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Speaker 1: A good A team good Patrick, gooda good a Tiff Hey,

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Speaker 1: Tiff and I were just talking while you're off having

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Speaker 1: a Wii, Patrick or whatever you were doing, just backing

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Speaker 1: one out and really.

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Speaker 2: Thirty second not even thirty seconds in, and it's just

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Speaker 2: too cras well.

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Speaker 1: It wasn't your It wasn't t for I that was

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Speaker 1: back and so don't.

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Speaker 2: Blame us leading something down with a fountain pen. The

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Speaker 2: you go, they say that, do you use a pen?

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Speaker 1: So Diff and I were talking about like high pitched noises.

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Speaker 1: I don't know how it came up.

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Speaker 3: Because I had to go turn the exhaust fan off

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Speaker 3: because I just heard it, and then I couldn't unhear it.

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Speaker 1: That's right. So in my office where I'm at now,

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Speaker 1: if Melissa's over here doing work junk and whatever, there's

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Speaker 1: apparently a sound in my office that she can hear,

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Speaker 1: and she's like, oh my god, doesn't that annoy you?

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Speaker 1: I can't even hear it, Like it's not like I

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Speaker 1: don't find it annoying, I can't actually hear it. And

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Speaker 1: then Tip was telling me, will you tell the story.

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Speaker 3: I used to work at a restaurant in Tazzy and

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Speaker 3: they had this electric kind of frequency thing plugged into

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Speaker 3: the PowerPoint that kept ants away, that ants could hear

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Speaker 3: it and wouldn't come. And I could hear it. I

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Speaker 3: could hear the noise. And I said to Harves, was

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Speaker 3: for annoying little critters, And yeah, I could hear it.

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Speaker 2: So if you can hear a repetitive winding sound when

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Speaker 2: you're with Craig, it's Craig.

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Speaker 1: Very hopeful.

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Speaker 3: And here I am unplugging everything all the time, wondering

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Speaker 3: what doesn't go away?

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Speaker 2: Now, what's interesting? I can remember I've got a young

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Speaker 2: guy who works for me after school. And there's a

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Speaker 2: level or a tone at which, as we get older

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Speaker 2: we can't hear it. And there was a while there

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Speaker 2: where teenagers were playing music in school classrooms or playing

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Speaker 2: noises that the teachers couldn't because they were too old.

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Speaker 2: So there's a range of frequency range that only young

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Speaker 2: people can actually hear. I thought that was really interesting.

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Speaker 1: You know, you two are being very hurtful to me.

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Speaker 4: We're sorry, Harps, we love you.

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Speaker 1: Very insecure. Yeah, I think that's a thing. I think

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Speaker 1: that that not being able to It's the same with dogs.

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Speaker 1: Don't dogs hear a certain pitch that humans can't hear.

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Speaker 2: Absolutely, you too.

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Speaker 1: Should test that now, Patrick, I sent you a I

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Speaker 1: mean you are the tech guy. I knew the guy

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Speaker 1: that comes up with the topics, but I sent I

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Speaker 1: saw something this week in the tech realm that I thought,

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Speaker 1: Oh my god, my friend would my friend would love

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Speaker 1: not only would he love one of these, but I

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Speaker 1: think he would fucking love this job. Tell Tiff what

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Speaker 1: and our listeners what I sent.

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Speaker 2: You look In the most simplest terms, it's a jet pack.

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Speaker 2: It's a lot more sophisticated than the ones that I

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Speaker 2: saw when I was fourteen at the Royal Melbourne Show

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Speaker 2: that I've been drooling over since I was fourteen. But

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Speaker 2: a British company has called called Gravity now allows people

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Speaker 2: to do test flights of this jet pack and it

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Speaker 2: is amazing. It's kind of a cross between the backpack,

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Speaker 2: but it also looks a bit like Iron Man from

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Speaker 2: the Marvel movies. And so Craigo sent it through to me.

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Speaker 2: But I did a bit more research Crago because when

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Speaker 2: we go to the UK, we can do these test flights.

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Speaker 2: So there's a special offer. At the moment it's one

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Speaker 2: five hundred pounds, but then if you do the full

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Speaker 2: flight experience, it kind of jumps a little bit more,

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Speaker 2: but I figure you could shout it's two hundred pounds

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Speaker 2: and then to do a whole day of flight training

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Speaker 2: it jumps. This is just the training is six six hundred,

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Speaker 2: so probably about ten grand to do a day's training.

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Speaker 1: The idea of learning to fly a jetpack sounds fraught

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Speaker 1: with danger.

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Speaker 2: Now they have a gantry right with ropes and supports

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Speaker 2: and all that. See, that's the thing. You go there

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Speaker 2: and they tether you to this gantry so that you're safe.

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Speaker 2: But I want to be out in the forest and

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Speaker 2: just fly over lakes and all that sort of stuff.

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Speaker 2: But you know, there are some places you can go to,

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Speaker 2: I think in Queensland, and they have these water based

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Speaker 2: jet packs. So what they It's like you've got a

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Speaker 2: jet ski underneath you and as you start to move,

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Speaker 2: it just uses water to propel you. Have you seen

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Speaker 2: that tip?

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Speaker 4: Yeah, I've seen those.

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Speaker 2: Yeah, I really want to do that. Maybe we could

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Speaker 2: do that. Craig go on holiday in Queensland and just

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Speaker 2: do the water jet pack experience.

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Speaker 1: Yeah, well it sounds super gay, but you're gay, but

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Speaker 1: I'm not. But that's okay. It's okay, it's okay that

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Speaker 1: it's going to.

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Speaker 2: Come with us, you and I go to the water park.

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Speaker 1: Really, can we not go to the UFC as well?

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Speaker 1: Can we not do something?

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Speaker 2: What about the trucks? What's what's the trucks?

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Speaker 1: Can we just upset the water parks with fucking monster trucks?

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Speaker 2: Are you telling me that putting on a water jet

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Speaker 2: pack is gay and monster trucks isn't? Like? What the hell?

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Speaker 1: What? I don't know, I don't know. It just no,

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Speaker 1: just you and me going to the water parks in

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Speaker 1: Queensland on a holiday, you know, But that's all right,

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Speaker 1: I said, sporty, I'm com before we go on. I

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Speaker 1: just remembered we had heaps of messages this week with

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Speaker 1: I don't know why. I don't know why we don't

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Speaker 1: have a photo of you up much, but there was

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Speaker 1: a photo of you and Tiff, But I thought we

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Speaker 1: have your scone on maybe because it was on general

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Speaker 1: distribution and not on our page. But how many people say, oh,

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Speaker 1: Patrick's nothing like what I thought? Like, I don't know.

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Speaker 1: That's either a compliment or an insult.

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Speaker 2: We thought it was dark and handsome.

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Speaker 1: Either way, it's an insult because like either they think

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Speaker 1: you've got this fucking movie star voice and then they

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Speaker 1: see your head and they're like, oh that's disappointing, or

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Speaker 1: the other way or the other way around. They think

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Speaker 1: your movie star looks but you've got a ship voice.

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Speaker 1: What do you get that? Have you had that feedback before?

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Speaker 2: No, but I'm going to go from cry for a bit.

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Speaker 1: Well you do have the dulcin No. I think you're

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Speaker 1: quite a good looking man, but you also have a

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Speaker 1: good look at Let's go to the water parks in Queensland. No,

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Speaker 1: but you do. Sorry, I'm just fucking hell. Well, clearly

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Speaker 1: I'm no good at women. So let's fucking let's try it.

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Speaker 1: Let's see what happens. Are you speaking of relationships? I

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Speaker 1: know I'm digressing, but you two are pretty much at

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Speaker 1: the verge of a life together. Can you explain to

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Speaker 1: Tiff what we would I know this is inappropriate, but

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Speaker 1: fuck our listeners.

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Speaker 2: Do you know?

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Speaker 1: Our listeners love this bit the best.

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Speaker 3: They like I'm not to post I'm not opposed to

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Speaker 3: a situation ship with Patrick.

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Speaker 2: Actually, look I love that, and you know why when

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Speaker 2: we have a private conversation do you then bring it

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Speaker 2: up in the podcast? Can I tell operating things. I

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Speaker 2: said it. I was saying, I really enjoyed hanging out

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Speaker 2: with Tiff last weekend, and I could be in a

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Speaker 2: relationship with her. I said, It'd be everything except sex.

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Speaker 2: We could probably spoon, but she's awesome. Look, seriously, Tiff

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Speaker 2: is just the ideal, perfect person everything. I'd tick all

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Speaker 2: the boxes there, Tiff.

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Speaker 3: Now, perhaps did mentioned it last night, and I've booked

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Speaker 3: out some time to go dress shopping.

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Speaker 2: So awesome, So I'd be up for that. Not for you,

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Speaker 2: a dress for her, you idiot, heard a company.

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Speaker 1: See I reckon Now. Patrick's proposal to me was not

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Speaker 1: that kind of proposal. His hypothetical scenario with you was

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Speaker 1: he would marry you. He said he would marry you

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Speaker 1: if you would allow him a semi regular, you know,

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Speaker 1: Saturday night off dalliance with somebody with a cock. Well,

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Speaker 1: I mean, all right, okay, and boy, all right? Well whatever?

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Speaker 2: Fuck?

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Speaker 1: I don't know these.

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Speaker 2: Days goes from bad to worse.

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Speaker 1: No, well, I mean obviously he likes boys, not girls,

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Speaker 1: but he could marry you.

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Speaker 4: And what did you say, Harps when he.

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Speaker 1: Said that, I said, well, you're about forty, dude, so

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Speaker 1: that's not I mean you say that yourself, so it's

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Speaker 1: not like the worst combo.

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Speaker 4: Oh well when we when?

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Speaker 2: When?

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Speaker 4: When are we all going to put it together?

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Speaker 2: This went to the wedding projeck dating, So this could

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Speaker 2: be the first t YP marriage.

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Speaker 1: I mean, like anything goes in twenty twenty four, so

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Speaker 1: why not? I mean, you guys, apart from the sex bit,

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Speaker 1: I think you guys would be a stellar couple. And

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Speaker 1: if you could go live in the country and then

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Speaker 1: your dogs could be best friends, that'd become brothers, sisters, sisters,

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Speaker 1: well siblings, canine siblings. As long as Fritz didn't eat

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Speaker 1: fucking the cat bears.

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Speaker 2: Yeah, I think, I think, yeah, cats would get it

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Speaker 2: over a dog anytime because cats have sharp claws. I

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Speaker 2: think I wouldn't let Fritz near an angry cat.

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Speaker 1: All right, can you two stop distracting me? Let's talk.

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Speaker 1: Isn't it funny when I'm the problem on my own show.

