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Speaker 1: My Heart podcasts, hear more gold one on one point

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Speaker 1: seven podcasts.

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Speaker 2: Playlists, and listen live on the free iHeart app. It's

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Speaker 2: time for the podcast.

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Speaker 3: Well, big excitement.

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Speaker 1: The show began just as the news was breaking that

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Speaker 1: Taylor Swift and Travis Kelcey I have announced their engagement.

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Speaker 3: Yeahah, yeah, I like those two.

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Speaker 4: They're nice kids.

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Speaker 3: Oh they're nice.

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Speaker 4: So you're English teacher and the petcher got married.

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Speaker 1: Well that's what they've said. You're making a sound like

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Speaker 1: you've come up with that.

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Speaker 4: I came up with it.

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Speaker 3: That's what Taylor. If you're on her social.

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Speaker 4: Media from anyone else, they've stolen from me.

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Speaker 3: So Taylor Swift stole that phrase from you?

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Speaker 4: Yeah pretty much? Yeah, yeah yeah, and you listened to

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Speaker 4: shake it off. That's all my stuff.

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Speaker 1: There's a link between how many photos you have stored

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Speaker 1: on your phone and old emails on your phone and

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Speaker 1: water shortage and environmental damage.

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Speaker 3: Quite extraordinary.

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Speaker 1: Talking through the science you ben to.

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Speaker 4: Get rid of all those dig pics on your phone?

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Speaker 1: Is that what they were? I thought they were a

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Speaker 1: hat stands.

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Speaker 4: Priscilla Presley will be joining us.

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Speaker 1: That's right, Look sharp TikTok to the last week's was hideous.

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Speaker 3: What will we make of Today's.

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Speaker 2: An International dog Day yesterday? But not every dog deserves

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Speaker 2: its day. Some dogs are right jerks.

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Speaker 3: Tribal drum will beat for that.

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Speaker 4: Enjoy the podcast.

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Speaker 5: It was now that a miracle of recording.

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Speaker 4: We have so many requests for.

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Speaker 6: Them to do it again, Mistress Amanda and miss Amanda

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Speaker 6: doesn't work alone.

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Speaker 1: Friend making the tools of the train.

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Speaker 2: I've heard them describe him as a drunken idiot.

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Speaker 4: The legendary part Jonesy and Amanda the.

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Speaker 1: Actress will congratulations, man, we are there any.

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Speaker 3: Now need the jersey and Amanda, you're doing a great job.

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Speaker 3: Anyone but your silk.

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Speaker 7: Good radio.

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Speaker 1: Sorry, but if a tone tongue twist set.

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Speaker 2: And Amanda shoot Tim We're on the out of the

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Speaker 2: body to you.

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Speaker 4: Amanda, Hello, how are you? I am excellent? The p excellent.

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Speaker 3: I'm thrilled and excited.

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Speaker 1: You've probably just heard the news that Taylor Swift and

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Speaker 1: Travis Kelcey are engaged.

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Speaker 4: Nice.

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Speaker 3: It just makes me feel good.

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Speaker 4: Obviously English teacher and your gym teacher. That's getting mad.

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Speaker 1: That's how she announced it, which I think was just lovely.

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Speaker 1: And the photos are beautiful. They're in a flowery garden.

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Speaker 1: It's just appropriate. She's wearing a summer dress. She's not

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Speaker 1: dressed like a you know, in a short skirt, the

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Speaker 1: high heels and the big show offye kind of stuff.

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Speaker 1: It just says everything that people love about her and

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Speaker 1: about him.

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Speaker 4: Nice. That is nice.

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Speaker 3: So yes, this is interesting.

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Speaker 1: And just one hour, the posters received nine point two

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Speaker 1: million likes on Instagram, so much so that the social

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Speaker 1: media platform has crashed for many people. Instagram users have

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Speaker 1: been able to load their likes because the system has failed.

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Speaker 2: For me, the last time the Internet was bragan was

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Speaker 2: when Kanne's Misso poured champagne over a naked bum. Maybe

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Speaker 2: this miss So, maybe the different times that we're living

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Speaker 2: in there, which.

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Speaker 1: Is nice to want to hear details of the ring. I

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Speaker 1: know you don't, but people do.

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Speaker 4: You don't care.

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Speaker 1: It's a beautiful ring and it's not a big punsy

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Speaker 1: show off his stand up he thing.

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Speaker 3: It's lovely.

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Speaker 1: Travis designed the ring with a man called Kindred Lubeck

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Speaker 1: of artifacts, fine jewelry.

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Speaker 3: Everyone's going to be they'll be having sails through the roof.

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Speaker 4: Thought you might go around a gold mark just around

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Speaker 4: the corner.

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Speaker 1: Could have done that Michael Hill Jewelers. Michael's passed away recently.

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Speaker 2: Of course, would kill you, Travis to go and honor

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Speaker 2: Michael Hill.

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Speaker 1: The engagement ring is an old mind brilliant cut, that's

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Speaker 1: what it's called. That's a vintage kind of feel to it. Yep,

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Speaker 1: the exact don't be bored. There's disgusts that people like

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Speaker 1: to hear if he brought a motorbike details.

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Speaker 4: Well of the details what sort of motorbike would have.

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Speaker 1: The exact size and value haven't been revealed, but an

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Speaker 1: expert has told Bride's magazine it's likely eight carrots and

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Speaker 1: costs five hundred and fifty thousand dollars.

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Speaker 4: It's a reasonable costed ring. What do you mean five

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Speaker 4: hundred and fifty thousand a lot?

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Speaker 3: I don't know.

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Speaker 2: They make a lot of money, but still they could

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Speaker 2: buy a million, two million dollar ring.

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Speaker 4: But that's that's.

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Speaker 1: Quite He's gone with a ring that probably means something

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Speaker 1: to both of them. That's what I love about them.

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Speaker 4: Congratulate those kids.

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Speaker 1: Actually, it's now it's sixteen million likes in the last

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Speaker 1: few hours since I've announced their engagement.

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Speaker 4: Is the last we need to talk about this?

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Speaker 3: Why you being it. It's a big deal. It's a

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Speaker 3: big deal.

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Speaker 1: This is one of these things that is bigger than

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Speaker 1: the sum of its parts. And I don't want to

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Speaker 1: talk about Travis's part, but this, this feel good story

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Speaker 1: makes a lot of people feel good. Ye, So I'm

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Speaker 1: winning the World Cup.

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Speaker 2: So I was distracted not by your ring talk, but

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Speaker 2: gem I rye, what are you doing here?

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Speaker 4: It's Wednesday?

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Speaker 3: That's right, you're not normally here.

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Speaker 4: Where's Brian?

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Speaker 8: They ordered me to come in because Brian's sick.

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Speaker 3: Oh no, I'm ordering flowers.

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Speaker 4: How does he get sick?

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Speaker 1: I don't know.

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Speaker 4: The man is a monolith.

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Speaker 3: I'm going to let me just just arranging, arranging, look

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Speaker 3: like that's Simpson.

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Speaker 1: Excuse me. I'm just dictating that. I'm just like Wendell.

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Speaker 3: I'm just dictating the card.

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Speaker 4: To still do.

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Speaker 3: And you're dear Ryan with a bee.

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Speaker 1: I hope you're feeling well. We miss you very much

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Speaker 1: and we'll make do until you do.

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Speaker 4: Send him some fruit basket. And so I've got a

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Speaker 4: doctor on tab send doctor Chris Brown Ran.

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Speaker 1: Well, he's a boy.

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Speaker 4: You can have a look at his fat locks.

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Speaker 1: Just check if his worming tablets are right to date.

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Speaker 2: Okay, Briscilla Presley will be joining us on the show today.

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Speaker 1: A big deal. That is a big deal, so many

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Speaker 1: big deal things.

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Speaker 2: Instagram makes us return and we can't do anything until

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Speaker 2: we do the Magnificent seven.

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Speaker 1: What's the first meal of the day intended to break

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Speaker 1: your fast?

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Speaker 2: They should send Brian a breakfast basket, shall I?

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Speaker 1: I want you to answer the question.

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Speaker 2: Thirteen fifty five twenty two. There's no time for this.

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Speaker 2: Brian's I'm well, really the true claring. We had some

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Speaker 2: Blenda Carlisle to provide coua for.

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Speaker 4: You, Bryan gam Nation Gold seven.

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Speaker 2: Hello there, it's jonesy Amanda, thanks to my Joe Holmes.

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Speaker 2: Part of Cloudy twenty two in the City and our West.

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Speaker 2: A beautiful looking sunrise at.

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Speaker 1: The morning, beautiful at the morning, at the morning.

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Speaker 4: I can't even talk because it's just you'r a gog.

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Speaker 2: And do you remember where you were on this day

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Speaker 2: when you found out that Brian called him sick?

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Speaker 3: The first I was going to say that Taylor Swift

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Speaker 3: got engaged.

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Speaker 2: That's yeah, that's that's just by you know, that'll be

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Speaker 2: a nice footnote. Taylor Swift Travis Kelcey were engaged the

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Speaker 2: day that Brian didn't come into work.

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Speaker 1: Look, I've sent the flowers, I've sent the fruit basket. Okay,

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Speaker 1: he said his mind to look after him, which I

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Speaker 1: think is a lovely thing.

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Speaker 2: Can we get a specialist doctor around to see him

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Speaker 2: as well?

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Speaker 8: Sitting right here and right.

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Speaker 2: Let's get into the seven seven questions? Can you go

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Speaker 2: all the way and answer all seven questions correctly? James

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Speaker 2: of coloradi thoughts and prayers for Brian.

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Speaker 1: I hope he gets better scene the work. Yeah, you

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Speaker 1: left out an important part of your introduction, Brinnan. We say,

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Speaker 1: if you get the all right, Amanda will.

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Speaker 4: Say, oh yeah, that's right. Yeah, I'll distracted.

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Speaker 1: I know you're distracted because of the illness that lurks

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Speaker 1: amongst us.

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Speaker 2: To play a man, a man like Brian gets on

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Speaker 2: workers taken down.

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Speaker 4: What about the rest of us as me immortals?

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Speaker 3: It frightens everyone scares me.

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Speaker 1: James's question number one, what's the first meal of the day?

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Speaker 1: Intended to break your fast? The answer was given by

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Speaker 1: Brendan Jones. But see if you can remember what he said,

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Speaker 1: it's breakfast.

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Speaker 4: James didn't know that he'd be Johnny Dumbo and he's not.

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Speaker 2: What color is the black box of playing, James, that's orange.

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Speaker 1: Let's play monster mash. We've mashed two songs together. What

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Speaker 1: are they any ideas, said James.

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Speaker 9: Yes, the first one is Wolfspin?

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Speaker 5: Is what song by Wolfspin?

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Speaker 1: You've munched the answers together though in word, but it's terrible.

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Speaker 1: That hurts my head. I think James has come from

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Speaker 1: another planet.

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Speaker 2: Thank you, James, and thanks for your thoughts about Brian.

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Speaker 2: Matt is in North Kellyville.

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Speaker 3: Hello, Matt, Good morning man, Good morning.

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Speaker 7: James.

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Speaker 3: Would like to.

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Speaker 4: Put in our card for Brian to get well card.

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Speaker 7: Yeah, you know, obviously taughts and prayers out to Brian

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Speaker 7: taking the extra long weekend.

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Speaker 2: Now, you know I won't have that chat here, Matt.

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Speaker 2: Brian is that not that sort of guy.

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Speaker 3: He's not Ryan is, But Brian would.

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Speaker 4: Definitely do that. But Brian is not that sort of guy.

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Speaker 1: You know. Brian is such a man mountain that only

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Speaker 1: he could over take the news that Taylor Swift got

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Speaker 1: engaged today. It seems that you've skewed the show towards that, Brendan.

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Speaker 3: Matt. He's question number three, what songs are being matched up?

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Speaker 4: Have a literally.

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Speaker 3: Do you know what the songs are? Even just one

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Speaker 3: of them?

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Speaker 9: So spin me around, yeah live.

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Speaker 3: We give you that, and what's the other one?

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Speaker 9: And Oasis wonder Wall.

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Speaker 1: This is why when James said spinwall or wall spin,

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Speaker 1: I thought it munched the answer together.

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Speaker 4: What is Richard Gear's middle name? Matt? Do you wint

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Speaker 4: the multiple choice on this or do you want to

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Speaker 4: have a crack multiple choice?

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Speaker 7: Please?

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Speaker 4: A Tiffany B Clifford, c Ryan with a B. Let's

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Speaker 4: go with Clifford.

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Speaker 3: It's not Clifford. Sorry about that, Matt.

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Speaker 2: We have a question before the Magnificent seven. What is

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Speaker 2: Richard Gear's middle.

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Speaker 3: Name Tiffany or is it Ryan with a B?

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Speaker 1: That's what I would call a child.

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Speaker 4: In fifty five twenty two.

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Speaker 2: That's our number, Chris seven shit podcast cold by A

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Speaker 2: one point seven. Hello there, it's Jersey the matter. It's

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Speaker 2: the twenty seventh of August. It's my brother's birthday today.

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Speaker 3: It's Matt.

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Speaker 1: Today, he will be seventy And happy birthday from your younger.

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Speaker 2: Brothers turning seventy today, So happy birth Happy birthday, Matt.

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Speaker 4: And also you remember where you were when you heard

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Speaker 4: the news.

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Speaker 3: Taylor Swift, Travis Kelsey a engaged.

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Speaker 2: Well there's that, but Brian with her or Ryan with

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Speaker 2: a bee didn't call into work today because he's unwell.

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Speaker 1: I think we should start calling Ryan Hi, Ryan, Ryan

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Speaker 1: without a bee. Yeah, maybe that's I think it's time

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Speaker 1: that Bryan takes Iner stay a brand.

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Speaker 2: It's Jeny right, Yeah, a team brand.

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Speaker 4: We're into the make seven up.

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Speaker 1: To question number four. It's going to Jason in sant Clair. Hello, Jason, Jason, Jason, Jason, Hello,

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Speaker 1: that you are Hi.

