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Speaker 1: Patrick Jones, Binillo, Tiffany, and Cook. Welcome to another installment

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Speaker 1: the You Project. It's tech Friday. Well it's tech Friday

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Speaker 1: today for us, but you could be listening on Deck Tuesday.

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Speaker 1: How are you, mate?

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Speaker 2: I'm good.

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Speaker 3: I feel like saying happy birthday today, because happy birthday Microsoft.

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Speaker 3: Microsoft officially today is fifty years old.

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Speaker 1: Wow.

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Speaker 2: That's kind of older than tiff but younger than you

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Speaker 2: and me.

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Speaker 1: So Microsoft is who invented Microsoft.

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Speaker 2: I should know Bill Gates.

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Speaker 1: Oh, Bill Gates. I was going to for a moment

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Speaker 1: thought he was Apple. No, that was Steve Jobs.

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Speaker 2: It was Steve Job.

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Speaker 1: Sorry, I'm sorry, I'm not you. That's why we have you.

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Speaker 2: That's right. And Paul Allen.

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Speaker 3: They developed the software initial software in nineteen seventy five

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Speaker 3: for the l Tair eighty eight one hundred computer. But

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Speaker 3: the big thing was when they released MS DOS to

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Speaker 3: IBM in nineteen eighty and that was that was kind

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Speaker 3: of the way it went. But I think for most

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Speaker 3: people the rise of Windows and Office. So in nineteen

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Speaker 3: eighty five, Windows one point zero was launched and that

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Speaker 3: was to take on Apple, and then Microsoft Office came

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Speaker 3: out of nineteen eighty nine.

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Speaker 1: Are you an Apple person, either of you.

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Speaker 3: Two, I feel like you shouldn't be asking me this

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Speaker 3: question because you know that I'm very anti Apple.

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Speaker 2: No.

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Speaker 3: I don't like the way that Apple ecosystem kind of

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Speaker 3: locks you into everything.

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Speaker 2: So you know, if you.

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Speaker 3: Wanted to drag an MP three file or music file

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Speaker 3: onto your phone, you'd have to go through iTunes to

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Speaker 3: do it, whereas on a you know, an Android phone,

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Speaker 3: you know, you just drag and drop.

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Speaker 2: You plug it into your computer and you drag and

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Speaker 2: drop and it's there.

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Speaker 3: You don't have Yeah, so I'm a bit more of

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Speaker 3: a fan of an opening, open operating system that let

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Speaker 3: you do more than being locked into the ecosystem. But

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Speaker 3: the flip side to that is, you know, security on

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Speaker 3: the iPhones was always considered to be better. And I

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Speaker 3: remember there was a marketing campaign by Apple quite a

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Speaker 3: few years ago that said Apple computers don't get PC viruses.

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Speaker 2: You're right, they don't get PC viruses. They get Apple viruses.

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Speaker 3: But the reality is that, you know, Microsoft it has

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Speaker 3: been the dominant operating system, so more people use Windows

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Speaker 3: and use Office. It's used more in a corporate environment.

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Speaker 3: So you know, if you're going to write a computer virus.

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Speaker 3: You're going to write it for the most popular computer

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Speaker 3: system and operating system.

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Speaker 1: Yeah, if you don't have a Mac, I am PC.

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Speaker 2: Wow, and she used PC too, That's what I like

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Speaker 2: about TIF.

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Speaker 1: Well, we use PC and we are PC. I'm I'm

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Speaker 1: not PC. Let's be honest to go to PC classes. Melissa,

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Speaker 1: Melissa Cameron, she's the She's the fully indoctrinated church of

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Speaker 1: the Cult of the Apples. So she spent the last

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Speaker 1: ten years trying to get me to use a Mac. Yeah,

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Speaker 1: even to the point where she personally wants to buy

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Speaker 1: me one. I'm like, I don't want one, so old

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Speaker 1: school Windows Jumbo.

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Speaker 3: I think that it really comes down to what you

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Speaker 3: want to do with that device. You know, Mas are

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Speaker 3: really good at high end processing, and a lot of

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Speaker 3: the film industry uses Max, although it's kind of moving

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Speaker 3: now as well. What makes Apple a really interesting ecosystem

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Speaker 3: is if you want to use the Apple, you know

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Speaker 3: an environment, you have to buy an Apple device, Whereas

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Speaker 3: if you want to use Microsoft so you see, you

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Speaker 3: can buy a Dell Computing p you can buy a

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Speaker 3: proprietary computer build one.

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Speaker 2: You know.

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Speaker 3: That's the thing that makes it a lot more accessible

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Speaker 3: is because you're not locked into a single hardware provider,

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Speaker 3: and you know, an iPhone will probably tend to be

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Speaker 3: a lot more expensive for the same thing if you

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Speaker 3: look at a Samsung equivalent, I mean they're all coming

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Speaker 3: up in price now, the pixel, the Samsung, you know,

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Speaker 3: on the Android environment, it's really it's fit for purpose.

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Speaker 2: What are you going to do with.

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Speaker 3: If you're just going to read emails, you know, do

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Speaker 3: a little bit of typing, use chat jept, then you

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Speaker 3: could probably get a two hundred and fifty dollars Chromebook

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Speaker 3: and not need Microsoft or need to use Apple. You

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Speaker 3: could just get something a lot cheaper. Now, a lot

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Speaker 3: of schools went down that track to try to keep

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Speaker 3: expenses down. They use what they call a Chrome book.

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Speaker 3: Because if you're using an interface like Google's browser based interface,

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Speaker 3: you can you know, all the stuff that I send

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Speaker 3: to you, all those notes that I send to you,

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Speaker 3: I put them all directly into an online cloud based

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Speaker 3: word document that's actually not word it's just using Google Docs.

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Speaker 3: So it means then I can get access to that

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Speaker 3: on my phone wherever I am. So if I start

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Speaker 3: working on that two weeks ago, can be on anybody's computer,

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Speaker 3: log into my account and it's all there. So the

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Speaker 3: whole idea of cloud based processing and cloud based software

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Speaker 3: is what I think a lot of us are now.

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Speaker 2: Moving across to as well.

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Speaker 3: I use a graphic design package when I'm doing logos

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Speaker 3: and layouts called Correl Draw, and they've just launched their

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Speaker 3: browser based version, and that's pretty amazing because when you

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Speaker 3: think about it, if you wanted to do graphic design work,

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Speaker 3: and that's why Apple's are really good at that sort

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Speaker 3: of high end video editing, you would traditionally have to

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Speaker 3: buy a really expensive three and a half four and

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Speaker 3: a half thousand dollar laptop or desktop machine. But if

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Speaker 3: you're doing the graphic design online using something like Canva

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Speaker 3: or in this case this new release only recently in

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Speaker 3: the last week, Corell launched its own browser based soft

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Speaker 3: you can do high end graphic editing, but it's all

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Speaker 3: being processed at the other end, so you're just using

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Speaker 3: a web interface. You don't need to have the software

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Speaker 3: on your computer because you're just using your browser to

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Speaker 3: access the software.

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Speaker 1: Wow, that was a little bit over my head, but

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Speaker 1: I'll just go all right, how.

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Speaker 2: Did you go out of ten? Like? How much of

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Speaker 2: it do you reckon? That made sense.

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Speaker 4: I used to work in the design industry.

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Speaker 5: I used to be a bit Mac based back then

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Speaker 5: and use all of those What I did like about

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Speaker 5: the non you know when when you could just buy

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Speaker 5: the software and do it under a student and then

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Speaker 5: you had it forever and then, and now it's a

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Speaker 5: subscription based and you've got to pay for it all

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Speaker 5: the time.

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Speaker 3: I'm still using a really old version of Correll Draw

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Speaker 3: that's twelve years old.

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Speaker 2: It just does exactly what I needed to do.

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Speaker 3: And I just keep thinking, I'm already paying for the

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Speaker 3: Adobe Suite and it costs me every month, so I'm

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Speaker 3: not going to buy another one. But I only buy

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Speaker 3: the Adobe Sweet for my because he does a lot

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Speaker 3: of our video editing and a lot of that kind

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Speaker 3: of high end stuff because he's got a background in television,

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Speaker 3: so he videos, He does all the video ing and

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Speaker 3: edits all of that on you know, the more high

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Speaker 3: end computer, whereas me, I don't need that sort of.

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Speaker 2: Power to do all the editing.

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Speaker 3: He can do that in a daybe oldest years Correll

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Speaker 3: Draw twelve year old to Correl Draw, I've just to.

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Speaker 4: Make himself a coffee.

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Speaker 1: Yeah yeah, yeah, yeah, exactly. I was just going to

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Speaker 1: point out that I actually have a student card and

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Speaker 1: I can go and buy whatever it apple at a

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Speaker 1: student the world. When I walk in and flash that,

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Speaker 1: they're like, fuck off, did you steal this from your grandson?

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Speaker 4: Are you the principal of the school?

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Speaker 2: Yeah?

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Speaker 1: Yeah, Are you the dean of Monash University? Is your

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Speaker 1: driver outside? Yeah? That's hurtful. Speaking of driving, Patrick, let's

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Speaker 1: start our list. So I'm interested in self driving cars

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Speaker 1: in Australia, whether or not they are going to eventuate.

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Speaker 3: Tell us, well, what's your thought process on self driving cars?

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Speaker 3: First and foremost, do you feel like this is a

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Speaker 3: good way to go?

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Speaker 2: Is it going to be better?

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Speaker 3: Because when I drive into Melbourne and I get the

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Speaker 3: white knuckle driving because I'm not a good driver. I'm

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Speaker 3: a country driver. We don't even have any stop signs

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Speaker 3: in Milan. We just have give way signs to your

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Speaker 3: role of the intersection. Have a look left, have a

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Speaker 3: look right, keep going, there's no traffic lights.

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Speaker 2: I love that, But when I get to Melbourne.

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Speaker 3: I start to perspire a lot, and my white knuckle

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Speaker 3: driving kicks in and I get really apprehensive, and people

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Speaker 3: drive fast and they cut you off and you know,

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Speaker 3: I like to live a really big gap between me

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Speaker 3: and the car in front of me. So yes, I'm

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Speaker 3: the annoying person that does that when you're trying to

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Speaker 3: get to wherever you're going and want to be there

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Speaker 3: ten milliseconds earlier. But the reality of it is that,

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Speaker 3: you know, all the new technology that's going into cars

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Speaker 3: means that we're going to be safer on the roads,

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Speaker 3: you know, auto breaking, lane assist, all that sort of stuff.

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Speaker 3: But what's what's your take on that? Would you like

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Speaker 3: to be chaffeur driven by your AI Patrick?

