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Speaker 1: I get a teen Patrick, James Mean Andlla Craig, Anthony Harper,

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Speaker 1: our Fortnightly get together and you are part of that.

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Speaker 1: In fact, we get here together for you because you're

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Speaker 1: loved by us. Hi, Patrick, how are you doing?

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Speaker 2: I have such an exciting day today, Craigo. Remember what

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Speaker 2: I'm doing today?

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Speaker 1: Thirty three on a Friday. As we record this everyone today,

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Speaker 1: when did you tell me?

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Speaker 2: I don't know, middle of the week.

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Speaker 1: Today, I'm a shit friend Forretney.

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Speaker 2: You laughed at me.

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Speaker 1: What tell me again?

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Speaker 2: I'm waiting for a chimney sweep to come over.

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Speaker 1: Oh, that's right, the chimney sweep. And I said, what

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Speaker 1: is this? Eighteen ten? Are you fucking Oliver? Please? Sir?

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Speaker 1: I want more now. All of our young audience members

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Speaker 1: will not know who Oliver Twist is. Just google it, kids.

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Speaker 1: Why do you have a chimney sweep coming? Well, I

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Speaker 1: guess it's obvious, but I didn't even know that they

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Speaker 1: still existed.

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Speaker 2: People still have chimneys, and they still have flues that

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Speaker 2: connect to their fireplaces. And mine isn't working properly. So

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Speaker 2: the port Fritz, the schnauzer, who's very needy this morning.

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Speaker 2: He and I well, he stood there looking at me

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Speaker 2: while I tried to light the fireplace the other day

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Speaker 2: when it got down to two degrees and smoke started

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Speaker 2: billowing out out of the fire, I thought that flu

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Speaker 2: isn't working, first time I've used it this year, so

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Speaker 2: it must be blocked. And all the smoke alarms went off,

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Speaker 2: and I'm running around upstairs with a tea towel and

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Speaker 2: trying to stop the smoke, which wasn't helping. So yeah,

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Speaker 2: I thought, I'm going to have to get desperate now.

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Speaker 2: So I call the local hardware store and yes, they

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Speaker 2: knew a chimney sweep, and he's coming over today. Three

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Speaker 2: weeks later. Wow, in high demand.

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Speaker 1: What's a good thing? It's been unseasonally warm for you? Well,

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Speaker 1: probably not up in the land, but it's been bloody.

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Speaker 1: There's twenty or twenty one the other day down here

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Speaker 1: in I mean, well, I'm not winter, but Nelly winter.

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Speaker 2: Oh for sure. And look we have really chilly, chilly mornings.

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Speaker 2: I have a wheat bag that I put in the

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Speaker 2: microwave to put in my pocket so that my hands

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Speaker 2: don't get cold with that is that is?

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Speaker 1: Oh? I can't say what I was going to say.

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Speaker 1: But fucking ninety eight percent of people would have laughed

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Speaker 1: in two percent would have sent an email. But you know,

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Speaker 1: you know, you know what that is?

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Speaker 2: All right?

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Speaker 1: Apart from that, have you been good? Everything? All right?

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Speaker 1: Why is Fritz a underdog so needy?

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Speaker 2: By the way, because he normally goes through a walk

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Speaker 2: at seven am, we go out for an hour, and

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Speaker 2: because he woke me up at two am and I

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Speaker 2: didn't get back to sleep till three point thirty, I

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Speaker 2: had something of a sleep in.

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Speaker 1: Well, there you go.

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Speaker 2: I haven't taken him out yet. I'm gonna have to

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Speaker 2: take him out after the show.

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Speaker 1: You're in the bad books, but in about an hour

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Speaker 1: you'll be in the good books.

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Speaker 2: It's right.

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Speaker 1: Hey. There's been a bit of chat in the media

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Speaker 1: about some parents and experts wanting to raise the age

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Speaker 1: for social media for teenagers to like sixteen or something,

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Speaker 1: and that's one. What are your thoughts on that? And too,

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Speaker 1: how the fuck would you ever enforce that?

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Speaker 2: Yeah, it's a tough one. It's one of those generational

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Speaker 2: things where well, I've got one, all my friends have one.

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Speaker 2: I don't want to not have a phone. I don't

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Speaker 2: want to have access to social media. It's really difficult

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Speaker 2: because a lot of children's identities are also kind of

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Speaker 2: included in that they connect by devices. You know, friends

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Speaker 2: of mine have a fourteen year old and from the

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Speaker 2: age of about eleven or twelve, he was chatting to

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Speaker 2: his mates using his iPad. So how do you rule

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Speaker 2: out social media as opposed to just direct connection, You know,

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Speaker 2: it's really hard. But the reasoning behind this, And look,

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Speaker 2: I'm in two minds and I don't have children, so

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Speaker 2: but I do see friends' kids, and I wonder whether

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Speaker 2: there is a problem when people are looking for likes,

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Speaker 2: and that's the big thing that seems to be coming up.

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Speaker 2: It's a and this is an Australian mind you they're

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Speaker 2: saying that the like button the kids. This is specifically

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Speaker 2: about social media. So you put a post up whatever

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Speaker 2: the platform happens to be, and someone likes it. Now,

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Speaker 2: how many likes you get can play a very big

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Speaker 2: part in how you feel about yourself and what you've posted,

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Speaker 2: particularly if you're posting a selfie. You know, think about

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Speaker 2: you at the gym and how many times you post

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Speaker 2: pictures of yourself and you know you can one like?

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Speaker 2: You know that must be to you.

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Speaker 1: Yeah, it's fucking I'm straight from here to my therapist

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Speaker 1: because yesterday I only got two yeah, and what was mum?

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Speaker 1: And the other was Arnie Marge, So.

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Speaker 2: I like you last week yesterday.

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Speaker 1: Oh sorry, I think it was the bear rug. It

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Speaker 1: was slightly out of position.

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Speaker 2: That could have been it. Well, see, there is there

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Speaker 2: is a name for this. It's a new mental kind

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Speaker 2: of health condition. They're calling it problem Internet use or

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Speaker 2: p I you And this this is not just kind

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Speaker 2: of abstract statements being made by people in general. These

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Speaker 2: are quite a few renowned researchers, experts, you know, clinicians

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Speaker 2: who work in the area of child mental health, and

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Speaker 2: that's what they're trying to draw on to discuss ways.

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Speaker 2: You know that this generation of children who potentially are

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Speaker 2: being lost to the likes of you know, meta which

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Speaker 2: is Facebook and Instagram, TikTok and all of those engaging,

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Speaker 2: keep scrolling, keep engaging platforms that just do everything they

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Speaker 2: possibly can to try to keep you online. That's what

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Speaker 2: the whole aim of social media is. So this is

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Speaker 2: coming from the Royal College of Psychiatrists and they're talking

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Speaker 2: about the impact of technology on teenagers and they really

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Speaker 2: are the guinea pigs of this generation, aren't they when

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Speaker 2: you think about it, because they're saying more than four

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Speaker 2: in ten austraeteens, so forty percent suffer from mental health distress,

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Speaker 2: with experts saying that you know, the case are now

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Speaker 2: on the rise, and this is being attributed to social media.

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Speaker 2: But what is even more scary is they're saying the

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Speaker 2: rate of hospitalization for intentional self harm has surged. We're

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Speaker 2: talking by seventy percent in young young women between the

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Speaker 2: age of fifteen and nineteen, and that's from two thousand

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Speaker 2: and eight, two thousand and nine to twenty twenty one,

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Speaker 2: twenty two. So in a very very short amount of time,

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Speaker 2: the warning flags are being raised. And so I mean,

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Speaker 2: it's a long winded answer, but I'm not an expert,

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Speaker 2: but if kids are harming more and there's more distress,

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Speaker 2: then you know, there's got to be a way to

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Speaker 2: do it. I mean, I think technology is such an

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Speaker 2: intrinsic part of the lives of everybody, but we as

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Speaker 2: adults can be discerning enough to put it away sometimes.

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Speaker 1: Well, I think, you know, it's like for me, it's

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Speaker 1: a little bit like, you know, cigarettes kill lots of people,

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Speaker 1: But then I've never had a cigarette you either.

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Speaker 2: Right, No, No, I had a we will them two

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Speaker 2: cigar once mate when we were fourteen, and we almost

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Speaker 2: choked the death and that did it for me.

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Speaker 1: Now, well, thanks for interrupting for that. You know, you know,

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Speaker 1: whether or not it's well, I don't think that's a cigarette,

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Speaker 1: whether or not it's booze or cigarettes or technology or

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Speaker 1: pawn or you know, like it's we don't have to

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Speaker 1: use social media, like it's not a rule. But as

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Speaker 1: you and I have spoken about before, if you're fourteen

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Speaker 1: years old, you've never had a world without technology. You know.

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Speaker 1: It's like it's, well, maybe a few kids in Australia

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Speaker 1: who grew up in you know, on farms in rural wherever,

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Speaker 1: or in the outback or whatever, but the vast majority

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Speaker 1: of fourteen year old Australian kids have pretty much had

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Speaker 1: their whole life interwoven with technology in one shape or form.

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Speaker 1: And I guess yeah, it's like do we get rid

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Speaker 1: of it? Do we ban it? Or do we teach

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Speaker 1: them how to you know, it's like do we teach

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Speaker 1: kids how to eat well? Do we teach kids how

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Speaker 1: to move their body well? And look after their irreplaceable

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Speaker 1: gift that is their body, do we I don't know.

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Speaker 1: It's like when you just I feel like if you

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Speaker 1: just ban it, I don't know that you're teaching them anything,

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Speaker 1: and I don't know that that is going to be

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Speaker 1: a solution. And at the same time, you think about, well,

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Speaker 1: if not for social media and technology and you and

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Speaker 1: I wouldn't be doing this and we wouldn't have, you

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Speaker 1: know whatever, half a million listeners a month and all

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Speaker 1: the great things that we have. So I don't know

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Speaker 1: that of themselves that all of these things are good

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Speaker 1: or bad, but the rather the way that they are

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Speaker 1: used and experienced and I guess exploited. And you're right,

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Speaker 1: like Meta is a for profit company. It's not a

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Speaker 1: charity metas you know, despite what they'll say, which is

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Speaker 1: all pr and as is it. Of course, every company

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Speaker 1: wants to be seen to be morally conscious and ethical,

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Speaker 1: of course because that's good for the brand. But the

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Speaker 1: bottom line is the bottom line for most companies, like

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Speaker 1: their bottom line is their profit. And if you can

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Speaker 1: the longer that you can keep people on their sites

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Speaker 1: or on their apps or whatever it is, as we've

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Speaker 1: said before, the more profitable it is for them.

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Speaker 2: Right, Look, you know. It's funny whilst you were talking,

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Speaker 2: two things popped into mind. You know, you make that

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Speaker 2: mental ledger the pros and cons. And I'm going to

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Speaker 2: ask you a question. When you were thirteen, fourteen, fifteen,

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Speaker 2: living where you were was out MOOI wait, you know,

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Speaker 2: out in the bush, would you if I sit to

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Speaker 2: you now you can go back in time, would you

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Speaker 2: want social media and to be able to actively actively

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Speaker 2: be a part of it as a kid?