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Speaker 2: With that doubt? A couple of really nice segues right

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Speaker 2: throughout this conversation. So I'm going to jump in and

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Speaker 2: not let you start. So I got to say, now

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Speaker 2: I missed out on it, but that you were there.

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Speaker 2: We caught up in Castle, Maine, because we went to Well,

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Speaker 2: you went to a concert and it's where you featured,

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Speaker 2: didn't you.

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Speaker 4: A little bit? A little bit just saying of a.

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Speaker 2: Song video clip, I feel like I'm in the presence

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Speaker 2: of someone famous. Craig.

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Speaker 1: Oh, this is why you want to marry her, because

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Speaker 1: you're a bloody.

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Speaker 4: You're a wannabe writing on my coattails.

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Speaker 1: That's you're a groupie, like just because Tip's a big deal.

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Speaker 2: Now you don't have to marry her dragging along by

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Speaker 2: the straps on your your boxing gloves.

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Speaker 1: Hey. Now.

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Speaker 2: The reason I thought about this though, was because there's

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Speaker 2: some study that's come out into shared music experiences. So

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Speaker 2: what it revealed is that obviously when we listen to music,

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Speaker 2: I can evoke a reaction, so you know, if it's

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Speaker 2: a ode. To Joy, for example, is probably one of

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Speaker 2: the most beautiful pieces of music ever written by Beethoven.

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Speaker 2: And by coincidence, every year ABC Classic FM does a

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Speaker 2: one hundred countdown and their topic this year was the

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Speaker 2: top one hundred feel good tunes and to Joy we

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Speaker 2: all know O to Joy, Yeah, to google it, you'll

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Speaker 2: know it. So shared music experiences extenuate the sensation. So

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Speaker 2: listening to a really good piece of music, kind of

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Speaker 2: voke reaction. But what the study has found is if

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Speaker 2: you share it with somebody else, it enhances it even more,

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Speaker 2: and the connectedness between you and the person you're sharing

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Speaker 2: it with. And when I think back to some of

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Speaker 2: the best concerts I've ever been in or been to,

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Speaker 2: what's enhanced that even more is the person I was

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Speaker 2: there with at the time, enjoying it with. So I

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Speaker 2: went to Imagine Dragons a few years ago with my

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Speaker 2: nephew and his girlfriend, and you know, it was embarrassing

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Speaker 2: for them because I sing along with all the songs.

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Speaker 2: Do you do that tip?

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Speaker 3: Did you do? No?

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Speaker 4: I definitely known lip sync?

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Speaker 2: Do you sing a long? Crego?

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Speaker 4: He's got a great singing voice.

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Speaker 1: I do not. I do not.

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Speaker 4: You do have a great singing voice, though.

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Speaker 1: I can sing vaguely in tune. But if I'm at

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Speaker 1: a concert, no one needs me fucking warbling next to

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Speaker 1: them while the actual artists are on stage.

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Speaker 3: I save birthday songs from Harps on my voicemail and

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Speaker 3: listen to them regularly.

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Speaker 2: Oh wow, that's really great. I didn't know that about you, Crego.

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Speaker 4: M It's true she's denying it, but it's actually true true.

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Speaker 2: So that's that's really impressive. If you can, I think,

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Speaker 2: if you can hold a tone, even depending on your

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Speaker 2: vocal range, just being able to keep your voice in

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Speaker 2: tone I think makes the biggest difference as to listening

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Speaker 2: experience is pleasurable or not. But so this study showed

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Speaker 2: that sharing music even virtually can really enhance the pleasure.

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Speaker 2: And we're talking about triggering in orphans. It was a

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Speaker 2: study published by e Science and they looked across the

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Speaker 2: effects with a number of different experiments online with participants

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Speaker 2: in the United States and France. So even listening with somebody,

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Speaker 2: So remember the old mixtapes and you'd put a headphone

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Speaker 2: in one ear and you'd share the earpiece with another person,

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Speaker 2: and then you wonder, that's.

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Speaker 1: God, you're you're so fucking old. But I remember that,

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Speaker 1: I remember, I remember, this is how old I am.

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Speaker 1: Bro I remember making mixtapes, pressing play and record on

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Speaker 1: the cassette player off the radio. Ye me too, and

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Speaker 1: then you just missed the start of the song because

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Speaker 1: the fucking DJ was introing it right, and then they

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Speaker 1: kind of just wind it up a little bit.

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Speaker 2: Yeah, that was really annoying when they talked over the

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Speaker 2: intro to the Oh.

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Speaker 1: Yeah, yeah, yeah, those were the days though. That was

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Speaker 1: I mean, there's lots of research out on the relationship

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Speaker 1: or the impact of music on people's nervous system. So if,

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Speaker 1: for example, you hear something like ode to Join it, Like,

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Speaker 1: the interesting thing too, is it's like you might hear

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Speaker 1: a piece of music like somebody loves classical music, and

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Speaker 1: that switches on their parasympathetic you know, the calm parasympathetic

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Speaker 1: nervous system at lowers their heart rate, blood pressure, slows

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Speaker 1: their breathing, right, and that's because they love it. Somebody

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Speaker 1: else fucking hates it, right, and it does the opposite.

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Speaker 1: So it's not like this music produces a universal response.

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Speaker 1: Like some people love country and western it's all they

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Speaker 1: listen to. For other people, the same song is like,

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Speaker 1: you know, fingernails on a blackboard. So but it is

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Speaker 1: interesting the way that your physiology responds to differently to

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Speaker 1: the same stimulus to someone else.

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Speaker 2: Well, it's amazing, that's said. It's it's interesting that if

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Speaker 2: you book a survey, and that's why I like the

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Speaker 2: top one hundred countdown, but to have so many people

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Speaker 2: vote and that number one song being owed to Joy

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Speaker 2: out of all their listenership. And we're talking tens of

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Speaker 2: thousands of people, hundreds of thousands of people who vote

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Speaker 2: on this. I just thought it was quite interesting because

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Speaker 2: it's one that I would have put it really high

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Speaker 2: on the list for me. And it's funny when people

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Speaker 2: say that I don't like classical music and then you say, oh,

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Speaker 2: did you like that movie? Turn the music down or

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Speaker 2: turn the audio down when you're watching a scary movie

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Speaker 2: or an uplifting rom com and the music just helps

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Speaker 2: with the sense of the emotion. If you watch something,

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Speaker 2: you know, like a Stephen King film and you turn

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Speaker 2: the music if it's not scary anymore.

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Speaker 1: Yeah, that's true. I think also with research, I had

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Speaker 1: to be a fucking kill joy. But if you ask

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Speaker 1: that same question to one thousand people under thirty, you're

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Speaker 1: not getting owed to joy as the answer.

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Speaker 2: But if they, if they hear it with the music

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Speaker 2: and the way that it's composed, still have that same effect. Yeah.

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Speaker 1: Maybe, I mean it depends like it's like music is

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Speaker 1: a really powerful thing, isn't it, And it's like you.

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Speaker 2: Report, next time I've got my sixteen year old in,

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Speaker 2: I'm going to put a set of headphones on him,

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Speaker 2: and I'm going to play three pieces of music. You

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Speaker 2: guys choose one piece each. I'll choose the Joy. If

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Speaker 2: you guys want to choose one each, then I'll play

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Speaker 2: all three and we'll get him to do a rating

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Speaker 2: of one to ten on each piece of music, and

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Speaker 2: we'll see if the Joy comes out on top.

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Speaker 4: I don't choose the Boxer, what of course you do?

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Speaker 2: Come on, Craig, you got to choose a piece of music.

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Speaker 1: Just that one sixteen year old kid constitutes a study?

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Speaker 4: Any rand?

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Speaker 2: Okay, it's a mini study. Come on, choose a piece

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Speaker 2: of music on the spot.

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Speaker 1: Ala Lujah?

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Speaker 2: Oh no, that's true.

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Speaker 1: Yeah, all right, I will play all three, and but

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Speaker 1: I'm going to say, I'm going to tell you which

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Speaker 1: version of Alalujah?

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Speaker 2: Okay, we'll go And then well, I've.

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Speaker 1: Got to find I've just got to find the right artist.

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Speaker 1: Not Katie Lang. She does a good version, but there

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Speaker 1: are better versions.

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Speaker 2: All right? Done? Can I give a shout out to

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Speaker 2: the Dale Patterson who sent me a link. He's one

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Speaker 2: of our listeners from Geelong and he sent me a

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Speaker 2: link to a really cool tech website which was really interesting.

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Speaker 1: So I love how you say can I and then

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Speaker 1: you do it. No you can't, can't fiance, No, no,

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Speaker 1: you can't shout out to Dale? What what was Dale

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Speaker 1: emailing you about?

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Speaker 2: A tech website? Just lots of gadgets and stuff.

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Speaker 1: Of course, a fellow geek is he?

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Speaker 2: I don't know. Wouldn't want to wrap him up in

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Speaker 2: that bundle. I don't think that's very nice. I don't

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Speaker 2: know him. He could be a a nice, interesting person.

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Speaker 1: And I love geeks. We love geeks. We love you. Hey.

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Speaker 1: One of the things that I've been interested in and

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Speaker 1: we've spoken about, I think once or twice maybe, or

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Speaker 1: maybe we haven't, but I feel like we have is

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Speaker 1: animals and language and how elephants have their own language,

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Speaker 1: dolphins have their own language. And I think you have

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Speaker 1: a story in the space.

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Speaker 2: Well, just there's a nice little seguay to that too.

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Speaker 2: Do you know elephants? Actually, it's now thought they have names.

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Speaker 2: They name each other, so they rock up in the

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Speaker 2: middle of the jungle and say, hey, Bob, how are

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Speaker 2: you not too bad? Betty? Now it's interesting, isn't it.

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Speaker 2: But I do have a story about this, because look

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Speaker 2: for me, I reckon, I've got a good handle on

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Speaker 2: the kind of mood that Fritz is in. And you

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Speaker 2: know when a dog wags its tail and has all

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Speaker 2: these different cues. As a dog owner is a pet owner, tiff,

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Speaker 2: you would have a fairly good indication as to whether

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Speaker 2: your pet's happy or sad or excited, idable and all

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Speaker 2: that sort of stuff. But it's now thought that AI

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Speaker 2: potentially could actually translate what a dog is saying when

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Speaker 2: it barks. So imagine that if with every bark, a wine,

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Speaker 2: or a growl, you could even know what the dog

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Speaker 2: is effectively trying to communicate to you, and then in

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Speaker 2: the future they could even translate what craigs say. No,

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Speaker 2: But when you think about it, using AI to analyze

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Speaker 2: the tonal vocalizations of dogs, they say they can distinguish

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Speaker 2: between playful barks, aggressive growls, identify characteristics and even the

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Speaker 2: age and the breed of the dog by the sound

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Speaker 2: that it makes.