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Speaker 1: I would be on that shit in a second. I

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Speaker 1: would sit in the passenger seat today. I mean, I

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Speaker 1: do like driving, by the way, but I think, and

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Speaker 1: I could be wrong, your honor. I think the chances

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Speaker 1: of old mate down the road who isn't paying attention

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Speaker 1: while he's behind the steering wheel of his Mazda him

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Speaker 1: crashing into me is far less is far more likely

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Speaker 1: than an autonomous car or a self driving car and

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Speaker 1: me being like, I think, could you imagine how much

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Speaker 1: testing they need to go through. It's already happening in California,

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Speaker 1: by the way, there's self driving cars and taxis. Yeah,

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Speaker 1: I would definitely do it. I would definitely do it.

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Speaker 1: And like think about when I go and visit Ron

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Speaker 1: and Mary, which is four hours of driving, God bless

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Speaker 1: their little socks. I could just sit in the back

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Speaker 1: new fucking meetings, or I could just snooze and then

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Speaker 1: an arm could come out and just gently rub my

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Speaker 1: back when I'm five minutes from their house and go

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Speaker 1: sweety sweety in Patrick's voice, Sweetie, get up, I'm like, ahuck, yeah,

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Speaker 1: just stretch my arms, get out and go and give

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Speaker 1: Mary a cuddle.

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Speaker 2: Boom. I'm worried about that electronic garment. What else it's

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Speaker 2: going to be used for?

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Speaker 5: Steady on?

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Speaker 2: Look, So I'm into that, I think.

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Speaker 3: And you know, for people, say who were riding motorbikes,

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Speaker 3: if you had a car that was able to sense

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Speaker 3: a bike rider behind them beside them, that would be

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Speaker 3: so much safer. You know, if you went to go

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Speaker 3: to the next lane and you knew there was a

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Speaker 3: motorbike there, then there's no chance because we know how

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Speaker 3: blind spots are so dangerous, and you know, an accident

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Speaker 3: on a motorbike has an exponential amount of injury compared

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Speaker 3: to having this big tin you know, traption around you

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Speaker 3: so I think it'd be great for bike riders because

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Speaker 3: other cars are autonomous.

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Speaker 1: Yeah, and think about also from when you think about

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Speaker 1: humans behind steering wells. Humans get tired, humans get distracted,

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Speaker 1: humans lose focus, humans get angry like that. None of

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Speaker 1: those things are issues with autonomous vehicles. Which is not

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Speaker 1: to say they're infallible or they can't. But I mean,

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Speaker 1: just as a me just answering the question, what about you, tip,

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Speaker 1: would you.

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Speaker 4: I think I would.

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Speaker 5: I think What just jumped into my head though, was

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Speaker 5: thinking of the motorcycles. Is there any scenario where a

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Speaker 5: self driving car could not react the way it needs

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Speaker 5: to if something comes up? So if a motorcycle cuts

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Speaker 5: a car off, can that car read all of the

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Speaker 5: cues it needs to to have the best outcome.

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Speaker 2: That's a good question.

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Speaker 3: And actually it's interesting because there's a researcher at monash

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Speaker 3: Uni by the name of Professor Stuart Russell, and he

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Speaker 3: did an article on Drive. He was interviewed on Drive

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Speaker 3: and what he's saying is AI is going to be

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Speaker 3: the biggest disruptor to road safety since the seat belt.

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Speaker 3: That's he's been quoted. And what he's saying is autonomous

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Speaker 3: technologies and whether it's a merging breaking real time hasard detection,

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Speaker 3: they're being tested right now. And because it's AI driven,

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Speaker 3: there's that learning component, that ability to be able to

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Speaker 3: adapt because when you've got cameras and a detection system,

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Speaker 3: and you know, the problem with a lot of that

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Speaker 3: is and I see this with my car, and we've

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Speaker 3: heard stories of where there may have been a misreading

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Speaker 3: of a sign.

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Speaker 2: You know, my car is pretty smart.

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Speaker 3: If I change into a different speed zone, it uses

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Speaker 3: either my GPS or some sort of character recognition to

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Speaker 3: work out what speed the sign is. But with an

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Speaker 3: AI backing to that, you're drawing on a much bigger

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Speaker 3: pool of data. So, in answer your question, TIF, if

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Speaker 3: you're using a much higher kind of integrated AI system,

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Speaker 3: then it's more likely to know how to adapt to

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Speaker 3: those situations when it encounters a motorbike, if a bike

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Speaker 3: rider comes in from middle lane and crosses over in front,

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Speaker 3: it may actually be better than just a pre programmed

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Speaker 3: system because it's always learning and always adapting.

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Speaker 1: And you think about the fact, sorry tip, that you

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Speaker 1: know dogs and cats and kids and soccer balls and

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Speaker 1: bikes push bikes. I mean, you know how many kids

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Speaker 1: are going to run across a road or chase the

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Speaker 1: ball or I mean, it's got to be it's got

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Speaker 1: to be programmed to deal with, you know, the unexpected

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Speaker 1: and the unplanned and the unforeseen. Otherwise it wouldn't be

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Speaker 1: functional because it's like a road is not a predictable environment,

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Speaker 1: So it's got to be able to deal with the

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Speaker 1: unpredictable potholes.

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Speaker 6: Yeah, Jeff, what if their computer controlled What about the

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Speaker 6: the idea that maybe one day then they can be

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Speaker 6: hacked or someone can hack and pre program.

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Speaker 4: The car and then cause a deliberate accident.

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Speaker 3: Well, that's a real that's actually a really good point

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Speaker 3: and a reality. But that's the case of everything. You know,

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Speaker 3: your temperature controlled thermostat that's connected to Google Home, or

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Speaker 3: the lights or you know, or the power grid that's

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Speaker 3: being run because there's an operating system that might be

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Speaker 3: connected to the Internet as well. It's really hard to know.

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Speaker 3: And I guess the burden is on the developers and

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Speaker 3: legislators to say, well, look, yes, we will allow this

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Speaker 3: to happen, but only if there's very strict guidelines and

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Speaker 3: prerequisites that are in place. We're scrambling at the moment.

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Speaker 3: We are way behind the eight ball with legislation. Legislation

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Speaker 3: is noing near catching up to what technology is being

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Speaker 3: rolled out of the moment, and so if you if

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Speaker 3: you reckon we're saved from hackers, we're not.

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Speaker 2: You know, one of the little stories I.

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Speaker 3: Was going to talk about later on in the show,

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Speaker 3: we can talk about it now is the hey mum texts.

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Speaker 3: You know, how people are faking getting access to the

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Speaker 3: numbers of children and grandchildren and then using AI to

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Speaker 3: replicate voices or to send a text and say, look,

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Speaker 3: I've just my phone's been damaged or I've dropped it

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Speaker 3: in the toilet, I've got a new number. I'm desperate

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Speaker 3: because I've got to make a payment on the house

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Speaker 3: and if I don't, they're going to kick me out

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Speaker 3: of the house. I don't know what to do, Mum,

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Speaker 3: Can you help me? You know, all those sorts of things,

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Speaker 3: not just the text because the text scam has been

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Speaker 3: around for a while and people are becoming more complacent

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Speaker 3: to it. You've heard about the hey mum texts? You Yeah,

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Speaker 3: so I think.

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Speaker 1: You've got to have They suggest that you have either

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Speaker 1: a like a code word patrick or a where your

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Speaker 1: text back can you go, by the way, when's your birthday?

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Speaker 2: Yeah?

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Speaker 3: Yep, yeah, But well the birthday thing may not be

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Speaker 3: a good one because at the end of the day,

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Speaker 3: it's a lot of us put so much onto social media.

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Speaker 3: If you've got a quick AI algorithm, it could just

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Speaker 3: scan tif social media and check out when her last

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Speaker 3: birthday was.

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Speaker 2: You know, it can be smart. That's the scary thing.

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Speaker 3: We give so much data away voluntarily that those sorts

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Speaker 3: of questions you really would have to think of something

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Speaker 3: you know quite you know, like I cut off my

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Speaker 3: nipple at a gym one day.

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Speaker 1: Yeah, well that's specific. By the way, what was that?

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Speaker 1: It makes me squirm when you bring that up.

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Speaker 2: To brig it up. Well, that's something that an AI

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Speaker 2: wouldn't know. But then again, if it listened to all

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Speaker 2: your podcasts.

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Speaker 1: Yeah, well you say, which which part of your body

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Speaker 1: did you cut off? Once? And it's never coming up

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Speaker 1: with nipple, is it. There's aboute percent of our audience going,

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

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Speaker 2: We're going to have to explain it, aren't we. Sorry

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Speaker 2: for those who have heard it before, Na, it's.

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Speaker 7: Always I need to know, all right, Well, I was

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Speaker 7: I was probably with not too much concentration.

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Speaker 1: Just I had the scissors out and I was just

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Speaker 1: giving myself a little bit of a curate around the

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Speaker 1: hairy chest region. And and I may or may not

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Speaker 1: have been fully concentrating. Cut off a few hairs around

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Speaker 1: the nipple region and just cut off sliced off the

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Speaker 1: end of my nipple like with scissors, but right off

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Speaker 1: about a millimeter of And fair to say that hurtled alots,

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Speaker 1: didn't Thanks for bringing that that little sucker blood Yeah, no,

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Speaker 1: thanks for bringing that up on International Bloody Podcast.

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Speaker 3: It humanizes your club crago, you know. Yeah, when people

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Speaker 3: do stupid things, you.

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Speaker 1: Don't think anyone in the world has got me on

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Speaker 1: a pedestal. I don't think there's one person listening to

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Speaker 1: this who thinks too highly of me.

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Speaker 2: I don't know they used to, they used up until now.

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Speaker 1: Why wood or wouldn't I let Tiff drink from my

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Speaker 1: water bottle? Why is that? At time?

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Speaker 3: And that was a question to you, would you let

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Speaker 3: Tiff drink from your water bottle? And I was going

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Speaker 3: to ask Tif the same question. So you take a

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Speaker 3: swig and then you hand it over or vice versa, which.

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Speaker 1: You drink a little bit older context. It's not really

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Speaker 1: about Tiff. It's just not something I generally do. But

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Speaker 1: if Tiff and I are out and we've just hyped

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Speaker 1: up Mount Casiosco and there's only one water bottle, well,

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Speaker 1: of course, but in general terms, and it's not about Tiff,

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Speaker 1: it's just you know, fucking girls germs do.

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Speaker 2: Though, I'm going to joke to death here. No, look,

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Speaker 2: it was kind of drawing a.

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Speaker 3: Really wide bow here because the actual story is more

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Speaker 3: basically focused on me and Tiff. And some vets have

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Speaker 3: started saying that you shouldn't let your dog drink from

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Speaker 3: communal dog bowls. You know, when you walk past cafes

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Speaker 3: and there's a bowl there, and they say you shouldn't

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Speaker 3: do that because there's all these things that dogs can

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Speaker 3: can actually catch. So for all the dog owners out there,

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Speaker 3: and I know it's got nothing to do with tech,

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Speaker 3: but in case you're a dog owner, I saw this

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Speaker 3: story and I just thought, you know, think again before

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Speaker 3: you do a shared dog.

