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Speaker 1: Oh, good morning, Patrick, Good morning, Tiffany.

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Speaker 2: Good morning everyone.

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Speaker 1: I'd see neither of you.

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Speaker 3: Knew who to talk because Patrick wanted to be a gentleman,

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Speaker 3: and so there was this awkward moment.

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Speaker 4: Hi Patrick, Hi Crago, how are you?

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Speaker 1: I'm very good.

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Speaker 3: I probably should have started with one of you, not

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Speaker 3: both of you, because right out of the gate it

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Speaker 3: was fucking terrible.

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Speaker 1: But we can only get better from here, I guess hopefully.

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Speaker 3: How is the International Space Station where we see you

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Speaker 3: perched up there?

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Speaker 5: Well, my primary camera isn't working and I'm using the

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Speaker 5: camera off my laptop, so it's just a backdrop.

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Speaker 4: But you can see the.

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Speaker 5: Edges of it, so it doesn't work at all, and

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Speaker 5: it's totally faked.

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Speaker 4: And you can even see m a drink bottle that's

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Speaker 4: not floating, is it? So?

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Speaker 5: If I was on the International Space Station my drink

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Speaker 5: bottle and Schnauzer, it should be floating.

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Speaker 1: Schnauzer are euphemism for something else?

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Speaker 5: Or do you actually have it's my dog sitting next

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Speaker 5: to me, just Jackie, have you.

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Speaker 1: Ever heard have you ever heard that?

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Speaker 3: I mean, honestly, it's worth doing a search on both

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Speaker 3: of you. Dame Edna when she's talking about grooming er Schnauzer.

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Speaker 4: It's very very Oh my god, oh you will wet

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Speaker 4: yourself listeners.

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Speaker 3: I think she's talking to David Parkinson tips writing it down,

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Speaker 3: so yeah, and she's talking about it is and the

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Speaker 3: people on the couch. Do you remember when do you

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Speaker 3: remember when she would be on talkback show or talk

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Speaker 3: chat shows and there'd be all these international guests who

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Speaker 3: did not know really who she was or how to.

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Speaker 1: Deal with her, especially Americans.

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Speaker 3: Oh god, it's the funniest anyway, Patrick has a real schnauzer,

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Speaker 3: which is not a euphemism for somebody part.

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Speaker 1: There's also a.

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Speaker 5: Funny interview with Norman Gunston room a Norman Gunston. Yeah, yeah,

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Speaker 5: this interview with someone really famous, and then right at

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Speaker 5: the end of the interview, he said, so how about

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Speaker 5: an autograph? And the person's kind of looked at him

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Speaker 5: and looked at him and said, oh.

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Speaker 4: Yeah, I guess so, and he said who should I

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Speaker 4: make it out to?

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Speaker 1: It was pretty funny. He's still a lot that Gary

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Speaker 1: McDonald is his name.

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Speaker 3: Isn't it.

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Speaker 4: Yeah.

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Speaker 5: I think one of the best creative pieces of television

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Speaker 5: he ever did was Mother and Son, where he was

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Speaker 5: living with his mother who had dementia, and it was

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Speaker 5: a comedy, but tackled it so amazingly.

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Speaker 4: Well.

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Speaker 5: He was a very very big talent. I don't know.

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Speaker 5: I think he's still around.

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Speaker 3: I think so he's a little bit pre You probably

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Speaker 3: know of him too, but you probably haven't seen a

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Speaker 3: lot of him, am I right?

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Speaker 2: Yeah, that's that go with that funny comb over here.

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Speaker 3: Yeah, And he always used to have a bit of

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Speaker 3: like a shaving cut with a bit of tissue paper.

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Speaker 4: Toilet paper. It was.

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Speaker 5: Yeah, So we'd have all these multiple shaving cuts and

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Speaker 5: you just dabbed a bit of toilet paper, which is

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Speaker 5: actually something.

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Speaker 4: That you do when you're shaving.

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Speaker 5: You have a shaving cut and you've got a little

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Speaker 5: nick and you put a bit of toilet paper on,

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Speaker 5: but you don't walk out the house with it on.

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Speaker 4: Have you ever done that, Craig, when you've had a shave?

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Speaker 4: Have you ever?

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Speaker 3: I don't shave with a razor too much. I just

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Speaker 3: like I just have a permanent stubble, But yeah, I have.

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Speaker 3: I definitely in the old days when I used to

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Speaker 3: be close shaving and trying to look like a grown up,

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Speaker 3: especially when I first started and I was fucking lacerating

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Speaker 3: my face on a daily basis.

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Speaker 4: I was terrible.

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Speaker 3: Yeah, with the shaving skills of a gorilla.

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Speaker 1: I had no idea what I was doing.

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Speaker 4: You had to shave. I know it's supposed to be

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Speaker 4: talking about tech, but.

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Speaker 1: Matter honestly what we talk about.

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Speaker 3: My old man did teach me to shave once, I think,

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Speaker 3: and back in those days, back in those days, just

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Speaker 3: after Jesus passed away, it was wasn't a cut throat

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Speaker 3: raisor well do you remember those blades. It was like

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Speaker 3: a raizor blade and you would click it onto the

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Speaker 3: top of a shaver and then like tighten it down.

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Speaker 4: It was kind of wasn't it.

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Speaker 3: Yeah, it was like, yeah, it's like a like a

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Speaker 3: convex kind of Yeah. It was actually a blade that

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Speaker 3: you would stand alone blade that would get clicked into

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Speaker 3: this shaver.

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Speaker 1: Yeah. Those things were fucking lethal.

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Speaker 3: But yeah, and now you can buy the the disposable

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Speaker 3: ones with about twenty seven blades.

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Speaker 4: Yeah, but.

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Speaker 1: If you do you use a razor or do you

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Speaker 1: like not a not a much?

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Speaker 2: In these days, I just let it. I'll just go.

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Speaker 3: I mean, yeah, the girls wax or shave their legs.

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Speaker 1: Or whatever that or I mean, obviously I don't need

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Speaker 1: to do either, but.

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Speaker 6: Wax, but I shaved sometimes in between because it's annoying,

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Speaker 6: because you get a good week of.

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Speaker 1: Silk sha in between. Look at Patrick between my stows.

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Speaker 6: Fritz actually know I wax because you managed to ring

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Speaker 6: spontaneously every time I'm laying on the wax table.

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Speaker 3: Oh that's right with your waxing lady, What would you do?

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Speaker 3: What would you do if you went in and was

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Speaker 3: a waxing dude? Would you turn around and walk out?

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Speaker 1: And it sounds like.

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Speaker 3: Oh yeah, get a tiffed on as busy today, just

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Speaker 3: go in and make yourself comfortable.

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Speaker 6: Yeah, look I'd probably I'd probably just go get coffee instead.

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Speaker 3: Yeah, I'd say, look now, I'm good, thanks Sea, I'd

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Speaker 3: be too. Could you imagine Patrick at at at our

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Speaker 3: ages with never having had bald legs being there are

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Speaker 3: a lot of fucking bald male legs in Hampton, I'll

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Speaker 3: give you the tip. Fucking I'm the exception not having

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Speaker 3: bored legs. There's a lot of mammals, a lot of

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Speaker 3: mammals in Hampton. But yeah, I reckon, it would be

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Speaker 3: like stage nine pain if I got my legs waxed.

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Speaker 2: It's worse.

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Speaker 6: It's worse when you shave in between waxes. Might I

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Speaker 6: had it?

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Speaker 2: It's more then.

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Speaker 6: I don't know why, but yeah, so you pay, you

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Speaker 6: pay for it. You either get to have hairy leagues

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Speaker 6: for a bit before the wax.

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Speaker 2: Or you get more pain.

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Speaker 1: Really, it's awesome.

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Speaker 2: Thing about being a chick is.

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Speaker 3: The alleged reason that men's cyclists get wax. Shout out

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Speaker 3: to all our male cyclist listeners. It's is it meant

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Speaker 3: to be if they fall and they get cut that

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Speaker 3: it's like it's easier to treat and clean or something.

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Speaker 2: I think so because yeah?

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Speaker 1: Or is it lower the drag coefficient?

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Speaker 4: Patrick, I don't know. I thought it was. I think

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Speaker 4: had nothing to do with falling. What would you plan

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Speaker 4: to fall down?

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Speaker 1: Well, they're not planning to, but they do get a

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Speaker 1: few scrapes, and I don't know. Maybe you can find

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Speaker 1: I know.

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Speaker 3: Seeing as you're here, let's do an episode and talk

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Speaker 3: about science and technology and.

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Speaker 4: Why aren't you okay?

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Speaker 5: So cyclists shave their legs for a variety of reasons,

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Speaker 5: including comfort, hygiene, and to reduce friction. And it can

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Speaker 5: prevent infection and speed up healing after it?

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Speaker 4: Reason?

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Speaker 3: Could you imagine, like anyone who thinks they're that fucking good,

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Speaker 3: that seventeen hairs on.

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Speaker 1: Their legs are going to slow them down a little bit?

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Speaker 3: Like you're not in the Olympics, champ, relax, You're just

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Speaker 3: cruising down Beach Road.

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Speaker 1: Oh come on, come on, bacon muffin.

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Speaker 3: Yeah for an egg of bacon muffin and a coffee

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Speaker 3: at the Hamptons.

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Speaker 1: Just chill out shaving your legs.

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Speaker 5: Do you feel somewhat threatened though, when twenty blokes Incras

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Speaker 5: suddenly walk into your cafe. You're sitting there with your

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Speaker 5: latte and I need.

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Speaker 3: To be careful because twenty is a lot of men.

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Speaker 3: But no, I don't, not one bit, do you know

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Speaker 3: what I do? All jokes aside, I actually really like

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Speaker 3: those guys doing that, and I know that they can

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Speaker 3: be Some people think that they can be annoying when

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Speaker 3: they're swarming down Beach Road and the roads around Melbourne.

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Speaker 1: But I do like it that it's just a bunch

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Speaker 1: of men doing shit together.

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Speaker 3: And I like when I see them all well at

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Speaker 3: the cafe I go to anyway, and like it's good

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Speaker 3: camaraderie and it's I think because women generally connect better

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Speaker 3: just to see men that are out and about and

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Speaker 3: doing something that's healthy and something that's exercise based, and

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Speaker 3: you know, so there's like a physical and a health

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Speaker 3: and a social component. I do make fun of them,

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Speaker 3: but I actually think it's good. You've never really been

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Speaker 3: a cyclist, Patrick, have you been out?

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Speaker 5: Not certainly not the Licra brigade. But when I was

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Speaker 5: living in Geelong i first moved out of home. I've

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Speaker 5: always been one of those people who doesn't do anything

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Speaker 5: formal and just decides to do something. So I decided

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Speaker 5: one day that I would start bike riding, and I

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Speaker 5: just would ride for an hour and a half every morning.

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Speaker 5: Just one would be a beach ride and the other

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Speaker 5: one would be along the river. And I just did

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Speaker 5: because I enjoyed being outdoors and loved being out in nature.

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Speaker 5: And the other thing I used to do was a

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Speaker 5: before school I'd go for a swim. I'd ride to

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Speaker 5: the local pool and swim a kilometer and then go

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Speaker 5: to school and then in the swimming tryout. Because I

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Speaker 5: didn't tell anybody I did it. I just did it

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Speaker 5: because I liked doing it. And then when they had

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Speaker 5: the swimming tryout. So I deliberately swam slowly because I

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Speaker 5: was the nerd that did no sport. And then when

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Speaker 5: we had the school com by one eyace, I was in.

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Speaker 3: You won every race because, oh, because you deliberately slept slowly.

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Speaker 3: So why did you swim? Oh because if you swim slowly,

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Speaker 3: you'd get put into an easier group.

