Latest / The You Project / #2077 Back On Deck - Patrick Bonello

Transcript

#2077 Back On Deck - Patrick Bonello · The You Project

• 0:00
  Speaker 1: I get a team. It's Harps and Patrick, it's you project.
• 0:02
  Speaker 1: For the first time in twenty twenty six, we're back.
• 0:07
  Speaker 1: And to those of you who are thinking to yourselves self,
• 0:11
  Speaker 1: where is the answer to my question that Harps asked
• 0:14
  Speaker 1: me to write in the group, It's coming. I apologize.
• 0:18
  Speaker 1: I said, I'm going to do a Q and a
• 0:21
  Speaker 1: pod or two, which I'm doing. I've started. I just
• 0:25
  Speaker 1: got a bit caught up in things, as is my way,
• 0:27
  Speaker 1: a little bit of Ron and Mary business, and so
• 0:31
  Speaker 1: the time that I put aside to record that episode
• 0:35
  Speaker 1: or two selfishly got taken up by Ron and Mary.
• 0:39
  Speaker 1: So blame them, get mad at them them. It could
• 0:42
  Speaker 1: never be me. Patrick. James Bonello joins me, as he
• 0:46
  Speaker 1: does on a regular basis. Happy New Year Champion.
• 0:49
  Speaker 2: Hey, it's great. This is exciting for me. I don't
• 0:50
  Speaker 2: think I've done the very first episode of a New
• 0:53
  Speaker 2: Year before because we've been doing this about three years.
• 0:56
  Speaker 1: We've been doing it for a while, and you are
• 0:57
  Speaker 1: very much part of the furniture here typ studio, the
• 1:01
  Speaker 1: human furniture that is you. So we're recording this on
• 1:05
  Speaker 1: the third, Satdy. The third will be out on Monday
• 1:09
  Speaker 1: the fifth. Yeah, what have you been doing?
• 1:11
  Speaker 2: Well? Right the second of being licked?
• 1:14
  Speaker 1: Wow? Yeah, And to that young man in front of you,
• 1:19
  Speaker 1: if you could go and make Patrick some breakfast? Oh really, Well,
• 1:25
  Speaker 1: you opened the door, you started.
• 1:27
  Speaker 2: It, but no you asked me how I've been what
• 1:29
  Speaker 2: I'm doing, and I'm being licked, literally being licked by
• 1:32
  Speaker 2: my dog. So look, it was a bit of a
• 1:34
  Speaker 2: traumatic day yesterday because Fritzy apparently when we went out
• 1:39
  Speaker 2: running at the park, he ran into something and it
• 1:43
  Speaker 2: sliced a gash into his chest, but I didn't notice.
• 1:46
  Speaker 2: He was fine. And then when he was at home
• 1:49
  Speaker 2: he started licking incessantly and I rolled him over and
• 1:52
  Speaker 2: he whimpered and there was a visible hole in his chest,
• 1:56
  Speaker 2: and I panicked and rushed him to the veton. So
• 2:00
  Speaker 2: we had a very difficult night trying to get him
• 2:02
  Speaker 2: to stop lick at himself. You know, ordinarily I would
• 2:05
  Speaker 2: encourage that because it's I'm jealous, but in this instance, so.
• 2:10
  Speaker 1: That's twice in one minute. You don't need to go for.
• 2:12
  Speaker 2: Me, one for you. That's one age. Now we can
• 2:14
  Speaker 2: get off that topic. So he's here next to me
• 2:18
  Speaker 2: in my little broadcast area, and I'm trying to get
• 2:21
  Speaker 2: him not to lick his wound. He's little wounds, He's
• 2:25
  Speaker 2: got medication and I've been bathing it in saline solution,
• 2:28
  Speaker 2: doing all the right things.
• 2:30
  Speaker 1: Nurse Patrick, Well, let's send our healing vibes a little
• 2:34
  Speaker 1: Fritzi and hope that he gets better quick and for Ittz,
• 2:37
  Speaker 1: stop licking your fucking wounds. Uncle harps here, stop licking
• 2:41
  Speaker 1: yourself in that area, and when the wound's better, then
• 2:44
  Speaker 1: you can return to business as usual with the other
• 2:46
  Speaker 1: leaking area, as trained by Dad. But yeah, what did
• 2:51
  Speaker 1: you what did you do for Christmas? You don't drink?
• 2:54
  Speaker 2: Right?
• 2:54
  Speaker 1: Do you ever drink booze? Very?
• 2:56
  Speaker 2: Very occasionally? I might have one little drink, you know,
• 2:59
  Speaker 2: have a Guinness renown again, it's a little pub that
• 3:01
  Speaker 2: I go to, and Fritz and I both go to actually,
• 3:04
  Speaker 2: and we sit in the front bar and I have
• 3:06
  Speaker 2: a Guinness. But that's maybe once a month. I think
• 3:08
  Speaker 2: I would have a drink.
• 3:09
  Speaker 1: I shouldn't know this, well maybe I shouldn't, but I
• 3:12
  Speaker 1: know beer is made from hops and shiit. What is
• 3:15
  Speaker 1: guinness made from? Do you know?
• 3:16
  Speaker 2: Probably the same thing? I reckon. It's supposed to have
• 3:20
  Speaker 2: lots of vitamin B in it, you know, it's that black,
• 3:22
  Speaker 2: dark color. And in Ireland they used to give it
• 3:25
  Speaker 2: to pregnant women after they had their babies because it
• 3:28
  Speaker 2: was restorative to their health and well being.
• 3:31
  Speaker 1: Let's ask to please ask, let's ask chat jp T.
• 3:37
  Speaker 2: All right, So in the meantime, this is not.
• 3:40
  Speaker 1: No, no, no, We're going to We're going to We're going
• 3:43
  Speaker 1: to chat to it. Ah, hey chat jp tea. What
• 3:47
  Speaker 1: is guinness made from?
• 3:50
  Speaker 3: Of course, guinness is me from four key ingredients. Water
• 3:53
  Speaker 3: malted barley, some of which is roasted to give it
• 3:56
  Speaker 3: that dark color, Hops for bitterness and flavor, and he
• 3:59
  Speaker 3: used for fermentation. It's the roasted barley that gives it
• 4:01
  Speaker 3: that signature, deep flavor and dark color.
• 4:04
  Speaker 1: How does it differ from beer?
• 4:08
  Speaker 3: A great question. So guinness is indeed a tape of beer,
• 4:12
  Speaker 3: but it's a stout, which is a darker, richer and
• 4:14
  Speaker 3: often creamier style compared to a lighter lagger or ale.
• 4:18
  Speaker 3: It has roasted barley, giving it more of a coffee
• 4:20
  Speaker 3: or chocolate note, and that creamy head comes from the
• 4:23
  Speaker 3: natridgen using the poor So it's just a specific delicious
• 4:26
  Speaker 3: category within the big world of beer.
• 4:29
  Speaker 2: Well, what the hell am I you for?
• 4:31
  Speaker 1: Yeah? You know what I love about chat GPT is
• 4:34
  Speaker 1: it can answer your questions but also make you feel
• 4:37
  Speaker 1: good by telling you what a great question you asked.
• 4:40
  Speaker 1: It can also it can build your self esteem while
• 4:43
  Speaker 1: educating you.
• 4:44
  Speaker 2: Yeah, and you know what make you dumber?
• 4:48
  Speaker 1: Why? I just learned something.
• 4:50
  Speaker 2: No, no, it's making you dumber. Okay, explain how an
• 4:54
  Speaker 2: article in the BBC I was reading just recently.
• 4:57
  Speaker 1: So this is not your thought. This is some one
• 5:00
  Speaker 1: else has thought.
• 5:01
  Speaker 2: Yeah, because this is research that's been done by the
• 5:03
  Speaker 2: Massachusetts So you're.
• 5:04
  Speaker 1: Doing exactly what I just did. You're outsourcing your knowledge.
• 5:08
  Speaker 2: No, you asked chat gbt did all the work for you.
• 5:11
  Speaker 2: I had to research this, go through and read an
• 5:13
  Speaker 2: entire article. You just asked the stupid AI chatbot.
• 5:16
  Speaker 1: Well, my way is just way more efficient. You're still out.
• 5:20
  Speaker 1: You're still going somewhere to get the answer. I went somewhere.
• 5:23
  Speaker 1: That's much quicker.
• 5:24
  Speaker 2: Yeah. Well, MIT published a study showing used chat GPT
• 5:29
  Speaker 2: to write essays showed less activity in the brain networks
• 5:33
  Speaker 2: associated with cognitive processing while undertaking that particular exercise. So
• 5:39
  Speaker 2: the more that we rely on AI, the less No.
• 5:41
  Speaker 1: No, no, stop stop stop. Stop. You just said people
• 5:45
  Speaker 1: who write essays. That's a very specific thing, which is
• 5:49
  Speaker 1: not what I am doing. So you can't extrapolate and
• 5:53
  Speaker 1: generalize on one thing. So what you do is you
• 5:56
  Speaker 1: take you take a grain of sand and go. Let
• 5:58
  Speaker 1: me tell you about the each right used in the
• 6:02
  Speaker 1: way that we do, which is, hey, we don't know something,
• 6:05
  Speaker 1: tell us what this is? Now we know? How is
• 6:08
  Speaker 1: that bad?
• 6:09
  Speaker 2: Well? One of the things is that by reading, do
• 6:14
  Speaker 2: you ever get anything wrong?
• 6:15
  Speaker 1: Come on, do you ever go are you ever going
• 6:18
  Speaker 1: to go on this show? Actually, Craig, that's a good point.
• 6:20
  Speaker 2: Can I give you a quote from the BBC?
• 6:22
  Speaker 1: And so not your quote, someone else's quote.
• 6:26
  Speaker 2: AI makes it too easy to find answers. Okay. So
• 6:31
  Speaker 2: a Carnegie mailon University in Microsoft, which I operates Copilot,
• 6:35
  Speaker 2: found people's problem solving skills could diminish if they become
• 6:40
  Speaker 2: too reliant on aim.
• 6:43
  Speaker 1: According to them, according to the research, why when you
• 6:48
  Speaker 1: read something, do you go, oh, well, now, that's what
• 6:50
  Speaker 1: I think?