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Speaker 1: Yeah, one hundred percent. No. However, look, I think I

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Speaker 1: think old people and I'm going to not put you

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Speaker 1: in that category, but me in that category. I think

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Speaker 1: we tend to romanticize the past and we go, oh,

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Speaker 1: back in my day, I want to punch people in

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Speaker 1: the face. I'm like, back in your day, it was

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Speaker 1: shit sometimes, you know what I mean. It's like you

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Speaker 1: know that it's everyone thinks that now is shit and

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Speaker 1: then was better, and like, I don't believe that. Like

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Speaker 1: I think that they're being alive now, although there's a

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Speaker 1: lot of shit going on. I think that being alive

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Speaker 1: now depending on where you are, of course, I'm talking

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Speaker 1: about you know, you and me living in first world

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Speaker 1: luxury really in Australia, anyway, it's like it's never been

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Speaker 1: a better time, Like it's never been We've never been

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Speaker 1: more fortunate. Is there bad shit going on? Yes? Was

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Speaker 1: there bad shit going on back then? I think a

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Speaker 1: lot of the current dilemmas that we're dealing with are

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Speaker 1: self created. But for me, I loved my childhood. But

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Speaker 1: then there were kids in the same era as me

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Speaker 1: who had terrible childhoods. But me personally, I wouldn't change it.

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Speaker 2: No, So it's interesting you say that because on the

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Speaker 2: flip side, for me, I had, for the most part,

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Speaker 2: I had a pretty good upbringing. I had a lot

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Speaker 2: of freedom, got on my bike, got up in the

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Speaker 2: morning on a Saturday, and didn't come home till nighttime,

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Speaker 2: you know, stayed at the mate's place. But as an

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Speaker 2: older teen, and I'm thinking about this demographic we're talking about,

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Speaker 2: I felt sad and isolated a lot of the time,

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Speaker 2: psychologically mentally unconnected, and I it was Yeah, it was

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Speaker 2: a really tough time. And if I had been able

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Speaker 2: to connect with peers online, if I'd been able to

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Speaker 2: realize that I was okay and that there were other

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Speaker 2: people like me, then my negative thoughts self harm probably

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Speaker 2: wouldn't have happened, so I.

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Speaker 1: Think, and that's a beautiful example of there is no

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Speaker 1: right or wrong, but it's right and wrong for the individual.

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Speaker 1: And it's like, for you, I agree, it probably would

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Speaker 1: have made your life better. I don't think it would

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Speaker 1: have made my life better, but it may it may have.

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Speaker 1: I don't know, but I think for you that's a

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Speaker 1: and I think, like when we extrapolate this, mate, you think, well,

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Speaker 1: there are lots of kids who use social media without problems,

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Speaker 1: and there are lots that probably more that have. You know,

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Speaker 1: I don't know what the percentage is, but yeah, I

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Speaker 1: sometimes I think we need to figure out what is

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Speaker 1: the underlying cause, because it's like technology can be used

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Speaker 1: for great stuff, but not so great stuff.

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Speaker 2: Can I throw some stats at you?

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Speaker 1: Sure?

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Speaker 2: So there's a campaign called let Them Be Kids, and

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Speaker 2: they did a serve a recently of over three thousand

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Speaker 2: social media users and this is what their pole come

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Speaker 2: up with. Seventy percent of teens have had a negative

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Speaker 2: experience on social media, three has been exposed to disturbing

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Speaker 2: or traumatic content, Forty five percent have been abused or harassed,

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Speaker 2: one in four have been cyber bullied or sexually harassed.

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Speaker 2: Fifty nine percent have been scammed and one in ten

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Speaker 2: have been the victim of revenge porn. So when those

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Speaker 2: statistics are thrown out, it's frighteningly high. And I guess,

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Speaker 2: you know, it's three thousand social media users. Now I'd

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Speaker 2: want to dig further into those stats, to be honest,

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Speaker 2: I'd want to know, you know, the demographic spread, all

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Speaker 2: that sort of thing. But those seem like pretty worrying

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Speaker 2: statistics to me. And I guess we have to rely

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Speaker 2: on the experts and not rely on knee jerk, not

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Speaker 2: rely on you know, the media blowing things out of proportion.

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Speaker 2: And I guess what you do is you set up

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Speaker 2: working groups with psychologists, with people who understand the industry,

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Speaker 2: and you get the brains into the building. And that's

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Speaker 2: how you make those decisions. You know, often you think

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Speaker 2: about politics, where I certainly think about politics, and you think,

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Speaker 2: I wonder how many politicians actually did science and have doctorates,

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Speaker 2: And they don't because generally, the pool of people, the

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Speaker 2: talent pool of people who want to get into politics

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Speaker 2: generally don't come from the science and technology background. But

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Speaker 2: that's why you employ experts from the CSIRO and other

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Speaker 2: organizations to be advisors. So I guess my response to

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Speaker 2: all of this is we can speculate as much as

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Speaker 2: we like and kind of look back and reminisce and

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Speaker 2: they wouldn't have been nice. But the reality is, I

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Speaker 2: guess it's out of our hands. And I hope that

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Speaker 2: whoever does make the decisions is asking the right questions

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Speaker 2: of the right people.

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Speaker 1: Yeah, yeah, no, I think that's very valid. There's also

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Speaker 1: there's also another component that I think of, which is

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Speaker 1: is teaching people to be able to self regulate and

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Speaker 1: make good decisions. And what doors do I open? You know,

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Speaker 1: what metaphoric doors do I open? If I choose to

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Speaker 1: go and watch porn? You know that can become problematic. Well,

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Speaker 1: nobody put a gun to my head. But I'm doing it.

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Speaker 1: I'm going back each day or if I choose to.

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Speaker 1: You know, I'm not saying that the kids are at fault.

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Speaker 1: I'm saying, you know, we stick like we For me,

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Speaker 1: I find this a little bit. What's the words. I'm

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Speaker 1: curious and fascinated around being a teenager now, the experience

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Speaker 1: of being a teenager, because in a minute they're going

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Speaker 1: to be adults, right, and the world doesn't give a

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Speaker 1: fuck about your emotions or your feelings, right, and so

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Speaker 1: when you step out of the nest, you know, the

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Speaker 1: bubble where everyone's like you okay, And we need that.

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Speaker 1: Of course, we need love, care, compassion, of course, but

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Speaker 1: also at the same time, we need to build kids

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Speaker 1: to be able to or to help empower them to

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Speaker 1: be able to be strong and resilient and make good

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Speaker 1: decisions and be aware and be in charge of their

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Speaker 1: own life. And you know, because the fourteen year old

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Speaker 1: in a minute is going to be an adult with

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Speaker 1: a job or at university and driving a car and

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Speaker 1: legally drinking booze and socializing with other adults. And so

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Speaker 1: while we need to protect them, of course, I think

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Speaker 1: we also need to from a sociological, psychological, emotional point

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Speaker 1: of view, help equip them so that they are independently thinking,

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Speaker 1: critically making decisions, and that they can build emotional and

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Speaker 1: psychological resilience. Because the only person who can ultimately manage

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Speaker 1: your life is you. So like, let's yes, let's do

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Speaker 1: all of these things, let's make decisions. But you know,

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Speaker 1: like I would want if I And of course this

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Speaker 1: is just an old white guy with no children, so

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Speaker 1: whatever it means, But I know a little bit about

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Speaker 1: human behavior. But if I had kids, I would want

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Speaker 1: them to come out the other side of their teenage

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Speaker 1: years as a really well prepared adult for life. So

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Speaker 1: I think there's a big emphasis on don't let them

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Speaker 1: do this, do let them do that, all of that,

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Speaker 1: but also how do we help them self regulate so

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Speaker 1: that we're not running the show and we're empowering them

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Speaker 1: as well.

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Speaker 2: My friends, I've got a great couple of friends who

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Speaker 2: live now near you, as you know, and they've got

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Speaker 2: two boys, young ones a young man now, the other

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Speaker 2: one's still about turn fifteen. But what's always impressed me

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Speaker 2: about them is they've never been shoved in the corner

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Speaker 2: while adults are present. What they do is encourage dialogue.

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Speaker 2: So we play board games, they sit at the table,

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Speaker 2: they join into the discussions, so there's no taboo subjects.

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Speaker 2: They're pretty open about whatever discussion happens to come up,

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Speaker 2: and they'll answer questions. And I think that approach leads

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Speaker 2: to a more worldly and sometimes we underestimate young people

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Speaker 2: the intellect, the sense for wanting to know and understand,

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Speaker 2: and so I think in a lot of ways, the

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Speaker 2: approach that individuals take, whether you happen to be a

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Speaker 2: parent or a grandparent or a friend of so always

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Speaker 2: being open to have discussion and so maybe that's the approach.

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Speaker 2: I'm going to change the topic a little bit, if

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Speaker 2: that's okay with you, because this is something that I

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Speaker 2: was really really wondering about. When you go to a shop,

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Speaker 2: do you ask for a receipt? You know they've got

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Speaker 2: the button sometimes receipt you ask? Do you get the receipt?

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Speaker 1: I no, I probably should say it depends on what

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Speaker 1: it is, but in general terms, no, Well.

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Speaker 2: That's interesting because generally the fact that you ask for

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Speaker 2: a receipt can sometimes work out whether you're a millennial

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Speaker 2: or you're older. Evidently, so really older people always ask

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Speaker 2: for receipts, and young people can't understand why we use receipts.

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Speaker 2: My caveat on that is if I'm getting anything that

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Speaker 2: I might potentially need to take back, and I have

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Speaker 2: an electronic version because you know, I do my JB

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Speaker 2: shop and I always get it sent to my phone

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Speaker 2: because we all remember remember the old I think they

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Speaker 2: still do that thermal paper where the receipt ends up

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Speaker 2: fading anyway, so there's not really much point to it.

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Speaker 1: Yeah, yeah, and then like one side was shiny.

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Speaker 2: Yeah, yeah, that's right. Yeah, And look, my bookkeeper always

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Speaker 2: gives me a hard time about not keeping receipts, but

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Speaker 2: I do the I just snap a photo of them

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Speaker 2: with quick books on my phone, and that way I

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Speaker 2: don't get in trouble every week, which I normally do

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Speaker 2: for spending stuff and buying stuff I shouldn't have. But

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Speaker 2: I thought it was interesting that you don't keep receipts.

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Speaker 2: But evidently gen Z generation Z doesn't have wallets or

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Speaker 2: time for paper. I mean that's true too. I mean

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Speaker 2: my wallet, I should admit this sits in my car

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Speaker 2: never ever ever is in my pack?

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Speaker 1: Could you not say that ship on a podcast?

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Speaker 2: Did I leave my work in my car? I do

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Speaker 2: lock my car most of the time.

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Speaker 1: Well, jeez, because nobody can get into a car ever,

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Speaker 1: so well, that's totally secure.

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Speaker 2: I don't even have to break a window. The other day,

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Speaker 2: I let the window open, got back after shopping at

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Speaker 2: the local supermarket and thought, well, yeah, I opened the window.

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Speaker 1: There's I don't yeah, I'm I'm I just paid for

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Speaker 1: everything through my phone, like I don't. I don't even

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Speaker 1: take money. I don't even take my wallet.

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Speaker 2: Yeah, and as you know, when we've gone out anywhere,

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Speaker 2: I use my watch. But it's interesting. I just was

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Speaker 2: curious as to whether or not you fell into that

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Speaker 2: category as an old fogie.

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Speaker 1: But well, I am probably, I'm probably. I don't know that,

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Speaker 1: you know. In some ways, I'm probably an old fogy. Probably.

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Speaker 1: Otherwise I'm a little bit atypical. You know, I could

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Speaker 1: literally be a granddad, which is fucking hilarious. Tell me

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Speaker 1: about neural link one of my favorite things in the

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Speaker 1: world of technology. I'm so fascinated with this thing and

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Speaker 1: what's going to happen with it over the next year

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Speaker 1: or ten.

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Speaker 2: Okay, one bloke's got it so far, and there's now

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Speaker 2: pushed to get two more people. So it's been given

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Speaker 2: FDA approval in the United States, the medical authority that

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Speaker 2: basically says you can do real life experimentation. I suppose. Now.

