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Speaker 1: You're listening to Amma Mia podcast. Hello and welcome to

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Speaker 1: Mom and Mia out loud.

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Speaker 2: What women are actually talking about on Friday, the thirteenth

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Speaker 2: of February.

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Speaker 1: I'm hollywayn Right. What sorry, it's bad luck?

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Speaker 3: Oh shit thirty Yeah, that's bad luck.

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Speaker 2: Friday thirteen, Okay, Friday, the twelve ay Ofbruary.

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Speaker 3: All the fourteen like is kind of Valentine's Day, but

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Speaker 3: a day before Friday.

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Speaker 1: Valentine's Eve, Yes, February. We love that. And I am

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Speaker 1: Hollywayne right.

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Speaker 3: I'm Claire Stephens and I'm Jesse Stevens.

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Speaker 2: And here's what's on our agenda for our Friday show.

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Speaker 2: This is the week that the robots finally really freaked

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Speaker 2: me out, and we need to debrief.

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Speaker 3: Plus the petty hills we will always always die on

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Speaker 3: And are you a finger princess, because apparently there's one

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Speaker 3: in every friendship?

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Speaker 1: Have anything to do with that?

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Speaker 3: I think? I don't know, Holly, that's in your dreams.

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Speaker 3: Let's move on from here, but first, in case you

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Speaker 3: missed it, we are about to enter the year of

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Speaker 3: the Horse, the fire Horse, the Year of the fire Horse,

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Speaker 3: and there are some things everyone should know.

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Speaker 1: This is in the lunar calendar.

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Speaker 3: Right, this is Chinese stroll.

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Speaker 1: It's the lunar calendar. I think the new year starts

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Speaker 1: on the seventeenth.

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Speaker 3: On the secondeenth, which is next Tuesday, my wedding anniversary. Really,

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Speaker 3: stay well, Claire, I think it's our year. I did

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Speaker 3: some reading. I think it's our year. Feel like so

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Speaker 3: much holly over here is year of the pig.

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Speaker 1: Let's not say that with so much glee.

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Speaker 3: I like it.

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Speaker 1: I am a pig. Yes, we'll leave it.

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Speaker 3: You've had your years, Claire. We're the year of the

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Speaker 3: horse because we were born in nineteen ninety. Yeah, so

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Speaker 3: this has come round. We are, along with anyone born

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Speaker 3: nineteen fifty four, nineteen sixty six, nineteen seventy eight, two

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Speaker 3: thousand and two, twenty fourteen. Beyond that, I don't believe

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Speaker 3: you exist. And after reading about the Chinese zodiac for

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Speaker 3: eleven minutes this morning, I get the strong sense that

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Speaker 3: good things are coming for us. The fire horse is

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Speaker 3: one of the most powerful combinations on the Chinese zodiac.

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Speaker 3: Susan Goo, a traditional Chinese medicine practitioner and acupuncturist who

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Speaker 3: probably knows a little bit more about this than a

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Speaker 3: White Girl on TikTok or Me says that in Eastern culture,

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Speaker 3: the horse represents action, freedom, speed. You're known for your speed,

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Speaker 3: but fast on your feet, not and breakthrough. It reflects

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Speaker 3: a stage of life that moves boldly forward without the

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Speaker 3: fear of obstacles, placing emphasis on being in motion rather

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Speaker 3: than standing still. So this year, anything that we want

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Speaker 3: to do. Let's say, we want to start running, we

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Speaker 3: want to start gardening, we want to become really into weightlifting.

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Speaker 3: No planning. This is not the year for planning, ladies.

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Speaker 3: This is the year of just going for it. And

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Speaker 3: I was feeling really positive right and I thought, I'm

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Speaker 3: going to rabit in Holly's face.

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Speaker 1: Then can I just quickly tell you what's going to

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Speaker 1: happen to pigs this year?

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Speaker 2: Oh? Yes, just because you know, I think you want

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Speaker 2: to be represented.

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Speaker 1: I want to be represented.

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Speaker 2: And also it's not good news as opposed to you,

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Speaker 2: who's got lots.

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Speaker 1: Of good news.

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Speaker 2: The Year of the fire Horse presents a challenging, high energy,

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Speaker 2: and tumultuous period for pigs. Due to the rapid, unpredictable

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Speaker 2: nature of this year, pigs may face increased stress, emotional sensitivity,

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Speaker 2: and instability in work and relationships.

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Speaker 1: That doesn't sound.

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Speaker 3: Good, guys, like you've got to go back to bed. Well,

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Speaker 3: Holly in solidarity. I then came across something that was

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Speaker 3: not so good for us, right, because the horse does

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Speaker 3: sound Horses are beautiful, horses are beautiful, energy healthy. Yeah,

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Speaker 3: maybe that's why bio Sensory was sitting on one naked

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Speaker 3: in that Vanity fair profile that we.

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Speaker 1: Talked about it. It was a nod to. It was a nod.

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Speaker 3: Yeah. So in nineteen sixty six, which was the last

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Speaker 3: time we had a fire horse year, and you know

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Speaker 3: how I said, historically it's a very important year, there

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Speaker 3: was a statistical drop in birth rates in a bunch

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Speaker 3: of Eastern countries. You know why, because there are superstitions

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Speaker 3: around having babies in the year of Christ. Do not

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Speaker 3: want babies in the year of the horse. Apparently they're wild,

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Speaker 3: they're too difficult, and they bring bad luck to the

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Speaker 3: whole family. Oh no, Claire, do you have any feelings

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Speaker 3: about that? Yeah, I mean you're gonna have two of them,

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Speaker 3: so hahah that's hilarious. And we already know that the

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Speaker 3: girl is that Yeah, there's doing a lot of kicking.

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Speaker 3: I'm getting a big horse energy from the girl. Yeah,

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Speaker 3: she's wreaking havoc in there, but I am also having

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Speaker 3: a horse.

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Speaker 4: Baby.

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Speaker 3: You're having a horse. I'm having a little horse in July.

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Speaker 3: End of July.

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Speaker 2: This is news for people who did not listen to

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Speaker 2: yes Yesterday's subscriber Episo said with me where you two talked.

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Speaker 1: About your weird twinness pregnancies.

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Speaker 2: Exactly when I said weird, sorry to every twin in

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Speaker 2: the world, I meant you're interesting, intriguing and curiosity inducing

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Speaker 2: twin pregnancy.

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Speaker 3: Sorry, girls, how do you feel about having that baby

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Speaker 3: in the Year of the Horse? You've been anxious? Well, no,

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Speaker 3: I mean I think to have a horse. I'm like,

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Speaker 3: I already had a horse.

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Speaker 1: She came kicking.

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Speaker 3: She did come say that. Matilda came out of the

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Speaker 3: womb going ah, she got lost and there were lots

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Speaker 3: of issues. So there's going to be some wildness. Yeah,

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Speaker 3: a lot of city still. Yeah, but I have to

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Speaker 3: say this whole thing about it being our year. No, no, no, no, no,

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Speaker 3: high energy. I have done nothing. I'm doing a lot

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Speaker 3: of standing still, a lot of life.

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Speaker 2: You're building a baby. We need to reframe that as

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Speaker 2: work and not laziness.

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Speaker 3: Oh yeah, well I would say I'm feeling less fire

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Speaker 3: horse and more water. Is there a wa No, there

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Speaker 3: is one I've added.

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Speaker 1: In the world.

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Speaker 3: Water exactly exactly. But I'm on my back, floating, sleeping. Yeah,

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Speaker 3: and that's the energy.

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Speaker 2: Yeah, I have a wildlife story that has nothing to

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Speaker 2: do with anything just sidebarring. We can take it out

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Speaker 2: if we want. Because another Chinese early ex sign.

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Speaker 3: Is snake, which was the year we'd just had.

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Speaker 2: I think, so yes, yes, And on Saturday, this is right,

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Speaker 2: this is the exit of the Year of the Snake.

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Speaker 2: And on Saturday, I was driving down a road near

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Speaker 2: where I live, and I see steaks quite a lot.

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Speaker 1: Where I live, because I live.

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Speaker 2: In the in the country, not really the country, but

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Speaker 2: you know, regional area, I see stakes quite a lot.

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Speaker 2: I was driving down the roadwhere I live and.

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Speaker 1: There was a huge like a huge.

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Speaker 2: Green python in the middle of the road, like in

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Speaker 2: the middle of the road, right it was going to

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Speaker 2: get run over. And I was early in the morning,

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Speaker 2: was like seven thirty in the morning and Saturday, and.

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Speaker 3: I feel like a sign, Holly, but I don't know what.

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Speaker 1: Well, here's me.

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Speaker 2: I was like that poor snake it's going to get

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Speaker 2: run over. So I pulled the car over.

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Speaker 1: I go over the sea.

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Speaker 3: Then what.

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Speaker 2: Holly, I go over to see if the snake is

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Speaker 2: in fact alive.

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Speaker 1: It is. His little heads up. It's like all very

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Speaker 1: busy like looking looking.

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Speaker 2: And I'm like, how do I get the snake off

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Speaker 2: the river along? Because it's going to get squished. And

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Speaker 2: I don't know a lot about snakes, but I know

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Speaker 2: that like where I live, we have black red belly snakes,

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Speaker 2: venomous hie them's a chill.

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Speaker 1: Hythens be chill. Anyway, I'm standing there looking like an.

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Speaker 2: Idiot, like a city slicking idiot, staring at this snake.

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Speaker 2: And a ute comes along and pulls up, and the

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Speaker 2: man from Central Casting.

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Speaker 1: Gets out of this car. Is the ozziest country bloke

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Speaker 1: you have ever seen in your life.

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Speaker 2: He's kind of older. He's literally wearing overalls. He's like

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Speaker 2: looks at me like I'm really stupid. But he's quite kind,

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Speaker 2: so he's like dull.

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Speaker 1: For that sake.

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Speaker 3: You're like, I was just having a child.

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Speaker 1: I just don't want him to die.

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Speaker 2: He's just looking at me like anyway, I said, I

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Speaker 2: was thinking, how am I get a stick?

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Speaker 1: And like, try and.

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Speaker 2: Push it off the road, and he's like, you're an idiot,

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Speaker 2: and he said, not poisons, but they're snappy little buggers.

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Speaker 2: And then he goes over to the snake. He picked

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Speaker 2: it up, grabs it by the head and throws it

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Speaker 2: into the giant python.

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Speaker 1: And he was just like, there you go. He'll live

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Speaker 1: to fight another day now. And he goes back in.

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Speaker 3: His car and he drives off.

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Speaker 1: And I was like, snake encounters.

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Speaker 3: I love country people.

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Speaker 1: Now I realized that was the exit of the Year

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Speaker 1: of the snake.

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Speaker 3: I still have a few days to have a snake

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Speaker 3: baby well, because I was too early for this.

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Speaker 2: Yeah, you can't one of that battle no snake baby

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Speaker 2: babies inside.

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Speaker 3: But I have had two snake encounters this year. We

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Speaker 3: had an encounter with a diamond pythen and I got

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Speaker 3: Matilda really into the snake, and then every morning she'd

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Speaker 3: get up and say snakes. Yah. It was in a

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Speaker 3: tree where Matilda was playing. Yeah. And then we saw

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Speaker 3: one on the road as well.

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Speaker 2: Apparently they like to warm themselves up on the tarmac. Yeah,

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Speaker 2: that's my friend, that's what my friend would who picked

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Speaker 2: the snake up told me, don't try that at home

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Speaker 2: kN and that had nothing to do with that, but

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Speaker 2: I just wanted to share.