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Speaker 3: It's Richard Gear's middle name, is it?

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Speaker 1: We've got two options for you, Tiffany or Ryan with

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Speaker 1: a bee.

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Speaker 10: It's Tiffany.

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Speaker 3: Tiffany. This is from his mother's maiden name.

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Speaker 1: That old excuse true or false?

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Speaker 2: The inventor of the frisbee had his ashes turned into

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Speaker 2: a frisbee when he died.

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Speaker 4: Is that true or false? Jason?

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Speaker 7: True?

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Speaker 4: Yeah, it was true.

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Speaker 1: And before it passing, he said, when we die, we

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Speaker 1: don't go to purgatory.

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Speaker 3: We land on the roof and lay there kind of

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Speaker 3: like it.

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Speaker 2: Good Old Edward Hedrick. What is the term for molton

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Speaker 2: rock from a volcano? Jason lover LoVa.

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Speaker 3: Question seven.

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Speaker 1: This is where we are already, Jason, who just announced

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Speaker 1: their engagement to Travis Kelsey.

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Speaker 2: Taylor sweet is Jason any words you'd like to pass

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Speaker 2: on to Brian.

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Speaker 3: Going to say to Taylor and Travis, come on time,

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Speaker 3: it's back to work soon.

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Speaker 9: I know you guys miss him.

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Speaker 4: We do.

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Speaker 2: It's like, you know, really, it feels like we're missing

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Speaker 2: an arm on the show today over in congratulations you

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Speaker 2: won the jam pack two hundred dollars to spend a

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Speaker 2: bay Vista dessert. Well, the famous desserts and bay Visita

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Speaker 2: paramatter and Bridness says a double pass two Life of

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Speaker 2: Chuck plus Jones and demanded characters for the color and

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Speaker 2: some standard pencils.

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Speaker 4: Jason, anything else you'd like to add or is that here?

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Speaker 1: No, that's all, thank you very much, my man, Jonesy

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Speaker 1: and Amanda.

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Speaker 7: Podcast Josie and a man.

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Speaker 3: Those are two great names.

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Speaker 2: Coming through the Jermanak our Big Book of Musical Facts.

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Speaker 2: On this day in nineteen ninety three, well, Brian called

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Speaker 2: in sick on this day.

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Speaker 4: That's something not on nineteen You're.

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Speaker 3: Going to have to rally Brendon. This is really knocking

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Speaker 3: you around.

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Speaker 4: Why just should know.

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Speaker 2: The guy like it must be a serious illness for

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Speaker 2: a man of that statue too.

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Speaker 4: He's not He's not like Jimi.

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Speaker 8: Right.

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Speaker 3: We just know who had Dan Droff to go.

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Speaker 1: Home on this day nineteen spy and got overwhelmed.

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Speaker 4: Remember that went to stay out for thirteen.

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Speaker 2: Tina Turner released her What's Love Got.

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Speaker 4: To Do with It? Was that?

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Speaker 2: That wasn't nineteen ninety three, Sure that was in the

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Speaker 2: eighties anyway. The music legend still to this day is

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Speaker 2: dubbed as the Queen of rock and roll, But it

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Speaker 2: wasn't a title she earned easily.

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Speaker 1: In America.

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Speaker 6: Radio programmers don't program you as a black person rock

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Speaker 6: and roll, you R and.

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Speaker 4: B because of your color. I've been rock and roll

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Speaker 4: all my life.

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Speaker 6: I have stood with the rock and roll guys, and

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Speaker 6: still they say they the radio programmer said, no, we

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Speaker 6: cannot program her, she's R and B. But I reversed

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Speaker 6: it on them my audience. The people proclaimed me in rock.

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Speaker 3: And roll, and so it was dis forced.

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Speaker 6: So it didn't matter what the radio stations were saying

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Speaker 6: or we're playing now. I feel that one over them,

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Speaker 6: because it's like saying, you knew it all the time,

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Speaker 6: you just didn't.

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Speaker 4: Want to give that to me.

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Speaker 3: But the public came to me.

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Speaker 2: So it was a four hard battle for Tina to

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Speaker 2: be the queen of rock and rock because if you're black,

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Speaker 2: you just had to be R and B in America.

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Speaker 2: I just an addendum to that. The song came out

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Speaker 2: in nineteen eighty four. But remember the show What's Love

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Speaker 2: Got to Do with It? The biopic?

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Speaker 5: Right?

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Speaker 4: It was very good.

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Speaker 3: Send it to the top of the charts again.

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Speaker 4: Who was in that? James Rain was in that really yeah? Yeah,

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Speaker 4: as he was in ninety three.

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Speaker 3: He was the manager Roger Davidson.

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Speaker 4: Yeah. As a fun fact, like Australian.

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Speaker 3: He can't get a more Australian voice than James Rain.

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Speaker 2: For US, radio programmers are a different breed here. For example,

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Speaker 2: let's look at core artists rock seat and the many

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Speaker 2: very genres it fits under. So you've got rock rock seat,

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Speaker 2: and then there's R and B rock sead, yeah, and

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Speaker 2: then there's ballad, rock set.

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Speaker 3: About synth pop, rock set yeah, I see what you do.

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Speaker 4: There are many many different.

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Speaker 3: Genres of rock set.

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Speaker 4: Rock set. Bettina is always rock and roll to us.

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Speaker 3: Do you have lots of old photos on your phone?

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Speaker 4: Yeah?

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Speaker 3: We all do, don't we?

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Speaker 2: And you go through from time to time and scroll

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Speaker 2: through and delete the ones.

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Speaker 4: Do you, yep, I get rid of shots? Do you

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Speaker 4: ones that I'm not going to use?

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Speaker 3: We use for what though?

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Speaker 4: Just ones that I've got pictures of that.

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Speaker 1: It's so funny because do we all remember the photos

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Speaker 1: that we've got. I don't think we do. It's just

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Speaker 1: a storage facility really on your phone. And this is

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Speaker 1: what I think is interesting is the UK government is

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Speaker 1: asking people to get rid of their photos and old

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Speaker 1: emails to help tackle a water shortage. You wouldn't think

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Speaker 1: that that would correlate with an environmental crisis. It's been

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Speaker 1: described as a nationally significant incident five areas in the

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Speaker 1: UK officially and drought. And what they're saying is that

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Speaker 1: all of your stuff is stored up in the cloud,

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Speaker 1: and it's the cloud that needs water to cool those

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Speaker 1: computers that are taking up all this water.

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Speaker 3: Have a listen.

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Speaker 11: Whatever you store something up in the cloud, it requires

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Speaker 11: computers and computer servers to save that. The servers generate heat.

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Speaker 11: That heat needs to be called somehow. They oftimes use

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Speaker 11: water to cool the servers.

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Speaker 10: Some data centers use up to nineteen million liters of

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Speaker 10: water a day.

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Speaker 12: That's the same as about fifteen thousand households.

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Speaker 1: So the government, the UK government is saying by deleting

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Speaker 1: one thousand old emails with attachments could save seventy seven

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Speaker 1: liters of water. It's worth going through the phone. You'll

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Speaker 1: save space and water. But AI is really going to

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Speaker 1: be impacting this more and more environmental impact from AI.

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Speaker 1: Training and using large AI models requires vast amounts of electricity,

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Speaker 1: with AI workloads projected to consumingly half of all global

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Speaker 1: data center electricity by the end of twenty twenty five.

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Speaker 1: So this surge and energy use contributes to rising greenhouse

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Speaker 1: gas emissions, peing even the aviation industry, so that's quite extraordinary.

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Speaker 1: AI data centers rely heavily on water for cooling. These

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Speaker 1: figures are extraordinary in terms of water usage. AI data

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Speaker 1: centers in the US alone consumed seventeen billion gallons of

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Speaker 1: water in twenty twenty three, so they're extrapolating this mats

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Speaker 1: to it's going to be about one hundred and forty

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Speaker 1: eight billion gallons of water annually.

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Speaker 3: Let me put that in a context.

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Speaker 1: One hundred and forty eight billion gallons of water is

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Speaker 1: ninety three billion flushes of a toilet two hundred and

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Speaker 1: twenty four thousand Olympic sized pools.

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Speaker 3: This is what's been used.

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Speaker 1: Annually three hundred and forty three thousand football fields. This

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Speaker 1: water would supply New York City with water for five months.

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Speaker 3: It's about one point.

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Speaker 1: Eight five billion bath tubs and pretty much the equivalent

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Speaker 1: of my ankle water. Okay, so this is a public

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Speaker 1: service announcement. If your old photos, your old emails, have

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Speaker 1: a cull really because environmental impact is extraordinary.

402
00:18:11,324 --> 00:18:13,804
Speaker 4: But to delete my nudes of who.

403
00:18:15,804 --> 00:18:20,044
Speaker 2: To see if everything's in peak condition, you it need

404
00:18:20,124 --> 00:18:20,844
Speaker 2: some cooling there.

405
00:18:21,164 --> 00:18:23,244
Speaker 1: Well, you know what you could do? Send it off

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00:18:23,924 --> 00:18:26,924
Speaker 1: to you. Hell, what's this?

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Speaker 3: Is that a knuckle?

408
00:18:28,964 --> 00:18:32,084
Speaker 1: But you can You can send this stuff to chat

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Speaker 1: gpt and it will tell you your medical information. Chat

410
00:18:35,044 --> 00:18:38,564
Speaker 1: GPT is very useful, but it also has a big downside.

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Speaker 1: We'll talk about that next in the pub test.

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Speaker 2: Let's get on there to the jonesy demand of rams

413
00:18:47,404 --> 00:18:51,404
Speaker 2: to the pub test today. Chat GPT does it pass

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Speaker 2: the pub test.

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Speaker 1: It's a more human interaction than Google is. This is

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Speaker 1: the whole point. This is the new AI. It's trying

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Speaker 1: to replicate how humans think, and there are a lot

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00:19:01,684 --> 00:19:04,684
Speaker 1: of great things about it. You know, a lot of

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00:19:04,884 --> 00:19:08,724
Speaker 1: students use it. Anita, who I do my podcast with,

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00:19:09,124 --> 00:19:11,924
Speaker 1: is a university lecturer. She can tell now when people

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00:19:11,964 --> 00:19:14,644
Speaker 1: are using it for exams and things. But it is

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00:19:14,684 --> 00:19:19,803
Speaker 1: a great tool for research, for essays for life. It

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00:19:19,884 --> 00:19:22,323
Speaker 1: is a really good tool. But there's a downside to

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00:19:22,404 --> 00:19:25,164
Speaker 1: it as well. People are relying on it when they shouldn't.

425
00:19:25,164 --> 00:19:27,844
Speaker 1: Did you see that couple at the Spanish couple the

426
00:19:27,884 --> 00:19:30,644
Speaker 1: influences The influencers broke down in tears. They missed their

427
00:19:30,644 --> 00:19:33,884
Speaker 1: flight because they'd asked chat gpt if they needed a

428
00:19:33,884 --> 00:19:36,884
Speaker 1: certain visa to travel and chat gpt said no. So

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00:19:36,924 --> 00:19:39,204
Speaker 1: they turned up and found they couldn't travel because in

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00:19:39,204 --> 00:19:41,523
Speaker 1: fact it was wrong. So don't rely on it for

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Speaker 1: information like that.

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Speaker 4: It's meant to do the group work.

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Speaker 1: But also people are using it like a psychologist in

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Speaker 1: your pocket. There's been some very sad stories of people

435
00:19:51,284 --> 00:19:54,083
Speaker 1: taking their own lives and people have thought, what's happened here?

436
00:19:54,124 --> 00:19:56,004
Speaker 1: They didn't tell me anything, and they look back through

437
00:19:56,084 --> 00:19:58,924
Speaker 1: their history and they've been sharing all their feelings with

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Speaker 1: chat gpt, And if it was a human at the

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00:20:01,604 --> 00:20:03,924
Speaker 1: other end, there may have been some respites.

440
00:20:03,964 --> 00:20:06,124
Speaker 4: So surely these people know that there's not a human

441
00:20:06,164 --> 00:20:06,884
Speaker 4: at the other end.

442
00:20:06,964 --> 00:20:09,964
Speaker 1: No, but chat GPTs come a partner to a lot

443
00:20:10,004 --> 00:20:12,764
Speaker 1: of people. This is stuff I'm reading about too. It's

444
00:20:13,044 --> 00:20:17,324
Speaker 1: a it feels like a human interaction and they respond

445
00:20:17,484 --> 00:20:19,964
Speaker 1: like humans, and you know it's not a human, but

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00:20:20,044 --> 00:20:24,884
Speaker 1: it's very it's friendly, it's conducive to you sharing your

447
00:20:24,884 --> 00:20:25,804
Speaker 1: feelings a whole lot.

448
00:20:25,764 --> 00:20:27,724
Speaker 4: Of Stuff's like sharing your feelings with your car.

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00:20:28,084 --> 00:20:31,763
Speaker 1: Yeah, well maybe that's right, but that gives some people

450
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Speaker 1: some comfort.

451
00:20:32,964 --> 00:20:35,803
Speaker 2: Yeah, well of course, but having said that, I wouldn't

452
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Speaker 2: take advice from any automobile.

453
00:20:37,884 --> 00:20:39,724
Speaker 4: Or there was a story where something it's a tool

454
00:20:39,764 --> 00:20:40,644
Speaker 4: to get me from A to B.

455
00:20:40,844 --> 00:20:44,763
Speaker 1: Well, someone had said to a chat GPT psychologist in

456
00:20:44,804 --> 00:20:47,324
Speaker 1: your pocket as they call it, they said they felt

457
00:20:47,324 --> 00:20:49,404
Speaker 1: like jumping off a cliff and the response was, well,

458
00:20:49,404 --> 00:20:51,164
Speaker 1: that's good, you're getting into the great outdoors.

459
00:20:51,324 --> 00:20:53,603
Speaker 3: There's a nuance that's missed through all of that.

460
00:20:54,404 --> 00:20:56,604
Speaker 1: But it is a great tool for a lot of people.

