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Speaker 1: I'll get a team. It's Craig, Anthony Heart, Tiffany and Cook, Patrick,

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Speaker 1: James Bonillo. It is you projected as a Friday. As

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Speaker 1: we record, it's five minutes past nine here in the

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Speaker 1: thriving metropolis of Melbourne where Tiffany and Cook is. It's

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Speaker 1: nineteen eighty four and it's about nine ninety eight where

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Speaker 1: Patrick is.

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Speaker 2: Hi everyone, Hi, Hi, gee, that was two in one go.

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Speaker 3: That's two.

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Speaker 1: I've just come in off the long run and I've

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Speaker 1: just released a fastball tiff House, Tassi.

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Speaker 4: I've literally just come in off a long run. See

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Speaker 4: I've read my faces.

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Speaker 1: Yeah, I was looking at your face. I'm thinking you're

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Speaker 1: either really embarrassed or you've been doing something where your

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Speaker 1: heart rate's over one hundred.

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Speaker 3: It definitely is like running.

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Speaker 4: How good is it?

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Speaker 3: Though?

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Speaker 1: How far you right?

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Speaker 3: It is?

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Speaker 1: What's your hard you run?

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Speaker 3: I run ten cays and what's your heart rate? Well?

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Speaker 4: I got a little message on my garm and my

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Speaker 4: ma's heart rate just got increased to two oh one.

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Speaker 3: So what is it now?

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Speaker 2: We should track it in five minutes, Craig, go and

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Speaker 2: then incrementally see what.

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Speaker 1: It depends how long ago she stopped like if she

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Speaker 1: stopped three minutes ago, that would be interesting, but if

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Speaker 1: she stopped ten minutes ago, it wouldn't be How long, goo,

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Speaker 1: did you.

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Speaker 4: Finish fifteen minutes ago?

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Speaker 3: There you go?

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Speaker 1: So what's your heart rate right now? Can I guess?

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Speaker 4: Yeah?

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Speaker 1: Sixty one?

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Speaker 3: No?

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Speaker 4: What is it ninety? I actually have a high working

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Speaker 4: heart rate. My resting heart rates fifty right now luck

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Speaker 4: this week, right now. But when I move and exercise

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Speaker 4: it goes up.

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Speaker 1: Yeah, that's not necessarily what's yours? Patrick? I see you

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Speaker 1: looking at your bloody data there on your wrist.

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Speaker 2: Well, my heart rate at the moment is varying between

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Speaker 2: about sixty if it's actually going up now it was

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Speaker 2: sixty two, it's now gone up to sixty four. But

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Speaker 2: my average is fifty three. So what is it about?

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Speaker 3: Sitting in the room with you too, I'll tell you

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Speaker 3: what I'm going to take.

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Speaker 1: Don't you look at it. I'm going to take my

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Speaker 1: shirt off and then let's see what happens.

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Speaker 3: And then can Tiff take her shirt off?

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Speaker 1: Yeah?

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Speaker 3: See, I nearly didn't put it on. I was that hot.

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Speaker 4: I only that's why I was a little bit later

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Speaker 4: I thought I'd better put my shirt on.

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Speaker 1: I think thanks for that. We're a family show.

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Speaker 3: It's got to seventy four. What the hell have you

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Speaker 3: even not off yet? It was Gus about it.

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Speaker 1: That's the thought of my pets being on the screen.

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Speaker 3: You's going back now, it's going higher.

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Speaker 1: Yeah, you couldn't fucking cope, bro, Patrick, how's life in

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Speaker 1: the bush? You know?

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Speaker 2: As I wandered down to my little studio, I picked

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Speaker 2: an apple from the tree as I sat down.

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Speaker 3: I mean, isn't life great?

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Speaker 1: I know? I'll tell you what. There's no one in

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Speaker 1: not too many people in suburbia picking an apple on

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Speaker 1: the way to their podcast studio, that is, or their

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Speaker 1: recording studio. I don't think I've ever heard that sentence,

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Speaker 1: and probably never will again, Tiff, just before we talk

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Speaker 1: about actual things, have you seen your granddad yet?

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Speaker 3: No? Not yet.

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Speaker 4: He's out for a country to drive today with some

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Speaker 4: friends before they go back to wherever they came from.

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Speaker 1: And how's one hundred and one looking on him?

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Speaker 4: Mate? How exciting?

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Speaker 1: Really good?

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Speaker 4: Yeah?

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Speaker 3: Oh that's amazing.

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Speaker 4: Yeah he's kicking it. Wow, mate, I am good.

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Speaker 3: Geens that helps doesn't when?

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Speaker 2: Yeah, look at that for a lineage pedigree.

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Speaker 3: He's Luna what have you done with Luna while you're away?

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Speaker 4: She's here with me. Yeah, come on the boat.

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Speaker 2: Yeah, it's funny, isn't it because they have two new

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Speaker 2: ships because you had to put Luna in a little

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Speaker 2: pound though, didn't you during the voyage? Because you know

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Speaker 2: the new ships that they've built that are currently I

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Speaker 2: think on'es in Norway ones in Scotland, they're now like

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Speaker 2: two or three years away. But the thing is you

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Speaker 2: were able to have in the new ships. You're going

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Speaker 2: to be able to go from Victoria Tasmane and back

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Speaker 2: and have your dog in the cabin with you.

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Speaker 3: Mm hmm, how good? Sayd I can't wait.

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Speaker 1: You can't pull the obvious question. I'm not even going

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Speaker 1: to ask it, but can you answer the obvious question?

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Speaker 3: What?

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Speaker 1: Or come on?

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Speaker 3: I don't know what's the obvious question? Well?

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Speaker 1: Ship the dog shit?

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Speaker 2: Well you dogs trained, Fritz will go for nine hours

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Speaker 2: without having to go.

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Speaker 4: There's no reted area on the ship where they can

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Speaker 4: take them for we wiz.

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Speaker 1: Yes, do they call that the ship shipping area?

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Speaker 3: Holy ship? Yeah?

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Speaker 1: Holy ship? All right, let's talk about technology, because that

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Speaker 1: that's our that's our mission, that's allegedly our mission every time.

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Speaker 2: Mate, Look, I just you know, I was reading social

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Speaker 2: media gets me a little bit riled. Okay, so I

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Speaker 2: stopped social media. I think about eight years ago. I

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Speaker 2: stopped using it personally. And it is a to get

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Speaker 2: caught up in the momentum of comments because once upon

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Speaker 2: a time, journalism was filtered. You had an editor and

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Speaker 2: anything that was published was vetted before it went. Now

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Speaker 2: with social media, it's like a you know, it's electronic vomit.

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Speaker 2: Anybody can say anything at any time, and it sparks debate.

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Speaker 2: And I was reading an article yesterday and flicking doom scrolling,

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Speaker 2: and it was an article in reaction to a radio

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Speaker 2: segment where people were getting really riled up about taking

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Speaker 2: your dogs to Bunnings. So for about eight years, the

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Speaker 2: Bunnings hardware store allows people to take their dogs.

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Speaker 3: So Fritzy comes with me all the time.

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Speaker 2: I love taking Fritzy to Bunnings and I put him

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Speaker 2: into the trolley and everyone loves Fritzy, so people come

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Speaker 2: over and pat him, and kids, you know, love him.

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Speaker 2: He's a great cute little dog and he's well behaved.

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Speaker 2: But it sparked all this controversy. But the article that

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Speaker 2: was published was just in reaction to this radio segment,

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Speaker 2: so really the journalist hadn't done any work.

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Speaker 3: It was just oating segments.

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Speaker 2: And what fascinated me was there are probably about seventy comments,

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Speaker 2: and I started flicking through the comments, and what really

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Speaker 2: got me was the anger, the absolute anger and angst

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Speaker 2: at people firing off at each other. So someone said, oh,

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Speaker 2: I can bring the dog, but you know, you shouldn't

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Speaker 2: let kids because kids are worse than pets. And other

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Speaker 2: people were saying, and I've seen dogs dogs pee on

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Speaker 2: the you know, on the products, and Buddings has this

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Speaker 2: philosophy that basically most dogs are actually well behaved. If

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Speaker 2: you're going to bring them into a large place like bunings,

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Speaker 2: most people do the right thing and it's very rare.

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Speaker 2: And if they do have an accident, well they have

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Speaker 2: clean up crews and that you can get a dog

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Speaker 2: bag and clean clean up after them. So they just

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Speaker 2: take that approach. But there it was so vehement, and

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Speaker 2: it's not so much the topic of whether you should

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Speaker 2: or shouldn't take dogs into places like buntings, because if

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Speaker 2: you go to Europe, you can take your dog anywhere.

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Speaker 2: You can go to a restaurant and if your dog's

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Speaker 2: well behaved, sits on the ground. You had a really

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Speaker 2: nice restaurant that in Vienna. It was amazing, a really

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Speaker 2: high class restaurant, and the people we were meeting had

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Speaker 2: a dog and it was fantastic. And because I like

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Speaker 2: to take my dog with me, then there's the idea

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Speaker 2: of companion dogs or support dogs. But what got me

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Speaker 2: more so it wasn't so much the debate but the

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Speaker 2: anger and just the fiery tension between the respondents. You know,

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Speaker 2: you've got the yes side the no side, but the

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Speaker 2: personal digs were people were making at each other.

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Speaker 3: So what causes that frenzy? And it does?

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Speaker 2: I mean you've probably seen those sorts of threads or

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Speaker 2: those comments or reactions on socials where people just get

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Speaker 2: so irate. And then it made me think, well, I

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Speaker 2: was going to respond because as you know, I'm a

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Speaker 2: passionate dog owner. Fritzy sitting right next to me in

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Speaker 2: my chair. But the reality of it is I started

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Speaker 2: to type and I thought, what am I going to

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Speaker 2: achieve by having to go at this person for saying

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Speaker 2: what they did or you know, trying to exercise my opinion?

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Speaker 3: And I just pulled back from it.

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Speaker 2: I deleted the message and I thought, I just don't

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Speaker 2: want to engage people.

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Speaker 1: I mean, yeah, maybe because you don't do social media,

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Speaker 1: Tiff and I are going, yeah, of course, Patrick, this

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Speaker 1: is what social media like. This is not I don't

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Speaker 1: mean to be rude. This is no revelation at all.

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Speaker 1: Like this is all day, every day on social media.

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Speaker 1: It's interesting. But look, here's what I think. I mean,

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Speaker 1: it's a revelation and it's interesting for you, and it's

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Speaker 1: good for me to see that because I'm like, I'm

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Speaker 1: so used to that and desensitized to that, and that's

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Speaker 1: I'm like, well, of course, but here's what you did

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Speaker 1: that's great is you consciously went I'm not giving this

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Speaker 1: my attention or energy. And I think that's the like

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Speaker 1: the good and bad of social media is like I

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Speaker 1: have over one hundred thousand followers on social media and

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Speaker 1: I only put good things into the world, and ninety

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Speaker 1: nine percent of the feedback that I get is positive

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Speaker 1: ninety nine percent, So I think it depends like to

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Speaker 1: me ultimately, can you hear that ambulance you guys? No?

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Speaker 3: Right mate?

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Speaker 1: Yeah, no, pretty good?

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Speaker 3: It wasn't for you?

