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Speaker 1: I'll get a team. It's you project, it's Patrick. It's

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Speaker 1: my favorite. He's back and it's my other favorite tip.

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Speaker 1: They're both back. It's like the fucking wall of favorites.

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Speaker 1: As I look at my I was going to say,

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Speaker 1: TV screen. That's how old I'm It's like a TV screen,

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Speaker 1: isn't it. It's like something from the seventies. They've really evolved,

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Speaker 1: haven't they look at them? What with the wireless and everything? Hello, Patrick,

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Speaker 1: how are.

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Speaker 2: You let me dial my rotary dial phone and we'll

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Speaker 2: connect on the phone.

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Speaker 1: Yes, let's do that. I'll send my carrier pigeon over

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Speaker 1: to you, just to inform you of what's going on.

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Speaker 1: With a note and it's God.

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Speaker 2: I was talking to someone about writing handwriting letters. I

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Speaker 2: love writing cards to people, and it's one of those

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Speaker 2: things to receive a written note these days.

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Speaker 3: It's so unique. I'm good, by the way, thank you

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Speaker 3: for asking, how are you?

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Speaker 1: I'm good? Thank you? Tiff? What do you think the

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Speaker 1: writing the like with a pen? As I'm holding up

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Speaker 1: a pen just like Tiff would no unless I fucking

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Speaker 1: held one. I don't know why I'm doing this visual prompt,

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Speaker 1: but nonetheless I'm still doing it that's.

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Speaker 2: Getting close to your eye, mate, be careful, don't take

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Speaker 2: yourself in the eye with that.

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Speaker 1: Come on, yeah, thanks mom. If what do you think

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Speaker 1: the chances of the younger generation being able to use

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Speaker 1: one of these in ten years is like, do you

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Speaker 1: think we'll still have children in schools writing on paper

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Speaker 1: with pens or that will be obsolete.

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Speaker 4: It's interesting, isn't it. Maybe it'll make itself obsolete, but

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Speaker 4: then won't it be a beautiful craft like people that

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Speaker 4: have the ability to do that, Like if in.

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Speaker 1: The you know, I know, Patrick's going to say, oh,

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Speaker 1: we need to hold on to it, and I get it,

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Speaker 1: and it's romantic and it's beautiful. But in the real

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Speaker 1: world beyond that, I don't think people are going to

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Speaker 1: be writing with pens on paper. I think kids from

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Speaker 1: a young age you're going to be using computers and

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Speaker 1: everything's going to be done in that modality. What are

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Speaker 1: your thoughts, Patrick?

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Speaker 2: My thoughts are that you are completely and totally utterly wrong,

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Speaker 2: and new studies are now actually encouraging.

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Speaker 1: In primary school, you always say new studies, reference the

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Speaker 1: study right now.

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Speaker 3: It's a study right now.

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Speaker 1: I don't say studies, tell us tell me the name

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Speaker 1: of the study, or I don't believe you. Look, this

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Speaker 1: is your go to this is your go to studies.

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Speaker 1: Tell us there was this, don't fucking say that. Tell

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Speaker 1: me the name of the study, and don't start looking

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Speaker 1: it up now I am looking it up. Are you

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Speaker 1: telling me? Are you telling me that you think in

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Speaker 1: ten years that kids will be writing on paper with

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Speaker 1: pens more than they are now?

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Speaker 3: Yes, I'm telling you now that they are.

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Speaker 1: No, no, no, you're giving me your opinion now, don't

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Speaker 1: know this is your opinion, right, don't get over the

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Speaker 1: top with what you're not fucking nostradamis article I read recently,

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Speaker 1: because articles never get it wrong that.

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Speaker 2: Schools are now reintroducing pens because the mechanism for writing

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Speaker 2: words means that children are able to articulate and learn

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Speaker 2: in a much more rapid pace when they take notes

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Speaker 2: and they write it down. Because the act of actually

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Speaker 2: writing the words, forming the letters, combining the words helps

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Speaker 2: greatly with learning and part of learning process. So at

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Speaker 2: least in Victoria, there is a move to really strongly

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Speaker 2: encourage kids away from tablets and back to handwriting.

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Speaker 1: I think theoretically that's brilliant, and I hope that is true,

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Speaker 1: and I hope that. I mean, just because they're doing

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Speaker 1: like that would be great. But I don't know that

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Speaker 1: that in a decade that the standard is going to

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Speaker 1: be kids writing on paper. I think it's going to

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Speaker 1: be the exception, not the rule. Ye, Like, I'm with you,

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Speaker 1: like I think for left brain right brain kind of

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Speaker 1: creativity and that tactile thing of actually doing something that's

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Speaker 1: fluid with with a pen on a page. But then

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Speaker 1: all the greenies are going to go, no, we need

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Speaker 1: to stop using all the paper and we're killing all

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Speaker 1: the trees.

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Speaker 2: There's that Raising Raising Children dot net dot au son

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Speaker 2: austraining parenting website states handwriting is an important part of

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Speaker 2: literacy and an essential skillful life.

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Speaker 4: There you go.

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Speaker 1: Yeah, Still, that's just a website saying for something. It's

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Speaker 1: not research, is it? I love, Let's be clear. Let's

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Speaker 1: be clear.

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Speaker 2: If when you come out of the ring just punching

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Speaker 2: like shit, that's Craig this morning.

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Speaker 1: Right.

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Speaker 2: No.

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Speaker 1: No, I'm just saying, like, I don't have to agree

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Speaker 1: with everything you say just because you're saying it. I

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Speaker 1: can say cool, you say research, where is it? And

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Speaker 1: you go, I don't know.

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Speaker 2: Queensland curriculum and Assessment authority supporting your child development.

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Speaker 1: Ye still not research, Still not research, Just a fucking

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Speaker 1: website saying something, an education website. So what So what

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Speaker 1: you know? Science used to tell us that the world

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Speaker 1: was flat. Science used to tell us that the food

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Speaker 1: pyramid was good. Science used to tell us that pregnant

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Speaker 1: women should have polidamine. There's a lot of things that

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Speaker 1: turn out not to be true.

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Speaker 3: I'll send you a link to the National Library the

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Speaker 3: neuroscience behind writing.

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Speaker 1: But I believe you with that, Like, I truly I agree.

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Speaker 1: I think it's great. That's not the question. The question

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Speaker 1: is will it still be around? So you and I

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Speaker 1: are on the same page. I think I wish that

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Speaker 1: we're all still writing, and I wish we were using

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Speaker 1: both hands. Like, if you're listening to this and you're

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Speaker 1: a parent and you want your kid's brain to develop, great,

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Speaker 1: get them to do things with both hands. Get them

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Speaker 1: to write and draw with both hands. Get them to

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Speaker 1: play games with both hands. Hold a tennis racket, at

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Speaker 1: cricket bat, you know whatever, play with dolls with both hands,

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Speaker 1: like try to What about when you're getting dressed and

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Speaker 1: you try to button up your shirt with your your

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Speaker 1: non dominant hands. It's like the fucking I was going

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Speaker 1: to say something very inappropriate. Have you ever I know

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Speaker 1: I can't.

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Speaker 3: I can't to say it.

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Speaker 1: No, I really can't. I would really actually get in trouble.

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Speaker 4: I know.

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Speaker 1: For me to pull back is yeah, wow.

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Speaker 3: You know what I was just thinking.

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Speaker 2: You were talking about handwriting in schools and whether that's

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Speaker 2: going to be present in ten years time. Let's step

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Speaker 2: back to even earlier learning. What about kids drawing with crayons?

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Speaker 2: And you know, there's a five year old child next

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Speaker 2: door who's adorable. And when I take Fritz out to

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Speaker 2: the front yard when I'm weeding, the kids all swarm

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Speaker 2: because they love my dog.

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Speaker 3: Right, it's not nothing to do with me.

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Speaker 2: But the little girl next door she turned five, so

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Speaker 2: I got her a little gift and she wrote she

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Speaker 2: drew me this beautiful picture, and she spelt my name,

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Speaker 2: but she spelt the pee backwards, which was.

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Speaker 3: Kind of cute. It was just like thank you.

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Speaker 2: And I just thought I've hung it up in my office,

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Speaker 2: right behind my desk, because it says.

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Speaker 3: So cute that this five year old draw a picture

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Speaker 3: for me.

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Speaker 2: But the act of drawing, of creating something on paper

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Speaker 2: that kids do from quite an early age, and visualizing

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Speaker 2: the world and then articulating it in such a way.

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Speaker 2: You know, kids draw even before they speak sometimes, but

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Speaker 2: to draw mummy and daddy, or to draw a picture

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Speaker 2: of a sky with the sun in it, those things

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Speaker 2: just they're going to be around, you know, that taxile connectedness.

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Speaker 2: So I think that, you know, is that the precursor

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Speaker 2: to writing further maybe hopefully Now I like to think, yeah, all.

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Speaker 1: Right, let's move on, let's look at some of it.

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Speaker 1: Let's look at what's on your list. I don't disagree,

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Speaker 1: by the way, in terms of your premise that it's

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Speaker 1: great for the brain and great for development. We're on

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Speaker 1: the same page with that. Okay. Biology scientists are excited

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Speaker 1: by gel that's going to repair tooth enamel.

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Speaker 3: This is pretty big.

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Speaker 2: This is just really really big because we can't grow

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Speaker 2: new enamel on our teeth, you know, as we get over,

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Speaker 2: you get older.

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Speaker 3: It's a real problem.

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Speaker 2: And this is a concern right around the world because

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Speaker 2: the World Health Organization says about three point seven billion

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Speaker 2: people suffer from oral disease with the enamel degradation. So

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Speaker 2: when the enamel breaks down, it leaves your teeth susceptible,

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Speaker 2: so that's one of the big causes, and decay can

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Speaker 2: lead to things like diabetes, vascular disease, so bad oral

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Speaker 2: health is a real problem. And so the scientists have

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Speaker 2: developed a possible treatment.

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Speaker 3: So this is out of the University of Nottingham.

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Speaker 2: And they believe that they've come up with I guess

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Speaker 2: a chemical environmental engineering department have been working on this

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Speaker 2: research to have a protein based substance that mimics the

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Speaker 2: key features that are used in enamel to develop. So

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Speaker 2: this is what babies have when they're growing your teeth.

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Speaker 2: Infants use this kind of this process to develop the

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Speaker 2: enamel around the teeth. It's kind of like a scaffolding

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Speaker 2: that goes on a tooth. And now they're saying they

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Speaker 2: may be able to use these calcium and phosphate ions

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Speaker 2: are ions that are in saliva and mimic that so

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Speaker 2: that we can regrow the enamel. This is we're talking

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Speaker 2: This may be as soon as like twelve to eighteen

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Speaker 2: months away and that could be revolutionary for people, but

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Speaker 2: particularly for those people who you know. I often think

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Speaker 2: about the safety net we have with medy care here

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Speaker 2: in Australia and there's so many safety nets for people

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Speaker 2: who get sick, but the one area that there isn't

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Speaker 2: a lot of care for is people who you know,

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Speaker 2: don't have a lot of money and can't afford dental work.

