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Speaker 1: Okay, team, it's you project Patrick's here and so is Tiffing.

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Speaker 1: And that's bloody terrific because without them, oh okay, TIFFs

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Speaker 1: are already yelling at me all right, why don't you

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Speaker 1: yell at me straight off the top? Go on, tell

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Speaker 1: me off?

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Speaker 2: If you could just nudge yourself back off that microphone

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Speaker 2: apps all the typs. If everyone's heard a difference in

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Speaker 2: recent microphone.

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Speaker 1: No, no, we don't need everyone to get on the hype.

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Speaker 3: Crap on the mic listening to me, Well, it.

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Speaker 1: Sounds great in my ears on this end. You used

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Speaker 1: to remember, you used to yell at me six.

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Speaker 2: Years or so to get you to put a set

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Speaker 2: of head micro right.

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Speaker 1: And it's never been worse, has it. It's never been

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Speaker 1: worse since I put on the fucking headphones. So surely

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Speaker 1: you can be objective about that.

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Speaker 3: Make a suggestion, Tiff, Yes, please pray go turn turn

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Speaker 3: your headphone volume up.

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Speaker 1: I can already hear me very loudly.

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Speaker 3: I know that if you turn it up a little

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Speaker 3: bit more, just nudge it up a little bit more, because.

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Speaker 1: I just say, this is not the time is right

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Speaker 1: now in the mid I don't know if you have

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Speaker 1: any awareness but now it's not the time for this chat.

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Speaker 3: Well this might be interesting for people. So if you're running,

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Speaker 3: if you're or not.

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Speaker 1: Or not you're doing it, perhaps on this one. Okay,

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Speaker 1: I won't explain this. Yeah, let's let's not have this conversation. Hello, everyone,

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Speaker 1: welcome to the project. We hope you're good. It's Friday

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Speaker 1: morning here at typ Central. Patrick is up in blan Or,

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Speaker 1: I call it milan Lan and TIFFs over there at

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Speaker 1: her palace somewhere near the Beachwood. Thank you ourwood with

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Speaker 1: the cat and the dog. Who are the actual bosses

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Speaker 1: of the home. We start with the lady of the show, Patrick,

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Speaker 1: how are you hey? What's going on up there? I've

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Speaker 1: had a.

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Speaker 3: Pretty hectic day, but I'm feeling like I've achieved something

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Speaker 3: because you can teach an old.

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Speaker 1: Dog new tricks.

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Speaker 3: Go on, Well, I've got I'm house sitting with not

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Speaker 3: house sitting, I'm dog sitting a little ten year old

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Speaker 3: cross Schneutzer poodle and her name is Schnitzel. She's as

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Speaker 3: I said, she's ten and she's never used a dog door,

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Speaker 3: and I've taught her to use a dog door. So

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Speaker 3: I feeling like I've achieved.

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Speaker 1: Did you do that by demonstrating and crawling through yourself

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Speaker 1: going follow me, follow me. No, I just locked it

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Speaker 1: out of the house all night, and I'm kidding I didn't.

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Speaker 1: Did you strap some bacon to your ars and say

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Speaker 1: get behind me and then just crawl through the door.

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Speaker 4: No.

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Speaker 3: I just gently held the flap up a little bit.

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Speaker 3: Fritz went through first, and then she kind of nudged it,

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Speaker 3: and then I got used to it, and then she

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Speaker 3: got used to using it with her nose.

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Speaker 1: So many things. Well well done, well done, Tiff diff

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Speaker 1: was onto it. I was onto it. You just kept

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Speaker 1: plugging on. If we're glad, aren't we? We're so glad because,

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Speaker 1: oh god, if we could just say whatever we wanted

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Speaker 1: to say, eighty percent of the audience would be fucking

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Speaker 1: on the floor of twenty percent. Right that, I'm out,

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Speaker 1: I'm never listening again. Well that's good, mate. You could

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Speaker 1: become a You could get a unique kind of job

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Speaker 1: description as I trained dogs that are old and untrainable. Yep,

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Speaker 1: that's the one with the Banello method. TIF. How are

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Speaker 1: you very good? Thanks with your shock of with your

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Speaker 1: shock of red hair, looking like Pippy long Stocking over

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Speaker 1: there at typ Central.

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Speaker 2: That was one of my favorite movies when I was

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Speaker 2: a kid.

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Speaker 1: You kind of look like she would look when she's thirty.

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Speaker 1: It's going to say, forty, what am I thinking? You

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Speaker 1: look like a grown up Pippy Longstocking? Patrick? Do you

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Speaker 1: not know who that is? Oh? Idea? Oh god? What

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Speaker 1: kind of childhood did you have looking into Petrie dishes

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Speaker 1: and fucking magnifying bloody insects and bugs and shit. But

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Speaker 1: I do know, I do know what.

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Speaker 3: The Hindenburg was great, that's true.

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Speaker 1: Well Tiff didn't. All right, Tiff, you can now enlighten

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Speaker 1: Patrick as to the identity of Pippy long Stocking. I can't.

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Speaker 2: All I can remember is she wore those scrub and

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Speaker 2: brushes on her feet to clean house, and she had

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Speaker 2: a be horse and I feel like she put it

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Speaker 2: on a boat or something.

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Speaker 1: God, that was hardly your own mind. I feel like

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Speaker 1: if anyone on this show is going to know about

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Speaker 1: Pippi Longstocking, it's either going to be you or Patrick,

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Speaker 1: and it ain't him. All I remember she was a

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Speaker 1: central character in her childhood story. But that's about anyway.

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Speaker 1: We probably don't. There's do you know what? There's a

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Speaker 1: thousand listeners going you, dumb fox. I'll tell you exactly

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Speaker 1: who she is. Get me on the show. Get me

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Speaker 1: on the show. How's your week been, Patrick, It's been well.

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Speaker 3: I had a bit of a bug at the start

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Speaker 3: of the week, so I've got to say I was

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Speaker 3: kind of working, but I reckon I was running at

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Speaker 3: about forty five percent capacity.

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Speaker 1: So I'm feeling a lot better today.

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Speaker 3: And because my voice was really croaky and a lot

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Speaker 3: more deep and sexy, I.

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Speaker 1: Reckon everyone in Melbourne has got something at the moment.

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Speaker 1: It seems like everyone I talked who's got either bloody

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Speaker 1: influenza A or B or COVID or some other kind

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Speaker 1: of bloody virus something.

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Speaker 3: I got through all of winter without getting a single sniffle,

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Speaker 3: and now we hit into spring. Now I'm feeling a

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Speaker 3: lot better though, but it's been an interesting week. I

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Speaker 3: sent you a little video clip before. Maybe explain what

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Speaker 3: I sent to you because I was pretty excited about it.

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Speaker 1: Well, I wrote a book one hundred and twenty four

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Speaker 1: years ago called The Angry Ent, which was clearly a

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Speaker 1: book for children, and it went okay. Actually, it's funny

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Speaker 1: you sent that because I was thinking of writing another

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Speaker 1: kid's book. You know that who's that author? That actor?

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Speaker 1: Was it? I wasn't. What's that old dude that's got

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Speaker 1: that incredible voice? Anyway? And that the book is cooled

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Speaker 1: No in that ballpark though, in that kind of vintage

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Speaker 1: in that space. But the book is called go the

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Speaker 1: fuck to Sleep, and he reads it tif can you

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Speaker 1: find out for us? Anyway? It's tongue in cheek, but

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Speaker 1: it's funny. But so Patrick took the cover of my

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Speaker 1: book and made it into a little animated video. Well

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Speaker 1: L Jackson, Samuel L. Jackson, there's a lot of those

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Speaker 1: old dudes have got those incredible voices anyway. Yeah, so

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Speaker 1: why did you do that? How did you did you

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Speaker 1: find some AI that does that quickly? Or I did?

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Speaker 3: Yeah, well I've been I think typ people might remember

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Speaker 3: my friend Tour that I was doing a podcast with.

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Speaker 3: Okay smart Yes, released a couple of books, and so

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Speaker 3: she wants she's rewritten or she's rewritten the first book

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Speaker 3: of her fantasy series and now she's come up with

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Speaker 3: a second book. So I animated the covers and the

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Speaker 3: covers look amazing that if you could imagine a woman

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Speaker 3: in in a hood and flowing robe holding an archery

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Speaker 3: bow and one of them she actually picks up the

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Speaker 3: bow and fires the arrow. So it's all animated so

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Speaker 3: the book, so the letters are still in front of

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Speaker 3: the character. But it really looked quite stunning and and

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Speaker 3: so she asked me if I could animate it, and

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Speaker 3: I just use some great AI tools and just use

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Speaker 3: the prompt to say, you know, animate the character, get

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Speaker 3: it to pick up the bow and fire an arrow.

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Speaker 1: And it just looked stunning.

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Speaker 3: And that's I'll see if I can show you by

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Speaker 3: doing the angry ant very good.

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Speaker 1: Well. And one of the things that makes me a

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Speaker 1: little bit sad now is every time someone sends me

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Speaker 1: something that's a video or an amazing picture, he go

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Speaker 1: is this real? Or is this AI? And like everyone's

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Speaker 1: doing that now. Like I saw this video the other

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Speaker 1: day that was about cars and shit, and I sent

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Speaker 1: it to Vinn, my mate who's a revhead, and I'm like,

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Speaker 1: this is incredible, and he goes, AI, like is it

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Speaker 1: and he goes that couldn't happen. That's not real, And

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Speaker 1: like I just thought it was real. It didn't occur

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Speaker 1: to me for a moment, and usually it would occur

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Speaker 1: to me before him. But he's like, nah, that's not happening,

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Speaker 1: that's not real. I went dies because I was really excited,

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Speaker 1: and I went real disappointed. We're going to be It's

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Speaker 1: going to get worse too, Isn't it like you're not

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Speaker 1: going to anything that looks amazing, You're going to assume

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Speaker 1: that's not a real far or a real image or

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Speaker 1: a real video.

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Speaker 3: I was at a cafe last weekend in Trent from

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Speaker 3: catching up with a friend of mine, and I wasn't

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Speaker 3: deliberately listening to other people's conversations, but there was a

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Speaker 3: father with two kids, and the daughter might have been

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Speaker 3: aged twelve, and part of the conversation was Ai Slop.

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Speaker 1: And it was interesting that a twelve.

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Speaker 3: Year old recognized because I think the father pointed out

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Speaker 3: something and she said, no, that's Ai Slop. So it's

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Speaker 3: great to know that kids are questioning and not moving.

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Speaker 3: So it actually filled me with a bit of oh,

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Speaker 3: thank goodness, you know, a bit of a relief, because

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Speaker 3: it's one of those things that I worry about, you know,

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Speaker 3: particularly children who you know. It's bad enough that you

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Speaker 3: know those of our vintage are not you tif because

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Speaker 3: you're younger, but those of our vintage can.

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Speaker 1: Be misled by AI like cars stuff.

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Speaker 3: But I thought it was very heartening to hear a

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Speaker 3: young child recognize that that AI can be slop as well.

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Speaker 3: And it's interesting because it was one of the things

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Speaker 3: I wanted to chat about is how do you actually

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Speaker 3: discern what is AI crap? AI slop?

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Speaker 1: You know?

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Speaker 3: How do you find it? And it was interesting. There

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Speaker 3: was a guy from an ad agency was saying, at

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Speaker 3: its heart, it lacks a human heart.

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Speaker 1: You know, isn't you know?

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Speaker 3: When I think about you know, images that are out there,

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Speaker 3: there's lots of great fantasy stuff and you think, oh wow,

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Speaker 3: that's great spaceships and stuff like that. But the reality

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Speaker 3: of it is that when you look at something, there's

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Speaker 3: an essence of, say a book cover that's created by

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Speaker 3: a real person.

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Speaker 1: You know.