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Speaker 1: Wow, here's what dog dogs are saying. Four things right,

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Speaker 1: dog are saying I need a shit. Yeah, they're saying

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Speaker 1: I want to go for a walk, give me some

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Speaker 1: fucking food, and I love you. That's the four things

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Speaker 1: dogs are saying. So you're welcome. I just broke the code.

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Speaker 2: But you know, when a dog wags its tail, most

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Speaker 2: people associate that with being excited. So you meet a

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Speaker 2: new dog and the tail starts wagging. But what people

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Speaker 2: don't realize is depending on which way the tail is

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Speaker 2: leaning to so it will predominantly go left or right,

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Speaker 2: can actually mean apprehensive and potentially be not so much

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Speaker 2: a show of aggression but a show of apprehension. So

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Speaker 2: when two dogs meet each other, the tail can be wagging,

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Speaker 2: but it doesn't necessarily mean they're happy. It could mean

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Speaker 2: that they're apprehensive about meeting the other dog or the

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Speaker 2: situation that they're in, just by which way the tail goes.

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Speaker 2: So yes and no.

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Speaker 1: Well, when I introduce you to new people, I always

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Speaker 1: look at the way that your tail wags, and I

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Speaker 1: can tell if you're a little bit kind of like

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Speaker 1: fearful or joyful. That's why I always walk around the back.

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Speaker 2: You know, there's a thing that people get dressed up

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Speaker 2: as what do they call that up play?

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Speaker 1: Is that it Well, there are people that let's not

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Speaker 1: open that let's not open?

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Speaker 2: Can we can we continue on the AI theme. I

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Speaker 2: thought this was really awesome because I think probably about

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Speaker 2: a year ago there was a photographer who entered a

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Speaker 2: photo competition with an AI image and won it, and

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Speaker 2: of course then it was revealed that the photo wasn't

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Speaker 2: a real photograph, it had been generated by AI, and

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Speaker 2: then he was disqualified and it made all the headlines

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Speaker 2: and there's all this controversy. Well, a different photographer, a

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Speaker 2: guy by the name of Miles Astra, has done the

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Speaker 2: exact opposite. He's entered a photo competition where there was

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Speaker 2: a category for AI generated artwork or AI generated photography,

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Speaker 2: but he put a real image in and he won competition,

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Speaker 2: and it was this really amazing photograph of a pink flamingo,

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Speaker 2: and the judges and everybody thought, this is fantastic. Is

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Speaker 2: an AI amazing? And the photographer said he actually it

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Speaker 2: was a real photograph, and so he then got disqualified

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Speaker 2: for submitting a real photograph in an AI competition. So

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Speaker 2: I thought, it's kind of interesting that. And we're not

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Speaker 2: talking just run of the mill people off the street,

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Speaker 2: you and me. We're talking about some pretty smart people

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Speaker 2: from Getty Images, the New York Times, you know, Christie's.

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Speaker 2: So the judges knew what they were talking about, and

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Speaker 2: they kind of had a real sense of what a

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Speaker 2: good photograph is. But I just thought it was kind

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Speaker 2: of great to flip it around and that this photographer

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Speaker 2: came up with the idea. So this guy Miles Astray

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Speaker 2: and yeah, good on him. It was the eighteen thirty

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Speaker 2: nine Color Photography Awards, and so he actually won two categories.

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Speaker 2: One is he came third in the I think it

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Speaker 2: was the Judges Award, and then he came first in

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Speaker 2: the People's Vote Award. So everyone was fulled.

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Speaker 1: Everyone was tricked. I don't know that that's going to

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Speaker 1: happen too often moving forward, but I like real photography. Hey,

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Speaker 1: I don't really know what this is about, and this

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Speaker 1: isn't on our list of things to chat about, but

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Speaker 1: maybe you know. So Melissa, who is like the Apple coeen,

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Speaker 1: Like if you could marry Apple, Melissa would marry Apple.

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Speaker 2: I've got competition. What I've got competition?

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Speaker 1: Oh she is? She crushes so hard. You know Apple

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Speaker 1: is gay as well, right, Well, if Apple brought out

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Speaker 1: a toilet, she'd get an Apple toilet, like she would

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Speaker 1: get any Apple product. But this week, didn't Apple launch something.

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Speaker 1: Didn't they wheel out something like their version of chat

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Speaker 1: GPT or some verged it.

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Speaker 2: Yeah, this is really controversial. In fact, it was something

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Speaker 2: that I was going to talk about because what's happened

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Speaker 2: is they've basically Apple has this big event and it

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Speaker 2: talks about all their new up and coming stuff, and

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Speaker 2: one of the things they're talking about is merging AI

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Speaker 2: into the Siri operating system, so they're taking the next

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Speaker 2: so it's a big makeover for Siri. So effectively, what

436
00:24:15,960 --> 00:24:18,280
Speaker 2: it's going to do is going to make Siri more natural,

437
00:24:18,560 --> 00:24:22,320
Speaker 2: more relevant, they're saying, more personal. It's got a new look.

438
00:24:22,920 --> 00:24:26,399
Speaker 2: The icon's been made to look different and it glows better.

439
00:24:26,680 --> 00:24:28,760
Speaker 2: But what they're saying now is that you can also

440
00:24:28,840 --> 00:24:31,400
Speaker 2: handle things like stumbles in speech, so if someone has

441
00:24:31,400 --> 00:24:36,000
Speaker 2: a stutter, it'll better understand context. And you can also

442
00:24:36,200 --> 00:24:38,320
Speaker 2: type to Syria, and it can answer questions about how

443
00:24:38,320 --> 00:24:41,640
Speaker 2: you use your iPhone and you iMac and your iPad

444
00:24:41,640 --> 00:24:43,280
Speaker 2: and all that sort of thing. The other thing it'll

445
00:24:43,320 --> 00:24:44,920
Speaker 2: also be able to do is interact with the other

446
00:24:45,520 --> 00:24:48,800
Speaker 2: apps on your phone, so that's one of the things

447
00:24:48,800 --> 00:24:50,480
Speaker 2: that Siri hasn't been able to do in the past.

448
00:24:50,520 --> 00:24:53,080
Speaker 2: So you can get it to go and interact with

449
00:24:53,200 --> 00:24:55,760
Speaker 2: other apps, and it's going to make the user experience

450
00:24:56,080 --> 00:24:59,760
Speaker 2: a lot better. However, there is a little bit of controversy.

451
00:24:59,800 --> 00:25:02,679
Speaker 2: Now we know that Elon Musk loves to be the

452
00:25:02,720 --> 00:25:06,040
Speaker 2: controversial person, but he's come out. Elon Musk has this

453
00:25:06,119 --> 00:25:10,439
Speaker 2: love hate relationship with AI, so he effectively a second

454
00:25:10,520 --> 00:25:14,960
Speaker 2: This was announced by Apple within hours, He's tweeted about

455
00:25:15,320 --> 00:25:18,520
Speaker 2: saying that he's going to cancel iPhones, that none of

456
00:25:18,520 --> 00:25:21,080
Speaker 2: his staff will be allowed to bring iPhones into the

457
00:25:21,080 --> 00:25:23,880
Speaker 2: building and if they do, they'll be told to take

458
00:25:23,960 --> 00:25:26,520
Speaker 2: out their iPhones and their iPhones will be put in

459
00:25:26,520 --> 00:25:31,119
Speaker 2: a Faraday cage. Do you know what a Faraday cage is? Yeah?

460
00:25:31,680 --> 00:25:35,280
Speaker 1: Yeah, yeah, So they's yeah, like, but nobody will be

461
00:25:35,320 --> 00:25:40,160
Speaker 1: allowed to enter any of his buildings, like customers, nobody

462
00:25:40,240 --> 00:25:41,640
Speaker 1: with an Apple product.

463
00:25:42,119 --> 00:25:46,560
Speaker 2: Yeah yeah, I mean, mind you he's I think he's

464
00:25:47,080 --> 00:25:51,720
Speaker 2: suing open AI or there's some sort of case going

465
00:25:51,760 --> 00:25:53,359
Speaker 2: on at the moment. So there's there's a bit of

466
00:25:53,400 --> 00:25:56,000
Speaker 2: bad blood there. But the reason he says that he

467
00:25:56,119 --> 00:25:59,520
Speaker 2: doesn't want this integration or he thinks it's a bad thing,

468
00:26:00,160 --> 00:26:02,720
Speaker 2: is that he feels that effectively, what it's going to

469
00:26:02,800 --> 00:26:05,480
Speaker 2: do is it's just going to make them spying devices.

470
00:26:05,840 --> 00:26:09,560
Speaker 2: He says that you know, effectively, it's just going to

471
00:26:09,960 --> 00:26:12,440
Speaker 2: to kind of run a muck and that people will

472
00:26:12,480 --> 00:26:15,320
Speaker 2: be able to spy on him using their iPhones.

473
00:26:15,960 --> 00:26:19,600
Speaker 1: Do you know what I've noticed recently using chat GPT

474
00:26:19,880 --> 00:26:27,000
Speaker 1: four point zero, Patrick James is that old mate who

475
00:26:27,040 --> 00:26:30,000
Speaker 1: sounds like Tim Ferriss. That's the dude that talks to me,

476
00:26:30,160 --> 00:26:34,240
Speaker 1: sounds exactly like Tim Ferriss. He doesn't always get my

477
00:26:34,320 --> 00:26:39,720
Speaker 1: Australian accent. So sometimes I just need to americanize the

478
00:26:39,880 --> 00:26:44,679
Speaker 1: question because I don't type. I usually just talk like

479
00:26:44,760 --> 00:26:46,639
Speaker 1: you know how you can just ask it a question

480
00:26:46,760 --> 00:26:50,080
Speaker 1: and then it types and gives audio for the answer.

481
00:26:50,960 --> 00:26:56,239
Speaker 1: So sometimes it says, oh, I think you're asking you know?

482
00:26:56,359 --> 00:26:59,639
Speaker 1: And then then I say it again with a less

483
00:27:00,160 --> 00:27:03,560
Speaker 1: Boganny voice, and it understands what I'm saying. So I

484
00:27:03,640 --> 00:27:08,960
Speaker 1: wonder if the new Apple product can understand Bogans. Maybe

485
00:27:09,600 --> 00:27:14,760
Speaker 1: probably a Bogan friendly Bogan friendly AI. I bet they

486
00:27:14,840 --> 00:27:16,480
Speaker 1: don't even know what that is over there?

487
00:27:16,720 --> 00:27:18,960
Speaker 2: Not a chance if you were going to say something, because.

488
00:27:18,880 --> 00:27:20,840
Speaker 3: I was going to say joy, let everyone else know?

489
00:27:20,880 --> 00:27:23,240
Speaker 3: Could I had to google it? Anyone that mightn't know

490
00:27:23,280 --> 00:27:24,760
Speaker 3: what a Faraday cage is?

