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Speaker 1: I get a Champs, Welcome to Another and Storm on

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Speaker 1: the show Tiffany and Cook Patrick James Bnillo on a

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Speaker 1: fortnightly basis, we're all here and Patrick, can you just

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Speaker 1: tell everybody what we were just talking about? And the

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Speaker 1: new I didn't even know there was a higher tech

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Speaker 1: version of Monopoly than the one I grew up with

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Speaker 1: in the sixties and seventies, but apparently there's Monopoly with

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Speaker 1: credit card now.

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Speaker 2: It's probably twenty years old. It's not that high tech, right,

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Speaker 2: So it's a variant on the Monopoly craze because you know,

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Speaker 2: they started coming out with monopoly themes. So it will

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Speaker 2: be no surprise to anybody that I have a doctor

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Speaker 2: who Monopoly, a James Bond Monopoly, and the Simpsons Monopoly.

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Speaker 2: And the Simpsons is my favorite monopoly because you have

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Speaker 2: a credit card reader and instead of handing over cash,

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Speaker 2: you put your credit card. So if I'm transferring money

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Speaker 2: to Tiff, I would put my credit card on one

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Speaker 2: side and her credit card on the other side, picturing

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Speaker 2: Homer Simpson, and then the money would just go off

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Speaker 2: my card and on the tips card. And it's a

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Speaker 2: lot more it's a lot more fun to play and

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Speaker 2: you're not, you know, exchanging cash and all that sort

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Speaker 2: of stuff. But it really is a lot of fun.

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Speaker 2: But it brings out the best. No, it doesn't bring

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Speaker 2: out the best. It brings out to the actual worst

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Speaker 2: in people. I think I can't find it. I can't

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Speaker 2: find any positive things that happened out of Monopoly because scheming, conniving,

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Speaker 2: double dealing, you know, the whole lot, It just all comes.

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Speaker 2: What was your family, I mean, I guess, did you

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Speaker 2: play with mum and dad Craig?

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Speaker 1: I did? I did, And we were talking before we

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Speaker 1: started recording. I think Tiff used to be the boot.

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Speaker 1: I was the car a fair bit. But just tell

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Speaker 1: everyone about the sound effects that come with the simple well.

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Speaker 2: Okay, yeah, So if I'm transferring money to Tiff and

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Speaker 2: I've lost, you know, a bit of money, then Homer Simpson,

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Speaker 2: once it takes the money off my card, he does

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Speaker 2: this doll and then when it goes into TIFF's card,

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Speaker 2: it goes whoo. So it is a lot of fun.

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Speaker 2: And I was ship. I was always the ship. That

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Speaker 2: was my fun playing Monopoly.

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Speaker 1: Yeah, I reckon if us three played, it probably wouldn't

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Speaker 1: end well. I think someone's mum would have to come

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Speaker 1: in and just take over, you know.

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Speaker 2: Yeah, my big brother and he used to win at

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Speaker 2: Monopoly all the time. Coincidentally, he was the banker all

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Speaker 2: the time, being six years older. And when I was

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Speaker 2: in Canada many years later, he lives in Canada now

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Speaker 2: and I went and visited him as an adult. We

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Speaker 2: talked about playing games as kids, and it's like, how

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Speaker 2: come you always won at Monopoly? He said, because I cheated.

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Speaker 3: High childhood, he cheated and he would get He had

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Speaker 3: this thing called a death street, So if you had

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Speaker 3: all the properties on one row, he called it his

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Speaker 3: death street.

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Speaker 2: You're approaching my death street, And yeah, he just cheated

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Speaker 2: for the entire time.

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Speaker 1: Well isn't it funny when you think about the simplicity

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Speaker 1: of the games that we played when we were kids,

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Speaker 1: I mean even pre pre tech, you know, and you

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Speaker 1: look back and you're like, how the fuck was I

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Speaker 1: interested in that? And how did that? But it was

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Speaker 1: at the time, it was like snakes and ladders? What

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Speaker 1: a stupid game? What a stupid game. I was enamored

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Speaker 1: for hours. It's like, oh, look at me, or what

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Speaker 1: about in the same ballpark, not a game but a

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Speaker 1: thing that kids played with do you remember the most

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Speaker 1: joyful and painful toy of all time? Click clacks?

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Speaker 2: Oh oh, they used to click claques, so you just

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Speaker 2: slapped them and they clacked. Yeah.

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Speaker 1: Yeah, but remember they had like they were made of

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Speaker 1: like a hard marble stuff.

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Speaker 2: Wouldn't they were wooden with it?

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Speaker 1: No? No, no, no, no, no no, no, you're no.

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Speaker 1: I'm talking about balls on the end of like string. Yes,

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Speaker 1: do you remember those? It's just about choke to death?

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Speaker 1: I do, but yes, if not testicles if like like

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Speaker 1: like a child's toy we're talking about, except they were dangerous. Yeah,

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Speaker 1: with these clicks. There's eight people out like, can you

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Speaker 1: talk for a minute? Two, I'm going to look up

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Speaker 1: click clacks.

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Speaker 2: Okay.

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Speaker 4: I want to share my most vivid Monopoly memory. Oh,

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Speaker 4: the only one I can recall My brother, he's seven

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Speaker 4: years older, and I remember a day when we lived

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Speaker 4: in this particular house and he said, do you want

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Speaker 4: to play Monopoly? And I just loved my brother. I

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Speaker 4: idolized him, and he had his girlfriend staying over, so

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Speaker 4: I was like yes, and so he goes, all right,

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Speaker 4: we'll come and set it up and we'll play it.

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Speaker 4: And he made me set up the monopoly board, and

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Speaker 4: then he locked me out of his room and he

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Speaker 4: played it with his girlfriend and I sat banged on

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Speaker 4: the door and cried and cried and can't I still

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Speaker 4: feel the heartbreak in my heart?

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Speaker 2: Oh my god, it's terrible when you're twenty.

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Speaker 1: I want you to go right now to go into Google.

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Speaker 1: Go into doctor Goog's click click clacks original. Oh they're

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Speaker 1: both doing now, Patrick, you can't do it as well.

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Speaker 1: You have to talk to me, so yeah.

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Speaker 2: That's right, there's someone has to talking to yourself.

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Speaker 4: Yeah.

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Speaker 1: Yeah. They were banned because kids were breaking their wrists.

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Speaker 2: They're made of glass or a really rigid plastic. Don't

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Speaker 2: that looks awful? That looks so coorous?

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Speaker 1: Yeah yeah, and those things were see now you understand you.

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Speaker 2: Know what else was dangerous?

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Speaker 5: What did you do with click clacks?

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Speaker 1: Okay? So Ti, if you went like this, so you

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Speaker 1: just shake and the balls would go around, click on

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Speaker 1: top and back together. Go into the video like is

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Speaker 1: they're not a video?

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Speaker 4: There? Oh?

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Speaker 1: This is absolutely a terrible listening, worst podcast. Can you

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Speaker 1: stop doing what I'm telling Tiff to do? Can you

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Speaker 1: stay in the conversation?

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Speaker 2: Can you Okay, so tell me click clacks? Look at

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Speaker 2: my T shirt. What am I wearing?

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Speaker 1: Well, you look like you're wearing a spaceman in space

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Speaker 1: with one thousand balloons holding him up.

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Speaker 2: And the balloons are in the shape of planets, but

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Speaker 2: they look a little bit like click clags, So I

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Speaker 2: was getting at.

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Speaker 1: Also terrible for an audio only experience. You do better.

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Speaker 2: Yeah, it's my favorite T shirt. It's just an astronaut

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Speaker 2: flying in space being held up by balloons that look

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Speaker 2: like their planets.

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Speaker 1: What about all the ham strings we'll get off games

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Speaker 1: in a moment. TIF Have you found it? Yeah? Yeah, yeah,

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Speaker 1: fuck that. What about all the hamstrings and quads and

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Speaker 1: lower backs that were fucked playing Twister mainly by adults

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Speaker 1: back in the day.

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Speaker 2: More than likely. I was thinking, as you were talking

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Speaker 2: about snakes and ladders, how cool would it be to

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Speaker 2: have a Twister sized snakes and ladders that you could

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Speaker 2: walk along. That would be fun, And then when you

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Speaker 2: get to the snake, you've got to run all the

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Speaker 2: way down to the bottom of the board. That could

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Speaker 2: be fun and dangerous.

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Speaker 1: Well, also good for fit. Well, there's life size, like

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Speaker 1: grown up sized chessboards.

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Speaker 2: Yeah, really fast, We've got one in the land. We've

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Speaker 2: got one in the street outside our mechanics hall. They

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Speaker 2: have chicken. Yeah, I've played it a few times. It's

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Speaker 2: really fun. Was that checkers or chess? It is chess,

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Speaker 2: I can I can confidently say the last game I

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Speaker 2: played of chess I won.

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Speaker 1: Wow.

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Speaker 2: Yeah.

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Speaker 1: Can I tell you I've never played a game of chess? Like?

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Speaker 1: We never had it. It just wasn't in our orbit

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Speaker 1: growing up. Tiff, can you play chess? Yeah?

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Speaker 5: I played it with my police to play with my grandfather.

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Speaker 2: That's scrimmage. It's nice with cribbage.

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Speaker 5: Yeah, I couldn't remember how to play that now.

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Speaker 2: I don't know what that is.

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Speaker 1: I used to cribbage play like. It's like on a

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Speaker 1: timber board with all these little holes in it, and

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Speaker 1: you put matches in that tiff day, Yeah, and you play, yeah,

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Speaker 1: and when you win, you move your matches further along

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Speaker 1: the board. And my old man used to apply forgot

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Speaker 1: about that. Me and Ron used to play fucking hell.

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Speaker 1: That was the That was how Ron and I bonded.

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Speaker 1: I might have to take up I'm thinking of going

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Speaker 1: up there today. He's fucking eyes all light up like

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Speaker 1: a Christmas tree. That'd be great crib board.

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Speaker 5: That would pretty cool.

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Speaker 1: Yeah, we haven't played since I don't know, probably have

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Speaker 1: played forty five years. I'm sure he remembers how Yeah,

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Speaker 1: but he gets a little bit obsessed with the Telly,

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Speaker 1: so trying to get his attention these days as a challenge.

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Speaker 2: But yeah, so can I just round off the whole

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Speaker 2: The Simpsons Monopoly so still set up on my dining

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Speaker 2: room table because me and the fifteen year old. So

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Speaker 2: the parents have gone out of the game because well,

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Speaker 2: his mum just packed up and said, look, I'm not

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Speaker 2: getting any houses. I'm going to give up now. But

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Speaker 2: I talked to him to staying and playing for a

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Speaker 2: bit longer, but trained for my own benefit. Yeah, I

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Speaker 2: ended up getting a house at the one house she

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Speaker 2: had so I could form a set. But it brings

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Speaker 2: the worst stouted people. And now Chris and I are

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Speaker 2: looking daggers at each other across the table. It's all

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Speaker 2: set up ready to play once I finished the podcast,

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Speaker 2: and it's going to end in tears.

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Speaker 1: You just now it's going to end into you.

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Speaker 2: It's it is fun.

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Speaker 1: It doesn't bring out the worst in everyone, So just

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Speaker 1: maybe there are nice people out there. The three of

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Speaker 1: us played, it would be a fucking disaster. It could

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Speaker 1: be the beginning of the end. Whatever happened to those

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Speaker 1: podcasts that Patrick and Tiff and craigily.

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Speaker 2: But someone was recounting a story last night about it.

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Speaker 2: A couple they knew were a sister and brother were

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Speaker 2: playing a game and because it went pear shape, they

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Speaker 2: hadn't spoken to each other for twelve years.

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Speaker 1: Yeah, that doesn't It's like, yeah, it's it's funny, like

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Speaker 1: I get jealous of people who have brothers and sisters.

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Speaker 1: Not jealous, but I've always you know, it's like you

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Speaker 1: don't know, like you don't because I've never had one.

