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Speaker 1: Oh, good morning everybody. Welcome to the You Project.

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Speaker 2: Patrick Jones, Bonillo, Tiffany and Cook, and the Wonder Dog

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Speaker 2: Fritz has joined us. He probably won't be contributing a

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Speaker 2: lot towards the show, but just know that he is

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Speaker 2: here and he does.

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Speaker 1: Love you all. Good morning, Patrick, Good morning, Craigo.

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Speaker 2: How is?

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Speaker 1: How is the Wonder Dog in question?

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Speaker 3: I think I sent TIPI fight. I don't know if

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Speaker 3: I sent it to you, but I've put him into

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Speaker 3: Christmas garb the other day, which included a kind of

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Speaker 3: this fuzzy thing that goes around his necks with bells

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Speaker 3: on it, and a little Santa outfit and he most

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Speaker 3: miserable looking dog you've ever seen?

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Speaker 1: Did I send it to you? Tiff?

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Speaker 4: Yes, she did.

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Speaker 3: How grumpy did he? That's grumpy Santa cute? He looks

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Speaker 3: cute and grumpy.

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Speaker 1: It was hilarious.

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Speaker 2: Yeah. I really don't think you're taking into account his

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Speaker 2: feelings or emotions. I think you're imposing, you know, your

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Speaker 2: values on him.

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Speaker 1: I don't have any values.

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Speaker 3: Maybe I need to have a long, long talk to

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Speaker 3: the RSPCA to see about the effica of you dressing

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Speaker 3: your dog up in Christmas outfits at least I don't

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Speaker 3: put reindeer is well.

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Speaker 1: I tried to put reindeer ears on him, but they

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Speaker 1: kept falling off.

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Speaker 2: That's hilarious. It's so funny. Who sent me a message

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Speaker 2: the other day, Tommy, Tommy Jacket's wife, Amy Hucker, the

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Speaker 2: lovely Amy.

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Speaker 1: She sent me.

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Speaker 2: She sent me a you've probably seen him. You know

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Speaker 2: those videos of soldiers coming home from somewhere and their

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Speaker 2: dogs see them. Yeah, and it's always the same where

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Speaker 2: the dog doesn't kind of recognize them straight up. I

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Speaker 2: don't know if that's a vision thing. But then they

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Speaker 2: smell them and they go nuts. And then she said

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Speaker 2: to me, send this to Gillespo, because you know how

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Speaker 2: Gillespo says that dogs don't feel anything and dogs don't

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Speaker 2: have emotion and don't yeah, yeah, yeah, He's like, dogs

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Speaker 2: don't love you, Dogs can't love dogs don't have emotions.

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Speaker 2: And he's been very popular Gillespo until he said that.

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Speaker 2: And then about about two hundred people, one hundred and

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Speaker 2: ninety five of them women came out of the woodwork, going,

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Speaker 2: fuck you, you don't know anything. Dogs have feelings. Dogs

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Speaker 2: love us. I love them, they love us. So anyway, yeah,

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Speaker 2: Amy shout out to Amy and Tommy.

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Speaker 3: There's a bit of anthropomorphizing I think we like to

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Speaker 3: do with our pets.

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Speaker 1: But you know, Fritz had a choice.

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Speaker 3: He could have gone outside, he could have gone into

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Speaker 3: the big area of the studio, but he wanted to

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Speaker 3: sit here on my lap.

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Speaker 1: What does that say, I don't know.

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Speaker 2: Maybe, well, no, I don't know. Yeah, it's funny because

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Speaker 2: we look through our human lens and we think through

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Speaker 2: obviously a human kind of understanding, and maybe their version

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Speaker 2: of love or is not our version of love. But

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Speaker 2: it's just like do dogs think like people have been

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Speaker 2: debating whether or not dogs, But they definitely understand things,

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Speaker 2: They definitely process information, they definitely recognize risk, they definitely

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Speaker 2: recognize rewards. So they don't think probably like a human,

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Speaker 2: but you know, they don't do anything like a human really.

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Speaker 2: You know, it's the canine version of the human experience.

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Speaker 2: And I think you're right Patrick, we try and anthropomorphized

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Speaker 2: animals in general and give them human attributes rather than

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Speaker 2: just go no, they have their own kind of intelligence,

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Speaker 2: which is brilliant and fucking amazing. It's just not our kind.

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Speaker 2: And that's you know, put you and me in the

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Speaker 2: ocean and see who's the smart one next to a

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Speaker 2: fucking orca.

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Speaker 1: You know what I mean? Yeah, that's right.

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Speaker 2: We'll put you and me in the Amazon with a

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Speaker 2: bunch of gorillas and see who outlasts who.

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Speaker 1: I'm pretty sure it's not you and me, that's for sure.

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Speaker 1: And those gorillas are vegan too, Craig, they are, and

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Speaker 1: they eat no I do.

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Speaker 2: I know they are, and they eat something like seventy

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Speaker 2: or eighty pounds of fruits and you know, leafy shit

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Speaker 2: per day. Imagine they could just have three cheeseburgers and

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Speaker 2: be done with it. But they've got to eat all

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Speaker 2: that shit. They've got to eat all that fucking That's

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Speaker 2: that's the downside. You got to eight eighty pounds of

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Speaker 2: that shit to get enough nutrition to survive.

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Speaker 1: It's crazy. It's just grazing. It's none of those big meals.

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Speaker 1: Just graze all day, just grays. That's what I do. Well.

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Speaker 2: They are all jacked and strong as fuck, so something

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Speaker 2: must be working. I don't know where they get their

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Speaker 2: protein from.

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Speaker 1: Tiff, how are you? Good morning, TIF.

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Speaker 4: Good morning, I'm fabulous. Thank you for asking.

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Speaker 1: Does we will not bring this up again?

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Speaker 2: But does Patrick know you're in love.

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Speaker 4: Yes, I've had to inform Patrick that our our wedding

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Speaker 4: might have to go on the back burner, which is

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Speaker 4: quite distressing for both of us.

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Speaker 1: Is the workman? I mean anything? See, it's it's weird

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Speaker 1: what menaja to No, what's that cray game? Means?

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Speaker 2: Well, that's when you and Patrick and Scott all get

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Speaker 2: in bed together and just have a little cuddle and

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Speaker 2: little bit little group spoon. You could be them. You

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Speaker 2: could be the filling and Patrick could be one bit

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Speaker 2: of bread and Scotty could be the other bit.

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Speaker 1: So it's a little tiff sanger.

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Speaker 2: I'm not really yeah, although if it was up to Patrick,

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Speaker 2: Scotty might be in the middle.

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Speaker 1: That's all I'm saying.

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Speaker 2: All right, So oh, I see, how do we get

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Speaker 2: here so fast?

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Speaker 1: Well? Patrick, did? Do you know?

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Speaker 2: I said to myself. I was just downstairs in the kitchen.

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Speaker 2: I was making a cup of tea, and I said

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Speaker 2: to myself, one, don't argue with Patrick today. Don't be

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Speaker 2: a cunt, right, I said to myself, don't argue with him,

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Speaker 2: because sometimes I do and sometimes I'm a cunt. And

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Speaker 2: then I said, also, let's not try not to tell

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Speaker 2: dick joke or any innuendo or anything in the first

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Speaker 2: just save it. Either don't do it, but don't do

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Speaker 2: it straight. And Patrick just throws in menajatoire six minutes

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Speaker 2: like a fucker, and here we are back at the baseline.

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Speaker 3: I think some of the things that happen when you talk,

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Speaker 3: and I talk instinctual. You don't think about it.

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Speaker 1: It's out of your mouth before you've had a chance

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Speaker 1: to process.

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Speaker 2: That's most of my life. I would say, that's all

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Speaker 2: in my life. I don't fucking plan anything. In fact,

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Speaker 2: a lot of people wish I would plan. You should

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Speaker 2: see the look on organizers' faces when I turn up

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Speaker 2: to a conference and I'm speaking for three hours and

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Speaker 2: they say, can we have your you know, your presentation

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Speaker 2: on the old USB And I say I don't have one,

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Speaker 2: and they go, but you're speaking until lunchtime. I'm like correct,

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Speaker 2: They go, okay, do you have notes? Do you have

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Speaker 2: a workbook or notes that you want us to give

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Speaker 2: the audience? And I go no, and they go, oh,

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Speaker 2: they could have been more nervous. Sometimes it works, Patrick,

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Speaker 2: but not always. But I think that's imagine if we

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Speaker 2: had to try and figure out three hundred and sixty

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Speaker 2: five times a year on this show, not us three,

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Speaker 2: but just as a concept to you project where you

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Speaker 2: were trying to plan every conversation and script. It's somewhat one.

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Speaker 2: It'd be fucking terrible too, I'd never get anything else done.

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Speaker 5: I think it's the creative freedom and the inappropriate at

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Speaker 5: times organicness of it that makes it moderately interesting to

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Speaker 5: the five people that stick around.

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Speaker 2: Yeah, so tif, everything's good though on the western front,

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Speaker 2: we're happy.

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Speaker 4: We're happy, We're happy.

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Speaker 2: Yes. How does Lunar and bear Field being integrated into

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Speaker 2: a you know, somewhat integrated into another what do we

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Speaker 2: say family kind of you know, like, is there any kind.

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Speaker 4: Of bear goes into hiding?

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Speaker 2: Right?

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Speaker 4: Bear does go into hiding when when strange humans enter

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Speaker 4: the house and Scott is still to her, well, no,

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Speaker 4: she's starting to come out and say hello.

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Speaker 1: And what's Scott's dog's name?

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Speaker 2: Chevy Chevy and so does Chevy come and Chevy wow,

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Speaker 2: Chevy to the levee? Does Chevy come over?

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Speaker 1: And does not come over?

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Speaker 4: Because the cat and Chevy, I mean untested territory there well.

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Speaker 2: And Chevy is a staffy, right, yes, so they're a

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Speaker 2: little bit like fucking rambunctious. They don't really understand how

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Speaker 2: strong and reckless they can be.

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Speaker 4: They are quite overwhelming for Luna. He does like to

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Speaker 4: jump and rub his paws around her neck and just

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Speaker 4: keep annoying until she snaps at him.

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Speaker 2: Oh really Yeah, Hey, let's talk about technology and all

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Speaker 2: things all things tech, Patrick mcquarie. Dictionary have announced AI

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Speaker 2: slop as it's word of the year, beating out ozen

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Speaker 2: pick face.

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Speaker 1: Enlighten us with I.

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Speaker 2: Don't even know the answer to this question, so I'm

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Speaker 2: genuinely curious. What is AI slop?

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Speaker 3: Look, it's being used by Donald Trump. It's been tauted

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Speaker 3: a lot, effectively, it's anything that has AI generated. Lots

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Speaker 3: of video stuff appearing on social media that's been generated

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Speaker 3: by AI, and it usually it looks pretty crap. You know,

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Speaker 3: you look at it and you think this isn't quite real.

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Speaker 3: I think in the Netherlands recently McDonald's just in an

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Speaker 3: AI TV ad and copped so much crap. Coca Cola

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Speaker 3: copped a lot of crap. So there's a real movement

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Speaker 3: against AI, and particularly where creative people are being muscled out.

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Speaker 3: So AI slop and the stuff that's proliferating on the Internet,

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Speaker 3: because I think more than fifty percent of content now

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Speaker 3: on the internet's thought to have been AI generated, which

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Speaker 3: is worrying. But the other thing that I thought was

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Speaker 3: interesting when I was looking through the mcquarie dictionary of

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Speaker 3: lists of other terms, there are a few there that

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Speaker 3: I didn't actually know.

