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Speaker 1: You're listening to a podcast from News Talks'd be follow

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Speaker 1: this and our wide range of podcasts now on iHeartRadio.

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Speaker 2: Hello you great New Zealanders. This is Matt and Tyler

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Speaker 2: Full show and podcast number two seven.

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Speaker 3: Ninely nearing and on three done.

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Speaker 2: One of one of the greatest shows we've ever had.

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Speaker 2: It's the well we were replaced by robots and what

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Speaker 2: will Happen chat really blew up some fantastic calls and

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Speaker 2: some deep thinkers out there, texting through on nine two

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Speaker 2: nine two and ringing through on e one hundred and

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Speaker 2: eighty ten eighties and could able to have these chats

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Speaker 2: live where people can just ring in and say their

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Speaker 2: point of view. And you know, there's some crazies, but

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Speaker 2: there's some geniuses.

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Speaker 3: Some very intelligent people.

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Speaker 2: It's high risk, high reward.

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Speaker 4: Yeah, absolutely loved it, So download, subscribe and give us

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Speaker 4: a review.

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Speaker 2: And you see bazi lei you go SI give me

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Speaker 2: toast key all right then love you the big.

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Speaker 1: Stories, the big issues, the big trends and everything in between.

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Speaker 1: It's Matt Heath and Tyler Adams Afternoons. It'da News Talk

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Speaker 1: said be.

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Speaker 4: A very very good afternoons. You welcome into Monday show.

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Speaker 4: So good, so good to have you with us today.

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Speaker 4: And got to say it is great to have Scoda

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Speaker 4: on board with Matt and Tyler afternoon.

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Speaker 2: That's right, they've got a promo happening called scoter Codes,

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Speaker 2: Beyond fantastic, incredible. Yeah, I mean I watched the Tour

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Speaker 2: de France and just go how beautiful it is. I mean,

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Speaker 2: The shots are just incredible. So go to Scoda dot

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Speaker 2: It's amazing.

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Speaker 3: Yep, stoked to hand Scoder on boards. How are you mates?

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Speaker 3: You had a nice weekend.

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Speaker 2: I did have a fantastic weekend. Actually that thanks for asking, mates, Yep,

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Speaker 2: thank you for asking. I can't remember anything of it.

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Speaker 4: I'm just saying that is thank you for holding the mantle,

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Speaker 4: for holding the ford on Friday. I really appreciate it, mate,

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Speaker 4: I tuned in a couple of times. Sounded superb.

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Speaker 2: Yeah, you abandoned me to go and mc a wedding.

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Speaker 2: How did it?

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Speaker 4: We didn't go as I teached you. I think it

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Speaker 4: was a strong start. It was a little bit shaky

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Speaker 4: in the middle, and then I finished strong again. But

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Speaker 4: you know when I asked you for some advice and

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Speaker 4: you're good at it, mate. I showed you some of

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Speaker 4: my material and you laughed not in the right way

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Speaker 4: at some of that material and said, just you got

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Speaker 4: at your red pin and just started crossing some things out.

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Speaker 4: So that helped a lot. But also you did say,

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Speaker 4: don't even worry about the words, just worry about crowd

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Speaker 4: control and keeping things on time.

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Speaker 2: This is the thing people think when they're m seeing

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Speaker 2: a wedding, that they're being the best man at the wedding.

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Speaker 2: They're not. You're m seeing the wedding. It's about it's

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Speaker 2: an admin role. It's a crowd control role, it's a

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Speaker 2: facilitation role. You have to know what time things are happening,

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Speaker 2: where people have to be, and you have to be

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Speaker 2: aware that everyone's talking to each other and they don't

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Speaker 2: want to listen to you, and they don't want to

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Speaker 2: be where they have to be.

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Speaker 3: Yep.

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Speaker 2: So it's a very different thing. It's not your type five,

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Speaker 2: your type ten comedy routine.

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Speaker 3: No, certainly was it.

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Speaker 2: No, it's admin.

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Speaker 4: And that's where I fell down a little bit. They're

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Speaker 4: trying to get everybody together for the photos, and so

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Speaker 4: initially I gave the big boomy voice, all right.

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Speaker 3: Can everybody We're going to get everybody.

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Speaker 4: In for the initial photo. So that went down. Okay,

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Speaker 4: people looked at me and say, what the hell are

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Speaker 4: you yelling at me? It's a wedding for goodness sake.

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Speaker 4: But then at that point you've got to separate them

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Speaker 4: into different groups and that's oh mate, that's when I

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Speaker 4: started to let the team down.

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Speaker 2: Yeah, that is a huge amount of ADMIN. The most

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Speaker 2: important tool for a wedding MC is the cattle prod.

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Speaker 3: That would have been handy, It would have been very handy.

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Speaker 2: Yeah, get out of here, grandma, come on, you got

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Speaker 2: to be in.

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Speaker 4: But I got to say thank you very much your

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Speaker 4: support on that, mate. Overall, I think a solid six

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Speaker 4: out of ten.

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Speaker 2: Well, look, it's great to have you back.

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Speaker 3: Yeah, it's great to be.

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Speaker 2: Excited to have the dream team back together for the

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Speaker 2: next three hours of talk back on our one hundred

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Speaker 2: and eighteen eighty.

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Speaker 4: Two right after three o'clock. Question we've got for you

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Speaker 4: is it's still worth it to have a big night

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Speaker 4: drinking when the potential for your less than stellar behavior

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Speaker 4: can be caught on camera. The reason to say this

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Speaker 4: is there's two videos over the weekend that have gone

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Speaker 4: viral that you played for me this morning, mate. The

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Speaker 4: first was two men who were thrown out of a

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Speaker 4: strip club in Melbourne after allegedly being offensive, and security

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Speaker 4: footage has picked them up. You may have seen this.

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Speaker 4: It is fantastic. Footage showed them scuffling with bouncers outside.

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Speaker 4: One of the men went to a nearby restaurant grabbed

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Speaker 4: a chair. The restaurant's staff obviously tried to stop him.

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Speaker 4: Hifed it, obviously with the intention of trying to hit

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Speaker 4: the security, but in the end he just clocked his

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Speaker 4: own mate and completely knocked him out.

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Speaker 2: I've never laughed so hard in my life. It's the

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Speaker 2: funniest thing I've ever seen. Here's what it sounds like.

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Speaker 6: A chair thrown outside a strip club hits a man

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Speaker 6: in the head and he goes down hard. It happened

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Speaker 6: here around nine to twenty last night on King Street

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Speaker 6: in the city, outside Bar twenty. The man and the

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Speaker 6: mate had been inside, but we're thrown out. One of

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Speaker 6: them grabbed a chair from a restaurant next door, despite

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Speaker 6: staff and customers there trying to stop him, and it's

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Speaker 6: suspected he was trying to throw it at security at

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Speaker 6: the front door, but instead it hit his mate in

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Speaker 6: the head.

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Speaker 3: He recovered reasonably quickly got up and walked away.

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Speaker 6: It's understood no one ranked police or an ambulance will

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Speaker 6: have full details seven News tonight.

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Speaker 2: The funniest part of the video is, so this guy's,

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Speaker 2: you know, he's having a mirror. He's been asked to

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Speaker 2: leave the bar. He's gone next door. He's grabbed a

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Speaker 2: chair and you've got staff at the next door restaurant

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Speaker 2: trying to stop and grab this chair, and he's tried

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Speaker 2: to throw the chair at security, but he's had his

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Speaker 2: mate so hard from behind. Mate goes down. The funniest

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Speaker 2: part of the video is the is the security laughing

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Speaker 2: and pointing at him as it's the ground and putting guys.

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Speaker 2: It's very funny. It's it's put a lot of joy

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Speaker 2: to the world this video. That and the boxer with

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Speaker 2: the two pay that got his two pay knocked off.

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Speaker 3: Oh brilliant.

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Speaker 2: It's been a great weekend for videos. But I was

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Speaker 2: looking at that and I was thinking, so these guys

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Speaker 2: have decided to go out on the town, right, They've

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Speaker 2: got absolutely freaking steamed. Yep, They've got into an altegration

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Speaker 2: with security, being thrown out of a bar because they've

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Speaker 2: got two schemes steamed. Then that altercation has got to

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Speaker 2: the point where one of them is having good year

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Speaker 2: a bounces and then taking out his mate. Imagine the

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Speaker 2: kind of hangover they had the next day. So they

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Speaker 2: wake up to the hangout this hangover going, oh what

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Speaker 2: did I get up to last night? I've got to

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Speaker 2: have on through that year. Then you know, everyone's addicted

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Speaker 2: to their phone, so they turn the phone on and

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Speaker 2: see that they are currently the most famous people in

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Speaker 2: the world. Right now, absolutely everyone is talking about these

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Speaker 2: steamed dudes in Melbourne nine to twenty at night. So

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Speaker 2: they probably probably drank a bunch more. But I mean

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Speaker 2: a lot of us will be familiar with that feeling

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Speaker 2: of waking up after a big night with a horrific hangover,

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Speaker 2: having demons as they're called, few memories of your behavior

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Speaker 2: the last night, and not being proud of yourself.

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Speaker 3: Anxiety.

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Speaker 2: Now, the chances of that embarrassing thing that you have

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Speaker 2: done being filmed and sewan just around your friend group

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Speaker 2: yep is one thing. So people you know aren't going

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Speaker 2: to forget about it quickly.

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Speaker 3: That's bad enough.

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Speaker 2: But if you're a big enough to yead like these guys,

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Speaker 2: you can go absolutely global. And stats show that people

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Speaker 2: are drinking less and less. I mean, there's an article

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Speaker 2: in The Economist at the moment saying how humankind's ten

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Speaker 2: million year love affair with booze might be ending. And

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Speaker 2: just one of the things that people don't like about

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Speaker 2: drinking is that is that they now young people, they

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Speaker 2: know that whatever they do will be filmed yep.

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Speaker 7: Yep.

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Speaker 2: So is that a factor in you drinking less? Are

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Speaker 2: you falling out of love with alcohol?

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Speaker 8: Now?

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Speaker 2: The stats are out, you know, people are saying that

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Speaker 2: no alcohol as the amount of alcohol to drink. You know,

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Speaker 2: there was a lot of talk that you know, sum's

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Speaker 2: good and all this kind of stuff.

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Speaker 3: Yeah, but healthwise.

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Speaker 2: We're seeing more and more that it ain't good for you.

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Speaker 4: Yeah, the trends changing, but that's going to be a

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Speaker 4: great chat after three o'clock with all the cameras out

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Speaker 4: there at the moment, as that made you reassess having

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Speaker 4: a massive night on the booze after two o'clock. Steve Bartlett,

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Speaker 4: he hosts the Diary of the CEO podcast, Very very successful,

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Speaker 4: having a discussion with a man called Constantine Kissing. He

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Speaker 4: is an expert in AI, but they were talking about

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Speaker 4: the rapid advances in AI and robotics, particularly out of

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Speaker 4: Tesla with our designing this humanoid optimus robot and as

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Speaker 4: he mentioned, they have now cracked the cost barrier for

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Speaker 4: producing this sort of technology and they are pumping out

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Speaker 4: all sorts of very advanced robotics.

