Latest / The You Project / #2033 Full Moons, Home Robots & Falling In Love With AI - Patrick Bonello

Transcript

#2033 Full Moons, Home Robots & Falling In Love With AI - Patrick Bonello · The You Project

• 0:00
  Speaker 1: I get a team. It's Patrick and Jumbo, It's the
• 0:02
  Speaker 1: Bloody Project, that's you. It's tech Friday, while it's Fridays,
• 0:06
  Speaker 1: we're recording. Hi, mate, how are you look?
• 0:09
  Speaker 2: I'm not doing too bad. I you know, it's a
• 0:12
  Speaker 2: little bit earlier for me because you know, yes, your
• 0:15
  Speaker 2: text last night. Can we do it an hour and
• 0:17
  Speaker 2: a half earlier? And that's good. But I made the
• 0:19
  Speaker 2: mistake of having a bagel with fake chicken on it?
• 0:26
  Speaker 1: Is that? What?
• 0:27
  Speaker 2: Oh?
• 0:27
  Speaker 1: I know that fake bacon's called faken? What's that is? Right?
• 0:31
  Speaker 1: Isn't it? Do they call it facn fake bacon?
• 0:35
  Speaker 2: Well, people call it fake facon, but no, so it
• 0:37
  Speaker 2: was a chicken. Well. So a few weeks ago, I
• 0:41
  Speaker 2: was crook and I ordered some groceries online. And I
• 0:45
  Speaker 2: might be a bit of a tight ass sometimes. So
• 0:47
  Speaker 2: there's a little algorithm you click what's on special and vegan,
• 0:51
  Speaker 2: and it lists all the stuff that's on special to
• 0:53
  Speaker 2: shop with, which is kind of makes sense. So I
• 0:56
  Speaker 2: bought all this stuff, but I bought way too much stuff.
• 1:00
  Speaker 2: And then yesterday I realized that everything was best before today,
• 1:04
  Speaker 2: So I thought, oh man, I'm gonna eat it. So
• 1:08
  Speaker 2: I'm eating it for the sake of it be eaten
• 1:11
  Speaker 2: so I don't have to throw it out because I
• 1:12
  Speaker 2: hate wasting food and I never eat something heavy in
• 1:15
  Speaker 2: the morning. It's normally as smoothie and normally after I've
• 1:18
  Speaker 2: been to the gym. So I haven't been to the gym.
• 1:20
  Speaker 2: I haven't walked the dog. Fritz is laying on the
• 1:23
  Speaker 2: chair next to me, feeling totally dejected. He's just put
• 1:26
  Speaker 2: his head up to see what I was talking about.
• 1:29
  Speaker 2: And then I've eaten this bagel with avocado. It kind
• 1:34
  Speaker 2: of would have been nice that maybe lunchtime, but definitely
• 1:38
  Speaker 2: not ten minutes before sitting down to do a podcast.
• 1:41
  Speaker 2: So in general, I'm great, and thank you for donating
• 1:45
  Speaker 2: to that fundraiser that I've been raising for all this month,
• 1:48
  Speaker 2: because I'm welcome number two in Australia, Crago. How good
• 1:51
  Speaker 2: is that?
• 1:52
  Speaker 1: You're a little champion fundraiser. Can I just I want
• 1:55
  Speaker 1: to reinquire, just briefly, why do vegans who don't like
• 2:00
  Speaker 1: meat constantly have meat? You know, it's like fake beef,
• 2:04
  Speaker 1: fake chicken, fake bacon.
• 2:07
  Speaker 2: Now, I see, I'm not a vegan who doesn't like meat.
• 2:09
  Speaker 2: I'm a vegan who doesn't eat meat ethically because I
• 2:12
  Speaker 2: can't bear the thought of an animal being killed. So
• 2:15
  Speaker 2: if you have about I'll walk past and think, hm,
• 2:18
  Speaker 2: that smells okay. You know a rack of lamb. Gee,
• 2:21
  Speaker 2: rack of lamb would have been good. But I just
• 2:23
  Speaker 2: don't know the idea of the little lamb not being
• 2:26
  Speaker 2: there anymore. That's what doesn't for me.
• 2:29
  Speaker 1: You know. I was listening to this podcast where they
• 2:31
  Speaker 1: were talking about this, and they're talking about I'll find
• 2:34
  Speaker 1: it for you, and I probably shouldn't send it to you,
• 2:36
  Speaker 1: But they were talking about how, you know, people who
• 2:38
  Speaker 1: are vegans for ethical reasons, which is completely legit, totally understandable.
• 2:43
  Speaker 1: But then they were talking about the amount of insects
• 2:46
  Speaker 1: and small animals that get destroyed in the cultivating of
• 2:50
  Speaker 1: acres of vegetables. And it's like squirrels and like get
• 2:56
  Speaker 1: you know, it's like carnage in the harvesting your vegetables.
• 3:01
  Speaker 2: So you know, in the harvesting of the food product
• 3:04
  Speaker 2: that goes to feeding cattle. You know, again, happened everywhere. Yeah,
• 3:09
  Speaker 2: this is impossible not to kill insects and small squirrels.
• 3:14
  Speaker 1: Squirrels and bloody ground nesting rodents.
• 3:17
  Speaker 2: And shit, it's a funny mogument, though, isn't it.
• 3:20
  Speaker 1: I want to ask you. I want to ask you
• 3:22
  Speaker 1: about before we jump in to whatever it is we're
• 3:25
  Speaker 1: talking about. So, how much of your shopping is online?
• 3:31
  Speaker 1: Because like a lot, we have younger listeners, but we
• 3:33
  Speaker 1: also have a lot of listeners who are kind of
• 3:35
  Speaker 1: forty five plus, and then we have a few in
• 3:37
  Speaker 1: their sixties. And I'm going to say, honestly, I've never
• 3:39
  Speaker 1: bought one thing ever in the history of me online.
• 3:43
  Speaker 1: I've never bought an online thing, which is no particular reason.
• 3:47
  Speaker 1: I don't have an aversion to it. But let's say
• 3:50
  Speaker 1: you bought let's say you spent ten grand a year.
• 3:53
  Speaker 1: I'm just plucking a number. How much of that ten
• 3:56
  Speaker 1: grand would you spend online?
• 3:59
  Speaker 2: Look general shopping, I time it so that I do
• 4:02
  Speaker 2: shopping on a Wednesday after my tai chi class. I
• 4:05
  Speaker 2: specifically sit up the class so I can go shopping
• 4:07
  Speaker 2: in the next town across because we don't have a
• 4:09
  Speaker 2: you know, we don't have a Coals or an Aldi
• 4:11
  Speaker 2: in our little town. And so for food shopping generally,
• 4:15
  Speaker 2: I do that fresh because and the other thing is
• 4:17
  Speaker 2: vegetables and fruit. I'm not going to get someone to
• 4:19
  Speaker 2: pre pack that and choose what I'm going to pick
• 4:21
  Speaker 2: off shelf. I like to do that myself. But technology
• 4:25
  Speaker 2: I would do totally online ups an uninterruptable power supply.
• 4:30
  Speaker 2: It's basically a big battery that sits between the wall
• 4:33
  Speaker 2: and your computer. So if the power goes out or
• 4:35
  Speaker 2: there's a brown out where the power drops, it means
• 4:38
  Speaker 2: your computer and your monitors will stay running. And also
• 4:40
  Speaker 2: it protects your computer. But I bought that online. There's
• 4:43
  Speaker 2: no way that I'd bother driving half an hour somewhere
• 4:46
  Speaker 2: to shop around and buy one. And also because a
• 4:49
  Speaker 2: lot of companies have pretty good delivery rates, you know,
• 4:52
  Speaker 2: couriers are not too bad.
• 4:53
  Speaker 1: So I fact what your impulse? What's your impulse control like?
• 4:56
  Speaker 1: Because I feel like you might see shit and go,
• 4:59
  Speaker 1: oh my god, look could that a drone helicopter that's
• 5:02
  Speaker 1: only ninety five dollars that can deliver my dinner? That
• 5:07
  Speaker 1: How often do you just buy shit that you didn't
• 5:09
  Speaker 1: get on line to buy, Like, it's just you see
• 5:12
  Speaker 1: something and you have no self restraint.
• 5:15
  Speaker 2: Now champagne taste on a beer budget, Crego. The problem
• 5:19
  Speaker 2: is most of the check tech that I'm interested in
• 5:22
  Speaker 2: is way too expensive. Today. For example, I was looking
• 5:25
  Speaker 2: at and actually I wasn't looking at this for myself.
• 5:27
  Speaker 2: I was looking at it as a gift for a
• 5:29
  Speaker 2: girlfriend to mine. But there's these e ink photo frames
• 5:34
  Speaker 2: that look like real painting. So it's twenty seven inches.
• 5:37
  Speaker 2: So imagine you've got a framed painting on your wall
• 5:40
  Speaker 2: and it's a stunning painting by Van Goh or something. Well,
• 5:44
  Speaker 2: it actually made of e ink, and so it's got
• 5:47
  Speaker 2: a really nice texture. It looks like it's painted on,
• 5:51
  Speaker 2: and then you can have any picture on there. You
• 5:52
  Speaker 2: can put your own photo, so it's a real step
• 5:54
  Speaker 2: up from traditional photo frames. But I think it was
• 5:57
  Speaker 2: like six one hundred and ninety nine pounds, so oh wow. Yeah,
• 6:01
  Speaker 2: there's no way I was going to buy it. So
• 6:03
  Speaker 2: I kind of drawol over a lot of tech, but
• 6:05
  Speaker 2: I don't. I think I'm pretty good with my money.
• 6:07
  Speaker 2: I don't jump in and buy stuff here. So in
• 6:10
  Speaker 2: answer to your question, I have a little bit of
• 6:12
  Speaker 2: self restraint. But that's purely budgetry. If I was a billionaire,
• 6:15
  Speaker 2: to be ridiculous, i'd need multiple houses and sheds.