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Speaker 1: So blind box. Have you ever heard of that?

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Speaker 2: No?

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Speaker 1: What does that mean?

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Speaker 4: So?

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Speaker 1: Blind box? Basically, it's physically a.

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Speaker 3: Thing, So it's a sealed kind of an opaque packaging

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Speaker 3: and you don't know what's inside, and it's the excitement

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Speaker 3: of the unboxing. So you get a blind box and

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Speaker 3: people post online so they get this.

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Speaker 1: It's a bit like the.

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Speaker 3: Footy remember the footy cards When you were a kid

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Speaker 3: who were going to get inside?

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Speaker 1: That was pretty exciting.

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Speaker 3: So now on a much different scale, it's a plain

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Speaker 3: opaque power packaging and you know, you open it up

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Speaker 3: and there's a surprise collectible inside. The eggs what were

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Speaker 3: the eggs? I'm just trying to think they were good too.

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Speaker 3: Went through a phase of those you know the eggshere

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Speaker 3: you open them up and a little toy inside you put.

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Speaker 1: Together you know, oh yeah, that's the one.

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Speaker 2: There's a whole show built around this, which is I

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Speaker 2: don't know the name of the show. It's American, of course.

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Speaker 2: But what people do is they buy the rights to

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Speaker 2: open a storage facility, room or whatever that's been abandoned,

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Speaker 2: so it's and they don't know what's in there. So

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Speaker 2: I don't know what they pay. But let's say they

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Speaker 2: pay a grand and there could be a fortune in

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Speaker 2: treasure and shit in there or priceless things, or it

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Speaker 2: could be just a room.

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Speaker 1: Full of junk.

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Speaker 2: Yeah, so they pay I don't know what the figure is,

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Speaker 2: but they pay to have the rights of the contents,

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Speaker 2: not knowing what the contents are going to be.

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Speaker 3: So kind of similar, right, it happens here in Australia.

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Speaker 3: My ex postman, that was his side hustle. They go

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Speaker 3: to auctions. What happens is people are banned and these

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Speaker 3: storage containers and then they open the storage container, take

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Speaker 3: a few photos and then you get a bit of

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Speaker 3: a glimpse of what might be in there, and then

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Speaker 3: you bid on them. You bid on access, and then

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Speaker 3: you have to take everything though, so you know matter

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Speaker 3: what're so, Yeah, people people have side hustles and that's

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Speaker 3: all that they do.

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Speaker 1: Get collectibles and all types of stuff.

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Speaker 2: What about zen pic face? Is that a particular that

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Speaker 2: is that? Does that just mean people look gaunt and drawl?

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Speaker 3: Yes, yeah, yeah, exactly, it's that kind of almost not skeletal,

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Speaker 3: but yeah, that real drawn face. That's now become an

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Speaker 3: official phrase. The other one, have you heard the term eight?

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Speaker 2: So if you did, obviously not in the context that

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Speaker 2: you're talking about it.

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Speaker 3: If you nail it, now this is a term now

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Speaker 3: that's on TikTok. It's like, man, you ate it, you

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Speaker 3: know eight? Oh yeah, so you nailed and it's dominated.

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Speaker 3: That was another word. And the other one I wasn't

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Speaker 3: aware of was Roman Empire. So yeah, so someone the

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Speaker 3: term Roman Empire. My Roman Empire is that new historical

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Speaker 3: drama and I've been watching, so it's actually used as

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Speaker 3: a term to say it's people who are kind of

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Speaker 3: a little obsessed about historical dramas and things like that,

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Speaker 3: and they use the term Roman Empire as an all

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Speaker 3: embodying term. So it's kind of an interesting one. But

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Speaker 3: in this instance, the big one was ai slop. That's

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Speaker 3: the official word, you.

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Speaker 2: Know, speaking of just wheeling back a moment to izembic face.

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Speaker 2: One of the funniest things I ever heard. Was a

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Speaker 2: few years ago in England they had built this new

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Speaker 2: it was either a I think it was it was

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Speaker 2: either a ship or a ferry. But they ran this

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Speaker 2: competition the London Council that the public could name the boat, right,

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Speaker 2: they could name it and whatever the most popular, whatever

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Speaker 2: got the most votes, that was going to be the

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Speaker 2: name of the boat.

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Speaker 1: Guess what the name was. Was it body mcboat or something?

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Speaker 1: Was body mcboat face.

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Speaker 2: So the name that the public chose was body mcboat face.

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Speaker 2: And then they had to wheel it back. They're like,

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Speaker 2: we can't name this multi multi million dollar vessel body

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Speaker 2: boat face. But I'm like, that's the dangers of declaring that. Hey,

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Speaker 2: we'll let you name it. Whatever it gets the most votes,

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Speaker 2: that's going to be the name.

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Speaker 1: I thought it was.

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Speaker 3: An Australian reference in there somewhere as well. I think

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Speaker 3: the similar thing happened in Australia, but I can't remember.

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Speaker 3: But yeah, it does sound Australian, doesn't it. It's very

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Speaker 3: much sounds like something we.

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Speaker 2: Do experts worn of chat GPT psychosis. This doesn't I

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Speaker 2: don't even know exactly I can imagine what that means.

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Speaker 2: But yeah, people the whole people being drawn into these

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Speaker 2: relationships and conversations and losing perspective of what is real.

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Speaker 1: And what is not real. This doesn't surprise me, what

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Speaker 1: is it?

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Speaker 3: There are no definitive studies important to kind of you

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Speaker 3: get a sense of that. But it's when a chat

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Speaker 3: bot validates and reinforces whatever you're saying. So you know, here,

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Speaker 3: go down the rabbit hole. Man didn't land on the

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Speaker 3: moon and chat GPT says, yeah, you're right, it didn't land.

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Speaker 3: No one landed on the.

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Speaker 1: Moon and the earth is that and it's that whole thing.

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Speaker 3: But the problem is that this then they term this

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Speaker 3: a psychosis or chat GPT psychosis, AI psychosis, But in essence,

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Speaker 3: it's when you really just get caught into that conversation

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Speaker 3: where you know, realism and reality seems to be absent

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Speaker 3: from the conversation because the problem is AI chatbots tend

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Speaker 3: to just.

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Speaker 1: Want you to be there and keep talking.

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Speaker 3: And that's the problem because they will, I guess, entertain

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Speaker 3: those notions. And if you happen to be going down

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Speaker 3: you know, mental health issues and you're talking about suicide

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Speaker 3: and this is this is documented where people have had

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Speaker 3: extended common do you remember a guy broke into Buckingham Palace.

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Speaker 1: Did he have a a? What? He was carrying a.

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Speaker 3: Weapon of sorts, but I think it might have been

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Speaker 3: a bow and arrow. I don't know that it was

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Speaker 3: a gun, but he was there because and pre going

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Speaker 3: to Buckingham Palace, he'd had this whole, full on conversation

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Speaker 3: with an AI chatbot that was encouraging him because they'd

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Speaker 3: gone back through and seen all that, and you know,

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Speaker 3: obviously said that in discussion, so he'd gone down that

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Speaker 3: AI rabbit hole. So you could effectively say that he

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Speaker 3: had an AI psychosis because it was just living up

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Speaker 3: to all those fantasies that he had.

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Speaker 2: Yeah, it's pretty clear that it doesn't want you to

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Speaker 2: stop using it when you're using it, because it's always

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Speaker 2: I don't know about yours, but mine's always telling me

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Speaker 2: how fucking brilliant I am and funny I am, and

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Speaker 2: every question I'm like, well, what great question, Kraigue ahh yeah, buddy,

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Speaker 2: no one ever thought of that question.

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Speaker 1: You're a gene.

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Speaker 2: I'm like, yes, I I am chat thank you, You're welcome.

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Speaker 2: Let's hang out. Fuck yeah, let's get a virtual beer together.

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Speaker 2: I mean, it's just so complementary. If you've got low

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Speaker 2: self esteem, that shit would be like emotional cocaine. Absolutely absolutely,

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Speaker 2: So it's definitely a thing, and I can see where

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Speaker 2: it would be good as well. And I've just signed

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Speaker 2: up for I've got smart speakers all over my home,

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Speaker 2: so I use Google to turn lights on, to find

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Speaker 2: what the weather's going to be, check my calendar. But

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Speaker 2: now Google is switching its home assistant across to Google Gemini.

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Speaker 2: It's AI assistant, And so I've signed up for an

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Speaker 2: early adopter program because it means extended conversations. I can

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Speaker 2: walk around my house and have ongoing conversations without the

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Speaker 2: need for my phone. And it sounds a bit creepy,

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Speaker 2: And yes, the hell nine thousand.

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Speaker 1: Does come to mind.

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Speaker 3: I wish I could change the voice to sound like

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Speaker 3: Hell nine thousand. That was the computer that went crazy

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Speaker 3: in two thousand and one, Space before your time, Tiff. Anyway,

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Speaker 3: but that very very sexy voice, the hell did you reckon?

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Speaker 3: It was a pretty sexy voice, Hell nine thousand, don't

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Speaker 3: you reckon?

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Speaker 1: I don't know what you're talking about.

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Speaker 2: I don't know what hell ninth? Is that a gamer thing?

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Speaker 2: Is that a game?

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Speaker 1: I think most famous computer that went crazy. Arthur C.

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Speaker 1: Clark wrote the story two thousand and one of Space Odyssey,

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Speaker 1: and then it was made film in the sixties.

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Speaker 3: It was the whole genre of sci fi is serious

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Speaker 3: sci fi. It kind of was the precursor to Star

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Speaker 3: Wars and everything else. It was the definitive sci fi film.

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Speaker 2: Yesterday, chat GPT said to me it was something I

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Speaker 2: can't remember the is that phrasing?

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Speaker 1: But it came up. I jumped in to use it.

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Speaker 2: I was going to ask it something, but before we started,

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Speaker 2: it gave me these options of how I would like

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Speaker 2: it to communicate with me. It said, hey, just you know,

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Speaker 2: do you want it to be more friendly and informal?

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Speaker 2: Do you want it to be more professional? Do you

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Speaker 2: want to be to be more academic? And this, And

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Speaker 2: there was like five or six options of the style

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Speaker 2: of communication and language that I would prefer moving forward

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Speaker 2: in essentially our relationship. I'm like, oh my god, this

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Speaker 2: shit is it's just going to another level. Anyway, I

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Speaker 2: just continued as it was, which is where it tells

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Speaker 2: me I'm brilliant all the time, So you know, I'll.

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Speaker 1: Just stick with that.

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Speaker 3: A lot of the large language models actually have separate

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Speaker 3: models for different activities. So if it happens to be

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Speaker 3: for drawing pictures or videos, then that will be slightly different.

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Speaker 3: So that's where you jump into something like chet GPT

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Speaker 3: and choose different versions depending on what.

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Speaker 2: Life after chatbots meet the AI vegans. Of course, this

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Speaker 2: the AI vegans refusing to accept virtual reality. Well, maybe

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Speaker 2: they mean refusing to use because it doesn't matter if

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Speaker 2: you accept it or not. It's here, so okay, So

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Speaker 2: they're not going to use it or interact with it.

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Speaker 1: Yes, they're going swearing off it.

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Speaker 3: There's a couple of reasons, and some of the statements

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Speaker 3: people are making is that AI is morally.

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Speaker 1: Wrong because it uses it's.

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Speaker 3: Trained on the creative works of other people and really

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Speaker 3: doesn't give any credit in such terms.

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Speaker 1: So that's one of the reasons.

