Latest / The You Project / #1938 Coffee Concrete - Patrick Bonello

Transcript

#1938 Coffee Concrete - Patrick Bonello · The You Project

0:01
Speaker 1: I'll get a team before we get under way. Today,
0:02
Speaker 1: a blatant plug for me upcome a new mentoring program.
0:06
Speaker 1: As you know, I do me best to keep the
0:09
Speaker 1: advertising for my own programs to a minimum on this
0:11
Speaker 1: show because I think it's kind of annoying. But fuck it,
0:14
Speaker 1: today I'm breaking my own rule. So on July thirty,
0:18
Speaker 1: my new eight week online mentoring Extravaganza kicks off. And
0:24
Speaker 1: I've created this program for people who want to get
0:26
Speaker 1: more out of their time, talent, genetics, potential, skills, career
0:32
Speaker 1: and resources what they've got at their disposal. People who
0:36
Speaker 1: want to move above and beyond the groundhog danus of
0:39
Speaker 1: unconscious repetition, of frustration, of self sabotage and overthinking and underdoing,
0:45
Speaker 1: and the destructive habits and rituals, and the crappy results
0:49
Speaker 1: and the perpetual waiting for the right time that never comes.
0:54
Speaker 1: We'll be unpacking the human experience from a psychological, emotional, sociological,
0:59
Speaker 1: phys logical, your body and behavioral perspective, and there'll be
1:03
Speaker 1: lots of room and time for interaction, conversation, and Q
1:07
Speaker 1: and A. So, if that doesn't sound terrible and you'd
1:10
Speaker 1: like to find out a little bit more about the program.
1:14
Speaker 1: Go to me website, me website and take a peek
1:18
Speaker 1: at the very detailed eight week overview. So just go
1:21
Speaker 1: to me dot com. Well, no, it's not really, it's
1:24
Speaker 1: actually Craigharper one word dot net, click on education and
1:28
Speaker 1: see what's up. Alrighty on with the show. O good
1:32
Speaker 1: a team. It's you project, It's Tiffany and Cook, It's Patrick,
1:35
Speaker 1: James Banelo, Craig, Anthony Harper. Once in a while we
1:40
Speaker 1: get together and talk about nothing in particular. We're really
1:43
Speaker 1: good at it, well, we think, so we'll start with
1:47
Speaker 1: the lady, because that's been polite morning. Patrick.
1:53
Speaker 2: He's already fired a broadside, nice one. He cuts off
1:56
Speaker 2: our lovely conversation, Tip, and then he fires a broadside
2:00
Speaker 2: at me. Hi, Craigo, how are you well?
2:03
Speaker 1: You don't mind at all, And we all know that
2:05
Speaker 1: Tips a little bit more bloky than you. I mean,
2:07
Speaker 1: we've established that you know that she knows that, and
2:12
Speaker 1: that's all okay. In twenty twenty five, everything's okay. How
2:17
Speaker 1: have you been?
2:18
Speaker 2: Oh, look, I've been okay. It's been an interesting week.
2:21
Speaker 2: I've had some fun jobs to do, but I actually
2:23
Speaker 2: had a stye on my eye that got infected. It
2:27
Speaker 2: was really yep. So I've been battling an itchy You know,
2:30
Speaker 2: there's nothing worse than an itchy eye that you can't scratch,
2:33
Speaker 2: don't you reckon?
2:35
Speaker 1: There's probably a couple of things worse, like cancer, But
2:38
Speaker 1: I mean, I don't know that that's the worst thing.
2:41
Speaker 1: But I don't know.
2:44
Speaker 2: Qu feel for you.
2:46
Speaker 1: Yeah, I know what you're saying.
2:47
Speaker 2: No, thank you, tiff this.
2:49
Speaker 1: I love it when people say there's nothing worse. I'm like, well,
2:52
Speaker 1: not true, it's true.
2:54
Speaker 2: Okay, you're right, I shouldn't Yeah, you're be literal and
2:57
Speaker 2: I yep, thank you for clapifying that. Again, could get
3:00
Speaker 2: the facts right on the segment.
3:03
Speaker 1: But you do have my empathy, it is. And you know,
3:05
Speaker 1: what shit when you've got a really itchy I and
3:07
Speaker 1: of course you can't fucking scratch it.
3:10
Speaker 2: Actually they're talking about what shit is? This is so funny.
3:13
Speaker 2: So one of the jobs we had this week, Monday
3:15
Speaker 2: was the nicest day. It was very fortunate because we
3:17
Speaker 2: went and did some filming for a client that is
3:21
Speaker 2: called h SP Advanced Equine. So there's two arms to
3:25
Speaker 2: the business. One's a charity where they basically rescue horses
3:28
Speaker 2: and goats and camels and a whole lot of stuff.
3:31
Speaker 2: And they've got this new horse float that lowers itself
3:37
Speaker 2: to the ground, making it easier for the horses to
3:40
Speaker 2: get on and off and to get in and out,
3:42
Speaker 2: and that sort of thing, which is actually a very
3:43
Speaker 2: big thing if you've got an injured horse. And so
3:45
Speaker 2: they wanted us to film it, so I had my drone.
3:47
Speaker 2: I love when I get to go fly my drone
3:50
Speaker 2: and get paid for it. But the funniest thing was
3:53
Speaker 2: we get it already. I've got my drone in the air.
3:56
Speaker 2: They bring the horse out and the horses shat everywhere,
4:00
Speaker 2: so the poor people are out with the shovels, try
4:03
Speaker 2: to clean up. Then they get it all ready again
4:06
Speaker 2: are shit again. So we were constantly trying to fill
4:10
Speaker 2: this thing with this poor horse. So it was kind
4:14
Speaker 2: of funny. And of course, because I was flying the drone,
4:16
Speaker 2: I was quite far away from him all the action,
4:19
Speaker 2: whereas the camera guy, my colleague, was pretty close to
4:22
Speaker 2: it all. So that was kind of funny. And the
4:24
Speaker 2: last time we went filming on location, he backed into
4:28
Speaker 2: an electric fence for camels. It did stig somewhat Luckily
4:35
Speaker 2: he's a big, solid guy, and he did let loose
4:39
Speaker 2: a few expletives in front of the client and the
4:42
Speaker 2: client's sister and the client's husband, but they were all
4:45
Speaker 2: laughing so hard it didn't seem to mind.
4:49
Speaker 1: I'm no tech guru, but if we're loading a horse
4:52
Speaker 1: into a float, why do we need drone footage?
4:55
Speaker 2: Oh? We just wanted to get some interesting angles so
4:58
Speaker 2: he can do cutaway shots. It's just that. So I
5:01
Speaker 2: was doing like circling around, coming in low over the
5:04
Speaker 2: top because it gives a perspective. So my colleague was
5:07
Speaker 2: down quite low watching it lower down, and then as
5:10
Speaker 2: you bring the horse in, it just makes the vision
5:12
Speaker 2: more exciting when you see it from an aerial perspective.
5:15
Speaker 1: Is that the way that you sell it to the client,
5:17
Speaker 1: just because you want to use your drone?
5:20
Speaker 2: Partially? No, she requested it because we'd previously done some
5:23
Speaker 2: footage for them, and she.
5:26
Speaker 1: Did she did request, of course, of course, I bet
5:29
Speaker 1: that was what she led with, Please use your drone? Patrick,
5:33
Speaker 1: All right, Donna, if I have.
5:35
Speaker 2: To, I can flare the drone in your studio and
5:37
Speaker 2: have an aerial shot of you.
5:41
Speaker 1: TIF How are you this morning?
5:43
Speaker 2: Fabulous?
5:44
Speaker 3: Thanks Craigs. Anthony Harper.
5:46
Speaker 1: How's your blood sugar? Because Patrick and I have been
5:49
Speaker 1: worried about it. You got yourself a new toy. Tell
5:51
Speaker 1: our listeners what you've jabbed into your body.
5:56
Speaker 3: Jammed a continuous glucose monitor into my arm. It is
6:02
Speaker 3: so much fun. My theory. My theory was this, I
6:06
Speaker 3: will stop eating those big cookies from that cookie shop
6:09
Speaker 3: up the road that I eat when I don't need to.
6:12
Speaker 3: When I have the visual data that says, hey, look
6:15
Speaker 3: what that does to you, It'll just give me a
6:17
Speaker 3: little bit more reason to be like.
6:19
Speaker 1: I won't have that cookie.
6:21
Speaker 3: I put it on last night and then turned into
6:25
Speaker 3: this game where I was like, I wonder what I
6:27
Speaker 3: can eat to get my blood sugar up, but a
6:32
Speaker 3: very low blood sugar.
6:33
Speaker 2: I've got very low blood sugar. That sounds borderline obsessive
6:37
Speaker 2: to me a bit.
6:38
Speaker 1: Yeah I am, yep, yeah, I'm with you. Like there's
6:41
Speaker 1: especially with her. She does get a little bit infatuated
6:45
Speaker 1: with data and numbers and especially shit about her body.
6:51
Speaker 2: And I very.
