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Speaker 1: I got you, Bloody Champs, Craig Anthey Arpatifany and good Patrick,

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Speaker 1: James Manela. It's the You Project, It's the tech show.

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Speaker 1: It's a once a fortnite bloody extravaganza of let's be honest,

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Speaker 1: mainly bullshit with a bit of technology thrown in. Speaking

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Speaker 1: of bullshit, Hi Patrick, Oh.

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Speaker 2: Wow, that's just the epic.

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Speaker 1: I love you, I love you. You're loved. How are you?

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Speaker 2: Well? You know you're saying I'm loved, but I'm not

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Speaker 2: feeling that.

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Speaker 1: Well. It's the I don't know, it's the dysfunctional Australian

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Speaker 1: male way. You know. If I love you, I'm not

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Speaker 1: going to tell you, or if I'm going to tell you,

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Speaker 1: I'm going to put your funck with on the end

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Speaker 1: of it, you.

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Speaker 2: Know, and punch me.

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Speaker 1: Yeah, and punch you. Yeah, exactly. Yeah. I can't just

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Speaker 1: look at you and go, Patrick, I love you, because

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Speaker 1: that that is way too weird, probably even for you,

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Speaker 1: who's a little bit more evolved than me. Okay a lot.

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Speaker 1: That's probably even weird for you. But you know, I

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Speaker 1: love you, mate. That's all right, isn't it.

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Speaker 2: I love you too, Craigo, And if I love you too,

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Speaker 2: and please don't punch me.

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Speaker 3: I was just about the same. My love language is

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Speaker 3: a left hook.

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Speaker 2: Exactly, That's right, That.

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Speaker 1: Is funny. What is your love language speaking? And let's

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Speaker 1: just get this out of the way. So if you

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Speaker 1: the four of you don't know, is it not Gary Gray?

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Speaker 1: Is it? Yeah? John Gray?

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Speaker 3: John Gray's Gary?

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Speaker 1: Some just just gone blame anyway, the Five Love Languages?

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Speaker 2: John, Can I just clarify something you just said, the

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Speaker 2: four of you? Who's the other person out in three

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Speaker 2: of us?

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Speaker 1: No? No, no, I was going to say, the four

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Speaker 1: of you who haven't heard of that book, The Five

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Speaker 1: Love Languages?

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Speaker 2: Okay, sorry, because.

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Speaker 1: I've spoken about it quite a bit. But anyway, the

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Speaker 1: five love languages, physical touch, words of affirmation, quality time,

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Speaker 1: I'm what is it? What is the gifts? And acts

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Speaker 1: of service? Thank you? Patrick? And yeah, what's yours? Mate?

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Speaker 4: Well?

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Speaker 1: Like, what when you are expressing love or you want

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Speaker 1: to show someone that you love them, what do you?

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Speaker 1: And I guess it depends whether or not it's you know,

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Speaker 1: like family or friend or someone or something a bit

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Speaker 1: more intimate, But what's your what's your kind of how

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Speaker 1: do you show people that you love them or care

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Speaker 1: about them.

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Speaker 2: I'm big into hugs. Yeah, you both have been recipients.

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Speaker 1: I'm sure I've been to see a movie with you

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Speaker 1: and pretty much we held hands the whole time. I mean,

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Speaker 1: you know there were moments where we didn't, you know,

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Speaker 1: that time where you were holding my cocky and when

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Speaker 1: it got scary. But you can't say that, can't take

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Speaker 1: that out. Tip, take it out, take it out and

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Speaker 1: job in the cinema hashtag coming soon what I know,

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Speaker 1: and by coming I mean movie stop it wow, straight

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Speaker 1: in we've just what has been banned from Hoyts.

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Speaker 2: He calls it cooits.

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Speaker 1: Oh god, So it took us thirteen seconds to get here.

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Speaker 1: I apologize, no wonder no one listens to this episode.

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Speaker 1: There's three sick fucks and go this is this whole

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Speaker 1: technology thing. It's a ruse. There's nothing, there's nothing going

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Speaker 1: on here, nothing to see here.

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Speaker 2: Fans of the podcast realm, that's it.

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Speaker 1: That's it. And Tiff, what about so Patrick's physical touch

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Speaker 1: And by the way, everyone that doesn't despite all the bullshit,

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Speaker 1: that doesn't have to mean anything sexual. It's just off

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Speaker 1: in a hug or or you know, a tap on

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Speaker 1: the back or a little bit of a quick sideways

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Speaker 1: squeeze or something. What about you?

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Speaker 2: Sorry? What is his think that sounds creepy? What from

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Speaker 2: a hut to a bit of a sideways grope?

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Speaker 1: I said squeeze, I did not say grope. Sorry, call Tiff.

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Speaker 3: I think I'm a bit.

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Speaker 5: Words of affirmation, you know what? You know what's interesting?

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Speaker 5: I look at how I behave with my animals bother them.

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Speaker 1: But I think that's because I reckon. I reckon. Your

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Speaker 1: love language is context a pennant, like because yeah, you're

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Speaker 1: you don't open the door that wide with humans, but

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Speaker 1: animals you're like it's a free for all.

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Speaker 2: Yeah.

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Speaker 5: Like sometimes I think if I was someone's girlfriend, the

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Speaker 5: way I behave with my dogs, i'd have the restraining

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Speaker 5: order to put on me.

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Speaker 1: But the thing is, and I know this is like cliche,

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Speaker 1: but like you know that like even cats, like animals

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Speaker 1: don't lie, like they might hate you or love you,

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Speaker 1: but you're going to know they might want affection or not,

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Speaker 1: but they're not pretending, you know, And even if they

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Speaker 1: want food, they're you know, they're very clear about what

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Speaker 1: they want. You know, there's you don't have to read

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Speaker 1: between the lines like you do with humans. There's no

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Speaker 1: persona and person.

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Speaker 5: You know.

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Speaker 2: I'm having a bit of a chuckle to myself because

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Speaker 2: whilst we've been talking, my dog has walked into the

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Speaker 2: little studio and pressed his head up against my hand,

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Speaker 2: and now I'm just padding him. Fritz. What we're talking,

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Speaker 2: he knows, which is why I'm leading to one side.

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Speaker 2: I'm not having a stroke or anything, but like he's

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Speaker 2: having anyway, Leave it there.

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Speaker 1: Gary Chapman, his name is fucking hell. Why did I

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Speaker 1: blank on that?

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Speaker 2: Now?

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Speaker 1: Speaking of dogs and animals, Patrick, I see on your

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Speaker 1: little chat list that we want to open. I don't

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Speaker 1: know how much this is tech, but it is psychology,

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Speaker 1: so I do love it, and it does involve dogs,

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Speaker 1: so we all love it. I think you know. I

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Speaker 1: had to tell you. I don't think this is new research,

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Speaker 1: but I love the research.

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Speaker 2: It's good.

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Speaker 1: Yeah, So tell us about why having a dog could

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Speaker 1: be good for your health.

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Speaker 2: Well, look, they did it. The research specifically looked at

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Speaker 2: how we interact with dogs but also cats, and what

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Speaker 2: they tried to do was typify a dog owner and

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Speaker 2: a cat owner. Now you fall smack bang in the middle. Tip,

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Speaker 2: But it's interestingly before Craig jumped into the call. You

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Speaker 2: were actually you were bitching about your stand up desks.

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Speaker 2: What did your cat do?

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Speaker 3: What did a cat do?

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Speaker 2: Yeah? Why doesn't your desk work anymore? Oh?

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Speaker 5: Yeah, oh yeah, she chewed the fucking cord that makes

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Speaker 5: it go up and down.

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Speaker 2: So cat owners have a higher tendency towards anxiety and

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Speaker 2: they're more neurotic than dog owners. I don't care.

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Speaker 1: Wow, how I wonder is that just is that a

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Speaker 1: byproduct of owning a cat? Or is that just that

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Speaker 1: eurotic anxious people choose cats because cats are neurotic and anxious.

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Speaker 2: That's a really good point. Well, look, this was only

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Speaker 2: a survey of three hundred and twenty one people and

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Speaker 2: it was done at James Cook University and right here

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Speaker 2: at Australia. But the reason for it was it was

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Speaker 2: a lot of people got a lot of consolation during

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Speaker 2: COVID lockdown by having pets, and it seemed that people

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Speaker 2: who had dogs got through it and were more resilient,

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Speaker 2: particularly if they were confined, and so that helped a lot.

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Speaker 2: Oh that's showing. What did your cat? Oh did they

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Speaker 2: knock over the mug and break it?

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Speaker 5: Yeah, that's the last mug that she's broke, she's break.

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Speaker 5: She's gotten rid of thirty on indoor plants in the

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Speaker 5: two years I've had her, and all of the ornaments

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Speaker 5: have been broken.

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Speaker 3: And about three mugs.

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Speaker 2: Are you really anxious right now that your cat could

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Speaker 2: be doing something while you're stuck here the podcast?

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Speaker 5: I'm feeling like I'm not sure what my love language

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Speaker 5: is anymore?

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Speaker 1: Why do you keep buying indoor plans if you know

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Speaker 1: that their time is nine? No?

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Speaker 5: No, now I've got now I have artificial ones? Wow, yeah,

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Speaker 5: which she still causes chaos with.

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Speaker 1: I don't know the value of just is it just

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Speaker 1: an aesthetic thing?

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Speaker 3: Or do you like an aesthetic thing? Now?

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Speaker 2: Right?

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Speaker 1: And so all those ones I can see over your

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Speaker 1: left shoulder, there's about five. Are they fake?

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Speaker 5: Two of them are real? There's two that she hasn't

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Speaker 5: messed with. The other twenty eight odd They made their

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Speaker 5: way outside and eventually passed away.

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Speaker 1: Patrick. I don't want to throw an emotional spanner in

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Speaker 1: the works, but like we've been through this with Tiff,

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Speaker 1: where you know, one of the puppies died way way

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Speaker 1: way before she should have. How old is Fritz now?

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Speaker 2: It's that to ton nine on the first of so

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Speaker 2: we'll know he's.

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Speaker 1: Going to live to twenty five, so let's not worry.

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Speaker 1: But when he does turn twenty five and goes to

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Speaker 1: that big fucking kennel in the sky, are you going

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Speaker 1: to get another one?

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Speaker 2: I will be an emotional mess for quite a while.

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Speaker 2: My previous give you a bit of a snapshot. I've

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Speaker 2: only ever had two dogs, and my previous dog died

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Speaker 2: suddenly at the pet rumors, So it was quite a shock.

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Speaker 1: What.

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Speaker 2: Yeah, yeah, I was totally bereft. I was a blubbering idiot.

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Speaker 2: So yeah, I really struggled when I lost my first dog.

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Speaker 2: And to give you an idea of how bad it was.

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Speaker 2: For the next month after that, I'd go walking in

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Speaker 2: the morning with his ashes in my backpack because I

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Speaker 2: just felt I still wanted to walk him.

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Speaker 1: No, my god, that's the saddest thing ever.

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Speaker 2: Well, I just they are. That was the interesting thing.

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Speaker 2: People with dogs during COVID were less lonely, you know,

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Speaker 2: having a dog and that connection, you know, like I said,

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Speaker 2: I'm sitting I'm sitting here right now patting him. I

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Speaker 2: think for people, particularly older people or people who live alone,

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Speaker 2: it's great to have that company, to have that animal

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Speaker 2: next to you to talk to, to play with, you know,

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Speaker 2: and also the sense of reliance. I kind of like that,

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Speaker 2: you know, caring and talking about love languages. I mean,

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Speaker 2: you look after an animal. I've always felt and I've

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Speaker 2: always said that I'm not a pet owner. I feel

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Speaker 2: that I'm entrusted to look after the animal as opposed

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Speaker 2: to owning the animal.