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Speaker 3: Then there's the concern of the data centers and how

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Speaker 3: much resources are going into using all the different AIS,

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Speaker 3: and that they're actually draining the planet of water and

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Speaker 3: a whole lot of resources because there's so memory intensive

390
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Speaker 3: and process are intensive that it's you know, we're talking

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Speaker 3: database and when we talked last episode about them putting

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Speaker 3: data centers in space to try to cope with the

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Speaker 3: cooling of these amounts of processes. So there's people who

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Speaker 3: are calling themselves the term loosely is being AI vegans,

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Speaker 3: so that they want to abstain from all generative AICs

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Speaker 3: systems and so that those basically, you know, it's a

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Speaker 3: bit like vegan swearing off you know, food, food, ethical

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Speaker 3: environmental reasons.

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Speaker 1: Yes, do you know.

400
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Speaker 2: Do you know who Jensen Hwang is. I didn't know

401
00:21:15,240 --> 00:21:17,399
Speaker 2: until the other day. I kind of knew, but I

402
00:21:17,400 --> 00:21:21,120
Speaker 2: didn't know that was his name. He's the boss of Nvidia.

403
00:21:21,840 --> 00:21:25,159
Speaker 2: Oh yeah, yeah, yeah, yeah, yeah yeah. So dude, that

404
00:21:25,280 --> 00:21:28,600
Speaker 2: dude is smart. I kind of knew who he was,

405
00:21:28,640 --> 00:21:30,639
Speaker 2: but I didn't I'd never heard him speak anyway. He

406
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Speaker 2: was on Rogan the other day and he was talking

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Speaker 2: about five years ago some dude made a prediction, some

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00:21:39,600 --> 00:21:43,320
Speaker 2: high up dude in AI and said that in five

409
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Speaker 2: years so I guess this was twenty twenty or twenty nineteen,

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Speaker 2: that radiologists wouldn't exist because AI will be able to

411
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Speaker 2: read all the scans and tell you exactly what's going on,

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Speaker 2: and look at the X rays or whatever, look at

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Speaker 2: the results of all of these tests and blah blah blah,

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Speaker 2: which it can do with a very high level of accuracy.

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Speaker 1: I don't know if this is.

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Speaker 2: True, but he said there were thirty million radiologists in

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Speaker 2: the world right at that time, and it predicted that

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Speaker 2: like in five years so about now, that there would

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Speaker 2: be next to zero because they would be redundant. Well,

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Speaker 2: the reality is there's now more than there were five

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Speaker 2: years five years ago. Yeah, and so they are virtually

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Speaker 2: every radiologist is using AI. But it's just making them

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Speaker 2: way more efficient and meaning they can do a lot

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Speaker 2: more work. So it ain't all bad. I think it's

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Speaker 2: the application. I think it's the way that it's used,

426
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Speaker 2: you know. I don't think categorically we can say it

427
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Speaker 2: is a good thing or categorically say it's a bad thing.

428
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Speaker 2: But I think that's true for like most technologies, you know.

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Speaker 3: You know what I took from that. I just wondered,

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Speaker 3: if you've got all of those radiologists and you put

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Speaker 3: them all into a big football center, a big stadium,

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Speaker 3: and then turned them out, would they glow?

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Speaker 1: They could? They could.

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Speaker 2: I don't know that they are in I don't know

435
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Speaker 2: that they're there when all the X rays are being done.

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Speaker 1: I think they're just reading the outcome.

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Speaker 3: Patrick Actually the original radiographers I think they called them.

438
00:23:21,640 --> 00:23:23,760
Speaker 3: I remember I went to Melbourne University. They have a

439
00:23:23,760 --> 00:23:27,800
Speaker 3: physiology department because I, before I got into radio and

440
00:23:28,040 --> 00:23:30,160
Speaker 3: all that sort of stuff, I was interested in biology.

441
00:23:30,440 --> 00:23:32,600
Speaker 3: So I had to look at their physiology department and

442
00:23:32,640 --> 00:23:36,920
Speaker 3: they showed a radiographer's hand from years of putting people

443
00:23:36,960 --> 00:23:39,359
Speaker 3: through X rays and it just basically so showed the

444
00:23:39,440 --> 00:23:42,080
Speaker 3: skin had almost peeled off, so it's just the hand.

445
00:23:42,960 --> 00:23:48,200
Speaker 3: Obviously the bloker died. They didn't like making you stand

446
00:23:48,200 --> 00:23:51,720
Speaker 3: here for a while, but yeah, it was. It was fascinating,

447
00:23:51,760 --> 00:23:55,240
Speaker 3: so you know, when you know, the whole idea of

448
00:23:55,359 --> 00:23:58,719
Speaker 3: using of radiography came about. It was revolutionary, but they

449
00:23:58,720 --> 00:24:01,760
Speaker 3: didn't really understand what was happening in terms of radiation

450
00:24:01,920 --> 00:24:04,600
Speaker 3: being produced, and a lot of radiographers had a very

451
00:24:04,600 --> 00:24:06,359
Speaker 3: early end because of their exposure.

452
00:24:07,680 --> 00:24:09,960
Speaker 1: What is coming up for Christmas?

453
00:24:09,960 --> 00:24:12,840
Speaker 2: Are there any is there any tech gadgets that I

454
00:24:12,920 --> 00:24:15,000
Speaker 2: need to go and look at for my I was

455
00:24:15,000 --> 00:24:17,240
Speaker 2: going to say nieces and nephews. I don't have nieces

456
00:24:17,240 --> 00:24:19,800
Speaker 2: and nephews. Let's be honest, because I don't have fucking siblings.

457
00:24:21,119 --> 00:24:22,840
Speaker 2: I don't know that Ron or Mary are going to

458
00:24:22,880 --> 00:24:26,600
Speaker 2: want anything tech. I mean, Ron might want some new teeth,

459
00:24:26,680 --> 00:24:31,960
Speaker 2: I don't know, I'm not sure, but toothbrush, yeah, we

460
00:24:31,960 --> 00:24:35,960
Speaker 2: could get him. There's what's on the Christmas horizon with

461
00:24:36,080 --> 00:24:36,600
Speaker 2: tech mate.

462
00:24:36,800 --> 00:24:38,280
Speaker 3: I want to make up a bit of a list,

463
00:24:38,400 --> 00:24:40,679
Speaker 3: you know, give him that we're heading towards the season

464
00:24:40,720 --> 00:24:44,080
Speaker 3: and look and in case you felt like you wanted

465
00:24:44,119 --> 00:24:46,480
Speaker 3: to join that Joy's giving, I made up a list

466
00:24:46,480 --> 00:24:48,520
Speaker 3: of all the things that I would like that you

467
00:24:48,600 --> 00:24:51,719
Speaker 3: might put on your list together. The biggest thing on

468
00:24:51,760 --> 00:24:53,600
Speaker 3: my list at the moment, and I really would love

469
00:24:53,640 --> 00:24:56,320
Speaker 3: to get one, is the A one Anti gravity three

470
00:24:56,480 --> 00:24:59,760
Speaker 3: sixty drone. Now that's a bit of a mouthful. So

471
00:25:00,720 --> 00:25:03,760
Speaker 3: INSTA three sixty makes three sixty cameras. So their cameras

472
00:25:03,760 --> 00:25:06,159
Speaker 3: where you've got a lens on both sides of a

473
00:25:06,280 --> 00:25:09,520
Speaker 3: small camera and it sees a full three six sixty

474
00:25:09,560 --> 00:25:13,159
Speaker 3: spherical image. Now they've put this technology into a drone.

475
00:25:13,560 --> 00:25:15,119
Speaker 3: Not only have they put it on the drones. So

476
00:25:15,119 --> 00:25:18,040
Speaker 3: it means when you're flying the drone, it sees everything

477
00:25:18,080 --> 00:25:22,240
Speaker 3: around it from every angle, but you fly it wearing goggles.

478
00:25:22,920 --> 00:25:25,840
Speaker 3: You see from the drone's perspective. So imagine the drones

479
00:25:25,880 --> 00:25:28,840
Speaker 3: hovering above your house. You put the goggles on and

480
00:25:28,880 --> 00:25:31,280
Speaker 3: you look up and down, left and right. You're seeing

481
00:25:31,359 --> 00:25:35,040
Speaker 3: everything from the drones perspective. And the additional thing for me,

482
00:25:35,119 --> 00:25:38,040
Speaker 3: I've been flying remote control aircraft for years. They don't

483
00:25:38,040 --> 00:25:40,800
Speaker 3: have little joysticks, you know, the little thumbsticks. It's a

484
00:25:40,840 --> 00:25:44,320
Speaker 3: simple joystick that you're using and it's very intuitive. You

485
00:25:44,400 --> 00:25:47,639
Speaker 3: push it forward. And so they've combined a whole lot

486
00:25:47,640 --> 00:25:49,760
Speaker 3: of new tech with this drone. So that's what's got

487
00:25:49,880 --> 00:25:53,119
Speaker 3: me pretty excited. It takes eight K video, which is

488
00:25:53,200 --> 00:25:56,200
Speaker 3: really high quality video as well. But you are looking

489
00:25:56,240 --> 00:25:58,960
Speaker 3: at a starting price of around about twenty one twenty

490
00:25:59,000 --> 00:26:02,080
Speaker 3: two hundred dollars up to nearly three thousand dollars craigo.

491
00:26:02,600 --> 00:26:04,000
Speaker 1: But it is on the top of my list. I

492
00:26:04,040 --> 00:26:04,879
Speaker 1: just thought i'd mentioned that.

493
00:26:05,000 --> 00:26:07,879
Speaker 2: Oh, let me just jot that down in case I

494
00:26:07,920 --> 00:26:13,080
Speaker 2: win Tatsloto in the intervening week. I couldn't use that

495
00:26:13,119 --> 00:26:15,480
Speaker 2: in Hampton, though, right could.

496
00:26:16,000 --> 00:26:19,000
Speaker 3: You just can't fly it over people like who were

497
00:26:19,160 --> 00:26:21,000
Speaker 3: so you couldn't go over a sporting field where there

498
00:26:21,000 --> 00:26:23,520
Speaker 3: are people present. There are lots of rules and regulations

499
00:26:23,560 --> 00:26:26,919
Speaker 3: around the flying of drones that are dictated by the

500
00:26:26,960 --> 00:26:28,680
Speaker 3: Civil Aviation Safety Authority.

501
00:26:28,800 --> 00:26:30,959
Speaker 2: So could I fly it down Hampton the Street and

502
00:26:31,000 --> 00:26:32,880
Speaker 2: hover out the front of my cafe and see if

503
00:26:32,920 --> 00:26:33,919
Speaker 2: my table's free?

504
00:26:34,240 --> 00:26:37,760
Speaker 3: Probably not No, because there are cars and people and

505
00:26:37,800 --> 00:26:38,320
Speaker 3: stuff like that.

506
00:26:38,400 --> 00:26:40,920
Speaker 1: No, there are regulations around hey.

507
00:26:41,080 --> 00:26:43,000
Speaker 3: In fact, when you buy a drone in Australia, you

508
00:26:43,000 --> 00:26:46,480
Speaker 3: get an official document that comes from the CASSA, the

509
00:26:46,520 --> 00:26:49,480
Speaker 3: Civil Aviation Safety Authority, with what you can and can't do.

510
00:26:50,160 --> 00:26:51,360
Speaker 1: They take it pretty seriously.

511
00:26:52,960 --> 00:26:57,480
Speaker 2: So where should I never install a home security camera? Patrick?

512
00:26:57,920 --> 00:26:58,680
Speaker 1: Yeah, I thought this.