6:52
Speaker 1: Rarely say this, but maybe you and cookies are okay
6:55
Speaker 1: for the time being.
6:56
Speaker 3: Well it seems so, but you know, here's some data
6:58
Speaker 3: for you. I put this on a four o'clock yesterday
7:01
Speaker 3: or three point thirty, and it was ready by four
7:03
Speaker 3: point thirty to give me data. It's given me one
7:08
Speaker 3: hundred and fifty seven scan views per so far. I
7:12
Speaker 3: wonder if that's how many times I've opened the app.
7:14
Speaker 2: Surely it's not. Maybe that wouldn't surprise me.
7:19
Speaker 1: But also, could you explain to our listeners who are
7:23
Speaker 1: going as Some get it, but some are like I
7:26
Speaker 1: don't understand what that means or why you're doing that,
7:30
Speaker 1: Like what is the point? I mean? This is nice
7:33
Speaker 1: because it's an intersection of technology, like you're literally putting
7:36
Speaker 1: something into your body and getting all this data printed
7:39
Speaker 1: out and the real world, which is your life. So
7:43
Speaker 1: explain to our listeners why anyone would do that?
7:47
Speaker 3: Which shows our relationship with I think processing of carbohydrates,
7:52
Speaker 3: processing of the food that we eat. So when does
7:54
Speaker 3: it spike our blood sugar and drop our blood sugar?
7:57
Speaker 3: And that can relate to how consistent our energy is
8:02
Speaker 3: or what you know, how good our diet is. I
8:04
Speaker 3: found overnight that I so I sit quite low, and
8:09
Speaker 3: then overnight I dipped into the red zone of very low,
8:13
Speaker 3: which could be potentially under fueling, or it could be
8:19
Speaker 3: not eating enough carbs overall. So for me, it's interesting
8:23
Speaker 3: to go, Okay, well, I think this is how I
8:26
Speaker 3: think I eat, and this is how I think I fuel,
8:28
Speaker 3: But what is my body telling me, especially with the
8:31
Speaker 3: hormonal and energy and fatigue and recovery stuff that I've
8:34
Speaker 3: been going through lately.
8:37
Speaker 2: Tis Can we take a reading now and then do
8:39
Speaker 2: a reading at the end of the show.
8:40
Speaker 3: Yeah, right now. I've just went down that I had.
8:43
Speaker 3: I was just driving home and I sent Harps a screenshot.
8:47
Speaker 3: I was down to three point four or something. I
8:49
Speaker 3: dipped low again and I'd eaten breaky this morning, and
8:53
Speaker 3: then I came home. I had a teaspoon of honey
8:55
Speaker 3: just to fucking pump it up see what I could do,
8:57
Speaker 3: and then my protein hot chocolate and it's currently sitting
9:01
Speaker 3: at five point six. Stay tuned, everybody.
9:04
Speaker 2: Awesome, OK, I've written it down.
9:07
Speaker 1: It's definitely going to drop over the next fifty minutes
9:10
Speaker 1: or so.
9:11
Speaker 2: Go on, Patrick, I can I just say, just to
9:13
Speaker 2: make you feel a little bit better about being obsessive
9:15
Speaker 2: or maybe not obsessive, depending on how you compare it.
9:18
Speaker 2: A few years ago I decided to try out the
9:20
Speaker 2: keto diet, so ketosis, So basically it's where you substitute
9:26
Speaker 2: your carbohydrates for protein and fat, and that becomes your
9:31
Speaker 2: body's fuel source. So when your body goes into a crisis, effectively,
9:35
Speaker 2: when you don't have enough carbohydrates, it starts to digest
9:39
Speaker 2: fats and proteins, and that's ketosis, is the way I
9:42
Speaker 2: understand it. So the obsession that I got to was
9:45
Speaker 2: I bought a very large box of keto sticks and
9:49
Speaker 2: I proceeded then to pee on them every half hour.
9:55
Speaker 3: Sound how did you have that much pea?
9:58
Speaker 2: Well, I had to keep drinking. So yes, I was
10:02
Speaker 2: borderline obsessive because I wanted to see how much fat
10:05
Speaker 2: I was urinating out my fuel intake compared to what
10:11
Speaker 2: was coming out of me. So yeah, I think we
10:14
Speaker 2: probably fall in the same spectrum of ossiveness.
10:18
Speaker 1: I just had a visual of you weeing on the
10:21
Speaker 1: sticks and getting it on your hand, and I just
10:23
Speaker 1: don't need.
10:24
Speaker 2: That at this I did say I was trading at
10:26
Speaker 2: Harpers at the time and probably doing weights with you.
10:30
Speaker 1: Oh God, I hope we didn't touch.
10:32
Speaker 2: Hey, just when we did weights together, Craig, you know that.
10:37
Speaker 1: Let's just oh, we did that as well. TIF. Let's
10:41
Speaker 1: just remind people that, so people who are pre diabetic
10:45
Speaker 1: or diabetic, so their blood sugar typically is going to
10:49
Speaker 1: be higher because their pancreas doesn't work as well or
10:52
Speaker 1: perhaps at all, which is why pancres releases insulin, which
10:56
Speaker 1: is why some people need to inject insulin to get
10:59
Speaker 1: it down. So what's a kind of a regular normal
11:04
Speaker 1: like a healthy person reading in the morning, And what's
11:07
Speaker 1: the like, what's the zone that's okay? And then the
11:10
Speaker 1: zone that we should worry.
11:11
Speaker 3: So the zone on listograph here, it's got a little
11:14
Speaker 3: green bar and it sits between four and ten. So
11:18
Speaker 3: I think between four and ten is where you want
11:21
Speaker 3: to be bouncing around right, five point six five point six,
11:27
Speaker 3: five points five point three.
11:28
Speaker 1: Now, well, by the way, everyone, none of this is
11:32
Speaker 1: medical advice. I feel like ten might be getting a
11:34
Speaker 1: little high. That's just my recollection. But I'm interested to
11:39
Speaker 1: see what tip is in forty minutes from now. My
11:42
Speaker 1: client done you sorry.
11:45
Speaker 3: My client is type one diabetic and she wears these
11:48
Speaker 3: and she's a screenshot of mind to her yesterday and
11:51
Speaker 3: she's screenshot back and she has a lot of hypos overnight,
11:55
Speaker 3: so she just to hop up. She her alarm wakes
11:57
Speaker 3: her up and she got to smash jelly beans.
11:58
Speaker 2: I mean, how awesome is that. Oh, we gotta have
12:00
Speaker 2: a jelly brain for your health, but.
12:04
Speaker 1: That you'd want it at three am.
12:06
Speaker 3: Though, No, I mean it'd be for diabetics, it'd bit.
12:09
Speaker 3: It's such a big thing and it's so important.
12:13
Speaker 1: How many night ways do you have, Tiff.
12:16
Speaker 2: I don't.
12:16
Speaker 3: I get up it early in the morning and have
12:18
Speaker 3: ways unless I'm not. If I'm not sleeping, I'll have
12:22
Speaker 3: a lot. If I have one of those insomniac nights
12:25
Speaker 3: where I'm just wide awake, then I'll go quite frequently.
12:29
Speaker 3: But normally I'll stay stay select till about five five,
12:34
Speaker 3: have my best morning wi Patrick zero.
12:37
Speaker 2: Yeah, I'd never get up to go to the toilet,
12:39
Speaker 2: but I do. I wake up early and then go
12:41
Speaker 2: back to sleep again, so I'm usually up about two
12:44
Speaker 2: thirty three thirty, but i never feel I need to.
12:46
Speaker 2: That's also due partly because I tend to not drink
12:49
Speaker 2: after about six o'clock, and that way it curtails any
12:53
Speaker 2: need to then have to get up to go to
12:55
Speaker 2: the toilet. Because I actually my bathroom's downstairs as well,
12:59
Speaker 2: so have to. And the statistics say that the most
13:04
Speaker 2: critical time for falls is in the middle of the night,
13:07
Speaker 2: when you get up out of bed to go for
13:08
Speaker 2: a week.
13:10
Speaker 1: And I've got your age. Yes, indeed, I would love
13:16
Speaker 1: to do a biological age test on you. I reckon
13:19
Speaker 1: you would be thirty five.
13:22
Speaker 2: No, that's lovely, but no, yeah.
13:26
Speaker 1: You'd be. I mean like, you've never really, you've never
13:30
Speaker 1: smashed your body. You've never been out of shape per se,
13:33
Speaker 1: You've never been a drinker or a drug taker. You're
13:38
Speaker 1: generally happy, like I reckon, And you've got good genetics,
13:44
Speaker 1: and you're always moving your body and you do your
13:46
Speaker 1: you know, your origami or whatever it's called, your body
13:50
Speaker 1: holding the same thing, same thing. I'm kidding everyone. I
13:56
Speaker 1: know the difference.
13:57
Speaker 2: And I'm sitting adding my Schnauzer as well.
14:00
Speaker 1: Wow, you sound like Dame Everett. We like that. Yeah,
14:04
Speaker 1: that is one of the funniest jokes of alter. I know.