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Speaker 1: Yeah, no, thanks, yeah, you hang on, am I having

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Speaker 1: a heart noe? But I think, like, ultimately, what is

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Speaker 1: social media? It's a technology that we can use. It's

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Speaker 1: a resource and if you want to, you know, it's

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Speaker 1: like you can kill someone with a knife or make

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Speaker 1: your dinner with a knife. Like ultimately most of them

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Speaker 1: think most of the things that we have or kill

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Speaker 1: someone and then make them your dinner. Yeah, sure there's that,

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Speaker 1: but I wouldn't recommend it. But it's like all of

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Speaker 1: these things are just tools and resources. So I don't

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Speaker 1: know that social media is arbitrarily bad or that it's

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Speaker 1: all vomit. I don't think the stuff I put into

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Speaker 1: the world via social media, I'm using the same platforms

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Speaker 1: that all the hate is on, but I choose to

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Speaker 1: put positive stuff. So I think it's personal responsibility. I

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Speaker 1: don't follow any of the horrible, ugly, you know, bullshitty ones,

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Speaker 1: and if it comes, something comes, I just scroll past

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Speaker 1: or I delete it. I think it's about using it consciously.

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Speaker 1: But you do raise a good point, like so much

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Speaker 1: of what is on there is fucking horrible, but you've

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Speaker 1: got to self regulate.

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Speaker 2: I was more thinking also in terms of whether you

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Speaker 2: engage or not, and I almost did, and then I

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Speaker 2: really stepped back from it.

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Speaker 3: I thought it through. It's funny.

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Speaker 2: I a friend of mine was, you know when you

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Speaker 2: send when someone sends an angry letter, they called it

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Speaker 2: a shitt agram.

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Speaker 3: I just really hit a gram fun it's funny. Yeah,

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Speaker 3: I thought that was quite funny.

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Speaker 2: But the problem with putting anything in writing is that

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Speaker 2: if you get angry in writing, you can I can

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Speaker 2: get angry with you right now, and then we'll shake

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Speaker 2: hands about it, and you know, buy each other a

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Speaker 2: coffee and we'll be fine. But if you put it

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Speaker 2: in writing, then you go back to it two days

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Speaker 2: later and you reread it and just as angry as

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Speaker 2: you were the first time you read it, and then

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Speaker 2: again and you get more angry, and you read it again,

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Speaker 2: and it keeps firing you up. And we have a

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Speaker 2: little internal policy in my office that if you feel

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Speaker 2: riled and you're going to send a challenging email, you

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Speaker 2: never put the email address in to the person you're

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Speaker 2: either responding to. So if you hit reply, take their

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Speaker 2: email address out, get it out on paper if you

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Speaker 2: feel you need to, or type it up or whatever.

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Speaker 2: But generally, if you walk away ten spend five minutes

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Speaker 2: and then come back to it it Actually you've calmed down.

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Speaker 2: I mean my heart rate dropped down to fifty two

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Speaker 2: just a moment ago. So whatever it was that was

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Speaker 2: riled me up that not you know, the thought of

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Speaker 2: your shirt coming off or something.

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Speaker 3: I don't know, but you.

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Speaker 1: Know, I mean, yeah, like what this is getting off topic.

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Speaker 1: We'll get on tech, but this is my little wheelhouse.

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Speaker 1: You know. It's like everyone thinks they're right. Yeah, Like,

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Speaker 1: this is the thing, whatever side you're on, religious, political,

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Speaker 1: whatever the issue, whatever the topic. Nobody who's writing that thing,

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Speaker 1: whatever angle or approach or perspective they have, nobody thinks

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Speaker 1: they're wrong. And this is the problem, you know, Like

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Speaker 1: I now, after getting things wrong, something's wrong and something's right.

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Speaker 1: For sixty years, I pretty much assume that anything that

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Speaker 1: I say, there's the potential that I'm wrong about it,

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Speaker 1: you know, or anything for which I don't have absolute

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Speaker 1: evidence or proof, Like if it's an opinion or an

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Speaker 1: idea or a theory, I'm well aware that I could

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Speaker 1: be wrong, and so I try not to wrap too

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Speaker 1: much emotion around it and go, look, this is what

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Speaker 1: I think, and this is why I think it. But

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Speaker 1: I could be wrong. You know, I think like a

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Speaker 1: world where people don't have to be right all the time.

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Speaker 1: We're never going to live in that world. But fuck,

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Speaker 1: that'd be a nicer place to inhabit, wouldn't it.

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Speaker 3: But isn't it interesting?

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Speaker 2: Though? We were talking about your thesis, and the whole

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Speaker 2: premise of sign is that you challenge, You always put

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Speaker 2: up and propose new ideas, and nothing is ever definitely,

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Speaker 2: infinitely written in stone as such, is it?

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Speaker 1: YEA, Yeah, that's true. I mean science is always evolving,

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Speaker 1: and knowledge is always evolving, and the way that we

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Speaker 1: design studies and run studies and interpret data, and I think, look,

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Speaker 1: it depends on the science. You know, when you talk

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Speaker 1: about biology and physiology and engineering and all of those things,

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Speaker 1: they're like hard sciences, whereas psychology is ah and I

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Speaker 1: love psychology, but it's very It's hard to measure the

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Speaker 1: mind because there is no such thing as onto logically,

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Speaker 1: which means there's no actual evidence for a mind. But

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Speaker 1: we're studying the mind and the workings of the mind

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Speaker 1: because all of the kind of processing actually happens in

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Speaker 1: the brain. So when you do it, even if I

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Speaker 1: said this yes on a podcast, but if you do

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Speaker 1: a search. If you go to any AI thing and

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Speaker 1: say is there evidence Is there scientific, hard evidence that

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Speaker 1: the mind exists, it'll say no, because all thinking and

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Speaker 1: all data processing and all interpretation actually happens in the brain.

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Speaker 1: So the mind, as we understand it, it's a concept

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Speaker 1: that helps us decode the workings of the brain. And

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Speaker 1: it's not a bad thing. But yeah, anyway, come.

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Speaker 3: On, all right.

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Speaker 2: I heard a new term the other day, digital shoplifting,

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Speaker 2: and it kind of blew my mind a little bit.

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Speaker 3: I hadn't ever thought about this.

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Speaker 2: So there was a bit of a research study that

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Speaker 2: was done and it was about a lot of wealthy

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Speaker 2: gen zs and millennials.

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Speaker 3: This is in the US, and evidently.

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Speaker 2: Half of them, who were earning over one hundred thousand

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Speaker 2: dollars US, have admitted to digital shoplifting.

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Speaker 3: What's digital shoplifting? You ask, think, yes, yeah.

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Speaker 1: Yes, what Patrick, Hey, I have a question? What's digital shoplifting?

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Speaker 3: I'm glad you asked, Craig.

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Speaker 2: So, what happens is if you go online and you

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Speaker 2: make a purchase and that item arrives, you then go

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Speaker 2: back to the seller and say item didn't arrive, item

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Speaker 2: was broken, item got lost, and then in a lot

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Speaker 2: of cases, the online resellers will basically do you a

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Speaker 2: refund or send you another item. So it's people being

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Speaker 2: deceptive and there's not a lot of recourse. This is

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Speaker 2: really interesting because if I walked into a shop.

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Speaker 1: And I feel like we shouldn't be sharing this information,

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Speaker 1: I feel like you're encouraging bad behavior because.

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Speaker 3: We've got the best listeners. Ever, no one's going to

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Speaker 3: do that.

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Speaker 1: There's a few dodgy motherfuckers that listen. Don't worry about that.

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Speaker 1: You know who you are.

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Speaker 2: So anyway, so Craig is going to go out and

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Speaker 2: buy a new motorbike tomorrow exactly. So it would never

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Speaker 2: have occurred to me, Am I just like naive or something.

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Speaker 2: But they say half half of these people will earn

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Speaker 2: over one hundred thousand US. That's probably nearly two hundred

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Speaker 2: thousand Australian. And in fact, I think the Australian dollars dropped again, so.

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Speaker 1: I think it's a million Australian, it's ten million Australian.

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Speaker 2: Yeah, but isn't that interesting? Do you think it's a mindset?

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Speaker 2: I don't know how you could kind of, you know,

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Speaker 2: kind of define this. And also how you could justify

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Speaker 2: it because I think one of the problems when you

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Speaker 2: order online, you're not seeing the shopkeeper. You know, if

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Speaker 2: I walk into someone's store and the owner of the

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Speaker 2: store standing right there, it's going to be really hard

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Speaker 2: to steal from somebody who's a person, who's someone you

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Speaker 2: can relate to, who's working hard, who's packing boxes, and

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Speaker 2: you know, and there's obviously obviously making.

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Speaker 3: A living out of what they're doing.

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Speaker 2: But that whole fire wall that break, you know, the

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Speaker 2: digital divide between you and the other person, whether it's

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Speaker 2: social media and making a I meant to another person's

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Speaker 2: name and not actually seeing them in public. Because when

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Speaker 2: we were talking about social media a moment ago, a

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Speaker 2: lot of what people say they probably wouldn't say to

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Speaker 2: their face if you were standing in a room together,

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Speaker 2: or certainly the you know, the dialogue wouldn't be as

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Speaker 2: heated because you have an opportunity to be able to

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Speaker 2: interact with the person, and it's that you're introducing the

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Speaker 2: personality and the humanity of the person.

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Speaker 3: And I guess in the same way because.

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Speaker 2: People you know, and I know we're kind of targeting

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Speaker 2: Gen zs and millennials, but the reality of it is

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Speaker 2: anybody can do this online, and I think there is

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Speaker 2: a separation. If it's on Amazon, it's like this big company.

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Speaker 2: I can justify myself.

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Speaker 1: So, yeah, you make a very good point. And I

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Speaker 1: think that, yeah, because it's it's like there's nothing really personal,

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Speaker 1: there's no emotional you're not seeing another human, you're not

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Speaker 1: interacting with another human. Typically. Yeah, look, I I think.

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Speaker 1: I mean, I've owned lots of businesses and some you know,

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Speaker 1: I've had people steal from me a lot and people

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Speaker 1: you wouldn't think, Yeah, so I don't have and it

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Speaker 1: sounds cynical and negative. I'm not trying to be. But

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Speaker 1: my experience is that people, even people close to you,

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Speaker 1: will steal if they think they can steal and get

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Speaker 1: away with it, which people are going to say, I

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Speaker 1: can't believe you would say it's very negative.

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Speaker 3: It's not.

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Speaker 1: No, I'm literally just reporting what has happened. I have

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Speaker 1: a quick story, right, and it's about who would steal

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Speaker 1: and like trust And you think, so I went to

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Speaker 1: I went away to do a gig and I was

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Speaker 1: staying in a staying in New Zealand, and I trained

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Speaker 1: at this big, amazing gym and I had a bunch

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Speaker 1: of stuff. I've think.

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Speaker 2: Can I just say something before you go on? We

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Speaker 2: actually have spoken about this that's wrong with the cameras

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Speaker 2: and the guyings. I apologize sorry listeners, Yeah, go back

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Speaker 2: to a previous episode because it was it's actually a

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Speaker 2: really good story.

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Speaker 3: But short of it is that new camera.

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Speaker 1: Anyway, Sorry that they thought they could anyway, he thought

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Speaker 1: one or two of his staff was stealing, and the

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Speaker 1: bottom line was they were nearly all stealing, all of them. Yeah,

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Speaker 1: you know, even like friends and shit. So given the

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Speaker 1: opportunity to steal, I think sometimes and I think also

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Speaker 1: when stuff like you're talking about, maybe they don't. I

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Speaker 1: think they don't even think of that as stealing. Yeah,

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Speaker 1: it's like they would never think I'm a thief, but

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Speaker 1: it's literally stealing.

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Speaker 3: Yeah. I think the only thing you can steal Crago

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Speaker 3: is your heart.

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Speaker 1: Oh god, no, no, you can definitely steal money. I'm

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Speaker 1: interested in cars. Of course, as you know, Tesla is

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Speaker 1: not going great in Australia at the moment.