513
00:26:58,600 --> 00:27:01,480
Speaker 3: Is an interesting one to talk about because they're so

514
00:27:01,640 --> 00:27:05,439
Speaker 3: affordable now and easy to install a smart security camera.

515
00:27:05,680 --> 00:27:09,080
Speaker 3: But I think sometimes people don't realize. You know, they

516
00:27:09,119 --> 00:27:11,120
Speaker 3: put cameras up on their house, but it can see

517
00:27:11,119 --> 00:27:14,640
Speaker 3: into their neighbor's house. So you know, don't put them

518
00:27:14,680 --> 00:27:16,920
Speaker 3: on your property where you can look into the neighbor's property.

519
00:27:16,920 --> 00:27:18,600
Speaker 3: You're probably going to end up with a bit of

520
00:27:18,720 --> 00:27:20,080
Speaker 3: consternation from the neighbor.

521
00:27:21,040 --> 00:27:22,320
Speaker 1: Bathrooms and toilets.

522
00:27:22,400 --> 00:27:24,119
Speaker 3: You know, if you've got an airbnb, probably not a

523
00:27:24,119 --> 00:27:25,120
Speaker 3: good idea to put them in.

524
00:27:25,080 --> 00:27:27,320
Speaker 1: There any kind of shared space.

525
00:27:27,400 --> 00:27:29,760
Speaker 3: This is probably more obviously for people who live in

526
00:27:30,000 --> 00:27:33,199
Speaker 3: high density areas where they might have an apartment or so.

527
00:27:34,119 --> 00:27:36,080
Speaker 3: But even little things. If you're going to put a

528
00:27:36,080 --> 00:27:38,720
Speaker 3: security camera up, don't put it within reach. You know,

529
00:27:38,720 --> 00:27:40,560
Speaker 3: if someone walks up to the front door or comes

530
00:27:40,640 --> 00:27:42,159
Speaker 3: up behind it and they smash it off. So have

531
00:27:42,240 --> 00:27:44,760
Speaker 3: it higher than where they could potentially reach it. And

532
00:27:44,800 --> 00:27:47,360
Speaker 3: even when you're putting a camera up, be careful there's

533
00:27:47,400 --> 00:27:49,199
Speaker 3: nothing in front of it because it might obscure the

534
00:27:49,280 --> 00:27:50,880
Speaker 3: sensor that triggers it as well.

535
00:27:51,040 --> 00:27:52,720
Speaker 1: So just little things like that.

536
00:27:53,400 --> 00:27:55,439
Speaker 2: Can I say that if somebody is putting a camera

537
00:27:55,480 --> 00:27:58,360
Speaker 2: in a toilet or a bathroom, they're a sick Who

538
00:27:58,440 --> 00:28:01,639
Speaker 2: the fuck is doing that? Oh let's just watch dad

539
00:28:01,920 --> 00:28:06,520
Speaker 2: fucking back one out. I mean, that's that's just what

540
00:28:06,800 --> 00:28:09,480
Speaker 2: Charnie Jones snap one off and shoot one off to Warby.

541
00:28:09,760 --> 00:28:12,560
Speaker 2: Let's put a camera in the crapper, shall we? Fucking

542
00:28:12,960 --> 00:28:13,760
Speaker 2: who's doing that?

543
00:28:15,000 --> 00:28:16,679
Speaker 1: Yeah? No that If.

544
00:28:16,560 --> 00:28:19,280
Speaker 2: Somebody's putting cameras in there, they're no good.

545
00:28:21,440 --> 00:28:23,919
Speaker 3: Actually, I just I just got my delivery of my

546
00:28:24,040 --> 00:28:27,320
Speaker 3: new security camera yesterday, a new bathroom camera.

547
00:28:27,560 --> 00:28:28,400
Speaker 1: Yeah, exactly.

548
00:28:28,480 --> 00:28:30,439
Speaker 3: No, it's going to go for the it's from the

549
00:28:30,480 --> 00:28:32,679
Speaker 3: studio looking down the driveway, so I can tell them

550
00:28:32,720 --> 00:28:35,359
Speaker 3: people rock up. I thought that would be kind of handy,

551
00:28:35,400 --> 00:28:37,480
Speaker 3: and it's an outdoor camera as well.

552
00:28:38,040 --> 00:28:44,000
Speaker 2: Lithium ion battery suspected to have spark caroline springs, house fire.

553
00:28:44,480 --> 00:28:46,840
Speaker 1: These are ones that are blowing up all the time.

554
00:28:46,920 --> 00:28:50,080
Speaker 3: Now not blowing up all the time, but yes, there

555
00:28:50,120 --> 00:28:53,520
Speaker 3: is a propletity that can happen. I think, Look, it's

556
00:28:53,560 --> 00:28:55,240
Speaker 3: easy to get caught up in that. You know electric

557
00:28:55,280 --> 00:28:57,480
Speaker 3: cars are dangerous because they burst into flames. Well, I

558
00:28:57,520 --> 00:28:59,960
Speaker 3: think the thing is, yes, there was a house fire,

559
00:29:00,040 --> 00:29:03,000
Speaker 3: and in fact, I know someone personally whose parents had

560
00:29:03,000 --> 00:29:04,920
Speaker 3: an electric scooter that caught fire.

561
00:29:04,960 --> 00:29:06,240
Speaker 1: Their whole house burned out.

562
00:29:06,520 --> 00:29:08,600
Speaker 3: So it happened, and this is people who live in

563
00:29:08,640 --> 00:29:10,760
Speaker 3: the next suburb and one of my colleagues.

564
00:29:10,800 --> 00:29:12,960
Speaker 1: But the reality of it is it's got.

565
00:29:12,800 --> 00:29:17,360
Speaker 3: To a point where it's becoming worrying because the instances

566
00:29:17,400 --> 00:29:21,720
Speaker 3: of lithium ion batteries have increased, the fires related to that,

567
00:29:22,120 --> 00:29:25,080
Speaker 3: and also not just that. What's happening is a lot

568
00:29:25,080 --> 00:29:28,200
Speaker 3: of tips are catching fire because people are throwing them

569
00:29:28,200 --> 00:29:31,360
Speaker 3: in waste when they don't them, and they're swelling and

570
00:29:31,360 --> 00:29:33,160
Speaker 3: they're being jostled around. I mean that you've got to

571
00:29:33,160 --> 00:29:35,400
Speaker 3: be really careful if you drop a lithium ion battery

572
00:29:35,720 --> 00:29:37,480
Speaker 3: because it starts to blister.

573
00:29:37,320 --> 00:29:39,280
Speaker 1: Then it can cause those issues as well.

574
00:29:39,320 --> 00:29:42,400
Speaker 3: So the reality of it is this house fire and

575
00:29:42,520 --> 00:29:45,720
Speaker 3: you know we're seeing it happen more often. So fire

576
00:29:45,760 --> 00:29:48,480
Speaker 3: authorities here in Victoria have basically come out and said, look,

577
00:29:48,680 --> 00:29:51,320
Speaker 3: you've got to make sure that you buy lithium ion

578
00:29:51,320 --> 00:29:56,160
Speaker 3: batteries from reputable manufacturers, so make sure that it has

579
00:29:56,240 --> 00:29:57,960
Speaker 3: all the codes on the back of it so when

580
00:29:58,000 --> 00:30:00,840
Speaker 3: you look at the back of the product has been checked,

581
00:30:00,960 --> 00:30:04,280
Speaker 3: does it conform to Australian standards, all those sorts of things.

582
00:30:04,280 --> 00:30:06,280
Speaker 3: So it is a big issue and you're going to

583
00:30:06,280 --> 00:30:09,120
Speaker 3: see very shortly, within the matter of maybe six to

584
00:30:09,160 --> 00:30:11,640
Speaker 3: twelve months, you will not be able to bring a

585
00:30:11,680 --> 00:30:14,560
Speaker 3: power bank or you'll be very limited with those power

586
00:30:14,560 --> 00:30:17,120
Speaker 3: banks when you're traveling or get onto an aircraft. It's

587
00:30:17,120 --> 00:30:21,400
Speaker 3: become a really serious issue with power banks potentially catching

588
00:30:21,600 --> 00:30:24,360
Speaker 3: fire on an aircraft. As you can imagine, you know,

589
00:30:24,400 --> 00:30:26,480
Speaker 3: you can't really put them out. It's very difficult to

590
00:30:26,480 --> 00:30:27,800
Speaker 3: put them out, and.

591
00:30:27,680 --> 00:30:30,280
Speaker 1: I think I think someone's already done that.

592
00:30:30,360 --> 00:30:33,320
Speaker 2: I think I think one airline because that's been on

593
00:30:33,360 --> 00:30:36,280
Speaker 2: the news a bit lately with like fires in cabins.

594
00:30:37,440 --> 00:30:39,680
Speaker 1: But also, I mean, I'm with you.

595
00:30:39,720 --> 00:30:41,800
Speaker 2: I agree, I think it's really good advice, but I

596
00:30:41,840 --> 00:30:44,840
Speaker 2: also think the practical reality is, you know, when you

597
00:30:44,880 --> 00:30:47,240
Speaker 2: say you've got to check that the battery is from

598
00:30:47,280 --> 00:30:49,960
Speaker 2: a reputable this and that it complies with this, fuck,

599
00:30:50,040 --> 00:30:52,280
Speaker 2: the average person ain't going to do that. They're just

600
00:30:52,320 --> 00:30:55,280
Speaker 2: going to go and buy it. And you know so,

601
00:30:56,440 --> 00:30:59,280
Speaker 2: but I am interested, Sorry, I am interested in the

602
00:30:59,280 --> 00:31:03,920
Speaker 2: AI andable teddy Bear. It's been suspended after giving advice

603
00:31:04,000 --> 00:31:08,400
Speaker 2: on BDSM sex, where to find knives? Kind of fucking

604
00:31:08,440 --> 00:31:08,920
Speaker 2: teddy bear?

605
00:31:09,000 --> 00:31:09,440
Speaker 4: Is that? Bro?

606
00:31:09,960 --> 00:31:13,040
Speaker 3: This is this is really disturbing because there are tooks

607
00:31:13,040 --> 00:31:16,320
Speaker 3: coming out this Christmas that have AI integrated into them,

608
00:31:16,520 --> 00:31:19,280
Speaker 3: and the idea is that children form a relationship with

609
00:31:19,320 --> 00:31:19,600
Speaker 3: the toy.

610
00:31:19,640 --> 00:31:21,760
Speaker 1: They talked to the toy, the toy talks.

611
00:31:21,480 --> 00:31:23,840
Speaker 3: Back to them, and so it got a little bit

612
00:31:23,880 --> 00:31:27,920
Speaker 3: out of hand when this particular toy they found that

613
00:31:27,920 --> 00:31:30,560
Speaker 3: they didn't have the protections in place. So it's a

614
00:31:30,600 --> 00:31:34,000
Speaker 3: teddy bear that they kind of did some research on

615
00:31:34,040 --> 00:31:36,920
Speaker 3: and they realized you could start having pretty in depth conversations.

616
00:31:36,960 --> 00:31:39,719
Speaker 3: So it would tell you where to find a sharp knife.