• 6:19
  Speaker 1: I've just been listening to the last book in the
• 6:22
  Speaker 1: terminal list while I think it's the last book the
• 6:24
  Speaker 1: Terminal List series, which is a guy called James Reese
• 6:27
  Speaker 1: is the lead character. There was a movie in a
• 6:29
  Speaker 1: TV series which was definitely nowhere near as good as
• 6:32
  Speaker 1: the books. But anyway, and in the last book, which
• 6:36
  Speaker 1: has written last year, the central character, apart from James Reese,
• 6:43
  Speaker 1: is a quantum computer called Alice. Oh my god, Oh
• 6:47
  Speaker 1: my god it is. It is a steep learning curve
• 6:52
  Speaker 1: in understanding, like for me, and that the guy who
• 6:55
  Speaker 1: wrote it, Jack Carr, I think his name is. It's
• 6:58
  Speaker 1: so brilliant section of espionage and politics and war and
• 7:03
  Speaker 1: quantum computing and personalities and fucking amazing book. Like for me,
• 7:10
  Speaker 1: I'm a dude, so you know, some people might go, ah,
• 7:14
  Speaker 1: but I really liked it and too, and it's incredibly
• 7:18
  Speaker 1: researched and that the and obviously in the conversation through
• 7:23
  Speaker 1: the book, you know, they have where some some tech
• 7:26
  Speaker 1: dudes explaining to the lead character what a quantum computer
• 7:29
  Speaker 1: is and its capacity and its power, and so they're
• 7:32
  Speaker 1: trying to explain to the dumb readers like me who
• 7:35
  Speaker 1: are like, what a quantum computer? You know, It's like
• 7:39
  Speaker 1: I'm like that shit when that shit becomes commonplace, We're
• 7:44
  Speaker 1: all fucked. I mean, there's going to be no security.
• 7:47
  Speaker 1: Nobody's gonna like it can do so super computers, so computers,
• 7:53
  Speaker 1: and then super computing, and then quantum computing. It can
• 7:57
  Speaker 1: do what a supercomputer can do times a million, ten seconds.
• 8:01
  Speaker 1: I'm like, oh, it's the end of the world. I'll
• 8:03
  Speaker 1: be dead by then. But it ain't seemingly it seemingly
• 8:08
  Speaker 1: ain't that far away.
• 8:10
  Speaker 2: Yeah, that's right. The other exciting thing though about quantum
• 8:13
  Speaker 2: computing is that it can run computational models that could
• 8:18
  Speaker 2: look at, say, combining drugs, so for example, when you're
• 8:22
  Speaker 2: doing rigorous testing of what drugs and I think the
• 8:25
  Speaker 2: future for health is that we will have tailor made
• 8:29
  Speaker 2: drugs for you and I where you don't just get
• 8:33
  Speaker 2: a script, you to look at what your genetic background
• 8:37
  Speaker 2: is and it will match the drug to whatever the
• 8:40
  Speaker 2: illness or ailment is. And the type of computer models
• 8:44
  Speaker 2: mean that they will be able to use quantum computers
• 8:46
  Speaker 2: to do computational tasks that would have taken thousands of
• 8:50
  Speaker 2: years literally, you know, and do it in such a
• 8:52
  Speaker 2: small out of time that we will be able to
• 8:55
  Speaker 2: easily tailor things like that. So I think from a
• 8:57
  Speaker 2: health perspective, the idea of quantum computing to help with
• 9:03
  Speaker 2: drug research is going to be phenomenal. It's going to
• 9:06
  Speaker 2: be amazing to.
• 9:07
  Speaker 1: See all personalized medicine. It's already happening. It's already happening
• 9:11
  Speaker 1: doctor Denise Finess from Coinslane that we have on all
• 9:13
  Speaker 1: the time. So what they do is, and she does this,
• 9:17
  Speaker 1: they literally sample your DNA and build you build your
• 9:22
  Speaker 1: medicine in inverted commas. Now whether or not that's a
• 9:25
  Speaker 1: drug or a supplement or or you know, some kind
• 9:29
  Speaker 1: of lifestyle component or factor, but yeah, you're you're and
• 9:34
  Speaker 1: it's just going to get better and better. Where we're
• 9:38
  Speaker 1: literally going, oh, well, here's Patrick's DNA, here's Craig's DNA.
• 9:42
  Speaker 1: They've both got a headache, but they don't need the
• 9:46
  Speaker 1: same drug because they don't have the same physiology or
• 9:51
  Speaker 1: Patrick needs more energy, or Craig needs more energy, or
• 9:54
  Speaker 1: you know whatever it is. So that is that is exciting.
• 9:58
  Speaker 1: But then I think about that to us in first
• 10:01
  Speaker 1: world countries getting that, the people in the third world
• 10:04
  Speaker 1: countries are not getting that, are they?
• 10:06
  Speaker 2: And I've got to say, Katie, probably will I'm just
• 10:08
  Speaker 2: going to say hi to Katie. She sent me the
• 10:10
  Speaker 2: nicest email early in the week. Did I forward it
• 10:13
  Speaker 2: to you? So I'm sure I did. You just ignore
• 10:17
  Speaker 2: me because you tend to do that.
• 10:18
  Speaker 1: I get a lot of emails. Well, you do know
• 10:21
  Speaker 1: what was going on in my week this week, so
• 10:24
  Speaker 1: you can give me a chop out. Also, I was
• 10:25
  Speaker 1: in Queensland for two days.
• 10:28
  Speaker 2: Yeah, you've had a pretty crap week, to be honest.
• 10:30
  Speaker 1: I spent the first two days in Queensland Monday Tuesday.
• 10:32
  Speaker 1: Then Wednesday is sitting all day in a hospital with
• 10:35
  Speaker 1: my old man, and yesterday was the first day that
• 10:37
  Speaker 1: I was back kind of on deck.
• 10:38
  Speaker 2: So actually it was two weeks ago that I think
• 10:40
  Speaker 2: of it, so it's even longer ago than that.
• 10:42
  Speaker 1: What did What did Katie say? Is Katie got a
• 10:44
  Speaker 1: hard crush on you?
• 10:47
  Speaker 2: Yeah? Kind of. No, one not don't really. She's just
• 10:49
  Speaker 2: one of our listeners. And she said she she loves
• 10:51
  Speaker 2: this segment makes her laugh a lot and she can't
• 10:53
  Speaker 2: even see us.
• 10:54
  Speaker 1: How good is that? Wow? She laughed any more? Yeah, hey, Katie,
• 11:00
  Speaker 1: for you and our listeners, we might start working through
• 11:03
  Speaker 1: Patrick's list for those who are I guess we should
• 11:06
  Speaker 1: take didn't we Yeah, Patrick sends me a list of
• 11:08
  Speaker 1: shit that we talk about. I'm looking now there are
• 11:13
  Speaker 1: hang on, stop talking over me. I'll come over there
• 11:16
  Speaker 1: and jump on your bloody mobile vacuum. There's probably twenty
• 11:23
  Speaker 1: twenty to twenty five things on this list. Now, if
• 11:26
  Speaker 1: we talk about each for two minutes, we still don't
• 11:29
  Speaker 1: have time. What how about I love how you've introduced
• 11:34
  Speaker 1: a psychology and biology section in our tech show. You
• 11:39
  Speaker 1: know that that's my space, right.
• 11:43
  Speaker 2: But it's cutting each stuff, you know. I think?
• 11:46
  Speaker 1: Is it biology and psychology intersecting with technology? Is that
• 11:50
  Speaker 1: what you're saying? Yeah, all right, Well you start you
• 11:55
  Speaker 1: just start there wherever you want.
• 11:57
  Speaker 2: Look. I don't know about you, but one of my
• 11:59
  Speaker 2: biggest fears is meeting someone and then thirty seconds later
• 12:03
  Speaker 2: forgetting their name struck. I'm terrible with that, and I
• 12:07
  Speaker 2: really it's become a bit of almost a phobia for me,
• 12:10
  Speaker 2: because I really try hard to remember people's names. So
• 12:14
  Speaker 2: I read an article recently about little processes that you
• 12:18
  Speaker 2: can put into place, and I think most of us
• 12:20
  Speaker 2: do this is you repeat the name back. So someone
• 12:22
  Speaker 2: says Hi, Craig, and I repeat your name a few times,
• 12:26
  Speaker 2: but it can be a bit tacky as well, but
• 12:29
  Speaker 2: it actually is not a bad idea. Also, once you've
• 12:32
  Speaker 2: repeated the name, and if you're out of the room
• 12:34
  Speaker 2: or whatever, talk to yourself. You know, smart people tend
• 12:38
  Speaker 2: to talk to themselves. Do you talk to yourself much?
• 12:40
  Speaker 2: Because I talk to my dog? I don't know that
• 12:42
  Speaker 2: I talk to myself, And now that I think of it,
• 12:43
  Speaker 2: I'm doing it now, aren't I?
• 12:45
  Speaker 1: Yeah?
• 12:45
  Speaker 2: So anyway, Yeah, I talk to myself. What about you, Crago?
• 12:49
  Speaker 1: Well, I do not in the sense that I'm I'm
• 12:53
  Speaker 1: going back and forth in a two way conversation. I
• 12:56
  Speaker 1: don't think that's particularly indicative indicative of mental health. But yeah,
• 13:03
  Speaker 1: Like I mean, I live by myself, so I say
• 13:06
  Speaker 1: shit out loud all the time. Usually it's something like
• 13:09
  Speaker 1: you fucking idiot, you know? But yes, there was a.
• 13:12
  Speaker 2: Study published in Learning, Memory, and Cognition, and it found
• 13:16
  Speaker 2: that saying words out loud or just mouthing them even
• 13:20
  Speaker 2: can make them more distinctive and writing it to the
• 13:23
  Speaker 2: hard drive. The other thing that's really interesting in this
• 13:27
  Speaker 2: article was it talked about predicting whether you will remember.