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Speaker 2: The thing is, what we need to understand is the

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Speaker 2: person who has had the implant has now been able

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Speaker 2: to they're totally incapacitated, and they're able to play video

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Speaker 2: games and do a whole lot of stuff on a

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Speaker 2: computer that they weren't able to previously. So it's given

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Speaker 2: them a level of freedom that they hadn't previously experienced.

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Speaker 2: And you know, we've spoken about this. I would hate

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Speaker 2: to have anything implanted in my head. However, that's all

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Speaker 2: a relative decision, because if you were trapped in your body,

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Speaker 2: you probably would. So the neural link now they're talking

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Speaker 2: about the next two people are potentially going to be

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Speaker 2: implanted with Elon Musk's chip. The only thing that would

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Speaker 2: worry me is that, I don't know. I don't know

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Speaker 2: if you know this, but there are certain features in

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Speaker 2: Tesla's that don't get turned on unless you pay a subscription,

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Speaker 2: So you know, could you imagine if and that's even

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Speaker 2: speed limiting I heard recently. Could you imagine if you bought,

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Speaker 2: you know, one of your great bikes that you've got,

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Speaker 2: if they said, oh, you buy subscription, it could go faster.

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Speaker 2: It's like, what's I mean, I own I paid for it,

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Speaker 2: now you want to make me unlock.

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Speaker 1: That's what scares me about about Essentially, cars that are

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Speaker 1: a computer on air on wheels, and you think about

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Speaker 1: the fact that they can literally from from wherever in

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Speaker 1: the world, they can program your car to do different stuff,

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Speaker 1: to have more power, to to be able to access

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Speaker 1: different features or whatever. Well, if they can do that,

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Speaker 1: surely they can make the brakes not work or somebody.

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Speaker 1: You know, it's like, obviously Tesla wouldn't do that, but

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Speaker 1: but imagine if somebody like things get hacked all the time.

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Speaker 1: And I just I just I am. I'm not as

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Speaker 1: optimistic about the cars. And I love cars on my

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Speaker 1: car head, but I'm not as optimistic about all the

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Speaker 1: technology that's happening in cars right now, even EV's. I

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Speaker 1: think theoretically electronic electric vehicles are a good idea, but

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Speaker 1: I don't know that practically that's going to work out.

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Speaker 1: We know that EV price is secondhand prices are plummeting

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Speaker 1: and second hand and new sales are dropping. I don't know.

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Speaker 1: There's something to be said for like a basic car

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Speaker 1: that runs well, that doesn't that isn't completely technologically dependent.

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Speaker 1: I don't know. I don't know. It just makes me

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Speaker 1: a little nervous.

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Speaker 2: Imagine that you never have to go to a petrol

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Speaker 2: station ever again, that you get in your car and

431
00:23:48,240 --> 00:23:51,480
Speaker 2: it's fully charged, You drive off, get home, plug it

432
00:23:51,520 --> 00:23:53,280
Speaker 2: back in again, and it's ready to go again.

433
00:23:53,880 --> 00:23:56,800
Speaker 1: But imagine imagine I'm driving to Ron and Mary's and

434
00:23:56,840 --> 00:24:01,160
Speaker 1: I run out and there's no EV station like this

435
00:24:01,240 --> 00:24:03,119
Speaker 1: is I mean, this is happening to a lot of

436
00:24:03,160 --> 00:24:08,439
Speaker 1: people because there's there's the limitation of they can't and

437
00:24:08,480 --> 00:24:10,320
Speaker 1: then when you've got to charge, you've got to wait

438
00:24:10,440 --> 00:24:15,040
Speaker 1: minimum forty five minutes for it to charge. So I

439
00:24:15,119 --> 00:24:18,640
Speaker 1: know what you're saying, but it's not all that positive,

440
00:24:18,720 --> 00:24:22,600
Speaker 1: and you're very pro ev and I understand it, and

441
00:24:22,680 --> 00:24:25,840
Speaker 1: I'm not pro ORAENTTI. I'm just I'm like, I'm interested

442
00:24:25,880 --> 00:24:29,880
Speaker 1: in the reality of Look, I could be completely wrong.

443
00:24:29,880 --> 00:24:31,840
Speaker 1: I'm going to go on the record, I don't think

444
00:24:32,320 --> 00:24:34,120
Speaker 1: electric vehicles are going to take.

445
00:24:33,960 --> 00:24:38,720
Speaker 2: Off, all right, I respond to that, now, go okay.

446
00:24:38,760 --> 00:24:41,399
Speaker 2: First thing is, if you're planning to go and visit

447
00:24:41,720 --> 00:24:44,960
Speaker 2: your folks and you had an electric vehicle, you would

448
00:24:45,040 --> 00:24:47,800
Speaker 2: be able to instantly know what the range is and

449
00:24:47,840 --> 00:24:51,120
Speaker 2: how many charging stations there are between there. So cars

450
00:24:51,160 --> 00:24:52,800
Speaker 2: are now smart enough to know whether you've got the

451
00:24:52,880 --> 00:24:54,760
Speaker 2: range to get there, and if you don't have the range,

452
00:24:54,960 --> 00:24:57,840
Speaker 2: where you can get to and then charge up accordingly.

453
00:24:57,920 --> 00:25:00,199
Speaker 2: So it is planned around it to have brunch or

454
00:25:00,320 --> 00:25:03,439
Speaker 2: a lunch or something on the way there, but.

455
00:25:03,320 --> 00:25:04,920
Speaker 1: Not if you don't want to have brunch or lunch.

456
00:25:05,000 --> 00:25:07,160
Speaker 1: Like you go, oh wow, I can fill up at Warrigal,

457
00:25:07,160 --> 00:25:10,960
Speaker 1: but it's fucking an hour to fill up. Like I

458
00:25:11,000 --> 00:25:13,640
Speaker 1: know you're trying to do the sales pitch. I get it.

459
00:25:14,720 --> 00:25:18,560
Speaker 1: But also it doesn't know the exact driving range because

460
00:25:18,560 --> 00:25:20,879
Speaker 1: there are so many variables. How many people are in

461
00:25:20,880 --> 00:25:26,240
Speaker 1: the car, the weight of the passengers affects the range,

462
00:25:26,240 --> 00:25:30,920
Speaker 1: how fast you drive affects the range. It's not perfect technology,

463
00:25:30,960 --> 00:25:34,960
Speaker 1: that's for sure. But I think they're you know, I

464
00:25:35,000 --> 00:25:37,920
Speaker 1: think there's a case for them. I'm not anti them

465
00:25:37,960 --> 00:25:42,800
Speaker 1: at all. In fact, the idea excites me. But I

466
00:25:42,840 --> 00:25:47,600
Speaker 1: think there's so many natural resources that are actually being

467
00:25:47,760 --> 00:25:52,040
Speaker 1: used in production it's almost ironic. And we've even got

468
00:25:52,119 --> 00:25:57,080
Speaker 1: electric charging stations in remote areas that are being fueled

469
00:25:57,119 --> 00:26:01,280
Speaker 1: by diesel generators, which is the fucking height of irony.

470
00:26:01,359 --> 00:26:03,879
Speaker 1: And it's not a few, it's it's a lot. So

471
00:26:05,119 --> 00:26:07,240
Speaker 1: is it? Look, I could be wrong, and if I'm wrong,

472
00:26:07,240 --> 00:26:09,520
Speaker 1: I'll be the first to go I'm wrong, But I

473
00:26:10,160 --> 00:26:13,159
Speaker 1: don't think. I don't think e these are the magic

474
00:26:13,240 --> 00:26:14,840
Speaker 1: pill that we think they might be.

475
00:26:15,280 --> 00:26:19,000
Speaker 2: Yeah, so you know how I said, I have two points? Yeah, Okay, cold,

476
00:26:19,000 --> 00:26:20,000
Speaker 2: I say my second.

477
00:26:19,680 --> 00:26:26,840
Speaker 1: One, No, you and your two points? All right?

478
00:26:28,280 --> 00:26:31,399
Speaker 2: You did you actually rightly mentioned that the uptake of

479
00:26:31,400 --> 00:26:35,200
Speaker 2: electric vehicles and we're just saying Australia is an ecosystem

480
00:26:35,520 --> 00:26:37,639
Speaker 2: has been a little bit slow, so they you know,

481
00:26:37,640 --> 00:26:41,280
Speaker 2: there was this initial burst and that's been fairly consistent.

482
00:26:41,640 --> 00:26:44,199
Speaker 2: But I think that the limiting factor has been the

483
00:26:44,400 --> 00:26:48,440
Speaker 2: entry level price. And you know, I have come out

484
00:26:48,440 --> 00:26:50,800
Speaker 2: and said many times that I couldn't afford an electric

485
00:26:50,840 --> 00:26:53,600
Speaker 2: car when I needed a car just after COVID, so

486
00:26:53,680 --> 00:26:56,560
Speaker 2: I didn't get we've got a hybrid instead. However, that's said,

487
00:26:57,000 --> 00:27:00,080
Speaker 2: we are soon going to see a big flood of

488
00:27:00,160 --> 00:27:04,120
Speaker 2: electric Chinese cars hitting the market, which will be under

489
00:27:04,160 --> 00:27:07,679
Speaker 2: forty thousand dollars. And I think that may be the

490
00:27:07,720 --> 00:27:11,520
Speaker 2: additional hurdle because you know, you're right, going from where

491
00:27:11,600 --> 00:27:15,199
Speaker 2: you live and doing long distance tripping can be problematic,

492
00:27:15,280 --> 00:27:19,480
Speaker 2: but if you could drive just in a city, electric

493
00:27:19,600 --> 00:27:22,560
Speaker 2: vehicles are fantastic. Think of the reduction in pollution. And

494
00:27:22,840 --> 00:27:26,280
Speaker 2: there are some really great little cars. There's an amazing

495
00:27:26,320 --> 00:27:28,760
Speaker 2: car that Reno put out which was termed as a

496
00:27:28,800 --> 00:27:31,600
Speaker 2: buggy and not allowed in Australia. It was a one

497
00:27:31,720 --> 00:27:34,879
Speaker 2: seater and it had goal wing doors. This is like

498
00:27:35,000 --> 00:27:39,600
Speaker 2: the ultimate mrdy little electric car. Maximum speed maybe fifty clicks.

499
00:27:40,040 --> 00:27:42,479
Speaker 2: If I could have bought one for I think it

500
00:27:42,520 --> 00:27:45,760
Speaker 2: was maybe fifteen grand I would be driving that around

501
00:27:45,760 --> 00:27:48,080
Speaker 2: my little town and doing my shopping and put Fritzy

502
00:27:48,119 --> 00:27:50,040
Speaker 2: on my lap and we'd just be driving around, pottering

503
00:27:50,040 --> 00:27:52,960
Speaker 2: around in my little electric vehicle. I saw it in

504
00:27:52,960 --> 00:27:54,959
Speaker 2: Europe when I was over there in Malta, and it's like,

505
00:27:55,040 --> 00:27:58,080
Speaker 2: I love this car. It was so cool. But Reno

506
00:27:58,240 --> 00:28:00,520
Speaker 2: weren't allowed to bring it into Australia because it was

507
00:28:00,520 --> 00:28:03,680
Speaker 2: classified as a buggy, not as a car. And that's

508
00:28:03,720 --> 00:28:05,680
Speaker 2: why this little electric vehicle, it may have had a

509
00:28:05,800 --> 00:28:07,880
Speaker 2: range of maybe one hundred and twenty k's not far

510
00:28:08,119 --> 00:28:10,680
Speaker 2: and you wouldn't put on a highway. But what a great

511
00:28:10,720 --> 00:28:13,720
Speaker 2: little vehicle just to be you whizzing around And if

512
00:28:13,720 --> 00:28:16,679
Speaker 2: you think about where you live parking, you park straight

513
00:28:16,720 --> 00:28:19,800
Speaker 2: into the right into the curb because the car is

514
00:28:19,840 --> 00:28:23,879
Speaker 2: so small, it's it's as long as a standard car

515
00:28:23,960 --> 00:28:27,560
Speaker 2: is wide, so you know, you would have many more

516
00:28:27,640 --> 00:28:31,040
Speaker 2: parking spaces, potentially two to three more parking spaces per

517
00:28:31,119 --> 00:28:36,120
Speaker 2: parking space, and for zipping around in suburbia. They'd be fantastic.

