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Speaker 1: Okay, it tell him it's it's Harps and Patrick. We

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Speaker 1: are Sands, Tiff, You and I am just going to

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Speaker 1: have to see how we go. Just us too, dummies, mate, Yeah,

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Speaker 1: we'll be fine.

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Speaker 2: You know. Testosterone's pumping.

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Speaker 1: Did you go get some? I'm glad you got some.

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Speaker 1: Where'd you get it? Did you get it on the

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Speaker 1: black market or did you see the doc?

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Speaker 2: Really?

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Speaker 1: Do we have to go there already? No? I reckon.

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Speaker 1: I actually think your testosterone levels would be probably above

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Speaker 1: average for your age because of your health, your healthy lifestyle,

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Speaker 1: et cetera.

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Speaker 2: Does that make a big difference, does it?

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Speaker 1: Oh? Of course? Yeah? Yeah, yeah, yeah. So if you

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Speaker 1: if you beat your body up, you know, drink lots

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Speaker 1: of booze, eat shit, don't exercise, you know, like literally

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Speaker 1: lifting weights or in your case, doing tai chi or

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Speaker 1: other kind of strength based stuff as well, increases testosterone production,

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Speaker 1: you know. So yeah, being sedentary apart from the fact

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Speaker 1: that it declines as men age and women as well,

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Speaker 1: because women have testosterone and small amounts. But yes, so, oh,

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Speaker 1: one hundred percent, like lifting weights increases test production and

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Speaker 1: blah blah blah and all of that. But there's a

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Speaker 1: lot of Yeah, it's a lot of things going on

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Speaker 1: in that kind of endocrime space around male and female

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Speaker 1: hormones and therapy. And it's for very a very long

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Speaker 1: time talking about and I've spoken about too much on

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Speaker 1: this show, but anything linked to testosterone and men is

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Speaker 1: essentially associated with the drug cheating scandals of the eighties

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Speaker 1: and nineties and everyone, like people don't understand that that

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Speaker 1: testosterone does not equal steroids, you know what I mean.

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Speaker 1: And there's clinical applications we're talking about health and just

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Speaker 1: like there are for ester own and estrogen for women.

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Speaker 1: But enough of that boring conversation. Do you still have

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Speaker 1: morning Wood? Patrick? That's that's my question. Do you still

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Speaker 1: periodically have that? This is a consult now everyone, you're welcome.

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Speaker 2: I feel like I'm damned if I do, if I

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Speaker 2: damned if I don't. By answering that question.

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Speaker 1: Well, do you know what's funny is like literally, but

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Speaker 1: literally a doctor will ask you whether or not like

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Speaker 1: I listen, have you heard of a speaking of tech?

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Speaker 1: Have you heard of a guy called Brian Johnson? No,

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Speaker 1: this is true, Okay, now I haven't come. So here's

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Speaker 1: like this dude who spends two million dollars a.

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Speaker 2: Year on reversing a Sorry, yes, of course I have.

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Speaker 1: Yeah. Yeah, So one of the things that he talks about,

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Speaker 1: and it's not haha, giggle, giggle. You know, schoolboy smut

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Speaker 1: is like like with men, and this sounds funny, but

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Speaker 1: one of the indicators of health is literally how many

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Speaker 1: times and for how long a night men have an erection.

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Speaker 1: And so in young, healthy males sometimes that happens somewhere

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Speaker 1: around two to three hours a night, and it's not

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Speaker 1: because they're sexually aroused, it's just what's happening in their body.

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Speaker 1: And so this is an indicator of and yes, it

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Speaker 1: sounds funny, but it's got to do with blood flow

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Speaker 1: and testosterone production and cell health and all of these things.

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Speaker 1: Whereas yeah, like guys who are fifty or sixty who

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Speaker 1: can still do that or who still get you know,

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Speaker 1: without too much trouble, they can get an erection. Sorry everyone,

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Speaker 1: it's clinical. Yeah, it's a real indicator of health. And obviously,

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Speaker 1: you know, every second dude in Australia, if not more

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Speaker 1: past a certain age have a rectal dysfunction, which it's

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Speaker 1: all haha, who you know what it actually correlates really

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Speaker 1: strongly with overall well being. Just like when women's estrogen

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Speaker 1: and progesterone levels drop, it equates to, among other things,

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Speaker 1: perimenopause and menopause. And so there are these physiological consequences

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Speaker 1: on both sides of the endocrime scale. But because we're

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Speaker 1: so fucking stupid in our society at times where we

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Speaker 1: just all, you know, but if we snigger at it

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Speaker 1: or we think it's controversial. But if your hormones aren't working,

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Speaker 1: including thyroid function and a bunch of other things, you're fucked.

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Speaker 1: So that's why women go on HRT, and that's why

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Speaker 1: we try to get the endocrime system working well, because

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Speaker 1: if that's working well, you're literally winding back the clock biologically.

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Speaker 2: At least now you eloquently pointed out or asked if

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Speaker 2: I had morning, would which was really lovely way of

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Speaker 2: putting it. Thanks, thank you very much for that.

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Speaker 1: You're welcome.

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Speaker 2: What I think I might do for the next two

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Speaker 2: weeks before our next is I'll keep a diary for you,

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Speaker 2: Craig yep, yep, yep. I'll make take note. I can't

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Speaker 2: say that I do.

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Speaker 1: You know what for for our seven male listeners that

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Speaker 1: we have because I don't know why, but women love you.

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Speaker 1: So many women I love Patrick. I'm like, you know,

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Speaker 1: he likes I love him.

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Speaker 2: I like too, but just not in that way.

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Speaker 1: That's probably why they like you. They feel safe.

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Speaker 2: Yeah you can, yeah, absolutely, yeah, yeah, yeah, you.

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Speaker 1: Know, yes, go on.

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Speaker 2: I want to keep onto this topic because I had

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Speaker 2: a very interesting little.

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Speaker 1: Careful Yeah, I'm worried now. I want to keep on

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Speaker 1: the topic of erections because I had an interesting yet

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Speaker 1: go on.

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Speaker 2: Okay, So, over the age of fifty, males should get

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Speaker 2: PSA tests done, which is a prostate specific atogen. And so,

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Speaker 2: as you know, my twin brother had prostate cancer and

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Speaker 2: is now going through that journey. In a big concern

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Speaker 2: for me as well, obviously, because it increases the risk.

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Speaker 2: If you're under the age of sixty, your siblings have

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Speaker 2: a higher risk of prostate cancer. And so I've been

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Speaker 2: tracking my PSAs and I did blood tests just recently

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Speaker 2: because I like to get on your blood tests, particularly

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Speaker 2: with my eating patterns and all that sort of stuff.

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Speaker 2: And what I've been researching, and this doesn't get told

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Speaker 2: very often, is that And again I'm trying to put

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Speaker 2: this delicately, but if you act on that morning wood.

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Speaker 1: Do you hang a towel on it or something and

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Speaker 1: then stroll through the house.

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Speaker 2: That's the right, Yeah, because you've got to fall suddenly.

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Speaker 2: That can influence your pay levels levels within six hours,

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Speaker 2: but up to twenty four to forty eight hours.

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Speaker 1: Why are you doing this as you're he's holding out

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Speaker 1: his hands like you know when you caught a fish. Yeah,

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Speaker 1: go on, so say that again about the six hours

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Speaker 1: I was obsessed with your hands?

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Speaker 2: No, no, just PSA L I'm not going to sit

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Speaker 2: on my hands now, so I don't move there.

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Speaker 1: That looks worse, Yeah, go worse.

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Speaker 2: Yeah, evidently this in reading, you know, doing research into

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Speaker 2: two PSA levels because I'm obviously monitoring mine very closely.

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Speaker 2: What can influence your PSAs is if you've if you've

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Speaker 2: had yeah, you know you've jacked op lated, thank you,

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Speaker 2: weed off, ejaculated right within six hours, but up to

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Speaker 2: twenty four to forty eight hours. So I went monk

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Speaker 2: for the last week before I had my blood test,

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Speaker 2: and my PINS dropped by about ten percent.

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Speaker 1: It dropped. So you're saying jacking off increases your PSA.

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Speaker 2: Well, if it's just before you go for a blood test, Yeah,

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Speaker 2: evidently because I got a GP friend of mine yesterday.

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Speaker 2: We walk every week. I've got a few grints.

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Speaker 1: Hang on, So what's the message? What's the And by

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Speaker 1: the way, remember everyone, this is not this is the

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Speaker 1: opposite of advice, So don't take any notice of what

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Speaker 1: Patrick's jacking off regime really or any kind of medical

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Speaker 1: conclusions he draws from that. Now you've hit up the computer, Well,

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Speaker 1: how I don't trust you.

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Speaker 2: The effect of ejaculation on serum prostate specific antigen level

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Speaker 2: This is an article written in twenty thirteen from the

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Speaker 2: National Institute of Health. So evidently it's it's known that

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Speaker 2: that can impact your PSA levels, but.

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Speaker 1: You haven't read out the rest. What's it say? The impact?

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Speaker 2: Okay, ejaculation contemporarily temporarily increase serum prostate specific andigen's PSA levels,

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Speaker 2: typically by five to ten percent, with the particlar bike

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Speaker 2: lasting up to forty eight hours.

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Speaker 1: Right, Well there you go. Yeah, so boys, Yeah, that's

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Speaker 1: that's a tricky one, isn't it. You do a cost

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Speaker 1: benefit analysis, You're like, how long is it elevated? Yeah?

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Speaker 1: And what are we talking about? Now? Hey, well, you

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Speaker 1: keep on keeping on. Thanks for eating a fourteen day

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Speaker 1: would diary. We'll call it the E MW Early Morning

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Speaker 1: Wood Diary.

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Speaker 2: So Jake the PEG. What about you?

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Speaker 1: Hey, I've had an direction since the eighties for you.

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Speaker 2: I don't all right now there you're embarrassed?

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Speaker 1: Is it hot in here? Is it hot in here?

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Speaker 1: Stop it? Yeah? Well, well, I'll also keep a diary

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Speaker 1: we compare. No, we won't everyone that's disgusting and for

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Speaker 1: the one listener that remains, For the one listener, what

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Speaker 1: is wrong with you? Why are you still here? Oh? God?

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Speaker 1: Do you know? We do this every time where we

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Speaker 1: talk about ship that's so unrelated, nothing to do with

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Speaker 1: what we're meant to be talking about. And then there's

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Speaker 1: this awkward, fucking segue. Let's talk about technology.

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Speaker 2: Wait a minute, let's talk about porn, men, because there

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Speaker 2: is a segment there is something that I want to

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Speaker 2: talk about and relate to porn, because if you happen

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Speaker 2: to be.

