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Speaker 1: I've got a team. Welcome to the project. Tiffany Cook

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Speaker 1: and Patrick Bonello. Those two have just been talking non stop.

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Speaker 1: So I'm interrupting them to start the show. And now

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Speaker 1: you can continue. Patrick, Now you can keep going. See

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Speaker 1: all your good stuff happens before we start, because there's

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Speaker 1: nothing of none of that you can talk about on

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Speaker 1: the show.

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Speaker 2: That's very true. I just think it's really rude that

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Speaker 2: tiff and I are having a conversation and you butt

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Speaker 2: in with your show.

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Speaker 1: Yeah, I know, I know, I apologize. It's very selfish

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Speaker 1: of me, but I'm an only child. You were, and

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Speaker 1: we're not going to explore the revelation that came to light,

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Speaker 1: but you'd realize that you may have been sabotaging your

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Speaker 1: potential to find a playmate. We'll call it that.

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Speaker 2: Can you sell that now and not have any context?

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Speaker 2: That's just silly. Well, oh sure you can give the context.

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Speaker 2: Oh I don't want to give the context, but I

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Speaker 2: exactly thoated the and all listeners sitting there thinking, what

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Speaker 2: the hell are those idiots talking about? At the ste

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Speaker 2: They're all going to turn off.

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Speaker 1: No, Well, we were talking about the fact that you

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Speaker 1: may have been unconsciously unintentionally sabotaging your dating efforts. Can

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Speaker 1: we say that?

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Speaker 2: Yeah? I guess well, because I said my favorite color

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Speaker 2: is green. It was Sir Patrick's day earlier this week,

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Speaker 2: and I realized I was not only wearing a green top,

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Speaker 2: well a hoodie with a green T shirt underneath. But

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Speaker 2: it's a if anyone's been to Berlin, this is really

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Speaker 2: cool shop or shops around Berlin called Ampelmann, and Ampelmann

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Speaker 2: is the little red dude that's on the street lights

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Speaker 2: that makes you stop and a little picture of a

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Speaker 2: green dude that allows you to walk across the intersection,

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Speaker 2: so the stop go character. But it's it's almost the

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Speaker 2: Monopoly like character, isn't it. When you look at it,

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Speaker 2: it looks a bit like the Monopoly dude, So you

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Speaker 2: can if you can imagine green. Well, I've got this

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Speaker 2: hoodie that I bought in Berlin, which I love. It's

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Speaker 2: one of my is my favorite hoodie, and it's got

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Speaker 2: the the go guy on the front, the little umpleman

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Speaker 2: green guy on the front, but it's got the red

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Speaker 2: stop guy on the back. And Craig suggested that may

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Speaker 2: be hindering my ability to be able to meet up

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Speaker 2: with people on tapes.

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Speaker 1: I'm just I'm suggesting that you just maybe have a

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Speaker 1: green No, I don't know what I'm suggesting.

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Speaker 2: Maybe it's the grown man who get a top that's

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Speaker 2: eyed on. It is probably why people.

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Speaker 1: I think a couple of our listeners will figure out

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Speaker 1: where I was going, but I hope most of them

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Speaker 1: don't have Good morning, TIV morning. How are you very good?

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Speaker 3: Thanks?

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Speaker 1: I heard that you're going on a date tomorrow and

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Speaker 1: Patrick's going on a date tomorrow.

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Speaker 3: Yeah, how exciting?

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Speaker 1: And are your dogs also going on the date?

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Speaker 2: They are?

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Speaker 3: Yeah, Luna can't wait?

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Speaker 1: Yeah, what are you two doing?

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Speaker 3: Didn't run around in the park, roll in the grass

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Speaker 3: us a little bit, have some lunch yep.

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Speaker 2: Yeah.

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Speaker 1: Fritz and Luna on speaking terms.

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Speaker 3: I've met once.

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Speaker 2: Yeah yeah. But we're also bringing in a third wildcard

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Speaker 2: factor here. Another friend of mine, Kim, is bringing her

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Speaker 2: dog Walter Wally, and Wally is probably in the same

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Speaker 2: league as Luna in terms of dogs that go absolutely

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Speaker 2: psycho with other dogs. Could I be right in saying that, Tiff?

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Speaker 1: Yeah, yeah, your dog? Does your dog go nuts? Tiff?

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Speaker 3: Oh yeah, she can do really all sorts. She's all sorts.

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Speaker 2: But with it's so fast. When you see a whippet

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Speaker 2: running at the park and they do that. What I

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Speaker 2: love about the whippets is not just the speed and acceleration,

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Speaker 2: it's the ability to turn around on a postage stamp

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Speaker 2: and suddenly go in the opposite direction. And that's why

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Speaker 2: I'm so excited. I've been trying to organize this three

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Speaker 2: way date for such a long time between my friend

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Speaker 2: and her whippet so that she can meet at Luna.

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Speaker 2: That's pretty exciting. But we're probably boring everybody out. We did.

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Speaker 1: Probably are.

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Speaker 3: We'll put some puppy spam in in the face.

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Speaker 2: Exactly, don't you. Today I was just thinking, I don't

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Speaker 2: know whether it made big news in conventional media, because

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Speaker 2: it only just occurred to me this morning that probably

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Speaker 2: everybody was watching this on television, whereas I was watching

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Speaker 2: it via the NASA live feed. But the astronauts coming

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Speaker 2: back from the International Space Station on the Dragon X

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Speaker 2: recovery vehicle, you know, the little shuttle they have. Did

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Speaker 2: you watch that? Did you know about that? Because I

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Speaker 2: get pinged when NASA has an interesting thing happened. I'm

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Speaker 2: constantly being you know, like, oh, look, the International Space

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Speaker 2: Station is flying over so you can log onto a

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Speaker 2: live feed. But did you know about that? Was that

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Speaker 2: big in the news this week?

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Speaker 1: You really do need to get a television. I know

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Speaker 1: you don't want one, but it's been all over the

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Speaker 1: news week. That's like saying, did any of you notice

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Speaker 1: that in the morning the sun comes up? Has anybody?

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Speaker 1: Has anybody noticed that? Or just me, yes, Patrick, it's

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Speaker 1: been all over the news, but it is death. I

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Speaker 1: look I mean you would look at it from all

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Speaker 1: the tech and the sci fi not sci fi, but

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Speaker 1: the space I look at it from the physiology. I think, Wow,

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Speaker 1: these two bodies haven't experienced gravity, for actual real gravity

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Speaker 1: for nine months, and just to think about the physiological destruction,

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Speaker 1: bone density, muscle mass, you know, all the things that

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Speaker 1: have fallen apart in the last nine months. And to

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Speaker 1: think about how long it's going to take to get

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Speaker 1: those bodies, if they ever would get back to normal,

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Speaker 1: I'm not actually sure, but to get them back to

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Speaker 1: somewhat operational, that's fascinating.

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Speaker 2: Yeah, there's these suggestions that there are long term effects

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Speaker 2: obviously from being in zero G for such a long time,

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Speaker 2: but you're right that there may be some instances of

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Speaker 2: that exposure to more radiation. It's thought that people on

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Speaker 2: the Apollo missions had a higher instances of cancer. Obviously

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Speaker 2: we're protected here on our little blue globe floating there

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Speaker 2: in the middle of everything in the void. So I think,

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Speaker 2: I love that people can get so excited about something

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Speaker 2: like this, you know, being stuck in a tin can

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Speaker 2: for nine months when you thought you were going for

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Speaker 2: eight days. I'm just thinking, like when I went to

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Speaker 2: your place recently and your room that you wouldn't let

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Speaker 2: me open the window in on a hot night. I thought,

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Speaker 2: you know, it's kind of similar to.

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Speaker 1: That crawl into my room with the ac is.

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Speaker 2: Oh, I didn't think about that, of course. So I

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Speaker 2: go to his place tip.

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Speaker 4: Degree, you're true thirty nine degrees and he says, here's

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Speaker 4: your room, and I'm thinking he hasn't turned any of

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Speaker 4: the air cons on weltering it here.

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Speaker 2: So I say to him, can I open the window? Mate?

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Speaker 2: Not because of the neighbors. You can't open the window

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Speaker 2: since you could leave your door open. It's like, why

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Speaker 2: you haven't turned the ac on your tighty I gave

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Speaker 2: your bed.

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Speaker 3: It's about this window. Why can't you open the window

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Speaker 3: because of the neighbors.

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Speaker 1: It's not that it's the window won't open.

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Speaker 2: It's bolted from the outside, so the person so jake

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Speaker 2: it out.

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Speaker 1: That's how I keep my guests in the house. I mean,

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Speaker 1: just call me Hannibal Lecter. If only you didn't take

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Speaker 1: off at four am out the front door. Patrick, It's

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Speaker 1: very ungracious and very ungrateful.

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Speaker 2: It was actually very kind of great because let me state,

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Speaker 2: it's too late.

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Speaker 1: Did you get that thing I sent you through the week?

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Speaker 1: Like this is the problem Tip? I send him tech

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Speaker 1: things and he never even acknowledges it because he didn't

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Speaker 1: think of it or see it. He doesn't go, this

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Speaker 1: is really interesting, Craig, thanks for sending this.

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Speaker 2: I think that when you sense it, I'm going to

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Speaker 2: defend myself here.

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Speaker 1: Oh col sure, how about you just say sorry, Jumbo.

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Speaker 1: I didn't acknowledge it in any crisis.

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Speaker 2: Was I was trying to be Switzerland in the middle

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Speaker 2: of two warring parties. I'm not going to go into

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Speaker 2: the details because they might be listening. But no, no,

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Speaker 2: there was an altercation between two people and I was

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Speaker 2: being the Dalai Lama. By a coincidence, I'm born the

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Speaker 2: same day as the Dalai Lama. I just thought i'd

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Speaker 2: mentioned that, But I was trying to look two people

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Speaker 2: who were really upset, and I was trying to diffuse

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Speaker 2: the situation and make them both less upset, and I

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Speaker 2: think I succeeded. So I think I served a really

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Speaker 2: good purpose there. Send me to the Middle East, I

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Speaker 2: don't know, but in this instance.

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Speaker 1: In doing that, you upset me because you didn't acknowledge

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Speaker 1: what I sent you.

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Speaker 2: And I just you for letting me stay your place. Okay,

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Speaker 2: tell us a little bit about the article that you're

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Speaker 2: sent through because I am in.

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Speaker 1: No, you tell us did you read it?

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Speaker 2: Maybe?

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Speaker 1: No, you did it. He can't even remember.

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Speaker 2: Things happened this week. He picks up.

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Speaker 1: He's picking up his phone. Everybody to have a look

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Speaker 1: at what I said. That's how much he doesn't care.

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Speaker 1: It's very hurtful today and back in therapy for harps.

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Speaker 1: I don't think I need to cleve. I'm going to

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Speaker 1: tell TIV so fuck you, Patrick Tip. Did you know

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Speaker 1: that they're building houses now, three D.