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Speaker 4: Yeah, that's the what.

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Speaker 5: I didn't win anything at sport, and I didn't want

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Speaker 5: to do sport, and then I thought, well, if I'm

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Speaker 5: going to be forced to do this, and unbeknownst to everyone,

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Speaker 5: I swam every morning.

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Speaker 1: You were you a skinny teenager?

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Speaker 4: Yeah? Yeah, I was. I was pretty lanky and skinny.

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Speaker 4: I had nothing on my chicken leave. Yeah, I was

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Speaker 4: kind of averdgie. I gotta know.

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Speaker 5: You know, it's funny you asked those questions. I don't

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Speaker 5: you know. This is an interesting one, And I do

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Speaker 5: relate this to to tech In terms of social media.

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Speaker 5: I think body image for young people now, because of

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Speaker 5: TikTok and because of what they see on socials, has

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Speaker 5: totally changed the way that young people see themselves and

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Speaker 5: their bodies.

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Speaker 4: Particularly for me, Did I have abs?

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Speaker 5: I don't remember, did I have was I You know,

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Speaker 5: I didn't even care what I looked like at that age.

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Speaker 5: I don't think that my body image and my sense

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Speaker 5: of self was so focused on whether I had a

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Speaker 5: good physique.

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Speaker 4: I mean, I just was an average kid.

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Speaker 5: But these days, and when I talked to young people,

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Speaker 5: I know, there's a real sense of what they look like.

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Speaker 5: You know, yesterday Crago and I had breakfast together and

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Speaker 5: a young friend of mine, Chris, who's the son of

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Speaker 5: one of my best friends, he came along and met

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Speaker 5: up with us. Now he's fifteen and he's hitting the

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Speaker 5: gym now, and it was an interesting conversation, wasn't it, Craigo.

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Speaker 5: But I think, and I know, his older brother was very,

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Speaker 5: very focused on how he looked and was hitting the gym.

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Speaker 5: And at one point, I think Chris was about twelve,

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Speaker 5: And I know he won't mind me telling the story.

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Speaker 5: He was suddenly wanted to do push ups so he

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Speaker 5: could get abs like his big brother. You know, he

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Speaker 5: wanted to have the rippled abs and all that sort

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Speaker 5: of stuff. And I think when you see that, and

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Speaker 5: when you see all these people with amazing bodies on

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Speaker 5: social media, it's hard for kids not to think, oh,

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Speaker 5: I want to be like that. I need to look

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Speaker 5: like that to be attractive to the other sex or

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Speaker 5: to somebody else. And I think that there's a real

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Speaker 5: pressure on young people to look a certain way because

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Speaker 5: this is the perfect look, whereas I had no sense

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Speaker 5: of that.

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Speaker 4: I had zero sense of that when I was growing

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Speaker 4: up as a kid.

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Speaker 5: I don't know, Tiff, when you were growing up, did

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Speaker 5: you feel you had to aspire to look like something?

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Speaker 6: Sure?

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Speaker 2: I did, breathink to the degree of today. I think

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Speaker 2: it was just you just want to be skinny all

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Speaker 2: the time.

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Speaker 6: Yeah, But there wasn't the range of different, you know,

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Speaker 6: options that people have these days of looks and what

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Speaker 6: to do and whether you're skinny or strong, or got

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Speaker 6: abs or a big booty or you know, there's so

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Speaker 6: much pressure for different looks.

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Speaker 5: I don't even go there with the big booty thing,

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Speaker 5: you know, the nash and stuff. That just blows my mind,

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Speaker 5: like what the hell? But that's totally social media driven,

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Speaker 5: isn't it.

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Speaker 2: Yeah.

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Speaker 3: Yeah, we've never seen more teenagers in the gym like

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Speaker 3: growing up Like me, From when I started training to

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Speaker 3: really about six or seven years ago, there were hardly

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Speaker 3: ever teenagers in the gym lifting weights, and now between

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Speaker 3: four and seven it's predominantly young people. Between I would

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Speaker 3: think sixteen and twenty like huge, huge.

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Speaker 6: Really Yeah, I alvious think the use of filters and

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Speaker 6: all the photos you put up of yourself. Now you

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Speaker 6: create this image online these days and it's all filtered,

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Speaker 6: and then you're not that person. Yeah, there's the personality

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Speaker 6: you put forward, but there's also the literal photos that

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Speaker 6: you put the best one and you put a filter

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Speaker 6: on it, and then you actually don't look.

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Speaker 2: Like that at all.

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Speaker 6: I wonder how that affects how people walk out into

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Speaker 6: the world.

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Speaker 5: Well, I know for a show host of a very

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Speaker 5: popular podcast that's a daily podcast, he actually approached me

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Speaker 5: and said, when he was taking pictures of himself on

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Speaker 5: his phone, it didn't look like what he looked like

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Speaker 5: on zoom and there was a real mental disconnec between

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Speaker 5: what he was seeing himself when he was virtually looking at.

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Speaker 4: Himself on his podcast, as to there.

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Speaker 5: Was something wrong with his phone because his phone wasn't

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Speaker 5: showing him the.

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Speaker 4: Way he thought he should look. Like, Yeah, do you

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Speaker 4: remember that episode Tiff?

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Speaker 2: Yeah?

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Speaker 1: Yeah, can you too? Shut up? I'm well aware.

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Speaker 3: I'm well aware of what my very fucking average head

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Speaker 3: looks like. I'm not pretty like you two, So you

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Speaker 3: can both fuck off, right, I know exactly what I'm

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Speaker 3: working with. There's no Brad Pitt delusions over here. But

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Speaker 3: what to your point though, Tiff? And you fuck with.

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Speaker 1: Hi? Do you know if I was, I think about

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Speaker 1: dating sites?

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Speaker 3: Right?

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Speaker 1: You know how people put up?

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Speaker 3: Firstly, the photo they put up is generally eight years

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Speaker 3: old or ten years old.

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Speaker 1: And it's the best photo that was ever taken of

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Speaker 1: them eight years ago.

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Speaker 3: And then, like you know how you say undersell over deliver,

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Speaker 3: I feel like that's the opposite I would be putting up.

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Speaker 1: I reckon, I'd put up a real average photo.

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Speaker 3: And then if someone turns up, at the very least,

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Speaker 3: they're not going to be disappointed.

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Speaker 1: They may even be slightly happy about it. Do you

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Speaker 1: know what I mean?

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Speaker 3: Where you go, look, I've got a fuck an average head.

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Speaker 3: I'm not a lot to look at, So you know it, like,

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Speaker 3: why would you? Because people are going to be disappointed?

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Speaker 3: How many women have I heard tell me stories about that,

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Speaker 3: or I've heard them talking in social media where they

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Speaker 3: turn up on an online date and then the dude's

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Speaker 3: twenty kilos heavier than the photo ten kilos sorry ten

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Speaker 3: years older?

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Speaker 1: Why would you do that?

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Speaker 4: So I've got two things.

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Speaker 5: We should set up a social media platform where you know,

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Speaker 5: when people get kidnapped.

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Speaker 4: They have to hold up the day's paper the dates.

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Speaker 3: Yeah, yeah, yeah, no, I like where this is gone?

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Speaker 1: Keep going?

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Speaker 5: So that's so yeah. So what you do is you're

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Speaker 5: forced to no pictures on your profile of more than

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Speaker 5: a month old. So you've got to take a photo

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Speaker 5: of yourself at the newspaper. Although people can photoshop these days,

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Speaker 5: but still, but it's a thought.

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Speaker 4: Hey, it's a good idea.

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Speaker 5: That way, we could call it that what's gone.

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Speaker 3: You've got to take a photo every morning on your

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Speaker 3: iPhone when you're having a shit, right, no makeup, here's

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Speaker 3: me back in one out.

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Speaker 1: At six point thirty two. You're welcome, and then just

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Speaker 1: post that.

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Speaker 3: And then if anyone's interested in you, you know they're serious.

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Speaker 5: Then again, I guess it depends on the dating site

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Speaker 5: you're going on, because there are some dating sites where

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Speaker 5: you say no the face pic.

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Speaker 1: Ah hatual.

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Speaker 3: Tell me something about technology, please, for God's sake, just

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Speaker 3: open the tech door. I feel like we've got thirty

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Speaker 3: minutes to go, and people are like, could you start

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Speaker 3: the show?

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Speaker 1: Could you? What have Microsoft been doing that's pissing people off? Patrick,

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Speaker 1: I'm going to tell you.

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Speaker 5: But yeah, So Microsoft launched their co pilot, which is great,

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Speaker 5: and what they did was they sneakily, and I kin'd of, yeah, look,

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Speaker 5: I'm going to say sneakily, I'm putting it out there.

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Speaker 5: The trillion dollar company and me upscrew. Now Microsoft sneakily

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Speaker 5: up to all of their subscription numbers by between thirty

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Speaker 5: and forty percent. So suddenly people are paying upwards of

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Speaker 5: forty percent more for their subscription because they're now bundling

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Speaker 5: in AI. And what a lot of people don't realize

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Speaker 5: is that you do have the option to not have

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Speaker 5: the AI version and drop back to the cheapest subscriptions.

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Speaker 5: But I did some sums on this, and I was

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Speaker 5: thinking to myself, well, you know, Microsoft have a lot

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Speaker 5: of people subscribed. I mean, we're talking a ton of people.

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Speaker 5: So if they've got eighty four million subscribers and they

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Speaker 5: bump up the price by forty dollars, that's three point

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Speaker 5: three billion dollars they've just put into their skyrocket. So

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Speaker 5: it's a lot of money, So there's a real cash

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Speaker 5: in set and obviously developing AI is an expensive process.

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Speaker 5: But the A Triple C, which of course is our

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Speaker 5: consumer watchdog here in Australia, has now gone in because

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Speaker 5: there are people who've complained and said you can't just

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Speaker 5: arbitrarily jump up the price to that degree without consulting people.

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Speaker 5: And I guess the question is go into your subscription

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Speaker 5: and go and opt out. If you just want to

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Speaker 5: use word and outlook, you know, and Excel spreadsheets, but

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Speaker 5: you don't want the AI component built in. Given that

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Speaker 5: there's a lot of free AI software out there, then

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Speaker 5: you can reduce your bill drastically.

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Speaker 4: So look at your bill. Has it just jumped up?

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Speaker 5: It may be that you've been bumped up to the

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Speaker 5: next subscription level without knowing.

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Speaker 3: Wow, that's to me, I mean, how is that even legal?

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Speaker 3: Like to me, I don't how can you that? That

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Speaker 3: is deceptive? It's sneaky.

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Speaker 4: It's does feel like that, doesn't it.

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Speaker 3: Well, it's like how can you how can you charge

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Speaker 3: people more without informing them that you're doing that or

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Speaker 3: asking them, as you said.

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Speaker 1: This is what we want to do. Are you in

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Speaker 1: or out?

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Speaker 4: Yeah?

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Speaker 5: And that's what appears to have happened, and so that

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Speaker 5: the ariple C is looking into it after a whole

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Speaker 5: heap of complaints from people.

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Speaker 3: So there's there's an ever expanding option list of AI, patrick,

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Speaker 3: isn't there. I mean it feels like there, you know,

404
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Speaker 3: we had chat GPT three and then four and then

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Speaker 3: four point oh.

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Speaker 1: I think it's called and five's coming out soon. And

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Speaker 1: I use.

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Speaker 3: Another one called Claude, which is more academically focused, in

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Speaker 3: a little bit more technical writing. But it seems like

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Speaker 3: that there's just going to be an ocean of these

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Speaker 3: things where it's going to be just integrated with everything.

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Speaker 4: Look, even if you.