• 6:50
  Speaker 2: No, I think that when you're reading an article, you're
• 6:53
  Speaker 2: spending more time on it and taking more in. You're
• 6:55
  Speaker 2: thinking through the process, reading the paragraphs, taking that information in.
• 6:59
  Speaker 2: We're when you're asking an AI, it's just doing the
• 7:03
  Speaker 2: summary for you. Everything's been done for you at least.
• 7:06
  Speaker 1: It isn't the point of both of them to find
• 7:08
  Speaker 1: out the answer to a question.
• 7:09
  Speaker 2: Sure, yeah it is, But the other thing is the
• 7:12
  Speaker 2: And this is what we kind of I mean, I guess.
• 7:14
  Speaker 2: AI summaries is one of the big things that came
• 7:16
  Speaker 2: out of twenty twenty five where first time ever Google
• 7:21
  Speaker 2: and look, most of us do use Google for our
• 7:24
  Speaker 2: online searching, and now when you do a search, it
• 7:28
  Speaker 2: means that you get this AI overview. And this is
• 7:31
  Speaker 2: a concern for websites, people who are writing news articles
• 7:35
  Speaker 2: because what we found is that between sixty and seventy
• 7:39
  Speaker 2: percent of people are now no longer going to the
• 7:41
  Speaker 2: actual website where the content's from. They're just relying on
• 7:44
  Speaker 2: the AI overview information. And the big concern is that
• 7:48
  Speaker 2: sometimes that AI overview is actually wrong. And this is
• 7:52
  Speaker 2: the big concern because people are getting their news from
• 7:55
  Speaker 2: AI and they're reading the summer summary, but they're not
• 7:59
  Speaker 2: delving any deeper into it, and they're relying on that
• 8:02
  Speaker 2: and AI is wrong quite often, it can be wrong,
• 8:06
  Speaker 2: and that could mean critical things for people if they're
• 8:08
  Speaker 2: researching things like you know, with my cancer treatment, should
• 8:13
  Speaker 2: I be doing X, Y Z. And these are specific
• 8:15
  Speaker 2: examples I was reading about where the concerns are that
• 8:18
  Speaker 2: people are relying on it too heavily, and particularly medical
• 8:21
  Speaker 2: advice is something that you know, you want to make
• 8:24
  Speaker 2: sure you're getting that from a legitimate site, which is
• 8:27
  Speaker 2: a medical authority or health government health authority, rather than
• 8:31
  Speaker 2: just relying on an overview. So it is concerning. And look,
• 8:35
  Speaker 2: I love the fact that AI is here and can
• 8:37
  Speaker 2: do some great things. I've got to go to a
• 8:40
  Speaker 2: funeral service next week, and you know, I'm putting together
• 8:44
  Speaker 2: the booklet for the service, and there was a photo,
• 8:48
  Speaker 2: a family photo that my cousin gave to me, and
• 8:52
  Speaker 2: there were two people in the family that weren't in
• 8:54
  Speaker 2: the photo, and so she said, look, can you put
• 8:57
  Speaker 2: those people into the photograph? And I was able to
• 9:00
  Speaker 2: put it together. And the reality of it is, you know,
• 9:02
  Speaker 2: traditionally I would have to have cut out all the
• 9:05
  Speaker 2: people from the photo using traditional photoshop tools, which is
• 9:09
  Speaker 2: quite priceiss and one of the difficult things, not so
• 9:12
  Speaker 2: much for you and I, because we you know, in
• 9:13
  Speaker 2: your case, you've got cropped hair. In my case, I
• 9:16
  Speaker 2: have none, so cutting us out of a photograph is
• 9:19
  Speaker 2: pretty easy. But for somebody who's got lushes long lengths
• 9:22
  Speaker 2: of air, it actually is really difficult to cut the
• 9:24
  Speaker 2: hair out. But now AI allows you to instantly remove
• 9:28
  Speaker 2: backgrounds and then you can layer that, put new people in,
• 9:32
  Speaker 2: arrange them around, take the backgrounds, put the background back
• 9:34
  Speaker 2: in again, and suddenly you've got this family photo. And
• 9:38
  Speaker 2: it was great to be able to use those tools
• 9:40
  Speaker 2: which normally would have taken me ours. So yeah, I
• 9:44
  Speaker 2: use stacks of AI and it's great in some applications.
• 9:49
  Speaker 1: Yeah, I think there are pros and cons for everything.
• 9:52
  Speaker 1: But I think back just quickly to the AI summaries. Yeah, well,
• 9:57
  Speaker 1: I think everybody knows we don't get our health advice
• 9:59
  Speaker 1: from the end to that period, do we. I mean,
• 10:01
  Speaker 1: who's going, I'm not going to a doctor. But hang on,
• 10:04
  Speaker 1: how studio like you can get misinformation and you do everywhere.
• 10:11
  Speaker 1: It's not just AI summaries, it's YouTube, it's Instagram, it's Facebook,
• 10:15
  Speaker 1: it's every fucking post that every person puts up. So
• 10:19
  Speaker 1: I think to go, you know, like, you can go
• 10:22
  Speaker 1: to actual websites and get bullshit because they sell bullshit
• 10:25
  Speaker 1: and promote bullshit, and they've got a vested interest in
• 10:28
  Speaker 1: you buying what they're selling. So I think to assume that,
• 10:33
  Speaker 1: you know, like I agree with you, but I think,
• 10:35
  Speaker 1: but that's just that's you know, everywhere like to be
• 10:39
  Speaker 1: able to if you're going to any website that sells anything,
• 10:46
  Speaker 1: then you're not getting objectivity. You're getting a version of
• 10:49
  Speaker 1: a sales pitch. And most most websites that we go
• 10:54
  Speaker 1: to are commercial, you know, like it's not like it's
• 10:59
  Speaker 1: just this amazing resource that nobody's making money from.
• 11:04
  Speaker 2: I guess the one thing that I was saying before
• 11:06
  Speaker 2: is that like for specific things like medical advice, legal advice,
• 11:11
  Speaker 2: there's certainly are legitimate sites that you can go to.
• 11:13
  Speaker 2: I would go to a government and even if you
• 11:16
  Speaker 2: look at the extension of a website, is that if
• 11:19
  Speaker 2: it's a dot gov, dot au, then you know that
• 11:21
  Speaker 2: it's a government site. You know, if you want a
• 11:24
  Speaker 2: specific weather related information, you go to the Weather Bureau,
• 11:28
  Speaker 2: you know, for information there, or for help to a
• 11:30
  Speaker 2: medical site. So I think it's discerning where you are
• 11:34
  Speaker 2: in relation to the type of information that you're getting.
• 11:37
  Speaker 2: But you're right, that is a difficult thing to kind
• 11:39
  Speaker 2: of discern because there's so much slop out there. That
• 11:41
  Speaker 2: was the word of the year. Remember AI slop was
• 11:44
  Speaker 2: one of the dictionaries, the big Dictionaries word of the year.
• 11:47
  Speaker 2: And if you create a new YouTube account right now,
• 11:51
  Speaker 2: so you've never used YouTube, so you jump on and
• 11:54
  Speaker 2: you create a new account to start using YouTube. From
• 11:57
  Speaker 2: absolute scratch, twenty percent of video is more than twenty
• 12:00
  Speaker 2: percent of videos that you will be shown. You know
• 12:03
  Speaker 2: when you start scrolling through your feed, well, twenty percent
• 12:06
  Speaker 2: more than twenty will be AI slop. There's guaranteed, so
• 12:10
  Speaker 2: you know already one in five will be you know,
• 12:13
  Speaker 2: this generated AI stuff. Do you when you flick through
• 12:18
  Speaker 2: and whether it's X or any of those, do you
• 12:21
  Speaker 2: struggle with that? Do you look at that and think
• 12:22
  Speaker 2: to yourself, am I looking at something that's real? Is
• 12:25
  Speaker 2: this fake? Is that something that's a concern for you?
• 12:28
  Speaker 1: Well, yeah, but I don't worry about it. I don't
• 12:30
  Speaker 1: believe it's like even when you go the government, do
• 12:33
  Speaker 1: you think the government doesn't get shit wrong? Do you
• 12:36
  Speaker 1: think that everything on government websites is like I just
• 12:39
  Speaker 1: think it's not about being negative or I'm not anti
• 12:44
  Speaker 1: government at all. I thank God for the government, we'd
• 12:46
  Speaker 1: be living in fucking whatever, you know, But the government
• 12:49
  Speaker 1: gets stuff wrong, the government gets stuff right. I think
• 12:52
  Speaker 1: the reality like putting aside whatever the medium is or
• 12:57
  Speaker 1: the delivery system, be it Facebook, be at x, be
• 13:00
  Speaker 1: it Instagram, be at a government website. The human experience
• 13:04
  Speaker 1: is we get things wrong. We give Have I ever
• 13:08
  Speaker 1: gotten things wrong every fucking day of my life? Have
• 13:11
  Speaker 1: I ever said things that aren't true every day of
• 13:14
  Speaker 1: my life? Have I ever misled people unintentionally a million times?
• 13:20
  Speaker 1: So I think that we need to go you know, like,
• 13:23
  Speaker 1: if you've got the two one hundred episodes of this show,
• 13:27
  Speaker 1: I would say on every episode, we've said something that
• 13:30
  Speaker 1: was bullshit, if not once, ten times on each episode.
• 13:34
  Speaker 1: So this kind of thing that we have of oh,
• 13:36
  Speaker 1: that's good over there and this is bad over here,
• 13:38
  Speaker 1: I think you've got to turn down the volume on
• 13:41
  Speaker 1: that because to say, oh, and it always with me
• 13:45
  Speaker 1: and I am literally a fucking researcher at a PhD level.
• 13:48
  Speaker 1: I don't like to play that card. But when people
• 13:51
  Speaker 1: go sixty percent of this, really it's not fifty seven,
• 13:55
  Speaker 1: it's not sixty two. I'm not talking about you, by
• 13:57
  Speaker 1: the way, but there are all of these very convenient
• 14:03
  Speaker 1: research kind of numbers that come out. I was talking
• 14:07
  Speaker 1: with somebody the other day about a particular thing in
• 14:12
  Speaker 1: big farm, this particular drug and the efficacy of this drug.