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Speaker 1: It's not like I had a brother or sister and

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Speaker 1: lost them.

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Speaker 2: I wish I could have a brother or sister so

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Speaker 2: I could be estranged too. No.

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Speaker 1: I just like when someone's got a brother and they

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Speaker 1: don't talk to their brother, I'm like, why the fuck?

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Speaker 1: I would love a brother, Yeah, love a sister.

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Speaker 2: Yeah. I occasionally played many.

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Speaker 1: The idea is better than the reality. Huh.

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Speaker 2: Well, look the dynamics of you know, interactions with people.

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Speaker 2: You know, I think about my I've got three brothers,

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Speaker 2: and my youngest brother's disabled, so I had him up

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Speaker 2: last week. I was really cute actually, because I've told

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Speaker 2: you about my brother before, but his care and I

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Speaker 2: arranged to meet up and not tell him that he

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Speaker 2: was coming to my place on the train. And then

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Speaker 2: I got into a hotel called the Wallace Hotel, which

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Speaker 2: is just down the road from us, and they have

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Speaker 2: a tram, one of those old green trams in their

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Speaker 2: garden space, and so he got to hang out and

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Speaker 2: have lunch and we hung out on the tram. He

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Speaker 2: was very excited.

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Speaker 1: How excited was he when he saw you? Straight up?

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Speaker 2: He was, yeah. He got off. I mean because she

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Speaker 2: kept saying to him, I know we're not seeing Patrick,

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Speaker 2: keep saying we're going to Patrick's. Are we going to Patrick's?

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Speaker 2: Were on the Bellerrat train that's on the way to

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Speaker 2: Patrick's place. No, No, we're meeting up with a friend.

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Speaker 2: And then when he got off the train, he was

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Speaker 2: pretty excited. And I had Fritz with me as well,

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Speaker 2: so he's he's a bit scared of dogs, but he

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Speaker 2: always says to me, oh, I like cats. When he

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Speaker 2: sees Fritz always sits next to him, because it doesn't

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Speaker 2: say he doesn't like dogs. He says, I like cats.

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Speaker 1: And now we know now he knows that his care

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Speaker 1: is a liar. Yeah, and he cannot trust her.

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Speaker 2: Patrick, you know what you can't trust Crago?

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Speaker 1: Well?

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Speaker 2: Android phones? No, I'm kidding, you can trust Android. I

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Speaker 2: was trying to do a segue to actually talk about technology.

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Speaker 1: Why can't we trust Android?

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Speaker 2: No, we can trust Android phones. But they turn themselves

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Speaker 2: off now after three days if you haven't turned them

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Speaker 2: off automatically.

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Speaker 1: Is that a good thing? Well, that's a good thing.

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Speaker 2: Actually is a good thing.

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Speaker 1: Yeah.

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Speaker 2: So it's well, this rolled out with Apple phones last

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Speaker 2: year where if you just leave them in and don't

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Speaker 2: actually shut them down, because it's a number of implications

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Speaker 2: with phones. So if you want to apply a security

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Speaker 2: patch or an update, you actually have to do a

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Speaker 2: full reboot for them to apply that update, so whether

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Speaker 2: it's a security updates. So that's one good reason. And

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Speaker 2: in fact, I think last year Anthony Albaneze he came

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Speaker 2: out and said everybody needs to turn their phones off regularly,

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Speaker 2: like once a week. It was an interesting it was

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Speaker 2: related to security. But the other thing too is that

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Speaker 2: if your phone is unlocked, certain data is still available

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Speaker 2: because when you do a full shut down before you

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Speaker 2: put your pin code in, all the data is locked down,

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Speaker 2: but as soon as you open up your phone, it

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Speaker 2: actually makes it more vulnerable. So that's one of the

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Speaker 2: reasons that Google is saying, we'll look do a full

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Speaker 2: restart of your phone, to the point where they're now

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Speaker 2: forcing their users to do a full restart of their

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Speaker 2: phone if they haven't done so in the last three days.

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Speaker 1: I always get scared at one come back on when

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Speaker 1: I turn it right off.

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Speaker 2: Or really, you do back up your phone? They don't

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Speaker 2: you do you have a cloud on? He's gone blank?

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Speaker 2: Have you got that means?

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Speaker 1: No? I don't know what that means.

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Speaker 2: No, but you you back up? I mean you have

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Speaker 2: some sort of back look if someone would have done

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Speaker 2: it for you, I'm sure I don't know. Well, let

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Speaker 2: me just suggest that perhaps you look at your backup

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Speaker 2: settings on your phone and make sure it does back up.

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Speaker 2: That wave your phone doesn't come back on, you can

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Speaker 2: get a new phone, put your details in, and then

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Speaker 2: all your data will magically come down off the cloud.

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Speaker 1: Like what That sounds like a good idea. Maybe I

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Speaker 1: should start doing that.

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Speaker 2: No, I'm sure you do. I'm sure one of your

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Speaker 2: able assistants has done that for you.

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Speaker 1: I'm sure are you seem nervous.

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Speaker 2: I am a little bit nervous because I worry for you.

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Speaker 2: I'd just like to know that you've got everything ready

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Speaker 2: and backed up in the cloud. I can do that

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Speaker 2: with you. I can talk you through it after the podcast.

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Speaker 1: All right, maybe maybe tell us about Google and dolphins.

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Speaker 2: Oh see, this is so cool. Researchers who work in

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Speaker 2: the area of dolphin talk and dolphins speak. I mean

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Speaker 2: that is kind of a research area. What what they've

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Speaker 2: been doing is working with Google because this has been

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Speaker 2: going on for more than forty years, so research is

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Speaker 2: in the field of dolphin and monitoring dolphins. Have been

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Speaker 2: recording the noises that dolphin dolphins make. Now there's squeaking sounds.

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Speaker 2: I don't even think the noise that Flipper made was

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Speaker 2: actually a real dolphin. I think it was Anyway, I'm

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Speaker 2: digressing somewhat. But what's been happening is they've now been

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Speaker 2: using AI models to interpret the noises and use the

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Speaker 2: data to try to predict what the next sound might

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Speaker 2: be that the dolphin makes based on all those forty

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Speaker 2: years of recordings. And the reason they're using pixel phones

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Speaker 2: is because and currently they're using pixels sixers and they're

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Speaker 2: about top grade to pixel nines. But the reason they're

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Speaker 2: using them is, well, they're cheap in terms of equipment.

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Speaker 2: They're not really expensive. But you can use a recorder

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Speaker 2: on a phone now, and because AI can clean up

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Speaker 2: that data so easily or that audio, you don't need

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Speaker 2: to have high quality equipment. You can just use a

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Speaker 2: mobile phone. And what they're hoping is that they can

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Speaker 2: get to a point that they can see patterns and

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Speaker 2: at some point be able to then play those noises

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Speaker 2: back to the dolphins in a way of a rudimentary

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Speaker 2: communication with them, which is pretty exciting stuff. And I

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Speaker 2: think that's where AI has come to the fore. It's

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Speaker 2: put a lot of really interesting number crunching and interpretive

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Speaker 2: data into the mix, so that you can take really

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Speaker 2: a really broad set of figures or numbers or data,

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Speaker 2: in this case, recordings of dolphins over forty years to

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Speaker 2: establish those sorts of patterns that really it's very hard

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Speaker 2: for human beings to do. But when you've got a

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Speaker 2: language model that can interpret that using AI, and then

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Speaker 2: having devices that we have on our you know, we

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Speaker 2: carry around with this. We're carrying around basically supercomputers connected

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Speaker 2: to the largest database in the history of the planet,

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Speaker 2: so you know, think about what we can do with

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Speaker 2: our phones, and then now they're using it to hopefully

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Speaker 2: communicate with dolphins. At some point.

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Speaker 1: Yesterday I was pursuant to this, because I'm going to

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Speaker 1: extrapolate off this. I was talking to this lady who

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Speaker 1: makes my coffee quite often at the cafe. Her name's Keano.

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Speaker 1: She's Japanese and English is her second language, and she's great,

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Speaker 1: but she struggles with some things, and so you've got

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Speaker 1: to talk slowly, and she was asking me some questions.

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Speaker 1: I was explaining to her the idea of metacognition and

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Speaker 1: a few other things like thinking about thinking and all

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Speaker 1: of this stuff, and I went and so I just

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Speaker 1: went into chat GPT and said, is what is metacognition?

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Speaker 1: What is theory of mind? And it spews out this answer,

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Speaker 1: and I said, now translate that into Japanese, and then

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Speaker 1: I gave her my phone and she's like, ah, like

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Speaker 1: so straight away, here's a Japanese explanation of these things

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Speaker 1: that we were talking about. But I couldn't really clearly

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Speaker 1: explain to you, and now here it is in your language.

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Speaker 1: And I'm sure if I had said you know, give

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Speaker 1: me the reply verbally in Japanes I should have thought

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Speaker 1: of that. But imagine if you can say to your

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Speaker 1: phone or chat gp TE, tell this dolphin, I want

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Speaker 1: to play ball with it. How good would that be?

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Speaker 2: I was just thinking how cool it was that you

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Speaker 2: didn't have to give her a fish or wet her down.

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Speaker 2: So that was one benefit of being in a cafe

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Speaker 2: without a dolphin.

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Speaker 1: What what tis got? It didn't it? I kind of

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Speaker 1: think that's offensive. I'm not sure spoken and authorized by Patrick.

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Speaker 2: Because if you're talking to a dolphin and they're out

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Speaker 2: of the water kind of talking to you, then you've

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Speaker 2: got to wet them down and feed them fish. But

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Speaker 2: you don't have to do that with people in cafes.

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Speaker 1: Again, I don't agree with that comment at all everyone,

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Speaker 1: especially to that lovely lady who made my coffee. I

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Speaker 1: think Patrick, you'll get all these contact details at the

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Speaker 1: end of the show when we.

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Speaker 2: Talk about getting contact details, because that's a really good

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Speaker 2: segue into a kind of a scary little bit of

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Speaker 2: research that's being done at the moment into how people

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Speaker 2: are using AI to do reverse image searches. So when

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Speaker 2: we take a photograph on a digital device, these days

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Speaker 2: with phones, it's pretty amazing because you can store a

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Speaker 2: lot of data about the device you took it on,

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Speaker 2: the time you took it on, but also the geographical location,

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Speaker 2: which can be really useful. So we recently did a

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Speaker 2: tree walk in the town that I live in, and

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Speaker 2: we looked at it's called a historic tree walk, and

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Speaker 2: we looked at twenty nine. We had an arborist come

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Speaker 2: out looked at twenty nine trees of significance, and there

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Speaker 2: was trees of significance for lots of reasons. They might

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Speaker 2: have been the type of tree it was, it was

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Speaker 2: a rare tree, or it might have been planted at

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Speaker 2: the primary school because it was in remembrance of a

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Speaker 2: person who was a teacher at the school that died

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Speaker 2: during the First World War. So we're talking some really

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Speaker 2: interesting stories. And then what we did was I took photographs,

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Speaker 2: We did the tree walk, I took photos, and then

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Speaker 2: we put it all online. We create a QR code

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Speaker 2: so people can do the walk. But to get those locations,

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Speaker 2: as you can imagine, I don't really know a lot

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Speaker 2: about trees, I can come out and admit and so

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Speaker 2: I did the walk and it's like where the hell

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Speaker 2: was I when I took that photo. I went back

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Speaker 2: into the what we call the metadata of that photo,

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Speaker 2: and I was able to just pinpoint exactly where that

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Speaker 2: tree was on Google Maps, so then I could add

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Speaker 2: it to a digital walk around our town. So that's handy.