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Speaker 1: Bowl, I reckon, before you worry about, you know, drinking

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Speaker 1: water from a bowl, maybe think about you know, not

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Speaker 1: licking your own balls. Maybe if we're worried about germs

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Speaker 1: and shit, let's start and snipping other dogs' asses. Let's

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Speaker 1: get our nose out of the Pooh region and then

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Speaker 1: let's worry about the communal water down the track. My dogs,

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Speaker 1: dogs are just they have their face in everything, all things,

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Speaker 1: germs all the time. Oh look, here's a dead awesome

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Speaker 1: I'll put that in my mouth.

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Speaker 3: You know, no one's asked me why I'm wearing a

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Speaker 3: pair of sunglasses on my head.

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Speaker 1: Well all right, tell us.

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Speaker 2: Well, I mean, I know backdrop looks like the beach,

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Speaker 2: but because.

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Speaker 1: You bought yourself some of those PERV glasses that video record.

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Speaker 2: And I borrowed the PERV glasses.

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Speaker 3: So when I was in Rome a few years ago

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Speaker 3: with some mates, two of them went into a sunglass

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Speaker 3: place and bought these sunglasses, which I mean, for all

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Speaker 3: intents and purposes, they.

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Speaker 2: Just look like normal sunnies, don't they.

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Speaker 1: I can see the little cameras top right and left

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Speaker 1: froy only because I'm looking though.

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Speaker 3: Yeah yeah, but really you wouldn't notice it. You can

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Speaker 3: take video and steal shots. And the reason I kind

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Speaker 3: of I brought them along so they're just so Tiff

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Speaker 3: could see them as well. Just the fact that they

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Speaker 3: just look like normal sunglasses. That the sides are a

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Speaker 3: little bit wider, a little bit thicker, but when you're

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Speaker 3: wearing them, you just wouldn't know. And it kind of

401
00:21:00,000 --> 00:21:04,119
Speaker 3: what raises the privacy think because Meta so the company

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Speaker 3: that owns Facebook, which always scares the but Jesus.

403
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Speaker 2: Out of me the things that they do.

404
00:21:07,720 --> 00:21:11,840
Speaker 3: But Meta has working on a thing called Hyperova glasses.

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Speaker 3: So this is the next iteration of these glasses. Now

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Speaker 3: they're going to come with a really big price tag,

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Speaker 3: but they're going to have the ability to have apps

408
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Speaker 3: and to be able to take high resolution video and

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Speaker 3: still shots, and they'll have a little mini screen that

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Speaker 3: projects on the inside of one of the glasses. So

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Speaker 3: what you'll eventually be able to do is you'll have

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Speaker 3: apps and you'll be able to swipe can you you know,

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Speaker 3: you can imagine seeing someone walking down the street and

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00:21:41,920 --> 00:21:44,919
Speaker 3: you think, oh, they're blowing a swiping a fly or something.

415
00:21:45,119 --> 00:21:47,080
Speaker 3: But what you'll be doing is you'll be controlling the

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Speaker 3: glasses just by hand movements. And look, Mark Zuckerberg is

417
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Speaker 3: kind of saying he wants to get rid of phones entirely.

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Speaker 2: You won't need phones.

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Speaker 3: You just have these glasses you put on and the

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Speaker 3: speakers will connect to them. So these things have speed

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Speaker 3: is in them. They're the ones that they're kind of

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Speaker 3: the bone conducting ones, Tiff the ones that I both use.

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Speaker 3: And so you know, you have everything in the glasses.

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Speaker 3: You don't have to worry about anything. You just check

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Speaker 3: them on and off you go. But what about the privacy.

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Speaker 3: I don't know that I would want every single person

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Speaker 3: walking past a park for example. You know, I do

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Speaker 3: a photo shoot for a client recently who wanted to

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Speaker 3: get some photos around town, and they wanted to showcase

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Speaker 3: some of the really nice things. And there's a new

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Speaker 3: water park that they've set up at the here in

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Speaker 3: Beland and it's been really done, very very well. But

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Speaker 3: I had problems getting there to take photos because they

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Speaker 3: kept being kids there. So I wanted to be there

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Speaker 3: when there was a time when there was no one around,

436
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Speaker 3: because I always feel self conscious. I didn't want to

437
00:22:44,760 --> 00:22:48,040
Speaker 3: take photos. And even though in a public place, the

438
00:22:48,119 --> 00:22:51,080
Speaker 3: legality is this, if you walk down the street with

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00:22:51,160 --> 00:22:54,200
Speaker 3: these ray bands and you take photos or video, you're

440
00:22:54,240 --> 00:22:58,480
Speaker 3: allowed to in a public place. You can take video

441
00:22:58,840 --> 00:23:02,040
Speaker 3: and take photograph uffs and it is not against the law.

442
00:23:02,720 --> 00:23:05,000
Speaker 1: Are you allowed to publish it? Though? Are you allowed

443
00:23:05,040 --> 00:23:06,400
Speaker 1: to put that online?

444
00:23:06,880 --> 00:23:07,679
Speaker 2: What's stopping you?

445
00:23:08,600 --> 00:23:10,600
Speaker 1: Well, I'm asking is it legal or illegal?

446
00:23:10,640 --> 00:23:12,280
Speaker 2: Well, it's not illegal, No, it's not illegal.

447
00:23:12,720 --> 00:23:15,000
Speaker 3: I mean if we're at a cafe and you just

448
00:23:15,040 --> 00:23:17,040
Speaker 3: take a photo of Tiff and there are three people

449
00:23:17,080 --> 00:23:19,520
Speaker 3: in the background, and you put it on social media,

450
00:23:19,560 --> 00:23:22,200
Speaker 3: your account, well you don't go over to those three

451
00:23:22,280 --> 00:23:24,320
Speaker 3: people and ask for their consent because they just happen

452
00:23:24,359 --> 00:23:27,840
Speaker 3: to be sitting at the table behind you. So there

453
00:23:27,880 --> 00:23:31,480
Speaker 3: are no laws stopping people from using these sorts of devices.

454
00:23:31,520 --> 00:23:33,479
Speaker 3: But the thing is, if I pick up my phone

455
00:23:33,720 --> 00:23:36,520
Speaker 3: or I pick up a camera, you know I'm taking

456
00:23:36,560 --> 00:23:41,119
Speaker 3: a photo. But with these sorts of glasses, they're so subtle. Admittedly,

457
00:23:41,119 --> 00:23:44,040
Speaker 3: when you're recording, there's a little tiny led that comes on.

458
00:23:44,119 --> 00:23:45,400
Speaker 2: It's a little white light.

459
00:23:46,000 --> 00:23:48,880
Speaker 3: But again, I guess a sharpie could just be painted

460
00:23:48,880 --> 00:23:51,680
Speaker 3: over if you wanted to. But when they bought them

461
00:23:51,720 --> 00:23:54,520
Speaker 3: when we were overseas, I just kind of immediately dubbed

462
00:23:54,560 --> 00:23:55,639
Speaker 3: them the PERV glasses.

463
00:23:56,160 --> 00:23:57,879
Speaker 2: But yeah, I don't know.

464
00:23:58,119 --> 00:24:00,600
Speaker 3: I don't and I certainly wouldn't want to record everything

465
00:24:00,640 --> 00:24:02,639
Speaker 3: I do every day as I'm walking around.

466
00:24:02,680 --> 00:24:03,439
Speaker 2: That'd be boring.

467
00:24:04,200 --> 00:24:07,320
Speaker 1: And I think also I mean, you know, Okay, so

468
00:24:07,440 --> 00:24:10,800
Speaker 1: let's say, by the way, I'm pretty sure Apple and

469
00:24:10,840 --> 00:24:14,560
Speaker 1: Samsung at OL are not too thrilled with his idea

470
00:24:14,600 --> 00:24:18,760
Speaker 1: about getting rid of phones. But I mean, it's not

471
00:24:18,880 --> 00:24:23,600
Speaker 1: like a phone is inconvenient, you know. It's like we've

472
00:24:23,600 --> 00:24:26,320
Speaker 1: got to get to the point where we go, Well,

473
00:24:26,600 --> 00:24:29,560
Speaker 1: most phones are pretty small. They've got a lot of capability.

474
00:24:30,800 --> 00:24:33,600
Speaker 1: You know. It's my diary, it's my tracker of my

475
00:24:33,680 --> 00:24:36,080
Speaker 1: this and that. It's all my apps, it's my appointments,

476
00:24:36,200 --> 00:24:40,639
Speaker 1: it's my musical EPI center, it's you know, like I

477
00:24:40,680 --> 00:24:42,480
Speaker 1: don't know that we need and I don't know that

478
00:24:42,520 --> 00:24:44,760
Speaker 1: I want to be perpetually wearing glasses?

479
00:24:45,160 --> 00:24:48,240
Speaker 2: Will you do anyway? You're wearing them now?

480
00:24:48,960 --> 00:24:52,760
Speaker 1: But I mean everyone, yeah.

481
00:24:52,000 --> 00:24:52,480
Speaker 2: I guess.

482
00:24:52,520 --> 00:24:54,520
Speaker 3: But from I mean, I can think of a couple

483
00:24:54,560 --> 00:24:56,359
Speaker 3: of instances where it would be great not to have

484
00:24:56,400 --> 00:24:58,199
Speaker 3: the phone on you and to have it all in

485
00:24:58,240 --> 00:25:01,200
Speaker 3: a pair of sonnies. You know, if you on the beach, ure,

486
00:25:01,240 --> 00:25:04,240
Speaker 3: if you're going to the gym and you you know,

487
00:25:04,359 --> 00:25:07,600
Speaker 3: you don't want to have the cumbersome phone with you,

488
00:25:07,920 --> 00:25:09,160
Speaker 3: then that that would make sense.

489
00:25:10,800 --> 00:25:13,280
Speaker 1: Maybe maybe Okay, here.

490
00:25:13,200 --> 00:25:16,040
Speaker 2: He's out, what do you reckon se phone. We're a

491
00:25:16,040 --> 00:25:18,320
Speaker 2: pair of sunglass.

492
00:25:18,640 --> 00:25:22,280
Speaker 1: I don't think all. I don't think every next thing

493
00:25:22,400 --> 00:25:23,880
Speaker 1: is necessarily a better thing.

494
00:25:24,240 --> 00:25:26,480
Speaker 2: Yeah yeah, I just think.

495
00:25:26,280 --> 00:25:28,640
Speaker 1: It's another thing, like is it going to make my life?

496
00:25:29,160 --> 00:25:32,919
Speaker 1: It's like my friend used to have a BMW in

497
00:25:32,960 --> 00:25:35,359
Speaker 1: the early It was like an eight years or something

498
00:25:35,400 --> 00:25:37,600
Speaker 1: like the Burger with the lot and it literally had

499
00:25:37,720 --> 00:25:41,720
Speaker 1: a remote control patrick like a tele remote control, but

500
00:25:41,800 --> 00:25:45,280
Speaker 1: little for the for the music and stuff. I'm like,

501
00:25:45,400 --> 00:25:49,520
Speaker 1: the buttons are six inches away, you know, I'm like,

502
00:25:49,720 --> 00:25:53,800
Speaker 1: just the most ridiculous, redundant thing of all time. Tell

503
00:25:53,840 --> 00:25:57,000
Speaker 1: me about perpetual April Fools jokes?