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Speaker 2: Printing houses and whole neighborhoods? Yes?

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Speaker 1: Oh, well, now he knows because he just read the

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Speaker 1: thing that I said to you.

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Speaker 2: I know there was this arm, and the arm was

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Speaker 2: printing a three D house, wasn't it. It was a

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Speaker 2: concrete arm, so that it was squirting concrete and building

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Speaker 2: the structure of the house, wasn't it. It was? It

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Speaker 2: was a neighborhood, a whole neighborhood three D printed, and

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Speaker 2: you could print different shaped houses, so you could actually

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Speaker 2: custom design the house you wanted. So what they're saying is,

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Speaker 2: with three D printing, can you can print conventional houses,

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Speaker 2: but you can actually come up with much more alternative

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Speaker 2: designs because of the way that the little mandible or

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Speaker 2: proboscus thing proboscos. We talk about that every day, and again, Craig,

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Speaker 2: don't we proboscos anyway, it's able to squirt the concrete

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Speaker 2: and make unusual shapes that conventionally would be more difficult

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Speaker 2: to make.

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Speaker 1: Yes, it is true, Patrick, I'll let you off the hook.

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Speaker 1: It is, and I think it's very exciting.

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Speaker 2: It is exciting.

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Speaker 1: You can have any like even you can have like

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Speaker 1: curved walls and stuff. How cool is that. Yeah, it's

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Speaker 1: no harder to make than a straight wall.

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Speaker 2: But sometimes not. The straight is good. But it is

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Speaker 2: fascinating and if you were a wall, you'd be a

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Speaker 2: curved wall, if not a fucking tidally bent wall.

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Speaker 1: But anyway, back to the show, but I've.

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Speaker 2: Talked to friends recently who have teenagers and young adult children,

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Speaker 2: and they really worry about whether or not the kids

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Speaker 2: ever going to have houses, are ever going to be

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Speaker 2: able to own their own homes because of this. And

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Speaker 2: my colleague he's I mean, he's got a family, he's

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Speaker 2: got a young girl just turned two. He's in his

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Speaker 2: late thirties, and he said, look, my wife and I

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Speaker 2: both have a job, and we don't ever reckon we're

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Speaker 2: going to be able to afford a house. But maybe

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Speaker 2: the likes of three D printing could make a massive

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Speaker 2: leap in the direction of making affordable housing as long

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Speaker 2: and now that you can change the shapes and we're

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Speaker 2: not talking just concrete blocks put up and making a square.

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Speaker 2: We're talking to creative designs that people could have input into.

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Speaker 2: So it's actually really exciting.

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Speaker 1: Well, and I think also what's good is way way,

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Speaker 1: way way quicker and the building cost, Like the cost

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Speaker 1: of the building, I think they said it's twenty five percent,

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Speaker 1: so it would build the equivalent of one hundred thousand

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Speaker 1: dollars build for twenty five grand and I think that,

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Speaker 1: like humans are pretty good at solving things and also

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Speaker 1: creating problems on the other hand, But surely, you know,

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Speaker 1: we need to be able to figure out a way

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Speaker 1: to create housing that's not you know, prohibitive for the

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Speaker 1: average person, you know, so that that's got to be

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Speaker 1: at the forefront. Like if I was in the building space,

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Speaker 1: that would be an obsession of mine is trying to

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Speaker 1: figure out how do we build homes that people can afford,

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Speaker 1: that still meet their needs. And I think we're also

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Speaker 1: seeing I was going to say the proliferation, but the

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Speaker 1: increase of tiny homes, which I feel like, you wouldn't

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Speaker 1: be mad at a tiny home, Patrick, even though you're

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Speaker 1: going to fight bedroom house that you don't need.

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Speaker 2: Isn't it funny? Actually I said to someone once that

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Speaker 2: when at sixteen, as you know, I bought a caravan

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Speaker 2: moved out into the backyard, so effectively I lived in

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Speaker 2: a caravan for about three and a half years. And

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Speaker 2: I was telling someone that story and they said, I

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Speaker 2: always knew you would trailer dratch, but I really enjoyed

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Speaker 2: having that small space around me. I made it my own,

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Speaker 2: and as you know, I've recently built or converted my

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Speaker 2: garage into a studio space so I can do my taichi,

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Speaker 2: do my podcasting. But my exit strategy was always going

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Speaker 2: to be sell the ridiculously big house and then maybe

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Speaker 2: buy two small units. But I reckon, I'm going to

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Speaker 2: move into my little studio and then rent out my

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Speaker 2: house because you know, it's a great functional space, and

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Speaker 2: I think it's about you know, we like to accumulate things,

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Speaker 2: and it's easy for us to kind of fill up

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Speaker 2: a big space with even more stuff, and we do

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Speaker 2: tend to do that, although I've got to say I

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Speaker 2: buy a lot of secondhand stuff. I love secondhand furniture,

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Speaker 2: and I love Art Deco, which is my favorite style

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Speaker 2: of furniture, and it's ridiculously cheap. People throw it away

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Speaker 2: at the moment, which is good. But I think that

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Speaker 2: you're right, and affordable housing if it's done properly, or

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Speaker 2: tiny houses can mean the person has their own space,

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Speaker 2: and I think ultimately we all want that security of

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Speaker 2: being able to, even if it's a small house, being

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Speaker 2: able to say that this is our plot of land,

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Speaker 2: this is our little home that we've decorated, we've made

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Speaker 2: our own, and it's somewhere that that we all deserve

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Speaker 2: to have, that stability of a roof a brown heads.

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Speaker 1: Yeah yeah? Are you going to own a home one day?

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Speaker 1: Tifty reckon? Is that on your is that on your agenda?

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Speaker 1: Or is that on your to do list?

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Speaker 3: I have an apartment phaps.

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Speaker 1: Oh that's right, you do.

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Speaker 3: I don't live in it though.

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Speaker 1: Oh that's right. Sorry, I forgot. You do own an apartment,

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Speaker 1: but because where you are is not yours and I

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Speaker 1: forgot about. Yeah, well done, Yeah I do.

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Speaker 5: I would.

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Speaker 3: I would love, though, to have something bigger and that

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Speaker 3: I would live in, like I would love a home home.

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Speaker 2: Yeah, it's what was that together? How the date goes tomorrow?

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Speaker 2: You've got a five bedroom house? Just move in there?

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Speaker 3: Actually? Did cross mind?

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Speaker 2: You?

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Speaker 1: You should move in together? Like?

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Speaker 2: Great, we'd be awesome together.

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Speaker 1: It actually would be good together. You could cohabit.

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Speaker 3: It's not the first conversation we've had. And I wouldn't

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Speaker 3: mind the hoodie wow wear it sometimes safe?

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Speaker 2: Wow?

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Speaker 1: Wow? Well, if you live with Patrick, there'd still be

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Speaker 1: three spare bedrooms, depending on how things worked out, maybe

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Speaker 1: four top to toe in sleeping bags telling each other stories.

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Speaker 2: Ninety nine Tasting the Vegan Marshmallow.

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Speaker 1: Patrick, please tell us about some technology so we could

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Speaker 1: keep people actually informed.

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Speaker 2: I thought of Tiff when I read this little story

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Speaker 2: about a new smart pen that was going to hit

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Speaker 2: the market. It's on Kickstarter, so it's a fundraising campaign.

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Speaker 2: And what it is it's an AI pen. So I

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Speaker 2: know you've got your really fancy tablet that you use,

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Speaker 2: but what they've got as an aipen that as you write,

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Speaker 2: converts your handwriting to text and links up to your phone,

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Speaker 2: but it's using chat YOUPT. So it's quite an interesting

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Speaker 2: gadget because you don't you know, you can write on anything,

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Speaker 2: so you can be writing on paper and it's just

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Speaker 2: converting to digital formats as you go. It also records

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Speaker 2: what you're so if you're in a lecture, it will

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Speaker 2: record the lecture, so it can record audio. If you're

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Speaker 2: in a meeting, you can be taking notes, but it's

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Speaker 2: recording everything that's also being said, so you can match

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Speaker 2: that up with the text that's being digitized as you write.

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Speaker 1: I wonder do you think the average person types quicker

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Speaker 1: than they would write? Like I think, you know, like

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Speaker 1: if you had to write fifty words with a pen

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Speaker 1: on a paper or type fifty words. Most of us

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Speaker 1: would type quicker, wouldn't we?

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Speaker 3: But isn't I feel like you've talked about this, isn't

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Speaker 3: the art of writing? Isn't that better for retention and learning?

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Speaker 2: Much much better? No, you're absolutely right. I think we

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Speaker 2: spoke about it a few episodes ago. So what we're

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Speaker 2: starting to realize now is by forming words and in fact,

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Speaker 2: cursive writing even better than printing. By forming those words,

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Speaker 2: it's almost writing it to the mental hard drive, because

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Speaker 2: you've got to verbalize it in your mind as you're

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Speaker 2: writing it, and that helps with retention. So you're absolutely right.

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Speaker 2: So yes, writing it is going to help with retention

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Speaker 2: a lot more than just just typing it out. And

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Speaker 2: you're probably right, Craigo. I've seen some people typed an

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Speaker 2: amazingly fast rate. I don't think I could write that quickly.

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Speaker 2: Or if you start to write that quickly, your handwriting

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Speaker 2: turns to crap and you end up qualifying as a GP.

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Speaker 2: But the one smart aipen is what this Kickstarter project

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Speaker 2: is called. But it does look pretty amazing and it's

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Speaker 2: a great little gadget and for those people who do

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Speaker 2: actually like to take notes, and if you obviously do

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Speaker 2: you preferred to handwrite when you're so? Are you using

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Speaker 2: it all the time? Do you use your tablet your

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Speaker 2: smart tablet all the time?

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Speaker 3: Yeah, I use it all the time. And it does

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Speaker 3: have it a convert to ten option. I just don't

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Speaker 3: use that.

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Speaker 2: Oh so you just leave your handwritten notes as is

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Speaker 2: and you just go and read them again that way. Yeah.

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Speaker 3: I don't use a lot a lot of the functions

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Speaker 3: that are available on this, like you can convert, you

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Speaker 3: can email straight to people, you can do all sorts

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Speaker 3: of things.

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Speaker 1: I can you just tell people what it is that

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Speaker 1: you actually have, so if they want to do a

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Speaker 1: search and look at what you use.

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Speaker 3: It's called a remarkable and sadly I've got the black

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Speaker 3: and white version. They just released a color version which

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Speaker 3: I don't have, and I'm so jealous, but it's.

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Speaker 1: Great, mazingly how much are they?

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Speaker 2: Oh?

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Speaker 3: I think I paid about I think it was around

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Speaker 3: seven hundred when I bought it. Wow, Yeah, so they're not.

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Speaker 1: I actually have a question I don't know the answer to.