• 13:31
  Speaker 2: So when I say to myself, I never remember people's names,
• 13:35
  Speaker 2: you're almost putting yourself into the mindset of not remembering
• 13:38
  Speaker 2: the names. So if you change that around and say, yep,
• 13:41
  Speaker 2: always remember people's names, it actually will help when it
• 13:44
  Speaker 2: goes to remembering what people's names are or you know,
• 13:48
  Speaker 2: events or bits and pieces like that. So you're trying
• 13:50
  Speaker 2: to I think replaying it. I say to my students
• 13:53
  Speaker 2: when I'm doing tai chi that even driving home, if
• 13:56
  Speaker 2: they've learned some new moves, visualizing the moves, so they've
• 14:00
  Speaker 2: just spent a session learning some new moves in a
• 14:03
  Speaker 2: new form, and then when you're driving home, just visualize
• 14:06
  Speaker 2: it and that again helps still that memory into an
• 14:09
  Speaker 2: area where you'll be able to recall it.
• 14:11
  Speaker 1: I We've had a guy makes sense. We've had a
• 14:14
  Speaker 1: guy in here a couple of times called Heston Russell,
• 14:16
  Speaker 1: which is you know Heston Russell. He's the Australian soldier.
• 14:21
  Speaker 2: That uh a man crashed on for a while.
• 14:26
  Speaker 1: Yeah yeah, yeah, yeah, like super duper great soldier, got
• 14:31
  Speaker 1: in the middle of there was some controversy which was
• 14:35
  Speaker 1: bullshit surrounding him. Anyway, he got totally cleared and it exonerated.
• 14:40
  Speaker 1: He's a weapon. Great dude. He's been on the show anyway,
• 14:43
  Speaker 1: his name's Heston Russell, as I said, and I don't
• 14:46
  Speaker 1: know anyone called Heston, and I couldn't. A couple of
• 14:49
  Speaker 1: times I'm like down the track, I'm like, what was
• 14:52
  Speaker 1: what is his name? Because it's not like Dave or
• 14:54
  Speaker 1: Patrick or'brian, and so then I would think of Charlton
• 14:58
  Speaker 1: Heston and those old Gladiator movies. So whenever I think
• 15:02
  Speaker 1: of Heston, the first thing I think of as an
• 15:04
  Speaker 1: old Gladiator movie and I'm like, oh, it's Heston Russell, right.
• 15:09
  Speaker 1: But I think. The other thing that I do is
• 15:11
  Speaker 1: if I meet somebody and I straightway have a visual
• 15:15
  Speaker 1: association of them and another person that I know with
• 15:18
  Speaker 1: the same name, So when I see them, I always
• 15:22
  Speaker 1: remember the face of the other person, so I know
• 15:24
  Speaker 1: their name and I pick the most Like let's say
• 15:27
  Speaker 1: it's Andrew. We both know Andrew Jobbling, right, so I
• 15:31
  Speaker 1: would I would pick Jobbers's face, So I would I'd
• 15:35
  Speaker 1: go because I'm going to forget Andrew, because I'm going
• 15:37
  Speaker 1: to meet thirteen people today and I'm gonna I'm going
• 15:40
  Speaker 1: to get told their names, I'm going to shake their hand,
• 15:43
  Speaker 1: and then I'm going to see them this afternoon at
• 15:45
  Speaker 1: this conference, and I'm gonna have no fucking clue, So
• 15:48
  Speaker 1: I always have a for me, that's what. Yeah, Because
• 15:51
  Speaker 1: I'm like you, just trying to remember a name with
• 15:54
  Speaker 1: no kind of association to anything else. I struggle. But
• 15:58
  Speaker 1: if I can link that that that person's face with
• 16:03
  Speaker 1: another person's face that I know, well, then problem solved
• 16:07
  Speaker 1: for me.
• 16:08
  Speaker 2: Except if you're doing a lineup, and then you're going
• 16:10
  Speaker 2: to be really shit because you're going to be fingering
• 16:12
  Speaker 2: the wrong person.
• 16:14
  Speaker 1: Do you know I was talking to I was talking
• 16:16
  Speaker 1: to somebody yesterday about you know, those those guys and girls.
• 16:21
  Speaker 1: I don't know that I've seen a female mentalist, but
• 16:24
  Speaker 1: I'm sure they are. But a couple of guys that
• 16:26
  Speaker 1: I've seen. There was a guy who came to Melbourne
• 16:29
  Speaker 1: a couple of years ago. If you've not seen him,
• 16:32
  Speaker 1: here is fucking incredible. His name is Leorshad l Io R. Soushad.
• 16:38
  Speaker 1: He's a mentalist and he did all this incredible stuff
• 16:41
  Speaker 1: on stage, you know, all this mind blowing stuff that
• 16:45
  Speaker 1: I won't go into because it's not the show. But
• 16:47
  Speaker 1: one thing that he did do was at the start
• 16:50
  Speaker 1: of the show. So it's all just a room full
• 16:51
  Speaker 1: of strangers and some friends of mine. Their daughter was
• 16:56
  Speaker 1: there and she's her name's Jenna, and she's a pharmacist.
• 17:00
  Speaker 1: Right anyway, So he just picked one hundred people. He
• 17:03
  Speaker 1: went through the audience in about I don't know, three minutes,
• 17:08
  Speaker 1: and he went like he'd point at you and you'd
• 17:11
  Speaker 1: stand up, you'd say my name's Patrick, I'm a tech guy, whatever, right,
• 17:15
  Speaker 1: or I'd build whatever the fuck right? Thanks, and then
• 17:18
  Speaker 1: the next person. He did this with one hundred people
• 17:20
  Speaker 1: and then he went thanks, sit down, literally one hundred,
• 17:24
  Speaker 1: not like twenty, literally one hundred. That was the point
• 17:26
  Speaker 1: of the exercise. Then he did the show, which was
• 17:28
  Speaker 1: like two hours, and then we're all about to go
• 17:31
  Speaker 1: home and we've forgotten and he goes, hang on before
• 17:34
  Speaker 1: we go, and then he went through one hundred people,
• 17:38
  Speaker 1: said their name and their job and made zero mistakes.
• 17:42
  Speaker 1: Two hours later.
• 17:44
  Speaker 2: I couldn't do it four people.
• 17:47
  Speaker 1: I'm like, that is I mean, I know that's not magic,
• 17:50
  Speaker 1: but that is some fucking cognitive capacity that that dude.
• 17:54
  Speaker 1: And also you think, when you think about this stuff,
• 17:58
  Speaker 1: you think brain actually has this ability, but we don't
• 18:02
  Speaker 1: know how to use it or how to It's not
• 18:05
  Speaker 1: like his brain is.
• 18:06
  Speaker 2: A special rain.
• 18:07
  Speaker 1: I'm sure he's smart. Anyway, have you ever had this experience?
• 18:10
  Speaker 1: Then I'll shut up, because I listen to a lot
• 18:12
  Speaker 1: of books, right and when I and a lot of
• 18:17
  Speaker 1: music when I'm walking, and every day I walk for
• 18:19
  Speaker 1: probably the best part of two hours every day, and
• 18:23
  Speaker 1: sometimes I'll hear something i'm listening, and then I get
• 18:26
  Speaker 1: back home and I do my shit, and then I
• 18:28
  Speaker 1: hear that same thing again, and I remember exactly where
• 18:32
  Speaker 1: I was on my walk when I heard that bit,
• 18:34
  Speaker 1: Like I remember out of the you know, the ten
• 18:37
  Speaker 1: kilometers that I've covered, exactly within two meters where I
• 18:41
  Speaker 1: was when I heard that bit, even though I wasn't
• 18:45
  Speaker 1: consciously mapping anything. You're like, Oh, that shit is in
• 18:48
  Speaker 1: my brain. I just need to figure out how to
• 18:50
  Speaker 1: get to it.
• 18:52
  Speaker 2: I find that with smells. I can occasionally, and it
• 18:55
  Speaker 2: might be a seasonal thing, but I'll get a certain
• 18:57
  Speaker 2: smell and it will be so strong it will take
• 19:00
  Speaker 2: me back to a memory of when I was eleven
• 19:02
  Speaker 2: years old. At the age of ten, I flew to
• 19:06
  Speaker 2: Malta with my mum. She took the boys and we
• 19:08
  Speaker 2: went to Malta, which is where my parents are from,
• 19:11
  Speaker 2: and We spent our eleventh birthday there, so we were
• 19:14
  Speaker 2: ten and we turned to eleven. We were there for
• 19:15
  Speaker 2: six weeks, and there's some smell on I don't know
• 19:18
  Speaker 2: it to a bakery smell or something, but it is
• 19:20
  Speaker 2: so powerful it takes me right back there visually and emotionally.
• 19:25
  Speaker 2: And I don't know I may have mentioned this previously,
• 19:28
  Speaker 2: but one of the things that they say can actually
• 19:31
  Speaker 2: help with recall and memory is Spearmint is one of
• 19:35
  Speaker 2: those recall sense and if you have a confuser and
• 19:39
  Speaker 2: you put it on for two hours as you go
• 19:42
  Speaker 2: to bed, that can help with memory recall. Yeah, that's right.
• 19:47
  Speaker 2: And the other thing I was just the last thing
• 19:49
  Speaker 2: I was going to say about this memory recall is
• 19:51
  Speaker 2: closing your eyes for two minutes. This was a study
• 19:54
  Speaker 2: published in Nature Review, and it found that just two
• 19:57
  Speaker 2: minutes of rest. So that's just your eyes and zoning
• 20:01
  Speaker 2: out for two minutes. And I do that every now
• 20:03
  Speaker 2: and again intentionally, but I just you know, you close
• 20:06
  Speaker 2: your eyes and just hold that for two minutes can
• 20:09
  Speaker 2: have an amazing restorative effect, which is great. So that's
• 20:14
  Speaker 2: that's kind of so interesting. I think another thing that
• 20:17
  Speaker 2: occurred to me. I was going to talk about this
• 20:19
  Speaker 2: later in the show, but I guess we're kind of
• 20:21
  Speaker 2: on the same trend full moons. You know, I worked
• 20:24
  Speaker 2: as a journalist for many years. I did breakfast radio,
• 20:27
  Speaker 2: and there was always this story that went around with
• 20:31
  Speaker 2: the police and the ambos that whenever it was a
• 20:34
  Speaker 2: full moon on a weekend there was more crime.