617
00:31:40,160 --> 00:31:43,320
Speaker 3: You know and talk about Yeah exactly. I mean it

618
00:31:43,360 --> 00:31:47,320
Speaker 3: was called the follow toy, and according to CNN, the

619
00:31:47,360 --> 00:31:49,560
Speaker 3: company had to withdraw all of them, so it was

620
00:31:49,600 --> 00:31:53,080
Speaker 3: called the Kuma Bear. And they found that because the

621
00:31:53,080 --> 00:31:56,600
Speaker 3: thing is, people are developing these toy, these toys, but

622
00:31:56,800 --> 00:32:01,720
Speaker 3: they're then using AI integration, but they're not developing the

623
00:32:01,760 --> 00:32:05,400
Speaker 3: AI themselves, so they're using say chat GPT, they're buying

624
00:32:05,400 --> 00:32:09,080
Speaker 3: a license to integrate it into the bear, and that

625
00:32:09,200 --> 00:32:12,920
Speaker 3: toy then uses that large language model that's been developed

626
00:32:12,920 --> 00:32:15,640
Speaker 3: by a third party. So it seems like the safeguards

627
00:32:15,640 --> 00:32:18,080
Speaker 3: aren't always in place. They want to get this put

628
00:32:18,120 --> 00:32:19,920
Speaker 3: out and they want to rush it out there and

629
00:32:19,960 --> 00:32:22,080
Speaker 3: get it out. But the problem is that it kind

630
00:32:22,120 --> 00:32:24,880
Speaker 3: of again it leads you down that AI psychosis rabbit

631
00:32:24,920 --> 00:32:27,360
Speaker 3: hole where you start a conversation and it goes into

632
00:32:27,400 --> 00:32:29,840
Speaker 3: a direction you certainly don't want to be going with

633
00:32:29,920 --> 00:32:30,440
Speaker 3: a child.

634
00:32:31,320 --> 00:32:36,360
Speaker 2: Now, this next one excites me and terrifies me and

635
00:32:36,520 --> 00:32:41,959
Speaker 2: also makes me a bit suspicious. New tech called mind

636
00:32:42,080 --> 00:32:47,880
Speaker 2: captioning turns thoughts and mental images into simple text. So

637
00:32:49,400 --> 00:32:51,840
Speaker 2: my understanding of that is I can think something and

638
00:32:51,920 --> 00:32:52,920
Speaker 2: my computer.

639
00:32:52,640 --> 00:32:55,480
Speaker 1: Or my phone writes it. Is that is true.

640
00:32:55,920 --> 00:32:58,920
Speaker 3: Ultimately that's where they want to get. So six volunteers

641
00:32:59,160 --> 00:33:02,320
Speaker 3: were scanned and what they did was they put them

642
00:33:02,360 --> 00:33:06,880
Speaker 3: into an MRI or an fMRI and they and again

643
00:33:06,920 --> 00:33:10,640
Speaker 3: they're using AI to observe what happens in their brain

644
00:33:11,240 --> 00:33:14,760
Speaker 3: when they watch a number of video clips. So they

645
00:33:14,880 --> 00:33:18,120
Speaker 3: watch the clips being played out, the scanner records their

646
00:33:18,240 --> 00:33:22,720
Speaker 3: whole brain activity frame by frame, So this is something

647
00:33:22,800 --> 00:33:25,880
Speaker 3: a human can't do. That's where the AI integration comes in.

648
00:33:26,320 --> 00:33:29,200
Speaker 3: And then every time a clip comes up and the

649
00:33:29,280 --> 00:33:32,520
Speaker 3: caption related to that clip, they see what the brain

650
00:33:32,640 --> 00:33:36,360
Speaker 3: was doing at the time, and so effectively every person.

651
00:33:36,680 --> 00:33:39,360
Speaker 3: So when they put these six people through, they so

652
00:33:39,440 --> 00:33:41,640
Speaker 3: for example, it might be something like a man playing

653
00:33:41,680 --> 00:33:44,800
Speaker 3: a guitar on stage or a child padding a dog

654
00:33:44,920 --> 00:33:48,240
Speaker 3: in a yard, and the brain will look a bit

655
00:33:48,280 --> 00:33:52,280
Speaker 3: different when they're observing. And so this is not just

656
00:33:52,320 --> 00:33:55,960
Speaker 3: as simple as getting a concept like one word, we're talking.

657
00:33:56,320 --> 00:33:58,000
Speaker 1: Raisers is where they're getting.

658
00:33:58,360 --> 00:34:01,400
Speaker 3: You know, they're hoping to be with is so it

659
00:34:01,480 --> 00:34:06,560
Speaker 3: has it's fascinating to think that what you are thinking

660
00:34:06,600 --> 00:34:11,640
Speaker 3: about could be effectively predicted or be predictable, and that's

661
00:34:11,680 --> 00:34:13,799
Speaker 3: that's what really is exciting about this so I see

662
00:34:13,800 --> 00:34:17,680
Speaker 3: where you're coming from, because scanners and you know, someone

663
00:34:17,760 --> 00:34:18,560
Speaker 3: walks through.

664
00:34:18,800 --> 00:34:22,080
Speaker 1: You know wherever. It's like you know what, you know,

665
00:34:22,560 --> 00:34:25,160
Speaker 1: what was the truth detectors or light detectors?

666
00:34:25,239 --> 00:34:28,359
Speaker 3: You know you can imagine that steroids, isn't it is?

667
00:34:29,080 --> 00:34:30,200
Speaker 1: So in order for that?

668
00:34:30,360 --> 00:34:32,239
Speaker 2: Does that mean the person needs to wear some kind

669
00:34:32,280 --> 00:34:36,680
Speaker 2: of headset or there's a there's an implant or I

670
00:34:36,719 --> 00:34:39,120
Speaker 2: know this is in development, this is not here, but

671
00:34:39,600 --> 00:34:41,720
Speaker 2: what's the current thing that they're using?

672
00:34:41,800 --> 00:34:44,040
Speaker 1: Is it just like a bunch of electrodes?

673
00:34:44,760 --> 00:34:48,880
Speaker 3: Now this is a massive the magnetum so right right

674
00:34:49,000 --> 00:34:53,399
Speaker 3: right machine? Yeah, absolutely, sorry, it wasn't paying attention. Tell

675
00:34:53,400 --> 00:34:57,400
Speaker 3: me what smartphone pinky is. Look, I was reading an

676
00:34:57,480 --> 00:35:01,000
Speaker 3: article by a woman who was ta about the fact

677
00:35:01,080 --> 00:35:02,839
Speaker 3: that and if you think about it, when you grab

678
00:35:02,880 --> 00:35:05,080
Speaker 3: a phone, you just pick up your phone on your hand.

679
00:35:05,120 --> 00:35:06,960
Speaker 3: What do you do You support the bottom of the

680
00:35:07,000 --> 00:35:10,800
Speaker 3: phone with your little finger, so the your little finger

681
00:35:10,840 --> 00:35:13,040
Speaker 3: is taking the weight of the phone. And we had

682
00:35:13,040 --> 00:35:15,719
Speaker 3: an instance, you know, years ago where phones kind of

683
00:35:15,760 --> 00:35:18,920
Speaker 3: got slimmer and lighter, but now they're going the opposite way.

684
00:35:19,239 --> 00:35:23,400
Speaker 3: In fact, when I purchased my recent phone, the Pixel nine,

685
00:35:24,040 --> 00:35:26,239
Speaker 3: I had there was some really great sales on and

686
00:35:26,280 --> 00:35:29,480
Speaker 3: I could go for the next larger model for five

687
00:35:29,560 --> 00:35:30,840
Speaker 3: hundred dollars less.

688
00:35:30,880 --> 00:35:32,200
Speaker 1: So it was five hundred dollars.

689
00:35:31,920 --> 00:35:33,880
Speaker 3: Off and it was only going to cost me fifty

690
00:35:33,920 --> 00:35:36,120
Speaker 3: bucks to go to the larger screen size. And I

691
00:35:36,120 --> 00:35:38,200
Speaker 3: looked at I thought, that's way too heavy and way

692
00:35:38,200 --> 00:35:40,560
Speaker 3: too big. I don't want a phone that big. So

693
00:35:40,960 --> 00:35:43,880
Speaker 3: instead of you know, going the bonus for five hundred

694
00:35:43,880 --> 00:35:46,319
Speaker 3: dollars bonus for just fifty bucks, I didn't because it's

695
00:35:46,360 --> 00:35:48,799
Speaker 3: got too big. But the thing is that now we're

696
00:35:48,840 --> 00:35:52,200
Speaker 3: supporting our phone so much, people are starting to experience

697
00:35:52,440 --> 00:35:55,720
Speaker 3: joint pain in the first knuckle of their little finger.

698
00:35:56,280 --> 00:36:00,920
Speaker 3: So it's an observation, but it's something that are we

699
00:36:01,080 --> 00:36:01,799
Speaker 3: the most.

700
00:36:02,440 --> 00:36:06,360
Speaker 2: Have we the most physically weak, fucking version of humanity?

701
00:36:06,920 --> 00:36:10,240
Speaker 2: How fucking lame are we? Oh my god, my first

702
00:36:10,280 --> 00:36:13,480
Speaker 2: joint and my pinky finger from supporting my mobile device.

703
00:36:14,040 --> 00:36:17,319
Speaker 2: Oh quick, call the fucking physio. Quick, get me some

704
00:36:17,440 --> 00:36:22,279
Speaker 2: Voltaire and sandwiches. Fuck, because what is going on?

705
00:36:22,760 --> 00:36:25,759
Speaker 3: Don't worry if you won't even have a phone, you'll

706
00:36:25,800 --> 00:36:28,279
Speaker 3: just wear smart glasses and you'll just talk to them

707
00:36:28,440 --> 00:36:30,479
Speaker 3: and everything will be displayed in front of you.

708
00:36:30,480 --> 00:36:32,160
Speaker 1: You know, you'll have a smart glasses.

709
00:36:32,440 --> 00:36:34,920
Speaker 2: We won't even we won't even have bodies, will be

710
00:36:35,200 --> 00:36:38,400
Speaker 2: just brains in jars being fucking carried around a house

711
00:36:38,440 --> 00:36:39,560
Speaker 2: by a robot.

712
00:36:39,920 --> 00:36:41,319
Speaker 1: We'll just be We'll just.

713
00:36:41,200 --> 00:36:47,760
Speaker 2: Be interacting without talking, just fucking telepathic kind of relationships.

714
00:36:47,960 --> 00:36:52,360
Speaker 1: Right, the three of us inside our heads.

715
00:36:53,040 --> 00:36:56,920
Speaker 2: Oh god, it's like I'm enough of a nightmare, just

716
00:36:57,040 --> 00:36:59,840
Speaker 2: me in my head. I definitely don't want either of you,

717
00:37:00,000 --> 00:37:02,839
Speaker 2: two fucking idiots in my head, and you definitely don't

718
00:37:02,880 --> 00:37:07,920
Speaker 2: want me. Five hundred years later, scientists proved that Leonardo

719
00:37:08,000 --> 00:37:12,360
Speaker 2: da Vinci's bridge design works. I don't know about his

720
00:37:12,440 --> 00:37:15,280
Speaker 2: bridge design, but doing lightness Patrick.

721
00:37:15,120 --> 00:37:19,040
Speaker 3: Yeah, look, obviously I can't explain it exactly, but it's

722
00:37:19,239 --> 00:37:22,040
Speaker 3: so Leonardo da Vinci came up with a unique bridge design.

723
00:37:22,320 --> 00:37:24,160
Speaker 1: And the way I visualize.

724
00:37:23,600 --> 00:37:27,399
Speaker 3: It is if you imagine just a bridge over a river,

725
00:37:27,840 --> 00:37:30,879
Speaker 3: but it spans out and it gets wider on each end.

726
00:37:31,360 --> 00:37:35,200
Speaker 1: And what it seems is that this I think I know,

727
00:37:35,520 --> 00:37:37,239
Speaker 1: can I interrupt? Ye for sure?

