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Speaker 1: I get a team Patrick and Craig Harper reporting in

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Speaker 1: for Judy. I'm not sure who Judy is. She's not here,

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Speaker 1: neither is Tiff, so it's just us too. And you're

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Speaker 1: already shaking your head at my terrible sense of humor.

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Speaker 1: Straight off the.

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Speaker 2: Bat, I'm the one sitting here with a dog on

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Speaker 2: my lap, so you could at least say Fritz is

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Speaker 2: here with this as well. He's not well.

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Speaker 1: I mean, if it was, if we were telling, I

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Speaker 1: would say hello. But I've said hello to him already.

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Speaker 1: But Fritz is Fritz is bigger than I thought. Fritz

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Speaker 1: is sitting on Patrick's lap. Fritz, of course is that's

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Speaker 1: going to say something silly. But of course he's your dog,

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Speaker 1: who is a shnout.

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Speaker 2: He said, he's bigger than you thought. You've met him

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Speaker 2: so many times.

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Speaker 1: By no, but he just I always think he's like

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Speaker 1: little Maltese terrier size, but he's not. He's like double that.

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Speaker 1: And he's got a big fucking scone too. But there's

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Speaker 1: a lot of hair hanging off it. The opposite, it

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Speaker 1: looks like one of those old guys. It sits up

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Speaker 1: in the stalls in the Muppets, you know, those two

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Speaker 1: old dudes. He does look like one of them.

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Speaker 2: Yeah, he's got epic eyebrows and a beard.

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Speaker 1: It does. Indeed. How I am house things up in

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Speaker 1: the rural confines.

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Speaker 2: Well, I've taken my first break in sixteen years in January,

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Speaker 2: so I'm kind of just at the tail end of

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Speaker 2: a break. I've done lots of stuff, just hanging with friends.

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Speaker 2: I got a projector over the Black Friday sales a

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Speaker 2: little while ago, and you know, you take a bit

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Speaker 2: of a gamble on those sales, you know, the half

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Speaker 2: priced sales, and I thought, you know what, I want

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Speaker 2: to buy a projector so I can project it on

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Speaker 2: the wall and watch movies with my friends. John Wick

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Speaker 2: and all that sort of stuff, you know, bigger stuff.

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Speaker 1: I wouldn't have picked you as a John Wick man.

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Speaker 1: I love John Wick.

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Speaker 2: Yeah me too. We're up. We're I've got a couple

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Speaker 2: of friends who bring their dogs as well, and we're

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Speaker 2: going to watch John Wick four tonight. We're up to

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Speaker 2: number four. But I took a hunt and bought a

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Speaker 2: Chinese projector. Don't ask me what it's called the brand,

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Speaker 2: because I can't pronounce it. And it ended up for

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Speaker 2: a really inexpensive amount of money. I got this really

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Speaker 2: great projector. I was very surprised. Okay, so here's the

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Speaker 2: problem with what you just said. I didn't tell you

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Speaker 2: what brand is because I can't rememe what it is.

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Speaker 1: Yeah, well you're the tech guy and you come on

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Speaker 1: and you go, I got this great product. I can't

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Speaker 1: tell you the name. I mean, bad, isn't it?

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Speaker 2: Yeah, yeah, yeah, true. I could have researched it first

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Speaker 2: and jumped on. But I didn't realize I was talking

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Speaker 2: about my projector until like this very second, until.

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Speaker 1: You started talking about your projector. That was kind of

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Speaker 1: on me when hey, when you say projector, So this

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Speaker 1: is just to play. So this is not where you

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Speaker 1: can project Free to Wear TV up on the wall.

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Speaker 2: This is you can Well, I don't watch Free to

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Speaker 2: Wear TV. I'm watched in twenty years. But I can

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Speaker 2: plug in my Google Chrome cast and you know, I

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Speaker 2: can watch streaming services and stuff like that. You can

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Speaker 2: watch ABC, I view and all. I mean, these days

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Speaker 2: you don't really need to watch freedom are do? You?

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Speaker 2: Just kind of really so that ABC what the.

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Speaker 1: What the kids called traditional media or mainstream media. It's

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Speaker 1: kind of kind of dying a little bit, isn't it.

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Speaker 2: The key point is that the kids don't call traditional media.

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Speaker 2: It's the oldies that call traditional media. Is it the

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Speaker 2: kids are streaming because the kids don't watch television.

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Speaker 1: I don't think you're the oldies. I think it's the

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Speaker 1: ones in the middle, because my folks are definitely not

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Speaker 1: calling it traditional media. They're just calling it the telly. Yeah.

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Speaker 2: True. Now it's funny, isn't it. You know? I wonder

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Speaker 2: what the landscape is going to look like in ten

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Speaker 2: years time because the likes of radio and TV. I mean,

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Speaker 2: no one wants to watch ads anymore. A movie that's

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Speaker 2: broken up into one hundred pieces. Can you imagine watching

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Speaker 2: a movie and they're having to take a break every

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Speaker 2: ten minutes?

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Speaker 1: Well, and even like, even if there is something on

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Speaker 1: the telly that I want to watch, I record it

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Speaker 1: and then watch it later.

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Speaker 2: And then can you just skip past?

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Speaker 1: Yeah, yeah, you skipped the ads?

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Speaker 2: There you go.

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Speaker 1: Yeah, so you watch your one hour of There's a

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Speaker 1: show on Channel ten on Monday nights called Mattlock, which

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Speaker 1: is actually quite a good show. It's got I think

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Speaker 1: it's Kathy Bates, remember that lady from Misery. Speaking of

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Speaker 1: good movies, she's in it, and she's great, and it's great.

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Speaker 1: It's a really good show. It's just, you know, one

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Speaker 1: of those things where you don't have to overly focus

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Speaker 1: and you just put your brain on the coffee table

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Speaker 1: for an hour and just relax and it's good. It's

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Speaker 1: just entertainment. But if you watch it without the ads,

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Speaker 1: it's like thirty eight to forty minutes versus and like,

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Speaker 1: who on earth would go? You know what, I want

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Speaker 1: to look at ads for twenty minutes and you don't,

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Speaker 1: you know, I'm with you. I wonder what. I wonder

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Speaker 1: what the media landscape will look like in ten years,

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Speaker 1: because at the moment, like twelve months is a long time,

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Speaker 1: like it's evolving rapidly.

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Speaker 2: It is constantly, and you know, you know that. I'm

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Speaker 2: a big doptor of VR. I love having my Virtual

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Speaker 2: reality headset on and you know, you can put on.

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Speaker 2: It's funny. I've got this projector, which is great that

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Speaker 2: projects onto a screen, but I've also got a VR headset.

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Speaker 2: If I'm by myself, I'll just put the VR headset

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Speaker 2: on and I've got the biggest screen you'll ever see,

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Speaker 2: you know, like sitting at a drive in theater anyone

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Speaker 2: knows about anymore.

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Speaker 1: I wonder what that is. I wonder what when you've

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Speaker 1: got those VR goggles on and you're watching a movie

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Speaker 1: with goggles on, I wonder what that is the equivalent

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Speaker 1: of in terms of dimensions of screen, if you were, say,

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Speaker 1: sitting on a couch fifteen feet from a wall or

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Speaker 1: ten feet from a wall. Bit like one hundred inch TV,

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Speaker 1: I reckon.

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Speaker 2: Two hundred easily. Really well, you can scale it so

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Speaker 2: you can choose how big you want it to be.

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Speaker 2: You can be in a virtual lounges, lounge room, or

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Speaker 2: a virtual cinema. You can even choose what sort of cinema,

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Speaker 2: So if you want an art deco cinema as opposed

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Speaker 2: to the bridge of the Starship Enterprise, you can choose

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Speaker 2: whatever you know your environment is, and then also choose

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Speaker 2: the size of the screen. It's pretty amazing. But you

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Speaker 2: know what's going to be really funny, and you'll see this.

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Speaker 2: You do a lot more plane travel than I do.

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Speaker 2: Have you ever seen anybody wearing a headset on an

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Speaker 2: aeroplane now like they are and doing VR and gaming?

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Speaker 1: Yeah? Yeah, yeah. The guy sitting next to me on

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Speaker 1: the way to Brisbane who was watching porn. That didn't

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Speaker 1: work out well anyway.

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Speaker 2: Did I say something that's the biggest and most snobby

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Speaker 2: thing that you'd ever imagine. Well, of course, quite often

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Speaker 2: on a plane I put headsets on that I actually

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Speaker 2: listen to anything. I just have the headset on because

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Speaker 2: then people don't talk to you.

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Speaker 1: That is, that is Why are you like that? You're

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Speaker 1: a very chatty kathy? Why why would you do that?

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Speaker 2: Because I sometimes just need space. But when you're stuck

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Speaker 2: next to somebody for in an ordinate amount of time,

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Speaker 2: particularly if you know them, No I'm kidding, no, But

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Speaker 2: if you're stuck on a plane and you get you know,

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Speaker 2: you get into those conversations and sometimes I just need

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Speaker 2: space just to meditate or you know, I get it.

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Speaker 1: Yeah, I've been asked. I mean I've had a lot

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Speaker 1: of flights, but I've been asked, I don't know a

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Speaker 1: hundred times, what do you do you know? As in

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Speaker 1: And usually it's a dude, to be honest, not many.

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Speaker 1: I don't know why that is. I mean I've been

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Speaker 1: asked by women. But you know, when you're just sitting

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Speaker 1: end up chatting neck sitting next to someone and chatting

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Speaker 1: about not much, and they're like, what do you do?

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Speaker 1: I don't really know what's tell them, but I reckon.

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Speaker 1: At least twenty times I've said, what do you think

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Speaker 1: I do? What's your best guess? Everyone comes military or policeman.

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Speaker 2: Wait a minute, Wait a minute. So really that's what

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Speaker 2: people ask you when you're in first class.

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Speaker 1: You're an idiot. I'm up the back, I'm up the

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Speaker 1: bloody cheaps. I used to I tell you what. My

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Speaker 1: first couple of trips, I went to the States when

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Speaker 1: smoking was still allowed up the back of the plane

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Speaker 1: because clearly, you know, once you go from row twenty

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Speaker 1: where there's no smoking, to row twenty one, where there

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Speaker 1: is smoking, there's a magical smoke exclusion screen, and that

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Speaker 1: smoke couldn't possibly transfer to the row in front.

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Speaker 2: Yeah, when we were kids, my first trip overseas was

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Speaker 2: to go to Malta with my mum, and mum took

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Speaker 2: us over there and we're flying on an Ala Talia

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Speaker 2: jet and I reckon. It took a lot of work

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Speaker 2: to get that plane up in the sky. It was

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Speaker 2: really screaming its lungsid really and we were in the

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Speaker 2: row that separated us from smoking. We passive smoked the

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Speaker 2: entire trip of the.