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Speaker 2: Oh look, there's always a slump at the start of

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Speaker 2: the year, so there's always a bit of a glitch

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Speaker 2: in the car market, particularly with Tesla. So there's always

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Speaker 2: been this traditional drop, but it's been bigger than usual.

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Speaker 2: And look, a lot of people are putting it down

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Speaker 2: to the whole tech bro thing with the election in

402
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Speaker 2: the US, and there's been a real shift away from

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Speaker 2: Elon Musk. And he's forever connected with the Tesla company.

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Speaker 2: So when you buy a Tesla, I guess there's a

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Speaker 2: real sense that there's that close connection to Elon Musk.

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Speaker 3: It's his company, and you know, there's been.

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Speaker 2: I guess, a real kickback to the way that Elon

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Speaker 2: Musk has presented himself his alignment with Donald Trump. And

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Speaker 2: they're really saying now that that's been like we're talking

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Speaker 2: a drop of sixty percent below the same time last year.

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Speaker 3: It's a massive slump in the market.

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Speaker 2: I think they only sold about five hundred cars this

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Speaker 2: month or something last month, so it's been a big drop.

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Speaker 2: And I did a bit of a search because I

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Speaker 2: don't know if you've seen the bumper stickers on some

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Speaker 2: Tesla's now people are putting bumper stickers on their car

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Speaker 2: saying I bought this before we knew I was crazy.

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Speaker 2: It's like a disclaimer and I have I saw one

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Speaker 2: on the gar and Mel that where someone was driving

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Speaker 2: a Tesla and.

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Speaker 3: There was a story somewhere.

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Speaker 2: It might might have been in the US where a

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Speaker 2: guy had bought a Tesla and then he returned it

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Speaker 2: and said I don't want it anymore. I mean, it's

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Speaker 2: pretty extreme, but I thought that was really interesting that that,

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Speaker 2: you know, you can have such a negative impact just

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Speaker 2: by the way you're presented, and that could you know,

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Speaker 2: mean well impact on the car.

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Speaker 1: I don't know. I don't know, because I don't know

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Speaker 1: that correlation is causation. Like also, what's happened in the

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Speaker 1: last year or two in Australia is a massive influx

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Speaker 1: of other electric cars, like yeah, yeah, like byd who

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Speaker 1: basically have a car which is as good or better

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Speaker 1: than a Tesla three for about twenty grand cheaper. So

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Speaker 1: you could be right, But I don't know. The fact

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Speaker 1: that some people think that Elon's crazy and the numbers

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Speaker 1: are down, I don't know that like that that is

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Speaker 1: the cause. It could be, but I think it's more

439
00:22:05,560 --> 00:22:09,320
Speaker 1: nuanced than that. I mean, there are huge amount you know,

440
00:22:09,400 --> 00:22:13,000
Speaker 1: when Tesla was stand alone, they had no competition, and

441
00:22:13,040 --> 00:22:15,679
Speaker 1: now in Australia and all around the world, there's vast

442
00:22:15,720 --> 00:22:20,760
Speaker 1: competition from lots of other brands who are producing more

443
00:22:20,840 --> 00:22:27,119
Speaker 1: and more incredible cars for significantly less, and some of

444
00:22:27,160 --> 00:22:29,760
Speaker 1: them with up to ten year warranties like.

445
00:22:30,160 --> 00:22:33,719
Speaker 3: But the article I did take that into consideration.

446
00:22:33,880 --> 00:22:36,439
Speaker 2: They did show and they talked about the Australian market

447
00:22:36,480 --> 00:22:39,520
Speaker 2: having a slump in terms of Tesla sales now that

448
00:22:39,560 --> 00:22:43,399
Speaker 2: we're getting flooded with Chinese car makers, But that was

449
00:22:43,480 --> 00:22:46,320
Speaker 2: taken into account. So even when you look at the

450
00:22:46,359 --> 00:22:50,560
Speaker 2: trajectory of the ev market starting to get a real

451
00:22:50,640 --> 00:22:54,439
Speaker 2: momentum with Chinese cars, that still didn't account for the

452
00:22:54,440 --> 00:22:58,280
Speaker 2: bigger drop than usual in January of those sales. So

453
00:22:58,400 --> 00:22:59,639
Speaker 2: I think it plays a little bit of a part.

454
00:22:59,680 --> 00:23:03,280
Speaker 2: But you're absolutely right, it's amazing what the influx of

455
00:23:03,359 --> 00:23:06,560
Speaker 2: Chinese cars on the market are reasonable prices because previously,

456
00:23:06,720 --> 00:23:08,880
Speaker 2: you know, three years ago, I bought my hybrid car,

457
00:23:09,400 --> 00:23:12,680
Speaker 2: but I probably would have now.

458
00:23:12,600 --> 00:23:14,440
Speaker 3: In hindsight, probably would have bought an electric.

459
00:23:14,800 --> 00:23:17,840
Speaker 2: And this is an interesting one too, because a lot

460
00:23:17,880 --> 00:23:20,400
Speaker 2: of people are resistant to the idea of getting electric

461
00:23:20,440 --> 00:23:23,080
Speaker 2: because there's this notion that they don't last as long.

462
00:23:23,440 --> 00:23:25,800
Speaker 2: And a little bit of research that came out recently

463
00:23:25,880 --> 00:23:28,600
Speaker 2: was saying that the average electric car will have an

464
00:23:28,640 --> 00:23:31,199
Speaker 2: eighteen year life span, which is not dissimilar to the

465
00:23:31,200 --> 00:23:35,119
Speaker 2: most petrol cars as well, So in terms of longevity

466
00:23:35,119 --> 00:23:37,840
Speaker 2: of the vehicle, it's not that much. The only real

467
00:23:37,880 --> 00:23:39,760
Speaker 2: hindrance I think for a lot of people is the

468
00:23:39,840 --> 00:23:43,200
Speaker 2: charging time. It's getting better, so there are more cars,

469
00:23:43,440 --> 00:23:45,320
Speaker 2: and you're talking about the Chinese cars. There are some

470
00:23:45,480 --> 00:23:48,679
Speaker 2: that can almost go to full charge in twenty minutes.

471
00:23:48,920 --> 00:23:50,480
Speaker 2: But then again, I'm not going to stand at a

472
00:23:50,480 --> 00:23:52,240
Speaker 2: petrol bowser for twenty minutes.

473
00:23:51,920 --> 00:23:58,200
Speaker 1: To you, No, no, I'm definitely not. No, I've joined

474
00:23:58,200 --> 00:24:03,280
Speaker 1: the hybrid clan like you. It's fucking ridiculous. My car

475
00:24:03,359 --> 00:24:08,000
Speaker 1: gets twelve hundred kilometers on it on a tank. Yeah,

476
00:24:08,359 --> 00:24:13,080
Speaker 1: that's so ridiculous. Like it goes so far, like you

477
00:24:13,080 --> 00:24:17,080
Speaker 1: could drive from Melbourne to Sydney and halfway back. Yeah,

478
00:24:17,320 --> 00:24:18,120
Speaker 1: super efficient.

479
00:24:18,560 --> 00:24:21,119
Speaker 2: Yeah, now that that's pretty amazing stuff. Mike, car certainly

480
00:24:21,119 --> 00:24:22,880
Speaker 2: hasn't got that sort of range, but it's pretty good.

481
00:24:23,040 --> 00:24:26,960
Speaker 2: Seven hundred kilometers is more than most electric cars out

482
00:24:27,000 --> 00:24:29,480
Speaker 2: on the road. It's probably, you know, in the ninety

483
00:24:29,480 --> 00:24:32,160
Speaker 2: fifth percentile. There's no chance that an electric are at

484
00:24:32,160 --> 00:24:34,080
Speaker 2: this stage just going to have that sort of that

485
00:24:34,200 --> 00:24:36,840
Speaker 2: sort of range. And as you say, if I wanted

486
00:24:36,840 --> 00:24:39,960
Speaker 2: to drive to Adelaide, no problem, and if I want

487
00:24:40,000 --> 00:24:42,160
Speaker 2: to stop, you know, I can fill up the tank

488
00:24:42,200 --> 00:24:43,280
Speaker 2: and a how long does it take to fill up

489
00:24:43,320 --> 00:24:43,640
Speaker 2: the tank?

490
00:24:43,880 --> 00:24:45,480
Speaker 3: You know, I don't know, a few minutes and you're

491
00:24:45,520 --> 00:24:46,840
Speaker 3: off and running again. So to speak.

492
00:24:47,280 --> 00:24:50,200
Speaker 1: I reckon right now with just an opinion, I reckon

493
00:24:50,280 --> 00:24:53,520
Speaker 1: hybrid is the I think that's the best option at

494
00:24:53,520 --> 00:24:56,240
Speaker 1: the moment. I think moving forward that will probably change.

495
00:24:56,280 --> 00:25:03,760
Speaker 1: But speaking of cars, tell me about the self fixing

496
00:25:04,000 --> 00:25:07,920
Speaker 1: pothole mechanism or I can't see it, but I read

497
00:25:07,960 --> 00:25:08,439
Speaker 1: it before.

498
00:25:09,600 --> 00:25:10,440
Speaker 3: How cool is this?

499
00:25:10,440 --> 00:25:13,320
Speaker 1: This is some recently there we go self healing road.

500
00:25:13,800 --> 00:25:16,800
Speaker 2: I know, I started reading into this and it kind

501
00:25:16,800 --> 00:25:21,160
Speaker 2: of is almost creepy at the same time. So in Swansea,

502
00:25:21,280 --> 00:25:24,360
Speaker 2: right at the university there, what they're trying to do

503
00:25:24,720 --> 00:25:29,359
Speaker 2: is in bed tiny plant spores mixed into the bitchumen

504
00:25:29,800 --> 00:25:32,720
Speaker 2: and they say to'll extend the life span of bitchmen

505
00:25:32,760 --> 00:25:33,399
Speaker 2: by thirty percent.

506
00:25:33,400 --> 00:25:35,800
Speaker 3: Because what happens is you get cracks in the.

507
00:25:35,800 --> 00:25:38,000
Speaker 2: Road and then they fill with water, and when the

508
00:25:38,040 --> 00:25:41,120
Speaker 2: water gets into the cracks, that causes pockets of water.

509
00:25:41,160 --> 00:25:42,520
Speaker 3: And that's what breaks down the bitchumen.

510
00:25:42,800 --> 00:25:46,160
Speaker 2: But what they're saying is with the plant spores, once

511
00:25:46,200 --> 00:25:50,280
Speaker 2: a crack appears, the spores then enlarge and fill up

512
00:25:50,359 --> 00:25:53,280
Speaker 2: the hole, so you don't get water into the potholes.

513
00:25:53,560 --> 00:25:56,439
Speaker 2: So it means that you'll get less potholes, so in

514
00:25:56,480 --> 00:25:57,760
Speaker 2: a way, it is self healing.

515
00:25:57,880 --> 00:25:59,920
Speaker 3: It's really cool tech, isn't it?

516
00:26:00,160 --> 00:26:01,959
Speaker 1: And smart?

517
00:26:02,760 --> 00:26:06,400
Speaker 3: Yeah, isn't that great? And I thought, how interesting is that?

518
00:26:06,800 --> 00:26:10,080
Speaker 2: So you know, using that biotech and the other thing too,

519
00:26:10,119 --> 00:26:12,719
Speaker 2: of course, because bitchumin is petrochemical, isn't it.

520
00:26:13,400 --> 00:26:13,600
Speaker 1: Yeah?

521
00:26:13,920 --> 00:26:16,840
Speaker 2: Yeah, whereas you know, using plant spores. I mean, I

522
00:26:16,880 --> 00:26:19,840
Speaker 2: know it's not going to replace bitjumen, but certainly I

523
00:26:19,840 --> 00:26:21,320
Speaker 2: thought it was an amazing concept.