• 14:16
  Speaker 1: And you know when you go through it. I was
• 14:19
  Speaker 1: talking with David Gillespie about treatment for cholesterol, right, And
• 14:26
  Speaker 1: then you start digging and you go, yeah, this is
• 14:28
  Speaker 1: science and it is science, and you can read the
• 14:30
  Speaker 1: report and you can read the paper and you go, fuck,
• 14:33
  Speaker 1: but this is in this journal. This is a Tier one,
• 14:36
  Speaker 1: very credible Q one journal. And then you dig and
• 14:39
  Speaker 1: you dig and you dig and you go, oh, this
• 14:42
  Speaker 1: is financed by big farmer, which it was, and then
• 14:45
  Speaker 1: you go, oh, but it's science. You go no, no,
• 14:48
  Speaker 1: Like people get too hysterical about the validity of science.
• 14:54
  Speaker 1: It's like, you've got to remember this, who designed the study,
• 14:57
  Speaker 1: a human who's financing the study big farmer? Well as
• 15:01
  Speaker 1: if they want you to produce outcomes that make them
• 15:04
  Speaker 1: look bad when they are literally paying your fucking wage, right,
• 15:08
  Speaker 1: so you have and who interpreted the data. Oh, and
• 15:12
  Speaker 1: for this one study we spoke about, they wouldn't reveal
• 15:15
  Speaker 1: the data because the data disproved their theory, their hypothesis.
• 15:21
  Speaker 1: So what they did was they just revealed the interpretation
• 15:24
  Speaker 1: of the scientists of the data, right. But for the
• 15:27
  Speaker 1: average panta, we go, Oh, Craig said this. Craig's smart.
• 15:33
  Speaker 1: So this is how it is. No, Craig's not smart.
• 15:35
  Speaker 1: Craig's a fucking human who gets things wrong all the time.
• 15:38
  Speaker 1: Scientists get things wrong all the time. Over the years,
• 15:42
  Speaker 1: we've constantly been you know, like low fad eating in
• 15:46
  Speaker 1: the early seventies was meant to revolutionize the health state
• 15:50
  Speaker 1: of all First world countries, and in fact, what it's
• 15:53
  Speaker 1: done since the fifties or since the seventies, there's been
• 15:56
  Speaker 1: an increase in obesity and obesity related diseases. Sense the
• 16:00
  Speaker 1: introduction of low fat food because low fat food equaled
• 16:04
  Speaker 1: high sugar food, right, And so which is not to
• 16:07
  Speaker 1: say donat carbs or donat sugar. It's just to say
• 16:10
  Speaker 1: that science is constantly getting it wrong. When the pandemic struck,
• 16:15
  Speaker 1: it was estimated one hundred and fifty thousand Australians would die.
• 16:19
  Speaker 1: It was on the front of the paper, it was
• 16:22
  Speaker 1: on the Herald Sun, and it was on the age
• 16:24
  Speaker 1: and this was this was the estimates by the best
• 16:27
  Speaker 1: scientist virologist, except they got it wildly fucking wrong. Nobody
• 16:31
  Speaker 1: comes out and goes, oh, you know that thing we said,
• 16:34
  Speaker 1: we fucked up right, This is the world that we
• 16:36
  Speaker 1: live in. Politicians tell me a politician who comes out
• 16:39
  Speaker 1: and goes, that thing that we did, we got it wrong.
• 16:42
  Speaker 1: That thing that we said, we got it wrong. So
• 16:44
  Speaker 1: I think, like, for me, I'm I'm not I read
• 16:48
  Speaker 1: everything and I pay attention or everything I can, and
• 16:50
  Speaker 1: I pay attention, but I'm more about let me see
• 16:54
  Speaker 1: the results over time. So rather than going, oh, I
• 16:58
  Speaker 1: read this here and it said that, therefore that's true,
• 17:01
  Speaker 1: I'm like no, or I heard this, therefore that's true.
• 17:04
  Speaker 1: I'm like maybe maybe. And I just think that that
• 17:09
  Speaker 1: assigning a certain value or worth or respect to something
• 17:16
  Speaker 1: just because someone said it to me, I think is
• 17:20
  Speaker 1: actually the opposite of critical thinking. Like I think, like,
• 17:25
  Speaker 1: you're super smart, and I'm not saying that disingenuously. You're
• 17:29
  Speaker 1: super smart, and I think that all of us have
• 17:32
  Speaker 1: the ability to go, all right, this is what they said,
• 17:34
  Speaker 1: but let me And by the way, research is not
• 17:37
  Speaker 1: reading a paper that someone wrote that's not research and
• 17:41
  Speaker 1: watching a video that's not research. Research is actually research,
• 17:46
  Speaker 1: you know, steps down off soapbox. But that's all I think.
• 17:49
  Speaker 1: I just get I get frustrated when people go, oh,
• 17:53
  Speaker 1: you're wrong because I read this here. I'm like, well, fuck, okay,
• 17:57
  Speaker 1: let's see over time.
• 17:58
  Speaker 2: Look. One of the interesting things is I trained to
• 18:00
  Speaker 2: be a journalist. We were told never to believe one source.
• 18:04
  Speaker 2: That you check multiple sources, You interview more than one
• 18:07
  Speaker 2: person on the topic, You get both sides of the story,
• 18:10
  Speaker 2: try to get as much information in so that you
• 18:13
  Speaker 2: could give both sides, you know. And that's where I
• 18:16
  Speaker 2: think a lot of the mainstream media has diverged a lot.
• 18:19
  Speaker 2: If you look at Sky Television for example, and look
• 18:22
  Speaker 2: at some of the extreme more extreme you know, reporting,
• 18:26
  Speaker 2: and there's lots of reasons for that. I think that
• 18:28
  Speaker 2: one of the challenges for journalism now is that, you know,
• 18:33
  Speaker 2: there's less resources going into journalism because people are now
• 18:36
  Speaker 2: using Facebook to disseminate information, people using X to seminate information.
• 18:42
  Speaker 2: So the checks and measures aren't there anymore. There's no editors,
• 18:45
  Speaker 2: there's no sub editors that are deciding that this person
• 18:50
  Speaker 2: who's on X is being vetted in any way. And
• 18:53
  Speaker 2: that's problematic because you know, if you go down that
• 18:56
  Speaker 2: rabbit hole, X will continue to serve up the same stuff.
• 18:59
  Speaker 2: That is, you know, they just want to keep you
• 19:01
  Speaker 2: there as long as you can, whether it's Facebook or X.
• 19:04
  Speaker 2: And that way, the information you're being given, it may
• 19:07
  Speaker 2: not be credible, but it will keep serving it up
• 19:10
  Speaker 2: if you keep clicking on it, and it will try
• 19:12
  Speaker 2: to keep you. So, if your rabbit hole is the
• 19:15
  Speaker 2: Earth is actually legitimately flat, that and I know somebody
• 19:20
  Speaker 2: who has a sibling who dead set believes the world
• 19:24
  Speaker 2: is flat, absolutely black and blue believes the world is flat.
• 19:29
  Speaker 1: And I have a friend who believes the world is flat.
• 19:31
  Speaker 1: And you know this friend. I won't say this person's name,
• 19:34
  Speaker 1: but i'll tell you after. I have a good friend
• 19:37
  Speaker 1: who they are going further and further. They're not one
• 19:41
  Speaker 1: hundred percent, but they're about ninety percent sure the Earth's flat.
• 19:44
  Speaker 1: I'm like, oh, okay, okay, like all right and all that.
• 19:51
  Speaker 1: You know, Yeah, go on, though, but if.
• 19:53
  Speaker 2: You if you then mix with those Facebook groups, if
• 19:56
  Speaker 2: you if you're a flat earther and then you talk
• 19:59
  Speaker 2: to other flat earth you're going to have that reinforced constantly.
• 20:03
  Speaker 2: But with social media, So I would talk to you
• 20:05
  Speaker 2: you reinforce my mindset. But what happened on social media
• 20:09
  Speaker 2: is it's got an algorithm that's built into it to
• 20:12
  Speaker 2: keep serving that up. So it's not just me catching
• 20:14
  Speaker 2: up with Craig over a beer and you say, yeah,
• 20:16
  Speaker 2: the world is definitely flat and I say, well, Craig
• 20:19
  Speaker 2: reckons it is. So there you go. Now you've got
• 20:22
  Speaker 2: all these voices in the wilderness, and then your algorithm
• 20:26
  Speaker 2: just serves you up that. So if you're far left
• 20:28
  Speaker 2: or far right, then you're going to get more far
• 20:31
  Speaker 2: left or far right information via your social media. Because
• 20:35
  Speaker 2: the big thing to bear in mind with socials is
• 20:38
  Speaker 2: that it's not government vetted, it's not government run. It's
• 20:42
  Speaker 2: run by corporations that just want to make advertising revenue.
• 20:46
  Speaker 2: That's all there about the AI slop we were talking
• 20:49
  Speaker 2: about before on YouTube, so you sign up to get
• 20:52
  Speaker 2: onto YouTube for the first time, twenty percent of videos
• 20:55
  Speaker 2: are going to be AI slop. But last year AI
• 20:59
  Speaker 2: slop general id one hundred and seventeen million dollars US
• 21:03
  Speaker 2: a year in ad revenue. That's why people are generating
• 21:07
  Speaker 2: the crap because they've got money out of.
• 21:09
  Speaker 1: It, of course, but also think you're exactly right but
• 21:12
  Speaker 1: also Patrick James Kevin, Patrick James Bonello think about this.
• 21:17
  Speaker 1: So you go, oh, when I open I start watching
• 21:21
  Speaker 1: fucking you know, videos on how I'm going to heal
• 21:25
  Speaker 1: my exma, and I get all these weird products from
• 21:29
  Speaker 1: the Amazon, and then I keep getting more and more
• 21:31
  Speaker 1: and then this one will heal my fucking whatever. Right,
• 21:34
  Speaker 1: and it's all similar stuff from So it's like, now
• 21:38
  Speaker 1: you're in this echo chamber, but walk away from the
• 21:41
  Speaker 1: virtual world and the Internet. And then you go into
• 21:44
  Speaker 1: a church. What do you hear everybody preaching the same message,
• 21:48
  Speaker 1: telling you the same thing, and if anybody questions that message,
• 21:52
  Speaker 1: you're bad, You're evil, You're going to hell. You go
• 21:54
  Speaker 1: to a synagogue, same except without the Jesus bit, right.