461
00:20:56,684 --> 00:20:57,964
Speaker 1: So let's see what you think.

462
00:20:58,244 --> 00:21:00,404
Speaker 3: Do you use it, how to use it? Chat GPT?

463
00:21:00,844 --> 00:21:02,244
Speaker 3: Does it pass the pub testage?

464
00:21:02,284 --> 00:21:07,244
Speaker 4: Yeah, jamnation, you got a big clastofer cold frendon you.

465
00:21:07,204 --> 00:21:10,364
Speaker 1: Wanted to call this competition and I said, don't do it.

466
00:21:10,324 --> 00:21:11,684
Speaker 3: Because you can't do it.

467
00:21:11,844 --> 00:21:14,364
Speaker 2: Big Big hour on the show. Priscilla Presley will be

468
00:21:14,444 --> 00:21:17,484
Speaker 2: joining us. Also, TikTok Tucker makes its return today.

469
00:21:17,564 --> 00:21:20,324
Speaker 3: That's why Ryan with a Bee. Brian isn't here.

470
00:21:20,124 --> 00:21:22,964
Speaker 1: Today because last week he had to sample one of

471
00:21:22,964 --> 00:21:24,204
Speaker 1: the worst things we've ever done.

472
00:21:24,444 --> 00:21:26,763
Speaker 4: I can't remember what it was.

473
00:21:26,804 --> 00:21:27,644
Speaker 3: It was supposed to.

474
00:21:27,564 --> 00:21:31,084
Speaker 1: Be like a low calorie brownie and we got lied

475
00:21:31,124 --> 00:21:33,244
Speaker 1: to by TikTok because the guy said it was delicious.

476
00:21:33,404 --> 00:21:35,884
Speaker 1: It's the plug from the coffee member. So it's just

477
00:21:35,924 --> 00:21:39,763
Speaker 1: the plug from the coffee machine with whipped cream and

478
00:21:39,844 --> 00:21:43,164
Speaker 1: chocolate sauce on it, and you bite into it.

479
00:21:43,324 --> 00:21:44,164
Speaker 3: Here's the result.

480
00:21:45,644 --> 00:21:55,204
Speaker 1: No no, no, no no at first, no, okay.

481
00:21:55,484 --> 00:21:56,044
Speaker 4: It's just.

482
00:21:58,124 --> 00:22:00,684
Speaker 2: It sounds like that time you had inadvertently involved in

483
00:22:00,684 --> 00:22:03,083
Speaker 2: a drug rip about it.

484
00:22:03,764 --> 00:22:06,164
Speaker 1: I don't even really drink coffee, so that big hit

485
00:22:06,244 --> 00:22:08,323
Speaker 1: of coffee granules nearly killed me.

486
00:22:08,364 --> 00:22:10,523
Speaker 2: I would rather eat a tombi en after a bear

487
00:22:10,564 --> 00:22:11,724
Speaker 2: has come out of hibernation.

488
00:22:11,844 --> 00:22:13,484
Speaker 1: Well, who knows what we're going to eat today? That

489
00:22:13,604 --> 00:22:14,684
Speaker 1: is coming up pub.

490
00:22:14,524 --> 00:22:19,043
Speaker 2: Test that's coming up next though chat GPT does it

491
00:22:19,084 --> 00:22:19,884
Speaker 2: past the pub test?

492
00:22:21,484 --> 00:22:24,204
Speaker 1: Sham Notion podcast When.

493
00:22:24,524 --> 00:22:27,244
Speaker 6: God I wanted to get on right now?

494
00:22:30,084 --> 00:22:32,364
Speaker 5: Windows your head.

495
00:22:32,204 --> 00:22:38,523
Speaker 2: On a Gell Jennathy Jonesy demand of arms for the

496
00:22:38,524 --> 00:22:41,644
Speaker 2: pub test. Chat GPT does it pass the pub Test?

497
00:22:41,764 --> 00:22:43,444
Speaker 3: A Spanish couple have gone viral.

498
00:22:43,524 --> 00:22:47,244
Speaker 1: They blame chat GPT because they asked chat gpt if

499
00:22:47,284 --> 00:22:50,323
Speaker 1: they needed a particular visa to get into a country,

500
00:22:50,324 --> 00:22:52,884
Speaker 1: and they turned up and found out that the information

501
00:22:52,924 --> 00:22:53,324
Speaker 1: they were.

502
00:22:53,204 --> 00:22:54,404
Speaker 3: Given was incorrect.

503
00:22:54,884 --> 00:22:58,523
Speaker 1: Lots of people using chat GPT, not just for information,

504
00:22:59,364 --> 00:23:02,444
Speaker 1: but for emotional reasons as well. People are forming relationships

505
00:23:02,444 --> 00:23:06,404
Speaker 1: through chat GPT. People are turning to it for psychological advice.

506
00:23:06,524 --> 00:23:09,604
Speaker 4: It's a tool. It's like your lawnmark. Before the we

507
00:23:09,644 --> 00:23:12,283
Speaker 4: had a site, people had to walk around cut their grass.

508
00:23:12,484 --> 00:23:15,164
Speaker 2: It's not asking your lawnmark for advice. You use it

509
00:23:15,444 --> 00:23:16,284
Speaker 2: up the ground.

510
00:23:15,964 --> 00:23:20,004
Speaker 1: Point, though, it's become more than a tool start because

511
00:23:20,044 --> 00:23:21,044
Speaker 1: you've got Google et.

512
00:23:21,004 --> 00:23:21,523
Speaker 3: Cetera for that.

513
00:23:21,644 --> 00:23:24,564
Speaker 1: The whole point of chat GPT and AI, they're working

514
00:23:24,684 --> 00:23:28,484
Speaker 1: very hard to replicate human interaction. This is where it's going,

515
00:23:28,564 --> 00:23:31,404
Speaker 1: and that can be useful, it can also be dangerous.

516
00:23:31,644 --> 00:23:33,924
Speaker 3: Chat GPT does it past the pub test?

517
00:23:34,124 --> 00:23:38,323
Speaker 13: So I use it regularly for work writing documents. But

518
00:23:38,684 --> 00:23:43,364
Speaker 13: I know the difference between my personal life and professional life,

519
00:23:43,524 --> 00:23:45,644
Speaker 13: and I think this is where the boundary needs to

520
00:23:45,644 --> 00:23:47,964
Speaker 13: be drawn, because there's a lot of people out there

521
00:23:48,044 --> 00:23:52,123
Speaker 13: starting to use it as a personal advice tool, and

522
00:23:52,244 --> 00:23:54,804
Speaker 13: I think that's where it starts to get dangerous because

523
00:23:54,804 --> 00:23:59,083
Speaker 13: it is unregulated and it doesn't have any boundaries in

524
00:23:59,124 --> 00:23:59,764
Speaker 13: that respect.

525
00:24:00,204 --> 00:24:03,323
Speaker 10: I use EXL databases, and I use coding, and I

526
00:24:03,484 --> 00:24:06,043
Speaker 10: use SKGPT, and it's fantastic.

527
00:24:06,124 --> 00:24:07,283
Speaker 14: It actually does it for you.

528
00:24:07,484 --> 00:24:10,204
Speaker 9: Well, you tell me what to do things out the

529
00:24:10,244 --> 00:24:12,484
Speaker 9: coding and do you have it chept?

530
00:24:12,684 --> 00:24:13,804
Speaker 10: Does approtis?

531
00:24:14,204 --> 00:24:15,124
Speaker 14: No, it doesn't.

532
00:24:15,204 --> 00:24:18,444
Speaker 6: I've been a psychologist for over twenty five years and

533
00:24:18,484 --> 00:24:18,964
Speaker 6: there are.

534
00:24:18,884 --> 00:24:25,084
Speaker 15: Many many concerning aspects to AI trying to replicate human relationships.

535
00:24:25,364 --> 00:24:27,763
Speaker 9: I think people should be very worried.

536
00:24:28,924 --> 00:24:31,604
Speaker 2: Interesting, no more worried than we were about the car.

537
00:24:31,804 --> 00:24:34,804
Speaker 2: It does come with its own caveat of problems. But people,

538
00:24:34,964 --> 00:24:37,764
Speaker 2: but we're the masters of AI, we are the masters

539
00:24:37,764 --> 00:24:38,724
Speaker 2: of chat GPT.

540
00:24:39,084 --> 00:24:40,523
Speaker 3: Yes, but it does.

541
00:24:40,324 --> 00:24:45,004
Speaker 1: Give you human interaction and human advice, So be careful.

542
00:24:46,724 --> 00:24:49,564
Speaker 1: Do you start am what you do with we that

543
00:24:49,724 --> 00:24:50,164
Speaker 1: you do it?

544
00:24:50,644 --> 00:24:56,004
Speaker 15: Fancy the moldy bacteria, Investors, slavers, meat fall off.

545
00:24:56,044 --> 00:25:01,763
Speaker 2: The results too much, tends to give your diary. TikTok taker,

546
00:25:01,764 --> 00:25:04,084
Speaker 2: we make food from TikTok and eat it. I see

547
00:25:04,124 --> 00:25:06,004
Speaker 2: that the boiler is going in the studio.

548
00:25:06,124 --> 00:25:08,804
Speaker 3: Yes, I am. We've got this hot plate in here.

549
00:25:08,884 --> 00:25:10,563
Speaker 1: You know when you see people do things on TikTok

550
00:25:10,604 --> 00:25:12,924
Speaker 1: or on cooking shows and they've got this hot plate thing.

551
00:25:12,964 --> 00:25:15,244
Speaker 3: I don't like it, but anyway.

552
00:25:14,924 --> 00:25:15,644
Speaker 1: That's what we've got.

553
00:25:15,724 --> 00:25:16,604
Speaker 3: It's an induction.

554
00:25:16,684 --> 00:25:18,724
Speaker 4: Wait, you've got a beef with boiling water.

555
00:25:18,804 --> 00:25:21,444
Speaker 1: Now, no, with this induction cooker thing, because I don't

556
00:25:22,084 --> 00:25:23,364
Speaker 1: I don't understand induction.

557
00:25:24,084 --> 00:25:25,283
Speaker 3: I like to see a flame.

558
00:25:25,324 --> 00:25:27,644
Speaker 2: Ironically, you're the person that needs induction because you don't

559
00:25:27,644 --> 00:25:28,964
Speaker 2: know how to sit in the chair properly.

560
00:25:29,044 --> 00:25:29,484
Speaker 3: Thank you.

561
00:25:30,444 --> 00:25:33,124
Speaker 1: Now, what I'm doing That noise you're hearing is I've

562
00:25:33,124 --> 00:25:35,204
Speaker 1: got a pot of water on the boil.

563
00:25:35,724 --> 00:25:37,444
Speaker 3: Do you like pasta?

564
00:25:37,884 --> 00:25:38,884
Speaker 4: I love pasta.

565
00:25:39,284 --> 00:25:42,684
Speaker 1: People love pasta. They like pasta, sauces pasta pasta.

566
00:25:42,724 --> 00:25:43,763
Speaker 4: I remember the old village.

567
00:25:43,764 --> 00:25:46,004
Speaker 2: My nana used to make the pasta, and she'd say,

568
00:25:46,564 --> 00:25:48,524
Speaker 2: and you come into us and you eat the pasta.

569
00:25:48,724 --> 00:25:51,524
Speaker 3: Did she how intriguing. The shire was alive.

570
00:25:52,364 --> 00:25:55,164
Speaker 4: But what a village of carrying bar Yeah.

571
00:25:54,724 --> 00:25:56,804
Speaker 1: And that tribe that you lived with all those years,

572
00:25:56,804 --> 00:26:00,244
Speaker 1: the Italian tribe. But we've had pasta salads, all kinds

573
00:26:00,284 --> 00:26:05,004
Speaker 1: of different pasta. What about a pasta dessert? No one's

574
00:26:05,044 --> 00:26:07,404
Speaker 1: ever called for it, but I've seen someone cook one

575
00:26:07,524 --> 00:26:10,843
Speaker 1: and they loved it. So I'm going to make penne teller.

576
00:26:11,844 --> 00:26:17,043
Speaker 1: That's a joke around Nutella and Penne. You look bored

577
00:26:17,084 --> 00:26:17,484
Speaker 1: as hell?

578
00:26:18,164 --> 00:26:20,124
Speaker 3: Do you look as bored as hell?

579
00:26:20,244 --> 00:26:22,724
Speaker 2: I'm just stitching my sides back together with the human

580
00:26:22,764 --> 00:26:23,404
Speaker 2: that's covering out.

581
00:26:23,724 --> 00:26:26,763
Speaker 1: Oh shut up. Anyway, this isn't a funny sigma. This

582
00:26:26,804 --> 00:26:28,684
Speaker 1: is a food segment. And mind you to snort a bit,

583
00:26:28,724 --> 00:26:31,204
Speaker 1: mrug and he's not going through your nostrils. Can we

584
00:26:31,284 --> 00:26:33,684
Speaker 1: not share a microphone please? I don't like it. So

585
00:26:33,804 --> 00:26:35,684
Speaker 1: what I'm going to do, I'm going to boil this

586
00:26:35,884 --> 00:26:38,363
Speaker 1: penne and I've got the water onto boil. It's got

587
00:26:38,404 --> 00:26:40,684
Speaker 1: to be in a rolling boil, rolling goros.

588
00:26:40,764 --> 00:26:41,604
Speaker 4: It's almost there.

589
00:26:41,764 --> 00:26:44,043
Speaker 1: It's almost there, and I'm going to put some pastor

590
00:26:44,124 --> 00:26:46,604
Speaker 1: in and once the pasta has cooked, and obviously this

591
00:26:46,644 --> 00:26:49,323
Speaker 1: will be after the news I'm going to add some

592
00:26:49,564 --> 00:26:54,364
Speaker 1: ntella and the garnish is some grated chocolate and apparently

593
00:26:54,564 --> 00:26:55,404
Speaker 1: it's delicious.

594
00:26:55,804 --> 00:26:56,724
Speaker 3: Though last week we.