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Speaker 1: Yeah, I'm with you. I don't like owner, Like it

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Speaker 1: kind of infers that the animal is a commodity or

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Speaker 1: a product, you know, an item to be owned. Yeah.

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Speaker 1: I don't like that language either, because I don't think,

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Speaker 1: you know, I don't think we can own animals. Yeah,

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Speaker 1: Like I understand the language, but to me, it's the

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Speaker 1: wrong language.

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Speaker 2: Yeah, and that's exactly why I never say I own Fritz.

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Speaker 2: I'm entrusted with him. And it's great. I think that

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Speaker 2: if you haven't had a dog and you have an

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Speaker 2: opportunity to babysit one's it's a lot of fun and

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Speaker 2: when you connect and if you're the same, I know

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Speaker 2: how much you love your dog and your cat on

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Speaker 2: some level. Hey, if you had to choose which one,

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Speaker 2: would you choose the dog the cat?

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Speaker 3: By choose, there's no choosing.

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Speaker 1: You can't ask it.

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Speaker 2: You can't ask it.

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Speaker 1: You can't ask I don't want to open the pain

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Speaker 1: door any wider than it's been opened, but fuck it,

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Speaker 1: I'm doing it on behalf of the curious listeners. You're welcome, listeners, Patrick.

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Speaker 1: How does somebody send their dog to the groomers and

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Speaker 1: the dog not come back as much or as little

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Speaker 1: as you want to share? And if that is zero,

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Speaker 1: that's fine, But I'm just curious.

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Speaker 2: What happened was Look, we think it may have been

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Speaker 2: a heart condition, you know, and the diet stressed when

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Speaker 2: they were being groomed. So but yeah, it was just

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Speaker 2: pretty awful. And look, the groomer was bereft as well.

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Speaker 2: You know, it wasn't just me. I mean, obviously they

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Speaker 2: didn't plan for that to happen, says he who got

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Speaker 2: there and started giving his dog mouth resuscitation. You know,

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Speaker 2: I know how to give CPI had a dog and

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Speaker 2: not a human.

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Speaker 1: Yeah, that's not the worst skill to have. It's pretty

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Speaker 1: transferable too. So just think of the next person that's

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Speaker 1: lifeless as a big dog, and you'll be fine to.

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Speaker 2: Put your hand over their mouth and breathe into their nose.

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Speaker 1: Okay, you could even do that. You could do that.

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Speaker 1: You know it's not the preferred.

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Speaker 4: Model or operating system, but well, right, can we can

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Speaker 4: we talk about something more uplifting because everybody's reaching for

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Speaker 4: the fucking tissues and some anti depressing at the minute.

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Speaker 2: Can we Yeah, okay, here's a good one. How do

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Speaker 2: you want to feel like you're living a fuller, longer

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Speaker 2: enriched life.

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Speaker 1: We all do, right, Yes, I would think nobody's going

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Speaker 1: to say no to.

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Speaker 2: That, Isn't it interesting? Do you remember when you were

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Speaker 2: in primary school how school holidays went for a million years,

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Speaker 2: and when you're younger, everything takes longer. Everything felt like

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Speaker 2: it went for an eternity. School went for an eternity,

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Speaker 2: and then you went home, and then it was an eternity,

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Speaker 2: and then you went back to school again in the home.

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Speaker 2: So it's an interesting I guess psychological aspect to our

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Speaker 2: perception of who we are and what we do is

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Speaker 2: that the way we perceive the movement of time so constant,

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Speaker 2: and we experience it in the same way. Every minute

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Speaker 2: lasts the same for me and for you and for Tiff. However,

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Speaker 2: depending on what we're doing, that can change dramatically and

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Speaker 2: a good example is if you go the same place

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Speaker 2: to the same location for the first time you go there,

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Speaker 2: it seems like it takes a long time. Then as

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Speaker 2: you become more familiar with the route that you're taking,

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Speaker 2: it seems to take less time. The more familiarity, we're

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Speaker 2: not taking in new information. So if you want to

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Speaker 2: as you get older, you know, we say it all

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Speaker 2: the time. Gosh, you know, time flies, you know suddenly

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Speaker 2: you know you're sixty seven years old and every day

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Speaker 2: is a blink. But what it's thought is the way

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Speaker 2: to enhance your life. If you want to feel like

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Speaker 2: you're living a longer life, start doing newer things, learn

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Speaker 2: newer things, and not to be anything drastic. You know,

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Speaker 2: you could join my taichi class. No, but if you

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Speaker 2: think about it, anything new that you do takes more

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Speaker 2: mental focus. As a consequence, it's from a perception perspective,

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Speaker 2: it feels like it's taking longer, and so holding on

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Speaker 2: to a thought. You may be in meditation, you might

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Speaker 2: be praying, or you could be out learning a new skill.

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Speaker 2: You could be doing pottery, whatever it happens to be.

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Speaker 2: But doing new things can be really beneficial, and it

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Speaker 2: might be going a different way for your walk in

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Speaker 2: the morning, and suddenly you're seeing new things, taking notice

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Speaker 2: of new things, new flowers, new hills, you know, whatever

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Speaker 2: it happens to be. So it's just an interesting little

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Speaker 2: exercise that we can all do, and it's not expensive

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Speaker 2: and it doesn't take a lot of energy. It just

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Speaker 2: is about shifting the way that we think about what

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Speaker 2: we're doing to try to make our life, according to neuroscience,

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Speaker 2: more fuller.

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Speaker 1: I love it. And also there's the that actually makes

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Speaker 1: sense and I haven't really thought of that, but I've

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Speaker 1: always been fascinated with the constant that is time versus

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Speaker 1: our perception and our individual experience of that constant, because

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Speaker 1: you're right, like, if you're in the middle of something

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Speaker 1: fucking horrible, five minutes seems like five hours, and if

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Speaker 1: you're in a complete state of flow and maybe euphoria,

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Speaker 1: an hour can seem like three or four minutes, you know,

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Speaker 1: because that's the way that we process it. But I

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Speaker 1: think also when you're doing new things, apart from that

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Speaker 1: kind of different perception of time, you know, you're having

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Speaker 1: a new experience, like you're learning something and you may

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Speaker 1: be opening the door to you know, a different set

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Speaker 1: of you know, or a different lot of biochemistry happening

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Speaker 1: in the brain because you're you're tapping into new things.

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Speaker 1: And yeah, I like it. It makes sense too. But

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Speaker 1: also think about this. When you're four, like twelve months

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Speaker 1: is twenty five percent of your life, but when you're sixty,

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Speaker 1: like me, it's not even two percent, you know, So

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Speaker 1: there is that that relative to the age of the

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Speaker 1: individual kind of factor as well.

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Speaker 2: Well. What are the things you can think if you're

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Speaker 2: brushing your teeth and you have to use your non

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Speaker 2: dominant hand because you're focusing so much harder, it seems

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Speaker 2: to take a lot longer, doesn't it. Yes, yes, you

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Speaker 2: know those neural pathways of focus and attention. It's actually

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Speaker 2: an interesting thing to do. I always take my tell

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Speaker 2: my tie cheese students to brush their teeth standing on

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Speaker 2: one foot and that way. It's a good thing for

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Speaker 2: core stability, and also because they're moving their hands up

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Speaker 2: and down, you're getting those micro movements and you're having

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Speaker 2: to readjust your balance constantly. It's just so simple. It

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Speaker 2: doesn't take much at all, but you turn something really

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Speaker 2: mundane into something you've got to focus on a lot more.

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Speaker 1: Now I do the same thing I used to tell

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Speaker 1: people to dry the dishes on one foot, so and

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Speaker 1: that's same thing. You've got to reach over, grab the thing,

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Speaker 1: grab the bowl, grab your tea towel, drive, put it

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Speaker 1: on the bench. Reach. Yeah. Yeah, doing old things in

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Speaker 1: new ways is a great way to keep young and

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Speaker 1: to keep your body and your brain kind of evolving

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Speaker 1: because you're not doing you're not stuck in groundtog day

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Speaker 1: in terms of mindset or behavior or action. Taking.

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Speaker 2: Yeah, across the road from your place that you go

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Speaker 2: to a lot, Well, instead of walking across the road,

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Speaker 2: walk around the block the opposite way.

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Speaker 5: Hm hmm.

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Speaker 1: Yeah, it's funny you say that. I typically have been

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Speaker 1: running two or three k's three times a week, and

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Speaker 1: I do the same course, and I started doing a

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Speaker 1: different course. I enjoy it so much more. Like every

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Speaker 1: time I just go somewhere different now, which is to

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Speaker 1: your point, And I didn't even think about it. I

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Speaker 1: just thought, I'm just going to I'm sick of this

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Speaker 1: particular route because I know exactly how long it is,

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Speaker 1: so when I get to certain points, I know what

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Speaker 1: time I should be at because I'm not competitive at all.

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Speaker 1: And then but now just going in different spaces and

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Speaker 1: places and directions every time I actually am having more fun.

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Speaker 2: Did the stalking charges help make you change your route

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Speaker 2: as well?

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Speaker 1: Yeah? Well, I mean sure, I mean there's that, and

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Speaker 1: also the divvy van that follows me as I run,

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Speaker 1: which I mean that's a little disconcerting, but don't say that.

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Speaker 1: People think you serious. All right, tell us about wherever

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Speaker 1: you want to go. I'm not at the Tetris effect.

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Speaker 1: What is the Tetris effect? I love Tetris, by the.

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Speaker 2: Way, on me too. Tetris is one of the best

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Speaker 2: games ever because it is so mentally challenging. The Tetris effect.

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Speaker 2: It was discovered or if you play a game of

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Speaker 2: Tetris for quite a lengthy amount of time and then

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Speaker 2: you go to bed, it was found that some people

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Speaker 2: who are gamers were visualizing subconsciously the Tetris effect, So

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Speaker 2: the Tetris blocks turning around. So people know what tetrises.

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Speaker 2: I'm assuming people know Tetris.

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Speaker 1: Well, I would think half doo and half days.

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Speaker 2: So it's like all it is is basically a screen

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Speaker 2: where you've got colored blocks that are falling down and

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Speaker 2: you have to rearrange the blocks so that they stack

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Speaker 2: a long row. And then if you complete a row,

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Speaker 2: the road then disappears, So you can belong the game

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Speaker 2: by doing that. Is that kind of makes sense?

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Speaker 1: Yeah, yeah, but I wouldn't think of Yeah yeah, but

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Speaker 1: I think anyone who's listening to this who's twenty five

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Speaker 1: or thirty even or younger, they're definitely not saying Tetris

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Speaker 1: is awesome. They're going, you are such a fucking granddad,

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Speaker 1: Tetris is awesome. It's like going, oh, have you seen

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Speaker 1: table tennis? Fucking hell, it's the next big thing.

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Speaker 2: Okay, right, oh yeah.

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Speaker 1: We weren't playing it in the eighties, which is forty

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Speaker 1: years ago, Grandpa, it was a long time, agodly groundbreaking.

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Speaker 1: What about tetris though? That's big? No, it's not.

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Speaker 2: So. This researcher a govern the number Robert stick Gold.

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00:20:25,400 --> 00:20:29,720
Speaker 2: He that's not a real name name, not a.

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Speaker 1: Real name, that's a pseudonym. He named Brian mcgilla cuddy.