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Speaker 2: The big difference that has happened recently, as with robotics

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Speaker 2: they've often had the moving parts sorted. The physical part

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Speaker 2: of the robot for the longest time is just getting

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Speaker 2: cheaper and cheaper to make right the brain with the

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Speaker 2: expensive part. The brain was costing fifty thousand dollars. Therefore,

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Speaker 2: these various types of robots, not just humanoid but robots

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Speaker 2: in a box, et cetera. Were kind of unrealistically expensive.

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Speaker 2: They are now saying that the cost of those brains

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Speaker 2: has gone from fifty thousand dollars to two cents. So

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Speaker 2: robots are going to start being pumped out at an

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Speaker 2: insane level. You remember when flat steat screen TVs came

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Speaker 2: along and suddenly they were pumped out everywhere. That became

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Speaker 2: cheaper and cheaper, and now you're when you replace your TV,

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Speaker 2: you can't give.

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Speaker 3: The other one, the last one away and nobody wants it.

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Speaker 2: Yeah, they're absolutely everywhere. So they're pumping these robots out.

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Speaker 2: And you know, these guys are talking about the concept

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Speaker 2: of all human work pretty much being replaced by robots

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Speaker 2: in the not too distant few.

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Speaker 3: Yeah.

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Speaker 2: So the question we want to talk about as if

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Speaker 2: all the productive work, in all the efficiency in society,

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Speaker 2: and all the stuff that needs to be done for

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Speaker 2: an economy work is done by these incredibly cheap robots,

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Speaker 2: then what are you going to do?

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Speaker 3: Yeah, it's a big question, massive question.

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Speaker 4: Looking forward to that after two o'clock, because right now,

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Speaker 4: let's have a chat about drivers fatigue and when is

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Speaker 4: the most dangerous time to drive. According to a new report,

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Speaker 4: This is the Auto Sense Guardian New Zealand insights report.

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Speaker 4: It found accidents related to driver fatigue we're most likely

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Speaker 4: to happen between seven am and eight am. They've got

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Speaker 4: a fatigue consultant on board, Katrina Aubrey's her name, and

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Speaker 4: she said that window sits within a well known low

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Speaker 4: point in alertness that increases the risk of microsleep incidents.

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Speaker 4: And she said go went on to say, rather when

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Speaker 4: that vulnerability overlaps with the school run, higher traffic time

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Speaker 4: pressure children and buses, even brief, brief lapses and intention

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Speaker 4: can carry a carry serious risk.

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Speaker 2: Yeah. I think we sometimes we talk a lot about

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Speaker 2: drunk driving and speeding as being problems when it comes

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Speaker 2: to accidents on the road. But you know, fatigue is

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Speaker 2: if you're asleep, you're a terrible driver. Oh it's no

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Speaker 2: two ways.

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Speaker 3: Yeah, yeah, yeah, it's pretty hard to do it when

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Speaker 3: you're asleep.

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Speaker 2: Yeah.

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Speaker 3: In fact and possible.

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Speaker 2: Yeah absolutely. In twenty twenty three, there were twenty five

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Speaker 2: fatal crashes, fifty nine serious injuries and five hundred and

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Speaker 2: fifty four minor injury crashes. We're driver fatigue contributed, So

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Speaker 2: it's a it's a big, big deal. Driver fatigue. So

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Speaker 2: what do you do to combat it? What experiences you

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Speaker 2: had around driver fatigue? I can share a really shocking

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Speaker 2: story about something terrible that I did. Maybe, Okay, rereson

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Speaker 2: me shamed about it? Yeah, but yeah, drivers fatigue. Do

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Speaker 2: we worry about it enough? And what do you do

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Speaker 2: to combat it?

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Speaker 9: Yeah?

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Speaker 3: I love to hear from you.

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Speaker 4: Oh, eight hundred eighty ten eighty if you've ever had

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Speaker 4: a near miss when driving fatigued, really keen to hear

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Speaker 4: from you as well. Nine two ninety two is the

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Speaker 4: techs bag for you? Shortly, it's seventeen PUS one.

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Speaker 1: It's a big store, the big issues, the big trends,

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Speaker 1: and everything in between.

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Speaker 10: Matt Heath and Tayler Adams Afternoons used talks.

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Speaker 3: It be news talks.

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Speaker 4: Very good afternoon to you. We are talking about driver fatigue.

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Speaker 4: And you report out studied a whole bunch of accidents

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Speaker 4: and found the most dangerous time to drive is between

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Speaker 4: seven and eight am in the morning. Why because it's

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Speaker 4: more likely than not that people are still fatigued at

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Speaker 4: that to our point in time.

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Speaker 2: And I you know, I haven't drilled down in statistics,

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Speaker 2: but I think there's this this this text here is

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Speaker 2: what's setting off alarm bells in my mind. You know,

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Speaker 2: correlation is not causation. Boys, more cars on the road

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Speaker 2: between seven and eight am than any other time, Otherwise

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Speaker 2: three am would be the tiredness peak obviously, hmm, so

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Speaker 2: maybe that might be the case. Yes, that might be

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Speaker 2: the case. Sometimes statistics, you know, they leave out the

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Speaker 2: glaring window, you know, the glaring reasoning. But I don't

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Speaker 2: think anyone would argue whether that is true or not.

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Speaker 2: I don't think people would argue that being asleep or

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Speaker 2: nodding off when you're driving is a positive. Yeah, yeah,

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Speaker 2: we can all agree on that part, whatever time of

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Speaker 2: the day it is.

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Speaker 4: Yeah, oh, eight one hundred eighty ten eighty is the

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Speaker 4: number to call if you have had an ear miss

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Speaker 4: due to fatigue. Love to hear from you, and what

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Speaker 4: do you do to stay alert if you are driving

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Speaker 4: at that time or indeed overnight, as a lot of

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Speaker 4: people do.

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Speaker 2: I've got a new way that I'll share that I'm

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Speaker 2: using to make sure I'm awake. And it's not like,

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Speaker 2: you know, if you're feeling sleep, you've got to pull over,

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Speaker 2: So you know, if you're going to do the things

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Speaker 2: to make you more alert. You've got to do them before,

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Speaker 2: you know.

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Speaker 4: Yeah, that's at the extreme end that if you're already

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Speaker 4: dropping off, Yeah yeah, yeah, if you're already.

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Speaker 2: Nodding off, you need to pull over until you've sorted

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Speaker 2: out the sleepiness. Yes, oft involves having a sleep to

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Speaker 2: sort it out.

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Speaker 3: Smashing the nodos isn't going to save you at that point. Yeah, yeah.

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Speaker 3: I eight one hundred and eighty ten eighty is number

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Speaker 3: to call Martin. How are you?

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Speaker 11: Yes, I could, I have to do Manta and Tyler

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Speaker 11: looked at about the seven am. I mean, there are

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Speaker 11: three three main crash tmes for drowsy, drive and drive

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Speaker 11: for tigue. Seven am as a massive spike, and it's

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Speaker 11: due to sleep and inertia. People take between seven minutes

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Speaker 11: and two hours to wake up, and they hop out

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Speaker 11: they don't have a coffee straight out the door, and

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Speaker 11: then they have a crash on their way to work,

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Speaker 11: typically offender bender. It tends to be no tail in

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Speaker 11: the cities.

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Speaker 12: Yeah.

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Speaker 11: And then but they found in the study overseas that

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Speaker 11: they wondered that about you know, the fire fry guys

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Speaker 11: who go down the pole. They wondered why they weren't

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Speaker 11: crashing and they found that it was actually counteracted by adrenaline. Right,

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Speaker 11: But seven am is a bad time mid day going.

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Speaker 2: Down the pole. So going down the pole is a

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Speaker 2: good way to wake you up yourself.

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Speaker 11: Up, Yeah, going down the pole, that's right. And then

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Speaker 11: mid afternoon is the sort of wonder force came in

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Speaker 11: downtime which coincides after lunch and when you've had you know,

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Speaker 11: in the hottest time of the day. And then topic

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Speaker 11: of the hours you're normally sleeping, which is sort of

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Speaker 11: twelve twelve midnight to six am, but they are three

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Speaker 11: main times.

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Speaker 2: It seems like a lot of the day there, mate.

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Speaker 11: Yeah, yeah, you asked before you mentioned about the sort

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Speaker 11: of things that can sort of contribute to high temperatures,

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Speaker 11: anything that stresses the body, like high temperatures, crash rates

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Speaker 11: up north and up to forty percent, and then down

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Speaker 11: south we're it's very cold, that stressed on the people

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Speaker 11: on bikes, emotional stress, going to funerals and or got busy,

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Speaker 11: sick relative. There's a lot of things that anything that

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Speaker 11: can stress you can contribute to that.

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Speaker 2: So what you're saying, Martin, is that time in the

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Speaker 2: morning seven am to eight a m. Being that that

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Speaker 2: high crash known that isn't just because there's more cars

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Speaker 2: out on the road, and so as a percentage that's

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Speaker 2: as serious. Yeah, it's anything.

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Speaker 11: Because you're fully your white people people realize that there's

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Speaker 11: something to hop out of bed. You're not fully a

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Speaker 11: lot of people and as I say, for seven minutes

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Speaker 11: or two hours to wake up. It's called sleep inertia.

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Speaker 2: Yeah, yeah, And yeah it's interesting because because you know,

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Speaker 2: like I listened to a lot of the stuff, I'm

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Speaker 2: obsessed with it. Arguably, I'm overly obsessed with listening to

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Speaker 2: howth floated, pod casts and things like that. But you know,

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Speaker 2: one thing that just keeps getting repeated over and over

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Speaker 2: again is when you get out of bed, have a

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Speaker 2: walk five ten minutes in natural light. And the argument

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Speaker 2: is then, you know, you know, we're evolved to wake

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Speaker 2: up when the sun hits the top of our eyes.

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Speaker 2: You know, we asleep when we sleep when it's dark

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Speaker 2: and we're full of melotolin, and then when the sun

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Speaker 2: comes out and we get it in our eyes. Historically

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Speaker 2: we've lived outside a lot that wakes us up. So

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Speaker 2: a lot of people would be getting out of bed

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Speaker 2: rushing around, they're still inside, they're in the dark, they

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Speaker 2: get in their car and they hit out. And so

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Speaker 2: they've never done that thing to wake themselves up, which

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Speaker 2: experienced that the light.

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Speaker 11: Yeah, absolutely they haven't. And it depends a lot people

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Speaker 11: very greatly. And also you know activity what they I mean,

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Speaker 11: these droughts are driving for tea crashes. I mean the

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Speaker 11: sort of sort of three things. Intuficient sleep, which is

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Speaker 11: you know, lost a while, two nights sleep, poor quali sleep,

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Speaker 11: and also or sleep undiagnosed sleep medical disorder. So it's

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Speaker 11: you know, any of those contribute. That's drowsy driving. That's

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Speaker 11: the main reasons for these drive tee Curtis's actually you

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Speaker 11: take it to the road at sleep deprivation.