14:07
Speaker 2: We're spoken about it. It's the best look up Damen
14:09
Speaker 2: and Schnauzer. It's I still laugh every time I see it.
14:13
Speaker 1: Oh god, he is he was so good, A bit
14:17
Speaker 1: like polarizing. Yeah, I can remember one of my American
14:20
Speaker 1: friends watched that had no idea what was going on,
14:24
Speaker 1: and you know, very Australian humor. But anyway, let's talk
14:27
Speaker 1: about tech.
14:29
Speaker 2: Oh yeah, we're talking about coffee. First off. Can I
14:31
Speaker 2: just add a little, quick, little interesting story about research
14:34
Speaker 2: being done here in Australia about coffee grounds, because frighteningly
14:38
Speaker 2: he wait for this, there's an amazing amount of coffee
14:42
Speaker 2: that's produced every year in the grounds. From that is
14:45
Speaker 2: about ten billion kilograms okay, ten billion kilograms of coffee
14:49
Speaker 2: is wasted globally, and now research being done here in
14:53
Speaker 2: Australia at r MIT is looking at ways to heat
14:58
Speaker 2: the coffee to a really the left over grounds, heat
15:01
Speaker 2: it to a really high temperature without moisture, and then
15:04
Speaker 2: it can be used to reinforce concrete and it could
15:07
Speaker 2: actually be make concrete even stronger and tastes better when
15:11
Speaker 2: you lick it.
15:12
Speaker 1: Well, I think, boom, boom, Yeah, you're an idiot. You
15:17
Speaker 1: were just waiting for that last set.
15:19
Speaker 2: Absolutely yeah. Maybe or sugar on top before you lick it.
15:23
Speaker 1: Yeah yeah, yeah, well that makes sense. I mean it's
15:26
Speaker 1: probably by the time it's dehyd all the waters out
15:29
Speaker 1: of it's probably not unlike sawdust or wood or something.
15:33
Speaker 2: It's going to be heated to about three hundred and
15:35
Speaker 2: fifty degrees celsiu, so it's pretty darn hot. And it's
15:39
Speaker 2: called pyalizing, and that's what breaks down all the organic
15:42
Speaker 2: molecules and it becomes this carbon rich charcoal like substance,
15:48
Speaker 2: and it's called biochar. And then they use that and
15:51
Speaker 2: they can combine it with concrete. But it makes concrete
15:54
Speaker 2: even stronger as well as it actually is. It forms
15:58
Speaker 2: a much more robust and strong the concrete.
16:01
Speaker 1: Then your whole house smells like a cappuccino.
16:04
Speaker 2: That wouldn't be too bad, though.
16:08
Speaker 1: It would be it would I wonder what the I
16:11
Speaker 1: mean when you say it's got to be what did
16:14
Speaker 1: you say he treated three hundred and fifty Yeah, I
16:17
Speaker 1: wonder what the cost of that is. I wonder if
16:19
Speaker 1: you do a cost benefit analysis and you've got to
16:21
Speaker 1: get all the stuff, You've got to get all the
16:24
Speaker 1: coffee beans. Then you've got to put it through this process,
16:27
Speaker 1: and then you've got to because to me, I don't
16:30
Speaker 1: I feel like concrete is not a super expensive kind
16:34
Speaker 1: of substance.
16:35
Speaker 2: Yeah, But the problem is that we're using so many
16:38
Speaker 2: other materials that could be replaced by the coffee. So
16:41
Speaker 2: there's you know, you've you've got to think about how
16:45
Speaker 2: they're currently making coffee and this is one of coffee.
16:48
Speaker 2: They're currently making concrete and they're using natural resources like sand,
16:53
Speaker 2: and if this could replace the sand and it's a
16:55
Speaker 2: waste product there and they could flip it a little bit,
16:58
Speaker 2: then that could be beneficial as well. Because there's a
17:01
Speaker 2: lot of sand that gets used in making concrete and
17:05
Speaker 2: they're saying replace that with this ten billion kilograms of waste.
17:10
Speaker 1: I feel like we're not running out of sand anytime soon.
17:14
Speaker 2: Will you live by the beach?
17:18
Speaker 1: Have you seen have you seen the deserts around the world.
17:21
Speaker 1: I feel like there's a fair bit of it. Okay,
17:27
Speaker 1: I don't know. I don't know that that's a good
17:29
Speaker 1: sales pitch.
17:31
Speaker 2: Please don't RT don't ever used if you're marketing. I'm
17:35
Speaker 2: not doing the coffee ground at sales pitch.
17:39
Speaker 1: Tell us about why I should be terrified of my dishwasher.
17:44
Speaker 2: Well, look, it sounds like I'm ringing the alarm bells,
17:47
Speaker 2: but this is again some research. It's being done here
17:50
Speaker 2: in Australia on micro plastics and nanoplastics, and so the
17:56
Speaker 2: University of Queensland is running studies of they put a
17:59
Speaker 2: whole lot of plastic stuff out of the kitchen into
18:02
Speaker 2: a dishwasher and they found that basically annually about thirty
18:08
Speaker 2: three million plastic particles a year are coming out into
18:12
Speaker 2: our sewage system via dishwashers, and so they're kind of
18:16
Speaker 2: pushing for more research into what it means with these
18:19
Speaker 2: micro and nanoplastics. And every individual wash that is done
18:25
Speaker 2: releases nine hundred and twenty thousand particles. So a full
18:29
Speaker 2: load of plastics in a dishwasher is churning out nine
18:32
Speaker 2: hundred and twenty thousand particles of plastic. And this is
18:36
Speaker 2: the concern because microplastics and nanoplastics are everywhere and we're
18:40
Speaker 2: contributing to that by just running the dishwasher. I know
18:43
Speaker 2: it's an alarm bell kind of statistic, but it does
18:46
Speaker 2: sound pretty intense, doesn't it. That's when you're running at
18:48
Speaker 2: about seventy degrees as well.
18:50
Speaker 1: I get scared of plastic and heat. I feel like, obviously,
18:55
Speaker 1: I think, oh, I know, we're still allowed in invert
18:58
Speaker 1: commas to use plastic in the microwave but I never
19:01
Speaker 1: put plastic plastic in them. I'd just rather wash all
19:06
Speaker 1: my plastic shit under the tap.
19:09
Speaker 2: You know, I threw away my plastic chopping boards this
19:12
Speaker 2: week after reading this article, because when you cut into
19:15
Speaker 2: a plastic cutting board, you can see the grooves and
19:18
Speaker 2: so plastics are being released every time you slice something.
19:21
Speaker 2: So I've got wood I mean, I generally use wooden
19:24
Speaker 2: cutting boards. It's only when I'm doing my dates for
19:27
Speaker 2: my porridge that i use the smaller cutting boards.
19:30
Speaker 1: It's your dates for your porridge.
19:32
Speaker 2: I had gates to porridge and my cheer seeds and
19:35
Speaker 2: my hemp seeds and all lots of stuff. It's a
19:37
Speaker 2: great porridge when you come and start make porridge for you.
19:41
Speaker 1: We've heard enough about your dates over the years. All right,
19:45
Speaker 1: tell us about the Melbourne company that got busted for
19:48
Speaker 1: dodgy AI fabricated citations or reviews or recommendations.
19:56
Speaker 2: No, these are citations being used in court. So it's
20:00
Speaker 2: in Melbourne. Yeah, yeah, they were using citations in court documents.
20:03
Speaker 2: And it ends up what happened was a junior solicitor,
20:07
Speaker 2: so she was using a Google scholar search tool and
20:10
Speaker 2: she said, oh, I'd used it at University, and it
20:13
Speaker 2: was no problem when I used it at UNI, and
20:15
Speaker 2: then she used it in a real case, and so
20:17
Speaker 2: they've been ordered by the federal court to personally pay
20:21
Speaker 2: costs for submitting it was a Native Title summary document
20:25
Speaker 2: and it's in all these citations that were wrong, either incorrect,
20:30
Speaker 2: or didn't actually exist in the first place. So, yeah,
20:33
Speaker 2: big slap on the hand to this company, this legal
20:36
Speaker 2: firm for using the court.
20:38
Speaker 1: There's going to have to be more and more of that, mate,
20:39
Speaker 1: I think with you know, the amount of content that
20:44
Speaker 1: AI can produce in no minutes, like can you can
20:49
Speaker 1: create a ten page document and in thirty seconds you
20:52
Speaker 1: just got to print it out and that it probably
20:55
Speaker 1: reads and looks legit, But then somebody has got to
20:57
Speaker 1: do all of the work to actually find out that
20:59
Speaker 1: it's bullshit it don't they.
21:01
Speaker 2: Yeah, look, we do use a little bit of AI sometimes.
