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Speaker 1: Oh good a tenants of bloody you project. It's bloody Patrick,

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Speaker 1: bloody Tiff, bloody Harps. It's Friday afternoon, Thursday afternoon. I

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Speaker 1: should say this is something of a recording anomaly. Wh're

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Speaker 1: normally Friday am for this little episode, so I don't

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Speaker 1: know how our brain's working. At five p emish on

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Speaker 1: a Thursday. Tiff just swanned in from somewhere. We'll find

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Speaker 1: out Patrick's drinking either cam Butcher or com Butcher. He's

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Speaker 1: already been corrected by Tiff, Like first sentence out of

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Speaker 1: her mouth was a correction, not hollow. It was just

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Speaker 1: correcting him on his pronunciation. How's your cam Butcher? Patrick?

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Speaker 1: Like coom Butcher?

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Speaker 2: Because I'm scared more scared of Tiff than you Apple

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Speaker 2: and lime kom Butcher is bloody great. I can still

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Speaker 2: microbiomes doing what they do with my tummy?

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Speaker 1: Are you do you take much notice of the whole

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Speaker 1: gup by ome thing? And are you proactively trying to

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Speaker 1: make yours healthier? Or do you just know the word?

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Speaker 1: I just know the word, you just know the word?

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Speaker 2: The other reason I bought it? Can I can I

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Speaker 2: admit why I bought it? So I normally I go

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Speaker 2: shopping on a Wednesday after I've finished my tai chi class.

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Speaker 2: I teach tai chi, but I deliberately do an early

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Speaker 2: class and then I've got an hour to shop. I

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Speaker 2: go to Aldi, I go to Cohl's. But because we're

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Speaker 2: in the middle of the holidays, can.

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Speaker 1: I just say, Chips laughing hysterically with her face in

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Speaker 1: her hands, I don't know what do you laughing at?

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Speaker 3: Quick fact that who else would have a whole story

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Speaker 3: around the breezeon of drinking a butcher?

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Speaker 1: Well, if anyone can turn a thirty second anecdote into

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Speaker 1: a five minute fucking monologue, you know it's not you

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Speaker 1: or me.

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Speaker 3: I'm on the edge in my seat though, please continue past.

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Speaker 1: Yeah, I'll tell you what. The listeners are definitely not

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Speaker 1: turning this off because this is not boring at all.

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Speaker 2: So if I'll finish off the story, because I just

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Speaker 2: have to. Now, when I shop online, I hit two buttons.

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Speaker 2: I hit vegan, and then I hit on special, then

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Speaker 2: my algments. That's the filter that I use first.

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Speaker 1: And then I look for other stuff and then comes

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Speaker 1: up mung beans and a banana, and he goes, oh,

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Speaker 1: I think I'll go the banana this week.

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Speaker 2: And pineapple and lime com Butcher for two for one.

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Speaker 2: That's why I bought it. I don't normally say and

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Speaker 2: answer your question, Grego, I don't do anything for my

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Speaker 2: gut biome except if it happens to be on special

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Speaker 2: once every term.

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Speaker 1: Well, I think you have a pretty good diet, which

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Speaker 1: is doing something for your gut biome. Tip for you,

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Speaker 1: very I mean, I've never been, but I am. We

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Speaker 1: all know I am now because I've just got myself

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Speaker 1: there right in front of me, triple strength probiotics with

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Speaker 1: ninety six billion cfu per capture whatever that means. And

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Speaker 1: I got to say, I'm going to say my poo's

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Speaker 1: a world class, world class since I've got on the

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Speaker 1: probiotic training. Do you do you think about that a bit? Well, now,

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Speaker 1: I mean I've cleared that up for everyone.

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Speaker 2: Do you mean anybody else's podcasting segments? Because it always

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Speaker 2: comes up in mind.

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Speaker 1: I don't know why everyone's I don't know why everyone's

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Speaker 1: so fucking offended by something that everyone on the planet does,

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Speaker 1: which is shit.

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Speaker 2: No, I'm not offended by it, but surely we can

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Speaker 2: think of something else to thought about.

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Speaker 1: Yeah, can Butcher bottles and on special. And there's two buttons.

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Speaker 1: I hit the vegan and the on special. I reckon,

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Speaker 1: my poor story's got that covered. So just saying, I

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Speaker 1: wonder if our one remaining listener wants to hear What's next? Tiff?

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Speaker 1: How are you, Tiff? What have you been doing?

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Speaker 3: I'm good. I just had some clients the Savo and

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Speaker 3: scurried home in a hurry so I could make this

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Speaker 3: because I didn't want to miss out on the trio.

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Speaker 1: How many clients do you like to do? Now? If

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Speaker 1: you're wondering what Tiff does, she's among other things, she

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Speaker 1: trains a few people in the gym. What's your ideal

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Speaker 1: number of Not too many? Not too few? And I

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Speaker 1: know you don't do them every day, but like three

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Speaker 1: a day, two a day, four a day.

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Speaker 3: I've actually recently structured it so that I've got two

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Speaker 3: big days and then on the other there's a couple

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Speaker 3: of days where I just do a couple I don't

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Speaker 3: often do afternoons. I've got two groups that I do

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Speaker 3: on an afternoon together two times a week, and the

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Speaker 3: rest of morning sessions.

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Speaker 2: Some day is my big day.

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Speaker 3: Sometimes I can have up to six or seven on

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Speaker 3: a Sunday, which is a big day, all back to back,

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Speaker 3: because now I've managed my energy and I've managed a

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Speaker 3: bit of downtime a bit better with that, whereas it

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Speaker 3: used to be kind of four people and I'm out

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Speaker 3: of there.

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Speaker 1: Yeah. You know what's good about having your own business,

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Speaker 1: like you and me and Patrick for that point, is

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Speaker 1: that you don't do the same thing all the time.

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Speaker 1: It's like if I came to you and I went, hey,

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Speaker 1: I've got fifteen school kids that I want trained three

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Speaker 1: times a week at sekurta foreshore, could you do that?

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Speaker 1: And you could go, sure, here's how it would work,

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Speaker 1: here's how much it would like. It's not like you

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Speaker 1: only do the same thing the same way. So when

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Speaker 1: companies come to me and they go, what do you do?

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Speaker 1: I go, I can do anything from a thirty minute

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Speaker 1: keynote to a three day living program, and we can

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Speaker 1: literally talk about anything from leadership and culture and high

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Speaker 1: performance to know metacognition and theory of mind and why

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Speaker 1: the boss is a prick. You know. It's like it's just,

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Speaker 1: you know, you don't have to go and hop in

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Speaker 1: this cookie cutter kind of you know thing where you

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Speaker 1: do the same thing. I love that kind of freedom

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Speaker 1: and that creativity to be able to to a point,

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Speaker 1: make stuff up, make your job up. What do you

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Speaker 1: want me to talk on? Like I had to talk

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Speaker 1: not today, I was going to say today yesterday with

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Speaker 1: a company and you know, like with a lot of companies,

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Speaker 1: they don't exactly know what they want, Like they want

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Speaker 1: you to talk at their conference, or to do a workshop,

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Speaker 1: or to come in and do some coaching or consulting.

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Speaker 1: But then you get on a call and you're like, Okay,

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Speaker 1: exactly what do you want me to do and talk about?

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Speaker 1: They're like, ah, not exactly sure, but these are the

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Speaker 1: problems we've got. And then you can go, oh what

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Speaker 1: about this and they go, yeah, let's do that. What

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Speaker 1: about that? They're like, oh, that would be good too.

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Speaker 1: Like there's a lot of I think that's the beauty

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Speaker 1: of it, and saying with Hugh Patrick in your work

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Speaker 1: where you kind of it's pretty diverse.

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Speaker 2: Well, I just got asked this week to be the

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Speaker 2: compare for a year half hoedown fundraiser for our farmers. Wow,

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Speaker 2: I know nothing about boots scooting. I'm going to have

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Speaker 2: to do some serious reasons.

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Speaker 3: I used to do a bit of line dancing. When

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Speaker 3: we kid with my mom, I had the greatest boots.

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Speaker 2: Yeah, yeah, a good thing. Yeah, Drongo and the Crow,

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Speaker 2: the Darling's Family Trust, Renegade Bootscooter's Duo Deluxe. That's whose headline.

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Speaker 1: That's fucking great. I'm coming. I'm definitely coming to that.

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Speaker 1: And I want to see you in cowboy boots and

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Speaker 1: a hat, trying not to be gay up the front,

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Speaker 1: trying to look like a cowboy.

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Speaker 2: And the other gig that I landed today was a

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Speaker 2: website for a male is squat.

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Speaker 1: Hang on? Oh for a male escort?

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Speaker 2: Yeah, to do a website for a male CampaignOn, so

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Speaker 2: you can.

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Speaker 1: Do it obviously doing a contrary with him.

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Speaker 2: No, No, it's a male to female an.

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Speaker 1: Did you just say the same thing.

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Speaker 2: She did? Thanks, guys.

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Speaker 1: Wow, did you go? Yeah, that'll be cash chack or

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Speaker 1: cash check or Nature's credit card katching. Yeah.

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Speaker 2: I think we might end up doing a photo shoot

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Speaker 2: for him as well.

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Speaker 1: Yeah, of course you will. He's like, I don't have

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Speaker 1: the money for that. That's all right, it's free, come over. Wow.

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Speaker 1: And then he's like, but why are you also nude?

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Speaker 1: Oh that's just it's just how I don't know. It's

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Speaker 1: a thing. Shwe By the way, did I tell you

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Speaker 1: I teach ty g.

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Speaker 2: It's de rated? We only host g rated websites on

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Speaker 2: our server.

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Speaker 1: Yeah, do you though? We know? How how did this

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Speaker 1: particular escort? I was reaching for the right word. How

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Speaker 1: did he? How did he find you?

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Speaker 3: Oh?

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Speaker 2: You know how he found me? His accountant listens to

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Speaker 2: the podcast.

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Speaker 1: Oh that is so good.

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Speaker 2: It's yp that's how he found me.

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Speaker 1: Wow. Wow, I'm glad that we're building your career. Here

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Speaker 1: you go, has that? I don't. Oh, I've got so

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Speaker 1: many questions about male escorts that are probably not appropriate

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Speaker 1: for now. Don't don't mail escort some males cord Firstly,

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Speaker 1: is it legal?

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Speaker 2: Yes?

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Speaker 1: Is it legal? Right? Well, I guess you can't have

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Speaker 1: a website if it's illegal, can you.

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Speaker 2: Yeah? It's competitive service? Okay, it's a campaign, is it? Yeah?

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Speaker 2: Is it you just go out to dinner? It could be.

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Speaker 2: It doesn't have to be a physically romantic encounter. It

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Speaker 2: could just be a you know, above the shoulders, high

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Speaker 2: brow interaction with someone you want.

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Speaker 1: To Yeah, I can imagine it'd be like a mensa

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Speaker 1: meeting with a salad and a hand job. What Sorry?

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Speaker 1: Cut that out?

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Speaker 2: What?

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Speaker 1: No? Talk up? Hello? What did you say? I said? Salad,

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Speaker 1: solid crago. We're off to a flying start. No different

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Speaker 1: to every fucking week. You know most people listen to

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Speaker 1: this this bit and then jump out when the text

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Speaker 1: starts like fuck that boring tech talk.

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Speaker 2: Oh, I know you know how you said. We've probably

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Speaker 2: down to one listener. I can tell you who it is.

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Speaker 1: Who is it?

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Speaker 2: It's Jane. So I've got a message from Jane after

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Speaker 2: our last podcast, who is a big fan of typ

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Speaker 2: and she had a request for something that we could

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Speaker 2: talk about.

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Speaker 1: And what is that? Sorry? I was swinging on what

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Speaker 1: I have. Firstly, shout out to Jane. Hi, Jane, thanks

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Speaker 1: for being our one listener. What does Jane want you

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Speaker 1: to talk about?

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Speaker 2: He want us to talk about deep fakes and we

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Speaker 2: kind of have touched on this a few times and

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Speaker 2: it is kind of a really important one, I guess,

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Speaker 2: to get our heads around. Jane also happens to listen

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Speaker 2: to ABC podcasts and I listened to the same podcast

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Speaker 2: called Ladies We Need to Talk, and I kind of

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Speaker 2: felt like I was in an impost a little bit,

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Speaker 2: because if it's a podcast by women for women, I've

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Speaker 2: felt they kind of should I be listening to this?

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Speaker 2: But it was an amazingly good podcast, and I know

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Speaker 2: I shouldn't be promoting other podcasts.

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Speaker 1: Well, you can promote whatever. So is that an actual

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Speaker 1: podcast or is that an episode.

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Speaker 2: That's Ladies want.

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Speaker 1: To Ladies, we need to talk.