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Speaker 3: I guess I worry about the fact that AI is

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Speaker 3: getting better. And the big challenge for a lot of

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Speaker 3: publishers and a lot of producers of content is that

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Speaker 3: the disappointing thing is that a lot of material has

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Speaker 3: been trained on what we assume was copy protected copyright

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Speaker 3: protected material, so authors have had their books all scanned

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Speaker 3: and absorbed and new large language models. So the problem

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Speaker 3: is that a lot of these larger companies like Meta

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Speaker 3: and have just gone and arbitrarily copied and taken all

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Speaker 3: that information. And they're saying, well, we didn't copy it,

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Speaker 3: we just learned from it. But the reality of it is,

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Speaker 3: I can take one of the AI models that produces video,

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Speaker 3: I produces pictures and say, show me a picture of

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Speaker 3: a Schnauzer in a style of Van Goch, do something

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Speaker 3: like Starry Night.

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Speaker 1: It might have.

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Speaker 3: And you know if I said to it, I want

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Speaker 3: a backdrop of that's similar to Starry Night.

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Speaker 1: Well, the reality of it is.

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Speaker 3: It would do that, and I know it would do

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Speaker 3: it quite successfully, because I'm pretty sure I would have

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Speaker 3: done that. My first AI endeavors were generating Schnauzer pictures.

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Speaker 3: Because that doesn't surprise anybody who knows me. What was

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Speaker 3: the first AI image that you've jumped into and created, Harps.

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Speaker 1: Well, I don't know the answer to that. But pursuant

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Speaker 1: to this conversation, you're Honor and tiv I the other day, like,

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Speaker 1: I've got a gig coming up in a few weeks

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Speaker 1: on the Goldie and I just wanted to do something

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Speaker 1: like a little silly kind of how's my mic technique tip?

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Speaker 1: I'm just checking really really good.

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Speaker 2: Thank you having Thank.

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Speaker 1: You, Ernie, thank you. I'm very very trying vally baally

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Speaker 1: hard and anyway, Patrick, So I went, ah, here's a

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Speaker 1: photo of my kind of I guess from my chest up.

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Speaker 1: Here's an image of me. Use this image as the

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Speaker 1: basis for a picture of me in the surf, right,

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Speaker 1: because I just wanted to write over the top of that, Hey,

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Speaker 1: I'm coming to the goldie blah blah blah. Right. So

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Speaker 1: the one thing that had absolutely to work with that

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Speaker 1: was one hundred percent accurate was the photo of me

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Speaker 1: that I sent it, and it creates this image of

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Speaker 1: me surfing on a wave. But the head is not

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Speaker 1: my head, like it's a it's a different head. It

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Speaker 1: looks kind of like me kind of. But then you

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Speaker 1: lean in. Patrick's gone. He's clearly bored. But then yeah, Patrick,

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Speaker 1: just everyone. He just got up and left his chair

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Speaker 1: and walked out of the room. That's one of the

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Speaker 1: one of the things that people don't this is an

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Speaker 1: insight into podcasting. I don't know, you've had something legit

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Speaker 1: to do, and it's fine, but it's funny. Sometimes you're

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Speaker 1: interviewing one person and it's just one and one on

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Speaker 1: the thing. Have you had this tiff? Then all of

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Speaker 1: a sudden they get up and they walk out of

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Speaker 1: their chair because they've got to go get a drink

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Speaker 1: or turn the fan off or something. Then you're looking

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Speaker 1: at nothing and you're trying to stay as engaged as

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Speaker 1: you were. Like the only thing that's like Patrick's not

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Speaker 1: talking right now, which is a fucking rare event, but

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Speaker 1: he flipping the mod. So but anyway, I gave it

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Speaker 1: a picture of me to work with and it came

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Speaker 1: back and it was complete bullshit. I'm like, yeah, there's

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Speaker 1: a way to go. There is still a way to

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Speaker 1: go with that, Patrick, I go on, tiff go.

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Speaker 2: So I was going to say, there's some Facebook pages

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Speaker 2: that I've seen pop up in my feed where people

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Speaker 2: put real old photos and ask for photoshop for free.

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Speaker 2: Can you fix this sentimental where Arah and people do

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Speaker 2: amazing stuff, but sometimes people turn those they do really

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Speaker 2: funny stuff, but they turn them into little videos of

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Speaker 2: doing incredible and they are incredibly accurate. They look real,

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Speaker 2: they look like the actual person in the photo, and

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Speaker 2: they move real and you wouldn't know the difference.

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Speaker 1: How many people do you reckon and doing a version

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Speaker 1: of that, Patrick James Bonello, Like, here's a picture of

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Speaker 1: me from ten years ago. Make this fucking amazing. And

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Speaker 1: then they're going and putting that on some kind of

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Speaker 1: dating website, like where you know, they've just gone from

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Speaker 1: you know, a four out of ten to a two.

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Speaker 1: Not well, I don't you know what I mean. It's like,

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Speaker 1: it's like me, I put I'm sixty one, I look

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Speaker 1: like a desert boot. I'm cool with that, right, So

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Speaker 1: let's use me as an example. Right, Like, even when

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Speaker 1: I was young and healthy and good, I was a six. Right,

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Speaker 1: I was never a fucking nine. I'm okay with that.

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Speaker 1: But now we put up a photo of me and

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Speaker 1: I'm a fucking nine and a half. And then my

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Speaker 1: date whoever he is, turns up and you're like, fuck, bro,

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Speaker 1: you don't look at anything like it, And they just

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Speaker 1: want to, you know, they walk and they look across

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Speaker 1: the room, they see that that's you, because there's a

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Speaker 1: vague resemblance, but they're thinking, oh my god, how the

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Speaker 1: fuck do I get out of here without him seeing

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Speaker 1: me or her seeing me.

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Speaker 3: Look, I agree with you. I've never understood the idea

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Speaker 3: of trying to put the best shot ever that's been

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Speaker 3: photoshopped or aied up there, because you're just going to

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Speaker 3: disappoint the person you're meeting.

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Speaker 1: In fact, if you do the opposite, you know.

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Speaker 3: Lower the expense exactly exactly.

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Speaker 1: Yes, that's my that's my go under cell over to Liver, like,

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Speaker 1: put up a shot that's close to shit. If they

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Speaker 1: turn up, how fucking happy are they going to be? Firstly,

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Speaker 1: you're probably not going to get any hooks, that's okay,

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Speaker 1: but imagine if you do, they turn up and your

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Speaker 1: fucking Brad Pitt or whoever the equivalent of that is.

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Speaker 3: Next time I'm down your way, all you're going to

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Speaker 3: do is take a photo with Fritzzer. I've got to

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Speaker 3: tell you will get so many hits on your dating

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Speaker 3: profile with that little schnauzer face and my dog.

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Speaker 1: I think he just called me a schnauzer face. I

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Speaker 1: want to talk about one more tech related thing while

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Speaker 1: Tips here, because Tip's got to do a runner and

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Speaker 1: we've kind of spoken about similar things. So this morning

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Speaker 1: I was at the Old Cafe, which is often the

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Speaker 1: source of much of my material as it is today,

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Speaker 1: I was sitting next to Dino made of mine, and

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Speaker 1: he's a good lady wife, Rachel, who's lovely, and she

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Speaker 1: wanted to start talking or she started talking to me

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Speaker 1: about her sleep quality tip ram right and that, and

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Speaker 1: she started saying that it's she's wearing an app and

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Speaker 1: it tells her every day, you know, whether or not,

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Speaker 1: like you, she slept well or didn't sleep well. And

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Speaker 1: then said, I woke up this morning and I felt good,

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Speaker 1: like I felt like I'd slept pretty well. Said then

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Speaker 1: I looked at my whatever the fuck is watch what

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Speaker 1: do you call those things? Just watch app whatever, and

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Speaker 1: it said that I'd had basically a shit night's sleep

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Speaker 1: and expect to be grouchy today. That's what it said

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Speaker 1: to her, Like, if that's not setting you up for

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Speaker 1: a shit day? And then I said, now tell me honestly,

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Speaker 1: so you felt pretty good when you woke up, not

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Speaker 1: through the roof, but felt pretty good after that, She goes,

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Speaker 1: I felt terrible, She goes, I still feel terrible. I

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Speaker 1: wish I didn't look at it. I'm like, here's here's

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Speaker 1: my question. Is your life better or worse with that thing?

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Speaker 1: And you the attachment that you have to that, they expect,

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Speaker 1: the anxiety that's now around it now she starts to

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Speaker 1: get anxious heading up to bedtime about about potentially not

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Speaker 1: sleeping well. So the thing that she's worrying is turning

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Speaker 1: up the anxiety which is making her sleep worse. I'm like,

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Speaker 1: throw that fucking thing away. I go, throw it away

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Speaker 1: or put it in a draw. I go. You know,

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Speaker 1: it's better than technology biology. Listen to your fucking body,

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Speaker 1: because your body smart. You have a sleep, you wake up,

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Speaker 1: you go, I feel pretty good. Well, then maybe you

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Speaker 1: feel pretty good. I think that you know to both

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Speaker 1: you like, this is like you with your glucose monitor,

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Speaker 1: which was widely inaccurate. It was causing you fucking chaos

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Speaker 1: based on data that was absolutely untrue.

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Speaker 2: Yeah yeah, and I just had I just took my

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Speaker 2: watch off for a couple of weeks, and I've cleared

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Speaker 2: all of the data from being able to be seen

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Speaker 2: on my watch face, and I've blocked the app on

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Speaker 2: my phone so I can't use it like that because

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Speaker 2: I did the same thing. I would wake up.

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Speaker 1: And even knowing.

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Speaker 2: That the its ability to track the quality of your

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Speaker 2: sleep is probably the poorest function on there and wildly inaccurate,

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Speaker 2: we all look at it and it would still play

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Speaker 2: into how I felt for the day.

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Speaker 1: So I think this is one of the distinct potential

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Speaker 1: downsides of wearables and this kind of health focused I

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Speaker 1: put an asterisk next to that tech that's kind of

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Speaker 1: infiltrating every corner of humanity. Patrick, Look, you know, it's

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Speaker 1: a really valid point.

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Speaker 3: I was just thinking as you were saying that a

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Speaker 3: friend of mine got me on the TikTok and it

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Speaker 3: lasted a day because I was looking at the TikTok

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Speaker 3: videos and they're viral videos. They're made for you to

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Speaker 3: keep swiping. They go for a very short amount of time.

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Speaker 3: They grab your attention, then you want the next one

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Speaker 3: and the next one and the next one. And I

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Speaker 3: said to him, I can't keep this on my phone.

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Speaker 3: So after twenty four hours, I just deleted the app.

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Speaker 3: I've been out of social media for about eight years.

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Speaker 3: It's funny we manage social media for our clients and

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Speaker 3: yet I don't use social media at all anymore. But

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Speaker 3: I found that for me, and I think, if you're

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Speaker 3: probably the same, you have to go cold turkey, do

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Speaker 3: you Patrick?

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Speaker 1: Just sorry to interrupt, I would think I totally get

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Speaker 1: why you do that, and clearly it works. Do you

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Speaker 1: think that for your job, right, Not because you necessarily

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Speaker 1: want to go down some you know, IG rabbit hole

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Speaker 1: or Facebook rabbit hole, but do you think it would

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Speaker 1: be good for you to go all right, well, every

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Speaker 1: day between whenever it might be nine to nine thirty,

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Speaker 1: I'm just going to open up this shit, look at it,

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Speaker 1: just to get my head around, and then shut it down.

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Speaker 1: So I spend thirty minutes a day where I mean,

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Speaker 1: if you are working in the space of social media

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Speaker 1: and helping people with their social media, I would think

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Speaker 1: it would be valuable for you to have insight into

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Speaker 1: what is happening right now at the coal face. You know,

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Speaker 1: everything you've said is absolutely spot on, except for one point.

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Speaker 3: Employ somebody to do as social media for it.

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Speaker 1: Yeah. But at your company though, but the buck stops

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Speaker 1: with you a sure company. Yeah, right now.