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Speaker 1: Age of ten. By the time you got to Europe,

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Speaker 1: you had lung cancer. I want to ask you one

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Speaker 1: question before we jump into your list. The other day

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Speaker 1: I was at I don't know JB Hi Fi. I

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Speaker 1: think it was buying some shit and there was one

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Speaker 1: hundred inch TV and I'm thinking, yeah, this is just

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Speaker 1: like stupid now. And also it seems to me inefficient

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Speaker 1: to be building screens that big, and to like, I

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Speaker 1: think that actual physical TVs the way that we have

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Speaker 1: them as in screens are going to be redundant, and

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Speaker 1: that there will be I don't know, almost like I

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Speaker 1: picture some kind of fine almost thin like almost paper thin,

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Speaker 1: or a little like a little bit like one or

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Speaker 1: two millimeters that will just sit up on the wall

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Speaker 1: rather than a big physical screen that's like two centimeters thick.

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Speaker 1: Or if they refine the projection thing to a point

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Speaker 1: where you know that what do you call it the clarity?

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Speaker 2: What do we call that? The resolution? Is you know,

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Speaker 2: comparable to Oh, it is there? No, it's absolutely there.

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Speaker 2: That The issue with projectors and screens has always been

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Speaker 2: the ambient light that's in the room. But you can

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Speaker 2: now get and exactly what you're talking about. So projector

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Speaker 2: at one end, but you have a not a filament,

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Speaker 2: but you've got a very thin screen that sticks to

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Speaker 2: the wall. But it's got micro lenses on the front

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Speaker 2: of it. And so the way it works is ambient

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Speaker 2: light gets reflected away and the actual projector light gets

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Speaker 2: bounced straight in front of you. So when you think

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Speaker 2: about it in those terms, it makes the screen look

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Speaker 2: fully clear, fully bright high rears, but the ambient light

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Speaker 2: around coming from windows and everywhere else is reflected elsewhere,

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Speaker 2: so it makes it look like a normal TV. So

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Speaker 2: you pay a lot for those sorts of screens. They're

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Speaker 2: not just a cheap fabric you've gone down to spotlight

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Speaker 2: or you know, or just normal paint. But they do

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Speaker 2: reflect in a certain way to take the ambient light

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Speaker 2: away and only have the direct light from the projector

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Speaker 2: pointing at you.

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Speaker 1: Hmm, I reckon. In the not too distant future, children

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Speaker 1: we like, hey, have a look at this this, have

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Speaker 1: a look at this picture or this image. That's called

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Speaker 1: a television. They used to have those, how fuck an archaic,

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Speaker 1: these big clunky things hanging on a wall.

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Speaker 2: But the one hundred inch that you were talking about

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Speaker 2: these days. What staggers me is remember the old plasmas

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Speaker 2: where you'd cripple yourself trying to get it up onto.

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Speaker 1: A wall or oh yeah, you're so.

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Speaker 2: Heavy, and now they almost are paper thing. There was

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Speaker 2: I think it might have been LG. I don't want

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Speaker 2: to go into the do too much detail because it

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Speaker 2: might not have been, but I think it was LG

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Speaker 2: came up with a roll up screen and it came up.

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Speaker 2: It was a rectangle. It looked just like a little

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Speaker 2: box that's sat on the ground, and then this came

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Speaker 2: up behind it and rolled up. So you know, screens

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Speaker 2: have got amazingly thin. The resolution's fantastic, they look brilliant,

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Speaker 2: and blacks are true black. So that's always been the

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Speaker 2: test of a good screen, whether a black is a

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Speaker 2: true black color or a kind of a gray or

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Speaker 2: a deep gray, and that makes a lot of difference

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Speaker 2: for the depth perception and how it really looks. But

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Speaker 2: I know I've talked about this many times, and you

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Speaker 2: can do it with my current VR headset. But my

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Speaker 2: vision for watching stuff, particularly if you're by yourself, is

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Speaker 2: to be wearing your normal glasses and have the screen

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Speaker 2: hovering in front of you. Because it's projected onto the

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Speaker 2: glasses that you're wearing, augmented reality.

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Speaker 1: Yeah, now I don't want to take a dark turn

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Speaker 1: with this, but this is I just found this tragic

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Speaker 1: and sad and interesting. So do you remember, very recently

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Speaker 1: as we record, I guess it would be a week

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Speaker 1: ago or less, what happened in New Orleans in the

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Speaker 1: French Quarter with you don't watch the news, but there

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Speaker 1: was so there was a guy who rented an F

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Speaker 1: one fifty truck who just drove into a crowd of

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Speaker 1: people mate and and killed all these people and hurt

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Speaker 1: all these people, like absolutely tragic and terrible. Did you

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Speaker 1: hear about that at all?

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Speaker 2: Yeah?

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Speaker 1: Yeah, so but do you know they so obviously after

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Speaker 1: that and I think he was shot dead, but then

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Speaker 1: they did all this, you know, digging into who he

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Speaker 1: was and his motivation and affiliation and all of this.

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Speaker 1: And do you know how he did his recon like

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Speaker 1: he did his he went and did his planning and

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Speaker 1: scoping out and he had some of those glasses. I

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Speaker 1: had won't so which brand because I might get it wrong,

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Speaker 1: so but obviously it's not the but yes, he had

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Speaker 1: those video glasses where he just walked through the area

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Speaker 1: that he was going to commit this heinous crime, and

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Speaker 1: so he didn't have to walk through vi per se overtly,

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Speaker 1: and he walked through with these glasses on, took all

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Speaker 1: this footage or this video footage of where he was

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Speaker 1: to check out where all the bollards and barriers and

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Speaker 1: so he could do the most damage. And yeah, he

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Speaker 1: actually used those glasses that we've talked talked about quite recently.

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Speaker 2: Yeah. Look, I was playing around with a VR, like

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Speaker 2: using Google street View and immersing myself and moving around

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Speaker 2: and I was checking out. I think I did a

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Speaker 2: tour of Rome in virtual reality which was pretty amazing.

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Speaker 2: And I went to Bath in the UK. What of

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Speaker 2: the revisits and places using this new mapping software that

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Speaker 2: uses basically a combination of Google street View but also

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Speaker 2: the aerial View where it creates the mapped buildings that

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Speaker 2: are actually in full three D so you can navigate

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Speaker 2: through and move in VR right through the buildings. I

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Speaker 2: went through Melbourne, you know, just to look at how

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Speaker 2: good it was, and it is. It's phenomenal. And this

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Speaker 2: is an isolated incident. You can use any tool. It's

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Speaker 2: like that four wheel drive that SUV. If the other

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Speaker 2: person on the road is driving it sensibly and doing

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Speaker 2: the right thing. Anything can be turned into a weapon

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Speaker 2: and weaponize I see what you're saying, and yes, recon

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Speaker 2: is very very different. You know, you could jump onto

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Speaker 2: Microsoft Flight simulator and fly anywhere in the world to

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Speaker 2: any airport and become proficient in flying any sort of aircraft.

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Speaker 2: You know, that's the reality these days that you know,

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Speaker 2: hopefully we'll never see something like nine to eleven, but

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Speaker 2: the reality of it is that you don't really need

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Speaker 2: to leave your home to get that experience of being

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Speaker 2: either virtually in an environment or training on a plane on.

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Speaker 1: Which is why we're seeing, among many other developments and

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Speaker 1: evolutions in the military space, we're seeing drones being used

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Speaker 1: more and more as weapons and as you know, mechanisms

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Speaker 1: for inflicting damage or you know. So all right, let's

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Speaker 1: get up gone.

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Speaker 2: Just you're talking about drones. I'm really excited. I'm not

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Speaker 2: sure how much I should say about this because he's

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Speaker 2: working for the for the federal government and working for

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Speaker 2: the Defense Force. But one of my best mates is

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Speaker 2: an aerospace engineer and he'll be working on the Australian

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Speaker 2: Government's brought some drones for just reconnaissance and flying our

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Speaker 2: coastline because we've got a bloody big island. Actually it's

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Speaker 2: not an island though, Is it an island or a continent?

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Speaker 2: I think we're a continent, not an island.

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Speaker 1: Both.

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Speaker 2: We're both. Yeah, well, I mean we are an islands.

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Speaker 2: We're surrounded by water. But because coastline, the government's got

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Speaker 2: these American drones that can fly. They have an amazing range.

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Speaker 2: But you know what was really interesting is the pilots

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Speaker 2: are in Adelaide and they fly out of Darwin.

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Speaker 1: Yeah. Well, I mean they could the pilots could be anywhere,

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Speaker 1: couldn't they.

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Speaker 3: Yeah.

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Speaker 2: That does my head in. That's pretty amazing. But you're

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Speaker 2: also talking about, you know, spy versus spy stuff. And

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Speaker 2: one of the interesting things blew my mind is you

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Speaker 2: know when you buy a USB cable that you connect

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Speaker 2: to charge your phone. Yet hackers can now put tech

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Speaker 2: into you can buy cables that have a little transmitter

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Speaker 2: and can hack into your phone via the cable. I

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Speaker 2: couldn't believe this when I saw this. A USB cable

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Speaker 2: that actually hides malicious hardware that's built into the cable

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Speaker 2: like a little mini transmitter. It's got all the technology

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Speaker 2: is actually built in to that little tiny, tiny, tiny cable,

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Speaker 2: and that hackers are now using them. I mean this

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Speaker 2: came out the original ones came out in two thousand

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Speaker 2: and eight, but of course they were clunky and bigger.

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Speaker 2: But now they've got them down to a point where

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Speaker 2: you can't tell, and some companies are having to buy

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Speaker 2: tech to scan the cables to make sure that they're safe.

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Speaker 2: And I guess the story. Yeah, So the story behind

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Speaker 2: that is that you should always buy cables and things

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Speaker 2: from a reputable reseller. And one of the things people

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Speaker 2: may not realize, age you realize, is if you buy

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Speaker 2: a cheap USB cable and they're not all the same.

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Speaker 2: Some of them are designed just for charging, but not

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Speaker 2: all of them are designed for data transfer. So have

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Speaker 2: you ever had a cable where you've plugged it in

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Speaker 2: if the phone says it's not charging properly.

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Speaker 1: No, But my issue just quickly with those USB cables

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Speaker 1: that you use to charge your iPhone and the like.

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Speaker 1: If you get a shit one, like a six dollar one,

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Speaker 1: or even some of the better ones that you buy,

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Speaker 1: allegedly the ones with the plastic coating, they break.

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Speaker 2: I like them. The ones with the material around them.

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Speaker 1: Yeah yeah, I like that. I buy those now as well.

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Speaker 1: So yeah, no, I didn't know that. I didn't know that.

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Speaker 1: I can I bring in one topic, that's I I

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Speaker 1: see there's all this shit going on that I don't

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Speaker 1: know that. You know that it's going on because you

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Speaker 1: don't watch Telly.

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Speaker 2: Oh no, that's right. The whole world's going to come

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Speaker 2: to an endgoing fellas. Why what just because I watched

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Speaker 2: criticism that I don't television.

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Speaker 1: It's not a criticism, it's well but in the sand.

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Speaker 1: If you only pay attention to certain sources, then you

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Speaker 1: won't get some information. If I'm with you, I listened

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Speaker 1: to you, Okay, I'll be fucking hell. Don't make me

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Speaker 1: come over there. I'll give you. I'm going to be

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Speaker 1: your news source.

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Speaker 2: So have you heard?

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Speaker 1: No, I thought you would be fascinated by this, all

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Speaker 1: the drone sightings over New Jersey in the last couple

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Speaker 1: of months.