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Speaker 2: And the ramifications of people having bad teeth can be

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Speaker 2: I mean, aside from the cosmetic side of it and

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Speaker 2: losing confidence, the other aspect is the heart conditions and

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Speaker 2: potential you know, ongoing effects of having dental disease. And

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Speaker 2: we don't have a big safety net in there for

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Speaker 2: adults who lose their teeth. I mean, I know, I

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Speaker 2: think kids can get free dental treatment, but adults can't,

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Speaker 2: and so this could be a life changer for so

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Speaker 2: many people who just can't afford to go to the dentist.

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Speaker 1: Yeah, it's true. It's if you've got kind of mouth issues,

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Speaker 1: or teeth issues, or gum issues, or kind of infection

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Speaker 1: issues in the mouth, which is a lot of people.

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Speaker 1: There's a kind of a downstream physiological clinical consequence of that, which,

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Speaker 1: as you said, is often heart issues, but moreover just

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Speaker 1: like people. Yeah, there's just when I had my infection,

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Speaker 1: which is not mouth but closely located in my ears,

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Speaker 1: I had like an infection in my head, as in

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Speaker 1: my Eustachian tubes, and I felt fucking terrible for six months,

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Speaker 1: but I thought it was something else, so I didn't

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Speaker 1: even get a CT scan on my head, which I

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Speaker 1: ended up having to get, because I thought it was

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Speaker 1: I don't know. I thought I had diabetes. I thought

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Speaker 1: I had chronic fatigue. I've got a thing called pernicious anemia,

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Speaker 1: which makes you tired. I thought I had prostate issues.

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Speaker 1: I thought all of these things, and what I had

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Speaker 1: was an infection in my head. And so I had

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Speaker 1: six months of all of these pretty shitty symptoms, and

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Speaker 1: I took one course of antibiotics and everything went away.

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Speaker 1: I'm like, oh, oh, and that's just from that one

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Speaker 1: thing in my head. That infection basically fucked up, like

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Speaker 1: even down to brain function. I feel like my brain

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Speaker 1: was a six out of ten for like six months,

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Speaker 1: and I thought I was just I was scared. I

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Speaker 1: was a little bit scared.

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Speaker 2: I want to treat this with the seriousness that deserves

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Speaker 2: because I think medical conditions should be something that we

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Speaker 2: think about a lot and we protect ourselves from.

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Speaker 3: But I want to take.

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Speaker 2: That leap from an head infection to your prostate.

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Speaker 1: Yeah, well, because yeah, well the symptoms were I was

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Speaker 1: weaning a lot, right, Okay, I was weaning a lot,

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Speaker 1: I was lethargic, my cognitive function was down, so they

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Speaker 1: were just symptoms which often shouldn't be associated with that.

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Speaker 1: So I literally thought I was diabetic. I thought I

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Speaker 1: had prostate issues. I thought I had and I wrote

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Speaker 1: out a list like I did all this research, like

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Speaker 1: I fucking knew what I'm doing, pretending, oh look, I'm

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Speaker 1: almost a doctor. So then I went into my actual

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Speaker 1: doctor and I said this is what I think's going on,

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Speaker 1: and he went, fucking he fuck, what are your symptoms?

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Speaker 1: So I told him and he went, well, you could

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Speaker 1: be on the money. Then I had all this, I

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Speaker 1: had urine tests, I had blood tests, and then he

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Speaker 1: calls me in and he goes, well, you got none

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Speaker 1: of that, but you've got a fucking infection in your head.

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Speaker 1: I went, ah, months of this, Holy Molly, Oh dude, dude,

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Speaker 1: I was And also I'm a big baby, so that

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Speaker 1: doesn't help.

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Speaker 3: The moral of the story is blakes go to the

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Speaker 3: doctor more often.

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Speaker 1: That is, probably probably don't go to doctor Google as much,

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Speaker 1: ye doctor chat GPTV. Patrick tell Us why Google is

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Speaker 1: putting data centers in space if you would tell us

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Speaker 1: that that'd be nice.

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Speaker 2: Well, it's kind of we're talking as early as twenty

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Speaker 2: twenty seven that we could. This is a problem with AI,

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Speaker 2: the need for data centers in the rece courses they use,

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Speaker 2: so water usage has just ballooned because they need water

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Speaker 2: to cool the data centers.

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Speaker 3: The theory is that if you put a.

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Speaker 2: Data center in orbit four hundred miles above the Earth,

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Speaker 2: then you don't have the cooling problems because space in

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Speaker 2: essence is pretty damn cold. But you could orient the

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Speaker 2: solar panels and be constantly generating the power that you

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Speaker 2: would need. So we'vein a very short amount of time,

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Speaker 2: and in fact, in a couple of years, there are

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Speaker 2: more ships, there are more rockets launching satellites, so getting

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Speaker 2: stuff into space is a lot cheaper than it ever

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Speaker 2: has been. So there's more stuff going up, and the

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Speaker 2: running costs by twenty thirty could be you know, a

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Speaker 2: space based data center could be comparable to one on Earth.

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Speaker 3: And oh, obviously tired data Trader is a big thing.

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Speaker 1: And I just asked two two questions. One Tiff is

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Speaker 1: for you. Could you just look up what's the ten

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Speaker 1: pictura space? And I know space is fucking big, but

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Speaker 1: could you just find out like a range and Patrick two,

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Speaker 1: what is it? Arta center? Is that just like a

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Speaker 1: physical space with a bazillion like I'm picturing like a

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Speaker 1: fucking basketball stadium full of computers?

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Speaker 2: Is that pretty well? Is that they're not always as

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Speaker 2: big as a basketball court. But that's exactly what You're right,

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Speaker 2: You're right. It's artist is a place where they have

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Speaker 2: racks and racks of machines. So the computers are all

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Speaker 2: arranged in racks all the all the you know, the

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Speaker 2: big I get processing brains that we use for the

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Speaker 2: Internet and for AI and all the things that we

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Speaker 2: store and save and process on a constant basis. Because

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Speaker 2: when we think about a lot of what we do nowadays,

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Speaker 2: a lot of the processing is going on in the cloud.

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Speaker 2: When we talk about that, we talk about a data

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Speaker 2: center that's remote from our computer.

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Speaker 3: So our computers don't.

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Speaker 2: Have to be as powerful because the processing is going

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Speaker 2: on at the data center end. When you go to

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Speaker 2: chat GPT, all the smarts that go into answering your

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Speaker 2: question isn't happening on your computer. Your computers linked up

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Speaker 2: to the Data center.

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Speaker 1: Yeah, TIF, any answer for us? Does it say cold

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Speaker 1: as fuck?

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Speaker 4: It? Well, it says, says a whole bunch of stuff,

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Speaker 4: and then it says because that's how much Chatters talks

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Speaker 4: minus two hundred and seventy degrees celsius. In other words,

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Speaker 4: colder than your ex is heart after a messy breakup. Thanks. Check.

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Speaker 1: Oh look at chat GPT being funny.

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Speaker 4: Wow.

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Speaker 1: Wow, it also knows you Patrick's coffin his little testicles

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Speaker 1: out over there is mute in himself. Fucking hell, did

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Speaker 1: you just, Nellie, as my mum would say, did you

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Speaker 1: nearly have a fucking epoplexy? Whatever? That is.

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Speaker 3: What it epoplexy is? Tell us I look at epoplexy please.

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Speaker 1: I don't think it's a real word. But I do

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Speaker 1: have another question for you, which is not on your list.

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Speaker 1: My question is how do you think? In fact, both

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Speaker 1: of you all want your opinion, but we'll start with

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Speaker 1: you Patrick. So the ban on social media for sixteen

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Speaker 1: year olds comes in in the next week or two,

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Speaker 1: depending on what state you're in. How do you reckon

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Speaker 1: that's going to go? Mate? And why?

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Speaker 3: Yeah, smart kids will get around it.

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Speaker 2: VPNs get you know, using a virtual private network to

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Speaker 2: pretend that you're in another country. I mean, two minds

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Speaker 2: about this. I really feel that social media can be

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Speaker 2: quite damaging for young people if it's used, you know,

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Speaker 2: in the wrong ways. And we know that the algorithms

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Speaker 2: of a lot of social media aren't necessarily pro health

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Speaker 2: and well being and mental health. Now I worry for

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Speaker 2: kids in rural areas who are disenfranchised, who are disconnected.

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Speaker 2: You know, there was a recent article I read about

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Speaker 2: kids who go to boarding school. You know, they are

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Speaker 2: going to come home and separate from all their friends.

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Speaker 2: How do they contact each other? Most young people these

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Speaker 2: days you snapchat, which is a messaging service, but it

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Speaker 2: also delivers video, and that's the problem. That's why it's

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Speaker 2: included in the band. So they're not trying to stop

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Speaker 2: kids from talking to each other. But if the social

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Speaker 2: media platform that they're using to communicate also happens to

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Speaker 2: be a video delivery platform, then.

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Speaker 3: It's part of the band. And that's where, you know.

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Speaker 2: I had one of my mates came out from Adelaide

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Speaker 2: recently came across from Adelaide with his girlfriend and his

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Speaker 2: daughter and granddaughter, and I asked the thirteen year old

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Speaker 2: how she felt about because she's just on Snapchat for

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Speaker 2: the whole time talking to her boyfriend.

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Speaker 3: Boyfriend thirteen.

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Speaker 2: Wow, that was a bit of an eye open and

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Speaker 2: form constantly chatting to each other, video chatting, all that

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Speaker 2: sort of stuff. But the platform that they were on

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Speaker 2: is a platform that's going to get banned.

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Speaker 3: And so her mother was looking.

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Speaker 2: At how are we going to keep the kids connected?

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Speaker 2: And I think that that's the concern that I have.

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Speaker 2: I you know, and school parents giving kids permission to

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Speaker 2: use social media, giving them phones. You know, we in

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Speaker 2: a nanny state where everything that has to happen has

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Speaker 2: to be dictated by a government and legislation. You know,

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Speaker 2: whatever happened to parenting where we take responsibility for the

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Speaker 2: devices we're giving to kids, you know, and we trust them.

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Speaker 3: We trust that they're going to do the right thing.

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Speaker 2: We talk to them, we have adult conversations and we say, look,

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Speaker 2: this is what you need to look out for when

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Speaker 2: you're online. You know, you're not allowed to have your

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Speaker 2: phone in your room after a certain time. Friends of

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Speaker 2: mine do that, all the kids, all the family, including

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Speaker 2: the parents, put their phone the kitchen, the charge overnight.

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Speaker 3: They don't have their phones in their rooms.

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Speaker 2: So I get that the ban is important in some ways,

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Speaker 2: but I'm always mindful of being told to do something

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Speaker 2: that effectively takes that control away from parents and kids

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Speaker 2: and disenfranchisees children. You know, if you're a trans kid

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Speaker 2: living in the middle of the bush, you may lose

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Speaker 2: contact with your community online and it could be really

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Speaker 2: hard for them to connect with people their peers because

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Speaker 2: they don't have that in their own community.

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Speaker 1: I hate it when you and I agree, it's fucking annoying,

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Speaker 1: very annoying. What do you think? What do you think?