491
00:27:26,800 --> 00:27:29,800
Speaker 2: Yeah? Yeah, okay, So Faraday cage if you can imagine

492
00:27:29,840 --> 00:27:33,520
Speaker 2: just a wire mesh around you. So they usually use

493
00:27:33,600 --> 00:27:37,080
Speaker 2: them during experiments. So if you were you know how

494
00:27:37,119 --> 00:27:39,280
Speaker 2: you can have like a basically, if you if you

495
00:27:39,320 --> 00:27:42,320
Speaker 2: had lightning come down, you could protect yourself inside a

496
00:27:42,320 --> 00:27:46,480
Speaker 2: Faraday cage. So it insulates you from an electrical discharge.

497
00:27:46,560 --> 00:27:49,480
Speaker 2: Is that all the right answer, Tiff?

498
00:27:49,720 --> 00:27:50,399
Speaker 4: Yeah, yeah it is.

499
00:27:50,480 --> 00:27:54,400
Speaker 3: Yeah, it protects from an electromagnetic radiation and if you're interference.

500
00:27:54,720 --> 00:27:56,520
Speaker 3: I was thinking it might just be a lock box,

501
00:27:56,560 --> 00:27:58,800
Speaker 3: and I thought I might get one for chocolate around here, But.

502
00:27:59,640 --> 00:28:02,240
Speaker 2: Have you your chocolate from last weekend already? I ate

503
00:28:02,320 --> 00:28:05,720
Speaker 2: it on the way home, so did I didn't get

504
00:28:05,720 --> 00:28:07,560
Speaker 2: out of the car, so we bought chocolate at the

505
00:28:07,640 --> 00:28:10,840
Speaker 2: chocolate shop. Mine didn't make it back to the land.

506
00:28:11,280 --> 00:28:13,080
Speaker 2: It was only about forty five minutes away.

507
00:28:13,400 --> 00:28:14,280
Speaker 4: One didn't even.

508
00:28:14,119 --> 00:28:17,439
Speaker 3: Make it out of Castle Maye or Castle Maine if

509
00:28:17,440 --> 00:28:17,959
Speaker 3: you're fancy.

510
00:28:18,080 --> 00:28:20,320
Speaker 2: Oh yeah, is it Castle made or Castle Maine? Maybe

511
00:28:20,320 --> 00:28:23,320
Speaker 2: someone from Castle Maine or Castle Magan tell us, I

512
00:28:23,400 --> 00:28:26,840
Speaker 2: never know, Crag, I said, was it? Well?

513
00:28:27,000 --> 00:28:30,160
Speaker 1: It? I think people from up there call it castle.

514
00:28:31,320 --> 00:28:34,360
Speaker 1: I'm a bogan, so I call it castle. But I

515
00:28:34,400 --> 00:28:37,200
Speaker 1: think interestingly. And this's got nothing to do with tech.

516
00:28:37,280 --> 00:28:39,880
Speaker 1: But remember if that dude we had on I think

517
00:28:39,920 --> 00:28:44,680
Speaker 1: his name is Dean Morby, the Power Left to Do. Yeah, yeah, yeah,

518
00:28:44,720 --> 00:28:47,800
Speaker 1: he's from Castle, Maine and all these homies up there,

519
00:28:47,840 --> 00:28:50,880
Speaker 1: so shout out to I mean, this is just we'll

520
00:28:51,000 --> 00:28:54,000
Speaker 1: come back in thirty seconds, Patrick. But this guy trains

521
00:28:54,040 --> 00:28:58,040
Speaker 1: a whole lot of older citizens, a lot of fifty plus,

522
00:28:58,120 --> 00:29:01,880
Speaker 1: sixty seventy plus, and he's basically well last time I

523
00:29:01,920 --> 00:29:03,960
Speaker 1: spoke to him. Anyway, I assume he's still doing it.

524
00:29:04,040 --> 00:29:09,280
Speaker 1: He had essentially a power lifting Jim Castle May Yeah,

525
00:29:09,320 --> 00:29:15,520
Speaker 1: for all these old people, and yeah, what's that? What

526
00:29:15,560 --> 00:29:16,000
Speaker 1: are you doing?

527
00:29:16,160 --> 00:29:16,560
Speaker 4: Castle?

528
00:29:17,960 --> 00:29:22,400
Speaker 2: I looked up how to pronounce Castlemaine and that's what

529
00:29:22,400 --> 00:29:23,640
Speaker 2: it came up as.

530
00:29:23,840 --> 00:29:25,960
Speaker 1: Castle Maine. It's brittish.

531
00:29:26,280 --> 00:29:28,360
Speaker 2: How can that work now? And it didn't work earlier?

532
00:29:28,520 --> 00:29:31,360
Speaker 2: So I was only playing it so I could listen

533
00:29:31,360 --> 00:29:33,240
Speaker 2: to it myself, and I didn't realize you guys could

534
00:29:33,240 --> 00:29:34,760
Speaker 2: hear it. But just for the sake of those people

535
00:29:34,760 --> 00:29:37,200
Speaker 2: who didn't hear it the first time, Castle.

536
00:29:36,840 --> 00:29:38,640
Speaker 4: Maine, I.

537
00:29:40,440 --> 00:29:44,360
Speaker 1: Think everyone, all right, that's enough now, Patrick, I think

538
00:29:44,480 --> 00:29:49,800
Speaker 1: everyone in the world other than nausies pronounces it parcel Maine.

539
00:29:51,040 --> 00:29:58,800
Speaker 1: I think all right, back on Bogan, Bogan Bergan, Like,

540
00:29:58,880 --> 00:30:02,040
Speaker 1: what's hilarious is when posh person says bogan, So it

541
00:30:02,080 --> 00:30:04,720
Speaker 1: doesn't sound like crass anymore?

542
00:30:05,600 --> 00:30:08,520
Speaker 4: And can you make it pronounce the sea word? That trick?

543
00:30:09,320 --> 00:30:13,400
Speaker 1: No, no, tiff? When did you become me?

544
00:30:13,800 --> 00:30:18,320
Speaker 4: It sounds so polite? I thought it might really soundly polite.

545
00:30:18,440 --> 00:30:22,040
Speaker 2: But genuinely speaking, you don't want to see your does Craig?

546
00:30:24,240 --> 00:30:24,400
Speaker 3: Oh?

547
00:30:24,440 --> 00:30:26,280
Speaker 2: Sorry you said the sea thing? I thought you meant craig.

548
00:30:28,840 --> 00:30:34,600
Speaker 1: God, I'm fucking copying it today. What's a collective noun

549
00:30:34,720 --> 00:30:40,920
Speaker 1: for bogan heard bogue? No, not the not the plural,

550
00:30:41,080 --> 00:30:45,360
Speaker 1: the collective noun, I don't know. Like a flock, a flotilla,

551
00:30:45,440 --> 00:30:52,000
Speaker 1: a murder, a gaggle of craigs, a gaggle of cra Yeah,

552
00:30:52,280 --> 00:30:55,920
Speaker 1: for sure it would be what about all right? Come on?

553
00:30:55,960 --> 00:30:58,280
Speaker 1: Can we get back on this terrible.

554
00:30:58,120 --> 00:31:01,360
Speaker 2: Are we scared about the Siri AI integration? Do you

555
00:31:01,360 --> 00:31:03,840
Speaker 2: want your phone knowing everything and being able to do

556
00:31:03,960 --> 00:31:08,040
Speaker 2: stuff without you even needing to ask it to tip? Ah?

557
00:31:08,160 --> 00:31:11,320
Speaker 4: Yeah, it's a bit weird, isn't it. I don't know what.

558
00:31:11,280 --> 00:31:14,560
Speaker 1: Does that mean though? Being able to without being without

559
00:31:14,600 --> 00:31:15,120
Speaker 1: asking it.

560
00:31:15,440 --> 00:31:18,400
Speaker 2: Well, okay, so we spoke about this a couple of

561
00:31:18,440 --> 00:31:22,320
Speaker 2: weeks ago. When I recently had an update to Android

562
00:31:22,360 --> 00:31:25,560
Speaker 2: Auto in my car using my Android phone, I had

563
00:31:25,600 --> 00:31:27,600
Speaker 2: a whole lot of text messages come through from a

564
00:31:27,640 --> 00:31:30,920
Speaker 2: single person. Because young people don't send one text, they

565
00:31:31,080 --> 00:31:34,160
Speaker 2: don't do a paragraph, they do line by line by line.

566
00:31:34,520 --> 00:31:39,520
Speaker 2: So a friend of mine sent me five text messages. Right.

567
00:31:39,600 --> 00:31:43,640
Speaker 2: So my car then responded and said, you've just received

568
00:31:43,640 --> 00:31:45,520
Speaker 2: a whole lot of text messages from this person. Would

569
00:31:45,560 --> 00:31:48,760
Speaker 2: you like me to summarize what the conversation was about?

570
00:31:48,960 --> 00:31:52,000
Speaker 2: And I said, yeah, that's great, Google, go for it.

571
00:31:52,160 --> 00:31:55,120
Speaker 2: And it did. It summarized the whole thing, so rather

572
00:31:55,160 --> 00:31:58,640
Speaker 2: than bombarding me with five different text messages, it just

573
00:31:58,640 --> 00:32:00,680
Speaker 2: gave me the gist of what the conversation was about.

574
00:32:00,760 --> 00:32:03,880
Speaker 2: So that's where AI is being employed, and it's great

575
00:32:03,920 --> 00:32:06,520
Speaker 2: in the car, you don't want to be disturbed by

576
00:32:06,640 --> 00:32:09,600
Speaker 2: a stack of text messages. So I mean, that's just

577
00:32:09,640 --> 00:32:12,840
Speaker 2: one really simple example of potentially what it could do.

578
00:32:13,000 --> 00:32:18,240
Speaker 2: But I like the idea of a bogan translator, or

579
00:32:18,360 --> 00:32:21,280
Speaker 2: you know what about if someone stutters and has an accent,

580
00:32:21,360 --> 00:32:24,000
Speaker 2: But those things actually do have a lot of and

581
00:32:24,040 --> 00:32:26,560
Speaker 2: a lot of merit because it's going to make life

582
00:32:26,600 --> 00:32:29,280
Speaker 2: a lot easier for people and more accessible. So it

583
00:32:29,320 --> 00:32:32,680
Speaker 2: will make that text sery or you know, or whatever

584
00:32:32,720 --> 00:32:35,840
Speaker 2: the android aut diversion is or android. So I kind

585
00:32:35,840 --> 00:32:39,360
Speaker 2: of like the idea ish. I think Elon Musk is

586
00:32:39,400 --> 00:32:42,560
Speaker 2: just doing the publicity stunt thing into.