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Speaker 1: I feel much better with that segue.

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Speaker 2: Well, because if you wake up okay anywhere?

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Speaker 1: All right, all right, let's talk about porn. Do we

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Speaker 1: need to?

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Speaker 2: But all right, well, no, it's just in relation to

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Speaker 2: the government oversight and the fact that the Australian government

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Speaker 2: is now limiting access to social media for children under

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Speaker 2: the age of sixteen. They're also rolling out systems to

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Speaker 2: be able to verify age with a lot of the

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Speaker 2: major porn sites as well. That raises concerns and about

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Speaker 2: the oversight of how they're going to verify that you

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Speaker 2: are over a certain age. So, you know, for adults

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Speaker 2: wanting to access porn in Australia, now you will have

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Speaker 2: to prove your.

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Speaker 1: Age, right, yeah, okay, And how do you do that?

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Speaker 2: Well, there's number of different ways that can do it.

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Speaker 2: One will be literally using a scanner on your phone,

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Speaker 2: like the camera on your phone, to just take a

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Speaker 2: photograph of yourself and then it will use an algorithm

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Speaker 2: to to gauge whether or not you're old enough.

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Speaker 1: That seems like then you're giving an image of yourself

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Speaker 1: to the fucking Internet, not that you know. I don't

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Speaker 1: know how porn works, but allegedly I don't. Yeah, let's

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Speaker 1: stop now.

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Speaker 2: Yeah, that was the only segue I could think of

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Speaker 2: in relation to our conversation, Craig, Can we talk about

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Speaker 2: something else?

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Speaker 1: Yeah? Fuck please? Please? Let's talk about another bloody app

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Speaker 1: from Patrick nearby Glasses. What does nearby Glasses by the way,

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Speaker 1: everyone Patrick sends me a list of talking points, we

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Speaker 1: generally don't get halfway through it. But tell me about

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Speaker 1: your bloody app.

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Speaker 2: Well, there's lots of concerns at the moment with all

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Speaker 2: these smart glasses that are out and Meta, the company

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Speaker 2: that owns Facebook has teamed up with a few glasses

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Speaker 2: manufacturers and what you've got AI glasses that have cameras

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Speaker 2: in them. You can record, you can take photos, but

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Speaker 2: the eyeglasses can also see the world around them. And

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Speaker 2: we were chatting earlier about how you and how I

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Speaker 2: went to a concert in Melbourne this week and I

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Speaker 2: was with a blind friend of mine who has you know,

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Speaker 2: who has some smart glasses, and we were just talking

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Speaker 2: about how useful they are for him to use those

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Speaker 2: to be able to describe what is visually in front

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Speaker 2: of him. So his wife bought them for him. Although

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Speaker 2: he's really good with a cane and he's got a

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Speaker 2: seeing eye dog, but he's been playing around with the

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Speaker 2: new smart glasses. But there are privacy concerns about somebody

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Speaker 2: walking around with cameras that are constantly recording or taking

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Speaker 2: in the scenery around them. So this guy came out

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Speaker 2: with an app called Nearby Glasses, and I tested it

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Speaker 2: and I downloaded it onto my phone. It's really cool

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Speaker 2: because when people use smart glasses, the glasses are basically

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Speaker 2: connecting to your phone and that's how they're getting the

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Speaker 2: information and how they're able to do all the amazing

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Speaker 2: things that they're doing. But evidently there's a certain frequency

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Speaker 2: range and without going into the technicals, effectively, this app

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Speaker 2: will let you know if someone in your vicinity is

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Speaker 2: dark glasses. Yeah, and potentially sporting. Yeah. I thought it

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Speaker 2: was really good.

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Speaker 1: So now that is a good idea, Like, I think

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Speaker 1: that's a good that's a great like. Yeah. And also

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Speaker 1: I think I don't know why this jumped to mine,

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Speaker 1: but I yes, I do. I was talking to one

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Speaker 1: of the ladies who works at the gym i' go

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Speaker 1: to and they were just talking about, you know, creeping

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Speaker 1: creepster dudes who come into the gym and do you

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Speaker 1: know what I mean, And it's like they're just it's

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Speaker 1: clear that, you know, the twenty percent of their reason

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Speaker 1: to be there as for training and eighty percent is

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Speaker 1: for other things. So like the idea of girls being

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Speaker 1: I don't really care so much. I don't want it,

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Speaker 1: but it's not an issue. But yeah, like dudes being

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Speaker 1: able to film women and stuff just by putting on glasses,

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Speaker 1: that capacity should not be legal, like to be able

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Speaker 1: to just imagine you wearing those in the gym and

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Speaker 1: they're just filming everyone in the gym and then they

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Speaker 1: go home and download that and that's creepy as fuck.

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Speaker 2: Yeah, look, it's a real interesting one. As I said,

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Speaker 2: my blind friend has been using them, and you can

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Speaker 2: imagine for someone who's vision impaired, if you've got cameras

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Speaker 2: and smart glasses that are constantly looking at the world

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Speaker 2: around you, you could effectively go to the gym and

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Speaker 2: look at what the weights are that you've set, You

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Speaker 2: could describe the area. You could make enable people a

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Speaker 2: lot more by using this technology. But of course it's

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Speaker 2: like anything. It means that you know this. We're constantly

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Speaker 2: being surveiled, and the question is where is that data going,

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Speaker 2: who's monitoring it? And another concern is that meta at

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Speaker 2: the company that makes a lot of the software and

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Speaker 2: is powering the these smart glasses, they have oversight and

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Speaker 2: they use humans for oversights, so AI is looking at

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Speaker 2: what you're seeing, but they take snippets of the recordings

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Speaker 2: and they use humans to be able to cross check

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Speaker 2: and match with AI to help make AI more accurate.

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Speaker 2: But these outsourced workers are now saying that they're capturing

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Speaker 2: people going to the toilet, having sex, looking at passwords

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Speaker 2: on their computer when they're typing stuff up. So the

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Speaker 2: problem is if you start wearing these and they're there

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Speaker 2: and they're part of your life all the time, everything

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Speaker 2: you see, potentially they see. And that's why I thought

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Speaker 2: this app is really good. It's a free app, and

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Speaker 2: what I liked about it as well is it's been

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Speaker 2: it's a guy who's kind of a Swiss psycho sociologist

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Speaker 2: and he's a hobbyist coder, so's he's a bit of

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Speaker 2: a nerd, and he invented the app. But what's really

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Speaker 2: interesting is anytime you're wearing these smart glasses, they basically

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Speaker 2: the app listens for a Bluetooth signal, and the Bluetooth

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Speaker 2: signal basically has these data packets that fly forward and

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Speaker 2: back to tell other devices what they are and what

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Speaker 2: they're doing. So the way, so your phone knows to

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Speaker 2: connect to the smart glasses because of the signal between them,

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Speaker 2: and that's what this app is looking for because I've

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Speaker 2: got a VR headset, and my VR headset uses the

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Speaker 2: same sort of data packets. So as soon as I

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Speaker 2: turned the VR headset on, my phone pinged to tell

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Speaker 2: me that there was a recordable device or a smart

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Speaker 2: device that was being used within my vicinity, so I

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Speaker 2: could see that people would probably have them in the gym.

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Speaker 2: You know, it's a free app. It's great.

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Speaker 1: I thought it was fantastic. I wonder what you'd do

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Speaker 1: with that, though. Let's say you've got it on and

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Speaker 1: you're in the gym and at pings. What do you

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Speaker 1: do then? Do you go up to the person that

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Speaker 1: you because there might be ten people in the gym

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Speaker 1: with glasses on? Do you go up to the person

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Speaker 1: that you suspect and go e? Or do you just

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Speaker 1: avoid that? Like? It's good, Like I think it's a

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Speaker 1: great idea. And my question is and then what.

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Speaker 2: Well, then you be you're more conscious of what you

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Speaker 2: say and do and how you present yourself, because the

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Speaker 2: thing is, if you're at a public place, for example, it's.

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Speaker 1: No hang on, hang on, hang on, hang on? Why

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Speaker 1: the fuck do I need to be more conscious of

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Speaker 1: what I say and do and how I present myself?

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Speaker 1: Because some fucking idiots wearing PERV glasses. I shouldn't have

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Speaker 1: to adapt. They should fuck off, like you're no, no, no,

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Speaker 1: But if you're hang on, hang on, I know you're

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Speaker 1: a chatty kathy. Let me have a go, right, Like

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Speaker 1: if I have to change because some blokes wearing glasses,

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Speaker 1: that's not right, Like they shouldn't control the dynamics of

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Speaker 1: that space. They shouldn't be allowed to wear those. If

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Speaker 1: it has the capacity to record people who haven't consented

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Speaker 1: to that, that I don't think that should be legal.

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Speaker 1: And because that is what's happening, because they're recording people

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Speaker 1: who have not consented to it, Like, how is that okay?

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Speaker 2: It's not okay, And that's my point. And gyms need

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Speaker 2: to have hard policies. So basically what you should be

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Speaker 2: doing is going to the person who owns the gym

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Speaker 2: and saying, well, maybe our policy should be anybody who

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Speaker 2: is accessing the gym is not allowed to use any

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Speaker 2: sort of recording device, and that you do. So I

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Speaker 2: think it's incumbent on the venue to start to enforce that,

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Speaker 2: because the thing is you don't want it to become

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Speaker 2: the Spanish inquisition either. Imagine if you suddenly, you know,

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Speaker 2: muscled up to some bloke and you find out, well,

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Speaker 2: actually he's blind and he needs them, or they just

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Speaker 2: have verything.

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Speaker 1: I think that's going to be evident. I don't think

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Speaker 1: anyone's that fucking stupid you think. And I just say,

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Speaker 1: my friend Tony Doherty of Doughty's Gyms, the world famous

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Speaker 1: Doughty Gyms, he he doesn't let people take because what's

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Speaker 1: probably not in the land, but in a lot of

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Speaker 1: gyms in Melbourne, people are constantly filming, constantly videoing and

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Speaker 1: even taking in many of them tripods, So they're setting

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Speaker 1: up try oh like a fucking studio. They're setting up

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Speaker 1: iPods and filming themselves, but obviously they're capturing everyone who's

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Speaker 1: in behind them, and he's just he's just he's like,

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Speaker 1: fucks them off and he either kicks them out or

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Speaker 1: he just tells them they can't do it. So there's

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Speaker 1: no I don't know if there's Yeah, I think I'm

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Speaker 1: pretty sure there's no videoing in his gyms at all.

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Speaker 1: So who won't be putting up with these glasses? Is

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Speaker 1: a big time good.