• 21:58
  Speaker 1: You go to a Buddhist temple where, well they're you know,
• 22:02
  Speaker 1: they they don't really have a god per se, they
• 22:05
  Speaker 1: don't have a deity. You go to a Carlton football club, Well,
• 22:09
  Speaker 1: Collingwood fans are fucking idiots, right. It's like the world
• 22:13
  Speaker 1: is full of these echo chambers where you essentially belong
• 22:17
  Speaker 1: to a group, whether or not you chose it, you
• 22:19
  Speaker 1: belong to a group who keeps reinforcing the same message,
• 22:24
  Speaker 1: and if you question the message, then you're somehow penalized.
• 22:29
  Speaker 1: This is how people control and manipulate and coerce and
• 22:32
  Speaker 1: get the outcomes they want. And I grew up very
• 22:35
  Speaker 1: much in an echo chamber of theology and philosophy, where
• 22:39
  Speaker 1: if I questioned anything, I was basically criticized and humiliated
• 22:46
  Speaker 1: and all of these things, and so was everyone, by
• 22:50
  Speaker 1: the way, And that's how you control people. And that's
• 22:53
  Speaker 1: how you manipulate people. Is you go, no, there's only one.
• 22:57
  Speaker 1: It's like when people go to me, what's the best way? Okay,
• 23:00
  Speaker 1: So if I am an expert in anything, it's probably
• 23:02
  Speaker 1: exercise science, what's the best way to achieve this outcome
• 23:05
  Speaker 1: with my body? And I go, well, there actually is
• 23:07
  Speaker 1: an a best way. There's probably one hundred and sixty
• 23:10
  Speaker 1: seven different best ways, depending on your body, your genetics,
• 23:13
  Speaker 1: your background, your medical state, your chronological your biological agent.
• 23:17
  Speaker 1: So the idea that there's a best way, we need
• 23:20
  Speaker 1: to dispense with that. It's like you and the way
• 23:24
  Speaker 1: that you live. So you're a single bloke, you live
• 23:26
  Speaker 1: in the country. You like blokes, right, that's not good
• 23:31
  Speaker 1: or bad. That's how you live. Right, for you, living
• 23:35
  Speaker 1: with your dog, having a great social network, having life
• 23:39
  Speaker 1: and work that for you is meaningful and purposeful. I
• 23:42
  Speaker 1: know you're not driven by money. You need to make
• 23:45
  Speaker 1: money because you've got to pay the bills, but I
• 23:46
  Speaker 1: know that you know for you, you're more about emotional and
• 23:51
  Speaker 1: I guess spiritual and social connection and that's kind of
• 23:54
  Speaker 1: your bank account right now. That's perfect for you. It's
• 23:57
  Speaker 1: going to be the worst model ever for some other bloke. Yeah, right,
• 24:01
  Speaker 1: So we're all trying to find like what is in
• 24:05
  Speaker 1: the middle of the myriad of ways that we can
• 24:08
  Speaker 1: live and think and do and be. Not what's the
• 24:11
  Speaker 1: right way, but what's the best way for me based
• 24:13
  Speaker 1: on who I am. And so it's like I haven't
• 24:17
  Speaker 1: had a job since I was twenty four, Would I
• 24:19
  Speaker 1: recommend that? Definitely? Not if you're a clone of me, yes,
• 24:25
  Speaker 1: But if you're not, which nobody is, will then figure
• 24:28
  Speaker 1: it out for yourself. But what I'll do is I
• 24:30
  Speaker 1: will tell you what I did and how I did
• 24:32
  Speaker 1: it and why I did it, and I'll tell you
• 24:34
  Speaker 1: what my outcomes were. But then, because you're not me,
• 24:37
  Speaker 1: you're going to think for yourself and you're going to
• 24:40
  Speaker 1: maybe try a couple of things and see what the
• 24:42
  Speaker 1: outcome is, and then based on your own data and experience,
• 24:45
  Speaker 1: you'll figure out the best model for you. Craig Harper
• 24:49
  Speaker 1: cannot tell you what is the path for you because
• 24:52
  Speaker 1: I'm not you and you're not me, you know, And
• 24:54
  Speaker 1: I think that's true for everything from how should I eat?
• 24:58
  Speaker 1: To what's the best way for me to learn? What's
• 25:00
  Speaker 1: the best relationship kind of paradigm for me? Is living
• 25:04
  Speaker 1: in the country good for me? I know people have
• 25:07
  Speaker 1: moved to the country to have a kind of a
• 25:09
  Speaker 1: what do they call it a tree change, and they're
• 25:12
  Speaker 1: back in fucking twelve months they go fuck the country
• 25:15
  Speaker 1: and then you go up there, you're like, this is
• 25:17
  Speaker 1: the best shit ever.
• 25:18
  Speaker 2: Yeah, seventeen years.
• 25:21
  Speaker 1: That's it, mate. It's just everyone trying to figure out
• 25:24
  Speaker 1: how they best fit and how they best work. In
• 25:28
  Speaker 1: the middle of all of this overwhelm of you should
• 25:31
  Speaker 1: do this, you should do that, you shouldn't do those things.
• 25:35
  Speaker 2: Yeah, it's interesting. I know people who bought in the
• 25:38
  Speaker 2: town that I live in during COVID they did the
• 25:41
  Speaker 2: tree change, They got out of the Ring of Steel
• 25:43
  Speaker 2: and they did the move and then they moved back
• 25:45
  Speaker 2: to Melbourne. Yeah, they just don't you know. The lifestyle
• 25:49
  Speaker 2: is just not to their liking. They don't have a
• 25:51
  Speaker 2: ray of cafes to go down to and have their
• 25:55
  Speaker 2: avocado on toast.
• 25:57
  Speaker 1: Listen to you, listen to you. But I mean, but
• 26:00
  Speaker 1: that's okay. Yeah, like not everyone. It's like I say
• 26:04
  Speaker 1: to people all the time, don't fucking do what I do,
• 26:07
  Speaker 1: like you would hate it, Like it works for me,
• 26:10
  Speaker 1: And I don't think, oh, Craig's got it right. I
• 26:13
  Speaker 1: look at people who go out and get shit faced
• 26:15
  Speaker 1: and talk all night for seven hours and fucking party
• 26:19
  Speaker 1: on and have the best time, and part of me
• 26:21
  Speaker 1: is a bit jealous. I definitely don't want to do
• 26:23
  Speaker 1: that because I'm not wired that way. But I definitely
• 26:26
  Speaker 1: look at people who do that and have the best
• 26:27
  Speaker 1: time ever and go fuck good for them. That's amazing.
• 26:30
  Speaker 2: That's their idea of a good time. I went to
• 26:32
  Speaker 2: bed at ten o'clock on New Year's Eve. I had
• 26:34
  Speaker 2: some friends over. We played some board games, had a
• 26:37
  Speaker 2: bit of a laugh, listened to some vinyl records. I
• 26:40
  Speaker 2: managed to draw some vinyl records from a neighbor recently,
• 26:44
  Speaker 2: including Elton John's Yellow Brick Road eight, an eight box
• 26:49
  Speaker 2: set of the Beatles, and the record we were listening
• 26:53
  Speaker 2: to was seventies disco music. It was great. So and
• 26:57
  Speaker 2: then I went to bed like just after ten clock.
• 27:00
  Speaker 2: You know, I'm not a New Year's Eve person. Well,
• 27:03
  Speaker 2: I guess you had an early night too, I'm assuming
• 27:05
  Speaker 2: you know.
• 27:05
  Speaker 1: Yeah, yeah, I did fuck all. I did fuck all.
• 27:07
  Speaker 1: I was like, to me, it was Wednesday or Thursday
• 27:10
  Speaker 1: or whatever it was, But that's okay. It's like I
• 27:13
  Speaker 1: was talking with somebody about this, max this morning. In fact,
• 27:16
  Speaker 1: I out of coffee with Maxie shout out to Maxie
• 27:18
  Speaker 1: and yeah, like you mate, you go. I'm well aware
• 27:22
  Speaker 1: that the way that I do things is not the
• 27:24
  Speaker 1: way most people should. And I don't think I'm better
• 27:27
  Speaker 1: or worse or special or I just know that. You know, firstly,
• 27:33
  Speaker 1: I'm an old bloke who lives by himself. Don't fucking
• 27:36
  Speaker 1: do what I do. It's like most people that listen
• 27:39
  Speaker 1: to this show are not a version of me. So
• 27:42
  Speaker 1: that's why, you know, I'm so fascinated with theory of mind,
• 27:45
  Speaker 1: which is understanding other people's mind, understanding how other people think. Like,
• 27:50
  Speaker 1: I'm not even that interested in the Craig experience. I'm
• 27:53
  Speaker 1: more interested in why does Patrick think the way that
• 27:55
  Speaker 1: he has? Why does he do this? And that? Not
• 27:57
  Speaker 1: good or bad? No judgment, just curiosity, just awareness, Like
• 28:01
  Speaker 1: what is it like for our listeners when you and
• 28:04
  Speaker 1: I argue? And I love when we argue, by the way,
• 28:07
  Speaker 1: I'm glad that we don't fucking agree on everything? Right?
• 28:10
  Speaker 2: Like?
• 28:10
  Speaker 1: What's that like for them? I think even when you
• 28:12
  Speaker 1: and I going at it, I think, uh, is this
• 28:15
  Speaker 1: good to listen to? Is this shit to listen to?
• 28:18
  Speaker 1: You know? That other awareness, that kind of that kind
• 28:25
  Speaker 1: of external self awareness it's called as well as metaperception
• 28:29
  Speaker 1: of trying to have an understanding of what something is
• 28:32
  Speaker 1: like for somebody else. You know, for me that's that's
• 28:36
  Speaker 1: a fascination, but for other people understandably, they're like, shut
• 28:40
  Speaker 1: the fuck up, past me a beer.
• 28:43
  Speaker 2: You know, yeah, it's I was actually just thinking in
• 28:46
  Speaker 2: relation to, you know, where we're heading in the future,
• 28:50
  Speaker 2: and how some of us are attracted to the likes
• 28:54
  Speaker 2: of say technology, and other people are resistant to it.
• 28:57
  Speaker 2: And sometimes you can put it into an age Brad.