587
00:32:42,320 --> 00:32:44,960
Speaker 1: What if there was a Seri or there was AI

588
00:32:45,120 --> 00:32:48,080
Speaker 1: that kind of had its own personality and some days

589
00:32:48,080 --> 00:32:50,880
Speaker 1: it was just like having a bad day. It's like

590
00:32:51,160 --> 00:32:53,680
Speaker 1: and you you know, you open it up and it goes,

591
00:32:53,720 --> 00:32:56,000
Speaker 1: what fucking what now?

592
00:32:56,400 --> 00:32:57,960
Speaker 2: But it'd be good if you could choose the mood

593
00:32:57,960 --> 00:33:00,600
Speaker 2: for the day to match your move, so, you know,

594
00:33:00,680 --> 00:33:05,680
Speaker 2: the shitty mood, over the top nice mood. You could

595
00:33:05,680 --> 00:33:07,920
Speaker 2: do the TIFFs, the Patrick and the Greg mood.

596
00:33:08,520 --> 00:33:10,479
Speaker 1: What if you ask it a question and it's like,

597
00:33:10,560 --> 00:33:15,400
Speaker 1: that's a fucking stupid question. Try harder, Like seriously, you're

598
00:33:15,440 --> 00:33:19,000
Speaker 1: not asking me that, Like AI with attitude?

599
00:33:19,320 --> 00:33:22,840
Speaker 2: Can I make an admission? So my identical twin brother,

600
00:33:22,920 --> 00:33:26,080
Speaker 2: genetically identical to me, he rang me up and he

601
00:33:26,160 --> 00:33:28,240
Speaker 2: was telling me about a tech problem that he had,

602
00:33:28,320 --> 00:33:30,360
Speaker 2: and I got to the point where I thought, how

603
00:33:30,400 --> 00:33:32,920
Speaker 2: could you be so stupid and not understand this because

604
00:33:32,920 --> 00:33:38,720
Speaker 2: we're genetically identical. It's like, you don't understand it.

605
00:33:39,920 --> 00:33:42,560
Speaker 1: Well, that's because you've exposed yourself to a lot of

606
00:33:42,680 --> 00:33:44,760
Speaker 1: training and education experience.

607
00:33:45,000 --> 00:33:47,080
Speaker 2: I should have listened to that whole sentence, shouldn't I have?

608
00:33:48,040 --> 00:33:51,400
Speaker 1: Well, you've you've got knowledge he hasn't. That's not about genetics.

609
00:33:51,400 --> 00:33:54,160
Speaker 1: That's just about what you've learned versus what he's learned.

610
00:33:54,200 --> 00:33:57,480
Speaker 2: It was pretty basically paste or something. I don't know it,

611
00:33:57,600 --> 00:34:01,400
Speaker 2: something simple if you rolled his eyes and said, yeah,

612
00:34:01,400 --> 00:34:06,800
Speaker 2: I don't know how, he doesn't do it anyway. All right, cybersecurity,

613
00:34:07,960 --> 00:34:13,160
Speaker 2: let's talk about that. Okay, Well, you have a business,

614
00:34:13,280 --> 00:34:17,520
Speaker 2: a small business, a business of sorts. How CyberSecure are you?

615
00:34:17,600 --> 00:34:18,200
Speaker 2: Do you? Reckon?

616
00:34:18,960 --> 00:34:22,080
Speaker 1: I'm not the person to ask. I'm about as CyberSecure

617
00:34:22,120 --> 00:34:26,439
Speaker 1: as a fucking box of clinics. That's out tough.

618
00:34:27,120 --> 00:34:29,800
Speaker 2: Do you think it's relevant though? I mean, I'm probably

619
00:34:29,840 --> 00:34:32,279
Speaker 2: asking a really obvious question because if I know you've

620
00:34:32,320 --> 00:34:35,440
Speaker 2: been through this whole debarcle and the stress of having

621
00:34:35,520 --> 00:34:38,480
Speaker 2: to go through this yourself. But I think that well,

622
00:34:38,680 --> 00:34:40,520
Speaker 2: there's a lot of warnings coming out now and we're

623
00:34:40,560 --> 00:34:43,440
Speaker 2: talking this is like across the board, So this is

624
00:34:43,480 --> 00:34:47,560
Speaker 2: from a government level, both in Australia and also overseas

625
00:34:47,600 --> 00:34:50,760
Speaker 2: as well. The United States has when his cyber attacks

626
00:34:50,800 --> 00:34:53,279
Speaker 2: were state driven. So what I'm saying is it's not

627
00:34:53,440 --> 00:34:56,799
Speaker 2: just independent. You know, some Russian bloke sitting in his

628
00:34:56,920 --> 00:35:00,000
Speaker 2: back shed trying to hack into your computer, but these

629
00:35:00,000 --> 00:35:04,759
Speaker 2: a state sanctioned where certain states well, and it's kind

630
00:35:04,760 --> 00:35:07,320
Speaker 2: of commonly known that China has a very active operation

631
00:35:07,840 --> 00:35:13,160
Speaker 2: in hacking as well, so state sanctioned hacking. And I

632
00:35:13,280 --> 00:35:16,359
Speaker 2: think more sixty percent of small business owners say that

633
00:35:16,640 --> 00:35:20,480
Speaker 2: hackers are their biggest fear. This was according to the

634
00:35:20,600 --> 00:35:24,680
Speaker 2: US Chamber of Commerce. But sixty percent is a massive amount.

635
00:35:24,840 --> 00:35:28,520
Speaker 2: And you heard about the hack recently at the NHS

636
00:35:28,560 --> 00:35:31,400
Speaker 2: in the UK. This only happened in the last fortnight,

637
00:35:32,280 --> 00:35:37,279
Speaker 2: so happened wassh Yeah? Anyway, the National Health Service NHS

638
00:35:37,520 --> 00:35:41,000
Speaker 2: was hacked into, but it was so bad that they

639
00:35:41,120 --> 00:35:45,080
Speaker 2: ended up resorting to using paper for communications and people

640
00:35:45,080 --> 00:35:47,360
Speaker 2: who were on waiting lists for surgery had to be

641
00:35:47,360 --> 00:35:51,400
Speaker 2: put off. It impacted and potentially could have caused major

642
00:35:51,440 --> 00:35:55,120
Speaker 2: problems for people who were needed urgent surgery. And it

643
00:35:55,160 --> 00:35:57,919
Speaker 2: makes you realize how vulnerable potentially we could be whether

644
00:35:57,960 --> 00:36:01,960
Speaker 2: it's public services, could be like our electricity supply, water,

645
00:36:02,040 --> 00:36:04,359
Speaker 2: that sort of stuff. So it kind of opens it up.

646
00:36:04,640 --> 00:36:07,960
Speaker 2: And when you run a small business, because you tend

647
00:36:08,080 --> 00:36:11,000
Speaker 2: not to have the infrastructure, you don't have somebody who's

648
00:36:11,080 --> 00:36:14,359
Speaker 2: running your IT network, that kind of tends to leave

649
00:36:14,400 --> 00:36:17,720
Speaker 2: you more vulnerable as well. So, I mean, it's something

650
00:36:17,760 --> 00:36:20,040
Speaker 2: certainly that I've thought about, but because I guess a

651
00:36:20,040 --> 00:36:23,040
Speaker 2: little bit more tech savvy, I think about the security

652
00:36:23,040 --> 00:36:26,760
Speaker 2: implications of what it means for the data that I store.

653
00:36:27,680 --> 00:36:29,919
Speaker 2: But when you think about all the data that you've

654
00:36:29,960 --> 00:36:34,359
Speaker 2: got crago, you know, your research at the moment, how

655
00:36:34,400 --> 00:36:35,760
Speaker 2: are you protecting that research?

656
00:36:37,320 --> 00:36:41,560
Speaker 1: Yeah, so it's it is stored. I don't know. I

657
00:36:42,120 --> 00:36:44,839
Speaker 1: don't do that bit, but I don't know. I don't

658
00:36:44,880 --> 00:36:48,000
Speaker 1: know it's in a cupboard. I don't know a cyber cupboard.

659
00:36:48,200 --> 00:36:51,040
Speaker 1: I don't know, Patrick, I can don't ask me. I

660
00:36:51,120 --> 00:36:53,239
Speaker 1: know how to get into it and access it. It's

661
00:36:53,239 --> 00:36:56,840
Speaker 1: not my job. I don't do security. But it's funny

662
00:36:56,880 --> 00:36:59,239
Speaker 1: you asked, right, because I'm old. But then I think

663
00:36:59,280 --> 00:37:04,759
Speaker 1: about with the rapid evolution of computing, you know, quantum computers,

664
00:37:05,120 --> 00:37:10,160
Speaker 1: arriving next Wednesday, right, and the world is that like

665
00:37:10,239 --> 00:37:13,680
Speaker 1: the way that we buy and sell and bank and

666
00:37:14,480 --> 00:37:17,759
Speaker 1: you know, medicine and all of that. Like my dear

667
00:37:17,800 --> 00:37:22,160
Speaker 1: old mum and dad. I look at them, and twenty

668
00:37:22,360 --> 00:37:25,480
Speaker 1: twenty four is bewildering for my mum and dad. Like

669
00:37:25,520 --> 00:37:29,040
Speaker 1: it just that and they're not dumb people, but it's

670
00:37:29,320 --> 00:37:32,279
Speaker 1: just it's just I don't know. I don't know what

671
00:37:32,320 --> 00:37:36,400
Speaker 1: the answer is because we can't stop technological advancement. But

672
00:37:36,520 --> 00:37:40,920
Speaker 1: I feel so sorry. Like I went out two weekends

673
00:37:40,960 --> 00:37:42,879
Speaker 1: ago with mum and dad and their friends. So there

674
00:37:42,960 --> 00:37:45,800
Speaker 1: was like eight old people, I mean fucking old, fucking

675
00:37:46,000 --> 00:37:49,560
Speaker 1: old as fuck, like Noah's friends, right, Jesus is fucking

676
00:37:49,760 --> 00:37:54,400
Speaker 1: next door neighbors, right, and me and I was looking

677
00:37:54,440 --> 00:37:56,839
Speaker 1: around the table and I was trying to explain to

678
00:37:56,880 --> 00:38:01,560
Speaker 1: them what a podcast was, just something that simple. And

679
00:38:02,400 --> 00:38:04,759
Speaker 1: I'm not at all being rude because they're fucking you know,

680
00:38:04,840 --> 00:38:07,120
Speaker 1: in some ways they're way smarter than all of us, right,

681
00:38:07,200 --> 00:38:11,920
Speaker 1: but yeah, I like, fuck and this is essentially you know,

682
00:38:11,960 --> 00:38:13,880
Speaker 1: the best way you can explain it to them is

683
00:38:13,960 --> 00:38:15,960
Speaker 1: it's kind of like a radio show that you can

684
00:38:16,040 --> 00:38:19,680
Speaker 1: just listen to whenever you want, you know, but then

685
00:38:19,760 --> 00:38:21,799
Speaker 1: more how do you how do you? Where is it

686
00:38:21,840 --> 00:38:23,799
Speaker 1: on your phone? And then trying to go, well, so

687
00:38:23,920 --> 00:38:25,279
Speaker 1: there's an app, and then that's like.