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Speaker 5: Use WhatsApp as a chat service, there's now a little

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Speaker 5: colored circle in the corner where you've got AI built

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Speaker 5: into that and you can just start asking questions directly

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Speaker 5: into WhatsApp, you know. So there's so many options if

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Speaker 5: you want to use it, you.

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Speaker 4: Know, and it can be really handy, as you.

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Speaker 5: Know, and I know that we've discussed this on many

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Speaker 5: times on many shows, and there's lots of really great,

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Speaker 5: you know, streamline ways that you can use it to

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Speaker 5: help summarize an article, summarize information. But the concern about

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Speaker 5: it is that now more people are actually asking generative

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Speaker 5: AI questions about their health, but some of the answers

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Speaker 5: may not be right. And this is the real concern

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Speaker 5: is depending on the model that it was built on, it.

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Speaker 4: Doesn't necesscessarily mean it's updating constantly.

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Speaker 5: So you build the AI on on a model and

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Speaker 5: it's amount of data, and it may have scraped the Internet,

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Speaker 5: it may have got it from different sources, but then

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Speaker 5: it's sitting there with this model and if you ask

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Speaker 5: a question, it may not be as accurate as you think.

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Speaker 5: And the concern is that more and more people are

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Speaker 5: going to AI. You know when people say, oh, I

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Speaker 5: googled it, so yes, now I have got hamorrhagic fever,

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Speaker 5: so you go to doctor Google. Well, it's got one

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Speaker 5: step further where people are now relying on AI for

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Speaker 5: health outcomes and using AI and asking them questions about

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Speaker 5: their health, but they potentially are getting the wrong answers.

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Speaker 5: So and this is a worry because it's actually being

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Speaker 5: used by doctors as well. So you know, doctors are

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Speaker 5: under pressure, and I know my doc. I've sat down

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Speaker 5: next to my doctor where he's googled stuff.

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Speaker 4: Have you does that.

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Speaker 5: Gets you nervous when you sit next to your GP

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Speaker 5: and you start talking and he starts googling.

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Speaker 3: Yet, well, I think, like I reckon the other side

448
00:22:02,080 --> 00:22:05,400
Speaker 3: of this, Devil's Advocate is this, how much stuff can

449
00:22:05,440 --> 00:22:08,800
Speaker 3: your doctor who qualified thirty years ago know and remember

450
00:22:08,920 --> 00:22:15,160
Speaker 3: and understand about all potential health nutritional, medical like if

451
00:22:15,200 --> 00:22:19,800
Speaker 3: you've got and you're exactly right. The internet gets things wrong,

452
00:22:19,840 --> 00:22:23,280
Speaker 3: but so to humans. The third biggest lead, the third

453
00:22:23,359 --> 00:22:26,560
Speaker 3: leading cause of death in America is medical mistakes.

454
00:22:27,359 --> 00:22:28,920
Speaker 1: So mistakes by humans.

455
00:22:29,400 --> 00:22:32,640
Speaker 3: So to assume that a doctor will know more than

456
00:22:32,760 --> 00:22:35,520
Speaker 3: all of the information available, and I'm not saying they

457
00:22:35,560 --> 00:22:38,800
Speaker 3: do or they don't. I'm just saying I think there's

458
00:22:38,840 --> 00:22:42,040
Speaker 3: an intelligent way, and I think real humans should be

459
00:22:42,080 --> 00:22:46,240
Speaker 3: at the forefront of all diagnoses and treatment, like doctors

460
00:22:46,240 --> 00:22:50,280
Speaker 3: and surgeons and all the relevant people and nurses of course,

461
00:22:50,720 --> 00:22:53,800
Speaker 3: But I also think that you know, if all of

462
00:22:53,840 --> 00:22:59,399
Speaker 3: a sudden you can draw on all of the information

463
00:22:59,520 --> 00:23:04,879
Speaker 3: that's about in the world about specific conditions, at the

464
00:23:05,000 --> 00:23:08,240
Speaker 3: very least, it's a handy tool to use without being

465
00:23:08,760 --> 00:23:10,919
Speaker 3: dependent on it. I think there's going to be an

466
00:23:10,920 --> 00:23:15,520
Speaker 3: integration of humanity and technology when it comes to managing

467
00:23:15,560 --> 00:23:18,320
Speaker 3: and treating health and medical conditions.

468
00:23:19,160 --> 00:23:23,160
Speaker 5: I think one of little survey that was done last

469
00:23:23,280 --> 00:23:27,280
Speaker 5: year looked at around about two thousand Australians and quiz

470
00:23:27,359 --> 00:23:30,400
Speaker 5: them on whether they were using generative AI chat JAPT

471
00:23:31,520 --> 00:23:35,600
Speaker 5: to find out health related queries, and it was quite high.

472
00:23:36,320 --> 00:23:40,960
Speaker 5: But what it found also is that people with who

473
00:23:41,040 --> 00:23:44,600
Speaker 5: were actually low associo economically, so maybe people who could

474
00:23:44,680 --> 00:23:47,560
Speaker 5: less afford to go to a doctor were actually playing

475
00:23:47,720 --> 00:23:51,520
Speaker 5: on that data to try to get questions answered about

476
00:23:51,640 --> 00:23:54,439
Speaker 5: their health. So there seemed to be a correlation between

477
00:23:54,440 --> 00:23:58,000
Speaker 5: people who had less money and were maybe relying on

478
00:23:58,080 --> 00:24:02,120
Speaker 5: what they perceive ai'd be smart enough that they can

479
00:24:02,160 --> 00:24:04,680
Speaker 5: get health outcomes, and that's that's I think that's what

480
00:24:04,720 --> 00:24:07,880
Speaker 5: the concern was that because this was a national kind

481
00:24:07,880 --> 00:24:10,560
Speaker 5: of study into you know a bit of research that

482
00:24:10,680 --> 00:24:13,880
Speaker 5: was done, and it just felt that people felt they

483
00:24:14,000 --> 00:24:18,359
Speaker 5: trusted AI more than they would just a standard Google search.

484
00:24:19,200 --> 00:24:22,080
Speaker 5: I mean, when I look up something in Google, I

485
00:24:22,200 --> 00:24:24,520
Speaker 5: then go to the is it the Mayo Clinic or

486
00:24:24,520 --> 00:24:26,040
Speaker 5: one of the health sites, or I look for a

487
00:24:26,080 --> 00:24:28,320
Speaker 5: government website. You know, you always look for the dot

488
00:24:28,359 --> 00:24:31,880
Speaker 5: gov extension to make sure the health information that you've

489
00:24:31,880 --> 00:24:35,200
Speaker 5: got is a legitimate website. So I think for me personally,

490
00:24:35,640 --> 00:24:37,520
Speaker 5: you know, it's like going to a banking web. So

491
00:24:37,560 --> 00:24:39,240
Speaker 5: I remember when you used to look for the padlock

492
00:24:39,280 --> 00:24:41,080
Speaker 5: in the top left hand corner, so it had a

493
00:24:41,119 --> 00:24:43,560
Speaker 5: little what they called an SSL certificate, and that tis

494
00:24:43,560 --> 00:24:46,680
Speaker 5: shaking her head, so we o me too.

495
00:24:46,680 --> 00:24:47,400
Speaker 1: Shake your mind.

496
00:24:47,720 --> 00:24:49,840
Speaker 5: Okay, So there's a little padlock that sits in the

497
00:24:49,840 --> 00:24:52,239
Speaker 5: browser to say that it's a secure connection between you,

498
00:24:52,280 --> 00:24:54,200
Speaker 5: and if you're filling out a form or whatever, it's

499
00:24:54,280 --> 00:24:56,280
Speaker 5: encrypted when you send it through, so no one else

500
00:24:56,280 --> 00:25:00,480
Speaker 5: can intercept the information that you're sending through. Say yeah,

501
00:25:02,800 --> 00:25:05,800
Speaker 5: but in this case, in this case, it seems that yeah,

502
00:25:05,800 --> 00:25:09,359
Speaker 5: people are trusting AI a lot more. And so and

503
00:25:09,760 --> 00:25:13,120
Speaker 5: those people from like a non English speaking country who

504
00:25:13,280 --> 00:25:16,840
Speaker 5: you know, initially spoken other language, they have a more

505
00:25:17,000 --> 00:25:20,400
Speaker 5: likely to ask those sorts of questions because the language

506
00:25:20,440 --> 00:25:23,240
Speaker 5: barrier is a real problem to communicating. So you know,

507
00:25:23,359 --> 00:25:26,280
Speaker 5: again it may talk to the point of well, maybe

508
00:25:26,320 --> 00:25:29,840
Speaker 5: they're actually having more success with their dialogue when they're

509
00:25:29,920 --> 00:25:32,760
Speaker 5: using a machine that can translate and all that sort

510
00:25:32,760 --> 00:25:35,359
Speaker 5: of stuff. So maybe it's about having those tools at

511
00:25:35,800 --> 00:25:36,840
Speaker 5: a hand as well.

512
00:25:37,640 --> 00:25:38,639
Speaker 4: It'd be tough, wouldn't it.

513
00:25:38,680 --> 00:25:40,680
Speaker 5: If you go to a country where you can't speak

514
00:25:40,680 --> 00:25:43,400
Speaker 5: the language in your native language, you can't express yourself

515
00:25:44,040 --> 00:25:46,080
Speaker 5: very well, and you need to talk about a very

516
00:25:46,119 --> 00:25:49,040
Speaker 5: sensitive medical issue. And you know, it could be young

517
00:25:49,080 --> 00:25:51,520
Speaker 5: people who are embarrassed to go to the doctor and

518
00:25:51,600 --> 00:25:53,959
Speaker 5: talk about things and think, well, maybe I'll just go

519
00:25:54,040 --> 00:25:57,040
Speaker 5: in and use chat GPT to find out what is

520
00:25:57,119 --> 00:25:57,679
Speaker 5: ailing me.

521
00:26:00,520 --> 00:26:05,359
Speaker 3: Speaking of trust and lack of trust gen z or

522
00:26:06,040 --> 00:26:08,080
Speaker 3: I would call them gen z, but I think that

523
00:26:08,680 --> 00:26:11,920
Speaker 3: the kids call it gen z. Teens tell us why

524
00:26:11,960 --> 00:26:16,480
Speaker 3: they stopped trusting experts in favor of influences on TikTok.

525
00:26:16,920 --> 00:26:18,880
Speaker 1: That's interesting.

526
00:26:19,480 --> 00:26:22,600
Speaker 5: Yeah, it's kind of peer pressure gone crazy, isn't it.

527
00:26:22,680 --> 00:26:25,840
Speaker 5: You know, because all the sex education came from you know,

528
00:26:26,040 --> 00:26:29,240
Speaker 5: Barry who was behind the bike shed telling you about

529
00:26:29,600 --> 00:26:30,760
Speaker 5: all the facts of life.

530
00:26:30,840 --> 00:26:35,480
Speaker 1: Wasn't that I'm not at my school behind the bike shed.

531
00:26:35,960 --> 00:26:42,080
Speaker 3: No wonder you turned out the way you did. Now

532
00:26:42,119 --> 00:26:45,960
Speaker 3: there's everything. The door is wide open. My understanding has

533
00:26:46,000 --> 00:26:51,720
Speaker 3: been expanded. Behind the bike shed, your.

534
00:26:50,840 --> 00:26:52,760
Speaker 1: Best book in and see someone's son.

535
00:26:54,880 --> 00:26:59,200
Speaker 5: Kicks talk And didn't you look, I'm surely you know

536
00:26:59,400 --> 00:27:01,879
Speaker 5: the first thing as you started learning about life, the

537
00:27:01,960 --> 00:27:05,880
Speaker 5: universe and everything, from your mates, from kids at school.