518
00:28:36,680 --> 00:28:39,560
Speaker 1: You know what, it'd be better a scooter that you

519
00:28:39,640 --> 00:28:42,600
Speaker 1: park on the footpath out of everyone's.

520
00:28:42,080 --> 00:28:43,840
Speaker 2: Way, which I have, which I have.

521
00:28:44,680 --> 00:28:45,760
Speaker 1: No you have a scooter.

522
00:28:45,840 --> 00:28:46,440
Speaker 2: No you don't have it.

523
00:28:46,520 --> 00:28:51,240
Speaker 1: You are a toy. That's not a scooter. That's a

524
00:28:51,440 --> 00:28:54,600
Speaker 1: fucking that's something from kmart. That's seven year olds.

525
00:28:54,680 --> 00:29:00,920
Speaker 2: Rightlome is an hour downhill with the hell what do

526
00:29:00,960 --> 00:29:02,960
Speaker 2: you get in the fucking the race position?

527
00:29:03,080 --> 00:29:06,680
Speaker 1: Do you flextionr these? Get your head down behind the handlebars.

528
00:29:06,880 --> 00:29:12,040
Speaker 2: I bought a new helmet the other day. Well, it's black,

529
00:29:12,200 --> 00:29:14,360
Speaker 2: it's kind of it's kind of gun metal gray. It

530
00:29:14,400 --> 00:29:16,960
Speaker 2: looks a bit cool, and it's got the fate. Yeah,

531
00:29:17,000 --> 00:29:17,800
Speaker 2: you know I'm not gonna win you.

532
00:29:17,960 --> 00:29:20,560
Speaker 1: It looks a bit cool. He's the guy who rides

533
00:29:20,560 --> 00:29:22,160
Speaker 1: a scooter that goes twenty segway.

534
00:29:22,240 --> 00:29:25,520
Speaker 2: Scooter that folds down flat. It's pretty. It's got lights

535
00:29:25,560 --> 00:29:27,480
Speaker 2: on it. I can make it flash lights as well.

536
00:29:28,120 --> 00:29:30,800
Speaker 1: I've done. By the way, you can't drive with a

537
00:29:30,880 --> 00:29:33,960
Speaker 1: dog on your lap. It's illegal. You're welcome, all right.

538
00:29:34,000 --> 00:29:36,200
Speaker 1: So you're very excited about a new gadget, which is

539
00:29:36,200 --> 00:29:39,400
Speaker 1: not uncommon for you because you get easily excited about gadgets,

540
00:29:39,400 --> 00:29:40,280
Speaker 1: But what is it?

541
00:29:40,840 --> 00:29:42,560
Speaker 2: AI headphones?

542
00:29:44,240 --> 00:29:45,280
Speaker 1: What does that even mean?

543
00:29:45,480 --> 00:29:48,400
Speaker 2: Okay, you've got noise canceling headphones, haven't you?

544
00:29:48,920 --> 00:29:49,280
Speaker 1: I do?

545
00:29:49,640 --> 00:29:53,080
Speaker 2: Okay, So noise canceling headphones are fantastic. I wear them

546
00:29:53,120 --> 00:29:57,120
Speaker 2: on public transport and flying because they can listen to

547
00:29:57,160 --> 00:30:00,480
Speaker 2: a sound and wipe out a consistent sound, so an noise,

548
00:30:00,680 --> 00:30:05,040
Speaker 2: which means you get a much better trip. Whereas these

549
00:30:05,200 --> 00:30:08,720
Speaker 2: new noise canceling headphones are out of sight. These are amazing.

550
00:30:08,960 --> 00:30:11,640
Speaker 2: If you can imagine putting on noise canceling headphones, being

551
00:30:11,680 --> 00:30:14,520
Speaker 2: in a crowded room and I look at you for

552
00:30:14,600 --> 00:30:17,840
Speaker 2: three or four seconds, the AI built into the noise

553
00:30:17,880 --> 00:30:21,560
Speaker 2: canceling system will wipe out all the other voices, all

554
00:30:21,600 --> 00:30:25,880
Speaker 2: the other noises except your voice, and even if you

555
00:30:26,000 --> 00:30:29,560
Speaker 2: walk around, it will still continue to listen to just

556
00:30:29,760 --> 00:30:32,880
Speaker 2: your voice. So particularly, I've got a good friend of

557
00:30:32,920 --> 00:30:36,440
Speaker 2: mine who has hearing problems. They had an infection and

558
00:30:36,480 --> 00:30:39,640
Speaker 2: an illness and was similar to tenatus. And admit that

559
00:30:39,680 --> 00:30:43,000
Speaker 2: he's now very socially isolated if in large groups, and

560
00:30:43,040 --> 00:30:46,040
Speaker 2: we've had this discussion. He doesn't even have big birthday parties.

561
00:30:46,280 --> 00:30:49,120
Speaker 2: Generally it's small gathering because he just can't cope with

562
00:30:49,160 --> 00:30:53,040
Speaker 2: all these voices. So these headphones that they're they're developing

563
00:30:53,080 --> 00:30:56,600
Speaker 2: at the University of Washington, so researchers are currently working

564
00:30:56,600 --> 00:31:00,560
Speaker 2: on these. They're an adaptive noise canceling so you can

565
00:31:00,640 --> 00:31:03,720
Speaker 2: isolate a single person that you're having a conversation with

566
00:31:03,800 --> 00:31:06,720
Speaker 2: in a room and cancel every other sound out. That

567
00:31:06,840 --> 00:31:09,880
Speaker 2: to me is fantastic. Isn't that? That's so cool?

568
00:31:10,480 --> 00:31:11,920
Speaker 1: How's your memory, Grandpa?

569
00:31:12,720 --> 00:31:13,360
Speaker 2: Yeah?

570
00:31:13,480 --> 00:31:16,240
Speaker 1: Was that I spoke to you about this last episode?

571
00:31:16,640 --> 00:31:17,320
Speaker 2: Did you really?

572
00:31:17,800 --> 00:31:21,280
Speaker 1: Yeah? I told you, Yeah, I told you. I just

573
00:31:21,360 --> 00:31:25,280
Speaker 1: watched a video. There was a dude and he was

574
00:31:25,320 --> 00:31:28,520
Speaker 1: sitting at a table and everyone was talking and it

575
00:31:28,640 --> 00:31:32,000
Speaker 1: was crazy, and then he was talking to another guy.

576
00:31:32,080 --> 00:31:34,120
Speaker 1: Then all of the other noise drowned out and you

577
00:31:34,160 --> 00:31:37,200
Speaker 1: could just hear his voice. So thanks for repeating that

578
00:31:37,280 --> 00:31:39,800
Speaker 1: story that I broke last time. You're welcome.

579
00:31:39,920 --> 00:31:43,040
Speaker 2: Oh geez, I really pay attention to you, don't I.

580
00:31:43,080 --> 00:31:47,200
Speaker 1: You really should. But having said that, it is it

581
00:31:47,280 --> 00:31:51,000
Speaker 1: is a really good idea. And I mean, imagine that's

582
00:31:51,000 --> 00:31:55,000
Speaker 1: one of my things. I just, you know, old person alert.

583
00:31:56,360 --> 00:31:59,400
Speaker 1: But yeah, being in really you know where you know,

584
00:31:59,400 --> 00:32:01,720
Speaker 1: We're in unim environment and a million people are talking,

585
00:32:01,760 --> 00:32:04,000
Speaker 1: which is not good or bad. But then trying to

586
00:32:04,040 --> 00:32:07,240
Speaker 1: actually have a meaningful dialogue with somebody where you're essentially

587
00:32:07,240 --> 00:32:10,120
Speaker 1: got to yell into their ear to it's not really

588
00:32:10,120 --> 00:32:13,440
Speaker 1: optimal for me, but being able to. But are these

589
00:32:13,480 --> 00:32:16,640
Speaker 1: actual headphones that you are they you've got to wear

590
00:32:16,800 --> 00:32:20,680
Speaker 1: over your ears or are they ones that you stick

591
00:32:20,720 --> 00:32:21,160
Speaker 1: in your ear?

592
00:32:21,680 --> 00:32:24,160
Speaker 2: They're still developing them, and I guess there's also the

593
00:32:24,160 --> 00:32:29,240
Speaker 2: bone conducting ones as well. Because noise cancelation is just

594
00:32:29,280 --> 00:32:32,640
Speaker 2: a negative wave, isn't it. So what happens is when

595
00:32:32,720 --> 00:32:35,760
Speaker 2: you put the headphones on, if you've got a consistent frequency,

596
00:32:36,240 --> 00:32:39,080
Speaker 2: they then invert that frequency and it cancels it out

597
00:32:39,560 --> 00:32:42,680
Speaker 2: so effectively. If it can do that, it wouldn't Why

598
00:32:42,720 --> 00:32:45,360
Speaker 2: if you just put your headphones on, are you blocking

599
00:32:45,400 --> 00:32:45,720
Speaker 2: me out?

600
00:32:46,040 --> 00:32:48,480
Speaker 1: I just put on the noise canceling My god, that

601
00:32:48,560 --> 00:32:53,680
Speaker 1: is so rude. Do you know when I put on

602
00:32:53,800 --> 00:32:56,120
Speaker 1: I have Sony I think they're called one thousand W

603
00:32:56,480 --> 00:32:58,440
Speaker 1: X or X. You know they're really good?

604
00:32:58,600 --> 00:33:02,160
Speaker 2: Break dad, I press the button.

605
00:33:02,240 --> 00:33:05,120
Speaker 1: Yeah, I press the button and the lady goes noise

606
00:33:05,200 --> 00:33:09,280
Speaker 1: canceling on and all of a sudden the room just

607
00:33:09,480 --> 00:33:12,160
Speaker 1: like it's like now I'm in a vacuum. It's so

608
00:33:12,360 --> 00:33:13,480
Speaker 1: fucking effective that.

609
00:33:14,040 --> 00:33:16,920
Speaker 2: Yeah, noise cancelation's really cool. So in answer to your question,

610
00:33:17,000 --> 00:33:18,480
Speaker 2: I don't know that they've got to the point where

611
00:33:18,800 --> 00:33:22,200
Speaker 2: I mean headphones as opposed to earbuds infer that they

612
00:33:22,200 --> 00:33:25,880
Speaker 2: go over your ears. So, but you can get inner

613
00:33:25,920 --> 00:33:28,960
Speaker 2: ear noise canceling headphones as well. And I guess if

614
00:33:29,000 --> 00:33:30,880
Speaker 2: you're going to be in a social setting, you do

615
00:33:31,080 --> 00:33:33,480
Speaker 2: want to be able to be as subtle as possible

616
00:33:33,560 --> 00:33:36,080
Speaker 2: rather than you know, the old chunky headphones. But have

617
00:33:36,200 --> 00:33:39,800
Speaker 2: you noticed kids are wearing them down the street now more? Yes,

618
00:33:39,880 --> 00:33:42,640
Speaker 2: over ear headphones have become really popular that you know that.