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Speaker 3: Also, just a reminder, So, Claire, you and I are

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Speaker 3: on a subscriber episode with Maya where you talk about

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Speaker 3: discovering that you were pregnant. What the journey's been like

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Speaker 3: so far. There's some Duty Twins stuff. Yeah, yeah, that

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Speaker 3: of mea locktus in a room and just asked all

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Speaker 3: the questions. Yeah, and she even said yes sday she

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Speaker 3: said I left a little surprise for you at the

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Speaker 3: end of the episode. So she's making us listen downloads. Yeah,

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Speaker 3: she's desperate.

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Speaker 2: Moving on Lewis Kim kissing at the Super Bowl AI.

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Speaker 2: Apparently they were there. They were sitting next week to

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Speaker 2: other but apparently.

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Speaker 1: Those photos you've seen of them kissing AI.

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Speaker 3: Don't trick me. You know what I keep getting spammed

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Speaker 3: is AI images of Megan and Harry and their children. Yes,

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Speaker 3: and it's clearly not them because I don't share pictures

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Speaker 3: of their kids. But I'm like, who is making these

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Speaker 3: and why?

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Speaker 2: Catherine and William like laughing up Royal's lee and passion,

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Speaker 2: Like there's a lot of confusing stuff out there. Obviously

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Speaker 2: Posh dancing at Brooklyn's wedding. We know thats AI because

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Speaker 2: Brooklyn's holding that ace up his sleep for his next drop.

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Speaker 2: But did you know that a lot of people are

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Speaker 2: also getting AI kids school pictures? Now, let me tell

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Speaker 2: you a story in the Nine Newspapers this week by

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Speaker 2: Marie Eldar explained that when she picked her kid up

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Speaker 2: from school photo day recently, she was like, how did

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Speaker 2: the photos go? And her kids said, we didn't have

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Speaker 2: class photo. They're going to use AI to make it. Evidently,

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Speaker 2: Marie writes, the photographer took individual photos of each student

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Speaker 2: instead and seething positions. So that's a lot of a

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Speaker 2: lot of work still, and then we'll string them together

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Speaker 2: using AI to create a group one where everybody looks great.

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Speaker 2: Individual photos stitch together to create a moment that never happened,

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Speaker 2: rather than capture one that did. I hate this so right,

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Speaker 2: So I kind of hate it too because I was like,

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Speaker 2: but somebody looking weird on the weird.

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Speaker 1: I need to start. I think it's pejorative, someone looking

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Speaker 1: a bit distracted, a bit messy, yeah, eyes closed.

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Speaker 3: The fact it takes you half a day and teachers,

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Speaker 3: you get out of class, it's really hot, you get

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Speaker 3: a really angry photographer. A quarter of the people in

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Speaker 3: the photo look really bad. You then have the status

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Speaker 3: of whether you have to sit in the front row

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Speaker 3: or the back you're going to go.

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Speaker 2: And so I was thinking about all that too, and

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Speaker 2: what we have lost, And then I made a point

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Speaker 2: that's probably more intellectual than mine. She said, we've just

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Speaker 2: won a small victory in the new social media band

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Speaker 2: for kids, but now it's showing them that.

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Speaker 1: It's okay to fake photos.

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Speaker 2: In discussion with other parents in the group chat, I

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Speaker 2: assume they pointed out bigger concerns. Where would these images

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Speaker 2: be stored, Which AI tool were they being fed into?

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Speaker 2: Would their likenesses turn up somewhere unexpected? And I feel

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Speaker 2: like this is the week where everywhere I've looked, the

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Speaker 2: sort of tsunami of AI use is finally tipping over

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Speaker 2: into everything. There was a really confronting, very thorough four

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Speaker 2: thousand word piece in the Australian mag by Roz Thomas

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Speaker 2: about the use of AI among UNI students and that

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Speaker 2: basically said that a conservative estimate of how many students

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Speaker 2: and these were like, these students were studying everything from

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Speaker 2: economic social sciences, nursing, marketing, business were outsourcing almost all

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Speaker 2: their study, and conservative estimate was around eighty five percent,

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Speaker 2: and a lot of the academics said they think it's

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Speaker 2: closer to ninety at least. A typical quote from this

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Speaker 2: from one of the students was it's seven forty am,

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Speaker 2: twenty minutes before the exam is due to begin, and

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Speaker 2: Hayden is still asleep. Has he slept through his alarm,

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Speaker 2: exhausted from late night crammy? Nope, the only work he's

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Speaker 2: done for this exam is researching which AI he'll.

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Speaker 1: Cheat to get the best marks.

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Speaker 2: In a minute or two, he'll roll out of bed,

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Speaker 2: slap some water on his face, and fire up his laptop.

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Speaker 2: At eight am, he'll feed his exam paper into chat GPT.

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Speaker 2: By eight six am, it will have gifted him thirty

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Speaker 2: correct answers. Hayden knows a perfect score will trip the

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Speaker 2: university's AI detectors, so he'll deliberately mangle a couple of

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Speaker 2: responses to get him to ninety four percent. Then he'll

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Speaker 2: wait three hours to mimic a genuine exam effort before

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Speaker 2: firing his A plus paper back to his examiner. Hayden

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Speaker 2: has now graduated with a high distinction. How much of

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Speaker 2: his final year studies did he outsource to AI?

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Speaker 1: All of it? He says, without skipping a beat.

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Speaker 2: And this article goes on to interview more students who

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Speaker 2: all say the same thing. More teachers also the same thing,

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Speaker 2: and I was like, I'm troubled.

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Speaker 1: Are we troubled?

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Speaker 3: We're so troubled?

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Speaker 1: But then I thought, am I being a Luddite for

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Speaker 1: being troubled? No?

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Speaker 3: No, there's a quote in there that says it's from

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Speaker 3: a Unie student who says, we use AI to answer

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Speaker 3: the questions on our AI generated papers so that our

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Speaker 3: lecturers or tutors can use AI to mark them. And

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Speaker 3: I was like, that is the most depressing thing I've

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Speaker 3: ever heard. I mean, you're not learning anything. And academics,

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Speaker 3: a lot of academics are saying, is this going to

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Speaker 3: be a post literate generation? And I feel for not

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Speaker 3: only academics, but teachers who went into this field because

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Speaker 3: they love reading the thoughts and the ideas and the

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Speaker 3: mistakes of young people like that. That's the whole point

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Speaker 3: is like engaging with that and being like, I have

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Speaker 3: never read that idea before, What an interesting perspective, And

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Speaker 3: that's never going to come out of AI and you've

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Speaker 3: got you could even tell they interviewed someone who is

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Speaker 3: in like year eight, that year eight kid thinks they're

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Speaker 3: smarter than the teacher, which even that dynamic and maybe

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Speaker 3: when it comes to AI and kind of getting around them,

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Speaker 3: maybe they are. But the worry with the university students

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Speaker 3: is that in five minutes they're going to be in

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Speaker 3: the workplace.

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Speaker 1: Having faked the.

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Speaker 3: Answers. But then I went, Okay, maybe they're more set

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Speaker 3: up for the workplace than I am, because that's what

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Speaker 3: I'm torn about. I'm thinking, well, is the future of

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Speaker 3: the workplace, is the future of social sciences? Is the

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Speaker 3: future of engineering? Or is the future of nursing just

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Speaker 3: the ability to use AI? Really well, maybe it is,

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Speaker 3: and maybe they're better trained than any of us. As

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Speaker 3: depressing as that is, however, something that I take a

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Speaker 3: little bit of glee from is that AI still stuffs up.

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Speaker 3: And so I love when we're doing.

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Speaker 1: So little bit worrying. If you're a patient of the nursing.

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Speaker 3: Well, exactly A has a little hallucinating exactly so, Jess,

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Speaker 3: I don't know if you've told this story or not

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Speaker 3: loud before about so you know, we're all using chat

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Speaker 3: jpt some kind of AI tool for a million different things.

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Speaker 3: I am using it as a doctor at this point,

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Speaker 3: I'm ingesting. The other day I had food poisonings. Doctors

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Speaker 3: will love that. Yeah, and it's pretty bloody good. It

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Speaker 3: breaks down like this to go to the hospital.

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Speaker 1: As far as you know, it's pretty good.

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Speaker 3: Anyway, I'm still standing, Yeah, I'm still standing. But we

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Speaker 3: went to a lovely murder mystery murder mystery night at

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Speaker 3: a friend's place late last year, and obviously the person,

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Speaker 3: lovely lovely girl who organized it did it through chat JPT.

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Speaker 3: So she's like, chat JPT, we're doing a murder mystery night.

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Speaker 3: Give me characters, give me like an outfit that people

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Speaker 3: should wear. Yeah, I had to wear a ball gown.

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Speaker 3: It was everybody else was in these funny costumes and

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Speaker 3: I was in heels and address and I'm like, that's

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Speaker 3: chat JPT. I hate you. But chat GPT had aneurysm

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Speaker 3: at some point during planning this whole thing. The hallucination

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Speaker 3: of chat JPT made the night. It was because it

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Speaker 3: was completely inconsistent. It was that clue didn't match that

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Speaker 3: we get being like, wait, what, that's not what my thing,

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Speaker 3: and everyone speaking in accents. It was a nineteen twenties

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Speaker 3: murder mystery. There was one guy who was like a

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Speaker 3: pe teacher and was complete. He was running a gym. Yeah,

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Speaker 3: and we were like, I don't think there were gims

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Speaker 3: completely modern and it was the funniest but I just

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Speaker 3: went so long as chat GPT still makes mistakes, we're safe.

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Speaker 3: So long as there are images where people have three hands,

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Speaker 3: at least we've got some chance.

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Speaker 2: Of where far off that I can tell, I've Kim

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Speaker 2: and Lewis looked pretty convincing pashing at the super Bowl.

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Speaker 1: They were in exactly the right outfits. Didn't you come

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Speaker 1: across a weird robot thing this week?

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Speaker 2: Too?

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Speaker 3: So? I was watching the Lucy let Be documentary on Netflix.

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Speaker 2: So she is the British nurse, Yeah, who is convicted

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Speaker 2: of murdering several children.

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Speaker 3: Yes, so over a twelve month period there were a

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Speaker 3: number of children.

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Speaker 1: Who's another one of those light things that you like

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Speaker 1: to watch.

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Speaker 3: Yeah, exactly who died. They were in Nicu, and they

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Speaker 3: died because of circumstances that no one could really explained.

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Speaker 3: So they did an investigation. Lucy let Be came out

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Speaker 3: as having been on shift. So Lucy let Be was

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Speaker 3: found guilty in a court of law, and it's about

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Speaker 3: the courtroom and the trial and everything that happened, but

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Speaker 3: also the debate that's occurred even since. But she's convicted

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Speaker 3: and she's currently in jail. So at the beginning of

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Speaker 3: the documentary it says names, appearances, and voices have been altered,

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Speaker 3: which is something I've seen before to protect identifying information.

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Speaker 3: I thought, particularly because it was to do with babies

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Speaker 3: and the sensitive, incredibly sensitive subject matter, I thought, oh, okay,

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Speaker 3: I totally understand that. But it was when digitally anonymized

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Speaker 3: came up that I went, oh, that's a term I'm

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Speaker 3: unfamiliar with. And the first I suppose, like witness person

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Speaker 3: that they have comes on and it says Zoe's mum

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Speaker 3: and Zoe was one of the victims. And in the

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Speaker 3: top right corner it said digitally anonymized something wasn't right.

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Speaker 3: Her eyes weren't right, her skin wasn't quite right. And

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Speaker 3: I went, robot and I just want to play you

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Speaker 3: a little bit of what this person says.

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Speaker 4: Three weeks before my duty, I woke up and my

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Speaker 4: water had broken.

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Speaker 2: This was it.

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Speaker 3: It was happening at the hospital.

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Speaker 2: I got checked out and a scan confirmed everything was fine,

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Speaker 2: so we were ready to meet little Zoe.

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Speaker 1: So that's not a human talking, no.