387
00:20:35,760 --> 00:20:39,800
Speaker 2: So what he realized was he named the phenomenon after

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Speaker 2: the puzzle because this usually happens when you're doing repetitive

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00:20:43,880 --> 00:20:47,320
Speaker 2: tasks just prior to going to sleep. But there actually

390
00:20:47,359 --> 00:20:49,399
Speaker 2: is a positive flow and effect from this, because what

391
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Speaker 2: they're talking about doing is using this tetris effect people

392
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Speaker 2: with PTSD. So people who have trouble sleeping, they want

393
00:20:58,080 --> 00:21:01,320
Speaker 2: to do is they try to get the to play

394
00:21:01,359 --> 00:21:05,520
Speaker 2: the game when they're recalling whatever the trauma happens to be,

395
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Speaker 2: and it reworks the memory and write is it rewrites

396
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Speaker 2: to the mental hard drive. And they're saying it can

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Speaker 2: help lessen the impact of the memory when used in

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Speaker 2: conjunction with playing a video game like this.

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Speaker 1: That is really interesting. We call that that you know,

400
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Speaker 1: when there's a stimulus, like you think about like that

401
00:21:25,800 --> 00:21:31,280
Speaker 1: neuro association, that thought has a neurological kind of consequence

402
00:21:31,480 --> 00:21:34,840
Speaker 1: in the body and where that that trauma? Yeah, that

403
00:21:35,000 --> 00:21:38,880
Speaker 1: that's clever. That's clever, Like I have this neuro association.

404
00:21:39,359 --> 00:21:43,880
Speaker 1: Did you ever eat that that meat? What was it called? That?

405
00:21:44,600 --> 00:21:48,200
Speaker 1: Like lunch meat? It was called no, not spam. It

406
00:21:48,280 --> 00:21:50,480
Speaker 1: was you know in those big tubes that your mum

407
00:21:50,560 --> 00:21:54,600
Speaker 1: used to slice. Oh my god, not salami, No, not salami,

408
00:21:54,680 --> 00:21:58,560
Speaker 1: no salamis. It was like I forget.

409
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Speaker 2: It was very the meat products for crying out.

410
00:22:02,000 --> 00:22:04,000
Speaker 1: Yeah no, but you haven't always been a vegan. You

411
00:22:04,080 --> 00:22:07,520
Speaker 1: used to eat fucking charred animal flesh. Don't don't pretend

412
00:22:08,040 --> 00:22:11,240
Speaker 1: you grew up eating carrots. Anyway, I ate some of

413
00:22:11,280 --> 00:22:15,679
Speaker 1: this sandwich meat. Essentially it is just shit. And I

414
00:22:15,720 --> 00:22:18,320
Speaker 1: got violently ill. I got food poisoning, and I used

415
00:22:18,359 --> 00:22:21,199
Speaker 1: to love it, and then I got food poisoning. And

416
00:22:21,240 --> 00:22:25,840
Speaker 1: then even now the if you gave me, if you

417
00:22:25,960 --> 00:22:28,080
Speaker 1: just put that in front of me, I start to

418
00:22:28,560 --> 00:22:32,040
Speaker 1: dry reach and that was I was so ill.

419
00:22:32,760 --> 00:22:33,280
Speaker 2: And it was.

420
00:22:33,240 --> 00:22:35,560
Speaker 1: Because of that stuff. And every time I would spew,

421
00:22:35,680 --> 00:22:39,240
Speaker 1: I could taste it, and oh my god. Yeah, but

422
00:22:39,280 --> 00:22:41,680
Speaker 1: that's forty years later and I still can't even think

423
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Speaker 1: about it.

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Speaker 2: Well, talking about processed meat, I did actually try a

425
00:22:45,040 --> 00:22:49,000
Speaker 2: thing called tongue and versed once, what do you reckon

426
00:22:49,119 --> 00:22:50,000
Speaker 2: toungu in verst is?

427
00:22:50,640 --> 00:22:54,400
Speaker 1: I think it is a German product involving tongue.

428
00:22:54,200 --> 00:22:59,360
Speaker 2: Correct, And it's basically sliced tongue, and the slices of

429
00:22:59,400 --> 00:23:02,119
Speaker 2: the show the shape of the tongue.

430
00:23:02,840 --> 00:23:06,359
Speaker 1: Yeah, yeah, my old man. Mild Man's like that, mild man,

431
00:23:06,760 --> 00:23:09,320
Speaker 1: He'll it fucking everything that you don't want it, like

432
00:23:09,520 --> 00:23:13,840
Speaker 1: tongue off lanes, like liver. I know people are going

433
00:23:13,920 --> 00:23:16,320
Speaker 1: to go live. It's amazing live, Its fucking horrible.

434
00:23:18,119 --> 00:23:20,120
Speaker 2: The reason life sounds like awful.

435
00:23:20,720 --> 00:23:24,399
Speaker 1: Oh it is, it is, all right, So tell me

436
00:23:24,440 --> 00:23:27,520
Speaker 1: about screen fatigue, because I feel like this might be

437
00:23:27,600 --> 00:23:31,480
Speaker 1: something to which I'm susceptible. And everyone really.

438
00:23:31,440 --> 00:23:33,920
Speaker 2: Well, after the show today, I've got an eye appointment

439
00:23:33,960 --> 00:23:36,240
Speaker 2: to get an eye check up, so I haven't got

440
00:23:36,240 --> 00:23:38,399
Speaker 2: glasses yet, and every time I go for one of

441
00:23:38,520 --> 00:23:41,719
Speaker 2: my annual checkup, I think high end. It's now, isn't it.

442
00:23:41,720 --> 00:23:47,159
Speaker 2: It's got to be now glasses anyway. So screen fatigue,

443
00:23:47,240 --> 00:23:52,320
Speaker 2: it's something that's becoming more prevalent. And so there are

444
00:23:52,440 --> 00:23:55,240
Speaker 2: a number of different dangers associated with screen fatigue, and

445
00:23:55,280 --> 00:23:58,080
Speaker 2: I say dangers with an emphasis on well I came

446
00:23:58,480 --> 00:24:01,040
Speaker 2: quite so dangerous. But there are some problems that you

447
00:24:01,080 --> 00:24:04,400
Speaker 2: can you can you know you can have. And one

448
00:24:04,440 --> 00:24:08,399
Speaker 2: of the little rules that you can try to remember

449
00:24:08,480 --> 00:24:12,760
Speaker 2: this is from the American Optometric Association Optometric Optometric. I guess,

450
00:24:12,760 --> 00:24:15,760
Speaker 2: so let's go optometric. I think it sounds good anyway.

451
00:24:15,760 --> 00:24:19,200
Speaker 2: They advise what they call the twenty twenty twenty rule. Okay,

452
00:24:19,240 --> 00:24:22,359
Speaker 2: so every twenty minutes, look at something twenty feet away

453
00:24:22,640 --> 00:24:23,880
Speaker 2: for at least twenty seconds.

454
00:24:24,080 --> 00:24:29,879
Speaker 1: Yeah, yeah, yep, yeah, that's that's good advice. It is like,

455
00:24:29,960 --> 00:24:32,200
Speaker 1: look at something in the distance is like, look at

456
00:24:32,200 --> 00:24:34,840
Speaker 1: the horizon, there's another one they go which you know,

457
00:24:35,240 --> 00:24:36,680
Speaker 1: however far that is for you.

458
00:24:37,240 --> 00:24:39,800
Speaker 2: Well, I've set up my desk specifically so that the

459
00:24:39,840 --> 00:24:41,919
Speaker 2: windows on the side and I can look down the

460
00:24:42,000 --> 00:24:44,840
Speaker 2: driveway well as I can see people coming up and

461
00:24:44,840 --> 00:24:46,960
Speaker 2: down the driveway. V It means I do have a

462
00:24:47,000 --> 00:24:50,879
Speaker 2: long distance viewable angle. Because if you're looking at a

463
00:24:50,880 --> 00:24:53,199
Speaker 2: screen for a long time, what it can do is

464
00:24:53,240 --> 00:24:56,800
Speaker 2: it causes dry eyes and irritation. So that's the prolonged time.

465
00:24:56,840 --> 00:24:59,480
Speaker 2: It means that we don't actually blink as much when

466
00:24:59,520 --> 00:25:03,320
Speaker 2: we look at screen. Yeah, this is typically blinking it

467
00:25:03,560 --> 00:25:07,320
Speaker 2: like millions miles an hour. So that then causes dry

468
00:25:07,359 --> 00:25:09,679
Speaker 2: eyes and irritation. So when we look at us, it's interesting,

469
00:25:09,720 --> 00:25:12,560
Speaker 2: isn't it that we we are subconsciously not blinking as

470
00:25:12,640 --> 00:25:14,880
Speaker 2: much when we look at it a screen. It's so

471
00:25:14,880 --> 00:25:15,560
Speaker 2: so weet.

472
00:25:15,600 --> 00:25:17,800
Speaker 1: I've got a trick a hack. What if we had

473
00:25:17,800 --> 00:25:20,240
Speaker 1: a huge screen, but we put it twenty feet away,

474
00:25:21,600 --> 00:25:27,080
Speaker 1: so we're always looking at something twenty feet away. Yeah, yeah, no,

475
00:25:28,000 --> 00:25:32,080
Speaker 1: I that seemed like what seemed like the advice is,

476
00:25:32,440 --> 00:25:34,760
Speaker 1: you know, looking at something twenty feet away is good

477
00:25:34,760 --> 00:25:37,680
Speaker 1: for our eyes. What if our screen was twenty feet Well,

478
00:25:37,680 --> 00:25:40,439
Speaker 1: we have like one hundred inch TV and that became your.

479
00:25:40,280 --> 00:25:42,919
Speaker 3: Screens in a house that big.

480
00:25:44,720 --> 00:25:49,560
Speaker 2: Patrick does does close every twenty minutes. Look at something close?

481
00:25:50,480 --> 00:25:52,640
Speaker 1: Can I here's the pause button for a moment. Now

482
00:25:52,720 --> 00:25:55,879
Speaker 1: you sent I think you sent Tiff as well? You

483
00:25:55,960 --> 00:25:57,960
Speaker 1: sent me and Tiff well you sent me? Did he

484
00:25:58,000 --> 00:25:59,440
Speaker 1: send them to you? Those photos tif?

485
00:25:59,560 --> 00:26:00,000
Speaker 3: Yes? Yeh.

486
00:26:00,720 --> 00:26:04,320
Speaker 1: So some were a bunch of flowers and outdoor beautiful things,

487
00:26:04,320 --> 00:26:08,080
Speaker 1: but one was a big room, empty looking room. I'm

488
00:26:08,119 --> 00:26:13,159
Speaker 1: assuming that's the new chie study. Yeah, yeah, so finished.

489
00:26:13,440 --> 00:26:15,040
Speaker 2: Yeah, so you for.

490
00:26:14,960 --> 00:26:18,040
Speaker 1: Those who haven't been listening, you're turning your garage what

491
00:26:18,200 --> 00:26:22,040
Speaker 1: is a large garage because you're rich into a tai

492
00:26:22,160 --> 00:26:27,000
Speaker 1: chi to studio. Yes, I can say that ten times fast.

493
00:26:27,480 --> 00:26:31,080
Speaker 1: And it looks good. It looks good. What's the update?

494
00:26:31,160 --> 00:26:31,200
Speaker 4: Like?

495
00:26:31,240 --> 00:26:32,400
Speaker 1: Where are you at? Oh?