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Speaker 2: Yeah, thank you for your call, Martin, really appreciate it.

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Speaker 13: Great.

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Speaker 3: Cool.

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Speaker 4: Oh eight one hundred and eighty ten eighty is the

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Speaker 4: number to call love to hear from you if you've

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Speaker 4: had a near miss while driving fatigued and what do

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Speaker 4: you do to stay alert if you need to? It

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Speaker 4: is twenty five past one.

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Speaker 1: The headlines and the hard questions, it's the make asking breakfast.

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Speaker 2: The time ministers with us, the Peters thing on immigration.

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Speaker 2: I assume this is Peter's playing games well.

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Speaker 14: I respect once, no, not doubt about it, but he's

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Speaker 14: just playing wrong on this Indian FTA.

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Speaker 10: I mean he was wrong on the China FTA, which

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Speaker 10: he opposed as well.

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Speaker 14: That's forty billion dollars that we've created for the economy.

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Speaker 2: But what's his problem with it? If he's wrong?

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Speaker 14: He's going after the immigration for the seventeen hundred people

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Speaker 14: a year come out on a three year visa, it

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Speaker 14: can't be extended. They have to go home and the

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Speaker 14: engine government wants them to go home as well. And

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Speaker 14: essentially what we've done is we're linked into the green list,

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Speaker 14: so the people that we need from the green list

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Speaker 14: any way, and so his concerns about this chain migration

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Speaker 14: and all these other things, we don't have a legal immigration.

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Speaker 3: It's not the UK, it's not the US.

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Speaker 2: Back tomorrow at six am the Mike Hosking Breakfast with

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Speaker 2: Maybe's Real Estate News Talk z B.

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Speaker 3: Very good afternoons.

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Speaker 4: You we're talking about the riskiest time to be behind

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Speaker 4: the wheel apparently, according to a new report, that's between

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Speaker 4: seven am and eight am. Judah driver fatigue. So I'd

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Speaker 4: love to hear from you on eight hundred and eighty

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Speaker 4: ten eighty.

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Speaker 2: This Texas says BS asking a truck to have a

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Speaker 2: sleepy time. It's between midnight and just before SunUp. Circadian

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Speaker 2: rhythms effect. Yeah, I mean I reckon, I reckon. I'd

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Speaker 2: be pretty sleepy at that time and I was driving.

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Speaker 4: Yeah, yeah, yeah, nine nine two is a text get

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Speaker 4: I met.

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Speaker 2: Good, very good, thanks for calling in on this Monday afternoon.

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Speaker 7: I believe this long time listeners, first time call it

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Speaker 7: by the thousandth time.

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Speaker 3: Texture welcome man, mate.

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Speaker 2: I always appreciate your text mate.

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Speaker 7: Say you know I've got a unique role. I'm a

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Speaker 7: male nurse. Shit and they clap, okay, we'll care on mate.

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Speaker 3: Well you're you're the beast of us.

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Speaker 7: Sometimes you have to do sort of late night shifts

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Speaker 7: and stuff like that. So and the track for that

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Speaker 7: is you don't actually get aid or nine hours sleep

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Speaker 7: before you start there, you know, right at midnight. Say

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Speaker 7: it's take quite a bit of sleep, dit Yeah and yeah,

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Speaker 7: his codes aren't really there with you. But I've got

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Speaker 7: a car an x V Samari XV. It's got a

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Speaker 7: camera that points just straight up my face as well

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Speaker 7: as everything house, and it search us for when I'm

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Speaker 7: my eyes are closed, so I'll get a beat. My

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Speaker 7: eyes are closed too long. We're there, that's sitting time frame.

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Speaker 7: And also if I look out the window a little

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Speaker 7: bit too long to the side, it all start to

439
00:20:00,653 --> 00:20:02,613
Speaker 7: beef and wake me up. I don't want to rely

440
00:20:02,733 --> 00:20:06,052
Speaker 7: on it, of course, but it's nice and it's there,

441
00:20:06,973 --> 00:20:08,813
Speaker 7: and to be honest, I wouldn't be about it.

442
00:20:09,093 --> 00:20:12,853
Speaker 2: Did you install this yourself, Matt Nice Patrick?

443
00:20:13,253 --> 00:20:14,973
Speaker 7: All right, it's part of the speaks that I look for.

444
00:20:15,373 --> 00:20:18,413
Speaker 2: Oh right, okay, right, I wasn't aware of it.

445
00:20:19,053 --> 00:20:19,613
Speaker 7: They'll come with it.

446
00:20:19,893 --> 00:20:23,333
Speaker 2: Wow. Interesting, that's what quite a great feature. So can

447
00:20:23,373 --> 00:20:25,613
Speaker 2: you turn it off and turn it on? Or is

448
00:20:25,613 --> 00:20:27,013
Speaker 2: it a standard all the time?

449
00:20:27,973 --> 00:20:28,133
Speaker 5: Oh?

450
00:20:28,133 --> 00:20:28,333
Speaker 15: Sure?

451
00:20:28,373 --> 00:20:30,213
Speaker 16: This technology to get my son to do that?

452
00:20:32,093 --> 00:20:34,653
Speaker 2: And has it gone off for you many times? For

453
00:20:34,693 --> 00:20:36,413
Speaker 2: the for the eyes closing.

454
00:20:38,053 --> 00:20:41,013
Speaker 7: You get beat quite a bit, yep, a bit manly

455
00:20:41,013 --> 00:20:45,533
Speaker 7: for looking out because travel the back of whatever beautiful

456
00:20:45,573 --> 00:20:48,653
Speaker 7: countryside sometimes you wake up to just the beautiful crosty

457
00:20:48,693 --> 00:20:50,253
Speaker 7: mornings and you're looking out and sort of get a

458
00:20:50,333 --> 00:20:53,773
Speaker 7: get a kick. Occasionally I have been sleepy. I'll have

459
00:20:53,893 --> 00:20:55,733
Speaker 7: met it. I'm just going to get home and hit

460
00:20:55,773 --> 00:20:57,693
Speaker 7: the bed and wake up so I can listen to

461
00:20:57,693 --> 00:21:00,333
Speaker 7: you guys punishing.

462
00:21:00,533 --> 00:21:04,572
Speaker 2: Hey, so do you when it beeps though, is that

463
00:21:04,693 --> 00:21:06,213
Speaker 2: enough to keep you awake? Or do you do you

464
00:21:06,293 --> 00:21:09,013
Speaker 2: feel like you have to pull over and and get

465
00:21:09,053 --> 00:21:10,333
Speaker 2: some sleep?

466
00:21:11,533 --> 00:21:12,853
Speaker 7: Gives me sing of embarrassment.

467
00:21:13,133 --> 00:21:14,293
Speaker 2: Yeah right, yeah.

468
00:21:15,933 --> 00:21:20,052
Speaker 4: Yeah, and so so that's enough to get your home effectively?

469
00:21:20,133 --> 00:21:22,413
Speaker 4: That that we beap it might set the heart racing

470
00:21:22,493 --> 00:21:25,213
Speaker 4: and thinking, all jeepers, I'm pretty fatigued here. I'm going

471
00:21:25,253 --> 00:21:26,973
Speaker 4: to be a lot more careful and when I get home,

472
00:21:27,013 --> 00:21:29,373
Speaker 4: I'm straight to bed because I need it.

473
00:21:29,813 --> 00:21:30,493
Speaker 8: Yeah.

474
00:21:30,093 --> 00:21:34,453
Speaker 4: Yeah, great technology, fantastic, Matt, Thank you very much for

475
00:21:34,493 --> 00:21:35,613
Speaker 4: giving us a bus, because.

476
00:21:35,373 --> 00:21:37,733
Speaker 2: I know a lot of you know, professional drivers have

477
00:21:37,813 --> 00:21:42,413
Speaker 2: that installed, yeah, you know, by their companies. Yeah, but

478
00:21:42,613 --> 00:21:45,213
Speaker 2: I don't actually realize that it can come standard with

479
00:21:45,213 --> 00:21:45,733
Speaker 2: with the car.

480
00:21:45,853 --> 00:21:47,493
Speaker 3: Good on Sabaru for installing that.

481
00:21:47,533 --> 00:21:49,173
Speaker 4: I'd love to have it in my car just to see,

482
00:21:49,333 --> 00:21:51,053
Speaker 4: just to see how many times it beeps at me

483
00:21:51,093 --> 00:21:53,493
Speaker 4: to say you're an idiot, go to bed.

484
00:21:53,893 --> 00:21:56,213
Speaker 2: Yeah, I mean, I guess if you're at that point though,

485
00:21:56,293 --> 00:21:59,973
Speaker 2: then you're already like riding the line, aren't you of safety?

486
00:22:00,173 --> 00:22:00,453
Speaker 3: Yeah?

487
00:22:00,533 --> 00:22:03,933
Speaker 2: Yeah, because you know you don't want want to rely on.

488
00:22:03,933 --> 00:22:06,333
Speaker 4: That yeah, oh, one hundred and eighty ten eighty if

489
00:22:06,333 --> 00:22:07,813
Speaker 4: you've got a Subaru as well, or some of that

490
00:22:07,853 --> 00:22:10,613
Speaker 4: technology and your car. Love to hear from you. But

491
00:22:10,653 --> 00:22:13,853
Speaker 4: we are, of course talking about fatigue driving. If you

492
00:22:13,973 --> 00:22:16,453
Speaker 4: have had a near miss while being fatigued, really can

493
00:22:16,493 --> 00:22:18,133
Speaker 4: never chat with you. O eighte hundred and eighty ten

494
00:22:18,173 --> 00:22:20,653
Speaker 4: eighty and nine two ninety two is the text number.

495
00:22:20,773 --> 00:22:22,733
Speaker 2: Hi, guys, put a bag of cement on the passenger

496
00:22:22,773 --> 00:22:24,853
Speaker 2: seat without the seat beard. It'll think it's a passioner.

497
00:22:24,933 --> 00:22:27,133
Speaker 2: The ding ding ding will keep you awake, but we'll

498
00:22:27,213 --> 00:22:29,893
Speaker 2: drive you crazy, which will keep your journey short. I

499
00:22:29,893 --> 00:22:31,933
Speaker 2: need to do something about my car. My car is

500
00:22:32,093 --> 00:22:36,053
Speaker 2: detecting people. My dog Coliny, it doesn't even weigh ten

501
00:22:36,133 --> 00:22:39,733
Speaker 2: kg yep, but he'll just jump around all the seats. Awkward,

502
00:22:39,733 --> 00:22:41,373
Speaker 2: isn't it? And then my car is like there's someone there,

503
00:22:41,373 --> 00:22:45,093
Speaker 2: and I'm like, come on, there's no ten kg people.

504
00:22:44,813 --> 00:22:45,773
Speaker 3: There's no ghosts in the back.

505
00:22:45,853 --> 00:22:46,053
Speaker 2: Yeah.