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Speaker 3: So I was really confused, just going is that a

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Speaker 3: human or not? And to be clear, Zoe's mum cries,

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Speaker 3: she emotes, she picks up a tissue. There's another one

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Speaker 3: where a best friend of Lucy let be she goes

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Speaker 3: through pictures of her and Lucy like from all across

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Speaker 3: the years, and it's this woman.

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Speaker 2: But they're robots, so I can understand what you're saying.

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Speaker 2: Bear with me because I'm not a robot. It takes

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Speaker 2: me a minute. So in a documentary, you know how,

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Speaker 2: sometimes they might interview someone who doesn't want their face

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Speaker 2: on camera. Yes, and they might just cast them in

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Speaker 2: a dark shadow and maybe change their voice by like oo.

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Speaker 1: Like that kind of thing.

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Speaker 2: It's kind of the new version of that. Yeah, So

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Speaker 2: Zoe's mum, those were her words. I believe she had

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Speaker 2: said or given to an interviewer, put through a different

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Speaker 2: voice and given a whole new face, so that her

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Speaker 2: anonimity is protected. But you have a human to sort

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Speaker 2: of relate to again.

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Speaker 3: Yes, but then the irony is I suppose in this documentary,

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Speaker 3: and I turned it off after the friend came on.

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Speaker 3: I just found it so discombobulating and confusing because I thought,

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Speaker 3: the reason we have these testimonies, the reason you would

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Speaker 3: add these into the documentary, is to humanize this story

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Speaker 3: and to remind you that there are real victims and

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Speaker 3: real people at the center of this. They are not

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Speaker 3: real victims, but real peak extent. We've always done that.

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Speaker 3: If we run an anonymous story on the site, you

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Speaker 3: use a stockphold, you use a stock photo. And but

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Speaker 3: it was something about the crying. It was like the

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Speaker 3: fact that this AI generated image was emoting and trying

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Speaker 3: to make me feel something, and I was like, but

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Speaker 3: is that how she would say it? Like? It just

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Speaker 3: felt so disingenuous. And I know that there are other

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Speaker 3: documentaries that have started to kind of play with it,

427
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Speaker 3: but I think because of the sensitivity of the subject

428
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Speaker 3: matter as well, a lot of people went, I absolutely

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Speaker 3: have the ick with this and I can't continue.

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Speaker 2: To watch it.

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Speaker 3: So I was watching the Gabby Potito documentary. So it's

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Speaker 3: called American Murder Gabby Potito on Netflix, and it's the

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00:21:55,594 --> 00:21:58,714
Speaker 3: young woman who was murdered by her boyfriend while they

434
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Speaker 3: were traveling around America, and they have got snippets of

435
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Speaker 3: her voice because she did so much content online. She

436
00:22:06,354 --> 00:22:09,994
Speaker 3: was doing YouTube and Instagram videos. They've got her voice

437
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Speaker 3: that they've been able to use AI to kind of

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Speaker 3: emulate her reading out her text messages. I was so

439
00:22:18,434 --> 00:22:20,754
Speaker 3: torn because I was like, on the one hand, you've

440
00:22:20,794 --> 00:22:23,114
Speaker 3: always had like a voice actor do that and you

441
00:22:23,194 --> 00:22:25,154
Speaker 3: kind of signposts. I mean, the difference is that the

442
00:22:25,234 --> 00:22:28,674
Speaker 3: voice actor is paid. Yes, that's true, that that's literally

443
00:22:28,714 --> 00:22:31,674
Speaker 3: putting people out of work. I mean, on the one hand,

444
00:22:31,954 --> 00:22:34,793
Speaker 3: I thought, well, is it more authentic if it's her voice?

445
00:22:34,794 --> 00:22:38,154
Speaker 3: But then it's adding emotion and it's adding emphasis where

446
00:22:38,194 --> 00:22:39,834
Speaker 3: it may not have been there.

447
00:22:39,994 --> 00:22:44,474
Speaker 2: It's very complicated because there are sensible reasons why both

448
00:22:44,514 --> 00:22:48,394
Speaker 2: those decisions would be made in those In these two examples,

449
00:22:48,994 --> 00:22:52,514
Speaker 2: you know that it might be more affecting to see

450
00:22:52,554 --> 00:22:55,954
Speaker 2: a person talking than a shadow head, even if that

451
00:22:55,994 --> 00:22:58,754
Speaker 2: person isn't real. And this is the thing I worry

452
00:22:58,794 --> 00:23:00,833
Speaker 2: that I worry about this stuff because maybe that just

453
00:23:00,874 --> 00:23:03,474
Speaker 2: sort of dates me, makes me a lot. I like

454
00:23:03,474 --> 00:23:05,634
Speaker 2: the people who worried about calculators and people who worried

455
00:23:05,634 --> 00:23:08,234
Speaker 2: about Google and people who worried about the printing press.

456
00:23:08,274 --> 00:23:11,154
Speaker 1: I don't know. But also it just feels like.

457
00:23:13,034 --> 00:23:16,634
Speaker 2: It matters what kind of tone of voice Gabby Petito

458
00:23:16,634 --> 00:23:20,194
Speaker 2: had have been using the artistic decisions that you would

459
00:23:20,274 --> 00:23:23,273
Speaker 2: make about how that mother said those words, what a

460
00:23:23,354 --> 00:23:28,154
Speaker 2: tone of voice was. Yeah, are all manipulating your experience

461
00:23:29,034 --> 00:23:31,954
Speaker 2: with sort of homogenizing humanity. I know that sounds like

462
00:23:31,954 --> 00:23:34,954
Speaker 2: a big hyfaluton thing, but homogenizing humanity not seeing the

463
00:23:34,994 --> 00:23:37,474
Speaker 2: weird little nuances in the way people would how do

464
00:23:37,514 --> 00:23:39,954
Speaker 2: you decide what accent she's gonna have, you know, like

465
00:23:40,034 --> 00:23:42,434
Speaker 2: is she from somewhere else? All those It's just really

466
00:23:42,754 --> 00:23:44,154
Speaker 2: it's beginning to freak me out.

467
00:23:44,274 --> 00:23:47,594
Speaker 3: Yeah, yeah, and we're declaring it now, but how long

468
00:23:47,754 --> 00:23:50,674
Speaker 3: until it's not declared? Until I'm sitting there just feeling

469
00:23:50,714 --> 00:23:53,154
Speaker 3: genuinely confused. And it's just part and parcel of the

470
00:23:53,194 --> 00:23:58,714
Speaker 3: content that we consume. And I worry that having ethics

471
00:23:58,754 --> 00:24:01,513
Speaker 3: about these sorts of things. I think about it with

472
00:24:01,994 --> 00:24:03,794
Speaker 3: writing as well, because as the story at the moment

473
00:24:03,794 --> 00:24:06,594
Speaker 3: about an American author who's written two hundred books in

474
00:24:06,594 --> 00:24:10,434
Speaker 3: the last year with AI, the quote from her is,

475
00:24:10,514 --> 00:24:12,273
Speaker 3: if I can generate a book in a day and

476
00:24:12,314 --> 00:24:14,754
Speaker 3: you need six months to write a book, which Jesus

477
00:24:14,794 --> 00:24:16,114
Speaker 3: six months, I will trying to write a book in

478
00:24:16,114 --> 00:24:18,714
Speaker 3: six months. Who's going to win the race? And I

479
00:24:18,754 --> 00:24:20,394
Speaker 3: was like, one, I didn't know it was a race.

480
00:24:20,514 --> 00:24:24,434
Speaker 3: It is actually very I mean, she did that near

481
00:24:24,514 --> 00:24:29,994
Speaker 3: the snakes. But it does make me think, are these

482
00:24:30,034 --> 00:24:34,634
Speaker 3: ethical concerns can hold people back in the workforce going

483
00:24:34,634 --> 00:24:36,994
Speaker 3: to hold people back from No one's studying the ethics

484
00:24:36,994 --> 00:24:38,954
Speaker 3: anymore because they're just doing their essays on the.

485
00:24:39,274 --> 00:24:43,394
Speaker 2: Yeah, actually success because you're asking the robot what they

486
00:24:43,394 --> 00:24:46,313
Speaker 2: think about robots, and guess what they think about robots?

487
00:24:46,474 --> 00:24:51,513
Speaker 3: Grabulous out louders. In a moment, we're going to talk

488
00:24:51,594 --> 00:24:55,834
Speaker 3: about the petty hills. We will always always die on.

489
00:25:00,154 --> 00:25:00,714
Speaker 1: Out louders.

490
00:25:00,754 --> 00:25:02,834
Speaker 4: I'm having so much fun being back in your ears

491
00:25:02,834 --> 00:25:06,394
Speaker 4: twice a week on our subscriber episodes. On Tuesday, we

492
00:25:06,474 --> 00:25:10,434
Speaker 4: spoke with Holly we the Royal we Me. I spoke

493
00:25:10,514 --> 00:25:14,154
Speaker 4: with Holly and Jesse and we've talked about generational parenting.

494
00:25:14,154 --> 00:25:17,834
Speaker 4: But on that note, as you may have heard, someone

495
00:25:18,074 --> 00:25:21,234
Speaker 4: is doing some weird twin shit. Claire and Jesse pregnant

496
00:25:21,234 --> 00:25:24,154
Speaker 4: again at the same time. If you want to know

497
00:25:24,514 --> 00:25:27,674
Speaker 4: everything about that, and I had questions. Let me tell you,

498
00:25:28,234 --> 00:25:31,074
Speaker 4: I have shoehorned them into the studio and made them

499
00:25:31,074 --> 00:25:33,714
Speaker 4: sit down. Jesse had to put a feed up, and

500
00:25:34,234 --> 00:25:37,114
Speaker 4: I've asked them a lot of questions about Claire's pregnancy

501
00:25:37,274 --> 00:25:39,994
Speaker 4: and how they're feeling. If you're not already a subscriber,

502
00:25:40,114 --> 00:25:41,914
Speaker 4: follow the link in the show notes and you can

503
00:25:41,994 --> 00:25:44,073
Speaker 4: listen to it right now and get us in your

504
00:25:44,114 --> 00:25:45,954
Speaker 4: ears five days a week.

505
00:25:47,594 --> 00:25:50,073
Speaker 3: Now. We've discussed how this is the year of the

506
00:25:50,074 --> 00:25:53,234
Speaker 3: Horse and the many ways in which we can become

507
00:25:53,554 --> 00:25:57,033
Speaker 3: better people, But sometimes we also need a break from

508
00:25:57,234 --> 00:26:02,834
Speaker 3: self improvement by being unnecessarily and inappropriately Betty. An article

509
00:26:02,874 --> 00:26:06,114
Speaker 3: on MMEA last week asked seventeen women about the petty

510
00:26:06,194 --> 00:26:09,714
Speaker 3: hill they're willing to die on. I clicked immediately because

511
00:26:09,794 --> 00:26:12,314
Speaker 3: I too would like to lie down on a hill. Yea,

512
00:26:12,594 --> 00:26:15,513
Speaker 3: and it probably wouldn't take that much to make me

513
00:26:15,674 --> 00:26:19,154
Speaker 3: just collapse on that film. A couple of the responses

514
00:26:19,434 --> 00:26:21,794
Speaker 3: were things like, I always make a point of walking

515
00:26:21,834 --> 00:26:23,994
Speaker 3: straight into someone if they don't make room for me

516
00:26:24,194 --> 00:26:30,074
Speaker 3: when getting off a train. Yeah, that's fine.

517
00:26:30,274 --> 00:26:32,354
Speaker 2: There are a lot of public transport related ones, right,

518
00:26:33,074 --> 00:26:35,674
Speaker 2: People who do not let people get off trains before

519
00:26:35,834 --> 00:26:38,994
Speaker 2: they get on. That's not okay. No, those people.