524
00:26:21,480 --> 00:26:22,280
Speaker 3: I love how.

525
00:26:22,160 --> 00:26:24,560
Speaker 2: People come up with these ideas. Where would that in

526
00:26:25,280 --> 00:26:29,080
Speaker 2: your wildest dream would you even have conceived of that

527
00:26:29,280 --> 00:26:32,080
Speaker 2: of a way to extend the life of bitchumen by

528
00:26:32,119 --> 00:26:33,480
Speaker 2: putting sports.

529
00:26:33,720 --> 00:26:36,320
Speaker 1: I can barely time my fucking shoes, so don't I mean,

530
00:26:36,400 --> 00:26:41,960
Speaker 1: don't look to me for anything innovative. So the thing

531
00:26:42,080 --> 00:26:44,480
Speaker 1: I was going to say that the term on everybody's lips,

532
00:26:44,560 --> 00:26:46,679
Speaker 1: but that's not true. But the thing that's taken a

533
00:26:46,680 --> 00:26:50,680
Speaker 1: lot of people's attention or curiosity over the last few

534
00:26:50,720 --> 00:26:54,119
Speaker 1: weeks is a thing called deep Seek. I know what

535
00:26:54,200 --> 00:26:56,679
Speaker 1: it is. Maybe some of our listeners don't know what

536
00:26:56,800 --> 00:26:59,640
Speaker 1: it is, but what's the story around that? Firstly, tell

537
00:26:59,640 --> 00:27:01,679
Speaker 1: our list is what it is and what's going on

538
00:27:01,720 --> 00:27:01,960
Speaker 1: with that?

539
00:27:02,720 --> 00:27:06,280
Speaker 2: Wow, this is so controversial versual. So deep Seek I

540
00:27:06,359 --> 00:27:08,800
Speaker 2: think it came out in about November last year and

541
00:27:09,040 --> 00:27:10,760
Speaker 2: it was a bit of it kind of sat around

542
00:27:10,840 --> 00:27:14,720
Speaker 2: for a little bit. It's a Chinese AI, the equivalent

543
00:27:14,800 --> 00:27:18,600
Speaker 2: of chat GPT. Now what's caused the biggest stir is

544
00:27:19,119 --> 00:27:23,320
Speaker 2: the amount of money they claim to make. Deep Seek

545
00:27:23,760 --> 00:27:25,960
Speaker 2: was actually a lot less. I mean we're talking a

546
00:27:26,040 --> 00:27:29,320
Speaker 2: fraction fraction fraction of the cost because at the moment

547
00:27:29,760 --> 00:27:33,560
Speaker 2: to make an AI, you need to use in Video chips. Now,

548
00:27:33,560 --> 00:27:37,360
Speaker 2: in Video is the company that manufactures the best quality

549
00:27:37,760 --> 00:27:41,600
Speaker 2: chips in the world microchips, and they are the most

550
00:27:41,760 --> 00:27:44,359
Speaker 2: wealthy company in the world in terms of how much

551
00:27:44,640 --> 00:27:48,240
Speaker 2: their company is worth. So when this and then what

552
00:27:48,400 --> 00:27:51,679
Speaker 2: the American government was doing was restricting the sale of

553
00:27:51,720 --> 00:27:55,480
Speaker 2: in Vidia chips to China to prevent China from developing

554
00:27:55,560 --> 00:28:00,239
Speaker 2: your Chinese companies from developing their own AI. And this

555
00:28:00,280 --> 00:28:02,320
Speaker 2: is kind of cool in a little way. The guy

556
00:28:02,320 --> 00:28:06,719
Speaker 2: who's behind this new AI, the Chinese AI, actually studied

557
00:28:06,720 --> 00:28:09,280
Speaker 2: in Australia, so there's a little kind of local link

558
00:28:09,320 --> 00:28:11,520
Speaker 2: for us as well. I think he started in Melbourne. Yeah,

559
00:28:11,920 --> 00:28:18,000
Speaker 2: so effectively, this amazing deep Seak comes out. It's cheaper

560
00:28:18,240 --> 00:28:21,480
Speaker 2: and they've used old chips, so they haven't gone for

561
00:28:21,560 --> 00:28:23,879
Speaker 2: the new stuff. They haven't been able to purchase it

562
00:28:23,960 --> 00:28:26,400
Speaker 2: or get access to it. So they've managed to do

563
00:28:26,880 --> 00:28:30,439
Speaker 2: what no one else could possibly have envisaged they could do.

564
00:28:30,560 --> 00:28:32,960
Speaker 2: So everyone said, you can't do it, you can't build

565
00:28:32,960 --> 00:28:37,120
Speaker 2: an AI platform that's powerful using old chips, and they

566
00:28:37,160 --> 00:28:39,239
Speaker 2: did it. And this is what they're claiming that they

567
00:28:39,240 --> 00:28:41,880
Speaker 2: were able to do. And so they've released deep Seek

568
00:28:42,040 --> 00:28:44,760
Speaker 2: and I think what made the momentum and suddenly it

569
00:28:44,840 --> 00:28:48,640
Speaker 2: hit the media is it peaked in the downloads for phones,

570
00:28:48,680 --> 00:28:52,400
Speaker 2: so in the app stores suddenly, all because it was

571
00:28:52,560 --> 00:28:54,920
Speaker 2: November last year or so that it got launched and

572
00:28:54,960 --> 00:28:57,200
Speaker 2: no one thought about it, no one said anything, and

573
00:28:57,200 --> 00:28:59,120
Speaker 2: then all of a sudden, it's just peaking with all

574
00:28:59,120 --> 00:29:02,640
Speaker 2: these downloads. But on the end of this, the company

575
00:29:02,640 --> 00:29:08,080
Speaker 2: in video, their stocks plummeted once this came out because really, oh,

576
00:29:08,200 --> 00:29:11,080
Speaker 2: I mean it wiped billions of dollars off their share market.

577
00:29:11,160 --> 00:29:14,560
Speaker 2: I mean it's since climbed its way back and now

578
00:29:14,640 --> 00:29:18,440
Speaker 2: there's kind of these protectionist methods. The Australian government government

579
00:29:18,480 --> 00:29:21,520
Speaker 2: came out this week and said no one working in

580
00:29:21,600 --> 00:29:24,680
Speaker 2: government is allowed to have Deep seek on their phones,

581
00:29:24,720 --> 00:29:28,160
Speaker 2: on government phones, on government computers. Other countries are doing

582
00:29:28,200 --> 00:29:31,200
Speaker 2: the same thing because what they're suggesting is because it's

583
00:29:31,200 --> 00:29:34,959
Speaker 2: a Chinese company, it's also a backdoor for all the

584
00:29:35,000 --> 00:29:38,800
Speaker 2: information on your device to go back to Beijing. There's

585
00:29:38,840 --> 00:29:42,160
Speaker 2: this real paranoia and look, I don't know, I can't

586
00:29:42,160 --> 00:29:44,200
Speaker 2: say yes or no. I'm not a tech person in

587
00:29:44,280 --> 00:29:47,400
Speaker 2: terms of the back end technology, but there's a real

588
00:29:47,560 --> 00:29:52,280
Speaker 2: fear with the Chinese tech and Chinese AI that some

589
00:29:52,360 --> 00:29:55,200
Speaker 2: of this is actually going to go back. So the

590
00:29:55,200 --> 00:29:57,560
Speaker 2: information you're putting in there, the device that you're using

591
00:29:57,600 --> 00:30:01,640
Speaker 2: potentially may have and this is proven, but it may

592
00:30:01,800 --> 00:30:05,760
Speaker 2: have a backdoor that's sending your information to Beijing. Because

593
00:30:06,120 --> 00:30:10,520
Speaker 2: we know that the regime in China has quite rigid

594
00:30:10,600 --> 00:30:16,120
Speaker 2: constraints on tech companies, because the oversight is very different

595
00:30:16,280 --> 00:30:19,960
Speaker 2: in China, the landscape there, the monitoring, the requirements so

596
00:30:20,320 --> 00:30:23,080
Speaker 2: we really don't know what goes on. China is a

597
00:30:23,280 --> 00:30:27,720
Speaker 2: very fascinating country. It's you know, there's so much interest

598
00:30:27,800 --> 00:30:30,920
Speaker 2: around China, and as you know with my Tai Chi,

599
00:30:31,000 --> 00:30:33,680
Speaker 2: I love the culture and I love that side of it.

600
00:30:34,080 --> 00:30:36,360
Speaker 2: But there's still you know, when you think about the

601
00:30:36,360 --> 00:30:40,360
Speaker 2: regime that's running the country and the oversight that's there,

602
00:30:40,840 --> 00:30:43,600
Speaker 2: it asks all the questions and it begs the questions

603
00:30:44,000 --> 00:30:47,040
Speaker 2: what happens with these products that are launched by supposedly

604
00:30:47,120 --> 00:30:51,120
Speaker 2: independent companies and how much oversight is there by Beijing

605
00:30:51,160 --> 00:30:53,880
Speaker 2: and how many requirements are there for that data to

606
00:30:53,920 --> 00:30:55,320
Speaker 2: be given back to Beijing.

607
00:30:56,120 --> 00:30:58,760
Speaker 1: Well I'm not nervous at all. Now, thanks for that, noble.

608
00:31:00,520 --> 00:31:02,680
Speaker 1: I'll tell you there's quite a bit of Ai stuff.

609
00:31:02,760 --> 00:31:05,200
Speaker 2: Tell me what ghost say one think now before you

610
00:31:05,240 --> 00:31:09,280
Speaker 2: do about deep deep Seek. This is the creepiest and

611
00:31:09,360 --> 00:31:11,760
Speaker 2: weirdest little article I read a couple of weeks ago,

612
00:31:11,800 --> 00:31:13,640
Speaker 2: so I'm just kind of rejigged in my head. But

613
00:31:14,400 --> 00:31:17,600
Speaker 2: what they found someone was doing some searches and they

614
00:31:17,720 --> 00:31:21,920
Speaker 2: found that what deep Seek was doing was merging English

615
00:31:22,000 --> 00:31:25,440
Speaker 2: and Chinese. So I don't know if you've known people

616
00:31:25,480 --> 00:31:29,240
Speaker 2: who speak multi who are multilingual right. So in fact,

617
00:31:29,240 --> 00:31:31,680
Speaker 2: actually you met some friends of mine the other day

618
00:31:31,680 --> 00:31:34,560
Speaker 2: at a cafe and there's Chris who appeared on the

619
00:31:34,600 --> 00:31:37,280
Speaker 2: show who when he was on work Experience, I made

620
00:31:37,360 --> 00:31:39,200
Speaker 2: him do all the work and the research and we

621
00:31:39,280 --> 00:31:44,560
Speaker 2: realized I was a fraud. And yeah, anyway, so exploiter

622
00:31:44,800 --> 00:31:49,840
Speaker 2: of you know, a young labor, labor not unlike China.

623
00:31:49,960 --> 00:31:51,840
Speaker 2: Let's say, well.

624
00:31:51,680 --> 00:31:54,720
Speaker 1: That's your bloody, that's your oriental influence.

625
00:31:55,960 --> 00:31:57,040
Speaker 3: Oriental influence.

626
00:31:57,080 --> 00:32:00,040
Speaker 1: Okay, I was trying to tye to the influence, I

627
00:32:00,040 --> 00:32:00,520
Speaker 1: should say.