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Speaker 4: You know what I think? I wonder what the effect

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Speaker 4: of how it undermines real laws. So now something that

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Speaker 4: seemingly stupid becomes outlawed, so kids get desensitized to breaking

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Speaker 4: the law. Right, there's no deal. I'll just do this

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Speaker 4: and you're not legally allowed to Will I do it? Anyway?

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Speaker 1: I wonder this is a good question. I mean, maybe

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Speaker 1: I'm stating the obvis Is it a law.

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Speaker 3: Or is it?

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Speaker 1: Like? Is there is it a criminal act for a

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Speaker 1: fifteen year old to be on fucking Instagram? Like? Is

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Speaker 1: that a crime?

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Speaker 3: Is a question?

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Speaker 1: Yeah? I would Yeah, there's just a lot going on,

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Speaker 1: and I'm with you. I just look, we need we

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Speaker 1: need governance, and we need police and we need all

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Speaker 1: of that. Of course we do, and it's great and

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00:21:10,160 --> 00:21:14,080
Speaker 1: we're so grateful. But also like when you've got the

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Speaker 1: government saying your child can't do this, and it's not

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Speaker 1: like we're talking about running around with a machete, like

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Speaker 1: we're talking about using an app on a phone. As

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Speaker 1: you said, Patrick, in some cases, those kids having access

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Speaker 1: to other people via this medium is going to be

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Speaker 1: good for their health, good for their social life, good

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Speaker 1: for their state of mind. And I think to say

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Speaker 1: it's it's universally bad, so we need to well it isn't.

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Speaker 1: It isn't universally bad. Just like you know, it's like, well,

403
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Speaker 1: we can't have kids congregating in the fucking school yard

404
00:21:51,840 --> 00:21:56,040
Speaker 1: at lunchtime because bullying happens. Yeah, but ninety eight percent

405
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Speaker 1: of the time it's not happening, or ninety nine percent

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00:21:58,640 --> 00:22:02,440
Speaker 1: of the time it's like, well, bullying happens in the playground,

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Speaker 1: so we can't go to the playground. Ever, it doesn't work.

408
00:22:07,160 --> 00:22:10,320
Speaker 1: I just don't know that that is a solution.

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Speaker 2: But you raise the really valuable point in terms of

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00:22:13,960 --> 00:22:16,280
Speaker 2: you know, is a kid going to get fined for

411
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Speaker 2: being fifteen and having a Snapchat account using a VPN.

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Speaker 3: The laws in Australia are targeting the big.

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Speaker 2: Data, the big companies, so that you know, they're targeting Meta,

414
00:22:27,080 --> 00:22:30,520
Speaker 2: which owns Facebook and Instagram. They're targeting all of those

415
00:22:30,960 --> 00:22:35,080
Speaker 2: platforms and saying to them they have to put mechanisms

416
00:22:35,200 --> 00:22:38,919
Speaker 2: in place that don't allow young people to be on

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Speaker 2: if they're under the age of sixteen. So there's a

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Speaker 2: fifty million dollar fine if they aren't able to enforce that.

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Speaker 2: So they're throwing it on the tech companies to do

420
00:22:47,880 --> 00:22:51,040
Speaker 2: the right thing to enforce this ban. What does that

421
00:22:51,080 --> 00:22:53,560
Speaker 2: mean for an individual? I don't even know. That's such

422
00:22:53,600 --> 00:22:56,879
Speaker 2: a great question. But what I know is that fifty

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00:22:56,920 --> 00:23:00,879
Speaker 2: million dollar fine is going to go out to any

424
00:23:00,960 --> 00:23:04,160
Speaker 2: breaches that occur that they caught out. But the reality

425
00:23:04,200 --> 00:23:06,360
Speaker 2: of it is they're already talking about ways to get

426
00:23:06,400 --> 00:23:09,000
Speaker 2: around that. You know, if the tech company is using

427
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Speaker 2: a face scanner and you just get your older brother

428
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Speaker 2: to come on and say that they're you, and they

429
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Speaker 2: skip your face and suddenly I've got an account.

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Speaker 3: A VPN is where you get a virtual private.

431
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Speaker 2: Network and the computer that you're using or the device

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00:23:23,359 --> 00:23:26,880
Speaker 2: you're using it appears to be in another country, so

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Speaker 2: you can sign up in a country where they.

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Speaker 3: Don't have this bad. The rest of the world is

435
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Speaker 3: watching this.

436
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Speaker 2: You know, Australia has made the world stage in terms

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00:23:34,760 --> 00:23:36,960
Speaker 2: of the progressive nature.

438
00:23:36,640 --> 00:23:39,119
Speaker 3: Of what it's felt by a lot of the you know,

439
00:23:39,560 --> 00:23:40,959
Speaker 3: just child welfare groups.

440
00:23:41,600 --> 00:23:44,879
Speaker 2: So other countries are looking to do something similar and

441
00:23:44,880 --> 00:23:48,719
Speaker 2: they're watching really closely what's happening in Australia because this

442
00:23:48,800 --> 00:23:52,560
Speaker 2: is a big thing for us. But how it impacts

443
00:23:52,600 --> 00:23:55,800
Speaker 2: and what ends up happening is out there. We're not

444
00:23:55,840 --> 00:23:57,639
Speaker 2: going to know it or December ten. You might be

445
00:23:57,680 --> 00:24:00,520
Speaker 2: hearing this before or after. Tell us that's what happened.

446
00:24:01,520 --> 00:24:04,800
Speaker 1: Yeah, yeah, get back to us. Yeah. I don't know.

447
00:24:05,320 --> 00:24:08,320
Speaker 1: I just think there's a lot of a lot of

448
00:24:08,320 --> 00:24:13,520
Speaker 1: stuff that's kind of going into the space of people's

449
00:24:14,280 --> 00:24:18,119
Speaker 1: private lives and you know, I don't know. I don't know.

450
00:24:18,160 --> 00:24:23,000
Speaker 1: And also, are there people over sixteen who are using

451
00:24:23,000 --> 00:24:27,280
Speaker 1: it in unhealthy and toxic and destructive ways? Yes? Is

452
00:24:27,720 --> 00:24:31,480
Speaker 1: it doing potential damage to people over sixteen? I guess

453
00:24:31,520 --> 00:24:35,000
Speaker 1: it is. I just think it's like there needs to

454
00:24:35,040 --> 00:24:39,880
Speaker 1: be some kind of self regulation, like we can't have

455
00:24:39,960 --> 00:24:43,960
Speaker 1: the government forever telling individuals what they can and can't

456
00:24:43,960 --> 00:24:46,400
Speaker 1: do with their fucking phone or in their personal life.

457
00:24:46,440 --> 00:24:48,960
Speaker 1: I mean unless it's of a criminal nature.

458
00:24:49,040 --> 00:24:52,880
Speaker 2: But yeah, Patricks can I just say there are two

459
00:24:52,920 --> 00:24:57,280
Speaker 2: teenagers currently who have launched a High Court challenge to

460
00:24:57,440 --> 00:25:01,320
Speaker 2: this new law. By the way, what happened is that

461
00:25:03,160 --> 00:25:06,880
Speaker 2: fifteen year old's Noah Jones and Macy Neeland. They've been

462
00:25:06,920 --> 00:25:09,840
Speaker 2: backed by a welfare group, like a rights group, and

463
00:25:09,840 --> 00:25:13,240
Speaker 2: they're arguing the band completely disregards the rights of children

464
00:25:13,680 --> 00:25:16,960
Speaker 2: and they say, look, we shouldn't be so viilenced. It's

465
00:25:17,080 --> 00:25:21,680
Speaker 2: like the George Orwell book nine to eighty four. There

466
00:25:21,680 --> 00:25:23,679
Speaker 2: is another side to this, and that's the opinion of

467
00:25:23,720 --> 00:25:27,679
Speaker 2: young people as well. So the Digital Freedom Project basically

468
00:25:27,800 --> 00:25:31,400
Speaker 2: has spearheaded this case and they're filed in the High

469
00:25:31,400 --> 00:25:35,760
Speaker 2: Court just recently and they're saying that teenagers rely on

470
00:25:35,760 --> 00:25:41,000
Speaker 2: social media for information association and this ban could actually

471
00:25:41,680 --> 00:25:45,920
Speaker 2: hurt the nation's most vulnerable children, so people with a disability,

472
00:25:46,000 --> 00:25:51,119
Speaker 2: First Nations kids rule and remote kids, LGBTQ teenagers. So

473
00:25:51,760 --> 00:25:54,440
Speaker 2: these are the children and the young people who stand

474
00:25:54,480 --> 00:26:00,560
Speaker 2: to be disenfranchised by being disconnected from their social connectedness online. Look,

475
00:26:00,600 --> 00:26:03,399
Speaker 2: whether this goes through, I'm not sure. There's a new

476
00:26:03,440 --> 00:26:08,000
Speaker 2: South Wales parliamentarian, a god named John Raddick. He you know,

477
00:26:08,040 --> 00:26:10,320
Speaker 2: he's kind of weighed in on this as well. So

478
00:26:10,840 --> 00:26:13,800
Speaker 2: it's I don't know how much luck they'll have in

479
00:26:13,840 --> 00:26:16,000
Speaker 2: the case, but it's interesting that they're fighting back.

480
00:26:17,600 --> 00:26:20,679
Speaker 1: Let's keep our AI chat to just one top or

481
00:26:20,680 --> 00:26:23,920
Speaker 1: one story this week, but I'm interested in this one.

482
00:26:24,480 --> 00:26:29,320
Speaker 1: A backlash against AI imagery being used in ads may

483
00:26:29,359 --> 00:26:34,520
Speaker 1: have begun as brands promote human made well, there's a bit.

484
00:26:34,400 --> 00:26:35,600
Speaker 3: Of criticism recently.

485
00:26:36,359 --> 00:26:39,600
Speaker 2: H and M and Guess got a really big backlash

486
00:26:39,640 --> 00:26:44,240
Speaker 2: for using AI brand ambassadors where they've used virtual models

487
00:26:44,760 --> 00:26:47,800
Speaker 2: instead of humans, and so this is where it's come from.

488
00:26:47,880 --> 00:26:51,520
Speaker 2: So now companies are doing the exact opposite. So you know,

489
00:26:51,960 --> 00:26:54,760
Speaker 2: there's a now that in this backlash where advertisers are

490
00:26:54,800 --> 00:26:57,280
Speaker 2: saying this was made using real people.

491
00:26:57,440 --> 00:26:59,920
Speaker 3: We didn't use AI to create.

492
00:26:59,680 --> 00:27:03,159
Speaker 1: This how novel. Hey look this is a human. Her

493
00:27:03,280 --> 00:27:04,640
Speaker 1: name's Jane.