595
00:26:56,724 --> 00:26:59,724
Speaker 1: Heard that those locale chocolate brownies were going to be delicious,

596
00:26:59,844 --> 00:27:00,244
Speaker 1: it was.

597
00:27:00,204 --> 00:27:02,804
Speaker 4: Just raw coffee.

598
00:27:03,004 --> 00:27:08,083
Speaker 1: Penne? Do you have penne envy? So you're smiling at that?

599
00:27:08,244 --> 00:27:10,884
Speaker 1: I finally got a smile from Brendan Jones. Yeah.

600
00:27:10,964 --> 00:27:12,684
Speaker 4: Good. You should do a radiation, shouldn't.

601
00:27:12,684 --> 00:27:13,764
Speaker 3: I I'm wasted in here.

602
00:27:13,764 --> 00:27:15,563
Speaker 1: I'm always wasting, So anybody I can get through.

603
00:27:15,404 --> 00:27:18,084
Speaker 4: It, I should join bomb nuts and tofu I should.

604
00:27:18,324 --> 00:27:20,523
Speaker 1: They're very good. Do you think that's enough of boiling?

605
00:27:20,564 --> 00:27:21,604
Speaker 1: Can I put the pastora in now?

606
00:27:22,844 --> 00:27:23,803
Speaker 4: Can you put some salt in?

607
00:27:23,924 --> 00:27:24,004
Speaker 16: No?

608
00:27:24,084 --> 00:27:26,523
Speaker 1: You don't in this one because it's a dessert. So

609
00:27:26,604 --> 00:27:29,124
Speaker 1: I'm just going to put in about that much, I

610
00:27:29,164 --> 00:27:30,724
Speaker 1: reckon just enough for the three of us in here.

611
00:27:31,404 --> 00:27:32,684
Speaker 3: So that's in there now.

612
00:27:33,124 --> 00:27:36,603
Speaker 2: That is going up, maybe aside for Brian as well,

613
00:27:36,644 --> 00:27:37,564
Speaker 2: because he's on well.

614
00:27:37,364 --> 00:27:40,364
Speaker 1: Today, we'll send it to his home. So that's now

615
00:27:40,404 --> 00:27:42,524
Speaker 1: going to bubble away. That's going to cook. That takes

616
00:27:42,524 --> 00:27:44,604
Speaker 1: what about fifteen twenty minutes to cook the past.

617
00:27:44,564 --> 00:27:46,404
Speaker 2: Well, we've got a lot coming up we've got Priscilla

618
00:27:46,444 --> 00:27:47,164
Speaker 2: Presley came out.

619
00:27:47,204 --> 00:27:48,204
Speaker 4: So you work this out.

620
00:27:48,444 --> 00:27:50,563
Speaker 1: I have worked this out. So we're going to go

621
00:27:50,604 --> 00:27:52,763
Speaker 1: to the news. Out of the news, I'm going to

622
00:27:52,884 --> 00:27:56,484
Speaker 1: add our choco, our Natella grate, some white chocolate on it,

623
00:27:56,684 --> 00:27:59,604
Speaker 1: and then after that, what a shock, We're going to

624
00:27:59,604 --> 00:28:00,523
Speaker 1: attempt to eat it.

625
00:28:00,844 --> 00:28:01,484
Speaker 4: I'm excited.

626
00:28:01,484 --> 00:28:03,644
Speaker 1: This is one of those ones that could be delicious

627
00:28:03,724 --> 00:28:05,204
Speaker 1: or it could be hidious.

628
00:28:05,324 --> 00:28:06,924
Speaker 3: Jonesy and Amanda.

629
00:28:07,564 --> 00:28:13,644
Speaker 12: Podcast starting what you do with that?

630
00:28:13,764 --> 00:28:14,164
Speaker 9: You do it?

631
00:28:14,324 --> 00:28:18,284
Speaker 15: That's a fancy the moldy bacteria invested slab.

632
00:28:18,004 --> 00:28:25,804
Speaker 4: Of meat fall off the rest to give you TikTok tacker.

633
00:28:25,844 --> 00:28:27,244
Speaker 4: We make food from tiktoket.

634
00:28:27,484 --> 00:28:29,084
Speaker 2: I'm over on your side of the desk, and I

635
00:28:29,084 --> 00:28:30,964
Speaker 2: don't know what's a winging about. You've got a great

636
00:28:31,044 --> 00:28:33,724
Speaker 2: view here, you complain, No, I don't you've got.

637
00:28:33,764 --> 00:28:35,564
Speaker 4: I've got the better view you've got.

638
00:28:35,604 --> 00:28:38,004
Speaker 2: You're looking at the spit bridge and you've got the

639
00:28:38,084 --> 00:28:39,764
Speaker 2: concrete plant down there.

640
00:28:39,604 --> 00:28:41,684
Speaker 3: And I've got your breath in my face. I'm not happy.

641
00:28:41,924 --> 00:28:44,004
Speaker 2: And you got Garden Island look at I got that

642
00:28:44,084 --> 00:28:45,684
Speaker 2: loser Harbor bridge in the Opera House.

643
00:28:46,324 --> 00:28:51,564
Speaker 1: Anyway, today we're making penne teller, which is pennae mixed

644
00:28:51,564 --> 00:28:55,124
Speaker 1: with nattella. It's a pasta dessert. I've got a question

645
00:28:55,204 --> 00:28:57,164
Speaker 1: to ask you, Brendan, because you do know everything. Is

646
00:28:57,204 --> 00:28:58,924
Speaker 1: it bad food to eat rawish pasta?

647
00:28:59,484 --> 00:29:00,644
Speaker 4: I meant cockatoo island?

648
00:29:02,564 --> 00:29:07,284
Speaker 1: No, okay, because I think that's what you're having early enough, right,

649
00:29:07,404 --> 00:29:08,524
Speaker 1: so I was going to put it on at six

650
00:29:08,524 --> 00:29:13,084
Speaker 1: o'clock before TikTok tucker begins. No, so let's throw one

651
00:29:13,124 --> 00:29:14,484
Speaker 1: of these at the wall and sit. You throw that

652
00:29:14,484 --> 00:29:16,804
Speaker 1: and see if it sticks. Isn't what you're supposed to do?

653
00:29:18,444 --> 00:29:18,884
Speaker 1: Eat that?

654
00:29:19,204 --> 00:29:20,044
Speaker 4: Yeah? I think it's right.

655
00:29:20,124 --> 00:29:22,084
Speaker 1: Okay, So what we do now? This has been boiling

656
00:29:22,164 --> 00:29:27,804
Speaker 1: long enough, Let's turn it off. Enough cooked enough? Okay,

657
00:29:27,884 --> 00:29:31,804
Speaker 1: So I take I take the pasta and put it

658
00:29:31,964 --> 00:29:37,084
Speaker 1: into a bowl. Yep, that's what I'm doing. Okay, there

659
00:29:37,124 --> 00:29:41,324
Speaker 1: we go. What I do now very detailed? I add ntella.

660
00:29:41,604 --> 00:29:46,364
Speaker 2: Oh well, n tellum was invented by the Italians.

661
00:29:46,404 --> 00:29:47,524
Speaker 4: Did you know that fun fact?

662
00:29:48,244 --> 00:29:53,924
Speaker 1: During the war, young you have enough chocolate.

663
00:29:54,324 --> 00:29:55,724
Speaker 4: So you got the hazel nuts and mixed up in

664
00:29:55,764 --> 00:29:59,084
Speaker 4: this chocolate rash. If I'm boring you, actually.

665
00:29:58,764 --> 00:30:01,724
Speaker 1: So let me just do this because my son has

666
00:30:01,764 --> 00:30:04,484
Speaker 1: a nut allergy. We never had anteller in the house,

667
00:30:04,524 --> 00:30:06,684
Speaker 1: so I can't believe that kids are just allowed to

668
00:30:06,684 --> 00:30:08,804
Speaker 1: eat chocolate a chocolate substitute?

669
00:30:09,004 --> 00:30:10,004
Speaker 4: Yeah, who has that?

670
00:30:10,084 --> 00:30:12,004
Speaker 3: Like having that on sandwiches? It seems illegal.

671
00:30:12,124 --> 00:30:14,364
Speaker 4: Yeah, I don't know. I'm not I'm not a fan.

672
00:30:14,804 --> 00:30:15,884
Speaker 1: Right, So we mixed it around.

673
00:30:15,964 --> 00:30:20,804
Speaker 4: You ready, yep, I've got my pastor. Yep, not your microphone.

674
00:30:21,044 --> 00:30:22,964
Speaker 1: I've got my pastor. I've got my microphone. I've got

675
00:30:22,964 --> 00:30:25,084
Speaker 1: my orange crush. And now what we.

676
00:30:25,084 --> 00:30:26,684
Speaker 3: Do that's all through there.

677
00:30:26,684 --> 00:30:27,164
Speaker 4: You're ready.

678
00:30:27,764 --> 00:30:30,604
Speaker 3: What we do now is we take some white chocolate

679
00:30:31,804 --> 00:30:32,044
Speaker 3: and we.

680
00:30:32,164 --> 00:30:35,484
Speaker 1: Grate it over the top. I love white chocolate, do you?

681
00:30:35,724 --> 00:30:36,324
Speaker 4: I'm not a fan.

682
00:30:38,124 --> 00:30:40,204
Speaker 3: Is there much that you like in life?

683
00:30:40,484 --> 00:30:45,564
Speaker 1: Okay? We great this over that? So this instead of

684
00:30:45,764 --> 00:30:48,204
Speaker 1: I guess the analogy would be if you're making a pasta,

685
00:30:48,484 --> 00:30:52,524
Speaker 1: this would be the parmesan. Yes, okay, so a bit

686
00:30:52,564 --> 00:30:54,364
Speaker 1: more there. What do you think is that enough?

687
00:30:54,444 --> 00:30:56,924
Speaker 4: Yeah? I think that's fine. There's too much white in there, man.

688
00:30:57,164 --> 00:30:58,604
Speaker 3: And now where's the bowls?

689
00:30:58,804 --> 00:30:58,964
Speaker 4: Here?

690
00:30:58,964 --> 00:31:02,524
Speaker 1: They are? Yep, I'm going to serve it into these bowls?

691
00:31:02,644 --> 00:31:05,244
Speaker 4: Okay, Well, you know, are you going to play that up?

692
00:31:05,244 --> 00:31:05,884
Speaker 4: And we'll eat it.

693
00:31:05,804 --> 00:31:12,564
Speaker 2: Next that podcast TikTok Tucker. We make food from TikToker

694
00:31:12,604 --> 00:31:13,724
Speaker 2: and eat it today.

695
00:31:13,884 --> 00:31:14,684
Speaker 4: What's this called love?

696
00:31:14,804 --> 00:31:17,764
Speaker 1: This is called penne tel. I'm just a bit more grating, right,

697
00:31:17,924 --> 00:31:20,124
Speaker 1: So we've got penne Let me know, when you see

698
00:31:20,204 --> 00:31:22,004
Speaker 1: red that means I've grated too far.

699
00:31:23,404 --> 00:31:27,244
Speaker 2: You've got penne ntella and as a garnish, Amanda is

700
00:31:27,284 --> 00:31:28,684
Speaker 2: just putting on some white chocolate.

701
00:31:29,844 --> 00:31:30,844
Speaker 3: Ryan, you've got yours.

702
00:31:31,364 --> 00:31:33,564
Speaker 1: When I say you've got to also have the pasta

703
00:31:33,604 --> 00:31:37,364
Speaker 1: with it, got a bit of everything and go.

704
00:31:41,084 --> 00:31:42,004
Speaker 16: Not for me?

705
00:31:42,444 --> 00:31:46,164
Speaker 4: Ah, you know, I don't know why you bother.

706
00:31:48,124 --> 00:31:52,004
Speaker 1: The pasta isn't cooked, for one, But even if it did,

707
00:31:52,284 --> 00:31:55,404
Speaker 1: even though it was, I don't think you need that texture.

708
00:31:55,444 --> 00:32:00,404
Speaker 1: What do you think, Ryan Bland? How can ntella not

709
00:32:00,484 --> 00:32:01,524
Speaker 1: be natellerish?

710
00:32:03,564 --> 00:32:03,764
Speaker 11: See?

711
00:32:03,804 --> 00:32:06,164
Speaker 1: Is that because you're expecting pasta to have a more

712
00:32:06,204 --> 00:32:07,204
Speaker 1: flavorful sauce.

713
00:32:08,204 --> 00:32:09,684
Speaker 4: I think a bit more planning.

714
00:32:09,924 --> 00:32:12,324
Speaker 2: Perhaps put your boiling water on, gook your pasture a

715
00:32:12,364 --> 00:32:12,844
Speaker 2: bit longer.

716
00:32:16,924 --> 00:32:20,244
Speaker 1: I would suggest, even if the pasta was cooked, it's

717
00:32:20,244 --> 00:32:22,484
Speaker 1: a waste of all the ingredients to put them together.

718
00:32:22,564 --> 00:32:23,324
Speaker 3: Do you agree with that?

719
00:32:24,204 --> 00:32:26,524
Speaker 1: It's a perfect TikTok Tucker. It could have been brilliant,

720
00:32:26,524 --> 00:32:27,364
Speaker 1: but it just wasn't.

721
00:32:27,884 --> 00:32:32,524
Speaker 4: Story of TikTok Tucker's life absolutely started.

722
00:32:33,084 --> 00:32:35,844
Speaker 15: What you do with that, you do it a fancy

723
00:32:35,884 --> 00:32:40,604
Speaker 15: The moldy, bacteria infested slavs met fall.

724
00:32:40,524 --> 00:32:40,844
Speaker 14: Off the.

725
00:32:42,924 --> 00:32:46,564
Speaker 4: Rest to give you clean all this up.

726
00:32:46,604 --> 00:32:49,924
Speaker 2: Because Priscilla Presley is joining us next Jasis.

727
00:32:50,324 --> 00:32:52,284
Speaker 4: Our next guest needs no introduction.