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Speaker 2: On your tone? Yeah, the one thing that is the reality, unfortunately,

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Speaker 2: not unfortunately, but in Australia, if you are in a

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Speaker 2: public space, if you're walking down the street, if you're

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Speaker 2: at a local festival, it legal too. You can take

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Speaker 2: photographs of total strangers. It's creepy. I'm not saying that

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Speaker 2: it's a good thing, but there is no law to

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Speaker 2: say that you can't be filming or taking photos or

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Speaker 2: recording video space. But when you're in a venue where

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Speaker 2: there's a membership and you can control that, that's again

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Speaker 2: where I'd be pushing for the owners of the gyms,

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Speaker 2: and that's what i'd be doing. I'd be approaching and saying,

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Speaker 2: you know, all the gym attendant and say, I'm not

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Speaker 2: feeling comfortable as someone around here who's wearing the smart glasses.

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Speaker 2: I wouldn't challenge someone directly. I would get one of

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Speaker 2: the attendants or the owners to challenge them. Yeah, good

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Speaker 2: luck with that.

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Speaker 1: Have you been in a gym lately? I want to

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Speaker 1: do two. So the next one I want to do

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Speaker 1: is which we've spoken about the potential impact of AI

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Speaker 1: on a lot of industries. I don't want to go

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Speaker 1: into AI much today other than this one, but I

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Speaker 1: find it interesting. So the third one on your list,

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Speaker 1: so AI generated film at Trotfest twenty twenty six, which

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Speaker 1: is a kind of a film festival, sparks filmmaker backlash.

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Speaker 1: I mean, the inevitability of AI films with no actual

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Speaker 1: actors is a foregone conclusion. I don't know what the

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Speaker 1: timeline is. It's probably Oh, I think it has already happened.

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Speaker 2: Tell us about So trop Fest is pretty exciting because

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Speaker 2: the festival, it's an Australian festival that's launched some amazing

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Speaker 2: careers because it's been around for a long time, but

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Speaker 2: COVID kind of pulled the pin on it, so it

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Speaker 2: hasn't been around for six years. So they have trop

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Speaker 2: Fest this year and one of the finalists was a

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Speaker 2: film called Sid Confidential. I watched it before the show.

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Speaker 2: I just thought, I figured I'll have a bit of

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Speaker 2: a watch to see what I think of it. It

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Speaker 2: was one of those kind of detective noir kind of

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Speaker 2: semi cartoon three D cartoons, so oh yeah, it was

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Speaker 2: an ark and stormy night and I was yeah, yeah,

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Speaker 2: guys over there, look I watched it.

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Speaker 1: It was Can I just say that's why you and

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Speaker 1: I are not actors?

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Speaker 2: It was Yeah, it was very terrible. It was moderately entertaining. Visually,

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Speaker 2: I kept seeing AI glitches, like at one point the

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Speaker 2: guy goes to jump on a tram and it says

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Speaker 2: Sydney on the tram at the front of the tram,

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Speaker 2: and then the frame flips and it says this garbled

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Speaker 2: junk or whatever. So there's little and it's fun to watch,

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Speaker 2: even to look for all the mistakes. It was. It

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Speaker 2: was entertaining. But I think the big argument from all

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Speaker 2: the filmmakers who spend hundreds and hundreds of hours mapping

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Speaker 2: out stories and then filming and editing and doing all

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Speaker 2: the work they do because trop Fest is very high standard,

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Speaker 2: and I think that's where people have, you know, things

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Speaker 2: have come unstuck. There should be a separate category for AI,

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Speaker 2: and that's the way you get around it.

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Speaker 1: So category can I ask, So does it it looks

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Speaker 1: more cartoonish than real right.

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Speaker 2: Well in this instance because that was the style that

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Speaker 2: they were going for. I mean, you can go for

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Speaker 2: super ultra realistic, and you know, we've seen examples I

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Speaker 2: guess all over the internet with the likes of famous actors,

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Speaker 2: and you know, it's been phenomenal. The quality is unbelievably good.

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Speaker 2: But in this case, they've gone from a kind of

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Speaker 2: three dimensional cartoon representation. It was kind of fun. It

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Speaker 2: was a bit of a homage to to trop Fest

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Speaker 2: itself off. If you watch it, it only goes from

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Speaker 2: about fifteen minutes or so. So well, it was an

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Speaker 2: interesting watch. But I certainly wouldn't have shortlisted it because

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Speaker 2: I think that's a bit of a and a lot

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Speaker 2: of the you know, of all the seven hundred entriest

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Speaker 2: of all, why would you choose an AI over the

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Speaker 2: human made and sweat it over. I'm not to say

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Speaker 2: that the person who produced it didn't actually put some

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Speaker 2: effort into it, but as the majority of it was AI,

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Speaker 2: then you've got to ask yourself, you know, what's the standard.

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Speaker 2: We want to make sure that we keep that separate

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Speaker 2: from everyday average people who want to try to launch

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Speaker 2: a career or who're passionate about their hobby.

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Speaker 1: Do you have Netflix? You probably don't or do you? Yeah?

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Speaker 2: I just don't watch it. I keep thinking I should

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Speaker 2: just cancel my membership.

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Speaker 1: Before you do. There's a little like I never you know,

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Speaker 1: those short films that day like you're just talking about,

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Speaker 1: but that like this thing came up the other day.

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Speaker 1: I went to bed and I normally go, I'm going

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Speaker 1: to watch whatever, and then seven minutes later, I'm a

432
00:23:57,520 --> 00:24:02,320
Speaker 1: sleeper by cup at two and what's that and Robots? No,

433
00:24:02,520 --> 00:24:07,600
Speaker 1: it's called The Singers. Okay, the Singers and it goes

434
00:24:07,640 --> 00:24:10,520
Speaker 1: for I think eighteen minutes and it's not on Netflix,

435
00:24:11,440 --> 00:24:13,960
Speaker 1: and I'd like you to watch it and then message

436
00:24:13,960 --> 00:24:17,919
Speaker 1: me and any of our listeners too. I watched it

437
00:24:17,960 --> 00:24:21,560
Speaker 1: and I'm like, I kind of loved it and hated it,

438
00:24:21,640 --> 00:24:26,160
Speaker 1: and I'm like, it's very different. Don't look it up now?

439
00:24:26,440 --> 00:24:29,000
Speaker 2: No, No, I was actually looking up Love Death and Robots,

440
00:24:29,080 --> 00:24:31,720
Speaker 2: which is something I think you should watch. So I'll

441
00:24:31,760 --> 00:24:35,440
Speaker 2: watch The Singers and you watch Okay, how.

442
00:24:35,280 --> 00:24:37,160
Speaker 1: Long does Love Death and Robots go? For?

443
00:24:37,359 --> 00:24:41,160
Speaker 2: The little clips? They're all little mini video clips, different things.

444
00:24:42,560 --> 00:24:44,360
Speaker 2: Where do I get that Netflix as well?

445
00:24:44,760 --> 00:24:47,840
Speaker 1: Okay, all right, now I want to jump ship and

446
00:24:47,920 --> 00:24:51,040
Speaker 1: talk about something that's more in my lane your car

447
00:24:51,920 --> 00:24:55,280
Speaker 1: not really? Yeah, well, but you know what's interesting is

448
00:24:55,320 --> 00:24:57,719
Speaker 1: by D, which I'm sure most of our listeners know

449
00:24:57,760 --> 00:25:00,399
Speaker 1: by now as a Chinese brand, and it's so funny

450
00:25:00,440 --> 00:25:03,840
Speaker 1: the psychology and the kind of the I guess, the

451
00:25:03,920 --> 00:25:09,560
Speaker 1: feeling attitude that people have about Chinese cars are shifting

452
00:25:09,640 --> 00:25:11,480
Speaker 1: because you know, there was a point in time when

453
00:25:11,520 --> 00:25:15,160
Speaker 1: the Chinese cars in Australia were very agricultural and very

454
00:25:15,200 --> 00:25:17,320
Speaker 1: low quality. But that is definitely not the case. And

455
00:25:17,359 --> 00:25:20,240
Speaker 1: I'm not endorsing or supporting. I'm just saying, what is

456
00:25:20,280 --> 00:25:22,359
Speaker 1: a few my cars? A few my cars, few my

457
00:25:22,400 --> 00:25:26,440
Speaker 1: friends have got Chinese cars, and some of them are

458
00:25:26,560 --> 00:25:31,159
Speaker 1: fucking amazing. But anyway, anyway, b y D has just

459
00:25:31,280 --> 00:25:36,240
Speaker 1: produced the world's longest range EV with a monster six

460
00:25:36,320 --> 00:25:38,360
Speaker 1: hundred and forty four miles, which is given or take

461
00:25:38,400 --> 00:25:41,320
Speaker 1: a thousand case between charges.

462
00:25:42,359 --> 00:25:42,520
Speaker 2: One.

463
00:25:42,880 --> 00:25:44,399
Speaker 1: That's a that's a game changer.

464
00:25:44,880 --> 00:25:48,240
Speaker 2: That's massive because it is has been a big factor

465
00:25:48,240 --> 00:25:51,760
Speaker 2: in Australia. Range anxiety is a big thing for a

466
00:25:51,800 --> 00:25:53,720
Speaker 2: lot of people, and if you particularly live in a

467
00:25:53,800 --> 00:25:57,000
Speaker 2: rural area. I know when I bought my car that

468
00:25:57,280 --> 00:26:01,679
Speaker 2: I did the hybrid version, but the battery powered the

469
00:26:01,720 --> 00:26:05,639
Speaker 2: EV version was only two kilometers and to me, living

470
00:26:06,080 --> 00:26:08,280
Speaker 2: an hour from Melbourne, I thought a two hundred ks

471
00:26:08,359 --> 00:26:12,840
Speaker 2: is not a lot. So you know, a thousand kilometers, Wow,

472
00:26:12,920 --> 00:26:14,639
Speaker 2: that's that's amazing. You know you're driving.

473
00:26:16,119 --> 00:26:18,399
Speaker 1: That's definitely a game changer. So it'll be interesting to

474
00:26:18,400 --> 00:26:19,399
Speaker 1: see how that goes.

475
00:26:20,480 --> 00:26:24,120
Speaker 2: It's called the Z nine GT if anybody's interested, because

476
00:26:24,119 --> 00:26:26,520
Speaker 2: they have I didn't realize this, but by D has

477
00:26:26,560 --> 00:26:30,560
Speaker 2: a luxury brand as well, called Denza, So it's this brand. Yah,

478
00:26:30,560 --> 00:26:32,880
Speaker 2: I didn't realize. It's like Lexus and Toyota, isn't it?