21:05
Speaker 2: I like to use it in summaries if it's really
21:07
Speaker 2: it's a lot of information and I get it to
21:09
Speaker 2: summarize for my own use. But I still find that
21:12
Speaker 2: you need to the human approach is still really important
21:15
Speaker 2: to add the human element to that to kind of
21:18
Speaker 2: be critical to look at whether or not that information
21:20
Speaker 2: is concise, and you know, we wouldn't just I wouldn't
21:24
Speaker 2: certainly just use it without checking it first. But it
21:28
Speaker 2: can be fantastic and it can really assist in a
21:30
Speaker 2: lot of things. I saw another article this week that
21:33
Speaker 2: looks exciting and interesting in the use of AI art
21:38
Speaker 2: and it's a group that it's a camera based not
21:41
Speaker 2: for profit, and what they're doing is they're encouraging women
21:45
Speaker 2: to try to use AI generating tools as a part
21:49
Speaker 2: of a competition to talk about representation of women in
21:54
Speaker 2: AI to kind of change the narrative. And I started
21:57
Speaker 2: reading this and I thought, this kind of makes a
21:59
Speaker 2: lot of sense because there is a built in bias
22:02
Speaker 2: in AI, and so I did a little bit of
22:05
Speaker 2: investigating myself, and so I thought, what I'll do is
22:08
Speaker 2: I'll jump into a few AI image generators and I'll
22:12
Speaker 2: just do a search on you know, show me a
22:14
Speaker 2: picture of a young woman, show me a picture of
22:16
Speaker 2: a middle aged woman, and an old woman, and the
22:19
Speaker 2: same with show me a picture of a young man,
22:21
Speaker 2: middle aged and old man. And all of them were
22:24
Speaker 2: Anglo Saxon. So I was using the meta AI and
22:28
Speaker 2: to a fault, they just depicted Anglo saxon white people.
22:34
Speaker 2: And then I thought, okay, well what other biases might
22:36
Speaker 2: there be? So I typed in Alexander the Great and
22:39
Speaker 2: his young lover. Okay, and it depicted Alexander the Great
22:43
Speaker 2: with the young woman. Now, when I ran the same
22:46
Speaker 2: AI search using Gemini, that's the Google search it then
22:51
Speaker 2: it wasn't. It was a text search, not an image search.
22:54
Speaker 2: It gave me a very detailed bit of information about
22:57
Speaker 2: the fact that it was thought that Alexander the Great
23:00
Speaker 2: gay and was homosexual and had male lovers, which is
23:03
Speaker 2: quite widely known. So it gave me citations and references
23:07
Speaker 2: to historical information, you know, and a whole lot of
23:10
Speaker 2: information that seemed to be quite factual. So then I
23:13
Speaker 2: went back to the AI image generator, the Meta AI
23:17
Speaker 2: image generator, and I changed the prompt from Alexander the
23:21
Speaker 2: Great and his young lover to Alexander the Great and
23:23
Speaker 2: his young male lover. And the response I got from
23:27
Speaker 2: Meta was oops, I can't generate that image.
23:32
Speaker 1: Wow?
23:32
Speaker 2: Yeah wow?
23:35
Speaker 1: So how did I mean? Me being serious? For once?
23:40
Speaker 1: How does that make you feel?
23:42
Speaker 2: Well? On multiple levels, one, that bias is factually wrong,
23:48
Speaker 2: because we know there's a lot of historical information about
23:52
Speaker 2: Alexander the Great and about his you know. But also
23:56
Speaker 2: society was very different at that time. There was a
23:58
Speaker 2: very you know, woman society and the idea that a
24:04
Speaker 2: male would have a male lover as opposed to a
24:07
Speaker 2: wife to have children. It was very different. It was
24:10
Speaker 2: you know, it's kind of different to what our standards
24:12
Speaker 2: are today or what you know, society, societical societal societal
24:16
Speaker 2: standard are today. But for me personally, when I look
24:20
Speaker 2: at the search for Anglo Saxons, but specifically something that
24:23
Speaker 2: is factually correct but refuses to depict Alexander the Great
24:27
Speaker 2: with a male lover, it's kind of like, what the hell?
24:31
Speaker 2: So what are the other biases that are happening when
24:34
Speaker 2: people are doing searches. That's what it led me to feel.
24:36
Speaker 2: So it was a bit shitty really when you think
24:38
Speaker 2: about it. But also it's if they're getting this wrong,
24:42
Speaker 2: factually wrong, then what else is being factually wrong? When
24:46
Speaker 2: it's churning out this information.
24:48
Speaker 1: And even when you fed it the right information or
24:51
Speaker 1: the right data, you went, well, actually here's some it
24:54
Speaker 1: went ah, can't do it. I mean that's weird, that's what.
24:58
Speaker 2: Yeah, it's almost called the over tone to that is,
25:01
Speaker 2: it's an inappropriate image. And that's I guess when you
25:04
Speaker 2: ask the question, how did I feel there's an overtone
25:07
Speaker 2: of this AI saying that the depiction of two men
25:13
Speaker 2: was inappropriate. And I did then subsequently use a different
25:17
Speaker 2: AI and it had no problem with generating the images
25:20
Speaker 2: when I did the same prompts. So you just got
25:24
Speaker 2: to know that, you know, use more than one AI.
25:27
Speaker 2: See what the results are if you're not getting the
25:29
Speaker 2: results you want or you think that they're wrong. But
25:33
Speaker 2: you know, we just saw that with a legal case
25:35
Speaker 2: in Melbourne.
25:36
Speaker 1: You know, agents, if I've got to do something mildly important,
25:40
Speaker 1: like I'll say, you know, I want to put in
25:43
Speaker 1: a document that might be just five pages, I'll put
25:47
Speaker 1: it into chat GPT four point zero or there's another
25:51
Speaker 1: one which is more logic. I think it's called zero
25:55
Speaker 1: point three or something, which is part of the suite
25:58
Speaker 1: of options in chat GPT, and I also use Claude.
26:02
Speaker 1: And I just see the difference between the two, and
26:05
Speaker 1: it's quite stark sometimes speaking of AI, I saw this
26:10
Speaker 1: the other day. But you tell us about the Microsoft
26:15
Speaker 1: study that looked comparing doctors with AI diagnosing complex health conditions.
26:23
Speaker 2: I guess that this is really interesting because Microsoft is
26:27
Speaker 2: coming out and claiming that AI systems perform better than
26:31
Speaker 2: human doctors at doing complex health diagnoses, so they're touting
26:39
Speaker 2: what they're calling a medical superintelligence. Now, I guess when
26:43
Speaker 2: you think about it, if you go to a general
26:45
Speaker 2: practitioner to diagnose something, then you're relying on that practitioner
26:50
Speaker 2: having had years of experience, but they can't instantly recall
26:55
Speaker 2: all the research papers, all the research study, all the information.
26:58
Speaker 2: And so to me, it makes sense if you're using
27:02
Speaker 2: this as a tool as a medical professional. And that
27:05
Speaker 2: comes back to because they will be a asking the
27:09
Speaker 2: right questions but also querying things they think may not
27:12
Speaker 2: be right. I mean, obviously this is you know, Microsoft's
27:15
Speaker 2: own AI unit that's coming out and making these claims.
27:20
Speaker 2: But from a diagnostic perspective, if you can draw and
27:23
Speaker 2: all that, I mean, if I have a boil on
27:25
Speaker 2: my foot, there could potentially be millions of pictures of
27:29
Speaker 2: different boils on feet, and they could do an instant
27:32
Speaker 2: comparison and are both of you are turning your noses up.
27:37
Speaker 2: I don't know the first thing that came to mind,
27:39
Speaker 2: but what I'm saying is if you have. Okay, here's
27:42
Speaker 2: a good one. Skin cancer. This is a really important one.
27:45
Speaker 2: If you think about a mole on your on your shoulder,
27:48
Speaker 2: and I'm always blown away. I go to my doctor
27:52
Speaker 2: every twelve I've I've got a doctor who is a
27:54
Speaker 2: dermatologist who specializes in that area, and I only ever
27:58
Speaker 2: go to him once a year to get him to
28:00
Speaker 2: have a look at my body. And he looks at
28:01
Speaker 2: all the little spots and things and he can I
28:04
Speaker 2: can look at two spots and they look exactly the
28:06
Speaker 2: same and he says, no, no, no, that's this and
28:08
Speaker 2: that's that. It's like really and so someone who's a
28:11
Speaker 2: specialist in that area has lots and lots and lots
28:14
Speaker 2: of experience. But if your GP doesn't, then they could
28:17
Speaker 2: be using an AI tool that can compare so many
28:20
Speaker 2: different images and then come up with a result. And
28:22
Speaker 2: particularly in Australia, with what two out of three Australians
28:25
Speaker 2: will get a form of skin cancer. That's a really
28:27
Speaker 2: frightening statistic.
28:29
Speaker 1: Yeah, I think I think that a couple of things
28:32
Speaker 1: struck me when I read that, and then hearing you,
28:34
Speaker 1: then I think people get really defensive and like fuck
28:38
Speaker 1: II doctors studied for and I agree doctors are brilliant,
28:42
Speaker 1: but also like everyone on the planet, doctors a human,
28:46
Speaker 1: doctors get things wrong. Podcasters get things wrong, you know,
28:51
Speaker 1: bricklayers get things wrong, neurosurgeons get there, you know, And
28:55
Speaker 1: it's okay. I think it's not a replacement, like you said.