688
00:38:25,360 --> 00:38:27,600
Speaker 2: Fuck, do they understand in streaming?

689
00:38:28,680 --> 00:38:32,400
Speaker 1: Not not kind of, but you know, like none of

690
00:38:32,440 --> 00:38:35,319
Speaker 1: them have Netflix, none of them have any of those platforms,

691
00:38:35,360 --> 00:38:38,840
Speaker 1: and so I guess theoretically, but even when you explain

692
00:38:38,920 --> 00:38:41,440
Speaker 1: to them something that for us and all of our listeners,

693
00:38:41,520 --> 00:38:45,560
Speaker 1: it's like, well, how could somebody not understand that? It's

694
00:38:45,560 --> 00:38:48,160
Speaker 1: a very different when you when you're trying to understand

695
00:38:48,160 --> 00:38:54,120
Speaker 1: an eighty five year old person's worldview thinking through like TIFFs,

696
00:38:54,320 --> 00:38:58,600
Speaker 1: you know, looking through TIFFs window, and she's probably more

697
00:38:58,640 --> 00:39:01,759
Speaker 1: compassionate and understanding, but you know what I mean, it's like, well,

698
00:39:01,800 --> 00:39:04,600
Speaker 1: of course this makes sense, but to them it makes

699
00:39:04,719 --> 00:39:07,200
Speaker 1: no sense, you know, And I just I don't know.

700
00:39:07,280 --> 00:39:09,960
Speaker 1: I think for me, that's something that I worry about

701
00:39:09,960 --> 00:39:14,000
Speaker 1: for really old people like Mum is terrified of paying

702
00:39:14,040 --> 00:39:17,720
Speaker 1: things electronically because she doesn't know what they're talking about,

703
00:39:18,200 --> 00:39:20,760
Speaker 1: and the people at the bank or whatever or medicare

704
00:39:20,880 --> 00:39:23,719
Speaker 1: they just talk to her like she's an idiot, because no,

705
00:39:23,880 --> 00:39:26,760
Speaker 1: you just do this, And they talked to her quickly

706
00:39:26,920 --> 00:39:30,960
Speaker 1: and dismissively, and she doesn't actually understand what it all means.

707
00:39:31,600 --> 00:39:33,400
Speaker 1: Can I just say they worries me?

708
00:39:33,960 --> 00:39:37,040
Speaker 2: Yeah? Can I just say too though? You do sometimes

709
00:39:37,080 --> 00:39:39,759
Speaker 2: have a choice. And I'm not going to particularly name

710
00:39:39,840 --> 00:39:42,960
Speaker 2: any of the different banks, but you've got the Big four,

711
00:39:43,040 --> 00:39:44,879
Speaker 2: and then there are other banks as well, and there

712
00:39:44,880 --> 00:39:48,720
Speaker 2: are community banks, and sometimes it's about voting with your feet.

713
00:39:49,239 --> 00:39:52,200
Speaker 2: I recently had I live in a small town. We

714
00:39:52,280 --> 00:39:54,760
Speaker 2: only had two banks in our town, and the big

715
00:39:54,920 --> 00:39:57,279
Speaker 2: bank pulled out. One of the Big four pulled out

716
00:39:57,320 --> 00:39:59,600
Speaker 2: of the township. So I pulled all of my money

717
00:39:59,600 --> 00:40:02,000
Speaker 2: out of it and put it into the local community bank.

718
00:40:02,040 --> 00:40:03,879
Speaker 2: I thought, you know what, bug you and I can

719
00:40:03,960 --> 00:40:06,080
Speaker 2: walk in there any time of day and I see

720
00:40:06,120 --> 00:40:11,280
Speaker 2: them explaining things delicately, understanding they will talk them through

721
00:40:11,480 --> 00:40:13,919
Speaker 2: you for older people, because generally it's older people who

722
00:40:13,960 --> 00:40:16,080
Speaker 2: want to have that face to face. And I think

723
00:40:16,120 --> 00:40:19,840
Speaker 2: that there's still ways to shop around, to ask around

724
00:40:19,960 --> 00:40:23,840
Speaker 2: and not to get lumped in and be treated like that.

725
00:40:23,920 --> 00:40:26,120
Speaker 2: So if you go to a telco provider, there's a

726
00:40:26,120 --> 00:40:28,480
Speaker 2: lot of third party telco providers. Now, if you walk

727
00:40:28,520 --> 00:40:30,399
Speaker 2: in and you're not satisfied, because you think you're being

728
00:40:30,400 --> 00:40:33,120
Speaker 2: treated like a dummy, go somewhere else, vote with your feet.

729
00:40:34,400 --> 00:40:36,560
Speaker 1: Everything you said makes sense to me. But if you

730
00:40:36,640 --> 00:40:38,520
Speaker 1: said to my mum and dad go to a third

731
00:40:38,600 --> 00:40:41,239
Speaker 1: party telco provider and vote with they'd be like, I

732
00:40:41,239 --> 00:40:43,120
Speaker 1: don't know what the fuck do you mean? I mean,

733
00:40:43,120 --> 00:40:45,640
Speaker 1: this is the point we all get that my mum

734
00:40:45,680 --> 00:40:48,960
Speaker 1: and dad do not understand anything you just said. So

735
00:40:49,000 --> 00:40:50,360
Speaker 1: that's the problem.

736
00:40:50,560 --> 00:40:53,759
Speaker 2: Yeah, can I You know, I was so excited by this.

737
00:40:54,239 --> 00:40:59,120
Speaker 2: The FBI recently hacked some hackers. And there are different

738
00:40:59,160 --> 00:41:02,440
Speaker 2: ways that hackers can get into your system. So, you know,

739
00:41:02,520 --> 00:41:04,560
Speaker 2: you click on a link and then they skim the

740
00:41:04,600 --> 00:41:06,799
Speaker 2: information they want to get your ID so they can

741
00:41:06,840 --> 00:41:09,279
Speaker 2: pretend that they're you. But the other thing they can

742
00:41:09,280 --> 00:41:11,799
Speaker 2: do is they use ransomware where they take all of

743
00:41:11,840 --> 00:41:14,360
Speaker 2: your data, they lock it up, they encrypt it, and

744
00:41:14,400 --> 00:41:17,919
Speaker 2: then they exploit that and say, well, if you want

745
00:41:17,920 --> 00:41:19,960
Speaker 2: your data back, you've got to pay us X amount

746
00:41:19,960 --> 00:41:23,640
Speaker 2: of dollars. Okay, so that's ransomware. But now the FBI,

747
00:41:23,640 --> 00:41:28,520
Speaker 2: I've managed to get seven thousand key keys to ransomware

748
00:41:28,680 --> 00:41:30,520
Speaker 2: and they're just giving them away for free. So if

749
00:41:30,560 --> 00:41:35,959
Speaker 2: someone a business, an individual, whatever gets hacked and they

750
00:41:36,200 --> 00:41:39,520
Speaker 2: have all their data locked up. Now, the FBI has

751
00:41:39,680 --> 00:41:43,959
Speaker 2: acts seven thousand ransomware keys, which I thought was really good,

752
00:41:44,160 --> 00:41:47,640
Speaker 2: so you can basically get access to your data without

753
00:41:48,280 --> 00:41:51,319
Speaker 2: having this whole ransom situation over the top of you.

754
00:41:51,400 --> 00:41:54,120
Speaker 2: So it's good to see that the good guys, that

755
00:41:54,200 --> 00:41:59,759
Speaker 2: the white hat hackers are getting their way around some

756
00:41:59,800 --> 00:42:01,600
Speaker 2: of the naughty people out there. Crago.

757
00:42:02,120 --> 00:42:04,560
Speaker 1: I love that, and I like it that there are

758
00:42:04,600 --> 00:42:05,640
Speaker 1: white hat hackers.

759
00:42:06,120 --> 00:42:06,440
Speaker 2: Love it.

760
00:42:06,480 --> 00:42:09,280
Speaker 1: I love that idea. I did see on the news

761
00:42:09,400 --> 00:42:11,400
Speaker 1: on I don't know what channel it was, but and

762
00:42:11,440 --> 00:42:14,680
Speaker 1: it looked a bit weird to me this week a

763
00:42:14,800 --> 00:42:19,080
Speaker 1: robotic thumb that people were yes, so instead of having

764
00:42:19,880 --> 00:42:23,120
Speaker 1: four digits and one thumb, they had four fingers and

765
00:42:23,200 --> 00:42:26,880
Speaker 1: two thumbs on one. So they've now essentially got six

766
00:42:26,960 --> 00:42:30,640
Speaker 1: fingers on one hand. I'm not sure that's necessary, but

767
00:42:30,719 --> 00:42:32,040
Speaker 1: tell us about it. Yeah.

768
00:42:32,080 --> 00:42:34,520
Speaker 2: Well, so this study showed that ninety eight percent of

769
00:42:34,560 --> 00:42:36,799
Speaker 2: the people who took part in it were able to

770
00:42:37,239 --> 00:42:43,479
Speaker 2: more successfully manipulate objects with a third thumb, and only

771
00:42:43,520 --> 00:42:46,719
Speaker 2: thirteen people were unable to perform the task within the

772
00:42:46,719 --> 00:42:49,680
Speaker 2: first minutes. So people put on this glove, it gives

773
00:42:49,719 --> 00:42:53,319
Speaker 2: them an extra thumb, and within a minute, ninety eight

774
00:42:53,360 --> 00:42:57,200
Speaker 2: percent were able to use it more effectively than their

775
00:42:57,239 --> 00:43:01,800
Speaker 2: normal hand. So the dexterity was improved by having this augmentation,

776
00:43:02,480 --> 00:43:05,080
Speaker 2: so it could be used in lots of areas. And

777
00:43:05,120 --> 00:43:07,520
Speaker 2: they're saying that it's kind of like, you know, you're

778
00:43:07,600 --> 00:43:11,879
Speaker 2: grasping ability, so the dexterity was increased as well. It's

779
00:43:12,000 --> 00:43:14,960
Speaker 2: kind of really good. It's a robotic thumb. Would that

780
00:43:15,080 --> 00:43:15,840
Speaker 2: be great, wouldn't it?

781
00:43:16,400 --> 00:43:19,040
Speaker 1: Ah? I tell you who would love that? Mary for

782
00:43:19,160 --> 00:43:20,040
Speaker 1: opening jars?