479
00:26:34,320 --> 00:26:40,480
Speaker 1: Yes, so exactly, and hid I have one what's it

480
00:26:40,520 --> 00:26:47,360
Speaker 1: called Genesis? Yeah? They have Genesis, which is where's now?

481
00:26:47,400 --> 00:26:49,600
Speaker 1: I've now, I've lost all your notes. There we are

482
00:26:49,720 --> 00:26:54,400
Speaker 1: now I'm back. But will your next car be an EV?

483
00:26:55,840 --> 00:26:59,520
Speaker 2: Probably will be. I would think I have solar power,

484
00:26:59,560 --> 00:27:01,320
Speaker 2: and I all think that if I could use my

485
00:27:01,400 --> 00:27:03,520
Speaker 2: soul that to charge the car during the day, all

486
00:27:03,560 --> 00:27:06,040
Speaker 2: that sort of stuff. But I think I haven't got

487
00:27:06,240 --> 00:27:09,560
Speaker 2: soular batteries. I haven't got batteries rather for my solar

488
00:27:09,600 --> 00:27:11,520
Speaker 2: system yet. And I know there's a government initiative at

489
00:27:11,560 --> 00:27:14,840
Speaker 2: the moment. But there are a small number of EV

490
00:27:15,119 --> 00:27:19,240
Speaker 2: cars that can be used in reverse to power the

491
00:27:19,280 --> 00:27:21,879
Speaker 2: house if the power goes out. So I think the

492
00:27:22,000 --> 00:27:26,560
Speaker 2: Nissan Leaf is one of those. So I can't remember

493
00:27:26,560 --> 00:27:29,760
Speaker 2: the technical term, but basically you plug it in, but

494
00:27:29,840 --> 00:27:31,960
Speaker 2: if the power drops, it acts as a battery. Because

495
00:27:32,000 --> 00:27:34,600
Speaker 2: the cars, the batteries in cars are a lot more

496
00:27:34,600 --> 00:27:37,960
Speaker 2: powerful than the batteries that people get to power their

497
00:27:37,960 --> 00:27:39,320
Speaker 2: houses for the most part.

498
00:27:40,119 --> 00:27:44,679
Speaker 1: Yeah, well, there's a huge demand on those batteries propelling

499
00:27:44,720 --> 00:27:47,800
Speaker 1: a two ton vehicle out one hundred kilometers an hour

500
00:27:47,840 --> 00:27:51,280
Speaker 1: for extended periods of time on a highway. What does

501
00:27:51,400 --> 00:27:56,560
Speaker 1: fake content of occupation is not educational? What does that mean?

502
00:27:56,640 --> 00:28:02,560
Speaker 1: I don't even know what that means. Fake content of occupational? Yeah,

503
00:28:02,680 --> 00:28:03,160
Speaker 1: what is that?

504
00:28:03,920 --> 00:28:08,080
Speaker 2: So? Yeah, the occupation of Are you familiar with the

505
00:28:08,080 --> 00:28:12,120
Speaker 2: little island of Guernsey off Yes? Yeah, okay, so it's

506
00:28:12,440 --> 00:28:14,959
Speaker 2: kind of closer to I think it's closer to France

507
00:28:14,960 --> 00:28:17,840
Speaker 2: than it is to the UK. But it's the furthest

508
00:28:17,920 --> 00:28:22,879
Speaker 2: most you know, island of the group of UK islands.

509
00:28:23,240 --> 00:28:25,680
Speaker 2: And it wasated by so it was German. It was

510
00:28:25,720 --> 00:28:30,480
Speaker 2: occupied by German troops in nineteen forty or so. And

511
00:28:31,359 --> 00:28:34,399
Speaker 2: what's been happening is a lot of people have been

512
00:28:34,480 --> 00:28:41,280
Speaker 2: uploading photos of the occupation but they're ai generated, right.

513
00:28:41,560 --> 00:28:44,240
Speaker 2: Historian has come out and said, you know, because people

514
00:28:44,240 --> 00:28:47,160
Speaker 2: are trying to get clicks, so they're looking to make

515
00:28:47,280 --> 00:28:50,920
Speaker 2: you know, sensationalist photos or they're animating photos. So you've

516
00:28:50,960 --> 00:28:53,720
Speaker 2: got a still image of troops and then you animate

517
00:28:53,760 --> 00:28:56,120
Speaker 2: it and that's the soldiers walking down the street. But

518
00:28:56,160 --> 00:28:58,760
Speaker 2: it's not historically accurate. And that's this is a real

519
00:28:58,800 --> 00:29:03,200
Speaker 2: concern because there's this professor of it's actually an interesting title,

520
00:29:03,520 --> 00:29:09,160
Speaker 2: Professor of Conflict Archaeology and Holocaust Heritage at the University

521
00:29:09,200 --> 00:29:12,480
Speaker 2: of Cambridge. His name is doctor Gillie Carr, and he

522
00:29:12,520 --> 00:29:16,560
Speaker 2: says this has really become troubling because the occupation in

523
00:29:16,600 --> 00:29:18,560
Speaker 2: particular is the one that he highlighted, and he said,

524
00:29:18,600 --> 00:29:22,280
Speaker 2: there's lots of AI generated images and they're being shared

525
00:29:22,360 --> 00:29:25,200
Speaker 2: on social media all the time because there's been a

526
00:29:25,240 --> 00:29:29,760
Speaker 2: real resurgence in interest in the World War and what

527
00:29:30,200 --> 00:29:33,920
Speaker 2: happened there. And he's saying, well, the problem is none

528
00:29:33,960 --> 00:29:37,120
Speaker 2: of us is actually accurate. It's not scientifically, it's not

529
00:29:37,640 --> 00:29:40,760
Speaker 2: historically accurate. And this is the concern and this is

530
00:29:40,800 --> 00:29:45,000
Speaker 2: going to be you know, a worrisome for us moving forward,

531
00:29:45,320 --> 00:29:49,440
Speaker 2: whether you're flicking through your reels on YouTube or Instagram

532
00:29:50,000 --> 00:29:52,960
Speaker 2: and what's real and what isn't real And.

533
00:29:54,200 --> 00:29:57,280
Speaker 1: That's already happening, like because a lot of my shit

534
00:29:57,440 --> 00:29:59,640
Speaker 1: is research based where it's just because a lot of

535
00:29:59,680 --> 00:30:03,920
Speaker 1: my fear his nutrition and training and science. And then

536
00:30:04,120 --> 00:30:08,080
Speaker 1: it's like, oh, groundbreaking research reveals and it's like from

537
00:30:08,240 --> 00:30:12,360
Speaker 1: science blah blah, and it's it looks one hundred percent

538
00:30:12,520 --> 00:30:18,680
Speaker 1: legit and it's complete fiction. Like it's just it's it's

539
00:30:18,680 --> 00:30:22,960
Speaker 1: a total fiction created to get clicks and numbers. And

540
00:30:23,000 --> 00:30:27,240
Speaker 1: then you I saw Jordan Peterson, who we all know

541
00:30:27,280 --> 00:30:30,160
Speaker 1: who he is anyway, he said that there was some

542
00:30:30,320 --> 00:30:31,960
Speaker 1: quote from him. There's a picture of him in a

543
00:30:32,040 --> 00:30:35,440
Speaker 1: chair on a stage making some profound fucking thing. I'm like, what,

544
00:30:36,560 --> 00:30:41,280
Speaker 1: And I chucked it into Claude or chat Jo, but

545
00:30:41,400 --> 00:30:43,400
Speaker 1: I'm like, is this legit? And they're like, nah, he

546
00:30:43,520 --> 00:30:46,400
Speaker 1: never said that. That's not true. That's a complete fabrication.

547
00:30:46,560 --> 00:30:50,200
Speaker 1: And I'm like, that's the thing. You don't you don't know,

548
00:30:50,640 --> 00:30:54,760
Speaker 1: and you also, I think you have to. Like I

549
00:30:54,840 --> 00:30:58,200
Speaker 1: put up a post before on Insta and it's like

550
00:30:58,360 --> 00:31:01,200
Speaker 1: there's a sentence that's you know when people go are

551
00:31:01,240 --> 00:31:04,120
Speaker 1: the best way to get in shape is? And I wrote,

552
00:31:04,880 --> 00:31:07,560
Speaker 1: so I put that as a standaline sentence in quotation marks,

553
00:31:07,560 --> 00:31:10,080
Speaker 1: and I wrote after that, whatever comes next is bullshit,

554
00:31:10,720 --> 00:31:14,960
Speaker 1: because there is no best way for all these different

555
00:31:15,040 --> 00:31:19,440
Speaker 1: bodies and people with different backgrounds and genetics and ages

556
00:31:19,480 --> 00:31:24,239
Speaker 1: and injuries and medical challenges, and you know, there's no

557
00:31:24,400 --> 00:31:27,240
Speaker 1: best program but people all the time. Again, this is

558
00:31:27,280 --> 00:31:29,880
Speaker 1: the best way to do this. No, it's not because

559
00:31:29,920 --> 00:31:32,760
Speaker 1: you go the best way for who, the best way

560
00:31:32,800 --> 00:31:35,640
Speaker 1: for Patrick or Craig or my mum or the thirty

561
00:31:35,680 --> 00:31:40,160
Speaker 1: year old elite athlete or Yeah. So I think I

562
00:31:40,200 --> 00:31:42,640
Speaker 1: think it's getting worse and worse, and I think it's

563
00:31:42,680 --> 00:31:45,440
Speaker 1: going to be well with some stuff anyway, and that

564
00:31:46,800 --> 00:31:50,440
Speaker 1: you know that instagramy, Facebook y, you know, when stuff's

565
00:31:50,480 --> 00:31:53,960
Speaker 1: getting pumped out, which is allegedly some information source. I

566
00:31:54,000 --> 00:31:56,680
Speaker 1: think most of it isn't. I think most of it

567
00:31:56,720 --> 00:32:01,000
Speaker 1: is now somewhere between somewhat accurate and complete bullshit.

568
00:32:01,600 --> 00:32:03,680
Speaker 2: Yeah. I think more than fifty one percent of all

569
00:32:03,720 --> 00:32:07,720
Speaker 2: content now being generated on the internet video still the

570
00:32:07,720 --> 00:32:12,000
Speaker 2: whole lot, Yeah, AI generated, which is a frightening thought.

571
00:32:12,440 --> 00:32:14,920
Speaker 2: I mean, it's not a useful tool, but it also

572
00:32:15,040 --> 00:32:18,880
Speaker 2: means I worry about election time. You know what happened.

573
00:32:18,920 --> 00:32:21,840
Speaker 2: That's election time, by the way. Not going back to

574
00:32:21,840 --> 00:32:22,520
Speaker 2: our first topic.