28:58
Speaker 1: I think it's just a valuable tool. And you know,
29:02
Speaker 1: when you know, AI doesn't get tired, like, it doesn't fatigue,
29:08
Speaker 1: it doesn't you know, So I think we would be
29:11
Speaker 1: even in academia. Now there's this real kind of debates
29:16
Speaker 1: not the right word, but conversation going on around how
29:20
Speaker 1: to use AI in research, how to use AI in
29:24
Speaker 1: academia in general, because like if I can if I
29:31
Speaker 1: can write a paper and then I just go, I
29:36
Speaker 1: can put that through AI and say, do all my
29:38
Speaker 1: references at the bottom, and it's done in thirty seconds,
29:43
Speaker 1: saving me three hours. It's not like, well that's it's
29:48
Speaker 1: it's not really cheating. It's like, well, all the contents
29:51
Speaker 1: in there, it's drawing from my work and my references
29:54
Speaker 1: and the authors that I've used and the papers that
29:57
Speaker 1: I've used. And by the way, there is actually a
29:59
Speaker 1: program that does all of this, multiple programs but it's
30:02
Speaker 1: a bad example. But yeah, I think trying to figure
30:04
Speaker 1: out how to ethically use AI moving forward, but also
30:10
Speaker 1: with as you inferred, realizing that it's going to be
30:14
Speaker 1: inaccurate and it's going to get shit wrong. Ergo you
30:18
Speaker 1: know what's his name and his lover?
30:20
Speaker 2: Yeah, you know, it's interesting we have only ever recorded
30:23
Speaker 2: this podcast late in the day once in the entire
30:27
Speaker 2: years what we're doing. Two years at least we've been
30:30
Speaker 2: doing podcast. And interestingly, I know for a fact that
30:34
Speaker 2: I perform so much better in the morning in terms
30:37
Speaker 2: of my recall, my engagement, and I think that this
30:40
Speaker 2: very same podcast, using the same topics, same information, done
30:44
Speaker 2: at say eight o'clock at night, would be totally different,
30:47
Speaker 2: and I reckon more crab because I just work better
30:51
Speaker 2: in the morning. I'm a morning person, and I think
30:53
Speaker 2: that for me, particularly with recall, if I'm tired, you know,
30:56
Speaker 2: all those sorts of factors play a part. So if
30:59
Speaker 2: you're being you know, sitting down with your GP and
31:01
Speaker 2: you're the last appointment for the day and he's a
31:04
Speaker 2: bit foggy because he's had a long day, then or
31:06
Speaker 2: she potentially that could be something that could impact their diagnosis.
31:13
Speaker 1: And I think we've got a factor that and just
31:14
Speaker 1: be real and practical and say, it's not that they're
31:17
Speaker 1: bad people, it's not that they don't know a lot,
31:19
Speaker 1: it's not that they don't care. It's just that they fatigue.
31:22
Speaker 1: I mean, there's quite a bit of research done, kind
31:26
Speaker 1: of more curiosity based research than life changing research around
31:31
Speaker 1: when you want to go before a judge. If you've
31:34
Speaker 1: been charged with something like, yeah, the best time of
31:38
Speaker 1: the day to see a judges early in the day,
31:40
Speaker 1: when he or she is in a better mood, they're fresh,
31:43
Speaker 1: they've had breakfast, they've had a sleep, and nobody's pissed
31:47
Speaker 1: them off.
31:47
Speaker 2: Yet they just don't think don't go to don't go
31:54
Speaker 2: in front of a judge of the first place?
31:56
Speaker 1: Well, I mean, you know it hasn't stopped you three
31:58
Speaker 1: or four times.
32:00
Speaker 2: Tell us about I've got to tell you one more
32:03
Speaker 2: AI story because I'm so excited about this. Go on cool.
32:07
Speaker 2: There's a new film that's come out. Wait, it's called
32:11
Speaker 2: Watch the Skies And I was about to hit you
32:15
Speaker 2: up with that.
32:16
Speaker 1: Will you send me this fucking list? And then you
32:19
Speaker 1: don't let me use the list? Like wait, wait, I've
32:22
Speaker 1: literally got it in front of me.
32:23
Speaker 2: You know, how have you noticed he has this look
32:26
Speaker 2: on his face and when he's about to change the topic.
32:30
Speaker 1: Don't talk to Tiff. Don't talk to Tiff and try
32:32
Speaker 1: and get support from her. Why do you send me
32:36
Speaker 1: this list if you don't let me use the list?
32:38
Speaker 1: I'm kidding. I'm kidding. Keep going. Tell us about Watch
32:41
Speaker 1: the Skies.
32:42
Speaker 2: Okay, it's a Swedish UFO film and it's about this
32:46
Speaker 2: person whose father is abducted by aliens or thinks their
32:50
Speaker 2: father has been abducted. But that's not the exciting thing.
32:53
Speaker 2: I mean, it does seem like a movie that I
32:55
Speaker 2: would definitely watch. But what I'm most excited about is
32:59
Speaker 2: that they've recorded it in Swedish, that's the original film,
33:03
Speaker 2: and then they got the actors to revoice it in English,
33:07
Speaker 2: and instead of reshooting the film, they've used AI to
33:11
Speaker 2: move their lips in time to the English phrases. So
33:16
Speaker 2: you're having to watch that kind of really weird thing.
33:19
Speaker 2: Remember the old, the old martial art film dub.
33:24
Speaker 1: You disrespect by Family.
33:26
Speaker 2: Yeah, that's the one, and everybody Craig just moved his lips. Anyway,
33:31
Speaker 2: This is an audio podcast. By the way, I just
33:35
Speaker 2: wanted to make you too laugh and you know it's
33:37
Speaker 2: funny though, because look, there's been a little bit of criticism.
33:40
Speaker 2: It's like, well, just watch the original and read the subtitles.
33:43
Speaker 2: But I was watching a German video this morning with subtitles.
33:47
Speaker 2: Germans talk so fast and the words are so long
33:50
Speaker 2: that it's difficult to watch the action on screen whilst
33:53
Speaker 2: you're still reading the subtitles. So being able to have
33:56
Speaker 2: an English dub that actually moves in time to the
33:59
Speaker 2: lip movement. So this is from my understanding, this is
34:01
Speaker 2: the first time it's been done properly. So it's called
34:03
Speaker 2: Watch the Skies. It's only just coming out, but it
34:06
Speaker 2: looks like it's a really great use of deep fake. Effectively,
34:11
Speaker 2: that's the AI, you know, we call it deep fake,
34:14
Speaker 2: and what they're doing is moving the lips in time
34:16
Speaker 2: to the movements of the English So.
34:19
Speaker 1: I love it. Not nearly as impressive as that, but
34:22
Speaker 1: something in the same ballpark kind of mate is I
34:27
Speaker 1: saw this. This is very new used to me and
34:30
Speaker 1: probably you and TIF will eye roll and go well,
34:33
Speaker 1: of course, but so they've got this tech now where
34:37
Speaker 1: let's say you've got to you've got to do a
34:41
Speaker 1: five or six minute video that's scripted, so you can
34:45
Speaker 1: literally have it on your screen and the cameras in
34:50
Speaker 1: front of you and your scripts to the right, and
34:53
Speaker 1: so your eyes are obviously diverted, and then you push
34:55
Speaker 1: a button and it makes it look as though you're
34:58
Speaker 1: talking to camera. That's probably has that been around forever?
35:03
Speaker 2: No, I don't know. That's the first I've heard of it.
35:05
Speaker 2: But it makes it lot good. Yeah, that's really exciting that.
35:08
Speaker 1: Well, I'm about to record a fifty video series and
35:12
Speaker 1: I'm like, obviously I freestyle a lot, but i also
35:16
Speaker 1: have notes. So I've got the screen in front of me,
35:20
Speaker 1: the video in front of me, and I've also got
35:22
Speaker 1: my notes to the right usually of whatever it is,
35:25
Speaker 1: you know, even you know, if I'm doing a mentoring
35:28
Speaker 1: something or an online gig, You've still got your notes
35:31
Speaker 1: to the right. So every now and then your eyes
35:33
Speaker 1: are not looking at the camera and you're talking looking
35:35
Speaker 1: to the right, Whereas this corrects all of that, so
35:38
Speaker 1: you're always looking at the camera.
35:40
Speaker 2: Yeah, that's exciting. That's pretty pretty cool.
35:43
Speaker 1: Yeah, people who do my job, it makes it. Yeah,
35:46
Speaker 1: it makes it better. Tell us about cars. Tell us
35:48
Speaker 1: about one of my favorite topics.
35:50
Speaker 2: I know you love all this sort of stuff. Well,
35:52
Speaker 2: there's a people really know the show Me Company, the
35:56
Speaker 2: Chinese phone manufacturer for making phones show Me, but they.
36:01
Speaker 1: Is that the one that's spelt with an X.