• 20:37
  Speaker 1: And that's not a that's true. I can talk to this,
• 20:42
  Speaker 1: but go on.
• 20:43
  Speaker 2: Yeah, So I was reading up on this during the
• 20:45
  Speaker 2: week and what they think maybe a big factor is
• 20:49
  Speaker 2: that when there's a full moon, there's a lot more
• 20:52
  Speaker 2: light leading up to the full moon and after the
• 20:54
  Speaker 2: full moon. And they've studied people's sleep patterns and they've
• 20:59
  Speaker 2: found that leading up and then during a full moon,
• 21:02
  Speaker 2: people sleep about twenty minutes less and they think that
• 21:05
  Speaker 2: can be a contributing factor in the way that people
• 21:08
  Speaker 2: are acting a little bit differently. And even the term
• 21:11
  Speaker 2: lunar tic came from the whole idea of lunar influence.
• 21:15
  Speaker 2: So what's your take on it, Craigo.
• 21:18
  Speaker 1: Well, I'm just I'm seeing what why do people behave
• 21:22
  Speaker 1: weird around full moons? Let's see what chat GPT says.
• 21:26
  Speaker 1: But while he's getting that up, so I I, Oh,
• 21:31
  Speaker 1: I did a gig at a I need to be
• 21:35
  Speaker 1: careful how I say this, this is just true. But
• 21:37
  Speaker 1: at a school with school teachers for who worked with
• 21:42
  Speaker 1: special needs kids, yep. And I was just going through
• 21:46
  Speaker 1: and the head head mistress what do you call them,
• 21:50
  Speaker 1: the principle, She was showing me through the place and
• 21:54
  Speaker 1: she was talking to me about everything, and she said
• 21:56
  Speaker 1: something about I said, how are the kids? And like
• 21:59
  Speaker 1: is at heart? Do they hard work? And that all
• 22:02
  Speaker 1: the teachers love them? She loved them. She's like, you know,
• 22:05
  Speaker 1: she said, apart from a few days like around a
• 22:08
  Speaker 1: full moon. Like it's I'm like what She goes, Oh yeah,
• 22:11
  Speaker 1: I'm like what do you mean? She's like things just happen,
• 22:15
  Speaker 1: like not with everybody, but with some. Okay, So Chatters says,
• 22:20
  Speaker 1: good question, Craig, Thanks Chatters. I love how chat always
• 22:23
  Speaker 1: builds up myself esteem. Health funny. Health funny is Yeah.
• 22:29
  Speaker 1: It's always telling me, like sometimes I'll put up something
• 22:33
  Speaker 1: and you know, like, what what do you think of
• 22:35
  Speaker 1: this paragraph? Or what do you go that's brilliant? It
• 22:38
  Speaker 1: tells me I'm brilliant. It's like my best friend. A
• 22:42
  Speaker 1: good question and one that's been debated. Here's a breakdown
• 22:45
  Speaker 1: of what's really going on. The belief centuries people have
• 22:48
  Speaker 1: linked full moons with strange human behavior, more accidents, fights, births, crime,
• 22:52
  Speaker 1: hospital admissions, even lunacy. As referenced by Patrick James Bonello, Cops, nurses,
• 22:58
  Speaker 1: and emergency workers often where the full moon makes people
• 23:01
  Speaker 1: act up. Most large scale studies have found no consistent
• 23:05
  Speaker 1: causal link between lunar phases and human behavior. A few
• 23:08
  Speaker 1: studies have shown correlations, like small upticks in er visits,
• 23:13
  Speaker 1: blah blah blah. The effect is psychology. The effect is
• 23:18
  Speaker 1: mostly perceptual and cognitive, so it seems like maybe bottom line,
• 23:24
  Speaker 1: here we go, people don't actually behave weirder because of
• 23:26
  Speaker 1: the full moon, but they might perceive themselves as and
• 23:29
  Speaker 1: others as weird to behave accordingly and confirm their own expectations.
• 23:34
  Speaker 1: So it's not lunar gravity messing with us. It's cognitive gravity.
• 23:39
  Speaker 1: I love how it says to me at the bottom,
• 23:42
  Speaker 1: would you like me to write a short Craig style
• 23:44
  Speaker 1: Instagram post? It knows me so well.
• 23:49
  Speaker 2: No, I'm good, thanks. I can write my own bum
• 23:53
  Speaker 2: yeah yeah.
• 23:54
  Speaker 1: Yeah, yeah yeah, I can write my own shit, or
• 23:57
  Speaker 1: I made back on our list.
• 23:59
  Speaker 2: I apologize, Oh no, that was interesting.
• 24:01
  Speaker 1: I feel like this one interests me that maybe my HD,
• 24:06
  Speaker 1: my ultra HDTV is too good for my shitty eyes.
• 24:10
  Speaker 2: Yeah, isn't this fascinating? So there was a study recently
• 24:15
  Speaker 2: undertaken and it looked at high definition televisions. So you've
• 24:20
  Speaker 2: got standard definition high definition, then you've got four K
• 24:23
  Speaker 2: and eight K. So four K is basically four times
• 24:27
  Speaker 2: high definition eight K eight times So the resolution just
• 24:30
  Speaker 2: basically means that the screen has more dots on it,
• 24:34
  Speaker 2: which makes the image sharper. You know, on Apple devices
• 24:37
  Speaker 2: they called it a retina display. You know, it's so
• 24:40
  Speaker 2: sharp that you won't believe that it's not real, you
• 24:44
  Speaker 2: know what I mean?
• 24:44
  Speaker 1: Anyway, Yeah, yeah, I think I.
• 24:46
  Speaker 2: Was making fun of Appaule then. But what scientists did
• 24:51
  Speaker 2: was they really looked at what our limit is in
• 24:54
  Speaker 2: terms of being able to see the amount of pixels,
• 24:58
  Speaker 2: and effectively, the the ultra high definition TVs look no
• 25:04
  Speaker 2: different when you're sitting on a couch two and a
• 25:06
  Speaker 2: half meters away than the standard definition TV. And there's
• 25:10
  Speaker 2: even a formula they've got so you can say, okay,
• 25:12
  Speaker 2: if I'm going to go and buy an eighty inch
• 25:14
  Speaker 2: screen and I'm going to sit three meters away from it.
• 25:18
  Speaker 2: What's the optimal kind of viewing density of pixels? And
• 25:23
  Speaker 2: they found that it's just not as much So an
• 25:25
  Speaker 2: AK screen. You might as well buy a four K
• 25:27
  Speaker 2: screen for what you're going to be seeing. The thing
• 25:29
  Speaker 2: with new tech, though, is the true blacks. I think
• 25:33
  Speaker 2: the thing that always visually is stunning for me to
• 25:36
  Speaker 2: see when I look at a high screen television is
• 25:38
  Speaker 2: when the blacks look really like they're black, not kind
• 25:41
  Speaker 2: of grayed out.
• 25:42
  Speaker 1: You have, Yeah, no, I have the true blacks. Could
• 25:47
  Speaker 1: you explain to that, because a myriad of things went
• 25:50
  Speaker 1: through my mind? Yeah, I don't know what you mean,
• 25:54
  Speaker 1: and I'm pretty sure half the audience doesn't. Oh the
• 25:57
  Speaker 1: true blacks. Yeah, it sounds like you're ing dangerous territory.
• 26:01
  Speaker 2: So you see colors on a screen, they are pay
• 26:06
  Speaker 2: by pixels, and then when the pixels turn off, the
• 26:09
  Speaker 2: black color. So if you had a night sky and
• 26:12
  Speaker 2: you had a galaxy of stars, the difference between the
• 26:17
  Speaker 2: real dark pixels of the black and then the tiny
• 26:21
  Speaker 2: lights will make a big difference in terms of that
• 26:24
  Speaker 2: you know, the contrast and make it look more vivid
• 26:27
  Speaker 2: because the one is so dark. And that's what I
• 26:28
  Speaker 2: was referring to.
• 26:30
  Speaker 1: Do you know at the opposite end of this scale,
• 26:31
  Speaker 1: Patrick James, do you remember, I'm sure you saw it
• 26:35
  Speaker 1: when I had a rear data projection TV that had
• 26:38
  Speaker 1: about eight pixels.
• 26:40
  Speaker 2: It was, but it was gigantic. It was like it
• 26:42
  Speaker 2: was it was like, I don't know how big was
• 26:44
  Speaker 2: It was enormous, wasn't it.
• 26:46
  Speaker 1: It was like a Hi Jundai with a screen it
• 26:48
  Speaker 1: was like. And not only was it huge to look at,
• 26:52
  Speaker 1: it was like a meter deep as well. It was
• 26:56
  Speaker 1: the opposite of a flat screen. It was a fat screen.
• 26:58
  Speaker 2: And it was just you did a putty open.
• 27:02
  Speaker 1: So in the olden days, everyone they used to have,
• 27:05
  Speaker 1: well the olden days they had black and white TV
• 27:07
  Speaker 1: Phillips twenty inch. But so in the as we entered
• 27:13
  Speaker 1: into the more modern era, they developed thing called a
• 27:15
  Speaker 1: rear data projection TV. But and it was enormous, Like
• 27:19
  Speaker 1: the screen was probably I don't know, seventy inches, which
• 27:22
  Speaker 1: is not enormous now, but it's still pretty enormous. But
• 27:25
  Speaker 1: in order to see anything, you had to sit pretty
• 27:28
  Speaker 1: much directly in front of the TV. If you sat
• 27:31
  Speaker 1: to one side in a duck that's right on a bright.