496
00:26:32,480 --> 00:26:34,480
Speaker 2: This has been an exciting thing for me. I haven't

497
00:26:34,520 --> 00:26:37,280
Speaker 2: really done much in the way of Renault's before, but

498
00:26:37,280 --> 00:26:40,320
Speaker 2: I've got a really great builder, and so it's a

499
00:26:40,359 --> 00:26:44,520
Speaker 2: massive garage. It's like nine meters by five meters. It's enormous.

500
00:26:44,560 --> 00:26:47,520
Speaker 2: You could fit three four cars in it easily. More

501
00:26:47,560 --> 00:26:51,439
Speaker 2: of course, but the idea being is that because I

502
00:26:51,480 --> 00:26:53,480
Speaker 2: do teach tai chi, but if I want to do

503
00:26:53,520 --> 00:26:57,160
Speaker 2: one on one or small sessions, it's kind of expensive

504
00:26:57,200 --> 00:26:59,480
Speaker 2: to hire out a location to do at a hall

505
00:26:59,560 --> 00:27:02,159
Speaker 2: or something like that. And you know, I was one

506
00:27:02,200 --> 00:27:04,920
Speaker 2: of those people that I just stored crap in my garage.

507
00:27:05,000 --> 00:27:08,520
Speaker 2: It's very cathartic throwing things away. I had two skips

508
00:27:08,560 --> 00:27:11,760
Speaker 2: so far, and I've got another skip coming soon to

509
00:27:11,840 --> 00:27:13,680
Speaker 2: throw more stuff away coming soon.

510
00:27:14,040 --> 00:27:15,680
Speaker 1: Do you not have any shit that you can give

511
00:27:15,720 --> 00:27:16,920
Speaker 1: to people? Like good shit?

512
00:27:17,200 --> 00:27:19,600
Speaker 2: You know I've given away some stuff. Yes, No, I certainly.

513
00:27:19,680 --> 00:27:22,359
Speaker 2: I've been trying to give away a beautiful art deco wardrobe,

514
00:27:22,960 --> 00:27:24,720
Speaker 2: but people don't want wardrobes anymore.

515
00:27:25,000 --> 00:27:27,040
Speaker 1: No, I think it might be that wardrobe.

516
00:27:27,359 --> 00:27:31,600
Speaker 2: Yeah. Hey, so anyway, in answer to your question the paint.

517
00:27:31,480 --> 00:27:33,879
Speaker 1: I don't know that that art deco and beautiful go

518
00:27:33,960 --> 00:27:35,280
Speaker 1: in the same sentence, do they?

519
00:27:35,560 --> 00:27:38,320
Speaker 2: My whole house is art deco decorate, We're not the.

520
00:27:38,320 --> 00:27:39,639
Speaker 1: Whole rest my case.

521
00:27:39,840 --> 00:27:44,160
Speaker 2: Oh wow, yeah, I'm going to restind my invitation.

522
00:27:43,800 --> 00:27:47,160
Speaker 1: With ha ha oh. No, I love your house and

523
00:27:47,200 --> 00:27:53,240
Speaker 1: you I've never even seen it, but he's answering your question. Sorry, oh, man, jeez,

524
00:27:55,560 --> 00:27:59,119
Speaker 1: I'm an only child. I have a predisposition for interruption.

525
00:27:59,400 --> 00:28:03,040
Speaker 2: You do. So the painting has been done, very excited,

526
00:28:03,119 --> 00:28:05,800
Speaker 2: and then the plumber is due next week and the electrician,

527
00:28:05,840 --> 00:28:07,440
Speaker 2: so I wanted to get the painting done before that

528
00:28:07,680 --> 00:28:08,840
Speaker 2: and then it'll be all good to go.

529
00:28:09,320 --> 00:28:11,000
Speaker 1: What's on the floor, what's going to be?

530
00:28:11,640 --> 00:28:13,359
Speaker 2: I've just put green tongue on the floor at the

531
00:28:13,359 --> 00:28:15,280
Speaker 2: moment because I've kind of run out of money. So

532
00:28:15,560 --> 00:28:17,720
Speaker 2: if you're not familiar with green tongue, it's kind of

533
00:28:17,720 --> 00:28:21,879
Speaker 2: a it's it's the like chipboard, so maybe enemy to

534
00:28:21,920 --> 00:28:24,640
Speaker 2: thick chipboard that links together. But the green tongue as

535
00:28:24,640 --> 00:28:28,320
Speaker 2: opposed to the I think orange tongue is more it's

536
00:28:28,359 --> 00:28:31,040
Speaker 2: more water resistant. So I've just locked that down on

537
00:28:31,040 --> 00:28:31,640
Speaker 2: the concrete.

538
00:28:31,680 --> 00:28:33,080
Speaker 1: And is it b yo matts?

539
00:28:33,600 --> 00:28:35,280
Speaker 2: No, no, no, we don't do You don't use mats for

540
00:28:35,320 --> 00:28:37,320
Speaker 2: ti chi. You just do it in soft shoes like

541
00:28:37,400 --> 00:28:38,440
Speaker 2: runners and that sort of stuff.

542
00:28:38,600 --> 00:28:41,360
Speaker 1: Really, don't you ever get on your back or anything?

543
00:28:42,440 --> 00:28:45,520
Speaker 2: No? Ti chee is a slow moving martial art form,

544
00:28:45,680 --> 00:28:47,360
Speaker 2: so I guess only if you fall down.

545
00:28:48,480 --> 00:28:51,000
Speaker 1: Well, in my version of tie chi, we do it

546
00:28:51,040 --> 00:28:56,520
Speaker 1: on our back, so you clearly haven't evolved. So if

547
00:28:56,560 --> 00:29:00,480
Speaker 1: you want to do what I like to call a

548
00:29:00,720 --> 00:29:05,840
Speaker 1: supine tichi, just hit me up.

549
00:29:06,800 --> 00:29:09,080
Speaker 2: There are different forms of tie chief for people who

550
00:29:09,120 --> 00:29:11,640
Speaker 2: are incapacitated, So if they're in a wheelchair or whatever,

551
00:29:11,680 --> 00:29:13,920
Speaker 2: they can do the upper body parts of the tie

552
00:29:13,960 --> 00:29:18,120
Speaker 2: chi movement I'm beating is now, by the way, increased

553
00:29:18,200 --> 00:29:22,360
Speaker 2: stress and anxiety is also something that's associated with looking

554
00:29:22,360 --> 00:29:24,160
Speaker 2: at screens and talking to Craig Harper.

555
00:29:26,040 --> 00:29:28,400
Speaker 1: And imagine if you're talking to Craig Arper on a screen,

556
00:29:28,560 --> 00:29:31,880
Speaker 1: it's like the fucking double banger, absolutely double wordy.

557
00:29:33,680 --> 00:29:37,680
Speaker 2: That's funny al right now on Long twenty twenty twenty, Craigo.

558
00:29:38,040 --> 00:29:40,959
Speaker 1: Okay twenty twenty twenty, Yes exactly.

559
00:29:41,120 --> 00:29:43,760
Speaker 2: Hey have you heard of a new term called raw dogging.

560
00:29:46,120 --> 00:29:48,640
Speaker 1: I don't think that's a new term, Patrick. I think

561
00:29:48,720 --> 00:29:51,920
Speaker 1: that's an old term, and I think it refers to

562
00:29:53,440 --> 00:29:58,320
Speaker 1: sexual relations without appropriate protection. That is exactly what it's

563
00:29:58,400 --> 00:29:58,920
Speaker 1: referring to.

564
00:29:59,520 --> 00:30:03,720
Speaker 2: Not now, not by the funky cool trendy YouTubers.

565
00:30:04,240 --> 00:30:07,000
Speaker 1: M see, I don't know those of us who are

566
00:30:07,000 --> 00:30:11,320
Speaker 1: older than twenty raw dogging is. My mum was against it.

567
00:30:12,960 --> 00:30:15,400
Speaker 1: Choose to say to me if it's not on, it's

568
00:30:15,480 --> 00:30:19,400
Speaker 1: not on. And I'd say yes, mum, but get out

569
00:30:19,440 --> 00:30:28,800
Speaker 1: of the room though, and and what are you doing

570
00:30:28,840 --> 00:30:42,920
Speaker 1: with the handicam? Go away? Ah? Fuck, I see this

571
00:30:43,080 --> 00:30:43,680
Speaker 1: is a problem.

572
00:30:43,960 --> 00:30:45,280
Speaker 3: If it's not on, it's not on.

573
00:30:45,800 --> 00:30:47,440
Speaker 1: Yeah, it's not on, it's not on. This is what

574
00:30:47,560 --> 00:30:52,320
Speaker 1: happens when you do sixteen hundred podcasts and you're in

575
00:30:52,400 --> 00:30:54,480
Speaker 1: a little bit of pain. Which we won't open the

576
00:30:54,560 --> 00:30:55,920
Speaker 1: door on that, but you need to know what I'm

577
00:30:55,960 --> 00:30:59,160
Speaker 1: talking about. I've had some drugs this morning. I'm in pain,

578
00:30:59,600 --> 00:31:02,000
Speaker 1: so I'm not responsible for what comes out of my mouth.

579
00:31:02,320 --> 00:31:04,160
Speaker 2: It just occurred to me, Tiff, that if you come

580
00:31:04,280 --> 00:31:07,720
Speaker 2: from a one child family, whereas I'm from a four

581
00:31:07,920 --> 00:31:11,720
Speaker 2: child family, I've got a twenty five percent less chance

582
00:31:11,800 --> 00:31:12,880
Speaker 2: of someone walking in on me.

583
00:31:14,280 --> 00:31:19,760
Speaker 1: Yeah, statistically, that was That was the big fear of

584
00:31:19,840 --> 00:31:21,360
Speaker 1: my teenageers.

585
00:31:22,160 --> 00:31:22,840
Speaker 2: Your parents.

586
00:31:23,520 --> 00:31:28,320
Speaker 1: Yeah, no, you don't want that, do you. That's the no.

587
00:31:28,400 --> 00:31:30,640
Speaker 1: I don't even want to think about. Isn't it funny

588
00:31:30,680 --> 00:31:33,600
Speaker 1: how everyone's creeped out by that thought. I don't even

589
00:31:33,640 --> 00:31:35,640
Speaker 1: want to say the thought, but you know you can.

590
00:31:35,680 --> 00:31:38,080
Speaker 1: You know, Mum and dad. You don't want to think

591
00:31:38,120 --> 00:31:38,800
Speaker 1: about that, do you.

592
00:31:39,320 --> 00:31:41,840
Speaker 2: No, no, sorry to all the parents.

593
00:31:42,520 --> 00:31:45,640
Speaker 1: Sorry, what did you just say before tiff distracted us?

594
00:31:46,120 --> 00:31:47,520
Speaker 2: What raw dogging?

595
00:31:48,000 --> 00:31:48,120
Speaker 4: Oh?

596
00:31:48,200 --> 00:31:51,840
Speaker 1: Yeah? What is what is the the contemporary equivalent of

597
00:31:52,000 --> 00:31:52,520
Speaker 1: raw dogging?

598
00:31:53,440 --> 00:31:55,560
Speaker 2: Well, I can't look at the screen because I'm tear

599
00:31:55,600 --> 00:31:58,760
Speaker 2: it up, tear it up so muchses. By the end

600
00:31:58,800 --> 00:32:02,000
Speaker 2: of this, raw dogging is now a term.

601
00:32:02,080 --> 00:32:03,600
Speaker 1: He stop saying raw dogging.

602
00:32:06,680 --> 00:32:08,120
Speaker 3: I'm going to roar dog into India.

603
00:32:08,440 --> 00:32:14,920
Speaker 1: Ah God, next month. I'll tell you what I don't think.