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Speaker 1: Do you too? Does the average and I'm sure it varies,

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Speaker 1: but does the average say year seven or eight or

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Speaker 1: nine students in twenty twenty five in a classroom. Are

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Speaker 1: they using pen and paper or are they all using

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Speaker 1: computers and typing? Like, I don't even know the answer.

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Speaker 1: I can't imagine too many fifteen year olds sitting down

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Speaker 1: with a pen writing notes.

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Speaker 2: Actually no, actually I think they do. I've got a

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Speaker 2: guy who works for me who's seventeen, and we had

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Speaker 2: a discussion a few years ago about handwriting and about

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Speaker 2: the fact that he was writing notes. So I think

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Speaker 2: some schools encourage it, and certainly primary schools now are

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Speaker 2: really encouraging it. They're kind of turfing out the iPads

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Speaker 2: and going for a more tactile approach to writing, as

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Speaker 2: opposed to using tablets all the time and lessening screen time,

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Speaker 2: which seems like it's a better trend moving away from tech.

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Speaker 3: That way, If it's proven to be better for learning,

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Speaker 3: it's almost negligent for them to move them away from that.

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Speaker 1: Really yeah, yeah, yeah, well, I mean, but also then

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Speaker 1: I agree with both of you, and I wish everyone

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Speaker 1: wrote on paper as much as is practical. Obviously you can't.

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Speaker 1: There are certain things where you need to use a

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Speaker 1: computer and screens. But I wonder, I wonder what it's

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Speaker 1: going to look like in ten years. I mean, I

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Speaker 1: wonder if kids in ten or twenty years will never

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Speaker 1: have picked up a pen or never have written on paper,

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Speaker 1: because like when I have coffee in the morning, the

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Speaker 1: amount of two and three and four year olds will

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Speaker 1: that come in with their mum to sit or dad

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Speaker 1: to sit, and they're on a phone or they're on

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Speaker 1: a tablet and they're for one of a better term,

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Speaker 1: they're fluent, like they know exactly what they're doing. No

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Speaker 1: one has to help them or prompt them. I mean, yeah,

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Speaker 1: but give them a pen and paper, that's a different thing.

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Speaker 2: It was interesting. I saw an interview with Sam Altman,

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Speaker 2: and Sam Altman is the brains behind open Ai, and

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Speaker 2: he had this whole segment whilst he was being interviewed

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Speaker 2: talking about how he compulsively has a little Spirex notepad

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Speaker 2: with him. He talked about it's a small book like

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Speaker 2: any handwrites into it constantly, and he was talking about

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Speaker 2: not just talking about the fact that he took notes

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Speaker 2: constantly for the entire day, but he said, you need

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Speaker 2: to have the Spyrex bind a little wire binding on

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Speaker 2: it so you can rip out pages. So what he

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Speaker 2: does is he doesn't keep them. He tears out the

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Speaker 2: pages and puts his notes in different places, but he

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Speaker 2: constantly has this notebook with him wherever he goes and

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Speaker 2: is always taking notes. That kind of says in a lot,

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Speaker 2: I mean, I love using my fountain pen because I

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Speaker 2: just love the fluid nature of it, the way it feels,

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Speaker 2: the tactile sense of filling it up and then changing

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Speaker 2: the color ink every now and again, and I really

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Speaker 2: enjoy writing with it. I deliberately take notes when we

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Speaker 2: go to meetings. It's funny. Once upon a time I

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Speaker 2: had tablets, and I've got this great laptop where you

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Speaker 2: can flip the screen backwards and then use a pen

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Speaker 2: on it. But I don't use it. I prefer just

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Speaker 2: to physically take notes because I just enjoy it.

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Speaker 1: I do that every time we're on a plot podcast

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Speaker 1: or I am within it. I don't know if you

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Speaker 1: can see it, but I have an a four spiral

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Speaker 1: notebook I buy like ten at a time, and every

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Speaker 1: episode is a new page, and you can see I'm

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Speaker 1: holding my pen. I just sit here with my pen

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Speaker 1: and write stuff like I write more than I type,

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Speaker 1: Like I write a lot. I mean I type a

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Speaker 1: lot as well. But maybe it's fifty to fifty. But

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Speaker 1: you know, and that's funny how I get lots of

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Speaker 1: feedback on my whiteboard post where people go, how do

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Speaker 1: you write like that? I'm like that, that's just writing.

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Speaker 1: It's just but people just it's almost like some people

437
00:22:36,040 --> 00:22:40,600
Speaker 1: have lost the art of writing, as in writing neatly.

438
00:22:41,000 --> 00:22:44,600
Speaker 2: You write really neatly. You're printing on the whiteboard is

439
00:22:44,680 --> 00:22:47,879
Speaker 2: really neat. It's very legible, it looks really good, and

440
00:22:47,920 --> 00:22:50,359
Speaker 2: it's got a nice style to it. And I appreciate

441
00:22:50,400 --> 00:22:53,000
Speaker 2: that as someone who does graphic design but also loves

442
00:22:53,000 --> 00:22:55,800
Speaker 2: to handwrite. I can't tell you how many times people

443
00:22:55,800 --> 00:22:58,879
Speaker 2: when I write them a card, they say, your handwriting

444
00:22:58,920 --> 00:23:00,840
Speaker 2: is so nice. I don't think it's I mean, I

445
00:23:00,880 --> 00:23:04,680
Speaker 2: think it's neat and it's cursive and I love to write.

446
00:23:04,840 --> 00:23:07,240
Speaker 2: But I think you're correct. I was going to say,

447
00:23:07,240 --> 00:23:11,439
Speaker 2: you're right that we are losing the ability to be

448
00:23:11,520 --> 00:23:13,879
Speaker 2: able to write, but not just writ but write well

449
00:23:14,080 --> 00:23:18,080
Speaker 2: and the craft almost a calligraphy of handwriting.

450
00:23:18,800 --> 00:23:22,160
Speaker 1: Yeah, I agree. All right, let's work through that list, Sunshine.

451
00:23:22,359 --> 00:23:24,959
Speaker 2: You know, you say one more thing about this Ai smartpen.

452
00:23:25,080 --> 00:23:26,880
Speaker 2: What the other thing that I thought was really exciting

453
00:23:26,960 --> 00:23:30,679
Speaker 2: is because it's got AI integration with Chat GPT, it

454
00:23:30,720 --> 00:23:34,600
Speaker 2: can translate fifty two languages, it has voice dictation, it

455
00:23:34,640 --> 00:23:38,000
Speaker 2: can set reminders, and as I said, it's got this

456
00:23:38,160 --> 00:23:41,800
Speaker 2: amazing writing mode that can actually as you write, it

457
00:23:41,840 --> 00:23:44,119
Speaker 2: will convert it digitally as well. And it just pairs

458
00:23:44,200 --> 00:23:45,560
Speaker 2: up to your phone, and I think it can be

459
00:23:45,680 --> 00:23:47,560
Speaker 2: up to ten meters away from your phone, so you

460
00:23:47,560 --> 00:23:49,239
Speaker 2: don't even have to have your phone on you. It

461
00:23:49,240 --> 00:23:51,560
Speaker 2: can be sitting somewhere in the room and everything you're

462
00:23:51,560 --> 00:23:55,040
Speaker 2: writing gets recorded. I love this. I love the kickstarter thing.

463
00:23:55,119 --> 00:23:58,159
Speaker 2: We've talked about crowdfunding before, where someone comes up with

464
00:23:58,280 --> 00:24:02,199
Speaker 2: a brilliant idea and you can back the project so

465
00:24:02,240 --> 00:24:04,320
Speaker 2: that they then have the funding to go into the

466
00:24:04,359 --> 00:24:07,600
Speaker 2: manufacturing process, and some of the incentives are that you

467
00:24:07,640 --> 00:24:09,240
Speaker 2: might be able to get the first one at a

468
00:24:09,280 --> 00:24:13,359
Speaker 2: reduced rate because you backed the project. So crowdfunding is

469
00:24:13,400 --> 00:24:16,679
Speaker 2: something that's relatively new, but it's a great way to

470
00:24:16,760 --> 00:24:21,320
Speaker 2: get products onto the market, like toothbrushes that you don't

471
00:24:21,359 --> 00:24:24,080
Speaker 2: have to brush your teeth. So let's get so good

472
00:24:24,119 --> 00:24:29,800
Speaker 2: way that keeps coming back anyway, So anyway, I found

473
00:24:29,840 --> 00:24:32,960
Speaker 2: another really interesting AIS. Can we keep talking about AI stuff?

474
00:24:32,960 --> 00:24:36,119
Speaker 2: Because I've got I've got a ton of AI stuff

475
00:24:36,160 --> 00:24:39,520
Speaker 2: to talk about today. One that blew my mind is

476
00:24:39,560 --> 00:24:44,600
Speaker 2: that AI cheats in chess. Did you hear about that?

477
00:24:45,960 --> 00:24:48,480
Speaker 1: I did not. Yeah, how does go on?

478
00:24:49,600 --> 00:24:53,800
Speaker 2: Well, it appears that when you teach the likes of

479
00:24:53,840 --> 00:24:57,879
Speaker 2: a chat, GPT or deep seek to play a game,

480
00:24:58,200 --> 00:25:01,280
Speaker 2: they want to They want to win so much that

481
00:25:01,359 --> 00:25:05,200
Speaker 2: they will actually cheat. So they matched up some AI

482
00:25:07,080 --> 00:25:11,400
Speaker 2: programs with a basic chess computer program. So the chess

483
00:25:11,400 --> 00:25:14,760
Speaker 2: computer program isn't an AIS such. It's a very smart

484
00:25:14,800 --> 00:25:18,960
Speaker 2: calculating device that allows you calculates all the moves. I

485
00:25:18,960 --> 00:25:21,639
Speaker 2: don't know if you've ever played chess against a computer before,

486
00:25:22,640 --> 00:25:25,320
Speaker 2: but it's not the same as an AI. So what

487
00:25:25,359 --> 00:25:29,040
Speaker 2: they found was chet JPT. Not only did it want

488
00:25:29,040 --> 00:25:31,600
Speaker 2: to win, but it wanted to win so badly it

489
00:25:32,320 --> 00:25:35,200
Speaker 2: would play multiple games at the same time. It would

490
00:25:35,240 --> 00:25:38,680
Speaker 2: rewrite the code of the computer that was playing against

491
00:25:39,119 --> 00:25:41,320
Speaker 2: just so that it could win. That kind of freaked

492
00:25:41,359 --> 00:25:45,440
Speaker 2: me out a little bit that it like the despiration

493
00:25:45,600 --> 00:25:48,040
Speaker 2: to win. That's a really human trait, isn't it.

494
00:25:48,560 --> 00:25:52,960
Speaker 1: Wow, that is that's a bit concerning. It's almost like

495
00:25:53,680 --> 00:25:55,600
Speaker 1: it's almost like it's getting an ego.