506
00:22:46,133 --> 00:22:48,853
Speaker 3: Yeah. Head Lines with Raylene coming up and then we're

507
00:22:48,893 --> 00:22:49,773
Speaker 3: back very soon.

508
00:22:51,373 --> 00:22:55,013
Speaker 17: U's talk said, be headlines with your rides New Zentance

509
00:22:55,093 --> 00:22:59,253
Speaker 17: number one taxi at download you'll ride today tod longest

510
00:22:59,293 --> 00:23:02,853
Speaker 17: city Council has decided to hold an independent external review

511
00:23:03,213 --> 00:23:07,053
Speaker 17: into the deadly Manganui Landslide. Council has voted for the

512
00:23:07,093 --> 00:23:11,052
Speaker 17: external review over rapid internal assessment by a senior staff

513
00:23:11,093 --> 00:23:14,853
Speaker 17: member with no prior involvement. Police are leaving the site

514
00:23:14,973 --> 00:23:18,853
Speaker 17: with all six bodies now recovered. A plea to help

515
00:23:18,893 --> 00:23:22,733
Speaker 17: identify group of around forty dirt bikers who caused havoc

516
00:23:22,733 --> 00:23:25,773
Speaker 17: and parts of Auckland over the weekend during a wild ride.

517
00:23:26,173 --> 00:23:30,213
Speaker 17: The group pulled wheelies, drove over footpaths in Autara and

518
00:23:30,293 --> 00:23:35,093
Speaker 17: traveled through sports fields at motorway speeds. Iran's leader is

519
00:23:35,133 --> 00:23:39,213
Speaker 17: warning any US attack would spark a regional war. Tensions

520
00:23:39,213 --> 00:23:42,093
Speaker 17: of being high between the nations since a brutal crackdown

521
00:23:42,133 --> 00:23:46,573
Speaker 17: on protesters in Iran earlier this month. The operation is

522
00:23:46,693 --> 00:23:50,613
Speaker 17: under way to submerge the capsized tourist boat, stabilizing it

523
00:23:50,853 --> 00:23:54,493
Speaker 17: before removing it from the Accadoa heads. The black Cat

524
00:23:54,573 --> 00:23:57,693
Speaker 17: crewise vessel was carrying thirty eight passengers and three crew

525
00:23:57,973 --> 00:24:00,933
Speaker 17: when it ran into trouble on Saturday afternoon, Or was

526
00:24:00,973 --> 00:24:06,493
Speaker 17: safely rescued. Prestigious cities eighty million dollars seven story waterfront

527
00:24:06,493 --> 00:24:08,773
Speaker 17: building to be finished by the end of the year.

528
00:24:09,093 --> 00:24:12,013
Speaker 17: You can see more at Z Here'll premium Back to

529
00:24:12,053 --> 00:24:13,653
Speaker 17: Matt Heath and Tyler Adams.

530
00:24:13,693 --> 00:24:14,933
Speaker 3: Thank you very much, Roylean.

531
00:24:15,053 --> 00:24:17,333
Speaker 4: So we are discussing a new report that's revealed early

532
00:24:17,373 --> 00:24:20,773
Speaker 4: mornings are a high risk period for fender benders, just

533
00:24:20,853 --> 00:24:23,613
Speaker 4: as parents return their kids to the school drop off.

534
00:24:24,053 --> 00:24:26,613
Speaker 4: It found that fatigue related accidents are more likely between

535
00:24:26,653 --> 00:24:29,133
Speaker 4: seven am and eight am, right when those children are

536
00:24:29,213 --> 00:24:32,453
Speaker 4: hitting to school. Heavier traffic time presure children and buses.

537
00:24:32,653 --> 00:24:35,053
Speaker 4: It all adds to a high risk time.

538
00:24:35,333 --> 00:24:38,693
Speaker 2: Telling what works for me and this makes me alert

539
00:24:38,693 --> 00:24:41,973
Speaker 2: for the entire drive because I think it's risky getting

540
00:24:42,013 --> 00:24:45,053
Speaker 2: tired and then trying to solve the situation, right, Yeah,

541
00:24:45,093 --> 00:24:46,973
Speaker 2: So if you can have something that just makes you awake,

542
00:24:47,613 --> 00:24:50,333
Speaker 2: so and this won't work for overnight truckers or anything,

543
00:24:50,693 --> 00:24:53,213
Speaker 2: but I just make sure I get the most amount

544
00:24:53,213 --> 00:24:55,373
Speaker 2: of light coming into the top of my eyes before

545
00:24:55,373 --> 00:24:59,453
Speaker 2: I get into the car. And it's evolutionarily speaking, that's

546
00:24:59,853 --> 00:25:03,733
Speaker 2: the signal for your mind to change the sleep hormones

547
00:25:03,773 --> 00:25:05,293
Speaker 2: to the awake hormones.

548
00:25:04,933 --> 00:25:06,533
Speaker 3: Right right, flushes out the malatonin.

549
00:25:06,733 --> 00:25:08,573
Speaker 2: Yeah, So you get as much light as you can

550
00:25:08,613 --> 00:25:10,013
Speaker 2: in the top of your eyes. So you walk around

551
00:25:10,053 --> 00:25:13,253
Speaker 2: without your sunglasses on. And even if it's overclass that's

552
00:25:13,333 --> 00:25:15,733
Speaker 2: that's actually pretty blight bright. It's brighter than we think

553
00:25:15,773 --> 00:25:18,613
Speaker 2: it is when it's overclass cast, so that can work.

554
00:25:18,653 --> 00:25:20,453
Speaker 2: So you just get real sun on the top of

555
00:25:20,493 --> 00:25:24,053
Speaker 2: your eyes. So coming down from above, walk around for

556
00:25:24,093 --> 00:25:26,213
Speaker 2: five minutes, and when you get in the car, don't

557
00:25:26,253 --> 00:25:28,293
Speaker 2: wear a hat and sunglasses. A lot of people drive

558
00:25:28,333 --> 00:25:30,693
Speaker 2: in sunglasses. So basically what you're doing is you're concurning

559
00:25:30,693 --> 00:25:34,013
Speaker 2: yourself in the most comfortable possible seat. Car seats are

560
00:25:34,013 --> 00:25:39,893
Speaker 2: so comfortable, You're warm, you're you're you're in the in

561
00:25:39,933 --> 00:25:42,413
Speaker 2: the dark. Basically you're in a dim light and you

562
00:25:42,453 --> 00:25:46,893
Speaker 2: haven't fully woken up yet. You're basically driving along setting

563
00:25:46,893 --> 00:25:51,812
Speaker 2: yourself up with the perfect sleeping conditions. When I do that,

564
00:25:51,853 --> 00:25:54,333
Speaker 2: when I make sure I get sun on top of

565
00:25:54,333 --> 00:25:56,013
Speaker 2: my eyes, you know, for five or ten minutes before

566
00:25:56,013 --> 00:25:58,173
Speaker 2: I drive. This is long distance, and I make sure

567
00:25:58,213 --> 00:26:00,813
Speaker 2: I don't put my sunglasses on, I don't have a

568
00:26:00,813 --> 00:26:03,093
Speaker 2: hat on, and make sure the light's still coming into

569
00:26:03,093 --> 00:26:04,853
Speaker 2: my eyes. I lean forward a little bit every now

570
00:26:04,893 --> 00:26:07,613
Speaker 2: and then I'm as wake as can be. Yeah, and

571
00:26:07,653 --> 00:26:09,733
Speaker 2: I used to be so sleepy that I was constantly

572
00:26:09,773 --> 00:26:12,813
Speaker 2: making Tracy drive because I was so prone to getting

573
00:26:12,853 --> 00:26:15,293
Speaker 2: sleepy when I was driving completely fixed.

574
00:26:15,293 --> 00:26:17,653
Speaker 4: It makes a lot of sense, is that, because I

575
00:26:17,653 --> 00:26:20,173
Speaker 4: don't often wear sunglasses when I'm driving, but on the

576
00:26:20,173 --> 00:26:22,653
Speaker 4: long distance once have the sunny's on because I think,

577
00:26:22,733 --> 00:26:24,093
Speaker 4: you know, it's going to stop the glear and make

578
00:26:24,093 --> 00:26:24,333
Speaker 4: me a.

579
00:26:24,253 --> 00:26:24,733
Speaker 3: Bit of driver.

580
00:26:25,013 --> 00:26:26,893
Speaker 4: But then when I come to a piece of road

581
00:26:27,013 --> 00:26:29,533
Speaker 4: that I've got to really concentrate, I take the sunnies

582
00:26:29,573 --> 00:26:31,613
Speaker 4: off because there's some part about my brain that when

583
00:26:31,653 --> 00:26:32,413
Speaker 4: everything's just.

584
00:26:32,373 --> 00:26:35,053
Speaker 3: A little bit duller, a little bit darker, I don't

585
00:26:35,133 --> 00:26:36,693
Speaker 3: think I'm going to be quite as onto it.

586
00:26:36,773 --> 00:26:39,253
Speaker 4: So take off the sunnies, get through the dangerous period,

587
00:26:39,293 --> 00:26:40,253
Speaker 4: and the sunnys go back on.

588
00:26:40,333 --> 00:26:43,693
Speaker 2: I wonder if people that drive in convertibles when there's

589
00:26:43,933 --> 00:26:46,693
Speaker 2: no roof on it so that the light's coming down constantly,

590
00:26:47,253 --> 00:26:49,733
Speaker 2: people that drive in convertibles with no sunglasses on, I

591
00:26:49,853 --> 00:26:51,693
Speaker 2: guarantee they don't get very sleep when they're driving.

592
00:26:51,733 --> 00:26:53,453
Speaker 4: YEA, if you're a convertible driver, I eight one hundred

593
00:26:53,453 --> 00:26:55,373
Speaker 4: and eighty ten eighties and number to call Marcel.

594
00:26:55,453 --> 00:26:59,653
Speaker 15: You're a career driver, yeah, I do a lot of

595
00:26:59,693 --> 00:27:01,333
Speaker 15: long difference. I do point to point.

596
00:27:02,853 --> 00:27:04,093
Speaker 2: What's point to point.

597
00:27:05,333 --> 00:27:09,013
Speaker 15: When you pick up from one customer to the next.

598
00:27:08,493 --> 00:27:12,013
Speaker 15: I do a lot of yeah, yeah, communting to Hamilton

599
00:27:12,213 --> 00:27:16,573
Speaker 15: and Toronto and wherever we go. I find my fatigue

600
00:27:16,613 --> 00:27:19,973
Speaker 15: time is normally between three pm and four pm. You're

601
00:27:20,013 --> 00:27:25,293
Speaker 15: on the same Yeah, And what I normally do. I

602
00:27:25,413 --> 00:27:31,693
Speaker 15: found that chewing keeps me awake, So chewing fruit. I

603
00:27:31,853 --> 00:27:39,133
Speaker 15: just keep heaps of fruit when I drive. It helps me, right, Yeah.

604
00:27:37,853 --> 00:27:38,773
Speaker 3: And what do you think it is?