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Speaker 3: I collaborate with my colleagues, so I see the work

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Speaker 3: that he's producing, and we talk about the work he's producing,

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Speaker 3: and he shows me things that are going viral or

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Speaker 3: whatever it happens to be. So I do lean over

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Speaker 3: and have a bit of a look at what you

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Speaker 3: know is trending. If he points something out to me,

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Speaker 3: so I guess I rely on him to do that,

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Speaker 3: and as you appreciate, you know, when you surround people

404
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Speaker 3: with certain skills, it's great to be able to then

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Speaker 3: entrust them to help you with that. So you know,

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Speaker 3: TIFF's producing the podcast, she's going to be able to

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Speaker 3: put it all together and will go to air at

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Speaker 3: the weekend, and the types of things that you know,

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Speaker 3: once you realize that if you surround yourself with people

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Speaker 3: who are smarter than you and more talented, that's where

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Speaker 3: you're going to succeed in life. No, I really mean that.

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Speaker 3: I mean I've got I'm very lucky. I've got a

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Speaker 3: great colleagues who do really good stuff. So whether it's

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Speaker 3: you know, building websites or doing social media, I can

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Speaker 3: do little bits. But it's a valid point. And but

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Speaker 3: I think you could kind of. I don't like to

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Speaker 3: micromanage either, so you know, let him do his job.

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Speaker 1: I think. So if he becomes an addict, fucking as

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Speaker 1: long as you're not.

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Speaker 3: He's been paid, though, he's been paid to.

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Speaker 1: Become an addict. Jeam, Well that's all right. Well there's

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Speaker 1: some kind of remuneration for him, so enjoy your addiction,

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00:21:17,480 --> 00:21:23,879
Speaker 1: and here's some cash just to offset that. Love Patrick, Wow, Hay, Tiv,

424
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Speaker 1: have you got to go?

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Speaker 3: I've got to go.

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Speaker 1: Where are you going? Where are you going?

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Speaker 2: I've got a zoom meeting to jump on.

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Speaker 3: You're on a zoom meeting right now.

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Speaker 1: It's a really fun one.

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Speaker 3: This one probably won't be fun.

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Speaker 1: But now responsibility, Well, if somebody that we know who's

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Speaker 1: wearing a baseball cap AND's got a snouther in the

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Speaker 1: middle of his legs, if that person you know didn't

434
00:21:47,240 --> 00:21:49,199
Speaker 1: move the time, you would have been able to have

435
00:21:49,240 --> 00:21:49,840
Speaker 1: the whole hour.

436
00:21:50,240 --> 00:21:53,040
Speaker 2: I know life was really good and then someone changed

437
00:21:53,080 --> 00:21:53,440
Speaker 2: the time.

438
00:21:53,600 --> 00:21:57,040
Speaker 1: I'll tell you what. Between Patrick and the bloody Wearables,

439
00:21:57,240 --> 00:22:00,639
Speaker 1: it's tough. Life's tough, and Ai I'm a butler.

440
00:22:00,760 --> 00:22:01,399
Speaker 2: I'm a butler.

441
00:22:01,560 --> 00:22:03,840
Speaker 1: Do what you can learn to fight and I keep fighting.

442
00:22:03,920 --> 00:22:06,840
Speaker 1: I sold you on. Keep you long stocking, by the way,

443
00:22:07,000 --> 00:22:09,919
Speaker 1: learn more about the woman that you look like or

444
00:22:09,920 --> 00:22:10,919
Speaker 1: the girl that you look like.

445
00:22:11,400 --> 00:22:17,000
Speaker 2: Have a good day, Tiv fall Well, guys, bye.

446
00:22:16,080 --> 00:22:18,320
Speaker 1: And she's gone. It's just you and me now. I

447
00:22:18,320 --> 00:22:21,080
Speaker 1: don't know if we can be trusted. I don't think

448
00:22:21,119 --> 00:22:23,879
Speaker 1: so either. Just quietly, I wouldn't trust it. Let's hit

449
00:22:23,960 --> 00:22:26,479
Speaker 1: up your list, bro, We've got half an hour, tell me,

450
00:22:26,720 --> 00:22:29,160
Speaker 1: teach me, enlighten me and the listeners.

451
00:22:29,480 --> 00:22:33,080
Speaker 3: Okay, let's keep on the track of AI a little bit.

452
00:22:33,080 --> 00:22:35,080
Speaker 3: I don't want to overdo the AI stuff. But there's

453
00:22:35,119 --> 00:22:39,000
Speaker 3: a group of scientists at Imperial College in London and

454
00:22:39,480 --> 00:22:43,120
Speaker 3: they have been working for a decade looking at how

455
00:22:43,440 --> 00:22:47,800
Speaker 3: bacteria evolve and how they can eventually evolve into dangerous

456
00:22:47,800 --> 00:22:51,040
Speaker 3: superbugs that are resistant to antibiotics, something that concerns all

457
00:22:51,080 --> 00:22:55,280
Speaker 3: of us. Well, recently they plugged in all of their

458
00:22:55,400 --> 00:22:59,320
Speaker 3: decade worth of figures into Google's new AI system called

459
00:22:59,440 --> 00:23:05,000
Speaker 3: cos Scientists, and in forty eight hours, it generated the

460
00:23:05,119 --> 00:23:10,080
Speaker 3: exact same hypothesis that they'd taken ten years to come

461
00:23:10,160 --> 00:23:10,480
Speaker 3: up with.

462
00:23:11,560 --> 00:23:16,320
Speaker 1: Fuck that is that is what would you if you

463
00:23:16,359 --> 00:23:19,000
Speaker 1: were that team, if you were the leader of that

464
00:23:19,119 --> 00:23:24,560
Speaker 1: team doing that research, what would your emotion be around that? Oh?

465
00:23:24,600 --> 00:23:26,879
Speaker 3: Look, you know what's interesting is the article that I

466
00:23:26,920 --> 00:23:29,639
Speaker 3: was reading was that they were actually quite elated. What

467
00:23:29,640 --> 00:23:31,840
Speaker 3: they're saying is it's like any tool, and there are

468
00:23:31,880 --> 00:23:34,360
Speaker 3: always going to be things that the AI can't do,

469
00:23:34,680 --> 00:23:38,680
Speaker 3: But that number crunching is it's great that they were

470
00:23:38,720 --> 00:23:41,720
Speaker 3: able to collaborate. And I guess look at that to

471
00:23:41,840 --> 00:23:46,040
Speaker 3: verify the hypothesis they come up to it generated four

472
00:23:46,080 --> 00:23:50,720
Speaker 3: additional entirely plausible hypotheses as well, so they had other

473
00:23:50,840 --> 00:23:53,840
Speaker 3: tracks that they're now going to go down and investigate further.

474
00:23:54,880 --> 00:23:57,440
Speaker 3: You know, it's great. It's like using a calculator. My

475
00:23:58,040 --> 00:24:01,880
Speaker 3: colleague who's I, as I was saying, is really talented.

476
00:24:01,920 --> 00:24:05,480
Speaker 3: He's very creative, visually creative, but he's terrible.

477
00:24:05,080 --> 00:24:07,719
Speaker 1: At math sometimes.

478
00:24:07,800 --> 00:24:10,000
Speaker 3: You know, well, I don't know why this happens every

479
00:24:10,040 --> 00:24:11,639
Speaker 3: now and again, but it might be adding up some

480
00:24:11,680 --> 00:24:15,879
Speaker 3: figures and my head because I like the challenge of

481
00:24:15,960 --> 00:24:18,479
Speaker 3: adding up you know, I'm not really good at maths,

482
00:24:18,840 --> 00:24:21,680
Speaker 3: but I like the challenge myself and say, oh yeah,

483
00:24:21,680 --> 00:24:23,879
Speaker 3: I'll add that that that and add it up in

484
00:24:23,880 --> 00:24:25,920
Speaker 3: my head and I come up with the right number.

485
00:24:25,920 --> 00:24:29,159
Speaker 3: Whereas he uses a calculator, like the challenge myself to

486
00:24:29,160 --> 00:24:31,640
Speaker 3: see if I can be quicker than him on his calculator,

487
00:24:31,760 --> 00:24:35,240
Speaker 3: which is kind So those sorts of things, but ultimately

488
00:24:36,160 --> 00:24:37,560
Speaker 3: it's a check and measure, isn't it.

489
00:24:39,040 --> 00:24:41,720
Speaker 1: Yeah, But I think yes, But I think with all

490
00:24:41,760 --> 00:24:44,359
Speaker 1: of these things, like truly, some people just are not

491
00:24:44,440 --> 00:24:47,440
Speaker 1: great at maths, and that's cool. They can draw brilliantly,

492
00:24:47,520 --> 00:24:49,239
Speaker 1: or they can run one hundred miles an hour, or

493
00:24:49,600 --> 00:24:51,679
Speaker 1: it's like lots of things that I'm terrible at, a

494
00:24:51,680 --> 00:24:55,040
Speaker 1: few things I'm good at. So I think, why on

495
00:24:55,080 --> 00:24:58,440
Speaker 1: earth wouldn't you use a calculator? You know, I'm like, well,

496
00:24:58,440 --> 00:25:00,879
Speaker 1: that's a resource you had. Why would don't you use AI?

497
00:25:01,040 --> 00:25:04,240
Speaker 1: Why wouldn't you use you know? And I understand it.

498
00:25:04,320 --> 00:25:07,040
Speaker 1: There are you know, there are going to be there's

499
00:25:07,040 --> 00:25:09,359
Speaker 1: going to be a human cost, whether or not that's

500
00:25:09,359 --> 00:25:12,119
Speaker 1: in jobs, or whether or not that's in mental health

501
00:25:12,119 --> 00:25:15,679
Speaker 1: for some people, or but I think with every breakthrough

502
00:25:15,720 --> 00:25:20,600
Speaker 1: in technology or even in science or you know, any

503
00:25:20,640 --> 00:25:23,960
Speaker 1: of the other kind of fields, there's always there's It

504
00:25:24,000 --> 00:25:27,280
Speaker 1: can never be all positive. There's going to be you know,

505
00:25:27,320 --> 00:25:29,800
Speaker 1: it's like when you you know this story better than me, probably,

506
00:25:29,800 --> 00:25:32,719
Speaker 1: but when they invented, you know, a diesel and petrol

507
00:25:32,800 --> 00:25:36,480
Speaker 1: driven cars, and then all the fucking horse and cart

508
00:25:36,520 --> 00:25:40,280
Speaker 1: businesses went out of and all the cart makers went

509
00:25:40,359 --> 00:25:43,399
Speaker 1: broke essentially because who wants a cart and one horse

510
00:25:43,440 --> 00:25:46,320
Speaker 1: when you can have a twenty five horse power car

511
00:25:47,080 --> 00:25:52,040
Speaker 1: and that doesn't shit everywhere, you know, So you know,

512
00:25:52,119 --> 00:25:54,520
Speaker 1: they said TV would never take off. They said the

513
00:25:54,560 --> 00:25:57,359
Speaker 1: Internet would never last like and because there was a

514
00:25:57,400 --> 00:26:02,360
Speaker 1: cost to that, like Encycloperetic Encyclopedia Britannica when the way

515
00:26:02,440 --> 00:26:04,720
Speaker 1: the Dodo bird when the Internet came out, because who

516
00:26:04,720 --> 00:26:08,320
Speaker 1: needs thirty seven gigantic books on their shelves when they

517
00:26:08,320 --> 00:26:11,520
Speaker 1: can just look on their computer. There's always a cost,

518
00:26:11,560 --> 00:26:12,240
Speaker 1: I guess, you know.

519
00:26:13,160 --> 00:26:16,159
Speaker 3: One of the quotes from the scientists involved was that

520
00:26:17,520 --> 00:26:22,560
Speaker 3: AI is a tool to accelerate, not replace scientists.

521
00:26:23,480 --> 00:26:26,000
Speaker 1: Oh yeah, that's beautiful. I love that.

522
00:26:26,600 --> 00:26:29,840
Speaker 3: Yeah, and so yeah, I think is it going to

523
00:26:29,880 --> 00:26:33,120
Speaker 3: replace jobs? No, but it's going to make jobs easier,

524
00:26:33,160 --> 00:26:35,200
Speaker 3: and it means that they can focus on the human

525
00:26:35,280 --> 00:26:39,680
Speaker 3: based skills that AI can't do, which you know, this

526
00:26:39,720 --> 00:26:44,000
Speaker 3: is really important work looking at how bacteria evolve and

527
00:26:44,040 --> 00:26:49,400
Speaker 3: potentially become these deadly bacteria that are resistant to antibiotics,

528
00:26:49,440 --> 00:26:50,960
Speaker 3: because that's a real worry for everybody.