504
00:25:57,680 --> 00:26:01,120
Speaker 2: This is kind of cute. Do you do April Fools jokes?

505
00:26:01,440 --> 00:26:03,840
Speaker 3: The thing that gets me is, I mean I haven't

506
00:26:03,880 --> 00:26:05,840
Speaker 3: done them for a while, and in fact, I kind

507
00:26:05,840 --> 00:26:07,879
Speaker 3: of find that you've got to be careful with what

508
00:26:07,920 --> 00:26:10,480
Speaker 3: you do with April Fool's jokes because you know it

509
00:26:10,520 --> 00:26:13,000
Speaker 3: can be quite sensitive for people. But do you guys

510
00:26:13,000 --> 00:26:14,480
Speaker 3: have have you been the victim of or if you

511
00:26:14,520 --> 00:26:15,800
Speaker 3: ever done in April fools?

512
00:26:16,200 --> 00:26:21,760
Speaker 1: No, I've been a victim of. I mean, but to

513
00:26:21,800 --> 00:26:24,679
Speaker 1: this point, just quickly, I saw a really interesting and

514
00:26:24,720 --> 00:26:30,520
Speaker 1: this must have taken some courage and cheap. This lady

515
00:26:30,640 --> 00:26:34,240
Speaker 1: she was either a teacher or a principal of a school,

516
00:26:34,600 --> 00:26:36,800
Speaker 1: and she got all the year eleven students And I

517
00:26:36,800 --> 00:26:40,320
Speaker 1: saw this yesterday online at their school and they had

518
00:26:40,320 --> 00:26:43,919
Speaker 1: this like this meeting and she said and she basically

519
00:26:44,000 --> 00:26:46,840
Speaker 1: told them, so next year, twenty twenty six will be

520
00:26:46,880 --> 00:26:50,200
Speaker 1: their year twelve and they're graduating, right, And she said,

521
00:26:50,440 --> 00:26:52,639
Speaker 1: I've just learned that there's been a restructure of the

522
00:26:52,760 --> 00:26:57,920
Speaker 1: final year of whatever they call it VCE, and they

523
00:26:57,960 --> 00:27:00,760
Speaker 1: said there's now going to be a year thirteen and

524
00:27:01,440 --> 00:27:05,119
Speaker 1: it starts next year, so I know that you know,

525
00:27:05,720 --> 00:27:08,280
Speaker 1: moving forward, this is going to be the standard. And

526
00:27:08,359 --> 00:27:11,760
Speaker 1: unfortunately you guys are the first ones to deal with this,

527
00:27:11,880 --> 00:27:14,439
Speaker 1: but you'll now be graduating in twenty twenty seven, not

528
00:27:14,480 --> 00:27:18,719
Speaker 1: twenty twenty six. And they filmed all the kids and

529
00:27:18,920 --> 00:27:21,359
Speaker 1: it's like a private school. They're all well dressed, and

530
00:27:21,880 --> 00:27:25,919
Speaker 1: their kids are like, what the fuck, Like they've just

531
00:27:25,960 --> 00:27:28,480
Speaker 1: gone no, you're not finishing in a year, you're finishing

532
00:27:28,520 --> 00:27:31,040
Speaker 1: in two years. And it was all very official, and

533
00:27:31,080 --> 00:27:33,760
Speaker 1: they were all in an auditorium and it was all

534
00:27:33,800 --> 00:27:36,720
Speaker 1: and I'm like and then basically about two minutes later,

535
00:27:36,800 --> 00:27:39,800
Speaker 1: she goes nas sucked in. There's cameras around the room

536
00:27:39,840 --> 00:27:43,080
Speaker 1: filming you. But they all of them were in like,

537
00:27:43,160 --> 00:27:45,479
Speaker 1: no one went this as bullshit. They all thought it

538
00:27:45,520 --> 00:27:45,920
Speaker 1: was real.

539
00:27:46,880 --> 00:27:47,160
Speaker 8: Yeah.

540
00:27:47,560 --> 00:27:50,840
Speaker 3: Look, I've I've done a couple of April full jokes.

541
00:27:50,880 --> 00:27:53,680
Speaker 3: I don't mind doing them, but I've lessened that maybe

542
00:27:53,680 --> 00:27:57,720
Speaker 3: I grew up. Oh maybe not. I just haven't done them.

543
00:27:58,200 --> 00:28:00,960
Speaker 3: But there's a few tech companies and what I was

544
00:28:01,000 --> 00:28:05,080
Speaker 3: getting about getting back to with the perpetual April fool

545
00:28:05,160 --> 00:28:11,359
Speaker 3: jokes is when they get published online, then the joke

546
00:28:11,880 --> 00:28:15,959
Speaker 3: could appear in your feed three or four days later,

547
00:28:16,600 --> 00:28:19,000
Speaker 3: and that's where it starts to fall over. I mean,

548
00:28:19,200 --> 00:28:22,320
Speaker 3: companies should be like up for the day, then delete

549
00:28:22,359 --> 00:28:25,200
Speaker 3: the post. So to give you a great example, I

550
00:28:25,240 --> 00:28:29,560
Speaker 3: thought this was quite a good one. Adobe came out. Well,

551
00:28:29,600 --> 00:28:33,520
Speaker 3: there was a suggestion on April Fool's Day that Adobe

552
00:28:33,640 --> 00:28:37,919
Speaker 3: was going to charge people to have access to the

553
00:28:38,040 --> 00:28:41,600
Speaker 3: undo button. So when you're working in the Adobe Suite

554
00:28:41,640 --> 00:28:44,080
Speaker 3: and you make a mistake, you would have to pay

555
00:28:44,560 --> 00:28:47,360
Speaker 3: to have that feature. So it was an additional feature

556
00:28:47,400 --> 00:28:49,440
Speaker 3: that came with the paid version.

557
00:28:49,520 --> 00:28:51,560
Speaker 2: So there's a free version, but if you want the

558
00:28:51,680 --> 00:28:52,440
Speaker 2: undo button.

559
00:28:52,640 --> 00:28:56,040
Speaker 3: You've got to pay for the upgrade, which would give

560
00:28:56,080 --> 00:28:58,720
Speaker 3: you multiple undos.

561
00:28:58,960 --> 00:29:00,640
Speaker 2: I thought that was kind of fun. That was a

562
00:29:00,680 --> 00:29:02,280
Speaker 2: bit clever and cute.

563
00:29:02,640 --> 00:29:04,560
Speaker 3: The other one that I thought was really fun was

564
00:29:04,640 --> 00:29:08,440
Speaker 3: an AI dog translator. So you know they're talking about

565
00:29:08,440 --> 00:29:12,200
Speaker 3: AI translations for human beings, but now you can translate

566
00:29:12,360 --> 00:29:14,880
Speaker 3: your with your phone and you can talk to your dog.

567
00:29:15,000 --> 00:29:17,400
Speaker 3: So you say your command and then it barks that

568
00:29:17,480 --> 00:29:20,760
Speaker 3: the dog, and the dog understands you, and vice vice versa.

569
00:29:21,120 --> 00:29:23,000
Speaker 3: That was what I thought was good. But the other

570
00:29:23,040 --> 00:29:25,400
Speaker 3: one I thought was interesting talking about not being able

571
00:29:25,400 --> 00:29:27,720
Speaker 3: to speak the language is zoomers.

572
00:29:28,040 --> 00:29:29,160
Speaker 2: Do you know what a zoomer is?

573
00:29:31,040 --> 00:29:33,080
Speaker 1: No, alas reminds me of a boomer.

574
00:29:33,400 --> 00:29:35,400
Speaker 3: Yeah, well, I think that's the reason that they came

575
00:29:35,520 --> 00:29:38,400
Speaker 3: up with the idea of Zoomer. Basically is an informal

576
00:29:38,480 --> 00:29:41,240
Speaker 3: term for a member of Generation Z or Gen Z,

577
00:29:41,800 --> 00:29:44,840
Speaker 3: so anybody worn between the ninety nineties and early two thousands.

578
00:29:44,880 --> 00:29:47,800
Speaker 3: But now they're calling them zoomers, and again I think

579
00:29:47,800 --> 00:29:51,640
Speaker 3: that's a play on the boomer thing. There's a company

580
00:29:52,160 --> 00:29:54,960
Speaker 3: called Razor that does some pretty cool gadgets and bits

581
00:29:54,960 --> 00:29:58,680
Speaker 3: and pieces, keyboards, gaming equipment. They've come out with a skibbety.

582
00:29:59,160 --> 00:30:01,960
Speaker 3: Now the skibbity it was their April full joke. And

583
00:30:02,000 --> 00:30:04,360
Speaker 3: what it was it was a headset that you could

584
00:30:04,400 --> 00:30:07,720
Speaker 3: put on which was the world's first AI powered brain

585
00:30:08,080 --> 00:30:11,600
Speaker 3: rot translator, and it allowed parents to talk to their

586
00:30:11,720 --> 00:30:15,680
Speaker 3: kids and translate what their kids were saying, saying what

587
00:30:15,760 --> 00:30:20,040
Speaker 3: the Zoomers were saying into into real language. And they

588
00:30:20,120 --> 00:30:22,760
Speaker 3: even did put the translator on their website for the day,

589
00:30:23,120 --> 00:30:24,760
Speaker 3: which was kind of fine, a bit of a play

590
00:30:24,760 --> 00:30:28,120
Speaker 3: around with it because I have no idea you know,

591
00:30:28,240 --> 00:30:32,440
Speaker 3: what what gen Z's or gen Z's say, and they

592
00:30:32,480 --> 00:30:34,880
Speaker 3: have almost their own language when they talk to each other,

593
00:30:35,000 --> 00:30:36,320
Speaker 3: particularly the younger kids.

594
00:30:36,880 --> 00:30:39,080
Speaker 1: You sound like an old person.

595
00:30:38,720 --> 00:30:39,440
Speaker 2: Now I do.

596
00:30:40,880 --> 00:30:44,600
Speaker 1: Bloody Elvis presently came out gyrating his hips. My god,

597
00:30:45,280 --> 00:30:51,080
Speaker 1: it's the nation coming to with his provocative dancing. But

598
00:30:51,240 --> 00:30:53,840
Speaker 1: what would be very cool, especially for you two, is

599
00:30:54,360 --> 00:30:58,360
Speaker 1: imagine if I guess it could happen, but imagine if

600
00:30:58,400 --> 00:31:01,920
Speaker 1: they did develop a program or an app that interpreted

601
00:31:01,960 --> 00:31:05,520
Speaker 1: your dog and you could talk to it like literally.