520
00:26:39,434 --> 00:26:40,914
Speaker 3: Really upside around the world.

521
00:26:41,594 --> 00:26:42,794
Speaker 1: They would all be gone.

522
00:26:43,314 --> 00:26:46,434
Speaker 3: Yes. Another one was if a car starts to tailgate

523
00:26:46,514 --> 00:26:48,793
Speaker 3: me when I'm going the speed limit or even a

524
00:26:48,874 --> 00:26:52,994
Speaker 3: bit over, I will purposely slow down. That sounds dangerous

525
00:26:52,994 --> 00:26:55,794
Speaker 3: and annoying. Yeah, I always convince myself it's a police

526
00:26:55,834 --> 00:26:58,793
Speaker 3: officer tailgating me and they're testing me, So I always

527
00:26:58,834 --> 00:27:01,754
Speaker 3: say the speed limit, which must also be annoying. But

528
00:27:01,834 --> 00:27:05,313
Speaker 3: we also asked around the Mummeya office and here's a

529
00:27:05,394 --> 00:27:08,154
Speaker 3: few of the hills our friends would like to die on.

530
00:27:08,594 --> 00:27:11,474
Speaker 5: If there is a full boss and someone has their

531
00:27:11,514 --> 00:27:13,714
Speaker 5: bag on the seat, I will very loudly ask them,

532
00:27:13,754 --> 00:27:15,434
Speaker 5: can you please take your bag off the seat so

533
00:27:15,514 --> 00:27:19,114
Speaker 5: I can sit down. When people that are like not

534
00:27:19,234 --> 00:27:22,634
Speaker 5: sitting in your row on the plane put their carry

535
00:27:22,634 --> 00:27:25,313
Speaker 5: on luggage in the overhead locker for your section so

536
00:27:25,314 --> 00:27:27,114
Speaker 5: that when you get on there there's no space, it

537
00:27:27,474 --> 00:27:29,634
Speaker 5: really drives me nuts, and I.

538
00:27:29,554 --> 00:27:31,674
Speaker 3: Do make a song and dance about it. I get

539
00:27:31,674 --> 00:27:33,954
Speaker 3: really annoyed when people put things in lockers at the gym,

540
00:27:33,954 --> 00:27:36,594
Speaker 3: but they don't lock it. I open them and there's

541
00:27:36,634 --> 00:27:39,234
Speaker 3: like people stuff inside, and I've thought about setting a

542
00:27:39,274 --> 00:27:42,033
Speaker 3: pin code unlocking it because I have never done it,

543
00:27:42,074 --> 00:27:45,194
Speaker 3: but I'm so close to you because it's annoying. My

544
00:27:45,354 --> 00:27:48,874
Speaker 3: petty hill that I die on is when cyclists cut

545
00:27:48,914 --> 00:27:51,874
Speaker 3: you off and you're a pedestrian. I'll just go so sir,

546
00:27:52,274 --> 00:27:56,834
Speaker 3: to let them know you've done wrong. You've done wrong,

547
00:27:57,554 --> 00:28:00,194
Speaker 3: done wrong, did wrong. I never set a pin code

548
00:28:00,194 --> 00:28:02,513
Speaker 3: at the gym. Yeah, No, I think it signals to

549
00:28:02,514 --> 00:28:05,114
Speaker 3: the world that I'm trusting. I trust everyone. Yeah, I

550
00:28:05,194 --> 00:28:08,914
Speaker 3: leave my backpack in all thoughts of places. I like

551
00:28:08,994 --> 00:28:11,474
Speaker 3: to think that the three of us are quite rational

552
00:28:11,554 --> 00:28:15,914
Speaker 3: and sensible, not particularly emotional or sensitive. But I do

553
00:28:16,074 --> 00:28:18,474
Speaker 3: have some strong opinions I'm not afraid to share with

554
00:28:18,514 --> 00:28:21,273
Speaker 3: the group. Here are the petty hills I'm willing to

555
00:28:21,314 --> 00:28:26,194
Speaker 3: die on. Sparkling water is simply ruined water. Yeah, if

556
00:28:26,234 --> 00:28:29,514
Speaker 3: you want bubbles in a beverage, get a coke. It's

557
00:28:29,594 --> 00:28:32,394
Speaker 3: not right in water. And we've talked about this on

558
00:28:32,434 --> 00:28:35,513
Speaker 3: a subscriber episode. But also if someone comes to the

559
00:28:35,554 --> 00:28:37,594
Speaker 3: table and says, what water do you want, I just

560
00:28:37,594 --> 00:28:40,114
Speaker 3: think that we've got to be speaking default in tap water.

561
00:28:40,594 --> 00:28:41,274
Speaker 1: Tap is fine.

562
00:28:41,554 --> 00:28:44,874
Speaker 3: Still, it's fine, but don't bring me a still bottle

563
00:28:44,914 --> 00:28:47,274
Speaker 3: and then charge me seventeen dollars for it. I was fine,

564
00:28:47,554 --> 00:28:49,914
Speaker 3: fine with tap. When people say still, I'm like, oh,

565
00:28:49,914 --> 00:28:55,594
Speaker 3: you do it well? Goodness. Yeah, crocs are a hideous shoe,

566
00:28:55,634 --> 00:28:58,514
Speaker 3: and not in an ironic way. No, I disagree. I

567
00:28:58,514 --> 00:29:01,634
Speaker 3: think that we've moved on. They're dated.

568
00:29:02,274 --> 00:29:06,154
Speaker 1: My son lives only in crops. Yes, they don't look great,

569
00:29:06,914 --> 00:29:10,314
Speaker 1: but they're easy. And you know, I don't need him

570
00:29:10,354 --> 00:29:13,194
Speaker 1: to look great. I need him to have his feet.

571
00:29:14,674 --> 00:29:19,394
Speaker 3: Step on the snakes. People who become your best friend

572
00:29:19,634 --> 00:29:23,914
Speaker 3: immediately are bad news. That's that's a rule. I've always

573
00:29:23,954 --> 00:29:27,874
Speaker 3: that my nan news to say that. I believe it.

574
00:29:28,034 --> 00:29:32,914
Speaker 2: People who go straight to a nickname of time, but

575
00:29:32,994 --> 00:29:34,994
Speaker 2: a time must elapse before nicknames are used.

576
00:29:34,994 --> 00:29:38,874
Speaker 3: To Marritt, first sight is just as worthy of analysis

577
00:29:38,914 --> 00:29:41,274
Speaker 3: and pages in the newspaper as elite sports.

578
00:29:42,074 --> 00:29:43,914
Speaker 1: I just gets them.

579
00:29:44,114 --> 00:29:49,274
Speaker 3: Yes, sure, fact, there's a whole sports section and I'm like,

580
00:29:50,794 --> 00:29:52,154
Speaker 3: what isn't that great?

581
00:29:52,594 --> 00:29:55,474
Speaker 1: Are you joking? There's some really good anyway, We don't know,

582
00:29:56,114 --> 00:29:58,794
Speaker 1: we won't. You've got a tennis correspondent here.

583
00:29:58,714 --> 00:30:02,274
Speaker 3: And if one correspondent and my football you're also a

584
00:30:02,314 --> 00:30:05,194
Speaker 3: maps correspmard and that's a coincidence. Okay, I think it

585
00:30:05,234 --> 00:30:08,434
Speaker 3: lives in the same universe. Ring tones are a nervous

586
00:30:08,434 --> 00:30:11,634
Speaker 3: system hazard. There's no reason to have your phone on

587
00:30:11,754 --> 00:30:14,874
Speaker 3: loud because, let's be honest, it's in your hand. What

588
00:30:14,954 --> 00:30:18,634
Speaker 3: if you're a doctor, that's actually more annoying. No, in

589
00:30:18,674 --> 00:30:21,514
Speaker 3: the pit where their phones keep going off during surgery,

590
00:30:21,554 --> 00:30:26,754
Speaker 3: I'm like, put it on silent. Person delivering my baby

591
00:30:26,794 --> 00:30:30,154
Speaker 3: to have their phone on loud, why, well, because if

592
00:30:30,154 --> 00:30:32,874
Speaker 3: they're at home or something, I want them notified it's

593
00:30:32,914 --> 00:30:34,554
Speaker 3: in their back pocket. Yeah, it's vibrate.

594
00:30:35,554 --> 00:30:38,314
Speaker 2: People who have don't have their phones on silent. I

595
00:30:38,314 --> 00:30:40,514
Speaker 2: want the outlouders to give us lots of good examples

596
00:30:40,514 --> 00:30:42,714
Speaker 2: of when your phone needs to be on loud. I

597
00:30:42,714 --> 00:30:43,914
Speaker 2: guess if it's not next to.

598
00:30:43,874 --> 00:30:46,834
Speaker 3: You, Yeah, but have it on you have pocketed on

599
00:30:46,874 --> 00:30:50,634
Speaker 3: your person. And my final one is and this is

600
00:30:50,634 --> 00:30:54,354
Speaker 3: something I think about most days. Bad Neighbors and Bad

601
00:30:54,354 --> 00:30:57,354
Speaker 3: Neighbors Too are two of the greatest films of the

602
00:30:57,434 --> 00:31:01,634
Speaker 3: last decade. They're actually so funny, they're so good zach

603
00:31:01,674 --> 00:31:04,594
Speaker 3: Efron both at their hot and every time I watch it,

604
00:31:04,634 --> 00:31:08,274
Speaker 3: I go nah, I didn't overhype this. These are really good,

605
00:31:08,354 --> 00:31:10,674
Speaker 3: great premise. I think about them often. No, I agree

606
00:31:10,714 --> 00:31:13,994
Speaker 3: with funny, but in like quite a progressive way. Yeah, yeah, no,

607
00:31:14,114 --> 00:31:16,434
Speaker 3: everyone should watch those films. Okay, I have a few.

608
00:31:17,554 --> 00:31:21,314
Speaker 3: Nuts are not a satisfying snack that anyone ever truly wants. Okay,

609
00:31:21,394 --> 00:31:22,994
Speaker 3: I feel like all of yours are going to be

610
00:31:23,034 --> 00:31:25,954
Speaker 3: about nuts because it's one of the few snacks you're

611
00:31:25,954 --> 00:31:28,194
Speaker 3: allowed to have. Exactly all you do is text me.

612
00:31:28,354 --> 00:31:32,874
Speaker 2: My second one is nutritional robots are always like four almonds.

613
00:31:33,634 --> 00:31:37,994
Speaker 3: I don't. I've never met someone who feels like four almonds.

614
00:31:38,154 --> 00:31:41,074
Speaker 3: This is my second one, Suggesting someone have a handful

615
00:31:41,154 --> 00:31:43,634
Speaker 3: of nuts as a snack has passed thee these are

616
00:31:43,674 --> 00:31:46,074
Speaker 3: all about and then this is my third one. Most

617
00:31:46,154 --> 00:31:49,394
Speaker 3: nuts taste like tree unless they're covered in salt or chocolate.

618
00:31:49,474 --> 00:31:50,394
Speaker 3: Can you have salt?

619
00:31:50,754 --> 00:31:50,994
Speaker 1: Yeah?

620
00:31:51,034 --> 00:31:53,394
Speaker 3: I think a little bit, but I can't really have truck.

621
00:31:53,274 --> 00:31:54,914
Speaker 1: And they kill people. Nuts kill people.

622
00:31:56,434 --> 00:31:58,994
Speaker 3: True, I hate nuts.

623
00:31:58,994 --> 00:32:02,754
Speaker 1: They're so right like almonds are like pistaschios.

624
00:32:02,954 --> 00:32:08,354
Speaker 3: Yeah, but I want to hold back four This is obvious.

625
00:32:08,434 --> 00:32:10,994
Speaker 3: But if I order a diet coke, a coke zero

626
00:32:11,074 --> 00:32:11,554
Speaker 3: isn't fine.