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Speaker 2: Surely you've got on my feet anything to do with

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Speaker 2: like drones.

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Speaker 1: UF. Of course we've got that. They had all these

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Speaker 1: things in the sky, the size of SUVs.

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Speaker 2: Could they tell what they I don't think they could

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Speaker 2: tell what size they were, but they droned.

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Speaker 1: They definitely could because they had Yeah. I mean I

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Speaker 1: listened to three hours of this on Rogan with a

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Speaker 1: guy who spoke about all this. It's like, oh my god,

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Speaker 1: you would have loved it.

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Speaker 2: I did. I saw parts of it. I mean, because

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Speaker 2: people were getting parents at one point and trying to

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Speaker 2: shoot them down, and it was over the top. It

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Speaker 2: was pretty pretty big stuff.

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Speaker 1: Do you think do you think there's any chance that,

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Speaker 1: like what, did you believe in the potential of life

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Speaker 1: on other planets and technology from other planets? Not yes

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Speaker 1: or no, there is, but do you believe it's possible?

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Speaker 1: I would say undoubtedly.

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Speaker 2: Life on other planets would have to be in some way,

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Speaker 2: shape or form. So we're talking a mebur or something

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Speaker 2: like that, the chemicals that all the things that come

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Speaker 2: together to make life.

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Speaker 1: Asking I'm asking intelligence, Well.

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Speaker 2: I mean it's you could probably ask the same question

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Speaker 2: about the ask right now in this room of us. No.

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Speaker 2: No intelligence, I'm not sure life. Yes intelligence. The thing is,

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Speaker 2: if there was intelligence, the problem we're going to face

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Speaker 2: is the distance, the tyranny of distance. I have relatives

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Speaker 2: that won't even fly from Europe to Australia. Yeah, let

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Speaker 2: alone you know, an alien visiting the Earth from you know,

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Speaker 2: twenty light years away, it's too far. The problem is

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Speaker 2: the distance. So unless they've been able to overcome that

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Speaker 2: using wormholes or some sort of quantum you know, a

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Speaker 2: way to do it, I don't know, but i'd like

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Speaker 2: to think that there were I certainly don't have a

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Speaker 2: problem with knowing, with thinking that there's life on other planets.

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Speaker 2: It's just, you know, do aliens visit us? How the

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Speaker 2: hell are they going to get there? But we don't

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Speaker 2: know what we don't know. And that's the thing. You know.

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Speaker 2: We think we're knowledgeable, and you're smart. You know a

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Speaker 2: lot about you know, giving what your degrees, you understand

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Speaker 2: a lot about human human beings and how they think

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Speaker 2: and their perceptions. But you don't know what you don't know.

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Speaker 2: And so is it possible? Yeah, of course it's possible.

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Speaker 2: Do I believe it? Do I believe it? I'd like

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Speaker 2: to believe it. I want to believe the A poster

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Speaker 2: that I used to have in my office because Fox

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Speaker 2: Molder had one in his Remember the X Files. I

421
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Speaker 2: love that.

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Speaker 4: I love this well, yeah, I love Scully, love Molder.

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Speaker 4: But I think also the thing is I think The

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Speaker 4: thing is with trying to you know, if you had

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Speaker 4: to ask me twenty years ago, I would have went

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Speaker 4: absolutely no and then.

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Speaker 1: And I'm not saying now absolutely yes. I just don't know.

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Speaker 1: And I think the thing is that anything that we

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Speaker 1: don't understand has the potential to scare us. And I

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Speaker 1: think most people are scared of certain things that they

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Speaker 1: can't understand. And also, you are right when we don't

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Speaker 1: know what we don't know. So when you and I

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Speaker 1: you go the tyranny of distance and all of that,

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Speaker 1: we got like, yeah, with our understanding of distance and

435
00:22:40,240 --> 00:22:44,280
Speaker 1: our understanding of you know, what we call physics and

436
00:22:44,520 --> 00:22:47,679
Speaker 1: science and measurement, like oh, the speed of light and

437
00:22:47,720 --> 00:22:50,000
Speaker 1: the speed of sound and oh yeah, but you can

438
00:22:50,040 --> 00:22:53,119
Speaker 1: only travel this far. Yeah, no, we can only travel that.

439
00:22:53,400 --> 00:22:56,920
Speaker 1: It's like, well, we're talking about our version of reality

440
00:22:56,920 --> 00:23:00,720
Speaker 1: and our version of physics and science. And there's a

441
00:23:00,720 --> 00:23:03,960
Speaker 1: guy called I think he's Captain Andy Fraber, who was

442
00:23:04,000 --> 00:23:09,399
Speaker 1: a US Air Force pilot and he's encountered lots of

443
00:23:10,040 --> 00:23:13,240
Speaker 1: and he's legit straight up, and he didn't want to talk.

444
00:23:13,640 --> 00:23:18,359
Speaker 1: He's like this very reluctant commentator on UFOs and he

445
00:23:19,080 --> 00:23:23,320
Speaker 1: talks about seeing things that were on the radar and

446
00:23:23,440 --> 00:23:25,280
Speaker 1: things that he could see both on the radar and

447
00:23:25,320 --> 00:23:30,119
Speaker 1: with his eyes and then instantly gone, like there was

448
00:23:30,200 --> 00:23:34,600
Speaker 1: no acceleration and travel so to speak. It was just

449
00:23:34,800 --> 00:23:39,520
Speaker 1: instantly somewhere else, you know. And also these things where

450
00:23:39,560 --> 00:23:42,840
Speaker 1: as you would understand better than me, he's looking at

451
00:23:42,880 --> 00:23:47,320
Speaker 1: them and there's no heat signature, like there's no apparent

452
00:23:48,080 --> 00:23:52,159
Speaker 1: energy source. That's familiar to us because energy, you know,

453
00:23:52,160 --> 00:23:55,639
Speaker 1: when energy is being used, heat as being produced, you know,

454
00:23:55,720 --> 00:23:58,919
Speaker 1: So they're looking at these things which detect heat, and

455
00:23:58,960 --> 00:24:02,399
Speaker 1: there was no heat, but there was energy, you know,

456
00:24:02,600 --> 00:24:05,560
Speaker 1: So that makes no sense to us. So I mean,

457
00:24:06,440 --> 00:24:10,359
Speaker 1: I don't fucking know, and you don't know, but I'm

458
00:24:11,240 --> 00:24:13,280
Speaker 1: I'm more curious than I've ever been.

459
00:24:13,800 --> 00:24:16,960
Speaker 2: It's good. That's that's good. Curiosity is what fuels and

460
00:24:17,000 --> 00:24:20,119
Speaker 2: what has fueled invention, hasn't it. It's the mother of

461
00:24:20,119 --> 00:24:22,480
Speaker 2: all invention. And actually, you know, they don't call them

462
00:24:22,560 --> 00:24:26,280
Speaker 2: UFOs anhim or do they. They call them UAPs Unidentified

463
00:24:26,320 --> 00:24:27,639
Speaker 2: anomalous phenomenon.

464
00:24:28,160 --> 00:24:30,600
Speaker 1: Yeah, correct, I think I think that's because it's more

465
00:24:30,680 --> 00:24:34,439
Speaker 1: digestible for the public, that's right, because the public straight

466
00:24:34,440 --> 00:24:37,600
Speaker 1: away goes flying sources and all right, mate, I'll get

467
00:24:37,600 --> 00:24:38,920
Speaker 1: out of your road. Off you go.

468
00:24:39,320 --> 00:24:41,480
Speaker 2: Well, because you know, it made me think a lot

469
00:24:41,480 --> 00:24:43,720
Speaker 2: about when you were chatting about what we don't know,

470
00:24:44,960 --> 00:24:49,399
Speaker 2: quantum teleportation. Okay, So quantum teleportation. If you heard the

471
00:24:49,440 --> 00:24:52,000
Speaker 2: buzz about that at the moment, and you have you

472
00:24:52,080 --> 00:24:54,120
Speaker 2: got any idea what it means and what it could mean.

473
00:24:54,600 --> 00:24:58,520
Speaker 1: Well, I know what teleportation is because I watched Star Trek.

474
00:24:58,480 --> 00:25:01,640
Speaker 2: Yes exactly the wrong thing. Isn't that funny because it's

475
00:25:01,680 --> 00:25:06,800
Speaker 2: badly named, because yes, everyone thinks of Star Trek teliportation.

476
00:25:07,200 --> 00:25:10,600
Speaker 2: So quantum teleportation, and this is the term they're using,

477
00:25:10,760 --> 00:25:14,360
Speaker 2: is basically two quantum particles because they know that there

478
00:25:14,359 --> 00:25:17,639
Speaker 2: are basically you've got particles that can be linked, but

479
00:25:18,280 --> 00:25:21,600
Speaker 2: they're over vast distances. And not only this is not

480
00:25:21,680 --> 00:25:24,600
Speaker 2: just theoretical, now this has been practiced. China is actually

481
00:25:24,600 --> 00:25:27,560
Speaker 2: working really hard on this because what you can do

482
00:25:28,400 --> 00:25:30,760
Speaker 2: is you can have two link particles and you can

483
00:25:30,800 --> 00:25:34,680
Speaker 2: transmit information, but they're not transmitted in the usual way

484
00:25:34,720 --> 00:25:38,840
Speaker 2: that they can be intercepted. Okay, so what they're saying

485
00:25:38,960 --> 00:25:42,640
Speaker 2: is that you transfer that information from me to you.

486
00:25:43,160 --> 00:25:46,640
Speaker 2: But they know that they can link these particles, say

487
00:25:46,640 --> 00:25:49,600
Speaker 2: over a thousand kilometers, and it's been proven they can

488
00:25:49,640 --> 00:25:56,080
Speaker 2: have cryptography communication, any sort of transfer of data doesn't

489
00:25:56,080 --> 00:25:59,600
Speaker 2: actually go from A to B because the particles react

490
00:25:59,720 --> 00:26:02,679
Speaker 2: in the same way. And they don't exactly know why

491
00:26:02,720 --> 00:26:06,000
Speaker 2: they're quantum linked, but they know one moves the other

492
00:26:06,040 --> 00:26:09,680
Speaker 2: one moves in an identical way over a vast distance.

493
00:26:09,840 --> 00:26:12,159
Speaker 2: They don't know how it works, but it's provable, and

494
00:26:12,240 --> 00:26:14,320
Speaker 2: it's something and it sounds like sci fi, but it's

495
00:26:14,359 --> 00:26:18,440
Speaker 2: actually happening. And so what they're saying is now that

496
00:26:19,640 --> 00:26:22,080
Speaker 2: an electron or a particle like a photon or an

497
00:26:22,080 --> 00:26:25,359
Speaker 2: electron can be linked over a vast distance, which means

498
00:26:25,440 --> 00:26:29,920
Speaker 2: you can we can be having a cryptographic conversation that

499
00:26:30,119 --> 00:26:32,960
Speaker 2: no one else can can can kind of listen in

500
00:26:33,040 --> 00:26:38,639
Speaker 2: on because no physical transmission between A and B because

501
00:26:38,680 --> 00:26:42,439
Speaker 2: the linked particles are resonating in the same way. It

502
00:26:42,560 --> 00:26:44,320
Speaker 2: kind of does my head in a little bit. And

503
00:26:44,520 --> 00:26:48,200
Speaker 2: they say, anybody who says they understand quantum physics doesn't

504
00:26:48,280 --> 00:26:49,879
Speaker 2: understand quantum physics.