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Speaker 2: It's really good actually, But so the question was and

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Speaker 2: I thought it was a really great question, and that

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Speaker 2: is she wanted to hear our take on the prevalence

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Speaker 2: of deep fakes and you know, is it just for

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Speaker 2: the porn industry and how disturbing do we think that

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Speaker 2: it is? And look, one of the stats that came

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Speaker 2: out that just blew my mind was that ninety six

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Speaker 2: percent of deep fakes are pornographic. So keeping in mind

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Speaker 2: that deep fakes can be used for political reasons to

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Speaker 2: try to sway people, to mislead people, but the high

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Speaker 2: percentage of ninety six is that deep fakes are pornographic.

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Speaker 2: And this is the thing that is so disturbing is

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Speaker 2: ninety nine percent of deep fake videos and photos are

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Speaker 2: of women. Yeah, and in looking for and the interesting

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Speaker 2: thing that came out of that was that a lot

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Speaker 2: of the methods that people use, so the AI tools,

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Speaker 2: whether it's putting a person's face onto an existing pornographic video.

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Speaker 2: But the majority of all of that is geared up.

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Speaker 2: For the stock imagery is female, not male, because industry

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Speaker 2: is geared up and predominantly it is men wanting to,

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Speaker 2: you know, superimpose a woman's face and whatever they're using

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Speaker 2: it for. There's a whole lot of websites out there

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Speaker 2: that obviously promote this sort of thing. They have celebrities,

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Speaker 2: but some of it can be quite malicious. And I

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Speaker 2: was looking at some recent court cases and there was

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Speaker 2: a guy that the biggest court case in Australian history

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Speaker 2: so far is recent and a guy by the name

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Speaker 2: of Antonio Rotondo. He deep fake basically used prominent women

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Speaker 2: and used deep fake to create pornographic material. He was

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Speaker 2: fined three hundred and forty three thousand dollars by the

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Speaker 2: Federal Court after being caught uploading and not removing non

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Speaker 2: consensual deep fake sexual images. And these are Australian women.

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Speaker 2: So this was a really a breached fourteen under the

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Speaker 2: Online Safety Act fourteen instances of the Online Safety Act.

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Speaker 2: So it's in the reach of average, everyday people. And

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Speaker 2: that's the thing, you know, he'd already previously been fined

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Speaker 2: twenty five thousand dollars. That didn't stop him ian twenty

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Speaker 2: five thousand dollars didn't stop him from doing it, So

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Speaker 2: he may have been getting money out of this. He

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Speaker 2: may have been publishing and people subscribed to the site.

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Speaker 2: So I'm not entirely sure. I didn't follow the case

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Speaker 2: per se, but you know, it's a pretty staggering one.

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Speaker 2: And do you remember and this has came close to

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Speaker 2: home because last year there was some boys at a

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Speaker 2: local grammar school in back of Smash that were caught

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Speaker 2: and what they've been doing is taking AI generated new

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Speaker 2: images of about fifty other female students at their school,

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Speaker 2: and then they were sharing it amongst themselves and one

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Speaker 2: of the boys was actually charged.

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Speaker 1: But can we just clear up they weren't images of

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Speaker 1: the girls were They were girl's head imposed on existing nude.

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Speaker 2: Bodies exactly, That's exactly right.

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Speaker 1: So it wasn't the actual girl's bodies, but it was

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Speaker 1: it was also fakes where they'd put the girl's heads on.

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Speaker 1: And I think just explain to people that because like

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Speaker 1: so deep correct me if I'm wrong, but a deep

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Speaker 1: fake is essentially using an image putting someone's real face,

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Speaker 1: like my face on some other dude's nude body or

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Speaker 1: something like that, and then you then representing as that

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Speaker 1: as though it's real. This is really Craig up A

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Speaker 1: wearing nothing or whatever it is.

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Speaker 2: Right, it could be face, it could be voice. Remember

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Speaker 2: you know that's classified as a deep fake as well,

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Speaker 2: putting a person's voice and using that. And you've heard

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Speaker 2: you know the sk now where people call and misrepresent.

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Speaker 2: So you know, you might have a grandchild who's backpacking

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Speaker 2: through the UK and they're posting on social media and

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Speaker 2: they've got a video that has them talking. Well, potentially

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Speaker 2: a scammer could sample that and then call their family

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Speaker 2: and say, look, I've run out of money. Something's happened.

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Speaker 2: I've lost all my luggage. And these are things that

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Speaker 2: are happening right now. You know, there was a CEO

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Speaker 2: or a CFO of a company who you know deep

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Speaker 2: you know, people use deep fake to scam and try

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Speaker 2: to get him to call through and change some bank

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Speaker 2: accounts over you know, put money into to transfer money

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Speaker 2: into another bank account. So there's lots of instances of

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Speaker 2: this happening, and even here in Australia as well.

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Speaker 1: I got an email a few years ago from some

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Speaker 1: I don't know whatever going, We've got video footage of

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Speaker 1: you watching porn and how can pleasuring yourself? We're going

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Speaker 1: to share it. I'm like, share away. How good's that you?

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Speaker 1: And they're like, ah, I'm like it's like it's going.

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Speaker 2: My answer that would have been can we monetize this

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Speaker 2: and let's go fifty to fifty.

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Speaker 1: Yeah, And they're like if you send us this or

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Speaker 1: if I'm like really, it's but I think that this,

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Speaker 1: I mean, this is just one you know, version of

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Speaker 1: or one of the myriad of potential consequences and variables of,

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Speaker 1: you know, artificial intelligence and all the stuff that we've

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Speaker 1: got to deal with. And I was listening to Rogan

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Speaker 1: yesterday and who was talking about if you get a

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Speaker 1: chance to see it, it's it's ridiculous. So fifty cent,

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Speaker 1: of course, for our older listeners, fifty cent as a rapper.

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Speaker 1: He's an artist, and they took one of his songs

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Speaker 1: and they turned it into this nineteen fifty sixties bluesy

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Speaker 1: kind of song where this guy was singing this cool

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Speaker 1: dude all Ai general and it was unbelievably good, and

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Speaker 1: it was just using these rap lyrics turned into this

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Speaker 1: kind of very very cool fifties style jazz kind of

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Speaker 1: blues kind of song and video clip and it was

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Speaker 1: it looked absolutely real. And the problem is not only

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Speaker 1: did it look real, it was great. Even Rogan's like,

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Speaker 1: I love this and it's fake and this is going

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Speaker 1: to be I mean, moving forward with creatives and artists,

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Speaker 1: whether that's rights or singers or musicians or you know whatever,

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Speaker 1: there's going to be so much stuff that's produced that

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Speaker 1: like it or not, is going to be good, like

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Speaker 1: as in, that's going to be doing people out of

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Speaker 1: I guess their income or their job in a way.

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Speaker 1: But what do you do about that? Though? If they're

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Speaker 1: producing music AI, that's phenomenal to listen to. What do

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Speaker 1: you do?

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Speaker 2: I think as long as there's a disclaimer on there

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Speaker 2: and they're not trying to be was it Millie Vanilli?

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Speaker 2: Remember Millie Vanilli?

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Speaker 3: Yeah?

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Speaker 1: Yeah, yeah, too young for that. Milli Vanilli was this

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Speaker 1: two person group who rose to fame I'm going to

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Speaker 1: say in the nineties tiff and they were super cool.

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Speaker 1: Everyone loved them and they just like for about I

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Speaker 1: was going to say five minutes, but probably a year

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Speaker 1: or two they were massive, and then everyone then then

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Speaker 1: we found out I don't know, just not long after

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Speaker 1: they lip synced everything and they didn't sing anything. Yeah,

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Speaker 1: it was just these two super cool dudes who couldn't sing. Yeah.

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Speaker 2: I think they tried to do a live concert and

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Speaker 2: it backfired on them. So they were trying to lip

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Speaker 2: sync during a life God, yeah, I think is what happened. Yeah.

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Speaker 2: But you know, the other thing that's worth keeping in

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Speaker 2: mind in terms of deep fake is it's been used

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Speaker 2: in films. It's a positive effect. You know, Harrison Ford

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Speaker 2: was deep faked so that in one of the last

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Speaker 2: Indiana Jones movies they could have a flashback to when

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Speaker 2: he was younger. So there's lots of you know, and

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Speaker 2: I'm trying to think, who is the coastar in Top

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Speaker 2: Gun Bell Kilmer? So Bell Kilmer had a terrible illness

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Speaker 2: where he lost his voice, but he acted in a

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Speaker 2: movie and they deep faked his voice so that he

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Speaker 2: could still continue to act. So there's lots of instances

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Speaker 2: where you can use deep fake. And I know a

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Speaker 2: couple of episodes ago. I think it's a Scandinavian film

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Speaker 2: about an alien abduction where the cast wrote performed in

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Speaker 2: their native tongue, and then they re voiced all of

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Speaker 2: the parts in English, but rather than reacting it, they

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Speaker 2: just did the voices and then the lips were made

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Speaker 2: to move with the English movements by using deep fake.

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Speaker 2: They watched it because I've been I just rewatched the

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Speaker 2: series that I really liked on Netflix called Young Royals,

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Speaker 2: and the cast re recorded the whole thing in English,

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Speaker 2: which is so much better than getting just a random

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Speaker 2: actor to voice the character. But they didn't dub. Obviously,

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Speaker 2: the lips are still speaking, you know, in the foreign tongue,

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Speaker 2: and it would have been great if they could lip

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Speaker 2: sync it because it looked even better. But those sorts

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Speaker 2: of things make a big difference. And that's where it's

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Speaker 2: kind of been using it properly. Someone else recently, I

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Speaker 2: can't remember, someone famous gave a talk and then they

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Speaker 2: use deep fake to translate into about eight or nine

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Speaker 2: different languages, so they didn't speak the other languages, but

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Speaker 2: they were able to use it to be able to

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Speaker 2: bring that message or whatever it was in multiple languages

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Speaker 2: using deep fake as well.

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Speaker 1: Isn't that just AI? It's not all deep like deep

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Speaker 1: fake seems something dodgy, but It's like, isn't it just

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Speaker 1: AI generated whatever? Isn't like CGI computer generated imagery? You know,

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Speaker 1: when you're putting in scenes that weren't in there, isn't

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Speaker 1: that the same? Now?

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Speaker 2: AI, artificial intelligence is the method for doing it. So

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Speaker 2: you're using AI tools and that's where it comes. So

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Speaker 2: whether you're using AI tools as a scammer or a fraudster,

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Speaker 2: or if it's a politician or trying to sway public opinion,

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Speaker 2: it's just the tools that they're using.

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Speaker 1: But what I'm saying is if we're say, for example,

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Speaker 1: someone like I think Paul Walker. You know that actor

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Speaker 1: Paul Walker. He passed away right through filming one of

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Speaker 1: The Fast and the Furious. I could have this wrong,

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Speaker 1: but I feel like they did a couple of scenes,

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Speaker 1: you know, which was CGI because he'd passed away. So

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Speaker 1: I wouldn't call that deep fake because we all know

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Speaker 1: what's going on. Do you know what I mean anyway?

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Speaker 2: Semantics, Yeah, the semantics the term deep fake. Yeah, I

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Speaker 2: get what you're saying to me.

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Speaker 1: That's associated with deception, whereas this is just like just

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Speaker 1: you know, computer generated stuff that make something better.

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Speaker 2: I guess if you d age an actor, it is

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Speaker 2: a deep faking. The actor. It's not the real person.

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Speaker 2: It's using a technique, whether it AI or advanced CGI,

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Speaker 2: probably using some sort of AI. But it is effectively

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Speaker 2: a deep The term is still deep fake. It's the

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Speaker 2: kind of the umbrella term for whom you led an

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Speaker 2: image to be different than what it was by superimposing

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Speaker 2: or making them younger, or putting another face on another person.

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Speaker 2: So effectively, that is deep fake.

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Speaker 1: So Tiff, you and I are deep faking right now

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Speaker 1: because we've got filters on our things. I don't know,

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Speaker 1: do I have a filter. I don't think I do.

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Speaker 1: Everybody who uses a filter on zoom's deep faking.

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Speaker 3: Yeah, this is not more a real mustache.

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Speaker 2: You look good with that though. The top hat was fantastic.

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Speaker 1: Yeah, oh yeah, yeah. I wish you'd shave your hairy

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Speaker 1: shoulders though. Yeah, Patrick, tell us, I don't know. Let's

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Speaker 1: tell us about reusable water bottles that are a breeding

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Speaker 1: ground for horrible things.

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Speaker 2: Is that what you're drinking out of now?

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Speaker 1: Yes? Yeah, but I'm doing that. I'm having lots of

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Speaker 1: breeding ground activity for my gut biome. It's my Chinese

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Speaker 1: doctor told me to well, my Chinese medicine doctor, I

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Speaker 1: should say, who happens to be Chinese?

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Speaker 2: Well, the market, the global market for reusable water bottles

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Speaker 2: is valued at about ten billion dollars. Okay, so it's very, very,

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Speaker 2: very big. But the question is is that every year,

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Speaker 2: because if you've got a reusable bottle, you shouldn't be

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Speaker 2: buying what every year? Should you? Anyway? Short of it

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Speaker 2: is the problem that you have with that is some

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Speaker 2: drink bottles have those pop up straws or they have

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Speaker 2: a narrow opening and it's plastic and be a breeding ground.