494
00:27:04,520 --> 00:27:11,159
Speaker 2: Yeah, so so Cadbury, Polaroid, Heineken. They're hating on AI

495
00:27:11,800 --> 00:27:15,760
Speaker 2: and they're celebrating their work as being human made work,

496
00:27:16,280 --> 00:27:19,120
Speaker 2: which is interesting, you know, and and when you take

497
00:27:19,200 --> 00:27:22,000
Speaker 2: it to the extreme, there was this guy, I can't

498
00:27:22,040 --> 00:27:24,080
Speaker 2: remember where he might have been, an American guy. He

499
00:27:24,160 --> 00:27:28,239
Speaker 2: developed an AI model of an African American woman and

500
00:27:28,280 --> 00:27:31,439
Speaker 2: it looked stunning and he and the thing is, but

501
00:27:31,520 --> 00:27:35,760
Speaker 2: he was a white man who made an African American

502
00:27:35,840 --> 00:27:38,840
Speaker 2: model and was trying to get money from that using

503
00:27:38,960 --> 00:27:44,199
Speaker 2: that AI person that didn't exist, you know. So you know,

504
00:27:44,240 --> 00:27:47,440
Speaker 2: when you think of it in those terms, either misrepresentation

505
00:27:48,040 --> 00:27:51,919
Speaker 2: or what does it actually mean? Coca Cola did their

506
00:27:52,000 --> 00:27:56,200
Speaker 2: Christmas campaign, They did a Christmas AI ad campaign and

507
00:27:56,280 --> 00:27:58,960
Speaker 2: they've they've they've you know, it looks magical and it's

508
00:27:58,960 --> 00:28:02,480
Speaker 2: got polar bears doing rate things and trains and Christmassy stuff.

509
00:28:02,520 --> 00:28:04,199
Speaker 2: But you know, at the end of the day, you

510
00:28:04,240 --> 00:28:06,240
Speaker 2: look at it and you think, oh, isn't it sad

511
00:28:06,480 --> 00:28:10,760
Speaker 2: that it wasn't made by people in a sweatshop somewhere.

512
00:28:10,880 --> 00:28:11,680
Speaker 3: No, that's not true.

513
00:28:12,720 --> 00:28:16,679
Speaker 1: People Animators spoken and authorized by Patrick Bonello. His thoughts

514
00:28:16,680 --> 00:28:21,720
Speaker 1: don't reflect all the thoughts of the project management. Now.

515
00:28:21,800 --> 00:28:24,080
Speaker 2: But when you think about people who work in the

516
00:28:24,080 --> 00:28:25,359
Speaker 2: film industry and.

517
00:28:25,600 --> 00:28:28,560
Speaker 1: Work definitely date edit that out too, just leave that in.

518
00:28:29,520 --> 00:28:34,280
Speaker 1: And I joking, when is what's your lawyer's name? Again?

519
00:28:35,720 --> 00:28:38,440
Speaker 2: Well, they just resigned after hearing this segment, So I

520
00:28:38,480 --> 00:28:40,320
Speaker 2: don't have one if you're a lawyer and you want

521
00:28:40,360 --> 00:28:42,520
Speaker 2: to represent me, because I've put my foot in my mouth.

522
00:28:45,960 --> 00:28:48,720
Speaker 2: But I guess the other thing is in the film

523
00:28:48,760 --> 00:28:52,520
Speaker 2: industry at the moment, using AI, it can also mean

524
00:28:52,680 --> 00:28:56,080
Speaker 2: that we can just use these AI tools to help

525
00:28:56,160 --> 00:28:59,480
Speaker 2: with you know, improving the quality of the product. So

526
00:28:59,760 --> 00:29:03,200
Speaker 2: what point do we not recognize that AI is just

527
00:29:03,240 --> 00:29:05,600
Speaker 2: a useful tool exactly?

528
00:29:05,680 --> 00:29:08,280
Speaker 1: And it depends I think like many things like social

529
00:29:08,320 --> 00:29:11,680
Speaker 1: media apps like CGI or AI as we're talking about,

530
00:29:12,440 --> 00:29:14,719
Speaker 1: it depends on the use. It depends on the application.

531
00:29:15,080 --> 00:29:18,040
Speaker 1: Like it's not like all AI is doing bad things

532
00:29:18,200 --> 00:29:21,880
Speaker 1: or you know when when they do, when they produce

533
00:29:21,960 --> 00:29:24,480
Speaker 1: AI that can do an operation on me with ninety

534
00:29:24,520 --> 00:29:29,840
Speaker 1: nine point nine nine nine percent accuracy or success versus

535
00:29:29,840 --> 00:29:33,480
Speaker 1: a much lower figure for a human. I'm choosing the AI. Yeah,

536
00:29:33,520 --> 00:29:35,760
Speaker 1: you know what I'm saying, Like if it's life and death,

537
00:29:37,520 --> 00:29:39,200
Speaker 1: you know, I think over time we're going to find

538
00:29:39,240 --> 00:29:41,160
Speaker 1: more and more. And we've spoken about this a little bit,

539
00:29:41,160 --> 00:29:45,680
Speaker 1: but autonomous vehicles, and yes, can autonomous vehicles crass? Yes?

540
00:29:46,200 --> 00:29:49,840
Speaker 1: Can they all these things. Yes, can human driven vehicles crash,

541
00:29:50,080 --> 00:29:52,880
Speaker 1: We'll just fucking look out the window, you know. So

542
00:29:53,720 --> 00:29:56,560
Speaker 1: I think there's going to be over time, there has

543
00:29:56,640 --> 00:30:00,000
Speaker 1: to be just more and more acceptance and less resistant.

544
00:30:00,240 --> 00:30:04,160
Speaker 1: And it's you know, by the time Patrick Craigan Tiff

545
00:30:04,200 --> 00:30:06,520
Speaker 1: two point zero are sitting on a podcast, not that

546
00:30:06,560 --> 00:30:09,800
Speaker 1: there'll be any in thirty years, they're going to go,

547
00:30:09,880 --> 00:30:13,520
Speaker 1: remember those old dinosaurs who used to fucking drive themselves around,

548
00:30:14,320 --> 00:30:18,680
Speaker 1: Remember when actors in movies were biological not technological. They'll

549
00:30:18,720 --> 00:30:21,560
Speaker 1: be like, what was that about? What a weird phase

550
00:30:21,600 --> 00:30:25,360
Speaker 1: of the human kind of evolution was that? I like

551
00:30:25,480 --> 00:30:28,040
Speaker 1: all the shit that we're jumping up and down about now,

552
00:30:29,000 --> 00:30:32,440
Speaker 1: we've done that for centuries, eon, for fucking millennia. Where

553
00:30:32,600 --> 00:30:35,960
Speaker 1: something new comes along and everyone protests and says it's

554
00:30:35,960 --> 00:30:37,520
Speaker 1: going to be the end of the world. Rock and

555
00:30:37,600 --> 00:30:40,880
Speaker 1: roll music, it's the devil's music. It's going to destroy that.

556
00:30:41,040 --> 00:30:44,680
Speaker 1: You know, it doesn't. It's you know, not that there

557
00:30:44,680 --> 00:30:47,880
Speaker 1: needs to be no policing or no regulation, but I'm

558
00:30:47,920 --> 00:30:50,479
Speaker 1: pretty sure it's going to becoming more and more ingrained

559
00:30:50,520 --> 00:30:55,240
Speaker 1: in who we are and how we operate. I've been

560
00:30:55,320 --> 00:30:57,880
Speaker 1: fortunate that over the years, I've gone to a few

561
00:30:57,960 --> 00:31:03,320
Speaker 1: lost arts expos where you find artisans and people who

562
00:31:03,360 --> 00:31:08,640
Speaker 1: have retained these lost arts, like Blacksmith's, you know. And

563
00:31:08,880 --> 00:31:12,600
Speaker 1: I bought a fireplace poker, which was amazing. It was

564
00:31:12,640 --> 00:31:13,720
Speaker 1: this wrought iron.

565
00:31:13,480 --> 00:31:16,920
Speaker 2: Poker with a wizard's head formed out of the metal

566
00:31:16,960 --> 00:31:19,960
Speaker 2: at the top. And it was just stunning and it

567
00:31:20,080 --> 00:31:22,080
Speaker 2: was great to know that a craftsman had made and

568
00:31:22,200 --> 00:31:22,720
Speaker 2: made that.

569
00:31:23,160 --> 00:31:25,360
Speaker 3: And it was what are you laughing and the TIFFs

570
00:31:25,440 --> 00:31:26,080
Speaker 3: laughing at me?

571
00:31:26,360 --> 00:31:28,080
Speaker 1: But a wizard's head?

572
00:31:28,360 --> 00:31:30,160
Speaker 3: Wow? I had a wizards head on one end.

573
00:31:30,680 --> 00:31:33,680
Speaker 1: Yeah, do you actually have a fire they have?

574
00:31:33,880 --> 00:31:35,440
Speaker 3: Of course they have a fireplace. Well would I buy

575
00:31:35,480 --> 00:31:37,520
Speaker 3: a fireplace poker without a fireplace?

576
00:31:37,680 --> 00:31:41,280
Speaker 1: Fucking what? You would buy a fucking spaceship.

577
00:31:41,840 --> 00:31:44,840
Speaker 3: I would buy a spaceship if I could exactly.

578
00:31:45,680 --> 00:31:48,320
Speaker 1: I don't think. Knowing you, I wouldn't expect you would

579
00:31:48,480 --> 00:31:53,000
Speaker 1: need to have a fire to buy yourself a fireplace poker.

580
00:31:54,880 --> 00:31:59,760
Speaker 1: All right, let's talk tech. Soft robotic elbow cuts muscle

581
00:31:59,800 --> 00:32:02,640
Speaker 1: act activity. What does that even mean? Soft robotic elbow

582
00:32:02,720 --> 00:32:07,760
Speaker 1: cuts muscle activity by Oh, okay, people, it does some

583
00:32:07,840 --> 00:32:10,280
Speaker 1: of it does some of the work of lifting, does it?

584
00:32:10,600 --> 00:32:10,840
Speaker 3: Yes?

585
00:32:10,960 --> 00:32:14,000
Speaker 2: So it's made of silicon, it's an exoskeleton, and it's

586
00:32:14,120 --> 00:32:17,240
Speaker 2: it's very light. And what it does is if you

587
00:32:17,360 --> 00:32:21,120
Speaker 2: do any any work, say in a factory work potentially

588
00:32:21,200 --> 00:32:24,720
Speaker 2: where you've got this repetitive movement, it means that there's

589
00:32:24,800 --> 00:32:27,680
Speaker 2: less strain, so it takes up twenty two percent of

590
00:32:27,400 --> 00:32:31,280
Speaker 2: the force can be absorbed by this, and this could

591
00:32:31,320 --> 00:32:34,680
Speaker 2: be revolutionary for factory workers around the world. It means

592
00:32:34,760 --> 00:32:38,600
Speaker 2: that you know less pain RSI all that sort of stuff.

593
00:32:38,960 --> 00:32:44,400
Speaker 2: So University of Texas and Arlington they developed this robotic exoskeleon.