602
00:31:05,600 --> 00:31:07,360
Speaker 1: I mean, I don't know if it would be the

603
00:31:07,440 --> 00:31:11,080
Speaker 1: equivalent of English, but how cool would that be if

604
00:31:11,120 --> 00:31:13,880
Speaker 1: you could, you know, have a conversation with your dog.

605
00:31:14,040 --> 00:31:16,320
Speaker 2: If what would you ask your dog? What's the one

606
00:31:16,600 --> 00:31:18,280
Speaker 2: question that you would ask?

607
00:31:18,400 --> 00:31:23,480
Speaker 5: Luna or I have full conversations with her, so I'd

608
00:31:23,520 --> 00:31:24,400
Speaker 5: just keep having them.

609
00:31:24,400 --> 00:31:26,480
Speaker 4: But yeah, i'd know the answers.

610
00:31:26,760 --> 00:31:30,120
Speaker 1: What if she understood you, though, and she could clearly

611
00:31:30,280 --> 00:31:34,160
Speaker 1: give you an answer to a question. That's a pretty

612
00:31:34,160 --> 00:31:36,960
Speaker 1: good question, Patrick, you know what i'd ask Tiff. I

613
00:31:37,040 --> 00:31:38,640
Speaker 1: think it's hard to answer, though.

614
00:31:38,920 --> 00:31:42,000
Speaker 3: I'd say to Fritz when I went visiting a friend

615
00:31:42,160 --> 00:31:45,560
Speaker 3: recently at her house, I would say to him, why

616
00:31:45,560 --> 00:31:49,560
Speaker 3: did you feel the need to piss in my friend's backyard?

617
00:31:49,760 --> 00:31:56,800
Speaker 3: Forty times? I counted, right, So Luna and Walter would

618
00:31:56,840 --> 00:32:00,400
Speaker 3: playing running around the backyard of a friend's place. And

619
00:32:00,440 --> 00:32:03,200
Speaker 3: what was Fritz doing. He was just lighting up and

620
00:32:03,440 --> 00:32:06,960
Speaker 3: market his territory. And I thought, you know, forty it

621
00:32:07,000 --> 00:32:07,520
Speaker 3: was over.

622
00:32:07,400 --> 00:32:10,640
Speaker 5: Forty Yeah, not exaggerating on the number it was for

623
00:32:10,840 --> 00:32:12,840
Speaker 5: it was forty times.

624
00:32:13,760 --> 00:32:17,040
Speaker 1: Well, wouldn't he just go? I was just letting everybody

625
00:32:17,080 --> 00:32:18,000
Speaker 1: know that that's mine.

626
00:32:18,760 --> 00:32:21,280
Speaker 2: Everything, everything was his.

627
00:32:21,920 --> 00:32:24,520
Speaker 3: In fact, none of us, we were all concerned about

628
00:32:24,520 --> 00:32:27,080
Speaker 3: sitting still for too long because I reckon you could.

629
00:32:27,000 --> 00:32:30,640
Speaker 2: End up being marked as well. It was outrageous, like

630
00:32:30,880 --> 00:32:32,280
Speaker 2: the Fritz.

631
00:32:32,680 --> 00:32:37,640
Speaker 1: Can I ask a veterinary question? Okay, has Fritz still

632
00:32:37,680 --> 00:32:39,560
Speaker 1: got his nads? No?

633
00:32:39,720 --> 00:32:41,400
Speaker 3: I got him when he was two and a half

634
00:32:41,440 --> 00:32:43,440
Speaker 3: and he'd already been for a visit to the vet.

635
00:32:43,760 --> 00:32:44,600
Speaker 2: So no, he doesn't.

636
00:32:45,000 --> 00:32:48,800
Speaker 1: Oh that that's because often I think that's more I've

637
00:32:48,800 --> 00:32:52,040
Speaker 1: got testicles and I'm a fucking alpha dog kind of behavior.

638
00:32:52,440 --> 00:32:52,720
Speaker 2: Nah.

639
00:32:52,840 --> 00:32:56,560
Speaker 3: No, I've had two boy dogs, both of whom had

640
00:32:56,800 --> 00:33:00,680
Speaker 3: no jets crackers, and they both lifted their legs. Although

641
00:33:00,680 --> 00:33:02,600
Speaker 3: Walter doesn't seem to do that now that I think

642
00:33:02,600 --> 00:33:05,160
Speaker 3: of it. The other whippet that we played with.

643
00:33:05,560 --> 00:33:06,760
Speaker 4: Lose it, does it a little bit?

644
00:33:07,280 --> 00:33:08,920
Speaker 2: I'll see. There you go. So that's good.

645
00:33:09,320 --> 00:33:14,280
Speaker 4: She's didy percent dude as well, like her mum.

646
00:33:16,040 --> 00:33:19,000
Speaker 5: Blocks of back up to a tree and kind of

647
00:33:19,040 --> 00:33:21,320
Speaker 5: cock one leg up and pretend she's a bloke for

648
00:33:21,400 --> 00:33:21,840
Speaker 5: a moment.

649
00:33:22,760 --> 00:33:27,360
Speaker 1: What that's hilarious? Patrick? Am I wasting characters when I type?

650
00:33:28,200 --> 00:33:30,200
Speaker 2: Look? Okay, I kind of wasn't sure.

651
00:33:30,440 --> 00:33:34,880
Speaker 3: I started writing this two weeks ago and I noticed

652
00:33:34,920 --> 00:33:37,760
Speaker 3: that I did something, and I started asking people if

653
00:33:37,800 --> 00:33:38,800
Speaker 3: they do the same thing.

654
00:33:39,280 --> 00:33:41,280
Speaker 2: So this is a very personal.

655
00:33:41,120 --> 00:33:43,160
Speaker 3: Weird trait that I have and I think it's a

656
00:33:43,160 --> 00:33:46,440
Speaker 3: bit OCD. So you know, when you're typing something out

657
00:33:46,760 --> 00:33:49,760
Speaker 3: and you realize you need to change a word, I

658
00:33:49,800 --> 00:33:51,920
Speaker 3: don't like to erase the whole word.

659
00:33:52,320 --> 00:33:54,560
Speaker 2: I like to just erase the characters.

660
00:33:54,160 --> 00:33:56,640
Speaker 3: I'm not going to use because I don't want to

661
00:33:56,640 --> 00:34:00,160
Speaker 3: waste the characters, and I didn't add the characters I

662
00:34:00,240 --> 00:34:01,320
Speaker 3: want to use.

663
00:34:02,160 --> 00:34:03,440
Speaker 2: Does that actually make sense?

664
00:34:04,080 --> 00:34:07,000
Speaker 1: I actually think that's That's a bit strange, isn't it.

665
00:34:07,320 --> 00:34:08,320
Speaker 1: You need some therapy.

666
00:34:08,600 --> 00:34:10,080
Speaker 3: I think there are other people who do it, because

667
00:34:10,120 --> 00:34:12,440
Speaker 3: I did ask around, and one person I spoke to

668
00:34:13,080 --> 00:34:15,520
Speaker 3: did say that they understood what I meant and that

669
00:34:15,160 --> 00:34:17,640
Speaker 3: that's what they do. I just feel bad for the

670
00:34:17,760 --> 00:34:19,320
Speaker 3: characters that are getting deleted.

671
00:34:20,480 --> 00:34:20,800
Speaker 2: Wow.

672
00:34:21,400 --> 00:34:24,120
Speaker 1: Wow, I can't believe you put that as a topic

673
00:34:24,239 --> 00:34:26,160
Speaker 1: on the list.

674
00:34:26,200 --> 00:34:28,040
Speaker 2: She used to know if anybody else does it?

675
00:34:28,120 --> 00:34:30,239
Speaker 1: Aw, Come on, you do that?

676
00:34:30,320 --> 00:34:31,439
Speaker 2: You've never thought about that?

677
00:34:31,440 --> 00:34:34,200
Speaker 3: That that poor word that you just typed out, and

678
00:34:34,480 --> 00:34:35,719
Speaker 3: now you're just going to delete it?

679
00:34:36,040 --> 00:34:38,799
Speaker 1: Are you anthropomorphizing letters very much?

680
00:34:39,680 --> 00:34:40,360
Speaker 2: And words?

681
00:34:41,000 --> 00:34:45,239
Speaker 1: Oh my god? Tell us why they're setting teslas on

682
00:34:45,360 --> 00:34:46,560
Speaker 1: fire in Rome?

683
00:34:47,400 --> 00:34:47,680
Speaker 2: Look?

684
00:34:48,160 --> 00:34:50,520
Speaker 1: This is not only Rome, by the way.

685
00:34:51,080 --> 00:34:55,560
Speaker 3: Yeah, no, I'm not shouldn't be laughing, because there's thought

686
00:34:55,560 --> 00:34:58,920
Speaker 3: that as many as seventeen Teslas were destroyed when a

687
00:34:58,960 --> 00:35:02,440
Speaker 3: fire broke out earlier this week, So depending on when

688
00:35:02,480 --> 00:35:04,200
Speaker 3: you're listening to this, but it wasn't that long ago

689
00:35:04,719 --> 00:35:09,040
Speaker 3: and they're investigating, but they do feel that it was

690
00:35:09,719 --> 00:35:12,800
Speaker 3: deliberately lit, which meant that it was a kind of

691
00:35:12,880 --> 00:35:14,880
Speaker 3: knee jerk reaction to what's going on in the United

692
00:35:14,920 --> 00:35:18,360
Speaker 3: States with Elon Musk and you and all.

693
00:35:18,320 --> 00:35:21,200
Speaker 2: The bad press that he's been getting.

694
00:35:22,000 --> 00:35:25,200
Speaker 3: And also I think that Elon Musk is mates with

695
00:35:25,280 --> 00:35:28,520
Speaker 3: the Italian Prime minister, so there's also because there was

696
00:35:28,520 --> 00:35:31,319
Speaker 3: some more vandalism in the town that the Italian Prime

697
00:35:31,400 --> 00:35:33,680
Speaker 3: Minister comes from, so I think that may have been

698
00:35:33,920 --> 00:35:36,480
Speaker 3: And yeah, I don't know what the backstory is, but

699
00:35:37,320 --> 00:35:40,239
Speaker 3: there's more and more of this going on. And I

700
00:35:40,320 --> 00:35:43,080
Speaker 3: kind of feel sorry for Tesla owners because when you

701
00:35:43,160 --> 00:35:45,600
Speaker 3: thought of a Tesla driver, you thought, what a greenie

702
00:35:45,600 --> 00:35:47,399
Speaker 3: good on your mate. You've gone and spent that much

703
00:35:47,440 --> 00:35:50,080
Speaker 3: money because you want to save the planet, and now

704
00:35:50,640 --> 00:35:54,239
Speaker 3: you know, I do feel for people who went out

705
00:35:54,280 --> 00:35:56,560
Speaker 3: and spent a lot of money buying an electric car,

706
00:35:56,640 --> 00:35:58,239
Speaker 3: think and they would doing the right thing, and now

707
00:35:58,239 --> 00:36:01,400
Speaker 3: they feel a bit maligned, a bit like I've got

708
00:36:01,440 --> 00:36:03,520
Speaker 3: two I should talk to.