529
00:26:51,840 --> 00:26:55,119
Speaker 1: The other day I had a pod. I had somebody booked,

530
00:26:55,119 --> 00:26:59,480
Speaker 1: somebody pulled out, and so literally within about not very long,

531
00:26:59,560 --> 00:27:01,320
Speaker 1: like twenty minutes, I need to figure out what I

532
00:27:01,359 --> 00:27:04,680
Speaker 1: was going to do to do a podcast for tomorrow,

533
00:27:05,600 --> 00:27:07,840
Speaker 1: And so I just went into chat GPT and I said,

534
00:27:07,920 --> 00:27:09,879
Speaker 1: you know, everything I've written and everything, you know, all

535
00:27:09,920 --> 00:27:12,040
Speaker 1: my podcasts, you know, all my shit. And I talked

536
00:27:12,080 --> 00:27:14,960
Speaker 1: to it like we're colleagues, not friends. But I go

537
00:27:15,320 --> 00:27:17,560
Speaker 1: I often will have a conversation with it in terms

538
00:27:17,640 --> 00:27:19,639
Speaker 1: of I've got an idea. What do you think about this?

539
00:27:19,760 --> 00:27:21,520
Speaker 1: It'll say blah blah blah. We'll go back and forth.

540
00:27:21,600 --> 00:27:23,880
Speaker 1: Right and I said, based on all of my shit,

541
00:27:23,960 --> 00:27:26,120
Speaker 1: I want you to come up with an idea for

542
00:27:26,240 --> 00:27:30,600
Speaker 1: a podcast topic that I haven't done before. And it

543
00:27:30,640 --> 00:27:33,800
Speaker 1: came up with ten, and about seven or eight were

544
00:27:34,080 --> 00:27:36,399
Speaker 1: and straight away, by the way, seven I are okay.

545
00:27:36,440 --> 00:27:38,240
Speaker 1: One or two were good, and one was I thought

546
00:27:38,359 --> 00:27:42,919
Speaker 1: really good, And it was the psychology of enough. I'm like,

547
00:27:43,320 --> 00:27:46,399
Speaker 1: that is really good. Like let's talk about what is

548
00:27:46,520 --> 00:27:48,520
Speaker 1: enough and when is it enough? And why isn't it

549
00:27:48,640 --> 00:27:51,480
Speaker 1: enough now? And when I go, I'll have enough when

550
00:27:51,520 --> 00:27:54,000
Speaker 1: I have ten, And then I get ten and I go, oh, no,

551
00:27:54,200 --> 00:27:57,679
Speaker 1: ten's not enough. It's actually twelve or no, it's like

552
00:27:57,760 --> 00:28:01,400
Speaker 1: what is this And not to go, ah, here's the solution, everybody,

553
00:28:01,400 --> 00:28:05,240
Speaker 1: but rather just to lean into this idea of enough,

554
00:28:05,720 --> 00:28:09,399
Speaker 1: you know, because we it's a very common human trait

555
00:28:09,440 --> 00:28:12,359
Speaker 1: to be dissatisfied. Like wherever we are, whatever we've got,

556
00:28:13,040 --> 00:28:16,120
Speaker 1: there's no contentment or there's very little. It's not enough.

557
00:28:16,160 --> 00:28:17,760
Speaker 1: We need more of this, we need more of that,

558
00:28:18,240 --> 00:28:20,280
Speaker 1: and need to be quicker and better and faster. And

559
00:28:20,400 --> 00:28:22,560
Speaker 1: you know it's like, oh what about the ops? What

560
00:28:22,560 --> 00:28:26,600
Speaker 1: about the pendulum swing of that? So yeah, I just

561
00:28:27,560 --> 00:28:29,320
Speaker 1: I think it was with Tiff. We just riffed for

562
00:28:29,480 --> 00:28:33,000
Speaker 1: like fifty minutes just on this idea, this thought bubble,

563
00:28:33,560 --> 00:28:36,119
Speaker 1: and it's like for things like that, where it goes, oh,

564
00:28:36,160 --> 00:28:38,400
Speaker 1: here's an idea. Now, it didn't give me a script,

565
00:28:38,440 --> 00:28:40,800
Speaker 1: it didn't give me you know, I just went I

566
00:28:40,840 --> 00:28:44,080
Speaker 1: actually like that, and then off that prompt that it

567
00:28:44,200 --> 00:28:48,000
Speaker 1: gave me. We spoke for fifty minutes on something that's

568
00:28:48,560 --> 00:28:52,440
Speaker 1: an interesting idea but also relevant for everybody because at

569
00:28:52,440 --> 00:28:56,120
Speaker 1: some stage, like if whatever you have, wherever you are,

570
00:28:56,160 --> 00:28:59,280
Speaker 1: whatever you're doing, if it's never enough, then you're never

571
00:28:59,320 --> 00:28:59,960
Speaker 1: going to be content.

572
00:29:00,600 --> 00:29:03,080
Speaker 3: Yeah, And it's funny you say that because I could

573
00:29:03,160 --> 00:29:05,480
Speaker 3: relate that to a whole so many different things in life,

574
00:29:05,480 --> 00:29:08,880
Speaker 3: whether it's that extra piece of a block of chocolate.

575
00:29:08,960 --> 00:29:10,520
Speaker 3: You know, I think I'm just going to have one row,

576
00:29:10,840 --> 00:29:12,480
Speaker 3: and you have that one row and then you go

577
00:29:12,520 --> 00:29:16,520
Speaker 3: to the next row or the extra pringle or you know,

578
00:29:17,000 --> 00:29:19,440
Speaker 3: or going to the gym and pushing out an extra set.

579
00:29:19,720 --> 00:29:23,200
Speaker 1: Yeah, yeah, it's so exactly. It's just like a good

580
00:29:23,280 --> 00:29:28,880
Speaker 1: you could you know, in relationships, in your spiritual journey,

581
00:29:28,920 --> 00:29:32,680
Speaker 1: if you've got one in your you know, your property portfolio.

582
00:29:33,360 --> 00:29:37,520
Speaker 1: It's like for me, I weigh up. Like my business

583
00:29:37,560 --> 00:29:40,520
Speaker 1: model now is very simple. Go to companies, talk to

584
00:29:40,560 --> 00:29:43,760
Speaker 1: the people, come home, right, that's it. Maybe you talk

585
00:29:43,800 --> 00:29:46,680
Speaker 1: for an how maybe you talk for day record podcasts,

586
00:29:47,160 --> 00:29:51,000
Speaker 1: have sponsors, work with Novo, work with Patrick everybloody Friday.

587
00:29:51,080 --> 00:29:54,560
Speaker 1: Whatever it is right, it's not complicated, and I know

588
00:29:54,680 --> 00:29:58,720
Speaker 1: I could do bigger and better and more. But where

589
00:29:58,760 --> 00:30:00,640
Speaker 1: I'm at now, which is can compared to when I

590
00:30:00,680 --> 00:30:05,040
Speaker 1: had heaps of employees and heaps of standalone businesses. For

591
00:30:05,200 --> 00:30:09,320
Speaker 1: me right now, this is the best model because on

592
00:30:09,360 --> 00:30:14,640
Speaker 1: an emotional and social and mental and commercial level, it's

593
00:30:14,760 --> 00:30:16,760
Speaker 1: just for me. Not wouldn't be for a lot of

594
00:30:16,760 --> 00:30:18,760
Speaker 1: other people, but for me, it's the right mix. And

595
00:30:18,800 --> 00:30:21,080
Speaker 1: I go, yeah, this is enough, this is good, and

596
00:30:21,120 --> 00:30:23,640
Speaker 1: I think it's good to reflect on that, you know,

597
00:30:24,280 --> 00:30:27,360
Speaker 1: and get and I'm getting a little bit deep, but

598
00:30:27,400 --> 00:30:29,360
Speaker 1: I'll shut up after this. But I think like in

599
00:30:29,480 --> 00:30:33,560
Speaker 1: the continuity of life, like we're always in that river

600
00:30:33,600 --> 00:30:36,560
Speaker 1: that's flowing, and your life has got momentum, and your

601
00:30:36,600 --> 00:30:38,520
Speaker 1: life has got energy, and there's all these rules and

602
00:30:38,600 --> 00:30:42,120
Speaker 1: rituals and things that we do on autopilot sometimes to

603
00:30:42,160 --> 00:30:44,560
Speaker 1: swim to the side of the metaphoric river, get out

604
00:30:44,560 --> 00:30:47,720
Speaker 1: of the river, get up on the bankment, or I'll

605
00:30:47,760 --> 00:30:49,400
Speaker 1: sit on a rock and just sit on the rock

606
00:30:49,440 --> 00:30:51,800
Speaker 1: and look at try to get some perspective on the

607
00:30:51,880 --> 00:30:54,320
Speaker 1: river that's flowing by, and thinking, Am I in the

608
00:30:54,400 --> 00:30:57,280
Speaker 1: right river? Am I swimming in the right direction? Am I?

609
00:30:57,720 --> 00:31:00,200
Speaker 1: And you might come back with, yes, I'm exactly where

610
00:31:00,200 --> 00:31:02,400
Speaker 1: I should be, doing exactly what I should be doing.

611
00:31:03,040 --> 00:31:05,520
Speaker 1: Or you might go, maybe I need to swim in

612
00:31:05,520 --> 00:31:09,000
Speaker 1: a slightly different direction, or maybe I'm swimming against the

613
00:31:09,080 --> 00:31:10,200
Speaker 1: tide and it's killing me.

614
00:31:12,040 --> 00:31:16,400
Speaker 3: Yeah. Sitting outside of yourself and reflecting on how your

615
00:31:16,400 --> 00:31:18,840
Speaker 3: life is proceeding is a difficult thing for a lot

616
00:31:18,840 --> 00:31:20,920
Speaker 3: of us, where you get swept up in the moment

617
00:31:21,440 --> 00:31:22,200
Speaker 3: all the time.

618
00:31:22,640 --> 00:31:23,800
Speaker 1: And you're absolutely right.

619
00:31:23,840 --> 00:31:25,800
Speaker 3: I remember you saying to me many many years ago.

620
00:31:25,840 --> 00:31:29,080
Speaker 3: I'm talking more than twenty years ago. How that every

621
00:31:29,680 --> 00:31:32,600
Speaker 3: New Year you make up a little list for yourself.

622
00:31:32,800 --> 00:31:35,720
Speaker 1: Yeah, between Christmas and New Year, I spend those six

623
00:31:35,800 --> 00:31:38,120
Speaker 1: days or whatever it is planning the next year and

624
00:31:38,600 --> 00:31:42,520
Speaker 1: or just thinking about like it's it's not as strategic

625
00:31:42,520 --> 00:31:46,479
Speaker 1: because it once was. It used to be quite commercially driven,

626
00:31:46,760 --> 00:31:49,960
Speaker 1: and these days it's more contemplation and trying to get

627
00:31:50,840 --> 00:31:54,200
Speaker 1: you know that that river metaphor, that is really about awareness,

628
00:31:55,160 --> 00:31:59,280
Speaker 1: you know, self awareness and being aware of you that

629
00:31:59,360 --> 00:32:00,720
Speaker 1: you have a life. If you're in the middle of

630
00:32:00,720 --> 00:32:02,560
Speaker 1: a life, but it is not you and you are

631
00:32:02,600 --> 00:32:05,200
Speaker 1: not in you know, you're in a story, but you're

632
00:32:05,240 --> 00:32:08,600
Speaker 1: not the story. You're part of the story, and you're

633
00:32:08,640 --> 00:32:12,120
Speaker 1: writing the story. And you can change the direction of

634
00:32:12,160 --> 00:32:15,120
Speaker 1: the story anytime you want, because you're the fucking author.