627
00:32:12,274 --> 00:32:14,834
Speaker 1: I often ask that, now, don't they Yes, oh we

628
00:32:14,874 --> 00:32:15,554
Speaker 1: do have coke zero.

629
00:32:15,594 --> 00:32:17,434
Speaker 3: And it's like, well, that's not what I asked for.

630
00:32:17,554 --> 00:32:20,354
Speaker 3: And when Holly asked for a peanut gree, you didn't say, oh,

631
00:32:20,354 --> 00:32:21,074
Speaker 3: we have a sab blanc.

632
00:32:21,194 --> 00:32:21,634
Speaker 1: Is that fine?

633
00:32:21,794 --> 00:32:27,394
Speaker 3: No, it's not. It's very very important. And a diet

634
00:32:27,434 --> 00:32:28,954
Speaker 3: coke in a can is not the same as a

635
00:32:28,994 --> 00:32:30,754
Speaker 3: diet coke in a bottle, is not the same as

636
00:32:30,754 --> 00:32:33,314
Speaker 3: a diet coke in a glass bottle. And it's not

637
00:32:33,394 --> 00:32:36,474
Speaker 3: just is not the same as on tap on tap,

638
00:32:36,554 --> 00:32:38,514
Speaker 3: that's different. If you've got post mix, I'll have pepsi

639
00:32:38,514 --> 00:32:40,474
Speaker 3: mat can we just get ow?

640
00:32:42,194 --> 00:32:45,114
Speaker 1: Is she maintenance? Not at all? Only when it comes

641
00:32:45,194 --> 00:32:46,714
Speaker 1: to her soft drink juices.

642
00:32:47,194 --> 00:32:50,914
Speaker 3: No more apps, We're all, oh the things I you know,

643
00:32:50,994 --> 00:32:54,834
Speaker 3: for daycare, I've got two apps for daycare, one to pay,

644
00:32:55,074 --> 00:32:57,594
Speaker 3: one to check speaking of my diabetes. You't know how

645
00:32:57,634 --> 00:32:58,034
Speaker 3: many apps?

646
00:32:58,034 --> 00:32:58,274
Speaker 1: I have.

647
00:32:59,754 --> 00:33:01,154
Speaker 3: Too many? And then it's like, you want to look

648
00:33:01,154 --> 00:33:03,274
Speaker 3: at pictures of your baby, download this app like from

649
00:33:03,354 --> 00:33:05,554
Speaker 3: ultrasounds and stuff, and I'm like, I.

650
00:33:05,554 --> 00:33:06,474
Speaker 1: Don't want to look that bad.

651
00:33:10,274 --> 00:33:13,274
Speaker 3: And if I'm eating at your establishment, I don't think

652
00:33:13,314 --> 00:33:15,834
Speaker 3: I should have to ask you to use the toilet,

653
00:33:15,914 --> 00:33:17,714
Speaker 3: and then you should have to give me a key

654
00:33:17,834 --> 00:33:20,434
Speaker 3: with a wooden spoon on the edge. I think that

655
00:33:20,554 --> 00:33:25,474
Speaker 3: it should just be easily accessible, but there's something embarrassing

656
00:33:26,034 --> 00:33:27,954
Speaker 3: walking around with the huge thing, and the next time

657
00:33:27,994 --> 00:33:29,074
Speaker 3: I need to go being like.

658
00:33:31,874 --> 00:33:35,554
Speaker 2: You wouldn't spoon again public transport, clearly lots of people

659
00:33:35,594 --> 00:33:38,114
Speaker 2: have lots of hills to die on. A quiet carriage

660
00:33:38,154 --> 00:33:41,394
Speaker 2: is a quiet carriage? The amount of time I spend

661
00:33:41,834 --> 00:33:44,794
Speaker 2: in my quiet carriage listening to the guy behind me

662
00:33:45,354 --> 00:33:50,274
Speaker 2: watching sometimes pawn, just porn, but also just some terrible

663
00:33:50,274 --> 00:33:53,554
Speaker 2: comedy or a really bad bro podcast on loud with

664
00:33:53,634 --> 00:33:54,874
Speaker 2: no headphones.

665
00:33:54,594 --> 00:33:56,194
Speaker 3: And is he like this is a good place to

666
00:33:56,234 --> 00:33:58,794
Speaker 3: listen because it's quiet.

667
00:34:00,914 --> 00:34:02,234
Speaker 1: Is the hill to die on? A bit?

668
00:34:02,394 --> 00:34:04,594
Speaker 2: Is that if I turn around to a person who's

669
00:34:05,274 --> 00:34:07,834
Speaker 2: perfectly happy to watch porn with sound up in a

670
00:34:07,874 --> 00:34:10,473
Speaker 2: quiet carriage, yeah, it's not gonna go well for me.

671
00:34:10,634 --> 00:34:13,514
Speaker 3: No, And you would have to speak, which is breaking

672
00:34:13,514 --> 00:34:14,714
Speaker 3: your own rules exactly.

673
00:34:15,274 --> 00:34:20,954
Speaker 2: I'm like, sign usually look around for someone who's pettier

674
00:34:20,994 --> 00:34:22,354
Speaker 2: and braver than I am and.

675
00:34:22,274 --> 00:34:24,393
Speaker 1: Say tell him on that.

676
00:34:24,474 --> 00:34:27,314
Speaker 2: Point about the people who put bags on seats. My

677
00:34:27,514 --> 00:34:30,234
Speaker 2: brother is so obsessed with that. That one time I

678
00:34:30,274 --> 00:34:32,033
Speaker 2: was talking to him because he gets the tram into

679
00:34:32,034 --> 00:34:34,354
Speaker 2: work in Manchester every day, and he was telling me

680
00:34:34,394 --> 00:34:36,674
Speaker 2: that he one time saw our local MP and he'd

681
00:34:36,714 --> 00:34:38,914
Speaker 2: voted for him and he likes this guy and everything,

682
00:34:39,314 --> 00:34:41,674
Speaker 2: and he had put the local and put his bag

683
00:34:41,754 --> 00:34:43,314
Speaker 2: on the seat next to him. He's like, that's it.

684
00:34:43,514 --> 00:34:47,873
Speaker 2: I've never voting with him again. Something in my brother's world.

685
00:34:47,634 --> 00:34:49,554
Speaker 1: That means bad person.

686
00:34:50,114 --> 00:34:57,074
Speaker 2: The baggage carousel stand back, I can't bear what's wrong

687
00:34:57,114 --> 00:34:57,473
Speaker 2: with us?

688
00:34:57,514 --> 00:34:59,873
Speaker 1: All like pushed up against the carousel said, no one

689
00:34:59,874 --> 00:35:00,674
Speaker 1: can see their bag.

690
00:35:00,874 --> 00:35:03,314
Speaker 3: You'll see your bag coming and then you can die

691
00:35:03,394 --> 00:35:04,434
Speaker 3: to it.

692
00:35:04,434 --> 00:35:06,834
Speaker 2: It's like every time I do that, I get really

693
00:35:06,914 --> 00:35:09,154
Speaker 2: up that about the state of humanity because I'm like,

694
00:35:09,274 --> 00:35:10,514
Speaker 2: you're just being selfish.

695
00:35:10,594 --> 00:35:13,873
Speaker 3: Stand back again, and you've got plenty of time to

696
00:35:13,914 --> 00:35:17,394
Speaker 3: see it. You do move too quickly. Yeah, that's actually

697
00:35:17,394 --> 00:35:18,114
Speaker 3: part of the problem.

698
00:35:18,434 --> 00:35:23,554
Speaker 2: Cottage cheese is not cheese, and cuge cheese brings pleasure.

699
00:35:23,794 --> 00:35:26,354
Speaker 1: Cottage cheese does not, ain't it.

700
00:35:26,354 --> 00:35:28,834
Speaker 3: It's like, really nuts.

701
00:35:28,874 --> 00:35:31,913
Speaker 2: All tomatoes do not go in the fridge ever. Now,

702
00:35:31,954 --> 00:35:33,954
Speaker 2: if you put your tomato in the fridge, I'm not

703
00:35:34,034 --> 00:35:34,994
Speaker 2: talking to you.

704
00:35:34,994 --> 00:35:36,514
Speaker 1: You make it taste like nothing.

705
00:35:36,754 --> 00:35:41,234
Speaker 3: Tomatoes, Why I'm having tomato issues. No, most things actually

706
00:35:41,234 --> 00:35:42,393
Speaker 3: do go on the bench.

707
00:35:42,554 --> 00:35:46,114
Speaker 2: On the bench, but particularly tomatoes. They are always bad

708
00:35:46,154 --> 00:35:48,714
Speaker 2: if they go in the fridge. The most controversial one

709
00:35:48,754 --> 00:35:51,114
Speaker 2: I always get a lot of shit for is cream before.

710
00:35:50,954 --> 00:35:53,474
Speaker 1: Jam on is gone. I know it's not traditional, except

711
00:35:53,474 --> 00:35:54,954
Speaker 1: apparently the Queen does it that way.

712
00:35:55,114 --> 00:35:58,074
Speaker 2: The cream is like the butter. It goes on the bottom. Okay,

713
00:35:58,314 --> 00:36:01,674
Speaker 2: bag out of a teacup. Don't leave the bag in.

714
00:36:01,914 --> 00:36:05,873
Speaker 3: Yeah, that is very long. It feels a little bit incomplete.

715
00:36:06,194 --> 00:36:07,074
Speaker 3: It's like giving you work.

716
00:36:07,474 --> 00:36:09,074
Speaker 2: And then often if you get a tea when you're

717
00:36:09,074 --> 00:36:12,154
Speaker 2: out there, say leave the bag in, like, no, I'm

718
00:36:12,154 --> 00:36:13,154
Speaker 2: paying five point fifty.

719
00:36:14,074 --> 00:36:16,674
Speaker 3: Feels like it also feels like the tea is never done.

720
00:36:16,794 --> 00:36:18,474
Speaker 3: Like every time you take a sip, you're taking a

721
00:36:18,474 --> 00:36:21,953
Speaker 3: sip of a fundamentally different cup of tea. Yeah, because

722
00:36:21,954 --> 00:36:25,394
Speaker 3: the concentration of the tea is different at all times.

723
00:36:26,034 --> 00:36:28,074
Speaker 2: And lastly, this is very parent one. But if you

724
00:36:28,114 --> 00:36:29,674
Speaker 2: do not say please, I cannot hear you.

725
00:36:30,034 --> 00:36:31,114
Speaker 1: That is the parents.

726
00:36:31,274 --> 00:36:34,034
Speaker 2: Everybody's like when they say can I have a chocolate?

727
00:36:34,074 --> 00:36:35,274
Speaker 1: You just ignore them.

728
00:36:35,714 --> 00:36:37,953
Speaker 2: They say it again you say, pardon, I can't hear

729
00:36:37,994 --> 00:36:39,234
Speaker 2: you in a loud voice.

730
00:36:39,354 --> 00:36:40,994
Speaker 1: That's very important. You will get to this.

731
00:36:41,154 --> 00:36:44,794
Speaker 3: That is so, That is so true. Yeah, man is

732
00:36:44,834 --> 00:36:49,234
Speaker 3: a good teach teach toddlers, because you're like, I know

733
00:36:49,314 --> 00:36:54,074
Speaker 3: how badly you want that, don't You'll do anything.

734
00:36:53,754 --> 00:36:57,114
Speaker 2: But I cannot hear you until you say the magic word.

735
00:36:57,754 --> 00:36:59,194
Speaker 2: It's been working for centuries.