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Speaker 2: And I've read reports where they say you should clean

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Speaker 2: your water bottle every day, every single day. You should

435
00:23:56,560 --> 00:23:59,520
Speaker 2: wash it out and clean it, sterilize it like hot water,

436
00:23:59,840 --> 00:24:04,440
Speaker 2: and clean it properly. But yeah, so basically there's been

437
00:24:04,520 --> 00:24:08,600
Speaker 2: studies done specifically looking at people who are using water

438
00:24:08,600 --> 00:24:11,359
Speaker 2: bottles on a daily basis and how often, so that

439
00:24:11,400 --> 00:24:13,880
Speaker 2: the researchers were saying, well, how clean are the bottles

440
00:24:14,240 --> 00:24:16,320
Speaker 2: that people are using on a daily basis. We know

441
00:24:16,359 --> 00:24:18,800
Speaker 2: we're trying to do the right thing, not waste plastics,

442
00:24:19,040 --> 00:24:22,719
Speaker 2: and so we're trying to do the right thing, But

443
00:24:22,920 --> 00:24:25,600
Speaker 2: is that a good thing from our perspective? Because you know,

444
00:24:25,640 --> 00:24:28,359
Speaker 2: most people, well not most people, but there's a chance

445
00:24:28,400 --> 00:24:31,280
Speaker 2: that you might have fecal bacteria on your hands that

446
00:24:31,359 --> 00:24:34,919
Speaker 2: you flip the lid on it, and certainly you've passed

447
00:24:34,920 --> 00:24:38,560
Speaker 2: that on to the straw. Sorry, tiff TIFFs start having

448
00:24:38,640 --> 00:24:39,320
Speaker 2: dinner tonight.

449
00:24:40,560 --> 00:24:43,200
Speaker 4: Sorry, but I mean the funny thing is, though, right,

450
00:24:44,040 --> 00:24:46,760
Speaker 4: we all, I mean you would be we would all

451
00:24:46,760 --> 00:24:50,879
Speaker 4: be surprised how many people, like we go fecal bacteria.

452
00:24:51,040 --> 00:24:53,639
Speaker 1: Okay, so probably everyone has a bit of that on

453
00:24:53,680 --> 00:24:56,880
Speaker 1: them somewhere. It's like, but people think, oh no, that's

454
00:24:57,520 --> 00:25:00,480
Speaker 1: it's like, well, no. We were talking to doctor Bill,

455
00:25:00,640 --> 00:25:02,760
Speaker 1: doctor Bill Sullivan who you probably don't know, Patrick, but

456
00:25:02,800 --> 00:25:05,159
Speaker 1: he comes on the show from Indiana State University, is

457
00:25:05,240 --> 00:25:08,600
Speaker 1: like professor of micro biology or something, and he was

458
00:25:08,640 --> 00:25:11,040
Speaker 1: talking about one of the reasons people get so sick

459
00:25:11,200 --> 00:25:14,640
Speaker 1: is because our environment is so sanitized. He's like, we

460
00:25:14,760 --> 00:25:17,200
Speaker 1: need dirt, we need germs.

461
00:25:17,160 --> 00:25:20,040
Speaker 3: Like we need on your water bottle, Patrick.

462
00:25:19,720 --> 00:25:22,119
Speaker 1: Yeah, we need back. Exactly, have a little bit of

463
00:25:22,160 --> 00:25:25,480
Speaker 1: kaka in your cam Butcher. It's probably kaka in your

464
00:25:25,520 --> 00:25:29,480
Speaker 1: cam Butcher anyway, Patrick, it's probably twelve percent kaka, which

465
00:25:29,520 --> 00:25:31,920
Speaker 1: is why it's so good for your gut. You don't

466
00:25:31,960 --> 00:25:36,160
Speaker 1: need to do the old poop pills up the old date.

467
00:25:36,440 --> 00:25:40,320
Speaker 1: You can just do that. I mean that is literally

468
00:25:40,359 --> 00:25:44,439
Speaker 1: a medical yeah, but I just think that we, you know,

469
00:25:44,480 --> 00:25:48,400
Speaker 1: in twenty twenty five, we just worried, you know, for

470
00:25:48,520 --> 00:25:52,040
Speaker 1: us living in first world luxury. Oh, for God's sake,

471
00:25:52,080 --> 00:25:55,840
Speaker 1: stop being so no pun intended, but anal it's like,

472
00:25:56,040 --> 00:25:59,720
Speaker 1: oh my god, just you know, we don't have to

473
00:25:59,760 --> 00:26:04,720
Speaker 1: be wiping and sanitizing everything, and not only that, where

474
00:26:04,720 --> 00:26:07,119
Speaker 1: we fuck up our immune system because we have no

475
00:26:07,240 --> 00:26:10,200
Speaker 1: exposure to some of the bacteria we should. But then

476
00:26:10,240 --> 00:26:12,960
Speaker 1: on top of that you layer the anxiety that people

477
00:26:13,000 --> 00:26:16,040
Speaker 1: have about this ship, which makes them even worse. So

478
00:26:16,119 --> 00:26:21,119
Speaker 1: now we've got mental health issues around everything being fucking sanitized,

479
00:26:21,520 --> 00:26:24,840
Speaker 1: and that makes people sick too. You know what, for

480
00:26:24,920 --> 00:26:28,400
Speaker 1: the last timeline of humanity, we have not done all

481
00:26:28,440 --> 00:26:31,560
Speaker 1: the things that we do around this ship, John pay

482
00:26:31,840 --> 00:26:35,040
Speaker 1: Owning a dog is probably the best way to get

483
00:26:35,040 --> 00:26:38,240
Speaker 1: a mix of bacteria, because I don't know about you, Tiff,

484
00:26:38,400 --> 00:26:39,959
Speaker 1: does Luna ever slip the tongue in?

485
00:26:40,119 --> 00:26:42,000
Speaker 2: You know me too?

486
00:26:42,560 --> 00:26:46,200
Speaker 1: Fritz does same me. You get a bit close after

487
00:26:46,280 --> 00:26:49,479
Speaker 1: licking his balls, then he's licking your lips so fucking

488
00:26:49,560 --> 00:26:55,560
Speaker 1: forget all your hygiene, I said, cat, though I picked

489
00:26:56,000 --> 00:26:57,200
Speaker 1: Fritz doesn't have balls.

490
00:26:57,680 --> 00:26:59,800
Speaker 2: No, well, his previous owners took him to the vet

491
00:26:59,800 --> 00:27:00,760
Speaker 2: when he was a little.

492
00:27:00,760 --> 00:27:06,240
Speaker 1: Wow, like father, like son? What? What? Sorry? Sorry? What? Sorry?

493
00:27:06,240 --> 00:27:12,719
Speaker 1: I just it just broke up. Then, come on, Patrick,

494
00:27:12,800 --> 00:27:15,760
Speaker 1: jump back on your list.

495
00:27:15,920 --> 00:27:22,080
Speaker 2: Off this topic fast. What about do you before you

496
00:27:22,160 --> 00:27:22,720
Speaker 2: go to bed?

497
00:27:23,680 --> 00:27:25,960
Speaker 1: I love it when you get tongue tied. It's so

498
00:27:26,000 --> 00:27:29,520
Speaker 1: good because you never get tongue tied. Yeah, before I

499
00:27:29,560 --> 00:27:30,879
Speaker 1: go to bed? Yeah, keep going.

500
00:27:31,280 --> 00:27:33,240
Speaker 2: How long before you go to bed? Do you look

501
00:27:33,240 --> 00:27:34,520
Speaker 2: at a screen TV?

502
00:27:36,280 --> 00:27:38,680
Speaker 1: If I'm being honest, If I'm being honest, I'm in

503
00:27:38,720 --> 00:27:41,920
Speaker 1: bed watching TV. I'm terrible at this, but I don't. Yeah,

504
00:27:42,080 --> 00:27:44,800
Speaker 1: I'm the worst example of what to do. I tell

505
00:27:44,840 --> 00:27:47,920
Speaker 1: people what to do, but I I sleep like a

506
00:27:48,040 --> 00:27:49,560
Speaker 1: rock though, so I don't know that.

507
00:27:49,600 --> 00:27:51,240
Speaker 2: I'm Wow.

508
00:27:52,280 --> 00:27:54,760
Speaker 1: You drink I'm drinking coffee right now, seats.

509
00:27:55,800 --> 00:27:57,119
Speaker 2: Wow, I'm drinking It's.

510
00:27:56,960 --> 00:27:58,760
Speaker 1: Five point thirty. I'm drinking coffee, and I'll have a

511
00:27:58,760 --> 00:28:00,680
Speaker 1: cup of tea. I often take a cup of tea

512
00:28:00,720 --> 00:28:05,200
Speaker 1: to bed and watch Telly, so my brain has all

513
00:28:05,240 --> 00:28:06,320
Speaker 1: the stimulants.

514
00:28:06,760 --> 00:28:12,480
Speaker 2: Wow. A Norwegian study CRAGO involving more than forty five

515
00:28:12,680 --> 00:28:17,800
Speaker 2: thousand students. Right. Yes, that when they used screens in

516
00:28:17,840 --> 00:28:21,800
Speaker 2: bed for one hour after the lights out, increased their

517
00:28:21,880 --> 00:28:27,040
Speaker 2: risk of insomnia by fifty nine percent and shortened their

518
00:28:27,080 --> 00:28:29,520
Speaker 2: total sleep by twenty five minutes per night.

519
00:28:30,600 --> 00:28:33,200
Speaker 1: I believe it, and you believe it, but it doesn't.

520
00:28:33,240 --> 00:28:36,200
Speaker 1: But it's not for everyone, but it's it's generally true, though. Yeah,

521
00:28:36,240 --> 00:28:38,600
Speaker 1: doing what I do. Say to people don't do what

522
00:28:38,680 --> 00:28:39,760
Speaker 1: I do. It's terrible.

523
00:28:40,480 --> 00:28:43,080
Speaker 2: I try to not look at my phone and listen

524
00:28:43,120 --> 00:28:45,400
Speaker 2: to an audio book or a podcast before I go

525
00:28:45,520 --> 00:28:48,640
Speaker 2: to bed, so black out the room. I have a

526
00:28:48,720 --> 00:28:52,840
Speaker 2: total totally blacked out room, even mine. I've got a

527
00:28:53,000 --> 00:28:56,080
Speaker 2: digital clock that projects onto the ceiling. It's a little

528
00:28:56,200 --> 00:28:58,800
Speaker 2: led display. And then what I do is, I've got

529
00:28:58,800 --> 00:29:02,000
Speaker 2: two pillows and I pushed the pillows across so that

530
00:29:02,160 --> 00:29:05,440
Speaker 2: covers the laser and that way I don't even get

531
00:29:05,480 --> 00:29:09,400
Speaker 2: the glow of the red lights that reflected. It's totally

532
00:29:09,720 --> 00:29:10,720
Speaker 2: got to be totally black.

533
00:29:12,240 --> 00:29:17,120
Speaker 1: Yeah, yeah, cook, Do you have a particular sleep protocol.

534
00:29:17,520 --> 00:29:21,320
Speaker 3: Yeah. I now try and get off the phone an

535
00:29:21,400 --> 00:29:27,120
Speaker 3: hour before before bed. And the phone lives in the

536
00:29:27,200 --> 00:29:29,640
Speaker 3: kitchen of a night, so I can't look at it

537
00:29:30,000 --> 00:29:31,960
Speaker 3: or no, it's there because we know that keeps the

538
00:29:32,000 --> 00:29:36,200
Speaker 3: brain active, or it does for me, and I have

539
00:29:36,240 --> 00:29:39,720
Speaker 3: to read a real book. Ohne, I've got a protocol

540
00:29:39,800 --> 00:29:42,280
Speaker 3: that is working, and my sleep's gone up about an

541
00:29:42,280 --> 00:29:45,280
Speaker 3: average a half hour night, which is phenomenal. I'm having

542
00:29:45,320 --> 00:29:48,040
Speaker 3: some good having some good times with that new with

543
00:29:48,120 --> 00:29:48,840
Speaker 3: that protocol.

544
00:29:50,600 --> 00:29:50,840
Speaker 2: Yeah.