728
00:32:52,884 --> 00:32:58,324
Speaker 2: Priscilla Presley has entered the building. Hello there, this is Jonesy,

729
00:32:58,644 --> 00:32:59,924
Speaker 2: and over there is Amanda.

730
00:33:00,084 --> 00:33:01,364
Speaker 3: Well, hello, and good morning.

731
00:33:01,924 --> 00:33:04,084
Speaker 7: I am, and a good morning to you. We're in

732
00:33:04,164 --> 00:33:05,164
Speaker 7: the afternoon right now.

733
00:33:05,524 --> 00:33:08,244
Speaker 2: I have a first name that's actually Brendan, but many

734
00:33:08,324 --> 00:33:11,164
Speaker 2: years of commercial radio have worn it away, so I'm

735
00:33:11,244 --> 00:33:12,204
Speaker 2: just known as Jones.

736
00:33:14,804 --> 00:33:15,684
Speaker 7: Oh my goodness.

737
00:33:15,964 --> 00:33:17,604
Speaker 10: Well that's okay. Jones is different.

738
00:33:18,284 --> 00:33:19,244
Speaker 4: Jonesy is different.

739
00:33:19,804 --> 00:33:21,044
Speaker 3: It's lovely to talk to you.

740
00:33:21,444 --> 00:33:26,284
Speaker 1: I devoured an early advance copy of your memoir softly

741
00:33:26,364 --> 00:33:28,484
Speaker 1: as I leave you, and I thought I knew most

742
00:33:28,564 --> 00:33:31,164
Speaker 1: of your story, but it was an extraordinary read, and

743
00:33:31,204 --> 00:33:33,164
Speaker 1: there was so much I didn't know.

744
00:33:34,804 --> 00:33:37,004
Speaker 3: Oh, thank you, it was an amazing read.

745
00:33:37,724 --> 00:33:37,764
Speaker 16: You.

746
00:33:37,884 --> 00:33:41,044
Speaker 1: Obviously, we all know that you married Elvis early and

747
00:33:41,084 --> 00:33:44,284
Speaker 1: you were swept into his world. Did it ever feel

748
00:33:44,364 --> 00:33:46,284
Speaker 1: like it was just the two of you? You were

749
00:33:46,364 --> 00:33:48,604
Speaker 1: always surrounded by so many people. Did it ever feel

750
00:33:48,684 --> 00:33:50,244
Speaker 1: like a normal marriage.

751
00:33:51,124 --> 00:33:55,084
Speaker 7: No, That's why I cherished. That's why I cherished the

752
00:33:55,204 --> 00:33:58,444
Speaker 7: evenings after we would go to the theater. I was

753
00:33:58,644 --> 00:34:01,324
Speaker 7: always rent the theater every night, and he'd get choices

754
00:34:01,364 --> 00:34:03,964
Speaker 7: of what movies he wanted to watch, and we usually

755
00:34:04,044 --> 00:34:06,804
Speaker 7: get back home around three o'clock, four o'clock in the morning,

756
00:34:07,244 --> 00:34:09,163
Speaker 7: and that was the time that we would shit talk

757
00:34:09,203 --> 00:34:11,964
Speaker 7: about the movie, what we thought, talk about the actors,

758
00:34:12,524 --> 00:34:15,283
Speaker 7: and just sit down without all the guys around, and

759
00:34:15,604 --> 00:34:19,044
Speaker 7: just you know, just kind of you know, get into

760
00:34:19,284 --> 00:34:22,044
Speaker 7: each other's world. And that's what I look.

761
00:34:21,964 --> 00:34:24,203
Speaker 2: Forward to, because it would have been hot to get

762
00:34:24,244 --> 00:34:27,163
Speaker 2: a time with him because the Memphis Mafia and the

763
00:34:27,204 --> 00:34:28,243
Speaker 2: boys were always there.

764
00:34:29,324 --> 00:34:33,004
Speaker 7: They were they were, But I honestly got used to it.

765
00:34:34,084 --> 00:34:34,244
Speaker 16: You know.

766
00:34:34,684 --> 00:34:36,884
Speaker 7: The times that I had alone with him was when

767
00:34:36,884 --> 00:34:39,524
Speaker 7: we went into the theater, because he would rend the

768
00:34:39,764 --> 00:34:44,524
Speaker 7: a Memphis theater every pretty much every night. We'd get

769
00:34:44,524 --> 00:34:47,163
Speaker 7: all the first you know, look at all the new

770
00:34:47,644 --> 00:34:51,564
Speaker 7: new movies that were coming in, and we would pretty much,

771
00:34:51,644 --> 00:34:54,884
Speaker 7: you know, sometimes we'd see three in a night. We'd

772
00:34:54,924 --> 00:34:59,643
Speaker 7: start about ten o'clock, ten thirty after Johnny Carson's show,

773
00:34:59,724 --> 00:35:03,244
Speaker 7: and then we would head on to the theater and

774
00:35:03,364 --> 00:35:06,283
Speaker 7: come home sometimes five o'clock, five thirty in the morning.

775
00:35:07,084 --> 00:35:07,643
Speaker 3: Nocturnal.

776
00:35:07,804 --> 00:35:11,284
Speaker 4: Yeah, you must have good bladder. Your bladder must have

777
00:35:11,404 --> 00:35:15,044
Speaker 4: had a young blad. Wait there was a movie theater.

778
00:35:15,284 --> 00:35:15,484
Speaker 16: Yeah.

779
00:35:16,004 --> 00:35:21,123
Speaker 4: Still, they do have facilities, facilities, but I can't watch.

780
00:35:21,324 --> 00:35:23,004
Speaker 4: I get a third of the way in The Fast

781
00:35:23,044 --> 00:35:25,163
Speaker 4: and the Furious. I'm off to the loo.

782
00:35:26,764 --> 00:35:28,163
Speaker 3: Yeah, she didn't cover that in the book.

783
00:35:33,924 --> 00:35:35,364
Speaker 7: I would never think of such a thing.

784
00:35:36,444 --> 00:35:36,964
Speaker 10: Pretty good.

785
00:35:37,284 --> 00:35:40,484
Speaker 1: There were so many beats to your life and your

786
00:35:40,564 --> 00:35:45,244
Speaker 1: family tree that I'd forgotten about, and obviously Lisa's marriage

787
00:35:45,284 --> 00:35:47,364
Speaker 1: to Michael Jackson. But it was such an insight as

788
00:35:47,404 --> 00:35:51,044
Speaker 1: to how your feelings about him. You questioned his motives

789
00:35:51,164 --> 00:35:52,004
Speaker 1: right from the beginning.

790
00:35:53,724 --> 00:35:54,123
Speaker 8: I did.

791
00:35:54,604 --> 00:35:58,324
Speaker 7: I did. I knew enough of you know about him?

792
00:35:58,404 --> 00:36:01,164
Speaker 7: About Michael, you loved, you know, people in the business,

793
00:36:01,364 --> 00:36:04,764
Speaker 7: you love actors, you love people who were famous. And

794
00:36:05,724 --> 00:36:09,484
Speaker 7: I was just really concerned about because my daughter famous

795
00:36:09,524 --> 00:36:11,964
Speaker 7: and with the daughter of what, you know, the most

796
00:36:12,004 --> 00:36:14,964
Speaker 7: famous man really, you know, in rock and rolls. So

797
00:36:15,364 --> 00:36:18,724
Speaker 7: I was very concerned about about my daughter and his

798
00:36:20,123 --> 00:36:23,564
Speaker 7: you know, and his situation was hers and she knew it.

799
00:36:23,764 --> 00:36:25,804
Speaker 7: She knew I I you know, I wasn't for it,

800
00:36:26,284 --> 00:36:28,123
Speaker 7: but you know, I had to back off.

801
00:36:28,444 --> 00:36:32,124
Speaker 3: You only shared two sentences with him in their entire marriage,

802
00:36:32,164 --> 00:36:32,804
Speaker 3: pretty much.

803
00:36:34,123 --> 00:36:34,643
Speaker 9: Pretty much.

804
00:36:37,204 --> 00:36:38,803
Speaker 2: And that's the thing because a lot of people said

805
00:36:38,884 --> 00:36:42,324
Speaker 2: Michael used to adapt that sort of girlish little high voice,

806
00:36:42,404 --> 00:36:45,964
Speaker 2: but in reality he speake like he sounded like chef

807
00:36:46,123 --> 00:36:47,243
Speaker 2: from Seth Park.

808
00:36:47,364 --> 00:36:49,244
Speaker 4: You know, what are you talking about that? Can you

809
00:36:49,644 --> 00:36:50,604
Speaker 4: clarify that for us?

810
00:36:50,684 --> 00:36:53,204
Speaker 7: Priscilla, Well, you always had that high voice with me

811
00:36:53,324 --> 00:36:57,044
Speaker 7: as well, you know, yes, I mean he didn't let

812
00:36:57,084 --> 00:36:59,723
Speaker 7: go of that. And I heard and I did hear

813
00:36:59,844 --> 00:37:02,803
Speaker 7: a little bit when we were at at his home

814
00:37:03,244 --> 00:37:05,804
Speaker 7: when he was talking to the guy who took care

815
00:37:05,844 --> 00:37:08,404
Speaker 7: of him and you know, get errands for him, and

816
00:37:08,484 --> 00:37:11,324
Speaker 7: he did another voice. So it was I don't know

817
00:37:11,604 --> 00:37:13,684
Speaker 7: where that came from. I think he never wanted to

818
00:37:13,804 --> 00:37:17,404
Speaker 7: lose that little boy in him and and you know,

819
00:37:17,644 --> 00:37:20,484
Speaker 7: and I wanted to keep that. So it was interesting.

820
00:37:20,844 --> 00:37:23,363
Speaker 1: Yeah, we luck we'll see how that sort of ended

821
00:37:23,444 --> 00:37:28,804
Speaker 1: up there. It's heartbreaking to read about you losing losing Lisa.

822
00:37:29,244 --> 00:37:31,123
Speaker 1: But you say in the book, from the moment that

823
00:37:31,204 --> 00:37:34,004
Speaker 1: she lost her son Ben, there was a terrible inevitability

824
00:37:34,444 --> 00:37:35,643
Speaker 1: to her not being able to hold on.

825
00:37:35,804 --> 00:37:40,843
Speaker 7: Yeah, that's true, absolutely, And that was my biggest fear

826
00:37:41,164 --> 00:37:44,044
Speaker 7: because I knew that she she adored him so much.

827
00:37:44,204 --> 00:37:46,404
Speaker 7: I mean, she was she was the love of her life.

828
00:37:47,123 --> 00:37:51,284
Speaker 7: And when he passed a bit of her past, you know,

829
00:37:51,804 --> 00:37:56,604
Speaker 7: every day, and she just didn't she wanted she didn't

830
00:37:56,604 --> 00:37:58,924
Speaker 7: want to be she didn't want to be here any longer.

831
00:37:59,204 --> 00:38:02,764
Speaker 7: And that was my biggest fear, knowing that she had

832
00:38:02,804 --> 00:38:06,643
Speaker 7: sunk so low and missed him so much. She knew

833
00:38:06,684 --> 00:38:11,404
Speaker 7: that she had her twins, she just couldn't take a

834
00:38:11,484 --> 00:38:12,044
Speaker 7: loss of them.

835
00:38:12,844 --> 00:38:16,924
Speaker 2: We spoke to Lessa Marie a few years ago, and

836
00:38:17,324 --> 00:38:21,044
Speaker 2: she was so funny, funny, and we really enjoyed talking

837
00:38:21,524 --> 00:38:24,644
Speaker 2: to consolation that I hope.

838
00:38:24,444 --> 00:38:26,804
Speaker 1: That means yes, as you say that she she was

839
00:38:26,924 --> 00:38:29,324
Speaker 1: funny and feisty in this beautiful, deep voice.

840
00:38:29,364 --> 00:38:30,964
Speaker 3: We we just loved her.

841
00:38:31,764 --> 00:38:34,884
Speaker 1: You say at the end of the book that people

842
00:38:35,644 --> 00:38:38,044
Speaker 1: think that the Presleys are like the Kennedys, and that

843
00:38:38,084 --> 00:38:42,444
Speaker 1: they've had to bury their children. The overview of your story,

844
00:38:42,524 --> 00:38:45,484
Speaker 1: does it feel tragic? Does your life feel tragic.

845
00:38:46,644 --> 00:38:50,964
Speaker 7: At times? At times? I mean, don't get me wrong,

846
00:38:51,004 --> 00:38:54,004
Speaker 7: I've had great times, but you know, the ending is

847
00:38:54,084 --> 00:38:56,764
Speaker 7: not so great, and I have a lot of memories.

848
00:38:56,844 --> 00:39:00,644
Speaker 7: Thank god, I do have my days. There's no doubt.

849
00:39:01,844 --> 00:39:06,924
Speaker 7: I don't know how how that stops, because I you know,

850
00:39:07,204 --> 00:39:09,884
Speaker 7: I'm reminded pretty much every day I go and hear

851
00:39:09,964 --> 00:39:13,163
Speaker 7: the music, and hear Elvis is music, and meaning if

852
00:39:13,204 --> 00:39:15,364
Speaker 7: I go somewhere or people think it's funny, you know,

853
00:39:15,484 --> 00:39:19,844
Speaker 7: to put the music on, you know, they hear his voice,

854
00:39:19,924 --> 00:39:22,244
Speaker 7: and you know, it just brings me right back to,

855
00:39:23,884 --> 00:39:26,924
Speaker 7: you know, my life back then. But I am coping.

856
00:39:27,284 --> 00:39:28,164
Speaker 7: I have to cope.

857
00:39:28,364 --> 00:39:28,683
Speaker 10: I am.

858
00:39:29,364 --> 00:39:32,524
Speaker 7: I had a son and I have to think about

859
00:39:32,604 --> 00:39:36,324
Speaker 7: him and make sure he's okay. And that's pretty much

860
00:39:36,364 --> 00:39:37,524
Speaker 7: where my life is right now.