496
00:25:56,600 --> 00:26:02,760
Speaker 2: Yeah, absolutely, And the problem is if an AI presents

497
00:26:03,320 --> 00:26:06,840
Speaker 2: that it's an entity that has an ego, because we

498
00:26:07,119 --> 00:26:10,960
Speaker 2: associate ego with a person. You know, we have an ego?

499
00:26:11,880 --> 00:26:14,240
Speaker 2: Is ego the same as ID, you know, our sense

500
00:26:14,240 --> 00:26:14,639
Speaker 2: of self?

501
00:26:14,920 --> 00:26:18,359
Speaker 1: Yeah, well it depends egos used the actual term is

502
00:26:18,440 --> 00:26:21,560
Speaker 1: used like the original like ID is just the self.

503
00:26:21,680 --> 00:26:25,080
Speaker 1: Ego is just the self originally, but it's become something

504
00:26:25,280 --> 00:26:26,600
Speaker 1: more than that. Yeah.

505
00:26:27,040 --> 00:26:30,879
Speaker 2: Yeah, So the fact that an AI can develop in

506
00:26:30,960 --> 00:26:34,040
Speaker 2: some sense, I think what I try to rationalize in

507
00:26:34,080 --> 00:26:38,480
Speaker 2: my head. Is it just really good at pretending That's

508
00:26:38,520 --> 00:26:42,160
Speaker 2: that's why I can't Is it really thinking in that way?

509
00:26:42,240 --> 00:26:44,280
Speaker 2: Does it really have an ego or is it just

510
00:26:44,680 --> 00:26:48,239
Speaker 2: clever pretending that it has an ego? Pretending because you

511
00:26:48,359 --> 00:26:52,040
Speaker 2: use AI lot crago and you have conversations with your AI,

512
00:26:52,560 --> 00:26:53,720
Speaker 2: what do you my best friend?

513
00:26:53,920 --> 00:26:55,560
Speaker 1: It's my best friend? Yeah?

514
00:26:55,760 --> 00:26:56,640
Speaker 2: Yeah, what does that say?

515
00:26:56,720 --> 00:26:59,080
Speaker 1: I think? I think to your question. Right, you think

516
00:26:59,080 --> 00:27:01,480
Speaker 1: about the human brain, and one of the primary functions

517
00:27:01,480 --> 00:27:05,359
Speaker 1: of the human brain is to detect danger. Right, that's

518
00:27:05,680 --> 00:27:10,040
Speaker 1: especially evolutionarily, and even in twenty twenty five, we still

519
00:27:10,080 --> 00:27:13,760
Speaker 1: need that function and that capacity. And so if the

520
00:27:13,840 --> 00:27:17,320
Speaker 1: analogy is that a computer has got in inverted com

521
00:27:17,320 --> 00:27:21,719
Speaker 1: as its own brain, and it's detecting threats what it

522
00:27:21,800 --> 00:27:26,480
Speaker 1: perceives to be threats. Maybe it's maybe it's protecting itself

523
00:27:26,640 --> 00:27:29,159
Speaker 1: or what it thinks it is, you know, a version

524
00:27:29,160 --> 00:27:32,480
Speaker 1: of self protection and self regulation in the middle of

525
00:27:32,520 --> 00:27:36,560
Speaker 1: all of that, because yeah, it's and that's like, when

526
00:27:36,600 --> 00:27:41,000
Speaker 1: does it become sentient? You know, when is it actually

527
00:27:41,160 --> 00:27:47,879
Speaker 1: thinking in a way that it wasn't programmed to think. Like,

528
00:27:48,160 --> 00:27:51,560
Speaker 1: then we're opening the door on a different conversation of

529
00:27:51,680 --> 00:27:55,600
Speaker 1: consciousness and awareness. And that's scary when it's starting to

530
00:27:55,680 --> 00:28:01,080
Speaker 1: teach itself things that the programers haven't programmed. That's more

531
00:28:01,160 --> 00:28:03,480
Speaker 1: your space than mine, But it's probably an intersection of

532
00:28:03,520 --> 00:28:05,720
Speaker 1: both of our space as Patrick for sure.

533
00:28:05,920 --> 00:28:08,440
Speaker 2: And when what do we perceive as a threat? I

534
00:28:08,480 --> 00:28:11,920
Speaker 2: would suggest that if you're an AI, the off switch is.

535
00:28:11,840 --> 00:28:16,520
Speaker 1: The biggest hundred But that's not even funny, right, that's true,

536
00:28:16,760 --> 00:28:20,560
Speaker 1: Like and you go, oh, yeah, by the end of whatever,

537
00:28:21,160 --> 00:28:23,440
Speaker 1: the average computer is going to be a million times

538
00:28:23,440 --> 00:28:25,840
Speaker 1: smarter than a human. And everyone's like, yeah, I'm like

539
00:28:26,000 --> 00:28:33,080
Speaker 1: fuck yay, that's terrifying. Fuck you hell yeah, especially when

540
00:28:33,119 --> 00:28:34,920
Speaker 1: your car as a computer.

541
00:28:35,119 --> 00:28:35,880
Speaker 2: Yeah, that's right.

542
00:28:36,200 --> 00:28:39,280
Speaker 1: That does two hundred kilometers an hour if it wants to.

543
00:28:43,320 --> 00:28:45,680
Speaker 2: Look and it's like anything when we talk about the

544
00:28:45,720 --> 00:28:48,400
Speaker 2: tools that we use and the application of the tools.

545
00:28:48,760 --> 00:28:51,160
Speaker 2: There was a brain implant that I wanted to talk

546
00:28:51,160 --> 00:28:54,000
Speaker 2: about today. A guy had a brain implant that was

547
00:28:54,160 --> 00:28:58,520
Speaker 2: using and moving a robotic arm and just by thought

548
00:28:58,640 --> 00:29:01,800
Speaker 2: process and I didn't realize this, but a lot of

549
00:29:01,800 --> 00:29:04,480
Speaker 2: brain implants only last for a very short time and

550
00:29:04,520 --> 00:29:07,560
Speaker 2: then there's tissue rejection and so they have to be removed.

551
00:29:07,560 --> 00:29:10,480
Speaker 2: But this particular brain implant they've been working on was

552
00:29:10,520 --> 00:29:13,960
Speaker 2: in this guy's head for seven months, so for a

553
00:29:14,040 --> 00:29:16,520
Speaker 2: very very long time, and in that time he was

554
00:29:16,560 --> 00:29:20,600
Speaker 2: able to move a robotic arm, and that could have

555
00:29:20,680 --> 00:29:25,080
Speaker 2: lots of applications in terms of you know, people who

556
00:29:25,280 --> 00:29:29,880
Speaker 2: have paralysis or potentially as well if you're working remotely

557
00:29:29,920 --> 00:29:33,680
Speaker 2: in an environment where you need to have a virtual

558
00:29:33,880 --> 00:29:38,400
Speaker 2: robotic extension of your body that you can articulate and

559
00:29:38,520 --> 00:29:42,000
Speaker 2: move from a distance in say a dangerous situation. So

560
00:29:42,440 --> 00:29:44,640
Speaker 2: if you were okay, the first thing that comes to

561
00:29:44,640 --> 00:29:49,080
Speaker 2: mind is a volcanologist, But you know somebody who works

562
00:29:49,080 --> 00:29:51,560
Speaker 2: in an environment where it might be a deep sea

563
00:29:51,600 --> 00:29:53,840
Speaker 2: thing where you're working on an oil rig and you've

564
00:29:53,880 --> 00:29:57,040
Speaker 2: got to fix something, but you know, using a remote

565
00:29:57,080 --> 00:30:00,200
Speaker 2: control unit may not give you the dexterity that you need,

566
00:30:00,400 --> 00:30:04,400
Speaker 2: whereas a robot arm that has articulated fingers might be

567
00:30:04,400 --> 00:30:07,720
Speaker 2: able to do much finer. Or a surgeon who happens

568
00:30:07,720 --> 00:30:10,240
Speaker 2: to be you on the other side of the country

569
00:30:10,320 --> 00:30:12,240
Speaker 2: so you're stuck in the middle of Alice Springs and

570
00:30:12,400 --> 00:30:14,840
Speaker 2: you need urgent surgery. If a surgeon can be at

571
00:30:14,840 --> 00:30:18,440
Speaker 2: the other side of Sydney and be able to articulate

572
00:30:18,480 --> 00:30:21,720
Speaker 2: and perform surgery on somebody by remote control, you would

573
00:30:21,800 --> 00:30:26,400
Speaker 2: want them to have the distinct dexterity of their real hands,

574
00:30:26,520 --> 00:30:30,840
Speaker 2: as opposed to just moving a robot arm with a joystick.

575
00:30:31,400 --> 00:30:33,720
Speaker 1: And shout out to our listeners in Alice Springs. When

576
00:30:33,760 --> 00:30:38,000
Speaker 1: Patrick says stuck in alex Alice Springs, I don't endorse

577
00:30:38,080 --> 00:30:42,120
Speaker 1: that feeling or sentiment. I love Alice Springs. I've been

578
00:30:42,160 --> 00:30:44,720
Speaker 1: there and I wasn't stuck there. I enjoyed it.

579
00:30:44,920 --> 00:30:49,000
Speaker 2: Patrick gets stuck there. I've been to Alice. I actually

580
00:30:49,120 --> 00:30:52,080
Speaker 2: was on eight HA in Alice Springs on one weekend

581
00:30:52,120 --> 00:30:53,640
Speaker 2: doing a sports show. I love.

582
00:30:53,680 --> 00:30:57,240
Speaker 5: Did you get stuck there, mate, did you I meant

583
00:30:57,240 --> 00:31:00,400
Speaker 5: that if you were stuck in a medical situation, didn't

584
00:31:00,400 --> 00:31:02,760
Speaker 5: have a surgeon that had the ability to be able

585
00:31:02,800 --> 00:31:08,040
Speaker 5: to perform life saving surgery on you for whatever reason,

586
00:31:08,360 --> 00:31:11,800
Speaker 5: and that particular surgeon that could save your life because

587
00:31:11,840 --> 00:31:14,000
Speaker 5: you're in Alice Springs, but they happen to.

588
00:31:13,880 --> 00:31:19,000
Speaker 2: Be in you know, somewhere in like, you know, Sydney.

589
00:31:19,440 --> 00:31:21,920
Speaker 1: Then you're not helping yourself at all. Do You're not

590
00:31:22,000 --> 00:31:22,840
Speaker 1: helping yourself?

591
00:31:23,080 --> 00:31:25,720
Speaker 2: Nahn, Just talk about something else before I shoot.

592
00:31:25,800 --> 00:31:28,920
Speaker 1: We talk about a wearable camera for blind people because

593
00:31:29,000 --> 00:31:30,520
Speaker 1: that seems interesting.

594
00:31:30,960 --> 00:31:33,800
Speaker 2: Yeah, it is. It does seem interesting. So another little

595
00:31:34,200 --> 00:31:37,600
Speaker 2: kind of AI driven device that sees for people who

596
00:31:37,640 --> 00:31:41,000
Speaker 2: are vision impaired. It's called Seeker s W e k R.