736
00:37:00,434 --> 00:37:05,114
Speaker 3: After the break. There is a finger princess in every group,

737
00:37:05,514 --> 00:37:16,274
Speaker 3: and it's less dirty than it sounds. Apparently everyone has

738
00:37:16,274 --> 00:37:19,314
Speaker 3: an annoying friend called the finger princess. And I fear

739
00:37:19,354 --> 00:37:22,074
Speaker 3: the more I read about this, the more I discover

740
00:37:22,114 --> 00:37:26,714
Speaker 3: I am one. A finger princess is someone who asks

741
00:37:26,954 --> 00:37:33,474
Speaker 3: extremely simple questions they could easily google. There are definitely

742
00:37:33,554 --> 00:37:36,274
Speaker 3: a few out louders who might be finger princesses, and

743
00:37:36,314 --> 00:37:38,154
Speaker 3: they jump in the group and they ask things.

744
00:37:37,994 --> 00:37:40,433
Speaker 1: Although actually getting opinions.

745
00:37:39,954 --> 00:37:44,794
Speaker 3: Exactly and recommendations. I feel very defensive of them because solidarity.

746
00:37:45,634 --> 00:37:47,954
Speaker 3: So that the type of person who says, you're in

747
00:37:47,994 --> 00:37:49,994
Speaker 3: a group chat and they say, so, what times doennis night?

748
00:37:50,314 --> 00:37:51,594
Speaker 3: What restaurant do we agree on?

749
00:37:52,034 --> 00:37:52,194
Speaker 4: Hey?

750
00:37:52,234 --> 00:37:53,993
Speaker 3: Can you send me the menu? Where are we park?

751
00:37:54,114 --> 00:37:54,594
Speaker 1: Where is it?

752
00:37:54,914 --> 00:37:57,154
Speaker 3: Yeah? Yeah, all of that that's what they do. They

753
00:37:57,234 --> 00:37:59,754
Speaker 3: might post in a Facebook group and if ask if

754
00:37:59,754 --> 00:38:02,954
Speaker 3: someone knows of a hairdresser in Sorry Hill's, and people go,

755
00:38:03,474 --> 00:38:06,794
Speaker 3: you could google ah. They might say to their partner

756
00:38:07,194 --> 00:38:08,993
Speaker 3: where my water bottle is, even though they haven't moved

757
00:38:09,034 --> 00:38:13,114
Speaker 3: up the lounch and looked for themselves. They ask questions

758
00:38:13,234 --> 00:38:16,114
Speaker 3: that really they should use a little bit of initiative.

759
00:38:16,234 --> 00:38:18,274
Speaker 3: That was the term I heard a lot in high school,

760
00:38:18,754 --> 00:38:20,714
Speaker 3: was like, you should use initiative, and I was like,

761
00:38:20,834 --> 00:38:23,274
Speaker 3: I remember a teacher playing a guessing game with me

762
00:38:23,474 --> 00:38:25,634
Speaker 3: where the word who was clearly getting me to come

763
00:38:25,714 --> 00:38:28,154
Speaker 3: up with was initiative and it went for like seven minutes.

764
00:38:28,194 --> 00:38:29,594
Speaker 1: I was like, I have no.

765
00:38:29,514 --> 00:38:33,274
Speaker 3: Idea what you're asking me. Finger princesses are used to

766
00:38:33,314 --> 00:38:35,834
Speaker 3: people doing things for them and won't engage in any

767
00:38:35,874 --> 00:38:39,834
Speaker 3: basic problem solving. Do we have any finger princesses in

768
00:38:39,874 --> 00:38:40,194
Speaker 3: the room.

769
00:38:40,274 --> 00:38:44,474
Speaker 2: Yes, I am one, and I don't mean to be.

770
00:38:45,074 --> 00:38:47,873
Speaker 2: And this goes back to our AI conversation sometimes is

771
00:38:47,914 --> 00:38:50,114
Speaker 2: I sometimes realized that even in a work setting, I'll

772
00:38:50,154 --> 00:38:51,914
Speaker 2: be like, oh, I don't know how to do X

773
00:38:52,034 --> 00:38:54,513
Speaker 2: y Z, and I might ask someone how to.

774
00:38:54,394 --> 00:38:55,074
Speaker 1: Do X y Z.

775
00:38:55,594 --> 00:38:57,674
Speaker 2: The look I get on the faces of the young

776
00:38:57,714 --> 00:38:59,914
Speaker 2: people make me realize I was meant.

777
00:38:59,674 --> 00:39:01,114
Speaker 1: To ask Ai that question.

778
00:39:01,234 --> 00:39:02,953
Speaker 3: Luke has started saying that to me. He will say

779
00:39:02,954 --> 00:39:04,873
Speaker 3: to me, so just so you know what I'm going

780
00:39:04,954 --> 00:39:08,234
Speaker 3: to do is asking my chat And I'm like, okay,

781
00:39:08,274 --> 00:39:11,154
Speaker 3: you ask I don't like, but sometimes I need someone

782
00:39:11,154 --> 00:39:11,794
Speaker 3: to tell me that.

783
00:39:12,114 --> 00:39:17,314
Speaker 2: And sometimes and also sometimes you need to actually have

784
00:39:17,354 --> 00:39:19,954
Speaker 2: a conversation with a person and you learn better that way.

785
00:39:20,354 --> 00:39:23,674
Speaker 2: And awesome defensive finger princesses, is there are hairdressers in

786
00:39:23,714 --> 00:39:26,314
Speaker 2: sorry hills. You're not really asking, is there? You're asking?

787
00:39:26,674 --> 00:39:30,474
Speaker 2: Do you recommend one? Recommendations from robots are not reliable,

788
00:39:30,554 --> 00:39:35,594
Speaker 2: as we've discussed, whereas recommendations from out louders are very good.

789
00:39:36,074 --> 00:39:38,754
Speaker 3: How your foster a sense of community? All Facebook groups

790
00:39:38,914 --> 00:39:42,554
Speaker 3: are people asking questions they could google. Like that's that's

791
00:39:42,554 --> 00:39:46,194
Speaker 3: how people spend their time. If we just googled everything

792
00:39:46,194 --> 00:39:48,554
Speaker 3: we possibly could, we would simply never ask a question

793
00:39:48,794 --> 00:39:52,234
Speaker 3: because Google slash AI can answer everything. The other thing

794
00:39:52,394 --> 00:39:55,913
Speaker 3: is like, sometimes you need the vibe, not a chat

795
00:39:55,954 --> 00:39:59,314
Speaker 3: GPT response. It's like when people go to a Facebook

796
00:39:59,314 --> 00:40:02,034
Speaker 3: group and they've got a weird rash and like I've

797
00:40:02,034 --> 00:40:03,754
Speaker 3: got a weird rash, and all the responses that are

798
00:40:03,754 --> 00:40:07,154
Speaker 3: always will go to the docks. It's like, well, I

799
00:40:07,194 --> 00:40:11,274
Speaker 3: don't want to go to the doctor. I want to vibe.

800
00:40:11,234 --> 00:40:13,554
Speaker 1: And someone will say picture.

801
00:40:13,514 --> 00:40:17,314
Speaker 3: Yeah, and it's like, well, now you've made me panic. Yeah,

802
00:40:17,354 --> 00:40:19,154
Speaker 3: you've made which is one But the only answer I

803
00:40:19,234 --> 00:40:22,034
Speaker 3: ever want is it's fine. Yeah. It's like do I

804
00:40:22,154 --> 00:40:26,114
Speaker 3: currently have sepsis? Because if not, I'm actually just gonna

805
00:40:26,154 --> 00:40:28,473
Speaker 3: chill and read your responses. Are we all good? Are

806
00:40:28,474 --> 00:40:31,714
Speaker 3: we all good? But I also think everyone needs to

807
00:40:31,714 --> 00:40:36,714
Speaker 3: calm their hell down and stop pointing fingers at their

808
00:40:36,754 --> 00:40:39,714
Speaker 3: friends and coming up with bloody criticisms.

809
00:40:40,274 --> 00:40:42,754
Speaker 1: Print exactly finger.

810
00:40:43,034 --> 00:40:43,314
Speaker 4: Yeah.

811
00:40:43,754 --> 00:40:46,073
Speaker 3: I thought it was good to ask people for help

812
00:40:46,114 --> 00:40:49,234
Speaker 3: because it makes them feel like they matter. Yes, mattering,

813
00:40:49,514 --> 00:40:54,234
Speaker 3: And I actually always think I ask very little of

814
00:40:54,274 --> 00:40:58,194
Speaker 3: people in tangible terms, like I'd never ask I'd very

815
00:40:58,274 --> 00:41:00,714
Speaker 3: rarely ask for like a lift or like can you

816
00:41:00,754 --> 00:41:03,674
Speaker 3: help me move or anything like that, But I will

817
00:41:04,074 --> 00:41:06,674
Speaker 3: say when's dinner? Where am I going? All of that.

818
00:41:07,394 --> 00:41:10,194
Speaker 3: I do think that's probably quite annoying, like for the

819
00:41:10,234 --> 00:41:12,594
Speaker 3: people that always know, and it's like they booked and

820
00:41:12,674 --> 00:41:14,393
Speaker 3: they found the thing and it's like, Hey, well, we

821
00:41:14,514 --> 00:41:15,553
Speaker 3: going to dinner and what time?

822
00:41:15,594 --> 00:41:16,474
Speaker 1: Like that's probably annoying.

823
00:41:16,554 --> 00:41:19,394
Speaker 3: The other thing is I read this article and I thought,

824
00:41:19,674 --> 00:41:23,314
Speaker 3: what we need to encourage? And this is completely hypocritical

825
00:41:23,634 --> 00:41:27,234
Speaker 3: of me because I don't do it. But just be

826
00:41:27,514 --> 00:41:29,834
Speaker 3: direct if you have an issue. If your friend says

827
00:41:29,994 --> 00:41:32,473
Speaker 3: what time's dinner, you can say I don't know, look

828
00:41:32,514 --> 00:41:36,274
Speaker 3: it up. Okay. No, I disagree because this article had

829
00:41:36,274 --> 00:41:37,954
Speaker 3: some advice on what to say if you have a

830
00:41:37,954 --> 00:41:41,554
Speaker 3: fingerprintcess friend and it says you ask, hey, have you

831
00:41:41,554 --> 00:41:43,194
Speaker 3: seen my water bottle in the office day? And I

832
00:41:43,194 --> 00:41:46,474
Speaker 3: say I'm not sure. Where have you tried looking for it? Okay,

833
00:41:46,554 --> 00:41:49,473
Speaker 3: so you're a bitch. And then you say to me, hey,

834
00:41:49,754 --> 00:41:51,433
Speaker 3: can you send me the menu for tonight? So I

835
00:41:51,514 --> 00:41:53,674
Speaker 3: just know what's on the menu. I don't have it,

836
00:41:53,714 --> 00:41:55,034
Speaker 3: but it should be easy to find.

837
00:41:55,114 --> 00:41:57,394
Speaker 1: Yes, on the website, say on the website.

838
00:41:57,434 --> 00:41:59,754
Speaker 3: It should be on the website. And then you'll say, well,

839
00:41:59,754 --> 00:42:03,994
Speaker 3: of that, and then where are we going ak to

840
00:42:03,994 --> 00:42:07,433
Speaker 3: the website? Can you send me the url? Please? And

841
00:42:07,514 --> 00:42:10,394
Speaker 3: then like you ask me, you know, some vague question,

842
00:42:10,434 --> 00:42:12,433
Speaker 3: and I say, can you actually look into that for

843
00:42:12,514 --> 00:42:15,194
Speaker 3: me and let me know what you find m power,

844
00:42:15,194 --> 00:42:19,234
Speaker 3: move absolute power. You can't. A finer princess will never

845
00:42:19,314 --> 00:42:21,834
Speaker 3: take on the mental load. They'll just be like that's

846
00:42:21,874 --> 00:42:23,594
Speaker 3: weird and then not just go to someone in their

847
00:42:23,594 --> 00:42:25,913
Speaker 3: house and be like, hey, can you do this job?