709
00:36:03,480 --> 00:36:05,520
Speaker 2: Them about whether they feel embarrassed now.

710
00:36:06,320 --> 00:36:08,960
Speaker 1: Also, by the way, if you're going and committing a

711
00:36:09,000 --> 00:36:12,799
Speaker 1: criminal act and defacing someone's car or burning someone's car

712
00:36:13,080 --> 00:36:16,160
Speaker 1: is your version of protecting the planet, you're a fucking idiot.

713
00:36:16,520 --> 00:36:19,879
Speaker 3: Well I think that just a reaction to Elon must

714
00:36:19,960 --> 00:36:22,240
Speaker 3: know what I was saying is that Tesla drivers bought

715
00:36:22,239 --> 00:36:24,200
Speaker 3: their Teslas because they were saving the planet.

716
00:36:24,280 --> 00:36:24,839
Speaker 2: No, I know.

717
00:36:24,920 --> 00:36:27,480
Speaker 1: But what I'm saying is people are still going out.

718
00:36:27,840 --> 00:36:31,600
Speaker 1: I mean burning cars that people already have bought, or

719
00:36:31,680 --> 00:36:35,120
Speaker 1: cars in dealerships. I mean that's hurting a lot more

720
00:36:35,160 --> 00:36:39,280
Speaker 1: people than just Elon Musk. Like, that's a very slow

721
00:36:39,440 --> 00:36:42,040
Speaker 1: road to get to hurt Elon Musk if that's your

722
00:36:42,080 --> 00:36:44,880
Speaker 1: own goal, yeah, I mean a lot of other people

723
00:36:44,960 --> 00:36:45,959
Speaker 1: on the way.

724
00:36:46,640 --> 00:36:46,839
Speaker 2: Well.

725
00:36:46,840 --> 00:36:49,400
Speaker 3: Financially, all the thing is it just means insurances are

726
00:36:49,440 --> 00:36:52,480
Speaker 3: going to go up, and it has that overflow effect

727
00:36:52,560 --> 00:36:55,920
Speaker 3: to everybody. If suddenly, you know, Tesla's are being vandalized,

728
00:36:55,920 --> 00:36:58,400
Speaker 3: well they're going to be go back to the insurance

729
00:36:58,400 --> 00:37:01,319
Speaker 3: company and get them repaired, and as a consequence, all

730
00:37:01,360 --> 00:37:03,640
Speaker 3: their insurances are going to go up because They always

731
00:37:03,719 --> 00:37:04,680
Speaker 3: go up, don't they.

732
00:37:05,760 --> 00:37:07,759
Speaker 1: One of the one of the websites or one of

733
00:37:07,760 --> 00:37:12,879
Speaker 1: the services that has been of interest to me has

734
00:37:12,960 --> 00:37:15,600
Speaker 1: filed for bankruptcy, which is twenty three and Me, which

735
00:37:15,640 --> 00:37:18,839
Speaker 1: is there, like the genetic database, you find out who

736
00:37:18,880 --> 00:37:23,520
Speaker 1: your family tree and your lineage are. They're gone or.

737
00:37:23,520 --> 00:37:26,600
Speaker 3: They're going under, mate, they've gone under now they're they're gone.

738
00:37:26,680 --> 00:37:27,120
Speaker 2: They're gone.

739
00:37:27,400 --> 00:37:30,239
Speaker 3: And the concern now is what's going to happen to

740
00:37:30,360 --> 00:37:33,560
Speaker 3: the database because twenty three and Meter one of those

741
00:37:33,600 --> 00:37:37,480
Speaker 3: genetic text texters texters testers, that's right. So you do y,

742
00:37:37,640 --> 00:37:39,680
Speaker 3: spit in this test tube or whatever, and then you

743
00:37:39,719 --> 00:37:42,160
Speaker 3: send it off and they come back with whether you're

744
00:37:42,320 --> 00:37:45,400
Speaker 3: you know, half of Viking and the other half is

745
00:37:45,560 --> 00:37:47,800
Speaker 3: something else loves to be a Viking?

746
00:37:47,880 --> 00:37:49,320
Speaker 2: Would you yeah?

747
00:37:49,480 --> 00:37:50,319
Speaker 1: How good would that be?

748
00:37:51,160 --> 00:37:51,520
Speaker 2: Well?

749
00:37:51,800 --> 00:37:54,120
Speaker 3: Yeah, kind of, But I guess you've probably got more

750
00:37:54,200 --> 00:37:56,160
Speaker 3: chance of being a Viking than I have. I don't know,

751
00:37:56,520 --> 00:37:59,120
Speaker 3: but yes, it is kind of cool. And I think

752
00:37:59,160 --> 00:38:03,280
Speaker 3: when we get older we take more of an interest

753
00:38:03,320 --> 00:38:06,279
Speaker 3: in our ancestry. I certainly did you know. When I

754
00:38:06,320 --> 00:38:08,719
Speaker 3: was a kid, I couldn't give a rats. But as

755
00:38:08,760 --> 00:38:12,600
Speaker 3: I've traveled more and i've visited the country where my

756
00:38:12,719 --> 00:38:16,160
Speaker 3: parents came from, to Malta, and you know, you kind

757
00:38:16,200 --> 00:38:18,400
Speaker 3: of get impressed by the fact that's this little tiny

758
00:38:18,480 --> 00:38:21,760
Speaker 3: rock and the Mediterranean and so resilient. Over the years,

759
00:38:21,800 --> 00:38:24,239
Speaker 3: you know, people have tried to invade it, and the

760
00:38:24,360 --> 00:38:26,560
Speaker 3: Germans tried to bomb the crap out of it, as

761
00:38:26,560 --> 00:38:29,719
Speaker 3: did the Italians, and the fact that it withstood.

762
00:38:29,320 --> 00:38:32,960
Speaker 2: The might of you know, those evil powers.

763
00:38:33,239 --> 00:38:36,040
Speaker 3: You know, you do feel a sense of well, I

764
00:38:36,120 --> 00:38:38,040
Speaker 3: hope that resilience kind of rubs off a little bit.

765
00:38:38,120 --> 00:38:42,279
Speaker 3: But the concern with this is that there are millions

766
00:38:42,280 --> 00:38:47,239
Speaker 3: of people out there who have their genetic data that

767
00:38:47,400 --> 00:38:50,120
Speaker 3: now could potentially get sold off to a third party,

768
00:38:50,239 --> 00:38:52,319
Speaker 3: and there is no way of knowing what's going to

769
00:38:52,320 --> 00:38:54,400
Speaker 3: happen to it once it's gone.

770
00:38:54,560 --> 00:38:57,840
Speaker 1: Yeah, well that's concerning if do you know anything about

771
00:38:57,880 --> 00:39:02,960
Speaker 1: your lineage, anything about your your family tree or your

772
00:39:03,080 --> 00:39:04,120
Speaker 1: origin story.

773
00:39:04,719 --> 00:39:05,240
Speaker 2: Not really.

774
00:39:05,280 --> 00:39:08,320
Speaker 5: I think Dad, if I had a chat to Dad,

775
00:39:08,440 --> 00:39:11,760
Speaker 5: I think he did a bit of digging around recently.

776
00:39:11,960 --> 00:39:15,839
Speaker 1: So I think a lot of us Ossie's who've been

777
00:39:15,880 --> 00:39:18,879
Speaker 1: around here for a generation or two or three came

778
00:39:18,880 --> 00:39:23,320
Speaker 1: from England or Scotland or Ireland or I know my

779
00:39:24,360 --> 00:39:26,720
Speaker 1: on Mom's side, irish as fuck.

780
00:39:27,160 --> 00:39:34,600
Speaker 3: So you know tif Craig's family trees a cactus.

781
00:39:37,600 --> 00:39:38,759
Speaker 4: That was hurtful.

782
00:39:39,880 --> 00:39:41,359
Speaker 2: The thing, Jake, I could think of that.

783
00:39:42,640 --> 00:39:44,440
Speaker 1: Now, what I'm going to do is just going to

784
00:39:44,480 --> 00:39:51,000
Speaker 1: go okay.

785
00:39:48,640 --> 00:39:50,240
Speaker 2: And just die a little inside.

786
00:39:50,320 --> 00:39:52,239
Speaker 5: You know, I just thought of ron and Mary when

787
00:39:52,280 --> 00:39:53,640
Speaker 5: you said that.

788
00:39:52,880 --> 00:39:57,240
Speaker 3: I see, now you make me feel really bad teasing

789
00:39:57,280 --> 00:39:59,360
Speaker 3: Crago but Ronin, Yeah, they're lovely.

790
00:40:00,000 --> 00:40:01,640
Speaker 1: I think you made yourself feel bad.

791
00:40:02,560 --> 00:40:03,960
Speaker 2: Yeah, I did make myself feel bad.

792
00:40:05,640 --> 00:40:07,480
Speaker 1: All right, Well, I'm not going to respond to that

793
00:40:07,560 --> 00:40:09,200
Speaker 1: with similar energy.

794
00:40:09,239 --> 00:40:11,480
Speaker 2: I'm just that makes you the better man. It does.

795
00:40:11,600 --> 00:40:19,960
Speaker 1: I'm going to say thank you. Patrick. Tell me about

796
00:40:20,320 --> 00:40:26,040
Speaker 1: the Melbourne Animal Hospital trials or trials iPads for cats,

797
00:40:26,280 --> 00:40:28,680
Speaker 1: Like it's an interesting pology and cats.

798
00:40:29,320 --> 00:40:32,080
Speaker 3: Yeah, well, because we're trying to get kids off technology,

799
00:40:32,080 --> 00:40:37,720
Speaker 3: but let's put kittens on iPads. So the Lord Smith

800
00:40:37,760 --> 00:40:41,200
Speaker 3: Animal Hospital is doing a trial at the moment. So

801
00:40:41,239 --> 00:40:44,600
Speaker 3: it's got fifty cats and at their campbell Field adoption

802
00:40:44,760 --> 00:40:49,440
Speaker 3: center and what they're finding is obviously stimulating these cats

803
00:40:49,560 --> 00:40:51,799
Speaker 3: is really difficult when you've got lots of cats all

804
00:40:52,000 --> 00:40:54,680
Speaker 3: you know, waiting to be adopted and you can't spend

805
00:40:54,719 --> 00:40:57,040
Speaker 3: as much time as you need to with the animals.

806
00:40:57,080 --> 00:41:02,160
Speaker 3: So they're trialing out iPad with pictures with birds fluttering

807
00:41:02,200 --> 00:41:04,480
Speaker 3: around and all that sort of stuff, and it seems

808
00:41:04,520 --> 00:41:08,239
Speaker 3: like they're getting really good success with the animals being

809
00:41:08,320 --> 00:41:12,040
Speaker 3: less stressed because they're being you know, stimulated more, which

810
00:41:12,080 --> 00:41:13,880
Speaker 3: is really nice. But I thought that was kind of

811
00:41:13,880 --> 00:41:18,279
Speaker 3: interesting that they're putting iPads to good use. And you

812
00:41:18,320 --> 00:41:20,080
Speaker 3: wouldn't want to give one to Fritz because he'd piss

813
00:41:20,080 --> 00:41:23,719
Speaker 3: on it. But aside from that, I think for the

814
00:41:23,760 --> 00:41:25,160
Speaker 3: cats it's a great idea.