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Speaker 2: But there's more than just metadata. What people are doubt

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Speaker 2: now doing is they're using Instagram posts. They're using a

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Speaker 2: photograph of you sitting at a cafe talking to the

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Speaker 2: person about dolphins. And the AI model is able to

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Speaker 2: not just look at the metadata, but it looks at

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Speaker 2: where you were, what's in the background, even if it's

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Speaker 2: blurry and it maybe a tram was going past. It's

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Speaker 2: now able to and this is this concerning thing, is

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Speaker 2: that they can work out where you were and the

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Speaker 2: location specific just by a single photograph without needing the metadata.

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Speaker 2: And so it's opening up the concerns about privacy because

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Speaker 2: suddenly you know you could be doxed. You know, that's

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Speaker 2: something that's a real thing where someone could say this

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Speaker 2: is where Craig is every Thursday morning at five o'clock,

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Speaker 2: and they could give an exact location and a time

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Speaker 2: if that you were posting at a regular location. So

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Speaker 2: it opens up some concerns for what people are posting

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Speaker 2: online and what that could reveal about you just by

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Speaker 2: putting it an innocent photograph online.

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Speaker 1: It's yeah, I've been I've been listening to a book

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Speaker 1: series called The Gray Man. Have you heard of that, Patrick, No,

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Speaker 1: I haven't. Yeah. So it's basically about spies and good

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Speaker 1: and bad guys, all that bullshit that I love. I

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Speaker 1: love I love escapism. Right every I me either listening

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Speaker 1: to something that I need to, like a research thing

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Speaker 1: or a silly podcast or that. But lately I've just

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Speaker 1: been getting when I do my million walks that I've

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Speaker 1: just been listening to that. But like even with this,

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Speaker 1: it's they're really well researched. And I think about all

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Speaker 1: the espionage and all that, all the stuff you're talking

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Speaker 1: about where people can you know, geolocate people and people

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Speaker 1: can find out all of this, like all the stuff

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Speaker 1: that happens, you know, in the world of spies, which

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Speaker 1: are very real, by the way. That's that shit's incredible.

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Speaker 1: And right now, like you said, like the tech that

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Speaker 1: we I can't use it, you can use it, But

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Speaker 1: the tech that we have access to now is it

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Speaker 1: makes the world a very small place. And like if

436
00:21:44,200 --> 00:21:48,720
Speaker 1: you are worried about your security, like your personal security,

437
00:21:48,720 --> 00:21:51,840
Speaker 1: if you're a high profile person or something, you'd be

438
00:21:51,840 --> 00:21:52,560
Speaker 1: a bit nervous.

439
00:21:54,440 --> 00:21:56,840
Speaker 2: It is something to think about, I guess for all

440
00:21:56,920 --> 00:21:59,880
Speaker 2: of us when we use social media, if we do,

441
00:22:00,840 --> 00:22:03,280
Speaker 2: I think you need to think about ramifications of just

442
00:22:03,320 --> 00:22:05,880
Speaker 2: simply posting a photo. You know, what are you sharing

443
00:22:05,920 --> 00:22:08,240
Speaker 2: out there? And it could be your kids, it could

444
00:22:08,280 --> 00:22:11,760
Speaker 2: be your friends, but it is something. It's that extra

445
00:22:11,920 --> 00:22:15,520
Speaker 2: layer of I guess complexity to our lives that we

446
00:22:15,560 --> 00:22:18,439
Speaker 2: really didn't need. It's to oh, man, I just posted

447
00:22:18,440 --> 00:22:20,679
Speaker 2: a photo or you know, friends just took a photo

448
00:22:20,720 --> 00:22:22,920
Speaker 2: of all of us at a function, and it does

449
00:22:23,040 --> 00:22:26,440
Speaker 2: open up the kind of the rabbit hole of where

450
00:22:26,640 --> 00:22:30,080
Speaker 2: we are going with the abilities that AI are bringing

451
00:22:30,119 --> 00:22:32,240
Speaker 2: to the table things we've never been able to do before.

452
00:22:32,280 --> 00:22:34,879
Speaker 2: So things as wonderful as being able to communicate with

453
00:22:34,960 --> 00:22:38,720
Speaker 2: dolphins or talk to someone that you're conversing with in

454
00:22:38,760 --> 00:22:41,639
Speaker 2: their own language, which is amazing. It's wonderful. You know,

455
00:22:41,920 --> 00:22:46,080
Speaker 2: I was traveling through China and I downloaded the language

456
00:22:46,119 --> 00:22:49,880
Speaker 2: pack for you know, simple Chinese, and so I could

457
00:22:49,920 --> 00:22:53,080
Speaker 2: just real time point my phone at a Chinese menu

458
00:22:53,440 --> 00:22:55,680
Speaker 2: and it would convert it into English as I scanned

459
00:22:55,680 --> 00:22:58,560
Speaker 2: my phone across the page. You know, that's how I survived,

460
00:22:58,600 --> 00:23:02,120
Speaker 2: eating food and going to restaurants and you know, scanning

461
00:23:02,200 --> 00:23:05,720
Speaker 2: signs and moving around, and that's phenomenal. It's all the

462
00:23:05,760 --> 00:23:09,920
Speaker 2: great positive things about AI and this sort of technology

463
00:23:10,040 --> 00:23:13,320
Speaker 2: that's giving so much power to us, but it's, like anything,

464
00:23:13,440 --> 00:23:14,960
Speaker 2: there's also a negative side to it.

465
00:23:17,560 --> 00:23:19,679
Speaker 1: Well, another thing that's in the media a lot at

466
00:23:19,720 --> 00:23:25,480
Speaker 1: the moment is d Trump's tariffs that are being rolled

467
00:23:25,520 --> 00:23:27,800
Speaker 1: out like a bloody bowling ball in an alley at

468
00:23:27,880 --> 00:23:30,920
Speaker 1: a rapid rate, and there are there are a few

469
00:23:30,960 --> 00:23:32,000
Speaker 1: things happening around that.

470
00:23:32,960 --> 00:23:34,320
Speaker 2: Look, I had to have a bit of a chuckle

471
00:23:34,320 --> 00:23:36,640
Speaker 2: because it's now because I think he's put a temporary

472
00:23:37,760 --> 00:23:42,160
Speaker 2: like he suspended the tariffs on some electronic devices like phones.

473
00:23:42,720 --> 00:23:45,239
Speaker 2: But Apple did a bit of a panic, you know,

474
00:23:45,280 --> 00:23:47,040
Speaker 2: because Trump kind of announced this and it was going

475
00:23:47,080 --> 00:23:50,800
Speaker 2: to happen like the next day and lunchtime, it's going

476
00:23:50,880 --> 00:23:52,439
Speaker 2: to like it's going to happen any second now. So

477
00:23:52,480 --> 00:23:56,440
Speaker 2: Apple then quickly shipped six hundred tons of iPhones from

478
00:23:56,480 --> 00:23:59,640
Speaker 2: India to try to beat the tariffs. So they kind

479
00:23:59,640 --> 00:24:03,600
Speaker 2: of fast tracked gettings. That's six hundred tons. That's so

480
00:24:03,680 --> 00:24:05,960
Speaker 2: many phones. We should type that in and work out

481
00:24:05,960 --> 00:24:08,200
Speaker 2: what that actually because I don't know what an iPhone weighs,

482
00:24:09,160 --> 00:24:12,199
Speaker 2: but that's just blows my mind. Six hundred tons of

483
00:24:12,240 --> 00:24:17,199
Speaker 2: iPhones were rapidly shipped to the US to try to

484
00:24:17,240 --> 00:24:20,800
Speaker 2: beat the tariffs, and you know that to me is

485
00:24:21,040 --> 00:24:23,000
Speaker 2: I mean, obviously people were panicking. And it wasn't just

486
00:24:23,040 --> 00:24:25,399
Speaker 2: Apple that did that. There were some other companies that

487
00:24:25,440 --> 00:24:27,920
Speaker 2: were shipping trying to get things into the US before

488
00:24:27,960 --> 00:24:31,040
Speaker 2: the tariffs kicked in so that they wouldn't be stuck,

489
00:24:31,720 --> 00:24:34,800
Speaker 2: you know, with the larger amounts. Although I think that

490
00:24:35,200 --> 00:24:38,160
Speaker 2: when you think about it, you know, even if there

491
00:24:38,240 --> 00:24:41,399
Speaker 2: because China has the tariffs tariffs of over one hundred percent,

492
00:24:41,640 --> 00:24:43,560
Speaker 2: doesn't it I think that was I don't know.

493
00:24:43,600 --> 00:24:45,960
Speaker 1: Think hotly up to it at the moment. By the way,

494
00:24:46,040 --> 00:24:46,760
Speaker 1: iPhone what.

495
00:24:47,560 --> 00:24:49,119
Speaker 2: Oh, I don't know, I don't keep up with the

496
00:24:49,119 --> 00:24:50,679
Speaker 2: iPhones is.

497
00:24:50,680 --> 00:24:54,760
Speaker 1: An iPhone item. I'm doing some rudimentary maths.

498
00:24:54,920 --> 00:24:56,920
Speaker 2: Oh, okay, see you're trying to Yeah, because I think

499
00:24:56,920 --> 00:24:59,840
Speaker 2: it depends on the model as well, though not just

500
00:25:00,200 --> 00:25:00,840
Speaker 2: you know, because.

501
00:25:00,600 --> 00:25:04,800
Speaker 1: They have different We're going to ballpark. We can't yep.

502
00:25:05,200 --> 00:25:06,920
Speaker 2: So you're trying to work it out, aren't you? Six

503
00:25:06,960 --> 00:25:07,440
Speaker 2: hundred times?

504
00:25:07,480 --> 00:25:10,439
Speaker 1: Well, if I know what one ways, I'll tell you

505
00:25:10,480 --> 00:25:12,960
Speaker 1: what if our bloody secretary over there, if she could,

506
00:25:13,080 --> 00:25:13,800
Speaker 1: if she could.

507
00:25:13,600 --> 00:25:16,080
Speaker 5: Get her sixteen I do believe, I don't know.

508
00:25:16,119 --> 00:25:20,359
Speaker 1: I'm okay, how much does an iPhone sixteen? Way? Please?

509
00:25:20,400 --> 00:25:21,320
Speaker 1: Tiffany and Cook?

510
00:25:22,520 --> 00:25:23,919
Speaker 2: This is riveting stuff, isn't it.

511
00:25:24,160 --> 00:25:28,560
Speaker 1: Yeah? Yeah, yeah, tiff you could cut this out about

512
00:25:28,680 --> 00:25:35,640
Speaker 1: three million, three million, five hundred and twenty nine thousand. Okay,

513
00:25:35,840 --> 00:25:40,480
Speaker 1: that doesn't seem like that many, it doesn't, did you reckon?

514
00:25:42,119 --> 00:25:42,280
Speaker 4: Yeah?

515
00:25:42,359 --> 00:25:46,520
Speaker 1: Three point three point five to three million? I mean yeah,

516
00:25:46,560 --> 00:25:49,640
Speaker 1: I guess all right, Well, nobody needed to know that.

517
00:25:49,840 --> 00:25:52,840
Speaker 1: Nobody needed to know that, and everybody's just wants to

518
00:25:53,400 --> 00:25:56,440
Speaker 1: fifty seconds of their life with me doing that. I apologize.

519
00:25:56,480 --> 00:25:58,359
Speaker 2: You know what I really like is that co pilot.

520
00:25:58,400 --> 00:26:00,640
Speaker 2: When I typed it in, it came up with between

521
00:26:00,680 --> 00:26:03,439
Speaker 2: two point sixty five to four point twenty nine million,

522
00:26:03,480 --> 00:26:06,239
Speaker 2: But it actually gave you the calculations as well, So

523
00:26:06,280 --> 00:26:09,480
Speaker 2: I told yeah, it's so amazing, isn't it. I find

524
00:26:09,480 --> 00:26:12,040
Speaker 2: that little process interesting because you know, when you had

525
00:26:12,080 --> 00:26:15,960
Speaker 2: to do maths tests at school. It wasn't about getting

526
00:26:16,000 --> 00:26:19,760
Speaker 2: the answer. It was actually about getting the formula and

527
00:26:20,480 --> 00:26:24,000
Speaker 2: showing that you knew the formulaic approach, so you could

528
00:26:24,000 --> 00:26:26,080
Speaker 2: even get points for getting the wrong answer if you

529
00:26:26,160 --> 00:26:29,399
Speaker 2: demonstrated that you followed the right principles across I always.