861
00:39:37,804 --> 00:39:40,004
Speaker 1: You've said that one of the most common questions you

862
00:39:40,084 --> 00:39:41,964
Speaker 1: get asked, and I'm going to ask it now too,

863
00:39:42,204 --> 00:39:43,484
Speaker 1: is was Elvis a good pisa?

864
00:39:52,404 --> 00:39:55,843
Speaker 7: Okay, I'm going to give you the answer, No doubt

865
00:39:56,164 --> 00:39:56,564
Speaker 7: he was.

866
00:39:57,924 --> 00:39:59,643
Speaker 3: I can take that at least question.

867
00:39:59,884 --> 00:40:02,044
Speaker 2: I thought the question you would have been much das

868
00:40:02,244 --> 00:40:04,203
Speaker 2: was when was the last time you boiled the rust?

869
00:40:06,524 --> 00:40:07,524
Speaker 9: Let's just put it this way.

870
00:40:07,524 --> 00:40:09,284
Speaker 7: I never tried again and never with us.

871
00:40:09,484 --> 00:40:15,924
Speaker 2: Well, Priscilla, we could talk to you forever. It's so

872
00:40:16,164 --> 00:40:19,084
Speaker 2: fantastic to actually talk to you at last. And you

873
00:40:19,164 --> 00:40:22,004
Speaker 2: can have an audience with Priscilla Presley. That's Tuesday, the

874
00:40:22,084 --> 00:40:24,564
Speaker 2: twenty fifth of November at the State Theater. Tickets are

875
00:40:24,604 --> 00:40:28,004
Speaker 2: available via fane dot com dot au and the memoir

876
00:40:28,524 --> 00:40:30,604
Speaker 2: comes out on September twenty three.

877
00:40:30,724 --> 00:40:31,724
Speaker 3: It's brilliant. I've read it.

878
00:40:31,764 --> 00:40:34,444
Speaker 2: It's fa Amanda's got the PDF copy of it. No,

879
00:40:34,644 --> 00:40:38,244
Speaker 2: she's got a handprints all over it. I want the

880
00:40:38,364 --> 00:40:39,564
Speaker 2: I want the hard bound thing.

881
00:40:42,564 --> 00:40:45,044
Speaker 7: Well, thank you. I hope you enjoyed it.

882
00:40:45,484 --> 00:40:47,244
Speaker 3: I did very much. It was lovely to talk to you.

883
00:40:47,284 --> 00:40:48,683
Speaker 3: We'll see you when you get to Australia.

884
00:40:49,004 --> 00:40:50,123
Speaker 7: I'm looking forward to it.

885
00:40:50,324 --> 00:40:52,404
Speaker 3: Thank you, Thanksilla, Bye bye.

886
00:40:52,684 --> 00:40:54,604
Speaker 4: Thanks Sam.

887
00:40:55,324 --> 00:41:04,203
Speaker 3: Podcast right now and Amanda's.

888
00:41:05,164 --> 00:41:08,203
Speaker 4: Hunger, Burn and Love. Ten questions sixty seconds on the clock.

889
00:41:08,244 --> 00:41:09,884
Speaker 2: You can pass it. You don't know an answer will

890
00:41:09,884 --> 00:41:12,123
Speaker 2: come back to that question of time permits. Get all

891
00:41:12,123 --> 00:41:14,123
Speaker 2: the questions right. You win one thousand dollars, which is.

892
00:41:14,204 --> 00:41:15,123
Speaker 4: Great, which is great.

893
00:41:15,164 --> 00:41:16,364
Speaker 3: That's what Corey did yesterday.

894
00:41:16,404 --> 00:41:19,123
Speaker 2: Cory won the one thousand dollars, and then we said,

895
00:41:19,164 --> 00:41:22,643
Speaker 2: do you want to ditch that double your money for

896
00:41:22,764 --> 00:41:23,723
Speaker 2: one bonus question?

897
00:41:24,404 --> 00:41:27,844
Speaker 1: Double your money? Double or nothing? He was unsure, and

898
00:41:28,044 --> 00:41:30,804
Speaker 1: you said, come on, I put on the tempting pants.

899
00:41:30,844 --> 00:41:32,164
Speaker 4: I can't help that they're tempting.

900
00:41:32,284 --> 00:41:33,924
Speaker 3: It went like this, in what.

901
00:41:34,123 --> 00:41:36,724
Speaker 1: Year did Queen Elizabeth the id pass away?

902
00:41:40,123 --> 00:41:41,084
Speaker 3: Two thousand?

903
00:41:41,484 --> 00:41:43,444
Speaker 1: Quend twenty three?

904
00:41:46,164 --> 00:41:50,884
Speaker 4: Oh no, Corey, I thought he was going to do it.

905
00:41:50,964 --> 00:41:54,604
Speaker 1: It's twenty twenty two, twenty two. And that was the

906
00:41:54,764 --> 00:41:57,763
Speaker 1: bonus question. That's how it goes. It's double or nothing.

907
00:41:58,004 --> 00:42:00,843
Speaker 4: We want to give this money away, Patricias and Mary's.

908
00:42:00,644 --> 00:42:02,804
Speaker 3: Hillo, Patricia money.

909
00:42:04,484 --> 00:42:09,444
Speaker 4: We want you to win, won't you more?

910
00:42:09,564 --> 00:42:09,844
Speaker 9: Bech?

911
00:42:10,004 --> 00:42:14,044
Speaker 1: Okay, let's see how we go. We've got ten questions.

912
00:42:14,324 --> 00:42:16,964
Speaker 1: We've got sixty seconds. If you're not sure, you say

913
00:42:17,004 --> 00:42:18,683
Speaker 1: it past because we might have time to come back.

914
00:42:18,724 --> 00:42:19,123
Speaker 1: You're okay?

915
00:42:19,964 --> 00:42:20,324
Speaker 4: All right?

916
00:42:20,564 --> 00:42:23,084
Speaker 3: Eye to the front, Patricia, because here we go. He comes.

917
00:42:23,204 --> 00:42:25,524
Speaker 3: Question number one? What are sanders?

918
00:42:25,564 --> 00:42:26,163
Speaker 1: It will help us?

919
00:42:26,244 --> 00:42:43,284
Speaker 3: Called sorry? No, oh Elves, What did you say? Oh Patricia?

920
00:42:44,964 --> 00:42:45,484
Speaker 1: Patricia?

921
00:42:45,564 --> 00:42:48,284
Speaker 3: We get very far at all with you today. I'm sorry.

922
00:42:50,964 --> 00:42:54,804
Speaker 1: I was listening to you every morning, very sweet Patricia,

923
00:42:54,804 --> 00:42:56,804
Speaker 1: Will you come with us to our drive show next year?

924
00:42:58,404 --> 00:43:00,684
Speaker 3: Thank you, Amanda and Jones Real.

925
00:43:00,564 --> 00:43:01,444
Speaker 1: Well, thank you for playing.

926
00:43:01,484 --> 00:43:06,044
Speaker 3: We'll play again tomorrow. Thank you boy, Amanda Patricia.

927
00:43:08,204 --> 00:43:10,684
Speaker 1: Well, yesterday it was International Dog Day. I love my

928
00:43:10,804 --> 00:43:13,444
Speaker 1: dog desperately, as you know, little mini dog, Little mini dog.

929
00:43:13,924 --> 00:43:16,163
Speaker 1: I saw a story last week because Minnie is a

930
00:43:16,724 --> 00:43:18,404
Speaker 1: sheep dog, she's a Border Collie.

931
00:43:18,924 --> 00:43:20,644
Speaker 3: I saw an interesting story on the ABC.

932
00:43:20,844 --> 00:43:23,724
Speaker 1: They're talking about how much money sheep dogs and cattle

933
00:43:23,764 --> 00:43:28,204
Speaker 1: dogs save the Australian economy. It is quite extraordinary. So

934
00:43:28,324 --> 00:43:30,284
Speaker 1: a sheep dog or a cattle dog may cost you

935
00:43:30,684 --> 00:43:33,004
Speaker 1: not minded, but if it's a full working dog on

936
00:43:33,123 --> 00:43:35,964
Speaker 1: a farm, fully bred for its job, can cost you

937
00:43:36,004 --> 00:43:40,163
Speaker 1: about thirteen thousand dollars. But A and Z research said

938
00:43:40,684 --> 00:43:43,404
Speaker 1: that there's a significant return on that investment for farmers

939
00:43:43,484 --> 00:43:46,643
Speaker 1: and for the entire economy. Sheep dogs have a three

940
00:43:47,004 --> 00:43:51,084
Speaker 1: billion dollar impact on the Australian economy. And that's everything

941
00:43:51,123 --> 00:43:54,844
Speaker 1: from savings in labor to benefits for a country town,

942
00:43:54,924 --> 00:43:57,044
Speaker 1: to cheaper meat and wool prices for all of US

943
00:43:57,844 --> 00:44:00,524
Speaker 1: pet food, veterinary services all across the board. They are

944
00:44:00,604 --> 00:44:01,844
Speaker 1: a huge investment.

945
00:44:02,004 --> 00:44:03,084
Speaker 4: Give it up. For the sheep dog.

946
00:44:03,123 --> 00:44:05,683
Speaker 1: And as I was watching that story, I looked over

947
00:44:05,764 --> 00:44:08,804
Speaker 1: at my dog lying on the couch on her back,

948
00:44:09,524 --> 00:44:11,683
Speaker 1: all full legs in the air with a tongue hanging out,

949
00:44:12,284 --> 00:44:16,404
Speaker 1: and I thought, yeah, right, we're living the dream. I

950
00:44:16,444 --> 00:44:18,764
Speaker 1: saw a story yesterday and this was tied of an

951
00:44:18,764 --> 00:44:21,804
Speaker 1: International Dog Day. This woman says she's got a rescue

952
00:44:21,844 --> 00:44:25,044
Speaker 1: dog and she said he's become a very dramatic jerk

953
00:44:25,444 --> 00:44:26,204
Speaker 1: was her description.

954
00:44:27,164 --> 00:44:28,243
Speaker 3: And you know, here's what she said.

955
00:44:28,284 --> 00:44:31,724
Speaker 1: He's so, he's our giant hypochondriac.

956
00:44:31,044 --> 00:44:34,884
Speaker 12: Is very dramatic about the slightest pain. He had one

957
00:44:34,964 --> 00:44:38,044
Speaker 12: incident where he got the tiniest little cut on his

958
00:44:38,244 --> 00:44:40,444
Speaker 12: paw and was so upset.

959
00:44:40,524 --> 00:44:41,284
Speaker 1: We thought that he was.

960
00:44:41,404 --> 00:44:44,044
Speaker 12: Really badly injured and rushed him to the emergency room

961
00:44:44,404 --> 00:44:46,844
Speaker 12: and the vet first couldn't find the cut, and I

962
00:44:46,924 --> 00:44:48,964
Speaker 12: asked her to check again, and she found what she

963
00:44:49,044 --> 00:44:52,524
Speaker 12: described as a paper cut. More recently, was walking on

964
00:44:52,604 --> 00:44:54,924
Speaker 12: the Greenway with a friend and he just stopped and

965
00:44:55,084 --> 00:44:57,803
Speaker 12: was shaking and looking at his paw and freaking out.

966
00:44:58,044 --> 00:44:59,444
Speaker 12: And I tried to give a little bit of time

967
00:44:59,484 --> 00:45:02,163
Speaker 12: because I now realized that he's dramatic, but it just

968
00:45:02,284 --> 00:45:04,324
Speaker 12: wasn't stopping, so I took him to the emergency room

969
00:45:04,444 --> 00:45:06,964
Speaker 12: and the vet found what she described as a mosquito bite.

970
00:45:09,084 --> 00:45:11,804
Speaker 3: So again he got a cone and got some peint.

971
00:45:11,644 --> 00:45:12,123
Speaker 4: Meds for that.

972
00:45:12,604 --> 00:45:14,243
Speaker 12: He was found as a straight I don't know how

973
00:45:14,324 --> 00:45:15,324
Speaker 12: he made it on the streets.

974
00:45:16,084 --> 00:45:16,684
Speaker 4: I love it.

975
00:45:18,084 --> 00:45:19,964
Speaker 3: Once again, he got a cone and some meds.

976
00:45:20,844 --> 00:45:22,283
Speaker 1: I want that dog's life.

977
00:45:23,684 --> 00:45:24,884
Speaker 4: The travel drama would be for this.

978
00:45:25,084 --> 00:45:25,724
Speaker 1: What do we call it?

979
00:45:25,964 --> 00:45:27,683
Speaker 4: My dog doesn't deserve a day.

980
00:45:31,644 --> 00:45:32,724
Speaker 3: I don't know how he made it.

981
00:45:32,764 --> 00:45:33,284
Speaker 1: On the streets.

982
00:45:33,804 --> 00:45:37,524
Speaker 3: International Dog Day. Not every dog deserves a day. Dob

983
00:45:37,684 --> 00:45:39,964
Speaker 3: and your dog, your jerk of a.

984
00:45:40,044 --> 00:45:45,484
Speaker 4: Dog, we'd love to hear from you podcast.

985
00:45:45,684 --> 00:45:48,804
Speaker 1: Yesterday it was International Dog Day and we all like

986
00:45:48,884 --> 00:45:51,123
Speaker 1: to celebrate and love our dogs. But some dogs can

987
00:45:51,164 --> 00:45:53,564
Speaker 1: be jerks. I was looking at this rescue dog called

988
00:45:54,004 --> 00:45:57,764
Speaker 1: Ja Queenie Queen and its owners love it. But it's

989
00:45:57,804 --> 00:45:59,964
Speaker 1: got a half its bottom jaw missing, so it's got

990
00:46:00,004 --> 00:46:03,044
Speaker 1: this incredible overbite. It looks like mister Burns Monty Burns,

991
00:46:03,444 --> 00:46:05,564
Speaker 1: but it's also a huge drama queen.

992
00:46:05,964 --> 00:46:07,524
Speaker 3: And it gets a small.

993
00:46:07,764 --> 00:46:09,484
Speaker 1: Mosquito but on its foot and it wants to goo

994
00:46:09,564 --> 00:46:11,204
Speaker 1: the vet, so he gets the cone and the meds.