• 29:00
  Speaker 2: You can say, well, young people have grown up with tech,
• 29:02
  Speaker 2: but I'm not a young person. You know, there weren't
• 29:05
  Speaker 2: computers around when I first went to school, and yet
• 29:08
  Speaker 2: I love tech, you know. And I have people, my peers,
• 29:12
  Speaker 2: who say, oh, I'm technically illiterate. That's your choice to
• 29:15
  Speaker 2: be technically illiterate. But I get it because you're now
• 29:19
  Speaker 2: comfortable with it. You don't like it. But for me,
• 29:22
  Speaker 2: you know, I think I've told this story before, and
• 29:24
  Speaker 2: I know I'm getting off topic a little bit, But
• 29:26
  Speaker 2: when I was a kid, we got our first VHS
• 29:29
  Speaker 2: video recorder. It was an Achi and it cost a
• 29:32
  Speaker 2: real lot of money. Do you remember the story? Yeah?
• 29:34
  Speaker 1: No, I remember though. My old man used to anyway
• 29:38
  Speaker 1: run a store where we sold those Ai vhs.
• 29:42
  Speaker 2: Yeah, they were expensive. They were over one thousand dollars
• 29:45
  Speaker 2: at that time, so we're talking in what the early eighties.
• 29:48
  Speaker 2: You were paying over one thousand dollars. That's a lot
• 29:50
  Speaker 2: of money for a working class family in Coburg. So
• 29:53
  Speaker 2: Dad buys this Achai and it also had things on screen,
• 29:57
  Speaker 2: so the counter was on screen whether we're going forward
• 29:59
  Speaker 2: or backward. It was very high tech at the time.
• 30:02
  Speaker 2: So the first week we had it, Mum and Dad
• 30:04
  Speaker 2: get in the car to go shopping on a Saturday morning.
• 30:06
  Speaker 2: Patrick gets the screwdriver out because I couldn't cope not
• 30:11
  Speaker 2: knowing what was inside and how the mechanism worked. So
• 30:14
  Speaker 2: I'm in the poor sucker and I've got all the
• 30:16
  Speaker 2: screws out, I've got a handful of screws, I've got
• 30:19
  Speaker 2: the cover off, and then Mum and Dad pulled back
• 30:21
  Speaker 2: into the driveway. It's like, fuck, what am I going
• 30:24
  Speaker 2: to do? So I throw the cover back on, put
• 30:26
  Speaker 2: all the screws in the pocket and look guilty as
• 30:28
  Speaker 2: shit when they walk back in, because Mum had left
• 30:30
  Speaker 2: her purse and that's the reason they'd come back so quickly.
• 30:33
  Speaker 2: And of course there's no way they knew what I
• 30:35
  Speaker 2: was doing. I mean, I'd hidden the screwdriver and the bolt,
• 30:39
  Speaker 2: the screws are all in the pocket. But Jesus shited myself.
• 30:41
  Speaker 2: And then anyway, old, how old were you? Maybe thirty one?
• 30:47
  Speaker 2: Probably about thirteen or fourteen, I guess at that time?
• 30:51
  Speaker 1: Did you fuck it up? Or did you successfully reassemble it?
• 30:54
  Speaker 2: Okay? I can tell you that I put it all
• 30:56
  Speaker 2: back together again, but there was one screw left over,
• 30:58
  Speaker 2: but that happens with everything ever taken. And not only
• 31:03
  Speaker 2: did it keep working when I finally moved out of home,
• 31:06
  Speaker 2: like a decade later they gave it to me to
• 31:09
  Speaker 2: take with me because it still worked.
• 31:11
  Speaker 1: It's hilarious. Hey, you tell me about on my little
• 31:16
  Speaker 1: list of things that we haven't covered of yours hiring
• 31:19
  Speaker 1: a robot.
• 31:20
  Speaker 2: Yes, so in China, if you're having a meeting or
• 31:24
  Speaker 2: a wedding, you cannot now hire a robot. So there's
• 31:28
  Speaker 2: a Chinese firm called Aggie Bot and they're humanoid robot rentals.
• 31:34
  Speaker 2: So the price of the rental is dependent on what
• 31:38
  Speaker 2: the robot model is and what you wanted to do.
• 31:41
  Speaker 2: But they're actually entering the economy in a big way.
• 31:44
  Speaker 2: They're not cheap. But basically this has only just happened,
• 31:48
  Speaker 2: so this is going to be new. So for a
• 31:49
  Speaker 2: lot of people, there's sixteen different event duties that they
• 31:53
  Speaker 2: can be deployed for, so weddings, business meetings, concerts, trade shows.
• 31:59
  Speaker 2: The Chinese rental market is fascinating. So rather than buying
• 32:04
  Speaker 2: a robot, you pay about one hundred and thirty eight
• 32:06
  Speaker 2: dollars a day US and you can like, if it's
• 32:11
  Speaker 2: a robot dog, it's going to cost you one hundred
• 32:13
  Speaker 2: and thirty eight bucks. But if you wanted a one
• 32:15
  Speaker 2: of the have you seen the Uni tree U two
• 32:17
  Speaker 2: dancing robots. They're awesome, they look fantastic. That's going to
• 32:21
  Speaker 2: cost you about six hundred and ninety dollars per day. Okay,
• 32:24
  Speaker 2: so wow, This really depends on what you want the
• 32:27
  Speaker 2: robot dog to do or the robot dancer to do.
• 32:30
  Speaker 2: But how interesting is that? I reckon? I would do that? Definitely.
• 32:33
  Speaker 2: I would hire it for a day. I'd try before
• 32:35
  Speaker 2: I buy. That would be a me thing, definitely. But
• 32:38
  Speaker 2: isn't that interesting that it's now become a thing in
• 32:40
  Speaker 2: China that you go and you rent a robot for
• 32:42
  Speaker 2: the day.
• 32:43
  Speaker 1: I would love that. And you know what would be
• 32:45
  Speaker 1: even cooler is once they've got a lot of tech
• 32:47
  Speaker 1: right and they can move around and do stuff and
• 32:50
  Speaker 1: whatever you need them to do, clean or vacuum or
• 32:53
  Speaker 1: chat to you or change the channel or whatever the
• 32:55
  Speaker 1: fuck it is, then they start to build retro models
• 32:58
  Speaker 1: that look like R two, D two and C three po. Yeah,
• 33:01
  Speaker 1: you know.
• 33:02
  Speaker 2: So, Like.
• 33:04
  Speaker 1: I was listening to another podcast and they were talking
• 33:07
  Speaker 1: about this Patrick, you know, humanoid robots, and the guy
• 33:12
  Speaker 1: who is the I forget his name, the boss of
• 33:15
  Speaker 1: in video. He was talking about all the potential he
• 33:20
  Speaker 1: was talking about all the jobs that are going to
• 33:22
  Speaker 1: go away, but all the jobs that will come. And
• 33:24
  Speaker 1: he's like, but well with all the robots. He's like,
• 33:27
  Speaker 1: even think about this. People are going to have personal robots.
• 33:31
  Speaker 1: And he goes, you know what's going to become a market?
• 33:33
  Speaker 1: He goes, clothing for robots. What people dress their robots in? Right,
• 33:39
  Speaker 1: There'll be whole lines of clothing for you to I'm like,
• 33:44
  Speaker 1: I never thought of that, and he's like, I know,
• 33:46
  Speaker 1: that seems crazy, it's absolutely going to happen. Have you
• 33:49
  Speaker 1: seen people dress their dogs? I'm like, well, I've seen
• 33:51
  Speaker 1: Patrick dress his dog. So if people are dressing fucking animals,
• 33:57
  Speaker 1: then people. Yeah. So it's like that. That just fascinating me,
• 34:01
  Speaker 1: the the development and the accelerated kind of rate at
• 34:10
  Speaker 1: which everything is happening. I'll tell you one quick thing,
• 34:13
  Speaker 1: which you'll probably be all over, But so Melissa's gone down.
• 34:16
  Speaker 1: Melissa for those three of you who don't know who
• 34:19
  Speaker 1: Melissa is, runs my life, is my business partner. She's
• 34:23
  Speaker 1: one hundred years younger than me, smarter than me. I'm
• 34:27
  Speaker 1: not even being nice to her and bad to me.
• 34:29
  Speaker 2: She just is.
• 34:30
  Speaker 1: But she's down. The AI rabbit hole At the moment,
• 34:33
  Speaker 1: Patrick building AI agents for our business, and she's trying
• 34:40
  Speaker 1: to explain to me, right, which is like me trying
• 34:44
  Speaker 1: to explain to my mum the functional anatomy of a
• 34:49
  Speaker 1: deadlift or a squat or something. But anyway, so one
• 34:54
  Speaker 1: of the things that she's building is an agent that
• 34:58
  Speaker 1: basically runs the you project from a behind the scenes
• 35:01
  Speaker 1: point of view. So it's currently being trained on the
• 35:06
  Speaker 1: kind of guests that we want the language to use.
• 35:10
  Speaker 1: You know, there's a template to send out, but it
• 35:13
  Speaker 1: personalizes it somewhat and like all of these variables that
• 35:17
  Speaker 1: will basically save us having an employee from doing that thing.
• 35:22
  Speaker 1: And as we've said before, so then you've got this
• 35:26
  Speaker 1: agent or this employee in inverted commas that doesn't get tired,
• 35:31
  Speaker 1: that doesn't get sick, that doesn't need holiday pay, that
• 35:34
  Speaker 1: doesn't you know, have emotional and psychological and relationship issues.
• 35:40
  Speaker 1: So that the stuff that's being developed right now that's
• 35:43
  Speaker 1: going to become commonplace. I don't think we can even
• 35:47
  Speaker 1: even now compared to five years ago.
• 35:49
  Speaker 2: It's crazy, it is, yeah, and it looked at some
• 35:51
  Speaker 2: great useful tools out there, But it also means that
• 35:54
  Speaker 2: there's going to be a lot of people out of
• 35:56
  Speaker 2: work as well. I think did we talk about this
• 35:59
  Speaker 2: earlier that there were fifty thousand jobs lost to right
• 36:04
  Speaker 2: by in the US, I think it's over. It might
• 36:06
  Speaker 2: have been fifty five thousand jobs last year, So twenty
• 36:09
  Speaker 2: twenty five were lost to AI, is what you know.
• 36:13
  Speaker 2: And in some employment research company was put out basically
• 36:19
  Speaker 2: fifty five thousand jobs out. But you know, I was
• 36:22
  Speaker 2: thinking about clothing for robots. So I'm going back a
• 36:24
  Speaker 2: little bit because I do you have your news resolution?