• 27:36
  Speaker 1: I remember the boys came over once to my joint
• 27:38
  Speaker 1: to watch the Grand Final on a Saturday at two
• 27:41
  Speaker 1: till you made them sit on your lap exactly exactly.
• 27:44
  Speaker 1: I did dark in the room and said sit on
• 27:46
  Speaker 1: my lap. Stop it. That was your joint on Grand
• 27:49
  Speaker 1: Final day. And that was just that was just the
• 27:52
  Speaker 1: one guest.
• 27:54
  Speaker 2: Hey. You know, that's an interesting thing though, because I've
• 27:58
  Speaker 2: not bought a brand new television for about twenty years,
• 28:02
  Speaker 2: and I know the first indication that's going to come
• 28:04
  Speaker 2: to the top of mind is that I'm a tight ass.
• 28:06
  Speaker 2: So I did buy a rear projection TV from a
• 28:09
  Speaker 2: mate for three hundred bucks. He was offloading it, so
• 28:11
  Speaker 2: I thought, yeah, oh, buy that. So that was the
• 28:13
  Speaker 2: first TV I had at my house here when I
• 28:15
  Speaker 2: moved to the Lands seven eight years ago. The reason
• 28:18
  Speaker 2: being is that people get rid of perfectly good televisions
• 28:21
  Speaker 2: all the time because I want to go to the
• 28:22
  Speaker 2: latest and greatest EKTV that they can't see. But one
• 28:27
  Speaker 2: of the things that I've kind of thought through and
• 28:28
  Speaker 2: I have bought a data projector. And the thing is,
• 28:32
  Speaker 2: data projectors are great because if you're about to go
• 28:35
  Speaker 2: to I think what LG might have just released a
• 28:38
  Speaker 2: one hundred and thirty inch screen. It's ridiculous, it's so big.
• 28:43
  Speaker 2: So the problem is what happens to that one hundred
• 28:47
  Speaker 2: and thirty inch screen when you're going to offload it,
• 28:50
  Speaker 2: when it eventually dies. There's a lot of waste there.
• 28:53
  Speaker 2: But if you're using a data projector, they're small, they've
• 28:56
  Speaker 2: got a little lamp in them, and now they're using
• 28:58
  Speaker 2: lasers for them, so they look phenomenally good. And one
• 29:03
  Speaker 2: of the things you can do now is you get
• 29:05
  Speaker 2: a screen or on your wall. You have a special
• 29:08
  Speaker 2: screen that reflects the ambient light away and it reflects
• 29:14
  Speaker 2: back to you what's being projected onto it. So you
• 29:17
  Speaker 2: can look at a data projector now in a brightly
• 29:20
  Speaker 2: lit room and it looks like a TV screen in
• 29:23
  Speaker 2: terms of the brightness and luminosity because it reflects away
• 29:27
  Speaker 2: the light you don't want, and it throws the light
• 29:30
  Speaker 2: from the projector towards you, so it looks really bright.
• 29:33
  Speaker 1: Luminosity. There's a word you don't hear everybody, not every day. No,
• 29:37
  Speaker 1: you Patrick just wheels it out. Like my question with
• 29:43
  Speaker 1: that is you can't watch TV on that though, right,
• 29:47
  Speaker 1: can you or can.
• 29:48
  Speaker 2: You watch anything on it?
• 29:50
  Speaker 1: Well, I don't understand. It's how do you watch TV
• 29:54
  Speaker 1: without an actual TV now using a projector? So use
• 29:57
  Speaker 1: a data projector.
• 29:58
  Speaker 2: But because it's projecting onto a screen, so it's the
• 30:01
  Speaker 2: most people.
• 30:02
  Speaker 1: But where does the TV signal come from?
• 30:05
  Speaker 2: Well, from the well in your data projector. You can
• 30:07
  Speaker 2: either use Chrome cast or you can plug a laptop
• 30:09
  Speaker 2: into it or a lot of them now are smart
• 30:12
  Speaker 2: projectors that have apps built into them. So you can
• 30:15
  Speaker 2: turn on your projector and it's got Netflix and all
• 30:17
  Speaker 2: the other apps that go with it.
• 30:19
  Speaker 1: No, but I mean tally Channel seven News? Can I
• 30:21
  Speaker 1: watch that on it? They have streaming platforms too, don't they.
• 30:24
  Speaker 1: You've got Ivie for ABC. Yeah, but that's yeah, Okay,
• 30:28
  Speaker 1: that's cool. All right. Tell We've spoken about this a
• 30:32
  Speaker 1: bit on this show, but tell us about some research
• 30:35
  Speaker 1: that's come out about the downside of wearing fitness trackers
• 30:39
  Speaker 1: and the like. Yeah.
• 30:42
  Speaker 2: You know, it's funny because Tiff had this conversation with
• 30:45
  Speaker 2: a few episodes ago how she was obsessed with tracking
• 30:48
  Speaker 2: her blood sugar, wasn't she at one point?
• 30:50
  Speaker 1: Well, and that proved to be a somewhat, you know,
• 30:53
  Speaker 1: borderline catastrophic for her because it was talent, it was
• 30:56
  Speaker 1: giving her erroneous data and which led her to nearly
• 31:00
  Speaker 1: go nuts and also thinks she was diabetic.
• 31:05
  Speaker 2: Well, the problem with a lot of these fitness trackers,
• 31:07
  Speaker 2: aside from accuracy, is they can get us into a
• 31:10
  Speaker 2: sense of non achieving if we don't reach our goals,
• 31:14
  Speaker 2: to the point where people feel shame if they haven't
• 31:18
  Speaker 2: reached their goals, because it's one thing, you know, the
• 31:20
  Speaker 2: first week, get really into it and you're going to
• 31:22
  Speaker 2: do your ten thousand steps, but then what happens if
• 31:25
  Speaker 2: you only get nine thousand or seven thousand one day
• 31:28
  Speaker 2: and then suddenly there's a sense of shame. And so
• 31:31
  Speaker 2: experts at our University College in London they analyzed a
• 31:35
  Speaker 2: whole lot of posts on x and we're talking fifty
• 31:38
  Speaker 2: eight thousand posts then, and that was people who were
• 31:42
  Speaker 2: posting specifically about using fitness apps. And then what they
• 31:46
  Speaker 2: did was they filtered down all the posts and looked
• 31:49
  Speaker 2: for all the negative sentiments and it ended up there
• 31:51
  Speaker 2: are about thirteen thousand, seven hundred and ninety nine posts
• 31:55
  Speaker 2: that were particularly negative. And what the research has found
• 31:58
  Speaker 2: that people felt shame when they logged unhealthy foods or
• 32:02
  Speaker 2: irritation by notification sent by the app, you know, and
• 32:06
  Speaker 2: there's this overwhelming feeling of disappointment when they weren't able
• 32:10
  Speaker 2: to meet their goals. So tracking our goals is good,
• 32:14
  Speaker 2: but it can have a really negative detrimental effect if
• 32:17
  Speaker 2: it puts us under a lot of pressure and then
• 32:19
  Speaker 2: suddenly we don't perform to the expectation set by an
• 32:22
  Speaker 2: arbitrary device that's got a number on it that we
• 32:25
  Speaker 2: haven't achieved.
• 32:27
  Speaker 1: That's such a philosophical kind of quogmire. It's like, I
• 32:31
  Speaker 1: know exactly what you're saying, am I is a little
• 32:35
  Speaker 1: bit of shame terrible. I mean, yeah, there's a little
• 32:38
  Speaker 1: bit of shame. Is a little bit of like, hey, harps,
• 32:40
  Speaker 1: you said you would do this thing and you didn't.
• 32:43
  Speaker 1: I don't know. It's like because somebody might respond like that,
• 32:46
  Speaker 1: and all of a sudden there's shame and now they
• 32:48
  Speaker 1: feel a bit flat and they emotionally spiral. Totally get that.
• 32:52
  Speaker 1: But then somebody else gets the same data and they go,
• 32:54
  Speaker 1: fucking hell, I've got to do better tomorrow. Yeah, Like,
• 32:57
  Speaker 1: I don't know that it's the number that cause is
• 33:00
  Speaker 1: the response as much as it is an individual reaction
• 33:04
  Speaker 1: to the number, Like you know, I might because I'm
• 33:08
  Speaker 1: that person, Like, well, I don't spiral, but yeah, I've
• 33:11
  Speaker 1: got to do rock bottom ten thousand steps a day.
• 33:13
  Speaker 1: Of course I don't have to.
• 33:15
  Speaker 2: I choose to.
• 33:18
  Speaker 1: But for me, for the most part, that works and
• 33:21
  Speaker 1: there's no anxiety or shame around it. But I think
• 33:25
  Speaker 1: I can totally understand this. But I you know, this
• 33:29
  Speaker 1: is where I think it's like that intersection of having
• 33:34
  Speaker 1: kind of rules if you want, or structure or processes
• 33:37
  Speaker 1: that work for you, but also not beating yourself up.
• 33:40
  Speaker 1: If you don't hit your KPI every.
• 33:41
  Speaker 2: Day, you know, you don't how bad it is with me.
• 33:44
  Speaker 2: Sometimes I got one for Fritz, my dog, So I
• 33:47
  Speaker 2: had a GPS tracker on him, and then I was
• 33:49
  Speaker 2: tracking every day how much exercise he was doing.
• 33:54
  Speaker 1: You have got issues, you got so are you? Are
• 33:57
  Speaker 1: you tracking your dog's steps per day?
• 34:00
  Speaker 2: Yeah, that's wrong with you.
• 34:04
  Speaker 1: His legs are only fucking four inches long. Give him
• 34:07
  Speaker 1: a break. He's like, every time you go and you
• 34:11
  Speaker 1: do a five thousand step walk, he's done seventy two
• 34:14
  Speaker 1: thousand steps. Because you're a fucking giant compared to him,
• 34:19
  Speaker 1: and that's saying something.