530
00:26:29,560 --> 00:26:33,240
Speaker 2: I actually found that simultar solving simultaneous equations was my

531
00:26:33,320 --> 00:26:36,960
Speaker 2: famous favorite math thing. Wow, No one needed to know that.

532
00:26:37,080 --> 00:26:37,760
Speaker 2: I don't know. Wow.

533
00:26:38,160 --> 00:26:42,639
Speaker 1: Yeah again another fifty seconds And in Parabolis they were funny.

534
00:26:42,680 --> 00:26:45,000
Speaker 1: Do you want do you want to waste fifty seconds?

535
00:26:45,000 --> 00:26:48,480
Speaker 1: Now your turn? You want to do you want to

536
00:26:48,480 --> 00:26:52,159
Speaker 1: crush everybody's spirit for fifty seconds? Do you want to

537
00:26:52,520 --> 00:26:54,920
Speaker 1: suck the life out of their day? If you can

538
00:26:54,960 --> 00:26:58,479
Speaker 1: share something as boring as Patrick and I just did, ready,

539
00:27:00,480 --> 00:27:03,840
Speaker 1: fucking hell, we're on a podcast. Patrick's telling us about

540
00:27:04,520 --> 00:27:07,880
Speaker 1: how how good he was at maths. Come on, son,

541
00:27:08,200 --> 00:27:12,119
Speaker 1: do better lift your game? Tech bloke.

542
00:27:14,720 --> 00:27:21,600
Speaker 2: Hatif you know straight to the straight to the source. No,

543
00:27:21,880 --> 00:27:25,240
Speaker 2: you'll know by the reasoning once I get this out,

544
00:27:25,240 --> 00:27:28,520
Speaker 2: if you let me know. Tip Une Trees a robotics

545
00:27:28,560 --> 00:27:31,280
Speaker 2: company and they're about to do the first robot on

546
00:27:31,480 --> 00:27:37,320
Speaker 2: robot boxing match. I thought you'd like this. It's so amazing.

547
00:27:37,400 --> 00:27:39,639
Speaker 2: This is going to happen soon. We're talking sometime in

548
00:27:39,680 --> 00:27:43,720
Speaker 2: the next month. Is the Uni Tree company has got

549
00:27:43,720 --> 00:27:46,399
Speaker 2: two boxing robots. You know what. I'll send you the

550
00:27:46,400 --> 00:27:47,880
Speaker 2: link to it. You should look it up. Just look

551
00:27:47,960 --> 00:27:50,919
Speaker 2: up you need Tree boxing robots. Because the first video

552
00:27:51,000 --> 00:27:55,760
Speaker 2: they revealed was a person in a ring boxing against

553
00:27:55,840 --> 00:27:58,560
Speaker 2: the robot, and what the robot looked pretty lame. It

554
00:27:58,600 --> 00:28:01,000
Speaker 2: was small and it was kind of boxing. But what

555
00:28:01,000 --> 00:28:04,360
Speaker 2: what made me really excited was watching the robot get

556
00:28:04,400 --> 00:28:06,959
Speaker 2: back up when it got knocked down. That's what I

557
00:28:07,000 --> 00:28:11,160
Speaker 2: thought was really cool was seeing how agile the robot

558
00:28:11,400 --> 00:28:12,840
Speaker 2: was and how it was able to get back on

559
00:28:12,880 --> 00:28:15,639
Speaker 2: its feet. It really, you know, with all the that's

560
00:28:15,680 --> 00:28:18,280
Speaker 2: what really staggers me about the way the robotics is

561
00:28:18,320 --> 00:28:20,639
Speaker 2: working now. It's you know, being either being on an

562
00:28:21,280 --> 00:28:25,359
Speaker 2: unfirm infirm's surface on and Crago and I are going

563
00:28:25,359 --> 00:28:28,040
Speaker 2: to have a chat shortly about another sort of robot

564
00:28:28,119 --> 00:28:29,959
Speaker 2: that we're both going to buy and we're both going

565
00:28:30,000 --> 00:28:32,639
Speaker 2: to ride and we're both going to go away and

566
00:28:32,720 --> 00:28:35,879
Speaker 2: an adventure holiday with But but in the meantime, TIF

567
00:28:36,160 --> 00:28:38,080
Speaker 2: boxing robots, what's your take on that one.

568
00:28:39,280 --> 00:28:41,040
Speaker 5: I don't know about that.

569
00:28:40,800 --> 00:28:45,440
Speaker 4: I'm very sure would not.

570
00:28:46,200 --> 00:28:48,160
Speaker 1: You would not want to get punched by one, that's

571
00:28:48,160 --> 00:28:54,400
Speaker 1: for sure. Imagine if that like connected. Yeah, speaking of

572
00:28:54,760 --> 00:29:01,760
Speaker 1: robots fighting, yeah, robot was the that's awesome. Yeah yeah,

573
00:29:01,840 --> 00:29:05,240
Speaker 1: well yeah that was like the genesis of bloody stand

574
00:29:05,320 --> 00:29:06,360
Speaker 1: up robot boxing.

575
00:29:06,400 --> 00:29:09,920
Speaker 2: I guess, yeah, very much so. But I don't know.

576
00:29:10,120 --> 00:29:12,760
Speaker 2: I don't know that I reckon i'd like you, cragi,

577
00:29:12,880 --> 00:29:15,360
Speaker 2: I'd be concerned about getting in the ring with a robot,

578
00:29:15,720 --> 00:29:19,959
Speaker 2: But I think robots boxing our robot war was I

579
00:29:20,000 --> 00:29:22,120
Speaker 2: think that would be kind of cool to watch. I

580
00:29:22,160 --> 00:29:24,520
Speaker 2: actually think I prefer to watch a robot get hit

581
00:29:24,520 --> 00:29:27,840
Speaker 2: than a person. I don't know. I couldn't watch you box, Tiff.

582
00:29:28,560 --> 00:29:30,840
Speaker 2: I would be too upset watching you box. Now you

583
00:29:30,960 --> 00:29:33,240
Speaker 2: get over that pretty quick. I don't reckon I could.

584
00:29:33,400 --> 00:29:34,280
Speaker 5: I used to be like that.

585
00:29:34,680 --> 00:29:37,960
Speaker 2: Really Yeah, I know, I think that would be really upsetting.

586
00:29:38,080 --> 00:29:40,959
Speaker 2: I mean, I'm not really big into watching boxing, but

587
00:29:41,000 --> 00:29:43,280
Speaker 2: to see a friend get, you know, in a boxing ring,

588
00:29:43,440 --> 00:29:44,960
Speaker 2: I don't know. As long as you beat the shit

589
00:29:45,000 --> 00:29:46,600
Speaker 2: out of the other person, I think I'd be okay.

590
00:29:47,080 --> 00:29:48,600
Speaker 2: I just don't want to see you take a punch.

591
00:29:49,520 --> 00:29:52,200
Speaker 1: You'd love to see me get punched in the face. THO,

592
00:29:52,240 --> 00:29:59,160
Speaker 1: wouldn't you? Exactly exactly. It's like, oh, actually that does

593
00:29:59,400 --> 00:30:00,400
Speaker 1: sound good.

594
00:30:00,880 --> 00:30:02,840
Speaker 2: I maybe you could get a car of gloves for

595
00:30:02,960 --> 00:30:06,440
Speaker 2: Gregg and no, which you have a spar together? Have you?

596
00:30:06,600 --> 00:30:07,840
Speaker 2: Have you ever taken him in the ring?

597
00:30:08,200 --> 00:30:10,520
Speaker 5: No? I haven't. Maybe it's time hearts.

598
00:30:11,040 --> 00:30:14,680
Speaker 1: Definitely not. I only fight in car parks. I don't

599
00:30:14,720 --> 00:30:15,720
Speaker 1: fight in boxing ring.

600
00:30:16,520 --> 00:30:20,080
Speaker 5: Matthew stopping around.

601
00:30:20,840 --> 00:30:27,280
Speaker 1: Car parks outside pubs, that's my forte. No.

602
00:30:27,560 --> 00:30:30,840
Speaker 2: During the week, we had a bit of a text

603
00:30:30,960 --> 00:30:34,160
Speaker 2: discussion and we video clipped to each other. Can you

604
00:30:34,200 --> 00:30:38,440
Speaker 2: tell everybody about Kawasaki's cor leo, because.

605
00:30:38,240 --> 00:30:40,440
Speaker 1: Well, I don't have it in front of me, but

606
00:30:40,600 --> 00:30:44,719
Speaker 1: I did see it before you sent it and no, no, no,

607
00:30:44,760 --> 00:30:51,880
Speaker 1: it's yes. So Kawasaki built what looks like a rideable Kawasaki,

608
00:30:51,960 --> 00:30:58,880
Speaker 1: of course, being a motorcycle brand, a rideable robotic horse

609
00:30:59,240 --> 00:31:01,680
Speaker 1: slash dog wolf.

610
00:31:01,800 --> 00:31:02,719
Speaker 2: I think a big wolf.

611
00:31:02,720 --> 00:31:04,680
Speaker 1: It kind of looks like, okay, there you go. Well

612
00:31:04,680 --> 00:31:07,920
Speaker 1: it's got I mean, it doesn't have wheels, it has

613
00:31:08,080 --> 00:31:15,240
Speaker 1: legs and it runs allegedly and yeah, I was look,

614
00:31:15,400 --> 00:31:18,640
Speaker 1: they do look amazing. But I was thinking a dirt

615
00:31:18,680 --> 00:31:22,280
Speaker 1: bike can go anywhere, that can go anyway, and probably

616
00:31:22,400 --> 00:31:26,840
Speaker 1: much safer. But they do look ridiculously cool. And I

617
00:31:26,880 --> 00:31:29,880
Speaker 1: could see you and me just traversing the bloody outer

618
00:31:29,960 --> 00:31:35,720
Speaker 1: reaches of Victoria through the alpine, bloody out back. I

619
00:31:35,760 --> 00:31:38,640
Speaker 1: don't know, though, Well, there's two things about it amazing.

620
00:31:38,880 --> 00:31:41,120
Speaker 2: Yeah. One thing that caught my eye was that it's

621
00:31:41,200 --> 00:31:46,160
Speaker 2: hydrogen powered, which means there's no toxic fumes. They're very quiet,

622
00:31:47,280 --> 00:31:50,160
Speaker 2: but because they because they've got legs rather than wheels,

623
00:31:50,200 --> 00:31:53,640
Speaker 2: they looked amazingly agile, and they have an ability to

624
00:31:53,720 --> 00:31:57,400
Speaker 2: keep the rider in position. So even when they were

625
00:31:57,400 --> 00:31:59,200
Speaker 2: on an angle, did you notice the rider seemed to

626
00:31:59,240 --> 00:32:02,480
Speaker 2: be sitting quite comfortably, so less chance of falling off.