505
00:26:50,560 --> 00:26:56,320
Speaker 1: I mean, that's yeah, yeah, exactly exactly. And I had

506
00:26:56,320 --> 00:27:04,200
Speaker 1: a guy on, Professor Ami Goswami, who's this gene older

507
00:27:04,320 --> 00:27:10,680
Speaker 1: American Indian, and by Indian, I mean the continent of India.

508
00:27:11,480 --> 00:27:16,960
Speaker 1: It's like this spiritual physics, like this intersection of spirituality

509
00:27:16,960 --> 00:27:20,000
Speaker 1: in academia and research. And he was trying to explain

510
00:27:21,200 --> 00:27:24,919
Speaker 1: quantum computing and I'm like, I'm out, I'm out. You know,

511
00:27:25,000 --> 00:27:30,639
Speaker 1: it's like, who understands any of that? But it's didn't

512
00:27:30,680 --> 00:27:36,639
Speaker 1: they They said recently that because quantumputers exist, but like

513
00:27:36,760 --> 00:27:39,920
Speaker 1: only in like prototypes and all of that, but they

514
00:27:40,000 --> 00:27:44,000
Speaker 1: can solve problems in literally a minute or two that

515
00:27:44,080 --> 00:27:48,720
Speaker 1: would take you know, like thousands of years for our

516
00:27:48,840 --> 00:27:51,960
Speaker 1: best current computers. Maybe a've new time with that, but yeah,

517
00:27:52,880 --> 00:27:54,159
Speaker 1: who knows. Who knows.

518
00:27:54,480 --> 00:27:57,840
Speaker 2: The big hope for quantum computing is that they can

519
00:27:58,200 --> 00:28:01,919
Speaker 2: process models of things like how drugs will react in

520
00:28:01,920 --> 00:28:05,360
Speaker 2: the body and potentially be able to produce new drugs

521
00:28:05,680 --> 00:28:09,640
Speaker 2: where they can kind of keep anticipating what the particle

522
00:28:09,680 --> 00:28:13,560
Speaker 2: interactions would be, what the chemical interactions would be, and

523
00:28:13,680 --> 00:28:15,440
Speaker 2: what would take as you say, what would take normal

524
00:28:15,480 --> 00:28:18,800
Speaker 2: computers hundreds or thousands of years, they can do instantly.

525
00:28:19,040 --> 00:28:21,640
Speaker 2: It does do your head in and you've just got

526
00:28:21,640 --> 00:28:27,240
Speaker 2: to take it on faith. Reality. Yeah, I don't know,

527
00:28:27,480 --> 00:28:30,919
Speaker 2: it's pretty full on, but it's exciting. And look the

528
00:28:30,960 --> 00:28:34,400
Speaker 2: fact that I think in China they've beamed or they've

529
00:28:34,400 --> 00:28:38,280
Speaker 2: had quantum linked particles twelve hundred kilometers away. So this

530
00:28:38,320 --> 00:28:41,040
Speaker 2: one particle is on a satellite and one particle was

531
00:28:41,040 --> 00:28:44,200
Speaker 2: in the laboratory in China and they were able to

532
00:28:44,240 --> 00:28:47,440
Speaker 2: prove that they were quantum linked. And that's something this

533
00:28:47,520 --> 00:28:48,320
Speaker 2: distance so far.

534
00:28:48,960 --> 00:28:51,560
Speaker 1: Sorry, mate, I was going to say, I'm looking at

535
00:28:51,560 --> 00:28:53,480
Speaker 1: your list. I want to know how I can get

536
00:28:53,480 --> 00:28:56,640
Speaker 1: a green light every time. I want to know how

537
00:28:56,680 --> 00:28:59,520
Speaker 1: I can get a faster trip to mom and dads.

538
00:29:00,200 --> 00:29:03,280
Speaker 2: Isn't that interesting? Because this was on the drive website

539
00:29:03,280 --> 00:29:04,520
Speaker 2: and I was having a bit of a look at it.

540
00:29:04,560 --> 00:29:07,640
Speaker 2: And it's not overtly scientific when I mean, we're not

541
00:29:07,680 --> 00:29:11,240
Speaker 2: talking about, you know, any technology that you need, because

542
00:29:11,600 --> 00:29:15,200
Speaker 2: you know, it's so frustrating when you get that red light,

543
00:29:15,760 --> 00:29:18,760
Speaker 2: you get to the next intersection, another red light, and

544
00:29:19,120 --> 00:29:21,560
Speaker 2: sometimes you see people kind of you know, speeding up

545
00:29:21,720 --> 00:29:23,480
Speaker 2: or slowing down or whatever it happens to be. But

546
00:29:23,640 --> 00:29:25,560
Speaker 2: and this guy, Chris Miller, who's from the Department of

547
00:29:25,560 --> 00:29:28,240
Speaker 2: Transport in Victoria, he said, look, the best thing that

548
00:29:28,280 --> 00:29:31,520
Speaker 2: you can do. It's called a green wave and he said,

549
00:29:32,000 --> 00:29:35,320
Speaker 2: there's no way to make the light go green faster,

550
00:29:36,480 --> 00:29:39,960
Speaker 2: but if you're so, because the lights aren't in the

551
00:29:40,000 --> 00:29:42,280
Speaker 2: same sequence all the time, and what they tend to

552
00:29:42,320 --> 00:29:45,680
Speaker 2: do is they follow the flow of traffic. So if

553
00:29:45,760 --> 00:29:49,640
Speaker 2: you keep in the normal speed limits and everybody else

554
00:29:49,720 --> 00:29:53,600
Speaker 2: is doing the same thing, the lights will actually try

555
00:29:53,640 --> 00:29:56,920
Speaker 2: to anticipate what they call a green wave, because they're

556
00:29:56,960 --> 00:29:58,800
Speaker 2: a lot smarter than we give credit for. It's not

557
00:29:58,880 --> 00:30:00,720
Speaker 2: just a cycle where it's s it stays on for

558
00:30:00,800 --> 00:30:03,120
Speaker 2: one minute, changes, then the other light goes on for

559
00:30:03,120 --> 00:30:05,719
Speaker 2: another minute. It doesn't work that way. It looks at

560
00:30:05,760 --> 00:30:10,080
Speaker 2: flow of traffic. There's a lot more intelligence behind how

561
00:30:10,120 --> 00:30:13,920
Speaker 2: traffic lights work. So rather than speeding up, if you

562
00:30:14,200 --> 00:30:17,560
Speaker 2: just keep to the speed limit and you stay within

563
00:30:17,600 --> 00:30:20,200
Speaker 2: a group of cars, you're more likely to get what

564
00:30:20,280 --> 00:30:24,800
Speaker 2: he's calling the green wave just by doing the right thing,

565
00:30:25,240 --> 00:30:27,600
Speaker 2: going by the speed limit, and then you can catch

566
00:30:27,640 --> 00:30:31,360
Speaker 2: that green wave as you approach the intersection. The other

567
00:30:31,400 --> 00:30:34,160
Speaker 2: interesting thing is if you happen to be driving at

568
00:30:34,240 --> 00:30:36,640
Speaker 2: night and there are no cars around, and you just

569
00:30:36,760 --> 00:30:40,000
Speaker 2: go to the line and you wait, the light system

570
00:30:40,200 --> 00:30:42,880
Speaker 2: should detect that you're there, so you don't go over

571
00:30:42,880 --> 00:30:45,560
Speaker 2: the line. You just sit on the line itself and

572
00:30:45,600 --> 00:30:47,920
Speaker 2: it has detectors that should then say okay, now there

573
00:30:47,960 --> 00:30:50,200
Speaker 2: is a car here and no other cars, I'll switch

574
00:30:50,200 --> 00:30:52,560
Speaker 2: to green because I've noticed that at night that you

575
00:30:52,640 --> 00:30:54,560
Speaker 2: get to an intersection where it's read and it will

576
00:30:54,640 --> 00:30:58,520
Speaker 2: change quite quickly because you're the only car there. But

577
00:30:58,560 --> 00:31:00,440
Speaker 2: I just thought it was an interesting little lard that

578
00:31:01,240 --> 00:31:03,200
Speaker 2: was put out on drow. Drive's got some good stuff there.

579
00:31:03,240 --> 00:31:05,200
Speaker 2: They have some really interesting articles, and I just thought

580
00:31:05,200 --> 00:31:08,080
Speaker 2: it was worth a mention that, Yeah, so that the

581
00:31:08,160 --> 00:31:11,040
Speaker 2: secret is just follow the speed limit to get the

582
00:31:11,080 --> 00:31:11,720
Speaker 2: green light.

583
00:31:12,120 --> 00:31:15,000
Speaker 1: Go figure, that's the most boring story of it. No,

584
00:31:15,120 --> 00:31:19,240
Speaker 1: it's not really like but I will say no, it's

585
00:31:19,280 --> 00:31:22,680
Speaker 1: it makes sense though. But I tell you what people

586
00:31:22,720 --> 00:31:25,520
Speaker 1: don't think about a lot is if when you're on

587
00:31:25,560 --> 00:31:27,280
Speaker 1: a you wouldn't have thought of this. But when you're

588
00:31:27,320 --> 00:31:29,840
Speaker 1: on a scooter as in a little scooter, it doesn't

589
00:31:29,840 --> 00:31:34,920
Speaker 1: trigger the lights quite often, quite often. So if I

590
00:31:34,960 --> 00:31:36,960
Speaker 1: pull up in my car or even on one of

591
00:31:37,000 --> 00:31:41,000
Speaker 1: my big loud, heavy bikes, it will. It will you know,

592
00:31:41,040 --> 00:31:43,239
Speaker 1: when you get to an insection at nine o'clock at night,

593
00:31:43,400 --> 00:31:47,160
Speaker 1: no one's anywhere, and it changes quite quickly because it

594
00:31:47,280 --> 00:31:51,080
Speaker 1: anticipates you. I've pulled up to empty intersections on the scooter,

595
00:31:51,560 --> 00:31:54,680
Speaker 1: I can sit there for three or four minutes. It

596
00:31:54,720 --> 00:31:57,880
Speaker 1: only changes when another car comes and pulls up next

597
00:31:57,920 --> 00:31:58,120
Speaker 1: to me.

598
00:31:58,560 --> 00:32:03,440
Speaker 2: Can I admit something that I really shouldn't but I am.

599
00:32:03,800 --> 00:32:06,720
Speaker 2: When I was working at Fox and Triple M for

600
00:32:06,800 --> 00:32:10,760
Speaker 2: Ostereo and I was doing breakfast, I was breakfast news editor.