• 36:28
  Speaker 2: I know you spend a lot of time planning the future,
• 36:30
  Speaker 2: and you usually use New Year's Day and you really
• 36:33
  Speaker 2: think through all of that, which I don't normally do.
• 36:37
  Speaker 1: Yeah, I'm less kind of New Year's these days, but yeah,
• 36:41
  Speaker 1: I'm always kind of thinking about and whether or not
• 36:43
  Speaker 1: it's January one or December twenty three or but yeah,
• 36:46
  Speaker 1: I'm always kind of I have yearly, weekly goals, monthly goals,
• 36:50
  Speaker 1: yearly goals, So yeah, I'm because hopefully my PhD is
• 36:55
  Speaker 1: finished in the next month or so, that's the plan anyway,
• 36:57
  Speaker 1: and beyond that they're a goals.
• 36:59
  Speaker 2: So yes, well, no, in about November last year, even
• 37:02
  Speaker 2: before November last year, I was reading a few articles
• 37:05
  Speaker 2: on fast fashion and I thought to myself, I've got
• 37:08
  Speaker 2: so many clothes I don't need to buy any new clothes.
• 37:11
  Speaker 2: So for twenty twenty six, I've decided I'm not going
• 37:13
  Speaker 2: to buy a new item of clothing for the next
• 37:17
  Speaker 2: twelve months. And so I scattered out my local op
• 37:20
  Speaker 2: shop to see if there's anything there that I might
• 37:23
  Speaker 2: want to wear in case I do need a new top.
• 37:26
  Speaker 2: But that's my little pledge to myself, just to stop
• 37:28
  Speaker 2: fast fashion and kind of keep using my current clothing.
• 37:31
  Speaker 2: So yeah, that's that's my little promise to myself not
• 37:35
  Speaker 2: to buy any clothing except for footwear, because of course,
• 37:38
  Speaker 2: you know, particularly if you've got pronate feet, you need
• 37:41
  Speaker 2: to make sure you've got the right footwear. But yeah,
• 37:43
  Speaker 2: that's my little pledge to myself.
• 37:45
  Speaker 1: I hope you've got a lot of jocks in the cupboard.
• 37:47
  Speaker 2: Actually I have a lot of jocks, and I get
• 37:49
  Speaker 2: my jocks from an Australian company that manufactures locally. I
• 37:52
  Speaker 2: think that's really important too.
• 37:54
  Speaker 1: So wow, what are they called? Give them a shout out?
• 37:56
  Speaker 2: Aussie bum, Aussie bum? You started a couple of gay guys.
• 38:00
  Speaker 2: Do you know what can I tell you this story?
• 38:02
  Speaker 2: It's getting bit personal here. One of the reasons I
• 38:04
  Speaker 2: started wearing them is, well, you remember the old advertising
• 38:08
  Speaker 2: for cross your Heart bras and women who have supported
• 38:11
  Speaker 2: bras for when they run to keep everything you know
• 38:14
  Speaker 2: in place.
• 38:15
  Speaker 1: I don't think you needed to explain the second bit.
• 38:17
  Speaker 1: I think we could have just said supported bras. Yep,
• 38:19
  Speaker 1: we're with you, just trying to spell create a picture
• 38:22
  Speaker 1: for everyone. Pretty sure we don't need that.
• 38:26
  Speaker 2: Well, these jobs, there's there's a particular range of these
• 38:29
  Speaker 2: underwear that have a supporting cup in them as well
• 38:33
  Speaker 2: to keep it.
• 38:33
  Speaker 1: I love how to our listeners, Patrick's holding his hand
• 38:36
  Speaker 1: out like with his palm up like he's supporting a
• 38:40
  Speaker 1: cock and some testicles. Yep, thanks fucking hell. Can you
• 38:45
  Speaker 1: cut out the visuals today? I haven't had brecky yet, but.
• 38:49
  Speaker 2: I still a lot of paragliding and rock climbing, and
• 38:52
  Speaker 2: keeping the boys in the right position when you're wearing
• 38:54
  Speaker 2: a harness is pretty damn important.
• 38:57
  Speaker 1: Can I just say, nobody in the history of probably
• 39:00
  Speaker 1: any show has ever started a sentence with but I
• 39:03
  Speaker 1: used to do a lot of paragliding and hang gliding,
• 39:06
  Speaker 1: rock climbing, now rock climbing.
• 39:07
  Speaker 2: Rock climbing, gliding and rock climbing, and those are sports
• 39:10
  Speaker 2: where you need to have very good undergarments to make
• 39:14
  Speaker 2: sure you don't.
• 39:14
  Speaker 1: So what do you what are you saying that you're
• 39:17
  Speaker 1: well and doubt?
• 39:18
  Speaker 2: Is that the is that the I'm not saying that
• 39:20
  Speaker 2: at all. I'm just saying that you're still going to
• 39:22
  Speaker 2: keep the boys in place?
• 39:24
  Speaker 1: Well, what's wrong?
• 39:26
  Speaker 2: Have you been climbing before? Have you worn climbing harness?
• 39:30
  Speaker 1: No?
• 39:30
  Speaker 2: You do not want to slip out of your climbing
• 39:32
  Speaker 2: harness and get something caught in that strap of the harness.
• 39:36
  Speaker 2: You've got to be pretty.
• 39:36
  Speaker 1: I'm just a free range climber. I'm like an orangutan.
• 39:40
  Speaker 1: You fucking scale up?
• 39:41
  Speaker 2: Shit, how do we even get there? So anyway, I
• 39:44
  Speaker 2: buy a local and I try to buy Australian may
• 39:47
  Speaker 2: where possible. But this year, no, I have got enough
• 39:49
  Speaker 2: jocks to keep me through the year. I reckon Crago.
• 39:52
  Speaker 1: Talk to us about AI pro AI prompt. Yeah, I'm
• 39:57
  Speaker 1: fucking taking a left turn AI prompt. So when we
• 40:02
  Speaker 1: I think being able to write a good prompt makes
• 40:04
  Speaker 1: all the difference, because sometimes and a prompt everybody we're
• 40:08
  Speaker 1: just talking about when we're asking chat GPT your question
• 40:10
  Speaker 1: or we want it to do something or give it
• 40:13
  Speaker 1: an instruction, or any AI for that matter. Yeah, And
• 40:17
  Speaker 1: I've found that the quality of what I tell it
• 40:21
  Speaker 1: to do or ask it to do makes a huge
• 40:24
  Speaker 1: difference to the output it does.
• 40:27
  Speaker 2: AI prompting is really interesting because I tend to use
• 40:29
  Speaker 2: AI for the most part visually, so if I'm trying
• 40:33
  Speaker 2: to edit an image, you know, or trying to create
• 40:36
  Speaker 2: something that involves visual aspect. But AI prompting, it's this
• 40:40
  Speaker 2: is a skill to it, isn't there getting the prompt
• 40:42
  Speaker 2: right and getting it And I don't look, I don't
• 40:47
  Speaker 2: know if there's any real secret to it. I think
• 40:50
  Speaker 2: being you don't want to be too long winded. One
• 40:52
  Speaker 2: of an article I was reading with someone saying, one
• 40:55
  Speaker 2: of the mistakes you can make is being too detailed
• 40:58
  Speaker 2: when doing an AI prompt. If you do that, you
• 41:00
  Speaker 2: can kind of overcomplicate things by trying to say too
• 41:04
  Speaker 2: much and maybe start off with very simple basic prompts
• 41:08
  Speaker 2: and then if you need to, you know, to kind
• 41:10
  Speaker 2: of get more detailed, do it that way. But sometimes
• 41:12
  Speaker 2: you can go too long and be concerned about Yeah,
• 41:16
  Speaker 2: the detail don't get bogged down in the detail.
• 41:20
  Speaker 1: Yeah, And also sometimes yes is the answer. And also
• 41:24
  Speaker 1: sometimes I'm writing something and i'm writing a let's say,
• 41:31
  Speaker 1: a piece about decision making or something, and I'm using
• 41:35
  Speaker 1: metaphors and analogies, and then I'm trying to figure out
• 41:39
  Speaker 1: one and I might write nine sentences and I need
• 41:42
  Speaker 1: a banger last sentence, so I just go, I put
• 41:45
  Speaker 1: it in, see what it says. And so quite often
• 41:49
  Speaker 1: it will give a last sentence that's totally out of
• 41:53
  Speaker 1: kilter with the nine that I've done. Like I'm writing
• 41:57
  Speaker 1: tongue in cheek. It's it's like you have to figure
• 42:01
  Speaker 1: it's not clear, and then it writes the clear obvious.
• 42:06
  Speaker 1: So it takes a different style altogether. And while the
• 42:10
  Speaker 1: sentence kind of makes sense as a reading experience, it
• 42:15
  Speaker 1: totally doesn't fit.
• 42:17
  Speaker 2: Ye.
• 42:18
  Speaker 1: So you've really got to go, Okay, I want you
• 42:21
  Speaker 1: to write a bit about this, but it's got to
• 42:24
  Speaker 1: be it's got to be it's got to be accurate.
• 42:27
  Speaker 1: But also it's got to be fun, it's got to be.
• 42:30
  Speaker 1: You know, tongue in cheek it's a bit cheeky da
• 42:32
  Speaker 1: data And even then it's like, yeah, there's a lot
• 42:35
  Speaker 1: of like creative things. It's not very good.
• 42:39
  Speaker 2: Interestingly, Sam Altman, who is the genius, I guess behind
• 42:45
  Speaker 2: one of the largest AI models, he's saying his vision
• 42:50
  Speaker 2: for AI in the future is where it remembers everything
• 42:55
  Speaker 2: and you basically put your whole life into it. Everything
• 42:59
  Speaker 2: you've ever written, everything you've ever said. So we'd put
• 43:01
  Speaker 2: all of your podcasts in there, all of the emails
• 43:04
  Speaker 2: you've ever seen, and it would remember that. Because at
• 43:06
  Speaker 2: the moment, it kind of doesn't really do that, and
• 43:09
  Speaker 2: I don't know that fills me with a little bit
• 43:10
  Speaker 2: of dread. Would you want every single thing you've ever
• 43:14
  Speaker 2: emailed out, everything you've ever done, because really, if someone
• 43:17
  Speaker 2: was going to mimic you, or someone was going to
• 43:18
  Speaker 2: assist you, if you had the ultimate AI assistant, they
• 43:21
  Speaker 2: would need the full picture, not a sanitized version of you.