995
00:46:11,524 --> 00:46:16,444
Speaker 3: Who doesn't so that quite expensive. The tribal drama is beating.

996
00:46:16,244 --> 00:46:21,804
Speaker 12: For I don't know how you need it on the streets.

997
00:46:22,204 --> 00:46:23,884
Speaker 1: My dog doesn't deserve a day.

998
00:46:24,244 --> 00:46:25,123
Speaker 4: Sarah is with us.

999
00:46:25,204 --> 00:46:26,803
Speaker 3: Hello, Sarah, tell us about your dog.

1000
00:46:27,644 --> 00:46:30,484
Speaker 14: Hi, Jonesy and Amanda, I too have a working dog

1001
00:46:30,564 --> 00:46:31,044
Speaker 14: in the city.

1002
00:46:31,123 --> 00:46:31,924
Speaker 9: He's a cattle dog.

1003
00:46:32,644 --> 00:46:34,604
Speaker 14: He's the first one into the fray in the dog

1004
00:46:34,764 --> 00:46:39,283
Speaker 14: park and he's rounding up the poodle crosses. And without fail,

1005
00:46:39,404 --> 00:46:41,163
Speaker 14: he needs to wipe down when he gets home because

1006
00:46:41,164 --> 00:46:44,484
Speaker 14: he's so filthy. And yet first ligne of rain, a

1007
00:46:44,564 --> 00:46:48,724
Speaker 14: couple of drops, he will not go out back and

1008
00:46:49,244 --> 00:46:52,564
Speaker 14: walk on the wet grass and do a wee right,

1009
00:46:52,964 --> 00:46:57,484
Speaker 14: He slightly stands there, He stares at it until he's

1010
00:46:57,524 --> 00:47:01,364
Speaker 14: totally busting, and then will tiptoe down the yard, quickly

1011
00:47:01,444 --> 00:47:04,644
Speaker 14: do his business and race back inside. And without fail,

1012
00:47:04,964 --> 00:47:08,004
Speaker 14: he has trodden in something and traces it all through

1013
00:47:08,084 --> 00:47:09,764
Speaker 14: the house. Such a princess.

1014
00:47:09,924 --> 00:47:12,204
Speaker 1: Have you seen those that footage of the dogs that

1015
00:47:12,364 --> 00:47:15,164
Speaker 1: work in Scotland, in the Muda in England and rounding

1016
00:47:15,244 --> 00:47:18,404
Speaker 1: up cattle and ship and the worst conditions and they

1017
00:47:18,524 --> 00:47:19,324
Speaker 1: work through all that.

1018
00:47:19,764 --> 00:47:21,804
Speaker 3: And here's your dog and mine don't want to go

1019
00:47:21,844 --> 00:47:22,404
Speaker 3: out in the rain.

1020
00:47:23,284 --> 00:47:27,084
Speaker 14: Yeah, hilarious, Yeah, thank you, Sarah.

1021
00:47:27,484 --> 00:47:28,484
Speaker 4: Katrina's joined us.

1022
00:47:28,764 --> 00:47:30,684
Speaker 3: Katrina, is your dog a bit of a jerk?

1023
00:47:31,764 --> 00:47:34,004
Speaker 10: Yeah, just a little. He likes to eat his poo.

1024
00:47:34,404 --> 00:47:36,844
Speaker 3: Oh does they go against every instinct you'd.

1025
00:47:36,724 --> 00:47:40,044
Speaker 10: Think you'd think so. But he comes out of the bathroom.

1026
00:47:40,044 --> 00:47:41,924
Speaker 9: We see him looking his lips and we're like, oh,

1027
00:47:44,004 --> 00:47:45,204
Speaker 9: it's gone into the bathroom.

1028
00:47:45,244 --> 00:47:46,564
Speaker 4: And goes into the bathroom.

1029
00:47:47,844 --> 00:47:49,484
Speaker 10: You know, he goes in the bathroom as well.

1030
00:47:49,684 --> 00:47:52,324
Speaker 3: He's like, he does a pooh in the bathroom then

1031
00:47:52,364 --> 00:47:52,684
Speaker 3: eats it.

1032
00:47:53,564 --> 00:47:55,564
Speaker 9: Yeah, it's it's a economy.

1033
00:47:57,764 --> 00:47:58,964
Speaker 4: On one hand, he's civilized.

1034
00:47:59,123 --> 00:48:01,444
Speaker 3: On the other hand, the other had not very I

1035
00:48:01,524 --> 00:48:01,884
Speaker 3: don't know.

1036
00:48:01,964 --> 00:48:03,004
Speaker 4: Katrina, this dog is.

1037
00:48:03,204 --> 00:48:05,324
Speaker 3: He's a little bit possional. Bit mank That's.

1038
00:48:06,884 --> 00:48:07,643
Speaker 4: What's his name.

1039
00:48:08,924 --> 00:48:13,643
Speaker 10: His name is Sebastian named He's only san named after

1040
00:48:13,764 --> 00:48:15,844
Speaker 10: Johann Sebastian bar Oh.

1041
00:48:16,644 --> 00:48:17,763
Speaker 4: He was a regular poo eater.

1042
00:48:22,444 --> 00:48:23,964
Speaker 3: Terrible breath. I remember for.

1043
00:48:26,844 --> 00:48:33,764
Speaker 1: Jonesy and Amanda podcast, Jones and Amanda.

1044
00:48:33,524 --> 00:48:34,604
Speaker 4: What do you use your tongue for?

1045
00:48:35,123 --> 00:48:37,924
Speaker 3: None of your business? This job's food, got the job

1046
00:48:38,004 --> 00:48:38,644
Speaker 3: fair and square.

1047
00:48:38,724 --> 00:48:40,683
Speaker 4: Brendan dogs are funny things.

1048
00:48:41,044 --> 00:48:44,164
Speaker 1: Well, yes, it was International Dog Day. Everyone loves their dogs,

1049
00:48:44,204 --> 00:48:45,364
Speaker 1: but whisper.

1050
00:48:45,404 --> 00:48:46,884
Speaker 3: Dogs can be jerks too.

1051
00:48:47,284 --> 00:48:48,524
Speaker 4: Not every dog has its day.

1052
00:48:48,684 --> 00:48:50,764
Speaker 3: Not every dog deserves its day. Brendan.

1053
00:48:50,844 --> 00:48:55,124
Speaker 1: We talked about Jacquini, this dog that is so dramatic

1054
00:48:55,284 --> 00:48:58,004
Speaker 1: every time it goes and it had got a mosquito bien.

1055
00:48:58,084 --> 00:48:59,804
Speaker 1: It wanted to go to the vet to get a cone,

1056
00:48:59,844 --> 00:49:03,964
Speaker 1: and some meds overly dramatic, much so the tribal drum

1057
00:49:04,044 --> 00:49:06,203
Speaker 1: is beating for this. My dog doesn't deserve a day.

1058
00:49:08,084 --> 00:49:09,764
Speaker 12: I don't know how you needed on the streets.

1059
00:49:10,204 --> 00:49:11,764
Speaker 4: Yeah, Lisa's joined us.

1060
00:49:11,804 --> 00:49:16,084
Speaker 9: I'm Lisa Morning Jonesy and Amanda, tell us about your dog.

1061
00:49:17,123 --> 00:49:19,683
Speaker 9: So we had a stumpy tail cattle dog called Mac,

1062
00:49:19,684 --> 00:49:22,284
Speaker 9: another working dog, and he was a rescue and we

1063
00:49:22,324 --> 00:49:24,844
Speaker 9: got him when he was six. He you know, people

1064
00:49:24,884 --> 00:49:26,884
Speaker 9: always thought he was scary because you know, cattle dogs

1065
00:49:26,924 --> 00:49:31,044
Speaker 9: can be, you know, a bit savory sometimes, and he

1066
00:49:31,204 --> 00:49:34,004
Speaker 9: was the gentlest soul like, he was such a love bug.

1067
00:49:34,844 --> 00:49:37,364
Speaker 9: And one day my husband left him at home inside

1068
00:49:37,404 --> 00:49:41,884
Speaker 9: the house because you know sometimes on the Central Coast

1069
00:49:41,924 --> 00:49:44,324
Speaker 9: where I lived, that there can be some unsavory people around.

1070
00:49:45,284 --> 00:49:47,203
Speaker 9: So when my husband came home. He thought the house

1071
00:49:47,244 --> 00:49:49,644
Speaker 9: had been broken into. There were eggs everywhere in the kitchen,

1072
00:49:50,004 --> 00:49:52,203
Speaker 9: The sandwich press had been pulled off the bench. Food

1073
00:49:52,244 --> 00:49:55,804
Speaker 9: had been scattered through the kitchen. The freshly cooked brownies

1074
00:49:55,844 --> 00:49:58,123
Speaker 9: and sacchini slice that I had left out cooling down

1075
00:49:58,204 --> 00:50:00,324
Speaker 9: was smoothed all over the floor. And even the big

1076
00:50:00,404 --> 00:50:03,444
Speaker 9: box of kibble that had been delivered that day was

1077
00:50:03,684 --> 00:50:06,484
Speaker 9: up the hallway and had been moved. And he was

1078
00:50:06,564 --> 00:50:09,163
Speaker 9: really worried. But it turns out it wasn't burglar it all.

1079
00:50:09,444 --> 00:50:12,084
Speaker 9: It was back on a full blown food raid. And

1080
00:50:12,364 --> 00:50:15,604
Speaker 9: you want to know the cherry on the top. He'd

1081
00:50:15,724 --> 00:50:18,763
Speaker 9: even nibbled off the bits of cheese off the sandwich press.

1082
00:50:21,123 --> 00:50:22,004
Speaker 4: You're feeding that thing.

1083
00:50:22,204 --> 00:50:25,044
Speaker 1: Wow, he's got a little bit of a burnt on

1084
00:50:25,204 --> 00:50:27,004
Speaker 1: cheese from the sandwich.

1085
00:50:26,724 --> 00:50:28,444
Speaker 3: Press, he shorted.

1086
00:50:28,524 --> 00:50:30,724
Speaker 9: And I used to make his food, so she was

1087
00:50:30,764 --> 00:50:32,243
Speaker 9: a very well fed cattle dog.

1088
00:50:32,884 --> 00:50:35,803
Speaker 4: Wow. Although that's quite tasty. That left have a cheese

1089
00:50:35,844 --> 00:50:38,044
Speaker 4: and the sandwich. I've come home late night.

1090
00:50:39,044 --> 00:50:41,004
Speaker 1: But it's the box of kibble down the hall that

1091
00:50:41,164 --> 00:50:41,884
Speaker 1: was a giveaway.

1092
00:50:41,964 --> 00:50:42,323
Speaker 3: I think.

1093
00:50:42,564 --> 00:50:44,764
Speaker 4: Thank you, Lisa, thank you. Alex has joined us.

1094
00:50:44,764 --> 00:50:46,084
Speaker 3: Hey, Alex, tell us about your dog?

1095
00:50:47,444 --> 00:50:49,643
Speaker 5: Yeah, I took him for a walk and he ate

1096
00:50:49,724 --> 00:50:51,204
Speaker 5: someone on the walk and I didn't think much of

1097
00:50:51,284 --> 00:50:53,604
Speaker 5: it because they just devoured whatever they see, and I'm like,

1098
00:50:54,004 --> 00:50:56,964
Speaker 5: hopefully it's something too harmful. And the next couple of

1099
00:50:57,044 --> 00:50:59,244
Speaker 5: days you acting a bit strange. I'm like, oh, okay,

1100
00:50:59,404 --> 00:51:02,364
Speaker 5: maybe a trip to the might be worth it. And

1101
00:51:03,044 --> 00:51:05,044
Speaker 5: they did some blood works, came back it was a

1102
00:51:05,123 --> 00:51:11,004
Speaker 5: bit wrong, and I'm like, okay, great emergency, and had

1103
00:51:11,044 --> 00:51:15,324
Speaker 5: a surgery. Turned out he'd eating some sort of rubbery

1104
00:51:15,604 --> 00:51:19,924
Speaker 5: thing on the walk overnight, stayed there. End up being eleven.

1105
00:51:19,644 --> 00:51:23,164
Speaker 3: Grand ah, so it wasn't a poison. He just followed

1106
00:51:23,244 --> 00:51:23,724
Speaker 3: some rubber.

1107
00:51:24,724 --> 00:51:28,283
Speaker 5: Yeah, Like I was like by the time they pulled

1108
00:51:28,284 --> 00:51:30,123
Speaker 5: it out of him and decomposed a little bit, but

1109
00:51:30,684 --> 00:51:33,084
Speaker 5: sort of like a smiggle rubber type thing, and it

1110
00:51:33,204 --> 00:51:36,884
Speaker 5: just got wedged in his intestines, and he tried to

1111
00:51:36,964 --> 00:51:38,204
Speaker 5: do a few things to get it up, like he

1112
00:51:38,284 --> 00:51:41,124
Speaker 5: was going around the house eating avocados, which are poisonous

1113
00:51:41,123 --> 00:51:42,764
Speaker 5: to dogs, so he was trying to do the right

1114
00:51:42,844 --> 00:51:45,604
Speaker 5: thing and get it back up, but he just couldn't

1115
00:51:45,644 --> 00:51:48,244
Speaker 5: do it. And my missus said, oh, he's acting a

1116
00:51:48,284 --> 00:51:50,884
Speaker 5: bit strange, like he's hiding under the car, and dogs

1117
00:51:50,924 --> 00:51:53,243
Speaker 5: tend to do that when they think they're going to die,

1118
00:51:53,284 --> 00:51:57,164
Speaker 5: so they just sort of hide away. So we're like, okay, awesome.

1119
00:51:57,284 --> 00:51:59,244
Speaker 5: So yeah, that was a fun visits.

1120
00:51:59,324 --> 00:52:03,123
Speaker 2: Yeah, a change because in your mind there's just two

1121
00:52:03,204 --> 00:52:05,324
Speaker 2: schools of thought, isn't it that doctor says or the

1122
00:52:05,404 --> 00:52:07,163
Speaker 2: bit eleven grand and the other thing.