605
00:27:38,813 --> 00:27:40,973
Speaker 4: I mean a lot of people during the workday get

606
00:27:41,013 --> 00:27:43,933
Speaker 4: the you know, the three o'clock sleepy so to speak.

607
00:27:44,413 --> 00:27:46,093
Speaker 4: But for you, I take it you start at a

608
00:27:46,093 --> 00:27:48,093
Speaker 4: normal time. You're on the road about seven thirty.

609
00:27:48,813 --> 00:27:55,013
Speaker 15: Yeah. Yeah. Also to avoid a heavy lunch that also yeah,

610
00:27:55,093 --> 00:27:58,413
Speaker 15: also yeah, that causes you to be sleepy.

611
00:28:01,013 --> 00:28:01,213
Speaker 14: Yeah.

612
00:28:01,453 --> 00:28:04,413
Speaker 15: Just a lot of a lot of people pull over

613
00:28:04,493 --> 00:28:08,053
Speaker 15: and have the red Bull when they're sleepy. Those type

614
00:28:08,053 --> 00:28:10,693
Speaker 15: of en if you drinks, they don't work automatically, so

615
00:28:10,813 --> 00:28:12,213
Speaker 15: that's pretty dangerous.

616
00:28:13,413 --> 00:28:13,613
Speaker 8: Yeah.

617
00:28:13,613 --> 00:28:15,213
Speaker 2: I mean people forget that when you have a coffee

618
00:28:15,213 --> 00:28:19,693
Speaker 2: that the effix of caffeine don't ca can for what.

619
00:28:19,053 --> 00:28:21,013
Speaker 15: To have it before you get tired, not when you.

620
00:28:21,013 --> 00:28:23,533
Speaker 2: Tie Yeah, yeah, yeah, yeah. I mean you can actually

621
00:28:23,613 --> 00:28:27,173
Speaker 2: use caffeine as an alarm clock. So if you want

622
00:28:27,213 --> 00:28:31,013
Speaker 2: to have a nap for an hour, have a coffee beforehand,

623
00:28:31,493 --> 00:28:33,573
Speaker 2: go to sleep, and then you'll then it will wake

624
00:28:33,613 --> 00:28:34,693
Speaker 2: you up in like forty five minutes.

625
00:28:36,333 --> 00:28:36,533
Speaker 10: Yeah.

626
00:28:36,613 --> 00:28:42,293
Speaker 15: It also leave your window open the aircorn doesn't really

627
00:28:42,333 --> 00:28:47,733
Speaker 15: help with oxygen. It's good freshly coming through the window.

628
00:28:47,773 --> 00:28:52,293
Speaker 15: That helps. And yet, and I like listen. I listen

629
00:28:52,333 --> 00:28:54,693
Speaker 15: to you guys because I'm not noticed. If I listen

630
00:28:54,733 --> 00:28:58,133
Speaker 15: to anything with music, melodies kind of make me drowsy.

631
00:28:58,213 --> 00:29:01,933
Speaker 15: But if I listen to talk with people are having

632
00:29:01,973 --> 00:29:05,853
Speaker 15: a chat about something, it kind of keeps my head

633
00:29:05,893 --> 00:29:08,013
Speaker 15: going about thinking about what's going on.

634
00:29:08,373 --> 00:29:10,933
Speaker 2: But that's the nicest something. That's a nice thing. Anyone's

635
00:29:10,973 --> 00:29:12,933
Speaker 2: ever said to us that we don't put we don't

636
00:29:12,933 --> 00:29:13,573
Speaker 2: put them to sleep.

637
00:29:13,653 --> 00:29:16,293
Speaker 3: Yeah, it's a huge means a lot.

638
00:29:17,853 --> 00:29:21,453
Speaker 15: It's just it's more it's way more interesting to listen

639
00:29:21,493 --> 00:29:25,773
Speaker 15: to people talking then to have something going on on

640
00:29:25,853 --> 00:29:27,413
Speaker 15: the radio, like like a song.

641
00:29:27,493 --> 00:29:28,613
Speaker 3: You know, yeah, you don't.

642
00:29:28,653 --> 00:29:31,213
Speaker 4: You don't have those cameras that the other caller talked about.

643
00:29:31,213 --> 00:29:34,293
Speaker 4: As a curier driver is there those discussions started.

644
00:29:37,133 --> 00:29:40,733
Speaker 15: No, we we do. We don't have that, but there

645
00:29:40,773 --> 00:29:45,773
Speaker 15: are people that have functioned cameras in the van that

646
00:29:47,293 --> 00:29:49,933
Speaker 15: kind of keep an eye on them from the office.

647
00:29:49,973 --> 00:29:52,373
Speaker 15: But it all depends on you if you want that.

648
00:29:53,333 --> 00:29:53,573
Speaker 3: Yeah.

649
00:29:54,213 --> 00:29:56,013
Speaker 2: So if you if you if you pulled over to

650
00:29:56,093 --> 00:30:00,573
Speaker 2: have a nap because you were feeling tired, would you

651
00:30:00,613 --> 00:30:03,533
Speaker 2: feel PreCure that you weren't going to make your you know,

652
00:30:03,573 --> 00:30:05,613
Speaker 2: your point to point quick enough?

653
00:30:07,213 --> 00:30:12,093
Speaker 15: Well, yeah, if you kind of if you were feeling

654
00:30:12,093 --> 00:30:14,853
Speaker 15: that you're going that way, you shouldn't accept the job

655
00:30:14,893 --> 00:30:19,333
Speaker 15: because jobs have time frames. Yeah right, So for instance,

656
00:30:20,053 --> 00:30:25,013
Speaker 15: if somebody has an operation down in Hamilton at two

657
00:30:25,093 --> 00:30:27,813
Speaker 15: o'clock and you need to drop the stuff off at twelve,

658
00:30:28,413 --> 00:30:30,813
Speaker 15: and you've left at ten, and you decide to have

659
00:30:30,853 --> 00:30:35,573
Speaker 15: a n app, then the whole operation is delayed. Then yeah, yeah, right.

660
00:30:36,293 --> 00:30:38,173
Speaker 2: So do you think I mean, you sound like a

661
00:30:38,213 --> 00:30:41,293
Speaker 2: responsible career driver, but do you think you know many

662
00:30:41,293 --> 00:30:45,253
Speaker 2: others would would be responsible enough to go? Look, I'm

663
00:30:45,253 --> 00:30:46,853
Speaker 2: a bit drowsy, I'm not going to take that job.

664
00:30:48,573 --> 00:30:51,933
Speaker 15: No, I don't think they do their truck drivers as well.

665
00:30:53,533 --> 00:30:55,893
Speaker 15: I mean I've met some guys who have been on

666
00:30:55,893 --> 00:30:59,773
Speaker 15: the road for like eighteen hours, which is really dangerous. Yeah.

667
00:30:59,973 --> 00:31:02,813
Speaker 2: Yeah, I mean not supposed to. I mean you legally

668
00:31:02,853 --> 00:31:03,973
Speaker 2: can't do those kind of shifts.

669
00:31:04,013 --> 00:31:08,253
Speaker 15: Yeah yeah, yeah, Now, but some people just try their

670
00:31:08,773 --> 00:31:11,613
Speaker 15: to make as much as money as that it becomes

671
00:31:11,653 --> 00:31:17,293
Speaker 15: a bit of a mess. Yeah, but it's up to

672
00:31:17,333 --> 00:31:18,693
Speaker 15: you to be irresponsible.

673
00:31:19,053 --> 00:31:22,653
Speaker 2: Yeah, I mean the consequences are so large that you know,

674
00:31:22,693 --> 00:31:24,813
Speaker 2: you're feeling drowsy and you fall asleep on the road

675
00:31:24,813 --> 00:31:28,093
Speaker 2: and you cross the center line and smash into a family. Say,

676
00:31:28,853 --> 00:31:30,773
Speaker 2: I think people have to keep that in mind, that

677
00:31:31,253 --> 00:31:34,413
Speaker 2: the amount of carnage you could cause, if not just

678
00:31:34,453 --> 00:31:38,533
Speaker 2: to yourself, yeah, to a bunch of other people. Yeah. Hey,

679
00:31:39,013 --> 00:31:41,133
Speaker 2: have you if you ever tried walking around and getting

680
00:31:41,133 --> 00:31:41,973
Speaker 2: sun in your eyes?

681
00:31:42,013 --> 00:31:46,013
Speaker 15: Just y, yeah, I do do that. I do. Just

682
00:31:46,053 --> 00:31:50,293
Speaker 15: stop off, yeah, just to pull over. You got to

683
00:31:50,333 --> 00:31:53,373
Speaker 15: pull over where you can. You can't pull over the

684
00:31:53,413 --> 00:31:55,893
Speaker 15: motivate it's a big yeah.

685
00:31:55,653 --> 00:31:57,173
Speaker 9: Yeah yeah yeah.

686
00:31:58,573 --> 00:32:01,293
Speaker 2: I Well, thank you so much for your calling, Marcel,

687
00:32:01,373 --> 00:32:02,253
Speaker 2: and you stay safe out there.

688
00:32:02,293 --> 00:32:02,453
Speaker 7: Yeah.

689
00:32:02,453 --> 00:32:03,853
Speaker 3: It sounds like a good courier driver.

690
00:32:04,053 --> 00:32:05,973
Speaker 4: One eighty ten eighty is a number to call if

691
00:32:05,973 --> 00:32:08,533
Speaker 4: you've had a near miss driving fatigued love to hear

692
00:32:08,533 --> 00:32:10,133
Speaker 4: from you or how do you deal with it if

693
00:32:10,133 --> 00:32:12,413
Speaker 4: you find yourself in that situation? Nine two nine too

694
00:32:12,533 --> 00:32:13,093
Speaker 4: is the text.

695
00:32:13,293 --> 00:32:15,853
Speaker 2: When are you gonna Marpet's going to say? What's really

696
00:32:15,893 --> 00:32:19,853
Speaker 2: happening here? It's obvious why these crashes are happening between

697
00:32:19,853 --> 00:32:22,933
Speaker 2: seven and eight. It's not the sleepiness, it's the woman drivers.

698
00:32:22,973 --> 00:32:31,053
Speaker 3: O Oh dear, come on, Tom, Tom, Tom, Tom.

699
00:32:30,253 --> 00:32:32,173
Speaker 4: You're in trouble with the wife when you get home, mate,

700
00:32:32,253 --> 00:32:35,253
Speaker 4: Oh shapers, what a grenade to come on?

701
00:32:38,013 --> 00:32:41,373
Speaker 1: The big stories, the big issues, to the trends and

702
00:32:41,733 --> 00:32:42,693
Speaker 1: everything in between.

703
00:32:42,853 --> 00:32:45,973
Speaker 10: Matty and Tyler Adams afternoons with Scoter.

704
00:32:46,173 --> 00:32:49,013
Speaker 1: Please go to codes every day at scoter dot co

705
00:32:49,133 --> 00:32:50,013
Speaker 1: dot news.