• 43:25
  Speaker 1: Yeah. Look, I get what you're saying. I'm not too
• 43:28
  Speaker 1: worried about that. I guess some people be real worried
• 43:31
  Speaker 1: about that. I don't think there's too much that's fucking
• 43:34
  Speaker 1: incriminating or but but what I think about you know
• 43:41
  Speaker 1: how we're kind of handing out a lot of information
• 43:44
  Speaker 1: to AI, or we're kind of outsourced. It seems like
• 43:47
  Speaker 1: we're outsourcing thinking, right, Oh, I don't want to think.
• 43:50
  Speaker 1: I'll let it think for me, which I understand that
• 43:54
  Speaker 1: and I do actually think depending on how it's used,
• 43:57
  Speaker 1: it can be a negative and it can as you
• 44:00
  Speaker 1: suggested earlier, there's definitely that, Not that it makes people dumber,
• 44:07
  Speaker 1: because IQ is IQ, but I think that it can
• 44:11
  Speaker 1: have a negative impact on cognitive function even the structure
• 44:15
  Speaker 1: of the brain. Like somebody uses their brain a lot,
• 44:20
  Speaker 1: their brain looks different to someone who doesn't use their
• 44:22
  Speaker 1: brain a lot. Like there's just a lot of a
• 44:24
  Speaker 1: lot more neural pathways, a lot of different stuff physiologically
• 44:28
  Speaker 1: and anatomically going on. But I think like for me
• 44:34
  Speaker 1: using AI, my brain's working more than ever because I'm
• 44:37
  Speaker 1: not only am I it makes it gives me more
• 44:41
  Speaker 1: time to do other stuff where I am using my brain,
• 44:45
  Speaker 1: whereas it can give me a short cut and it
• 44:48
  Speaker 1: can give me an answer to something quite quickly, which
• 44:50
  Speaker 1: then I have to verify, of course. But also I'm
• 44:54
  Speaker 1: constantly thinking about how do I use this tool optimally,
• 44:59
  Speaker 1: Like it's not a rep placement for thinking or for
• 45:01
  Speaker 1: my brain or for my knowledge. For me, it's just
• 45:05
  Speaker 1: a tool that I can use to do more shit
• 45:10
  Speaker 1: and create better outcomes. And it's like, well, sure you
• 45:14
  Speaker 1: can cut those bits of wood with that ten and saw,
• 45:17
  Speaker 1: it's going to take you five hours, or you can
• 45:20
  Speaker 1: use this circular saw. It's going to take you five minutes.
• 45:23
  Speaker 1: Oh oh yeah, but now someone's losing a job because
• 45:27
  Speaker 1: they're not. No, now we're just all going to use
• 45:30
  Speaker 1: these circular saws. Now it's much more efficient. So yeah,
• 45:34
  Speaker 1: I think I think every I think with everything. You know,
• 45:38
  Speaker 1: when rock and mole music came in, it's like it's
• 45:40
  Speaker 1: the end of the world.
• 45:42
  Speaker 2: You know.
• 45:42
  Speaker 1: When computers came in, people are like, oh, that's not
• 45:44
  Speaker 1: going to take on the internet. That was never going
• 45:47
  Speaker 1: to work. And I don't know, I just think everybody
• 45:50
  Speaker 1: has a negative bent when new things kind of emerge.
• 45:54
  Speaker 2: And I had an employee who left last year who
• 45:58
  Speaker 2: was with me for about four year years and he
• 46:02
  Speaker 2: obviously used a calculator a lot, and we would do
• 46:05
  Speaker 2: an end of month's summary of the work that he
• 46:07
  Speaker 2: did and come up with totals and all. We're doing
• 46:10
  Speaker 2: proposals and we'd have to work out what the you know,
• 46:13
  Speaker 2: we're going to quote for a job. Interestingly, I always
• 46:17
  Speaker 2: like the challenge of adding up sums in my head,
• 46:20
  Speaker 2: just occasionally. But his total reliance on the calculator, and
• 46:24
  Speaker 2: I mean a physical, literal calculator, either the on screen
• 46:27
  Speaker 2: or he had a calculator on his desk. And this
• 46:30
  Speaker 2: is old tech we're talking about now, But the reality
• 46:33
  Speaker 2: was that even simple sums he would use in the calculator,
• 46:37
  Speaker 2: so that part of his processing brain that did sums
• 46:42
  Speaker 2: he just didn't want to use. He just used an
• 46:44
  Speaker 2: electronic device. Now, calculators has been out forever, you know,
• 46:49
  Speaker 2: they've been out. You know, we grew up with them
• 46:50
  Speaker 2: at school. But what does that actually say about the
• 46:53
  Speaker 2: brain's ability to do that, you know, to process and
• 46:56
  Speaker 2: to take figures. You know, a local supermarket a little
• 46:59
  Speaker 2: while ago, the checkout girl was trying to work out
• 47:05
  Speaker 2: the price or something and that wasn't in the system,
• 47:07
  Speaker 2: and there were a number of them, and she was
• 47:09
  Speaker 2: sitting there like she couldn't do anything, she couldn' add
• 47:12
  Speaker 2: them up. And I said, well it's this. It was
• 47:14
  Speaker 2: a really not relatively simple I mean obviously, and I
• 47:18
  Speaker 2: think it was a percentage of something or or a
• 47:20
  Speaker 2: half price and then add something else. I can't even
• 47:23
  Speaker 2: remember what the sum was, but it was a pretty
• 47:25
  Speaker 2: easy one to work out. But she just stood there
• 47:27
  Speaker 2: dumbfounded because she a when I gave her the answer,
• 47:30
  Speaker 2: she couldn't use it because she couldn't verify it, and
• 47:33
  Speaker 2: b ended up having to get someone over to reset
• 47:35
  Speaker 2: her computer so she could put it in and recalculate it,
• 47:39
  Speaker 2: you know.
• 47:39
  Speaker 1: But it was, yeah, I'm with you, But then I think, Okay,
• 47:43
  Speaker 1: so the person who can't add maths, you give them
• 47:47
  Speaker 1: a canvas and some paint, and they paint something fucking
• 47:49
  Speaker 1: phenomenal that I couldn't even begin, Like, I'm really good
• 47:53
  Speaker 1: at maths, but that's my default setting. It's not because
• 47:56
  Speaker 1: I try to be like I'm that's the way my
• 47:59
  Speaker 1: brain works, But some people's Like one of my friends
• 48:03
  Speaker 1: is dyslexic. He's a fifty year old grown ass man
• 48:07
  Speaker 1: and he struggles to read a paragraph. But that's the
• 48:10
  Speaker 1: way his brain works. But you give him some shit
• 48:14
  Speaker 1: to build, He'll build a fucking house in an afternoon,
• 48:17
  Speaker 1: and I'll still be trying to figure out how the
• 48:19
  Speaker 1: hammer works. So intelligence is on a spectrum. And just
• 48:23
  Speaker 1: because I think some people using a calculator is the
• 48:27
  Speaker 1: right thing, and I don't think I know what you're saying,
• 48:31
  Speaker 1: but you're probably naturally good at maths. I'm naturally good
• 48:35
  Speaker 1: at maths, but then there are things that I'm not
• 48:37
  Speaker 1: naturally good at which I avoid.
• 48:40
  Speaker 2: And I go more than you'll lose it. Yeah, I
• 48:43
  Speaker 2: was thinking the use it or lose it kind of
• 48:44
  Speaker 2: mentality in terms of that side of it. But you're right.
• 48:48
  Speaker 2: In fact, the person that I'm thinking of was amazingly
• 48:51
  Speaker 2: is amazingly talented and creative.
• 48:53
  Speaker 1: So there are so many creative geniuses who are academically
• 48:59
  Speaker 1: not brilliant.
• 49:00
  Speaker 2: Yeah, yeah, for sure. Hey, just can we get onto
• 49:03
  Speaker 2: a different topic. I've got this really interesting tech gadgets,
• 49:06
  Speaker 2: and I thought, if there's a couple of little gadgets
• 49:08
  Speaker 2: I'm really excited about. But this seems to make so
• 49:11
  Speaker 2: much sense to me. I've never even thought about it before.
• 49:13
  Speaker 2: You can buy a smart jar lid. Okay, so thinking
• 49:18
  Speaker 2: a smart jar lid that uses UV light to keep
• 49:22
  Speaker 2: your food fresher longer. So if you've got stuff that
• 49:24
  Speaker 2: you're putting in the fridge and you put this lid on,
• 49:27
  Speaker 2: it emits ultraviolet light to stop bacteria growing. So obviously
• 49:31
  Speaker 2: putting things in the fridge will prolong how long it
• 49:33
  Speaker 2: will last because it slows down any movement by bacteria
• 49:37
  Speaker 2: or any growth by bacteria. But the addition of a
• 49:39
  Speaker 2: smart lid that just shines UV light onto the top
• 49:44
  Speaker 2: of whatever it is. Because if you've got a jar
• 49:45
  Speaker 2: of jam and you know you spring, the top of
• 49:50
  Speaker 2: the bacterial will form at the top because the bottom
• 49:52
  Speaker 2: hasn't got any air exposed to it. It's just the
• 49:54
  Speaker 2: top part. So how good is that idea? Having a
• 49:57
  Speaker 2: UV light just in the jar the lid of your jar.
• 50:00
  Speaker 1: Wow, imagine opening the fridge. There's all these little kind
• 50:03
  Speaker 1: of looks like science experiments in your fridge. There's just
• 50:06
  Speaker 1: all these little illuminated fucking jars of shit. So it's
• 50:10
  Speaker 1: not at all.
• 50:11
  Speaker 2: It looks like the YouTube podcast backdrop that you've got
• 50:15
  Speaker 2: on your screen. So that's glowing blue. There's an ultra
• 50:18
  Speaker 2: violet to keep you fresher.
• 50:20
  Speaker 1: That is. Yes, I'm actually two under thirteen years old.
• 50:25
  Speaker 1: Just unless it comes every day and sprays me with
• 50:27
  Speaker 1: something I'm not sure what it is. Yeah, it turns
• 50:30
  Speaker 1: on the UV just to get the bacteria off me.