604
00:32:15,080 --> 00:32:17,000
Speaker 1: I don't think you want to raw dog in general.

605
00:32:17,080 --> 00:32:22,320
Speaker 1: But no, it doesn't matter. Dirty on harps, fucking get

606
00:32:22,360 --> 00:32:27,720
Speaker 1: your filter and click. It's back on, Patrick and go.

607
00:32:28,640 --> 00:32:31,040
Speaker 2: I feel like I need to a polish Can you edit.

608
00:32:31,000 --> 00:32:35,480
Speaker 1: Out everything up until now? Please? Hi everyone, Welcome to

609
00:32:35,600 --> 00:32:38,080
Speaker 1: the show. Patrick, great to see you.

610
00:32:38,480 --> 00:32:40,160
Speaker 2: I don't think you should edit any of this out.

611
00:32:40,320 --> 00:32:42,720
Speaker 2: Just make him suffer through it. No, okay. So raw

612
00:32:42,800 --> 00:32:45,320
Speaker 2: dogging is a new term where someone gets onto a

613
00:32:45,480 --> 00:32:50,160
Speaker 2: plane and they go into a state of almost trance

614
00:32:50,480 --> 00:32:53,560
Speaker 2: like state and they do nothing. They don't eat, they

615
00:32:53,600 --> 00:32:56,800
Speaker 2: don't drink, they don't read anything, they don't listen to anything.

616
00:32:56,840 --> 00:32:59,760
Speaker 2: I don't watch anything. It's become this trendy thing. A

617
00:32:59,800 --> 00:33:03,200
Speaker 2: guy what the name of a Damien Bailey who's a

618
00:33:03,280 --> 00:33:07,360
Speaker 2: big insta person, reckons he achieved his personal best at

619
00:33:07,440 --> 00:33:10,400
Speaker 2: thirteen and a half hour flight between Shanghai and Dallas

620
00:33:10,840 --> 00:33:15,600
Speaker 2: without any inflight entertainment, films, books, or music. So it's

621
00:33:15,880 --> 00:33:18,320
Speaker 2: generally blokes. Of course, it's going to be blokes who

622
00:33:18,400 --> 00:33:21,280
Speaker 2: do this, and they're the alpha male types. So the

623
00:33:21,400 --> 00:33:24,800
Speaker 2: three of us, it's going to be you, I.

624
00:33:24,920 --> 00:33:27,200
Speaker 1: Reckon TIFF's more of an alpha male than both of us.

625
00:33:28,120 --> 00:33:30,680
Speaker 1: But also like there's all these monks that have been

626
00:33:30,720 --> 00:33:34,840
Speaker 1: living in caves just living on fucking oxygen for thirty

627
00:33:34,920 --> 00:33:35,680
Speaker 1: years who are like.

628
00:33:35,920 --> 00:33:39,960
Speaker 2: Ah, so what they're not on a plane at a

629
00:33:40,000 --> 00:33:46,480
Speaker 2: high altitude in potential DVT cross So wow, So.

630
00:33:47,000 --> 00:33:50,880
Speaker 1: What is what's the what's the outcome or what's the

631
00:33:51,040 --> 00:33:56,200
Speaker 1: intended outcome? Like just that they're going through this, like

632
00:33:56,320 --> 00:34:01,800
Speaker 1: this momentary kind of scarcity of technology or food or

633
00:34:01,920 --> 00:34:04,200
Speaker 1: water or stimulation or something.

634
00:34:04,960 --> 00:34:07,880
Speaker 2: It's a challenge. I guess they're challenging themselves to be

635
00:34:08,080 --> 00:34:12,920
Speaker 2: in the moment to focus on you know, that particular duration.

636
00:34:13,400 --> 00:34:17,000
Speaker 2: And one guy did a fifteen hour flight to Melbourne.

637
00:34:17,239 --> 00:34:20,800
Speaker 2: I mean that's crazy. An Australian music producer by the

638
00:34:20,880 --> 00:34:21,919
Speaker 2: name of Torron Foot.

639
00:34:22,239 --> 00:34:25,000
Speaker 1: Yes, that is a name I have heard of this,

640
00:34:25,280 --> 00:34:27,800
Speaker 1: I didn't think it was called raw dogging, but also

641
00:34:28,040 --> 00:34:31,080
Speaker 1: hashtag don't pick the middle seat or there's going to

642
00:34:31,120 --> 00:34:33,719
Speaker 1: be no fucking raw dogging. You're going to be constantly

643
00:34:34,160 --> 00:34:36,960
Speaker 1: shuffling your knees side ways while Brian with the tiny

644
00:34:37,040 --> 00:34:38,640
Speaker 1: bladder is stepping over the top of you.

645
00:34:39,320 --> 00:34:41,960
Speaker 2: Yeah. Well, what was interesting though is people have been

646
00:34:42,000 --> 00:34:47,240
Speaker 2: posting responses to it, and one medical expert said, they're idiots.

647
00:34:47,640 --> 00:34:50,680
Speaker 2: That was the great they're idiots. Well, because you know,

648
00:34:50,840 --> 00:34:53,000
Speaker 2: it's not a good thing. Some people are going without

649
00:34:53,040 --> 00:34:55,080
Speaker 2: food and water as well, and when, of course you're

650
00:34:55,080 --> 00:34:57,400
Speaker 2: on a long haul flight, they say hydration is important.

651
00:34:57,840 --> 00:34:59,920
Speaker 2: And if you're not hydrated and you don't move around,

652
00:35:00,120 --> 00:35:03,120
Speaker 2: do you increase some really serious health risks?

653
00:35:03,360 --> 00:35:06,280
Speaker 1: You know, Well, if you're getting dehydrated, your blood's getting

654
00:35:06,360 --> 00:35:10,360
Speaker 1: thicker because you're sweating, and obviously blah blah blah. So

655
00:35:10,600 --> 00:35:12,560
Speaker 1: I would think the well that I would think I

656
00:35:12,600 --> 00:35:17,200
Speaker 1: could almost guarantee the risk of deep vein thrombosis as

657
00:35:17,280 --> 00:35:20,240
Speaker 1: you alluded to, Patrick, or stroke or heart attack because

658
00:35:20,560 --> 00:35:24,080
Speaker 1: the higher the level of viscosity of your blood, or

659
00:35:24,160 --> 00:35:25,960
Speaker 1: in other words, the thicker it is and the less

660
00:35:26,040 --> 00:35:29,080
Speaker 1: volume you have, the more risk you are. So I

661
00:35:29,080 --> 00:35:31,080
Speaker 1: would think, at the very least, drink some waterer. Do

662
00:35:31,200 --> 00:35:32,600
Speaker 1: everything else but drink some water.

663
00:35:33,600 --> 00:35:37,160
Speaker 2: It's interesting that a business psychologist says, oh, it's probably

664
00:35:37,160 --> 00:35:40,440
Speaker 2: a good thing. You know, people can be quietly reflecting.

665
00:35:40,840 --> 00:35:43,040
Speaker 2: But it's the medical people I think I would be

666
00:35:43,120 --> 00:35:44,919
Speaker 2: listening to, not the business psychologists.

667
00:35:45,040 --> 00:35:48,080
Speaker 1: I also think, I don't mean, that's not poopoing your

668
00:35:48,120 --> 00:35:50,680
Speaker 1: story because it's quirky and it's interesting, which is what

669
00:35:50,800 --> 00:35:53,560
Speaker 1: we like. But how the fuck is this news? Like,

670
00:35:53,680 --> 00:35:56,440
Speaker 1: how's somebody sitting on a plane not drinking? Like? How

671
00:35:56,560 --> 00:35:58,520
Speaker 1: is that with all the shit that's going on in

672
00:35:58,600 --> 00:35:58,959
Speaker 1: the world.

673
00:35:59,400 --> 00:36:03,480
Speaker 2: Well, guess what. These are famous TikTokers and famous people,

674
00:36:03,800 --> 00:36:07,600
Speaker 2: all stars, and young people will copy them. That's the problem,

675
00:36:08,080 --> 00:36:10,920
Speaker 2: because people copy them. It's like planking. Remember when planking

676
00:36:11,080 --> 00:36:13,680
Speaker 2: was really big and people fell off buildings and stuff.

677
00:36:13,960 --> 00:36:18,360
Speaker 2: It happens, So yeah, influences people to do stupid things.

678
00:36:19,120 --> 00:36:19,440
Speaker 1: I know.

679
00:36:20,320 --> 00:36:25,120
Speaker 2: I know in Russia they have signs on train crossings

680
00:36:25,520 --> 00:36:28,600
Speaker 2: telling people not to take selfies on the train tracks

681
00:36:28,640 --> 00:36:32,320
Speaker 2: because people get run over by trains taking selfies.

682
00:36:33,520 --> 00:36:35,759
Speaker 1: Yeah, you would think if you were that young, your

683
00:36:35,840 --> 00:36:39,080
Speaker 1: ears would be better than that. You would think that

684
00:36:39,200 --> 00:36:40,960
Speaker 1: you should hear that shit coming.

685
00:36:41,520 --> 00:36:45,600
Speaker 2: You would. You would've probably got, you know, headphones on

686
00:36:45,719 --> 00:36:51,719
Speaker 2: or something. All right, plow on, plow on. I saw

687
00:36:51,800 --> 00:36:54,920
Speaker 2: a really interesting article in The Verge. It's a I

688
00:36:55,080 --> 00:36:58,120
Speaker 2: listened to the I'll watch the Verge. Read the Verge anyway,

689
00:36:58,400 --> 00:37:01,600
Speaker 2: Ellison Johnson, I quite like it stuff. She was talking

690
00:37:01,640 --> 00:37:04,720
Speaker 2: about a new feature on the Google Pixel nine phone.

691
00:37:04,719 --> 00:37:07,440
Speaker 2: It's just about to come out. So there has been

692
00:37:07,480 --> 00:37:09,200
Speaker 2: a feature. And this is why I sent you some

693
00:37:09,280 --> 00:37:12,560
Speaker 2: photos this morning. You're probably wondering why. I say, oh yeah, yeah, yeah.

694
00:37:12,400 --> 00:37:15,160
Speaker 1: I did see like nature photos which were quite pretty.

695
00:37:15,520 --> 00:37:17,800
Speaker 2: Yeah. I took them yesterday in the last twenty four hours.

696
00:37:17,800 --> 00:37:19,840
Speaker 2: I just took a selection of photos whilst I was

697
00:37:19,880 --> 00:37:23,440
Speaker 2: out walking. At one point I drove tobacco smash and

698
00:37:23,800 --> 00:37:27,479
Speaker 2: I stopped outside a canola field and took some really

699
00:37:27,560 --> 00:37:30,040
Speaker 2: gorgeous photos of the canola. We all not know those

700
00:37:30,040 --> 00:37:33,400
Speaker 2: big fields of canola with the white glowy the yellow

701
00:37:33,880 --> 00:37:36,000
Speaker 2: kind of glow to them when the sun's setting. But

702
00:37:37,400 --> 00:37:39,560
Speaker 2: Google's Pixel phones and a lot of the new phones

703
00:37:39,600 --> 00:37:43,399
Speaker 2: now have things called magic eraser tools. But the next

704
00:37:43,520 --> 00:37:47,680
Speaker 2: level up from that is now you can place objects

705
00:37:47,840 --> 00:37:49,840
Speaker 2: into the scene. So not only can you take people

706
00:37:49,880 --> 00:37:52,520
Speaker 2: out of the scene, but one of the photos I've

707
00:37:52,560 --> 00:37:55,239
Speaker 2: seen she was the Canola shot with a shadow of me,

708
00:37:55,560 --> 00:37:57,880
Speaker 2: and then a photo of the same shot with the

709
00:37:57,960 --> 00:38:01,360
Speaker 2: shadow removed, so you can it's an you know, I

710
00:38:01,440 --> 00:38:03,640
Speaker 2: didn't like the shadow, but in some ways the shadow

711
00:38:03,719 --> 00:38:04,160
Speaker 2: is not bad.