783
00:43:20,560 --> 00:43:23,200
Speaker 2: Yes, exactly, so you get the double thumbs up. How

784
00:43:23,239 --> 00:43:23,560
Speaker 2: good's that?

785
00:43:25,440 --> 00:43:28,240
Speaker 1: I'm not even lying when I was up there last Saturday,

786
00:43:28,320 --> 00:43:31,400
Speaker 1: because I go every Saturday to take fucking hercules to

787
00:43:31,440 --> 00:43:37,440
Speaker 1: the gym Ronnie mcgronstar, And yeah, Mary asked me to

788
00:43:37,480 --> 00:43:40,040
Speaker 1: open multiple things because she was cooking, and you know

789
00:43:40,120 --> 00:43:42,360
Speaker 1: she takes out the jars of whatever out of the

790
00:43:42,400 --> 00:43:45,040
Speaker 1: fridge or the cupboard. I may as well just go

791
00:43:45,160 --> 00:43:47,919
Speaker 1: up there to open jars every Saturday and then drive home.

792
00:43:48,000 --> 00:43:51,800
Speaker 1: But if she had the robotic fucking thumb, she wouldn't

793
00:43:51,800 --> 00:43:54,400
Speaker 1: need me. I'd become redundant.

794
00:43:55,239 --> 00:43:58,399
Speaker 2: That's it, just a robotic thumb and that's all your work.

795
00:44:00,880 --> 00:44:04,000
Speaker 1: What role does Craig play is essentially a robotic thumb.

796
00:44:04,960 --> 00:44:06,160
Speaker 1: It comes at no cost.

797
00:44:06,920 --> 00:44:09,560
Speaker 2: It must be pretty easy to use if people only

798
00:44:09,600 --> 00:44:13,239
Speaker 2: took sixty seconds to be able to feel comfortable using it,

799
00:44:13,280 --> 00:44:15,400
Speaker 2: because I would think that if you had a glove

800
00:44:15,480 --> 00:44:17,920
Speaker 2: with an extra thumb pointing out, that would be weird.

801
00:44:18,400 --> 00:44:23,520
Speaker 2: But evidently not. That says a lot about the user experience.

802
00:44:23,640 --> 00:44:25,719
Speaker 2: If it's that easy to pick up and start working with,

803
00:44:25,800 --> 00:44:26,360
Speaker 2: don't you reckon?

804
00:44:26,400 --> 00:44:30,440
Speaker 1: Well, yeah, I guess I mean more, I don't know,

805
00:44:30,520 --> 00:44:35,719
Speaker 1: maybe more importantly, like for people who like amputees who

806
00:44:35,760 --> 00:44:38,000
Speaker 1: have had accidents or whatever, you think, what are the

807
00:44:38,040 --> 00:44:43,920
Speaker 1: potential applications. There's a well known fuck. I think his

808
00:44:44,080 --> 00:44:48,719
Speaker 1: name is Paul Gelder. It might be he is a

809
00:44:48,800 --> 00:44:54,319
Speaker 1: guy who had one of his arms bitten off and

810
00:44:54,920 --> 00:44:57,440
Speaker 1: or like his forearm and hand and one of his

811
00:44:57,560 --> 00:45:01,760
Speaker 1: legs bitten off. Paul dig Gelder, Paul de Gelder, Thanks

812
00:45:01,800 --> 00:45:07,919
Speaker 1: tiff In believe it or not. Patrick Sidney Harbor shark

813
00:45:07,960 --> 00:45:13,080
Speaker 1: attack like like, imagine being fucking attacked by a shark

814
00:45:13,120 --> 00:45:16,920
Speaker 1: and he was a navy diver, but he's got these

815
00:45:17,239 --> 00:45:22,520
Speaker 1: motherfucker of a bionic end and he's jacked, like he's

816
00:45:22,560 --> 00:45:26,400
Speaker 1: this bit strong, jacked athletic dude. And he's got a

817
00:45:26,440 --> 00:45:30,800
Speaker 1: prosthetic bionic arm and hand and also a leg I think,

818
00:45:31,160 --> 00:45:34,319
Speaker 1: or just a prosthetic leg. But yeah, I think that's

819
00:45:34,360 --> 00:45:38,080
Speaker 1: one of the I think pretty soon we're going Look,

820
00:45:39,120 --> 00:45:41,359
Speaker 1: this is just what I think. I could be wildly wrong,

821
00:45:41,960 --> 00:45:45,760
Speaker 1: but I think we're going to see in the next

822
00:45:45,800 --> 00:45:50,440
Speaker 1: decade we're going to see quadriplegics walking through, you know,

823
00:45:50,520 --> 00:45:53,520
Speaker 1: with the stuff that they can now do with not

824
00:45:53,640 --> 00:45:56,920
Speaker 1: only the spine and the nervous system, but also robotics

825
00:45:56,960 --> 00:46:01,520
Speaker 1: and and you know, imagine, imagine people like our friend

826
00:46:01,560 --> 00:46:05,759
Speaker 1: tif Joel SARTI imagine, fuck, how good would that be

827
00:46:05,880 --> 00:46:08,160
Speaker 1: for him to be able to get to that point

828
00:46:08,200 --> 00:46:11,120
Speaker 1: in time? And Yeah, I think it's exciting. I think

829
00:46:11,160 --> 00:46:13,799
Speaker 1: for me, this is the well, one of the there's many,

830
00:46:13,840 --> 00:46:17,360
Speaker 1: but one of the upsides Patrick of like this kind

831
00:46:17,400 --> 00:46:21,279
Speaker 1: of genius that is coming online is that when we

832
00:46:21,360 --> 00:46:24,239
Speaker 1: can do stuff like help people walk that would never

833
00:46:24,320 --> 00:46:27,760
Speaker 1: have been able to walk, you know, for me, that's

834
00:46:27,360 --> 00:46:30,000
Speaker 1: it's it's all all the negative is worth it if

835
00:46:30,000 --> 00:46:31,200
Speaker 1: we can do things like that.

836
00:46:31,600 --> 00:46:33,600
Speaker 2: Yeah, and there's lots of different trains of thought too.

837
00:46:33,640 --> 00:46:38,040
Speaker 2: There's the exoskeleton where they basically have an exoskeleton around

838
00:46:38,120 --> 00:46:42,959
Speaker 2: the non functioning limbs, the legs. Of course, you could

839
00:46:42,960 --> 00:46:46,759
Speaker 2: then you know, match that up with say the brain implant,

840
00:46:47,080 --> 00:46:48,719
Speaker 2: so you do it that way. But but I think

841
00:46:48,760 --> 00:46:51,880
Speaker 2: we've spoken about this before as well, bypassing the injury

842
00:46:51,920 --> 00:46:55,240
Speaker 2: to the spine where you yeah, an ability to actually

843
00:46:55,280 --> 00:46:59,360
Speaker 2: have the nerve tissue connected and bypass the broken connection

844
00:46:59,480 --> 00:47:02,120
Speaker 2: there and so potentially that could be as well. So

845
00:47:02,360 --> 00:47:03,560
Speaker 2: I'm super exciting.

846
00:47:03,719 --> 00:47:06,800
Speaker 1: Yeah, and you think about the muscles, like, for example,

847
00:47:06,840 --> 00:47:10,800
Speaker 1: if somebody gets say a let's say between the shoulder blades,

848
00:47:10,840 --> 00:47:13,719
Speaker 1: so the thoracic so at T five or six, right,

849
00:47:14,480 --> 00:47:18,400
Speaker 1: and so they their arms work, but their legs don't work.

850
00:47:19,520 --> 00:47:23,279
Speaker 1: But their legs actually work. It's just that there's no

851
00:47:24,160 --> 00:47:27,719
Speaker 1: basically juice getting to the legs, you know. So as

852
00:47:27,760 --> 00:47:31,759
Speaker 1: you said, like the actual muscles, there's nothing wrong with

853
00:47:31,840 --> 00:47:34,960
Speaker 1: the muscles, they're just not getting any neural connection for

854
00:47:35,040 --> 00:47:38,359
Speaker 1: the brain to make the legs work. So yeah, if

855
00:47:38,360 --> 00:47:40,920
Speaker 1: you could build a little kind of a neural bridge

856
00:47:41,360 --> 00:47:46,439
Speaker 1: over that break so that that signal gets through, I mean,

857
00:47:46,600 --> 00:47:48,520
Speaker 1: I reckon you and I could probably figure that out

858
00:47:48,520 --> 00:47:50,640
Speaker 1: on a weekend. If we really put our minds.

859
00:47:50,400 --> 00:47:54,160
Speaker 4: To it, can get the crab to build it.

860
00:47:55,560 --> 00:48:00,879
Speaker 1: Exactly. I could conceptualize it. You know, I do work

861
00:48:00,880 --> 00:48:03,200
Speaker 1: at Brain Park or I do research at Brain Park,

862
00:48:03,280 --> 00:48:05,600
Speaker 1: So fuck, how hard can it be? I'm kidding everyone,

863
00:48:05,640 --> 00:48:07,280
Speaker 1: Please don't send me hate emails.

864
00:48:07,600 --> 00:48:11,200
Speaker 2: But I love through the door. They did, they not filter?

865
00:48:11,880 --> 00:48:13,400
Speaker 2: People look like.

866
00:48:14,120 --> 00:48:18,160
Speaker 1: I'm like the stupid mascot. You know, have AFL clubs

867
00:48:18,200 --> 00:48:21,000
Speaker 1: have a mascot. I'm the Brain Park mascot. I just

868
00:48:21,000 --> 00:48:24,000
Speaker 1: fucking walk around bumping into shit and people pat.

869
00:48:23,760 --> 00:48:25,520
Speaker 4: Me Brain Park Labrador.

870
00:48:26,000 --> 00:48:28,200
Speaker 2: Yeah yeah, the one who's pushing at the door that

871
00:48:28,280 --> 00:48:28,840
Speaker 2: says Paul.

872
00:48:29,480 --> 00:48:29,640
Speaker 4: Yeah.

873
00:48:29,719 --> 00:48:31,919
Speaker 1: Yeah. Like I just pushed my head against the door

874
00:48:32,000 --> 00:48:34,359
Speaker 1: until someone hears me banging and then they let me in.

875
00:48:35,560 --> 00:48:39,280
Speaker 1: It's sad, but like I love the pats and the food.

876
00:48:39,680 --> 00:48:43,600
Speaker 2: Yeah. So talking about uplifting technology, this was I thought,

877
00:48:43,640 --> 00:48:46,600
Speaker 2: this is a nice little segue. So the Chinese drone

878
00:48:46,680 --> 00:48:52,400
Speaker 2: manufacturer Dji has for the first time ever flown a

879
00:48:52,680 --> 00:48:55,480
Speaker 2: drone to the top of Everest up up to one

880
00:48:55,480 --> 00:48:58,200
Speaker 2: of the base stations at Everest. Because the air is

881
00:48:58,280 --> 00:49:02,319
Speaker 2: quite thin and it's hard to get the lift capacity.