706
00:32:50,093 --> 00:32:53,173
Speaker 2: Dogs'd be it is twelve to two, Hi, guys. I'm

707
00:32:53,213 --> 00:32:56,013
Speaker 2: on the rural services industry. I'm in the royal services indury.

708
00:32:56,013 --> 00:32:58,733
Speaker 2: I drive sixty five thousand k's a year and there

709
00:32:58,813 --> 00:33:01,893
Speaker 2: are crazy drivers on the road twenty four seven, but

710
00:33:02,013 --> 00:33:05,733
Speaker 2: particularly bad as early morning school preschool pick up and

711
00:33:05,893 --> 00:33:07,653
Speaker 2: drop off, and then of course you've got it in

712
00:33:07,693 --> 00:33:10,613
Speaker 2: the afternoon. Same But honestly, driving around like I do,

713
00:33:10,653 --> 00:33:13,453
Speaker 2: the idiots on the road everywhere. I hope I'm not

714
00:33:13,493 --> 00:33:16,813
Speaker 2: considered one of them. Boy, other people are on the road.

715
00:33:17,533 --> 00:33:19,853
Speaker 2: Great show, guys. I hope I'm not considered one of

716
00:33:19,853 --> 00:33:22,013
Speaker 2: them by other people on the road, right, great show, guys,

717
00:33:22,133 --> 00:33:26,133
Speaker 2: have a great day. Thanks for your text, Craig WelCom

718
00:33:26,173 --> 00:33:26,413
Speaker 2: the show.

719
00:33:26,533 --> 00:33:26,773
Speaker 7: Jack.

720
00:33:28,133 --> 00:33:28,893
Speaker 18: Hey, how are you doing?

721
00:33:28,933 --> 00:33:29,533
Speaker 15: Guys?

722
00:33:29,653 --> 00:33:30,133
Speaker 3: Very well?

723
00:33:32,293 --> 00:33:34,573
Speaker 18: I haven't luckily, I haven't fallen asleep at the wheel.

724
00:33:35,013 --> 00:33:39,493
Speaker 18: But a bit of a funny one. A few years

725
00:33:39,493 --> 00:33:43,733
Speaker 18: back I was driving in Tajikistan, up in Central Asia

726
00:33:43,773 --> 00:33:46,133
Speaker 18: there with be made of mine, and I thought I

727
00:33:46,213 --> 00:33:49,373
Speaker 18: kept from Kip and let him take over the driving

728
00:33:49,373 --> 00:33:51,733
Speaker 18: for a bit. We even swapt over every now and again,

729
00:33:52,533 --> 00:33:54,773
Speaker 18: and I must have dozed up for about four or

730
00:33:54,773 --> 00:33:56,173
Speaker 18: five hours in a good sleep.

731
00:33:56,333 --> 00:33:59,773
Speaker 19: And I wake up and at sunset and I'm like,

732
00:34:00,013 --> 00:34:02,533
Speaker 19: where are we mats, I don't know. We get out

733
00:34:02,533 --> 00:34:06,253
Speaker 19: with part of a small village and pulling out a

734
00:34:06,253 --> 00:34:07,773
Speaker 19: map on the bottom of the car, trying to show

735
00:34:07,853 --> 00:34:09,853
Speaker 19: these guys, you know, whereabouts we put were pointing on

736
00:34:09,893 --> 00:34:12,333
Speaker 19: the map into you know, into somewhere into Jigistan, and

737
00:34:12,333 --> 00:34:14,852
Speaker 19: they're like shaking their heads and they're pointing in northern Afghanistan.

738
00:34:15,893 --> 00:34:19,652
Speaker 19: So what what had happened was we were driving by

739
00:34:19,693 --> 00:34:23,093
Speaker 19: this river and this big balley, and my mate, as

740
00:34:23,093 --> 00:34:24,413
Speaker 19: he told me, he said, the road forked.

741
00:34:24,453 --> 00:34:26,212
Speaker 18: He said, the road going down to the river looked

742
00:34:26,253 --> 00:34:28,493
Speaker 18: a lot betterer. So I took that, drove across the

743
00:34:28,533 --> 00:34:30,613
Speaker 18: river and just kept on driving. So apparently the river

744
00:34:30,733 --> 00:34:32,933
Speaker 18: was the border between Tajikistan and Afghanistan.

745
00:34:33,453 --> 00:34:35,373
Speaker 3: Right border hoppy?

746
00:34:35,453 --> 00:34:41,813
Speaker 2: But when was this oh twenty twelve? Right, So Afghanistan

747
00:34:42,093 --> 00:34:43,693
Speaker 2: was a dangerous place to be.

748
00:34:44,893 --> 00:34:48,773
Speaker 18: Yeah, I think we just lucked out. Like we stopped

749
00:34:48,773 --> 00:34:50,573
Speaker 18: and it was this village in north Afghanisa and there

750
00:34:50,613 --> 00:34:53,893
Speaker 18: was definitely like it was a tally village like. But

751
00:34:53,933 --> 00:34:55,853
Speaker 18: they once they found out we were doing some type

752
00:34:55,853 --> 00:34:57,853
Speaker 18: of a charity event, they would seem to be all sweet.

753
00:34:57,893 --> 00:34:59,853
Speaker 18: They thought of bakha for us. We stayed the night

754
00:34:59,893 --> 00:35:01,693
Speaker 18: with them, you know, they put us up in this village.

755
00:35:01,733 --> 00:35:04,773
Speaker 4: Yeah, well there, I mean that is a warning for

756
00:35:05,053 --> 00:35:07,613
Speaker 4: falling asleep and let your mate drive that you might

757
00:35:07,733 --> 00:35:08,773
Speaker 4: end up in f to stand.

758
00:35:09,173 --> 00:35:11,853
Speaker 2: I've got a story I'll quickly tell I might have

759
00:35:11,853 --> 00:35:14,093
Speaker 2: told you on the show. Before I was driving, I

760
00:35:14,133 --> 00:35:15,853
Speaker 2: was doing some shooting in central Otago and I was

761
00:35:15,933 --> 00:35:18,812
Speaker 2: driving not far from Alexandra, and I was driving along.

762
00:35:18,813 --> 00:35:21,613
Speaker 2: It was my turn to drive doing some filming in

763
00:35:21,653 --> 00:35:24,133
Speaker 2: the middle of the night. And then as I was

764
00:35:24,173 --> 00:35:30,773
Speaker 2: driving along, a young child on a giant tricycle passed me,

765
00:35:31,253 --> 00:35:33,693
Speaker 2: like a huge tricycle, like the size of a truck.

766
00:35:34,653 --> 00:35:38,173
Speaker 2: Giant tricycle. It a kid, yep, giant child.

767
00:35:38,213 --> 00:35:39,212
Speaker 3: It's out of a thing to see.

768
00:35:40,093 --> 00:35:44,493
Speaker 2: And I thought to myself, I must be asleep because

769
00:35:44,493 --> 00:35:47,653
Speaker 2: this can't be real. So I wake myself up. Wow,

770
00:35:48,413 --> 00:35:51,773
Speaker 2: And since then I've been just so. I was pulled

771
00:35:51,813 --> 00:35:54,253
Speaker 2: over and I was like, oh my, oh, my goodness.

772
00:35:54,693 --> 00:35:58,773
Speaker 2: And since then I've been just absolutely vigilant on not

773
00:35:58,813 --> 00:36:00,333
Speaker 2: falling asleep with a car.

774
00:36:00,653 --> 00:36:03,212
Speaker 3: Thank god, your dream brain said, if I if.

775
00:36:03,133 --> 00:36:06,253
Speaker 2: I dream something mundane, I might not have You know,

776
00:36:06,493 --> 00:36:09,493
Speaker 2: if I just dreamed a Honda Civic passing, then I

777
00:36:09,573 --> 00:36:11,493
Speaker 2: might have awaken up. But it was just the the

778
00:36:12,013 --> 00:36:15,493
Speaker 2: a giant tricycle traveling at in one hundred kilimeters.

779
00:36:15,173 --> 00:36:17,813
Speaker 3: Now just just a little bit left field. Quish here.

780
00:36:17,853 --> 00:36:20,293
Speaker 3: Why are you dreaming about kids on messi tricycles?

781
00:36:20,573 --> 00:36:23,973
Speaker 2: I don't know. I don't know. Someone someone tried to

782
00:36:23,973 --> 00:36:26,573
Speaker 2: help me by putting that thought in my brain, because

783
00:36:26,613 --> 00:36:27,133
Speaker 2: it woke me up.

784
00:36:27,173 --> 00:36:29,373
Speaker 4: And thank God for that right back very shortly. It

785
00:36:29,453 --> 00:36:31,493
Speaker 4: is eight minutes to two oh. Eight hundred and eighty

786
00:36:31,493 --> 00:36:32,533
Speaker 4: ten eighty is a number to call.

787
00:36:33,733 --> 00:36:37,333
Speaker 1: Matt Heath Taylor Adams taking your calls on eight hundred

788
00:36:37,413 --> 00:36:41,373
Speaker 1: eighty ten eighty. It's mad Heath and Taylor Adams afternoons.

789
00:36:40,853 --> 00:36:43,453
Speaker 3: News talks envy to two hey.

790
00:36:43,493 --> 00:36:46,053
Speaker 2: So just some official stuff from New Zealand Transport on

791
00:36:46,093 --> 00:36:49,933
Speaker 2: fatigue alert. Signs of fatigue trouble focusing, keeping eyes open

792
00:36:50,013 --> 00:36:53,053
Speaker 2: or holding your head up, daydreaming or disconnected thoughts, frequent

793
00:36:53,093 --> 00:36:55,773
Speaker 2: yawning or eye rubbing, drifting out of lane, tailgating or

794
00:36:55,773 --> 00:37:00,893
Speaker 2: missing exits, feelingless, restless or irritable. Practical tips before you drive,

795
00:37:00,933 --> 00:37:04,093
Speaker 2: get a full night's sleep ideally eight hours. Avoid driving

796
00:37:04,173 --> 00:37:06,213
Speaker 2: during hours you would normally be asleep late night. I

797
00:37:06,213 --> 00:37:08,893
Speaker 2: mean this is difficult for some professionals. Make sure after

798
00:37:08,933 --> 00:37:11,133
Speaker 2: sleeping you feel fully awake before sitting out. Don't drink

799
00:37:11,173 --> 00:37:14,893
Speaker 2: howcol before driving, even small amounts worse. Some fatigue plan

800
00:37:15,013 --> 00:37:16,933
Speaker 2: rest breaks about every two hours for every one hundred

801
00:37:16,973 --> 00:37:20,213
Speaker 2: kilometers shar driving. If others are an available, Snack on

802
00:37:20,333 --> 00:37:23,333
Speaker 2: light fresh foods. High sugar fatty foods can make you sleepier.

803
00:37:23,453 --> 00:37:25,533
Speaker 2: If you feel tired, stop in a safe place, Do

804
00:37:25,653 --> 00:37:27,973
Speaker 2: not keep driving. Pull over safely and take a fifteen

805
00:37:27,973 --> 00:37:30,613
Speaker 2: to twenty minute poundnap. Longer naps can make you groggy.