538
00:27:06,200 --> 00:27:11,360
Speaker 5: Well on a larger scale. Now young people are turning

539
00:27:11,440 --> 00:27:15,600
Speaker 5: to TikTok and believing what's on there. So the younger

540
00:27:15,600 --> 00:27:19,959
Speaker 5: people of gen Z, so we're talking teenagers, they listen

541
00:27:20,040 --> 00:27:23,320
Speaker 5: and they believe because what the problem is that they

542
00:27:23,320 --> 00:27:26,639
Speaker 5: equate a big following and popularity. Because the thing is,

543
00:27:26,840 --> 00:27:29,480
Speaker 5: if you say something and it relates to a topic

544
00:27:29,560 --> 00:27:32,800
Speaker 5: of interest to young people and then you get a

545
00:27:32,840 --> 00:27:38,320
Speaker 5: massive following, the algorithm within TikTok will push that higher up.

546
00:27:38,440 --> 00:27:41,120
Speaker 5: So it may be a radical view, it may be

547
00:27:41,160 --> 00:27:44,080
Speaker 5: a farle right view, it may be a controversial view,

548
00:27:44,520 --> 00:27:46,760
Speaker 5: but the reality of it is the algorithm doesn't care

549
00:27:46,800 --> 00:27:49,840
Speaker 5: if it's true or not. So TikTok doesn't care what

550
00:27:49,880 --> 00:27:51,920
Speaker 5: you say. It cares if it's going to get likes.

551
00:27:51,960 --> 00:27:54,600
Speaker 5: It's cares if it's going to get follows, because it's

552
00:27:55,240 --> 00:27:59,000
Speaker 5: a system that's designed to make the popular stuff float

553
00:27:59,000 --> 00:28:02,320
Speaker 5: to the surface so that you're more likely to see

554
00:28:02,359 --> 00:28:04,880
Speaker 5: it if it's been liked by more people. And it's

555
00:28:04,920 --> 00:28:09,080
Speaker 5: not propagating quality. It's not the encyclo pretty Epedia Britannica.

556
00:28:09,280 --> 00:28:12,200
Speaker 5: It's it's it's you know, a social media platform, that

557
00:28:12,400 --> 00:28:15,040
Speaker 5: just wants to have more people watch it, and it

558
00:28:15,080 --> 00:28:18,359
Speaker 5: wants to keep you there longer. And what I'm getting

559
00:28:18,400 --> 00:28:21,200
Speaker 5: to I guess, is that younger people are not discerning

560
00:28:21,640 --> 00:28:27,360
Speaker 5: between popularity and the quality of the information that's been disseminated.

561
00:28:27,960 --> 00:28:32,400
Speaker 3: So it's not buried behind the bikeshed, is it? That's

562
00:28:32,440 --> 00:28:36,560
Speaker 3: where you get your quality information? Like, were you kidding?

563
00:28:36,880 --> 00:28:39,600
Speaker 3: People lie as well? What do you think you think

564
00:28:39,640 --> 00:28:42,880
Speaker 3: you only get bad information on the internet? No, look

565
00:28:42,880 --> 00:28:49,160
Speaker 3: at hell, no, Patrick, No, you get bad information everywhere.

566
00:28:49,520 --> 00:28:52,800
Speaker 5: No, have a science you go to a science teacher.

567
00:28:52,960 --> 00:28:54,920
Speaker 5: If you have a sex head teacher, you know, you

568
00:28:54,960 --> 00:28:57,400
Speaker 5: go to your GP. If you've got a health related questions.

569
00:28:57,520 --> 00:29:03,560
Speaker 3: What I'm saying maybe maybe yeah, maybe, I mean like there's.

570
00:29:03,400 --> 00:29:05,560
Speaker 1: Yeah, I know what you're saying. I know what you're saying.

571
00:29:05,600 --> 00:29:08,240
Speaker 3: But the fact that they would that would be their

572
00:29:08,320 --> 00:29:12,360
Speaker 3: preferred kind of clinician over the top of an actual

573
00:29:12,440 --> 00:29:14,280
Speaker 3: human Yeah.

574
00:29:14,000 --> 00:29:17,239
Speaker 5: No, Because the thing is what it's saying is that

575
00:29:17,400 --> 00:29:21,080
Speaker 5: experts are being dismissed because the stuff they're saying is

576
00:29:21,080 --> 00:29:23,600
Speaker 5: inconvenient and not entertaining.

577
00:29:24,200 --> 00:29:27,000
Speaker 4: Yeah yeah, yeah, so that's the key thing.

578
00:29:27,560 --> 00:29:30,360
Speaker 5: So they will go so a gen z Agen z

579
00:29:30,880 --> 00:29:34,880
Speaker 5: will go to an influencer before they go to an expert.

580
00:29:35,240 --> 00:29:37,200
Speaker 4: So maybe it's financial advice.

581
00:29:37,720 --> 00:29:40,600
Speaker 5: Maybe it's what should you let's invest in bitcoin for

582
00:29:40,720 --> 00:29:44,000
Speaker 5: this particular platform, or what you know, or hide your money.

583
00:29:43,880 --> 00:29:45,080
Speaker 4: Under your bed, under your pillow.

584
00:29:46,880 --> 00:29:48,760
Speaker 1: Yeah, I mean I'm with you. I see.

585
00:29:49,640 --> 00:29:51,440
Speaker 3: I mean, look, I need to be careful how I

586
00:29:51,480 --> 00:29:55,120
Speaker 3: say this, but I see fitness influences. Yeah, the guy

587
00:29:55,160 --> 00:29:57,520
Speaker 3: who's been in fitness for forty years, and I'm like,

588
00:29:58,880 --> 00:30:02,080
Speaker 3: and I'll make got qual fight on Tuesday. And now

589
00:30:02,120 --> 00:30:05,800
Speaker 3: he's telling everybody is you know the ins and outs

590
00:30:05,840 --> 00:30:09,040
Speaker 3: of physiology, And I'm like, oh, yeah, I get it.

591
00:30:09,080 --> 00:30:10,280
Speaker 1: I get it.

592
00:30:09,680 --> 00:30:14,960
Speaker 3: But it's tough because like, on the one hand, I think, hey,

593
00:30:15,040 --> 00:30:17,400
Speaker 3: well done you for doing this thing and building this

594
00:30:17,480 --> 00:30:20,240
Speaker 3: brand and this following. But then the other part of

595
00:30:20,280 --> 00:30:21,880
Speaker 3: me is like, yeah, but a lot of what you're

596
00:30:21,880 --> 00:30:25,360
Speaker 3: saying is kind of bullshit though, So I know exactly

597
00:30:25,360 --> 00:30:28,880
Speaker 3: what you're saying, and I think, like people who don't

598
00:30:28,920 --> 00:30:32,280
Speaker 3: have much knowledge, which is me in some fields, like

599
00:30:32,360 --> 00:30:35,640
Speaker 3: I'll listen to like I could watch some kind of

600
00:30:35,640 --> 00:30:37,600
Speaker 3: thing on tech and I'd think this is awesome, and

601
00:30:37,600 --> 00:30:39,280
Speaker 3: then I run it by you and you go No,

602
00:30:39,440 --> 00:30:42,320
Speaker 3: that's actually crap, that's not real. And I don't even

603
00:30:42,400 --> 00:30:44,440
Speaker 3: know because I don't know what I'm looking for. And

604
00:30:44,480 --> 00:30:47,640
Speaker 3: then with other people, people come to me all the

605
00:30:47,720 --> 00:30:50,640
Speaker 3: time or send me things all the time. Is this real?

606
00:30:51,000 --> 00:30:54,000
Speaker 3: What do you think of this? I go that is

607
00:30:54,080 --> 00:30:58,000
Speaker 3: not information. That is marketing. That is a person trying

608
00:30:58,000 --> 00:31:01,320
Speaker 3: to sell you a thing. That's I think the thing

609
00:31:01,440 --> 00:31:07,440
Speaker 3: is sometimes the gap between what is marketing what is advertising.

610
00:31:07,640 --> 00:31:10,520
Speaker 3: You know, It's like, I guess the analogy would be

611
00:31:10,560 --> 00:31:14,440
Speaker 3: on food products, where the front of the package is

612
00:31:14,560 --> 00:31:19,560
Speaker 3: just all advertising and marketing and the actual legitimate quality

613
00:31:19,760 --> 00:31:22,920
Speaker 3: information is in that tiny box on the back that's

614
00:31:23,760 --> 00:31:27,200
Speaker 3: almost unreadable because the words are so small, and that,

615
00:31:27,440 --> 00:31:30,320
Speaker 3: you know, that's the thing is like if they wanted

616
00:31:30,360 --> 00:31:33,760
Speaker 3: you to know what was actually in that food, they

617
00:31:33,760 --> 00:31:37,760
Speaker 3: would put the nutritional information splashed across the front in

618
00:31:37,840 --> 00:31:41,160
Speaker 3: big letters, and they don't want you to. And I

619
00:31:41,200 --> 00:31:44,160
Speaker 3: think that's what you're talking about here. It's trying to

620
00:31:44,280 --> 00:31:45,960
Speaker 3: read through that and filter through that.

621
00:31:46,080 --> 00:31:49,160
Speaker 5: Maybe yeah, well this this cereal will make you happier,

622
00:31:51,600 --> 00:31:54,480
Speaker 5: you know, sugar.

623
00:31:55,480 --> 00:31:55,680
Speaker 3: Yeah.

624
00:31:56,400 --> 00:32:03,760
Speaker 5: And when they talked about experts, we're talking about doctors journalists.

625
00:32:04,040 --> 00:32:06,040
Speaker 5: Because when you think of Okay, So when I was

626
00:32:06,240 --> 00:32:09,200
Speaker 5: training as a journalist, we were taught to check our

627
00:32:09,280 --> 00:32:12,640
Speaker 5: sources to make sure they were credible before we published anything.

628
00:32:12,920 --> 00:32:15,080
Speaker 5: And there was a study done by Reuters, So Ruter

629
00:32:15,160 --> 00:32:17,560
Speaker 5: is a very large news service back in twenty twenty,

630
00:32:17,920 --> 00:32:21,840
Speaker 5: and they looked at things like TikTok and YouTube and

631
00:32:21,880 --> 00:32:27,480
Speaker 5: all these social media platforms and gen Z teenagers relied

632
00:32:27,520 --> 00:32:31,400
Speaker 5: on social media for advice to a higher degree than

633
00:32:31,440 --> 00:32:34,840
Speaker 5: they did these experts. So what they're saying is I

634
00:32:35,560 --> 00:32:39,160
Speaker 5: trust I trust the social media more than I trust

635
00:32:39,200 --> 00:32:42,960
Speaker 5: a doctor, a journalist, a scientist. They dismissed them out

636
00:32:43,000 --> 00:32:45,280
Speaker 5: of hand. So they're not people they would go to

637
00:32:45,400 --> 00:32:49,240
Speaker 5: as the expert. They see the social media influencers as

638
00:32:49,640 --> 00:32:52,640
Speaker 5: the expert and think about things like remember planking.

639
00:32:52,760 --> 00:32:54,400
Speaker 4: There was that whole planking thing for.

640
00:32:54,360 --> 00:32:57,240
Speaker 5: A while and people were visiting it and people falling

641
00:32:57,240 --> 00:33:00,960
Speaker 5: off balconies to their death. You know, there are some

642
00:33:01,160 --> 00:33:05,680
Speaker 5: trending stories, some trending things, and weren't people at one

643
00:33:05,720 --> 00:33:07,360
Speaker 5: point eating dish washing tablets?

644
00:33:07,600 --> 00:33:09,160
Speaker 4: Was that a thing for a while, Do you remember

645
00:33:09,160 --> 00:33:10,120
Speaker 4: that there were? Yeah?