712
00:38:04,400 --> 00:38:06,520
Speaker 1: That's you can see. Yeah, yeah, yeah, yeah, yeah.

713
00:38:06,719 --> 00:38:08,600
Speaker 2: I just used the magic eraser to get rid of

714
00:38:08,640 --> 00:38:10,880
Speaker 2: the shadow. It took me maybe three or four seconds.

715
00:38:11,880 --> 00:38:14,279
Speaker 1: That is amazing, isn't it. So if you've got like

716
00:38:14,360 --> 00:38:16,480
Speaker 1: an old photo with a couple of mates but one

717
00:38:16,560 --> 00:38:18,919
Speaker 1: of them to fuck with and you on him out, yep,

718
00:38:19,320 --> 00:38:20,960
Speaker 1: you can get rid of the fuck with and just

719
00:38:21,040 --> 00:38:22,960
Speaker 1: have you and your mates and go. This was us

720
00:38:23,080 --> 00:38:25,520
Speaker 1: in two thousand and six at the races.

721
00:38:25,800 --> 00:38:28,480
Speaker 2: But you're changing history and get rid of Jason Nay.

722
00:38:28,840 --> 00:38:31,400
Speaker 1: History remains the same, it's just the record of it

723
00:38:31,680 --> 00:38:32,360
Speaker 1: it changes.

724
00:38:32,680 --> 00:38:36,360
Speaker 2: Well, the thing is the concern is when we're introducing

725
00:38:36,480 --> 00:38:41,160
Speaker 2: these tools, what does it mean about the art of photography.

726
00:38:41,440 --> 00:38:43,600
Speaker 2: If I said to you, if I if I said,

727
00:38:43,800 --> 00:38:48,760
Speaker 2: Tam and Square think of an image related to conflict,

728
00:38:48,840 --> 00:38:50,840
Speaker 2: and Square, yeah, what we.

729
00:38:50,880 --> 00:38:54,280
Speaker 1: All think of that young that poor young girl running

730
00:38:54,320 --> 00:38:56,320
Speaker 1: in front of the tank, which was fucking one of

731
00:38:56,360 --> 00:38:57,120
Speaker 1: the most tragic.

732
00:38:57,320 --> 00:38:59,480
Speaker 2: And it was a guy. But yeah, that's was it?

733
00:38:59,560 --> 00:38:59,799
Speaker 1: A boy?

734
00:39:00,600 --> 00:39:03,319
Speaker 2: A guy? Yep, a student standing in front of the tank.

735
00:39:03,440 --> 00:39:06,160
Speaker 1: Resistant No, no, no, no, there's another photo of a

736
00:39:06,280 --> 00:39:08,480
Speaker 1: young naked child running.

737
00:39:08,200 --> 00:39:10,640
Speaker 2: And yes, that's the napalm girl. That's from Vietnam.

738
00:39:10,760 --> 00:39:12,160
Speaker 1: Yes, oh that's Vietnam, is it?

739
00:39:12,560 --> 00:39:15,680
Speaker 2: But again, there's two iconic visions. One is the student

740
00:39:15,760 --> 00:39:17,400
Speaker 2: standing in front of the tank in front of Townerman

741
00:39:17,400 --> 00:39:20,759
Speaker 2: Square ones the naked girl running away from napalm as

742
00:39:20,800 --> 00:39:23,440
Speaker 2: an explosion goes off in the background, you know, the

743
00:39:23,560 --> 00:39:27,520
Speaker 2: American flag being lifted, you know, the soldiers holding the flag.

744
00:39:27,880 --> 00:39:31,320
Speaker 2: So when we think of these snapshots of history and

745
00:39:31,440 --> 00:39:34,080
Speaker 2: then we can so easily change them, what does it

746
00:39:34,160 --> 00:39:36,960
Speaker 2: do to our perception of what the past is when

747
00:39:37,000 --> 00:39:39,080
Speaker 2: you can change it so readily and make it look

748
00:39:39,200 --> 00:39:43,680
Speaker 2: so real. And that's the concern now, that it's so

749
00:39:43,880 --> 00:39:47,839
Speaker 2: easy using these AI tools to change what we would

750
00:39:47,880 --> 00:39:50,719
Speaker 2: think of as a snapshot in time as reality, and

751
00:39:50,840 --> 00:39:53,160
Speaker 2: so people are concerned about this, and it was just

752
00:39:53,280 --> 00:39:56,239
Speaker 2: interested about this article. It was, you know, because you

753
00:39:56,360 --> 00:40:00,200
Speaker 2: can now take a standard streetscape and you could put

754
00:40:00,239 --> 00:40:03,440
Speaker 2: a smoking wreck of a burnt out car there. You know,

755
00:40:04,520 --> 00:40:06,920
Speaker 2: that's the concern that you could then post it as

756
00:40:06,960 --> 00:40:10,680
Speaker 2: fake news. There was an article recently, I think it

757
00:40:10,840 --> 00:40:13,439
Speaker 2: was during the American campaign that's on at the moment.

758
00:40:13,480 --> 00:40:15,640
Speaker 2: It might have been related to Biden. I think that

759
00:40:16,360 --> 00:40:21,400
Speaker 2: an American telco was fined a million dollars for running

760
00:40:21,400 --> 00:40:25,480
Speaker 2: an ad where they had a depiction of Joe Biden

761
00:40:25,719 --> 00:40:28,040
Speaker 2: and it was not actually him and it wasn't endorsing

762
00:40:28,080 --> 00:40:30,879
Speaker 2: the product. So it's so easy to do that now.

763
00:40:31,200 --> 00:40:33,439
Speaker 1: But this is everywhere now, I mean, this is every

764
00:40:33,600 --> 00:40:37,840
Speaker 1: I mean, Joe Rogan has his voice because there's so

765
00:40:38,080 --> 00:40:40,719
Speaker 1: much of his face and his image, his body is

766
00:40:41,480 --> 00:40:45,879
Speaker 1: you know, video audio. He's been used like constantly by

767
00:40:46,000 --> 00:40:53,400
Speaker 1: companies making ads where TIFFs just made something with Okay,

768
00:40:54,120 --> 00:40:57,520
Speaker 1: that's funny, Tiff, she just did a.

769
00:40:57,520 --> 00:41:00,360
Speaker 2: Photo of you and I on screen with the ponetograph

770
00:41:00,440 --> 00:41:01,600
Speaker 2: I took yesterday.

771
00:41:02,080 --> 00:41:05,360
Speaker 5: So I just pushed the profile picture from both of

772
00:41:05,440 --> 00:41:08,360
Speaker 5: your facebooks onto the photo you were describing to the

773
00:41:08,480 --> 00:41:11,520
Speaker 5: audience like you were there together having assentide.

774
00:41:11,160 --> 00:41:13,040
Speaker 1: Can you send that to me right now? Which is

775
00:41:13,120 --> 00:41:16,160
Speaker 1: not good for the audience for me, But yeah, I'm

776
00:41:16,200 --> 00:41:18,799
Speaker 1: with you, Patrick, But this is the door that we've opened, right,

777
00:41:18,960 --> 00:41:22,000
Speaker 1: I mean, now, how do you It doesn't change history,

778
00:41:22,080 --> 00:41:25,759
Speaker 1: because history is history, but it changes what we think

779
00:41:26,080 --> 00:41:29,520
Speaker 1: perhaps history was, you know, and I guess this is

780
00:41:29,600 --> 00:41:35,800
Speaker 1: about you know, it's like when, if what was it?

781
00:41:35,920 --> 00:41:38,360
Speaker 1: If you're go into chat GPT and you say, what

782
00:41:38,640 --> 00:41:42,160
Speaker 1: happened on whatever the day Donald Trump got shot? We've

783
00:41:42,160 --> 00:41:44,560
Speaker 1: spoken about this once, but what happened on this date

784
00:41:44,719 --> 00:41:51,040
Speaker 1: in Pennsylvania or whatever it was? And it says there

785
00:41:51,160 --> 00:41:55,160
Speaker 1: was an event, a former there was a shooting, a

786
00:41:55,320 --> 00:41:59,359
Speaker 1: former president was injured, but no one else was hurt.

787
00:42:00,000 --> 00:42:03,800
Speaker 1: But it doesn't say that, you know, a fire a

788
00:42:03,920 --> 00:42:08,000
Speaker 1: fireman was killed, other people were injured, and Donald Trump

789
00:42:08,120 --> 00:42:11,520
Speaker 1: got shot. It doesn't it because for whatever reason, it's

790
00:42:11,600 --> 00:42:15,800
Speaker 1: been programmed to be you know, pro certain things and

791
00:42:15,880 --> 00:42:19,800
Speaker 1: anti other things. So getting absolute objective data whether or

792
00:42:19,800 --> 00:42:22,920
Speaker 1: not we like that or don't like that or agree

793
00:42:23,040 --> 00:42:26,960
Speaker 1: with that, this is becoming a slipperer and slipprier landscape

794
00:42:27,040 --> 00:42:30,960
Speaker 1: because we don't know what is real because fiction is

795
00:42:31,040 --> 00:42:35,520
Speaker 1: being presented as fact from a range of kind of directions,

796
00:42:35,640 --> 00:42:39,360
Speaker 1: And yeah, it's hard. It's hard when you don't know

797
00:42:39,560 --> 00:42:42,319
Speaker 1: the truth and then you look something up, like I'm

798
00:42:42,560 --> 00:42:46,319
Speaker 1: constantly sent things by people like thirty times a day.

799
00:42:47,160 --> 00:42:49,319
Speaker 1: The crab is usually ten of them, by the way,

800
00:42:50,120 --> 00:42:54,160
Speaker 1: but people sending me research in inverted commas, and some

801
00:42:54,320 --> 00:42:56,360
Speaker 1: of them like, fuck, that's amazing. Then I go and

802
00:42:56,440 --> 00:42:59,520
Speaker 1: I look for the paper and the paper doesn't exist.

803
00:42:59,600 --> 00:43:03,080
Speaker 1: That is not real research, you know, like it didn't

804
00:43:03,160 --> 00:43:06,240
Speaker 1: this paper, this alleged paper, it's not real. It's a fraud.

805
00:43:06,280 --> 00:43:09,239
Speaker 1: There's not actually. But you can make things look like

806
00:43:09,440 --> 00:43:13,680
Speaker 1: science really easily now, and you can make things look

807
00:43:13,840 --> 00:43:16,960
Speaker 1: like historical events. As you're alluding to, what do you

808
00:43:17,080 --> 00:43:20,759
Speaker 1: think that what do you think that's going to look

809
00:43:20,920 --> 00:43:23,040
Speaker 1: like in five or ten years? Do you think we're

810
00:43:23,160 --> 00:43:25,080
Speaker 1: just not going to know what is real and what

811
00:43:25,239 --> 00:43:28,360
Speaker 1: is not? It's a frightening thought. I think that's a

812
00:43:28,440 --> 00:43:30,640
Speaker 1: really good question that we all should be asking at

813
00:43:30,640 --> 00:43:33,600
Speaker 1: the moment. You know, how do we spot a fake?

814
00:43:33,680 --> 00:43:35,560
Speaker 1: How do we spot a deep fake? How do we

815
00:43:35,640 --> 00:43:36,560
Speaker 1: spot fake news?