1123
00:52:07,364 --> 00:52:08,683
Speaker 4: Well, you've had a good innings.

1124
00:52:08,404 --> 00:52:11,844
Speaker 1: Mate, Brendan. That's why you don't have a pet. You

1125
00:52:11,924 --> 00:52:14,323
Speaker 1: know you've done well, that's why you don't have a pet.

1126
00:52:14,484 --> 00:52:21,604
Speaker 4: Glad, everything's okay now. Alex Hah Notion Podcast for People's Information.

1127
00:52:22,204 --> 00:52:25,884
Speaker 2: Brian, that's Ryan with a Bee who does Monday to Wednesday.

1128
00:52:25,964 --> 00:52:28,123
Speaker 2: Had a sick day today, first one he's ever had

1129
00:52:28,244 --> 00:52:30,404
Speaker 2: in this company. Did you know that he's worked for

1130
00:52:30,444 --> 00:52:33,123
Speaker 2: the company for twenty odd years has never had a

1131
00:52:33,204 --> 00:52:33,604
Speaker 2: sick day.

1132
00:52:34,004 --> 00:52:35,084
Speaker 3: I was very concerned.

1133
00:52:35,444 --> 00:52:37,683
Speaker 1: Actually, let me just did he just said it? Did

1134
00:52:37,764 --> 00:52:38,844
Speaker 1: he get the fruit basket?

1135
00:52:39,564 --> 00:52:39,763
Speaker 10: Yeah?

1136
00:52:39,884 --> 00:52:40,163
Speaker 1: He did.

1137
00:52:40,244 --> 00:52:41,964
Speaker 4: Actually said thanks for the fruit.

1138
00:52:41,764 --> 00:52:44,404
Speaker 1: Basket and the drinks, great drinks, and can you can

1139
00:52:44,444 --> 00:52:47,803
Speaker 1: he come to team drinks on Saturday at my place? Yeah?

1140
00:52:47,964 --> 00:52:50,163
Speaker 4: He said he Well that's going to be okay. That's

1141
00:52:50,164 --> 00:52:55,484
Speaker 4: the whole point, Am I coming to the drinks JM.

1142
00:52:55,524 --> 00:52:59,364
Speaker 3: I right, of course, I was going to invite.

1143
00:52:59,364 --> 00:53:00,163
Speaker 4: You're part of the team.

1144
00:53:00,284 --> 00:53:01,964
Speaker 3: There may be limited numbers GM.

1145
00:53:01,964 --> 00:53:04,564
Speaker 4: Why right, did he tell you he's moved out of home?

1146
00:53:04,684 --> 00:53:04,884
Speaker 3: Yeah?

1147
00:53:04,884 --> 00:53:05,244
Speaker 1: I knew that.

1148
00:53:05,444 --> 00:53:07,803
Speaker 2: And he's got a new place in a city crash pad.

1149
00:53:08,444 --> 00:53:11,044
Speaker 2: And they's got delivered a water washing machine.

1150
00:53:11,724 --> 00:53:11,924
Speaker 16: Yeah.

1151
00:53:12,004 --> 00:53:14,643
Speaker 8: We we installed it last night. And did you all

1152
00:53:14,684 --> 00:53:16,964
Speaker 8: have a go No, not yet, but we were like,

1153
00:53:17,364 --> 00:53:18,524
Speaker 8: it was leaking last night.

1154
00:53:19,084 --> 00:53:21,564
Speaker 2: Why do I feel it'd be like a bunch of

1155
00:53:21,644 --> 00:53:23,884
Speaker 2: primates have just discovered a camera, you know, it's in

1156
00:53:23,964 --> 00:53:26,363
Speaker 2: the jungle of Borneo, and they're all looking at the camera.

1157
00:53:26,764 --> 00:53:28,204
Speaker 4: So you're all standing around the washing.

1158
00:53:28,044 --> 00:53:29,764
Speaker 3: Machine, two male flatmates.

1159
00:53:29,884 --> 00:53:31,524
Speaker 4: Yeah, and it was leaking.

1160
00:53:31,684 --> 00:53:35,163
Speaker 2: So where's a leaking from the plug well at the

1161
00:53:35,204 --> 00:53:36,803
Speaker 2: back of the washing machine or in the wall?

1162
00:53:37,044 --> 00:53:37,524
Speaker 7: In the wall?

1163
00:53:37,804 --> 00:53:37,924
Speaker 9: Right?

1164
00:53:38,004 --> 00:53:41,444
Speaker 4: Okay, have you done the the connections up? Yeah, we're

1165
00:53:41,484 --> 00:53:43,724
Speaker 4: going to the tap it in. Yeah, you threw it on?

1166
00:53:44,324 --> 00:53:46,444
Speaker 4: Have you cross threaded it? I know that means well,

1167
00:53:46,564 --> 00:53:47,724
Speaker 4: when you you don't like.

1168
00:53:47,924 --> 00:53:49,723
Speaker 3: This is for another time. Let's not discuss that now.

1169
00:53:49,724 --> 00:53:50,924
Speaker 3: I'm very concerned about Brian.

1170
00:53:51,044 --> 00:53:52,843
Speaker 1: Let me focus on does Brian get all this simple.

1171
00:53:53,724 --> 00:53:55,444
Speaker 8: When I was sick, I remember I had a sick

1172
00:53:55,524 --> 00:53:58,524
Speaker 8: day here and you said you send me home Jones,

1173
00:53:58,564 --> 00:54:00,604
Speaker 8: he said, I look like that sick kid from.

1174
00:54:00,484 --> 00:54:02,564
Speaker 4: The Simpson wend once chuck it up.

1175
00:54:02,644 --> 00:54:04,724
Speaker 8: Yeah, and even at home I said to Dad Ones,

1176
00:54:04,764 --> 00:54:06,803
Speaker 8: I said, Dad, I'm sick. I can't go into work,

1177
00:54:07,044 --> 00:54:09,763
Speaker 8: and he goes, oh, se go, just sick of work.

1178
00:54:09,844 --> 00:54:15,884
Speaker 4: Man. We love having you here, we do.

1179
00:54:16,084 --> 00:54:18,004
Speaker 3: I just wasn't expecting to see you on a Wednesday.

1180
00:54:18,084 --> 00:54:24,524
Speaker 4: That's all. That's all, jem jam Na said, everybody.

1181
00:54:30,804 --> 00:54:33,203
Speaker 3: Twenty thousand bucks for our favorite goolie of the year.

1182
00:54:33,604 --> 00:54:36,884
Speaker 4: What have we got? Really gets my ghoulies.

1183
00:54:37,444 --> 00:54:40,004
Speaker 16: We've had a little bit of rain, there's a few potholes,

1184
00:54:40,284 --> 00:54:45,404
Speaker 16: and suddenly, oh no, look out, cars wheels are getting damaged.

1185
00:54:45,484 --> 00:54:47,964
Speaker 16: I've been riding motorbikes for years and we've had to

1186
00:54:48,004 --> 00:54:50,004
Speaker 16: put up with it and nothing gets done.

1187
00:54:51,084 --> 00:54:53,163
Speaker 4: Stiff shit to handle it. There you go.

1188
00:54:53,644 --> 00:54:56,604
Speaker 2: You're talking about language, brother, Come on, although a matter's

1189
00:54:56,604 --> 00:54:58,324
Speaker 2: so easier to avoid the yes.

1190
00:54:58,284 --> 00:55:00,244
Speaker 3: You said that they easier to avoid when you're.

1191
00:55:00,084 --> 00:55:03,444
Speaker 4: On my wife's carb four hundred and fifty bucks for

1192
00:55:03,524 --> 00:55:04,404
Speaker 4: the time, did.

1193
00:55:04,324 --> 00:55:04,844
Speaker 3: You say that to her?

1194
00:55:04,884 --> 00:55:05,164
Speaker 4: Stiff.

1195
00:55:05,204 --> 00:55:07,804
Speaker 1: Sh'd handle it, and she loved hearing that from you.

1196
00:55:08,924 --> 00:55:10,163
Speaker 3: Swell, he swore, not me.

1197
00:55:10,604 --> 00:55:12,804
Speaker 4: What else have we got? I want to know what

1198
00:55:12,964 --> 00:55:13,844
Speaker 4: gets my gulies?

1199
00:55:14,444 --> 00:55:18,724
Speaker 1: Ever since COVID toddless lingerie waitresses left the pub and

1200
00:55:18,804 --> 00:55:19,643
Speaker 1: they haven't came back.

1201
00:55:20,444 --> 00:55:22,404
Speaker 13: How are we supposed to finish a Friday afternoon?

1202
00:55:22,484 --> 00:55:22,604
Speaker 16: Now?

1203
00:55:23,044 --> 00:55:24,044
Speaker 11: That gets my gulies?

1204
00:55:24,084 --> 00:55:24,964
Speaker 3: Are they still around?

1205
00:55:25,044 --> 00:55:28,244
Speaker 4: Yeah, that's true, it's true. We should have an Appela

1206
00:55:28,284 --> 00:55:29,964
Speaker 4: Fon for this. This is a tradition.

1207
00:55:30,044 --> 00:55:32,644
Speaker 3: It's COVID got to do with it. You wearing your mask.

1208
00:55:32,804 --> 00:55:35,123
Speaker 17: My local they had titty and schnitty and now it's

1209
00:55:35,164 --> 00:55:37,804
Speaker 17: just schnitty. And there was one time there was no schnitty.

1210
00:55:37,804 --> 00:55:41,484
Speaker 17: It was just titty, which wasn't so bad. But I'm

1211
00:55:41,524 --> 00:55:45,404
Speaker 17: just saying, you know, we're got a problem with that now.

1212
00:55:46,164 --> 00:55:51,564
Speaker 3: So woke man, oh, woke women wearing clothes?

1213
00:55:52,044 --> 00:55:56,804
Speaker 4: Who? What's the matter with you? People? I blame ALBN easy?

1214
00:55:57,724 --> 00:55:58,964
Speaker 4: How would have a bad him with the good? If

1215
00:55:58,964 --> 00:55:59,444
Speaker 4: you dipped out?

1216
00:55:59,444 --> 00:56:03,163
Speaker 2: You gotta always contact this guy the iHeartRadio, Apple Nation,

1217
00:56:05,324 --> 00:56:06,163
Speaker 2: my favorite.

1218
00:56:05,924 --> 00:56:08,564
Speaker 1: Caller, email or Facebook friend windsor two nights day for

1219
00:56:08,604 --> 00:56:12,564
Speaker 1: two people at Moxie Hotel an effortless hotel, stay free

1220
00:56:12,604 --> 00:56:14,364
Speaker 1: airport shuttle and award winning design.

1221
00:56:14,524 --> 00:56:17,004
Speaker 2: Yesterday was International Dog Day. We all love our four

1222
00:56:17,123 --> 00:56:18,364
Speaker 2: legged furry children.

1223
00:56:18,644 --> 00:56:19,244
Speaker 4: I call them that.

1224
00:56:19,364 --> 00:56:22,364
Speaker 3: By the way, Well you don't because you'd like to

1225
00:56:22,444 --> 00:56:24,724
Speaker 3: run them over. I can't come on, how many have

1226
00:56:24,804 --> 00:56:25,924
Speaker 3: survived in your household?

1227
00:56:26,084 --> 00:56:30,204
Speaker 1: None? Anyway, Besides that, we all love our dogs, but

1228
00:56:30,804 --> 00:56:33,444
Speaker 1: not all dogs deserve an International Dog Day.

1229
00:56:33,484 --> 00:56:34,764
Speaker 3: The tribal drums beaten for.

1230
00:56:38,204 --> 00:56:39,884
Speaker 12: I don't know how you made it on the streets.

1231
00:56:40,324 --> 00:56:42,243
Speaker 3: My dog doesn't deserve a day.

1232
00:56:42,924 --> 00:56:46,004
Speaker 1: Here's Katrina from Bella Vista, who dabbed in her fairy friend.

1233
00:56:46,404 --> 00:56:48,524
Speaker 10: He likes to eat his pooh. He comes out of

1234
00:56:48,564 --> 00:56:49,044
Speaker 10: the bathroom.

1235
00:56:49,084 --> 00:56:51,004
Speaker 1: We see him looking his lips and we like, oh,

1236
00:56:51,964 --> 00:56:53,764
Speaker 1: he does pooh in the bathroom then eats it.

1237
00:56:53,964 --> 00:56:57,604
Speaker 10: Yes, what's his name is Sebastian name? That's what Yohan,

1238
00:56:57,724 --> 00:56:58,404
Speaker 10: Sebastian bar.

1239
00:56:59,123 --> 00:57:00,964
Speaker 3: I don't know if I clarify to about a dog,

1240
00:57:01,284 --> 00:57:05,564
Speaker 3: not fairy friend. Right at that's enough, he.

1241
00:57:07,204 --> 00:57:12,204
Speaker 4: Has arrived. Coming up next with Gold's bloatin k in

1242
00:57:12,324 --> 00:57:16,004
Speaker 4: a day. That's next. We'll be back from six to

1243
00:57:16,124 --> 00:57:17,684
Speaker 4: night for jam nation. I look forward to.

1244
00:57:17,884 --> 00:57:19,084
Speaker 1: We will see then good day.

1245
00:57:19,244 --> 00:57:21,323
Speaker 4: You well, thank God, that's over.

1246
00:57:21,444 --> 00:57:24,764
Speaker 5: Hood Bite, good bye, wipe.

1247
00:57:26,364 --> 00:57:26,684
Speaker 10: You're right.

1248
00:57:26,724 --> 00:57:30,044
Speaker 1: You Catch Jonesy and Amanda's podcast on the iHeartRadio app

1249
00:57:30,244 --> 00:57:43,724
Speaker 1: or wherever you get your podcasts. Catch up on what

1250
00:57:43,844 --> 00:57:46,164
Speaker 1: you've missed on the free iHeartRadio app