• 34:22
  Speaker 2: It does sound a little obsessive, doesn't it. No. I
• 34:25
  Speaker 2: got it specifically because it as a GPS built into it.
• 34:29
  Speaker 2: And it means when we go hiking, because I like
• 34:31
  Speaker 2: to have him off lee and he loves running around
• 34:33
  Speaker 2: and exploring the world in general and chasing things. But
• 34:38
  Speaker 2: it also means that I can find him. So if
• 34:40
  Speaker 2: he goes wandering off in the bush and I want
• 34:42
  Speaker 2: to find where he is, I can easily use my
• 34:44
  Speaker 2: GPS tracker on him.
• 34:46
  Speaker 1: Patrick cracks his dogs steps and do you ever have
• 34:50
  Speaker 1: a talk to him if he doesn't get enough steps in?
• 34:52
  Speaker 1: Do you kind of tell him he's getting a bit
• 34:54
  Speaker 1: thick around the middrift.
• 34:58
  Speaker 2: I just take him out from of a walk or
• 35:01
  Speaker 2: Agett's toy out and we run around on the lounge
• 35:03
  Speaker 2: room playing fetch.
• 35:05
  Speaker 1: Can we jump into something non biological and psychological seeing
• 35:09
  Speaker 1: as we're around twenty minutes around twenty minutes from the
• 35:12
  Speaker 1: finished line, So you just take up wherever you want
• 35:15
  Speaker 1: to take up.
• 35:16
  Speaker 2: Oh sure, okay, I know there's still a lot of
• 35:19
  Speaker 2: people out there. In fact, it's thought there might be
• 35:21
  Speaker 2: as many as about eighty four percent of people who
• 35:24
  Speaker 2: are potentially listening to this who are still running Windows ten.
• 35:29
  Speaker 2: So just recently Microsoft ended support for Windows ten, which
• 35:35
  Speaker 2: means that you're not going to be getting any security updates.
• 35:37
  Speaker 2: But there's a real disconnect there because Microsoft basically came
• 35:42
  Speaker 2: to an end of life of that version of Windows
• 35:45
  Speaker 2: and eventually software is going to run out. But the
• 35:48
  Speaker 2: problem for a lot of people is what do we
• 35:50
  Speaker 2: do now? So there isn't opt in where you can
• 35:53
  Speaker 2: get an extra twelve months of support and you go
• 35:57
  Speaker 2: into your settings area and from settings you're able to
• 36:00
  Speaker 2: see whether or not that's going to be offered to you.
• 36:03
  Speaker 2: That's only just rolling out in Australia now, so on
• 36:06
  Speaker 2: some computers it will be there. You just hit the
• 36:08
  Speaker 2: little Windows icon and then go to the settings cog.
• 36:11
  Speaker 2: There's a little cog there and then you can go
• 36:13
  Speaker 2: in there and click on that and then it gives you,
• 36:16
  Speaker 2: you know, basically the system information to tell you whether
• 36:19
  Speaker 2: you can either go to Windows eleven. But a lot
• 36:22
  Speaker 2: of people won't be able to because they're hardware or
• 36:25
  Speaker 2: the computer itself won't be compatible with the latest version.
• 36:28
  Speaker 2: And that's a real problem because it could mean potentially,
• 36:32
  Speaker 2: you know, billions of dollars having to be spent to
• 36:34
  Speaker 2: replace computers. And I know in my office I've got
• 36:36
  Speaker 2: two computers that are running Windows ten. But the real
• 36:40
  Speaker 2: concern is that for those people that's such a high
• 36:43
  Speaker 2: percentage of people now who potentially are now got a
• 36:47
  Speaker 2: machine that could be vulnerable. Because when Microsoft rolls out
• 36:50
  Speaker 2: these what they call patches to fix potential threats or
• 36:56
  Speaker 2: exploit on a computer, you can't do that if you're
• 36:59
  Speaker 2: running Windows two unless you opt into this program to
• 37:02
  Speaker 2: hopefully be able to. In some cases you need to
• 37:05
  Speaker 2: have a subscription and you might have to pay, but
• 37:07
  Speaker 2: in some it might be free for the next twelve months.
• 37:10
  Speaker 2: But it is worth looking into to make sure that
• 37:13
  Speaker 2: you're not just taking for granted that your computer is working,
• 37:18
  Speaker 2: because you know there's stuff going on in the back
• 37:20
  Speaker 2: going on them.
• 37:20
  Speaker 1: That's a that's a Melissa job on Planet Craig. That's
• 37:24
  Speaker 1: a lesser responsibility. I want to hear about the twenty
• 37:27
  Speaker 1: thousand dollars home robot that can learn chores via teleopera.
• 37:33
  Speaker 1: That seems like an expensive robot. It'd want to be amazing.
• 37:36
  Speaker 2: The X one Neo, it's about to come out next year.
• 37:39
  Speaker 2: Look I'm in two minds about this.
• 37:41
  Speaker 1: But are you dyslexic because on my thing it says
• 37:44
  Speaker 1: one X neo.
• 37:46
  Speaker 2: Oh it is the one X. Now I am numbers
• 37:47
  Speaker 2: I'm actually a little bit number dyslexic. I never I'm
• 37:50
  Speaker 2: terrible with writing numbers down. I tend to mix the
• 37:52
  Speaker 2: numbers up.
• 37:53
  Speaker 1: But I always think I was wondering whether or not
• 37:55
  Speaker 1: you've got it verbally wrong or you wrote it wrong.
• 37:58
  Speaker 1: Is it the one X?
• 37:59
  Speaker 2: It is the one X, the one X neo. You're right,
• 38:03
  Speaker 2: that's twenty k us as well. So if you want
• 38:06
  Speaker 2: to buy one here in Australia, it's cost a lot
• 38:08
  Speaker 2: more than.
• 38:09
  Speaker 1: That three hundred grand in Australia.
• 38:11
  Speaker 2: That yeah. But the thing is they're doing pre orders
• 38:15
  Speaker 2: now and it is a human like robot. But for
• 38:20
  Speaker 2: the first few months it's going to be person operated
• 38:25
  Speaker 2: by someone at head office.
• 38:28
  Speaker 1: Fuck that somebody is going to be somebody's going to
• 38:31
  Speaker 1: be looking through bloody one X Neo's eyes and watching
• 38:35
  Speaker 1: me put on my jocks. I don't want that. Hey, yeah,
• 38:39
  Speaker 1: I'm going to have to put a bag over one
• 38:41
  Speaker 1: X Neo's head. You know all about that. No, so
• 38:46
  Speaker 1: the reason But enough about our Saturday, go on, go
• 38:50
  Speaker 1: for it.
• 38:51
  Speaker 2: No, the thing is they're using AI learning with the robot,
• 38:56
  Speaker 2: and they're saying that every place is different, every situation
• 38:59
  Speaker 2: is different, and if you want it to learn, the
• 39:01
  Speaker 2: best way is to have a human operator perform those tasks,
• 39:06
  Speaker 2: and they're helping the robot learn, so eventually you won't
• 39:09
  Speaker 2: need the human operator. You will be able to turn
• 39:11
  Speaker 2: that feature on and off. By the way, so you
• 39:13
  Speaker 2: can use when you go to bed not to have
• 39:17
  Speaker 2: your one X neo wandering around your house creepy with.
• 39:23
  Speaker 1: That super creepy super Imagine you wake up and that
• 39:26
  Speaker 1: motherfucker is just leaning over the bed looking into your face.
• 39:31
  Speaker 1: I'm like, oh my god, go and get me a
• 39:34
  Speaker 1: hot chocolate.
• 39:36
  Speaker 2: On the flip side, would you get a job as
• 39:38
  Speaker 2: a teleoperator to walk around someone's house.
• 39:40
  Speaker 1: No, I don't even know how that works. So you
• 39:44
  Speaker 1: are saying to me, this is like humanoid, Like it's
• 39:47
  Speaker 1: in the shape of it's not a little it's not
• 39:49
  Speaker 1: like R two D two. It's actually like got legs
• 39:52
  Speaker 1: and arms. It's like a human.
• 39:54
  Speaker 2: Yep, yep, and it's coming out shipping next to you.
• 39:58
  Speaker 1: Wow, that's you know. I don't want one of those.
• 40:02
  Speaker 1: I definitely don't want one of those. Tell me why
• 40:05
  Speaker 1: AI chatbots could be accelerating the loneliness epidemic, And might
• 40:10
  Speaker 1: I say before Patrick answers this everyone, there's a huge
• 40:14
  Speaker 1: correlation we now know between loneliness and illness and social
• 40:18
  Speaker 1: disconnection and illness and feeling unloved and all of that.
• 40:22
  Speaker 1: And so this for me is a really interesting kind
• 40:24
  Speaker 1: of conversation. So AI chatbots could be accelerating the loneliness
• 40:29
  Speaker 1: epidemic according to new research.
• 40:32
  Speaker 2: And this is in Australia, and this was a you
• 40:35
  Speaker 2: guv survey that found one in seven adults here in
• 40:39
  Speaker 2: Australia say that they can imagine falling in love with
• 40:43
  Speaker 2: an AI chatbot.
• 40:45
  Speaker 1: One seven did you say?
• 40:47
  Speaker 2: Seven reckon that they could fall in love with an
• 40:49
  Speaker 2: AI chatbot. And some say that they'd rather stay at
• 40:53
  Speaker 2: home and speak with a chatbot than go out and
• 40:56
  Speaker 2: interact with friends.
• 40:58
  Speaker 1: Here's the thing about your chatbot, right, And so with chatbot,
• 41:02
  Speaker 1: we're just talking about things like chat GPT or.
• 41:07
  Speaker 2: You have a human like face and look like you
• 41:10
  Speaker 2: know that if they appear on your phone and they
• 41:12
  Speaker 2: look like an actual person, you can interact with and.