815
00:41:25,719 --> 00:41:27,400
Speaker 1: Can I ask you to a dog question?

816
00:41:28,360 --> 00:41:28,560
Speaker 2: Yep?

817
00:41:29,400 --> 00:41:32,360
Speaker 1: Well no, I think it's dog tech related, so it's

818
00:41:32,480 --> 00:41:36,120
Speaker 1: loosely related to what you talk can don't laugh at me?

819
00:41:36,160 --> 00:41:39,919
Speaker 1: This might be a stupid question because dogs don't see

820
00:41:39,960 --> 00:41:41,840
Speaker 1: the way we see, right, and they have a different

821
00:41:41,840 --> 00:41:45,160
Speaker 1: color spectrum and all of that. Can they see images

822
00:41:45,200 --> 00:41:46,360
Speaker 1: clearly on television?

823
00:41:48,120 --> 00:41:48,359
Speaker 2: Yeah?

824
00:41:48,480 --> 00:41:51,400
Speaker 1: Like do they see what we see? Because it seems

825
00:41:51,480 --> 00:41:56,759
Speaker 1: like you know when people dog crazy dog people kind

826
00:41:56,800 --> 00:41:59,560
Speaker 1: of call their dog call home and then they want

827
00:41:59,600 --> 00:42:03,000
Speaker 1: to talk to the dog on fucking FaceTime. The dog

828
00:42:03,040 --> 00:42:05,440
Speaker 1: doesn't know what the fuck's going on, does it.

829
00:42:05,640 --> 00:42:06,879
Speaker 2: Well, it's an interesting one.

830
00:42:07,560 --> 00:42:09,760
Speaker 3: I know that I don't know about Luna, but Fritz

831
00:42:09,800 --> 00:42:13,560
Speaker 3: doesn't seem to react at all to what's going on

832
00:42:13,560 --> 00:42:16,759
Speaker 3: on the screen, more so to the sound if there's

833
00:42:16,800 --> 00:42:20,719
Speaker 3: a combulence goes past, because he'll start howling. If he

834
00:42:20,719 --> 00:42:23,399
Speaker 3: hears an ambulance or a police scar, his ears break

835
00:42:23,520 --> 00:42:26,439
Speaker 3: up at the sound. I mean, they can see, and

836
00:42:27,400 --> 00:42:30,439
Speaker 3: you know, sometimes people turn TVs on to keep their

837
00:42:30,560 --> 00:42:32,160
Speaker 3: dogs company when they're not home.

838
00:42:33,040 --> 00:42:34,920
Speaker 2: Does Luna react at all, tiff.

839
00:42:35,160 --> 00:42:37,400
Speaker 5: No, but sometimes if I would turn the TV and

840
00:42:37,440 --> 00:42:41,000
Speaker 5: watch it, there sits on the bench in front of

841
00:42:41,040 --> 00:42:43,719
Speaker 5: the TV and then tries to bat things that she

842
00:42:43,840 --> 00:42:44,680
Speaker 5: can see on the TV.

843
00:42:44,719 --> 00:42:47,600
Speaker 4: That's really annoying. Oh, he responds to it.

844
00:42:48,080 --> 00:42:49,640
Speaker 2: Yeah.

845
00:42:49,960 --> 00:42:53,200
Speaker 3: I think it depends on the animal, but it certainly

846
00:42:53,760 --> 00:42:57,840
Speaker 3: dogs see the world mostly through their noses because they

847
00:42:57,920 --> 00:42:59,480
Speaker 3: have an amazing sense of smell.

848
00:43:00,880 --> 00:43:02,960
Speaker 2: But that said, they do have good vision. You know,

849
00:43:03,000 --> 00:43:04,319
Speaker 2: most dogs have reasonable vision.

850
00:43:04,360 --> 00:43:06,040
Speaker 3: I think they would have no problem seeing a TV

851
00:43:06,120 --> 00:43:08,840
Speaker 3: screen and what's going on. Maybe they're just not fooled

852
00:43:08,880 --> 00:43:12,200
Speaker 3: because of the depth perception thing, you know, because it's

853
00:43:12,239 --> 00:43:14,080
Speaker 3: a flat screen and things are there.

854
00:43:14,440 --> 00:43:14,880
Speaker 2: I don't know.

855
00:43:14,920 --> 00:43:17,719
Speaker 3: Maybe they because it's not in three D maybe you

856
00:43:17,719 --> 00:43:20,240
Speaker 3: need to get three D glasses and then dry luder

857
00:43:20,640 --> 00:43:24,680
Speaker 3: and see if see if you.

858
00:43:23,960 --> 00:43:26,400
Speaker 4: Then they would know because the smell anyway.

859
00:43:26,440 --> 00:43:36,320
Speaker 8: Yeahsion, Oh sorry, Weed, that was quite funny.

860
00:43:36,719 --> 00:43:38,719
Speaker 2: That was a thing TIF that smell of Vision was

861
00:43:38,719 --> 00:43:43,000
Speaker 2: a theme. What you don't know about smell vision? Oh no,

862
00:43:43,120 --> 00:43:44,200
Speaker 2: it was a marketing thing.

863
00:43:44,239 --> 00:43:46,640
Speaker 3: And what would happen is you get a coupon in

864
00:43:46,680 --> 00:43:49,680
Speaker 3: the mail and at certain times during the program you

865
00:43:49,719 --> 00:43:52,880
Speaker 3: were watching, you scratched it like a scratchy ticket and

866
00:43:52,920 --> 00:43:55,680
Speaker 3: it would have a smell. It was smell of Vision.

867
00:43:57,560 --> 00:44:00,719
Speaker 4: Wow, we've come a long way.

868
00:44:01,800 --> 00:44:05,480
Speaker 1: Patrick, Yeah, tell me, tell me what Studio Ghibli is.

869
00:44:06,080 --> 00:44:09,720
Speaker 2: Oh, okay, so have you. It's an amazing.

870
00:44:10,840 --> 00:44:16,480
Speaker 3: You know cartoon production company in Japan that it's probably

871
00:44:16,960 --> 00:44:20,200
Speaker 3: best known for movies like Spirited Away, but they have

872
00:44:20,320 --> 00:44:28,160
Speaker 3: this most unique way of presenting movies in animations in

873
00:44:28,200 --> 00:44:32,640
Speaker 3: a most beautiful way. So this style is really really,

874
00:44:32,719 --> 00:44:36,479
Speaker 3: really specific to this particular production house. They've put out,

875
00:44:36,880 --> 00:44:39,560
Speaker 3: you know, dozens and dozens of these movies over the

876
00:44:39,680 --> 00:44:43,400
Speaker 3: year and they are magical to watch. You know, Studio

877
00:44:43,480 --> 00:44:47,439
Speaker 3: Ghibli is renowned and now chat GBT has come out

878
00:44:47,440 --> 00:44:52,520
Speaker 3: with this effectively Studio Ghibli generator where you can upload

879
00:44:52,520 --> 00:44:55,080
Speaker 3: a photo of your cat or Craig sitting at a

880
00:44:55,080 --> 00:45:00,520
Speaker 3: cafe and it will mimic the style of the Studio gibly,

881
00:45:01,200 --> 00:45:04,200
Speaker 3: you know, cartoon. And what you've got to realize too

882
00:45:04,200 --> 00:45:09,279
Speaker 3: with Studio Ghibli is every scene is hand made, hand painted, right,

883
00:45:09,360 --> 00:45:16,319
Speaker 3: so all their cartoons are meticulously crafted. These are individual

884
00:45:16,360 --> 00:45:18,600
Speaker 3: works of art that then get turned into a movie.

885
00:45:18,880 --> 00:45:22,759
Speaker 3: And this is where it's become really interesting because even

886
00:45:22,840 --> 00:45:27,840
Speaker 3: though they're doing these AI copies of these cartoon style,

887
00:45:28,719 --> 00:45:30,759
Speaker 3: there seems to be just a little bit of a

888
00:45:30,760 --> 00:45:33,240
Speaker 3: little bit missing and it's intangible.

889
00:45:33,400 --> 00:45:33,600
Speaker 2: You know.

890
00:45:33,640 --> 00:45:35,719
Speaker 3: You look at them and you think, oh, yeah, it

891
00:45:35,800 --> 00:45:39,000
Speaker 3: could be, but it seems to be lacking. And I

892
00:45:39,080 --> 00:45:41,680
Speaker 3: reckon there's going to be a pushback to this, you know,

893
00:45:41,800 --> 00:45:44,319
Speaker 3: I would love to know. I mean, I don't have

894
00:45:44,680 --> 00:45:47,720
Speaker 3: lots of expensive art work, but I've been really lucky

895
00:45:47,760 --> 00:45:50,359
Speaker 3: over the years that friends have gifted me paintings that

896
00:45:50,400 --> 00:45:53,879
Speaker 3: they've made. Your father, does you know your dad made

897
00:45:53,880 --> 00:45:57,200
Speaker 3: some amazing ron was great at painting, you know, he

898
00:45:57,280 --> 00:45:58,960
Speaker 3: picked up painting later in life, didn't it.

899
00:46:00,880 --> 00:46:01,080
Speaker 8: Well?

900
00:46:01,200 --> 00:46:06,879
Speaker 1: He always visualating officially, Ye, No, he was very talented artistically.