575
00:32:23,560 --> 00:32:26,600
Speaker 1: When we have a state that's with an E, not

576
00:32:26,680 --> 00:32:29,320
Speaker 1: an L, not an R. Yeah, when we have.

577
00:32:29,280 --> 00:32:33,240
Speaker 2: A state or federal election. How do we know that

578
00:32:33,280 --> 00:32:36,920
Speaker 2: the video we're seeing isn't propaganda that's been generated by AI.

579
00:32:37,400 --> 00:32:40,640
Speaker 2: We know that that's been influence heavily influenced in previous

580
00:32:40,680 --> 00:32:44,880
Speaker 2: elections in other countries. Yes, as you say, you can

581
00:32:44,920 --> 00:32:48,160
Speaker 2: fake it so well now. And if you're in one

582
00:32:48,160 --> 00:32:52,040
Speaker 2: of those blinker visions where your algorithm is pulling up

583
00:32:52,040 --> 00:32:56,760
Speaker 2: far left, far right, middle middle, but someone's going for

584
00:32:56,840 --> 00:33:01,240
Speaker 2: clicks and they're looking for propaganda, it's getting really difficult

585
00:33:01,320 --> 00:33:06,080
Speaker 2: to know what's right and what's not right. And we're

586
00:33:06,120 --> 00:33:09,360
Speaker 2: all being challenged to try to work out, you know,

587
00:33:09,840 --> 00:33:12,720
Speaker 2: whether we jump one way or the other. And I

588
00:33:12,720 --> 00:33:14,320
Speaker 2: don't know is there going to be a pushback. I

589
00:33:14,320 --> 00:33:16,840
Speaker 2: mean it's certainly with a lot of younger people. I

590
00:33:16,880 --> 00:33:19,680
Speaker 2: see people wearing headphones with cables on them. Now they're

591
00:33:19,680 --> 00:33:21,760
Speaker 2: not wearing you know, yeah, yeah bones.

592
00:33:22,520 --> 00:33:25,800
Speaker 1: I bought some the other day because yeah, I'm like,

593
00:33:26,120 --> 00:33:28,840
Speaker 1: I'm not sure. And I also think another thing, Mate,

594
00:33:29,040 --> 00:33:34,719
Speaker 1: is just the gap between what is happening in well,

595
00:33:34,800 --> 00:33:38,480
Speaker 1: let's stay in this space, but in AI and social

596
00:33:38,520 --> 00:33:42,360
Speaker 1: media and the stuff that's being because everything on social

597
00:33:42,400 --> 00:33:45,520
Speaker 1: media is with one objective or a couple, but the

598
00:33:45,560 --> 00:33:48,080
Speaker 1: immediate objective is to get your attention and keep your

599
00:33:48,080 --> 00:33:51,560
Speaker 1: attention for as long as possible. And then I think

600
00:33:51,600 --> 00:33:56,080
Speaker 1: the gap between people's actual understanding of what's going on

601
00:33:56,240 --> 00:34:00,200
Speaker 1: and what's actually going on, you know, this awareness around

602
00:34:00,240 --> 00:34:04,520
Speaker 1: like every time I look at something, unless it's literally

603
00:34:04,840 --> 00:34:06,800
Speaker 1: a you know, I see something that you put up

604
00:34:06,840 --> 00:34:08,640
Speaker 1: on social media, well, I go, well, that's him, and

605
00:34:08,640 --> 00:34:11,600
Speaker 1: that's Brits and that's the fucking that's his morning, you know,

606
00:34:11,680 --> 00:34:13,880
Speaker 1: I know, but most things, I'm like, I don't know

607
00:34:13,880 --> 00:34:16,520
Speaker 1: if this is true, even if it looks true, and

608
00:34:16,560 --> 00:34:20,480
Speaker 1: I think trying to understand. I think I spoke to

609
00:34:20,520 --> 00:34:24,160
Speaker 1: Melissa earlier and I said, when I'm finished my current study,

610
00:34:24,920 --> 00:34:27,440
Speaker 1: even though I don't really I'm not excited about it,

611
00:34:27,480 --> 00:34:29,600
Speaker 1: but I feel like I need to do a little

612
00:34:29,680 --> 00:34:32,680
Speaker 1: bit of a Craig version of a deep dive into AI,

613
00:34:33,760 --> 00:34:36,839
Speaker 1: just so that I can start to speak the language.

614
00:34:37,400 --> 00:34:39,200
Speaker 1: You know, there ain't too many sixty year olds that

615
00:34:39,239 --> 00:34:42,200
Speaker 1: are all over AI and understandably, or fifty or forty

616
00:34:42,280 --> 00:34:44,040
Speaker 1: year olds for that matter. But I don't want to

617
00:34:44,080 --> 00:34:45,719
Speaker 1: get to the point where I don't understand what the

618
00:34:45,719 --> 00:34:48,840
Speaker 1: fuck's going on, and so I want to become not

619
00:34:48,920 --> 00:34:51,120
Speaker 1: because I want to become a coder or write this

620
00:34:51,239 --> 00:34:53,880
Speaker 1: or that or you know, but I just want to

621
00:34:54,000 --> 00:34:57,520
Speaker 1: understand what is possible, what is happening, what is real?

622
00:34:57,600 --> 00:35:01,920
Speaker 1: What is bullshit? Of course, how do I take advantage

623
00:35:01,960 --> 00:35:06,839
Speaker 1: of in an intelligent way? How do I take advantage

624
00:35:06,880 --> 00:35:10,960
Speaker 1: of what's possible and available for my business and for

625
00:35:11,080 --> 00:35:14,919
Speaker 1: my career? And like, you can go the super long way,

626
00:35:15,000 --> 00:35:17,640
Speaker 1: or you can get the same outcome like I can.

627
00:35:18,400 --> 00:35:21,880
Speaker 1: I can literally get AI to check my entire paper

628
00:35:21,920 --> 00:35:23,800
Speaker 1: that I wrote that took a year and a half.

629
00:35:23,960 --> 00:35:26,200
Speaker 1: It can check it. I'm not talking about rewrite it

630
00:35:26,320 --> 00:35:29,560
Speaker 1: or change it. I'm just find any mistakes in three

631
00:35:29,600 --> 00:35:32,239
Speaker 1: minutes that would take me half a day of sitting

632
00:35:32,320 --> 00:35:35,720
Speaker 1: and reading. Why wouldn't you do that? Like find the mistakes,

633
00:35:35,760 --> 00:35:38,440
Speaker 1: find them grammatical? Is there too much repetition? What does

634
00:35:38,480 --> 00:35:42,880
Speaker 1: it flow? You know? And that's not using AI to

635
00:35:43,640 --> 00:35:47,160
Speaker 1: you know, obviously all my workers self generated because I

636
00:35:47,239 --> 00:35:49,920
Speaker 1: ran independent studies and collected all the data. But for

637
00:35:50,000 --> 00:35:52,799
Speaker 1: things like that, and even I mean, I know this

638
00:35:52,880 --> 00:35:56,560
Speaker 1: is a very low level use based on what's actually possible. Now,

639
00:35:56,600 --> 00:36:00,560
Speaker 1: but the idea that I'm not going to inter or

640
00:36:00,600 --> 00:36:05,439
Speaker 1: interact with AI as some people like fuck AI. I'm like, yeah,

641
00:36:05,480 --> 00:36:07,480
Speaker 1: good luck with that. You're not. It's going to be

642
00:36:07,520 --> 00:36:09,560
Speaker 1: in your life whether or not you want it, So

643
00:36:09,600 --> 00:36:11,480
Speaker 1: you might need to get a little bit kind of

644
00:36:12,960 --> 00:36:17,560
Speaker 1: you know, aware, and what's the word being able to

645
00:36:18,080 --> 00:36:19,480
Speaker 1: speak the language somewhat?

646
00:36:19,840 --> 00:36:23,319
Speaker 2: Yeah, I think understanding the lingo is really important. But

647
00:36:23,719 --> 00:36:25,839
Speaker 2: at what point do we deep dive to the point

648
00:36:25,880 --> 00:36:29,280
Speaker 2: where you know, I don't know exactly how my phone works,

649
00:36:29,920 --> 00:36:33,080
Speaker 2: but I use it every day, and you know, there's

650
00:36:33,080 --> 00:36:34,640
Speaker 2: only so many things you can do. But I think

651
00:36:34,640 --> 00:36:37,080
Speaker 2: from a safety perspective, or at least from a you know,

652
00:36:37,480 --> 00:36:40,720
Speaker 2: keeping yourself informed, knowing more about AI is really important.

653
00:36:40,880 --> 00:36:43,600
Speaker 2: I did a little interesting exercise the other day with

654
00:36:44,000 --> 00:36:46,440
Speaker 2: che chpt I just I threw a lot of my

655
00:36:46,520 --> 00:36:50,600
Speaker 2: financial information in there about how much money I had,

656
00:36:50,640 --> 00:36:53,600
Speaker 2: what my superannuation was currently at, you know, what my

657
00:36:53,680 --> 00:36:56,719
Speaker 2: cash flow was, and I had a really interesting conversation,

658
00:36:56,920 --> 00:37:00,000
Speaker 2: you know, theoretical of when could I retire, how much

659
00:37:00,080 --> 00:37:03,680
Speaker 2: what I need? But it was pulling in data from

660
00:37:04,320 --> 00:37:07,759
Speaker 2: the Australian government website looking at pensions what you could

661
00:37:07,760 --> 00:37:10,600
Speaker 2: do to supplement that if you were self funded retiree.

662
00:37:10,680 --> 00:37:13,759
Speaker 2: It was really interesting because it was drawing all the

663
00:37:13,800 --> 00:37:16,560
Speaker 2: sources from the internet that were government related, so the

664
00:37:16,800 --> 00:37:20,080
Speaker 2: information really seemed quite accurate. You know, you could do

665
00:37:20,120 --> 00:37:22,319
Speaker 2: this and then you could supplement your pension by doing this,

666
00:37:22,400 --> 00:37:25,080
Speaker 2: and if you have this much, it was phenomenal. You know,

667
00:37:25,200 --> 00:37:28,920
Speaker 2: you have a conversation after conversation with a financial advisor.

668
00:37:28,960 --> 00:37:31,920
Speaker 2: I'm not suggesting that you exclusively go to AI as

669
00:37:31,920 --> 00:37:36,080
Speaker 2: a financial advisor, but as a starting point, it's great.

670
00:37:36,120 --> 00:37:37,360
Speaker 2: It's an amazing tool.