594
00:32:45,560 --> 00:32:48,440
Speaker 2: But it also so it's not about also supporting the joint,

595
00:32:48,720 --> 00:32:51,360
Speaker 2: but it also literally lifts the load. So whatever you're

596
00:32:51,360 --> 00:32:54,040
Speaker 2: carrying is twenty two percent lighter, or it would feel

597
00:32:54,040 --> 00:32:55,960
Speaker 2: twenty two percent lighter. That'd be great in the gym,

598
00:32:55,960 --> 00:32:58,600
Speaker 2: wouldn't it, Tiff, And you can put those extra weights

599
00:32:58,600 --> 00:32:59,280
Speaker 2: and create.

600
00:33:01,160 --> 00:33:04,640
Speaker 1: Nah, that would be from a training point of view,

601
00:33:04,640 --> 00:33:06,600
Speaker 1: but from the work point of view, and I'm looking

602
00:33:06,680 --> 00:33:10,200
Speaker 1: after yourself, yeah, I mean that is that's not the

603
00:33:10,240 --> 00:33:14,120
Speaker 1: worst thing at all. Tell me why pre owned gadgets

604
00:33:14,200 --> 00:33:17,760
Speaker 1: are becoming a thing? Why is there more and more

605
00:33:17,760 --> 00:33:22,480
Speaker 1: prevalence of people Is it buying pre owned stuff. Yeah, yeah, Well.

606
00:33:22,360 --> 00:33:26,080
Speaker 2: There's a bigger market now in refurbished so you know,

607
00:33:26,120 --> 00:33:28,640
Speaker 2: when you look for new phones or phones.

608
00:33:28,440 --> 00:33:30,560
Speaker 3: There's a lot of recent furbished stuff out there.

609
00:33:30,560 --> 00:33:33,520
Speaker 2: And I think it's gone from the days of your

610
00:33:33,600 --> 00:33:37,760
Speaker 2: eBay purchase of a dodgy device to just something now

611
00:33:37,880 --> 00:33:41,680
Speaker 2: where they're refurbished, they come with warranties, and as people

612
00:33:41,680 --> 00:33:44,520
Speaker 2: are more budget conscious, the reality.

613
00:33:44,120 --> 00:33:47,040
Speaker 3: Of it is, you know the majority.

614
00:33:47,480 --> 00:33:50,640
Speaker 2: Of people are just going to be as happy with

615
00:33:50,800 --> 00:33:54,040
Speaker 2: an iPhone thirteen than they would with a fourteen or fifty,

616
00:33:54,040 --> 00:33:55,600
Speaker 2: you know what I mean. You don't have to have

617
00:33:55,680 --> 00:33:57,600
Speaker 2: a two and a half thousand dollars phone if you

618
00:33:57,600 --> 00:33:59,520
Speaker 2: can get one for six hundred bucks and it's going

619
00:33:59,520 --> 00:34:02,080
Speaker 2: to do just as much. And there's always going to

620
00:34:02,120 --> 00:34:04,120
Speaker 2: be percentage of people who will queue up to get

621
00:34:04,160 --> 00:34:05,880
Speaker 2: the next phone, and then they're going to.

622
00:34:05,800 --> 00:34:06,880
Speaker 3: Offload their old phone.

623
00:34:06,960 --> 00:34:10,920
Speaker 2: So if you're flipping your phone literally every twelve months,

624
00:34:11,200 --> 00:34:14,319
Speaker 2: then there's really good quality stuff out there. I think

625
00:34:14,320 --> 00:34:18,279
Speaker 2: I've talked about this before. I haven't purchased a television

626
00:34:18,400 --> 00:34:21,360
Speaker 2: for probably twenty years, and I know I sound like

627
00:34:21,400 --> 00:34:24,479
Speaker 2: the tight ass, but I just know stacks of people

628
00:34:24,560 --> 00:34:26,840
Speaker 2: who get rid of television's regularly because they want to

629
00:34:26,840 --> 00:34:29,560
Speaker 2: go to the later and greater model, and so I

630
00:34:29,760 --> 00:34:32,319
Speaker 2: just buy their old TVs, or in many cases get

631
00:34:32,360 --> 00:34:35,640
Speaker 2: given them because they just want to offload them, you know, freedomine.

632
00:34:35,920 --> 00:34:38,080
Speaker 2: I got given a TV by my brother which was

633
00:34:38,120 --> 00:34:39,120
Speaker 2: seventy five inches.

634
00:34:39,320 --> 00:34:42,719
Speaker 3: It's enormous, like Green TV. But he went to an

635
00:34:42,719 --> 00:34:43,480
Speaker 3: eighty two inch.

636
00:34:44,400 --> 00:34:48,040
Speaker 1: Wow, I'll take it. What There's a whole lot of

637
00:34:48,080 --> 00:34:50,400
Speaker 1: conversations we could have off the back of that. You know.

638
00:34:50,440 --> 00:34:53,920
Speaker 1: One of my favorite old school like gadgets. I don't

639
00:34:53,920 --> 00:34:55,600
Speaker 1: know if I've told you this. I might have, but

640
00:34:56,400 --> 00:34:58,480
Speaker 1: I've got a game Boy from nine and I think

641
00:34:58,480 --> 00:35:03,160
Speaker 1: it's nine ninety seven, so you know that that classic size,

642
00:35:03,560 --> 00:35:05,799
Speaker 1: and it's got Tetris. It's you know how you put

643
00:35:05,800 --> 00:35:08,520
Speaker 1: in the discs. Yep, so it's got the old one

644
00:35:08,560 --> 00:35:12,440
Speaker 1: you put that in the back came literally, what's that?

645
00:35:12,719 --> 00:35:15,800
Speaker 3: It's a cartridge, not a disc? Thank you cartridge.

646
00:35:16,239 --> 00:35:18,480
Speaker 1: I found that It must have been in my cupboard

647
00:35:18,560 --> 00:35:22,319
Speaker 1: for oh twenty years, and I pulled it out and

648
00:35:22,320 --> 00:35:24,920
Speaker 1: I went, oh, I'll put a battery in. It's fucking

649
00:35:24,960 --> 00:35:28,799
Speaker 1: brand new, brand new, awesome. Yeah, it's the best, and

650
00:35:28,840 --> 00:35:32,800
Speaker 1: it's lime green. It's disgusting lime green, but it's also

651
00:35:32,880 --> 00:35:36,600
Speaker 1: the best color ever. So and then I usually lose

652
00:35:36,640 --> 00:35:39,120
Speaker 1: myself down the Tetris rabbit hole for three days and

653
00:35:39,120 --> 00:35:41,200
Speaker 1: then put it back in the cupboard for another two years.

654
00:35:41,680 --> 00:35:44,120
Speaker 3: My being an identical twin brother.

655
00:35:44,480 --> 00:35:48,840
Speaker 2: When we were kids and the first electronic games came out,

656
00:35:49,120 --> 00:35:50,760
Speaker 2: we both got given game.

657
00:35:50,920 --> 00:35:52,480
Speaker 3: We usually given gifts to share.

658
00:35:52,800 --> 00:35:55,080
Speaker 2: Who gives a gift to two kids to share just

659
00:35:55,120 --> 00:35:56,719
Speaker 2: because we share a same birthday?

660
00:35:57,000 --> 00:35:58,320
Speaker 3: I don't hear a gift.

661
00:35:58,480 --> 00:36:01,840
Speaker 2: How many of those days ended in fights and tears?

662
00:36:01,880 --> 00:36:03,080
Speaker 3: Do you reckon? So?

663
00:36:04,080 --> 00:36:08,640
Speaker 2: Anyway, it's such tight ass as your relatives at a

664
00:36:08,680 --> 00:36:09,920
Speaker 2: working class suburbs.

665
00:36:09,920 --> 00:36:15,520
Speaker 1: Shut up relatives, fucking do better. Two presents, two kids.

666
00:36:14,760 --> 00:36:18,440
Speaker 3: My favorite auntie. I love her to death. She's awesome.

667
00:36:18,480 --> 00:36:21,319
Speaker 2: She's my godmother and she's Irish as well. So she

668
00:36:21,480 --> 00:36:23,360
Speaker 2: just did this whole Patrick. She loved me because I

669
00:36:23,400 --> 00:36:25,200
Speaker 2: was My name is Patrick. I think that was the

670
00:36:25,239 --> 00:36:28,440
Speaker 2: other reason. But she always just to make a big

671
00:36:28,440 --> 00:36:29,680
Speaker 2: big thing about it. But she used to give us

672
00:36:29,680 --> 00:36:31,880
Speaker 2: the Guinness Book of World Records. Of course it was Guinness.

673
00:36:31,880 --> 00:36:34,279
Speaker 2: Why am I thinking that was funny? So she used

674
00:36:34,320 --> 00:36:35,920
Speaker 2: to give us to give us book and world records

675
00:36:35,960 --> 00:36:40,319
Speaker 2: to share to share, and we fought over it every year.

676
00:36:40,719 --> 00:36:43,200
Speaker 2: But anyway, getting back to computer games, So I've got

677
00:36:43,200 --> 00:36:50,280
Speaker 2: this two person robot fighting game where one person has

678
00:36:50,520 --> 00:36:52,600
Speaker 2: like a little buttons on one side, another person on

679
00:36:52,640 --> 00:36:55,640
Speaker 2: the other side, and two robots basically fire weapons.

680
00:36:55,360 --> 00:36:57,160
Speaker 3: At each other. And then the other one was remember

681
00:36:57,200 --> 00:36:59,960
Speaker 3: Galaxian the game Galaxian.

682
00:37:00,160 --> 00:37:05,080
Speaker 1: Two people anybody I might, I think I know the name,

683
00:37:05,080 --> 00:37:06,040
Speaker 1: but I've never played it.

684
00:37:07,920 --> 00:37:10,520
Speaker 2: So we again had a two person game where one

685
00:37:10,520 --> 00:37:12,560
Speaker 2: person stood on the other side and they had their

686
00:37:12,600 --> 00:37:14,840
Speaker 2: controls and they were looking down at the screen and

687
00:37:14,880 --> 00:37:18,400
Speaker 2: they played the aliens and you played the person defending.

688
00:37:18,560 --> 00:37:21,200
Speaker 2: So they were both two people games. And so years later,

689
00:37:21,280 --> 00:37:23,000
Speaker 2: and I think I moved up to Blant at this point,

690
00:37:23,000 --> 00:37:25,880
Speaker 2: but we're talking maybe ten years ago. My brother said, jeez,

691
00:37:25,880 --> 00:37:28,240
Speaker 2: you know, I wonder whatever happened to all those games

692
00:37:28,239 --> 00:37:30,520
Speaker 2: that we got, And I reckon Dad threw them all away,

693
00:37:30,960 --> 00:37:33,720
Speaker 2: and it's like, no, when I moved out of home.

694
00:37:33,640 --> 00:37:35,000
Speaker 3: I took them still.

695
00:37:36,400 --> 00:37:38,719
Speaker 1: So your brother doesn't know he does that.

696
00:37:41,400 --> 00:37:43,680
Speaker 2: I admitted it now. I admitted it, and I said,

697
00:37:44,040 --> 00:37:48,680
Speaker 2: actually I've got them he was so outraged that I'd

698
00:37:48,760 --> 00:37:51,480
Speaker 2: taken them. It's like, well, you know I was repatriating them.