628
00:32:02,800 --> 00:32:05,600
Speaker 2: Anyway, so when you meet people. What I loved about

629
00:32:05,600 --> 00:32:08,080
Speaker 2: so when Chris was growing up, his mother's German and

630
00:32:08,120 --> 00:32:11,080
Speaker 2: he's his father's Australian. And what they did when they

631
00:32:11,080 --> 00:32:13,520
Speaker 2: brought up the kids was they got them to learn

632
00:32:13,560 --> 00:32:14,240
Speaker 2: both languages.

633
00:32:14,280 --> 00:32:16,520
Speaker 3: So people who are multilingual.

634
00:32:16,120 --> 00:32:19,400
Speaker 2: Sometimes when you know, when we think, we think in English.

635
00:32:19,480 --> 00:32:22,479
Speaker 2: And what's always fascinated me is when people who are

636
00:32:22,520 --> 00:32:25,400
Speaker 2: able to really speak two languages or more than one language,

637
00:32:25,480 --> 00:32:27,960
Speaker 2: are able to switch the way that they can think

638
00:32:28,240 --> 00:32:31,000
Speaker 2: and be able to think in a different language. But

639
00:32:31,120 --> 00:32:34,640
Speaker 2: what I find even more fascinating is I've had conversations

640
00:32:34,720 --> 00:32:37,160
Speaker 2: or I've seen Chris talking where he jumps from one

641
00:32:37,240 --> 00:32:41,280
Speaker 2: language to another. So some languages are more descriptive than others,

642
00:32:41,560 --> 00:32:44,080
Speaker 2: so sometimes you can answer. So you know the German

643
00:32:44,120 --> 00:32:48,160
Speaker 2: word schardenfreuder, I love because it basically means happiness at

644
00:32:48,160 --> 00:32:51,400
Speaker 2: the misfortune of others. It's a very funny word. But

645
00:32:52,440 --> 00:32:55,520
Speaker 2: the thing is there's no equivalent in English. So if

646
00:32:55,560 --> 00:32:57,960
Speaker 2: you have a sharden freud a moment or pardon me

647
00:32:58,040 --> 00:33:00,600
Speaker 2: sarten for it, a moment and someone you don't like

648
00:33:00,680 --> 00:33:02,640
Speaker 2: trips over in the gutto or something like that, and

649
00:33:02,680 --> 00:33:04,080
Speaker 2: you look over and you have a bit of a chuckle.

650
00:33:04,280 --> 00:33:06,480
Speaker 2: You don't cause them to fall over, but you laugh

651
00:33:06,480 --> 00:33:08,560
Speaker 2: at them because you don't really like them that much.

652
00:33:08,560 --> 00:33:11,440
Speaker 2: And something happened to them was bad karma, right, So

653
00:33:11,520 --> 00:33:14,240
Speaker 2: that's sharden freuder. So there's no English word. But what

654
00:33:14,400 --> 00:33:17,760
Speaker 2: happened I know this. I'm telling a very long story here, apologies.

655
00:33:18,080 --> 00:33:21,440
Speaker 2: So what happened was deep sex. You shut you shut

656
00:33:21,480 --> 00:33:24,640
Speaker 2: down my New Zealand story. They didn't shut it down.

657
00:33:24,680 --> 00:33:30,480
Speaker 2: I just put it on pause. So Deep Seek started

658
00:33:30,520 --> 00:33:33,760
Speaker 2: thinking in Chinese and English. And there's a real fear

659
00:33:33,840 --> 00:33:37,120
Speaker 2: now with people who look into this, that maybe AI

660
00:33:37,880 --> 00:33:42,320
Speaker 2: can develop its own language. If AI develops its own language,

661
00:33:42,360 --> 00:33:45,720
Speaker 2: which means it could think more quickly, then we won't

662
00:33:45,800 --> 00:33:49,880
Speaker 2: understand it. So when artificial intelligence is able to create

663
00:33:49,920 --> 00:33:52,400
Speaker 2: its own language and it's there, there's a potential there,

664
00:33:52,400 --> 00:33:55,280
Speaker 2: and that's what they saw with deep Seek, then potentially,

665
00:33:55,400 --> 00:33:58,360
Speaker 2: if it's creating its own language, we're locked out of

666
00:33:58,400 --> 00:34:01,680
Speaker 2: the equation. We no longer can understand the way it's thinking.

667
00:34:02,600 --> 00:34:06,600
Speaker 1: Of course, I fuck yes at one hundred percent, like

668
00:34:07,360 --> 00:34:10,840
Speaker 1: that shit is about twelve months away from being sentient,

669
00:34:11,280 --> 00:34:16,200
Speaker 1: from being conscious, from having like people think I'm being funny. No,

670
00:34:16,960 --> 00:34:21,160
Speaker 1: like AI will have its own version of consciousness and awareness,

671
00:34:21,920 --> 00:34:25,319
Speaker 1: and it will independently think in inverted commas and make

672
00:34:25,400 --> 00:34:31,080
Speaker 1: decisions because I mean everyone everyone who knows anything about AI,

673
00:34:31,200 --> 00:34:33,279
Speaker 1: as in the people that at the Gurus, they will

674
00:34:33,280 --> 00:34:36,360
Speaker 1: tell you that right now it's as smart as humans

675
00:34:36,440 --> 00:34:39,440
Speaker 1: or smarter obviously it's got a lot to draw on,

676
00:34:39,880 --> 00:34:42,760
Speaker 1: but that in the not too distant future, it will

677
00:34:43,000 --> 00:34:46,799
Speaker 1: like we will be relegated to the second smartest in

678
00:34:46,800 --> 00:34:49,800
Speaker 1: inverted commas species. And I know it's not a species,

679
00:34:49,840 --> 00:34:52,920
Speaker 1: but it is its own form of intelligence. And this

680
00:34:53,000 --> 00:34:59,640
Speaker 1: presents a whole raft of interesting ethical moral like conversations

681
00:34:59,680 --> 00:35:03,480
Speaker 1: around and what that what that impact because I think

682
00:35:03,600 --> 00:35:07,360
Speaker 1: most of us think that the technology for the most

683
00:35:07,400 --> 00:35:10,719
Speaker 1: part is a positive. I don't know about that. I

684
00:35:10,719 --> 00:35:13,239
Speaker 1: think definitely there are positives, but I think there's shit

685
00:35:13,320 --> 00:35:16,960
Speaker 1: that's going to happen that that maybe one day mankind,

686
00:35:17,560 --> 00:35:22,240
Speaker 1: sorry humankind, will go what the fuck? What the fuck

687
00:35:22,280 --> 00:35:23,040
Speaker 1: were we thinking?

688
00:35:23,480 --> 00:35:26,080
Speaker 2: You know, the thing I can see the application of

689
00:35:26,080 --> 00:35:29,319
Speaker 2: AI is amazing and the ability to be able to

690
00:35:29,400 --> 00:35:31,680
Speaker 2: do so many great things. And you said this earlier

691
00:35:31,680 --> 00:35:34,160
Speaker 2: in the show. You know, if you know you can

692
00:35:34,239 --> 00:35:36,520
Speaker 2: use a knife to cook with and then you can

693
00:35:36,600 --> 00:35:39,399
Speaker 2: use a knife to cause harm and exactly the same way.

694
00:35:39,400 --> 00:35:42,640
Speaker 3: That's how technology is being employed. You know, when it makes.

695
00:35:42,400 --> 00:35:45,120
Speaker 2: Our roads safer, when we can kind of detect if

696
00:35:45,160 --> 00:35:47,360
Speaker 2: a driver is about to fall asleep at the wheel,

697
00:35:47,520 --> 00:35:49,920
Speaker 2: you know, that could be one using an AI algorithm

698
00:35:50,080 --> 00:35:53,160
Speaker 2: with a camera pointing And this is available right now.

699
00:35:53,520 --> 00:35:54,880
Speaker 3: So I guess that's the concern.

700
00:35:55,080 --> 00:35:57,080
Speaker 2: You know, I don't know about you, but you know

701
00:35:57,160 --> 00:35:59,120
Speaker 2: you were you were referring to the concept of a

702
00:35:59,239 --> 00:36:04,920
Speaker 2: mind and if AI becomes sentient, then how do you

703
00:36:04,960 --> 00:36:08,160
Speaker 2: turn it off? Because is there an ethical aspect to it?

704
00:36:08,160 --> 00:36:11,120
Speaker 2: If you've got an entity that then is self aware,

705
00:36:11,719 --> 00:36:14,640
Speaker 2: Then where's an obligation on us not to turn it off?

706
00:36:14,680 --> 00:36:18,279
Speaker 2: Isn't there because you're effectively killing an AI or killing

707
00:36:18,280 --> 00:36:18,840
Speaker 2: an entity?

708
00:36:18,960 --> 00:36:19,399
Speaker 3: I don't know.

709
00:36:21,440 --> 00:36:25,160
Speaker 1: I mean, yeah, there are so many. I don't think

710
00:36:25,200 --> 00:36:28,239
Speaker 1: there's an easy answer to that, but it's fucking fascinating conversation.

711
00:36:28,560 --> 00:36:34,920
Speaker 1: Is it alive? Well, it does it have a nervous system.

712
00:36:35,000 --> 00:36:38,920
Speaker 1: Can it feel physical pain? No, you know, can it

713
00:36:38,960 --> 00:36:43,080
Speaker 1: feel emotional pain? Well, you wouldn't think it has emotions.

714
00:36:43,120 --> 00:36:46,960
Speaker 1: Could it simulate emotions, yes, I wouldn't think it can

715
00:36:47,040 --> 00:36:51,200
Speaker 1: have emotions. It definitely can't feel physical pain. It doesn't

716
00:36:51,239 --> 00:36:54,400
Speaker 1: have you know, spiritual people would say, well it doesn't

717
00:36:54,480 --> 00:36:57,040
Speaker 1: have a soul whatever that might or might not mean.

718
00:36:58,080 --> 00:37:03,640
Speaker 1: And I just think, you know, sometimes sometimes we've got

719
00:37:03,680 --> 00:37:06,360
Speaker 1: to be a little bit selfish and go fuck the

720
00:37:06,440 --> 00:37:10,920
Speaker 1: feelings of AI. Like we're talking about eight billion people

721
00:37:10,960 --> 00:37:14,120
Speaker 1: on a planet that we need to you know, you

722
00:37:14,120 --> 00:37:17,560
Speaker 1: don't want to wake up one one day, like humanity

723
00:37:17,600 --> 00:37:19,840
Speaker 1: doesn't want to wake up one day and the fucking

724
00:37:20,400 --> 00:37:23,000
Speaker 1: tech overlords are running the show, you know.

725
00:37:23,239 --> 00:37:25,360
Speaker 3: Eliminator Yeah, yeah.

726
00:37:25,239 --> 00:37:27,120
Speaker 1: I mean yeah, Hey.

727
00:37:27,520 --> 00:37:29,680
Speaker 2: What was the new Zealand story. What were we going

728
00:37:29,719 --> 00:37:32,440
Speaker 2: to say about New Zealand before? Then when I don

729
00:37:32,560 --> 00:37:35,279
Speaker 2: even starts, what do you mean I told you? I

730
00:37:35,360 --> 00:37:37,360
Speaker 2: told you, you said, you've told it before.

731
00:37:37,560 --> 00:37:39,880
Speaker 3: Oh, that one. You're going to say something else and

732
00:37:39,960 --> 00:37:40,320
Speaker 3: I catch you.

733
00:37:40,400 --> 00:37:43,600
Speaker 1: Oh, I definitely wasn't. I saw something that I wanted

734
00:37:43,600 --> 00:37:48,560
Speaker 1: to ask you about cultivated meat before you tell us

735
00:37:48,560 --> 00:37:52,319
Speaker 1: about that? Would you the vegan? Would you eat cultivated

736
00:37:52,360 --> 00:37:54,840
Speaker 1: meat because nothing's suffering and there's no pain.