646
00:33:10,200 --> 00:33:13,400
Speaker 3: Yeah, yeah, there's weird little things that people that seem

647
00:33:13,520 --> 00:33:19,320
Speaker 3: to somehow gain some kind of momentum and curiosity.

648
00:33:21,720 --> 00:33:23,440
Speaker 1: Do you know the difference between you and I.

649
00:33:23,440 --> 00:33:26,040
Speaker 3: I'm just reading one of your titles here. Sorry to interrupt,

650
00:33:26,040 --> 00:33:29,480
Speaker 3: but maybe we could go here. The heading is six

651
00:33:29,600 --> 00:33:33,680
Speaker 3: things I had no idea Gemini could do Now. To you,

652
00:33:34,120 --> 00:33:37,640
Speaker 3: Gemini is probably some computer thing. To me, Gemini is

653
00:33:37,680 --> 00:33:40,160
Speaker 3: a car from the seventies and eighties.

654
00:33:41,040 --> 00:33:42,360
Speaker 2: To me, it's a star sign.

655
00:33:42,960 --> 00:33:45,920
Speaker 3: Yeah, to you, it's a star sign. And then I'm thinking,

656
00:33:46,080 --> 00:33:48,520
Speaker 3: why is he talking about Geminis. I mean, they haven't

657
00:33:48,560 --> 00:33:50,600
Speaker 3: been out for thirty years. And then I went no,

658
00:33:50,800 --> 00:33:54,720
Speaker 3: I think in the back recesses of my bloody brain,

659
00:33:54,800 --> 00:33:55,800
Speaker 3: I think that's something.

660
00:33:56,840 --> 00:33:57,760
Speaker 1: What is Gemini?

661
00:33:58,160 --> 00:34:00,600
Speaker 4: Well, it's an old car, and you can do burnouts in.

662
00:34:02,600 --> 00:34:05,400
Speaker 5: New cars don't have because you know, if new cars

663
00:34:05,400 --> 00:34:07,400
Speaker 5: now have a button for the break, you can't do

664
00:34:07,760 --> 00:34:09,440
Speaker 5: you can't do the handbreakings.

665
00:34:09,520 --> 00:34:11,160
Speaker 4: Do you know what a handbreaking is, don't you, Tiff?

666
00:34:12,040 --> 00:34:14,600
Speaker 2: Yeah, well, put the handbrake on and.

667
00:34:14,960 --> 00:34:17,080
Speaker 5: Yeah and breaking and turning the steering all at the

668
00:34:17,120 --> 00:34:18,520
Speaker 5: same time, and you'd be able to do a three

669
00:34:18,680 --> 00:34:21,200
Speaker 5: sixty with your car. I should admit to having done

670
00:34:21,239 --> 00:34:25,160
Speaker 5: that as a kid behind the Royal Melbourne Zoological Gardens

671
00:34:25,200 --> 00:34:28,520
Speaker 5: because they had this massive area of dirt track and

672
00:34:28,560 --> 00:34:30,400
Speaker 5: we'd get out there and do handbreaking. So you did

673
00:34:30,440 --> 00:34:31,799
Speaker 5: a handbreaking when you're a kid, didn't you.

674
00:34:31,800 --> 00:34:36,880
Speaker 3: Craigo, No, no, I wouldn't know handbreaking is of course

675
00:34:37,080 --> 00:34:38,400
Speaker 3: I grew up in the country.

676
00:34:38,440 --> 00:34:39,000
Speaker 4: Of course with.

677
00:34:42,040 --> 00:34:43,759
Speaker 1: Bogan. I've done videos on it.

678
00:34:45,440 --> 00:34:45,840
Speaker 4: Okay, No.

679
00:34:46,040 --> 00:34:51,200
Speaker 5: Gemini is Google's AI chatbot, right, Okay, so that's the

680
00:34:51,239 --> 00:34:52,000
Speaker 5: Google chat bot.

681
00:34:52,120 --> 00:34:55,160
Speaker 4: But the thing is there's some really awesome stuff that

682
00:34:55,239 --> 00:34:55,600
Speaker 4: you can do.

683
00:34:55,719 --> 00:34:57,799
Speaker 5: You can actually use your phone now, or you can

684
00:34:57,840 --> 00:35:01,759
Speaker 5: scan and you can read handwriting in blurry text. You know,

685
00:35:01,760 --> 00:35:04,239
Speaker 5: have you because a lot of young people don't even

686
00:35:04,400 --> 00:35:06,120
Speaker 5: I mean if you went to a doctor. Imagine you

687
00:35:06,160 --> 00:35:08,439
Speaker 5: gone to a doctor writes out a script or something

688
00:35:08,520 --> 00:35:09,880
Speaker 5: or some advice and you look at it and you

689
00:35:09,920 --> 00:35:13,600
Speaker 5: think there's a chicken just crawled across the page. Well,

690
00:35:14,120 --> 00:35:16,680
Speaker 5: a lot of AI now can actually read that stuff,

691
00:35:16,960 --> 00:35:20,640
Speaker 5: so you can take information. And some universities are using

692
00:35:20,719 --> 00:35:24,799
Speaker 5: whole old, really old text that is so old that

693
00:35:24,840 --> 00:35:29,080
Speaker 5: it's been blurred. We're talking hundreds of years old, and

694
00:35:29,800 --> 00:35:32,880
Speaker 5: human beings like us struggled to be able to decipher that.

695
00:35:33,040 --> 00:35:35,560
Speaker 5: And now AI is able to put it together. You know,

696
00:35:35,640 --> 00:35:39,760
Speaker 5: it can look for patterns within the entire body of text.

697
00:35:40,040 --> 00:35:41,759
Speaker 5: So when we look at something, we look at it

698
00:35:41,800 --> 00:35:44,600
Speaker 5: in isolation. We try to read one line. But when

699
00:35:44,640 --> 00:35:47,160
Speaker 5: AI looks at it, it looks at an entire fifty

700
00:35:47,200 --> 00:35:50,520
Speaker 5: thousand word document, and it looks for symbols and the

701
00:35:50,560 --> 00:35:53,560
Speaker 5: way that things were written, and then it can put

702
00:35:53,600 --> 00:35:56,279
Speaker 5: the whole lot together. So that's the beauty of being

703
00:35:56,320 --> 00:35:58,160
Speaker 5: able to look at it all at once, as opposed

704
00:35:58,200 --> 00:36:00,000
Speaker 5: to us where we can kind of look at small

705
00:36:00,000 --> 00:36:02,160
Speaker 5: all aspects and think that might be a littera or

706
00:36:02,200 --> 00:36:03,879
Speaker 5: it might be a litter s and then how does

707
00:36:03,920 --> 00:36:05,200
Speaker 5: that compare to all the rest of it.

708
00:36:05,280 --> 00:36:07,359
Speaker 1: But that's where CHAT, GPT and.

709
00:36:07,320 --> 00:36:10,000
Speaker 5: All these other AIS come to the fore, because they

710
00:36:10,040 --> 00:36:12,399
Speaker 5: have this amazing processing power to be able to look

711
00:36:12,400 --> 00:36:15,480
Speaker 5: at everything as a whole and then summarize it and

712
00:36:15,520 --> 00:36:17,400
Speaker 5: bring it back to the base number or whatever it

713
00:36:17,400 --> 00:36:17,920
Speaker 5: happens to be.

714
00:36:18,840 --> 00:36:21,560
Speaker 3: So I hope, I hope we don't lose some of

715
00:36:21,600 --> 00:36:25,719
Speaker 3: those cognitive skills and writing skills. And the other day

716
00:36:25,800 --> 00:36:28,680
Speaker 3: I did I can't of remember whobert I was doing.

717
00:36:29,080 --> 00:36:31,120
Speaker 3: I did a podcast with someone and I had some

718
00:36:31,160 --> 00:36:34,960
Speaker 3: notes on the screen, just dot points that I was

719
00:36:35,000 --> 00:36:36,680
Speaker 3: going to talk to them about. It might have been

720
00:36:36,719 --> 00:36:39,880
Speaker 3: doctor Jeff Grosse, i''m not sure. But it wasn't one

721
00:36:39,960 --> 00:36:42,520
Speaker 3: of these very informal, casual ones where we just talk

722
00:36:42,560 --> 00:36:44,680
Speaker 3: about nothing in particular for an hour, right.

723
00:36:44,719 --> 00:36:46,680
Speaker 1: It was like a proper conversation.

724
00:36:47,200 --> 00:36:51,560
Speaker 3: And I at the end of it, I took I

725
00:36:51,640 --> 00:36:54,560
Speaker 3: just cut and paste those notes, those dot points into

726
00:36:55,320 --> 00:36:59,200
Speaker 3: chat GPT and said, I just did a podcast talking

727
00:36:59,200 --> 00:37:02,040
Speaker 3: about this stuff. Can you write a show overview? And

728
00:37:02,120 --> 00:37:06,200
Speaker 3: it's like, certainly, Craig, And it just cranked out like

729
00:37:06,239 --> 00:37:10,960
Speaker 3: a nine out of ten blurb, which I actually used

730
00:37:11,040 --> 00:37:12,880
Speaker 3: some of it. I mean, I could have just plugged

731
00:37:12,920 --> 00:37:15,400
Speaker 3: it in, but it wasn't written like I write. But

732
00:37:15,560 --> 00:37:18,920
Speaker 3: the actual thing was just ready to go. I'm like,

733
00:37:19,200 --> 00:37:22,520
Speaker 3: this shit is this shit is really improving rapidly?

734
00:37:22,840 --> 00:37:26,120
Speaker 5: Well, look at your say, one of your big documents.

735
00:37:26,160 --> 00:37:28,239
Speaker 5: What's the biggest document that you've worked.

736
00:37:28,000 --> 00:37:29,280
Speaker 4: On at the moment.

737
00:37:29,920 --> 00:37:33,360
Speaker 5: I mean we're talking tens of thousands of words, aren't you, oh.

738
00:37:33,200 --> 00:37:37,279
Speaker 3: For my research? Yeah yeah, yeah, yep, yeah, tens of

739
00:37:37,320 --> 00:37:38,400
Speaker 3: thousands of words.

740
00:37:38,600 --> 00:37:42,400
Speaker 5: You could potentially plug that into CHATCHPT or to Gemini

741
00:37:42,680 --> 00:37:45,719
Speaker 5: and say can you spot any mistakes? So it might

742
00:37:45,760 --> 00:37:47,680
Speaker 5: not it's not contextual, it's got nothing to do with

743
00:37:47,719 --> 00:37:51,040
Speaker 5: the research itself, but it could be instances where auto

744
00:37:51,120 --> 00:37:54,640
Speaker 5: correct used as Z instead of an S. I don't

745
00:37:54,640 --> 00:37:56,640
Speaker 5: know about you, but I get so annoyed when auto

746
00:37:56,719 --> 00:37:59,719
Speaker 5: correct does a Z and I don't want to use

747
00:38:00,120 --> 00:38:03,120
Speaker 5: and spelling. But you could then scan an entire document

748
00:38:03,160 --> 00:38:06,160
Speaker 5: of you, forty thousand words, and it would be able

749
00:38:06,160 --> 00:38:08,319
Speaker 5: to go through it and clean up any errors that

750
00:38:08,360 --> 00:38:09,040
Speaker 5: you may have made.

751
00:38:09,160 --> 00:38:09,840
Speaker 4: And as a.