699
00:37:51,560 --> 00:37:52,600
Speaker 2: You know they were mine too.

700
00:37:54,680 --> 00:37:58,600
Speaker 1: Now you've got a hybrid. I've got a hybrid. Yeah, yeah,

701
00:37:58,640 --> 00:38:02,800
Speaker 1: it does not. You are a hybrid. You are thirty

702
00:38:02,800 --> 00:38:07,720
Speaker 1: percent female, seventy percent male. We've jumped now the numbers

703
00:38:07,760 --> 00:38:14,120
Speaker 1: have changed seventy thirty the other way, China have produced

704
00:38:14,200 --> 00:38:18,880
Speaker 1: a hybrid EV that drove one thousand and four hundred

705
00:38:18,880 --> 00:38:22,399
Speaker 1: and forty four miles on well it's not really a tank,

706
00:38:22,480 --> 00:38:26,600
Speaker 1: but let's call it one tank without refueling. Now, off

707
00:38:26,640 --> 00:38:28,880
Speaker 1: the top of my head, I feel like fourteen forty

708
00:38:28,920 --> 00:38:33,879
Speaker 1: five miles is significantly over two thousand kilometers on one

709
00:38:34,200 --> 00:38:36,880
Speaker 1: basically one fueling. That's pretty incredible.

710
00:38:37,120 --> 00:38:40,600
Speaker 2: Yep, two thousand and three hundred and twenty five kilometers

711
00:38:40,719 --> 00:38:42,000
Speaker 2: is exactly how it went.

712
00:38:42,160 --> 00:38:42,399
Speaker 3: Yeah.

713
00:38:42,600 --> 00:38:45,759
Speaker 2: So it's a Chinese car company called four FAW and

714
00:38:46,040 --> 00:38:47,440
Speaker 2: this is a new milestone.

715
00:38:47,520 --> 00:38:53,239
Speaker 3: So they had a hong g HS six. The Hong

716
00:38:53,360 --> 00:38:54,840
Speaker 3: g HS six.

717
00:38:54,640 --> 00:38:56,480
Speaker 1: Sounds pretty sick, that old chestnut.

718
00:38:58,120 --> 00:39:02,080
Speaker 2: It's a plug in hybrid SU and it's set the

719
00:39:02,080 --> 00:39:05,440
Speaker 2: Guinness World Record for the longest distance traveled on a

720
00:39:05,480 --> 00:39:09,560
Speaker 2: single full charge and tank of fuel so without the

721
00:39:09,640 --> 00:39:11,560
Speaker 2: need to refuel.

722
00:39:11,400 --> 00:39:13,880
Speaker 3: And that's a staggering amount of distance.

723
00:39:14,800 --> 00:39:20,640
Speaker 1: Is the challenge for evs is the biggest hurdle. I

724
00:39:20,640 --> 00:39:23,440
Speaker 1: know there's a few, but is it just charging time

725
00:39:24,040 --> 00:39:28,000
Speaker 1: for making them really really commercially viable and popular? You know,

726
00:39:28,040 --> 00:39:31,080
Speaker 1: because I can go fill my little Suzuki Swift in

727
00:39:31,160 --> 00:39:33,560
Speaker 1: three minutes with enough gas to get me around for

728
00:39:33,600 --> 00:39:36,680
Speaker 1: the next week or two. But if I'm going to

729
00:39:36,719 --> 00:39:39,520
Speaker 1: do the same with my I don't know, Tesla or whatever,

730
00:39:39,600 --> 00:39:42,200
Speaker 1: depending on which one I've got or which Chinese EV,

731
00:39:42,920 --> 00:39:45,200
Speaker 1: it could be eight to ten hours, depending on how

732
00:39:45,200 --> 00:39:47,759
Speaker 1: I do it. Is that their challenge moving forward to

733
00:39:47,800 --> 00:39:48,880
Speaker 1: get that time down.

734
00:39:49,400 --> 00:39:51,239
Speaker 3: No, yes or no.

735
00:39:52,320 --> 00:39:55,479
Speaker 2: I do agree that that is problematic when we're living

736
00:39:55,480 --> 00:39:59,040
Speaker 2: in a country where range anxiety is an issue. But

737
00:39:59,120 --> 00:40:02,040
Speaker 2: the reality of it is the average Australian isn't going

738
00:40:02,080 --> 00:40:05,840
Speaker 2: to drive more than three or four hundred kilometers in

739
00:40:05,840 --> 00:40:08,879
Speaker 2: a day. They're going to commute to work, and if

740
00:40:08,880 --> 00:40:12,160
Speaker 2: you're charging, you're going to charge overnight and going to

741
00:40:12,200 --> 00:40:14,760
Speaker 2: a charging state. You can go somewhere to a charging

742
00:40:14,840 --> 00:40:18,080
Speaker 2: point and charge for twenty minutes and get it eighty

743
00:40:18,080 --> 00:40:19,719
Speaker 2: percent of range, so you don't have to.

744
00:40:19,680 --> 00:40:22,000
Speaker 3: Do that for eight hours whatever it is to go

745
00:40:22,040 --> 00:40:22,760
Speaker 3: to a full charge.

746
00:40:22,800 --> 00:40:24,640
Speaker 2: And in fact, the argument is that you should never

747
00:40:24,920 --> 00:40:27,080
Speaker 2: charge your car to full charge. It should sit between

748
00:40:27,080 --> 00:40:30,040
Speaker 2: the eighty and twenty mark, not get below twenty, but not.

749
00:40:29,960 --> 00:40:30,920
Speaker 3: Get above eighty.

750
00:40:31,640 --> 00:40:34,640
Speaker 2: So I think, really, when we think about any hurdles

751
00:40:34,640 --> 00:40:38,720
Speaker 2: to evs, I don't think range anxiety is the issue,

752
00:40:39,000 --> 00:40:40,400
Speaker 2: because the reality of it is.

753
00:40:40,600 --> 00:40:42,560
Speaker 3: I mean, think about it. How often do you drive?

754
00:40:42,840 --> 00:40:45,400
Speaker 2: I mean, if an average range of an EV is

755
00:40:45,440 --> 00:40:48,040
Speaker 2: four hundred and fifty kilometers, how often do you drive

756
00:40:48,080 --> 00:40:49,920
Speaker 2: four hundred and fifty kilometers?

757
00:40:50,920 --> 00:40:52,840
Speaker 1: I do regularly because I go up and back to

758
00:40:52,960 --> 00:40:56,960
Speaker 1: mums in a day, Mom and dads. Yeah, but fourred

759
00:40:57,040 --> 00:40:59,239
Speaker 1: if it actually did that, well, that would cover me.

760
00:40:59,440 --> 00:41:02,200
Speaker 1: That would be because I think it's it's probably only

761
00:41:02,239 --> 00:41:05,600
Speaker 1: about three hundred three fifty maybe depending on if I

762
00:41:05,600 --> 00:41:08,480
Speaker 1: do a little bit of yeah, a little bit of extra.

763
00:41:08,560 --> 00:41:11,799
Speaker 1: But you know, one thing that's probably a bit more

764
00:41:11,800 --> 00:41:14,160
Speaker 1: in my wheel house than yours. But one thing that's

765
00:41:14,200 --> 00:41:17,240
Speaker 1: not really taken off is electric motorbikes.

766
00:41:17,760 --> 00:41:18,000
Speaker 4: Yeah.

767
00:41:18,040 --> 00:41:18,839
Speaker 3: Interesting, isn't it.

768
00:41:18,840 --> 00:41:23,080
Speaker 2: Because there was a partnership between Suzuki and a few

769
00:41:23,080 --> 00:41:25,840
Speaker 2: other of the big players, and they were talking about

770
00:41:25,840 --> 00:41:29,680
Speaker 2: swappable batteries. The itea was that you drove into a servo,

771
00:41:30,040 --> 00:41:32,279
Speaker 2: dropped the battery, put the new battery in drive off,

772
00:41:32,400 --> 00:41:36,279
Speaker 2: a bit like you know, exchanging your gas cylinder with barbecues.

773
00:41:36,520 --> 00:41:38,359
Speaker 2: And it made so much sense, and in fact, they

774
00:41:38,440 --> 00:41:41,719
Speaker 2: teed up like three of the biggest manufacturers said, let's

775
00:41:41,760 --> 00:41:44,840
Speaker 2: standardize the battery, let's be consistent, so we can have

776
00:41:44,880 --> 00:41:48,000
Speaker 2: this swap and go mentality. And it sounded like such

777
00:41:48,000 --> 00:41:52,560
Speaker 2: a good idea. And we've seen some amazing looking electric bikes.

778
00:41:53,200 --> 00:41:55,040
Speaker 2: But I don't know whether it's a power to wait

779
00:41:55,160 --> 00:41:57,800
Speaker 2: ratio in terms of whether or not you can cramp.

780
00:41:57,840 --> 00:41:59,880
Speaker 2: I mean, people are riding scooters all the time, so

781
00:42:00,280 --> 00:42:03,520
Speaker 2: I don't know why it wouldn't be a thing, But yeah, definitely,

782
00:42:03,560 --> 00:42:07,480
Speaker 2: scooters are slowly catching on. But I think you'll find

783
00:42:08,800 --> 00:42:11,360
Speaker 2: so quite a few friends of the show, Scotti Douglas

784
00:42:11,400 --> 00:42:13,840
Speaker 2: who rides a motorbike, and Tip rides a motorbike, and

785
00:42:13,920 --> 00:42:14,960
Speaker 2: she's got a loud bike.

786
00:42:15,320 --> 00:42:21,759
Speaker 1: I've got stupid loud bike. Scott's got most. I think

787
00:42:22,000 --> 00:42:25,360
Speaker 1: bikes are more emotional than practical. I mean they're practical,

788
00:42:25,880 --> 00:42:28,479
Speaker 1: but It's like, I don't want a bike that makes

789
00:42:28,520 --> 00:42:32,480
Speaker 1: no noise for two reasons. One safety, If you've got

790
00:42:32,480 --> 00:42:34,560
Speaker 1: a loud bike, people know you're there. They're less likely

791
00:42:34,600 --> 00:42:36,799
Speaker 1: to pull in front of you, cut you off, you know,

792
00:42:36,960 --> 00:42:39,640
Speaker 1: open their door on you. You know, you don't want

793
00:42:39,640 --> 00:42:42,680
Speaker 1: it to be overwhelmingly thunderous, but if you are on

794
00:42:42,719 --> 00:42:44,560
Speaker 1: a motorbike, you would like it to be a little

795
00:42:44,560 --> 00:42:48,440
Speaker 1: bit louder than the average car. And then two, as

796
00:42:48,480 --> 00:42:53,239
Speaker 1: an experience, riding a motorbike that sounds amazing. It just

797
00:42:53,280 --> 00:42:56,160
Speaker 1: makes it more enjoyable. And people who don't ride motorbikes,

798
00:42:56,239 --> 00:42:59,000
Speaker 1: I totally understand they would go, well, that's fucking ridiculous.