619
00:33:42,680 --> 00:33:45,160
Speaker 2: I've got this a teenager who works for me, who

620
00:33:45,240 --> 00:33:48,840
Speaker 2: works after schools sixteen, and he walks in. He's got

621
00:33:48,920 --> 00:33:52,000
Speaker 2: his headphones on. Hi, how you doing? Yeah? Hi, sits down,

622
00:33:52,080 --> 00:33:53,680
Speaker 2: does his work with his headphones on?

623
00:33:54,520 --> 00:33:57,920
Speaker 1: Yeah, it's well. At the gym, it's it's like it's

624
00:33:57,960 --> 00:34:00,280
Speaker 1: the thing like if you are in the gym, or

625
00:34:00,920 --> 00:34:04,920
Speaker 1: if you're in the gym where I train at four thirty,

626
00:34:06,160 --> 00:34:08,680
Speaker 1: you will be the odd one out if you're not

627
00:34:08,719 --> 00:34:11,959
Speaker 1: wearing over ear headphones. If there's twenty people in there,

628
00:34:12,840 --> 00:34:16,160
Speaker 1: seventeen people have got headphones. If they're not on their head,

629
00:34:16,160 --> 00:34:17,200
Speaker 1: they're around their neck.

630
00:34:17,719 --> 00:34:20,200
Speaker 2: How do you train with headphones on? A You'll get

631
00:34:20,200 --> 00:34:23,239
Speaker 2: sweaty and that would be really uncomfortable. And B it's

632
00:34:23,320 --> 00:34:25,920
Speaker 2: impractical if you're doing you know, any of the exos.

633
00:34:26,120 --> 00:34:26,960
Speaker 2: I don't understand.

634
00:34:27,200 --> 00:34:30,000
Speaker 1: I can't, man, man, it's all they do. Like there's

635
00:34:30,040 --> 00:34:33,680
Speaker 1: young dudes who are doing you know, squats, deadlifts, chins,

636
00:34:33,840 --> 00:34:37,319
Speaker 1: like all of it. And they, in fact, they I

637
00:34:37,360 --> 00:34:40,120
Speaker 1: think they train better with them on. It's like they

638
00:34:40,239 --> 00:34:44,640
Speaker 1: almost can't train unless they have How about something blaring.

639
00:34:44,520 --> 00:34:46,799
Speaker 2: Watch out the smith Machine's falling on you.

640
00:34:49,840 --> 00:34:53,000
Speaker 1: Yeah, yeah, I mean, and that's one.

641
00:34:52,880 --> 00:34:56,560
Speaker 2: Of the fact surely that is dangerous as well.

642
00:34:57,120 --> 00:35:00,120
Speaker 1: I think we should call our episodes grumpy old pricks

643
00:35:00,120 --> 00:35:04,439
Speaker 1: like just. But it's like it is sometimes frustrating when

644
00:35:04,440 --> 00:35:09,120
Speaker 1: someone's well. One of the consequences, potential consequences and very

645
00:35:09,200 --> 00:35:15,160
Speaker 1: common consequences in a gym, usually young dudes banging weights

646
00:35:15,200 --> 00:35:19,680
Speaker 1: like a fucking cyclone, like just, and they don't know

647
00:35:20,480 --> 00:35:24,280
Speaker 1: because they've either got noise canceling and or loud music

648
00:35:25,160 --> 00:35:28,000
Speaker 1: so they can't hear the noise that they're making in

649
00:35:28,040 --> 00:35:32,040
Speaker 1: the gym, and when you go over and politely suggest

650
00:35:32,160 --> 00:35:34,960
Speaker 1: that they don't drop or bang weights or make they

651
00:35:34,960 --> 00:35:39,360
Speaker 1: look at you quizzically like what. But then, you know,

652
00:35:39,920 --> 00:35:42,680
Speaker 1: old old grumpy guy in the gym, Maybe I should

653
00:35:42,800 --> 00:35:45,800
Speaker 1: just put on noise canceling headphones and then I can't

654
00:35:45,800 --> 00:35:46,600
Speaker 1: talk to the crab.

655
00:35:47,200 --> 00:35:50,400
Speaker 2: Yeah, well, you know, remember the good old days when

656
00:35:50,600 --> 00:35:53,759
Speaker 2: astronauts met cats on the moon and played with them

657
00:35:53,800 --> 00:35:56,759
Speaker 2: and provided care to them. Do you remember that? Do

658
00:35:56,800 --> 00:35:58,680
Speaker 2: you remember that when the cats went to the moon

659
00:35:58,760 --> 00:36:00,000
Speaker 2: and it helped us.

660
00:36:00,320 --> 00:36:01,960
Speaker 1: I don't know how you got there from what I

661
00:36:02,000 --> 00:36:04,520
Speaker 1: was talking about, But why what are you talking about?

662
00:36:04,520 --> 00:36:06,759
Speaker 2: It's about the good old days, you know, when you

663
00:36:06,800 --> 00:36:11,040
Speaker 2: didn't overhear earheadphones at the gym and cats went to

664
00:36:11,080 --> 00:36:16,360
Speaker 2: the moon. So Google's AI has been criticized in the past,

665
00:36:16,719 --> 00:36:19,920
Speaker 2: right because they're trying to incorporate Google AI into their

666
00:36:19,960 --> 00:36:24,480
Speaker 2: search algorithm, which means you use AI and at summarizes information. However,

667
00:36:24,880 --> 00:36:27,760
Speaker 2: it's pulled up. Well, initially they got in trouble because

668
00:36:27,920 --> 00:36:30,520
Speaker 2: people were typing in Nazis and they had people of

669
00:36:30,560 --> 00:36:33,800
Speaker 2: color and Asian people wearing you know, Nazi uniforms and

670
00:36:34,080 --> 00:36:38,200
Speaker 2: it went one way. So visually it was just crazy,

671
00:36:38,320 --> 00:36:41,920
Speaker 2: you know, vikings that had really good hands. And now

672
00:36:42,120 --> 00:36:44,680
Speaker 2: they've done some searches and they found that the AI

673
00:36:44,800 --> 00:36:48,520
Speaker 2: picked up things like you know, Neil Armstrong said one

674
00:36:48,560 --> 00:36:51,320
Speaker 2: small step for man because it was a cat size

675
00:36:51,360 --> 00:36:54,920
Speaker 2: step and buzz Aldron also deployed cats on the Apollo

676
00:36:54,920 --> 00:36:58,520
Speaker 2: eleven miss mission. So because there's so much stuff about

677
00:36:58,520 --> 00:37:02,200
Speaker 2: cats on the Internet, somehow the AI algorithm has picked

678
00:37:02,280 --> 00:37:06,640
Speaker 2: up this connection between the moon landings and ma and cats.

679
00:37:07,080 --> 00:37:11,479
Speaker 2: And what's problematic is that there are lots of errors

680
00:37:11,520 --> 00:37:16,399
Speaker 2: coming up with this search algorithm, so it's generating flawed responses.

681
00:37:16,560 --> 00:37:19,520
Speaker 2: And that's really been a big criticism because you know,

682
00:37:19,560 --> 00:37:22,919
Speaker 2: obviously we we've got to a point where we take

683
00:37:22,960 --> 00:37:26,080
Speaker 2: a lot of for granted, you know, doctor Google, if

684
00:37:26,080 --> 00:37:29,160
Speaker 2: we've got a concern. I mean, I would probably be

685
00:37:29,239 --> 00:37:31,160
Speaker 2: more inclined if I had a I don't know, a

686
00:37:31,200 --> 00:37:33,319
Speaker 2: skin condition and I jumped online and I wanted to

687
00:37:33,320 --> 00:37:35,319
Speaker 2: find out what it was. I would look at those

688
00:37:35,360 --> 00:37:38,040
Speaker 2: results and say, oh, yeah, Mayo clinic. I probably think

689
00:37:38,080 --> 00:37:41,279
Speaker 2: that would be okay. Well, a government service, you know,

690
00:37:41,320 --> 00:37:42,759
Speaker 2: I look at the u UR l I look at

691
00:37:42,760 --> 00:37:45,680
Speaker 2: the website. But you know, another example is that what

692
00:37:46,000 --> 00:37:48,880
Speaker 2: an eerror recently that got pulled up by this AI

693
00:37:49,000 --> 00:37:52,960
Speaker 2: search function was put glue on a pizza like and

694
00:37:53,040 --> 00:37:57,200
Speaker 2: that you know, there was I think it was asked

695
00:37:57,560 --> 00:38:01,640
Speaker 2: how many presidents of the United States were Muslim and

696
00:38:01,719 --> 00:38:06,120
Speaker 2: it came up with Barack Obama. So that's wrong and

697
00:38:06,160 --> 00:38:10,359
Speaker 2: we know it's wrong. So this misinformation is really kind

698
00:38:10,400 --> 00:38:14,600
Speaker 2: of broading the trust in a search engine that we've

699
00:38:14,719 --> 00:38:17,759
Speaker 2: invested a lot of faith in. Well, think about it,

700
00:38:17,880 --> 00:38:19,240
Speaker 2: the term googling something.

701
00:38:19,960 --> 00:38:23,719
Speaker 1: Well, also, when you don't know when you you know,

702
00:38:23,920 --> 00:38:26,920
Speaker 1: when you don't know that it's wrong, but it sounds like,

703
00:38:26,960 --> 00:38:29,600
Speaker 1: oh that reads well and it's from the Mayo whatever,

704
00:38:29,680 --> 00:38:32,960
Speaker 1: or it's from a Harvard Medical review or but it's not.

705
00:38:33,680 --> 00:38:35,839
Speaker 1: It's not though, and you don't know that. And then

706
00:38:35,880 --> 00:38:39,840
Speaker 1: all of a sudden that becomes you're in inverted Comma's truth.

707
00:38:40,400 --> 00:38:43,080
Speaker 1: Now you're evangelizing that, Oh, I guess what, but this

708
00:38:43,280 --> 00:38:46,200
Speaker 1: is how that works, and then you're actually saying something

709
00:38:46,239 --> 00:38:51,640
Speaker 1: that it is flawed or you know, improbable at the

710
00:38:51,800 --> 00:38:56,560
Speaker 1: very least. I mean, and that's I asked chat GPT,

711
00:38:56,800 --> 00:38:58,719
Speaker 1: I've got the four point zero the burger with the

712
00:38:58,760 --> 00:39:02,880
Speaker 1: lot to does me a logo? I just wanted to

713
00:39:02,920 --> 00:39:05,120
Speaker 1: see what it would come up with. The other day,

714
00:39:05,440 --> 00:39:07,320
Speaker 1: I don't have a logo, I don't need a logo,

715
00:39:07,880 --> 00:39:12,600
Speaker 1: but I just went, designed me a logo with my

716
00:39:12,760 --> 00:39:19,279
Speaker 1: name Craig Harper, and you know, basically, I'm going to

717
00:39:19,440 --> 00:39:22,160
Speaker 1: I'm going to be working as a neuropsychologist, which I'm not,

718
00:39:22,400 --> 00:39:24,200
Speaker 1: by the way, but I just wanted to see, you know,

719
00:39:24,280 --> 00:39:27,279
Speaker 1: so I thought, brain mind, so it designs this thing,

720
00:39:27,680 --> 00:39:33,200
Speaker 1: and it misspelled my name, so Craig Harper's it left

721
00:39:33,200 --> 00:39:37,640
Speaker 1: out the eye so it had Crag Harper. I'm like yeah,

722
00:39:37,760 --> 00:39:40,960
Speaker 1: and and then I went then I typed it in

723
00:39:41,280 --> 00:39:44,600
Speaker 1: again you misspelled my name, and then it got the

724
00:39:44,680 --> 00:39:48,640
Speaker 1: Craig right and fucked something else up. Like it is.

725
00:39:49,280 --> 00:39:52,400
Speaker 1: These are far from perfect tools, and I think the

726
00:39:52,480 --> 00:39:56,000
Speaker 1: problem is when you're dealing with something that you know.