545
00:29:52,160 --> 00:29:54,360
Speaker 1: The only thing that I do is I listened to

546
00:29:54,880 --> 00:29:58,640
Speaker 1: I've got this repeat. Basically it sounds like surf, like

547
00:29:58,760 --> 00:30:03,320
Speaker 1: crashing waves, which I played pretty much every night, and

548
00:30:03,400 --> 00:30:05,320
Speaker 1: I don't know how many waves are here crash, but

549
00:30:05,360 --> 00:30:10,120
Speaker 1: it's not that many. I've got forty minutes of crashing

550
00:30:10,200 --> 00:30:13,680
Speaker 1: waves and surf. It's like just But when I play

551
00:30:13,760 --> 00:30:16,960
Speaker 1: like even gentle music, it distracts me because of the

552
00:30:17,040 --> 00:30:21,840
Speaker 1: different the different instruments. But if it's essentially like white

553
00:30:21,920 --> 00:30:24,400
Speaker 1: noise or brown noise or green noise or any of those,

554
00:30:24,440 --> 00:30:31,000
Speaker 1: where it's a constant, yeah, I fall asleep straight up.

555
00:30:31,200 --> 00:30:33,600
Speaker 2: It's interesting. My digital clock that you know, the fancy

556
00:30:33,600 --> 00:30:36,760
Speaker 2: one with the laser that points the time onto the roof.

557
00:30:37,080 --> 00:30:41,240
Speaker 2: It also has pre recorded wave sounds. What else does

558
00:30:41,280 --> 00:30:47,000
Speaker 2: it have? You know, like creek babbling brook like when

559
00:30:47,120 --> 00:30:49,560
Speaker 2: through the trees, I not never want to turn that

560
00:30:49,640 --> 00:30:52,560
Speaker 2: on and have a listen. Isn't that funny? I should?

561
00:30:52,800 --> 00:30:55,880
Speaker 1: It should? It could be, It could be the could

562
00:30:55,880 --> 00:30:57,600
Speaker 1: be the thing that gets you over the line. Tell

563
00:30:57,680 --> 00:31:03,160
Speaker 1: us why we wouldn't charge our phone when we're renting

564
00:31:03,200 --> 00:31:03,520
Speaker 1: a car.

565
00:31:04,200 --> 00:31:06,800
Speaker 2: Oh see, you know it's funny. I did this little

566
00:31:06,840 --> 00:31:10,120
Speaker 2: story or I put it aside in our notes previous

567
00:31:10,520 --> 00:31:12,440
Speaker 2: previous podcast, and we didn't get a chance to talk

568
00:31:12,480 --> 00:31:14,600
Speaker 2: about it. And it was that very same day I

569
00:31:14,600 --> 00:31:17,640
Speaker 2: was getting my car service, do you remember, Yeah, And

570
00:31:17,720 --> 00:31:20,160
Speaker 2: so I'd done that very thing. I plugged my car,

571
00:31:20,840 --> 00:31:22,600
Speaker 2: my phone into the car so I could use my

572
00:31:22,680 --> 00:31:26,000
Speaker 2: GPS and Android Auto and it hadn't even occurred to me.

573
00:31:26,560 --> 00:31:29,080
Speaker 2: And the reality of it is, when you are in

574
00:31:29,120 --> 00:31:32,560
Speaker 2: a courtesy car and you plug your phone in, potentially

575
00:31:32,600 --> 00:31:36,360
Speaker 2: it can be synchronizing with your phone, taking your contacts off,

576
00:31:36,440 --> 00:31:40,040
Speaker 2: sharing your contacts with the vehicle. And if someone knew

577
00:31:40,040 --> 00:31:42,040
Speaker 2: what they were doing, they could go back. And I've

578
00:31:42,040 --> 00:31:44,160
Speaker 2: found this before. If you ever got into a courtesy

579
00:31:44,200 --> 00:31:46,720
Speaker 2: car and you've hooked up by Wi Fi or hooked

580
00:31:46,760 --> 00:31:49,440
Speaker 2: up by cable, and you can see other people, other

581
00:31:49,560 --> 00:31:51,560
Speaker 2: users who've used the car. Have you ever seen that?

582
00:31:52,240 --> 00:31:55,680
Speaker 1: I have not, but I believe that would. Yeah, it

583
00:31:55,680 --> 00:31:56,600
Speaker 1: doesn't surprise me.

584
00:31:57,200 --> 00:31:59,800
Speaker 2: So that's the reality. When you plug in a cable,

585
00:32:00,080 --> 00:32:02,360
Speaker 2: and it may even just be to charge your phone,

586
00:32:02,480 --> 00:32:04,360
Speaker 2: you think, oh, you had better charge the phone. Well,

587
00:32:04,400 --> 00:32:08,960
Speaker 2: potentially you could be transferring information between your phone and

588
00:32:09,080 --> 00:32:13,080
Speaker 2: your car. And most car companies, no rental companies, have

589
00:32:13,360 --> 00:32:16,640
Speaker 2: zero policy because it wouldn't occur to them to have

590
00:32:16,680 --> 00:32:20,640
Speaker 2: a policy about the privacy of your data if it

591
00:32:20,680 --> 00:32:23,040
Speaker 2: gets taken sucked up by the car that you're using

592
00:32:23,080 --> 00:32:24,960
Speaker 2: as a high car. Do you reckon?

593
00:32:25,000 --> 00:32:28,200
Speaker 1: We already live in a time where, in Australia anyway,

594
00:32:28,320 --> 00:32:35,680
Speaker 1: it's pretty much impossible to have a technology free life. Yeah,

595
00:32:35,720 --> 00:32:38,880
Speaker 1: that's a tough one. That's a tough like, it's pretty impossible,

596
00:32:38,920 --> 00:32:41,520
Speaker 1: isn't it. I mean when you think of banking and

597
00:32:41,560 --> 00:32:44,880
Speaker 1: payments and bills and like, unless you live off the

598
00:32:44,960 --> 00:32:47,560
Speaker 1: grid in the middle of nowhere and grow your own

599
00:32:47,600 --> 00:32:50,520
Speaker 1: food and have your own water and generate your own

600
00:32:50,560 --> 00:32:54,360
Speaker 1: electricity and have your own medicine, Like, think about all

601
00:32:54,440 --> 00:32:59,760
Speaker 1: of the things that you need to not just subsist

602
00:33:00,440 --> 00:33:04,760
Speaker 1: but exist and potentially thrived be very hard to have

603
00:33:04,920 --> 00:33:08,640
Speaker 1: no or to not be connected. I don't mean no technology.

604
00:33:08,680 --> 00:33:12,160
Speaker 1: Maybe you can have a generator or whatever if that's technology,

605
00:33:12,200 --> 00:33:16,360
Speaker 1: but I mean technology technology. I think we're almost past

606
00:33:16,440 --> 00:33:17,400
Speaker 1: that time, aren't we.

607
00:33:18,440 --> 00:33:21,360
Speaker 2: I think we would risk being well for most of

608
00:33:21,440 --> 00:33:25,400
Speaker 2: us the way we engage. And you talked about things

609
00:33:25,480 --> 00:33:29,160
Speaker 2: like banking, it's getting increasingly difficult to do any sort

610
00:33:29,200 --> 00:33:31,880
Speaker 2: of banking unless you're doing it online. I went to

611
00:33:31,920 --> 00:33:34,760
Speaker 2: our local community bank recently to withdraw some money. I

612
00:33:34,840 --> 00:33:37,760
Speaker 2: don't normally use cash. In fact, I don't think I've

613
00:33:37,840 --> 00:33:40,920
Speaker 2: used cash since before COVID, so it's been what five

614
00:33:41,000 --> 00:33:44,920
Speaker 2: years or something. But the interesting thing is I got

615
00:33:44,960 --> 00:33:46,920
Speaker 2: my cards out. So I'm standing there with my wallet,

616
00:33:46,960 --> 00:33:49,320
Speaker 2: which just sits in my glovebox because again I don't

617
00:33:49,400 --> 00:33:52,160
Speaker 2: use it, and I'm putting all the different cards and

618
00:33:52,160 --> 00:33:54,320
Speaker 2: about five cards, and I put them into the cash

619
00:33:54,520 --> 00:33:56,960
Speaker 2: machine and they're all popping out and it's like none

620
00:33:57,000 --> 00:33:59,640
Speaker 2: of these work, Like I'm not getting any money out.

621
00:34:00,000 --> 00:34:02,040
Speaker 2: Manager came out and what the hell are you doing?

622
00:34:02,200 --> 00:34:04,600
Speaker 2: Because I know the manager and she's and she said, no, no,

623
00:34:04,600 --> 00:34:07,880
Speaker 2: none of your cards are enabled for ATM. It's like

624
00:34:08,120 --> 00:34:10,239
Speaker 2: what she said, no, no, none of the cards are

625
00:34:10,320 --> 00:34:12,799
Speaker 2: enabled for ATM because you don't get any interest if

626
00:34:12,840 --> 00:34:15,600
Speaker 2: you've got an account that has ATM access, But if

627
00:34:16,160 --> 00:34:18,840
Speaker 2: you have no ATM access, then you earn interest. And

628
00:34:18,840 --> 00:34:20,840
Speaker 2: it's like, well, how do I get money out? I

629
00:34:20,920 --> 00:34:22,560
Speaker 2: just come in to the bank and we'll you know,

630
00:34:22,760 --> 00:34:25,440
Speaker 2: we'll do it across the counter. I had no idea.

631
00:34:25,520 --> 00:34:27,560
Speaker 2: It had been five years since I've used an ATM,

632
00:34:27,600 --> 00:34:29,840
Speaker 2: and I realized that none of my cards work in

633
00:34:29,880 --> 00:34:30,840
Speaker 2: an ATM.

634
00:34:31,280 --> 00:34:33,160
Speaker 1: So what did you need cash for? Were you going

635
00:34:33,200 --> 00:34:35,399
Speaker 1: to see your mate that you're building a website for?

636
00:34:39,680 --> 00:34:42,760
Speaker 2: What did I need cash for? I don't know cash

637
00:34:43,840 --> 00:34:46,759
Speaker 2: I needed cash for. I had one of my colleagues

638
00:34:47,040 --> 00:34:49,040
Speaker 2: had a birthday and I wanted to put cash in.

639
00:34:49,239 --> 00:34:52,160
Speaker 2: Actually both of them, two colleagues had a birthday. One

640
00:34:52,160 --> 00:34:54,239
Speaker 2: of them just turned eighteen, and so I wanted to

641
00:34:54,239 --> 00:34:55,920
Speaker 2: put some cash in a card for him, and I

642
00:34:56,000 --> 00:34:57,960
Speaker 2: ended up getting one of those debit cards because he

643
00:34:58,040 --> 00:35:00,600
Speaker 2: wants to travel M. I thought to be easier just

644
00:35:00,600 --> 00:35:02,879
Speaker 2: getting the cash out and giving that and my other

645
00:35:02,960 --> 00:35:05,520
Speaker 2: colleague as a surprise, I put three hundred bucks into

646
00:35:05,560 --> 00:35:05,919
Speaker 2: his card.

647
00:35:07,000 --> 00:35:07,880
Speaker 1: We were very nice.

648
00:35:08,120 --> 00:35:08,800
Speaker 2: He didn't say.

649
00:35:11,880 --> 00:35:15,000
Speaker 1: You don't give to express something in return, you just

650
00:35:15,080 --> 00:35:18,719
Speaker 1: be nice. Come on, and now you've spoken about it publicly,

651
00:35:18,800 --> 00:35:20,799
Speaker 1: you're really really reaching, aren't you.

652
00:35:21,160 --> 00:35:22,520
Speaker 2: He's not going to listen to the podcast.

653
00:35:23,440 --> 00:35:27,640
Speaker 1: Scientists tell us that working from home makes us happier.

654
00:35:27,680 --> 00:35:30,080
Speaker 1: I reckon, that's a bit. I hate it when they

655
00:35:30,120 --> 00:35:35,320
Speaker 1: say generalize things. Yeah, it's like, well, does it everyone?

656
00:35:35,560 --> 00:35:38,879
Speaker 1: All the people? I don't know. I hate it when

657
00:35:38,880 --> 00:35:43,480
Speaker 1: they make unequivocal statements. No, we did some research and

658
00:35:43,520 --> 00:35:46,560
Speaker 1: with the people that we looked at in general, the

659
00:35:46,600 --> 00:35:50,399
Speaker 1: people that we looked at, I don't know. I feel

660
00:35:50,440 --> 00:35:52,959
Speaker 1: like there's a lot of people that don't come under

661
00:35:52,960 --> 00:35:55,440
Speaker 1: that banner. But it's an interesting conversation starter.

662
00:35:55,560 --> 00:36:00,680
Speaker 2: Anyway, four year Australian study, this is and this came.