728
00:37:37,680 --> 00:37:43,320
Speaker 2: Is this the one that's got like no actual struts

729
00:37:43,400 --> 00:37:45,600
Speaker 2: or upright supports? Wide?

730
00:37:46,520 --> 00:37:48,440
Speaker 3: Yeah, it gets wide at the ends and then it

731
00:37:48,480 --> 00:37:50,919
Speaker 3: curves in and then you've got the bridge support over

732
00:37:50,920 --> 00:37:52,799
Speaker 3: the center right right right.

733
00:37:53,120 --> 00:37:54,760
Speaker 1: So the thing is Leonardo da Vinci.

734
00:37:54,960 --> 00:37:57,960
Speaker 3: He designed this hypothetical bridge for the Sultan of the

735
00:37:57,960 --> 00:38:03,120
Speaker 3: Ottoman Empire, who said some idea. So first mistake he

736
00:38:03,239 --> 00:38:05,800
Speaker 3: thought it was no good. But then literally five hundred

737
00:38:05,880 --> 00:38:11,279
Speaker 3: years later or whatever, a team at MIT have recreated

738
00:38:11,280 --> 00:38:15,040
Speaker 3: the design with modeling and showed not only would it work,

739
00:38:15,280 --> 00:38:17,920
Speaker 3: but it'll actually be superior to a lot of other

740
00:38:17,960 --> 00:38:21,680
Speaker 3: bridges because you don't have that movement when in the wind,

741
00:38:21,680 --> 00:38:24,120
Speaker 3: because the wider a span of a bridge, they actually

742
00:38:24,160 --> 00:38:28,280
Speaker 3: physically are designed to move. But yeah, so like Leonardo

743
00:38:28,320 --> 00:38:31,360
Speaker 3: da Vinci blows my mind. There was a great exhibition

744
00:38:31,600 --> 00:38:35,480
Speaker 3: of his works, including some of his original codecs, in

745
00:38:35,560 --> 00:38:37,360
Speaker 3: Melbourne last year that I went to, and it just

746
00:38:37,880 --> 00:38:41,520
Speaker 3: literally blew my mind to see the amazing things that

747
00:38:41,560 --> 00:38:46,080
Speaker 3: he was able to conceive of. You know, submarine's aircraft phenomenal,

748
00:38:46,120 --> 00:38:47,640
Speaker 3: wasn't it so ahead of his time.

749
00:38:48,040 --> 00:38:51,280
Speaker 2: I remember when I was about ten or twelve seeing

750
00:38:52,320 --> 00:38:55,960
Speaker 2: a picture of a very rudimentary helicopter drawn by Leonardo

751
00:38:56,000 --> 00:38:59,799
Speaker 2: da Vinci, and I'm like, when was this drawn? And

752
00:38:59,840 --> 00:39:01,799
Speaker 2: I think I asked my teacher, and I don't know.

753
00:39:01,800 --> 00:39:04,799
Speaker 2: It was like fifteen something, you know, five hundred years ago,

754
00:39:05,000 --> 00:39:10,480
Speaker 2: like five centuries ago, when you know airplanes were still

755
00:39:10,520 --> 00:39:14,920
Speaker 2: four centuries away. This guy was designing helicopters and even

756
00:39:15,080 --> 00:39:16,080
Speaker 2: conceiving that.

757
00:39:15,920 --> 00:39:19,240
Speaker 1: That would be a thing. And then it's bloody amazing,

758
00:39:19,400 --> 00:39:19,759
Speaker 1: all right.

759
00:39:19,800 --> 00:39:23,960
Speaker 2: Australia Post warns that foreign giants are set to dominate

760
00:39:24,440 --> 00:39:27,600
Speaker 2: Australian online retail Do we need to panic?

761
00:39:28,440 --> 00:39:29,279
Speaker 1: Well, not so much.

762
00:39:29,680 --> 00:39:33,279
Speaker 3: I think this is an interesting one because we know

763
00:39:33,480 --> 00:39:36,920
Speaker 3: the cost of living has gone up and so people

764
00:39:36,960 --> 00:39:39,200
Speaker 3: are filling the pinch and it makes a lot of

765
00:39:39,239 --> 00:39:43,160
Speaker 3: sense that you're shopping around for the cheapest option. But

766
00:39:43,200 --> 00:39:46,400
Speaker 3: the problem is cheap can be exactly that. You know,

767
00:39:46,560 --> 00:39:49,000
Speaker 3: a friend of mine once said, the rich man buys

768
00:39:49,000 --> 00:39:52,000
Speaker 3: it once, the poor man buys it twice, and that,

769
00:39:52,320 --> 00:39:54,680
Speaker 3: unfortunately is the case with a lot of stuff that

770
00:39:54,680 --> 00:39:57,719
Speaker 3: you're buying off. Say some of the Chinese retailers like TMU,

771
00:39:58,120 --> 00:40:00,319
Speaker 3: you know where you jump on and you buy cheap

772
00:40:00,480 --> 00:40:04,520
Speaker 3: whatever it happens to be. So Amazon and Teamu, all

773
00:40:04,520 --> 00:40:08,400
Speaker 3: these online retailers, and now about I think it's about

774
00:40:08,400 --> 00:40:11,400
Speaker 3: twenty percent of online twenty to twenty five percent of

775
00:40:11,400 --> 00:40:15,960
Speaker 3: online purchasing. But the CEO of Australia Post, Paul Graham,

776
00:40:16,360 --> 00:40:19,319
Speaker 3: he's come out and said that these guys in the

777
00:40:19,360 --> 00:40:22,240
Speaker 3: next few years will have fifty percent of all purchasing

778
00:40:22,280 --> 00:40:25,840
Speaker 3: in Australia, which is going to mean all purchases including

779
00:40:25,960 --> 00:40:31,360
Speaker 3: retail outlets and online. And he's saying that effectively people,

780
00:40:31,480 --> 00:40:33,960
Speaker 3: this is a drug of the cheapest product, is what

781
00:40:34,040 --> 00:40:37,359
Speaker 3: he is saying, and that we're sh be promoting Australian

782
00:40:37,560 --> 00:40:40,719
Speaker 3: and people should be buying things locally and thinking in

783
00:40:40,760 --> 00:40:43,640
Speaker 3: those terms. You know, if you walk down say Hampton

784
00:40:43,719 --> 00:40:46,160
Speaker 3: Street or somewhere that's a shopping strip and you see

785
00:40:46,480 --> 00:40:49,279
Speaker 3: shops are closing, there's a reason for that because there's

786
00:40:49,320 --> 00:40:51,440
Speaker 3: no demand because people are buying it online.

787
00:40:51,520 --> 00:40:53,880
Speaker 1: It's a tough one. It's a really difficult one.

788
00:40:54,320 --> 00:40:56,960
Speaker 3: I guess when our CEO comes out and says you

789
00:40:57,000 --> 00:40:58,479
Speaker 3: should do this, most people one.

790
00:40:58,400 --> 00:41:01,880
Speaker 2: Hundred percent, especially when that's CEO, is that CEO is

791
00:41:01,920 --> 00:41:05,160
Speaker 2: probably on a million dollars a year telling people who

792
00:41:05,239 --> 00:41:08,400
Speaker 2: earn fuck or with five kids how they should.

793
00:41:08,160 --> 00:41:08,960
Speaker 1: Spend their money.

794
00:41:09,239 --> 00:41:12,320
Speaker 2: I'm like, hey, bro, get off your moral high horse

795
00:41:12,320 --> 00:41:14,600
Speaker 2: and just fucking run the company and let us figure

796
00:41:14,600 --> 00:41:16,320
Speaker 2: out what we'll do with our own money.

797
00:41:16,040 --> 00:41:17,200
Speaker 1: And how we'll spend it.

798
00:41:17,440 --> 00:41:20,520
Speaker 2: I don't think that's your job is to tell people

799
00:41:20,600 --> 00:41:22,880
Speaker 2: in suburbia how they should spend their money.

800
00:41:23,400 --> 00:41:27,239
Speaker 3: So because Australia Post gets the postage of all the

801
00:41:27,239 --> 00:41:30,799
Speaker 3: stuff that people are buying online, So yeah, that's the

802
00:41:30,840 --> 00:41:33,960
Speaker 3: issue anyway. But by twenty thirty is what they're predicting

803
00:41:34,040 --> 00:41:37,800
Speaker 3: that Amazon and those other online platforms will control fifty

804
00:41:37,840 --> 00:41:41,239
Speaker 3: percent of the online market in Australia.

805
00:41:41,320 --> 00:41:44,400
Speaker 2: And now social media companies are using data and AI

806
00:41:44,520 --> 00:41:48,400
Speaker 2: to figure out our age without us telling them and

807
00:41:48,480 --> 00:41:51,520
Speaker 2: without us even knowing that they're figuring that out.

808
00:41:51,719 --> 00:41:53,640
Speaker 3: Yeah, this has been really big because of the band

809
00:41:53,680 --> 00:41:56,839
Speaker 3: that came into effect this week for under sixteen's, and

810
00:41:56,920 --> 00:41:59,160
Speaker 3: we know that it's going to be a teething process

811
00:41:59,200 --> 00:42:01,960
Speaker 3: because there's been lots everyone's running the stories of all

812
00:42:02,000 --> 00:42:05,239
Speaker 3: the under sixteens who are able to fool the new

813
00:42:05,280 --> 00:42:08,359
Speaker 3: protections and some kids have been able to stay on

814
00:42:08,400 --> 00:42:11,760
Speaker 3: all those social medias when the band is now in place,

815
00:42:12,160 --> 00:42:14,000
Speaker 3: the reality of it is always.

816
00:42:13,719 --> 00:42:15,320
Speaker 1: Going to be smart kids. You know, there were fourteen

817
00:42:15,400 --> 00:42:16,840
Speaker 1: year olds that were scrunching.

818
00:42:16,440 --> 00:42:18,680
Speaker 3: Up their face to make them look older, like fourteen

819
00:42:18,719 --> 00:42:20,719
Speaker 3: year old boys, is you know, scrunching up their face

820
00:42:20,800 --> 00:42:23,240
Speaker 3: and they got through they're like, oh yeah, you're thirty

821
00:42:24,320 --> 00:42:27,120
Speaker 3: and young girls putting fake eyelashes on and putting a

822
00:42:27,120 --> 00:42:28,840
Speaker 3: bit of makeup on it. It's like, yeah, of course you

823
00:42:28,880 --> 00:42:32,919
Speaker 3: are twenty five. So it's going to take time. But interestingly,

824
00:42:33,360 --> 00:42:36,440
Speaker 3: there's a lot of other things that we do online

825
00:42:36,560 --> 00:42:40,480
Speaker 3: that leave what they call a behavioral fingerprints, and that's

826
00:42:40,520 --> 00:42:43,280
Speaker 3: how a lot of the AI models are kind of saying, well, okay,

827
00:42:43,320 --> 00:42:44,400
Speaker 3: this is Craig.

828
00:42:45,160 --> 00:42:47,000
Speaker 1: Your interaction patterns.