627
00:32:02,520 --> 00:32:05,280
Speaker 2: I just thought it was amazing. My heart went into

628
00:32:05,280 --> 00:32:06,960
Speaker 2: my mouth a little bit when it got close to

629
00:32:07,040 --> 00:32:09,320
Speaker 2: the edge of the cliff. I just thought, you don't

630
00:32:09,360 --> 00:32:12,440
Speaker 2: hit that joystick forward. Whatever you do, don't joy to

631
00:32:12,440 --> 00:32:14,760
Speaker 2: stick forward. And I think the other thing about it,

632
00:32:14,800 --> 00:32:17,640
Speaker 2: which was really cool is you didn't actually have a

633
00:32:17,640 --> 00:32:20,800
Speaker 2: handlebars as such. You just leaned in the direction. So

634
00:32:20,880 --> 00:32:24,120
Speaker 2: the idea is that it will start to move whichever

635
00:32:24,160 --> 00:32:26,320
Speaker 2: direction you lean in, so I could feel that it'd

636
00:32:26,320 --> 00:32:30,880
Speaker 2: be a really interesting symmetry between the person writing where

637
00:32:31,200 --> 00:32:33,960
Speaker 2: you would feel like it's much Do you ever see

638
00:32:33,960 --> 00:32:38,400
Speaker 2: the segways those the two wheels by lean forward? Yeah,

639
00:32:38,560 --> 00:32:41,640
Speaker 2: I think there's something about that sort of control where

640
00:32:41,960 --> 00:32:44,200
Speaker 2: you move in the direction you want to go that

641
00:32:44,560 --> 00:32:46,800
Speaker 2: I think after a time it would almost feel like

642
00:32:46,840 --> 00:32:49,120
Speaker 2: it's a part of you. That would be quite interesting.

643
00:32:49,720 --> 00:32:52,680
Speaker 1: Yeah, they've actually built, which does not interest well, it

644
00:32:52,760 --> 00:32:55,080
Speaker 1: interests me just from a technology point of view, but

645
00:32:55,520 --> 00:32:57,840
Speaker 1: the last thing I would want to own they've actually built.

646
00:32:57,960 --> 00:33:00,840
Speaker 1: And this sounds ridiculous. You know, we've got self driving cars,

647
00:33:01,520 --> 00:33:04,440
Speaker 1: so they've got self They call them self driving, but

648
00:33:04,520 --> 00:33:07,120
Speaker 1: it's not driving, it's riding. I hate it when people say,

649
00:33:07,200 --> 00:33:10,120
Speaker 1: I'm dry, Oh did you drive your motorbike? Here I go,

650
00:33:10,200 --> 00:33:13,920
Speaker 1: you don't fucking drive a motorbike. But anyway, I just, hey,

651
00:33:13,920 --> 00:33:16,920
Speaker 1: everyone in the whole world, you don't drive motorbikes, just

652
00:33:16,960 --> 00:33:19,280
Speaker 1: so you all know, now you fucking ride them. They've

653
00:33:19,280 --> 00:33:24,080
Speaker 1: got two wheels anyway, so they've got a self riding motorbike. Patrick,

654
00:33:24,120 --> 00:33:26,040
Speaker 1: does that annoy you tip when people do that or

655
00:33:26,080 --> 00:33:26,920
Speaker 1: you don't notice it?

656
00:33:27,200 --> 00:33:29,840
Speaker 5: I think I did it to you once, I think.

657
00:33:30,480 --> 00:33:32,200
Speaker 2: And I did it deliberately because I know how much

658
00:33:32,240 --> 00:33:32,880
Speaker 2: it annoys you.

659
00:33:33,200 --> 00:33:37,280
Speaker 1: I'm like, fuck, it's not a car anyway, No, Patrick,

660
00:33:37,320 --> 00:33:42,480
Speaker 1: They've got self driving nudge nudge, wink wink. Motorbikes which

661
00:33:42,520 --> 00:33:45,840
Speaker 1: you just sit on. That would scare the shit out

662
00:33:45,840 --> 00:33:46,040
Speaker 1: of me.

663
00:33:46,600 --> 00:33:48,240
Speaker 2: I don't know, sitting on the back of your bike

664
00:33:48,320 --> 00:33:50,400
Speaker 2: going fast through traffic scared the shit out of me.

665
00:33:51,040 --> 00:33:53,800
Speaker 1: You fucking loved having your crutch up against my back

666
00:33:53,880 --> 00:33:56,719
Speaker 1: and your arms around my big fucking chest. You loved it.

667
00:33:56,760 --> 00:33:59,719
Speaker 1: And you're just breathing down my neck like a fucking creep.

668
00:34:00,120 --> 00:34:03,520
Speaker 2: You loved every so scared I was going to.

669
00:34:03,520 --> 00:34:06,240
Speaker 1: Love you would keep going, keep going. I'm like, but

670
00:34:06,280 --> 00:34:11,160
Speaker 1: we're home. It's like, go further, yeah, I don't want

671
00:34:11,200 --> 00:34:15,160
Speaker 1: to stop. I don't want to get off. Yeah, pouch,

672
00:34:15,239 --> 00:34:17,160
Speaker 1: I'm like, and you're doing the same things. I'm like,

673
00:34:17,640 --> 00:34:19,680
Speaker 1: we're not moving, you don't need to hold on.

674
00:34:21,120 --> 00:34:25,160
Speaker 2: I have paraglided fifty one times, so I have deliberately

675
00:34:25,200 --> 00:34:27,960
Speaker 2: walked off a cliff with a piece of fabric above me.

676
00:34:28,280 --> 00:34:31,280
Speaker 2: I've rock climbed at Mount of Rapolis, and I still

677
00:34:31,320 --> 00:34:33,520
Speaker 2: have never been more scared than being on the back

678
00:34:33,560 --> 00:34:34,640
Speaker 2: of a bike with that bloke.

679
00:34:36,960 --> 00:34:38,320
Speaker 1: Did you get hurt?

680
00:34:37,960 --> 00:34:40,240
Speaker 2: You know what it is? I think it's the sense

681
00:34:40,280 --> 00:34:43,160
Speaker 2: of not being in control, you know when you do

682
00:34:43,360 --> 00:34:46,640
Speaker 2: rock climbing or paragliding solo, that sort of stuff. And

683
00:34:46,680 --> 00:34:48,560
Speaker 2: I guess it would be the same with riding a motorbike.

684
00:34:48,680 --> 00:34:52,040
Speaker 2: TIF if you're riding a bike and you're the person

685
00:34:52,120 --> 00:34:55,000
Speaker 2: who's in control, it's different than being a passenger. I

686
00:34:55,000 --> 00:34:57,640
Speaker 2: think being a passenger can be really tough for some people.

687
00:34:58,120 --> 00:35:01,120
Speaker 4: Yeah, and if you're not familiar with the the leaning

688
00:35:01,200 --> 00:35:03,040
Speaker 4: and the control of the direction.

689
00:35:03,719 --> 00:35:04,239
Speaker 5: I felt the.

690
00:35:04,200 --> 00:35:08,960
Speaker 4: Same when I did fly flew the helicopter because everything,

691
00:35:09,080 --> 00:35:13,560
Speaker 4: all of the sensations don't match up with how you

692
00:35:13,640 --> 00:35:16,080
Speaker 4: feel they would, so it was terrifying.

693
00:35:16,160 --> 00:35:18,960
Speaker 5: Like I was just on I was just.

694
00:35:20,800 --> 00:35:25,000
Speaker 2: Yeah, I want to ask the question, when did you

695
00:35:25,000 --> 00:35:27,040
Speaker 2: fly a helicopter? That's so cool.

696
00:35:27,440 --> 00:35:30,400
Speaker 4: I got bought an experience of flying a helicopter for

697
00:35:30,480 --> 00:35:33,400
Speaker 4: my fortieth birthday, so a couple of years ago. Yeah,

698
00:35:33,800 --> 00:35:36,200
Speaker 4: twenty four hours. It took me to come down from

699
00:35:36,200 --> 00:35:40,239
Speaker 4: that adrenaline spike because it was just you're doing four

700
00:35:40,239 --> 00:35:43,239
Speaker 4: different things with four different limbs. But each of the

701
00:35:43,320 --> 00:35:47,000
Speaker 4: controls don't match what you would assume they should.

702
00:35:47,080 --> 00:35:48,600
Speaker 2: It's like because.

703
00:35:49,880 --> 00:35:52,000
Speaker 4: Yeah, and then there's a bit of a lag and

704
00:35:52,040 --> 00:35:55,200
Speaker 4: the experience and you're seeing things differently and it was

705
00:35:55,400 --> 00:35:56,520
Speaker 4: really terrifying.

706
00:35:57,120 --> 00:36:00,719
Speaker 2: Wow, I want to ti. I've ever been alicopter. It's

707
00:36:00,760 --> 00:36:04,040
Speaker 2: the one I've been in planes. I've been in light planes.

708
00:36:04,040 --> 00:36:07,440
Speaker 2: I've jumped out of planes, I've done skydiving once, I've paraglided,

709
00:36:07,480 --> 00:36:10,120
Speaker 2: but I've never been an a helicopter. I'd love to it.

710
00:36:10,680 --> 00:36:12,560
Speaker 1: Yeah, I zero interest?

711
00:36:13,160 --> 00:36:14,320
Speaker 2: What really?

712
00:36:14,440 --> 00:36:18,960
Speaker 1: Zero interest? I went to I went to Queenstown. I

713
00:36:19,040 --> 00:36:21,319
Speaker 1: must be the only person that goes to Queenstown that

714
00:36:21,360 --> 00:36:24,000
Speaker 1: didn't bungee jump from the biggest bungee jump in the world.

715
00:36:24,680 --> 00:36:27,840
Speaker 1: And people like you when you're doing bungee I'm like,

716
00:36:27,920 --> 00:36:30,120
Speaker 1: I'm not. They're like, what do you mean? I go, yeah,

717
00:36:30,200 --> 00:36:32,120
Speaker 1: I want to. They're like, what do you mean? Like,

718
00:36:32,239 --> 00:36:36,359
Speaker 1: but your fucking I go zero interest in jumping off

719
00:36:36,400 --> 00:36:37,520
Speaker 1: of fucking bridge?

720
00:36:37,640 --> 00:36:39,560
Speaker 2: You know me too? Isn't that funny? It was all

721
00:36:39,560 --> 00:36:42,040
Speaker 2: the things I did in New Zealand, all the adventure

722
00:36:42,080 --> 00:36:47,320
Speaker 2: things starting ending in ing, so rock climbing, paragliding, jet boating, no,

723
00:36:47,480 --> 00:36:49,279
Speaker 2: I didn't want to do bungee jumping.

724
00:36:49,600 --> 00:36:52,080
Speaker 1: Doesn't I mean, And it's not like if I had

725
00:36:52,120 --> 00:36:54,200
Speaker 1: to do it, like if they went, well you need

726
00:36:54,239 --> 00:36:57,120
Speaker 1: to to fucking save someone's life, I'll be all right, Well,

727
00:36:57,120 --> 00:36:59,840
Speaker 1: straight me in and I'll jump. But it's not something

728
00:36:59,880 --> 00:37:02,600
Speaker 1: that appeals to me. It's not like, oh, I want

729
00:37:02,600 --> 00:37:04,920
Speaker 1: to do it, but I'm scared. I just don't want

730
00:37:04,960 --> 00:37:07,960
Speaker 1: to do it. It holds zero appeal to me, you know.

731
00:37:08,040 --> 00:37:12,879
Speaker 1: But but that back quickly to the motorbike thing. What

732
00:37:12,960 --> 00:37:16,920
Speaker 1: is interesting is you're right, Patrick and Tip like some

733
00:37:17,040 --> 00:37:20,440
Speaker 1: people sit on the back and they have no fear

734
00:37:20,640 --> 00:37:23,080
Speaker 1: and they just trust you and they have the best

735
00:37:23,120 --> 00:37:26,919
Speaker 1: time ever. And other people understandably Patrick, because I would

736
00:37:27,000 --> 00:37:29,320
Speaker 1: not want to be on the back of somebody's motorbike either.

737
00:37:30,200 --> 00:37:33,480
Speaker 1: I'd be scared as well. And other people it's like

738
00:37:33,640 --> 00:37:36,319
Speaker 1: literally one of the worst things they've ever done. It's

739
00:37:36,400 --> 00:37:39,600
Speaker 1: like all the most terrifying things they've ever done, and

740
00:37:39,640 --> 00:37:42,760
Speaker 1: for other people, they cannot wait to do it again.