848
00:42:28,114 --> 00:42:30,754
Speaker 1: There is no bigger finger princess than a teenage daughter.

849
00:42:31,034 --> 00:42:33,714
Speaker 1: She is on the couch and she is mom, is

850
00:42:33,714 --> 00:42:34,514
Speaker 1: there any water?

851
00:42:36,554 --> 00:42:37,794
Speaker 3: No way out?

852
00:42:38,834 --> 00:42:41,154
Speaker 2: Like imagine if I tried that one and I was

853
00:42:41,554 --> 00:42:42,674
Speaker 2: you could find.

854
00:42:44,074 --> 00:42:45,953
Speaker 1: Why didn't you go find out? Tell me if there's

855
00:42:45,954 --> 00:42:46,473
Speaker 1: any water?

856
00:42:47,194 --> 00:42:53,954
Speaker 3: You get me one? She'ld be like, what, mom's broken?

857
00:42:54,594 --> 00:42:54,794
Speaker 1: Dad?

858
00:42:54,914 --> 00:42:55,913
Speaker 3: Can you get MoMA water?

859
00:42:56,914 --> 00:42:57,594
Speaker 1: Exactly.

860
00:42:58,234 --> 00:43:02,394
Speaker 3: People are annoying and they do ask questions they could google.

861
00:43:02,634 --> 00:43:06,674
Speaker 3: But the cost of human relationships is that friction of

862
00:43:06,754 --> 00:43:11,114
Speaker 3: every then being like, h shut up. It's not something

863
00:43:11,154 --> 00:43:12,433
Speaker 3: we need to diagnose.

864
00:43:12,954 --> 00:43:14,674
Speaker 1: I don't know, I think out loud.

865
00:43:14,714 --> 00:43:16,594
Speaker 2: Is it going to have a lot of fun diagnosed

866
00:43:16,634 --> 00:43:19,474
Speaker 2: with finger princess people in their last Yeah.

867
00:43:20,834 --> 00:43:24,714
Speaker 4: Vibes, ideas atmosphere, something casual, something fun.

868
00:43:25,274 --> 00:43:29,594
Speaker 3: This is my best recommendation. It's Friday, so we want

869
00:43:29,674 --> 00:43:33,954
Speaker 3: to help set up your weekend with our best recommendations. Holly,

870
00:43:34,434 --> 00:43:35,194
Speaker 3: you go first.

871
00:43:35,554 --> 00:43:38,354
Speaker 2: I'm going to recommend hip new books that everyone is

872
00:43:38,394 --> 00:43:41,873
Speaker 2: talking about. It was written in eighteen forty six.

873
00:43:42,274 --> 00:43:46,114
Speaker 3: Oh, don't tell me you've reread Buthering I have.

874
00:43:46,314 --> 00:43:48,074
Speaker 2: I think I told the outlouders this, but I am

875
00:43:48,074 --> 00:43:51,034
Speaker 2: reckoing it today because this is the week that Wuthering

876
00:43:51,114 --> 00:43:55,194
Speaker 2: Heights comes out. We went to the premiere in fact,

877
00:43:55,234 --> 00:43:57,834
Speaker 2: and we're saving all of the juicy details about what

878
00:43:57,874 --> 00:43:59,754
Speaker 2: it's actually like until next week.

879
00:43:59,834 --> 00:44:01,034
Speaker 1: But it is huge.

880
00:44:01,074 --> 00:44:03,594
Speaker 2: And the thing is what's exciting about it is everybody

881
00:44:03,714 --> 00:44:06,954
Speaker 2: is going to read Wuthering Heights. They have had Penguins

882
00:44:06,954 --> 00:44:09,034
Speaker 2: say that they have had a four hundred and sixty

883
00:44:09,114 --> 00:44:12,994
Speaker 2: nine percent increase in sales of Wuthering Heights this year alone,

884
00:44:13,074 --> 00:44:16,433
Speaker 2: and it's only going to get more. So I am

885
00:44:16,474 --> 00:44:19,554
Speaker 2: recommending it. But I need to give you a little

886
00:44:19,554 --> 00:44:23,834
Speaker 2: bit of warning about that book, right, Okay, So Emily

887
00:44:23,914 --> 00:44:26,913
Speaker 2: Bronte wrote that book one hundred and eighty years ago,

888
00:44:27,474 --> 00:44:31,354
Speaker 2: and it is some twisted shit. If you haven't seen

889
00:44:31,394 --> 00:44:34,474
Speaker 2: the movie and you've just seen the greatest love story

890
00:44:34,514 --> 00:44:37,873
Speaker 2: of all time and all that stuff, like, just be

891
00:44:37,994 --> 00:44:40,873
Speaker 2: prepared for what you're about to step into. When it

892
00:44:40,954 --> 00:44:43,314
Speaker 2: was written and in the old days, the Brontes wrote

893
00:44:43,354 --> 00:44:46,274
Speaker 2: their books under a male pseudonym because women were allowed

894
00:44:46,274 --> 00:44:48,034
Speaker 2: to write books, and if they were, they were dismissed

895
00:44:48,034 --> 00:44:50,634
Speaker 2: as very silly. When it was published, one of its

896
00:44:50,674 --> 00:44:54,194
Speaker 2: early reviewers said, how a human being could have attempted

897
00:44:54,234 --> 00:44:57,434
Speaker 2: such a book without committing suicide before he had finished

898
00:44:57,474 --> 00:45:00,634
Speaker 2: a dozen chapters is a mystery. It is a compound

899
00:45:00,674 --> 00:45:04,234
Speaker 2: of vulgar depravity and unnatural horrors.

900
00:45:04,234 --> 00:45:07,114
Speaker 3: Oh man, that is why it stood the test.

901
00:45:06,914 --> 00:45:10,194
Speaker 2: Of That is what we have to contend with with

902
00:45:10,314 --> 00:45:14,393
Speaker 2: Wuthering Heights right now. Emily wrote this in lesson a year.

903
00:45:15,074 --> 00:45:17,953
Speaker 2: It is the only novel she ever wrote. It is

904
00:45:17,994 --> 00:45:21,154
Speaker 2: not believed that Emily Bronte ever had a boyfriend or

905
00:45:21,194 --> 00:45:23,354
Speaker 2: a lover, or actually knew any men that she was

906
00:45:23,394 --> 00:45:26,473
Speaker 2: not related to, so they think that Heathcliff was really

907
00:45:26,514 --> 00:45:28,274
Speaker 2: based on her brother, who was.

908
00:45:28,314 --> 00:45:30,594
Speaker 1: To use a pejorative, a crazy person.

909
00:45:31,354 --> 00:45:34,554
Speaker 2: Anyway, if you think it is a soppy love story,

910
00:45:34,554 --> 00:45:36,594
Speaker 2: you have a very big shotcoming. So I don't want

911
00:45:36,634 --> 00:45:39,873
Speaker 2: to hear any winging about trigger warnings about going this

912
00:45:40,074 --> 00:45:43,794
Speaker 2: movie or reading this book. It is some dark, twisted shit. However,

913
00:45:44,234 --> 00:45:47,674
Speaker 2: I am recommending it because it is brilliant. It stands

914
00:45:47,674 --> 00:45:48,434
Speaker 2: a test of time.

915
00:45:49,074 --> 00:45:52,674
Speaker 1: It's actually a book that's gossip because the whole plot.

916
00:45:52,434 --> 00:45:55,474
Speaker 2: Of Wuthering Heights is somebody who used to work in

917
00:45:55,514 --> 00:45:58,194
Speaker 2: the house where all this went down telling someone.

918
00:45:57,914 --> 00:46:01,754
Speaker 1: Else about it. So it's like earwigging on a gossip session, just.

919
00:46:01,794 --> 00:46:04,114
Speaker 3: A bit like married at first sight. It's so like

920
00:46:04,274 --> 00:46:08,194
Speaker 3: my first sight. Are you one of those people who

921
00:46:09,194 --> 00:46:13,314
Speaker 3: is mad that the film is not a perfect because

922
00:46:13,314 --> 00:46:14,594
Speaker 3: there are a lot of literary shits.

923
00:46:14,634 --> 00:46:17,194
Speaker 2: Not, No, I'm not at all, because I think we've

924
00:46:17,234 --> 00:46:18,594
Speaker 2: talked about this on the show. But I've got my

925
00:46:18,634 --> 00:46:21,634
Speaker 2: head around the fact that Emerald Fanell says she's written

926
00:46:21,674 --> 00:46:23,274
Speaker 2: a movie inspired by the book.

927
00:46:23,714 --> 00:46:25,274
Speaker 1: All accounts that it's.

928
00:46:25,074 --> 00:46:28,354
Speaker 2: Brilliant, it's dark, it's twisted, and I am recommending you

929
00:46:28,434 --> 00:46:30,634
Speaker 2: read it because it is brilliant, but it isn't a

930
00:46:30,674 --> 00:46:35,834
Speaker 2: stoppy love story. And also to remind everybody that women

931
00:46:35,914 --> 00:46:40,554
Speaker 2: have been writing dark, crazy, sexy, pucked up shit forever

932
00:46:41,394 --> 00:46:44,794
Speaker 2: without church epity, without with no robots, and even when

933
00:46:44,794 --> 00:46:46,513
Speaker 2: they had to pretend they were doing to write them.

934
00:46:46,754 --> 00:46:50,994
Speaker 2: So it's like, there's something deeply feminist about that book.

935
00:46:51,234 --> 00:46:53,314
Speaker 2: And I am highly recommending that if you're going to

936
00:46:53,354 --> 00:46:55,714
Speaker 2: go see the movie. Read it, not because you need

937
00:46:55,754 --> 00:46:57,674
Speaker 2: to for the movie, but just to like wallow in

938
00:46:57,754 --> 00:46:59,114
Speaker 2: the depravity.

939
00:46:59,194 --> 00:47:02,354
Speaker 1: As that reviewer said, there's all kinds of abuse, there's

940
00:47:02,394 --> 00:47:05,434
Speaker 1: all kinds of unhealthy relationships on display. It's great.

941
00:47:05,994 --> 00:47:09,513
Speaker 3: I have a recommendation for a book as well, which

942
00:47:09,554 --> 00:47:11,954
Speaker 3: is called The Correspondent by Virginia Evans.

943
00:47:12,074 --> 00:47:13,433
Speaker 1: Was that written in eighteen forty sereo?

944
00:47:13,514 --> 00:47:16,034
Speaker 3: It was not. I believe the reason why I had

945
00:47:16,034 --> 00:47:19,194
Speaker 3: to read it was because it kept coming up, as

946
00:47:19,274 --> 00:47:21,714
Speaker 3: which I think I said about Heart the Lover as well,

947
00:47:21,914 --> 00:47:25,474
Speaker 3: it kept coming up in everyone's best twenty twenty five books.

948
00:47:25,554 --> 00:47:28,194
Speaker 3: This one it was plaguing me. Everyone was going, you

949
00:47:28,234 --> 00:47:31,674
Speaker 3: have to read this. It's brilliant and it sounds unreadable

950
00:47:32,034 --> 00:47:35,314
Speaker 3: because it's a series of letters, so the whole thing

951
00:47:35,394 --> 00:47:38,274
Speaker 3: is written in letter form. The main character is named

952
00:47:38,514 --> 00:47:42,074
Speaker 3: Sybil van Antwerp, and she's a seventy year old woman

953
00:47:42,114 --> 00:47:46,514
Speaker 3: and it's about memory and guilt and aging and relationships

954
00:47:46,554 --> 00:47:49,634
Speaker 3: and her relationship with her daughter. The way they unfold.