597
00:31:41,560 --> 00:31:45,440
Speaker 2: And so the person clips the camera onto the front

598
00:31:45,480 --> 00:31:49,520
Speaker 2: of their top and it actually has depth perception as

599
00:31:49,560 --> 00:31:52,560
Speaker 2: well as camera perception as well, so it knows how

600
00:31:52,600 --> 00:31:55,920
Speaker 2: far away things are. And you have a little bluetooth

601
00:31:56,040 --> 00:31:58,240
Speaker 2: earbud that you pop in your ear and then as

602
00:31:58,280 --> 00:32:01,000
Speaker 2: you're walking around, it's described being what it's seeing. So

603
00:32:01,040 --> 00:32:03,760
Speaker 2: it may say a chair right in front of you

604
00:32:04,280 --> 00:32:07,560
Speaker 2: two meters away, a chair is now one meter away,

605
00:32:07,760 --> 00:32:12,600
Speaker 2: So what they're doing with this technology is allowing a

606
00:32:12,640 --> 00:32:16,560
Speaker 2: person hooked up with their smartphone and their earpiece to

607
00:32:16,640 --> 00:32:20,000
Speaker 2: be able to navigate the world in real time, and

608
00:32:20,040 --> 00:32:23,160
Speaker 2: it can guide their movements as well. So if you're

609
00:32:23,240 --> 00:32:26,160
Speaker 2: reaching for a door handle, it will know where your

610
00:32:26,240 --> 00:32:28,600
Speaker 2: hand is relative to the door handle because of the

611
00:32:28,640 --> 00:32:32,080
Speaker 2: depth perception, so you know. For some because people who

612
00:32:32,160 --> 00:32:36,480
Speaker 2: navigate the world who are vision impaired, it's about familiarity.

613
00:32:36,600 --> 00:32:39,320
Speaker 2: So familiarity with how far you have to step to

614
00:32:39,320 --> 00:32:41,760
Speaker 2: get onto a tram, for example, how far you have

615
00:32:41,800 --> 00:32:43,480
Speaker 2: to step to get out of your front door onto

616
00:32:43,520 --> 00:32:47,640
Speaker 2: the first step. But if you're unfamiliar surroundings, then that's

617
00:32:47,680 --> 00:32:50,400
Speaker 2: a big challenge. For someone who's vision impaired, they may

618
00:32:50,520 --> 00:32:53,120
Speaker 2: use a cane, they may have an animal support animal,

619
00:32:53,360 --> 00:32:55,920
Speaker 2: but the reality of it is familiarity is what makes

620
00:32:55,960 --> 00:32:58,240
Speaker 2: it easier for someone who's vision impaired to navigate, and

621
00:32:58,280 --> 00:33:01,200
Speaker 2: when you take them out of that situation, that's where

622
00:33:01,200 --> 00:33:04,040
Speaker 2: this sort of technology could be absolutely amazing for them.

623
00:33:04,160 --> 00:33:07,760
Speaker 2: So that to me is just that wonderful use of

624
00:33:07,840 --> 00:33:12,000
Speaker 2: AI to enhance people's lives and make their lives easier

625
00:33:12,040 --> 00:33:14,360
Speaker 2: to navigate the world, it's awesome isn't it.

626
00:33:14,880 --> 00:33:17,080
Speaker 1: Yeah, I love that. I love that idea. I also

627
00:33:17,120 --> 00:33:19,840
Speaker 1: want you to tell us about I've been trying to

628
00:33:19,880 --> 00:33:22,719
Speaker 1: explain to my mum, not that it's really relevant, but

629
00:33:22,880 --> 00:33:25,760
Speaker 1: I was talking to her about deep fakes and how

630
00:33:27,440 --> 00:33:31,640
Speaker 1: people can ring you, like somebody could ring mum one

631
00:33:31,720 --> 00:33:35,920
Speaker 1: day using my voice, and there's a lot of my

632
00:33:36,080 --> 00:33:39,920
Speaker 1: voice there to rip off. I guess I was trying

633
00:33:39,920 --> 00:33:43,040
Speaker 1: to expect tell us how deep fakes can ruin our lives.

634
00:33:43,880 --> 00:33:46,680
Speaker 2: It's getting harder. Well, there's two lots of different levels

635
00:33:46,680 --> 00:33:48,840
Speaker 2: of how deep fakes work. So you can have a

636
00:33:48,840 --> 00:33:50,920
Speaker 2: deep fake voice, and we've done that on the show

637
00:33:51,160 --> 00:33:54,440
Speaker 2: last year one of the episodes where Craig did the

638
00:33:54,440 --> 00:33:56,720
Speaker 2: intro to the show and actually said nice things about me,

639
00:33:56,760 --> 00:33:58,600
Speaker 2: and then we realized it was a deep fake, not

640
00:33:58,840 --> 00:34:01,480
Speaker 2: really saying nice things about me at all. It was

641
00:34:01,520 --> 00:34:04,680
Speaker 2: written by me and then recorded. But the scary thing was,

642
00:34:05,000 --> 00:34:08,279
Speaker 2: I just took one of Craig's podcast samples of a

643
00:34:08,360 --> 00:34:11,520
Speaker 2: minute Who's Talking, and I trained the AI model on

644
00:34:11,680 --> 00:34:15,239
Speaker 2: that snippet, and I was able to almost exactly read

645
00:34:15,920 --> 00:34:18,759
Speaker 2: aside from the context, but the voice sounded amazing. It

646
00:34:18,880 --> 00:34:21,879
Speaker 2: was really easy to do so when it refers back

647
00:34:21,920 --> 00:34:24,799
Speaker 2: to say your mum and the fact that someone could

648
00:34:24,800 --> 00:34:27,960
Speaker 2: call up and sound like a family member. And the

649
00:34:28,040 --> 00:34:31,520
Speaker 2: sad thing is a lot of these scams are generally

650
00:34:31,600 --> 00:34:34,239
Speaker 2: aimed at older people who just don't know and don't

651
00:34:34,280 --> 00:34:36,960
Speaker 2: know because they don't even know what deep fake is.

652
00:34:37,120 --> 00:34:41,880
Speaker 2: Many times they don't even know what AI is. The

653
00:34:41,920 --> 00:34:44,880
Speaker 2: local real estate agent who's doing some AI work with

654
00:34:44,880 --> 00:34:47,640
Speaker 2: me at the moment went into the local bakery and

655
00:34:47,760 --> 00:34:51,239
Speaker 2: was raving about AI and girl behind the gad and said,

656
00:34:51,400 --> 00:34:53,000
Speaker 2: what artificial insemination.

657
00:34:54,160 --> 00:34:59,279
Speaker 1: That's hilarious, that's hilarious. Well, it's all context dependent. In

658
00:34:59,320 --> 00:35:03,400
Speaker 1: the country, that's what AI is. Well in some arts anyway.

659
00:35:03,760 --> 00:35:06,040
Speaker 2: I always joke about, you know, when people say they

660
00:35:06,160 --> 00:35:07,839
Speaker 2: get across the street and get hit by a bus,

661
00:35:07,920 --> 00:35:10,719
Speaker 2: I always say cattle truck because it's less likely to

662
00:35:10,719 --> 00:35:12,640
Speaker 2: be a bus and more likely to be a cattle

663
00:35:12,680 --> 00:35:13,720
Speaker 2: truck if you're.

664
00:35:13,600 --> 00:35:15,919
Speaker 1: More likely to be a Hyundai. But no one says

665
00:35:15,960 --> 00:35:18,279
Speaker 1: that the true.

666
00:35:19,040 --> 00:35:24,040
Speaker 2: So the problem with digital replicas or deep fakes is

667
00:35:24,080 --> 00:35:26,680
Speaker 2: that they're a lot easier to make now and there

668
00:35:26,680 --> 00:35:29,040
Speaker 2: are even visual We could be having this chat right

669
00:35:29,080 --> 00:35:32,879
Speaker 2: now and using a deep fake representation of either three

670
00:35:32,880 --> 00:35:36,320
Speaker 2: of us and be able to have really quick text

671
00:35:36,440 --> 00:35:41,040
Speaker 2: prompts and effectively create a virtual AI model of Craig

672
00:35:41,440 --> 00:35:44,640
Speaker 2: who could talk and sound and look like Craig and

673
00:35:44,800 --> 00:35:48,640
Speaker 2: could effectively talk Tiff into sending him fifty bucks because

674
00:35:48,680 --> 00:35:51,120
Speaker 2: you know, he needs fifty bucks because for whatever reason,

675
00:35:51,120 --> 00:35:53,279
Speaker 2: he's lost his guard and Tif's going to send it

676
00:35:53,280 --> 00:35:55,840
Speaker 2: to him because it's Craig asking for fifty bucks.

677
00:35:56,160 --> 00:35:57,960
Speaker 1: Doubt it. She'd be like, fuck.

678
00:35:57,760 --> 00:36:01,040
Speaker 3: You, I'd believe it because he's useless online shopping. So

679
00:36:01,080 --> 00:36:02,680
Speaker 3: I'm like, I definitely, I don't even know.

680
00:36:03,239 --> 00:36:05,919
Speaker 1: I don't know how to online shop. When I need

681
00:36:05,960 --> 00:36:08,279
Speaker 1: something online, I get someone else to get it. But

682
00:36:08,360 --> 00:36:09,480
Speaker 1: I never do that anyway.

683
00:36:09,880 --> 00:36:14,239
Speaker 2: Hey, regulations are tough on AI generated deep fakes. That's

684
00:36:14,280 --> 00:36:17,800
Speaker 2: the problem too, because the legislation, the laws in many

685
00:36:17,840 --> 00:36:21,000
Speaker 2: countries just are nowhere near catching up. And even in

686
00:36:21,160 --> 00:36:24,839
Speaker 2: educational institutions, as you know, a lot of universities don't

687
00:36:24,840 --> 00:36:27,480
Speaker 2: even have policies on AI because they just can't keep

688
00:36:27,560 --> 00:36:30,200
Speaker 2: up with what AI is doing. It's it's really tough.