36:04
Speaker 2: Yeah, Xiaomi show Me. It's pronounced wow. Gets probably a
36:09
Speaker 2: good thing to point out because when people see it,
36:11
Speaker 2: they probably pronounce it x Iomi or something, but it's
36:14
Speaker 2: show Me. Yeah. So because in Chinese X's pronounces a
36:19
Speaker 2: sound like shan where the terracotta warriors are xi An. Anyway,
36:25
Speaker 2: they've released their first electric car. But within the first
36:30
Speaker 2: eighteen hours they managed to get two hundred and forty
36:33
Speaker 2: thousand orders. There's a lot of people been waiting for
36:37
Speaker 2: this new electric car.
36:39
Speaker 1: Yeah, that's status. Yeah, China's gone nuts with evs, like nuts.
36:47
Speaker 2: The model is called the y U seven and it's
36:50
Speaker 2: kind of the equivalent to the Tesla Model Y but
36:54
Speaker 2: a little bit cheaper. And that's what you're right here
36:57
Speaker 2: in China. But I remember the first time I went
36:59
Speaker 2: to China was twenty thirteen, and then I went back
37:03
Speaker 2: probably about five years later, and it had gone from
37:07
Speaker 2: the first time I was. There. Lots of motorbikes churning
37:10
Speaker 2: out fumes. So Beijing was always renowned for having this
37:14
Speaker 2: haze sitting over it. And then in five years time
37:19
Speaker 2: there was all a conversion to electric so everyone was
37:21
Speaker 2: riding electric scooters instead of petrol driven scooters, so no
37:25
Speaker 2: more churning out from all the scooters that have been
37:27
Speaker 2: driven around. And the other thing that was mind blowing
37:29
Speaker 2: for me at least going from Beijing to a coastal
37:33
Speaker 2: town called Beida hur which is where we do tai chi.
37:38
Speaker 2: The drive there is quite a few hours, and it
37:41
Speaker 2: was not forested, and then all of a sudden, five
37:43
Speaker 2: years later, totally forested. They just planted. So you know,
37:48
Speaker 2: that's I guess one of the things that a big
37:51
Speaker 2: kind of you know country where you put to dictate
37:54
Speaker 2: down you say right, no more petrol driven motorbikes, and
37:57
Speaker 2: they're gone, No want more trees, We're going to put more.
38:00
Speaker 2: I mean, I'm not suggesting that's probably the best way
38:02
Speaker 2: of goning, but amazing that they can do that overnight.
38:06
Speaker 2: And as you said, there's a real passion now for
38:09
Speaker 2: Chinese produced electric vehicles. And you know, eighteen hours, two
38:13
Speaker 2: hundred and forty thousand orders is pretty epic. I reckon I.
38:16
Speaker 1: Watched a video yesterday. It was a CEO of Ford
38:20
Speaker 1: America and he'd just come back from China and he
38:24
Speaker 1: was saying that all the basically all the Western manufacturers
38:31
Speaker 1: need to get their shit together because the stuff they're
38:34
Speaker 1: doing in China is phenomenal. And it used to be
38:37
Speaker 1: our Chinese cars junk. Right. He's like, they are better
38:41
Speaker 1: and this is the He's like, we are behind now,
38:47
Speaker 1: which is interesting.
38:48
Speaker 2: And.
38:50
Speaker 1: It's like, yeah, the quality is the build quality is amazing,
38:53
Speaker 1: which that used to be the issue. The technology is amazing,
38:58
Speaker 1: and because they are so efficient, the price is better.
39:02
Speaker 3: Yeah.
39:02
Speaker 1: So it's it's I mean we saw this hap be
39:06
Speaker 1: hard to compete.
39:07
Speaker 2: Yeah, we saw this with Japan in the seventies and eighties,
39:10
Speaker 2: where they were the imitator and then became the innovator.
39:14
Speaker 2: And that's what's happened in China. You know the term,
39:17
Speaker 2: you know, Dji is the drone manufacturing company, and it's
39:21
Speaker 2: it's recognized everywhere that Dji, the Chinese brand, makes the
39:25
Speaker 2: best drones in terms of you know, what's out on
39:28
Speaker 2: the market at the moment. They're pretty amazing. I'm still
39:31
Speaker 2: using the drone that I use this week with my
39:33
Speaker 2: client is an old drone by standards. Now, I's think
39:36
Speaker 2: it's probably about five or six years old, and the
39:38
Speaker 2: footage is four k It's stunning. It's got what they
39:41
Speaker 2: call a gimbal on the bottom of it, so if
39:43
Speaker 2: the wind blows the drone around and it moves, the
39:46
Speaker 2: cameras is perfectly locked. It's stunning. It's really great and
39:51
Speaker 2: the footage is great. And that was you know, five
39:53
Speaker 2: or six year old drone and it's still working exceptionally
39:56
Speaker 2: well today.
39:58
Speaker 1: The same thing happened with you know, you said Japan
40:01
Speaker 1: and now we're China. In the middle of those two
40:03
Speaker 1: was Korea, remember South Korea with Hyundai and Kia, and
40:07
Speaker 1: because when Hyundas came out, they were fucking terrible and
40:11
Speaker 1: now they're amazing, like the build quality on all of
40:15
Speaker 1: these things, and it's I guess it's a natural evolution.
40:18
Speaker 1: So we will watch this space tell me why driving
40:23
Speaker 1: my car fast away from the lights is a good idea.
40:27
Speaker 1: And I couldn't be happier about this.
40:29
Speaker 2: I thought you'd get half a chub over this, scientist.
40:34
Speaker 1: I'm not sure you can say that.
40:35
Speaker 2: Can I crap? Sorry?
40:37
Speaker 1: Can you get when when we look at the bars
40:39
Speaker 1: on the ev on the battery.
40:42
Speaker 2: Yes, that's what I meant. Yeah, yeah, thank you for
40:45
Speaker 2: getting me out of that hole.
40:47
Speaker 1: So quite often, so many things, so many things.
40:50
Speaker 2: Do Remember when you had your first car, people would
40:52
Speaker 2: say to you, you know, if you accelerate really fast,
40:55
Speaker 2: it blows all the carb and crap out of the car,
40:58
Speaker 2: and it's better for your car to do that. And
41:00
Speaker 2: that was a great excuse to accelerate quickly and your
41:03
Speaker 2: you know, fourteen hundred mes to eight oh eight. Well
41:08
Speaker 2: they're now saying that electric cars actually can benefit from
41:11
Speaker 2: rapid acceleration. So it's supposed to be good for the
41:16
Speaker 2: electric battery because it's called dynamic cycling, and it just
41:20
Speaker 2: means you put it under real load for a very
41:22
Speaker 2: short amount of time in rapid acceleration, and it's now
41:25
Speaker 2: thought that it's actually better for the battery to do that,
41:28
Speaker 2: So there is actual science behind it. The findings found
41:32
Speaker 2: that the battery health responds to what they call low
41:35
Speaker 2: frequency pulses and then higher peak currents rather than just
41:39
Speaker 2: stained draw So when you you know, when a battery
41:43
Speaker 2: gets used, generally it's under a sustained load, but by
41:46
Speaker 2: increasing and decreasing that those bursts of power then like
41:50
Speaker 2: can stop and go traffic will actually help and so
41:53
Speaker 2: research has gone into that. So I mean, we're not
41:55
Speaker 2: encouraging you to go over the speed limit, but getting
41:58
Speaker 2: there quickly and fun is always good, isn't it. Craig, Well,
42:01
Speaker 2: my car.
42:02
Speaker 1: Is electric and petrol like yours. It's a hybrid. So
42:05
Speaker 1: I mean, if I've got to take one for the
42:08
Speaker 1: team and scretch away from the lights for the good
42:11
Speaker 1: of the environment and the world and humanity, I will
42:15
Speaker 1: do it. Now, what has come to our attention this
42:19
Speaker 1: week has been all the data breach with Quantis, and
42:25
Speaker 1: I know in your cyber security section here we're talking
42:29
Speaker 1: about how we need to be aware of cyber criminals.
42:33
Speaker 2: Yeah. Look, I didn't want to go into all the
42:35
Speaker 2: detail because there's so much in the media about what's
42:38
Speaker 2: going on with the Quantus thing, and it's evolving every minute,
42:40
Speaker 2: you know, every day we're hearing new details and statistics.
42:43
Speaker 2: It was six million initially, and that's five point seven
42:46
Speaker 2: million people whose data basically frequent flyers data's out there.