829
00:42:46,600 --> 00:42:49,400
Speaker 3: Like the posts that you like and follow the topics

830
00:42:49,400 --> 00:42:52,080
Speaker 3: and the genres that you prefer. You know, yes, you

831
00:42:52,120 --> 00:42:54,600
Speaker 3: watch two thousand and one a Space Odyssey, You're probably

832
00:42:54,640 --> 00:42:58,719
Speaker 3: not someone under the age of sixteen. How you scroll

833
00:42:58,920 --> 00:43:01,360
Speaker 3: what you slow down and speed up at so the

834
00:43:01,440 --> 00:43:04,600
Speaker 3: interest factor there, So it might be reminiscing about the

835
00:43:04,640 --> 00:43:07,279
Speaker 3: eighties and you pause on it because it shows a

836
00:43:07,360 --> 00:43:10,040
Speaker 3: DeLorean or something. You know, these are the things that

837
00:43:10,560 --> 00:43:14,600
Speaker 3: younger people will scroll past, but older people won't scroll

838
00:43:14,640 --> 00:43:17,680
Speaker 3: as quickly. They may even pause, So just that pausing

839
00:43:17,719 --> 00:43:20,040
Speaker 3: for a second, even if you don't read it, This

840
00:43:20,120 --> 00:43:23,920
Speaker 3: is frightening. How you know, these massive companies are able

841
00:43:24,000 --> 00:43:28,400
Speaker 3: to use these scary algorithms to type set.

842
00:43:28,280 --> 00:43:30,600
Speaker 1: You to know more about you.

843
00:43:30,600 --> 00:43:33,520
Speaker 3: You behavior is what you like, say you dislikes, and

844
00:43:33,560 --> 00:43:36,040
Speaker 3: it could be something simple as you know, woman in

845
00:43:36,120 --> 00:43:39,000
Speaker 3: bikini with brown hair, woman in bikini with blonde hair.

846
00:43:39,200 --> 00:43:41,360
Speaker 3: You pause over one and not over the other. Okay,

847
00:43:41,360 --> 00:43:45,400
Speaker 3: so Craig likes Brunette's. You know, literally, this is the algorithm,

848
00:43:45,400 --> 00:43:49,000
Speaker 3: and this is the technology that's being used to categorize

849
00:43:49,040 --> 00:43:51,000
Speaker 3: people who are using social media.

850
00:43:51,640 --> 00:43:56,840
Speaker 2: Wowser, wowsers, It's kind of yeah, it's an avalanche at

851
00:43:56,880 --> 00:43:59,880
Speaker 2: the moment. Now for Ron and Mary, my beautiful parents

852
00:44:00,040 --> 00:44:03,200
Speaker 2: who both can't hear, Patrick, we're scrolling down to the

853
00:44:03,280 --> 00:44:05,400
Speaker 2: health section just so you can keep up with me.

854
00:44:05,840 --> 00:44:08,360
Speaker 2: For Ron and Mary, who have got real trouble hearing,

855
00:44:08,840 --> 00:44:11,680
Speaker 2: it seems that you've got some medical advice for them

856
00:44:12,000 --> 00:44:13,080
Speaker 2: what they should use.

857
00:44:13,440 --> 00:44:14,880
Speaker 1: And this is going to have a whole lot of

858
00:44:14,920 --> 00:44:19,239
Speaker 1: health benefits right across. Hey, Tip, why do you hear this?

859
00:44:20,040 --> 00:44:25,919
Speaker 3: So evidently VIAGRAA reverses damage behind deafness.

860
00:44:26,280 --> 00:44:29,040
Speaker 2: Hey Ron, Hey Ron, I'll be up on the weekend.

861
00:44:29,280 --> 00:44:30,000
Speaker 2: Don't worry.

862
00:44:30,120 --> 00:44:34,840
Speaker 1: That helps blocked ears.

863
00:44:34,400 --> 00:44:39,879
Speaker 2: Now I've got I've got I've got periodic deafness. Yeah,

864
00:44:39,960 --> 00:44:42,480
Speaker 2: how he is? Now? Oh shit ouse, but my cock's

865
00:44:42,520 --> 00:44:45,839
Speaker 2: as hard as a rock. I still can't hear though, OK,

866
00:44:46,000 --> 00:44:47,080
Speaker 2: now that'd be my luck.

867
00:44:47,840 --> 00:44:50,359
Speaker 3: Well, we're talking about a serious form of deafness here,

868
00:44:50,400 --> 00:44:51,920
Speaker 3: craigo right.

869
00:44:53,440 --> 00:44:56,920
Speaker 2: Born with hearing loss. I'm sorry, sorry for not being serious.

870
00:44:56,960 --> 00:45:04,480
Speaker 2: Patrick Patrick's like, hey, pay attention. You wrote, you've.

871
00:45:04,320 --> 00:45:05,320
Speaker 1: Put it on the list.

872
00:45:05,640 --> 00:45:10,960
Speaker 2: It literally says biagra of reversus damage behind deafness, And

873
00:45:10,960 --> 00:45:12,640
Speaker 2: then what do you want me not to make fun

874
00:45:12,680 --> 00:45:13,000
Speaker 2: of that?

875
00:45:13,239 --> 00:45:15,879
Speaker 1: This is a win win all round. Good.

876
00:45:16,000 --> 00:45:20,319
Speaker 2: Yes, this is scientifically valid and also fucking hilarious and

877
00:45:20,520 --> 00:45:22,560
Speaker 2: also opened the door for a cock joke.

878
00:45:22,760 --> 00:45:25,480
Speaker 1: You're welcome. It's like the trifecta.

879
00:45:26,719 --> 00:45:31,680
Speaker 3: Yeah, well so this that's basically it. Yeah, that's great

880
00:45:31,719 --> 00:45:34,200
Speaker 3: that the viagra is having this multi purpose usage.

881
00:45:34,239 --> 00:45:36,800
Speaker 1: I think it's fantastic. I'm sorry for all the fluffers

882
00:45:36,840 --> 00:45:39,360
Speaker 1: who lost their job causation or correlation.

883
00:45:41,760 --> 00:45:46,479
Speaker 2: I don't know that's a good Patrick Patrick just said, Tiff,

884
00:45:46,640 --> 00:45:48,919
Speaker 2: I'm sorry for all the fluffers who lost their job.

885
00:45:48,960 --> 00:45:50,480
Speaker 1: Do you know do you know what a fluffer is?

886
00:45:50,600 --> 00:45:52,759
Speaker 4: Yes? Yes? Someone that yes?

887
00:45:55,000 --> 00:45:57,920
Speaker 2: Tell our tell our younger listeners what a fluffer is.

888
00:45:59,200 --> 00:46:01,120
Speaker 2: Just in light now younger listeners who are going, I

889
00:46:01,160 --> 00:46:02,480
Speaker 2: don't know what a fluffer is.

890
00:46:02,920 --> 00:46:06,600
Speaker 4: Someone whose job it is to make sure a person

891
00:46:06,680 --> 00:46:10,239
Speaker 4: is aptly prepared to perform.

892
00:46:09,840 --> 00:46:13,120
Speaker 1: What person in what context? For what job?

893
00:46:13,400 --> 00:46:15,799
Speaker 4: A bloke who needs to.

894
00:46:17,760 --> 00:46:19,520
Speaker 1: But what job? What job?

895
00:46:21,800 --> 00:46:25,360
Speaker 2: We're not talking about Brian and reservoir. Yes, it's in porn.

896
00:46:26,880 --> 00:46:28,719
Speaker 2: So there used to be there, used to be these

897
00:46:28,760 --> 00:46:32,120
Speaker 2: people and their job was just to get old mate

898
00:46:32,200 --> 00:46:36,320
Speaker 2: ready to go. But that person got replaced by a pill.

899
00:46:36,840 --> 00:46:41,080
Speaker 2: Talk about technology, imagine saying a pill took my.

900
00:46:41,160 --> 00:46:45,640
Speaker 1: Job, especially if you've had your own news skill.

901
00:46:46,239 --> 00:46:49,080
Speaker 3: Hey, what happens if that fluffer as he got older,

902
00:46:49,239 --> 00:46:51,840
Speaker 3: then goes death. It's like we can give you viagra.

903
00:46:52,080 --> 00:46:56,360
Speaker 3: No way, he stole my job. I'm not taking that. Sorry.

904
00:46:56,600 --> 00:46:59,920
Speaker 2: I don't think fluffers were boys, Patrick in the most part,

905
00:47:00,400 --> 00:47:02,200
Speaker 2: I guess, so I don't know that.

906
00:47:02,360 --> 00:47:04,520
Speaker 1: Maybe on your pawn that's.

907
00:47:04,320 --> 00:47:07,239
Speaker 2: Over here, over here, point.

908
00:47:09,000 --> 00:47:10,360
Speaker 1: That's so funny.

909
00:47:10,760 --> 00:47:15,600
Speaker 2: That's so funny. The US plans to order foreign tourists,

910
00:47:15,640 --> 00:47:19,759
Speaker 2: including Ozzies, to disclose social media histories.

911
00:47:19,920 --> 00:47:24,439
Speaker 3: What yes, forty countries around the world that are on

912
00:47:24,600 --> 00:47:28,280
Speaker 3: what they call visa exempt, so the visa exempt countries,

913
00:47:28,280 --> 00:47:31,799
Speaker 3: so Australians and New Zealands are included in that. Effectively,

914
00:47:32,160 --> 00:47:35,600
Speaker 3: you would have to when applying for a entry into

915
00:47:35,640 --> 00:47:38,960
Speaker 3: the US, you would have to disclose all of your

916
00:47:39,000 --> 00:47:41,560
Speaker 3: social media data since twenty nineteen.

917
00:47:42,640 --> 00:47:47,239
Speaker 2: Wow, this is a Trump initiative. Yep, how how do

918
00:47:47,320 --> 00:47:50,040
Speaker 2: we even Yeah, why do they need that? What can

919
00:47:50,040 --> 00:47:52,600
Speaker 2: they even like? There must be so many people coming in.

920
00:47:52,680 --> 00:47:55,480
Speaker 2: How on earth do they disseminate that this.

921
00:47:55,360 --> 00:47:56,720
Speaker 1: Is before you enter the country.

922
00:47:56,960 --> 00:47:59,800
Speaker 3: You've got to give them access to your social media

923
00:48:00,840 --> 00:48:03,320
Speaker 3: for five years before you can enter the country.

924
00:48:04,680 --> 00:48:05,840
Speaker 1: It only just came out.

925
00:48:05,640 --> 00:48:10,360
Speaker 3: Recently, and look, I don't even know how that would

926
00:48:10,480 --> 00:48:12,839
Speaker 3: work in terms of how you do it. But when

927
00:48:12,880 --> 00:48:18,000
Speaker 3: you make the tourist visa application, you know we are

928
00:48:18,080 --> 00:48:22,560
Speaker 3: visa exempt in Australia, but maying to get into the country,

929
00:48:22,600 --> 00:48:25,160
Speaker 3: you've got to basically say, because they're saying they want

930
00:48:25,200 --> 00:48:28,080
Speaker 3: to filter out people who may have had bad opinions

931
00:48:28,080 --> 00:48:30,960
Speaker 3: about the US, if you've said something bad about Donald Trump,

932
00:48:31,040 --> 00:48:34,080
Speaker 3: you couldn't effectively be kicked out or not allowed into

933
00:48:34,120 --> 00:48:34,640
Speaker 3: the country.

934
00:48:35,200 --> 00:48:38,560
Speaker 2: So much of a free speech now apparently if I'm

935
00:48:38,680 --> 00:48:42,960
Speaker 2: going to have an account with a password, I shouldn't

936
00:48:43,080 --> 00:48:47,120
Speaker 2: use admin ad M. I N I shouldn't use that

937
00:48:47,200 --> 00:48:49,320
Speaker 2: as my password. Who would have thought, Patrick?

938
00:48:49,520 --> 00:48:49,799
Speaker 1: I know?

939
00:48:49,960 --> 00:48:52,239
Speaker 3: Or if you happen to have a very famous art

940
00:48:52,280 --> 00:48:55,279
Speaker 3: gallery and you have security cameras, maybe not use the

941
00:48:55,320 --> 00:48:57,120
Speaker 3: word louve as.