635
00:32:15,680 --> 00:32:17,560
Speaker 1: You don't have to be in that river going in

636
00:32:17,600 --> 00:32:23,040
Speaker 1: that direction, you know. But this kind of intentional thinking

637
00:32:23,240 --> 00:32:26,880
Speaker 1: and this kind of mental and emotional distance we can

638
00:32:26,920 --> 00:32:30,000
Speaker 1: get from our life. It is as you suggest, it's

639
00:32:30,040 --> 00:32:33,840
Speaker 1: a tricky thing to do because I work a lot

640
00:32:33,840 --> 00:32:36,480
Speaker 1: with small business people. One of the biggest challenges for

641
00:32:36,520 --> 00:32:40,080
Speaker 1: people in business, small business particularly is to work on

642
00:32:40,160 --> 00:32:42,600
Speaker 1: the business, not in the business. Is to step back

643
00:32:42,800 --> 00:32:45,360
Speaker 1: because generally, if you're working in a small business, you

644
00:32:45,400 --> 00:32:48,160
Speaker 1: take on multiple roles. You know, I hate bookkeeping, and

645
00:32:48,200 --> 00:32:50,200
Speaker 1: I have a bookkeeper and I have an accountant, but

646
00:32:50,280 --> 00:32:51,760
Speaker 1: I still do some of the bookkeeping.

647
00:32:51,800 --> 00:32:54,160
Speaker 3: I do the invoicing, but I put it off because

648
00:32:54,160 --> 00:32:57,280
Speaker 3: I hate it, and it's the world because I need

649
00:32:57,280 --> 00:33:00,640
Speaker 3: to invoice otherwise I can't make any money and pay

650
00:33:00,680 --> 00:33:02,960
Speaker 3: my staff on my bills. And yet it's one of

651
00:33:03,000 --> 00:33:06,080
Speaker 3: the things I dread doing because I like being creative

652
00:33:06,480 --> 00:33:08,680
Speaker 3: and it was interesting this week. I can't go into

653
00:33:08,720 --> 00:33:11,840
Speaker 3: the details, but we run a Google Ads campaign for

654
00:33:11,880 --> 00:33:15,080
Speaker 3: a client who's a really good, really great client. They

655
00:33:15,120 --> 00:33:18,080
Speaker 3: listen to what we say. But the guy who owns

656
00:33:18,120 --> 00:33:22,040
Speaker 3: the business has a mentor and coach, and the spend

657
00:33:22,160 --> 00:33:25,080
Speaker 3: that they were currently making on Google Ads, the mentor said, look,

658
00:33:25,080 --> 00:33:28,000
Speaker 3: you're not spending enough. You need to increase the spend.

659
00:33:28,320 --> 00:33:31,480
Speaker 3: And it was increased to a point that I felt

660
00:33:31,600 --> 00:33:35,400
Speaker 3: uncomfortable because the more you're spending, the more management. And

661
00:33:35,440 --> 00:33:37,480
Speaker 3: it sounds like a silly thing to say, but I

662
00:33:37,600 --> 00:33:39,760
Speaker 3: called them the other day and said, look, let's not

663
00:33:39,880 --> 00:33:41,680
Speaker 3: spend this much. I know it's going to make me

664
00:33:41,800 --> 00:33:45,480
Speaker 3: more money, but I think him sit back and ask

665
00:33:45,720 --> 00:33:47,280
Speaker 3: why are you spending this money?

666
00:33:47,520 --> 00:33:49,680
Speaker 1: What do you want to achieve from.

667
00:33:49,320 --> 00:33:52,480
Speaker 3: The campaign, and let's track it to see if you're

668
00:33:52,480 --> 00:33:55,720
Speaker 3: getting the type of results that you want, not arbitrarily

669
00:33:56,200 --> 00:33:59,000
Speaker 3: tripling the amount of money. We're talking a lot of money,

670
00:33:59,080 --> 00:34:03,040
Speaker 3: you know, for a relatively small business. And I think

671
00:34:03,080 --> 00:34:07,280
Speaker 3: sometimes it's just easy to make those knee jerk reactions

672
00:34:07,400 --> 00:34:09,600
Speaker 3: and not to step back from it, not to step

673
00:34:09,640 --> 00:34:11,319
Speaker 3: back and say, well, where do I want to go

674
00:34:11,360 --> 00:34:13,560
Speaker 3: with this? You know, As you know, I had a

675
00:34:13,560 --> 00:34:16,760
Speaker 3: business partner in Melbourne when I just started getting into

676
00:34:17,040 --> 00:34:21,280
Speaker 3: graphic design web design, and you know, we work together

677
00:34:21,320 --> 00:34:24,680
Speaker 3: for about three years, and then I realized that he

678
00:34:24,760 --> 00:34:28,240
Speaker 3: wanted to build a multimillion dollar company with hundreds of staff,

679
00:34:28,600 --> 00:34:31,879
Speaker 3: and I thought, I don't want to do that. I'm

680
00:34:31,920 --> 00:34:34,120
Speaker 3: not interested. I don't want to be the CEO of

681
00:34:34,160 --> 00:34:38,560
Speaker 3: some big, enormous organization like what I'm doing. I like

682
00:34:38,640 --> 00:34:41,080
Speaker 3: the relationships that I make with other people who are

683
00:34:41,120 --> 00:34:44,000
Speaker 3: in business. And you know, one of my clients, I've

684
00:34:44,080 --> 00:34:46,560
Speaker 3: now had the same client for more than twenty years

685
00:34:46,800 --> 00:34:50,000
Speaker 3: and it's had three owners in that time, and it's

686
00:34:50,040 --> 00:34:52,080
Speaker 3: about to be handed over from a father to a

687
00:34:52,120 --> 00:34:55,479
Speaker 3: son making number four. So to me, that's a sense

688
00:34:55,520 --> 00:34:58,920
Speaker 3: of achievement because we've a had the continuity. The business

689
00:34:58,920 --> 00:35:01,200
Speaker 3: has been robust enough to continue. I mean, that's because

690
00:35:01,239 --> 00:35:03,600
Speaker 3: of the hard work of other people, but we've contributed

691
00:35:03,600 --> 00:35:05,640
Speaker 3: a little bit to that. So you know, in some

692
00:35:05,680 --> 00:35:08,799
Speaker 3: ways I find that exciting from my perspective. So it's

693
00:35:08,840 --> 00:35:11,839
Speaker 3: easy just to get caught up and not to realize, well,

694
00:35:11,920 --> 00:35:13,239
Speaker 3: what is actually better for me?

695
00:35:14,840 --> 00:35:19,800
Speaker 1: Well, I think also, you know, that's about your values,

696
00:35:19,880 --> 00:35:23,919
Speaker 1: right I If somebody said to me, oh, we want

697
00:35:23,920 --> 00:35:25,359
Speaker 1: you to come and talk for the day to our

698
00:35:25,400 --> 00:35:27,480
Speaker 1: team and we'll pay you thirty grand, I would say,

699
00:35:27,520 --> 00:35:32,200
Speaker 1: you won't. I go, that's ridiculous, you know, I would go,

700
00:35:32,280 --> 00:35:34,919
Speaker 1: I won't take thirty grand. I would take yeah, sure,

701
00:35:35,320 --> 00:35:38,280
Speaker 1: but I don't charge thirty grand, so you're not paying

702
00:35:38,320 --> 00:35:40,160
Speaker 1: me that. I'll do it for whatever it is, right,

703
00:35:40,239 --> 00:35:42,120
Speaker 1: And I know a lot of people would go, you're

704
00:35:42,120 --> 00:35:45,799
Speaker 1: an idiot, But you know, I think you know, I've

705
00:35:45,800 --> 00:35:49,600
Speaker 1: turned down more than a dozen campaigns which were somewhere

706
00:35:49,640 --> 00:35:52,319
Speaker 1: between not bad dough and really good dough on this

707
00:35:52,719 --> 00:35:57,400
Speaker 1: on this show one very recently because I just can't

708
00:35:58,200 --> 00:36:00,600
Speaker 1: it doesn't align and I'm not trying to sound like

709
00:36:00,640 --> 00:36:02,640
Speaker 1: goodie two shoes, and I get lots of things wrong

710
00:36:02,680 --> 00:36:05,040
Speaker 1: and sometimes I'm a prick yep, all of that right,

711
00:36:05,120 --> 00:36:08,560
Speaker 1: But I can't you know one that I can talk

712
00:36:08,560 --> 00:36:10,480
Speaker 1: about because I've mentioned it before, but as you know,

713
00:36:10,600 --> 00:36:14,360
Speaker 1: selling booze, which I'm not against booze. My parents drink booze,

714
00:36:14,360 --> 00:36:17,720
Speaker 1: my most of my friends drink booze. I'm just personally, personally,

715
00:36:17,760 --> 00:36:21,960
Speaker 1: I don't. That's because that's my choice. Secondly, I work

716
00:36:22,000 --> 00:36:27,920
Speaker 1: with alcoholics and addicts, people who really struggle with addiction issues,

717
00:36:29,040 --> 00:36:31,280
Speaker 1: a lot of them. I've got friends that are also

718
00:36:31,400 --> 00:36:36,040
Speaker 1: alcoholics who struggle. And then I'm not going to sell it.

719
00:36:36,440 --> 00:36:38,640
Speaker 1: I'm not going to go, hey, everybody, you should get

720
00:36:38,680 --> 00:36:41,319
Speaker 1: your booze here or And it's cool that I think

721
00:36:41,440 --> 00:36:43,720
Speaker 1: other people should do that because it's kind of aligned

722
00:36:43,800 --> 00:36:46,600
Speaker 1: with everything and it's all good, but but I just

723
00:36:46,719 --> 00:36:50,600
Speaker 1: can't do it. And I think that when you know,

724
00:36:51,320 --> 00:36:54,359
Speaker 1: when you figure out actually what does matter to you?

725
00:36:55,920 --> 00:36:57,719
Speaker 1: And look, if you said to me in a different life,

726
00:36:57,800 --> 00:36:59,880
Speaker 1: if I had like five kids and I was struggling

727
00:37:00,040 --> 00:37:02,680
Speaker 1: and a wife and we were I don't know, maybe

728
00:37:02,680 --> 00:37:05,719
Speaker 1: I would maybe I'd be maybe my morals would have

729
00:37:05,760 --> 00:37:08,920
Speaker 1: to take a backseat to post school fees or something.

730
00:37:08,960 --> 00:37:12,279
Speaker 1: I don't know, but where I am right now, I'm

731
00:37:12,320 --> 00:37:14,040
Speaker 1: just going no, I can't do that and I won't

732
00:37:14,080 --> 00:37:16,560
Speaker 1: do that. And I think if you did something where

733
00:37:16,640 --> 00:37:19,200
Speaker 1: you were only doing it for the dough, well firstly

734
00:37:19,239 --> 00:37:21,480
Speaker 1: you wouldn't do it. But if you did it only

735
00:37:21,520 --> 00:37:24,760
Speaker 1: for the dough, even to the potential detriment of your clients,

736
00:37:25,080 --> 00:37:26,920
Speaker 1: you hate yourself. Yeah.

737
00:37:27,440 --> 00:37:30,680
Speaker 3: You know, what's something that's creeping into corporate culture now

738
00:37:30,920 --> 00:37:34,360
Speaker 3: is corporate conscience, which is interesting and it seems to

739
00:37:34,360 --> 00:37:38,680
Speaker 3: be almost a contrast, you know, directly in contrast to

740
00:37:38,719 --> 00:37:41,440
Speaker 3: what corporations are supposed to do make more money. But

741
00:37:41,600 --> 00:37:44,759
Speaker 3: I'm seeing that coming in. I signed contracts at the

742
00:37:44,760 --> 00:37:47,680
Speaker 3: start of this year with the big wind farm company

743
00:37:48,280 --> 00:37:51,080
Speaker 3: building wind farms around Australia. We were doing the community stuff,

744
00:37:51,120 --> 00:37:54,120
Speaker 3: community marketing, and you know, when they move into an

745
00:37:54,120 --> 00:37:57,200
Speaker 3: area and generally it's a rural area, and they build

746
00:37:57,239 --> 00:37:59,479
Speaker 3: a website they inform people about what's going to happen

747
00:37:59,480 --> 00:38:02,080
Speaker 3: with the wind farm. But they're a Chinese company and

748
00:38:02,120 --> 00:38:05,879
Speaker 3: the contract I signed was twenty four pages which included

749
00:38:06,160 --> 00:38:09,759
Speaker 3: a slavery clause. So what that means is they look

750
00:38:09,760 --> 00:38:13,160
Speaker 3: at the supply chain and what your personal supply chain is,

751
00:38:13,160 --> 00:38:15,839
Speaker 3: and they say, we committed to all of our suppliers

752
00:38:16,280 --> 00:38:18,759
Speaker 3: making sure they know where their goods are coming from.