816
00:43:37,120 --> 00:43:38,719
Speaker 2: I don't know that there's an answer at the moment,

817
00:43:38,800 --> 00:43:43,239
Speaker 2: because technology is leap frogging legislation. You know, technology is

818
00:43:43,320 --> 00:43:46,080
Speaker 2: out there. Google's putting out their new phone and it's

819
00:43:46,280 --> 00:43:49,760
Speaker 2: using it's turned its magic erase button in to reimagine,

820
00:43:50,160 --> 00:43:53,920
Speaker 2: so reimagine the scene so that you can place objects

821
00:43:53,960 --> 00:43:57,200
Speaker 2: in there. So suddenly, you know, someone meditating is now

822
00:43:57,280 --> 00:44:00,120
Speaker 2: going to bond next to them. You know, yeah, hi,

823
00:44:01,040 --> 00:44:01,560
Speaker 2: you know what I mean?

824
00:44:01,800 --> 00:44:03,920
Speaker 1: You could yeah, yeah, yeah, yeah.

825
00:44:04,160 --> 00:44:06,760
Speaker 2: But it's seamless. You know what would have taken somebody

826
00:44:06,800 --> 00:44:09,560
Speaker 2: who was a real adept at photoshop. Well, that that

827
00:44:09,680 --> 00:44:12,400
Speaker 2: photograph that I sent you of the canola field. There

828
00:44:12,520 --> 00:44:14,160
Speaker 2: was grass on the side of the road. It was

829
00:44:14,280 --> 00:44:17,640
Speaker 2: dried yellow grass. But if I was to have photoshopped that,

830
00:44:18,000 --> 00:44:22,080
Speaker 2: I would have meticulously made sure the grass, the movement

831
00:44:22,120 --> 00:44:24,200
Speaker 2: of the grass was matched in me that I was

832
00:44:24,239 --> 00:44:27,319
Speaker 2: trying to remove the shadow from. But with that AI tool,

833
00:44:27,360 --> 00:44:30,000
Speaker 2: it did it in seconds. Yes, he did in a

834
00:44:30,120 --> 00:44:33,800
Speaker 2: lot of ways. But you know, and then again, the

835
00:44:33,880 --> 00:44:37,320
Speaker 2: other thing is I prefer the photo with my shadow

836
00:44:37,400 --> 00:44:40,360
Speaker 2: in it because it shows a shadow of me holding

837
00:44:40,400 --> 00:44:43,480
Speaker 2: a camera taking over the canola field. So the shadow

838
00:44:43,520 --> 00:44:45,759
Speaker 2: says a lot about what time of day it was,

839
00:44:46,200 --> 00:44:48,160
Speaker 2: where I was. I was by the side of the

840
00:44:48,239 --> 00:44:51,520
Speaker 2: road taking a photo over a fence at a really

841
00:44:51,560 --> 00:44:55,080
Speaker 2: beautiful scene. So I've lost something in that image by

842
00:44:55,560 --> 00:44:58,200
Speaker 2: being the shadow of me, I've removed me from the image.

843
00:44:58,600 --> 00:45:01,400
Speaker 1: Now. I watched an ap so the other night of Insight,

844
00:45:02,400 --> 00:45:04,200
Speaker 1: do you watch that? I feel like you'd be interested

845
00:45:04,280 --> 00:45:07,680
Speaker 1: in that. Anyway, they were talking about the education system

846
00:45:07,719 --> 00:45:10,200
Speaker 1: and they had students and they had professors, and they

847
00:45:10,280 --> 00:45:12,480
Speaker 1: had lecturers and they're just talking about the good and

848
00:45:12,560 --> 00:45:19,640
Speaker 1: bad and they had like current undergrad students and postgrad students,

849
00:45:19,760 --> 00:45:24,520
Speaker 1: like young people, and they set up people cheating using

850
00:45:24,680 --> 00:45:29,000
Speaker 1: chat GPT and they all said yes. And one girl

851
00:45:29,080 --> 00:45:32,160
Speaker 1: who wasn't identified as in they didn't show her face,

852
00:45:32,239 --> 00:45:35,280
Speaker 1: you could just see her from the back. She's like, essentially,

853
00:45:35,360 --> 00:45:39,000
Speaker 1: I'm doing my degree using chat GPT. We're talking about

854
00:45:39,120 --> 00:45:44,360
Speaker 1: undergrad but still it's like it's it's I think that

855
00:45:45,080 --> 00:45:47,279
Speaker 1: one of the things that's going to happen unless we

856
00:45:47,960 --> 00:45:50,400
Speaker 1: figure out a solution or an antidote, is that the

857
00:45:50,560 --> 00:45:57,359
Speaker 1: value of some tertiary qualifications is going to be severely downgraded,

858
00:45:58,200 --> 00:46:03,800
Speaker 1: because you know, people are getting qualifications that they didn't earn,

859
00:46:04,800 --> 00:46:08,520
Speaker 1: and that's you know, as the technology gets better and

860
00:46:08,640 --> 00:46:12,279
Speaker 1: it's harder and harder to figure out who wrote or

861
00:46:12,400 --> 00:46:18,400
Speaker 1: didn't write what. You know. Yeah, it's a very slippery

862
00:46:18,480 --> 00:46:21,040
Speaker 1: slope that we're on. And I don't know that. You know,

863
00:46:21,120 --> 00:46:23,320
Speaker 1: there are pros and cons, but I reckon the cons

864
00:46:23,360 --> 00:46:27,520
Speaker 1: are as you know, as significant and numerous as the

865
00:46:27,880 --> 00:46:28,560
Speaker 1: as the pros.

866
00:46:29,520 --> 00:46:32,719
Speaker 2: It is a challenge for educators and also I guess

867
00:46:32,920 --> 00:46:38,799
Speaker 2: for employers. If someone's presenting a region may with documentation

868
00:46:39,000 --> 00:46:41,160
Speaker 2: to say that they've passed a degree or whatever, or

869
00:46:41,160 --> 00:46:44,000
Speaker 2: if someone standing above a table with a scalpel in.

870
00:46:44,000 --> 00:46:48,560
Speaker 1: There, yeah, think about that. Fuck that. Oh yeah, but

871
00:46:48,600 --> 00:46:51,800
Speaker 1: there's a lot of yeah you would. Yeah, Like a

872
00:46:51,880 --> 00:46:53,960
Speaker 1: few people have said, do I use chat Jo Patti,

873
00:46:54,040 --> 00:46:56,120
Speaker 1: And I really can't. There's a few things where I

874
00:46:56,160 --> 00:46:59,120
Speaker 1: could maybe go, here's my intro, could you rewrite it?

875
00:46:59,239 --> 00:47:02,960
Speaker 1: But because of my research is original, it has to be,

876
00:47:03,320 --> 00:47:06,320
Speaker 1: you know. But I think there are certain things. But

877
00:47:06,440 --> 00:47:09,160
Speaker 1: I think also, you know, somebody who's writing an application

878
00:47:09,360 --> 00:47:11,440
Speaker 1: for a job, you can write it and then throw

879
00:47:11,480 --> 00:47:14,160
Speaker 1: it into chat GPT and I'll churn out a slightly

880
00:47:14,320 --> 00:47:18,640
Speaker 1: more polished version. I think that's a great application, you know.

881
00:47:18,920 --> 00:47:22,720
Speaker 1: And and the sad thing is that some jobs like copywriting,

882
00:47:24,120 --> 00:47:28,640
Speaker 1: they're probably to an extent going to become redundant because

883
00:47:28,920 --> 00:47:33,200
Speaker 1: it chat GPT can do as good or better writing

884
00:47:33,640 --> 00:47:35,040
Speaker 1: than the average punter.

885
00:47:35,840 --> 00:47:37,720
Speaker 2: What about using if you ever used grammarly?

886
00:47:40,040 --> 00:47:41,800
Speaker 1: No, but I know I know what it is.

887
00:47:41,880 --> 00:47:44,120
Speaker 2: Yeah, yeah, yeah, so what it does. It's not just

888
00:47:44,200 --> 00:47:47,000
Speaker 2: a spell checker. It's more of a phraseology checker. So

889
00:47:47,040 --> 00:47:49,239
Speaker 2: if you write a sentence, it will say, well, this

890
00:47:49,400 --> 00:47:51,560
Speaker 2: is not the best grammar you know, why don't you

891
00:47:51,719 --> 00:47:55,080
Speaker 2: rewrite it a certain way? And I mean in a

892
00:47:55,160 --> 00:47:58,480
Speaker 2: lot of ways. Then does that then stop or cease

893
00:47:58,680 --> 00:48:03,279
Speaker 2: being your original work, because making mistakes is part of

894
00:48:03,320 --> 00:48:04,200
Speaker 2: the learning process.

895
00:48:04,960 --> 00:48:08,040
Speaker 1: Yeah, yes, and no, I mean with something like grammar,

896
00:48:08,080 --> 00:48:12,279
Speaker 1: where it's just making something be more grammatically correct or

897
00:48:12,360 --> 00:48:16,040
Speaker 1: something perhaps flow a little better, but it's essentially your

898
00:48:16,120 --> 00:48:19,520
Speaker 1: words and ideas. I think that's a valuable tool. But

899
00:48:19,640 --> 00:48:23,600
Speaker 1: you know what, in twenty years, like who knows, who knows?

900
00:48:23,680 --> 00:48:27,480
Speaker 1: If people like I doubt we're going to be writing

901
00:48:27,600 --> 00:48:29,840
Speaker 1: on paper with pens in twenty years.

902
00:48:29,760 --> 00:48:32,359
Speaker 2: I doubt that they, Hey, I will be I use

903
00:48:32,400 --> 00:48:33,040
Speaker 2: a fountain pen.

904
00:48:33,440 --> 00:48:36,640
Speaker 1: I hope. So, but I don't think the majority, In fact,

905
00:48:36,680 --> 00:48:38,719
Speaker 1: I don't think we're going to be typing, because it's

906
00:48:38,760 --> 00:48:41,360
Speaker 1: going to be it's all going to be audio. What

907
00:48:41,440 --> 00:48:43,200
Speaker 1: do you call it? Where you just talk and it

908
00:48:43,320 --> 00:48:46,520
Speaker 1: types as you go dictation like those no you know

909
00:48:46,600 --> 00:48:48,840
Speaker 1: where you can talk into your phone and it just types.

910
00:48:48,960 --> 00:48:51,680
Speaker 1: Is that? What's Isn't there a more fancy name than

911
00:48:52,480 --> 00:48:55,880
Speaker 1: yeah whatever? That you know where? And that's becoming so

912
00:48:56,120 --> 00:48:58,239
Speaker 1: good where you think, why the fuck would I be

913
00:48:58,320 --> 00:49:00,560
Speaker 1: punching all these keys when I can talk and it

914
00:49:00,640 --> 00:49:01,320
Speaker 1: types for me.

915
00:49:01,719 --> 00:49:04,640
Speaker 2: I want thought to text, I don't even want to talk.

916
00:49:07,160 --> 00:49:09,799
Speaker 1: Well, you just took up with Elon Musk. I think

917
00:49:09,880 --> 00:49:12,880
Speaker 1: that's get yourself a neural link. We've spoken about that.

918
00:49:13,120 --> 00:49:16,399
Speaker 1: All right, let's do one more, Champion. Let's bring home

919
00:49:16,520 --> 00:49:19,680
Speaker 1: this fucking train wreck of an episode with a little

920
00:49:19,680 --> 00:49:20,560
Speaker 1: bit of gusto.