• 50:33
  Speaker 2: So Craig is using a fake background on his zoom
• 50:37
  Speaker 2: could we not say fake.
• 50:39
  Speaker 1: Can we just say it's a virtual it's a virtual studio.
• 50:44
  Speaker 2: Fake, it's not real. It's fake. It's just a projected image.
• 50:48
  Speaker 2: But it's very blue and it looks like UV. And
• 50:50
  Speaker 2: now it suddenly occurred to me that he's probably using
• 50:53
  Speaker 2: it to just keep himself fresh.
• 50:55
  Speaker 1: It's a real image.
• 50:57
  Speaker 2: Okay, hey, other So I know we're running out of time,
• 51:01
  Speaker 2: but it's going to tell you. You know, China is
• 51:03
  Speaker 2: now officially saying that any cars so predominantly electric car
• 51:08
  Speaker 2: companies that have recessed door handles. So in a lot
• 51:12
  Speaker 2: of cars, including Tesla, there are recessed handles you kind
• 51:17
  Speaker 2: of tap and then they come out of the side
• 51:18
  Speaker 2: of the car, so it's for screamlining. The problem is
• 51:22
  Speaker 2: if something happens to the battery and the power, then
• 51:25
  Speaker 2: the handle won't come out. And so authorities in China
• 51:29
  Speaker 2: are saying this is still a couple of years away.
• 51:31
  Speaker 2: They're saying from twenty twenty seven, any car sold in
• 51:34
  Speaker 2: China has to have a manual door release after electronic
• 51:38
  Speaker 2: handles were failing during crashes. So that's an in one.
• 51:41
  Speaker 2: I think that's a really good decision.
• 51:44
  Speaker 1: I've heard about that I've heard about people who had
• 51:46
  Speaker 1: accidents and couldn't get out of the fucking car because
• 51:50
  Speaker 1: it was all locked electronically and all the electronics were down.
• 51:54
  Speaker 1: So though were just quickly on cars and China and electronics.
• 52:00
  Speaker 1: I don't know if you saw the news last night,
• 52:02
  Speaker 1: I'm doubting not so byd the biggest seller of electric
• 52:08
  Speaker 1: cars in the world.
• 52:10
  Speaker 2: Now, oh yeah, that doesn't SPA. So it was.
• 52:14
  Speaker 1: Tesla I think probably in Australia as well. Yeah, so
• 52:19
  Speaker 1: they they yeah, they're killing it. At the moment that
• 52:24
  Speaker 1: some of the Chinese stuff that's coming out, I know,
• 52:26
  Speaker 1: people are like, oh, it's junk. It's like, dude, some
• 52:30
  Speaker 1: of the stuff is so fucking amazing. Like if you
• 52:33
  Speaker 1: just objectively, you know, cars are an interesting thing. I'll
• 52:38
  Speaker 1: talk for thirty seconds then back to you. But I've
• 52:40
  Speaker 1: always thought cars are fascinating in that how much of
• 52:43
  Speaker 1: an emotional attachment, not all, not you, not me, probably,
• 52:47
  Speaker 1: but like people having them. Oh i've got a MERK
• 52:51
  Speaker 1: or I've got a BM or Traditionally those European cars
• 52:54
  Speaker 1: that were very aspirational, Oh look he's got this or
• 52:57
  Speaker 1: she's got that, right, but the actual car wasn't that
• 53:02
  Speaker 1: fucking amazing. You know, there were Mazdas that you could
• 53:05
  Speaker 1: buy for thirty grand less. Like, you've got a Mazda,
• 53:08
  Speaker 1: which is a fucking amazing car. Yeah, I've got a
• 53:11
  Speaker 1: Hyundai which is Santa Fe, which is better than some
• 53:17
  Speaker 1: of my friends fucking two hundred thousand dollars SUVs. They
• 53:20
  Speaker 1: get in my car, which costs less than half of
• 53:22
  Speaker 1: what theirs did, and they're like, oh my god, this
• 53:25
  Speaker 1: is fucking space age. I'm like, yeah, made in Korea.
• 53:28
  Speaker 2: Bro.
• 53:29
  Speaker 1: You know, it's like it's just that psychology of where
• 53:33
  Speaker 1: is this made, and therefore it must be, you know,
• 53:36
  Speaker 1: especially with things like cars, where there are no ASI
• 53:39
  Speaker 1: cars anymore, So fucking why whatever you're going to buy?
• 53:43
  Speaker 2: My first car was amazing. You know, it's funny you
• 53:45
  Speaker 2: say that because I bought my very first brand new
• 53:48
  Speaker 2: car because I'd never bought a brand new car before
• 53:50
  Speaker 2: until just after COVID, when it was very hard to
• 53:53
  Speaker 2: buy a brand new cars. But also the second hand
• 53:56
  Speaker 2: car market had gone through the roof. So for me,
• 53:58
  Speaker 2: I thought, I'm not gonna waste money on a second
• 53:59
  Speaker 2: hand carsick at end problems, and I found a demo
• 54:02
  Speaker 2: model of a particular mas to the Mix thirty. But
• 54:05
  Speaker 2: what I love about it is it's got They call
• 54:08
  Speaker 2: them freedom doors, but everybody in the world calls them
• 54:11
  Speaker 2: suicide doors. You know the doors. The doors open up
• 54:14
  Speaker 2: the opposite way, and I think that you know why
• 54:16
  Speaker 2: they called them suicide doors.
• 54:19
  Speaker 1: I'm sure because well, so, just to reiterate what Patrick
• 54:24
  Speaker 1: said to everyone, So it's like, the door opens the
• 54:28
  Speaker 1: opposite way. So instead of you know, like if you
• 54:31
  Speaker 1: went up, you know, you open the handle, if you
• 54:33
  Speaker 1: went up to the other end of the door, it
• 54:35
  Speaker 1: opens like where you're opening the door to the world.
• 54:39
  Speaker 1: Not yeah, so I guess it's because you were, in
• 54:44
  Speaker 1: some instances basically committing suicide to step out into the traffic.
• 54:48
  Speaker 2: No, well, yeah, kind of. So in the olden days,
• 54:51
  Speaker 2: the front doors would open the normal way that front
• 54:54
  Speaker 2: door would, but the back doors would be hinged at
• 54:56
  Speaker 2: the rear and flip open. But because people didn't have seatbell,
• 55:00
  Speaker 2: occasionally the mechanism would fail and while they were driving
• 55:03
  Speaker 2: the rear door the suicide door would flick open, and
• 55:06
  Speaker 2: they would reach to grab it to stop it flicking open,
• 55:09
  Speaker 2: and it would drag them out of the car. So
• 55:11
  Speaker 2: people died grabbing for the rear door that flicked open
• 55:14
  Speaker 2: the wrong way. But what I was getting at is
• 55:19
  Speaker 2: I've never gone for brands. My first car was a Mazda,
• 55:21
  Speaker 2: and then I had a run of cars. I've only
• 55:23
  Speaker 2: had four cars, Craig go, I know, you can't believe
• 55:25
  Speaker 2: that I've only ever owned four cars in my whole life.
• 55:29
  Speaker 2: First three were secondhand and I had them for ages.
• 55:32
  Speaker 2: In fact, I still got my Nissan. That's I think
• 55:34
  Speaker 2: I've had for thirty two years sitting in my driveway anyway.
• 55:38
  Speaker 2: But the Mazda is my most recent car, and it's
• 55:41
  Speaker 2: those things that I like about it. It's got analogue still,
• 55:44
  Speaker 2: so I've got knobs to control the volume, to turn
• 55:48
  Speaker 2: the temperature up and down. I like that it's still
• 55:50
  Speaker 2: a hybrid between and it is literally a hybrid, but
• 55:52
  Speaker 2: it's got a lot of analog as well as digital.
• 55:55
  Speaker 2: So it's got the heads up display and all the
• 55:57
  Speaker 2: fun things that I love. But it's still not quite
• 56:00
  Speaker 2: a scream like an iPad sitting on a dash, which
• 56:03
  Speaker 2: is what the Tesla is. So I think I like
• 56:05
  Speaker 2: that combination of tech but analogue as well. That's kind
• 56:10
  Speaker 2: of does it for me.
• 56:11
  Speaker 1: Yeah, I love that visceral experience of twisting a nob
• 56:14
  Speaker 1: or sliding something across something that's physical, that I can
• 56:19
  Speaker 1: give us one more than I've got to go.
• 56:20
  Speaker 2: Oh, this is great move over. Bluetooth wired headphones are
• 56:25
  Speaker 2: back and they're super cool. So I watched the last
• 56:28
  Speaker 2: episode of Stranger Things last night.
• 56:31
  Speaker 1: Can I just stop you? Did you say wired? W
• 56:35
  Speaker 1: ir ed or wid no?
• 56:38
  Speaker 2: Wired? So it's become a lot of Hollywood celebrities and
• 56:41
  Speaker 2: now going back to their headphones with a chord on them.
• 56:45
  Speaker 2: So tis well, it's just the cool, trendy, hip thing
• 56:48
  Speaker 2: to do. Man, if you're one of the latest trendy
• 56:50
  Speaker 2: young kids out there, We've got CDs, we've got cassettes,
• 56:54
  Speaker 2: and we've got wired headphones.
• 56:56
  Speaker 1: I'm pretty sure it's just the trendy thing to do. Man,
• 56:59
  Speaker 1: is not a trend not a trendy sentence? Patrick, Where
• 57:04
  Speaker 1: can people find you and connect with you?
• 57:06
  Speaker 2: Well, they can go to websites now, dot com, dot
• 57:09
  Speaker 2: au if they want to kind of just chat. Give
• 57:13
  Speaker 2: us some topics to talk about. If you want us
• 57:14
  Speaker 2: to talk about something in particular that's tech related, then
• 57:17
  Speaker 2: I'll I'll research it, I will and I'll read more
• 57:20
  Speaker 2: than one paper about it too, Craigo.
• 57:22
  Speaker 1: That'd be great. Or if there's something you think Patrick
• 57:24
  Speaker 1: and I should argue about, just same. It's beautiful. I
• 57:31
  Speaker 1: love it all right, mate, fast recovery to Fritzie as well.
• 57:38
  Speaker 2: Fretzie for a lick then, just as you were talking.
• 57:43
  Speaker 1: Yeah, stop licking that ship, all right mate. I'll see
• 57:46
  Speaker 1: you soon, do mate,