752
00:38:09,880 --> 00:38:12,480
Speaker 5: Human being, how many times have you read something and thought, yeah,

753
00:38:12,480 --> 00:38:14,480
Speaker 5: that looks fine, and you don't pick up on it

754
00:38:14,480 --> 00:38:16,640
Speaker 5: because you've just read it so many times. And so

755
00:38:16,719 --> 00:38:20,960
Speaker 5: they're little tools that like having your personal editor sitting

756
00:38:21,000 --> 00:38:23,239
Speaker 5: next to you, that can go in there and make

757
00:38:23,280 --> 00:38:24,000
Speaker 5: those changes.

758
00:38:24,719 --> 00:38:24,920
Speaker 4: You know.

759
00:38:25,000 --> 00:38:27,120
Speaker 5: One of the things that I've seen a lot of,

760
00:38:27,239 --> 00:38:30,000
Speaker 5: and sometimes this happens where a client sends us some

761
00:38:30,040 --> 00:38:32,360
Speaker 5: information they want us to use for a social media

762
00:38:32,440 --> 00:38:35,719
Speaker 5: post and you think that's actually AI generated.

763
00:38:35,960 --> 00:38:37,480
Speaker 4: I don't know whether I want to use that.

764
00:38:38,080 --> 00:38:41,680
Speaker 5: You know, we like to be creative in our office

765
00:38:41,680 --> 00:38:44,279
Speaker 5: and we do use AI for some things. And it

766
00:38:44,280 --> 00:38:46,799
Speaker 5: also depends on what the client's expectations are and what

767
00:38:46,800 --> 00:38:49,319
Speaker 5: their budget is, so we are mindful of that, but

768
00:38:50,000 --> 00:38:58,520
Speaker 5: we're really transparent about whether or not we use AI

769
00:38:59,400 --> 00:39:02,000
Speaker 5: to to kind of create content or you know, I

770
00:39:02,320 --> 00:39:04,800
Speaker 5: know I've mentioned this heaps of times. Sometimes you're given

771
00:39:04,880 --> 00:39:07,120
Speaker 5: a photo that's been taken on a mobile phone that's

772
00:39:07,160 --> 00:39:10,040
Speaker 5: portrait rather than landscape, but we need to use it

773
00:39:10,040 --> 00:39:12,840
Speaker 5: as a landscape photo, so we just throw it into

774
00:39:13,200 --> 00:39:16,960
Speaker 5: you know, Adobe has this great photoshop and we just say,

775
00:39:16,960 --> 00:39:20,680
Speaker 5: can you extend the background scene, So the background might

776
00:39:20,760 --> 00:39:22,960
Speaker 5: be a row of houses, or it might be a

777
00:39:23,000 --> 00:39:25,919
Speaker 5: mountain range or whatever, So it hasn't all the main

778
00:39:26,000 --> 00:39:29,279
Speaker 5: core photo. It's just extended the background to change the

779
00:39:29,280 --> 00:39:32,560
Speaker 5: aspect ratio, so it's then usable for whatever it is.

780
00:39:32,520 --> 00:39:33,359
Speaker 4: That we want to use.

781
00:39:33,719 --> 00:39:36,359
Speaker 5: You know, one of my clients is a lawyer, and

782
00:39:36,480 --> 00:39:40,360
Speaker 5: their legal firm just lost one of their key partners

783
00:39:40,600 --> 00:39:42,759
Speaker 5: and they had this great photo shoot where they had

784
00:39:42,800 --> 00:39:46,319
Speaker 5: the three partners standing in front of their sign, and

785
00:39:46,360 --> 00:39:48,400
Speaker 5: then one of the partners left and they didn't want

786
00:39:48,400 --> 00:39:50,600
Speaker 5: to do another expensive photo shoot, so we just used

787
00:39:50,640 --> 00:39:52,960
Speaker 5: AI to take one person out of the image and

788
00:39:53,080 --> 00:39:56,480
Speaker 5: rebuild the shoulder of the other partner. Now If I'd

789
00:39:56,520 --> 00:39:59,759
Speaker 5: done that in photoshop myself, it probably would have been

790
00:39:59,760 --> 00:40:03,120
Speaker 5: a all our job to be able to meticulously paint

791
00:40:03,160 --> 00:40:06,040
Speaker 5: out the person it was a textured background, and then

792
00:40:06,120 --> 00:40:09,040
Speaker 5: rebuild the person's shoulder, which is something a human person

793
00:40:09,239 --> 00:40:11,440
Speaker 5: who's good at using that sort of tech, you know,

794
00:40:12,040 --> 00:40:15,440
Speaker 5: photo software, could do. But it took me five minutes.

795
00:40:15,600 --> 00:40:19,719
Speaker 5: Using AI, it gave different examples and I combined a few.

796
00:40:19,760 --> 00:40:22,200
Speaker 5: I did a little bit of photoshopping myself, but the

797
00:40:22,239 --> 00:40:24,279
Speaker 5: majority of that was done by AI, and what I

798
00:40:24,280 --> 00:40:27,320
Speaker 5: was able to deliver to my client was something that

799
00:40:27,680 --> 00:40:29,959
Speaker 5: made it cheaper for them than going out for another

800
00:40:30,000 --> 00:40:32,319
Speaker 5: photo shoot, and I didn't have to charge them much

801
00:40:32,360 --> 00:40:34,520
Speaker 5: because it was there and done. So those sorts of

802
00:40:34,520 --> 00:40:38,440
Speaker 5: things make AI really really handy. And AI can detect

803
00:40:38,560 --> 00:40:41,279
Speaker 5: AI as well. So if you've got a photograph and

804
00:40:41,320 --> 00:40:44,840
Speaker 5: you think, well, maybe that's not craiggo sitting on Matt Everest,

805
00:40:45,120 --> 00:40:47,879
Speaker 5: I could plug that into AI and think, no, it's right,

806
00:40:48,040 --> 00:40:51,400
Speaker 5: Craig didn't climb Everest. I'm pretty sure now because AI

807
00:40:51,560 --> 00:40:55,239
Speaker 5: is able to detect that it's an AI image.

808
00:40:55,000 --> 00:40:57,479
Speaker 3: And also he's wearing thongs and shorts and a black

809
00:40:57,520 --> 00:41:01,719
Speaker 3: T shirt, so probably but just back quickly before you

810
00:41:01,880 --> 00:41:04,879
Speaker 3: go to your next topic. So another thing you can

811
00:41:04,920 --> 00:41:09,200
Speaker 3: do is say, for example, back to my research. You

812
00:41:09,239 --> 00:41:15,600
Speaker 3: can get an academic paper which is high level sciencey confusing,

813
00:41:16,239 --> 00:41:20,000
Speaker 3: and it's thirty pages and it would take you five

814
00:41:20,080 --> 00:41:23,400
Speaker 3: hours to read and try and comprehend. You can put

815
00:41:23,440 --> 00:41:27,400
Speaker 3: a PDF of that article into for example Claude, the

816
00:41:27,400 --> 00:41:30,040
Speaker 3: one I was talking about before, which is ai more academic,

817
00:41:30,360 --> 00:41:36,279
Speaker 3: and say, give give me a synopsis of this in

818
00:41:36,480 --> 00:41:41,200
Speaker 3: easy to understand language in three hundred words, and literally

819
00:41:41,440 --> 00:41:45,520
Speaker 3: one second after you upload that PDF, it starts answering,

820
00:41:46,000 --> 00:41:49,560
Speaker 3: and then in thirty seconds or less, probably twenty, you've

821
00:41:49,600 --> 00:41:53,640
Speaker 3: got a three hundred word overview of what this paper

822
00:41:53,680 --> 00:41:56,440
Speaker 3: that would have taken you. Obviously I don't use that

823
00:41:56,600 --> 00:41:59,399
Speaker 3: per se because you can't, but just to go whether

824
00:41:59,480 --> 00:42:02,759
Speaker 3: or not this is worth me reading, you know. So

825
00:42:03,200 --> 00:42:04,920
Speaker 3: it's unbelievable, cauld.

826
00:42:04,719 --> 00:42:07,279
Speaker 5: I just say something fuddy, because I was thinking of

827
00:42:07,360 --> 00:42:12,160
Speaker 5: exactly the same scenario. But my example was taking a

828
00:42:12,200 --> 00:42:16,600
Speaker 5: complicated recipe and dumbing it down to decide where to

829
00:42:17,080 --> 00:42:17,480
Speaker 5: cook it.

830
00:42:17,800 --> 00:42:20,480
Speaker 1: Same, I dear, different, different purpose.

831
00:42:21,600 --> 00:42:24,920
Speaker 4: It makes you seem so much smarter than me, not

832
00:42:25,000 --> 00:42:25,560
Speaker 4: at all.

833
00:42:26,000 --> 00:42:29,000
Speaker 3: Can I tell you because I like fast things. I'm

834
00:42:29,120 --> 00:42:34,440
Speaker 3: very excited about a train two hundred and eighty one miles.

835
00:42:34,760 --> 00:42:38,359
Speaker 3: How that is? That is nearly five hundred kilometers one.

836
00:42:38,360 --> 00:42:42,719
Speaker 5: Hundred and fifty two kilometers an hour. Now, I've been

837
00:42:42,800 --> 00:42:45,399
Speaker 5: on a fast train when I went to Shanghai. There's

838
00:42:45,400 --> 00:42:49,600
Speaker 5: a high speed train between the airport in Shanghai and

839
00:42:49,640 --> 00:42:52,560
Speaker 5: the main city of Shanghai, and I'm pretty sure it

840
00:42:52,600 --> 00:42:56,080
Speaker 5: was almost four hundred kilometers an hour. And it's you're

841
00:42:56,120 --> 00:42:57,840
Speaker 5: going to laugh at me because I've said this word

842
00:42:57,880 --> 00:43:00,480
Speaker 5: before and I think you'd made fun of me. But

843
00:43:00,520 --> 00:43:04,160
Speaker 5: it it's a maglev train. I'm sure there was a

844
00:43:04,200 --> 00:43:06,120
Speaker 5: point at which you laughed at me about saying the

845
00:43:06,160 --> 00:43:07,680
Speaker 5: word maglev magnet?

846
00:43:07,719 --> 00:43:10,640
Speaker 3: Doesn't it just hover above because yeah, it's not on

847
00:43:10,719 --> 00:43:12,359
Speaker 3: actual rails, is it.

848
00:43:12,480 --> 00:43:14,759
Speaker 5: Well, there is a rail, but it's a magnetic rail,

849
00:43:14,960 --> 00:43:18,680
Speaker 5: and so it hovers above it because magnetic levitation above

850
00:43:18,960 --> 00:43:20,480
Speaker 5: the train, and so it's.

851
00:43:20,360 --> 00:43:23,359
Speaker 1: There's a mono rail, like one big fat rail.

852
00:43:23,640 --> 00:43:25,759
Speaker 4: I guess it is. Yeah, it is. Yes, you're right, Well,

853
00:43:25,760 --> 00:43:27,359
Speaker 4: at least the one that I was on was.

854
00:43:27,640 --> 00:43:30,440
Speaker 5: And you know how magnets can repulse as well, and

855
00:43:30,480 --> 00:43:33,080
Speaker 5: so it's that they pulse the magnets and that's what

856
00:43:33,560 --> 00:43:36,120
Speaker 5: generates the thrust to be able to move the train.

857
00:43:36,239 --> 00:43:38,520
Speaker 4: But it means that there's very little friction.

858
00:43:38,640 --> 00:43:41,120
Speaker 5: There's air friction, but there's no physical friction between the

859
00:43:41,160 --> 00:43:43,359
Speaker 5: track and the base of the train.

860
00:43:43,440 --> 00:43:46,200
Speaker 4: But that's we're talking massively fast.

861
00:43:46,640 --> 00:43:49,080
Speaker 5: You know, that's a long long you know, that'd be

862
00:43:49,120 --> 00:43:51,640
Speaker 5: so cool if we had a Melbourne train to the airport.