671
00:37:38,640 --> 00:37:42,239
Speaker 1: I Yeah, I think that too. I think I think

672
00:37:42,920 --> 00:37:46,080
Speaker 1: I was talking to somebody the other day about just

673
00:37:46,080 --> 00:37:48,480
Speaker 1: a little They asked me something, and it's like we

674
00:37:48,480 --> 00:37:52,360
Speaker 1: were talking about how when they get emotional, they can't

675
00:37:52,400 --> 00:37:56,280
Speaker 1: think clearly, they don't make great decisions, you know, they

676
00:37:56,360 --> 00:37:59,839
Speaker 1: don't respond well in all of that. And anyway, I

677
00:37:59,880 --> 00:38:03,360
Speaker 1: was trying to explain on a pretty basic level. So

678
00:38:03,440 --> 00:38:06,480
Speaker 1: bits of your brains do different things. You've got this

679
00:38:06,560 --> 00:38:09,480
Speaker 1: thing called an amigdela, which is like the emotional epicenter

680
00:38:09,520 --> 00:38:12,080
Speaker 1: of your brain. You've got a thing called a prefrontal

681
00:38:12,120 --> 00:38:14,279
Speaker 1: cortex which makes decisions. All of that, and I go

682
00:38:14,400 --> 00:38:19,160
Speaker 1: sometimes that bit overtakes that bit and like, how do

683
00:38:19,200 --> 00:38:21,319
Speaker 1: you how do you know this? I goble, I study it,

684
00:38:21,360 --> 00:38:23,520
Speaker 1: but I go, do you know what? You could literally

685
00:38:23,560 --> 00:38:28,000
Speaker 1: go into chat GPT and go break down the bits

686
00:38:28,040 --> 00:38:30,279
Speaker 1: of the brain, like what are they called and what

687
00:38:30,320 --> 00:38:33,960
Speaker 1: do they do? You know? And it's I came back

688
00:38:34,000 --> 00:38:35,440
Speaker 1: and I thought, how does that?

689
00:38:35,719 --> 00:38:35,799
Speaker 2: Like?

690
00:38:36,440 --> 00:38:38,439
Speaker 1: Was that a good idea? And I said, literally, tell

691
00:38:38,480 --> 00:38:41,719
Speaker 1: me all the main bits because there's a fucking lot,

692
00:38:41,760 --> 00:38:44,239
Speaker 1: but the main bits of the brain and what those

693
00:38:44,239 --> 00:38:46,840
Speaker 1: bits of the brain do for us. And it's really

694
00:38:47,440 --> 00:38:50,600
Speaker 1: like people could learn a basic understanding of how their

695
00:38:50,600 --> 00:38:52,799
Speaker 1: brain works, or at least what the bits of their

696
00:38:52,840 --> 00:38:56,200
Speaker 1: brain do in an hour if they want, and you know,

697
00:38:56,320 --> 00:38:59,919
Speaker 1: take it's like, it is so incredible what's available now

698
00:39:00,120 --> 00:39:03,600
Speaker 1: and how help Like that's just a real practical use.

699
00:39:03,719 --> 00:39:06,160
Speaker 1: It's not steering you in a direction, it's giving you

700
00:39:06,520 --> 00:39:09,000
Speaker 1: and the stuff that it spewed out. And I wrote,

701
00:39:09,520 --> 00:39:12,560
Speaker 1: you know, basically word it so that it's it's user

702
00:39:12,600 --> 00:39:14,800
Speaker 1: friendly for a lay person, and it was brilliant.

703
00:39:15,360 --> 00:39:18,160
Speaker 2: Yeah, yeah, treat me like I'm you know, a year

704
00:39:18,200 --> 00:39:23,240
Speaker 2: seven student, or treat me like yeah. I used another

705
00:39:23,280 --> 00:39:26,279
Speaker 2: little interesting use. I had an awkward situation with a

706
00:39:26,280 --> 00:39:30,880
Speaker 2: colleague slash friend and I had to send an email,

707
00:39:31,360 --> 00:39:35,000
Speaker 2: but I had to word it delicately because I didn't

708
00:39:35,080 --> 00:39:37,880
Speaker 2: want it to be one of those email trails where

709
00:39:37,920 --> 00:39:39,799
Speaker 2: I said this, then you said that, and I said

710
00:39:40,400 --> 00:39:43,080
Speaker 2: said that. So I asked chat GPT. I want to

711
00:39:43,120 --> 00:39:45,040
Speaker 2: send this. I don't want to offend the person, but

712
00:39:45,120 --> 00:39:47,120
Speaker 2: I also want to shut down the conversation so it

713
00:39:47,120 --> 00:39:50,480
Speaker 2: doesn't go any further. And it was great advice.

714
00:39:50,880 --> 00:39:52,560
Speaker 1: Really, this is really good.

715
00:39:52,680 --> 00:39:55,360
Speaker 2: Yeah, because I, you know, I don't want to offend people,

716
00:39:55,400 --> 00:39:58,400
Speaker 2: and I find that you know, not that I'm overtly

717
00:39:58,440 --> 00:40:00,440
Speaker 2: a people pleaser, but I think that you and I

718
00:40:00,480 --> 00:40:02,920
Speaker 2: are very similar in that way. You know, we like

719
00:40:03,040 --> 00:40:06,680
Speaker 2: to be liked. And so I really wanted to handle

720
00:40:06,719 --> 00:40:09,200
Speaker 2: this delicately, but I just didn't. I kept rewriting the

721
00:40:09,239 --> 00:40:12,080
Speaker 2: same email. I rewrote it, and rewrote it, and rewrote it.

722
00:40:12,120 --> 00:40:14,920
Speaker 2: And look at a quick tip for all you email

723
00:40:15,320 --> 00:40:17,239
Speaker 2: people out there who want to send an email and

724
00:40:17,280 --> 00:40:20,080
Speaker 2: they're a bit angry or they're a bit emotional, don't

725
00:40:20,120 --> 00:40:24,560
Speaker 2: put the person's name in the two yet. Write the

726
00:40:24,600 --> 00:40:27,160
Speaker 2: email first and then put the name in. That way,

727
00:40:27,200 --> 00:40:30,360
Speaker 2: you can't accidentally send it or write it in something else.

728
00:40:30,440 --> 00:40:33,600
Speaker 1: First, yeah, did you find it up?

729
00:40:33,880 --> 00:40:35,719
Speaker 2: No? No, No, I didn't. I didn't. I make sure

730
00:40:35,880 --> 00:40:38,640
Speaker 2: so even if i'm replying, when I hit the reply,

731
00:40:38,840 --> 00:40:42,200
Speaker 2: I take their email address out so I don't accidentally

732
00:40:42,400 --> 00:40:42,960
Speaker 2: send it.

733
00:40:43,640 --> 00:40:46,759
Speaker 1: But that is a really interesting thing because you think

734
00:40:46,800 --> 00:40:49,560
Speaker 1: about and this is heading a bit more into psych

735
00:40:49,640 --> 00:40:52,280
Speaker 1: and sociology, but still related to what we're talking about.

736
00:40:52,880 --> 00:40:56,279
Speaker 1: You know those those times when you just know you're

737
00:40:56,280 --> 00:40:59,839
Speaker 1: having a pointless conversation or you feel like with some

738
00:41:00,080 --> 00:41:02,920
Speaker 1: people and I'm not saying I'm never the problem. I

739
00:41:03,560 --> 00:41:07,120
Speaker 1: definitely am at times, but you're like, fuck this person.

740
00:41:07,239 --> 00:41:12,080
Speaker 1: I have had this conversation seventy three times and you

741
00:41:12,120 --> 00:41:15,359
Speaker 1: know it's like going or when you're in the middle

742
00:41:15,400 --> 00:41:17,040
Speaker 1: of it, you're like, God, I just want this to

743
00:41:17,160 --> 00:41:20,000
Speaker 1: end because you know it's not fixing or changing or

744
00:41:20,040 --> 00:41:22,319
Speaker 1: improving anything. What are you laughing at.

745
00:41:22,480 --> 00:41:25,360
Speaker 2: I'm laughing because I'm thinking about our podcasts.

746
00:41:27,160 --> 00:41:30,520
Speaker 1: This is this is fucking ground breaking. People love this shit,

747
00:41:31,280 --> 00:41:36,040
Speaker 1: both of them. Both of our listeners love this. Shout

748
00:41:36,080 --> 00:41:40,799
Speaker 1: out to Arnie Marget's all right, let's do you pick

749
00:41:40,840 --> 00:41:45,160
Speaker 1: another couple pick which my point is, well, I just

750
00:41:45,200 --> 00:41:47,839
Speaker 1: fucking said to you fucking stop picking on me. You're

751
00:41:47,880 --> 00:41:51,480
Speaker 1: a bully. You're a bully from Bland. My point is

752
00:41:51,920 --> 00:41:55,279
Speaker 1: that sometimes you like, there are these pointless, groundhole day

753
00:41:55,360 --> 00:41:59,520
Speaker 1: conversations that we keep kind of involving ourselves in rather

754
00:41:59,560 --> 00:42:02,680
Speaker 1: than going the last time I spoke to this person

755
00:42:02,719 --> 00:42:06,840
Speaker 1: about this thing, it didn't work, that was not fruitful

756
00:42:06,920 --> 00:42:10,640
Speaker 1: or productive. So we either don't talk about it or

757
00:42:10,760 --> 00:42:13,720
Speaker 1: talk about it in a different way, you know, because

758
00:42:13,760 --> 00:42:17,040
Speaker 1: it's like I have wasted so much. I'll give you

759
00:42:17,120 --> 00:42:22,560
Speaker 1: an example. So, and I've had this at least thirty

760
00:42:22,600 --> 00:42:24,040
Speaker 1: I was going to say a hundred, not one hundred,

761
00:42:24,040 --> 00:42:26,959
Speaker 1: but at least thirty times with friends of mine where

762
00:42:26,960 --> 00:42:29,600
Speaker 1: they go, oh, I just want to pick your brain

763
00:42:29,640 --> 00:42:31,960
Speaker 1: for a minute. I just want to talk to you

764
00:42:31,960 --> 00:42:38,319
Speaker 1: about so food and I go, nah, nah, I go.