955
00:47:49,874 --> 00:47:53,354
Speaker 3: This author is able to unfold plot through letters is

956
00:47:53,714 --> 00:47:58,834
Speaker 3: just nothing short of genius. It's just incredibly mesmerizing. Like

957
00:47:58,954 --> 00:48:02,953
Speaker 3: from the first page, I was just in Claire. You've

958
00:48:02,994 --> 00:48:06,913
Speaker 3: read it too. I sobbed and sobbed. Yeah, it's just

959
00:48:07,594 --> 00:48:08,434
Speaker 3: and that.

960
00:48:08,354 --> 00:48:09,114
Speaker 1: What's it about.

961
00:48:09,234 --> 00:48:11,154
Speaker 3: It starts off being about all the little things in

962
00:48:11,194 --> 00:48:13,594
Speaker 3: her life, like her neighbor who's clearly kind of interested

963
00:48:13,634 --> 00:48:17,434
Speaker 3: in her, and her brother and her, but it becomes

964
00:48:17,474 --> 00:48:20,634
Speaker 3: clear that she's lost her son. It's got the most

965
00:48:20,634 --> 00:48:24,433
Speaker 3: incredible passages about grief. She's got a fractured relationship with

966
00:48:24,474 --> 00:48:27,033
Speaker 3: her daughter that kind of opens up. But you also

967
00:48:27,034 --> 00:48:29,073
Speaker 3: see her bitching about her daughter like to other people

968
00:48:29,114 --> 00:48:32,433
Speaker 3: in the letters, and so things are changing over time.

969
00:48:32,434 --> 00:48:36,994
Speaker 3: But it's also like it reminds you of the beauty

970
00:48:37,034 --> 00:48:39,194
Speaker 3: and the power of letters, Like how much has been

971
00:48:39,234 --> 00:48:41,114
Speaker 3: lost that we don't write each other letters anymore.

972
00:48:41,194 --> 00:48:43,754
Speaker 2: You can get GPT to write emails. I'm sure they'd

973
00:48:43,794 --> 00:48:45,394
Speaker 2: have just the same emotional heft.

974
00:48:45,634 --> 00:48:49,274
Speaker 3: Yeah. Yeah, Well there's actually a personality in these and

975
00:48:49,514 --> 00:48:53,034
Speaker 3: the tone of everyone that's really different is just amazing.

976
00:48:53,754 --> 00:48:56,074
Speaker 3: And I also want to throw in another one actually,

977
00:48:56,114 --> 00:48:59,354
Speaker 3: because I listen to true crime conversations all the time.

978
00:48:59,394 --> 00:49:01,754
Speaker 3: I used to host it. It is a Mummere podcast.

979
00:49:01,794 --> 00:49:05,034
Speaker 3: It is one of our biggest podcasts. It is fascinating

980
00:49:05,074 --> 00:49:08,274
Speaker 3: they interview every week someone who who knows is an

981
00:49:08,354 --> 00:49:12,594
Speaker 3: expert in a particular criminal case. And you might remember

982
00:49:12,914 --> 00:49:15,754
Speaker 3: in twenty nineteen there was a young woman, a twenty

983
00:49:15,794 --> 00:49:18,714
Speaker 3: five year old named Courtney Heron, who was murdered after

984
00:49:18,754 --> 00:49:23,714
Speaker 3: a night out in Melbourne's CBD. Jemma Bath just last

985
00:49:23,754 --> 00:49:29,433
Speaker 3: week interviewed Courtney Heron's father and he goes into his

986
00:49:30,394 --> 00:49:35,354
Speaker 3: very personal experience of the justice system and the mental

987
00:49:35,354 --> 00:49:41,514
Speaker 3: health systems and why he believes Courtney was denied justice.

988
00:49:41,634 --> 00:49:44,994
Speaker 3: It's just such a generous podcast for him to even

989
00:49:45,634 --> 00:49:48,873
Speaker 3: sit down and talk about it. But also it has

990
00:49:48,954 --> 00:49:53,194
Speaker 3: so much heart and twenty nineteen it just feels so

991
00:49:53,194 --> 00:49:56,594
Speaker 3: so recent, and Jemma does such a brilliant job with it,

992
00:49:56,754 --> 00:49:59,194
Speaker 3: so we'll link to that in the show.

993
00:49:58,994 --> 00:49:59,994
Speaker 1: Notes as well.

994
00:50:00,274 --> 00:50:04,913
Speaker 3: My recommendation is I listened to this podcast on a

995
00:50:04,994 --> 00:50:08,674
Speaker 3: long car trip over the holiday and oh my god.

996
00:50:09,114 --> 00:50:13,874
Speaker 3: It's a documentary style Apple original podcast called a Drift

997
00:50:14,474 --> 00:50:18,114
Speaker 3: and it follows the story of the Robertson family and

998
00:50:18,234 --> 00:50:21,194
Speaker 3: it's the late nineteen sixties in England. They're struggling with

999
00:50:21,714 --> 00:50:27,114
Speaker 3: life on a farm when Google the father decides, guys,

1000
00:50:27,234 --> 00:50:29,874
Speaker 3: let's sail around the world. So it's a true story.

1001
00:50:29,954 --> 00:50:32,433
Speaker 3: It's a true story, okay, and there's been a book

1002
00:50:32,474 --> 00:50:37,714
Speaker 3: written about it, and you've got the stories from all

1003
00:50:37,754 --> 00:50:40,714
Speaker 3: the kids who were there and went through this whole experience.

1004
00:50:40,754 --> 00:50:44,074
Speaker 3: And it's fascinating because there's a big plot point of

1005
00:50:44,074 --> 00:50:46,794
Speaker 3: what happens, which we'll get to, but even just all

1006
00:50:46,874 --> 00:50:53,154
Speaker 3: the tiny side stories it goes into are brilliant. So

1007
00:50:53,194 --> 00:50:57,114
Speaker 3: it's the parents and they're four kids and so interesting

1008
00:50:57,194 --> 00:51:00,394
Speaker 3: in terms of family dynamics. What happens when they stop

1009
00:51:00,394 --> 00:51:03,234
Speaker 3: in Florida for a few months to work and kind

1010
00:51:03,274 --> 00:51:05,154
Speaker 3: of get involved with a bit of a shady guy,

1011
00:51:05,594 --> 00:51:08,514
Speaker 3: and what it's like to sail in literal paradise, the

1012
00:51:08,514 --> 00:51:12,714
Speaker 3: things they see that having been like inland in England,

1013
00:51:12,914 --> 00:51:15,354
Speaker 3: they had never seen before. But the crux of the

1014
00:51:15,394 --> 00:51:17,834
Speaker 3: story is that one day they are sailing in the

1015
00:51:17,874 --> 00:51:21,194
Speaker 3: Pacific Ocean pretty much as as much in the middle

1016
00:51:21,194 --> 00:51:23,953
Speaker 3: of nowhere as you could possibly be. They have an

1017
00:51:24,034 --> 00:51:28,554
Speaker 3: encounter with killer whales that makes their boat sink and

1018
00:51:28,594 --> 00:51:32,394
Speaker 3: they are stranded, oh shit, and no way to contact anyone,

1019
00:51:32,554 --> 00:51:37,194
Speaker 3: minimal supplies, surrounded by sharks, and it is just the

1020
00:51:37,234 --> 00:51:40,234
Speaker 3: most you can't believe. It's a true story, except that

1021
00:51:40,514 --> 00:51:42,554
Speaker 3: they are telling it. The kids who are in the

1022
00:51:42,554 --> 00:51:45,434
Speaker 3: boat are telling the story. So it's a beautifully made

1023
00:51:45,594 --> 00:51:48,834
Speaker 3: show with you know, all the soundscaping and like all

1024
00:51:49,474 --> 00:51:55,154
Speaker 3: how many episodic And I love a limited series podcast,

1025
00:51:55,274 --> 00:51:57,913
Speaker 3: especially for a road trip that you know you'll get

1026
00:51:57,914 --> 00:51:58,834
Speaker 3: this whole story.

1027
00:51:58,914 --> 00:52:00,514
Speaker 1: It's great to jump into one of those.

1028
00:52:00,834 --> 00:52:03,634
Speaker 3: And you're just enthralled. So go and listen wherever you

1029
00:52:03,634 --> 00:52:04,194
Speaker 3: get your podcast.

1030
00:52:04,234 --> 00:52:05,394
Speaker 1: It's called a drift.

1031
00:52:06,354 --> 00:52:09,993
Speaker 2: Just one thing about reading about books. I just want

1032
00:52:09,994 --> 00:52:13,073
Speaker 2: to remind everybody about our summer book club series which

1033
00:52:13,074 --> 00:52:15,834
Speaker 2: we made with our partners at Royal Caribbean. We did

1034
00:52:15,914 --> 00:52:19,873
Speaker 2: three very different books Jesse m and I. We did

1035
00:52:19,914 --> 00:52:23,314
Speaker 2: All Fours by Miranda July, we did Great, Big Beautiful

1036
00:52:23,314 --> 00:52:26,393
Speaker 2: Life by Emily Henry, and we did Angie fe Martin's Malluka.

1037
00:52:26,554 --> 00:52:29,513
Speaker 2: And the people who have listened along with that, we've

1038
00:52:29,514 --> 00:52:31,114
Speaker 2: had lots of great feedback about it.

1039
00:52:31,274 --> 00:52:34,114
Speaker 3: We had a lot of out louders say that Malaluca

1040
00:52:34,354 --> 00:52:36,554
Speaker 3: was the one that they enjoyed the most, which I

1041
00:52:36,554 --> 00:52:39,433
Speaker 3: think we said as well because we hadn't read it yet. Yeah,

1042
00:52:39,594 --> 00:52:44,634
Speaker 3: Australian fiction debut author came out last year, so much

1043
00:52:44,674 --> 00:52:46,074
Speaker 3: discussion happening about that book.

1044
00:52:46,114 --> 00:52:49,354
Speaker 2: All four was probably the most divisive. Yeah, probably most

1045
00:52:49,354 --> 00:52:53,393
Speaker 2: in the spirit of my friend Emily Bronte.

1046
00:52:53,794 --> 00:52:54,794
Speaker 1: But anyway, you.

1047
00:52:54,714 --> 00:52:57,434
Speaker 2: Can find all the Mom and Mere book Club episodes

1048
00:52:57,514 --> 00:52:59,234
Speaker 2: in our feed and we'll put a link in our

1049
00:52:59,234 --> 00:53:01,834
Speaker 2: show notes. You can go straight there if you and

1050
00:53:01,874 --> 00:53:04,594
Speaker 2: your mates want to read along and listen to those epps.

1051
00:53:05,194 --> 00:53:08,234
Speaker 2: That is all we have time for out Louder. Feels

1052
00:53:08,274 --> 00:53:09,954
Speaker 2: like it's been quite a lot today.

1053
00:53:10,554 --> 00:53:12,034
Speaker 1: We've been all over the place.

1054
00:53:12,834 --> 00:53:15,234
Speaker 2: Thank you so much to you Claire Stevens for filling

1055
00:53:15,274 --> 00:53:18,634
Speaker 2: in for our Emily. Thank you to our brilliant team.

1056
00:53:18,914 --> 00:53:19,994
Speaker 1: You want to shout some of them out.

1057
00:53:20,314 --> 00:53:25,834
Speaker 3: Group Executive producer Ruth Devine, Senior producer Tina Mattalov, our

1058
00:53:25,914 --> 00:53:29,674
Speaker 3: senior audio producer is Leah Porgies, video producer Josh Green,

1059
00:53:29,754 --> 00:53:40,913
Speaker 3: and our junior content producer is Tessa Kodovich. Bye Bye, Mamma.

1060
00:53:40,954 --> 00:53:43,674
Speaker 2: Mia acknowledges the traditional owners of the land on which

1061
00:53:43,674 --> 00:53:45,114
Speaker 2: we've recorded this podcast.