727
00:39:56,040 --> 00:40:00,400
Speaker 1: It's like like the amount of pseudo experts. I'm not

728
00:40:00,440 --> 00:40:03,960
Speaker 1: an expert by any on any kind of level, but

729
00:40:04,160 --> 00:40:08,360
Speaker 1: who come out and say things that sounds scientifically valid

730
00:40:09,280 --> 00:40:12,640
Speaker 1: and they're convincing, and they use terminology and people go, oh,

731
00:40:12,640 --> 00:40:14,760
Speaker 1: I guess what if you do this, then that happens

732
00:40:16,120 --> 00:40:19,480
Speaker 1: maybe maybe not, you know, like I think that's the

733
00:40:19,640 --> 00:40:23,200
Speaker 1: danger or one of the dangers of getting all of

734
00:40:23,239 --> 00:40:26,399
Speaker 1: your information on the internet. Which is even why even

735
00:40:26,400 --> 00:40:29,399
Speaker 1: when I have actual experts on the show that I'm

736
00:40:29,440 --> 00:40:34,080
Speaker 1: not sure not, oh you kind of are you know,

737
00:40:34,160 --> 00:40:35,840
Speaker 1: when we have like I have someone who's got a

738
00:40:35,840 --> 00:40:39,040
Speaker 1: fucking doctorate in this or that and we're talking about,

739
00:40:39,200 --> 00:40:45,240
Speaker 1: you know, something that is really a multi dimensional, complicated topic.

740
00:40:46,200 --> 00:40:49,319
Speaker 1: I never I mean I always tell people this is

741
00:40:49,360 --> 00:40:53,319
Speaker 1: not advice. This is not a personal prescription, This is

742
00:40:53,440 --> 00:40:56,840
Speaker 1: not a recommendation. This is too even you and me,

743
00:40:56,920 --> 00:41:00,520
Speaker 1: it's two blokes talking about stuff. Don't can use that

744
00:41:00,760 --> 00:41:05,160
Speaker 1: with individual advice. You know, if we bring up something

745
00:41:05,200 --> 00:41:09,239
Speaker 1: that kind of resonates and it might be something that

746
00:41:09,360 --> 00:41:11,959
Speaker 1: is an important topic for you, then go and see

747
00:41:12,000 --> 00:41:15,640
Speaker 1: the relevant person and then make decisions off the back

748
00:41:15,680 --> 00:41:19,080
Speaker 1: of that. You know. That's why. And I think, well,

749
00:41:19,120 --> 00:41:22,600
Speaker 1: we're fifteen hundred and nearly fifteen hundred and fifty episodes

750
00:41:22,600 --> 00:41:28,239
Speaker 1: in how many things have I got wrong? Thousands? You know,

751
00:41:28,840 --> 00:41:32,319
Speaker 1: because I'm human and normal, you know, so yeah, you

752
00:41:32,400 --> 00:41:36,520
Speaker 1: got to you got to expose yourself to whatever you want.

753
00:41:36,560 --> 00:41:38,080
Speaker 1: But think critically.

754
00:41:38,719 --> 00:41:42,520
Speaker 2: Yeah, this recent this AI researcher from Santa Fe Institute

755
00:41:42,560 --> 00:41:44,880
Speaker 2: in New Mexico by the name of Melandy Mitchell. She

756
00:41:44,880 --> 00:41:48,759
Speaker 2: she explained it really succinctly. She said, what's happening is

757
00:41:49,239 --> 00:41:53,120
Speaker 2: that Google's AI isn't smart enough to figure out the

758
00:41:53,160 --> 00:41:58,279
Speaker 2: difference between a citation and actual research. So if there's

759
00:41:58,280 --> 00:42:01,040
Speaker 2: a citation and a reference to something, it doesn't necessarily

760
00:42:01,080 --> 00:42:05,000
Speaker 2: mean that's true or factual or accurate. So, you know,

761
00:42:05,040 --> 00:42:08,239
Speaker 2: if you've written a paper and there've been claims, you

762
00:42:08,280 --> 00:42:11,880
Speaker 2: know it's remember the Mandala effect. You've heard the Mandala effect.

763
00:42:12,320 --> 00:42:13,440
Speaker 1: I've heard of it. What is it?

764
00:42:13,760 --> 00:42:17,920
Speaker 2: So effectively? You ask someone, do you remember when Nelson

765
00:42:17,960 --> 00:42:20,879
Speaker 2: Mandela died in prison? And people say, yeah, that's right,

766
00:42:20,920 --> 00:42:22,560
Speaker 2: he died in prison. Well, he didn't die in prison,

767
00:42:23,400 --> 00:42:26,960
Speaker 2: was the president and you know of South Africa. So

768
00:42:27,360 --> 00:42:30,560
Speaker 2: but it was the phrase was coined as the Mandala

769
00:42:30,600 --> 00:42:32,319
Speaker 2: effect because we know that he was in jail for

770
00:42:32,400 --> 00:42:35,640
Speaker 2: decades and he was in a very poor condition when

771
00:42:35,640 --> 00:42:38,239
Speaker 2: he came out of jail. But for some reason, and

772
00:42:38,280 --> 00:42:40,560
Speaker 2: the reason it was called the Mandala effect is because

773
00:42:40,800 --> 00:42:44,920
Speaker 2: people actually believed that and they false remembered that situation.

774
00:42:45,160 --> 00:42:48,480
Speaker 2: So we're frail enough as it is with false memories

775
00:42:48,520 --> 00:42:52,319
Speaker 2: and the way that our memory reconstructs itself. And sometimes

776
00:42:52,400 --> 00:42:56,920
Speaker 2: it's great when you have siblings recounting a story and

777
00:42:57,080 --> 00:43:00,480
Speaker 2: looking at the different ways that story was remembered. I

778
00:43:00,480 --> 00:43:01,960
Speaker 2: don't have had that. You know, you talk to one

779
00:43:02,000 --> 00:43:04,160
Speaker 2: of your mates, haven't caught up with you, and you

780
00:43:04,200 --> 00:43:06,920
Speaker 2: misremember and your brains within the blanks.

781
00:43:08,320 --> 00:43:13,200
Speaker 1: Well, and it's the same with eyewitness testimony. It's held

782
00:43:13,440 --> 00:43:16,480
Speaker 1: in not very high regard because oh, well, where were

783
00:43:16,560 --> 00:43:19,359
Speaker 1: your eyes on the other side of the street. Okay, Well,

784
00:43:19,880 --> 00:43:22,839
Speaker 1: so this happened inside the shop, and you were outside

785
00:43:22,880 --> 00:43:25,880
Speaker 1: the shop on the other side of the street, and

786
00:43:26,000 --> 00:43:28,960
Speaker 1: it was dusk, and the person had their back, you know,

787
00:43:29,040 --> 00:43:32,520
Speaker 1: then all of a sudden, it's like, well, like there

788
00:43:32,600 --> 00:43:34,520
Speaker 1: was the thing that happened, and then there was what

789
00:43:34,760 --> 00:43:38,640
Speaker 1: you think happened. Like sometimes they're pretty desparate, you know.

790
00:43:39,840 --> 00:43:41,520
Speaker 2: I was always I was saying to someone recently, there

791
00:43:41,560 --> 00:43:45,080
Speaker 2: are always three sides to every story. Your side, my side,

792
00:43:45,120 --> 00:43:45,600
Speaker 2: and the truth.

793
00:43:45,960 --> 00:43:51,560
Speaker 1: Yeah. Hey, one of my favorite actresses, Scarlett Johansen's been

794
00:43:51,640 --> 00:43:52,439
Speaker 1: in the news lately.

795
00:43:53,040 --> 00:43:55,080
Speaker 2: Well, you you were a victim of this. I know

796
00:43:55,280 --> 00:43:58,400
Speaker 2: recently you were the victim of someone copying your voice.

797
00:43:58,520 --> 00:44:01,279
Speaker 2: Go listen to the last episode, did you Was there

798
00:44:01,320 --> 00:44:03,280
Speaker 2: any comments about that it would.

799
00:44:03,080 --> 00:44:06,759
Speaker 1: Be Yeah, yeah it was. It was actually funny, like

800
00:44:07,040 --> 00:44:09,440
Speaker 1: it got worse through the show because you were making

801
00:44:09,480 --> 00:44:11,520
Speaker 1: it up on the spot. Yes, but the stuff that

802
00:44:11,640 --> 00:44:13,759
Speaker 1: you pre prepared in it, I think you told me

803
00:44:13,800 --> 00:44:17,040
Speaker 1: it took about three minutes, but I listened. I didn't

804
00:44:17,040 --> 00:44:18,759
Speaker 1: listen to the whole show, but I listened to that

805
00:44:19,560 --> 00:44:22,000
Speaker 1: because I wanted to listen as a listener to see

806
00:44:23,080 --> 00:44:25,719
Speaker 1: how the if you weren't if you didn't listen to it,

807
00:44:25,760 --> 00:44:29,640
Speaker 1: everyone Patrick basically used took my fuck. I don't know.

808
00:44:29,800 --> 00:44:30,960
Speaker 1: Can you tell people what you did?

809
00:44:31,040 --> 00:44:33,760
Speaker 2: You took my voice and uploaded it to an AI

810
00:44:33,960 --> 00:44:35,759
Speaker 2: to copy it, and then I was able to type

811
00:44:35,800 --> 00:44:38,719
Speaker 2: in some text a statement by Craig on how much

812
00:44:38,760 --> 00:44:40,719
Speaker 2: he liked me, how much better I was at him,

813
00:44:40,719 --> 00:44:43,360
Speaker 2: how much of them more handsome? And I did the

814
00:44:43,440 --> 00:44:47,640
Speaker 2: intro to the show as Craig's voice mimicked by an AI,

815
00:44:48,320 --> 00:44:50,239
Speaker 2: which was kind of fun. Actually was. It was fun

816
00:44:50,360 --> 00:44:52,960
Speaker 2: doing it, and it was interesting as an exercise because

817
00:44:53,719 --> 00:44:55,840
Speaker 2: we've spoken about it before and we know that the

818
00:44:55,920 --> 00:44:57,520
Speaker 2: tools are out there, but I'd never done it, so

819
00:44:57,560 --> 00:45:00,839
Speaker 2: I thought it'd be a nice little experiment to the show.

820
00:45:01,360 --> 00:45:03,640
Speaker 2: But it was. It was kind of cool. And you

821
00:45:03,719 --> 00:45:05,760
Speaker 2: know what I really wanted to know was has anybody

822
00:45:05,880 --> 00:45:09,680
Speaker 2: sent you five bucks? No, because one of the other

823
00:45:09,760 --> 00:45:12,960
Speaker 2: things we asked was for everybody send five dollars for me,

824
00:45:13,040 --> 00:45:17,480
Speaker 2: and that you'd match whatever amount we raised. Yeah, yeah,

825
00:45:17,560 --> 00:45:18,600
Speaker 2: it was. It was worth a try.

826
00:45:18,640 --> 00:45:22,120
Speaker 1: I reckon, No, that's not happening. Hey, as we're winding up,

827
00:45:23,360 --> 00:45:26,600
Speaker 1: it was worth a try. Self balancing motorcycles. That's kind

828
00:45:26,600 --> 00:45:28,200
Speaker 1: of annoy I think it's funny.

829
00:45:28,960 --> 00:45:31,560
Speaker 2: Well, funny, you reckon. I thought this was really cool.

830
00:45:31,680 --> 00:45:34,800
Speaker 2: So having only ever been a passenger on a bike

831
00:45:35,040 --> 00:45:38,839
Speaker 2: and being told sternly by you, you need to lean

832
00:45:38,920 --> 00:45:42,279
Speaker 2: into the same direction that I'm leaning into. Why why

833
00:45:42,360 --> 00:45:44,320
Speaker 2: do I need to lean into the same direction that

834
00:45:44,400 --> 00:45:46,480
Speaker 2: you're leaning to, Craig when you're at speed?