765
00:42:38,440 --> 00:42:40,680
Speaker 1: You and I have had this chat thirty five times

766
00:42:40,719 --> 00:42:43,279
Speaker 1: and you never do anything with the information that I

767
00:42:43,360 --> 00:42:46,760
Speaker 1: give you. And twenty years down the track, you're still

768
00:42:46,800 --> 00:42:48,920
Speaker 1: looking for a quick fix, a magic pill or a

769
00:42:48,920 --> 00:42:51,959
Speaker 1: fucking shortcut. And you want to know if I think

770
00:42:52,000 --> 00:42:55,040
Speaker 1: ozepic is a great idea for you? Not having that chat,

771
00:42:55,440 --> 00:42:58,000
Speaker 1: how about this eat less shit? Move more? And just

772
00:42:58,040 --> 00:43:01,040
Speaker 1: fucking stop asking me oh, you know, but that's not

773
00:43:01,080 --> 00:43:04,160
Speaker 1: what they want to hear. So some of my friends,

774
00:43:04,160 --> 00:43:07,960
Speaker 1: I go, do not talk to me about your body fitness, health, nutrition,

775
00:43:08,320 --> 00:43:13,200
Speaker 1: exercise program until you're actually in the middle of doing it.

776
00:43:13,520 --> 00:43:16,680
Speaker 2: That's actually a healthy thing for conversations and friends. I've

777
00:43:16,680 --> 00:43:20,200
Speaker 2: got one of my dearest friends. She is quite religious,

778
00:43:20,719 --> 00:43:23,120
Speaker 2: very very religious, and whenever we get into or over

779
00:43:23,160 --> 00:43:28,360
Speaker 2: the years previously we'd get into quite intense debates. And

780
00:43:28,440 --> 00:43:30,920
Speaker 2: at one point we were talking about Bible references and

781
00:43:30,960 --> 00:43:35,040
Speaker 2: she called me ignorant, and I took quite offense to that.

782
00:43:35,160 --> 00:43:38,480
Speaker 2: So we decided that we just will never discuss religion

783
00:43:38,640 --> 00:43:41,520
Speaker 2: ever because she has very strong opinions and I have

784
00:43:41,719 --> 00:43:45,920
Speaker 2: very strong alter opinions, and it was actually damaging to

785
00:43:46,000 --> 00:43:49,040
Speaker 2: our relationship that we were getting because we both headstrong,

786
00:43:49,080 --> 00:43:51,960
Speaker 2: we both like to argue and debate points. But we

787
00:43:52,080 --> 00:43:54,120
Speaker 2: just found that there's so many other things that we

788
00:43:54,160 --> 00:43:56,200
Speaker 2: can talk about and we care about and love each

789
00:43:56,200 --> 00:43:59,200
Speaker 2: other a lot, that we decided that that's just off

790
00:43:59,200 --> 00:44:02,240
Speaker 2: the table, never ever ever talk about religion.

791
00:44:02,400 --> 00:44:05,040
Speaker 1: But see, yeah, that's not a bad idea, but I

792
00:44:05,080 --> 00:44:09,560
Speaker 1: think the problem with that is you truly think that

793
00:44:09,600 --> 00:44:13,319
Speaker 1: you're right and there's no chance that you're wrong, as

794
00:44:13,360 --> 00:44:17,640
Speaker 1: does she Yeah, exactly. That's a level of arrogance. And

795
00:44:18,280 --> 00:44:21,880
Speaker 1: it's like I've realized over the years, and I'm not

796
00:44:22,000 --> 00:44:25,279
Speaker 1: fucking mother Teresa or whatever, but yeah, like all the

797
00:44:25,320 --> 00:44:29,799
Speaker 1: stuff you remember, how emphatic and how like, Now, what

798
00:44:29,880 --> 00:44:32,319
Speaker 1: do I think? I think? I actually don't know. I

799
00:44:32,360 --> 00:44:34,919
Speaker 1: have certain beliefs, but I don't know. I could be wrong.

800
00:44:35,000 --> 00:44:36,719
Speaker 1: You don't know. You don't know if the Bible is

801
00:44:36,760 --> 00:44:39,319
Speaker 1: real or bullshit, or you know, you don't know. You

802
00:44:39,400 --> 00:44:41,880
Speaker 1: think you know. I don't know. None of us really know,

803
00:44:42,160 --> 00:44:45,719
Speaker 1: like with many many things. And I think the irony

804
00:44:45,960 --> 00:44:50,200
Speaker 1: is that we're talking about you know, spiritual religious god

805
00:44:50,440 --> 00:44:58,920
Speaker 1: things or non things. And I find that, like twice

806
00:44:58,960 --> 00:45:01,239
Speaker 1: in the last two days I've read somebody put a

807
00:45:01,280 --> 00:45:04,720
Speaker 1: thing on Facebook and that was this big proclamation about

808
00:45:04,719 --> 00:45:07,680
Speaker 1: shit and at the end they said, if you disagree

809
00:45:07,760 --> 00:45:11,640
Speaker 1: with me, unfriend me. And I'm like, that is so hilarious.

810
00:45:11,680 --> 00:45:15,359
Speaker 1: You're literally saying I only want to surround myself with

811
00:45:15,400 --> 00:45:18,759
Speaker 1: people who agree with me. I want your endorsement. If

812
00:45:18,760 --> 00:45:22,360
Speaker 1: you don't endorse or agree, fuck off. I want to

813
00:45:22,400 --> 00:45:27,480
Speaker 1: live in an echo chamber. Whereas the healthiest way is now,

814
00:45:27,600 --> 00:45:30,080
Speaker 1: because if you and I think something different on different things,

815
00:45:30,120 --> 00:45:32,799
Speaker 1: that's fine. Doesn't affect our friendship or how much I

816
00:45:32,840 --> 00:45:35,040
Speaker 1: love you or want you to be fucking great and healthy.

817
00:45:35,120 --> 00:45:38,160
Speaker 1: Right if you think A and I think B, nothing

818
00:45:38,200 --> 00:45:42,800
Speaker 1: in me wants to convince you of B. I'm like, cool,

819
00:45:43,560 --> 00:45:45,719
Speaker 1: you know, and there are even and I think the

820
00:45:45,800 --> 00:45:49,040
Speaker 1: thing is when you so emphatically believe that you're right

821
00:45:49,120 --> 00:45:53,520
Speaker 1: about something for which you actually can't prove because there's

822
00:45:53,600 --> 00:45:57,800
Speaker 1: no data in this and even like what people call data.

823
00:45:57,920 --> 00:46:00,400
Speaker 1: You go back and you go, well, you know, there

824
00:46:00,400 --> 00:46:03,400
Speaker 1: are even in science. There's so much science that isn't

825
00:46:03,400 --> 00:46:08,000
Speaker 1: really science. It's like it's it's in somebody's interpretation of

826
00:46:08,040 --> 00:46:11,400
Speaker 1: a thing. So then you go, well, who designed the study,

827
00:46:11,680 --> 00:46:15,880
Speaker 1: A person who interpreted the study? A person like And

828
00:46:15,960 --> 00:46:19,239
Speaker 1: when you think about I'm digressing here, but that you know,

829
00:46:19,320 --> 00:46:23,560
Speaker 1: because people are so self righteous and adamant about this

830
00:46:23,719 --> 00:46:25,480
Speaker 1: is science. And then you go, so, do you know

831
00:46:25,520 --> 00:46:29,759
Speaker 1: how much of science is funded by private organizations who

832
00:46:29,760 --> 00:46:32,680
Speaker 1: have a vested interest in the results of the science.

833
00:46:33,239 --> 00:46:37,200
Speaker 1: It's about eighty percent. It's seventy five percent, I think,

834
00:46:37,280 --> 00:46:40,520
Speaker 1: you know, And the rest is generally government or often government.

835
00:46:40,560 --> 00:46:46,280
Speaker 1: And so when somebody has essentially responsibility to the person

836
00:46:46,480 --> 00:46:51,200
Speaker 1: funding their research, or they're at least somewhat encouraged to

837
00:46:51,239 --> 00:46:54,719
Speaker 1: produce certain data which is of value to then it's

838
00:46:54,760 --> 00:46:58,120
Speaker 1: not honest. It's not real, it's not independent. You know,

839
00:46:58,200 --> 00:47:02,759
Speaker 1: most real science is out that what you hypothesized is

840
00:47:02,840 --> 00:47:06,080
Speaker 1: fucking wrong and going hey everyone, I got it wrong.

841
00:47:06,440 --> 00:47:10,880
Speaker 1: Here's the information. That's science, you know. But it's like

842
00:47:11,040 --> 00:47:13,520
Speaker 1: we are so emotional that we don't want to be

843
00:47:13,880 --> 00:47:16,520
Speaker 1: we don't want to be wrong. And it's like, well

844
00:47:16,600 --> 00:47:22,839
Speaker 1: that's arrogance, you like, you're going to get shit wrong constantly. Yeah,

845
00:47:22,880 --> 00:47:25,120
Speaker 1: that's like even when we go we're talking about stuff,

846
00:47:25,120 --> 00:47:27,359
Speaker 1: I go, hey, everyone, do not take any of this

847
00:47:27,400 --> 00:47:29,640
Speaker 1: as of advice, because this is the two fucking dickheads

848
00:47:29,640 --> 00:47:30,720
Speaker 1: on a Friday chatting.

849
00:47:32,440 --> 00:47:36,200
Speaker 2: Yeah, I'm very passionate about veganism, but I will go

850
00:47:36,280 --> 00:47:38,080
Speaker 2: to dinner with people and they can have a stake.

851
00:47:38,120 --> 00:47:40,800
Speaker 2: I'm not going to get offended by that. I'm not

852
00:47:40,840 --> 00:47:44,440
Speaker 2: going to change someone's opinions overnight. And you know, ultimately,

853
00:47:44,920 --> 00:47:48,120
Speaker 2: and whether it's faith, belief or whatever, the belief system

854
00:47:48,280 --> 00:47:52,040
Speaker 2: you have, you can't really control that you know, if you,

855
00:47:52,600 --> 00:47:55,600
Speaker 2: in your heart believe that there is a God and

856
00:47:55,680 --> 00:47:57,320
Speaker 2: that when you die you're going to go to heaven,

857
00:47:57,560 --> 00:48:00,520
Speaker 2: that's lovely that you feel good and comfortable in that sense.

858
00:48:01,000 --> 00:48:02,640
Speaker 1: Patronizing that's lovely.

859
00:48:03,080 --> 00:48:06,240
Speaker 2: Well, it is great because I've seen Look, a really

860
00:48:06,320 --> 00:48:09,600
Speaker 2: good friend of mine, her husband made a ner own disease,

861
00:48:09,840 --> 00:48:13,720
Speaker 2: and you know, he chose what he wanted to pass

862
00:48:13,880 --> 00:48:16,280
Speaker 2: and it was and I spent you know, a whole

863
00:48:16,320 --> 00:48:19,399
Speaker 2: afternoon with him three days before he died, reading from

864
00:48:19,480 --> 00:48:22,520
Speaker 2: his favorite book, and it was the emotional thing of

865
00:48:22,520 --> 00:48:24,920
Speaker 2: my life. And what I drew a lot of comfort

866
00:48:24,960 --> 00:48:27,799
Speaker 2: from was I knew how spiritual and how religious he was.