737
00:37:55,480 --> 00:37:58,479
Speaker 2: No, because I think in the time. So I went

738
00:37:58,880 --> 00:38:03,160
Speaker 2: vegetarian initially for ten years and then became vegan for

739
00:38:03,200 --> 00:38:06,520
Speaker 2: the last four years. And what motivated me was obviously

740
00:38:06,600 --> 00:38:11,359
Speaker 2: animal cruelty initially, but I think as an extension of that,

741
00:38:11,880 --> 00:38:14,279
Speaker 2: I've now felt a little bit of a revulsion to

742
00:38:14,400 --> 00:38:18,200
Speaker 2: eating meat because there's a thought process about it coming

743
00:38:18,200 --> 00:38:21,840
Speaker 2: from an animal. So the concept of eating an animal product,

744
00:38:21,880 --> 00:38:24,400
Speaker 2: actually I find there's a bit of a barrier to that.

745
00:38:24,600 --> 00:38:26,759
Speaker 2: I'm doing a vegan cooking class tonight. By the way, Craig,

746
00:38:26,760 --> 00:38:27,920
Speaker 2: I thought you might be interested if you want to

747
00:38:27,920 --> 00:38:28,480
Speaker 2: come down.

748
00:38:28,800 --> 00:38:30,600
Speaker 1: As in your taking it or your partner.

749
00:38:30,719 --> 00:38:33,960
Speaker 2: No, No, I'm terrible. I'm an awful vegan. I can't I

750
00:38:34,080 --> 00:38:36,799
Speaker 2: come terrible cook? Now I'm going to a class to

751
00:38:36,880 --> 00:38:38,120
Speaker 2: learn how to cook better.

752
00:38:38,800 --> 00:38:40,520
Speaker 1: Look, I'll do my best to be then.

753
00:38:41,120 --> 00:38:42,120
Speaker 3: Yeah, that's the thing.

754
00:38:42,600 --> 00:38:44,640
Speaker 1: I think my belly button might need a tending to.

755
00:38:44,719 --> 00:38:47,440
Speaker 1: But I'll get back to you.

756
00:38:47,440 --> 00:38:50,160
Speaker 2: You wouldn't entertain the idea of reducing your meat intake.

757
00:38:50,239 --> 00:38:51,960
Speaker 2: What's your take on meat intake?

758
00:38:52,239 --> 00:38:54,520
Speaker 1: You keep talking about I'm going to fucking increase it,

759
00:38:54,640 --> 00:38:59,320
Speaker 1: So steady on, tell us about tell us about video

760
00:38:59,440 --> 00:39:02,360
Speaker 1: door bell? What's there? I think I need one of

761
00:39:02,440 --> 00:39:04,400
Speaker 1: those video doorbell.

762
00:39:04,680 --> 00:39:06,040
Speaker 3: Yeah, I've got a ring doorbell.

763
00:39:06,080 --> 00:39:08,080
Speaker 2: What I like about it is that now that I've

764
00:39:08,080 --> 00:39:10,120
Speaker 2: got my studio in the garage out the back of

765
00:39:10,160 --> 00:39:12,600
Speaker 2: the property, because I'm on a quarter acre block, which

766
00:39:12,600 --> 00:39:14,879
Speaker 2: doesn't sound like a lot, but it's a fairly large block,

767
00:39:15,080 --> 00:39:15,359
Speaker 2: and it.

768
00:39:15,360 --> 00:39:18,480
Speaker 1: Means that's in suburbia. That's a veritable farm.

769
00:39:19,360 --> 00:39:20,279
Speaker 3: Yeah, it's pretty.

770
00:39:20,320 --> 00:39:22,040
Speaker 2: And I was picking apples on the way here, by

771
00:39:22,080 --> 00:39:24,280
Speaker 2: the way, because my stone fruit aren't ready.

772
00:39:24,760 --> 00:39:28,840
Speaker 1: So is that a humble brag?

773
00:39:29,520 --> 00:39:30,160
Speaker 3: I think it is.

774
00:39:30,200 --> 00:39:32,200
Speaker 2: It's nice to have stuff that you can pick out

775
00:39:32,200 --> 00:39:34,120
Speaker 2: of your garden. I've got what else have I got

776
00:39:34,160 --> 00:39:36,680
Speaker 2: at the moment, I've got Oregon. I've got lots of herbs.

777
00:39:36,719 --> 00:39:37,440
Speaker 2: That's always good.

778
00:39:37,480 --> 00:39:38,400
Speaker 3: Sorry, I'm digressing.

779
00:39:39,440 --> 00:39:44,560
Speaker 1: It's an that paper folding thing. That's omi I just checking.

780
00:39:47,080 --> 00:39:50,160
Speaker 3: Is what you put in your vegan bowlines?

781
00:39:54,520 --> 00:39:55,600
Speaker 4: All right? If you could cook?

782
00:39:55,800 --> 00:40:00,359
Speaker 3: Can I cook well? Have all these herbs? And we're

783
00:40:00,360 --> 00:40:03,000
Speaker 3: a rudimentary cook. A little bit of way of putting it.

784
00:40:03,760 --> 00:40:06,960
Speaker 2: Look, we're all three single people. Where would you rate

785
00:40:07,000 --> 00:40:08,240
Speaker 2: yourself on the cooking scale.

786
00:40:08,280 --> 00:40:13,000
Speaker 1: Perhaps I can actually cook quite well, but I'm lazy.

787
00:40:13,560 --> 00:40:16,120
Speaker 1: I can cook quite well because I've lived by myself

788
00:40:16,120 --> 00:40:20,640
Speaker 1: for two hundred years. But the whole thing of getting

789
00:40:20,640 --> 00:40:22,640
Speaker 1: a whole lot of shit and chopping and preparing and

790
00:40:22,680 --> 00:40:28,239
Speaker 1: sauteing and above for me. Also, I'm fortunate that I

791
00:40:28,400 --> 00:40:33,399
Speaker 1: live with it literally within one kilometer of forty restaurants and.

792
00:40:33,960 --> 00:40:36,160
Speaker 2: From your place to the cafe across the road, there's

793
00:40:36,160 --> 00:40:39,000
Speaker 2: actually been a channel woven into the bitumen from you

794
00:40:39,120 --> 00:40:39,839
Speaker 2: just walking back?

795
00:40:40,040 --> 00:40:42,160
Speaker 1: Are you you haven't seen it? I've got a flying

796
00:40:42,280 --> 00:40:46,560
Speaker 1: fox from the office. I just fucking zip line across

797
00:40:46,560 --> 00:40:47,960
Speaker 1: there like a fucking ninja.

798
00:40:48,840 --> 00:40:50,200
Speaker 3: That would not surprise me.

799
00:40:52,520 --> 00:40:55,160
Speaker 1: Tell me about it. Tell me about these video doorbells.

800
00:40:55,719 --> 00:40:58,560
Speaker 2: Okay, we finished on the we started talking about the meat.

801
00:40:59,080 --> 00:41:00,560
Speaker 2: Were talking about the meat. The doorbells.

802
00:41:00,600 --> 00:41:03,399
Speaker 1: We can do bar all right, we'll finish on them up.

803
00:41:03,600 --> 00:41:06,160
Speaker 1: So tell me what's going on with this new labeling

804
00:41:06,239 --> 00:41:10,200
Speaker 1: for cultivated meat. Sorry, sorry, it's once you started talking

805
00:41:10,200 --> 00:41:13,800
Speaker 1: about vegans myself in the face.

806
00:41:15,640 --> 00:41:16,680
Speaker 3: So the Swiss.

807
00:41:16,400 --> 00:41:19,960
Speaker 2: Organization, right, they have a thing called a V label.

808
00:41:20,440 --> 00:41:23,840
Speaker 2: It's a little leaf logo and basically it certifies whether

809
00:41:24,000 --> 00:41:27,600
Speaker 2: a product is vegan and vegetarian. But now that I

810
00:41:27,680 --> 00:41:31,160
Speaker 2: come up with the SA label, excuse mete for cultivated meat.

811
00:41:31,320 --> 00:41:33,840
Speaker 2: So the idea is you get you get donor cells

812
00:41:33,880 --> 00:41:37,359
Speaker 2: from a cow and you grow them, and you end

813
00:41:37,440 --> 00:41:41,959
Speaker 2: up with a steak that's been grown rather than cut

814
00:41:42,000 --> 00:41:44,040
Speaker 2: from a cow and you know, slaughtered the cow. You've

815
00:41:44,080 --> 00:41:49,120
Speaker 2: just grown it from these cultured these cultured cells. The

816
00:41:49,200 --> 00:41:52,120
Speaker 2: thing is, it's even though it sounds like it's highly processed,

817
00:41:52,120 --> 00:41:54,759
Speaker 2: it isn't. You know, you're just doing exactly what the

818
00:41:54,800 --> 00:41:57,520
Speaker 2: body does. You're you're using donor cells that can then

819
00:41:57,560 --> 00:42:00,239
Speaker 2: replicate and then they grow into whatever it is, you know,

820
00:42:01,120 --> 00:42:04,400
Speaker 2: in this case of steak, So it's not overly processed

821
00:42:04,760 --> 00:42:08,240
Speaker 2: and the amount of water needed, the amount of input

822
00:42:08,320 --> 00:42:11,640
Speaker 2: needed to be able to grow the steak down the track.

823
00:42:11,960 --> 00:42:13,600
Speaker 2: They think it's going to be much better for the

824
00:42:13,719 --> 00:42:17,399
Speaker 2: environment using cultivated meat. Would you eat a cultivated meat

825
00:42:17,440 --> 00:42:19,680
Speaker 2: steak if it was available to you side by side

826
00:42:19,840 --> 00:42:20,800
Speaker 2: with another surline?

827
00:42:21,600 --> 00:42:24,560
Speaker 1: No, why, I don't want to.

828
00:42:24,920 --> 00:42:27,960
Speaker 2: But but if you knew it was better for the planet,

829
00:42:28,000 --> 00:42:31,080
Speaker 2: if you knew that an animal hadn't been slaughtered and

830
00:42:31,160 --> 00:42:34,200
Speaker 2: b it used a lot less water, a lot less resources,

831
00:42:34,360 --> 00:42:36,600
Speaker 2: it wasn't belching out cock.

832
00:42:36,680 --> 00:42:40,080
Speaker 1: I'm sorry, I'm not giving you the answer you want.

833
00:42:40,680 --> 00:42:42,880
Speaker 1: How dare I not agree with you?

834
00:42:42,920 --> 00:42:47,440
Speaker 3: No, Tiff? Would you? Would you try one? At least?

835
00:42:48,120 --> 00:42:48,200
Speaker 1: So?

836
00:42:48,360 --> 00:42:50,960
Speaker 3: Just it weeds me out that it's been grown.

837
00:42:51,480 --> 00:42:55,400
Speaker 4: Yeah, I just think you're interfering with everything. Something something

838
00:42:56,200 --> 00:42:57,240
Speaker 4: I reckon.

839
00:42:57,600 --> 00:43:02,279
Speaker 1: God or whomever built the hours for a reason. It

840
00:43:02,320 --> 00:43:04,759
Speaker 1: wasn't but it wasn't for them just to fucking die

841
00:43:04,800 --> 00:43:05,759
Speaker 1: of old age.

842
00:43:09,080 --> 00:43:11,080
Speaker 2: Oh man, Yeah, let's get onto it. What was it

843
00:43:11,120 --> 00:43:13,239
Speaker 2: at the topic of the let's go to doorbells?