601
00:32:11,160 --> 00:32:13,680
Speaker 2: I used to ride my bike into work and I

602
00:32:13,720 --> 00:32:15,720
Speaker 2: was living in Paran at the time before I'd moved

603
00:32:15,760 --> 00:32:18,440
Speaker 2: to Brighton East, and I was riding my bike and

604
00:32:18,480 --> 00:32:20,280
Speaker 2: I had the same thing happened, and I would get

605
00:32:20,280 --> 00:32:22,680
Speaker 2: to an intersection and I'd try to do the right thing.

606
00:32:22,720 --> 00:32:24,760
Speaker 2: There were no cars because it was three point thirty

607
00:32:24,800 --> 00:32:29,200
Speaker 2: in the morning. I started just riding through the section,

608
00:32:29,360 --> 00:32:33,400
Speaker 2: but there was a speed camera and the light would flash,

609
00:32:33,520 --> 00:32:36,000
Speaker 2: and then every morning I'd start to wave to it

610
00:32:36,600 --> 00:32:39,280
Speaker 2: as I went fast. I thought, well, what are you

611
00:32:39,280 --> 00:32:41,640
Speaker 2: going to do. I'm not going to get a fine.

612
00:32:41,800 --> 00:32:44,960
Speaker 2: So I just because you're right being on a bicycle

613
00:32:45,000 --> 00:32:48,520
Speaker 2: even more so, it wouldn't trigger. And you sometimes waiting

614
00:32:48,600 --> 00:32:50,440
Speaker 2: ages and ages, and I thought, I'm going to get

615
00:32:50,440 --> 00:32:52,840
Speaker 2: to work and read the news. So yeah, I just

616
00:32:52,840 --> 00:32:54,720
Speaker 2: got to the point where I started waving to the

617
00:32:54,760 --> 00:32:56,480
Speaker 2: camera when it went off, because I knew it to

618
00:32:56,520 --> 00:32:59,600
Speaker 2: go every morning and what year and what intersection was.

619
00:33:00,320 --> 00:33:01,240
Speaker 2: I'm not going to tell you.

620
00:33:03,480 --> 00:33:06,960
Speaker 1: I was just going to help out the revenue raisers. Sorry,

621
00:33:06,960 --> 00:33:08,360
Speaker 1: what's your home address again?

622
00:33:09,440 --> 00:33:09,840
Speaker 2: Everyone?

623
00:33:09,920 --> 00:33:14,240
Speaker 1: That's that's Banillo with a capital B and el o.

624
00:33:14,760 --> 00:33:18,720
Speaker 2: Thank you. Yeah, yeah, well you just incriminated yourself. Look

625
00:33:18,800 --> 00:33:21,640
Speaker 2: up my website. Websites now all my details on me.

626
00:33:21,760 --> 00:33:26,200
Speaker 1: Yeah, yeah, yeah, yeah yeah. One of your stories caught

627
00:33:26,280 --> 00:33:31,680
Speaker 1: my attention. It says here scientists grow a backbone.

628
00:33:32,160 --> 00:33:36,320
Speaker 3: Yeah, that means either that means they got some courage

629
00:33:36,720 --> 00:33:41,600
Speaker 3: because they're gutless, or did they literally grow a spine

630
00:33:41,640 --> 00:33:42,160
Speaker 3: in a lab?

631
00:33:42,200 --> 00:33:45,080
Speaker 1: And if they did a spine for what creature?

632
00:33:45,960 --> 00:33:48,880
Speaker 2: Well this is all very early stuff, but they're talking

633
00:33:48,880 --> 00:33:50,760
Speaker 2: about the notch cord. Do you do you know that

634
00:33:50,800 --> 00:33:53,440
Speaker 2: part of the spine or what they're talking about. So

635
00:33:53,600 --> 00:33:56,560
Speaker 2: the human stem cells. See, the thing is, stem cells

636
00:33:56,640 --> 00:33:59,520
Speaker 2: are really unique cells. They normally happen I think at

637
00:33:59,520 --> 00:34:02,600
Speaker 2: the early stage the blasted syst you know, the cells

638
00:34:02,800 --> 00:34:05,640
Speaker 2: are not specialized at that point, So a stem cell

639
00:34:06,000 --> 00:34:09,600
Speaker 2: can be coaxed into becoming a heart cell, a lung cell,

640
00:34:09,640 --> 00:34:13,800
Speaker 2: a bone cell. So that's these spend these stem cells

641
00:34:14,080 --> 00:34:16,839
Speaker 2: if they can use them. And what they did was

642
00:34:16,880 --> 00:34:19,719
Speaker 2: they focused it on they can basically turn it into

643
00:34:19,719 --> 00:34:22,880
Speaker 2: any part of the body. And what they're now saying

644
00:34:22,960 --> 00:34:25,319
Speaker 2: is they can. They're hoping to use the stem cell

645
00:34:25,320 --> 00:34:27,400
Speaker 2: and they've done this. Now I don't know what animal

646
00:34:27,400 --> 00:34:30,560
Speaker 2: it was, I'm not even sure, but they basically were

647
00:34:30,600 --> 00:34:33,120
Speaker 2: able to look at I think it was a human

648
00:34:33,120 --> 00:34:34,640
Speaker 2: body now that I think of it, or a human

649
00:34:34,640 --> 00:34:37,319
Speaker 2: stem cell that was then turned into a vertebrae. And

650
00:34:37,360 --> 00:34:41,960
Speaker 2: they're saying that effectively, this little notch, the rod shaped

651
00:34:42,000 --> 00:34:44,640
Speaker 2: tissue in the part of the body that develops eventually

652
00:34:44,640 --> 00:34:49,239
Speaker 2: becomes the backbone, they were able to replicate and turn

653
00:34:49,280 --> 00:34:52,719
Speaker 2: it and get the cell to specialize to the point

654
00:34:52,760 --> 00:34:55,319
Speaker 2: where it became what would become a backbone cell, which

655
00:34:55,320 --> 00:34:59,040
Speaker 2: is amazing when you think about damage. You know, tissue

656
00:34:59,040 --> 00:35:01,080
Speaker 2: rejection is one of the biggest things that can be

657
00:35:01,120 --> 00:35:03,560
Speaker 2: a problem for transplants. You know, if you get a

658
00:35:03,560 --> 00:35:07,200
Speaker 2: heart transplant, then you know the problem is that tissuary

659
00:35:07,280 --> 00:35:09,160
Speaker 2: direction and all the chemicals and all the drugs you've

660
00:35:09,200 --> 00:35:11,279
Speaker 2: got to take for the rest of your life for

661
00:35:11,320 --> 00:35:13,200
Speaker 2: your body. Not to reject that, but if you have

662
00:35:13,520 --> 00:35:18,160
Speaker 2: a specialized stem cell that's your own, you'll be coaxed

663
00:35:18,200 --> 00:35:22,319
Speaker 2: into growing a new heart for Crego. Then potentially as

664
00:35:22,520 --> 00:35:24,800
Speaker 2: things wear out, that would be amazing, don't you reckon?

665
00:35:25,640 --> 00:35:31,480
Speaker 1: You're assuming I have a heart. But pursuant to this conversation, okay,

666
00:35:31,520 --> 00:35:36,360
Speaker 1: all right, fair enough. Pursuant to this conversation, you're on

667
00:35:36,560 --> 00:35:39,800
Speaker 1: a friend of mine, the lovely gorgeous Jan and O'Brien,

668
00:35:39,880 --> 00:35:42,000
Speaker 1: who I used to do radio with for years on

669
00:35:42,120 --> 00:35:49,279
Speaker 1: Melbourne's Positive Alternative Light FM. Jane had cystic fibrosis, which

670
00:35:49,320 --> 00:35:51,359
Speaker 1: you may or may not know about, which is very

671
00:35:52,920 --> 00:35:57,000
Speaker 1: I mean, it's it's you know, it's life ending at

672
00:35:57,000 --> 00:36:00,440
Speaker 1: its worst and definitely life shortening, and an other thing

673
00:36:00,480 --> 00:36:06,040
Speaker 1: which is potentially worse called bronchie extasis. And Jane was

674
00:36:06,680 --> 00:36:10,160
Speaker 1: very very very very very sick and was literally a

675
00:36:10,239 --> 00:36:12,560
Speaker 1: day or two from not being around, and she got

676
00:36:12,560 --> 00:36:16,839
Speaker 1: a double lung transplant. Now I'm trying to remember how

677
00:36:16,880 --> 00:36:19,319
Speaker 1: long ago. That was probably nine or ten months ago.

678
00:36:19,440 --> 00:36:21,680
Speaker 1: I could be wrong, but I've spoken to her a

679
00:36:21,719 --> 00:36:24,839
Speaker 1: few times since, and yeah, you're exactly right in that

680
00:36:25,640 --> 00:36:29,400
Speaker 1: you're trying to manage the you know the integration of

681
00:36:30,200 --> 00:36:34,080
Speaker 1: basically someone else's lungs into your body, and there are

682
00:36:34,080 --> 00:36:37,520
Speaker 1: lots of challenges around that. That's quite an interesting story.

683
00:36:37,560 --> 00:36:39,960
Speaker 1: I want to get her on. We could maybe do

684
00:36:40,360 --> 00:36:42,399
Speaker 1: a show The Three of Us, because you would love her.

685
00:36:42,480 --> 00:36:47,760
Speaker 1: She's amazing, tough as strongest, most positive person of all time.

686
00:36:48,400 --> 00:36:52,799
Speaker 1: But yeah, you're right for most people. I think the

687
00:36:52,960 --> 00:36:57,040
Speaker 1: first heart transplant recipient, either in the world or in

688
00:36:57,080 --> 00:37:01,000
Speaker 1: Australia definitely was a lady called Fiona Kut who were

689
00:37:01,440 --> 00:37:04,120
Speaker 1: fourteen years old. And I feel like that was either

690
00:37:04,160 --> 00:37:08,279
Speaker 1: in the mid late seventies or early eighties, but I.

691
00:37:08,200 --> 00:37:09,120
Speaker 2: Fee last ties.

692
00:37:09,360 --> 00:37:15,080
Speaker 1: Yeah, eighties, yeah, yeah, But do you remember like the

693
00:37:15,200 --> 00:37:19,040
Speaker 1: day imagine a couple of hundred years ago thinking oh well,

694
00:37:19,160 --> 00:37:22,040
Speaker 1: if you know, old mate's heart died, we get another

695
00:37:22,080 --> 00:37:24,880
Speaker 1: heart and put it in there and that works.

696
00:37:25,120 --> 00:37:28,919
Speaker 2: I mean, it's the stuff that and that was decades ago.

697
00:37:29,040 --> 00:37:31,760
Speaker 2: Now when what was that? It was nine and eighty

698
00:37:31,760 --> 00:37:35,160
Speaker 2: four and it was the Victor Chang. Remember doctor Victor Chang.

699
00:37:35,280 --> 00:37:37,200
Speaker 1: I remember there's a hospital named after it.

700
00:37:37,200 --> 00:37:41,279
Speaker 2: It is. Yeah, so yeah, age of fourteen April the eighth,

701
00:37:41,400 --> 00:37:43,439
Speaker 2: nine and eighty four. I remember that I was still

702
00:37:43,480 --> 00:37:47,520
Speaker 2: in school myself. Gosh, but it's fascinating to think that

703
00:37:47,520 --> 00:37:50,879
Speaker 2: that could be a reality for us. They'd be able

704
00:37:50,920 --> 00:37:54,600
Speaker 2: to specialize to take these specialized cells and regrow them.