882
00:49:02,680 --> 00:49:05,399
Speaker 2: And what they're talking about is using the fly cart

883
00:49:05,560 --> 00:49:09,319
Speaker 2: thirty to be able to fly up there. So we're

884
00:49:09,360 --> 00:49:14,279
Speaker 2: talking six thousand meters six kilometers up and it was

885
00:49:14,400 --> 00:49:21,400
Speaker 2: able to be able to deliver resources up to people

886
00:49:21,400 --> 00:49:23,480
Speaker 2: at the top of Everest or up up that high.

887
00:49:23,719 --> 00:49:26,720
Speaker 2: And because the big the problem there is the high winds,

888
00:49:27,120 --> 00:49:29,920
Speaker 2: the sub zero temperatures, is a whole lot of factors

889
00:49:29,920 --> 00:49:32,120
Speaker 2: that have meant that drones in the past haven't been

890
00:49:32,120 --> 00:49:34,160
Speaker 2: able to get up there. But it also means that

891
00:49:34,239 --> 00:49:37,600
Speaker 2: they can clean up all the crap that's on top

892
00:49:37,600 --> 00:49:39,640
Speaker 2: of Everest as well. There's a whole lot of junk

893
00:49:39,719 --> 00:49:42,160
Speaker 2: up there, a lot of well lots of stuff up there,

894
00:49:42,480 --> 00:49:45,200
Speaker 2: so they can a whole lot of dead people and

895
00:49:45,239 --> 00:49:48,239
Speaker 2: dead people yeah, yep. So the good thing is that

896
00:49:48,320 --> 00:49:50,160
Speaker 2: they were able to do this. They did a round

897
00:49:50,200 --> 00:49:53,080
Speaker 2: trip and they still had forty three percent battery power

898
00:49:53,200 --> 00:49:54,799
Speaker 2: by the end of it, which is kind of cool.

899
00:49:55,160 --> 00:49:57,680
Speaker 2: And what it will do though, is it's going to

900
00:49:57,719 --> 00:50:00,279
Speaker 2: make it a lot safer two because they do clean

901
00:50:00,360 --> 00:50:02,919
Speaker 2: up parts of Everest, And what it's going to mean

902
00:50:03,000 --> 00:50:05,520
Speaker 2: is that for the sherpas and people who are trying

903
00:50:05,560 --> 00:50:09,200
Speaker 2: to preserve the natural area they can stand in pulling

904
00:50:09,239 --> 00:50:11,240
Speaker 2: these drones. I thought that was really kind of cool

905
00:50:11,400 --> 00:50:13,319
Speaker 2: that they're doing that with the drones. I had a

906
00:50:13,320 --> 00:50:15,880
Speaker 2: personal example last weekend. I think I told Tip about this.

907
00:50:17,280 --> 00:50:19,239
Speaker 2: I do a bit of drone photography and one of

908
00:50:19,239 --> 00:50:21,279
Speaker 2: my clients wanted me to go out and do some

909
00:50:21,800 --> 00:50:25,479
Speaker 2: drone work just around some earth moving that they were doing.

910
00:50:25,840 --> 00:50:28,360
Speaker 2: And I left the land and I was only driving

911
00:50:28,400 --> 00:50:31,640
Speaker 2: forty five minutes and it was nice and still kind

912
00:50:31,680 --> 00:50:34,359
Speaker 2: of nice day. And I get to the location and

913
00:50:34,680 --> 00:50:37,960
Speaker 2: they're gusting winds of forty five kilometers an hour and

914
00:50:38,040 --> 00:50:41,000
Speaker 2: at one point the drone that I've got can at

915
00:50:41,120 --> 00:50:44,120
Speaker 2: top speed can go about seventy clicks, so it's fast.

916
00:50:44,120 --> 00:50:46,360
Speaker 2: If you put it into sport mode, it's pretty fast.

917
00:50:46,600 --> 00:50:48,239
Speaker 2: So I had it in sport mode and it was

918
00:50:48,280 --> 00:50:53,000
Speaker 2: still going backwards. Yeah, it was pretty full on. So

919
00:50:53,040 --> 00:50:54,680
Speaker 2: I had to kind of fly closer to the ground

920
00:50:54,719 --> 00:50:56,640
Speaker 2: and then move it to one location and then let

921
00:50:56,640 --> 00:51:00,080
Speaker 2: the wind kind of push it at maximum speed. But

922
00:51:00,200 --> 00:51:02,440
Speaker 2: that was kind of interesting. So when to fly all

923
00:51:02,480 --> 00:51:05,560
Speaker 2: the way up, you know, to to that part of

924
00:51:05,600 --> 00:51:09,920
Speaker 2: Everest and to you know, nineteen thousand six hundred and

925
00:51:10,000 --> 00:51:12,800
Speaker 2: eighty five feet sounds more impressive than six thousand meters,

926
00:51:12,800 --> 00:51:13,880
Speaker 2: doesn't it.

927
00:51:13,920 --> 00:51:17,799
Speaker 1: Well, six kilometers. The top of Everest is nearly nine kilometers,

928
00:51:17,840 --> 00:51:19,800
Speaker 1: so that must be up to one of the base

929
00:51:19,880 --> 00:51:25,200
Speaker 1: camps or one of the camp tours, but still six

930
00:51:25,280 --> 00:51:28,560
Speaker 1: kilometers up in the air. Dude. Yeah, Like you think

931
00:51:28,600 --> 00:51:32,720
Speaker 1: of a hundred story building that's one thousand feet usually

932
00:51:32,760 --> 00:51:37,319
Speaker 1: because there's like ten foot a floor, so that that

933
00:51:37,320 --> 00:51:40,120
Speaker 1: would be the equivalent of what did you say, how

934
00:51:40,120 --> 00:51:41,680
Speaker 1: many thousand feet?

935
00:51:42,239 --> 00:51:43,360
Speaker 2: Nineteen thousand feet?

936
00:51:44,640 --> 00:51:49,480
Speaker 1: That'd be the equivalent of a nineteen hundred story building.

937
00:51:51,080 --> 00:51:54,400
Speaker 1: That's fucking Hey, we needs jam. How can people find

938
00:51:54,400 --> 00:51:57,319
Speaker 1: you my friend and come and you know, play with

939
00:51:57,400 --> 00:52:00,960
Speaker 1: you and your drone? And also perhaps you need to

940
00:52:01,040 --> 00:52:05,040
Speaker 1: organize the the wedding arrangements just so all of us

941
00:52:05,120 --> 00:52:06,640
Speaker 1: can plan.

942
00:52:07,320 --> 00:52:09,480
Speaker 2: Well. If someone wants to just chat about nerd stuff

943
00:52:09,520 --> 00:52:11,480
Speaker 2: with me, I'm always happy to do that. And thank

944
00:52:11,520 --> 00:52:12,960
Speaker 2: you Dale from Geelong.

945
00:52:13,640 --> 00:52:15,839
Speaker 1: You get married if I'll pay for it.

946
00:52:16,400 --> 00:52:20,000
Speaker 2: Ah, we want to go to Vegas, Tiff, Let's go

947
00:52:20,040 --> 00:52:20,800
Speaker 2: to Vegas again.

948
00:52:21,000 --> 00:52:25,759
Speaker 1: I'm not paying for your honey. If you want to

949
00:52:25,760 --> 00:52:27,239
Speaker 1: get married, I.

950
00:52:27,400 --> 00:52:30,040
Speaker 2: Pay for it. And we want to get married in Vegas.

951
00:52:30,320 --> 00:52:32,680
Speaker 1: I will pay for your wedding up to a value

952
00:52:32,680 --> 00:52:36,840
Speaker 1: of five thousand dollars. Has to be a legal wedding.

953
00:52:37,160 --> 00:52:39,160
Speaker 2: You know this is being recorded, right you can't.

954
00:52:39,360 --> 00:52:42,880
Speaker 1: I don't care. I'm happy if you actually really get married.

955
00:52:42,920 --> 00:52:43,640
Speaker 1: I'll pay for it.

956
00:52:44,160 --> 00:52:46,319
Speaker 2: Yeah, we will go to Vegas and get married, and

957
00:52:46,320 --> 00:52:47,880
Speaker 2: then you're not getting married in Vegas.

958
00:52:47,920 --> 00:52:49,719
Speaker 1: You've got to get married here. We need a real

959
00:52:49,760 --> 00:52:52,960
Speaker 1: wedding and it needs to be legal, and me and

960
00:52:53,000 --> 00:52:55,160
Speaker 1: the typ folks are going to come along.

961
00:52:55,680 --> 00:52:57,240
Speaker 4: My mom's going to be so happy.

962
00:52:58,520 --> 00:52:59,919
Speaker 2: Only if you're the bride's maid.

963
00:53:01,440 --> 00:53:04,719
Speaker 1: I'll be the flower girl. I'll do security. I'll fucking sing,

964
00:53:04,880 --> 00:53:05,520
Speaker 1: don't worry.

965
00:53:06,040 --> 00:53:09,279
Speaker 2: Yeah, people can contact me going to websites now dot

966
00:53:09,320 --> 00:53:12,160
Speaker 2: com todau because Genesis effects is too hard to spell.

967
00:53:14,280 --> 00:53:17,799
Speaker 2: So you know, I created my business name before the

968
00:53:17,840 --> 00:53:21,000
Speaker 2: internet was a thing, and so no one knows how

969
00:53:21,040 --> 00:53:23,480
Speaker 2: to spell genesis effects, so I just kind of created

970
00:53:23,520 --> 00:53:27,120
Speaker 2: websites now. Dot com toda you is the alternative. I mean,

971
00:53:27,160 --> 00:53:29,040
Speaker 2: we do a lot of websites, so I guess that's

972
00:53:29,040 --> 00:53:31,440
Speaker 2: a good reason to have that, But it's just the

973
00:53:31,520 --> 00:53:33,919
Speaker 2: easiest way to spell what we do.

974
00:53:35,080 --> 00:53:38,040
Speaker 1: I think sometimes we try and get too tricky with names.

975
00:53:38,239 --> 00:53:40,800
Speaker 1: I think that I think your new name works best. Patrick,

976
00:53:40,920 --> 00:53:44,640
Speaker 1: Thank you, Pa, thank you, thank you. I think this

977
00:53:44,680 --> 00:53:46,640
Speaker 1: episode is going to be called Patrick and Tiff for

978
00:53:46,680 --> 00:53:47,759
Speaker 1: getting married for sure,