663
00:36:00,800 --> 00:36:03,480
Speaker 2: This has all come to the four post COVID or

664
00:36:03,560 --> 00:36:07,040
Speaker 2: during COVID, I should say, you know, I've been running

665
00:36:07,040 --> 00:36:10,200
Speaker 2: a business from home for what twenty six years? And

666
00:36:10,680 --> 00:36:13,520
Speaker 2: you know, at one point you'd almost embarrassingly say that

667
00:36:13,560 --> 00:36:16,960
Speaker 2: you're working from home. But now it's become the done thing,

668
00:36:17,600 --> 00:36:20,320
Speaker 2: and you know, because a lot of people were forced

669
00:36:20,560 --> 00:36:24,759
Speaker 2: to do that, and there's legislation being enacted in Victoria

670
00:36:25,400 --> 00:36:28,640
Speaker 2: to make it compulsory for employers to allow staff to

671
00:36:28,680 --> 00:36:32,480
Speaker 2: work at least two days a week from home if

672
00:36:32,480 --> 00:36:34,320
Speaker 2: it's practicable. I mean, if you work in a factory,

673
00:36:34,320 --> 00:36:37,600
Speaker 2: that's not going to happen, but it makes sense. So

674
00:36:37,640 --> 00:36:42,000
Speaker 2: this this started, this study began just before the pandemic

675
00:36:42,320 --> 00:36:46,359
Speaker 2: and they was the University of South Australia and they

676
00:36:46,360 --> 00:36:49,640
Speaker 2: looked at teleworkers, so you know, and the impact on

677
00:36:50,120 --> 00:36:53,240
Speaker 2: their lives and they said that.

678
00:36:53,560 --> 00:36:56,560
Speaker 1: When what's a teleworker, you mean someone who's on the

679
00:36:56,560 --> 00:36:57,480
Speaker 1: phone and does.

680
00:36:57,920 --> 00:37:02,120
Speaker 2: Just working remotely. So tell so basically anybody who works

681
00:37:02,560 --> 00:37:08,359
Speaker 2: from home and is remotely yeah, so I mean yeah,

682
00:37:08,440 --> 00:37:11,839
Speaker 2: So the pandemic was accelerated the ability to work you know,

683
00:37:12,520 --> 00:37:14,719
Speaker 2: basically from home for anybody you know who was an

684
00:37:14,760 --> 00:37:18,960
Speaker 2: office worker. But media, it seems that the immediate effect

685
00:37:19,000 --> 00:37:22,400
Speaker 2: of working from home was better sleep. So that was

686
00:37:22,440 --> 00:37:25,479
Speaker 2: one of the things because on average, remote workers gained

687
00:37:25,480 --> 00:37:27,879
Speaker 2: an extra thirty minutes of rest overnight. And that makes

688
00:37:27,880 --> 00:37:31,400
Speaker 2: sense because if you're not commuting to work, then you

689
00:37:31,560 --> 00:37:34,600
Speaker 2: have more time after work knocks off to do all

690
00:37:34,640 --> 00:37:37,160
Speaker 2: the things that we have to do to live our lives,

691
00:37:37,480 --> 00:37:40,280
Speaker 2: which means we then are able to get to bed earlier.

692
00:37:40,400 --> 00:37:43,600
Speaker 2: Potentially and be able to get that extra sleep that

693
00:37:43,640 --> 00:37:45,160
Speaker 2: we all absolutely need.

694
00:37:45,440 --> 00:37:46,799
Speaker 1: So does that mean I'm going to have to go

695
00:37:46,840 --> 00:37:52,280
Speaker 1: and do my corporate gigs in people's homes? Good a, Brian,

696
00:37:52,320 --> 00:37:54,440
Speaker 1: I'm here for a workshop. It's just you and me.

697
00:37:58,640 --> 00:38:02,279
Speaker 1: Imagine if people stop going the corporate I'm fucked. Yeah,

698
00:38:02,360 --> 00:38:05,400
Speaker 1: what am I going to do? Yeah? I don't know.

699
00:38:05,640 --> 00:38:08,920
Speaker 2: I think it'll snuggle at your place.

700
00:38:09,000 --> 00:38:10,600
Speaker 1: Of course, we could do it in the front yard,

701
00:38:12,080 --> 00:38:16,000
Speaker 1: I think though, I understand it, but it seems like

702
00:38:16,160 --> 00:38:19,600
Speaker 1: everything's geared towards the employee, not the employer, like the

703
00:38:19,600 --> 00:38:24,080
Speaker 1: people who are actually paying them. It's like, can you go, okay,

704
00:38:24,120 --> 00:38:27,319
Speaker 1: we actually want you to be when you work. We

705
00:38:27,480 --> 00:38:30,000
Speaker 1: want you to be in the workplace. And it's like

706
00:38:30,120 --> 00:38:33,160
Speaker 1: if you say that, like you're a bad person. I'm like,

707
00:38:33,280 --> 00:38:35,680
Speaker 1: I feel like there are a lot of jobs, like

708
00:38:35,760 --> 00:38:38,319
Speaker 1: if you're a mechanic or a builder, or any kind

709
00:38:38,400 --> 00:38:42,080
Speaker 1: of tradee or a school teacher or and I know

710
00:38:42,120 --> 00:38:44,239
Speaker 1: you can do some of that. I just think that

711
00:38:45,320 --> 00:38:48,640
Speaker 1: I don't know where. And I totally understand it, and

712
00:38:48,640 --> 00:38:53,279
Speaker 1: I'm all for better conditions for employees, But when does

713
00:38:53,320 --> 00:38:56,120
Speaker 1: the tail stop wagging the dog? Like when does the

714
00:38:56,120 --> 00:38:59,560
Speaker 1: person who's paying the person have some right to say,

715
00:38:59,840 --> 00:39:01,719
Speaker 1: I actually want you here because I want to be

716
00:39:01,760 --> 00:39:04,200
Speaker 1: able to just talk to you frequently, and I want

717
00:39:04,239 --> 00:39:06,840
Speaker 1: to be able to build an environment we've got a

718
00:39:06,840 --> 00:39:09,440
Speaker 1: team of creatives in the same room, or I don't know,

719
00:39:09,960 --> 00:39:14,640
Speaker 1: like it feels for me, who's employed people to then

720
00:39:14,760 --> 00:39:19,440
Speaker 1: be told, oh, you can't you you have no control

721
00:39:19,560 --> 00:39:21,839
Speaker 1: over any of this. You've just got to do what

722
00:39:21,880 --> 00:39:24,239
Speaker 1: you're told and pay everyone and shut the fuck up.

723
00:39:24,280 --> 00:39:26,680
Speaker 1: I'm like, oh, I don't know that that would work

724
00:39:26,719 --> 00:39:27,799
Speaker 1: in a lot of businesses.

725
00:39:28,080 --> 00:39:30,520
Speaker 2: Look, I agree with you. I've got to say, when

726
00:39:30,600 --> 00:39:35,320
Speaker 2: my employee works from home, I'm less likely to engage.

727
00:39:35,680 --> 00:39:37,879
Speaker 2: We have phone calls and we chat, but I always

728
00:39:37,920 --> 00:39:39,719
Speaker 2: feel like I'm imposing on him. So if I have

729
00:39:39,760 --> 00:39:41,799
Speaker 2: a phone call and I hang up and then I

730
00:39:41,800 --> 00:39:44,239
Speaker 2: think of something thirty seconds later that I've meant to mention,

731
00:39:44,440 --> 00:39:47,560
Speaker 2: and I call it a Willoson imposition. Whereas when he's

732
00:39:47,600 --> 00:39:50,480
Speaker 2: in the office with me, oh, I joined a quick

733
00:39:50,520 --> 00:39:52,360
Speaker 2: read of this email before I send it, you know,

734
00:39:52,600 --> 00:39:54,319
Speaker 2: I go over to him and say, how's this job

735
00:39:54,360 --> 00:39:56,520
Speaker 2: you're working on going, And I'll have a look and

736
00:39:56,560 --> 00:39:58,239
Speaker 2: we'll see what he's working on. It's like I'll make

737
00:39:58,239 --> 00:40:01,919
Speaker 2: a couple of suggestions, but that doesn't work when he's

738
00:40:01,960 --> 00:40:04,839
Speaker 2: working remotely. I absolutely know that he's very good at

739
00:40:04,840 --> 00:40:08,120
Speaker 2: working remotely, and I get that, and it's good for

740
00:40:08,239 --> 00:40:10,200
Speaker 2: him because he can take his daughter to day care.

741
00:40:10,640 --> 00:40:13,040
Speaker 2: So two days a week he works from home, you know,

742
00:40:13,160 --> 00:40:15,799
Speaker 2: four three days he's in the office. But I feel

743
00:40:15,840 --> 00:40:18,440
Speaker 2: we're more productive when we're in the same room together,

744
00:40:18,520 --> 00:40:22,040
Speaker 2: and I feel I'm supported because I like to bounce

745
00:40:22,120 --> 00:40:24,360
Speaker 2: ideas off and you know me, I hate to talk.

746
00:40:25,719 --> 00:40:29,960
Speaker 1: Yeah, we know, I notice, But I also I don't know.

747
00:40:30,160 --> 00:40:32,000
Speaker 1: I guess there's no right wrong with this. But I

748
00:40:32,040 --> 00:40:35,000
Speaker 1: also think depending on the workplace and the culture. But

749
00:40:36,160 --> 00:40:38,120
Speaker 1: I know lots of people who actually really like their

750
00:40:38,200 --> 00:40:40,319
Speaker 1: job and they like where they work. And I know

751
00:40:40,360 --> 00:40:43,759
Speaker 1: people who also hate their job. But going to a

752
00:40:43,800 --> 00:40:46,480
Speaker 1: place where you've got friends and colleagues that you do

753
00:40:46,600 --> 00:40:49,799
Speaker 1: cool stuff with together and it is a good environment. Now,

754
00:40:49,840 --> 00:40:53,320
Speaker 1: I know this is not every workplace, but I also

755
00:40:53,400 --> 00:40:55,640
Speaker 1: think there's something to be said for getting out of

756
00:40:55,640 --> 00:40:58,440
Speaker 1: the house, going somewhere. Yeah.

757
00:40:58,520 --> 00:41:01,799
Speaker 2: Yeah, and I do that because I teach, and that's

758
00:41:01,840 --> 00:41:04,000
Speaker 2: a great way to get out and do that. I mean,

759
00:41:04,160 --> 00:41:06,080
Speaker 2: I'm at the gym in the morning and then walking Fritz,

760
00:41:06,360 --> 00:41:08,239
Speaker 2: so I spend at least two hours out of the

761
00:41:08,280 --> 00:41:10,840
Speaker 2: house even before I start work. But I love it

762
00:41:10,880 --> 00:41:13,319
Speaker 2: when I have an excuse to leave and if I

763
00:41:13,320 --> 00:41:15,759
Speaker 2: can have them. The other day, I think I told

764
00:41:15,800 --> 00:41:17,920
Speaker 2: you I got very excited because I'm a nerd and

765
00:41:17,960 --> 00:41:21,960
Speaker 2: we just opened a new library in Bland. It's very exciting.

766
00:41:22,800 --> 00:41:26,080
Speaker 2: But I I had a meeting with a client and

767
00:41:26,120 --> 00:41:27,719
Speaker 2: I just said, let's go to the library and meet

768
00:41:27,760 --> 00:41:29,920
Speaker 2: there because I've got meeting rooms and stuff, and it

769
00:41:30,000 --> 00:41:31,560
Speaker 2: was awesome just to be able to get out of

770
00:41:31,560 --> 00:41:33,040
Speaker 2: the house and meet somewhere different.

771
00:41:34,680 --> 00:41:37,319
Speaker 1: You know, it's not nineteen eighty two, don't you. We

772
00:41:37,440 --> 00:41:41,840
Speaker 1: got a library? What, Tiff? Can I ask you a question?

773
00:41:42,000 --> 00:41:47,120
Speaker 1: We've got a library. God, wait till the internet gets

774
00:41:47,160 --> 00:41:50,200
Speaker 1: to Bland. You guys are going to go nuts. Hey,

775
00:41:50,680 --> 00:41:56,200
Speaker 1: tif are you What are your thoughts on self driving cars?

776
00:41:56,760 --> 00:42:00,359
Speaker 1: Would you get in a self driving car? Would you go, hey,

777
00:42:00,800 --> 00:42:03,040
Speaker 1: take me to the gym and just sit in the

778
00:42:03,080 --> 00:42:05,000
Speaker 1: back seat and let yourself be driven.

779
00:42:05,600 --> 00:42:07,520
Speaker 3: I don't know, I don't even do you know what

780
00:42:07,800 --> 00:42:11,279
Speaker 3: I find weird. I've seem to have an issue with

781
00:42:11,360 --> 00:42:14,000
Speaker 3: the sound of electric cars when they drive past me.

782
00:42:14,080 --> 00:42:16,879
Speaker 3: The they freak me out. I feel like I'm in

783
00:42:16,920 --> 00:42:21,919
Speaker 3: some weird I don't know it's weird. So I don't

784
00:42:21,960 --> 00:42:23,160
Speaker 3: know how you feel about them.

785
00:42:23,760 --> 00:42:26,799
Speaker 2: Well, tell even eyes that you're hearing. That's about the

786
00:42:26,840 --> 00:42:27,560
Speaker 2: sound that you get in.

787
00:42:27,800 --> 00:42:30,839
Speaker 3: They've got this weird there's this weird noise that goes

788
00:42:30,880 --> 00:42:33,680
Speaker 3: bast I feel like I'm a sort of cipher. I'm

789
00:42:33,680 --> 00:42:37,080
Speaker 3: not repeating it. You're not bullying me.