799
00:42:59,719 --> 00:43:04,799
Speaker 1: But you know, there's something, there's something that happens when

800
00:43:04,800 --> 00:43:07,440
Speaker 1: you ride a motorbike that sounds amazing. Am I right, Tiff,

801
00:43:07,880 --> 00:43:08,520
Speaker 1: that is correct.

802
00:43:08,560 --> 00:43:11,080
Speaker 4: But I would like to add that Craig's bike is

803
00:43:11,239 --> 00:43:19,000
Speaker 4: overwhelmingly thunderous. Overwhelmingly so he's well Mary and Ron can

804
00:43:19,040 --> 00:43:22,840
Speaker 4: hear it start up way down there in till Drove Valley?

805
00:43:24,160 --> 00:43:27,600
Speaker 1: Yeah, that that bitch is loud, That motherfucker is. Let's

806
00:43:27,719 --> 00:43:32,839
Speaker 1: just say that. Let's just say that I might need

807
00:43:32,880 --> 00:43:34,960
Speaker 1: to just when I ride it up Hampton Street. I

808
00:43:35,120 --> 00:43:40,880
Speaker 1: just I don't even I just gently roll that. I

809
00:43:41,000 --> 00:43:44,160
Speaker 1: just I just ease that throttle on, change gears, quiet,

810
00:43:44,160 --> 00:43:48,000
Speaker 1: I try and be low key. It's it's like, please

811
00:43:48,440 --> 00:43:51,320
Speaker 1: don't notice that I'm riding a volcano up Hampton Street.

812
00:43:52,280 --> 00:43:56,040
Speaker 4: But yeah, it's a lot electric car. Because of that,

813
00:43:56,120 --> 00:43:57,960
Speaker 4: now it's electric car. I would not have an electric

814
00:43:58,000 --> 00:44:01,680
Speaker 4: bike since getting that, since riding with knowing with a

815
00:44:01,880 --> 00:44:06,400
Speaker 4: stock exhaust and then changing the exhaust completely transformed the

816
00:44:06,440 --> 00:44:07,440
Speaker 4: writing experience.

817
00:44:07,680 --> 00:44:13,000
Speaker 2: And yeah, sorry it makes you sorry. Did you say

818
00:44:13,120 --> 00:44:14,040
Speaker 2: you've made it louder?

819
00:44:14,520 --> 00:44:18,880
Speaker 4: Yeah, oh okay, not louder than Craigs.

820
00:44:19,160 --> 00:44:24,880
Speaker 1: No, no, So I was thinking, yeah, all the pseudo

821
00:44:24,960 --> 00:44:27,439
Speaker 1: psychologists and oh, of course he's got it loud because

822
00:44:27,440 --> 00:44:30,439
Speaker 1: he's fucking insecure, and that that exhausted just saying look

823
00:44:30,440 --> 00:44:34,080
Speaker 1: at me, look at me, only child, and might I say,

824
00:44:34,080 --> 00:44:38,319
Speaker 1: you're probably all correct, so carry on, you carry on.

825
00:44:39,080 --> 00:44:41,239
Speaker 2: I was just while was thinking the opposite, because I've

826
00:44:41,280 --> 00:44:43,719
Speaker 2: done a lot of paragliding and I always thought that

827
00:44:43,760 --> 00:44:45,919
Speaker 2: I would love to be able to get a paramotor.

828
00:44:46,040 --> 00:44:49,799
Speaker 3: So a paraglider is a fabric you you.

829
00:44:49,800 --> 00:44:52,480
Speaker 2: Run off a cliff or you know, on the coast

830
00:44:52,600 --> 00:44:55,280
Speaker 2: or down a mountain and whatever, and you use thermals

831
00:44:55,280 --> 00:44:59,160
Speaker 2: for lift or whatever updraft, but you can get what

832
00:44:59,200 --> 00:45:02,680
Speaker 2: they call a paramo, which is a propeller that.

833
00:45:02,640 --> 00:45:05,480
Speaker 3: You put onto the back of your backpack. The problem is,

834
00:45:05,800 --> 00:45:07,360
Speaker 3: for me, it's so loud.

835
00:45:07,520 --> 00:45:10,680
Speaker 2: I've loved paragliding because being up there and not having

836
00:45:10,719 --> 00:45:13,080
Speaker 2: a motor is amazing. But I was just thinking, while

837
00:45:13,120 --> 00:45:15,600
Speaker 2: you guys were chatting about how you wouldn't go for

838
00:45:15,640 --> 00:45:18,520
Speaker 2: an electric bike, that I would go for an electric

839
00:45:18,680 --> 00:45:22,200
Speaker 2: paramotor because that would be phenomenal because you haven't got

840
00:45:22,239 --> 00:45:26,400
Speaker 2: the sound, all the extra noise, So being an electric paramotor,

841
00:45:26,440 --> 00:45:28,279
Speaker 2: I think that would be amazing. And then you don't

842
00:45:28,320 --> 00:45:30,160
Speaker 2: have to climb anything. You can just kind of take

843
00:45:30,200 --> 00:45:31,919
Speaker 2: off from the ground, which would be pretty cool too.

844
00:45:32,320 --> 00:45:34,840
Speaker 1: You could just reincarnate as an eagle. That'd be cool.

845
00:45:35,440 --> 00:45:35,640
Speaker 1: You know.

846
00:45:35,680 --> 00:45:37,799
Speaker 2: One of the most exciting, in fact, almost one of

847
00:45:37,800 --> 00:45:39,520
Speaker 2: the last flights I did in my paraglider.

848
00:45:39,520 --> 00:45:41,960
Speaker 1: With that, I notice how he just didn't even acknowledge

849
00:45:41,960 --> 00:45:44,719
Speaker 1: that I spoke. Then, Tiff, did you notice that.

850
00:45:44,480 --> 00:45:46,840
Speaker 3: I was telling a story that related exactly to what

851
00:45:46,880 --> 00:45:48,800
Speaker 3: you're saying. You didn't give me a chance to finish.

852
00:45:49,000 --> 00:45:50,480
Speaker 1: Ah, we'll try harder.

853
00:45:51,800 --> 00:45:56,839
Speaker 2: So I launched at the launch site at bright and

854
00:45:56,960 --> 00:45:59,560
Speaker 2: as I launched over the tree tops and got a

855
00:45:59,600 --> 00:46:01,759
Speaker 2: little bit of distance away, I looked down and there

856
00:46:01,800 --> 00:46:04,200
Speaker 2: was an eagle flying underneath me.

857
00:46:04,880 --> 00:46:06,080
Speaker 3: Wow, spread wings.

858
00:46:06,080 --> 00:46:09,000
Speaker 2: And I thought to myself at that moment, how many

859
00:46:09,040 --> 00:46:12,760
Speaker 2: people have ever been in a situation with a flying

860
00:46:13,040 --> 00:46:16,640
Speaker 2: above an eagle? You know, the little winglets were just

861
00:46:16,719 --> 00:46:18,960
Speaker 2: kind of gently moving in the breeze. You know how

862
00:46:19,000 --> 00:46:21,520
Speaker 2: they adjust the little ailerons on their wings. And I

863
00:46:21,560 --> 00:46:22,719
Speaker 2: saw that from the top.

864
00:46:23,400 --> 00:46:26,120
Speaker 1: See that is all. That's pretty cool. I'll give you that.

865
00:46:26,480 --> 00:46:28,399
Speaker 1: One more thing before we go. I want to ask

866
00:46:28,440 --> 00:46:31,880
Speaker 1: you about And I know I'm a dinosaur, and I

867
00:46:31,920 --> 00:46:33,600
Speaker 1: know I've been using it for a while but not

868
00:46:33,640 --> 00:46:37,320
Speaker 1: in a significant way. But lately I've been using voice

869
00:46:37,360 --> 00:46:40,879
Speaker 1: to text, just in my phone, just using notes, which

870
00:46:40,920 --> 00:46:43,200
Speaker 1: I know there's a million, probably a million better ways

871
00:46:43,239 --> 00:46:45,920
Speaker 1: to do it, but so often when I'm going for

872
00:46:46,040 --> 00:46:50,319
Speaker 1: my my myriad of walks through the day, I'll have

873
00:46:50,360 --> 00:46:52,840
Speaker 1: an idea and so I just talk into my phone

874
00:46:52,840 --> 00:46:54,640
Speaker 1: and by the time I get home, I've got three

875
00:46:54,719 --> 00:46:59,319
Speaker 1: or four or five pages of notes. One do you

876
00:46:59,440 --> 00:47:03,000
Speaker 1: use voice to text like that, Patrick, And two, is

877
00:47:03,040 --> 00:47:06,200
Speaker 1: there a more efficient and effective way than what I'm doing,

878
00:47:06,200 --> 00:47:09,719
Speaker 1: which is basically just pressing the audio or the microphone

879
00:47:09,719 --> 00:47:11,120
Speaker 1: button and talking into notes.

880
00:47:11,840 --> 00:47:15,000
Speaker 3: It's a good question. Look, I don't use it. I've

881
00:47:15,000 --> 00:47:15,560
Speaker 3: got to say.

882
00:47:15,680 --> 00:47:19,440
Speaker 2: I tend to like write, but I use voice to

883
00:47:19,520 --> 00:47:22,640
Speaker 2: text or voice to add things to my calendar when

884
00:47:22,640 --> 00:47:24,600
Speaker 2: I'm in bed and it's late at night and I

885
00:47:24,600 --> 00:47:26,239
Speaker 2: suddenly think of something, so I don't have to turn

886
00:47:26,239 --> 00:47:28,360
Speaker 2: the light on. I just ask to add it to

887
00:47:28,400 --> 00:47:30,520
Speaker 2: my calendar and then I don't think about it anymore.

888
00:47:31,200 --> 00:47:34,040
Speaker 2: Is there something more efficient? I guess it depends on

889
00:47:34,160 --> 00:47:35,920
Speaker 2: what you wanted to do. If you wanted to get

890
00:47:35,960 --> 00:47:38,680
Speaker 2: a summary of your notes, if you felt you know,

891
00:47:38,760 --> 00:47:41,400
Speaker 2: that's where you employ an AI agent. But now what

892
00:47:41,400 --> 00:47:44,160
Speaker 2: you're doing now just recording into it. If it's accurate,

893
00:47:44,239 --> 00:47:47,040
Speaker 2: and you find the accuracy level as high, then I

894
00:47:47,080 --> 00:47:49,239
Speaker 2: think you're doing exactly the right thing. It's a really

895
00:47:49,280 --> 00:47:52,440
Speaker 2: efficient way of doing it. And you know, I'd keep

896
00:47:52,480 --> 00:47:53,160
Speaker 2: doing what you're doing.