705
00:37:55,600 --> 00:37:58,799
Speaker 2: That and that, you know, tailoring, whether it's drugs where

706
00:37:58,840 --> 00:38:02,799
Speaker 2: we use our own you know, DNA that matches with us,

707
00:38:02,840 --> 00:38:05,879
Speaker 2: because if I take certain headache tablets, they may work

708
00:38:05,920 --> 00:38:07,880
Speaker 2: on me but not work on you. Certain drugs that

709
00:38:07,920 --> 00:38:12,080
Speaker 2: are off the shelf can can sometimes be effective for

710
00:38:12,160 --> 00:38:16,399
Speaker 2: some people and not for others. And so when we

711
00:38:17,000 --> 00:38:20,239
Speaker 2: talk about custom drugs and tailor made drugs, my only

712
00:38:20,239 --> 00:38:22,200
Speaker 2: concern about all of that is is it going to

713
00:38:22,200 --> 00:38:24,279
Speaker 2: be available to everybody or is it just going to

714
00:38:24,280 --> 00:38:25,920
Speaker 2: be available to people who can afford it.

715
00:38:26,680 --> 00:38:33,240
Speaker 1: Well, it's a really interesting conversation. So doctor Denise Faness

716
00:38:33,000 --> 00:38:36,960
Speaker 1: is she is a geneticist, and doctor Bill Sullivan who

717
00:38:37,120 --> 00:38:40,880
Speaker 1: also is firmly in that space. We have both of

718
00:38:40,880 --> 00:38:44,200
Speaker 1: them on regularly, and Denise does this it's called personalized

719
00:38:44,239 --> 00:38:48,319
Speaker 1: medicine where and you're exactly right, mate. So it's like

720
00:38:48,880 --> 00:38:51,600
Speaker 1: how come Patrick can eat a handful of almonds and

721
00:38:51,640 --> 00:38:53,520
Speaker 1: he loves them and they taste good and someone else

722
00:38:53,560 --> 00:38:55,759
Speaker 1: has one armond and they have a terrible reaction and

723
00:38:55,840 --> 00:39:00,200
Speaker 1: a phylactic reaction and so on or I. I don't

724
00:39:00,200 --> 00:39:02,719
Speaker 1: know if I've ever told you this, but so my

725
00:39:02,760 --> 00:39:05,480
Speaker 1: friend John, who had the terrible accident that you know.

726
00:39:05,480 --> 00:39:06,640
Speaker 2: About, I've met John.

727
00:39:06,719 --> 00:39:10,320
Speaker 1: Yeah, So he's a great guy and now he lives

728
00:39:10,320 --> 00:39:13,719
Speaker 1: with constant pain. And one of the many drugs that

729
00:39:13,719 --> 00:39:15,719
Speaker 1: he's had to take over the years is Lyrica. I

730
00:39:15,760 --> 00:39:18,640
Speaker 1: don't think I'm giving away any secrets here. Lyrica, which

731
00:39:18,680 --> 00:39:22,040
Speaker 1: is a very strong drug for neural pain or nerve pain.

732
00:39:22,920 --> 00:39:25,359
Speaker 1: Now John can have four of those in a day,

733
00:39:25,480 --> 00:39:30,080
Speaker 1: no problem, four seventy five milligrams, which is three hundred milligrams,

734
00:39:30,200 --> 00:39:34,239
Speaker 1: or even five or six. When my back was fucked once,

735
00:39:34,360 --> 00:39:36,279
Speaker 1: like badly, I couldn't get out of a chair. I

736
00:39:36,280 --> 00:39:40,720
Speaker 1: couldn't like I was in for me extreme pain. Getting

737
00:39:40,760 --> 00:39:43,240
Speaker 1: in and out of bed took fifteen minutes. It was agony.

738
00:39:43,640 --> 00:39:48,080
Speaker 1: I took one Lyrica one seventy five milligrams and I hallucinated.

739
00:39:48,560 --> 00:39:52,520
Speaker 1: I was off my head and he could take four

740
00:39:52,560 --> 00:39:56,960
Speaker 1: and barely notice it. So yeah, trying to I think

741
00:39:56,960 --> 00:40:03,120
Speaker 1: we're going to see not only personalized medicine, but personalized nutrition,

742
00:40:03,360 --> 00:40:08,200
Speaker 1: personalized exercise programming, personalized believe it or not, sleep prescription.

743
00:40:10,160 --> 00:40:15,399
Speaker 1: And there's a guy, Oh, it'll come to me. I'm

744
00:40:15,440 --> 00:40:19,800
Speaker 1: just blanking on his name, but doctor Cam. What's his surname?

745
00:40:20,880 --> 00:40:23,799
Speaker 1: I know too many Cams. But anyway, as an organization

746
00:40:23,920 --> 00:40:27,400
Speaker 1: called pH three sixty, and they look at people's different

747
00:40:27,520 --> 00:40:32,799
Speaker 1: genetic disposition to ascertain what is the best everything for

748
00:40:32,880 --> 00:40:37,560
Speaker 1: that person based on their genetic makeup. And this is

749
00:40:37,600 --> 00:40:41,280
Speaker 1: going to become more and more a thing where where

750
00:40:41,400 --> 00:40:47,520
Speaker 1: Patrick gets prescribed medicine and food and supplements based on

751
00:40:47,640 --> 00:40:52,160
Speaker 1: his DNA. Yeah, and this is this is already happening.

752
00:40:52,880 --> 00:40:57,480
Speaker 1: And so that's what Denise does. Doctor Denise, she takes blood, hair,

753
00:40:58,000 --> 00:41:01,280
Speaker 1: lots of different things depending on the individual and the need,

754
00:41:01,840 --> 00:41:06,840
Speaker 1: and then they are prescribed something specific to their DNA

755
00:41:07,040 --> 00:41:11,719
Speaker 1: and in fact so effective as this a friend of mine,

756
00:41:11,760 --> 00:41:13,480
Speaker 1: I won't say a full name because I don't I

757
00:41:13,480 --> 00:41:16,520
Speaker 1: think she's she's okay with it. But Daniel, she had

758
00:41:17,680 --> 00:41:21,120
Speaker 1: or has a young boy with autism who was really

759
00:41:21,239 --> 00:41:25,680
Speaker 1: have like a lot of challenges and doctor Denise changed

760
00:41:25,719 --> 00:41:30,960
Speaker 1: his diet based on his DNA and he had profound

761
00:41:31,200 --> 00:41:35,600
Speaker 1: and drastic improvements in months where he essentially went from

762
00:41:35,640 --> 00:41:39,760
Speaker 1: being nonverbal to verbal. I think he was about seven

763
00:41:39,920 --> 00:41:44,520
Speaker 1: at the time. Amazing. So yeah, this is definitely the

764
00:41:44,560 --> 00:41:50,680
Speaker 1: way forward is because you know, everybody's body responds differently

765
00:41:51,360 --> 00:41:53,719
Speaker 1: to the same stimulus, so we're trying to find what

766
00:41:53,840 --> 00:41:58,920
Speaker 1: is the right interventional protocol or stimulus for Patrick, not

767
00:41:59,120 --> 00:42:02,480
Speaker 1: for the general pop population, and that that's evolving.

768
00:42:03,000 --> 00:42:05,440
Speaker 2: And that's a good thing too when it comes to

769
00:42:05,880 --> 00:42:09,880
Speaker 2: not taking drugs if you can reduce the instances. I

770
00:42:09,960 --> 00:42:12,600
Speaker 2: love this story, as you know, I practice and I

771
00:42:12,719 --> 00:42:17,600
Speaker 2: teach tai chi, and the philosophy behind somebody who was

772
00:42:17,680 --> 00:42:21,240
Speaker 2: the healer or the medical person in a village in China,

773
00:42:21,640 --> 00:42:23,920
Speaker 2: you know, three hundred, four hundred, five hundred years ago,

774
00:42:24,280 --> 00:42:27,640
Speaker 2: was that the person who looked after your health got

775
00:42:27,680 --> 00:42:31,400
Speaker 2: paid when you were healthy, but when you start being healthy,

776
00:42:31,440 --> 00:42:34,480
Speaker 2: they stopped getting paid because their job is healthy.

777
00:42:35,280 --> 00:42:35,480
Speaker 1: Yeah.

778
00:42:35,520 --> 00:42:37,480
Speaker 2: I love that idea, and I don't know how true

779
00:42:37,520 --> 00:42:40,600
Speaker 2: it is, but I love the thought behind that that

780
00:42:40,640 --> 00:42:42,640
Speaker 2: I'm being paid to keep you healthy, a bit like

781
00:42:42,680 --> 00:42:45,120
Speaker 2: having your own PT and all that sort of stuff,

782
00:42:45,280 --> 00:42:48,640
Speaker 2: but that preventative maintenance, that philosophy of keeping you healthy

783
00:42:49,040 --> 00:42:53,200
Speaker 2: not fixing what you know, what's already happened. I think

784
00:42:53,200 --> 00:42:55,480
Speaker 2: that's something that you know, a practice that we can

785
00:42:55,520 --> 00:42:57,759
Speaker 2: all do and it's not that hard. And I guess

786
00:42:57,760 --> 00:43:00,840
Speaker 2: it's the decisions that we make every day because whether

787
00:43:00,920 --> 00:43:04,000
Speaker 2: you have the two spoons of sugar in your coffee

788
00:43:04,120 --> 00:43:07,640
Speaker 2: or whatever that happens to be. But the reality, for

789
00:43:07,719 --> 00:43:11,600
Speaker 2: result is that processed foods are rampant. You know, it's

790
00:43:11,640 --> 00:43:15,080
Speaker 2: easy to eat processed foods, not as easy to kind

791
00:43:15,120 --> 00:43:17,160
Speaker 2: of take things from scratch and make them from scratch.

792
00:43:17,200 --> 00:43:20,000
Speaker 2: But it's so much better for you and we know that.

793
00:43:20,960 --> 00:43:23,640
Speaker 2: But but you know, you do. You delve into this

794
00:43:23,719 --> 00:43:26,719
Speaker 2: all the time. What motivates people, It's been part of

795
00:43:26,760 --> 00:43:30,120
Speaker 2: your psyche and what you've done your whole career, whether

796
00:43:30,160 --> 00:43:32,560
Speaker 2: you're being a trainer or whether you're looking at what

797
00:43:32,760 --> 00:43:35,520
Speaker 2: you know, how people perceive life, the universe and everything

798
00:43:35,560 --> 00:43:36,080
Speaker 2: around them.