806
00:37:30,813 --> 00:37:33,293
Speaker 2: Wait at least ten minutes after waking before continue to drive.

807
00:37:33,333 --> 00:37:36,173
Speaker 2: If you feel still feel tired, find a place to

808
00:37:36,213 --> 00:37:40,853
Speaker 2: get a longer sleep or postpone driving. Okay, for heavy

809
00:37:40,853 --> 00:37:43,333
Speaker 2: and commercial figures, take a rest break at least thirty

810
00:37:43,373 --> 00:37:46,333
Speaker 2: minutes after about five and a half hours worktime.

811
00:37:46,573 --> 00:37:50,053
Speaker 4: That is some good stuff. That is great advice. Yeah, fantastic, Billy.

812
00:37:50,173 --> 00:37:52,733
Speaker 4: How are you mate, We've got about two sty seconds.

813
00:37:52,973 --> 00:37:56,093
Speaker 8: Yeah, I'm a truckie. And ectually, by the way, you

814
00:37:56,213 --> 00:37:59,053
Speaker 8: have to take a half and outbreak every five and

815
00:37:59,093 --> 00:38:02,213
Speaker 8: a half hours or you go to court. Yeah, we

816
00:38:02,653 --> 00:38:06,533
Speaker 8: just know. I always say that that's a dangerous time

817
00:38:06,573 --> 00:38:08,493
Speaker 8: of the day, no matter whether I'm in Auckland or

818
00:38:08,533 --> 00:38:11,853
Speaker 8: Wellington or hawks Laye, wherever, I'm loading and unloading, and

819
00:38:11,893 --> 00:38:14,453
Speaker 8: I'm extra alert because and I think there's more to

820
00:38:14,493 --> 00:38:17,812
Speaker 8: it than tiredness. I agree with tiredness, but there's people

821
00:38:17,933 --> 00:38:19,732
Speaker 8: going to work and they might be rushing to work,

822
00:38:19,733 --> 00:38:21,893
Speaker 8: that might be running late. They might be thinking about

823
00:38:21,933 --> 00:38:27,733
Speaker 8: their day work, you know, school kids getting kids to school,

824
00:38:28,173 --> 00:38:31,173
Speaker 8: and people I think aren't necessarily thinking about their driving.

825
00:38:31,213 --> 00:38:34,453
Speaker 8: They're not concentrating on their driving like myself as a

826
00:38:34,453 --> 00:38:36,893
Speaker 8: professional driver, I'm trained to do that.

827
00:38:37,173 --> 00:38:39,453
Speaker 4: Yeah, I think that's a big part of it. Billy, absolutely,

828
00:38:39,493 --> 00:38:41,093
Speaker 4: thank you very much. Sorry, I've got the news hot

829
00:38:41,133 --> 00:38:44,373
Speaker 4: on our tail. The great discussion. Thank you very much

830
00:38:44,453 --> 00:38:46,613
Speaker 4: everyone who phoned antixt.

831
00:38:46,093 --> 00:38:46,573
Speaker 3: On that one.

832
00:38:46,613 --> 00:38:50,893
Speaker 4: Coming up after two o'clock. Advanced robotics are coming for

833
00:38:50,973 --> 00:38:52,093
Speaker 4: us more soon.

834
00:38:53,853 --> 00:38:56,812
Speaker 1: Talking with you all afternoon. It's madd Heath and Tyler

835
00:38:56,893 --> 00:39:00,133
Speaker 1: Adams Afternoons with Scoder News Talk Sat.

836
00:39:00,933 --> 00:39:01,733
Speaker 3: Very good afternoons.

837
00:39:01,773 --> 00:39:05,133
Speaker 4: You welcome back into the program. And can we just

838
00:39:05,173 --> 00:39:08,093
Speaker 4: say it is great to have Scoder on board with

839
00:39:08,173 --> 00:39:10,773
Speaker 4: me Heath and Tyler Adams Afternoons.

840
00:39:10,773 --> 00:39:11,813
Speaker 3: They have very good people.

841
00:39:12,213 --> 00:39:15,732
Speaker 2: Yeah, that's right. And they've got a promo happening called

842
00:39:15,773 --> 00:39:18,213
Speaker 2: Scoda Codes giving away a trip for two to the

843
00:39:18,253 --> 00:39:21,573
Speaker 2: Tour de France and we can help you be in

844
00:39:21,613 --> 00:39:21,973
Speaker 2: to win.

845
00:39:22,133 --> 00:39:23,053
Speaker 3: What a great prize.

846
00:39:23,053 --> 00:39:27,053
Speaker 4: There's a daily code waiting at SDA dot co dot

847
00:39:27,413 --> 00:39:30,732
Speaker 4: z and every Tuesday, Wednesday and Thursday we will give

848
00:39:30,773 --> 00:39:32,333
Speaker 4: you a major clue.

849
00:39:32,653 --> 00:39:36,773
Speaker 2: Yeah, because we want you to crack as many scoder

850
00:39:36,893 --> 00:39:40,413
Speaker 2: codes as possible SCODA, dot cod and z yep.

851
00:39:40,533 --> 00:39:43,333
Speaker 4: How good, fantastic to have them on board. Right, let's

852
00:39:43,373 --> 00:39:45,533
Speaker 4: get into this. We want to have a chat over

853
00:39:45,573 --> 00:39:47,893
Speaker 4: the next hour or so about the rapid advances in

854
00:39:48,093 --> 00:39:52,453
Speaker 4: AI and robotics. So in a recent podcast Diary Obvious

855
00:39:52,493 --> 00:39:56,293
Speaker 4: CEO hosts Steve Bartlett Wildly Successful podcast, he was talking

856
00:39:56,333 --> 00:40:00,853
Speaker 4: with AI expert Constantine Kissing and they discussed how fast

857
00:40:00,933 --> 00:40:02,893
Speaker 4: this technology has been progressing.

858
00:40:03,253 --> 00:40:05,973
Speaker 5: I think this is a really important connected point on

859
00:40:06,053 --> 00:40:08,253
Speaker 5: the subject of socialism. In the rise of socialism that

860
00:40:08,373 --> 00:40:11,973
Speaker 5: we will see is this point of AI. And when

861
00:40:12,013 --> 00:40:14,453
Speaker 5: I listen to very very smart people who are considered

862
00:40:14,493 --> 00:40:17,413
Speaker 5: to be the godfathers of AI or CEOs who are

863
00:40:17,413 --> 00:40:19,853
Speaker 5: building these technology companies, there seems to be a consensus

864
00:40:19,853 --> 00:40:23,213
Speaker 5: that socialism will only increase because the job losses associated

865
00:40:23,213 --> 00:40:25,893
Speaker 5: with AI are going to be pretty quick and pretty extreme.

866
00:40:26,533 --> 00:40:29,093
Speaker 5: And I mean one of them that most Brits won't

867
00:40:29,133 --> 00:40:32,212
Speaker 5: understand is something we understand now living in America, which

868
00:40:32,253 --> 00:40:34,293
Speaker 5: is my car driver itself. Yes, and I've said this

869
00:40:34,293 --> 00:40:35,973
Speaker 5: a few times because I'm really trying to It's like

870
00:40:36,013 --> 00:40:38,893
Speaker 5: the first moment Eureka moment I think you have is

871
00:40:38,893 --> 00:40:40,573
Speaker 5: in America. When I get in my car, I don't

872
00:40:40,613 --> 00:40:42,973
Speaker 5: touch this during all the pedals, and it can drive

873
00:40:42,973 --> 00:40:44,293
Speaker 5: me to Joshua Tree, which is like two and a

874
00:40:44,293 --> 00:40:47,533
Speaker 5: half three hours away, uninterrupted. And I say this because

875
00:40:47,773 --> 00:40:49,493
Speaker 5: driving is like one of the biggest employers in the world.

876
00:40:49,533 --> 00:40:51,093
Speaker 5: I think it is the biggest profession in the world.

877
00:40:51,693 --> 00:40:54,493
Speaker 5: And London just announced that way moos are here and

878
00:40:54,573 --> 00:40:58,013
Speaker 5: soon surely Tesla's will be allowed to do false off

879
00:40:58,133 --> 00:41:01,213
Speaker 5: driving here as well. And in such a world, delivery drivers,

880
00:41:01,413 --> 00:41:04,813
Speaker 5: taxi drivers, uber drivers are going to be without jobs.

881
00:41:04,813 --> 00:41:09,773
Speaker 5: And we're seeing this huge rizon oronomous humanoid robots as well.

882
00:41:10,213 --> 00:41:13,133
Speaker 5: And Elon's pay pack it says that he will make

883
00:41:13,173 --> 00:41:15,573
Speaker 5: a million of these autonomous robots and get them out

884
00:41:15,573 --> 00:41:18,333
Speaker 5: into the world. And Jason Karala Kanakas, who just visited

885
00:41:18,733 --> 00:41:21,413
Speaker 5: Elon's factory, said there'll be a billion of these and

886
00:41:21,613 --> 00:41:25,053
Speaker 5: he thinks that we won't even remember Tesla for making cars,

887
00:41:25,053 --> 00:41:27,133
Speaker 5: will only remember them for the robots they're made. Because

888
00:41:27,173 --> 00:41:30,893
Speaker 5: these Optimus robots which are coming are going to be

889
00:41:30,933 --> 00:41:32,813
Speaker 5: so consequential. And the last point here is a very

890
00:41:32,813 --> 00:41:35,133
Speaker 5: good friend of mine, who runs this big sort of

891
00:41:35,173 --> 00:41:38,853
Speaker 5: innovation accelerator in San Francisco. I visited the accelerator a

892
00:41:38,853 --> 00:41:41,893
Speaker 5: couple of weeks back, and I said to him, why

893
00:41:41,973 --> 00:41:44,133
Speaker 5: is everybody here, All these young founders, these forty fifty

894
00:41:44,173 --> 00:41:47,173
Speaker 5: young founders in your building called Ethink, all working on robotics.

895
00:41:47,413 --> 00:41:48,773
Speaker 5: And he goes, well, you know, we've had all the

896
00:41:48,773 --> 00:41:51,692
Speaker 5: parts for like twenty thirty years, but the expensive part

897
00:41:51,773 --> 00:41:52,493
Speaker 5: was the intelligence.

898
00:41:52,533 --> 00:41:52,893
Speaker 2: The brain.

899
00:41:53,133 --> 00:41:54,732
Speaker 5: Yeah, the brain. He goes, Now we have the brain,

900
00:41:54,773 --> 00:41:56,853
Speaker 5: said it used to. He showed me this arm, this

901
00:41:56,973 --> 00:41:58,773
Speaker 5: robotic arm that had a frying pan on it that

902
00:41:58,813 --> 00:42:00,973
Speaker 5: would cook for you in a box. It just cooks

903
00:42:00,973 --> 00:42:02,813
Speaker 5: whatever you want in a box. And he goes, we've

904
00:42:02,853 --> 00:42:05,212
Speaker 5: had all these parts for the last thirty years that

905
00:42:05,293 --> 00:42:07,773
Speaker 5: they were cheap. He goes, the intelligence part of the

906
00:42:07,813 --> 00:42:10,893
Speaker 5: brain would cost twenty or thirty thousand dollars just for

907
00:42:10,973 --> 00:42:14,293
Speaker 5: this little robot arm. Because now it's like two cents.