741
00:37:43,400 --> 00:37:45,400
Speaker 2: The interesting thing for me is I think if we

742
00:37:45,400 --> 00:37:48,120
Speaker 2: were on an open road with no cars, I would

743
00:37:48,160 --> 00:37:52,480
Speaker 2: have been fine. It's not your riding, it's all the

744
00:37:52,600 --> 00:37:55,879
Speaker 2: variables of other drivers and cars that may or may

745
00:37:55,920 --> 00:37:58,880
Speaker 2: not see you, that cross lanes, all that sort of stuff.

746
00:37:58,960 --> 00:38:01,360
Speaker 2: It was those variables that I think was what was

747
00:38:01,400 --> 00:38:02,560
Speaker 2: making me nervous.

748
00:38:02,920 --> 00:38:05,960
Speaker 1: Yeah. I usually people who are scared they lean in

749
00:38:06,120 --> 00:38:09,879
Speaker 1: when we stop at traffic lights. They're like, how long

750
00:38:09,920 --> 00:38:11,799
Speaker 1: have you been riding? And I tell them and they

751
00:38:11,840 --> 00:38:14,279
Speaker 1: go and then like how many accidents have you had?

752
00:38:14,320 --> 00:38:17,279
Speaker 1: And I go none, And then that gives them a

753
00:38:17,280 --> 00:38:19,799
Speaker 1: little and then they're like, all right, well, statistically I'll

754
00:38:19,840 --> 00:38:22,480
Speaker 1: probably get home. But you can hear them doing the

755
00:38:22,560 --> 00:38:28,640
Speaker 1: survival maths, like asking all the nerve questions.

756
00:38:30,719 --> 00:38:34,480
Speaker 2: Did you guys? I mean probably less for you tif crago.

757
00:38:34,680 --> 00:38:37,720
Speaker 2: Did you do any woodwork at school? Was that anything

758
00:38:37,760 --> 00:38:39,319
Speaker 2: you know, wood shop or anything like that.

759
00:38:39,840 --> 00:38:42,239
Speaker 1: Yeah, we had year nine. We did a whole year

760
00:38:42,280 --> 00:38:45,360
Speaker 1: of woodwork. Yeah, go on.

761
00:38:45,719 --> 00:38:48,759
Speaker 2: Our school never did. And I was not allowed to

762
00:38:48,840 --> 00:38:50,839
Speaker 2: do stuff like that in the garage at home because

763
00:38:50,840 --> 00:38:52,959
Speaker 2: I wasn't allowed to touch Dad's tools and stuff because

764
00:38:52,960 --> 00:38:56,319
Speaker 2: I always left stuff lying around. I guess, but I

765
00:38:56,360 --> 00:38:59,480
Speaker 2: always feel like it's something that I missed an opportunity on.

766
00:38:59,600 --> 00:39:03,000
Speaker 2: You know, I love gadgets, but I've never done you know,

767
00:39:03,320 --> 00:39:07,080
Speaker 2: the actually building furniture or building stuff. And now I'm

768
00:39:07,120 --> 00:39:12,040
Speaker 2: really excited about ar carpentry. This is this is so

769
00:39:12,040 --> 00:39:16,200
Speaker 2: so so cool and what's what it is? And this

770
00:39:16,400 --> 00:39:20,160
Speaker 2: makes so much sense. So this has been developed in Switzerland,

771
00:39:20,440 --> 00:39:23,880
Speaker 2: so a university in Switzerland, and what they're doing is

772
00:39:24,440 --> 00:39:27,600
Speaker 2: you using your power tools. So say, for example, you

773
00:39:27,600 --> 00:39:30,760
Speaker 2: wanted to make a cupboard. You've got all your different

774
00:39:30,800 --> 00:39:35,279
Speaker 2: pieces of materials, you upload them into the platform that

775
00:39:35,320 --> 00:39:37,920
Speaker 2: you're going to be using, and then you put a

776
00:39:38,120 --> 00:39:43,640
Speaker 2: like a tablet device that sits between yourself and the

777
00:39:43,680 --> 00:39:46,560
Speaker 2: power tool that you're using, and it uses the camera

778
00:39:47,200 --> 00:39:50,239
Speaker 2: so that you're seeing everything in real time. Obviously it's

779
00:39:50,280 --> 00:39:54,040
Speaker 2: got to be for safety, but then it overlays where

780
00:39:54,120 --> 00:39:57,919
Speaker 2: your source should be going, what the measurements are, where

781
00:39:57,960 --> 00:40:01,880
Speaker 2: you could cut that up, and effectively it guides you

782
00:40:01,960 --> 00:40:05,520
Speaker 2: every step of the way of the manufacturing process so

783
00:40:05,560 --> 00:40:08,520
Speaker 2: that you can actively be doing all of that and

784
00:40:08,560 --> 00:40:12,360
Speaker 2: it guides you through the whole thing. It sounds amazing

785
00:40:12,480 --> 00:40:15,680
Speaker 2: to me, So it's you know so, And the good

786
00:40:15,680 --> 00:40:18,239
Speaker 2: thing is it's not overly expensive because it just it's

787
00:40:18,280 --> 00:40:21,400
Speaker 2: a normal tablet like an iPad or an Android tablet,

788
00:40:21,640 --> 00:40:24,200
Speaker 2: and it scans each piece of wood, so it knows

789
00:40:24,239 --> 00:40:25,960
Speaker 2: the size of the wood, it knows what you're going

790
00:40:26,040 --> 00:40:28,319
Speaker 2: to do with it. You've uploaded the plans, and then

791
00:40:28,360 --> 00:40:33,480
Speaker 2: it's basically your augmented reality Carpenter's that's there for the journey.

792
00:40:33,520 --> 00:40:36,239
Speaker 2: I think that's great. How exciting would that be?

793
00:40:37,640 --> 00:40:37,719
Speaker 4: It?

794
00:40:37,960 --> 00:40:40,920
Speaker 1: Well, I definitely I either need to get a bloke

795
00:40:41,160 --> 00:40:43,640
Speaker 1: or a lady for that matter, to come and do it,

796
00:40:43,880 --> 00:40:48,120
Speaker 1: or I need that I'm shit. I often think I

797
00:40:48,160 --> 00:40:49,880
Speaker 1: wish I was more handy like that.

798
00:40:50,880 --> 00:40:51,239
Speaker 2: Me too.

799
00:40:52,000 --> 00:40:55,480
Speaker 1: I struggle filling the kettle. I mean, you know, putting

800
00:40:55,520 --> 00:40:57,200
Speaker 1: petrol in the car. I'm like, well, who look at

801
00:40:57,200 --> 00:41:02,359
Speaker 1: what I did. I'm a man, you know. It's like, yeah,

802
00:41:02,360 --> 00:41:03,240
Speaker 1: I'm not that handy.

803
00:41:03,560 --> 00:41:05,480
Speaker 2: My go to if I was joining two pieces of

804
00:41:05,480 --> 00:41:08,440
Speaker 2: wood together, I'd use gaffer tape. Yeah, it would be

805
00:41:08,480 --> 00:41:10,280
Speaker 2: my go to before I used scraping.

806
00:41:10,400 --> 00:41:13,080
Speaker 1: Why nobody's coming to you or me? But in fact,

807
00:41:13,160 --> 00:41:15,920
Speaker 1: I definitely walked straight past you and me go to Tiff.

808
00:41:16,040 --> 00:41:19,239
Speaker 1: She's the most She's probably the most blokey of the crew,

809
00:41:19,360 --> 00:41:21,839
Speaker 1: and I mean that with complete love. She would admit that,

810
00:41:22,640 --> 00:41:26,120
Speaker 1: and the most handy. You can put shit together.

811
00:41:25,920 --> 00:41:30,160
Speaker 5: Like one hell of a pencil box in high school.

812
00:41:31,400 --> 00:41:33,759
Speaker 1: Must well you must have had the same teacher as me.

813
00:41:34,480 --> 00:41:35,680
Speaker 1: We made a pencil cases.

814
00:41:35,719 --> 00:41:38,840
Speaker 2: Well everybody did. I think that was like the first

815
00:41:38,920 --> 00:41:41,640
Speaker 2: thing everyone does, because my brother did work at school.

816
00:41:41,680 --> 00:41:44,000
Speaker 2: He was six years older but went to a different school,

817
00:41:44,160 --> 00:41:47,319
Speaker 2: and he had about eight of those you're talking about,

818
00:41:47,320 --> 00:41:54,480
Speaker 2: the boxes that had a little slidey lid on. Yeah.

819
00:41:55,040 --> 00:41:57,840
Speaker 1: Yeah, that's an upgrade from what we had. We just

820
00:41:57,880 --> 00:41:58,560
Speaker 1: had ply.

821
00:42:00,160 --> 00:42:03,799
Speaker 2: I had in case that I had to buy like

822
00:42:04,360 --> 00:42:06,359
Speaker 2: off pencil cases, you know. Yeah.

823
00:42:06,440 --> 00:42:11,040
Speaker 1: Anyway, Patrick, I see on your to chat about list

824
00:42:11,360 --> 00:42:15,680
Speaker 1: Blue Origins all female crew including Katy Perry. Yeah, I

825
00:42:15,719 --> 00:42:18,200
Speaker 1: saw something funny about that. I don't know if you

826
00:42:18,280 --> 00:42:22,720
Speaker 1: saw the something funny, but tell us tell us about

827
00:42:23,000 --> 00:42:24,880
Speaker 1: the ladies going into space.

828
00:42:25,560 --> 00:42:28,480
Speaker 2: Yeah, well space tourism was the reason I kind of

829
00:42:28,640 --> 00:42:31,160
Speaker 2: marked it is because it did make the news and

830
00:42:31,320 --> 00:42:33,840
Speaker 2: people were talking about it, and it was the first

831
00:42:34,000 --> 00:42:37,920
Speaker 2: all female crew of the Blue Origin which on the

832
00:42:37,960 --> 00:42:44,200
Speaker 2: new Shepherd rocket. And I think for me, I love

833
00:42:44,320 --> 00:42:47,799
Speaker 2: the idea of going into space, that romanticism of being

834
00:42:47,840 --> 00:42:49,680
Speaker 2: a sci fi nerd and all the rest of it,

835
00:42:49,960 --> 00:42:53,160
Speaker 2: But I don't actually have the one hundred and fifty

836
00:42:53,200 --> 00:42:57,240
Speaker 2: thousand dollars US to buy a ticket to go to space,

837
00:42:57,600 --> 00:42:59,480
Speaker 2: and you're up there for a time and then you know,

838
00:42:59,600 --> 00:43:03,000
Speaker 2: I mean people talk about the astronaut effect and you know,

839
00:43:03,040 --> 00:43:06,440
Speaker 2: when you see the Earth from space, it's a humbling experience.

840
00:43:07,120 --> 00:43:09,080
Speaker 2: But I didn't hear about the fun Was there something

841
00:43:09,120 --> 00:43:11,360
Speaker 2: funny that went on as well? I don't know. I

842
00:43:11,400 --> 00:43:13,680
Speaker 2: just saw it as a experience.

843
00:43:13,680 --> 00:43:16,839
Speaker 1: I just saw I'll try and find it for it's

844
00:43:16,920 --> 00:43:18,279
Speaker 1: terrible and when you're doing this in the middle of

845
00:43:18,320 --> 00:43:21,960
Speaker 1: the thing, but I saw, okay, so they'd come back, right,

846
00:43:22,120 --> 00:43:27,040
Speaker 1: and Jeff Bezos it was about to like that. It

847
00:43:27,160 --> 00:43:28,360
Speaker 1: was all filming. There were cameras.

848
00:43:28,719 --> 00:43:31,000
Speaker 2: His girlfriend was on there as well. That's why Bezos

849
00:43:31,040 --> 00:43:33,280
Speaker 2: was there, so it wasn't just his rocket. His girlfriend

850
00:43:33,320 --> 00:43:34,160
Speaker 2: was going up as well.