921
00:49:21,160 --> 00:49:23,560
Speaker 2: Oh really, I was going to give some people we're

922
00:49:23,600 --> 00:49:24,239
Speaker 2: talking about, you.

923
00:49:24,320 --> 00:49:25,799
Speaker 1: Know, whatever you want, whatever you want.

924
00:49:25,920 --> 00:49:29,040
Speaker 2: I was just thinking of some positive things about AI

925
00:49:29,400 --> 00:49:34,040
Speaker 2: and a feature that's built into Google Maps. Particularly in

926
00:49:34,080 --> 00:49:36,880
Speaker 2: the States, people are getting worried that those Google street

927
00:49:36,920 --> 00:49:39,879
Speaker 2: view photos are how criminals can case out your house

928
00:49:40,360 --> 00:49:43,080
Speaker 2: to see we've got cameras, or to see whether you're

929
00:49:43,160 --> 00:49:45,359
Speaker 2: living a nice suburb and they can look at your

930
00:49:45,360 --> 00:49:46,960
Speaker 2: backyard and all that sort of stuff. But you can

931
00:49:47,000 --> 00:49:51,840
Speaker 2: actually request now to have your house blurred in Google Maps.

932
00:49:52,280 --> 00:49:55,560
Speaker 2: There is one caveat Once it's blurred, it's blurred for good.

933
00:49:55,800 --> 00:49:57,520
Speaker 2: So what you do is you just basically go to

934
00:49:57,600 --> 00:50:00,680
Speaker 2: your property. You've got to prove that it's yours. You don't,

935
00:50:00,719 --> 00:50:03,760
Speaker 2: you know, I can't arbitrarily choose your place and suddenly

936
00:50:03,840 --> 00:50:07,400
Speaker 2: blur it out. But basically go to Wogle Maps and

937
00:50:07,440 --> 00:50:10,640
Speaker 2: you select the reporter problem. It's in the upper left

938
00:50:10,840 --> 00:50:12,520
Speaker 2: corner of the screen, and then you've got to answer

939
00:50:12,520 --> 00:50:15,160
Speaker 2: a whole lot of questions and submit the request, and

940
00:50:15,280 --> 00:50:17,279
Speaker 2: then what it will do is it will blur the

941
00:50:17,400 --> 00:50:20,719
Speaker 2: photo of your property. So if people are concerned about that,

942
00:50:20,880 --> 00:50:23,360
Speaker 2: So that's another really cool because you've probably noticed in

943
00:50:23,520 --> 00:50:26,279
Speaker 2: Google Maps too that all the number plates are blurred out.

944
00:50:26,440 --> 00:50:28,600
Speaker 2: You know that's not done by you know, some pers

945
00:50:28,800 --> 00:50:31,839
Speaker 2: sitting there using a magic eraser tool. That's done by

946
00:50:31,880 --> 00:50:34,520
Speaker 2: AI to do that, and also blurs out faces. You

947
00:50:34,600 --> 00:50:37,560
Speaker 2: don't normally get close up shots of people's faces in

948
00:50:38,000 --> 00:50:39,560
Speaker 2: that Google mapping software either.

949
00:50:39,840 --> 00:50:42,160
Speaker 1: Well maybe the guy who lives I'm not even going

950
00:50:42,239 --> 00:50:44,040
Speaker 1: to say where you live. But the guy who lives

951
00:50:44,120 --> 00:50:47,880
Speaker 1: in rural Victoria and leaves his doors unlocked when he

952
00:50:48,000 --> 00:50:52,480
Speaker 1: goes out, maybe he should rethink that. Yeah, maybe maybe

953
00:50:52,840 --> 00:50:55,440
Speaker 1: I don't know. Are there many? Are there many crooks

954
00:50:55,440 --> 00:50:58,640
Speaker 1: where you live? I wouldn't think they're too much tied

955
00:50:59,000 --> 00:51:00,360
Speaker 1: love and hugs and muny beans.

956
00:51:00,360 --> 00:51:02,840
Speaker 2: Aren't they know what happens is people. We've had some

957
00:51:02,960 --> 00:51:05,520
Speaker 2: instances of a few break ins recently. To be honest,

958
00:51:05,560 --> 00:51:07,279
Speaker 2: I probably shouldn't be telling people how to leave my

959
00:51:07,520 --> 00:51:09,080
Speaker 2: door open all the time.

960
00:51:09,960 --> 00:51:15,360
Speaker 1: No, no, we'll definitely die. We'll definitely start locking it.

961
00:51:15,600 --> 00:51:17,359
Speaker 2: No, I lock it when I look. I do lock

962
00:51:17,400 --> 00:51:19,040
Speaker 2: it if I'm going away for any length of time.

963
00:51:19,080 --> 00:51:20,360
Speaker 2: But if I'm just going down the street to the

964
00:51:20,360 --> 00:51:22,239
Speaker 2: post office in the door?

965
00:51:22,640 --> 00:51:28,000
Speaker 1: Oh wow, Patrick, how do people what is your home address?

966
00:51:28,040 --> 00:51:30,960
Speaker 1: By the way, And failing that, how can people follow

967
00:51:31,000 --> 00:51:33,160
Speaker 1: you online or connect with you online?

968
00:51:33,520 --> 00:51:36,279
Speaker 2: Did you go to websites now, dot com dot au?

969
00:51:36,400 --> 00:51:38,080
Speaker 2: You could kind of stalk me there. You can see

970
00:51:38,080 --> 00:51:40,160
Speaker 2: what I look like and then decide that you might

971
00:51:40,200 --> 00:51:44,520
Speaker 2: want to call me and have a chat. Wow wow, Well, actually,

972
00:51:44,600 --> 00:51:46,560
Speaker 2: you know, it is one of the things I really

973
00:51:46,640 --> 00:51:50,200
Speaker 2: love about what I do is working with smaller business people,

974
00:51:50,880 --> 00:51:52,920
Speaker 2: you know, because what.

975
00:51:53,000 --> 00:51:56,480
Speaker 1: About big business people like you know, people over six foot.

976
00:51:56,719 --> 00:52:01,440
Speaker 2: Yeah, yeahle raw dogging because that's what they do with

977
00:52:01,520 --> 00:52:03,160
Speaker 2: their males like you.

978
00:52:03,719 --> 00:52:08,279
Speaker 1: No, I told you Tif's more alpha male than me.

979
00:52:08,400 --> 00:52:11,279
Speaker 2: But yeah, go on. I'm just going to say, do

980
00:52:11,400 --> 00:52:13,480
Speaker 2: you find though, because I know you get a lot

981
00:52:13,520 --> 00:52:15,680
Speaker 2: of joy and TIF You're the same with your PT

982
00:52:15,800 --> 00:52:18,440
Speaker 2: stuff because it's one on one as opposed to doing

983
00:52:18,480 --> 00:52:21,200
Speaker 2: a presentation to a room of fifty or one hundred people.

984
00:52:21,480 --> 00:52:26,920
Speaker 2: There's something really not intimate but kind of uplifting about

985
00:52:27,200 --> 00:52:29,480
Speaker 2: being able to work with someone one to one. So

986
00:52:29,840 --> 00:52:32,400
Speaker 2: I think, yeah, anyway, but I know I enjoy that.

987
00:52:33,000 --> 00:52:35,600
Speaker 1: I enjoy that. This is a terrible segue, but it's

988
00:52:35,800 --> 00:52:38,719
Speaker 1: kind of in line with that. I just launched a

989
00:52:38,840 --> 00:52:43,120
Speaker 1: new mentorship, which I've never done, for fifteen people ten weeks.

990
00:52:44,080 --> 00:52:46,000
Speaker 1: And it's just like, because I do a lot of

991
00:52:46,040 --> 00:52:49,360
Speaker 1: stuff with big audiences, and I'm quite excited about working

992
00:52:49,440 --> 00:52:54,360
Speaker 1: with only fifteen people and you know, for me is

993
00:52:54,480 --> 00:52:56,560
Speaker 1: a small group and it's two and a half months,

994
00:52:56,640 --> 00:52:59,520
Speaker 1: so it's an extended period of time and I'm quite

995
00:52:59,560 --> 00:53:02,520
Speaker 1: interested to see how that's going to go. You know

996
00:53:02,680 --> 00:53:06,600
Speaker 1: because it gives everyone an opportunity every session to talk

997
00:53:06,680 --> 00:53:10,399
Speaker 1: and ask questions. You're not just one block of nine

998
00:53:10,520 --> 00:53:12,920
Speaker 1: hundred blocks on a range of zoom screens.

999
00:53:13,640 --> 00:53:16,560
Speaker 2: You know, so well, they need a five minute tai

1000
00:53:16,680 --> 00:53:19,000
Speaker 2: chi kind of you know, workout session.

1001
00:53:19,280 --> 00:53:22,440
Speaker 1: I reckon we should No, I really do think we

1002
00:53:22,520 --> 00:53:26,440
Speaker 1: should do something. We should do a are you project?

1003
00:53:27,200 --> 00:53:29,040
Speaker 1: Patrick collab.

1004
00:53:31,760 --> 00:53:34,480
Speaker 2: On zoom sounds good. Yeah, you can count me on

1005
00:53:34,480 --> 00:53:34,719
Speaker 2: on that.

1006
00:53:35,320 --> 00:53:39,200
Speaker 1: Hm hm hmm. I wonder how that would have to

1007
00:53:39,280 --> 00:53:42,000
Speaker 1: be live. I guess we could do it live with

1008
00:53:42,080 --> 00:53:44,760
Speaker 1: whoever wants to do it live, record it. We probably

1009
00:53:44,760 --> 00:53:46,880
Speaker 1: should talk about this off the show a bit. Fuck it,

1010
00:53:47,280 --> 00:53:50,200
Speaker 1: let's have a staff meeting. Look at Tiff. What is

1011
00:53:50,280 --> 00:53:52,440
Speaker 1: Tiff looking at? What are you looking at? Down there?

1012
00:53:54,040 --> 00:53:56,400
Speaker 3: Got cat hair stuff under the bottom of itself.

1013
00:53:57,040 --> 00:54:00,160
Speaker 1: She spent ninety percent of the phone looking at I'm

1014
00:54:00,160 --> 00:54:01,960
Speaker 1: looking down What are you doing down there? That's got

1015
00:54:02,000 --> 00:54:02,520
Speaker 1: your attention?

1016
00:54:04,280 --> 00:54:08,560
Speaker 2: Oh god, oh wow, it's like the belly button fluff.

1017
00:54:10,600 --> 00:54:13,960
Speaker 1: It's a terrible way to end a podcast. Patrick, just

1018
00:54:14,040 --> 00:54:15,600
Speaker 1: tell people your web address again.

1019
00:54:15,640 --> 00:54:19,680
Speaker 2: Place websites now dot com, dot au because no one

1020
00:54:19,719 --> 00:54:21,160
Speaker 2: can spell genesis effects.

1021
00:54:21,560 --> 00:54:23,800
Speaker 1: Yeah, this will be our last episode of this everyone,

1022
00:54:23,880 --> 00:54:26,719
Speaker 1: so I hope you enjoyed them all. It's been great.

1023
00:54:27,480 --> 00:54:30,000
Speaker 2: Thanks team, Thanks to the two people who kept listening.

1024
00:54:31,880 --> 00:54:35,840
Speaker 1: Oh god, it's just descending, isn't it. It is what

1025
00:54:36,000 --> 00:54:41,239
Speaker 1: we do. It's devolving, it's evolving. It's the opposite of AI. Yeah,

1026
00:54:42,920 --> 00:54:45,760
Speaker 1: it's the antithesis of what is happening.