753
00:38:18,840 --> 00:38:21,239
Speaker 3: That didn't affect us so much because we only work

754
00:38:21,280 --> 00:38:24,280
Speaker 3: in Australia. We don't use offshore, so it wasn't something

755
00:38:24,320 --> 00:38:27,520
Speaker 3: that was an impact for us specifically. But it's interesting

756
00:38:27,560 --> 00:38:31,319
Speaker 3: that companies in our thinking that way those terms. I

757
00:38:31,400 --> 00:38:33,560
Speaker 3: know I've talked about this before and it's really not tech,

758
00:38:33,640 --> 00:38:35,279
Speaker 3: but it doesn't matter.

759
00:38:35,480 --> 00:38:36,920
Speaker 1: I had this as a good chat. We'll get to

760
00:38:36,920 --> 00:38:38,640
Speaker 1: the tech next week. Go on. Well.

761
00:38:38,680 --> 00:38:42,440
Speaker 3: IBM is a well known company that has its fingers

762
00:38:42,440 --> 00:38:44,399
Speaker 3: in lots of pies. It's been around for many, many

763
00:38:44,520 --> 00:38:49,040
Speaker 3: years and they provide a very high end technical infrastructure

764
00:38:49,320 --> 00:38:51,600
Speaker 3: for a big sporting event that I was involved with.

765
00:38:51,760 --> 00:38:54,719
Speaker 3: And they pulled out of that sporting event a few

766
00:38:54,800 --> 00:38:58,960
Speaker 3: years ago, and there was no real chatter about why

767
00:38:59,040 --> 00:39:01,840
Speaker 3: they pulled out of particular event, but I spoke to

768
00:39:01,880 --> 00:39:04,080
Speaker 3: somebody who I got on to know really well with

769
00:39:04,400 --> 00:39:07,480
Speaker 3: and they said it's because the company was concerned that

770
00:39:07,560 --> 00:39:10,560
Speaker 3: the event had too much of a reliance on gambling

771
00:39:10,640 --> 00:39:15,560
Speaker 3: advertising and contrary to the company's standards that they set

772
00:39:15,600 --> 00:39:19,439
Speaker 3: for themselves. So they walked away saying that, and look,

773
00:39:19,480 --> 00:39:21,560
Speaker 3: this is a secondhand story, but it was someone who

774
00:39:21,600 --> 00:39:25,799
Speaker 3: was quite involved in the sport in the organization, and

775
00:39:25,840 --> 00:39:28,320
Speaker 3: they told me that that's what the reason was that

776
00:39:28,640 --> 00:39:32,840
Speaker 3: IBM walked away. And I thought, wow, that's my estimation.

777
00:39:33,200 --> 00:39:37,320
Speaker 3: And IBM jumped a lot after hearing that.

778
00:39:37,320 --> 00:39:41,400
Speaker 1: That's good. I mean, firstly, I believe you. Secondly, I

779
00:39:41,400 --> 00:39:44,840
Speaker 1: don't hold as much faith for corporations and organizations that

780
00:39:44,880 --> 00:39:48,680
Speaker 1: are driven by profit and shareholders to be that philanthropic

781
00:39:48,760 --> 00:39:53,239
Speaker 1: and moral and ethical as you do. I had a

782
00:39:53,320 --> 00:39:55,960
Speaker 1: lady on here this is very relevant to this conversation,

783
00:39:56,440 --> 00:40:02,080
Speaker 1: and her job was to hook or baseticularly connect companies

784
00:40:03,040 --> 00:40:07,040
Speaker 1: with genuine charities, like charities that were real deal, not bullshitty.

785
00:40:07,080 --> 00:40:09,759
Speaker 1: You know, ninety six cents in the dollar goes to

786
00:40:10,600 --> 00:40:15,120
Speaker 1: you know whatever, and four cents goes to the kids

787
00:40:15,200 --> 00:40:18,399
Speaker 1: or whatever it is, but companies that have been very

788
00:40:18,719 --> 00:40:25,520
Speaker 1: thoroughly screened and genuine legit charities and organization not for

789
00:40:25,520 --> 00:40:30,160
Speaker 1: profit organizations that need sport. So she companies would employ

790
00:40:30,239 --> 00:40:32,960
Speaker 1: her because she was an expert in that space to

791
00:40:33,120 --> 00:40:36,799
Speaker 1: find a charity or a not for profit that they

792
00:40:36,840 --> 00:40:40,920
Speaker 1: could partner with as an organization, which sounds lovely and

793
00:40:41,000 --> 00:40:44,879
Speaker 1: it is, and they do partner with them, and they

794
00:40:44,920 --> 00:40:48,360
Speaker 1: do give the money, and so it's all happening. And

795
00:40:48,400 --> 00:40:51,640
Speaker 1: then I said to her on this very show, I said,

796
00:40:51,800 --> 00:40:55,000
Speaker 1: how many of those companies would do that in your

797
00:40:55,120 --> 00:40:59,680
Speaker 1: estimation if nobody knew that it was happening, like if

798
00:40:59,760 --> 00:41:03,279
Speaker 1: they couldn't talk about it or write about their relationship

799
00:41:03,320 --> 00:41:05,920
Speaker 1: with this charity or use it as any kind of

800
00:41:06,480 --> 00:41:09,640
Speaker 1: pr leverage. She said zero. She said none of them

801
00:41:09,640 --> 00:41:13,799
Speaker 1: would do it. And I went, wow, wow. And I'm

802
00:41:13,840 --> 00:41:16,160
Speaker 1: sure there are companies, like you said, like IBM and

803
00:41:16,200 --> 00:41:19,759
Speaker 1: if that's them, and congratulations, that's amazing, and there are

804
00:41:20,480 --> 00:41:24,719
Speaker 1: there are ethically driven businesses now we know. But yeah,

805
00:41:24,800 --> 00:41:30,239
Speaker 1: I just that I think I think we overestimate the

806
00:41:30,280 --> 00:41:36,040
Speaker 1: morality or we can of organizations that really and understandably

807
00:41:36,239 --> 00:41:39,480
Speaker 1: like they're in existence to make money. They're not in

808
00:41:39,560 --> 00:41:44,360
Speaker 1: existence to save the world or do good. Like have

809
00:41:44,480 --> 00:41:48,440
Speaker 1: you heard of the pharmaceutical industry. It's like they do

810
00:41:48,560 --> 00:41:51,799
Speaker 1: some good, they also do some fucking terrible stuff, right,

811
00:41:51,880 --> 00:41:55,279
Speaker 1: So yeah, I don't know where we're going with that,

812
00:41:55,360 --> 00:41:57,840
Speaker 1: but I just think that if you can you on

813
00:41:57,920 --> 00:42:00,480
Speaker 1: a personal level, hopefully me on a personal If you

814
00:42:00,560 --> 00:42:03,359
Speaker 1: own a small company business, I do too. You go

815
00:42:03,400 --> 00:42:06,480
Speaker 1: all right, well, what can I control? I can control me.

816
00:42:07,080 --> 00:42:10,000
Speaker 1: I'm not going to take money to sell booze. That's okay.

817
00:42:10,080 --> 00:42:13,040
Speaker 1: The next podcast can and also that is also okay.

818
00:42:13,360 --> 00:42:16,239
Speaker 1: There's no judgment, it's just like trying to I think

819
00:42:16,280 --> 00:42:20,120
Speaker 1: if you know truly what you stand for, then it

820
00:42:20,120 --> 00:42:23,000
Speaker 1: doesn't make all the decisions and actions easy, but it

821
00:42:23,040 --> 00:42:25,840
Speaker 1: makes it much clearer, you know, because you're like, oh no,

822
00:42:25,960 --> 00:42:28,880
Speaker 1: that doesn't fit in my scope. So I wish it

823
00:42:28,920 --> 00:42:31,280
Speaker 1: did because I'd love the dough, but I can't, so thanks.

824
00:42:31,880 --> 00:42:32,080
Speaker 1: You know.

825
00:42:32,600 --> 00:42:35,280
Speaker 3: I like the idea of working on a micro level,

826
00:42:35,440 --> 00:42:40,160
Speaker 3: so whether it's giving or contributing, I now only really

827
00:42:40,200 --> 00:42:44,319
Speaker 3: contribute to small charities and organizations in proximity to where

828
00:42:44,360 --> 00:42:47,400
Speaker 3: I live, so you know, I help our neighborhood house.

829
00:42:47,840 --> 00:42:50,399
Speaker 3: I do work for a few of our community organizations,

830
00:42:50,440 --> 00:42:53,359
Speaker 3: and that's the fulfilling thing for me because I can

831
00:42:53,360 --> 00:42:56,680
Speaker 3: see real value because it affects my community directly.

832
00:42:57,040 --> 00:42:59,600
Speaker 1: And that's where I've kind of changed my mindset.

833
00:42:59,640 --> 00:43:02,760
Speaker 3: But that was because I've been living here over sixteen

834
00:43:02,840 --> 00:43:05,520
Speaker 3: years now in a rural town that's a population of

835
00:43:05,560 --> 00:43:08,719
Speaker 3: just over three thousand people, So that gets done in

836
00:43:08,760 --> 00:43:10,960
Speaker 3: the town is obvious. You know, we had a new

837
00:43:11,000 --> 00:43:14,840
Speaker 3: library open recently, and you've never seen so many people

838
00:43:14,920 --> 00:43:17,880
Speaker 3: flock to a library and be so excited. But wow,

839
00:43:18,640 --> 00:43:22,279
Speaker 3: it's awesome, it's amazing. But what's really heartening is that

840
00:43:22,360 --> 00:43:25,720
Speaker 3: you see lots of people engaging and young and old.

841
00:43:25,800 --> 00:43:27,680
Speaker 1: They have a great area for kids.

842
00:43:27,360 --> 00:43:30,839
Speaker 3: To be able to go with their parents, to hold

843
00:43:30,880 --> 00:43:34,640
Speaker 3: big children's area, and you know, maternal health is in there.

844
00:43:34,800 --> 00:43:37,400
Speaker 3: So that's a big thing for a community to be

845
00:43:37,480 --> 00:43:40,000
Speaker 3: able to have something like that as a facility. And

846
00:43:40,040 --> 00:43:42,839
Speaker 3: I think that's what changed my mindset when I moved

847
00:43:42,880 --> 00:43:46,360
Speaker 3: out to a rural town because those decisions really impact

848
00:43:46,400 --> 00:43:46,960
Speaker 3: the community.

849
00:43:47,400 --> 00:43:50,400
Speaker 1: Yeah, hey, before we go, we've got ten minutes. I

850
00:43:50,440 --> 00:43:53,799
Speaker 1: want to I'm just looking at your list of things

851
00:43:53,800 --> 00:43:56,080
Speaker 1: that we haven't gotten to, which is most of them.

852
00:43:56,360 --> 00:43:58,520
Speaker 4: But it was our last podcast. We got through everything,

853
00:43:58,600 --> 00:44:01,400
Speaker 4: our last body that's this one because this one is

854
00:44:01,440 --> 00:44:06,040
Speaker 4: relevant to me. Apple watches can now detect hypertension, which

855
00:44:06,120 --> 00:44:07,920
Speaker 4: of course everyone is high blood pressure.