851
00:43:37,360 --> 00:43:42,560
Speaker 1: Yeah, okay, did not know that now, right, And and

852
00:43:42,760 --> 00:43:45,200
Speaker 1: they're like, oh, they're about to go over and open

853
00:43:45,239 --> 00:43:48,200
Speaker 1: the thing, and the actual door opens from the inside

854
00:43:48,200 --> 00:43:51,360
Speaker 1: out a bit like and the door opens and then

855
00:43:51,400 --> 00:43:53,200
Speaker 1: they're like, shut the door, shut the door. And then

856
00:43:53,200 --> 00:43:57,040
Speaker 1: they shut the door and it's all I mean, it

857
00:43:57,080 --> 00:43:59,359
Speaker 1: looked fake. I don't know. I'm not saying it was fake,

858
00:43:59,400 --> 00:44:02,479
Speaker 1: but it looked fake and then he then they see

859
00:44:02,560 --> 00:44:05,360
Speaker 1: him wandering over like it's being open for the first

860
00:44:05,400 --> 00:44:07,640
Speaker 1: time and he has to work really hard to wrestle

861
00:44:07,680 --> 00:44:11,240
Speaker 1: this spaceship door open and it had already been opened,

862
00:44:11,280 --> 00:44:14,560
Speaker 1: and then they shut it again. I don't know, I

863
00:44:14,560 --> 00:44:18,480
Speaker 1: don't know. It looked a bit dodgy, That's all I'm saying.

864
00:44:19,440 --> 00:44:21,600
Speaker 2: Are you you would deny you reckon? It didn't go

865
00:44:21,880 --> 00:44:22,560
Speaker 2: up at all?

866
00:44:23,000 --> 00:44:25,880
Speaker 1: Oh, I'm just saying what I saw. It just looked

867
00:44:26,080 --> 00:44:30,960
Speaker 1: like I think. I think the problem with I'm sure

868
00:44:30,960 --> 00:44:33,120
Speaker 1: they went to space, right, so I don't think it's

869
00:44:33,160 --> 00:44:34,680
Speaker 1: fake space.

870
00:44:34,840 --> 00:44:37,040
Speaker 2: The edge, little tip edge of space.

871
00:44:37,719 --> 00:44:43,240
Speaker 1: It's like just past to Elgon. Yeah, but yeah, anyway,

872
00:44:43,719 --> 00:44:49,759
Speaker 1: I'm I'm conspiracy curious. I'm not a conspiracy I just

873
00:44:49,800 --> 00:44:53,640
Speaker 1: think that not everything is bullshit and not everything is true,

874
00:44:54,680 --> 00:44:56,640
Speaker 1: you know what I mean. I think like you should,

875
00:44:57,920 --> 00:45:00,840
Speaker 1: you should have some doubt and you should think critically,

876
00:45:00,920 --> 00:45:04,560
Speaker 1: and just because some people tell you something, it doesn't

877
00:45:04,600 --> 00:45:07,400
Speaker 1: mean you know, Well, we know humans lie, we know

878
00:45:07,520 --> 00:45:10,480
Speaker 1: that we know governments lie, we know that you know,

879
00:45:10,560 --> 00:45:12,359
Speaker 1: we know that there's a lot of bullshit. And that's

880
00:45:12,360 --> 00:45:14,920
Speaker 1: not to say everyone's lying or the government's lying, or

881
00:45:14,920 --> 00:45:16,719
Speaker 1: that's just to say you maybe want to think for

882
00:45:16,760 --> 00:45:19,359
Speaker 1: yourself and do your own And by the way, doing

883
00:45:19,400 --> 00:45:24,399
Speaker 1: your own research is not googling, that's not research. That's

884
00:45:24,400 --> 00:45:27,840
Speaker 1: not research. And watching a YouTube video also not research,

885
00:45:28,560 --> 00:45:31,560
Speaker 1: But says the man who just watched a YouTube video

886
00:45:32,000 --> 00:45:34,879
Speaker 1: and says it could be fake, So don't fucking listen

887
00:45:34,960 --> 00:45:37,120
Speaker 1: to me. That's why I said, I'm not sure.

888
00:45:38,440 --> 00:45:40,680
Speaker 2: Okay, just see you know, I think I put my

889
00:45:40,719 --> 00:45:42,920
Speaker 2: foot in it before. I was just double checking, you

890
00:45:42,960 --> 00:45:44,479
Speaker 2: know how I said it was one hundred and fifty

891
00:45:44,520 --> 00:45:46,920
Speaker 2: thousand dollars. That's just to reserve a spot.

892
00:45:49,320 --> 00:45:51,439
Speaker 1: On the Yeah, oh yeah, yeah.

893
00:45:51,440 --> 00:45:54,120
Speaker 2: Evidently it's unclear. No one's actually given the figures out.

894
00:45:54,120 --> 00:45:55,719
Speaker 2: But I just did a search on it and said

895
00:45:56,080 --> 00:45:57,640
Speaker 2: tens of millions of dollars.

896
00:45:58,040 --> 00:46:00,000
Speaker 1: Oh, I would totally think.

897
00:46:00,200 --> 00:46:00,439
Speaker 2: Yeah.

898
00:46:00,960 --> 00:46:04,759
Speaker 1: I mean you think about like there was only six ladies, right, yep,

899
00:46:05,560 --> 00:46:09,080
Speaker 1: Well that's nine hundred grand I mean that's pay for

900
00:46:09,160 --> 00:46:12,479
Speaker 1: the petrol out of the fucking atmosphere. Yep.

901
00:46:12,520 --> 00:46:16,760
Speaker 2: That rocket fuel costs a fair bit as you're motivate.

902
00:46:17,160 --> 00:46:23,120
Speaker 1: Rocket fuel rocket Yeah, I know, let's do let's do

903
00:46:23,120 --> 00:46:26,359
Speaker 1: another story or two. Oh bloody technical one.

904
00:46:26,640 --> 00:46:30,880
Speaker 2: Oh, technical one, Okay, there's I don't know if you've

905
00:46:30,880 --> 00:46:33,680
Speaker 2: ever been afflicted with this. Throughout my life, I've had

906
00:46:33,719 --> 00:46:37,759
Speaker 2: problems with motion sickness. So as a kid, I had

907
00:46:37,800 --> 00:46:39,640
Speaker 2: awful motion sickness when I was sitting in the back

908
00:46:39,640 --> 00:46:42,120
Speaker 2: of cars. I don't tend to any more pecular drive,

909
00:46:42,480 --> 00:46:46,920
Speaker 2: but I have had problems with motion sickness throughout my life.

910
00:46:47,520 --> 00:46:54,279
Speaker 2: And the University of Nagoya researchers there have said that

911
00:46:54,320 --> 00:46:58,520
Speaker 2: they may have struck a chord literally a one hundred

912
00:46:58,640 --> 00:47:03,560
Speaker 2: hertz sound that will stimulate the inner ear to improve

913
00:47:03,719 --> 00:47:08,320
Speaker 2: balance and reduce motion sickness. And we're talking within a minute,

914
00:47:08,960 --> 00:47:12,359
Speaker 2: So anybody who's ever suffered from motion sickness. And I've

915
00:47:12,360 --> 00:47:15,360
Speaker 2: had vertigo as well, so on top of that, vertigo

916
00:47:15,600 --> 00:47:17,879
Speaker 2: is the most debilitating thing that I wish no one

917
00:47:17,960 --> 00:47:21,840
Speaker 2: ever ever experiences in their entire life. And if anybody

918
00:47:21,920 --> 00:47:25,280
Speaker 2: listening has experienced it, me too, and it was awful.

919
00:47:25,920 --> 00:47:29,520
Speaker 2: But if this can you know, a non invasive, safe

920
00:47:29,800 --> 00:47:34,160
Speaker 2: sound being used to alleviate motion sickness, that would be

921
00:47:34,400 --> 00:47:37,399
Speaker 2: the best thing. Think about people going on ships, going

922
00:47:37,440 --> 00:47:40,319
Speaker 2: on cruises. You know how much of a waste of

923
00:47:40,360 --> 00:47:42,720
Speaker 2: money would that be If you're on a cruise, free food,

924
00:47:42,760 --> 00:47:44,680
Speaker 2: free booze and all you doing is chucking for the

925
00:47:44,719 --> 00:47:46,360
Speaker 2: whole time, that'd be awful, wouldn't it.

926
00:47:46,880 --> 00:47:50,160
Speaker 1: Oh? Yeah, and I'm sure it happens. It would have to.

927
00:47:50,360 --> 00:47:52,080
Speaker 2: And the other thing is that most people then have

928
00:47:52,120 --> 00:47:55,560
Speaker 2: to take I know that the first few days of voyage,

929
00:47:55,920 --> 00:47:59,800
Speaker 2: most people are there lining up outside the doctor's surgery

930
00:48:00,080 --> 00:48:03,440
Speaker 2: on the ship just getting drugs to stop motion sickness

931
00:48:04,120 --> 00:48:06,200
Speaker 2: and nausea. And that is pretty bad. Noisea is a

932
00:48:06,280 --> 00:48:09,600
Speaker 2: terrible thing to be afflicted with. But the study demons basically,

933
00:48:09,680 --> 00:48:13,640
Speaker 2: it's a short term stimulation using a sound called sound

934
00:48:13,880 --> 00:48:17,520
Speaker 2: spice as to be not scary spice. This is sound

935
00:48:17,520 --> 00:48:22,160
Speaker 2: spice and it alleviates the symptoms of motion sickness, which

936
00:48:22,200 --> 00:48:25,360
Speaker 2: is great. And you know, and because it's just audio,

937
00:48:26,800 --> 00:48:28,920
Speaker 2: and it's also within the range of what they call

938
00:48:29,040 --> 00:48:33,080
Speaker 2: everyday environmental noise exposure, so it's safe to listen to,

939
00:48:33,600 --> 00:48:36,480
Speaker 2: which means that it's non chemical and it's totally safe.

940
00:48:36,520 --> 00:48:38,880
Speaker 2: So for me, I jumped at that one. I thought,

941
00:48:38,960 --> 00:48:41,600
Speaker 2: what an awesome discovery that is. And if you just

942
00:48:41,680 --> 00:48:43,719
Speaker 2: chuck it in your cans, put your headphones, on. Have

943
00:48:43,760 --> 00:48:46,560
Speaker 2: a listen for a minute or so and the motion

944
00:48:46,680 --> 00:48:49,200
Speaker 2: sickness goes. That has got to be groundbreaking.

945
00:48:49,320 --> 00:48:51,680
Speaker 1: How do we find that? Like some people right now

946
00:48:51,680 --> 00:48:53,480
Speaker 1: are like, great, where do I get that?

947
00:48:54,160 --> 00:48:56,120
Speaker 2: Well, I mean, this is the research. It's being done

948
00:48:56,160 --> 00:48:58,920
Speaker 2: at Nagoya University, So I guess you would have to

949
00:48:58,960 --> 00:49:01,600
Speaker 2: follow up with the researchers. I mean they've done the

950
00:49:01,680 --> 00:49:05,120
Speaker 2: study and they've looked at the wavelength this one hundred

951
00:49:05,160 --> 00:49:09,120
Speaker 2: hurt sound that produced that. That is a specific wavelength

952
00:49:09,520 --> 00:49:13,000
Speaker 2: that then you know, stimulates the in the ear of

953
00:49:13,080 --> 00:49:16,160
Speaker 2: the whatever the balance mechanisms are in the inner ear.

954
00:49:16,239 --> 00:49:23,360
Speaker 2: So I don't think it's been commercialized yet, right, Yeah, Well.

955
00:49:23,239 --> 00:49:25,239
Speaker 1: Get back to me when I can actually listen to it,

956
00:49:25,239 --> 00:49:25,719
Speaker 1: will you.