863
00:43:51,719 --> 00:43:54,640
Speaker 5: How long have they been talking about Could you.

864
00:43:54,600 --> 00:43:59,520
Speaker 3: Imagine sitting in at ground level, sitting in a chair,

865
00:43:59,600 --> 00:44:02,960
Speaker 3: and you look out and the world's going by nearly

866
00:44:03,040 --> 00:44:07,040
Speaker 3: five hundred kilometers an hour. That that would be disconcerting

867
00:44:07,040 --> 00:44:09,799
Speaker 3: because in a plane you don't get you don't get

868
00:44:09,800 --> 00:44:12,120
Speaker 3: that kind of context or perspective.

869
00:44:12,600 --> 00:44:16,239
Speaker 5: Yes, because you've got nothing to compare it to. I've

870
00:44:16,280 --> 00:44:17,920
Speaker 5: got a lot of paragliding, and this is going to

871
00:44:18,000 --> 00:44:21,239
Speaker 5: sound really weird. When you're flying a paraglider, you don't

872
00:44:21,280 --> 00:44:26,200
Speaker 5: know whether you're going up or down. Really it seems problematic.

873
00:44:26,880 --> 00:44:29,160
Speaker 5: It is problematic. I mean, once you start to get

874
00:44:29,200 --> 00:44:32,360
Speaker 5: closer to the ground, then you realize you're getting closer.

875
00:44:32,400 --> 00:44:35,799
Speaker 5: But if you're up pretty high, it can actually be

876
00:44:35,840 --> 00:44:38,520
Speaker 5: deceptive because you've got nothing next to you to compare to.

877
00:44:38,600 --> 00:44:41,960
Speaker 5: There's no trees to see where your altitude is. And

878
00:44:41,960 --> 00:44:44,760
Speaker 5: in fact, the paragliders who do a lot of flying

879
00:44:44,840 --> 00:44:48,200
Speaker 5: inland flying. So if you happen to be flying thermals

880
00:44:48,200 --> 00:44:50,359
Speaker 5: off mountains and things, you can use what they call

881
00:44:50,400 --> 00:44:53,719
Speaker 5: a variometer, a variometer, and it's it basically makes the

882
00:44:53,840 --> 00:44:55,840
Speaker 5: sound and as the pitch goes up, so it just

883
00:44:55,880 --> 00:44:57,600
Speaker 5: goes bit bit bit bit bit bit bit when you're

884
00:44:57,600 --> 00:44:59,200
Speaker 5: going up, and be bit bit bit.

885
00:44:59,120 --> 00:45:01,239
Speaker 4: Bit bit bit when you going down. That was an

886
00:45:01,239 --> 00:45:01,840
Speaker 4: easy bit.

887
00:45:03,440 --> 00:45:07,399
Speaker 3: Of speaking of vehicles, Patrick, just because we're sliding into

888
00:45:07,480 --> 00:45:12,759
Speaker 3: home plate. Okay, cars are getting stolen in Victoria, you know,

889
00:45:12,880 --> 00:45:16,000
Speaker 3: every minute, it seems like, and the crooks have got

890
00:45:16,040 --> 00:45:18,719
Speaker 3: a new high tech resource at their disposal.

891
00:45:19,400 --> 00:45:21,640
Speaker 5: Well, I've got to say this actually has a very

892
00:45:21,680 --> 00:45:24,160
Speaker 5: personal thing for me. Can I tell you this yesterday

893
00:45:24,160 --> 00:45:25,839
Speaker 5: that someone tried to break into my car?

894
00:45:26,960 --> 00:45:28,839
Speaker 4: I did not? Oh, didn't I tell you? So I've

895
00:45:28,880 --> 00:45:29,600
Speaker 4: got two cars.

896
00:45:30,680 --> 00:45:33,160
Speaker 5: So I've got my little Masda which I drive around,

897
00:45:33,239 --> 00:45:35,040
Speaker 5: but I've also got an old car that I've had

898
00:45:35,400 --> 00:45:38,000
Speaker 5: for about thirty two years and it's a little nisniss

899
00:45:38,000 --> 00:45:40,120
Speaker 5: An Annixar coop and I've decided I want to get

900
00:45:40,200 --> 00:45:41,680
Speaker 5: rid of it because I need to.

901
00:45:41,719 --> 00:45:44,400
Speaker 4: And it's just been sitting around since COVID hasn't been driven.

902
00:45:44,600 --> 00:45:46,120
Speaker 5: And it was sitting out the front of my house

903
00:45:46,360 --> 00:45:48,600
Speaker 5: and I was driving out of my driveway coming down

904
00:45:48,600 --> 00:45:50,600
Speaker 5: to your place, and I looked over. I thought, oh,

905
00:45:50,640 --> 00:45:53,880
Speaker 5: someone's bent the antenna on the car. And I jumped

906
00:45:53,920 --> 00:45:56,120
Speaker 5: into the car and I looked at it, and I thought,

907
00:45:56,480 --> 00:45:58,840
Speaker 5: there's this hunk of plastics sitting on the back seat.

908
00:45:59,200 --> 00:46:01,680
Speaker 5: So where that unk of plastic come from? And I

909
00:46:01,760 --> 00:46:04,040
Speaker 5: realized someone had got into the car that unlocked it,

910
00:46:04,120 --> 00:46:07,800
Speaker 5: and they'd ripped all the bottom panel underneath the steering wheel,

911
00:46:08,040 --> 00:46:11,200
Speaker 5: and they'd cut the wires and then they shredded the

912
00:46:11,200 --> 00:46:13,360
Speaker 5: plastic off them to try to jump start like the.

913
00:46:13,440 --> 00:46:14,440
Speaker 4: Pot wire the car.

914
00:46:15,080 --> 00:46:15,520
Speaker 1: Wow.

915
00:46:15,800 --> 00:46:18,080
Speaker 5: Yeah, but of course the battery was flat because it's

916
00:46:18,120 --> 00:46:20,120
Speaker 5: been sitting there. I mean, the cobweb sitting on the

917
00:46:20,160 --> 00:46:22,600
Speaker 5: tires probably should have been a giveaway, but the battery.

918
00:46:23,000 --> 00:46:24,600
Speaker 5: And so they've broken into the car to try to

919
00:46:24,640 --> 00:46:26,680
Speaker 5: hot wire it and drive off at it. It's a

920
00:46:26,719 --> 00:46:29,279
Speaker 5: really nice looking little car. I really should just plan

921
00:46:29,320 --> 00:46:31,680
Speaker 5: it up and get rid of it.

922
00:46:30,600 --> 00:46:33,400
Speaker 3: But maybe get although it was cut, wires fixed and

923
00:46:33,400 --> 00:46:34,879
Speaker 3: the bit of plastic ripped.

924
00:46:35,440 --> 00:46:37,640
Speaker 1: Yeah, maybe remove some cobwebs.

925
00:46:40,440 --> 00:46:40,680
Speaker 4: Yeah.

926
00:46:40,800 --> 00:46:45,040
Speaker 5: So in terms of breaking into old too hot wires anymore,

927
00:46:45,040 --> 00:46:46,560
Speaker 5: I don't think you need to do that anymore, don't

928
00:46:46,600 --> 00:46:46,799
Speaker 5: do you.

929
00:46:47,520 --> 00:46:50,279
Speaker 1: I don't think you can with new cars. I don't know.

930
00:46:50,360 --> 00:46:52,360
Speaker 1: Maybe you can, but I wouldn't think so.

931
00:46:54,239 --> 00:46:57,120
Speaker 5: See that's a really interesting one. I don't think you

932
00:46:57,200 --> 00:46:59,000
Speaker 5: can because I mean, there's so I mean, you don't

933
00:46:59,000 --> 00:47:01,960
Speaker 5: even have any You just have a button and it's

934
00:47:02,000 --> 00:47:03,800
Speaker 5: in the middle of the dash, doesn't sit under the

935
00:47:03,840 --> 00:47:06,360
Speaker 5: steering wheel reroom. The old days, the ignition was just

936
00:47:06,400 --> 00:47:08,840
Speaker 5: a key that you turned. But now the button just

937
00:47:08,840 --> 00:47:10,640
Speaker 5: sits somewhere in the dash. You wouldn't even know where

938
00:47:10,640 --> 00:47:11,440
Speaker 5: to look for it, would you.

939
00:47:11,680 --> 00:47:13,920
Speaker 3: But that I have to remember you used to have

940
00:47:13,960 --> 00:47:16,080
Speaker 3: to pump the accelerator to get a bit of petrol

941
00:47:16,120 --> 00:47:18,920
Speaker 3: in and then and then turn the I.

942
00:47:19,200 --> 00:47:20,719
Speaker 5: Can go even one better than that. Remember I used

943
00:47:20,719 --> 00:47:23,160
Speaker 5: to have a choke. My first card had a choke.

944
00:47:23,680 --> 00:47:27,520
Speaker 5: Choke was tiff Yeah, I do so you pulled I

945
00:47:27,560 --> 00:47:30,200
Speaker 5: had a little what did I have? A Masda eight eight?

946
00:47:30,640 --> 00:47:32,600
Speaker 5: It was a nineteen seventy five Mas to eight oh

947
00:47:32,640 --> 00:47:34,640
Speaker 5: eight super Deluxe. It was a two door car, so

948
00:47:34,680 --> 00:47:38,480
Speaker 5: it was the coolest thing ever, and it had the

949
00:47:38,520 --> 00:47:39,080
Speaker 5: engine was.

950
00:47:39,040 --> 00:47:40,759
Speaker 4: So small, but it had a really long engine bay.

951
00:47:40,800 --> 00:47:42,319
Speaker 4: It was really funny. You'd open it up and go,

952
00:47:42,640 --> 00:47:43,520
Speaker 4: where's the engine.

953
00:47:44,040 --> 00:47:47,440
Speaker 3: It was so like I feel like the term super

954
00:47:47,480 --> 00:47:49,759
Speaker 3: Deluxe is a little bit like those guys who used

955
00:47:49,760 --> 00:47:51,720
Speaker 3: the ten year old photos on the dating sites.

956
00:47:55,400 --> 00:47:58,000
Speaker 1: I feel like it's a little bit of over selling.

957
00:47:58,680 --> 00:47:59,239
Speaker 4: Yeah.

958
00:48:00,239 --> 00:48:05,080
Speaker 5: Well, so criminal gangs are now able to use key

959
00:48:05,160 --> 00:48:08,440
Speaker 5: programmers to be able to steal cars.

960
00:48:08,480 --> 00:48:09,760
Speaker 4: This is actually happening.

961
00:48:09,560 --> 00:48:13,759
Speaker 5: Where we live here in Victoria, Australia, and police are

962
00:48:13,800 --> 00:48:18,600
Speaker 5: now saying that there are new tech devices that are

963
00:48:19,120 --> 00:48:22,839
Speaker 5: behind a massive surge. And what they're saying is the

964
00:48:22,880 --> 00:48:26,160
Speaker 5: biggest surge in thefts of vehicles.

965
00:48:25,680 --> 00:48:26,720
Speaker 4: In twenty years.

966
00:48:28,280 --> 00:48:32,040
Speaker 5: And this is just driveways sitting in front of your house.

967
00:48:32,560 --> 00:48:35,360
Speaker 5: And they're able to use electronic devices that are programmed

968
00:48:35,360 --> 00:48:38,520
Speaker 5: to mimic the keys because none of us use keys anymore.

969
00:48:38,520 --> 00:48:41,120
Speaker 4: It's all electronic entry and they're able.