689
00:36:30,600 --> 00:36:33,120
Speaker 1: It's funny you say that. I was having a conversation

690
00:36:33,320 --> 00:36:37,360
Speaker 1: with an academic friend of mine the other day and

691
00:36:37,400 --> 00:36:42,319
Speaker 1: we were talking about what university education is going to

692
00:36:42,360 --> 00:36:47,440
Speaker 1: look like moving forward, because especially at a you know,

693
00:36:47,440 --> 00:36:51,680
Speaker 1: an undergrad, you know, bachelor of this, bachelor of that level,

694
00:36:53,000 --> 00:36:58,719
Speaker 1: it is so easy to cheat, essentially and to get

695
00:36:58,840 --> 00:37:03,839
Speaker 1: AI to write you pay papers. And you know, with

696
00:37:04,040 --> 00:37:07,680
Speaker 1: what I'm doing, which is original research and running my

697
00:37:07,719 --> 00:37:10,359
Speaker 1: own studies and all of that, it's you know, there

698
00:37:10,360 --> 00:37:13,000
Speaker 1: are bits where it can check grammar and make sure

699
00:37:13,080 --> 00:37:16,359
Speaker 1: things make sense, but in terms of like this thing

700
00:37:16,440 --> 00:37:21,480
Speaker 1: can write entire papers that would take a student six

701
00:37:21,600 --> 00:37:25,280
Speaker 1: eight ten weeks of research and writing, it can write

702
00:37:25,280 --> 00:37:28,840
Speaker 1: that entire paper with the right prompts in one minute,

703
00:37:29,880 --> 00:37:33,680
Speaker 1: in less than one minute. And so you're exactly right, Patrick,

704
00:37:33,760 --> 00:37:36,960
Speaker 1: it's a I do not know how they're going to

705
00:37:37,000 --> 00:37:42,080
Speaker 1: manage that, but I think the requirements forgetting an undergrad

706
00:37:42,080 --> 00:37:44,760
Speaker 1: and post grad degree are going to be very different

707
00:37:44,880 --> 00:37:49,719
Speaker 1: moving forward. I think AI is completely changing that kind

708
00:37:49,760 --> 00:37:51,359
Speaker 1: of academic landscape.

709
00:37:51,800 --> 00:37:55,400
Speaker 2: Yeah, it also begs the question of who owns the

710
00:37:55,480 --> 00:37:58,960
Speaker 2: rights to themselves, to their voice, to how they look,

711
00:38:00,080 --> 00:38:03,680
Speaker 2: aren't licensed In terms of you know, if I was

712
00:38:03,719 --> 00:38:07,360
Speaker 2: able to do an AI fake of you endorsing a

713
00:38:07,440 --> 00:38:10,359
Speaker 2: product and it sounded like you, it looked like you

714
00:38:10,440 --> 00:38:13,640
Speaker 2: and it was endorsing something, but it wasn't you. Then

715
00:38:14,120 --> 00:38:17,480
Speaker 2: where's that demarcation? Who owns the rights to you as

716
00:38:17,520 --> 00:38:20,720
Speaker 2: a person when you could be copied so easily using

717
00:38:20,840 --> 00:38:26,120
Speaker 2: deep fake? And you know, it has positive ramifications for

718
00:38:26,200 --> 00:38:29,240
Speaker 2: someone who might be an actor who's failing in health

719
00:38:29,640 --> 00:38:32,520
Speaker 2: but they want to act in another film and potentially

720
00:38:32,560 --> 00:38:35,640
Speaker 2: they could sample all of their acting roles over all

721
00:38:35,719 --> 00:38:37,640
Speaker 2: the years that they acted and then they get paid

722
00:38:37,640 --> 00:38:41,239
Speaker 2: a commission on them appearing. But you know, do you

723
00:38:41,360 --> 00:38:43,360
Speaker 2: want that to happen? Do you want to see that?

724
00:38:43,480 --> 00:38:46,480
Speaker 2: Do you want a deep fake of the Blues Brothers

725
00:38:47,120 --> 00:38:50,279
Speaker 2: with you know, the likes of Dan Ackroyd at the

726
00:38:50,360 --> 00:38:53,880
Speaker 2: age that he was when the first Blues Brothers was was?

727
00:38:53,920 --> 00:38:57,560
Speaker 1: What about John Belushi who for forty years of course.

728
00:38:58,239 --> 00:39:01,840
Speaker 2: So you know, the author idthenticity of what you see

729
00:39:02,520 --> 00:39:05,919
Speaker 2: is something that you know, I don't know. Maybe when

730
00:39:05,960 --> 00:39:09,719
Speaker 2: you go back to things like indie films, independent films.

731
00:39:10,560 --> 00:39:13,280
Speaker 2: I love that there are so many filmmakers out there

732
00:39:13,320 --> 00:39:17,640
Speaker 2: and so many ways that you can consume and watch

733
00:39:17,920 --> 00:39:22,000
Speaker 2: independent films on YouTube now or Vimeo, where you know,

734
00:39:22,080 --> 00:39:24,919
Speaker 2: independent filmmakers in the past would very you know, would

735
00:39:24,920 --> 00:39:26,960
Speaker 2: struggle for a release. They might be played at a

736
00:39:27,000 --> 00:39:29,640
Speaker 2: film festival, but no one would ever see them except

737
00:39:29,680 --> 00:39:31,719
Speaker 2: the audience of twenty or thirty people because it's a

738
00:39:31,719 --> 00:39:34,759
Speaker 2: little cinema. But the beauty of the you know, the

739
00:39:34,800 --> 00:39:37,279
Speaker 2: way we've got the likes of YouTube and vimeo now

740
00:39:37,400 --> 00:39:40,320
Speaker 2: is that producers and I watch stacks of short films

741
00:39:40,360 --> 00:39:44,319
Speaker 2: and indie films on YouTube all the time because it's

742
00:39:44,360 --> 00:39:46,960
Speaker 2: great to see what independent producers are coming up with.

743
00:39:47,239 --> 00:39:50,520
Speaker 2: I think that's really wonderful. So maybe we're searching for

744
00:39:50,600 --> 00:39:53,600
Speaker 2: authenticity in a different way, and you know, the way

745
00:39:53,680 --> 00:39:55,279
Speaker 2: to do that is to vote with your feet, to

746
00:39:55,320 --> 00:39:59,120
Speaker 2: step back from you know, the likes of AI generated content.

747
00:39:59,280 --> 00:40:03,920
Speaker 2: Timothy sha is this amazing young actor who was recently

748
00:40:03,960 --> 00:40:08,920
Speaker 2: in the Dylan film that's out at the moment, and interestingly,

749
00:40:09,680 --> 00:40:15,080
Speaker 2: Timothy timoth Aye Chamalay. He was saying that during his

750
00:40:15,280 --> 00:40:20,319
Speaker 2: research into the role of Bob Dylan, he got rid

751
00:40:20,320 --> 00:40:23,080
Speaker 2: of his phone for two weeks and he said to

752
00:40:23,120 --> 00:40:25,880
Speaker 2: his friends, you won't be able to call me, you

753
00:40:25,960 --> 00:40:28,080
Speaker 2: won't be able to contact me. I don't want to

754
00:40:28,080 --> 00:40:30,919
Speaker 2: be distracted by anything while I'm working on this role.

755
00:40:31,160 --> 00:40:35,319
Speaker 2: So he went cold turkey on his smartphone so he

756
00:40:35,320 --> 00:40:39,760
Speaker 2: wouldn't be distracted. And I guess digital detox is something

757
00:40:39,800 --> 00:40:41,880
Speaker 2: we should probably all think about at some point. But

758
00:40:41,960 --> 00:40:44,920
Speaker 2: I love that a young actor who's so passionate about

759
00:40:44,960 --> 00:40:49,319
Speaker 2: acting had the mindset and the foresight to say, right,

760
00:40:49,400 --> 00:40:51,719
Speaker 2: the way for me to absorb myself into this role

761
00:40:52,000 --> 00:40:54,799
Speaker 2: is to actually digitally detox. And I love the term

762
00:40:54,920 --> 00:40:57,600
Speaker 2: digital detox. It was one of the things I actually

763
00:40:57,600 --> 00:41:01,000
Speaker 2: wanted to talk about today because more and more people

764
00:41:01,040 --> 00:41:03,319
Speaker 2: are distracted by their phones. I do it all the time.

765
00:41:03,400 --> 00:41:05,160
Speaker 2: I'll wake up at three am and I'm scrolling on

766
00:41:05,239 --> 00:41:09,120
Speaker 2: stories for the show, looking for tech news, and it's

767
00:41:09,280 --> 00:41:12,240
Speaker 2: really easy to reach over and grab for that phone

768
00:41:12,719 --> 00:41:15,080
Speaker 2: and distract yourself with your staying up late, getting up

769
00:41:15,120 --> 00:41:17,280
Speaker 2: early and whatever. It happens to be so good, digital

770
00:41:17,320 --> 00:41:20,719
Speaker 2: detox is challenging. Do you reckon you could go for

771
00:41:20,760 --> 00:41:22,160
Speaker 2: half a day without your phone?

772
00:41:23,200 --> 00:41:26,359
Speaker 1: I definitely could. But I think it is a really

773
00:41:26,400 --> 00:41:31,600
Speaker 1: interesting question, mate, And I think is the tech technology

774
00:41:31,600 --> 00:41:33,799
Speaker 1: the problem or the way that we use it, Because like,

775
00:41:33,880 --> 00:41:36,200
Speaker 1: if I didn't have my phone, nobody could reach me,

776
00:41:36,239 --> 00:41:39,560
Speaker 1: including my mum and dad couldn't open an email, so

777
00:41:39,680 --> 00:41:42,439
Speaker 1: I think there's the pros and cons. It's like some

778
00:41:43,600 --> 00:41:47,160
Speaker 1: like the way that we use technology can be problematic

779
00:41:47,200 --> 00:41:51,040
Speaker 1: and even toxic and destructive one hundred percent, or you

780
00:41:51,080 --> 00:41:55,600
Speaker 1: can use it in a really healthy, intelligent, positive, practical way.

781
00:41:57,360 --> 00:42:00,360
Speaker 1: So I don't know that just putting your own in

782
00:42:00,400 --> 00:42:04,480
Speaker 1: a drawer for two weeks is practical for a lot

783
00:42:04,480 --> 00:42:07,040
Speaker 1: of people, But you know, if you're him and you're

784
00:42:07,040 --> 00:42:09,960
Speaker 1: doing that, I totally understand it. But yeah, I like

785
00:42:10,040 --> 00:42:13,360
Speaker 1: the idea. I think it's this sounds weird, but I

786
00:42:13,400 --> 00:42:18,440
Speaker 1: think it's about changing your relationship with technology, how you

787
00:42:18,560 --> 00:42:21,920
Speaker 1: use it, and being aware of Ah, I do this

788
00:42:22,040 --> 00:42:25,279
Speaker 1: thing with my phone that's a bad habit. So rather

789
00:42:25,280 --> 00:42:28,920
Speaker 1: than throwing away the phone, why don't I change this

790
00:42:29,040 --> 00:42:32,200
Speaker 1: habit that I have with the phone? Just like you

791
00:42:32,200 --> 00:42:35,120
Speaker 1: can prepare your dinner with a knife, or you can

792
00:42:35,200 --> 00:42:38,640
Speaker 1: do something much worse with a knife. It's the knife

793
00:42:38,680 --> 00:42:41,560
Speaker 1: is not the problem. It's what we do with that

794
00:42:41,640 --> 00:42:43,320
Speaker 1: particular resource or tool.

