673
00:32:54,680 --> 00:32:58,280
Speaker 11: like a normal two year old. Bruising would happen quite easily,

674
00:32:58,920 --> 00:33:01,680
Speaker 11: and then just the constant fevers. There's all these little

675
00:33:01,680 --> 00:33:03,720
Speaker 11: things that we'd go to the doctor for checkups and

676
00:33:03,720 --> 00:33:05,800
Speaker 11: then that's when we got called back into the children's

677
00:33:05,840 --> 00:33:08,200
Speaker 11: and yeah, the diagnosis was made that afternoon.

678
00:33:08,320 --> 00:33:09,160
Speaker 3: And he's flying now.

679
00:33:09,400 --> 00:33:10,600
Speaker 4: Yeah, he's doing so well.

680
00:33:10,680 --> 00:33:15,040
Speaker 11: Yeah, he's big footy nuts, he's God's supporter.

681
00:33:15,720 --> 00:33:16,680
Speaker 7: Oh is that right?

682
00:33:17,960 --> 00:33:21,160
Speaker 11: Footy Basketball loves the NBL NBA.

683
00:33:21,720 --> 00:33:23,800
Speaker 5: I love the sock idea as well. N it was

684
00:33:23,840 --> 00:33:26,800
Speaker 5: that your idea because the Bambi Mini socks, you can

685
00:33:26,840 --> 00:33:28,720
Speaker 5: get one for the girls and for the boys as well,

686
00:33:28,760 --> 00:33:31,280
Speaker 5: and you can get them in chemist warehouse and one

687
00:33:31,320 --> 00:33:35,280
Speaker 5: hundred percent of the proceeds go towards different hospitals and

688
00:33:35,360 --> 00:33:38,200
Speaker 5: obviously leukemia research and stuff like that as well. But

689
00:33:38,400 --> 00:33:40,840
Speaker 5: it's a it's a great idea. I mean, my boys,

690
00:33:41,000 --> 00:33:43,440
Speaker 5: they're right into socks. Now I'm buying them socks left.

691
00:33:43,840 --> 00:33:46,120
Speaker 4: You have to because how many do you look?

692
00:33:46,160 --> 00:33:46,360
Speaker 3: Yeah?

693
00:33:46,360 --> 00:33:47,959
Speaker 2: But the good thing about these too is they're going

694
00:33:47,960 --> 00:33:48,920
Speaker 2: to be easy to make a pair.

695
00:33:49,360 --> 00:33:49,680
Speaker 10: That's it.

696
00:33:49,840 --> 00:33:51,200
Speaker 2: So we do the washing.

697
00:33:51,280 --> 00:33:52,600
Speaker 3: We have six million whites.

698
00:33:53,840 --> 00:33:55,920
Speaker 10: You do you fold, do the washing.

699
00:33:56,080 --> 00:33:57,320
Speaker 3: I do everything at home.

700
00:33:57,600 --> 00:34:01,000
Speaker 7: You won't lose these. I was checking.

701
00:34:01,080 --> 00:34:03,160
Speaker 2: That is a great idea. So how do we get

702
00:34:03,160 --> 00:34:04,960
Speaker 2: the socks? Tell every where they can get the socks.

703
00:34:05,080 --> 00:34:07,800
Speaker 11: Yes, so we launched live on our website today. So

704
00:34:07,920 --> 00:34:11,480
Speaker 11: bammiminiico dot com, dot a you and then socks will

705
00:34:11,520 --> 00:34:15,719
Speaker 11: be available at every Chemist ware House store. Great and yeah,

706
00:34:15,760 --> 00:34:18,600
Speaker 11: they'll be available until the end of April. They're four

707
00:34:18,640 --> 00:34:21,640
Speaker 11: dollars ninety nine and you can also donate at the tills.

708
00:34:21,880 --> 00:34:25,680
Speaker 5: Love that special, Thank fantastic, Well thanks to Chemists were

709
00:34:25,760 --> 00:34:27,839
Speaker 5: good friends of ours on this show. They've been great

710
00:34:27,880 --> 00:34:30,480
Speaker 5: sponsors for a very long time. Nikki, good luck. It

711
00:34:30,600 --> 00:34:34,280
Speaker 5: is the Good Friday Appeal. Get involved, grab some socks,

712
00:34:34,440 --> 00:34:36,800
Speaker 5: or you can, like I said, make an additional donation

713
00:34:37,160 --> 00:34:39,960
Speaker 5: and any Chemists Warehouse Nikky have a great Easter.

714
00:34:40,280 --> 00:34:42,840
Speaker 8: Thank you so much, you too, This is a Fitzy

715
00:34:42,960 --> 00:34:44,240
Speaker 8: with brand Cape podcast.

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00:34:44,400 --> 00:34:47,440
Speaker 2: For all great shows like this, download the Nova player

717
00:34:47,640 --> 00:34:50,560
Speaker 2: fine the app store or Google Playing the player