957
00:49:27,560 --> 00:49:30,280
Speaker 2: I just thought it was really cool and I'm excited

958
00:49:30,280 --> 00:49:32,160
Speaker 2: about it. I'm really excited about it.

959
00:49:32,200 --> 00:49:34,040
Speaker 1: As someone, No, but you tell us all and then,

960
00:49:34,440 --> 00:49:36,120
Speaker 1: by the way, it doesn't exist.

961
00:49:36,160 --> 00:49:40,640
Speaker 2: But anyway, great story. Do you watch movie trailers? Do

962
00:49:40,719 --> 00:49:42,279
Speaker 2: you sit there saying I want to see that movie

963
00:49:42,400 --> 00:49:44,760
Speaker 2: right now. I'm going to wait till March or April

964
00:49:44,880 --> 00:49:47,160
Speaker 2: or June. I mean, I want to see the fabulous

965
00:49:47,200 --> 00:49:50,399
Speaker 2: four Fantastic four, Fantastic four. The trailers look great. Can't

966
00:49:50,400 --> 00:49:51,560
Speaker 2: wait for you?

967
00:49:51,600 --> 00:49:52,919
Speaker 1: Want to see the Fabulous four?

968
00:49:54,400 --> 00:49:56,360
Speaker 2: I think a fairly different bill war together.

969
00:49:56,719 --> 00:49:59,080
Speaker 1: The Fantastic Dude's going through Beverly Hills.

970
00:50:01,840 --> 00:50:09,319
Speaker 2: Oh dear, I think I'm being marginalized to here, tiff, Hey,

971
00:50:09,400 --> 00:50:14,239
Speaker 2: what I heard about this awesome hack attempt over the

972
00:50:14,320 --> 00:50:18,520
Speaker 2: last couple of weeks in Silicon Valley? Right? What they've

973
00:50:18,560 --> 00:50:20,600
Speaker 2: got crosswalks? You know, when you go to a crosswalker,

974
00:50:20,640 --> 00:50:23,000
Speaker 2: hit the button and you wait for it to change

975
00:50:23,080 --> 00:50:26,040
Speaker 2: and then you move across the street. Well, people have

976
00:50:26,120 --> 00:50:29,200
Speaker 2: been hacking them, or someone tacked them, and they've put

977
00:50:29,239 --> 00:50:34,680
Speaker 2: the voices right of Elon Musk saying stuff. So when

978
00:50:34,719 --> 00:50:36,960
Speaker 2: you go to the crosswalk and hit the button, you've

979
00:50:37,000 --> 00:50:39,920
Speaker 2: got these ridiculous things being said. I thought that was

980
00:50:39,960 --> 00:50:44,840
Speaker 2: pretty funny. So they were imitating Mark Zuckerberg and Elon Musk,

981
00:50:45,239 --> 00:50:50,719
Speaker 2: so things like in Musk's voice, it would say, f

982
00:50:50,840 --> 00:50:56,160
Speaker 2: U c K, I'm not alone. I'm sorry, I'm so alone.

983
00:50:56,360 --> 00:50:59,319
Speaker 2: So there's just all these ridiculous statements. But I thought

984
00:50:59,320 --> 00:51:02,040
Speaker 2: that was kind of pretty funny. That people are happy

985
00:51:02,040 --> 00:51:02,799
Speaker 2: in crosswalks.

986
00:51:03,600 --> 00:51:05,440
Speaker 1: That is funny. How do they do that? You know?

987
00:51:05,560 --> 00:51:09,440
Speaker 1: And we just quickly back. This is a seems like

988
00:51:09,480 --> 00:51:13,120
Speaker 1: a ridiculous link. But when you're talking before more about

989
00:51:13,160 --> 00:51:16,719
Speaker 1: the the Kawasaki wolfs that you and I are going

990
00:51:16,800 --> 00:51:19,480
Speaker 1: to ride out in the wilderness with four legs that

991
00:51:19,560 --> 00:51:24,840
Speaker 1: are robot wolf for Corlo. Yeah, yeah, yeah, you wouldn't

992
00:51:25,160 --> 00:51:29,840
Speaker 1: like everything is hackable now, Like if fucking like those

993
00:51:30,440 --> 00:51:34,040
Speaker 1: crossings are hackable or the lights or the you think, well,

994
00:51:34,440 --> 00:51:37,719
Speaker 1: maybe my Corleo wolf is going to be hackable. And

995
00:51:37,760 --> 00:51:41,480
Speaker 1: what if it decides it doesn't want to stop, Like

996
00:51:41,600 --> 00:51:43,919
Speaker 1: what if it gets sentient and it goes, no, fuck

997
00:51:44,000 --> 00:51:45,799
Speaker 1: this guy. I'm just going to go and live in

998
00:51:45,800 --> 00:51:50,480
Speaker 1: the wilderness and kill this guy. I can feel a

999
00:51:50,520 --> 00:51:53,799
Speaker 1: bit of paranoia kicking in a little bit a little bit.

1000
00:51:54,080 --> 00:51:56,560
Speaker 1: I do worry Patrick. Where can people find you, follow

1001
00:51:56,640 --> 00:51:58,640
Speaker 1: connect with you and meet Fritz?

1002
00:51:59,160 --> 00:52:01,600
Speaker 2: Oh sure, well they can just come round of my place.

1003
00:52:01,600 --> 00:52:04,600
Speaker 2: I want to meet Fritz. Now websites noow, dot com,

1004
00:52:04,680 --> 00:52:07,080
Speaker 2: dot au that's the kind of one of the main

1005
00:52:07,080 --> 00:52:09,680
Speaker 2: websites for my business. But we do all sorts of

1006
00:52:09,680 --> 00:52:11,560
Speaker 2: stuff and I do teach tai chi as well. So

1007
00:52:11,560 --> 00:52:13,920
Speaker 2: if you want to do some free tie chi lessons,

1008
00:52:14,040 --> 00:52:16,399
Speaker 2: you can just jump onto tai chi at home dot com,

1009
00:52:16,400 --> 00:52:19,759
Speaker 2: DoD au. So there's the two sides. There's my year

1010
00:52:19,800 --> 00:52:22,799
Speaker 2: and Yang side of myself Grego, the work side, and

1011
00:52:22,840 --> 00:52:23,640
Speaker 2: the taie cheese.

1012
00:52:24,200 --> 00:52:27,080
Speaker 1: I love all of your sites. I love your front,

1013
00:52:27,160 --> 00:52:30,920
Speaker 1: your back, I love all of you, and your emotional

1014
00:52:31,040 --> 00:52:35,080
Speaker 1: side and your tech side, your sarcastic side. I love

1015
00:52:35,280 --> 00:52:38,239
Speaker 1: all of them. If have you ever done any tai

1016
00:52:38,360 --> 00:52:39,399
Speaker 1: chi with the great Man?

1017
00:52:39,680 --> 00:52:40,200
Speaker 2: I have not.

1018
00:52:41,480 --> 00:52:44,240
Speaker 1: I think he should do it one on two class

1019
00:52:44,320 --> 00:52:44,880
Speaker 1: with us.

1020
00:52:45,200 --> 00:52:47,279
Speaker 2: I tried to Hey, wait a minute, if you tried that.

1021
00:52:47,360 --> 00:52:50,080
Speaker 2: Last year, I tried to do a session with anybody

1022
00:52:50,120 --> 00:52:51,920
Speaker 2: who wanted to join or remember we talked about it,

1023
00:52:52,960 --> 00:52:53,680
Speaker 2: happy to do it?

1024
00:52:54,320 --> 00:52:58,440
Speaker 1: I reckon, we should definitely this year do a zoom

1025
00:52:58,520 --> 00:53:00,400
Speaker 1: taye chi with you.

1026
00:53:00,280 --> 00:53:01,640
Speaker 2: And anybody who wants to join in.

1027
00:53:01,719 --> 00:53:03,520
Speaker 1: Has that? Can we do that?

1028
00:53:03,640 --> 00:53:06,919
Speaker 2: Can we do it just a random high chi session? Yep?

1029
00:53:07,280 --> 00:53:09,520
Speaker 2: We can do some breathing exercises. I mean. The thing

1030
00:53:09,560 --> 00:53:11,480
Speaker 2: I love about tai chi and it's funny to have

1031
00:53:11,560 --> 00:53:16,279
Speaker 2: the analogue and digital world mesh because for me, you know,

1032
00:53:17,480 --> 00:53:21,759
Speaker 2: we live stressful lives and technology phones, all of that

1033
00:53:21,800 --> 00:53:25,600
Speaker 2: sort of stuff being connected social media, it causes an

1034
00:53:25,640 --> 00:53:28,920
Speaker 2: apprehension and a level I think of fight or flight

1035
00:53:29,640 --> 00:53:32,439
Speaker 2: that stimulates our brains. So when we're looking at social media,

1036
00:53:32,440 --> 00:53:35,240
Speaker 2: our brains get stimulated and our fight or flight mechanism

1037
00:53:35,280 --> 00:53:38,840
Speaker 2: can be certainly stimulated by that. And then winding down

1038
00:53:38,920 --> 00:53:41,480
Speaker 2: and doing something like taye chiese slowing down your breathing,

1039
00:53:41,760 --> 00:53:44,520
Speaker 2: being in a mindful situation. And you might get that

1040
00:53:44,560 --> 00:53:46,319
Speaker 2: in the ring. Craig might get that in the gym,

1041
00:53:46,600 --> 00:53:48,920
Speaker 2: but for me, it's doing tai chi and sharing tai

1042
00:53:49,040 --> 00:53:53,040
Speaker 2: chi and seeing that light bulb moment when someone just

1043
00:53:53,120 --> 00:53:55,640
Speaker 2: gets it and then they slow down and they slow

1044
00:53:55,640 --> 00:53:58,160
Speaker 2: their breathing down and they come out of it feeling relaxed.

1045
00:53:58,440 --> 00:54:00,960
Speaker 2: That's really a great thing for me. It's a lovely

1046
00:54:01,040 --> 00:54:02,640
Speaker 2: gift to be able to share with people.

1047
00:54:04,920 --> 00:54:06,520
Speaker 5: Chie going once.

1048
00:54:06,440 --> 00:54:08,200
Speaker 2: Yeah, that's yeah exactly. So I do a bit of

1049
00:54:08,239 --> 00:54:11,400
Speaker 2: Chea going yeah exactly, it's great, and howl at the

1050
00:54:11,440 --> 00:54:12,600
Speaker 2: end of it, how were you?

1051
00:54:13,000 --> 00:54:13,680
Speaker 5: It was great?

1052
00:54:14,400 --> 00:54:17,200
Speaker 4: But it's that thing where you feel good at the

1053
00:54:17,280 --> 00:54:19,640
Speaker 4: end and you're like, I'm going to do this, but

1054
00:54:19,719 --> 00:54:22,239
Speaker 4: then you lose the grasp of that feeling and there's

1055
00:54:22,239 --> 00:54:24,320
Speaker 4: not enough drive to go do I really want to

1056
00:54:24,360 --> 00:54:26,680
Speaker 4: stand there and wave my arms around at.

1057
00:54:26,560 --> 00:54:30,120
Speaker 5: Nothing like so I'd rather go punch your face.

1058
00:54:31,880 --> 00:54:35,920
Speaker 1: It was like your jiu jitsu career.

1059
00:54:36,360 --> 00:54:39,359
Speaker 4: Yeah yeah, yeah, you can do things for long enough

1060
00:54:39,400 --> 00:54:42,600
Speaker 4: for I don't know your subconscious minds to give you

1061
00:54:42,680 --> 00:54:44,040
Speaker 4: that drive to just go.

1062
00:54:46,160 --> 00:54:48,520
Speaker 1: I'm going to go, and you've all got to go.

1063
00:54:48,760 --> 00:54:51,600
Speaker 1: We'll say goodbye a fair but Patrick, thank you, Tip,

1064
00:54:51,760 --> 00:54:54,800
Speaker 1: thank you, See you next time, kids,