897
00:47:53,760 --> 00:47:56,800
Speaker 1: I was walking yesterday and I was thinking, I'm always

898
00:47:56,800 --> 00:47:59,280
Speaker 1: thinking about, like, if I've got to do a solo podcast,

899
00:47:59,320 --> 00:48:04,240
Speaker 1: what's a what's something that you know that I haven't

900
00:48:04,280 --> 00:48:07,480
Speaker 1: overspoken about, or maybe is somewhat fresh or a fresh

901
00:48:07,520 --> 00:48:10,200
Speaker 1: angle on an old topic. But I was thinking about

902
00:48:10,239 --> 00:48:14,399
Speaker 1: the idea of, you know, how everyone tells everyone how

903
00:48:14,440 --> 00:48:17,480
Speaker 1: amazing they are and spectacular and incredible, and the truth

904
00:48:17,560 --> 00:48:20,399
Speaker 1: is that we're all not. Some people are, but I'm

905
00:48:20,440 --> 00:48:22,839
Speaker 1: wildly mediocre in most things. And I was so it's

906
00:48:22,880 --> 00:48:25,520
Speaker 1: coming up with an idea of like, Okay, so maybe

907
00:48:25,520 --> 00:48:28,359
Speaker 1: I don't have incredible genetics or the highest IQ. Maybe

908
00:48:28,400 --> 00:48:31,719
Speaker 1: I'm not a creative genius, and maybe I'll never cure

909
00:48:31,800 --> 00:48:34,800
Speaker 1: cancer or run fast or jump high or solve bloody

910
00:48:35,600 --> 00:48:40,359
Speaker 1: or whatever solve the bloody quantum theory problems, or but

911
00:48:40,680 --> 00:48:42,200
Speaker 1: how do I make the most out of what I've

912
00:48:42,200 --> 00:48:47,760
Speaker 1: got to work with? And so this was my basis

913
00:48:47,800 --> 00:48:50,400
Speaker 1: that I was walking around. I came home with pretty

914
00:48:50,480 --> 00:48:53,359
Speaker 1: much a whole episode planned, and then I just cut

915
00:48:53,360 --> 00:48:56,120
Speaker 1: and paste it into a dock and then it's on

916
00:48:56,160 --> 00:48:58,160
Speaker 1: my computer and I tidy it up a little bit.

917
00:48:58,840 --> 00:49:02,200
Speaker 1: But literally, I'm doing two things at once, which is

918
00:49:02,200 --> 00:49:07,880
Speaker 1: pretty efficient. And for me, I tend to think, I

919
00:49:07,960 --> 00:49:10,440
Speaker 1: don't know, I feel like I'm more creative, and I

920
00:49:10,480 --> 00:49:13,600
Speaker 1: feel like my brain works better, maybe better sometimes when

921
00:49:13,600 --> 00:49:16,520
Speaker 1: I'm walking than when i'm sitting. If I'm trying to

922
00:49:16,520 --> 00:49:19,800
Speaker 1: conceptualize and create something, I think when I'm not sitting

923
00:49:19,840 --> 00:49:23,000
Speaker 1: in this chair looking at this screen, but when I'm

924
00:49:23,080 --> 00:49:25,759
Speaker 1: out and I'm just walking in nature or suburbia or

925
00:49:25,800 --> 00:49:27,879
Speaker 1: a bit of both. Yeah, I feel like my brain

926
00:49:27,880 --> 00:49:29,279
Speaker 1: works better. I think there's a lot to.

927
00:49:29,200 --> 00:49:31,640
Speaker 2: Be said for the subconscious brain as well, what your

928
00:49:31,680 --> 00:49:33,680
Speaker 2: brain is doing. You know, if you've got a puzzle

929
00:49:33,719 --> 00:49:38,280
Speaker 2: to solve, a challenge to face, then when you stop

930
00:49:38,360 --> 00:49:40,840
Speaker 2: thinking about it, it doesn't necessarily mean that your brain

931
00:49:40,920 --> 00:49:43,319
Speaker 2: isn't still processing it. I think I've told you the

932
00:49:43,400 --> 00:49:46,040
Speaker 2: story about getting a phone call from someone we both know,

933
00:49:46,280 --> 00:49:50,320
Speaker 2: Andrew Jobbers, and he was struggling because he was publishing

934
00:49:50,320 --> 00:49:53,239
Speaker 2: his eighth book and the designer or the publisher had

935
00:49:53,280 --> 00:49:56,000
Speaker 2: a designer and he wasn't happy with the cover and

936
00:49:56,040 --> 00:49:57,880
Speaker 2: he was really stressing because it had gone back to

937
00:49:57,920 --> 00:50:01,640
Speaker 2: the design multiple times and he couldn't get what he wanted.

938
00:50:01,920 --> 00:50:03,840
Speaker 2: So he sent me a rough draft and said I

939
00:50:03,880 --> 00:50:06,319
Speaker 2: want to incorporate this, this, and this, and I said, oh, look,

940
00:50:06,360 --> 00:50:09,000
Speaker 2: I can have a look at it tomorrow. Went to sleep,

941
00:50:09,440 --> 00:50:12,280
Speaker 2: woke up about four am, the finished cover.

942
00:50:12,440 --> 00:50:16,000
Speaker 3: Was in my mind, all done, and I just got to.

943
00:50:15,960 --> 00:50:19,960
Speaker 2: The computer, got in there, produced it and that was

944
00:50:20,000 --> 00:50:20,759
Speaker 2: basically the cover.

945
00:50:21,320 --> 00:50:24,279
Speaker 3: I felt like I did zero work. I really did

946
00:50:24,360 --> 00:50:24,959
Speaker 3: zero work.

947
00:50:25,200 --> 00:50:28,560
Speaker 2: I had a concept, went to bed, subconscious brain has

948
00:50:28,640 --> 00:50:31,080
Speaker 2: worked on it overnight, doing what it was doing, and

949
00:50:31,080 --> 00:50:33,000
Speaker 2: the finished cover was there in the morning.

950
00:50:33,200 --> 00:50:35,280
Speaker 3: Just great. Wish life was luck that all the time.

951
00:50:37,600 --> 00:50:40,920
Speaker 1: Well, I mean, your brain is always thinking in inverted commas,

952
00:50:41,080 --> 00:50:44,680
Speaker 1: So there's thinking that happens because of us and despite us,

953
00:50:44,920 --> 00:50:47,520
Speaker 1: you know what I mean. So there's like conscious and

954
00:50:47,640 --> 00:50:51,000
Speaker 1: unconscious that it's like, this is prefrontal cortex critical thinking.

955
00:50:51,360 --> 00:50:55,160
Speaker 1: I'm focused on there. And then there's the deeper stuff

956
00:50:55,200 --> 00:50:56,960
Speaker 1: which is just going on while you're trying to bang

957
00:50:56,960 --> 00:51:00,000
Speaker 1: out a fuse edit. The brain's funk amazing.

958
00:51:00,000 --> 00:51:02,440
Speaker 2: Can I tell you a funny story about a viral

959
00:51:02,520 --> 00:51:05,359
Speaker 2: video I saw recently about because I waken a bit.

960
00:51:05,480 --> 00:51:07,360
Speaker 1: Can it be less than two minutes because Tiff and

961
00:51:07,360 --> 00:51:09,480
Speaker 1: I have got to go Okay, really funny story.

962
00:51:09,560 --> 00:51:12,040
Speaker 2: So the viral video how to get back to sleep

963
00:51:12,080 --> 00:51:13,520
Speaker 2: when you wake up in the middle of the night.

964
00:51:13,560 --> 00:51:16,160
Speaker 2: I always struggle with this. You get an ice pack,

965
00:51:16,239 --> 00:51:18,359
Speaker 2: wrapped in a tea towel and this lay it.

966
00:51:18,280 --> 00:51:23,400
Speaker 3: On your forehead because it cools your brain. I tried it.

967
00:51:23,480 --> 00:51:24,759
Speaker 3: This next, doesn't it? TI.

968
00:51:25,760 --> 00:51:28,640
Speaker 4: I have not tried it, but I did see an

969
00:51:28,760 --> 00:51:31,600
Speaker 4: article recently. It must have gone crazy because I feel

970
00:51:31,600 --> 00:51:32,480
Speaker 4: like I saw it a lot.

971
00:51:32,600 --> 00:51:35,239
Speaker 1: If you were given some high level medical advice by

972
00:51:35,280 --> 00:51:39,480
Speaker 1: the Crab yesterday about how to not wake up with

973
00:51:39,520 --> 00:51:43,040
Speaker 1: a blood sugar level of two? Did you try it?

974
00:51:43,080 --> 00:51:46,520
Speaker 1: Did you tell people? What the just again in under

975
00:51:46,560 --> 00:51:47,680
Speaker 1: one minute.

976
00:51:47,640 --> 00:51:50,680
Speaker 4: Tablespoon of almond butter, and I'm down with that. I

977
00:51:50,719 --> 00:51:53,560
Speaker 4: love almond butter, so I have been spooning that bad

978
00:51:53,600 --> 00:51:54,560
Speaker 4: boy before bed.

979
00:51:54,880 --> 00:51:55,319
Speaker 3: It's great.

980
00:51:55,400 --> 00:51:56,720
Speaker 1: And what did it work?

981
00:51:57,920 --> 00:51:58,120
Speaker 3: Well?

982
00:51:58,280 --> 00:52:01,160
Speaker 4: Yeah, it has been. It has been, but I don't

983
00:52:01,200 --> 00:52:04,480
Speaker 4: know how accurate the old We're back on everyone. We're

984
00:52:04,520 --> 00:52:08,920
Speaker 4: back on the glucose monitor, which has been a wild ride. Again.

985
00:52:09,080 --> 00:52:11,360
Speaker 4: Maybe the first one wasn't faulty after all.

986
00:52:12,440 --> 00:52:15,120
Speaker 1: But tell people what problem you were trying to solve.

987
00:52:15,719 --> 00:52:19,440
Speaker 4: So the first calibrated night, my blood sugar dropped to

988
00:52:20,719 --> 00:52:24,200
Speaker 4: supposedly to two point two on at least three occasions.

989
00:52:24,320 --> 00:52:27,759
Speaker 4: It's very low, and what's happening? It tends to do

990
00:52:27,880 --> 00:52:30,080
Speaker 4: so about four am. Keep waking up at four am

991
00:52:30,120 --> 00:52:32,680
Speaker 4: and I think it drops cortis or spikes and that

992
00:52:32,800 --> 00:52:33,560
Speaker 4: wakes me up.

993
00:52:34,840 --> 00:52:38,400
Speaker 1: So with the crab's prescription, that didn't happen.

994
00:52:39,239 --> 00:52:43,359
Speaker 4: Well no, no, it didn't the last two nights, so tuned.

995
00:52:43,600 --> 00:52:47,640
Speaker 1: Doctor Crabb at least qualified doctor in Australia. Patrick. How

996
00:52:47,640 --> 00:52:50,080
Speaker 1: can people find you and follow you and connect with you?

997
00:52:50,920 --> 00:52:53,359
Speaker 2: I can go to websites now dot com TODAYU that's

998
00:52:53,360 --> 00:52:56,399
Speaker 2: my business website, or tai Chi at home dot com,

999
00:52:56,400 --> 00:52:59,200
Speaker 2: todau which is my taichi website.

1000
00:52:58,600 --> 00:53:04,160
Speaker 1: The perfect great work you, great work, tiff Thanks everyone.

1001
00:53:04,239 --> 00:53:07,239
Speaker 1: We'll say goodbye affair, but thanks Patty, Thanks Tiffy