901
00:46:07,440 --> 00:46:10,160
Speaker 1: So he was always designing and drawing because he was

902
00:46:10,280 --> 00:46:13,640
Speaker 1: originally back in the days when they would call them

903
00:46:13,680 --> 00:46:17,400
Speaker 1: a window dresser and they oh, yeah, that's yep. But

904
00:46:17,560 --> 00:46:19,680
Speaker 1: back in the days when like he worked for Maya

905
00:46:19,880 --> 00:46:24,160
Speaker 1: and George's and he was the what was the creative

906
00:46:24,239 --> 00:46:27,160
Speaker 1: something director for Meya Australia. Like he was, so he

907
00:46:27,160 --> 00:46:31,359
Speaker 1: could draw anything. But in terms of actually painting on canvas, yeah,

908
00:46:31,360 --> 00:46:33,920
Speaker 1: he started when he was in his fifties and he

909
00:46:34,040 --> 00:46:37,319
Speaker 1: was straight away awesome at it, which is and I

910
00:46:37,360 --> 00:46:42,000
Speaker 1: think he entered like five or six competitions and he

911
00:46:42,120 --> 00:46:45,799
Speaker 1: won everything he entered, so he was very I don't

912
00:46:45,800 --> 00:46:50,360
Speaker 1: have that talent, but yeah, but it's it's really interesting,

913
00:46:50,400 --> 00:46:55,680
Speaker 1: this Patrick, because there's this this point now where creativity,

914
00:46:55,800 --> 00:47:00,000
Speaker 1: this natural ability to write beautifully or to paint beautifully,

915
00:47:00,200 --> 00:47:03,360
Speaker 1: or to design a cover, or to produce a film

916
00:47:03,400 --> 00:47:08,920
Speaker 1: with actors and lights, camera action and all, and you know,

917
00:47:09,000 --> 00:47:11,239
Speaker 1: pretty soon they're going to be able to produce or

918
00:47:11,280 --> 00:47:14,680
Speaker 1: even now you know, stuff which is comparable to look

919
00:47:14,719 --> 00:47:18,480
Speaker 1: at or to experience as a as a viewer or

920
00:47:18,520 --> 00:47:21,279
Speaker 1: as a listener or as a reader, to look at

921
00:47:21,320 --> 00:47:25,680
Speaker 1: something which for the average punter as close to indistinguishable,

922
00:47:26,080 --> 00:47:30,080
Speaker 1: and I wonder if over time, you know, we'll go, oh,

923
00:47:30,200 --> 00:47:34,120
Speaker 1: remember when people used to actually design, you know, like

924
00:47:34,680 --> 00:47:38,120
Speaker 1: where architects would sit at a drawing board with like

925
00:47:38,320 --> 00:47:42,000
Speaker 1: pens and pencils and rulers and shits, you know where

926
00:47:42,040 --> 00:47:44,560
Speaker 1: that will be a thing that used to happen in

927
00:47:44,600 --> 00:47:47,480
Speaker 1: the old days, and it won't exist anymore. I think

928
00:47:47,520 --> 00:47:49,800
Speaker 1: that's that's part of what's coming.

929
00:47:50,719 --> 00:47:56,360
Speaker 3: I can understand a skill like drafting, doing the basic drawing,

930
00:47:56,719 --> 00:48:00,520
Speaker 3: having the ability to then have a you know, a

931
00:48:00,640 --> 00:48:05,239
Speaker 3: layer program, a design program then negated the need to

932
00:48:05,520 --> 00:48:08,640
Speaker 3: have a drafter, so that the term drafting doesn't really

933
00:48:08,680 --> 00:48:09,360
Speaker 3: exist anymore.

934
00:48:09,680 --> 00:48:10,920
Speaker 2: Someone who's a typesetter.

935
00:48:11,160 --> 00:48:15,560
Speaker 3: A typesetter was a person who physically laid the lead

936
00:48:15,719 --> 00:48:20,399
Speaker 3: letters the whole newspaper. Could you imagine having to put

937
00:48:20,480 --> 00:48:24,560
Speaker 3: every single letter in place for an entire newspaper for

938
00:48:24,640 --> 00:48:26,479
Speaker 3: it to be able to be printed. And of course

939
00:48:26,520 --> 00:48:29,200
Speaker 3: now typesetting doesn't exist because it's all done.

940
00:48:28,960 --> 00:48:31,880
Speaker 2: By word processes. I get where you're coming from.

941
00:48:32,040 --> 00:48:34,839
Speaker 3: I just feel that's a little bit different to having

942
00:48:34,920 --> 00:48:38,080
Speaker 3: the human touch that it's interesting. The brains or the

943
00:48:38,120 --> 00:48:44,400
Speaker 3: creative genius behind studio gibli is heyo Mayazaki, and he

944
00:48:44,520 --> 00:48:47,479
Speaker 3: wasn't responding specifically to this story, but he's been known

945
00:48:47,560 --> 00:48:53,200
Speaker 3: to have said that he's condemned aiart, saying that it's

946
00:48:53,239 --> 00:48:55,400
Speaker 3: an insult to life itself.

947
00:48:56,040 --> 00:48:56,680
Speaker 7: So this is this.

948
00:48:56,880 --> 00:49:01,040
Speaker 3: Amazing creative genius, and I can that a piece of

949
00:49:01,080 --> 00:49:03,839
Speaker 3: his soul would be ripped out if you've spent your

950
00:49:04,040 --> 00:49:10,480
Speaker 3: entire career crafting this amazing visual, this style that's beautiful

951
00:49:10,520 --> 00:49:12,800
Speaker 3: to look at. I mean, and if you've not seen

952
00:49:12,880 --> 00:49:15,560
Speaker 3: a studio Ghibli movie, if you've not seen Spirited Away

953
00:49:15,680 --> 00:49:18,240
Speaker 3: or anything, do yourself a favor.

954
00:49:18,160 --> 00:49:20,319
Speaker 2: And look it up and watch it. Just go to

955
00:49:20,360 --> 00:49:21,520
Speaker 2: YouTube and watch a clip.

956
00:49:21,760 --> 00:49:23,800
Speaker 3: But if you can sit down and watch the whole movie,

957
00:49:23,840 --> 00:49:28,800
Speaker 3: it's just so amazingly beautifully crafted. And I get why

958
00:49:29,200 --> 00:49:34,360
Speaker 3: someone like that would feel so demoralized at people taking

959
00:49:34,400 --> 00:49:39,000
Speaker 3: his style, stealing his style which was so unique, and

960
00:49:39,120 --> 00:49:42,160
Speaker 3: just applying it and putting it on social media. I

961
00:49:42,280 --> 00:49:44,880
Speaker 3: get that it cheapens. It, it cheapens. What is something

962
00:49:44,920 --> 00:49:45,440
Speaker 3: that's donning?

963
00:49:46,360 --> 00:49:51,959
Speaker 1: Yeah, the boy have you heard there? It is? There's

964
00:49:52,000 --> 00:49:58,000
Speaker 1: a movie on I think it's on on Netflix. You

965
00:49:58,000 --> 00:50:00,600
Speaker 1: would love it. Patrick, It's such a you thing. Maybe

966
00:50:00,680 --> 00:50:03,640
Speaker 1: maybe not, but for our no, it's like this. There's

967
00:50:03,640 --> 00:50:07,000
Speaker 1: a guy called I think it's Charlie Mackazy who wrote

968
00:50:07,000 --> 00:50:09,319
Speaker 1: a book called The Boy, the Mole, the Fox and

969
00:50:09,360 --> 00:50:13,280
Speaker 1: the Horse. Oh. It's such a youth thing and listeners

970
00:50:13,480 --> 00:50:17,200
Speaker 1: like goes thirty four minutes. It's a cartoon, yep, and

971
00:50:17,239 --> 00:50:20,319
Speaker 1: it's all hand drawn by him, and he's got this

972
00:50:20,440 --> 00:50:25,000
Speaker 1: cult following worldwide and he's just this very loving, compassionate,

973
00:50:25,080 --> 00:50:30,400
Speaker 1: empathetic British I think he's British author. His name is

974
00:50:30,480 --> 00:50:36,120
Speaker 1: Charlie macassey and yeah, it's it's like it's I started

975
00:50:36,160 --> 00:50:39,040
Speaker 1: watching it and then like the first five minutes I'm like, oh,

976
00:50:39,080 --> 00:50:40,840
Speaker 1: come on, like it's got to be it's got to

977
00:50:40,880 --> 00:50:42,680
Speaker 1: be more, you know. And then I went, no, I'm

978
00:50:42,680 --> 00:50:45,560
Speaker 1: the problem. And then I just I just laid on

979
00:50:45,600 --> 00:50:48,120
Speaker 1: my bed and watched it. And I've now watched it

980
00:50:48,160 --> 00:50:48,920
Speaker 1: three times.

981
00:50:49,120 --> 00:50:50,279
Speaker 2: I fucking love it.

982
00:50:50,680 --> 00:50:53,279
Speaker 1: There's so much wisdom and it's so gentle and it's

983
00:50:53,320 --> 00:50:57,239
Speaker 1: so beautiful and it's like, yeah, it's it's great. It's

984
00:50:57,280 --> 00:50:59,240
Speaker 1: called The Boy, the Mole, the Fox and the Horse.

985
00:50:59,480 --> 00:51:02,160
Speaker 1: So and you can watch a trailer on YouTube if

986
00:51:02,160 --> 00:51:04,520
Speaker 1: you want, but you would love it, Katie.

987
00:51:05,200 --> 00:51:08,080
Speaker 3: Yeah, oh no, I was looking at it now and

988
00:51:08,080 --> 00:51:10,279
Speaker 3: I'm just seeing that he's obviously used a brushwork. Even

989
00:51:10,320 --> 00:51:13,640
Speaker 3: for the text, he's used a brunt. It does look gorgeous.

990
00:51:13,680 --> 00:51:14,680
Speaker 3: It really looks fantastic.

991
00:51:15,239 --> 00:51:17,799
Speaker 1: We've got to wind up, unfortunately. Tell people how they

992
00:51:17,880 --> 00:51:19,400
Speaker 1: can connect with you, my friend.

993
00:51:19,880 --> 00:51:23,080
Speaker 3: We can get to websites now, dot com, dot au.

994
00:51:23,719 --> 00:51:28,520
Speaker 3: We do marketing stuff like that, websites as the name suggests,

995
00:51:28,560 --> 00:51:30,960
Speaker 3: I guess, doesn't it. Anyway, give us a call talk

996
00:51:31,000 --> 00:51:33,759
Speaker 3: tech and you know, if anybody has questions or a

997
00:51:33,800 --> 00:51:36,840
Speaker 3: particular topic that they want us to talk about Crago,

998
00:51:37,400 --> 00:51:38,800
Speaker 3: we can do that too. So if you want to

999
00:51:38,840 --> 00:51:41,839
Speaker 3: message me at websites noow dot com today, more than

1000
00:51:41,840 --> 00:51:43,719
Speaker 3: happy to answer any questions.

1001
00:51:44,120 --> 00:51:48,320
Speaker 1: Or you could go on top of that, or in

1002
00:51:48,320 --> 00:51:50,960
Speaker 1: instead of that, you could go to the you project

1003
00:51:51,000 --> 00:51:54,160
Speaker 1: Facebook page. You could do that either or do both

1004
00:51:54,360 --> 00:51:56,839
Speaker 1: and then we'll both get a message. And yeah, that's

1005
00:51:56,840 --> 00:51:59,120
Speaker 1: a good idea, mate. So anything that you would like

1006
00:51:59,200 --> 00:52:02,960
Speaker 1: Patrick Twix's law or talk about, or even if you've

1007
00:52:02,960 --> 00:52:07,200
Speaker 1: got a very specific to yourself question, there's a fair

1008
00:52:07,280 --> 00:52:09,480
Speaker 1: chance other people want to know the answer to that

1009
00:52:09,520 --> 00:52:10,719
Speaker 1: particular question as well.

1010
00:52:10,800 --> 00:52:15,360
Speaker 2: So thank you Patrick, Thanks TIV, Thanks lads, thanks to

1011
00:52:15,400 --> 00:52:16,840
Speaker 2: let so y'all,