790
00:42:37,640 --> 00:42:41,520
Speaker 1: Okay, Well they're they're on their way in Australia, as

791
00:42:41,520 --> 00:42:43,439
Speaker 1: Patrick will tell us in a moment, but also they're

792
00:42:43,440 --> 00:42:49,520
Speaker 1: already in California. There's already taxis and a bunch of

793
00:42:49,520 --> 00:42:52,360
Speaker 1: other things, which, yeah, so you order a cab, it

794
00:42:52,480 --> 00:42:56,359
Speaker 1: comes to your house driverless, you get in and it

795
00:42:56,400 --> 00:43:00,000
Speaker 1: takes you where you're going, and you're the only person

796
00:43:00,080 --> 00:43:03,400
Speaker 1: in the car. That's that's got to be interesting for

797
00:43:03,440 --> 00:43:04,640
Speaker 1: your first time doing that.

798
00:43:05,239 --> 00:43:08,280
Speaker 2: Well, at the moment. In Australia, Tesla has been allowed

799
00:43:08,280 --> 00:43:11,640
Speaker 2: to enable what they call full self driving, but there's

800
00:43:11,640 --> 00:43:16,319
Speaker 2: a caveat it's called supervised self driving, so you have

801
00:43:16,400 --> 00:43:19,719
Speaker 2: to be sitting at the steering will ready to take over.

802
00:43:19,920 --> 00:43:21,879
Speaker 2: So you you know, you can't be sitting around having

803
00:43:21,920 --> 00:43:24,360
Speaker 2: a nap. You can't be sitting in the passenger seat.

804
00:43:25,400 --> 00:43:28,279
Speaker 2: It's TIFF's given me this blank look. But what the

805
00:43:28,280 --> 00:43:29,600
Speaker 2: hell is the point?

806
00:43:30,920 --> 00:43:33,000
Speaker 1: I saw a video of a dude coming in a

807
00:43:33,080 --> 00:43:36,439
Speaker 1: Tesla from Sydney to Melbourne and he's got to sit

808
00:43:36,560 --> 00:43:39,880
Speaker 1: there like, I think it's more stressful than just driving,

809
00:43:40,200 --> 00:43:42,319
Speaker 1: because he's got to be fucking sitting there with his

810
00:43:42,400 --> 00:43:44,960
Speaker 1: hands at the ten to two but not on the wheel,

811
00:43:45,400 --> 00:43:48,359
Speaker 1: but just ready at any moment for a fucking ten

812
00:43:48,440 --> 00:43:51,239
Speaker 1: hour drive to take what's the point? I'm with you.

813
00:43:51,760 --> 00:43:53,120
Speaker 1: I want to sit in the back and have a

814
00:43:53,120 --> 00:43:57,399
Speaker 1: snoozy mcsnoozeter. Well, watch your video looking to happen.

815
00:43:58,719 --> 00:44:03,240
Speaker 2: I got to say that I use like assisted cruise

816
00:44:03,280 --> 00:44:06,560
Speaker 2: control in my car and lane assist, so my car

817
00:44:06,680 --> 00:44:08,879
Speaker 2: will use adaptive cruise control. If the car in front

818
00:44:08,920 --> 00:44:11,279
Speaker 2: of me starts to slow down, the cruise control will

819
00:44:11,320 --> 00:44:15,279
Speaker 2: slow down accordingly and maintain the distance. It's safer if

820
00:44:15,320 --> 00:44:18,040
Speaker 2: someone jams on their brakes, the car potentially Well, I've

821
00:44:18,040 --> 00:44:20,880
Speaker 2: actually had this one. I've reversed into my driveway because

822
00:44:20,920 --> 00:44:25,120
Speaker 2: I hadn't trimmed the hedge well enough, I started reversing.

823
00:44:25,480 --> 00:44:26,240
Speaker 1: Such a metaphor.

824
00:44:28,280 --> 00:44:30,719
Speaker 2: I'm pretty good usually at trimming the hedge. Yeah, I

825
00:44:30,920 --> 00:44:34,760
Speaker 2: like to keep it tidy. As I reversed into the drive,

826
00:44:35,200 --> 00:44:38,000
Speaker 2: the car slammed on the brakes, So it's like, what

827
00:44:38,080 --> 00:44:40,520
Speaker 2: the hell just happened? Did I hit something? And it

828
00:44:40,600 --> 00:44:43,560
Speaker 2: was just that the bush was poking out a little bit,

829
00:44:43,960 --> 00:44:47,760
Speaker 2: and so I subsequently got out of my heage trimmer

830
00:44:47,800 --> 00:44:49,600
Speaker 2: and trim the hedge.

831
00:44:51,040 --> 00:44:53,240
Speaker 1: Notice how quiet I am here? Yeah?

832
00:44:53,320 --> 00:44:55,680
Speaker 2: Yeah, no, But those things are handy. So if you're

833
00:44:55,680 --> 00:44:57,879
Speaker 2: reversing and a child ran out in front of you

834
00:44:57,960 --> 00:45:00,640
Speaker 2: and you didn't see them, or a dog, a cat,

835
00:45:01,200 --> 00:45:03,200
Speaker 2: then your car potentially.

836
00:45:02,719 --> 00:45:06,600
Speaker 1: We get that. That's the old technology. Patrick, twenty nineteen.

837
00:45:06,680 --> 00:45:09,840
Speaker 1: Suzuki's got all that shit. Let's talk about No, stop

838
00:45:09,880 --> 00:45:12,880
Speaker 1: distracting us with your bullshit, Mazda, Let's go back to

839
00:45:12,960 --> 00:45:17,040
Speaker 1: fucking Oh, I guess what my car's got, adaptive cruise control.

840
00:45:17,239 --> 00:45:22,040
Speaker 1: Fucking hell, that's a newsplash. Let's talk about Tesla's that

841
00:45:22,200 --> 00:45:24,720
Speaker 1: can drive you around while you're sitting in the back seat.

842
00:45:25,400 --> 00:45:27,040
Speaker 1: When is that actually happening?

843
00:45:27,480 --> 00:45:30,000
Speaker 2: Well, the foot well, not in the back seat. Because

844
00:45:30,000 --> 00:45:35,319
Speaker 2: it's a legislative not technology. So legislatively, no government in

845
00:45:35,360 --> 00:45:37,919
Speaker 2: Australia is going to let a car on the road

846
00:45:38,000 --> 00:45:41,440
Speaker 2: that's full self driving. They want ever like ever at

847
00:45:41,440 --> 00:45:45,000
Speaker 2: the moment, at the moment, they prove themselves. So the

848
00:45:45,560 --> 00:45:48,319
Speaker 2: argument from Tesla is that cameras don't blink, they don't

849
00:45:48,320 --> 00:45:52,760
Speaker 2: get tired, they don't get distracted, and so potentially having

850
00:45:52,840 --> 00:45:55,600
Speaker 2: that car in that autonomous mode of full self driving

851
00:45:55,640 --> 00:45:58,120
Speaker 2: mode is going to be safer even if you're sitting

852
00:45:58,120 --> 00:46:01,120
Speaker 2: there at ten to two ready to take over control,

853
00:46:01,480 --> 00:46:04,960
Speaker 2: because the car will react better than what they're claiming.

854
00:46:04,960 --> 00:46:07,160
Speaker 2: The car will react better than what a human driver will.

855
00:46:07,719 --> 00:46:11,160
Speaker 1: I think you're right, and I think also I think

856
00:46:11,200 --> 00:46:13,400
Speaker 1: they're right. I think we don't want to think about that.

857
00:46:13,600 --> 00:46:16,439
Speaker 1: But you know, every now and then you go, oh,

858
00:46:16,560 --> 00:46:19,200
Speaker 1: a Tesla ran over four people, or it did this

859
00:46:19,320 --> 00:46:22,520
Speaker 1: or that, But you think about all the human error

860
00:46:22,560 --> 00:46:28,440
Speaker 1: accidents that happen every day all around the world. I

861
00:46:28,560 --> 00:46:30,960
Speaker 1: you know, I would say they are far there's going

862
00:46:31,040 --> 00:46:34,040
Speaker 1: to be even when we do have full automated self

863
00:46:34,080 --> 00:46:36,920
Speaker 1: driving cars. I would think there will be accidents, but

864
00:46:36,960 --> 00:46:39,359
Speaker 1: I think it will be I could be wrong, but

865
00:46:39,440 --> 00:46:43,919
Speaker 1: I feel like it'll be overwhelmingly safer than humans doing

866
00:46:43,920 --> 00:46:47,359
Speaker 1: the job. For the reason that you said, yes, Tiff, yes,

867
00:46:47,400 --> 00:46:50,600
Speaker 1: you're with your hand up in row four. I love

868
00:46:50,600 --> 00:46:53,360
Speaker 1: it when you put up your hand like you're at school. Everyone.

869
00:46:54,840 --> 00:46:57,760
Speaker 1: I just say, your camera has changed. It keeps zooming

870
00:46:57,800 --> 00:46:58,480
Speaker 1: in and out on you.

871
00:46:58,560 --> 00:47:01,359
Speaker 3: What's that about, zoomer me if I wanted it to

872
00:47:01,400 --> 00:47:03,680
Speaker 3: do that? And I said, that sounds great, zoom let's

873
00:47:03,719 --> 00:47:04,040
Speaker 3: do it.

874
00:47:04,120 --> 00:47:06,000
Speaker 1: And every now, every time you put your head in

875
00:47:06,040 --> 00:47:08,719
Speaker 1: your hands, which is every two minutes, we see the

876
00:47:08,719 --> 00:47:11,920
Speaker 1: top of a scone. You got a little dandruff. Bro,

877
00:47:12,000 --> 00:47:14,160
Speaker 1: I don't you know. I'm just just letting you know.

878
00:47:14,560 --> 00:47:15,319
Speaker 1: Maybe just some.

879
00:47:15,480 --> 00:47:18,799
Speaker 3: Coind quite a few silver hairs sprouting through, by the way,

880
00:47:19,560 --> 00:47:21,359
Speaker 3: But that's not what my hand was raised for. It

881
00:47:21,480 --> 00:47:25,200
Speaker 3: was to say, my biggest concern is, as if people

882
00:47:25,239 --> 00:47:27,640
Speaker 3: aren't going to hack them hack everything else, people are

883
00:47:27,640 --> 00:47:30,400
Speaker 3: going to hack that shit and crazy stuff will happen.

884
00:47:31,200 --> 00:47:35,160
Speaker 1: Yeah. I'm with you on that. Yeah, that's like I mean,

885
00:47:35,200 --> 00:47:38,000
Speaker 1: it's essentially a computer on wheels, as if they're not

886
00:47:38,080 --> 00:47:38,840
Speaker 1: going to be hacked.

887
00:47:38,960 --> 00:47:39,720
Speaker 3: Yeah.

888
00:47:39,800 --> 00:47:41,480
Speaker 1: Oh look, and now I'm doing one hundred and eighty

889
00:47:41,560 --> 00:47:45,040
Speaker 1: kilometers an hour towards that tree. Oh and I'm a

890
00:47:45,080 --> 00:47:48,719
Speaker 1: politician that people or whatever it is like, Yeah, that

891
00:47:49,080 --> 00:47:53,200
Speaker 1: that scares me. Yeah, Patrick fixed that wair if you could.

892
00:47:53,640 --> 00:47:56,200
Speaker 1: If you could, Patrick, fix that and get back.

893
00:47:56,000 --> 00:47:59,719
Speaker 2: To us, I will all right to do list Craigo.

894
00:48:00,280 --> 00:48:02,080
Speaker 1: Yeah, if you could. I know you've got not much

895
00:48:02,160 --> 00:48:07,399
Speaker 1: on can you. I want to jump ships a little bit.

896
00:48:07,520 --> 00:48:13,400
Speaker 1: Dutch designers innovate tiny home. I'm a bit obsessed with

897
00:48:13,480 --> 00:48:16,880
Speaker 1: tiny homes everyone. I think I'd like to live in

898
00:48:16,880 --> 00:48:20,960
Speaker 1: one for a year or two. Tiny home inside recycled

899
00:48:21,040 --> 00:48:26,279
Speaker 1: wind turbine. It's either that or those buddy shipping containers.

900
00:48:26,840 --> 00:48:28,920
Speaker 1: I don't mind a good shipping container.

901
00:48:28,520 --> 00:48:31,359
Speaker 2: That's been frocked up a bit, especially when you get

902
00:48:31,360 --> 00:48:34,360
Speaker 2: them on top of each other where they're offset.

903
00:48:34,080 --> 00:48:37,160
Speaker 1: And you can yeah, like a big genger kind of thing.

904
00:48:37,560 --> 00:48:40,360
Speaker 2: Yep, yep, tetris like in the Tetris.

905
00:48:40,960 --> 00:48:43,320
Speaker 1: Yeah, this is because one of the I mean, it's.