42:50
Speaker 2: But I was reading a really interesting article that talked
42:52
Speaker 2: about what ald accounts mean for your online privacy in
42:57
Speaker 2: online safety because you know, when you think of it,
43:00
Speaker 2: every time you've signed up to buy some groceries, or
43:03
Speaker 2: you've maybe downloaded a mobile game, a fitness app, anything
43:08
Speaker 2: that you've done online over all the decades that we've
43:11
Speaker 2: been online, that could still be sitting there somewhere on
43:14
Speaker 2: a server with your information. And it could be your name,
43:16
Speaker 2: it could be your phone number, your address, that points
43:20
Speaker 2: those points of reference data that those points of information
43:24
Speaker 2: are what makes your self fulnderable online because it's identity
43:28
Speaker 2: theft effectively, if they know your address, know your phone number,
43:31
Speaker 2: know all those points of reference that you give willingly
43:35
Speaker 2: and handover, and it could even be a credit card
43:37
Speaker 2: information then potentially because it's sitting out there and it's
43:41
Speaker 2: thought that the average person is about one hundred and
43:43
Speaker 2: seventy passwords, but they're all out there and people reuse
43:46
Speaker 2: them as well. So this article was really good because
43:49
Speaker 2: it talked about why old accounts can be such a
43:52
Speaker 2: big security risk and then the methods that you can
43:56
Speaker 2: go through to try to get rid of them. So
43:58
Speaker 2: one of the things you can do, who is just
44:00
Speaker 2: think about all the old accounts you've got, go in
44:03
Speaker 2: there and delete them if you've not used them. For
44:05
Speaker 2: more than twelve months, then it's probably not idea for
44:07
Speaker 2: to have them there. And then I thought, well, who's
44:10
Speaker 2: going to remember all of those? And so what you
44:13
Speaker 2: can do is you can actually do search in your
44:16
Speaker 2: email for things like welcome to you know, after you've joined,
44:21
Speaker 2: you know, you get that email welcome to you, Craig
44:25
Speaker 2: Harper role with the Punches Club, so that sort of stuff,
44:30
Speaker 2: and you think it's an unsubscribe from that crap, the
44:34
Speaker 2: Craig Halper part, not the role of the Punches yet.
44:37
Speaker 2: But so there's ways you can go about looking for
44:40
Speaker 2: old accounts and then deleting them. And if you can't
44:43
Speaker 2: delete them, because some make it really hard to do that,
44:46
Speaker 2: go into the credit card info and delete the credit card,
44:49
Speaker 2: try or change the information so it's not your information.
44:53
Speaker 2: So if you're finding that you've got a site that
44:56
Speaker 2: you've gone to and they're just refusing to delete it,
44:58
Speaker 2: then just change it to some something else and it's
45:01
Speaker 2: not something that you you know, you're not going to
45:03
Speaker 2: spend the next twenty four hours doing it, but every
45:06
Speaker 2: now and again just jump and jump on and check
45:09
Speaker 2: and just see if there's an old account that you
45:11
Speaker 2: don't need any more, uninstall the app, delete your information.
45:14
Speaker 1: You know what if there's probably some cyber criminals somewhere
45:18
Speaker 1: on the planet right now tracking your blood sugar.
45:22
Speaker 2: Hey, what's your blood sugar at the moment?
45:23
Speaker 1: Tip Well been dying to tell you.
45:25
Speaker 3: Guys we've dropped down of three point five.
45:28
Speaker 2: Well, that's a bit of a worry.
45:30
Speaker 1: Quick, don't get yourself a muffin quick, hurry the fuck up,
45:33
Speaker 1: go to the pantry. I told wanted this to make
45:37
Speaker 1: me eat less.
45:37
Speaker 2: You were not more.
45:40
Speaker 1: I don't know that. I don't know that that thing's
45:42
Speaker 1: a good thing for you. I think that's just going
45:44
Speaker 1: to create a new level of anxiety that you can't.
45:47
Speaker 3: Get one of those pistachio quick, give you a jake
45:51
Speaker 3: the road, you give you that would be nice because
45:54
Speaker 3: that would get your blood sugar up, wouldn't it.
45:55
Speaker 2: What a fresh date? What I like? Its stick good.
46:00
Speaker 2: It's just rather than a jelly baby something that's great.
46:03
Speaker 3: Fresh dates with homemade almond butter.
46:08
Speaker 2: You know what, tiff, I had to go to a
46:11
Speaker 2: dinner recently, and so I thought it'd make a vegan dessert.
46:14
Speaker 2: And you know what it was. You get fresh dates,
46:16
Speaker 2: you cut all the pips out and then you flatten
46:18
Speaker 2: them in a tray, cover them with crunchy peanut butter,
46:22
Speaker 2: then hot dark chocolate, you melt the dart, then you
46:26
Speaker 2: put coconut sprinkles and fresh raspberries, and then when the
46:31
Speaker 2: best slice ever?
46:33
Speaker 1: Next time I speaking of diabetes harps and.
46:35
Speaker 3: I come to the land, can you make that from Yes? Absolutely,
46:40
Speaker 3: perps in that virtual headset. Yeah, it's really fun.
46:47
Speaker 1: That would be that would give me a heart attack. Patrick,
46:51
Speaker 1: before we move on from cybersecurity, tell me how hackers
46:56
Speaker 1: can attack my phone via earbuds and how this.
47:01
Speaker 2: Is really worrying, isn't it. So some of the formats
47:03
Speaker 2: that are used with bluetooth connectivity from your headphones to
47:07
Speaker 2: your phone, evidently now it's thought that your earbuds could
47:12
Speaker 2: be more vulnerable.
47:13
Speaker 1: Yeah.
47:14
Speaker 2: Yeah, he's holding his headphones in front of us. Again
47:16
Speaker 2: a visual reference on an audio podcast, Nice one, gravit.
47:19
Speaker 1: Now that's been audio referenced because you translated for the listener.
47:23
Speaker 1: Thank you. But use I use Bluetooth headphones all day,
47:28
Speaker 1: like when I'm out in the Yeah.
47:31
Speaker 2: Yeah, so there are some vulnerabilities, it's thought in bluetooth hardware,
47:35
Speaker 2: and so researchers are trying to think of okay, like
47:38
Speaker 2: they're doing a proof of concept exploit, but they're thinking
47:42
Speaker 2: that not only could you get into the phone, and
47:45
Speaker 2: they're saying it could be quite a severe risk. But
47:48
Speaker 2: it's more than just monitoring what you're doing. So if
47:50
Speaker 2: you're having a phone call with Tiff using your headphones,
47:54
Speaker 2: then potentially someone could be listening in by hacking the
47:57
Speaker 2: Bluetooth connection. But they're saying that it could all so
48:00
Speaker 2: exploit and hack into your device via the Bluetooth connection
48:05
Speaker 2: as well. I know, it's a bit of a worry,
48:07
Speaker 2: isn't it. This was an article that was on a
48:11
Speaker 2: website called Bleeping Computer, and they reported that basically speaker
48:17
Speaker 2: microphone hardwareby used by about twenty nine devices and potentially
48:21
Speaker 2: lots more. And we're talking all the big brands, you know, Bo's, Sony, Jabra, Marshall, JBL.
48:27
Speaker 2: All of those are using a consistent model. It makes sense,
48:31
Speaker 2: it's got to be compatible. So there's a thought that
48:34
Speaker 2: you know, this potentially could open up. I mean, I
48:37
Speaker 2: guess you've got to be in close proximity to somebody
48:40
Speaker 2: who's trying to hack you. But that's the thing. If
48:42
Speaker 2: you're walking through an airport. You know, if you happen
48:44
Speaker 2: to be in a public place, is there a protection
48:49
Speaker 2: against it? Well not yet that.
48:51
Speaker 3: It's violence and coercive control. Yep.
48:53
Speaker 2: Yeah.
48:54
Speaker 1: I hope they don't learn how to hack defibrillators and
49:01
Speaker 1: pacemakers because the crab could be in trouble. Y imagine
49:07
Speaker 1: if somebody could just like jump in and turn his
49:10
Speaker 1: heart rate up to one hundred and thirty, Like it's
49:14
Speaker 1: do you know what I mean? That's I reckon that's
49:17
Speaker 1: possible because it's all tracked. I mean, it's linked. Like
49:21
Speaker 1: if his heart rate goes into a weird rhythm, he
49:24
Speaker 1: gets a phone call like they know. Yeah, that's that's
49:29
Speaker 1: a little bit scary.
49:30
Speaker 3: All right.
49:31
Speaker 1: Before we focus on the Crab's demise, which we probably shouldn't,
49:35
Speaker 1: I want to jump around a little bit, Patrick, because
49:37
Speaker 1: this is the intersection of my work and your work.
49:41
Speaker 1: So what happens to my brain when we'll come back
49:44
Speaker 1: to a few more, But what happens to my brain
49:46
Speaker 1: when I watch videos online at faster speeds than normal, which,
49:51
Speaker 1: by the way, Tiff does this constantly. Tiff never watches
49:54
Speaker 1: anything in real time. So what happens when I watch
49:58
Speaker 1: things at one point five or two.
50:00
Speaker 2: Well, the problem is recall. So what happens is linguistically,
50:04
Speaker 2: when you read something, your brain has to convert it
50:07
Speaker 2: into information that it can then take in, and that
50:11
Speaker 2: can only be done at a certain speeds. So if
50:13
Speaker 2: you're listening at a higher speed rate, whether it's an
50:16
Speaker 2: audiobook or watching a video. And the other thing is
50:19
Speaker 2: that lots of students do this. Students that are studying remotely,
50:22
Speaker 2: who don't go go to courses, they will watch a
50:25
Speaker 2: playback of a conference or a lecture in faster speed
50:29
Speaker 2: to get through it quicker. But you could be doing
50:30
Speaker 2: yourself a disservice because what it potentially means, and this
50:34
Speaker 2: is some research, up to eighty nine percent of students
50:38
Speaker 2: in California that were researched said that they did watch
50:42
Speaker 2: all of the replays on a faster speed eighty nine percent.