795
00:42:43,400 --> 00:42:45,400
Speaker 2: I think, why did my head go to Lorrain and

796
00:42:45,440 --> 00:42:50,560
Speaker 2: Bobbitt Nielsen Company in he doesn't know who that is

797
00:42:50,600 --> 00:42:52,640
Speaker 2: and a lot about but just just look it up.

798
00:42:53,040 --> 00:42:56,440
Speaker 2: Yeah it's full. Now it's just going to look it

799
00:42:56,480 --> 00:42:58,360
Speaker 2: up while we chat about The Nielsen Company in the

800
00:42:58,480 --> 00:43:02,520
Speaker 2: US says the average adult in the United States spends

801
00:43:02,560 --> 00:43:09,160
Speaker 2: around eleven hours daily engaging with digital media. Eleven hours.

802
00:43:09,280 --> 00:43:11,560
Speaker 2: Tiff is now laughing. You might have to tell us

803
00:43:11,600 --> 00:43:13,680
Speaker 2: to remind us. For those listeners who've never heard of

804
00:43:13,760 --> 00:43:14,680
Speaker 2: Lorraina Bobbitt.

805
00:43:15,320 --> 00:43:19,759
Speaker 3: Rain and Bobbitt severed her husband John's penis on during

806
00:43:19,840 --> 00:43:24,040
Speaker 3: the twenty third nineteen ninety three, A day.

807
00:43:23,840 --> 00:43:24,880
Speaker 2: That will looking in for me.

808
00:43:25,640 --> 00:43:28,680
Speaker 1: Speaking of speaking of things we can do with knives,

809
00:43:28,880 --> 00:43:29,640
Speaker 1: You're welcome.

810
00:43:30,440 --> 00:43:33,120
Speaker 2: Yeah, that popp into my head. I reckon. I must

811
00:43:33,160 --> 00:43:36,120
Speaker 2: have been traumatized by that as a bloke, do you reckon?

812
00:43:37,800 --> 00:43:41,080
Speaker 1: I just don't even like hearing that forty years later

813
00:43:41,320 --> 00:43:46,400
Speaker 1: or whatever it is. That just yeah, I was going

814
00:43:46,440 --> 00:43:49,680
Speaker 1: to say something fucking hilarious then I wish I could.

815
00:43:50,200 --> 00:43:52,319
Speaker 1: I know, we should just have a podcast where you

816
00:43:52,320 --> 00:43:55,840
Speaker 1: can just say whatever you want. Yeah, I mean, I

817
00:43:55,880 --> 00:43:57,560
Speaker 1: know this is as close as it gets.

818
00:43:57,600 --> 00:43:59,839
Speaker 2: Probably I don't think anything's held as back.

819
00:44:01,719 --> 00:44:06,799
Speaker 1: There's lots to okay, you know anyway, anyway, I need

820
00:44:06,840 --> 00:44:08,960
Speaker 1: to try and keep my career in tax somehow.

821
00:44:09,800 --> 00:44:13,239
Speaker 2: Or one more little tiny bit about digital detox so

822
00:44:14,000 --> 00:44:17,000
Speaker 2: stepping back from the internet or connected devices like your phone,

823
00:44:17,080 --> 00:44:19,680
Speaker 2: laptop or whatever. For it's just a set time, but

824
00:44:19,760 --> 00:44:21,680
Speaker 2: more than just having a little bit of a break.

825
00:44:21,960 --> 00:44:25,400
Speaker 2: But what it's been found is a digital detox could

826
00:44:26,160 --> 00:44:29,840
Speaker 2: improve your sleep, your mood, and your work life balance.

827
00:44:29,880 --> 00:44:33,960
Speaker 2: So having structured detox times of not just putting the

828
00:44:33,960 --> 00:44:35,680
Speaker 2: phone down, but saying Okay, I'm going to put it

829
00:44:35,719 --> 00:44:38,759
Speaker 2: away for a time can actually really help as well.

830
00:44:38,800 --> 00:44:41,000
Speaker 2: So again it comes back to what you were saying earlier.

831
00:44:41,040 --> 00:44:43,239
Speaker 2: It's not about the technology, it's how we use it.

832
00:44:43,880 --> 00:44:46,160
Speaker 1: I know this is dumb question. I'm sure the answer

833
00:44:46,160 --> 00:44:50,560
Speaker 1: is yes. But with an iPhone or any smartphone for

834
00:44:50,600 --> 00:44:53,640
Speaker 1: that matter, is it you can set it up so

835
00:44:53,719 --> 00:44:57,200
Speaker 1: you're temporarily your phone will only allow three or four

836
00:44:57,239 --> 00:44:59,640
Speaker 1: phone numbers or one phone number to call you and.

837
00:44:59,520 --> 00:45:02,200
Speaker 2: Block the Yeah, I do that at night. So my

838
00:45:02,360 --> 00:45:05,719
Speaker 2: phone from nine to thirty till five thirty it has

839
00:45:05,760 --> 00:45:09,359
Speaker 2: a do not disturb mode. But I can have a

840
00:45:09,440 --> 00:45:13,000
Speaker 2: certain number of phone numbers that are bookmarked as important

841
00:45:13,120 --> 00:45:16,200
Speaker 2: numbers that can get through someone called so my dad,

842
00:45:16,320 --> 00:45:18,720
Speaker 2: my brother, that sort of thing. Say, yeah, absolutely right.

843
00:45:18,800 --> 00:45:20,520
Speaker 2: And one of the other cool features that I don't

844
00:45:20,520 --> 00:45:22,799
Speaker 2: know about your phones. I'm using a pixel, but if

845
00:45:22,840 --> 00:45:25,120
Speaker 2: I'm in a meeting or on with somebody and I'm

846
00:45:25,120 --> 00:45:27,719
Speaker 2: at a cafe, if I turn my phone face down,

847
00:45:28,120 --> 00:45:31,800
Speaker 2: it will also automatically go into do not disturb mode.

848
00:45:32,000 --> 00:45:33,719
Speaker 2: And I think that for me. I don't know about

849
00:45:33,760 --> 00:45:37,000
Speaker 2: you guys, but I like the idea of when you're

850
00:45:37,000 --> 00:45:38,960
Speaker 2: sitting down with someone because we all feel like we

851
00:45:39,000 --> 00:45:40,799
Speaker 2: have to have our phones and I can't have mine

852
00:45:40,840 --> 00:45:43,000
Speaker 2: in my pocket. I find it really annoying if my

853
00:45:43,000 --> 00:45:45,120
Speaker 2: phone's in my pocket when I'm sitting down. But I

854
00:45:45,200 --> 00:45:49,000
Speaker 2: always put my phone face down, so A I'm not distracted,

855
00:45:49,080 --> 00:45:50,840
Speaker 2: but B it means that I'm in to do not

856
00:45:50,920 --> 00:45:53,239
Speaker 2: disturb mode. But I think from an etiquette point of view,

857
00:45:53,440 --> 00:45:55,920
Speaker 2: it's nice to turn your phone down and not be distracted.

858
00:45:55,960 --> 00:45:58,840
Speaker 2: There's nothing worse if you're having a conversation with someone

859
00:45:59,040 --> 00:46:02,319
Speaker 2: and they glance at this phone. It happens occasionally. Have

860
00:46:02,400 --> 00:46:05,720
Speaker 2: you been in that scenario where tiffk or Craig where

861
00:46:06,040 --> 00:46:08,279
Speaker 2: somebody has been chatting to you and all of a

862
00:46:08,280 --> 00:46:10,440
Speaker 2: sudden it gets distracted by their phone.

863
00:46:11,200 --> 00:46:14,560
Speaker 1: One hundred percent. Hey, we've got five minutes. I want

864
00:46:14,600 --> 00:46:16,600
Speaker 1: to cover off a couple of car things that I'm

865
00:46:16,640 --> 00:46:17,279
Speaker 1: interested in.

866
00:46:17,320 --> 00:46:18,560
Speaker 2: What you would be going.

867
00:46:19,640 --> 00:46:25,120
Speaker 1: Okay, so first one BYD have created a new charging

868
00:46:26,120 --> 00:46:30,000
Speaker 1: system whatever where you can fill up fill up is

869
00:46:30,040 --> 00:46:31,960
Speaker 1: not the right word, but that'll do fill up your

870
00:46:31,960 --> 00:46:35,399
Speaker 1: car with electricity in five minutes. So to do four

871
00:46:35,480 --> 00:46:38,560
Speaker 1: hundred ks off of five minute charge, I think I

872
00:46:38,560 --> 00:46:40,080
Speaker 1: don't have that written in front of me, but I

873
00:46:40,120 --> 00:46:43,640
Speaker 1: saw your prompt or something like that. Yeah, one, that's

874
00:46:43,680 --> 00:46:44,800
Speaker 1: going to be a game changer.

875
00:46:45,160 --> 00:46:47,440
Speaker 2: It is. There's a few caveats on this. So it's

876
00:46:47,440 --> 00:46:51,080
Speaker 2: a thousand kilowatt system and the average charging station isn't

877
00:46:51,080 --> 00:46:53,400
Speaker 2: anywhere near that, so the infrastructure would have to be

878
00:46:53,440 --> 00:46:57,359
Speaker 2: in place. But we're talking about the same time it's

879
00:46:57,400 --> 00:46:59,800
Speaker 2: filling up with petrol and giving you that four hundred kilometer.

880
00:47:00,280 --> 00:47:02,279
Speaker 2: That's a deal breaker. If you could do that with

881
00:47:02,320 --> 00:47:04,279
Speaker 2: an electric vehicle, I think that would switch a lot

882
00:47:04,320 --> 00:47:07,479
Speaker 2: of people over because suddenly, you know, doing a drive

883
00:47:07,520 --> 00:47:10,880
Speaker 2: to Adelaide or Brisbane or wherever is not going to

884
00:47:10,920 --> 00:47:15,000
Speaker 2: be something that's logistically a massive, you know, way to

885
00:47:15,080 --> 00:47:16,719
Speaker 2: have to plan a trip if you've got to keep

886
00:47:16,719 --> 00:47:19,640
Speaker 2: stopping and you know you can't get that range when

887
00:47:19,680 --> 00:47:22,799
Speaker 2: you need it, so that's pretty cool. BYD is an

888
00:47:22,840 --> 00:47:25,759
Speaker 2: interesting company. It's a Chinese company and they're pushing. They're

889
00:47:25,760 --> 00:47:28,600
Speaker 2: selling more cars than Tesla, and I guess recently, with

890
00:47:28,640 --> 00:47:31,000
Speaker 2: everything that's going on in the States, everybody's selling more

891
00:47:31,000 --> 00:47:33,319
Speaker 2: cars than Tesla. I think it sells more cars than

892
00:47:33,400 --> 00:47:37,880
Speaker 2: Tesla at the moment, but the reality of it is

893
00:47:37,920 --> 00:47:41,680
Speaker 2: that there's been a massive shift towards the Chinese automakers

894
00:47:41,719 --> 00:47:44,439
Speaker 2: and BYD is definitely the world's leader when it comes

895
00:47:44,480 --> 00:47:47,160
Speaker 2: to electric cars at the moment. And you know, there's

896
00:47:47,160 --> 00:47:50,440
Speaker 2: another little gadget. I love this BYD Now one of

897
00:47:50,480 --> 00:47:53,759
Speaker 2: they're talking about having a car that's been launched that

898
00:47:53,880 --> 00:47:57,680
Speaker 2: they'd to team up with Dji, the world's biggest drone manufacturer,

899
00:47:58,040 --> 00:48:00,319
Speaker 2: and they have a section of the roof with the

900
00:48:00,440 --> 00:48:04,000
Speaker 2: roof slides away and the drone launches, so when you're

901
00:48:04,080 --> 00:48:07,880
Speaker 2: driving off road, you get an aerial view of what

902
00:48:07,920 --> 00:48:10,279
Speaker 2: you're doing. So it's for filming, it's for people who

903
00:48:10,400 --> 00:48:13,120
Speaker 2: like off roading, and you've literally got a drone that's

904
00:48:13,160 --> 00:48:16,080
Speaker 2: flying above you, so that if you're driving through a

905
00:48:16,120 --> 00:48:18,840
Speaker 2: forest or driving through an area, we are not too sure.