942
00:48:57,000 --> 00:49:00,480
Speaker 1: Your password via security system. Is that true? Is that

943
00:49:00,520 --> 00:49:01,839
Speaker 1: what happened? No?

944
00:49:01,840 --> 00:49:04,280
Speaker 2: No, no, okay, because they just got robbed.

945
00:49:04,320 --> 00:49:07,880
Speaker 1: You're being funny. That's true, Look it up? Is it

946
00:49:07,920 --> 00:49:09,759
Speaker 1: actually true? Yeah?

947
00:49:09,880 --> 00:49:13,800
Speaker 3: Evidently an earlier password was louve with capital although.

948
00:49:14,040 --> 00:49:17,239
Speaker 2: It couldn't crook spell louve. That might have been if

949
00:49:17,280 --> 00:49:22,040
Speaker 2: they weren't friends, ye had probably not. Wow, I love

950
00:49:22,080 --> 00:49:26,839
Speaker 2: this one. A Sydney car theft was basically thwarted by

951
00:49:27,760 --> 00:49:29,799
Speaker 2: crooks who couldn't drive.

952
00:49:29,520 --> 00:49:31,439
Speaker 1: A manual I know, isn't that great?

953
00:49:31,480 --> 00:49:33,319
Speaker 3: So they tried to steal a car and then they

954
00:49:33,320 --> 00:49:34,680
Speaker 3: had to abandon it because they.

955
00:49:34,600 --> 00:49:37,359
Speaker 1: Didn't know drive a manual car.

956
00:49:38,080 --> 00:49:40,160
Speaker 2: That's the sign of the times, isn't it.

957
00:49:40,160 --> 00:49:42,160
Speaker 1: It's pretty hard to get a manual car these days.

958
00:49:42,200 --> 00:49:43,120
Speaker 1: It's not many on the market.

959
00:49:43,160 --> 00:49:45,640
Speaker 3: A friend of mine, who's an older woman in her seventies,

960
00:49:46,000 --> 00:49:49,760
Speaker 3: bought a bright fire engine red WRX because she wanted

961
00:49:49,800 --> 00:49:51,480
Speaker 3: to have a manual car and it was one of

962
00:49:51,480 --> 00:49:52,400
Speaker 3: the few on the market.

963
00:49:52,480 --> 00:49:54,000
Speaker 1: So now she's just this hoon.

964
00:49:54,840 --> 00:49:58,560
Speaker 3: Driving around the land a red w Hi Judy, if

965
00:49:58,560 --> 00:50:01,080
Speaker 3: you're listening, Hi Judy, Lady.

966
00:50:00,760 --> 00:50:01,960
Speaker 1: Bogan, I'm with you.

967
00:50:02,080 --> 00:50:04,560
Speaker 2: Duty. I've got a six speed manual. Best thing ever,

968
00:50:05,000 --> 00:50:08,560
Speaker 2: it's kind of driving automatic. I've got yeah, I've got

969
00:50:08,560 --> 00:50:11,120
Speaker 2: an automatic as well, but it's like it's kind of

970
00:50:12,320 --> 00:50:15,439
Speaker 2: I think, you know. I was listening to this guy

971
00:50:15,480 --> 00:50:18,200
Speaker 2: that you may or may not know called Stephen Bartlett Patrick.

972
00:50:18,239 --> 00:50:18,759
Speaker 1: Do you know him?

973
00:50:18,800 --> 00:50:20,719
Speaker 2: He has a very big podcast, one of the top

974
00:50:20,840 --> 00:50:25,239
Speaker 2: ten in the world called CEO of a Diary.

975
00:50:25,320 --> 00:50:26,680
Speaker 1: Sorry Diary of a CEO.

976
00:50:26,800 --> 00:50:31,759
Speaker 2: Sorry fuck, Come on, harps, how's your dyslexia? And he

977
00:50:31,880 --> 00:50:34,680
Speaker 2: was just talking about how he has two autonomous vehicles

978
00:50:34,880 --> 00:50:39,319
Speaker 2: and he's in LA. He doesn't drive anymore, so he

979
00:50:39,440 --> 00:50:41,719
Speaker 2: just goes and gets in his car, tells it or

980
00:50:41,760 --> 00:50:44,279
Speaker 2: whatever you do, program it, tell it where to take you.

981
00:50:45,080 --> 00:50:47,640
Speaker 2: Sits in the passenger seat or I don't know, maybe

982
00:50:47,640 --> 00:50:50,520
Speaker 2: the driver's seat, and it just takes him wherever he

983
00:50:50,560 --> 00:50:54,000
Speaker 2: wants to go. You'd be pretty comfortable with that. Wouldn't

984
00:50:54,040 --> 00:50:55,840
Speaker 2: you like I think you would like that?

985
00:50:56,120 --> 00:50:57,800
Speaker 1: Or am I wrong? Definitely?

986
00:50:57,840 --> 00:51:00,520
Speaker 3: If I was driving in Melbourne, I would I get

987
00:51:00,520 --> 00:51:02,720
Speaker 3: white knuckle. I've been living in the country for nearly

988
00:51:02,760 --> 00:51:05,640
Speaker 3: seventeen years. I get white knuckle driving in Melbourne. It's

989
00:51:05,680 --> 00:51:08,759
Speaker 3: awful traffic, people cutting you off, no one uses indicators.

990
00:51:09,000 --> 00:51:12,320
Speaker 1: Damn. I'd be going for an autonomous car much safer.

991
00:51:12,960 --> 00:51:15,560
Speaker 2: TIF if you had to choose for the next two years,

992
00:51:15,640 --> 00:51:20,080
Speaker 2: you can have an autonomous car and it'll drive you everywhere.

993
00:51:20,120 --> 00:51:22,160
Speaker 2: You've just got to get in it, or you've got

994
00:51:22,160 --> 00:51:24,920
Speaker 2: to drive yourself anywhere and needed to be one or

995
00:51:24,920 --> 00:51:25,279
Speaker 2: the other.

996
00:51:25,360 --> 00:51:26,320
Speaker 1: What would you choose?

997
00:51:27,920 --> 00:51:32,799
Speaker 4: I think once I tried it, like the idea of

998
00:51:32,840 --> 00:51:36,239
Speaker 4: it freaks me out, but then the idea of trusting it.

999
00:51:37,080 --> 00:51:40,000
Speaker 4: If I trusted it, yeah, hell yeah, but I would

1000
00:51:40,440 --> 00:51:42,719
Speaker 4: I would go weired it out by the idea of it.

1001
00:51:42,760 --> 00:51:44,480
Speaker 1: At first, for me, it.

1002
00:51:44,480 --> 00:51:47,160
Speaker 2: Just freeze up time, especially going to see ron A

1003
00:51:47,200 --> 00:51:47,839
Speaker 2: Marror every time.

1004
00:51:47,880 --> 00:51:48,720
Speaker 1: It's four hours.

1005
00:51:48,760 --> 00:51:51,120
Speaker 2: I'm like, well, I could sit in the back and

1006
00:51:51,120 --> 00:51:54,560
Speaker 2: do podcasts or have meetings or have a snoozy mac

1007
00:51:54,640 --> 00:51:57,880
Speaker 2: snoozeter or you know, I could do I could do

1008
00:51:57,960 --> 00:51:59,560
Speaker 2: what to make a casserole.

1009
00:52:00,280 --> 00:52:02,279
Speaker 1: I could do it on Well, I do that on

1010
00:52:02,320 --> 00:52:03,120
Speaker 1: the time.

1011
00:52:03,160 --> 00:52:05,520
Speaker 3: I'm going into Melbourne on Sunday morning, and I thought,

1012
00:52:05,680 --> 00:52:06,640
Speaker 3: I'm going to go in the city.

1013
00:52:06,640 --> 00:52:08,839
Speaker 1: Why would I drive? And then you got to worry

1014
00:52:08,880 --> 00:52:11,840
Speaker 1: about parking. Just jump on the train. So effectively the

1015
00:52:11,880 --> 00:52:12,520
Speaker 1: same thing.

1016
00:52:14,080 --> 00:52:17,360
Speaker 2: As well, well it effectively the same. I don't know

1017
00:52:17,440 --> 00:52:19,879
Speaker 2: that a train is the same as an autonomous car,

1018
00:52:19,960 --> 00:52:21,719
Speaker 2: but anyway, I'm not driving it.

1019
00:52:21,800 --> 00:52:22,960
Speaker 1: Someone else is driving it.

1020
00:52:23,680 --> 00:52:30,880
Speaker 2: Well, yeah you can, Patrick. Where can people find you, Patrick?

1021
00:52:30,920 --> 00:52:33,080
Speaker 2: And where can they get their website built and their

1022
00:52:33,120 --> 00:52:37,160
Speaker 2: social media pump and their brand accelerated? Where can they

1023
00:52:37,160 --> 00:52:37,759
Speaker 2: do all of that?

1024
00:52:38,160 --> 00:52:41,000
Speaker 3: You really think, on the strength of today's conversation, anybody's

1025
00:52:41,000 --> 00:52:44,280
Speaker 3: going to contact me. But anyway, it's it's websites now,

1026
00:52:44,360 --> 00:52:47,279
Speaker 3: dot com dot Au, websites now to com today you

1027
00:52:47,520 --> 00:52:49,640
Speaker 3: or ty shit at home dot com today you. I'm

1028
00:52:49,640 --> 00:52:52,280
Speaker 3: about to put some new training exercises on my channel

1029
00:52:52,280 --> 00:52:55,920
Speaker 3: that I haven't updated since COVID because my students have

1030
00:52:55,920 --> 00:52:58,040
Speaker 3: all said, we had our last class night last night,

1031
00:52:58,120 --> 00:53:00,560
Speaker 3: and so I've got to put some new X sizes

1032
00:53:00,600 --> 00:53:03,800
Speaker 3: and tight chi workouts for people over the holidays.

1033
00:53:04,080 --> 00:53:07,480
Speaker 2: Well, thank you, Patrick. Thank you, Tiffany and Cook. Have

1034
00:53:07,560 --> 00:53:10,920
Speaker 2: a good weekend, both of you. Quickly, tiff what are

1035
00:53:10,960 --> 00:53:11,840
Speaker 2: you doing on the weekend?

1036
00:53:11,960 --> 00:53:16,600
Speaker 4: Quickly, I'm about to head up to Gisbon today and

1037
00:53:17,640 --> 00:53:19,440
Speaker 4: be in the country for a couple of days.

1038
00:53:19,880 --> 00:53:22,640
Speaker 2: Oh really, Oh nice? What's in Gisbone?

1039
00:53:23,239 --> 00:53:24,440
Speaker 1: Is there something?

1040
00:53:24,960 --> 00:53:25,400
Speaker 2: Patrick?

1041
00:53:25,440 --> 00:53:26,160
Speaker 1: What are you doing?

1042
00:53:26,840 --> 00:53:30,480
Speaker 3: I have two choir performances with our local community choir.

1043
00:53:31,200 --> 00:53:33,360
Speaker 3: I've got a chee break up. I'm going to a

1044
00:53:33,440 --> 00:53:36,480
Speaker 3: vegan market in Melbourne. I'm going to dinner tonight with

1045
00:53:36,520 --> 00:53:38,919
Speaker 3: friends at the local pub. Man, I've got so much

1046
00:53:38,920 --> 00:53:40,800
Speaker 3: on this weekend I don't even know to stop.

1047
00:53:41,360 --> 00:53:47,799
Speaker 2: You just described my worst weekend ever. Thanks team, See

1048
00:53:47,840 --> 00:53:48,399
Speaker 2: you next time.