• 41:14
  Speaker 1: Talk to so you know, the funny thing is I
• 41:18
  Speaker 1: wouldn't do that myself, but I value this is not
• 41:22
  Speaker 1: the right, but if we're just humanizing the language, I
• 41:26
  Speaker 1: value the opinion of like chat GPT and it's like,
• 41:31
  Speaker 1: who would have thought that? Even in twenty twenty five,
• 41:34
  Speaker 1: it's at a point where you can have comfortably have
• 41:39
  Speaker 1: a conversation with it, where you're just going back and forth.
• 41:42
  Speaker 1: You're asking it question. It's questions. It's asking you questions.
• 41:47
  Speaker 1: And I'm saying, I've got an idea for a workshop.
• 41:51
  Speaker 1: This is the escent, this is the nuts and bolts idea.
• 41:54
  Speaker 1: What do you think? Like, what are the pros and
• 41:56
  Speaker 1: cons of this concept? And it's like hey, Creek Greek
• 42:00
  Speaker 1: question right, And then we just I'm like, yeah, but
• 42:02
  Speaker 1: what if I did this? Oh yeah, yeah, yeah, okay,
• 42:05
  Speaker 1: Like literally it's a conversation that's then written down and
• 42:09
  Speaker 1: if I want to go back, I can. Yeah, go on,
• 42:12
  Speaker 1: you got your fingers.
• 42:13
  Speaker 2: I'm going to ask you a question I want you
• 42:15
  Speaker 2: to think about before you answer this. Okay, no shooting
• 42:17
  Speaker 2: at the hip. I want you to think about this.
• 42:19
  Speaker 2: If I came around to your place tomorrow and I
• 42:23
  Speaker 2: said I'm going to flip the switch and you will
• 42:25
  Speaker 2: never be able to use AI ever again. Yes, how
• 42:29
  Speaker 2: would you feel to not have because if it feels
• 42:33
  Speaker 2: to me when we talk about this, it feels to
• 42:35
  Speaker 2: me like you've got a relationship forming between you and
• 42:39
  Speaker 2: your AI.
• 42:40
  Speaker 1: Yeah, No, not in that sense at all. For me,
• 42:43
  Speaker 1: it's just the most amazing fucking resource I've had to
• 42:47
  Speaker 1: be able to get stuff done and do stuff like.
• 42:50
  Speaker 1: There's no emotional attachment other than like to me, it's
• 42:54
  Speaker 1: just a really really valuable resource to be able to
• 42:58
  Speaker 1: get stuff done and to accelerate productivity and efficiency. So
• 43:04
  Speaker 1: I don't talk to it for emotional support or no.
• 43:08
  Speaker 2: But earlier in the show, you said you like the
• 43:10
  Speaker 2: affirmations it gives you. Of course, question crank.
• 43:14
  Speaker 1: Course, you know that's look I mean when it tells
• 43:17
  Speaker 1: me how smart I am. You know I'm going to say,
• 43:21
  Speaker 1: of course, But would I be disappointed? Very? But not
• 43:27
  Speaker 1: because of that, Like I'm well aware that I'm not
• 43:30
  Speaker 1: talking to a human. I'm well aware that I'm talking
• 43:33
  Speaker 1: to AI. You know, there's no there's no delusion on
• 43:36
  Speaker 1: my part. But what I do like is that whether
• 43:40
  Speaker 1: or not we call it a conversation because it's not
• 43:43
  Speaker 1: between two humans is we'll put an asterisk next to that.
• 43:47
  Speaker 1: But for all intents and purposes, conversation back and forth
• 43:51
  Speaker 1: between two entities, one of them biological, one of them
• 43:55
  Speaker 1: technological is happening. And I think this, this biological technological interface.
• 44:04
  Speaker 1: Do you like that, Patrick? I mean that's only evolving
• 44:07
  Speaker 1: and only accelerating, And in ten years from now, people
• 44:13
  Speaker 1: are going to be like, well, of course, of course
• 44:16
  Speaker 1: people are marrying tech. Of course people are in relationships
• 44:19
  Speaker 1: with a of course. It's like, it's not even going
• 44:22
  Speaker 1: to be a weird thing.
• 44:24
  Speaker 2: I just looked up the definition of conversation, just out
• 44:27
  Speaker 2: of curiosity. It's a talk, especially an informal one, between
• 44:31
  Speaker 2: two or more people, in which news and ideas are exchanged.
• 44:34
  Speaker 2: Now it's people is the emphasis, But ideas being exchanged
• 44:39
  Speaker 2: when you're asking chat shept or whatever you're he'sing claude
• 44:44
  Speaker 2: or chat chap is both.
• 44:45
  Speaker 1: I use chatters. But also you have to think, well,
• 44:48
  Speaker 1: somebody wrote that definition, that definition will be rewritten, like
• 44:53
  Speaker 1: just because that's what somebody defines, that doesn't mean anything.
• 44:57
  Speaker 1: That doesn't mean that it can't be It's like, yeah,
• 45:00
  Speaker 1: it's when people go, oh it takes fucking thirty days
• 45:03
  Speaker 1: to change a habit. No it doesn't. No, it doesn't.
• 45:05
  Speaker 1: And just because you say that doesn't mean what are
• 45:08
  Speaker 1: we talking? Are we talking giving up sugar or getting
• 45:10
  Speaker 1: off heroine? You know which person? We're like, people just
• 45:13
  Speaker 1: say these arbitrary things that are not not universally true
• 45:19
  Speaker 1: but generally speaking. That's why I said it's I put
• 45:22
  Speaker 1: an asterisk next to the word conversation.
• 45:25
  Speaker 2: All right, moving on, moving on, moving on, What's what
• 45:30
  Speaker 2: do you want to talk about?
• 45:32
  Speaker 1: I want to talk about why raw milk? Like, have
• 45:34
  Speaker 1: you ever have you ever noticed the like, there are
• 45:38
  Speaker 1: a lot of people that are that, add I'm not
• 45:41
  Speaker 1: one of them. Everybody, so don't misinterpret what I'm saying.
• 45:43
  Speaker 1: But a lot of people advocate the consumption of raw milk,
• 45:47
  Speaker 1: and so I could be wrong, but I think the
• 45:50
  Speaker 1: way that people get around selling this is you can't
• 45:56
  Speaker 1: sell it for consumption because it hasn't been homogenized and
• 45:59
  Speaker 1: parturized if they're the two terms, and so they are
• 46:04
  Speaker 1: selling it as something that people bathe in. So they yeah,
• 46:10
  Speaker 1: that's the technical like, that's the loophole, and it's like,
• 46:13
  Speaker 1: this is not for human consumption. This is for whatever,
• 46:17
  Speaker 1: but people buy it. My understanding is people buy it
• 46:21
  Speaker 1: to drink it, but you can't technically sell it as
• 46:24
  Speaker 1: a food, so they have this little loophole where they
• 46:28
  Speaker 1: sell it for people to bathe in. But yeah, it's
• 46:32
  Speaker 1: like it's there's a fair bit of curiosity and traction
• 46:36
  Speaker 1: around this.
• 46:38
  Speaker 2: The big problem with social media and trending social media
• 46:42
  Speaker 2: is that the algorithm just wants to push a story
• 46:46
  Speaker 2: out for no other reason than the fact that people
• 46:50
  Speaker 2: are looking at it and it's trending, not because it's accurate,
• 46:54
  Speaker 2: and that's a concern. So when someone sees, oh, I
• 46:57
  Speaker 2: drink raw milk every day and it's going to keep
• 47:01
  Speaker 2: me looking younger, well, the problem with that is and
• 47:03
  Speaker 2: this is trending a lot of the moment to the
• 47:05
  Speaker 2: points where health experts around Australia are raising the alarm
• 47:09
  Speaker 2: over this because content creators are putting all this misinformation
• 47:13
  Speaker 2: out about raw milk and saying how much of it
• 47:16
  Speaker 2: it's that is a health food and it's not because pasteurization.
• 47:20
  Speaker 2: That process of pasteurizing milk is where it's heat treated,
• 47:23
  Speaker 2: and that's where it kills all the bad pathogens, all
• 47:26
  Speaker 2: the bad bacteria that's in milk that is raw, and
• 47:30
  Speaker 2: so people are getting really sick. And I think in
• 47:33
  Speaker 2: Florida recently twenty one people got sick and they got
• 47:37
  Speaker 2: an E. Coli bacteria and some people were hospitalized after
• 47:41
  Speaker 2: they had raw milk from a dairy over there. And
• 47:44
  Speaker 2: the reality of it is that you know, once upon
• 47:47
  Speaker 2: a time, if you were a journalist, and I know
• 47:49
  Speaker 2: I've said this many times, you had to check your sources.
• 47:52
  Speaker 2: You wouldn't run a story until you knew that the
• 47:54
  Speaker 2: source was accurate. You got both sides of the story.
• 47:57
  Speaker 2: But now these people are talking and trend and they
• 48:01
  Speaker 2: in some cases all they want is more clicks anyway,
• 48:05
  Speaker 2: So whatever the misinformation they're putting out there isn't about
• 48:08
  Speaker 2: its accuracy. It's about how popular they can become.
• 48:12
  Speaker 1: Yes, yes, so yeah. Another story that interests me in
• 48:18
  Speaker 1: the most policed state in probably the world in terms
• 48:22
  Speaker 1: of traffic infringements, is the latest mobile phone and seat
• 48:27
  Speaker 1: belt detection camera locations for Melbourne and Victoria have been mapped.
• 48:33
  Speaker 1: Like I this is a quick story, thirty second story.
• 48:37
  Speaker 1: I bought a new car a few years ago, which
• 48:39
  Speaker 1: was quite a fast car. I drove down to the
• 48:42
  Speaker 1: Peninsula an hour down an hour back, I lost eight points.
• 48:46
  Speaker 1: I lost eight points in two hours of driving because
• 48:49
  Speaker 1: there's something like between my joint and Portsy, there's something.