906
00:48:43,200 --> 00:48:44,920
Speaker 2: Great that there are a lot of wind turn bides

907
00:48:44,960 --> 00:48:46,600
Speaker 2: around now. I don't know if you've ever been up

908
00:48:46,640 --> 00:48:51,400
Speaker 2: close and personal next to a wind turbine, but they're gigantic, like,

909
00:48:51,440 --> 00:48:56,400
Speaker 2: they're massively big, and the problem is the environmental sustainability

910
00:48:56,400 --> 00:49:00,319
Speaker 2: of these once they become decommissioned. And so I have

911
00:49:00,320 --> 00:49:01,719
Speaker 2: a bit of a chuckle when I saw the name

912
00:49:01,760 --> 00:49:06,000
Speaker 2: of this eco friendly innovation. It's called Nestle, which could

913
00:49:06,000 --> 00:49:08,960
Speaker 2: be pronounced nestle or nestlay. So it's either I'm going

914
00:49:09,000 --> 00:49:11,080
Speaker 2: to eat it, or I'm going to live in it

915
00:49:11,560 --> 00:49:14,000
Speaker 2: because could be a block of chocolate, mate.

916
00:49:13,960 --> 00:49:15,919
Speaker 1: Or I'm going to snuggle up next to it. Yeah.

917
00:49:16,360 --> 00:49:19,640
Speaker 2: Yeah. So each of the units measures about three hundred

918
00:49:19,680 --> 00:49:23,040
Speaker 2: and seventy six square feet. So what's that about, like

919
00:49:23,120 --> 00:49:26,520
Speaker 2: a square, like one hundred square meters or something? No,

920
00:49:26,800 --> 00:49:29,440
Speaker 2: how much three hundred and seventy what three hundred and

921
00:49:29,440 --> 00:49:30,600
Speaker 2: seventy six square feet?

922
00:49:31,280 --> 00:49:34,919
Speaker 1: Well, that's like twenty feet by twenty feet just under

923
00:49:35,120 --> 00:49:40,560
Speaker 1: So it's like five meters by four meters, which is like, no, no, no, no,

924
00:49:40,600 --> 00:49:41,240
Speaker 1: it's tiny.

925
00:49:41,719 --> 00:49:43,600
Speaker 2: What's that in square meters? Though, because I don't know

926
00:49:43,640 --> 00:49:45,799
Speaker 2: square feet, I should have probably done the calculations.

927
00:49:46,080 --> 00:49:50,759
Speaker 1: Okay, well it's like is five by four is twenty

928
00:49:50,800 --> 00:49:51,719
Speaker 1: square meters?

929
00:49:51,920 --> 00:49:54,799
Speaker 2: Are twenty square meters? Okay, that sounds good. So they

930
00:49:55,040 --> 00:49:59,399
Speaker 2: are making these really great little stylish you know, they're

931
00:49:59,480 --> 00:50:03,560
Speaker 2: using European Well they're getting people to kind of move

932
00:50:03,560 --> 00:50:07,400
Speaker 2: into them. And it sounds like the perfect way to

933
00:50:07,480 --> 00:50:12,279
Speaker 2: recycle and repurpose these turbine parts. And you know, I

934
00:50:12,360 --> 00:50:15,880
Speaker 2: lived in a caravan for about three years. When I

935
00:50:15,920 --> 00:50:18,440
Speaker 2: was about sixteen, I bought a caravan and moved out

936
00:50:18,440 --> 00:50:21,239
Speaker 2: into the backyard and it was I had my own

937
00:50:21,280 --> 00:50:23,319
Speaker 2: little what why are you laughing at me?

938
00:50:23,400 --> 00:50:25,440
Speaker 1: I bought a caravan and I moved out. Where'd you go?

939
00:50:25,480 --> 00:50:25,640
Speaker 2: Oh?

940
00:50:25,680 --> 00:50:30,440
Speaker 1: The backyard? What? Yeah? Seven feet from mum so she

941
00:50:30,480 --> 00:50:32,560
Speaker 1: could wash my clothes and make my dinner.

942
00:50:32,800 --> 00:50:34,440
Speaker 2: I had it in com too, so I could just

943
00:50:34,520 --> 00:50:36,600
Speaker 2: press to see when it was ready to.

944
00:50:36,680 --> 00:50:39,240
Speaker 1: Yeah, Mum's dinner ready. And also, what about my jocks?

945
00:50:39,280 --> 00:50:42,840
Speaker 1: What's the status on those? It's a status on my jocks?

946
00:50:42,920 --> 00:50:48,160
Speaker 1: Over hell on pathnic. Can you impersonate your mum for me? Please? No?

947
00:50:48,400 --> 00:50:51,520
Speaker 2: I would not I would not go that far, my

948
00:50:52,040 --> 00:50:54,480
Speaker 2: lovely mother. I wouldn't do that. Actually I couldn't.

949
00:50:54,520 --> 00:50:54,640
Speaker 4: You know.

950
00:50:54,640 --> 00:50:58,120
Speaker 2: It's funny. I do a really good Maltese accent, but

951
00:50:58,200 --> 00:51:01,120
Speaker 2: when I heard my parents talk, couldn't hear their accent?

952
00:51:02,280 --> 00:51:04,919
Speaker 1: Wow? Well let's hear it. Let's hear your really good

953
00:51:04,960 --> 00:51:07,640
Speaker 1: Maltese accent. Well, can we say to everyone you are

954
00:51:07,719 --> 00:51:10,040
Speaker 1: Maltese by heritage.

955
00:51:09,680 --> 00:51:13,040
Speaker 2: By heritage, demoritese accent sounds like this. If I talk

956
00:51:13,080 --> 00:51:16,680
Speaker 2: about the Dutch engineers who innovate the tiny hole wind,

957
00:51:16,760 --> 00:51:18,720
Speaker 2: say his say cold wind turbine.

958
00:51:19,440 --> 00:51:23,720
Speaker 1: Oh oh that's pretty good, dude, that's pretty good. Wow,

959
00:51:23,920 --> 00:51:29,600
Speaker 1: that's better than my Irish, which I'm not doing accent.

960
00:51:30,360 --> 00:51:32,880
Speaker 2: Mind, I can do an Irish accent till the cows

961
00:51:32,920 --> 00:51:33,399
Speaker 2: come home.

962
00:51:34,239 --> 00:51:37,040
Speaker 1: Well, you're pretty good at that. That's the voiceover man

963
00:51:37,080 --> 00:51:38,920
Speaker 1: in you coming out. Tip. Would you like to live

964
00:51:38,960 --> 00:51:40,799
Speaker 1: in a tiny home for a year or two? I'd

965
00:51:40,880 --> 00:51:43,759
Speaker 1: love to, I reckon be all right with a pet

966
00:51:43,800 --> 00:51:46,399
Speaker 1: horse if I was. Imagine if you were stinking rich

967
00:51:46,440 --> 00:51:49,520
Speaker 1: and you just build an estate of tiny homes, had

968
00:51:49,640 --> 00:51:53,080
Speaker 1: like a thousand tiny homes, I wonder, and you could

969
00:51:53,080 --> 00:51:56,719
Speaker 1: sell them for like one hundred and twenty grand, so

970
00:51:56,800 --> 00:51:58,800
Speaker 1: everyone could, Well not everyone could, but you know what

971
00:51:58,880 --> 00:52:01,640
Speaker 1: I mean, what's what's the median price of a house

972
00:52:01,640 --> 00:52:05,840
Speaker 1: in Melbourne? A trillion dollars? What do you get for

973
00:52:05,840 --> 00:52:09,000
Speaker 1: one hundred grand? You get a letterbox and a yakka

974
00:52:09,200 --> 00:52:09,719
Speaker 1: next to it.

975
00:52:12,160 --> 00:52:16,680
Speaker 2: Hucknell Well countries are looking into the affordability and trying

976
00:52:16,680 --> 00:52:19,560
Speaker 2: to get people into the housing market by producing eco

977
00:52:19,600 --> 00:52:23,960
Speaker 2: sustainable housing like the shipping containers and now this idea

978
00:52:24,000 --> 00:52:27,640
Speaker 2: of having a recycled wind turbine. But it would be

979
00:52:27,719 --> 00:52:30,919
Speaker 2: so good for young people. I look at my young

980
00:52:30,960 --> 00:52:33,719
Speaker 2: people that I know, my friend's kids, and you think,

981
00:52:33,760 --> 00:52:35,800
Speaker 2: how the hell you know if you live in Hampton,

982
00:52:36,200 --> 00:52:38,360
Speaker 2: how the hell are you ever going to buy in Hampton?

983
00:52:38,600 --> 00:52:40,680
Speaker 2: And this is happening in a lot of places where

984
00:52:40,960 --> 00:52:44,479
Speaker 2: young people are being displaced from the suburbs they grew

985
00:52:44,560 --> 00:52:47,800
Speaker 2: up in because they can't afford to buy in that suburb.

986
00:52:48,080 --> 00:52:52,000
Speaker 2: So it's happening in a lot of towns where you've

987
00:52:52,040 --> 00:52:55,760
Speaker 2: got resort towns, so places four Key and Ocean Grove.

988
00:52:56,200 --> 00:52:58,480
Speaker 2: So if you grew up there surfing as a kid,

989
00:52:58,920 --> 00:53:01,600
Speaker 2: once you get to the point where you may want

990
00:53:01,600 --> 00:53:04,080
Speaker 2: to move out of home and buy a place, it's

991
00:53:04,200 --> 00:53:06,880
Speaker 2: too out of the spectrum because it's too expensive. They

992
00:53:06,880 --> 00:53:10,040
Speaker 2: can't they can't buy in the town that they grew

993
00:53:10,120 --> 00:53:10,440
Speaker 2: up in.

994
00:53:11,120 --> 00:53:13,920
Speaker 1: That's why everyone head to the land. That's where it's at.

995
00:53:14,320 --> 00:53:17,239
Speaker 1: That's it's Patrick starting a cult pretty soon.

996
00:53:17,719 --> 00:53:19,840
Speaker 2: That'd be good leader, do you Beckon? I could be

997
00:53:19,880 --> 00:53:21,800
Speaker 2: a cult leader? Maybe On edit career change.

998
00:53:23,840 --> 00:53:26,520
Speaker 1: You could definitely be involved in a cult. I feel

999
00:53:26,560 --> 00:53:28,880
Speaker 1: more like you'd be the wife of the cult leader.

1000
00:53:29,200 --> 00:53:34,000
Speaker 1: You so i'm your missus pretty much pretty much, you

1001
00:53:34,040 --> 00:53:36,960
Speaker 1: could be my wife. I don't want to be a

1002
00:53:37,000 --> 00:53:40,759
Speaker 1: cult leader. No, I don't know. You're more You're not

1003
00:53:40,840 --> 00:53:45,440
Speaker 1: that bossy. I mean you're definitely, You're definitely smart enough

1004
00:53:45,480 --> 00:53:48,240
Speaker 1: if you wanted. But I don't think you want a cult.

1005
00:53:48,400 --> 00:53:50,160
Speaker 1: I don't want a cult? Who wants a cult?

1006
00:53:50,400 --> 00:53:53,200
Speaker 2: If in this conversation these three windows, who's the cult

1007
00:53:53,280 --> 00:53:55,040
Speaker 2: leader out of the three?

1008
00:53:56,000 --> 00:54:00,799
Speaker 1: Well, that's no one. It might be Tiff, it might

1009
00:54:00,880 --> 00:54:03,120
Speaker 1: you might be two, I see, and I might just

1010
00:54:03,200 --> 00:54:07,200
Speaker 1: do security at the front gate, heeping out the Feds.

1011
00:54:07,480 --> 00:54:11,520
Speaker 1: He carries about she could be a cult leader. Well,

1012
00:54:11,560 --> 00:54:13,759
Speaker 1: she kind of is, Hey, can you do one more

1013
00:54:13,800 --> 00:54:15,759
Speaker 1: story because I need to go and eat food because

1014
00:54:15,760 --> 00:54:19,319
Speaker 1: I'm getting like TIF, I'm getting angry. You're a bit

1015
00:54:19,360 --> 00:54:22,680
Speaker 1: angry at the moment. Yep, yeah, ye, So can you

1016
00:54:22,719 --> 00:54:24,279
Speaker 1: can you shove it along a little bit?

1017
00:54:25,120 --> 00:54:27,640
Speaker 2: Sheeers, I can't find the story. I'm just going to

1018
00:54:27,640 --> 00:54:31,279
Speaker 2: talk about it anyway. So Radian we talked about a

1019
00:54:31,280 --> 00:54:33,560
Speaker 2: few Australian innovations and I love it when Australians come

1020
00:54:33,600 --> 00:54:37,160
Speaker 2: up with innovations. But some scientists in Australia have come

1021
00:54:37,239 --> 00:54:40,720
Speaker 2: up with a way too. And you'll love this because

1022
00:54:40,760 --> 00:54:43,839
Speaker 2: I know you like to lurk around your suburb at

1023
00:54:43,920 --> 00:54:49,680
Speaker 2: night to give people. I I resemble that comment, Patrick,

1024
00:54:51,320 --> 00:54:53,640
Speaker 2: because I know my friends say that you walked us

1025
00:54:53,719 --> 00:54:54,240
Speaker 2: their house.