835
00:45:48,840 --> 00:45:50,879
Speaker 1: Well, because we don't want to well what people try

836
00:45:51,000 --> 00:45:53,560
Speaker 1: and do who are inexperienced on moti So say you're

837
00:45:53,600 --> 00:45:56,759
Speaker 1: going into a left hand turn, well, and so your

838
00:45:56,800 --> 00:45:59,600
Speaker 1: motorbike is leaning to the left because you're going into

839
00:45:59,680 --> 00:46:02,640
Speaker 1: the car, and so you lean with it. Because you're

840
00:46:02,640 --> 00:46:05,800
Speaker 1: one with a bike. But what some people do is

841
00:46:05,920 --> 00:46:10,040
Speaker 1: they go, oh, I better counterbalance this, and so they

842
00:46:10,239 --> 00:46:12,760
Speaker 1: try and hang off the other side like a fucking

843
00:46:12,880 --> 00:46:18,240
Speaker 1: idiot and nearly kill everyone. So you lean into the corner.

844
00:46:18,360 --> 00:46:22,239
Speaker 1: But but I mean, I can't imagine because I've been

845
00:46:22,360 --> 00:46:25,200
Speaker 1: riding for so long, But I guess I could hypothetically

846
00:46:25,280 --> 00:46:28,320
Speaker 1: imagine that. It feels like that's a dumb thing to

847
00:46:28,400 --> 00:46:31,920
Speaker 1: do when you're on the back. Can intuitive Yeah, it

848
00:46:32,080 --> 00:46:35,400
Speaker 1: seemed correct, And you're like, fuck, my knee is about

849
00:46:35,440 --> 00:46:38,200
Speaker 1: three inches from the ground and my elbows about eight

850
00:46:38,280 --> 00:46:41,000
Speaker 1: inches from the ground. I really should maybe lean the

851
00:46:41,080 --> 00:46:42,759
Speaker 1: other way just to help crag out.

852
00:46:43,080 --> 00:46:45,520
Speaker 2: Yea, how is the heaviest bike you've got?

853
00:46:47,200 --> 00:46:49,640
Speaker 1: So, one of the bikes I've got is three hundred

854
00:46:49,640 --> 00:46:53,320
Speaker 1: and sixty two kilos what they call dry, So with

855
00:46:53,480 --> 00:46:57,959
Speaker 1: motorbikes they say dry or wet, So without drying, yeah,

856
00:46:58,200 --> 00:47:01,880
Speaker 1: without oil, without fuel, so so probably wet. It's about

857
00:47:02,000 --> 00:47:04,680
Speaker 1: three hundred and eighty k's before I put my fat

858
00:47:04,719 --> 00:47:05,200
Speaker 1: ass on it.

859
00:47:05,800 --> 00:47:07,960
Speaker 2: So now, when you get to a set of lights

860
00:47:08,320 --> 00:47:10,360
Speaker 2: and stop, rather than running the light.

861
00:47:10,880 --> 00:47:13,600
Speaker 1: What's you do? Well, you've got to put your feet

862
00:47:13,640 --> 00:47:14,560
Speaker 1: down obviously.

863
00:47:14,280 --> 00:47:19,879
Speaker 2: No you don't, No, you don't, okay, okay, Honda, wait

864
00:47:19,960 --> 00:47:25,440
Speaker 2: for this. Honda has unveiled riding assist technology, and what

865
00:47:25,640 --> 00:47:29,719
Speaker 2: they demonstrated was a bloke with the bike stopped, standing

866
00:47:29,920 --> 00:47:34,080
Speaker 2: on the bike, so standing actually on the bike headily

867
00:47:34,239 --> 00:47:36,120
Speaker 2: things I don't know what they are, and with his

868
00:47:36,400 --> 00:47:39,400
Speaker 2: arms out right, so his feet on the footpegs and

869
00:47:39,480 --> 00:47:44,000
Speaker 2: his ar fully stretched out and the bike maintained it's up.

870
00:47:44,880 --> 00:47:45,840
Speaker 2: How awesome is that?

871
00:47:46,920 --> 00:47:49,319
Speaker 1: Well? How unnecessary is that? Because if you can't put

872
00:47:49,360 --> 00:47:51,440
Speaker 1: your fucking feet on the ground, what's wrong with you?

873
00:47:53,840 --> 00:47:56,200
Speaker 2: Not? But what about when you're stuck in traffic you

874
00:47:56,280 --> 00:47:59,080
Speaker 2: can't weave around and you're going you're going slight. The

875
00:47:59,160 --> 00:48:00,960
Speaker 2: slower you go, the harder it is to balance.

876
00:48:01,040 --> 00:48:07,359
Speaker 1: Yeah, yeah, Are you trying to tell me about motorbikes? Now?

877
00:48:08,560 --> 00:48:10,640
Speaker 1: I try and tell you about technology.

878
00:48:10,840 --> 00:48:13,879
Speaker 2: Okay? Can I ask you a question? At the beginner's side,

879
00:48:13,880 --> 00:48:14,439
Speaker 2: you know when.

880
00:48:14,360 --> 00:48:16,800
Speaker 1: You say can I ask you a question? That is

881
00:48:17,080 --> 00:48:19,640
Speaker 1: of itself a question, So you should say, can I

882
00:48:19,719 --> 00:48:20,840
Speaker 1: ask you another question?

883
00:48:21,080 --> 00:48:22,360
Speaker 2: Did I ask you another question?

884
00:48:23,000 --> 00:48:23,200
Speaker 1: Yes?

885
00:48:23,920 --> 00:48:26,800
Speaker 2: What do you think is the biggest hurdle to young

886
00:48:27,040 --> 00:48:31,960
Speaker 2: drivers or young riders when they're driving in slow traffic.

887
00:48:32,040 --> 00:48:34,080
Speaker 2: What's the hardest thing for them to accomplish if they're

888
00:48:34,120 --> 00:48:35,919
Speaker 2: slowing down to say five k's an hour.

889
00:48:37,840 --> 00:48:40,840
Speaker 1: Well, what the inhibiting factor is their lack of skill

890
00:48:40,920 --> 00:48:43,040
Speaker 1: and they can only get good by riding more.

891
00:48:43,560 --> 00:48:48,640
Speaker 2: Ah, you deliberately didn't say balance as a contributing problem

892
00:48:48,760 --> 00:48:51,719
Speaker 2: for younger riders or people who are in experience. Don't

893
00:48:51,719 --> 00:48:54,000
Speaker 2: you think this would be great to have this rider

894
00:48:54,080 --> 00:48:55,920
Speaker 2: assist writing technology.

895
00:48:56,000 --> 00:49:01,560
Speaker 1: No bullshit, we're becoming so fucked and fragile. Now we

896
00:49:01,719 --> 00:49:05,480
Speaker 1: need a self balancing fuck off with yourself balancing motorbike.

897
00:49:06,280 --> 00:49:08,439
Speaker 2: I was so excited when I saw that. I thought

898
00:49:08,520 --> 00:49:12,480
Speaker 2: Crago is going to get really happy and excited about this. Now.

899
00:49:12,520 --> 00:49:14,359
Speaker 1: I'll tell you what I do want though. I want

900
00:49:14,520 --> 00:49:19,080
Speaker 1: a robot dog that blow shit up. That's what I want.

901
00:49:19,360 --> 00:49:22,160
Speaker 2: China's done it. So China seems to have been the

902
00:49:22,239 --> 00:49:24,680
Speaker 2: first they got one of those robot dogs. We've seen

903
00:49:24,719 --> 00:49:28,040
Speaker 2: them all, the Boston Dynamics dogs, and there's some weapon

904
00:49:28,120 --> 00:49:30,680
Speaker 2: on the back of them. So now they've got who

905
00:49:30,760 --> 00:49:33,719
Speaker 2: knows what they're going to be using them for urban

906
00:49:33,840 --> 00:49:39,400
Speaker 2: warfare or just knows what. That's really pretty frightening, actually,

907
00:49:40,560 --> 00:49:42,759
Speaker 2: you know, I'd hate to think that they're autonomous. I

908
00:49:42,800 --> 00:49:45,160
Speaker 2: could kind of understand if they were under remote control.

909
00:49:45,280 --> 00:49:48,840
Speaker 2: But the idea of some sort of autonomous four legged,

910
00:49:49,000 --> 00:49:53,000
Speaker 2: very fast, very agile upstairs, downstairs, round corners with a

911
00:49:53,160 --> 00:49:56,319
Speaker 2: gun on top, we're just frightening to see. I don't

912
00:49:56,320 --> 00:49:59,240
Speaker 2: know if you saw the photos of it, but actually

913
00:49:59,320 --> 00:50:03,400
Speaker 2: has deployed a dog, robot dog with a weapon on

914
00:50:03,440 --> 00:50:03,880
Speaker 2: the back of it.

915
00:50:04,320 --> 00:50:09,239
Speaker 1: I know, imagine sending that into bloody warfare, like into

916
00:50:09,920 --> 00:50:14,120
Speaker 1: yeah exactly, I mean that. Yeah, I mean the technology

917
00:50:14,239 --> 00:50:19,320
Speaker 1: in that space is Yeah, that that that scares me

918
00:50:19,400 --> 00:50:22,000
Speaker 1: a little bit. I mean, war scares me. Like, fuck,

919
00:50:23,080 --> 00:50:25,759
Speaker 1: that's a whole episode. Why can't we humans figure that

920
00:50:25,880 --> 00:50:30,000
Speaker 1: shit out? Where allegedly the smartest species fuck, I don't know,

921
00:50:30,160 --> 00:50:31,680
Speaker 1: have a look at some of the ship that we do,

922
00:50:31,920 --> 00:50:34,120
Speaker 1: like some of the incredible shit we do and some

923
00:50:34,239 --> 00:50:37,440
Speaker 1: of the horrible shit we do. I reckon dolphins and

924
00:50:37,680 --> 00:50:41,680
Speaker 1: OCTOPI have got us covered. And elephants. Yeah, you know,

925
00:50:41,840 --> 00:50:43,680
Speaker 1: elephants are super smart. Did you know that?

926
00:50:45,120 --> 00:50:47,719
Speaker 2: I yeah, you just told me so.

927
00:50:47,800 --> 00:50:51,719
Speaker 1: They must be and also quite emotionally evolved. Yeah.

928
00:50:53,480 --> 00:50:58,080
Speaker 2: Look, I love seeing the videos of elephants when they

929
00:50:58,480 --> 00:51:02,960
Speaker 2: nurture and protect and they really have quite strong family ties,

930
00:51:03,040 --> 00:51:07,759
Speaker 2: don't they community sense of how they they like dolphins too.

931
00:51:07,840 --> 00:51:12,520
Speaker 1: They have language like they actually have like their version

932
00:51:12,800 --> 00:51:18,920
Speaker 1: of you know, verbal communication, obviously vastly different to us.

933
00:51:19,200 --> 00:51:21,279
Speaker 1: But you know, all right, have you got a big

934
00:51:21,520 --> 00:51:26,160
Speaker 1: fucking highlight to close something out on? We didn't talk

935
00:51:26,160 --> 00:51:28,560
Speaker 1: about Scarlet, but we can discard her if you want.

936
00:51:29,120 --> 00:51:31,560
Speaker 1: Have you got a banger that you want to finish with?

937
00:51:32,400 --> 00:51:35,000
Speaker 2: So a lot of us use our browsers, and think

938
00:51:35,160 --> 00:51:37,200
Speaker 2: when I talk about browsers, I'm talking about you know,

939
00:51:37,440 --> 00:51:41,600
Speaker 2: using Google Chrome or Edge or one of the other browsers.