799
00:43:36,880 --> 00:43:39,759
Speaker 1: Yeah, I think you're exactly right. And for me, it's

800
00:43:39,800 --> 00:43:43,319
Speaker 1: really and this is not to throw heat at our

801
00:43:43,360 --> 00:43:47,680
Speaker 1: current system, but like all systems, it's imperfect, and it's

802
00:43:47,719 --> 00:43:52,520
Speaker 1: really it's more reactive than proactive, and it's more of

803
00:43:52,560 --> 00:43:57,080
Speaker 1: a system, a sickness management system than it is a

804
00:43:57,200 --> 00:44:01,680
Speaker 1: healthcare So like I realized early that I didn't have

805
00:44:02,640 --> 00:44:06,720
Speaker 1: great genetics. You know my you know, mums had cancer

806
00:44:06,719 --> 00:44:10,160
Speaker 1: three times, dads have multiple heart attacks, Mum had a

807
00:44:10,160 --> 00:44:13,200
Speaker 1: minor you know, it's it's but they're still around, which

808
00:44:13,239 --> 00:44:17,800
Speaker 1: is great. But I kind of realized on a couple

809
00:44:17,800 --> 00:44:20,920
Speaker 1: of fronts if I didn't optimize what I've got, like

810
00:44:21,040 --> 00:44:25,279
Speaker 1: with food, with exercise, with lifestyle, with sleep, with the

811
00:44:25,360 --> 00:44:28,719
Speaker 1: decisions that I make because I have a real propensity

812
00:44:28,760 --> 00:44:32,360
Speaker 1: to go in fat. I genetically have high blood pressure,

813
00:44:32,440 --> 00:44:35,800
Speaker 1: thanks Mum and Dad. Even though I don't have salt,

814
00:44:35,880 --> 00:44:38,200
Speaker 1: even though I'm lean, even though I work out all

815
00:44:38,200 --> 00:44:41,120
Speaker 1: the time, never smoked, never drunk, don't eat ship food,

816
00:44:41,320 --> 00:44:44,480
Speaker 1: Still high blood pressure, right, that's genetic. And so for me,

817
00:44:45,520 --> 00:44:49,400
Speaker 1: I've very I've very much been always aware of and

818
00:44:49,520 --> 00:44:53,560
Speaker 1: grateful for the fact that I have a body. I

819
00:44:53,600 --> 00:44:57,520
Speaker 1: know that sounds silly, but always this kind of you

820
00:44:57,520 --> 00:44:59,280
Speaker 1: can get a lot of other things, but you can't

821
00:44:59,280 --> 00:45:02,520
Speaker 1: get another body. And I don't know where that came from,

822
00:45:03,000 --> 00:45:08,239
Speaker 1: but I'm just like, it's it's so important to me

823
00:45:08,840 --> 00:45:11,279
Speaker 1: that I look that I need to look after this

824
00:45:11,360 --> 00:45:16,160
Speaker 1: thing that I can't replace. And so I've been proactive

825
00:45:16,239 --> 00:45:18,839
Speaker 1: my whole life where I go. Look, if I open

826
00:45:18,920 --> 00:45:21,960
Speaker 1: the smoking door, because Mum and Dad were smokers for years,

827
00:45:22,000 --> 00:45:25,160
Speaker 1: I go, I'll probably be addicted by Tuesday. If I

828
00:45:25,200 --> 00:45:29,239
Speaker 1: open the booze door, I'll probably drink booze for Australia competitively, right.

829
00:45:29,360 --> 00:45:32,560
Speaker 1: So I just need because I'm a little bit like that.

830
00:45:32,719 --> 00:45:36,400
Speaker 1: As you know, I'm pretty all or nothing. And so

831
00:45:37,400 --> 00:45:41,000
Speaker 1: if I could apply that level of you know, discipline

832
00:45:41,080 --> 00:45:45,759
Speaker 1: and self control and you know, hopefully intelligence to way

833
00:45:45,960 --> 00:45:47,759
Speaker 1: to the way that I live and the things that

834
00:45:47,800 --> 00:45:50,880
Speaker 1: I do to my body, and it's just I also

835
00:45:51,000 --> 00:45:56,560
Speaker 1: think because it's so easy patrick to get to have

836
00:45:56,760 --> 00:46:00,680
Speaker 1: access to unhealthy but tasty food, you know, and that's

837
00:46:00,719 --> 00:46:05,200
Speaker 1: the you know, fast food, high salt, high fat, high sugar,

838
00:46:06,200 --> 00:46:10,200
Speaker 1: and some people would say high pleasure understandably. But the

839
00:46:10,239 --> 00:46:13,480
Speaker 1: problem with all of that is it's addictive, you know,

840
00:46:13,640 --> 00:46:16,239
Speaker 1: because you're switching on all of these things in your

841
00:46:16,239 --> 00:46:19,240
Speaker 1: brain that make you want more and then bibbity bobbedy

842
00:46:19,239 --> 00:46:21,360
Speaker 1: boo five years down the track, now you're not in

843
00:46:21,400 --> 00:46:25,680
Speaker 1: a great place. So and the problem or the challenge

844
00:46:26,960 --> 00:46:29,040
Speaker 1: is that a lot of those addictive things give you

845
00:46:29,080 --> 00:46:33,759
Speaker 1: instant gratification, obviously, But the flip side of that is, well,

846
00:46:33,760 --> 00:46:36,920
Speaker 1: if I don't have whatever it is, I don't have

847
00:46:37,000 --> 00:46:40,480
Speaker 1: instant weight loss or instant health or instant muscle or

848
00:46:40,520 --> 00:46:43,880
Speaker 1: instant lower blood pressure or and so there's this to

849
00:46:45,000 --> 00:46:46,960
Speaker 1: and fro for a lot of people where they know

850
00:46:47,040 --> 00:46:50,800
Speaker 1: what to do, but they're always about to start next Monday.

851
00:46:51,280 --> 00:46:53,719
Speaker 2: Look at what I've got some new neighbors that moved in,

852
00:46:53,800 --> 00:46:57,080
Speaker 2: and there's such lovely people. They fostered two kids and

853
00:46:57,080 --> 00:46:59,600
Speaker 2: then they had four of their own, so they've got

854
00:46:59,640 --> 00:47:01,880
Speaker 2: four young girls under the age of twelve.

855
00:47:02,440 --> 00:47:05,640
Speaker 1: And wow, wow, what amazing people.

856
00:47:05,719 --> 00:47:09,520
Speaker 2: They are phenomenal people. And I had them over for

857
00:47:09,560 --> 00:47:11,640
Speaker 2: a movie night and dinner the other day and I

858
00:47:11,760 --> 00:47:16,400
Speaker 2: just made this a vegan bolin aise but lots of veggies,

859
00:47:16,440 --> 00:47:19,320
Speaker 2: and you know, it was really good food. And we

860
00:47:19,640 --> 00:47:21,520
Speaker 2: had a meal and then we sat down. When I

861
00:47:21,560 --> 00:47:23,839
Speaker 2: say we sat down, the adults sat down, the kids

862
00:47:23,840 --> 00:47:27,560
Speaker 2: were jumping around like beans. It was great. But you

863
00:47:27,600 --> 00:47:29,680
Speaker 2: know the commitment that parents make, and I just thought

864
00:47:29,719 --> 00:47:32,440
Speaker 2: to myself, how hard have I worked to make all

865
00:47:32,480 --> 00:47:36,480
Speaker 2: this food for eight of us? And they do that

866
00:47:36,680 --> 00:47:39,400
Speaker 2: every single day. I've got so much respect for people

867
00:47:39,440 --> 00:47:43,000
Speaker 2: who who do that? Who have you know, multiple child? Well,

868
00:47:43,000 --> 00:47:45,600
Speaker 2: even one child is hard enough, but let alone, you know,

869
00:47:45,640 --> 00:47:48,080
Speaker 2: having all those kids under the age of twelve. And

870
00:47:48,200 --> 00:47:50,680
Speaker 2: I just think there's such an amazing and beautiful commitment

871
00:47:50,719 --> 00:47:53,680
Speaker 2: that people make to giving their kids so much, and

872
00:47:53,719 --> 00:47:56,839
Speaker 2: they often you know, go without so their kids will

873
00:47:56,920 --> 00:48:01,359
Speaker 2: have And that just blows me away that people do that.

874
00:48:01,440 --> 00:48:04,440
Speaker 2: It was It's great to see and just a dedication.

875
00:48:04,600 --> 00:48:07,120
Speaker 2: Just it's awesome, isn't it.

876
00:48:07,760 --> 00:48:11,239
Speaker 1: Ah? And you and I don't sorry, we don't have

877
00:48:11,280 --> 00:48:13,320
Speaker 1: to deal not deal with We don't have the pleasure

878
00:48:13,360 --> 00:48:15,600
Speaker 1: of that, right. That's why it's so easy to be

879
00:48:15,719 --> 00:48:18,600
Speaker 1: selfish when you're just a single dude.

880
00:48:18,840 --> 00:48:24,520
Speaker 2: Or do that, I guess do that, Oh dear.

881
00:48:24,520 --> 00:48:27,360
Speaker 1: I'm allowed to say that. Hey, one more story and

882
00:48:27,400 --> 00:48:30,480
Speaker 1: then let's wind up. You just scroll through your little

883
00:48:30,480 --> 00:48:32,120
Speaker 1: list and tell us what you want to share.

884
00:48:32,600 --> 00:48:37,440
Speaker 2: Well, haptics, I'm going to talk VR again because it

885
00:48:37,560 --> 00:48:40,120
Speaker 2: is a really passionate thing for me, and not for

886
00:48:40,200 --> 00:48:42,480
Speaker 2: that just that reason, because I love gaming and I

887
00:48:42,520 --> 00:48:45,400
Speaker 2: love virtual travel and hanging out with my friends online.

888
00:48:45,400 --> 00:48:48,080
Speaker 2: And I know I've told this story before about a

889
00:48:48,080 --> 00:48:51,440
Speaker 2: friend of mine who passed away from murdering your own disease,

890
00:48:52,000 --> 00:48:54,719
Speaker 2: and I got my headset and took it around to

891
00:48:54,760 --> 00:48:59,320
Speaker 2: his place. He's an artist. He painted some most amazing, iconic,

892
00:48:59,760 --> 00:49:03,720
Speaker 2: just beautiful paintings God in the name of I won't

893
00:49:03,719 --> 00:49:07,040
Speaker 2: say his name, but anyway, but his paintings were very profound,

894
00:49:07,040 --> 00:49:09,799
Speaker 2: and some of them were painted over twelve months. And

895
00:49:10,120 --> 00:49:13,479
Speaker 2: one of his last paintings was of Notre Dame when

896
00:49:13,520 --> 00:49:16,640
Speaker 2: the fire went through, and he uses a lot of

897
00:49:16,680 --> 00:49:21,640
Speaker 2: religious iconography in there as well. And I was able

898
00:49:21,719 --> 00:49:24,880
Speaker 2: to put on a headset and give him a virtual

899
00:49:24,920 --> 00:49:29,200
Speaker 2: tour of Notre Dame after the fire and while they

900
00:49:29,200 --> 00:49:32,440
Speaker 2: were doing the rebuild, and it was a guided tour

901
00:49:32,520 --> 00:49:34,960
Speaker 2: by one of the priests that was part of that

902
00:49:35,040 --> 00:49:38,360
Speaker 2: whole process of rebuilding. And as you where, you probably

903
00:49:38,360 --> 00:49:41,000
Speaker 2: saw in the news that they've now reopened Notre Dame

904
00:49:41,040 --> 00:49:43,840
Speaker 2: and it's looking like it's been restored to its great splendor.