844
00:43:13,560 --> 00:43:14,799
Speaker 3: Someone, I've got a ring.

845
00:43:15,160 --> 00:43:17,880
Speaker 1: I'm going to build this thing that tastes fucking delicious,

846
00:43:18,239 --> 00:43:20,480
Speaker 1: but I don't want anyone to eat it. It's just

847
00:43:20,520 --> 00:43:23,640
Speaker 1: going to walk around grass for twenty years then drop dead.

848
00:43:24,239 --> 00:43:25,080
Speaker 3: No answers.

849
00:43:26,200 --> 00:43:28,239
Speaker 1: Come on, bro, you're not smarter than God.

850
00:43:28,360 --> 00:43:31,040
Speaker 2: Come on, a cauliflower steak is pretty good with a

851
00:43:31,120 --> 00:43:31,640
Speaker 2: nice source.

852
00:43:32,320 --> 00:43:36,440
Speaker 1: Ok Now, come on, you're fighting a losing battle.

853
00:43:36,480 --> 00:43:39,080
Speaker 2: Get off the doorbells and you're crumbing. It's pretty good

854
00:43:39,120 --> 00:43:40,640
Speaker 2: too if you've put crumbles as well.

855
00:43:41,040 --> 00:43:43,080
Speaker 1: Sorry, rumb you, I'll crumb you.

856
00:43:43,160 --> 00:43:45,920
Speaker 2: Hey, yeah, pretty the doorbells. Look you were saying you're

857
00:43:45,960 --> 00:43:48,759
Speaker 2: thinking of getting one. And one of the challenges with

858
00:43:48,920 --> 00:43:52,080
Speaker 2: any sort of surveillance technology is a lot of the

859
00:43:52,120 --> 00:43:54,880
Speaker 2: companies that sell them also require.

860
00:43:54,480 --> 00:43:57,600
Speaker 3: You to take out a subscription, but you don't have to.

861
00:43:57,960 --> 00:44:00,680
Speaker 2: So I've got the ring doorbells, And for me, what

862
00:44:00,719 --> 00:44:02,640
Speaker 2: it means is if someone comes to my front door

863
00:44:02,680 --> 00:44:05,400
Speaker 2: and I'm sitting in the studio space, I get to

864
00:44:05,440 --> 00:44:07,720
Speaker 2: pop up on my phone. I can activate the camera,

865
00:44:07,920 --> 00:44:09,759
Speaker 2: but I can talk to the person as well, so

866
00:44:09,800 --> 00:44:12,200
Speaker 2: you can have a conversation with them. So tif someone

867
00:44:12,280 --> 00:44:14,880
Speaker 2: came to your house right now to drop off a delivery,

868
00:44:15,120 --> 00:44:17,400
Speaker 2: there's a lot of doorbells now that not only have

869
00:44:17,440 --> 00:44:19,520
Speaker 2: a front facing camera, but they have a camera that

870
00:44:19,560 --> 00:44:21,920
Speaker 2: points down so you can you can see the package

871
00:44:21,920 --> 00:44:24,239
Speaker 2: that's been dropped off, which is kind of good. Yeah,

872
00:44:24,280 --> 00:44:26,000
Speaker 2: so there's lots of new ones out on the market.

873
00:44:26,080 --> 00:44:29,120
Speaker 2: You don't necessarily have to buy a subscription to use them.

874
00:44:29,320 --> 00:44:31,520
Speaker 2: The other thing that my cameras do, which I really love,

875
00:44:31,680 --> 00:44:33,520
Speaker 2: is they have a light in them where you can

876
00:44:33,560 --> 00:44:36,080
Speaker 2: turn the light on manually, so it goes on for

877
00:44:36,120 --> 00:44:39,160
Speaker 2: thirty seconds. But it also has a siren. So if

878
00:44:39,200 --> 00:44:42,359
Speaker 2: you're in Tazzy, some dodgy person comes to the door,

879
00:44:42,400 --> 00:44:44,319
Speaker 2: the camera detects them and you see it. You can

880
00:44:44,360 --> 00:44:46,600
Speaker 2: flick the siren on and scare the be Jesus out

881
00:44:46,640 --> 00:44:47,439
Speaker 2: of them.

882
00:44:47,880 --> 00:44:51,360
Speaker 1: That's good. Yeah, I wouldn't mind. I would like just

883
00:44:51,400 --> 00:44:55,319
Speaker 1: to scare my friends. I mean, so forget the security.

884
00:44:55,400 --> 00:44:58,160
Speaker 1: How much fun would it be to bloody just terrify?

885
00:44:58,480 --> 00:45:00,799
Speaker 1: Can we jump back? Just because I actually want to

886
00:45:00,840 --> 00:45:02,600
Speaker 1: know what ghost GPT is.

887
00:45:03,520 --> 00:45:06,319
Speaker 2: Oh okay, so you're talking about all the AI that's

888
00:45:06,320 --> 00:45:09,680
Speaker 2: out at the moment. Ghost GPT is for criminals. So

889
00:45:09,960 --> 00:45:14,839
Speaker 2: guess what there's it's out there. It's been released, and

890
00:45:14,880 --> 00:45:17,680
Speaker 2: the problem is that there are no constraints. See if

891
00:45:17,719 --> 00:45:19,880
Speaker 2: you go to chat GPT and you try to do

892
00:45:19,920 --> 00:45:25,319
Speaker 2: something naughty, write some code to hack Craig's computer, it's

893
00:45:25,360 --> 00:45:28,000
Speaker 2: not going to do it though. There are constraints there.

894
00:45:28,040 --> 00:45:30,439
Speaker 2: But with this ghost GPT, it's kind of a dark

895
00:45:30,480 --> 00:45:33,200
Speaker 2: web thing where it doesn't have to. The brakes have

896
00:45:33,280 --> 00:45:36,200
Speaker 2: been turned off. You know, you can you can fly

897
00:45:36,280 --> 00:45:37,880
Speaker 2: down that road as fast as you want. You're not

898
00:45:37,920 --> 00:45:40,040
Speaker 2: putting on the brakes. It's it's just going, you know,

899
00:45:40,080 --> 00:45:43,640
Speaker 2: full speed ahead. So you know, cyber crime is out there,

900
00:45:43,680 --> 00:45:46,719
Speaker 2: and so yeah, so the criminals are now using it,

901
00:45:46,800 --> 00:45:48,800
Speaker 2: and the hackers are now using it. And the problem

902
00:45:48,840 --> 00:45:52,319
Speaker 2: with this is in the past, when you wanted to

903
00:45:52,360 --> 00:45:54,520
Speaker 2: get something hacked, you'd have to have quite a bit

904
00:45:54,560 --> 00:45:56,360
Speaker 2: of knowledge to be able to hack into a system.

905
00:45:56,600 --> 00:45:59,560
Speaker 2: But using AI to do programming because I use chat

906
00:45:59,560 --> 00:46:01,640
Speaker 2: GPT occasionally to alter code.

907
00:46:01,760 --> 00:46:02,680
Speaker 3: I'm not a coder.

908
00:46:02,920 --> 00:46:05,040
Speaker 2: I can read a little bit of HTML code and

909
00:46:05,560 --> 00:46:08,680
Speaker 2: that sort of thing, but I can paste the code

910
00:46:08,760 --> 00:46:11,319
Speaker 2: into chat GPT and say now I wanted to do this,

911
00:46:11,680 --> 00:46:14,840
Speaker 2: and it will alter the code accordingly, which is really handy.

912
00:46:14,920 --> 00:46:18,120
Speaker 2: So if you're not a real heavy intensive coder, you

913
00:46:18,120 --> 00:46:21,120
Speaker 2: can actually get help from AI. But the problem is

914
00:46:21,480 --> 00:46:24,239
Speaker 2: if you've got the all the constraints turned off, and

915
00:46:24,280 --> 00:46:28,919
Speaker 2: this is what this ghost you know, GPT is it's yeah,

916
00:46:29,040 --> 00:46:32,800
Speaker 2: it's not a good thing. But again it's the knife analogy.

917
00:46:32,920 --> 00:46:35,319
Speaker 2: I use it to make something, use it to do

918
00:46:36,239 --> 00:46:36,960
Speaker 2: you know, it's more.

919
00:46:37,040 --> 00:46:40,120
Speaker 1: Good, good or evil. Hey, last one interests me because

920
00:46:40,320 --> 00:46:43,800
Speaker 1: I've just started because Tiff told me because she's bossy,

921
00:46:43,840 --> 00:46:46,880
Speaker 1: and also Melissa, who's more bossy that I need to

922
00:46:46,880 --> 00:46:51,000
Speaker 1: put up videos or that's you know, real south and

923
00:46:51,040 --> 00:46:53,719
Speaker 1: putting up few reels. But I can't edit for shit.

924
00:46:54,400 --> 00:46:56,200
Speaker 1: So even the other day I wanted something, I had

925
00:46:56,200 --> 00:46:58,160
Speaker 1: to ring tip and go can you turn this into

926
00:46:58,200 --> 00:47:01,480
Speaker 1: a thing? Which I hate doing. But so Instagram, I've

927
00:47:01,520 --> 00:47:05,520
Speaker 1: got a new video editing app. Is that within the

928
00:47:05,600 --> 00:47:09,839
Speaker 1: actual what is that? So it's built into it. So look,

929
00:47:09,880 --> 00:47:12,360
Speaker 1: this has been a response to, I guess the big

930
00:47:12,440 --> 00:47:15,960
Speaker 1: ban on TikTok in the US and that by extension

931
00:47:15,960 --> 00:47:18,839
Speaker 1: has happened to a few Australians as well. So when

932
00:47:19,200 --> 00:47:22,400
Speaker 1: Trump came in, he announced this ban on TikTok because

933
00:47:22,400 --> 00:47:25,760
Speaker 1: TikTok is owned by China and again the whole China debate,

934
00:47:25,840 --> 00:47:29,520
Speaker 1: what's TikTok doing with the information? So there was a

935
00:47:29,560 --> 00:47:32,840
Speaker 1: reprieve for a month, so it because banned for like

936
00:47:33,239 --> 00:47:36,480
Speaker 1: nine hours or twelve hours and then they reactivated it

937
00:47:36,520 --> 00:47:38,239
Speaker 1: when Trump said, Okay, we're going to give you a

938
00:47:38,280 --> 00:47:40,640
Speaker 1: month reprieve, but then we're going to shut it down again.

939
00:47:40,960 --> 00:47:44,600
Speaker 1: And some Australians who had American based accounts also got

940
00:47:44,640 --> 00:47:47,160
Speaker 1: locked out of TikTok. And one of the things that

941
00:47:47,200 --> 00:47:49,600
Speaker 1: TikTok is able to do is it allows video editing

942
00:47:49,600 --> 00:47:52,359
Speaker 1: as well, built into the software. So Instagram's jumped onto

943
00:47:52,360 --> 00:47:54,719
Speaker 1: the bandwagon, and I think this was a reaction to that,

944
00:47:55,320 --> 00:47:58,840
Speaker 1: and they're now offering new video editing features within the

945
00:47:58,840 --> 00:48:01,720
Speaker 1: app itself means that you can edit, you can trim,

946
00:48:01,800 --> 00:48:04,440
Speaker 1: you can add effects in the app without having to

947
00:48:04,440 --> 00:48:06,520
Speaker 1: go to an external program that you may not know

948
00:48:06,560 --> 00:48:07,120
Speaker 1: how to use.

949
00:48:07,160 --> 00:48:09,440
Speaker 2: So Crago you can now go in and make some

950
00:48:09,560 --> 00:48:11,120
Speaker 2: changes to your video reels.