867
00:48:27,840 --> 00:48:30,440
Speaker 2: Then he really didn't fear death and he got a

868
00:48:30,440 --> 00:48:32,799
Speaker 2: lot from that. That was great for me to see

869
00:48:32,840 --> 00:48:35,360
Speaker 2: that in him, knowing that he chose the time he

870
00:48:35,440 --> 00:48:38,200
Speaker 2: was going to die, That was phenomenal to be a

871
00:48:38,239 --> 00:48:40,840
Speaker 2: part of that. And I feel really really lucky to

872
00:48:40,960 --> 00:48:43,799
Speaker 2: have spent that time with him, you know, holding his hand,

873
00:48:43,880 --> 00:48:48,160
Speaker 2: reading a book, and that was an experience that is profound.

874
00:48:48,840 --> 00:48:51,880
Speaker 2: And so ultimately, if you have a core belief, now

875
00:48:51,880 --> 00:48:54,239
Speaker 2: one's going to change that. And all you can do

876
00:48:54,360 --> 00:48:56,400
Speaker 2: is basically say, well, this is me, this is you,

877
00:48:56,520 --> 00:48:58,239
Speaker 2: This is why I believe what I believe. And you

878
00:48:58,280 --> 00:48:59,960
Speaker 2: can take that on board and not take it on board.

879
00:49:02,520 --> 00:49:05,360
Speaker 1: Look at us getting deep in philosophical on the home straight.

880
00:49:06,560 --> 00:49:08,239
Speaker 1: Have you got a two minute one, because I've got

881
00:49:08,280 --> 00:49:09,360
Speaker 1: to be out in two minutes.

882
00:49:10,440 --> 00:49:12,759
Speaker 2: There is one that I was really surprised about, and

883
00:49:12,760 --> 00:49:17,120
Speaker 2: I was surprised and not so surprised that women are

884
00:49:17,160 --> 00:49:22,759
Speaker 2: often an afterthought in terms of product design and implementation

885
00:49:22,880 --> 00:49:26,520
Speaker 2: of public spaces. Okay, so in the nineteen seventies, this

886
00:49:26,560 --> 00:49:29,640
Speaker 2: is a great article I was reading. There was a

887
00:49:29,719 --> 00:49:33,760
Speaker 2: thing called reference man. Effectively referenced man in the seventies

888
00:49:33,840 --> 00:49:37,720
Speaker 2: was a white male twenty five to thirty five ways,

889
00:49:37,760 --> 00:49:40,880
Speaker 2: about seventy kilos and about one hundred and seventy seventy

890
00:49:40,960 --> 00:49:44,719
Speaker 2: centimeters tall, which, ironically, I'm just under seventy kilos and

891
00:49:44,719 --> 00:49:47,080
Speaker 2: I'm one hundred and sixty nine centimeters tall.

892
00:49:47,880 --> 00:49:50,480
Speaker 1: Average person through seventies, you're the prototype.

893
00:49:50,719 --> 00:49:53,080
Speaker 2: Well yes and no, because I did a bit of

894
00:49:53,080 --> 00:49:56,520
Speaker 2: a googling on this one, and evidently the average height

895
00:49:56,640 --> 00:50:02,040
Speaker 2: has increased in Australia by about six or seven centimeters,

896
00:50:02,320 --> 00:50:05,279
Speaker 2: so that's now wrong anyway. But what it related to

897
00:50:05,960 --> 00:50:09,440
Speaker 2: is the fact that this reference. Now, there's an interesting

898
00:50:09,680 --> 00:50:14,240
Speaker 2: professor at monash Uni called Nicole Carm's and she was talking.

899
00:50:14,480 --> 00:50:17,440
Speaker 2: She runs a lab called monash x YX Lab. I

900
00:50:17,480 --> 00:50:19,200
Speaker 2: don't know if you've heard of that one, Craigo.

901
00:50:19,239 --> 00:50:19,839
Speaker 1: But have not.

902
00:50:20,320 --> 00:50:22,400
Speaker 2: But anyway, so what she's saying is one of the

903
00:50:22,400 --> 00:50:26,279
Speaker 2: problem is problems is that everything's gender specific. So if

904
00:50:26,320 --> 00:50:28,840
Speaker 2: you think about standing on a tram and reaching up

905
00:50:28,880 --> 00:50:31,799
Speaker 2: and grabbing the handle, well, someone has decided that the

906
00:50:31,840 --> 00:50:35,360
Speaker 2: handle should be at a certain height. And so everything

907
00:50:35,440 --> 00:50:37,759
Speaker 2: is based on a lot of research or a lot

908
00:50:37,800 --> 00:50:42,640
Speaker 2: of the RND and the development of products and spaces,

909
00:50:42,719 --> 00:50:45,359
Speaker 2: whether it's sitting on a bench or something like that,

910
00:50:45,640 --> 00:50:50,080
Speaker 2: is still based on reference. Man, the white male from Wow,

911
00:50:51,040 --> 00:50:52,040
Speaker 2: isn't that fascinating?

912
00:50:52,520 --> 00:50:55,399
Speaker 1: That is fascinating. It doesn't surprise me. But I will

913
00:50:55,440 --> 00:50:59,600
Speaker 1: say I totally agree with well, it's nothing to agree

914
00:50:59,640 --> 00:51:02,239
Speaker 1: or dis I find that interesting and believe it. But

915
00:51:02,280 --> 00:51:06,240
Speaker 1: I think there are a huge amount of products now

916
00:51:06,840 --> 00:51:10,880
Speaker 1: that women are at the forefront of because women spend

917
00:51:10,960 --> 00:51:13,960
Speaker 1: so much like and I mean that in a nice way.

918
00:51:13,960 --> 00:51:17,400
Speaker 1: It's like especially around I guess like fashion and all

919
00:51:17,440 --> 00:51:20,000
Speaker 1: of those things. I think generally speaking, women are more

920
00:51:20,480 --> 00:51:24,480
Speaker 1: interested in you know, well, maybe I'm not. Well, I'm

921
00:51:24,480 --> 00:51:27,320
Speaker 1: definitely not typical, but I think it goes both ways.

922
00:51:27,840 --> 00:51:30,600
Speaker 1: It's like there are probably certain you know, whether and

923
00:51:30,640 --> 00:51:34,359
Speaker 1: some women absolutely love cars, some don't. They're just like, oh,

924
00:51:34,440 --> 00:51:36,600
Speaker 1: it gets me from A to B and it's you know,

925
00:51:36,680 --> 00:51:39,320
Speaker 1: and some are all over it, and then other blokes

926
00:51:39,360 --> 00:51:41,799
Speaker 1: are not, you know, or blow you know. But I

927
00:51:41,840 --> 00:51:44,080
Speaker 1: think there's I think you'd find with a lot of

928
00:51:44,120 --> 00:51:47,799
Speaker 1: products that there's a real leaning one way or the other,

929
00:51:48,080 --> 00:51:53,920
Speaker 1: male or female around who's more you know, predisposed to

930
00:51:54,000 --> 00:51:56,040
Speaker 1: kind of be interested in that. But I do find

931
00:51:56,080 --> 00:52:00,879
Speaker 1: that interesting. Look, I think back then, when did you say,

932
00:52:00,880 --> 00:52:04,400
Speaker 1: the fifties or sixties and seventies, Yeah, well fifty I

933
00:52:04,440 --> 00:52:07,680
Speaker 1: mean that's fifty years ago now, and it's like, oh everything,

934
00:52:07,719 --> 00:52:11,879
Speaker 1: I agree. The world was so fucking geared towards men

935
00:52:12,000 --> 00:52:14,360
Speaker 1: and what men want and men need, and yeah, it

936
00:52:14,800 --> 00:52:19,400
Speaker 1: had to change, and thankfully it's changing. But you and

937
00:52:19,440 --> 00:52:22,799
Speaker 1: Tiff both kind of straddle that man woman kind of

938
00:52:23,239 --> 00:52:25,799
Speaker 1: you know, like you to blur the lines a little bit.

939
00:52:26,719 --> 00:52:28,960
Speaker 2: Well. The thing that she did bring up, though, is

940
00:52:28,960 --> 00:52:32,600
Speaker 2: that women quite often aren't in the data, so you know,

941
00:52:32,719 --> 00:52:35,200
Speaker 2: when you think about it, it's half the population. But

942
00:52:35,440 --> 00:52:38,880
Speaker 2: historically they've been excluded from that data set because it

943
00:52:38,960 --> 00:52:41,000
Speaker 2: is based on it's so male centric.

944
00:52:41,719 --> 00:52:44,600
Speaker 1: Yeah, it's ridiculous, Patrick. Where can people connect with you?

945
00:52:44,680 --> 00:52:48,399
Speaker 1: Find you, do yoga with you, meet Fritz and come

946
00:52:48,440 --> 00:52:51,840
Speaker 1: and stay thousand dollars a night in Milan for the weekend.

947
00:52:52,120 --> 00:52:56,080
Speaker 2: Oh that'd be good, wouldn't it. Websites noow dot com

948
00:52:56,200 --> 00:52:58,320
Speaker 2: dot au if you want to chat about like I

949
00:52:58,320 --> 00:53:01,719
Speaker 2: don't know websites figure, but if you want to check

950
00:53:01,760 --> 00:53:03,480
Speaker 2: out and do some Tai chee with Fritz and I

951
00:53:03,760 --> 00:53:06,960
Speaker 2: tie chee at home dot com dot au, but send

952
00:53:07,040 --> 00:53:09,040
Speaker 2: us a message, or if you want to trig about

953
00:53:09,080 --> 00:53:11,319
Speaker 2: something and not talk about male ejaculation.

954
00:53:12,120 --> 00:53:16,080
Speaker 1: Pat, see, you brought it right back up. It was

955
00:53:16,120 --> 00:53:20,120
Speaker 1: the furthest thing from anyone's mind. M Patrick sent me

956
00:53:20,160 --> 00:53:22,760
Speaker 1: a photo just before the show, every one of Fritz

957
00:53:22,960 --> 00:53:27,680
Speaker 1: wearing headphones and a little mouth talking piece like an

958
00:53:27,719 --> 00:53:32,000
Speaker 1: amy lady on the ads, and he said, we're ready.

959
00:53:33,000 --> 00:53:37,160
Speaker 1: Sadly Fritz hasn't made an appearance. Thank you, mate. I

960
00:53:37,200 --> 00:53:41,160
Speaker 1: will say goodbye affair, but for the minute, have a

961
00:53:41,200 --> 00:53:42,840
Speaker 1: good Friday chatting