856
00:44:09,640 --> 00:44:13,839
Speaker 1: I like that. So for me, I used to have

857
00:44:14,200 --> 00:44:19,120
Speaker 1: quite bad hypertension genetically because of Mum and Dad, and

858
00:44:19,200 --> 00:44:21,759
Speaker 1: I've had a recent experience just quickly. So since I

859
00:44:21,840 --> 00:44:26,320
Speaker 1: first got prescribed my drug, which was Averpro one hundred

860
00:44:26,320 --> 00:44:29,680
Speaker 1: and fifty milligrams was the dose, I was twenty kilos

861
00:44:29,719 --> 00:44:32,000
Speaker 1: heavier than you know, mainly muscle, but I was a

862
00:44:32,000 --> 00:44:35,959
Speaker 1: bullfeed I was a bodybuilder. And now all these years later,

863
00:44:36,320 --> 00:44:39,719
Speaker 1: I was feeling shits and it kind of occurred to me, Well,

864
00:44:39,760 --> 00:44:42,400
Speaker 1: you have low blood pressure now because every time you

865
00:44:42,440 --> 00:44:45,120
Speaker 1: stand up you get dizzy. Every time you bend over

866
00:44:45,160 --> 00:44:47,720
Speaker 1: and do one arm rows and stand up, you're dizzy.

867
00:44:47,719 --> 00:44:50,239
Speaker 1: When you get out of the shower, you're dizzy. And

868
00:44:50,280 --> 00:44:52,319
Speaker 1: I don't know why the scientists didn't think of this

869
00:44:52,400 --> 00:44:54,840
Speaker 1: a long time ago. Oh well, now you weigh twenty

870
00:44:54,920 --> 00:44:58,080
Speaker 1: kilos less, you're probably fitter because you walk ten kilometers

871
00:44:58,120 --> 00:45:01,680
Speaker 1: a day and you take the same dose that you

872
00:45:01,719 --> 00:45:05,680
Speaker 1: did when you're one hundred klo buffed, So harved it better,

873
00:45:08,120 --> 00:45:08,279
Speaker 1: you know.

874
00:45:08,360 --> 00:45:11,319
Speaker 3: White coat hypertension is something that I know you know

875
00:45:11,400 --> 00:45:13,879
Speaker 3: a lot about and I suffer from as well, which

876
00:45:14,440 --> 00:45:17,520
Speaker 3: means when you walk into a doctor surgery and they

877
00:45:17,520 --> 00:45:19,880
Speaker 3: put the cuff on your arm and they start inflating

878
00:45:19,920 --> 00:45:23,040
Speaker 3: the cuff. You start to get more stressed and that

879
00:45:23,080 --> 00:45:25,120
Speaker 3: affects the reading that you get, and the problem with

880
00:45:25,160 --> 00:45:26,880
Speaker 3: that is that you never get an accurate reading. So

881
00:45:27,200 --> 00:45:31,040
Speaker 3: the new Apple Series eleven Watch, which is the Ultra

882
00:45:31,160 --> 00:45:32,240
Speaker 3: three that's.

883
00:45:32,120 --> 00:45:32,640
Speaker 1: Just come out.

884
00:45:32,640 --> 00:45:34,879
Speaker 3: So Apple have their big event and they talk about

885
00:45:34,880 --> 00:45:36,440
Speaker 3: all the new gadgets that have come out. They have

886
00:45:36,480 --> 00:45:39,040
Speaker 3: this super slim line phone that also came out as well,

887
00:45:39,040 --> 00:45:40,000
Speaker 3: the light I think they're.

888
00:45:39,800 --> 00:45:42,240
Speaker 1: Going on or air Wow wow Apple.

889
00:45:42,880 --> 00:45:45,240
Speaker 3: Yeah, whatever it is, the Apple Phone air or something anyway,

890
00:45:45,280 --> 00:45:47,399
Speaker 3: but this thing is really cool because what it does

891
00:45:47,480 --> 00:45:52,000
Speaker 3: is they're using machine learning or clever I guess tech

892
00:45:52,600 --> 00:45:57,279
Speaker 3: to monitor a person's signs of hypertension. So it's not

893
00:45:57,400 --> 00:46:00,160
Speaker 3: like a blood pressure monitor where it's constantly monitoring what

894
00:46:00,200 --> 00:46:03,600
Speaker 3: your actual blood pressure is. It's looking for signs of hypertension,

895
00:46:03,880 --> 00:46:06,600
Speaker 3: and then if it thinks that you're experiencing what they're

896
00:46:06,600 --> 00:46:10,200
Speaker 3: calling chronic high blood pressure, it is now go and

897
00:46:10,440 --> 00:46:13,520
Speaker 3: check your blood pressure. So it's constantly looking at you

898
00:46:13,560 --> 00:46:15,239
Speaker 3: on a day to day basis, which gives you a

899
00:46:15,280 --> 00:46:18,200
Speaker 3: much more holistic way of what's going on. Because this

900
00:46:18,280 --> 00:46:20,799
Speaker 3: is something of a holy grail for me, because I've

901
00:46:21,120 --> 00:46:24,080
Speaker 3: struggled with the you know, I've go to some doctors

902
00:46:24,080 --> 00:46:26,960
Speaker 3: and I say I've got white white coat hypertension and

903
00:46:27,000 --> 00:46:29,480
Speaker 3: they say, well, no, that's bullshit, it doesn't really exist,

904
00:46:29,760 --> 00:46:31,759
Speaker 3: or they don't really believe that you've got it, and

905
00:46:31,800 --> 00:46:33,799
Speaker 3: they want to put you on drugs. And I don't

906
00:46:33,840 --> 00:46:36,080
Speaker 3: like the idea of being, you know, taking drugs because

907
00:46:36,120 --> 00:46:38,799
Speaker 3: I'm fit and healthy. Well I think I am, but

908
00:46:38,920 --> 00:46:41,480
Speaker 3: there are other side things that I test for. So,

909
00:46:41,800 --> 00:46:44,080
Speaker 3: you know, I went to my optometrist recently and had

910
00:46:44,080 --> 00:46:46,920
Speaker 3: my eyes tested, and the little tiny, tiny veins in

911
00:46:46,960 --> 00:46:49,759
Speaker 3: the back of your eyes can be an indicator of

912
00:46:49,800 --> 00:46:52,840
Speaker 3: whether or not you've got hypertension. Prolonged hype pretension be

913
00:46:53,320 --> 00:46:56,360
Speaker 3: so delicate that you know, And because I've been to

914
00:46:56,400 --> 00:46:59,160
Speaker 3: the same optometrist for years, I can go back, you know,

915
00:46:59,239 --> 00:47:01,920
Speaker 3: five or six year and see the same photograph of

916
00:47:02,000 --> 00:47:04,279
Speaker 3: the back of my eye and they can back whether

917
00:47:04,280 --> 00:47:05,120
Speaker 3: there's been damaged.

918
00:47:05,160 --> 00:47:06,839
Speaker 1: So there are little things like that that.

919
00:47:06,800 --> 00:47:10,080
Speaker 3: Can also give you a bit of an idea of

920
00:47:10,120 --> 00:47:14,280
Speaker 3: whether your hypertension is over a prolonged pit pardon me, period,

921
00:47:14,320 --> 00:47:16,360
Speaker 3: but it's but I think this is great. You know,

922
00:47:16,480 --> 00:47:18,600
Speaker 3: more techno, I don't. I guess I don't want to

923
00:47:18,600 --> 00:47:22,080
Speaker 3: be in a situation where as we spoke earlier with Tiff,

924
00:47:22,120 --> 00:47:25,040
Speaker 3: where you become reliant on that device and you're checking

925
00:47:25,040 --> 00:47:27,960
Speaker 3: it constantly. This is much more of a generic kind

926
00:47:28,040 --> 00:47:31,600
Speaker 3: of approach where it's monitoring in the background and I

927
00:47:31,920 --> 00:47:35,920
Speaker 3: notifies you if it finds something that could indicate you've

928
00:47:35,920 --> 00:47:38,520
Speaker 3: got hypertension. So that's what I really liked about this.

929
00:47:38,640 --> 00:47:39,800
Speaker 3: I thought that's quite interesting.

930
00:47:40,480 --> 00:47:42,439
Speaker 1: Yeah, if you use it as a tool rather than

931
00:47:42,480 --> 00:47:46,640
Speaker 1: the ultimate medical kind of decision maker. But yeah, I agree.

932
00:47:47,280 --> 00:47:49,719
Speaker 1: And of course we've got a I don't know that

933
00:47:49,800 --> 00:47:52,400
Speaker 1: you've ever had an item on your list that you

934
00:47:52,480 --> 00:47:55,160
Speaker 1: send me that's been about poohing. And I couldn't be happier.

935
00:47:55,920 --> 00:47:59,640
Speaker 1: I couldn't be happier because somehow you have tied shitting

936
00:48:00,280 --> 00:48:00,839
Speaker 1: with tech.

937
00:48:02,360 --> 00:48:07,759
Speaker 3: Proceed proceed well, Okay, A lot of us, and I've

938
00:48:08,040 --> 00:48:10,040
Speaker 3: putting me in this, A lot of us take our

939
00:48:10,080 --> 00:48:11,360
Speaker 3: phones to the bathroom.

940
00:48:11,400 --> 00:48:13,640
Speaker 1: Oh you're disgusting. I know.

941
00:48:13,760 --> 00:48:16,560
Speaker 3: Everyone put your hand up in this podcast. Have you

942
00:48:16,600 --> 00:48:18,960
Speaker 3: ever taken your phone to the toilet with you?

943
00:48:19,000 --> 00:48:19,920
Speaker 1: No?

944
00:48:19,920 --> 00:48:22,040
Speaker 3: No, you don't take you leave it outside the toilet.

945
00:48:22,360 --> 00:48:27,320
Speaker 1: Oh yeah, definitely, yeah, believe you only only when I'm awake,

946
00:48:27,480 --> 00:48:28,200
Speaker 1: I take it in.

947
00:48:29,400 --> 00:48:33,239
Speaker 3: So researchers they did a small survey one hundred and

948
00:48:33,239 --> 00:48:36,359
Speaker 3: twenty five adults at the Boston Medical Center and they

949
00:48:36,480 --> 00:48:41,239
Speaker 3: found that there is a relationship between sitting down and

950
00:48:41,280 --> 00:48:46,279
Speaker 3: pooping and the increase increased of hemorrhoids. And what they

951
00:48:46,320 --> 00:48:49,200
Speaker 3: find what they're finding is if you take your phone

952
00:48:49,280 --> 00:48:51,920
Speaker 3: into the toilet with you, you're more inclined to spend

953
00:48:51,960 --> 00:48:54,160
Speaker 3: more time sitting on the can and that's where the

954
00:48:54,200 --> 00:48:57,640
Speaker 3: problem arises from. So they believe that smartphone use on

955
00:48:57,640 --> 00:49:01,399
Speaker 3: the toilet is gives you a forty six percent increased

956
00:49:01,520 --> 00:49:04,239
Speaker 3: risk hemorrhoids. Now do you want to tell everybody what

957
00:49:04,280 --> 00:49:05,040
Speaker 3: a hemorrhoid is.

958
00:49:05,880 --> 00:49:09,319
Speaker 1: Well, it's basically a little ruptured blood vessel around your

959
00:49:09,800 --> 00:49:13,640
Speaker 1: anus or lakes can be inside your anus, inside the

960
00:49:13,680 --> 00:49:17,480
Speaker 1: little canal there or outside. Kind of looks like a

961
00:49:19,000 --> 00:49:22,160
Speaker 1: grape or they can it's a little bit. I'm sure

962
00:49:22,160 --> 00:49:24,000
Speaker 1: a lot of people have them that are listening, But

963
00:49:24,719 --> 00:49:27,120
Speaker 1: I can hand on heart say I've never had one,

964
00:49:27,200 --> 00:49:30,239
Speaker 1: but of course I know what they are, but I

965
00:49:30,280 --> 00:49:32,400
Speaker 1: can't say I would want one, I should probably do

966
00:49:32,880 --> 00:49:36,680
Speaker 1: stop doing phone meetings while on the crapper, Patrick, do

967
00:49:36,760 --> 00:49:37,560
Speaker 1: you look?

968
00:49:37,600 --> 00:49:40,040
Speaker 3: I would never answer a phone in the toilet for

969
00:49:40,120 --> 00:49:40,759
Speaker 3: the most part.