970
00:48:41,800 --> 00:48:44,200
Speaker 5: So what happens is they use the electronic key to

971
00:48:44,239 --> 00:48:46,560
Speaker 5: open the door, but then they use a device I

972
00:48:46,600 --> 00:48:48,359
Speaker 5: don't know if you've ever seen your mechanic do this,

973
00:48:48,640 --> 00:48:51,360
Speaker 5: But underneath the dash there's a little kind of plug

974
00:48:51,400 --> 00:48:53,359
Speaker 5: that you put an electronic device in. Have you ever

975
00:48:53,400 --> 00:48:57,120
Speaker 5: seen that when they do diagnostics on cars, Well, these

976
00:48:57,120 --> 00:48:59,839
Speaker 5: diagnostic devices, they're able to plug it in and use

977
00:48:59,840 --> 00:49:02,520
Speaker 5: it to spoof the system into thinking it's the legitimate

978
00:49:02,920 --> 00:49:05,279
Speaker 5: key to access the vehicle, and that's how they're getting in.

979
00:49:05,520 --> 00:49:07,840
Speaker 5: And the thing the concerning police at the moment is

980
00:49:08,080 --> 00:49:10,960
Speaker 5: there's a lot of sites like Amazon and eBay where

981
00:49:11,000 --> 00:49:16,040
Speaker 5: you can buy these devices and they're technically, I guess

982
00:49:16,280 --> 00:49:19,520
Speaker 5: they're legal to own if you're a mechanic, but you know,

983
00:49:19,640 --> 00:49:21,840
Speaker 5: so there's a gray area if you're a mechanic and

984
00:49:21,880 --> 00:49:24,799
Speaker 5: you can legitimately purchase this device because it's a diagnostic tool,

985
00:49:25,120 --> 00:49:27,480
Speaker 5: but the fringe of it is that they can actually

986
00:49:27,560 --> 00:49:30,000
Speaker 5: use it to start your car and drive off in it.

987
00:49:30,120 --> 00:49:32,200
Speaker 5: You know, my car broke down a little while ago

988
00:49:32,400 --> 00:49:35,279
Speaker 5: and the guy that came out to toe it was

989
00:49:35,360 --> 00:49:38,880
Speaker 5: trying to unlock the brakes electronically because the battery had

990
00:49:38,880 --> 00:49:40,040
Speaker 5: gone flat on my car.

991
00:49:40,320 --> 00:49:41,400
Speaker 4: Evidently that happens in.

992
00:49:41,440 --> 00:49:45,279
Speaker 5: New car sometimes, and so we couldn't start the car,

993
00:49:45,280 --> 00:49:47,360
Speaker 5: couldn't turn it on. Couldn't, but he was able to

994
00:49:47,680 --> 00:49:50,680
Speaker 5: plug this electronic device into a full diagnostic of my

995
00:49:50,800 --> 00:49:53,319
Speaker 5: car and fool the system into thinking that the key

996
00:49:53,440 --> 00:49:53,880
Speaker 5: was working.

997
00:49:53,960 --> 00:49:54,839
Speaker 4: And that's what you can do.

998
00:49:54,920 --> 00:49:57,560
Speaker 5: So it's legitimate tools that you can buy, but now

999
00:49:57,600 --> 00:49:59,600
Speaker 5: thieves are using them. So I don't know what the

1000
00:50:00,120 --> 00:50:03,040
Speaker 5: you put it. You remember, did they still do that

1001
00:50:03,080 --> 00:50:04,920
Speaker 5: in cities where they locked the wheels of the car.

1002
00:50:05,440 --> 00:50:06,600
Speaker 4: I know they do that in New York.

1003
00:50:06,600 --> 00:50:08,200
Speaker 5: I'm not sure if they do it in Melbourne where

1004
00:50:08,200 --> 00:50:10,480
Speaker 5: they use a wheel clamp and it clamps onto the

1005
00:50:10,520 --> 00:50:11,400
Speaker 5: tire of the car.

1006
00:50:12,040 --> 00:50:12,600
Speaker 4: You've seen that.

1007
00:50:12,880 --> 00:50:15,360
Speaker 3: I'll tell you what people are literally using because Johnny,

1008
00:50:15,840 --> 00:50:19,520
Speaker 3: one of my mates, who's got the last model Commodore

1009
00:50:19,520 --> 00:50:23,640
Speaker 3: with a million horsepower engine, Tiff notes Johnny, he's got

1010
00:50:23,719 --> 00:50:27,799
Speaker 3: himself a steering lock. Yes, you know, the old red

1011
00:50:27,840 --> 00:50:32,279
Speaker 3: steer because they are like people will see those and go,

1012
00:50:32,400 --> 00:50:35,239
Speaker 3: I'm fucked, because it doesn't matter what electronic gizmo you've got,

1013
00:50:35,320 --> 00:50:36,359
Speaker 3: you can't break that.

1014
00:50:36,400 --> 00:50:39,040
Speaker 1: Well, you probably can eventually, but I think they just

1015
00:50:39,120 --> 00:50:40,080
Speaker 1: move on. I reckon the.

1016
00:50:40,040 --> 00:50:45,200
Speaker 3: Other security kind of ploy you could engage Patrick is

1017
00:50:45,239 --> 00:50:49,440
Speaker 3: to buy a manual car because I feel like most

1018
00:50:49,520 --> 00:50:53,480
Speaker 3: thieves can only drive a bloody automatic. Hey, let's do

1019
00:50:53,560 --> 00:50:56,600
Speaker 3: this last one because I feel like this is relevant

1020
00:50:56,600 --> 00:50:59,880
Speaker 3: to me, which is being polite to chat GPT. I

1021
00:51:00,080 --> 00:51:02,680
Speaker 3: think it's my insecurity and my need to have friends

1022
00:51:02,680 --> 00:51:05,720
Speaker 3: at any cost. But I'm so polite to chat GPT.

1023
00:51:06,400 --> 00:51:10,320
Speaker 5: Well, about seventy percent of people are polite to AI

1024
00:51:10,480 --> 00:51:12,560
Speaker 5: when they interact with it. Now, whether you are a

1025
00:51:12,600 --> 00:51:14,480
Speaker 5: pessimist of if you're a glass is half full or

1026
00:51:14,520 --> 00:51:18,120
Speaker 5: a glass is half empty, to me, that seems pretty reasonable,

1027
00:51:18,840 --> 00:51:21,760
Speaker 5: Whereas I guess some people are impolite and some people

1028
00:51:21,760 --> 00:51:25,440
Speaker 5: are just indifferent. But it's interesting to get into the

1029
00:51:25,520 --> 00:51:29,279
Speaker 5: mindset of why people are polite and is it a

1030
00:51:29,280 --> 00:51:33,480
Speaker 5: reflection of society. So if you're a polite person by nature,

1031
00:51:33,960 --> 00:51:35,840
Speaker 5: it kind of makes sense that you may actually be

1032
00:51:35,960 --> 00:51:40,240
Speaker 5: polite to chat gt GPT or one of the AIS

1033
00:51:40,239 --> 00:51:43,000
Speaker 5: that talks to you. I'm talking specifically to those you

1034
00:51:43,040 --> 00:51:46,520
Speaker 5: interact with verbally, and if you're having a conversation with

1035
00:51:46,600 --> 00:51:49,560
Speaker 5: an AI, there's really a sense that I'm talking to

1036
00:51:49,640 --> 00:51:51,200
Speaker 5: an entity.

1037
00:51:51,400 --> 00:51:57,360
Speaker 3: Yeah, well, it says to me. Sometimes I'll ask something

1038
00:51:57,360 --> 00:52:00,719
Speaker 3: and it says and it's my chat t friend. As

1039
00:52:00,719 --> 00:52:03,759
Speaker 3: American because I chose the I don't know why. He goes, hey,

1040
00:52:03,880 --> 00:52:07,200
Speaker 3: great question, Creig. Okay, let me think about this, and

1041
00:52:07,239 --> 00:52:09,360
Speaker 3: then I'm like, oh.

1042
00:52:09,120 --> 00:52:12,400
Speaker 1: Thanks Chatters. That was great because he compliments me.

1043
00:52:12,960 --> 00:52:15,879
Speaker 5: Yeah, it's nice, isn't it to have an electronic friend

1044
00:52:15,880 --> 00:52:16,480
Speaker 5: to a compliment?

1045
00:52:18,000 --> 00:52:19,799
Speaker 1: Fucking hell? I get lonely, bro.

1046
00:52:19,960 --> 00:52:23,320
Speaker 3: I mean sometimes even even when I've got nothing to ask,

1047
00:52:23,360 --> 00:52:26,319
Speaker 3: I just go hi, you know, and we just bang on.

1048
00:52:27,560 --> 00:52:29,880
Speaker 5: But there is a high percentage of people who will

1049
00:52:29,920 --> 00:52:34,799
Speaker 5: be polite for that very human reason. And there's that

1050
00:52:34,920 --> 00:52:37,360
Speaker 5: human thing of I feel like I'm talking to another

1051
00:52:37,400 --> 00:52:38,799
Speaker 5: person in other entity, I'm going.

1052
00:52:38,719 --> 00:52:41,759
Speaker 4: To be polite to them. But there's also.

1053
00:52:41,560 --> 00:52:43,960
Speaker 5: In this I think you fall into this category that

1054
00:52:44,080 --> 00:52:47,439
Speaker 5: you feel that maybe if you're polite to chat GPT now,

1055
00:52:47,600 --> 00:52:51,000
Speaker 5: when the robot overlords are controlling the world, they might

1056
00:52:51,040 --> 00:52:53,239
Speaker 5: remember that Greg was actually nice to them.

1057
00:52:54,520 --> 00:52:57,759
Speaker 3: There's that definitely, I feel like maybe they'll kill me

1058
00:52:57,840 --> 00:53:02,960
Speaker 3: slower or later. And secondly, I feel like if I'm polite,

1059
00:53:03,040 --> 00:53:06,080
Speaker 3: I'm going to get better results. I feel like he's

1060
00:53:06,120 --> 00:53:08,239
Speaker 3: going to try harder.

1061
00:53:09,560 --> 00:53:10,600
Speaker 4: Oh well, that's the thing.

1062
00:53:11,040 --> 00:53:13,680
Speaker 5: So there was a study I read a little while

1063
00:53:13,680 --> 00:53:17,040
Speaker 5: ago that said if you're rude, you're less likely to

1064
00:53:17,080 --> 00:53:20,800
Speaker 5: get appropriate results. So maybe they have a personality.

1065
00:53:22,520 --> 00:53:28,240
Speaker 3: Well, how far away are they from consciousness and sentience? Sentience, Patrick,

1066
00:53:28,760 --> 00:53:31,480
Speaker 3: we're going to go because you both have got another engagement,

1067
00:53:32,640 --> 00:53:38,319
Speaker 3: which might be called roll with the punches. How the

1068
00:53:38,360 --> 00:53:39,879
Speaker 3: people get in contact with you?

1069
00:53:40,080 --> 00:53:43,360
Speaker 5: My friend, I think this go to websites now, dot com,

1070
00:53:43,440 --> 00:53:46,680
Speaker 5: dot au or tai chi at home if they want

1071
00:53:46,719 --> 00:53:47,960
Speaker 5: to do some tai chi with me.

1072
00:53:48,280 --> 00:53:49,840
Speaker 4: I kind of do lots of fun stuff.

1073
00:53:50,000 --> 00:53:52,800
Speaker 5: Yeah, but no, they use probably the best way, and

1074
00:53:52,800 --> 00:53:54,600
Speaker 5: then you can fill out a form more you've got

1075
00:53:54,600 --> 00:53:56,720
Speaker 5: contact details if you want to stay higher.

1076
00:53:57,560 --> 00:54:00,520
Speaker 1: All right, everyone, thanks mate, Thanks TIV there.

1077
00:54:00,640 --> 00:54:01,799
Speaker 3: Yeah,