905
00:49:44,320 --> 00:49:47,680
Speaker 2: But one of the next steps and stages of VR

906
00:49:47,760 --> 00:49:51,120
Speaker 2: interaction is going to be haptics. And I saw some

907
00:49:51,239 --> 00:49:54,240
Speaker 2: haptic and what I mean by haptics is haptics where

908
00:49:54,719 --> 00:49:57,960
Speaker 2: you have a controller and if you touch something, it

909
00:49:58,080 --> 00:50:00,760
Speaker 2: vibrates and the body kind of gets full into thinking

910
00:50:01,080 --> 00:50:04,640
Speaker 2: that it's interacting in the virtual world while you're there.

911
00:50:05,000 --> 00:50:09,239
Speaker 2: But now they're developing kind of haptic sleeves that use

912
00:50:09,360 --> 00:50:12,480
Speaker 2: air pressure, so you don't just get a vibration like

913
00:50:12,520 --> 00:50:15,120
Speaker 2: your phone when it vibrates, but it feels like touch

914
00:50:15,560 --> 00:50:18,359
Speaker 2: and it can be touched that's pressure sensitive as well,

915
00:50:18,480 --> 00:50:21,000
Speaker 2: So if it's something where it's a prolonged touch, it

916
00:50:21,040 --> 00:50:23,600
Speaker 2: will grab for a prolonged period. So rather than you know,

917
00:50:23,640 --> 00:50:27,600
Speaker 2: when your phone vibrates in your pocket and you get

918
00:50:27,600 --> 00:50:29,920
Speaker 2: a sense that there's a message coming through, whereas this

919
00:50:30,000 --> 00:50:32,360
Speaker 2: will apply pressure. So there's a lot of hope now

920
00:50:32,760 --> 00:50:37,080
Speaker 2: that the tech behind this using air so using pneumatics

921
00:50:37,480 --> 00:50:41,279
Speaker 2: rather than little tiny servo motors will mean that it

922
00:50:41,360 --> 00:50:44,960
Speaker 2: takes up less power, it'll be more effective, and then

923
00:50:45,000 --> 00:50:47,680
Speaker 2: you will get a much more sensitive feel. So if

924
00:50:47,680 --> 00:50:50,640
Speaker 2: I reached out and grabbed your hand to shake your

925
00:50:50,640 --> 00:50:54,439
Speaker 2: hand in a VR environment, potentially the haptic glove would

926
00:50:54,480 --> 00:50:57,160
Speaker 2: start to pressurize around your hand and you would really

927
00:50:57,200 --> 00:50:59,600
Speaker 2: feel like I'm gripping your hand. And if I applied

928
00:50:59,640 --> 00:51:02,520
Speaker 2: more press it would be able to apply more pressure

929
00:51:02,880 --> 00:51:06,040
Speaker 2: using this robotic sleeve and these little air pockets to

930
00:51:06,160 --> 00:51:10,360
Speaker 2: grip your hand, and it would make that whole environment,

931
00:51:10,400 --> 00:51:13,440
Speaker 2: that whole interaction so dynamic, wouldn't it.

932
00:51:14,080 --> 00:51:17,719
Speaker 1: Yeah, that's yeah, And I guess I mean part of

933
00:51:17,760 --> 00:51:20,160
Speaker 1: me is like just fucking give someone a normal hug.

934
00:51:20,360 --> 00:51:23,120
Speaker 1: I get that. But also at the same time, potentially

935
00:51:25,000 --> 00:51:31,319
Speaker 1: I was thinking, just quickly, somebody, somebody that I know

936
00:51:31,600 --> 00:51:35,280
Speaker 1: is struggling at the minute with you know, loneliness and stuff,

937
00:51:35,280 --> 00:51:38,960
Speaker 1: and I was thinking for people who are lonely, you know,

938
00:51:39,040 --> 00:51:42,799
Speaker 1: who perhaps are isolated for like either just geographically isolated,

939
00:51:42,920 --> 00:51:48,120
Speaker 1: or they have agoraphobia or agrophobia, you know, and for

940
00:51:48,200 --> 00:51:51,640
Speaker 1: whatever reason. Yeah, like that, because like you said, your

941
00:51:51,640 --> 00:51:54,080
Speaker 1: body can get fooled. It's like when we have a

942
00:51:54,160 --> 00:51:57,760
Speaker 1: dream that isn't it is like like we're actually dreaming,

943
00:51:57,760 --> 00:51:59,759
Speaker 1: but the events of the dream are not real, but

944
00:51:59,840 --> 00:52:02,480
Speaker 1: to us in the moment, they're real. And so the experience,

945
00:52:02,520 --> 00:52:05,719
Speaker 1: to our nervous system, to our brain, to our everything

946
00:52:05,920 --> 00:52:09,760
Speaker 1: is though it was happening. And I think that's that

947
00:52:09,760 --> 00:52:12,799
Speaker 1: that VR and all of the kind of the offshoots

948
00:52:12,800 --> 00:52:16,880
Speaker 1: of VR and all this haptic kind of potential, you know,

949
00:52:16,920 --> 00:52:20,520
Speaker 1: that opens another door to another kind of experience that

950
00:52:20,600 --> 00:52:24,000
Speaker 1: I think in you know, just like we're seeing surgeons

951
00:52:24,000 --> 00:52:31,799
Speaker 1: do operations remotely from different states using robotic you know tools. Yeah,

952
00:52:31,840 --> 00:52:34,319
Speaker 1: it's fucking amazing, mate. I love all that. I love

953
00:52:34,320 --> 00:52:34,680
Speaker 1: all that.

954
00:52:34,760 --> 00:52:37,160
Speaker 2: It's great. It opens up a bright future. And you know,

955
00:52:37,200 --> 00:52:39,759
Speaker 2: we do talk about all the negatives, sometimes not all

956
00:52:39,760 --> 00:52:42,120
Speaker 2: the negatives, but the fact that there's hacking going on,

957
00:52:42,239 --> 00:52:46,279
Speaker 2: and there's a cyber war underway as we speak, with

958
00:52:46,800 --> 00:52:50,480
Speaker 2: government funded you know, there's a I read an article

959
00:52:50,480 --> 00:52:53,200
Speaker 2: a few years ago that said there it's believed that

960
00:52:53,239 --> 00:52:58,520
Speaker 2: they are up to a million state sanctioned hackers in China.

961
00:52:58,960 --> 00:53:03,160
Speaker 2: That blows your mind, isn't that? And it's a pretty

962
00:53:03,200 --> 00:53:06,240
Speaker 2: wild thought. But I think that sometimes we can focus

963
00:53:06,239 --> 00:53:08,799
Speaker 2: on the negative side of it. But it's great to

964
00:53:08,880 --> 00:53:11,439
Speaker 2: know that there's a lot of really exciting positive things

965
00:53:11,480 --> 00:53:14,720
Speaker 2: coming up. And I just envisaged that someone who's elderly,

966
00:53:14,800 --> 00:53:17,360
Speaker 2: or someone who's infirm, or someone who's had you know,

967
00:53:17,400 --> 00:53:19,879
Speaker 2: who's crippled in some way and not able to leave

968
00:53:19,920 --> 00:53:22,440
Speaker 2: their bed, for them to be able to use VR

969
00:53:22,560 --> 00:53:29,520
Speaker 2: to escape what could be a prolonged and condition like murder,

970
00:53:29,640 --> 00:53:33,920
Speaker 2: your own disease that robs you of everything, to be

971
00:53:34,000 --> 00:53:36,759
Speaker 2: able to then take them and transport them somewhere else

972
00:53:36,800 --> 00:53:38,879
Speaker 2: and give them an ability to be able to still

973
00:53:39,000 --> 00:53:41,960
Speaker 2: enjoy life and have quality of life. I think that

974
00:53:42,000 --> 00:53:44,279
Speaker 2: will mean a lot for people as they age and

975
00:53:44,560 --> 00:53:47,239
Speaker 2: as you know the rigors of getting old, or even

976
00:53:47,320 --> 00:53:49,319
Speaker 2: just getting on a plane for us in Australia and

977
00:53:49,320 --> 00:53:52,440
Speaker 2: flying to Europe and visiting Notre Dame. For a lot

978
00:53:52,440 --> 00:53:54,799
Speaker 2: of our listeners who are getting on that a may

979
00:53:54,840 --> 00:53:57,600
Speaker 2: be cost prohibitive, but it also could be physically prohibitive

980
00:53:57,640 --> 00:53:59,600
Speaker 2: because they might have a bad back and couldn't sit

981
00:53:59,680 --> 00:54:00,640
Speaker 2: on a plane for that long.

982
00:54:01,480 --> 00:54:05,720
Speaker 1: Correct, correct, mate, How can people connect with you, old

983
00:54:06,040 --> 00:54:06,640
Speaker 1: old mate?

984
00:54:07,360 --> 00:54:11,239
Speaker 2: Websites noow dot com dot au is the website and

985
00:54:11,480 --> 00:54:15,640
Speaker 2: we do all sorts of stuff, marketing and branding, social media.

986
00:54:15,719 --> 00:54:18,080
Speaker 2: I don't do the social media, but I'm bloody hopeless

987
00:54:18,080 --> 00:54:20,720
Speaker 2: with social media. I don't think I've done my LinkedIn

988
00:54:20,760 --> 00:54:24,040
Speaker 2: profile for about eight years. My colleague keeps telling me off,

989
00:54:24,320 --> 00:54:26,359
Speaker 2: you really should be updating this. You know, you get

990
00:54:26,400 --> 00:54:30,520
Speaker 2: onto the podcast and your LinkedIn is really old. But yeah,

991
00:54:30,560 --> 00:54:33,160
Speaker 2: websites now dot com TODAYU is the just a bit

992
00:54:33,200 --> 00:54:34,880
Speaker 2: about what we do and all that sort of stuff.

993
00:54:34,920 --> 00:54:37,200
Speaker 2: And he's walked away Can I just say that?

994
00:54:37,360 --> 00:54:39,040
Speaker 1: No, no, no, no no.

995
00:54:39,040 --> 00:54:42,000
Speaker 2: Wait I'm talking and he walked. I can see you.

996
00:54:42,400 --> 00:54:44,720
Speaker 1: It's Can I just tell you that a bird flew

997
00:54:44,760 --> 00:54:45,840
Speaker 1: against my window?

998
00:54:46,200 --> 00:54:47,080
Speaker 2: No? What?

999
00:54:47,320 --> 00:54:49,680
Speaker 1: And I want to go and see that he's all right.

1000
00:54:49,800 --> 00:54:51,960
Speaker 1: I feel like the little fuck has got concussion.

1001
00:54:52,400 --> 00:54:54,320
Speaker 2: Well, okay, go out there and rescue your bird.

1002
00:54:55,000 --> 00:54:57,719
Speaker 1: Well, hey mate, it's been great. Thank you so much.

1003
00:54:57,760 --> 00:55:00,960
Speaker 1: I wasn't being rude. I probably I was. I was

1004
00:55:01,000 --> 00:55:04,720
Speaker 1: concerned about you and the bird. Thank you all right, mate,

1005
00:55:05,080 --> 00:55:05,440
Speaker 1: thank you