970
00:49:41,480 --> 00:49:45,520
Speaker 1: What's wrong with you? What's wrong with you? That's called efficiency? Really?

971
00:49:45,960 --> 00:49:50,080
Speaker 3: Yeah, thank goodness, is not smell of vision. But so,

972
00:49:50,320 --> 00:49:52,839
Speaker 3: but they can be really painful and it can lead

973
00:49:52,880 --> 00:49:55,400
Speaker 3: to us problems. I mean, there are other reasons people

974
00:49:55,400 --> 00:49:57,239
Speaker 3: get hemorrhoids as well. It could be you know that

975
00:49:57,280 --> 00:49:59,279
Speaker 3: you're not having enough fiber in your diet, that you're

976
00:49:59,320 --> 00:50:01,520
Speaker 3: straining to hard when you go to the toilet. And

977
00:50:01,560 --> 00:50:03,680
Speaker 3: I know we always talk about the pooping seat. What

978
00:50:03,680 --> 00:50:04,600
Speaker 3: do they call that? The little bit?

979
00:50:04,640 --> 00:50:06,960
Speaker 1: Yeh, squatty potty? Did you say I got one gifted

980
00:50:06,960 --> 00:50:07,839
Speaker 1: this week? Oh?

981
00:50:07,920 --> 00:50:08,239
Speaker 2: Did you?

982
00:50:08,640 --> 00:50:11,440
Speaker 1: I've been one for years. It's great. Here's a funny

983
00:50:11,480 --> 00:50:13,879
Speaker 1: story that my listeners know but you don't, so I'll

984
00:50:13,880 --> 00:50:14,160
Speaker 1: tell you.

985
00:50:14,200 --> 00:50:14,239
Speaker 3: So.

986
00:50:14,280 --> 00:50:16,759
Speaker 1: I was walking back from the cafe. Here this bloke

987
00:50:16,840 --> 00:50:18,920
Speaker 1: yelling my name from the other side of the street.

988
00:50:19,440 --> 00:50:21,799
Speaker 1: I've got headphones on, but I just was aware of

989
00:50:21,880 --> 00:50:24,840
Speaker 1: waving arms and someone gesticulating towards me. I tap my

990
00:50:24,880 --> 00:50:27,400
Speaker 1: headphones off. He's calling out my name. No idea who

991
00:50:27,480 --> 00:50:32,720
Speaker 1: he is, and he goes apps and I'm like, yeah,

992
00:50:32,840 --> 00:50:34,640
Speaker 1: you know when you think, oh, maybe I'm meant to

993
00:50:34,680 --> 00:50:36,960
Speaker 1: know this person, so you don't want to be rude.

994
00:50:37,440 --> 00:50:40,080
Speaker 1: You might have met him four times anyway, I'm like, hey, mate,

995
00:50:40,080 --> 00:50:42,920
Speaker 1: how are you. I'm like, fucking no idea anyway, I'll

996
00:50:43,000 --> 00:50:46,319
Speaker 1: Mate holds up the one finger universal sign for can

997
00:50:46,360 --> 00:50:49,319
Speaker 1: you just wait. I'm like okay. So I stop on

998
00:50:49,360 --> 00:50:52,080
Speaker 1: the side of the footpath and o Mate opens the

999
00:50:52,120 --> 00:50:55,160
Speaker 1: back of his car and gets out of Squatty Potty,

1000
00:50:55,840 --> 00:50:58,360
Speaker 1: a brand new one, and runs across the street towards me,

1001
00:50:58,560 --> 00:51:02,680
Speaker 1: across Hampton Street carrying Squatty Potty not weird at all.

1002
00:51:02,719 --> 00:51:06,919
Speaker 1: And so then he goes, hey, is, yeah, I work

1003
00:51:07,000 --> 00:51:09,359
Speaker 1: for Squatty Potty and blah blah blah blah blah, and

1004
00:51:09,960 --> 00:51:12,160
Speaker 1: I've heard about you talking about him on the show.

1005
00:51:12,200 --> 00:51:14,160
Speaker 1: Thought you might be due for a new one and

1006
00:51:14,400 --> 00:51:20,319
Speaker 1: bibbity Bobby boo, and I'm like thanks, I guess no,

1007
00:51:20,360 --> 00:51:24,480
Speaker 1: he was lovely. It was. It was funny though, And yeah,

1008
00:51:24,560 --> 00:51:27,160
Speaker 1: shout out to Squatty Potty man. I'm not sponsored by them, No,

1009
00:51:27,320 --> 00:51:29,200
Speaker 1: you're you're on mute. By the way, I don't know.

1010
00:51:29,200 --> 00:51:32,120
Speaker 1: If you know that, you do you use it? Have

1011
00:51:32,239 --> 00:51:35,040
Speaker 1: you used one pre every day? Oh? Yeah, yeah, I've been.

1012
00:51:35,640 --> 00:51:42,280
Speaker 1: I've been using the elevated foot position. If you go interestingly, folks,

1013
00:51:42,360 --> 00:51:44,479
Speaker 1: it's not a gimmick at all. There's actually a real

1014
00:51:45,040 --> 00:51:48,800
Speaker 1: anatomical advantage that actually unkinks your colon and does a

1015
00:51:48,840 --> 00:51:51,440
Speaker 1: whole lot of amazing shit. But if you go into

1016
00:51:51,760 --> 00:51:54,680
Speaker 1: any AI program and just say, what are the advantages

1017
00:51:54,840 --> 00:51:58,799
Speaker 1: of going to the toilet or you know, snapping one off,

1018
00:51:58,840 --> 00:52:00,719
Speaker 1: backing one out, shooting one off to where I be,

1019
00:52:00,880 --> 00:52:03,520
Speaker 1: dropping the kids off at the pool, releasing the chocolate hostage,

1020
00:52:03,520 --> 00:52:09,480
Speaker 1: whatever you want to call it. You welcome, you welcome Boys' school.

1021
00:52:10,000 --> 00:52:13,440
Speaker 1: With my feet elevated, it will take you into quite

1022
00:52:13,440 --> 00:52:17,359
Speaker 1: a deep, clinical kind of assessment of why. And I'm

1023
00:52:17,360 --> 00:52:21,960
Speaker 1: not kidding. Yeah, it makes a massive difference. Can I

1024
00:52:22,000 --> 00:52:22,720
Speaker 1: admit something?

1025
00:52:23,160 --> 00:52:26,319
Speaker 3: Yes, when I travel, of course I don't take it

1026
00:52:26,360 --> 00:52:29,319
Speaker 3: with me, you know, but I'm always concerned because I

1027
00:52:29,360 --> 00:52:31,560
Speaker 3: know how important it is to elevate my feet.

1028
00:52:31,880 --> 00:52:34,120
Speaker 1: Yes, I'm China, and you use a squat toilet.

1029
00:52:34,320 --> 00:52:37,279
Speaker 3: So when I go to places like friends houses, I

1030
00:52:37,360 --> 00:52:40,480
Speaker 3: look for things I can one per one hundred percent

1031
00:52:40,880 --> 00:52:43,479
Speaker 3: leak up against the wall or whatever, just to try

1032
00:52:43,480 --> 00:52:45,279
Speaker 3: to keep my feet up so that I could get

1033
00:52:45,320 --> 00:52:45,840
Speaker 3: my card.

1034
00:52:46,719 --> 00:52:48,680
Speaker 1: Can I tell you what I do which I've never

1035
00:52:48,719 --> 00:52:51,200
Speaker 1: said this to any human on earth at alone on

1036
00:52:51,239 --> 00:52:53,520
Speaker 1: a fucking This could be the end of my career.

1037
00:52:54,440 --> 00:52:57,120
Speaker 1: Shout out to the hotels that I stay at. I

1038
00:52:57,200 --> 00:53:01,600
Speaker 1: slide the draw out of whatever it is. So I

1039
00:53:01,640 --> 00:53:04,920
Speaker 1: take the drawer out, I turn it upside down, and

1040
00:53:04,920 --> 00:53:08,080
Speaker 1: then it usually angles up and I just put my

1041
00:53:08,120 --> 00:53:10,239
Speaker 1: feet on the edges of that like I don't like

1042
00:53:10,320 --> 00:53:12,479
Speaker 1: put all my weight on it. And now my feet

1043
00:53:12,480 --> 00:53:15,680
Speaker 1: are elevated, I snap one off, I do my business.

1044
00:53:15,719 --> 00:53:18,160
Speaker 1: Then I put the drawback in, and no one's any

1045
00:53:18,200 --> 00:53:20,719
Speaker 1: of the wiser, and life is good. And then you

1046
00:53:20,719 --> 00:53:24,000
Speaker 1: have a shower straight after it. Of course, people who

1047
00:53:24,080 --> 00:53:26,120
Speaker 1: shit and then don't shower, what the fuck is wrong

1048
00:53:26,160 --> 00:53:31,160
Speaker 1: with you. I've not had a shit without showering in

1049
00:53:31,200 --> 00:53:34,480
Speaker 1: twenty five years. My ass needs to hit the water

1050
00:53:34,760 --> 00:53:38,439
Speaker 1: within sixty seconds, and that's too long. Wait a minute.

1051
00:53:38,480 --> 00:53:40,440
Speaker 3: I mean, I know you're regular, but what happens if

1052
00:53:40,440 --> 00:53:41,320
Speaker 3: you're at a conference?

1053
00:53:42,000 --> 00:53:45,879
Speaker 1: Don't shit? You don't shit. I will not shit if

1054
00:53:45,880 --> 00:53:49,000
Speaker 1: there's not a shower available. You know that one day

1055
00:53:49,040 --> 00:53:54,080
Speaker 1: you're going to Mount Na. We have an arrangement, mean

1056
00:53:54,080 --> 00:53:56,440
Speaker 1: my bow have an arrangement. Patrick. Tell people how they

1057
00:53:56,440 --> 00:53:59,239
Speaker 1: can find you, follow you, connect with you, please. I

1058
00:53:59,360 --> 00:54:00,799
Speaker 1: don't even know to go with that.

1059
00:54:01,320 --> 00:54:06,600
Speaker 3: You can websites noow dot com dot au is a

1060
00:54:06,640 --> 00:54:08,600
Speaker 3: website for one of my businesses, and you can kind

1061
00:54:08,600 --> 00:54:10,440
Speaker 3: of connect with me. And the other thing I was

1062
00:54:10,440 --> 00:54:12,799
Speaker 3: going to say is if you want us to talk

1063
00:54:12,800 --> 00:54:15,360
Speaker 3: about a specific topic and get me to research it,

1064
00:54:15,800 --> 00:54:19,600
Speaker 3: either jump onto the Facebook of typ and send a

1065
00:54:19,600 --> 00:54:22,919
Speaker 3: message or just message me at websites noow dot com

1066
00:54:22,920 --> 00:54:26,360
Speaker 3: TODAYU because I would love to deep dive into something

1067
00:54:26,360 --> 00:54:28,200
Speaker 3: that you might be interested in. Because we kind of

1068
00:54:28,400 --> 00:54:30,360
Speaker 3: you know, we talk amongst ourselves. I come up with

1069
00:54:30,360 --> 00:54:32,839
Speaker 3: a list, we sometimes look at it, we sometimes don't

1070
00:54:32,880 --> 00:54:34,920
Speaker 3: look at it. But that'd be cool. So if you

1071
00:54:34,960 --> 00:54:37,000
Speaker 3: want to send a message just to give us something

1072
00:54:37,040 --> 00:54:39,560
Speaker 3: to talk about anytime, even if.

1073
00:54:39,440 --> 00:54:42,440
Speaker 1: You've got a specific to you question about tech. And

1074
00:54:42,480 --> 00:54:44,399
Speaker 1: it might seem a little selfish, but there's a fair

1075
00:54:44,480 --> 00:54:46,520
Speaker 1: chance that if you want that answer, someone else wants

1076
00:54:46,560 --> 00:54:49,279
Speaker 1: it as well. All right, mate, you're the best. We'll

1077
00:54:49,320 --> 00:54:52,440
Speaker 1: say goodbye affair, but thanks again. Buddy, Yeah goodness. Chat