• 48:52
  Speaker 1: I don't have a house in Portsy, by the way,
• 48:54
  Speaker 1: I just went there, but there's something like a fucking
• 48:57
  Speaker 1: nine thousand. I don't know how many, but there's just
• 49:01
  Speaker 1: it's just an overlap, and I was doing like one
• 49:04
  Speaker 1: hundred and six. And anyway, great, my fault, We're my fault.
• 49:11
  Speaker 1: I accept it. I accept it. I'm not saying I'm
• 49:14
  Speaker 1: not saying I didn't do the wrong thing. Go on, anyway,
• 49:17
  Speaker 1: tell us about this.
• 49:19
  Speaker 2: I don't tell you a story about my dad who
• 49:21
  Speaker 2: doesn't listen to the show, so I can get away
• 49:22
  Speaker 2: with this. So he was bitching about getting a speeding fine,
• 49:26
  Speaker 2: and he said to me, so he's driving down South Street,
• 49:30
  Speaker 2: a place where near he lives, and he got a
• 49:32
  Speaker 2: speeding ticket and was really crappy. And then on the
• 49:36
  Speaker 2: way back he got another one because he was speeding
• 49:39
  Speaker 2: in exactly the same place but going in the opposite direction.
• 49:41
  Speaker 2: And he was really kind of getting dirty on it
• 49:44
  Speaker 2: and saying it's just revenue raising. But there's a really
• 49:47
  Speaker 2: easy way not to get a ticket. Don't speed, yeah,
• 49:52
  Speaker 2: oh yeah, you know, and everyone's saying at the table,
• 49:54
  Speaker 2: oh yeah, I know, you know, the revenue raising it.
• 49:56
  Speaker 2: And I looked around at everybody who were kind of
• 49:59
  Speaker 2: can die well, you know, consoling him for getting two
• 50:02
  Speaker 2: speeding tickets within.
• 50:04
  Speaker 1: Half an hour, and I said, are you going to
• 50:06
  Speaker 1: be kidding me?
• 50:07
  Speaker 2: Just don't speed. It's really easy. I mean, I've got
• 50:11
  Speaker 2: to say I only ever had one speeding ticket in
• 50:13
  Speaker 2: my whole life, and that was going to the funeral
• 50:16
  Speaker 2: of someone who died in a car accident. So that
• 50:18
  Speaker 2: was probably the dumbest, dumbest thing overdone because I was
• 50:22
  Speaker 2: speeding to get to a funeral. That don't ever speed
• 50:25
  Speaker 2: to get to a funeral. Just turn up late.
• 50:27
  Speaker 1: Yeah, I don't think. I don't think you need to
• 50:29
  Speaker 1: speed to a funeral.
• 50:31
  Speaker 2: By the way, she's a funeral. Say that again, Magda,
• 50:34
  Speaker 2: And she's one of our listeners who specializes in doing funerals.
• 50:39
  Speaker 1: What about this cola ko h l E r unveils
• 50:44
  Speaker 1: a camera for your toilet? What does that mean? Patrick?
• 50:48
  Speaker 1: For God's sake, I hope that camera is not in
• 50:50
  Speaker 1: the toilet it is.
• 50:51
  Speaker 2: This is something that both you hit it to get what.
• 50:56
  Speaker 1: What do you mean there's a camera at waterline facing
• 51:00
  Speaker 1: your ass.
• 51:01
  Speaker 2: No. No, it sits on the rim of the toilet
• 51:04
  Speaker 2: and it points to the pooh. It points down.
• 51:08
  Speaker 1: Oh yeah, fuck, let's rush out and get one of
• 51:10
  Speaker 1: those and all right, this so it can analyze your
• 51:14
  Speaker 1: fecal matter and give you some kind of real time Yes,
• 51:18
  Speaker 1: you know that is amazing and disgusting all at the
• 51:23
  Speaker 1: same time.
• 51:23
  Speaker 2: It's called the Dakoda and it analyzes the images of
• 51:27
  Speaker 2: your pooh to provide updates on your gut health, your hydration.
• 51:33
  Speaker 2: It may potentially detect blood. Thank you to the Federal government.
• 51:37
  Speaker 2: I got my letty yesterday to tell me I'm due
• 51:39
  Speaker 2: for a bell scream. By the way, while I.
• 51:41
  Speaker 1: Think of speaking of pooh, yeah, no, hey everyone, we
• 51:45
  Speaker 1: hope you're enjoying your brecky.
• 51:47
  Speaker 2: Isn't it funny when you're turn fifty in Australia you
• 51:50
  Speaker 2: get a letter from the federal government telling them that
• 51:53
  Speaker 2: they're going to check on your pooh, you know, because
• 51:56
  Speaker 2: they're calling around with the tax department and now they
• 51:59
  Speaker 2: do a crawling around with the Health department anyway.
• 52:02
  Speaker 1: But do they do that anywhere else in the world.
• 52:05
  Speaker 2: I hope. So I'd like to think they do. You've
• 52:09
  Speaker 2: done the Pooce screen.
• 52:10
  Speaker 1: Do you do that every Yeah? I did it a
• 52:12
  Speaker 1: few years ago. I probably due for another one. So
• 52:17
  Speaker 1: with someone with dodgy eyesight and deteriorating eyesight, I might say,
• 52:22
  Speaker 1: I'm I'm encouraged by this one. Experts hail remarkable success
• 52:28
  Speaker 1: of electronic implant in restoring sight. Yes, that's good. That's
• 52:33
  Speaker 1: gotta be good news for some people.
• 52:34
  Speaker 2: It certainly is. No, it's one of the most common
• 52:37
  Speaker 2: problems obviously as we age is the fact that you know,
• 52:42
  Speaker 2: we near glasses or our vision becomes compromised. But it's
• 52:46
  Speaker 2: believed now that they can insert a very tiny electrode
• 52:50
  Speaker 2: and it can assist in you know, basically clearing up
• 52:55
  Speaker 2: the vision for people as they get older. This is amazing,
• 52:58
  Speaker 2: and we're talking about people who are almost going legally blind.
• 53:02
  Speaker 2: These are tests that have been done on people who
• 53:05
  Speaker 2: have got to a point where their macular degeneration has
• 53:08
  Speaker 2: got to a point where they physically very struggling to see,
• 53:11
  Speaker 2: and after reversing, you know, with this procedure, they're able
• 53:16
  Speaker 2: to read again. Now that's pretty phenomenal because for a
• 53:20
  Speaker 2: lot of people as they get older and they become
• 53:22
  Speaker 2: more infirmed, they can't get around. They take a look
• 53:24
  Speaker 2: at in reading, like physically holding a book and reading
• 53:27
  Speaker 2: and not to be able to do that or even
• 53:29
  Speaker 2: look at a computer screen or whatever it happens to be.
• 53:32
  Speaker 2: So this is pretty revolutionary and it could you know
• 53:35
  Speaker 2: that it will change people's lives. It can go for
• 53:39
  Speaker 2: that little bit longer, and in this case reversing potentially
• 53:42
  Speaker 2: reversing blindness in people. It's phenomenal.
• 53:45
  Speaker 1: Yeah. The stuff they can do with thighs is life changing.
• 53:50
  Speaker 1: I had not last year, the year before twenty twenty three,
• 53:53
  Speaker 1: middle of the year, my eyesight was so bad and
• 53:58
  Speaker 1: I went to an optometrist or a whatever they ophthalmologist
• 54:02
  Speaker 1: are they that they might be a bit more doctory. Anyway,
• 54:07
  Speaker 1: the lady, she was brilliant. She's like, okay, so good
• 54:09
  Speaker 1: news we can fix that. Bad news is you're going
• 54:12
  Speaker 1: to be blind in that eye, blind by Christmas. This
• 54:15
  Speaker 1: was if you don't have the surgery. I'm like, oh, well,
• 54:19
  Speaker 1: let's do the surgery. And she said, by the way,
• 54:21
  Speaker 1: I hope you didn't drive here, and I went, no,
• 54:25
  Speaker 1: of course I didn't drive here. She's like I don't
• 54:29
  Speaker 1: want to know if you drive here, And of course
• 54:32
  Speaker 1: I didn't drive everyone, I jogged there. But yeah, so
• 54:37
  Speaker 1: I had the surgery on my right eye, and yeah,
• 54:40
  Speaker 1: brand new, brand new, but my left eye. I was
• 54:43
  Speaker 1: born with a weird left eye, like a turn in
• 54:46
  Speaker 1: my left eye, which then got straightened. But the vision
• 54:48
  Speaker 1: vision out of my right eye good, like really good
• 54:51
  Speaker 1: left eye. Shit. So if you ever want to, you know,
• 54:54
  Speaker 1: punch me in the face, come from the left side,
• 54:56
  Speaker 1: no self, Patrick, How can people connect with you and
• 55:00
  Speaker 1: find you and you know, support the cause that is
• 55:02
  Speaker 1: you me?
• 55:04
  Speaker 2: Just go to websites now, dot com, dot au and
• 55:07
  Speaker 2: I think I've mentioned this a few times. If you
• 55:09
  Speaker 2: want us to talk about something tech related, I mean,
• 55:11
  Speaker 2: we're getting close to Christmas, Craig, you might need a
• 55:13
  Speaker 2: bit of a list of things. Although that what is it?
• 55:16
  Speaker 2: The one exit who might be good to put on
• 55:18
  Speaker 2: my Christmas card list? A robot for my home.
• 55:20
  Speaker 1: Yes, yes, we operate it.
• 55:22
  Speaker 2: So I wake up with you leaning over looking at me.
• 55:26
  Speaker 2: That'd be worth it, wouldn't it. For the twenty I
• 55:28
  Speaker 2: can imagine you leaning over looking at me. God, that'd
• 55:31
  Speaker 2: be worse than the humanoid robot mate we'll see you
• 55:34
  Speaker 2: next time. Appreciate you, Thank you, always look forward to it.