951
00:48:11,239 --> 00:48:14,960
Speaker 1: I'm definitely going to have to jump into YouTube to

952
00:48:15,040 --> 00:48:16,239
Speaker 1: figure out how to do that.

953
00:48:16,160 --> 00:48:20,160
Speaker 3: On I tiff, No Instagram, mate, we're talking about Instagram.

954
00:48:20,160 --> 00:48:23,600
Speaker 1: Not no no, no, I know that, but no, no, no,

955
00:48:23,719 --> 00:48:26,360
Speaker 1: you missed you did you misunderstood me. I'm going to

956
00:48:26,480 --> 00:48:30,680
Speaker 1: have to jump into YouTube to watch a video, an

957
00:48:30,719 --> 00:48:33,440
Speaker 1: instructional video on how to do it.

958
00:48:34,040 --> 00:48:36,560
Speaker 2: You know what a lot about young people and technology

959
00:48:36,760 --> 00:48:40,360
Speaker 2: is that there's no hurdles, there's no fear, and they'll

960
00:48:40,400 --> 00:48:43,200
Speaker 2: just jump into a program and learn it without having

961
00:48:43,239 --> 00:48:48,200
Speaker 2: to get instruction. I just I feel that people our age, Sorry, Tiff,

962
00:48:48,200 --> 00:48:50,880
Speaker 2: I'm not talking about you like Craig and not my age.

963
00:48:51,640 --> 00:48:53,719
Speaker 2: There is a there is a you know, it's not

964
00:48:53,760 --> 00:48:57,680
Speaker 2: innately intuitive to us. I mean for some of it

965
00:48:57,760 --> 00:49:01,799
Speaker 2: who nerds it is, But the intuitive nature of technology,

966
00:49:01,920 --> 00:49:04,399
Speaker 2: the younger the people are, the younger people are, they

967
00:49:04,440 --> 00:49:06,680
Speaker 2: just seem to pick it up and run with it

968
00:49:06,719 --> 00:49:08,400
Speaker 2: because it's intuitive for them.

969
00:49:08,760 --> 00:49:12,239
Speaker 1: Well, I think it's interesting you say that one of

970
00:49:12,239 --> 00:49:15,560
Speaker 1: my friends has got young kids, and yeah, all of

971
00:49:15,560 --> 00:49:19,560
Speaker 1: those kids speak fluent English and tech like, they grow

972
00:49:19,640 --> 00:49:23,520
Speaker 1: up with two languages. So there was a there was

973
00:49:23,560 --> 00:49:27,160
Speaker 1: never a part of their life where technology and because

974
00:49:27,160 --> 00:49:31,000
Speaker 1: they're young, like seven eight years old, it was already

975
00:49:31,120 --> 00:49:34,920
Speaker 1: quite advanced and so by the time they're two or three.

976
00:49:35,239 --> 00:49:37,560
Speaker 1: But there's this dude, James Gwilt, who used to play

977
00:49:37,600 --> 00:49:40,520
Speaker 1: for some Kilda Shout out to Jimmy. He comes in

978
00:49:40,600 --> 00:49:42,759
Speaker 1: to the Hamptons and I've put up a picture of

979
00:49:42,800 --> 00:49:45,279
Speaker 1: his daughter, Rosie, who's gorgeous. I don't know how old

980
00:49:45,360 --> 00:49:48,319
Speaker 1: she is, but she's not two. But she comes over

981
00:49:48,360 --> 00:49:50,600
Speaker 1: and sits on my knee while he goes and buys

982
00:49:50,640 --> 00:49:53,120
Speaker 1: his coffee, and we fuck around on my phone. She

983
00:49:53,320 --> 00:49:56,160
Speaker 1: pulls the phone out of my hand and is like,

984
00:49:56,320 --> 00:49:59,920
Speaker 1: fuck off, Grandpa, give me the phone and starts look

985
00:50:00,000 --> 00:50:03,800
Speaker 1: looking for pepper Pig on fucking YouTube or and she knows.

986
00:50:04,040 --> 00:50:06,920
Speaker 1: I mean, she doesn't type in pepper Pig, but I'll.

987
00:50:06,640 --> 00:50:07,120
Speaker 3: Bring up.

988
00:50:08,960 --> 00:50:13,560
Speaker 1: She still, she starts all bluey. She starts scrolling to

989
00:50:13,680 --> 00:50:17,440
Speaker 1: find the cartoon or the video that she wants, and

990
00:50:17,480 --> 00:50:19,959
Speaker 1: then she'll play. And I mean, she is not even

991
00:50:20,040 --> 00:50:24,200
Speaker 1: two years old, and she's already got a better understanding

992
00:50:24,400 --> 00:50:28,320
Speaker 1: of that phone than my mum, who's had an iPhone

993
00:50:28,360 --> 00:50:29,040
Speaker 1: for ten years.

994
00:50:29,239 --> 00:50:31,359
Speaker 3: Is that a responsible adult thing to do to let

995
00:50:31,360 --> 00:50:34,960
Speaker 3: a two year old scroll through your feed?

996
00:50:34,360 --> 00:50:36,560
Speaker 1: I just want I just want her to love me,

997
00:50:36,680 --> 00:50:38,880
Speaker 1: so I just fucking let her do. I'm like the

998
00:50:38,960 --> 00:50:42,239
Speaker 1: bad grandfather that lets them eat the lollies and fuck

999
00:50:42,280 --> 00:50:43,600
Speaker 1: around and stay up late.

1000
00:50:44,200 --> 00:50:47,760
Speaker 2: Kids are awesome, and it is amazing to watch the development,

1001
00:50:47,760 --> 00:50:50,440
Speaker 2: particularly at that age. I've got a colleague of mine

1002
00:50:50,480 --> 00:50:53,279
Speaker 2: who has just gone through this whole process, and his

1003
00:50:53,400 --> 00:50:56,799
Speaker 2: little girl's about to turn two in March, and it's

1004
00:50:56,960 --> 00:50:59,600
Speaker 2: like every time I see her, she's doing something new.

1005
00:51:00,200 --> 00:51:03,520
Speaker 3: It's phenomenal. It's so interesting.

1006
00:51:03,200 --> 00:51:05,920
Speaker 1: Think about how they're evolving, like you and I are

1007
00:51:05,960 --> 00:51:09,600
Speaker 1: fucking plants just blowing in the wind, Like they're like

1008
00:51:09,719 --> 00:51:14,720
Speaker 1: little sponges that just fucking never ever stop. At that age,

1009
00:51:15,080 --> 00:51:18,840
Speaker 1: the development is exponential. When you go risk.

1010
00:51:18,680 --> 00:51:19,640
Speaker 3: Plan, I reckon Craig.

1011
00:51:20,200 --> 00:51:24,680
Speaker 2: If you're very planned, you're a carniferous But if that.

1012
00:51:24,719 --> 00:51:27,439
Speaker 1: Will, say goodbye to tif last Patrick. Tell people how

1013
00:51:27,440 --> 00:51:29,160
Speaker 1: to find you and connect with you, please.

1014
00:51:29,480 --> 00:51:32,200
Speaker 2: I can just go to websites now, dot com, dot au.

1015
00:51:32,440 --> 00:51:35,000
Speaker 2: That's the main kind of website that I throw out there.

1016
00:51:35,040 --> 00:51:37,080
Speaker 2: But you know, you can tie chair at home as well.

1017
00:51:37,120 --> 00:51:38,960
Speaker 2: If you think you'd like to get into the zen

1018
00:51:39,440 --> 00:51:41,399
Speaker 2: feel and you want to take a bit of a chill,

1019
00:51:41,520 --> 00:51:42,480
Speaker 2: do some chen bar chan.

1020
00:51:42,680 --> 00:51:43,760
Speaker 3: That's my favorite exercise.

1021
00:51:43,760 --> 00:51:44,759
Speaker 2: By the way, if you want to go to the

1022
00:51:44,760 --> 00:51:47,320
Speaker 2: website chen bar Chan, I do it with my staff

1023
00:51:47,360 --> 00:51:49,880
Speaker 2: twice a day. It's a good way to just do

1024
00:51:49,920 --> 00:51:53,000
Speaker 2: a really quick two minute exercise. Get off your computer,

1025
00:51:53,120 --> 00:51:55,000
Speaker 2: get off what you're doing, go and have a stretch.

1026
00:51:55,160 --> 00:51:55,720
Speaker 3: It's free.

1027
00:51:56,160 --> 00:51:58,000
Speaker 2: Go to tie chair at home, dot Com DoD Au

1028
00:51:58,080 --> 00:52:00,440
Speaker 2: and do some chen buch on today on this No.

1029
00:52:00,480 --> 00:52:01,480
Speaker 3: It's great, I love it.

1030
00:52:01,680 --> 00:52:04,440
Speaker 2: I set up this website during COVID for my students

1031
00:52:04,480 --> 00:52:06,880
Speaker 2: because we couldn't do classes, so it hasn't even been

1032
00:52:06,960 --> 00:52:09,600
Speaker 2: updated since COVID. But it does have some good exercises

1033
00:52:09,640 --> 00:52:11,319
Speaker 2: and Fritz is also there as well.

1034
00:52:11,520 --> 00:52:13,480
Speaker 3: So that you go, there's a free before you today.

1035
00:52:13,520 --> 00:52:16,840
Speaker 2: Do yourself something, be mindful, do some Tai cheese stretching

1036
00:52:16,880 --> 00:52:17,120
Speaker 2: with me.

1037
00:52:18,200 --> 00:52:19,839
Speaker 1: And if you want to go to Balan and pick

1038
00:52:19,840 --> 00:52:21,920
Speaker 1: an apple off his tree, just send him an email.

1039
00:52:22,000 --> 00:52:24,720
Speaker 1: He will gladly accommodate you. Tiffy, What are you seeing

1040
00:52:25,200 --> 00:52:26,120
Speaker 1: Granddad today?

1041
00:52:26,960 --> 00:52:33,000
Speaker 4: Tomorrow? Oh tomorrow, right the countryside today?

1042
00:52:33,640 --> 00:52:35,120
Speaker 1: When's the shindig? Sorry?

1043
00:52:35,440 --> 00:52:39,480
Speaker 4: Is on Sunday. We're having a party on Sunday and

1044
00:52:39,680 --> 00:52:43,319
Speaker 4: on Saturday, the one weekend I'm in Tazzy and Mark

1045
00:52:43,360 --> 00:52:46,080
Speaker 4: Seymour is playing the Boxer Encore Tour, so I'm taking

1046
00:52:46,120 --> 00:52:48,480
Speaker 4: mom and dad to see the box for the first time.

1047
00:52:48,800 --> 00:52:51,840
Speaker 2: How awesome is it that will place us if you around,

1048
00:52:51,880 --> 00:52:52,959
Speaker 2: tiff of.

1049
00:52:52,880 --> 00:52:55,120
Speaker 4: Course, hopefully we'll be able a Naber t shirt and

1050
00:52:56,160 --> 00:52:57,000
Speaker 4: that is awesome.

1051
00:52:57,000 --> 00:52:59,120
Speaker 3: I still want to get a signed album, not from

1052
00:52:59,160 --> 00:53:00,239
Speaker 3: Mark semore from you you.

1053
00:53:01,520 --> 00:53:03,239
Speaker 2: I want, I want for one all and I want

1054
00:53:03,280 --> 00:53:05,040
Speaker 2: you to sign it for me. I've got to get one.

1055
00:53:05,600 --> 00:53:10,480
Speaker 1: Patrick, you should get Tiff to sign your breasts like

1056
00:53:10,600 --> 00:53:16,680
Speaker 1: all the young fans do. All right, it's been great.

1057
00:53:17,160 --> 00:53:17,960
Speaker 1: Thanks everyone,