50:47
Speaker 2: So the problem is we hear something, we take it in,
50:51
Speaker 2: our brain listens to it, it absorbs the information and
50:55
Speaker 2: then effectively writes it to our mental hard drive. But
50:58
Speaker 2: when you speed it up, it's not able to do
51:01
Speaker 2: that process as effectively. So you may be doing yourself
51:05
Speaker 2: a disservice. You might save yourself half an hour, but
51:07
Speaker 2: you might need another half hour to do more research
51:10
Speaker 2: to remember the stuff that you didn't hear the first time.
51:13
Speaker 1: That makes that makes total sense.
51:14
Speaker 2: Its face looks like a prune now, like she's really
51:17
Speaker 2: scrunching it up.
51:19
Speaker 1: She's listened to a lot of shit but learned nothing.
51:22
Speaker 3: Whole This is my whole life, my whole life.
51:25
Speaker 1: Hey, listeners, Patrick sends me a list of what we're
51:29
Speaker 1: going to talk about, and just these dot points. Listen
51:33
Speaker 1: to this dot point and as if anyone in the
51:36
Speaker 1: world could have written this dot point except yours. Truly
51:41
Speaker 1: laser engraved ceramics storage device that stores data for five
51:45
Speaker 1: thousand years targets astounding one thousand peter bytes per rack
51:50
Speaker 1: by twenty thirty ten x performance boost at one hundred
51:53
Speaker 1: thousand peter bytes per rack. Also on surbates roadmap, What
51:59
Speaker 1: the fuck does that mean? What does that even mean?
52:04
Speaker 1: You don't read I don't even understand the what does
52:07
Speaker 1: that mean?
52:08
Speaker 2: Okay, So there's a new way, there's a startup in Germany.
52:12
Speaker 1: Okay, So why didn't you put that?
52:14
Speaker 2: I don't know. It might have been a copy and
52:18
Speaker 2: paste by the seventeen year old who works for me
52:22
Speaker 2: because I ran out of time. So they're using laser
52:27
Speaker 2: engraving onto ceramic and this and this is a revolution.
52:31
Speaker 2: This is a startup company in Germany. But we're talking
52:34
Speaker 2: about not like ten times. The performance and the storage
52:40
Speaker 2: is just out of sight. When you start talking about
52:42
Speaker 2: things like petabytes and the amount of storage. It's like
52:45
Speaker 2: all of the world's data stored on you know, a
52:47
Speaker 2: ceramic chip. It's just a new way of storing data
52:51
Speaker 2: but also being able to retrieve it really quickly and
52:54
Speaker 2: making it more secure and long lasting. Because do you
52:57
Speaker 2: remember when CDs came out and everyone was backing up
53:00
Speaker 2: everything onto CD. A friend of mine who you've met,
53:04
Speaker 2: my friends that live in Hampton, My mate Michael lived
53:07
Speaker 2: in the lived in worked in the film industry, and
53:10
Speaker 2: one of his colleagues had saved all of the They
53:13
Speaker 2: backed up everything onto CD and then they found out
53:17
Speaker 2: that CDs don't last and what happens. Data eventually got
53:21
Speaker 2: corrupted and they lost all of this information. So effective
53:24
Speaker 2: ways to store stuff, because there are still data centers.
53:29
Speaker 2: The hierarchy of data storage is if it's data that
53:33
Speaker 2: is instantly retrievable, stuff that you need to get access
53:37
Speaker 2: too quickly. Then they use you know, solid state drives
53:41
Speaker 2: so SSDs. Stuff that tends to be not used as
53:44
Speaker 2: much can sometimes be saved on traditional hard drives, and
53:48
Speaker 2: some of it are still used on tape drives, like
53:50
Speaker 2: the old you know, you remember tape drive. So if
53:53
Speaker 2: it's data that it's not as necessary, but he's still
53:56
Speaker 2: want to retain it. That means the retrieval can be
53:59
Speaker 2: a lot slow getting that data because it's stored in
54:02
Speaker 2: an old system. So the future of data storage and
54:05
Speaker 2: you don't need to know what peta bytes and all
54:07
Speaker 2: that sort of stuff are. But the reason, the reason
54:09
Speaker 2: this is so exciting that their laser engraving ceramics is
54:13
Speaker 2: that it will last for five thousand years.
54:19
Speaker 1: Better at night. All right, last one? If you can
54:22
Speaker 1: do the last one in.
54:23
Speaker 2: Two minutes, man, okay, two minutes, you can make a
54:29
Speaker 2: story sound even more boring.
54:31
Speaker 1: I'm giving you an opportunity to finish on a high. Right,
54:34
Speaker 1: you've been very good today. You just stumbled at the
54:37
Speaker 1: finish line. A phone that's not a phone to help
54:41
Speaker 1: you stop using your phone, I'm actually curious about that.
54:45
Speaker 2: Yeah, well, I included a picture for you, Crago. Can
54:47
Speaker 2: you describe the picture that you are seeing in the article,
54:50
Speaker 2: so that you could actually explain to people what you're seeing.
54:53
Speaker 1: Oh right, hang on, I've got a scroll because I'm
54:55
Speaker 1: looking at the cheap notes.
54:57
Speaker 2: Oh I didn't actually look at the picture. I put
54:59
Speaker 2: that deliberately so you could see it.
55:02
Speaker 1: Are there we go? Right, Yeah, it just looks like
55:08
Speaker 1: a slab of glass the size of a phone.
55:11
Speaker 2: Yeah, so it's exactly the shape. So it's a piece
55:14
Speaker 2: of acrylic. It's called a metha phone, and I don't
55:17
Speaker 2: know if that's a take on the word meth. I'm
55:19
Speaker 2: not sure. But it's supposed to help people who have
55:21
Speaker 2: phone addiction because what they find, Ah, people sit there
55:26
Speaker 2: holding their phone, and by replacing the normal phone with
55:31
Speaker 2: this just slab of effectively plastic that's in the shape
55:35
Speaker 2: of a phone, you can fiddle around with it but
55:38
Speaker 2: not have you know, not actually look at sms's and
55:42
Speaker 2: not be distracted by what's happening on a real phone.
55:44
Speaker 2: So it will help people who have phone addiction, of
55:47
Speaker 2: people who struggle because they're constantly looking at their phone.
55:52
Speaker 2: They found if you use a slab of plastic effectively
55:55
Speaker 2: in the same shape as a phone, that It can
55:57
Speaker 2: calm people down who get anxious because they feel they
56:01
Speaker 2: need to have their phone with them. So it takes
56:04
Speaker 2: care of that part of the brain that's kind of
56:06
Speaker 2: holding onto the phone, and it reassures them and they
56:08
Speaker 2: don't get the same sort of anxiety by not having
56:11
Speaker 2: their phone.
56:12
Speaker 1: You know, this reminds me. That makes sense by the
56:14
Speaker 1: way that tactile familiarity. But a friend of mine who
56:21
Speaker 1: gave up smoking, who was a big smoker, always had
56:24
Speaker 1: a pen in these fingers between his fingers where a
56:27
Speaker 1: cigarette would have been, and he would often put the
56:29
Speaker 1: pen up into his mouth as if he was taking
56:32
Speaker 1: a drag, and he knew what he was doing, and
56:36
Speaker 1: he's like, it makes me feel better, like having this
56:39
Speaker 1: pen between my fingers. It's like it was, yeah, therapeutic
56:45
Speaker 1: and medicating for him. So that makes complete sense. Patrick.
56:49
Speaker 1: Where can people join the Patrick Club?
56:52
Speaker 2: Oh, let's just go to websitesnow dot com today you
56:55
Speaker 2: if they want to find out what I do, have
56:58
Speaker 2: a chat talk about websites marketing and stuff like that.
57:01
Speaker 2: Or they can go to taichi at home if they
57:03
Speaker 2: just want to do some tai chi exercises with me.
57:06
Speaker 2: Has that well gidea up.
57:07
Speaker 1: Gidea up, Tiffany and cook look after your blood pressure,
57:11
Speaker 1: Go and get yourself a chocolate muffin. Patrick James Bonilla.
57:14
Speaker 2: What's the reading? Sorry, sorry, Craigo, I had to interrupt.
57:17
Speaker 2: What tiff what's your bloods of the.
57:18
Speaker 3: Level three point seven? I've got the red red low
57:21
Speaker 3: glucose sign coming up?
57:23
Speaker 1: It was Brain's ready to go offline?
57:27
Speaker 3: Yeah, yeah, it already is. It's already checked out.
57:29
Speaker 2: It's at the cookie shop, but waiting for me? Did
57:32
Speaker 2: she read my wallet? She hasn't spoken for the last
57:34
Speaker 2: twenty minutes, if you noticed that, Craigan.
57:36
Speaker 1: No, and she's just been dribbling on her keyboard like
57:38
Speaker 1: a fucking Golden Retriever waiting for lunch.
57:42
Speaker 2: Nice one, all right, thanks team,