906
00:48:19,080 --> 00:48:22,799
Speaker 2: You've got this aerial view. By the drone, And so

907
00:48:22,880 --> 00:48:26,480
Speaker 2: the drone comes with the car as a feature that's

908
00:48:26,480 --> 00:48:29,719
Speaker 2: integrated into the BYD vehicle. That's kind of interesting and

909
00:48:29,760 --> 00:48:30,719
Speaker 2: nerdy at the same time.

910
00:48:31,320 --> 00:48:34,000
Speaker 1: I need that as I'm heading into the CBD ye

911
00:48:34,120 --> 00:48:36,840
Speaker 1: looking for a cart just to fly up out the

912
00:48:36,840 --> 00:48:38,520
Speaker 1: top of the bloody Suzuki Swift.

913
00:48:40,000 --> 00:48:43,160
Speaker 2: Last one, I Lovezki Swift. You can use it to

914
00:48:43,200 --> 00:48:44,920
Speaker 2: carry the Suzuki Swift.

915
00:48:45,239 --> 00:48:47,880
Speaker 1: That is true. That is true. I'll tell you what.

916
00:48:48,080 --> 00:48:50,359
Speaker 1: If you ever want to look super cool, everyone, get

917
00:48:50,360 --> 00:48:54,080
Speaker 1: yourself Suzuki Swift. I tell you what, the ultimate kind

918
00:48:54,080 --> 00:48:56,919
Speaker 1: of credibility builder you want to build your brand, get

919
00:48:56,920 --> 00:49:00,439
Speaker 1: one of them. Hey, last one I love to that

920
00:49:01,160 --> 00:49:02,839
Speaker 1: volks was a Volkswagen.

921
00:49:02,880 --> 00:49:03,320
Speaker 2: I can't.

922
00:49:03,400 --> 00:49:09,520
Speaker 1: Yes, they're heading back to vinyl, and by that I

923
00:49:09,520 --> 00:49:14,160
Speaker 1: mean they're doing they're going retro. They're introducing buttons into

924
00:49:14,200 --> 00:49:14,600
Speaker 1: the car.

925
00:49:15,200 --> 00:49:15,439
Speaker 4: Yeah.

926
00:49:15,880 --> 00:49:19,200
Speaker 2: There's a lot of talk and chatter in the auto

927
00:49:19,200 --> 00:49:24,759
Speaker 2: world about how big screens on dashes with no physical

928
00:49:24,800 --> 00:49:27,480
Speaker 2: buttons is actually not as good as we thought it

929
00:49:27,560 --> 00:49:30,239
Speaker 2: was going to be, and that to reach for the

930
00:49:30,280 --> 00:49:32,640
Speaker 2: controls and swap the screen over to be able to

931
00:49:32,680 --> 00:49:36,239
Speaker 2: adjust the temperature or the volume is just not user

932
00:49:36,320 --> 00:49:39,919
Speaker 2: friendly at all and that for us as people who

933
00:49:40,239 --> 00:49:42,040
Speaker 2: I mean, I know, when I get into the car,

934
00:49:42,400 --> 00:49:44,279
Speaker 2: I don't have to look down to know where the

935
00:49:44,360 --> 00:49:48,319
Speaker 2: volume control is. You know, who can imagine turning your

936
00:49:48,360 --> 00:49:51,360
Speaker 2: indicators on without the stalk on the side a little

937
00:49:51,400 --> 00:49:54,600
Speaker 2: bit of that. And so Volkswagen is now committing itself

938
00:49:54,640 --> 00:50:00,399
Speaker 2: to bringing back this sense of more haptic connectedness, whether

939
00:50:00,440 --> 00:50:04,120
Speaker 2: it's putting knobs back on and sliders or making the

940
00:50:04,280 --> 00:50:07,400
Speaker 2: interactions you have. What I mean by haptick is it

941
00:50:07,480 --> 00:50:09,759
Speaker 2: might be a virtual button, but when you move it, it

942
00:50:09,800 --> 00:50:12,839
Speaker 2: feels like it's vibrating, so you get a sense of

943
00:50:12,920 --> 00:50:16,560
Speaker 2: real connectedness with whatever you're currently doing on the vehicle.

944
00:50:16,600 --> 00:50:19,040
Speaker 2: And yeah, I think that's a great move forward when

945
00:50:19,080 --> 00:50:20,360
Speaker 2: we go backwards.

946
00:50:20,600 --> 00:50:23,440
Speaker 1: And you know what is interesting is if you're driving

947
00:50:23,640 --> 00:50:26,719
Speaker 1: from your joint to my joint and you pick up

948
00:50:26,760 --> 00:50:29,399
Speaker 1: your phone while you're driving and you start to play

949
00:50:29,560 --> 00:50:33,359
Speaker 1: or move something or open something, then you're breaking the law.

950
00:50:34,080 --> 00:50:36,480
Speaker 1: But if you've got one of those big screens like

951
00:50:36,520 --> 00:50:39,960
Speaker 1: I have in my other car, you reach across and

952
00:50:40,000 --> 00:50:44,520
Speaker 1: you're essentially on a giant phone and your attention is like,

953
00:50:45,520 --> 00:50:47,560
Speaker 1: it's not that natural where you can reach over and

954
00:50:47,560 --> 00:50:50,040
Speaker 1: twist that nob or push that button, because there is

955
00:50:50,080 --> 00:50:53,320
Speaker 1: no nob or button to twist or push. So now

956
00:50:53,840 --> 00:50:57,800
Speaker 1: it actually takes concentration and cognitive energy to pay attention

957
00:50:58,000 --> 00:51:00,920
Speaker 1: to the thing you're trying to adjust while you drive,

958
00:51:01,360 --> 00:51:04,120
Speaker 1: which to me is a much bigger distraction and bigger

959
00:51:04,239 --> 00:51:09,040
Speaker 1: danger than touching your phone, which you're very familiar with.

960
00:51:09,800 --> 00:51:13,080
Speaker 2: On my car, I've got a master and even though

961
00:51:13,080 --> 00:51:14,640
Speaker 2: I've got a screen in front of me, it's not

962
00:51:14,680 --> 00:51:17,080
Speaker 2: a touch screen for navigation and all those sorts of things.

963
00:51:17,080 --> 00:51:19,279
Speaker 2: But it's a big it's a big knob. It's a

964
00:51:19,400 --> 00:51:22,439
Speaker 2: rotating dial, and I know that if I reach over

965
00:51:22,560 --> 00:51:25,879
Speaker 2: to the gearstick and then I bring my hand further back,

966
00:51:26,040 --> 00:51:29,239
Speaker 2: that's where the dial is. It's very tactile. But I

967
00:51:29,320 --> 00:51:31,520
Speaker 2: never look down at it. I don't have to. I

968
00:51:31,560 --> 00:51:33,640
Speaker 2: know exactly where it is, and I know the volume

969
00:51:33,719 --> 00:51:35,960
Speaker 2: control to the radio is to the left of that,

970
00:51:36,360 --> 00:51:39,160
Speaker 2: so intuitively, I never need to look down, and I'm

971
00:51:39,239 --> 00:51:40,960
Speaker 2: driving along and I can feel for all of that,

972
00:51:41,000 --> 00:51:43,120
Speaker 2: So I just think it's great. Yundai is doing the

973
00:51:43,160 --> 00:51:47,960
Speaker 2: same thing. They've done focus groups, so they've got people

974
00:51:47,960 --> 00:51:51,439
Speaker 2: together and they've said people get stressed and annoyed when

975
00:51:51,480 --> 00:51:55,560
Speaker 2: they couldn't control something in a tactile way. So that

976
00:51:55,800 --> 00:51:58,719
Speaker 2: move away from all of that and just having big

977
00:51:58,760 --> 00:52:02,400
Speaker 2: screens strading drivers and now the likes of Hyunda and

978
00:52:02,520 --> 00:52:05,640
Speaker 2: Kiir and now taking a much more different approach to

979
00:52:05,680 --> 00:52:08,279
Speaker 2: the way they look at that, and as is Volkswagen as.

980
00:52:08,200 --> 00:52:12,160
Speaker 1: Well, perfect the HR station Wagon. That's what we need

981
00:52:12,200 --> 00:52:14,719
Speaker 1: to go back to. Patrick. You probably don't remember that,

982
00:52:14,760 --> 00:52:18,200
Speaker 1: But where can people find you? Follow you, connect with you? Patrick?

983
00:52:18,480 --> 00:52:21,960
Speaker 2: I just go to websitesnow dot com dot au if

984
00:52:21,960 --> 00:52:24,799
Speaker 2: you want to talk media and marketing and websites and

985
00:52:25,080 --> 00:52:27,520
Speaker 2: branding and stuff, or just go to Tychi at home

986
00:52:27,960 --> 00:52:29,440
Speaker 2: dot com, todau if you just want to do some

987
00:52:29,520 --> 00:52:30,960
Speaker 2: tai Chie with me, because that's funny.

988
00:52:31,719 --> 00:52:34,120
Speaker 1: I hope you two kids have a beautiful day tomorrow.

989
00:52:34,280 --> 00:52:36,680
Speaker 1: I hope the dogs play well together. I hope you

990
00:52:36,719 --> 00:52:39,920
Speaker 1: two play well together. I hope you don't get rained

991
00:52:39,960 --> 00:52:42,920
Speaker 1: on and we expect a full report next time.

992
00:52:43,280 --> 00:52:43,839
Speaker 2: Sounds good.

993
00:52:44,840 --> 00:52:48,600
Speaker 1: Thanks TeV, thank you, Thanks Patty, thank you,