1026
00:54:54,600 --> 00:54:57,759
Speaker 1: I do. That's I think I must be the hamp

1027
00:54:57,880 --> 00:55:00,600
Speaker 1: and fucking weirdo because I'm out in the dark like

1028
00:55:00,640 --> 00:55:04,280
Speaker 1: a ninja. People just go, what is wrong with that guy?

1029
00:55:04,640 --> 00:55:04,960
Speaker 3: I know?

1030
00:55:05,120 --> 00:55:07,960
Speaker 1: I apologize, I'm friendly. You can say hello.

1031
00:55:09,160 --> 00:55:12,839
Speaker 2: Now They've got an ultra thin film that can turn

1032
00:55:13,000 --> 00:55:16,680
Speaker 2: ordinary glasses into night vision goggles if you wanted to

1033
00:55:16,680 --> 00:55:18,680
Speaker 2: buy night vision goggles. We've seen him in the movies,

1034
00:55:18,719 --> 00:55:20,600
Speaker 2: you know, the special ops people they wear those big

1035
00:55:20,680 --> 00:55:25,520
Speaker 2: chunky rectangus. Getting rid of all of that. So straights

1036
00:55:25,880 --> 00:55:28,520
Speaker 2: come up with a new way that could potentially transform

1037
00:55:28,719 --> 00:55:31,239
Speaker 2: how we walk around at night. And that could just

1038
00:55:31,280 --> 00:55:34,960
Speaker 2: be as simple as you not tripping over something when

1039
00:55:34,960 --> 00:55:38,600
Speaker 2: you're out evening walk. You know, I'm not suggesting it's

1040
00:55:38,600 --> 00:55:42,160
Speaker 2: for nefarious reasons that Craig may want to have night

1041
00:55:42,239 --> 00:55:45,800
Speaker 2: vision when he goes out for his walk. But there's organization.

1042
00:55:45,920 --> 00:55:51,200
Speaker 2: It's the ARC Center of Excellence for transformative meta optical systems.

1043
00:55:51,880 --> 00:55:53,720
Speaker 1: Of course it is. Do you know what else would

1044
00:55:53,719 --> 00:55:57,279
Speaker 1: be good? If they could have heat detecting in it

1045
00:55:57,320 --> 00:55:59,399
Speaker 1: as well, so I can see, you know, where live

1046
00:55:59,480 --> 00:56:02,400
Speaker 1: things are as I move across the urban landscape.

1047
00:56:02,719 --> 00:56:03,960
Speaker 2: Just turn it back to creepy.

1048
00:56:05,880 --> 00:56:11,600
Speaker 1: That's just for personal security. It is, it is, I reckon,

1049
00:56:11,760 --> 00:56:15,279
Speaker 1: it's yes, I was going to talk about something else. No,

1050
00:56:15,440 --> 00:56:17,000
Speaker 1: I would like a pair of those? Would you like

1051
00:56:17,040 --> 00:56:17,640
Speaker 1: a pair of those?

1052
00:56:17,640 --> 00:56:17,879
Speaker 3: Though?

1053
00:56:18,440 --> 00:56:22,000
Speaker 2: Yeah? Absolutely, it makes it would make night vision much

1054
00:56:22,000 --> 00:56:24,960
Speaker 2: more accessible as well, so because it's at the moment

1055
00:56:24,960 --> 00:56:29,200
Speaker 2: it's really just soldiers and people working professional bird watches

1056
00:56:29,280 --> 00:56:32,040
Speaker 2: or something. But the no, it could be really good

1057
00:56:32,120 --> 00:56:34,239
Speaker 2: to have that for safety and for lots of other

1058
00:56:34,280 --> 00:56:37,319
Speaker 2: reasons as well well. Even driving at night. You could

1059
00:56:37,320 --> 00:56:39,960
Speaker 2: potentially be driving and not have your headlocks on.

1060
00:56:40,520 --> 00:56:43,440
Speaker 1: Oh yeah, gee, let's try that, shall we? Hey, everyone,

1061
00:56:43,520 --> 00:56:47,840
Speaker 1: let's just do a little social experiment, automotive experiment. Let's no,

1062
00:56:48,520 --> 00:56:49,719
Speaker 1: let's not do that for.

1063
00:56:49,680 --> 00:56:52,400
Speaker 3: A night time we and not having to turn the

1064
00:56:52,520 --> 00:56:55,239
Speaker 3: lights on and wake yourself up with all the blue light.

1065
00:56:55,800 --> 00:56:57,799
Speaker 1: Oh, that's such an issue. Isn't it when you get

1066
00:56:57,840 --> 00:56:59,440
Speaker 1: up and you need a Wii and you turn that

1067
00:56:59,480 --> 00:57:02,399
Speaker 1: shit on and it's like fox up your sleep. Yeah,

1068
00:57:02,480 --> 00:57:04,360
Speaker 1: that's why I just go. I think this is the

1069
00:57:04,400 --> 00:57:06,279
Speaker 1: toilet in front of me. I'll do my best and

1070
00:57:06,320 --> 00:57:10,319
Speaker 1: I'll deal with it at six am. What's all that

1071
00:57:10,480 --> 00:57:18,000
Speaker 1: splashing on my calves? What's that? And my shins? Hold it?

1072
00:57:18,120 --> 00:57:18,520
Speaker 2: Crago?

1073
00:57:19,400 --> 00:57:22,720
Speaker 1: Yeah? Or you can always you know, you can always

1074
00:57:22,760 --> 00:57:24,800
Speaker 1: sit down, but that's not you don't want to do

1075
00:57:24,880 --> 00:57:27,560
Speaker 1: that when you're a boy. Do you do.

1076
00:57:27,520 --> 00:57:30,280
Speaker 2: You remember we had a train at Harper's whose wife

1077
00:57:30,440 --> 00:57:31,320
Speaker 2: made him sit down?

1078
00:57:31,360 --> 00:57:35,800
Speaker 1: Do you remember that a trainer at Harper's who's do

1079
00:57:35,920 --> 00:57:38,000
Speaker 1: not tell us the name on air, but definitely tell

1080
00:57:38,080 --> 00:57:40,320
Speaker 1: us what do you mean he's oh, so that he

1081
00:57:40,320 --> 00:57:41,440
Speaker 1: wouldn't piss everywhere?

1082
00:57:41,880 --> 00:57:45,000
Speaker 2: Yep, he's under strict instructions. You have to sit down,

1083
00:57:45,560 --> 00:57:46,520
Speaker 2: not to let us stand up.

1084
00:57:47,080 --> 00:57:51,160
Speaker 1: Yeah, well that's wow. I need to dissown whoever that

1085
00:57:51,320 --> 00:57:54,240
Speaker 1: was before you even tell me who that was? Patrick? Whereon?

1086
00:57:54,360 --> 00:58:00,400
Speaker 1: People learn about you and what you do, and join

1087
00:58:00,440 --> 00:58:02,840
Speaker 1: your cult and come and stay at your house.

1088
00:58:02,880 --> 00:58:07,240
Speaker 2: Overnight websites noow dot com today you is the main

1089
00:58:07,360 --> 00:58:10,200
Speaker 2: website or you could get them chi at home dot

1090
00:58:10,200 --> 00:58:11,919
Speaker 2: com today you if you feel like you just want

1091
00:58:11,920 --> 00:58:13,920
Speaker 2: to hang out and do tie chi with me.

1092
00:58:15,240 --> 00:58:16,640
Speaker 1: Perfect both ways.

1093
00:58:17,040 --> 00:58:20,560
Speaker 2: And also, thank you so much, we finally got someone

1094
00:58:20,600 --> 00:58:22,560
Speaker 2: who kind of had some feedback. That was great that

1095
00:58:22,720 --> 00:58:25,520
Speaker 2: Jane took the trouble to ask us to talk about something.

1096
00:58:25,600 --> 00:58:28,360
Speaker 2: So if you want to talk to us something, just

1097
00:58:28,400 --> 00:58:30,760
Speaker 2: go to websitesnow dot com today.

1098
00:58:30,800 --> 00:58:34,880
Speaker 1: You you just made this podcast sound so tragic when

1099
00:58:34,960 --> 00:58:39,000
Speaker 1: you just highlighted that a person sent a question, a

1100
00:58:39,160 --> 00:58:41,080
Speaker 1: person get scarted with them.

1101
00:58:41,600 --> 00:58:44,040
Speaker 2: They care looking you know what, people enjoy listening. They

1102
00:58:44,040 --> 00:58:46,000
Speaker 2: don't feel they have to contribute, but if they want to,

1103
00:58:46,360 --> 00:58:48,200
Speaker 2: they can, and they sure can.

1104
00:58:48,960 --> 00:58:51,440
Speaker 1: Can I say, how funny you look holding what appears

1105
00:58:51,480 --> 00:58:53,280
Speaker 1: to be a bottle of beer in your hands, but

1106
00:58:53,360 --> 00:58:56,640
Speaker 1: it's kom butcher. If we know you're angry, we're going

1107
00:58:56,680 --> 00:58:57,760
Speaker 1: to let you go. But what are you going to

1108
00:58:57,800 --> 00:59:00,040
Speaker 1: shove in your face? What's the go to when you're hang.

1109
00:59:01,160 --> 00:59:03,800
Speaker 3: The place next door to where I took my clients

1110
00:59:03,880 --> 00:59:07,200
Speaker 3: is fair Feed and they have the best home cooked

1111
00:59:07,280 --> 00:59:10,080
Speaker 3: awesome chef prepared, not home cooked chef prepared me. So

1112
00:59:10,080 --> 00:59:12,040
Speaker 3: I got I can't remember I bought, but I bought

1113
00:59:12,080 --> 00:59:14,600
Speaker 3: some slow cooked meats. I'm going to whip that up.

1114
00:59:16,080 --> 00:59:17,760
Speaker 1: Is that the place where you're going and you get

1115
00:59:17,800 --> 00:59:20,800
Speaker 1: food and then you just pay whatever you think is no?

1116
00:59:20,880 --> 00:59:24,600
Speaker 3: This place started up around COVID time when we were

1117
00:59:24,760 --> 00:59:29,919
Speaker 3: in lockdown, and it's just like a sustainable little establishment

1118
00:59:30,160 --> 00:59:32,680
Speaker 3: and they've got chefs there and they cook all that.

1119
00:59:32,920 --> 00:59:35,880
Speaker 3: It's really good food, it's really tasty, and it's really

1120
00:59:36,160 --> 00:59:37,040
Speaker 3: awesome priced.

1121
00:59:37,080 --> 00:59:40,960
Speaker 1: So is it not for profit? Is my question? Or

1122
00:59:41,000 --> 00:59:41,800
Speaker 1: is it a business?

1123
00:59:42,240 --> 00:59:47,880
Speaker 3: It's a social enterprise right, and they're lovely too, So

1124
00:59:48,000 --> 00:59:51,360
Speaker 3: I drop it there once a week when I'm training people.

1125
00:59:51,200 --> 00:59:53,080
Speaker 1: Give a shout out. What's their name again? What's the

1126
00:59:53,160 --> 00:59:56,360
Speaker 1: business name? Or the social enterprise? What? Fair feed?

1127
00:59:56,520 --> 00:59:59,840
Speaker 3: Fair feed? Go get around. It's good, good food and

1128
01:00:00,120 --> 01:00:05,360
Speaker 3: soups that make me feel like my nan cooked to them.

1129
01:00:04,400 --> 01:00:07,360
Speaker 2: Yeah, can I give you some quick cooking advice because

1130
01:00:07,400 --> 01:00:09,400
Speaker 2: I had the most exciting lunch today.

1131
01:00:09,520 --> 01:00:13,480
Speaker 1: Which part about we're finishing the podcast, are you not understanding.

1132
01:00:13,040 --> 01:00:15,439
Speaker 3: Everybody wants cooking advice from the vegan.

1133
01:00:16,840 --> 01:00:20,200
Speaker 1: And also yeah, we're just about we're just winding up

1134
01:00:20,200 --> 01:00:22,240
Speaker 1: and he's like, hey, can I telling you no? You

1135
01:00:22,400 --> 01:00:23,160
Speaker 1: fucking can't.

1136
01:00:23,320 --> 01:00:26,720
Speaker 3: I'm about to go and eat my slow cooked So.

1137
01:00:27,680 --> 01:00:32,200
Speaker 1: Hey, go and tell your story to Fritz. He's probably

1138
01:00:32,240 --> 01:00:34,840
Speaker 1: so stick of your stories. Yeah, to see everyone.

1139
01:00:35,400 --> 01:00:35,880
Speaker 2: Bye,