940
00:51:41,840 --> 00:51:45,000
Speaker 2: But Microsoft's Edge browser, which is not as used as

941
00:51:45,080 --> 00:51:47,520
Speaker 2: much as Chrome. And I guess if you're on an

942
00:51:47,560 --> 00:51:51,799
Speaker 2: Apple device, you've got what safari? Is that what people know? Yeah,

943
00:51:51,840 --> 00:51:55,279
Speaker 2: that's right, But this is a new feature that's kind

944
00:51:55,320 --> 00:51:59,000
Speaker 2: of cool. And I like to watch lots of videos,

945
00:51:59,080 --> 00:52:03,880
Speaker 2: and a lot of independ and producers publish videos online.

946
00:52:04,120 --> 00:52:09,440
Speaker 2: So foreign films smart small niche kind of five, ten, twelve,

947
00:52:09,560 --> 00:52:12,880
Speaker 2: fifteen minute docos or whatever. But if there are in

948
00:52:12,920 --> 00:52:15,880
Speaker 2: other languages and they don't have subtitles, that's really frustrating

949
00:52:15,960 --> 00:52:20,000
Speaker 2: because they don't always have English subtitles. However, now Microsoft

950
00:52:20,320 --> 00:52:24,839
Speaker 2: Edge will be able to translate and dub on the fly.

951
00:52:26,320 --> 00:52:26,560
Speaker 1: Wow.

952
00:52:27,080 --> 00:52:30,440
Speaker 2: Yeah, it's really good. So real time video translation on

953
00:52:30,600 --> 00:52:34,920
Speaker 2: anything from YouTube, LinkedIn, you name it. And this is

954
00:52:34,960 --> 00:52:37,000
Speaker 2: something that's going to be built into the browsers. So

955
00:52:37,400 --> 00:52:42,080
Speaker 2: as you're watching, it could be from German, Hindi, Italian, Russian, Spanish,

956
00:52:42,360 --> 00:52:44,680
Speaker 2: and it can convert it on the fly into English

957
00:52:44,880 --> 00:52:46,520
Speaker 2: or the other way around if you happen to be

958
00:52:46,640 --> 00:52:49,759
Speaker 2: a German speaker. So I thought that's kind of cool

959
00:52:49,880 --> 00:52:53,200
Speaker 2: that now it's going to make that sort of content

960
00:52:53,320 --> 00:52:57,000
Speaker 2: more accessible to people. Do you watch much YouTube or

961
00:52:57,080 --> 00:52:58,200
Speaker 2: do you look at foreign films?

962
00:52:58,239 --> 00:53:00,680
Speaker 1: Do you like, Yeah, I watched too much. I go

963
00:53:00,840 --> 00:53:03,040
Speaker 1: down the old YouTube rabbit hole when I should be

964
00:53:03,160 --> 00:53:06,120
Speaker 1: reading a research paper or something because I've got the

965
00:53:06,200 --> 00:53:09,759
Speaker 1: attention of a four year old. But yeah, it's yeah.

966
00:53:10,680 --> 00:53:13,000
Speaker 1: But satally, I mean, that's amazing though, that you can

967
00:53:13,040 --> 00:53:15,840
Speaker 1: watch something that is in a foreign language and have

968
00:53:15,920 --> 00:53:17,040
Speaker 1: it convert in real time.

969
00:53:17,400 --> 00:53:20,640
Speaker 2: So it's called co pilot. And my dream for this

970
00:53:21,120 --> 00:53:23,680
Speaker 2: is to have smart glasses and travel around the world

971
00:53:23,800 --> 00:53:26,920
Speaker 2: where someone talks to you in Chinese and you get

972
00:53:26,960 --> 00:53:29,400
Speaker 2: the real time translation floating in front of you, like

973
00:53:29,440 --> 00:53:32,600
Speaker 2: a little talk bubble. You know, you can imagine talk

974
00:53:32,680 --> 00:53:35,440
Speaker 2: bubble appearing over the person as they're talking and it's

975
00:53:35,480 --> 00:53:37,520
Speaker 2: translating in real time. And if they were wearing the

976
00:53:37,600 --> 00:53:41,640
Speaker 2: same smart glasses with this real time translation, then you

977
00:53:42,239 --> 00:53:45,280
Speaker 2: you know, all the barriers to communication can be dropped.

978
00:53:45,600 --> 00:53:48,240
Speaker 2: It would make life so fun and interesting.

979
00:53:49,040 --> 00:53:53,080
Speaker 1: You know how there's always been talk about that eventually

980
00:53:53,160 --> 00:53:57,200
Speaker 1: we're not going to have to verbally speak, because we'll

981
00:53:57,320 --> 00:53:59,720
Speaker 1: just be able to read each other's minds or thoughts

982
00:53:59,800 --> 00:54:01,040
Speaker 1: or whatever, which who knows.

983
00:54:01,400 --> 00:54:03,640
Speaker 2: Frightening. I would not want to read your mind and

984
00:54:03,719 --> 00:54:04,400
Speaker 2: you don't want to read it.

985
00:54:05,520 --> 00:54:08,719
Speaker 1: I would not want anyone to like that's I'll be

986
00:54:08,800 --> 00:54:13,200
Speaker 1: put in an asylum. But I wonder if like you

987
00:54:13,320 --> 00:54:17,120
Speaker 1: go okay, so now I can Elon Musk and Joe

988
00:54:17,200 --> 00:54:19,640
Speaker 1: Rogan talk about this a lot, this idea. They're fucking

989
00:54:20,520 --> 00:54:23,279
Speaker 1: infatuated with it. But I wonder if they ever got

990
00:54:23,360 --> 00:54:25,759
Speaker 1: to that, if you go to another country, if you

991
00:54:25,800 --> 00:54:28,760
Speaker 1: could understand, because they don't they don't think in English,

992
00:54:29,520 --> 00:54:31,600
Speaker 1: like I wonder if do you know what I'm saying?

993
00:54:32,280 --> 00:54:35,960
Speaker 1: It's like like when you're just thinking about something, Like

994
00:54:36,080 --> 00:54:38,279
Speaker 1: when I'm thinking about something, it's not like there are

995
00:54:38,600 --> 00:54:43,759
Speaker 1: words in my head. I this is a stupid conversation.

996
00:54:44,239 --> 00:54:48,080
Speaker 1: Do you know what I mean? For people's mind if

997
00:54:48,120 --> 00:54:49,760
Speaker 1: you could read them in different countries.

998
00:54:50,120 --> 00:54:53,120
Speaker 2: Some people have a condition where they can't verbalize in

999
00:54:53,200 --> 00:54:56,760
Speaker 2: their head. They don't have the internal dialogue or internal narrator.

1000
00:54:57,320 --> 00:55:00,440
Speaker 2: So wow, that's yeah, that's a that's an ext condition

1001
00:55:00,560 --> 00:55:03,600
Speaker 2: that some people have. But I guess do we think

1002
00:55:03,640 --> 00:55:06,359
Speaker 2: in those arbitrary thoughts? You know, if I'm hungry, if

1003
00:55:06,400 --> 00:55:08,960
Speaker 2: I look at something and think that looks great. That's

1004
00:55:09,000 --> 00:55:12,520
Speaker 2: a really interesting question as to whether on a deeper level,

1005
00:55:12,960 --> 00:55:16,480
Speaker 2: even though we may be applying words to that thought process,

1006
00:55:16,920 --> 00:55:21,560
Speaker 2: whether there is on a deeper level is translatable across

1007
00:55:21,719 --> 00:55:25,200
Speaker 2: languages if it was just the emotion that's built into that.

1008
00:55:25,600 --> 00:55:27,440
Speaker 2: So if I look at my dog and I look

1009
00:55:27,440 --> 00:55:29,320
Speaker 2: at him and I think of fondness and love because

1010
00:55:29,360 --> 00:55:31,680
Speaker 2: I love my dog. We're'm about to take him for

1011
00:55:31,719 --> 00:55:35,719
Speaker 2: a walk. I said the word, but in those senses, then,

1012
00:55:36,000 --> 00:55:38,080
Speaker 2: you know, I don't even understand how we do that

1013
00:55:38,280 --> 00:55:41,640
Speaker 2: on a you know, kind of neurological I.

1014
00:55:41,680 --> 00:55:44,360
Speaker 1: Think the thought is just like we don't think in

1015
00:55:44,480 --> 00:55:47,480
Speaker 1: words like I'm not I'm not. I'm not looking out

1016
00:55:47,560 --> 00:55:50,839
Speaker 1: my window now at the beautiful trees in my yard

1017
00:55:51,400 --> 00:55:53,920
Speaker 1: thinking in my mind the words are, oh, they are

1018
00:55:54,000 --> 00:55:57,400
Speaker 1: beautiful grand trees. What a nice outlook like that's not happening,

1019
00:55:58,040 --> 00:56:01,279
Speaker 1: like there's just the I what that'll do? You've killed

1020
00:56:01,320 --> 00:56:03,839
Speaker 1: it again. For people who want to come and start

1021
00:56:03,920 --> 00:56:06,799
Speaker 1: your joint or you know, connect with you in some way,

1022
00:56:06,920 --> 00:56:09,120
Speaker 1: or take Fritz for a walk, or steal your wallet

1023
00:56:09,200 --> 00:56:11,799
Speaker 1: from your car, that's there. Watch your home address, watch

1024
00:56:11,800 --> 00:56:13,440
Speaker 1: your web address. How do people do that?

1025
00:56:13,840 --> 00:56:16,040
Speaker 2: Okay, our west of Melbourne. If you just drive on

1026
00:56:16,120 --> 00:56:17,920
Speaker 2: the highway for an hour and then pull off at

1027
00:56:17,920 --> 00:56:19,600
Speaker 2: the first time you get to, that will be where

1028
00:56:19,640 --> 00:56:24,719
Speaker 2: I live. Traffic situation. I guess you could be enough,

1029
00:56:24,719 --> 00:56:28,640
Speaker 2: Betty where no websites, NOOW, dot com, dot au. So

1030
00:56:28,800 --> 00:56:32,000
Speaker 2: that's I guess my business. Website building part of it.

1031
00:56:32,160 --> 00:56:33,920
Speaker 2: We do lots of that sort of stuff, and I

1032
00:56:34,920 --> 00:56:37,160
Speaker 2: don't really do the social thing very much in terms

1033
00:56:37,160 --> 00:56:39,840
Speaker 2: of connecting online. So if you want to contact me

1034
00:56:39,880 --> 00:56:42,640
Speaker 2: about stuff, you could just go to them and tie

1035
00:56:42,760 --> 00:56:45,359
Speaker 2: cheer at home. I do have some online tie cheat

1036
00:56:45,400 --> 00:56:49,200
Speaker 2: courses that Craig refuses to take part in and go

1037
00:56:49,360 --> 00:56:51,120
Speaker 2: to ty chair at home and do some free time

1038
00:56:51,200 --> 00:56:53,839
Speaker 2: chat classes or as I said, websites now, dot Com,

1039
00:56:53,920 --> 00:56:56,520
Speaker 2: tod au and check out what we do and all

1040
00:56:56,560 --> 00:56:57,240
Speaker 2: that sort of stuff.

1041
00:56:58,400 --> 00:57:00,960
Speaker 1: Well, if I could, if I was more flexible than

1042
00:57:01,000 --> 00:57:03,960
Speaker 1: a fucking cricket bat, i'd get involved. But let me

1043
00:57:04,120 --> 00:57:07,200
Speaker 1: let me work on that. Patrick, Thank you, Thanks Crego,

1044
00:57:07,920 --> 00:57:08,440
Speaker 1: Thanks Mat