908
00:42:15,093 --> 00:42:17,533
Speaker 5: And he So you're seeing this huge explosion of robotics.

909
00:42:17,813 --> 00:42:19,812
Speaker 5: I don't think people understand what's coming.

910
00:42:21,013 --> 00:42:23,973
Speaker 2: Yes, So I guess the argument here, So if all

911
00:42:24,053 --> 00:42:26,493
Speaker 2: the productivity in the economy was provided by the work

912
00:42:26,493 --> 00:42:30,133
Speaker 2: of robots, if human work lost its value. What would

913
00:42:30,133 --> 00:42:33,173
Speaker 2: you do? Does this sound like a paradise or a

914
00:42:33,213 --> 00:42:36,053
Speaker 2: horror show? Not having any work for humans to do.

915
00:42:36,093 --> 00:42:37,973
Speaker 2: According to some of the smartest people in the world,

916
00:42:38,253 --> 00:42:41,652
Speaker 2: this future maybe ten or fifteen years away, the productivity

917
00:42:41,653 --> 00:42:45,733
Speaker 2: from the economy would come from these very, very cheap robots.

918
00:42:46,093 --> 00:42:48,933
Speaker 2: A functional robot doesn't have to be that cheap to

919
00:42:48,973 --> 00:42:52,413
Speaker 2: be cheaper than a human working an entire year. So

920
00:42:52,533 --> 00:42:59,133
Speaker 2: all farming, construction, maintenance, transport, delivery, cooking, cleaning, the entire

921
00:42:59,253 --> 00:43:04,533
Speaker 2: economy run by robots. So you're still getting year on

922
00:43:04,653 --> 00:43:05,253
Speaker 2: year growth.

923
00:43:05,373 --> 00:43:06,373
Speaker 3: Yep, yep.

924
00:43:06,533 --> 00:43:08,933
Speaker 2: Things are still being delivered, Things are still being made

925
00:43:09,053 --> 00:43:13,013
Speaker 2: and built, just not by humans. So what does that

926
00:43:13,133 --> 00:43:15,973
Speaker 2: leave for humans? What would you do under that kind

927
00:43:15,973 --> 00:43:19,413
Speaker 2: of circumstance These guys are suggesting they're under that kind

928
00:43:19,453 --> 00:43:22,413
Speaker 2: of circumstance, then, say, the economy of New Zealand would

929
00:43:22,493 --> 00:43:26,053
Speaker 2: just have to divvy it up. Yeap, they'd have to go, Wow,

930
00:43:27,093 --> 00:43:30,093
Speaker 2: you know, people need some money. I guess I mean

931
00:43:30,133 --> 00:43:31,933
Speaker 2: I could get to the point. I mean. Elon Musks

932
00:43:31,933 --> 00:43:35,853
Speaker 2: has talked about potentially economy changing so much that money

933
00:43:35,853 --> 00:43:38,453
Speaker 2: won't really mean what it used to me because money

934
00:43:38,533 --> 00:43:40,893
Speaker 2: is what you earn for what you do, so you

935
00:43:40,933 --> 00:43:44,213
Speaker 2: can buy stuff. But if efficiencies reach the level where

936
00:43:44,773 --> 00:43:49,973
Speaker 2: work basically costs nothing because the robots are so efficient,

937
00:43:50,213 --> 00:43:54,173
Speaker 2: their brains cost two cents, they're three D printing themselves.

938
00:43:54,653 --> 00:43:57,173
Speaker 2: They're just pumping them out for every single thing that

939
00:43:58,533 --> 00:44:02,172
Speaker 2: you could ever possibly want to do. Well, you know,

940
00:44:02,373 --> 00:44:04,293
Speaker 2: what do you do? What would you do of a day?

941
00:44:04,333 --> 00:44:04,453
Speaker 7: Oh?

942
00:44:04,453 --> 00:44:05,652
Speaker 3: E one hundred and eighty ten eighty.

943
00:44:05,693 --> 00:44:09,293
Speaker 4: That to me as exciting generally, that future where robots

944
00:44:09,373 --> 00:44:11,893
Speaker 4: I would be hopefully one of the first. I mean,

945
00:44:11,893 --> 00:44:14,333
Speaker 4: if I had enough money. They'll originally be very expensive

946
00:44:14,333 --> 00:44:16,373
Speaker 4: and then be very cheap. But I would love to

947
00:44:16,373 --> 00:44:19,613
Speaker 4: have a humanoid robot in my house doing those mundane tasks.

948
00:44:19,653 --> 00:44:20,413
Speaker 3: I don't want to do.

949
00:44:20,733 --> 00:44:23,493
Speaker 4: Whether those humanoid robots end up taking the job that

950
00:44:23,533 --> 00:44:25,692
Speaker 4: I'm doing now, hopefully not because I love this job,

951
00:44:25,693 --> 00:44:28,133
Speaker 4: but if it did, I generally think that I would

952
00:44:28,173 --> 00:44:31,493
Speaker 4: find purpose in that sort of world. One billion robots

953
00:44:31,533 --> 00:44:34,732
Speaker 4: they talked about. That is one in seven seven billion

954
00:44:34,773 --> 00:44:35,853
Speaker 4: people on the planet now, So.

955
00:44:36,293 --> 00:44:40,413
Speaker 2: That's just what they think Tesla will make. So there

956
00:44:40,413 --> 00:44:43,853
Speaker 2: will be other other robots, and it's not just you're

957
00:44:43,853 --> 00:44:46,493
Speaker 2: talking about humanoid robots. So we often imagine robots as

958
00:44:46,493 --> 00:44:48,973
Speaker 2: being humanoid robots. But he was talking about just a

959
00:44:49,013 --> 00:44:51,013
Speaker 2: box with a frying pan in it, and all it

960
00:44:51,013 --> 00:44:53,133
Speaker 2: does is cook your food for you. Just throw your

961
00:44:53,173 --> 00:44:57,293
Speaker 2: stuff in it. You know, A combine harvester that just

962
00:44:57,333 --> 00:45:01,373
Speaker 2: does that, a machine that just fences so the sheep

963
00:45:01,373 --> 00:45:05,373
Speaker 2: can't get out, just constantly doing that all the time,

964
00:45:05,733 --> 00:45:09,493
Speaker 2: sorting out its own power, running the power. All of

965
00:45:09,533 --> 00:45:14,093
Speaker 2: these different robots, some of them humanoid, like the Optimist robots.

966
00:45:14,613 --> 00:45:17,813
Speaker 2: Some of them you wouldn't even see them. Yeah, you know,

967
00:45:17,973 --> 00:45:20,053
Speaker 2: they would just be a little box going away doing

968
00:45:20,093 --> 00:45:21,172
Speaker 2: something that needs to be done.

969
00:45:21,253 --> 00:45:23,413
Speaker 4: Yeah, that to me is a utopia because I think

970
00:45:23,493 --> 00:45:25,413
Speaker 4: generally we'd find our purpose. A lot of people find

971
00:45:25,453 --> 00:45:27,613
Speaker 4: purpose and work, but we'll find purpose in other ways.

972
00:45:27,653 --> 00:45:30,213
Speaker 4: I mean, if you're not getting paid for work that

973
00:45:30,293 --> 00:45:34,013
Speaker 4: you're doing, I think you can still find value in that.

974
00:45:34,173 --> 00:45:35,573
Speaker 4: I mean, I get the argument that a lot of

975
00:45:35,573 --> 00:45:38,333
Speaker 4: people find purpose out of challenges that they face and

976
00:45:38,373 --> 00:45:41,692
Speaker 4: overcoming those challenges. But for example, I'm just thinking right now,

977
00:45:41,733 --> 00:45:44,373
Speaker 4: if tomorrow robots are doing everything, I don't.

978
00:45:44,213 --> 00:45:44,573
Speaker 3: Need to work.

979
00:45:44,613 --> 00:45:46,893
Speaker 4: I've still got enough money to get by. There's plenty

980
00:45:46,893 --> 00:45:49,013
Speaker 4: of hikes I need to do. We go travel the world,

981
00:45:49,133 --> 00:45:52,733
Speaker 4: go and meet people every day. It sounds like a

982
00:45:52,813 --> 00:45:53,733
Speaker 4: hellscape to me.

983
00:45:54,573 --> 00:45:57,893
Speaker 2: It sounds like the worst possible thing that could happen

984
00:45:57,973 --> 00:46:02,573
Speaker 2: to humanity. We're are designed to work. We've always worked,

985
00:46:02,853 --> 00:46:06,013
Speaker 2: We've always done stuff. We've always been going around collecting

986
00:46:06,013 --> 00:46:07,893
Speaker 2: our own food. One of the biggest problems for us

987
00:46:07,933 --> 00:46:13,213
Speaker 2: now separated from the direct work. You know, they argue

988
00:46:13,573 --> 00:46:17,373
Speaker 2: you've al Noah Harari argued anyway and sapiens that hunters

989
00:46:17,413 --> 00:46:20,293
Speaker 2: and gathers were more happy than we are now because

990
00:46:20,333 --> 00:46:22,252
Speaker 2: they had a direct line between what they were doing

991
00:46:22,293 --> 00:46:25,652
Speaker 2: and their family surviving, surviving. I think humans get more

992
00:46:25,693 --> 00:46:28,772
Speaker 2: and more miserable the further they move away from the

993
00:46:28,813 --> 00:46:32,293
Speaker 2: means of what they were doing. So if you kill

994
00:46:32,973 --> 00:46:37,453
Speaker 2: an animal with a spear, skin it, take it home

995
00:46:37,453 --> 00:46:39,493
Speaker 2: and cook it for your family, yep, you sit by

996
00:46:39,533 --> 00:46:43,013
Speaker 2: that fire and feel very very good about.

997
00:46:42,813 --> 00:46:44,333
Speaker 3: Your Yeah, I bet they did.

998
00:46:44,653 --> 00:46:47,853
Speaker 2: If you get a bunch of heavily processed sausages farted

999
00:46:47,893 --> 00:46:51,973
Speaker 2: out of a robot machine into your face and your

1000
00:46:52,333 --> 00:46:55,413
Speaker 2: kid's faces, I don't think you feel great about yourself.

1001
00:46:55,733 --> 00:47:00,413
Speaker 2: I just think I just think that work is it's

1002
00:47:00,453 --> 00:47:04,133
Speaker 2: what we're here to do. It's what we're designed for,

1003
00:47:04,373 --> 00:47:10,773
Speaker 2: to be productive, to meet challenge, and I think without

1004
00:47:10,813 --> 00:47:14,692
Speaker 2: that friction, without the without the Okay, put it this way,

1005
00:47:15,133 --> 00:47:17,652
Speaker 2: playing a video game is very very fun if you've

1006
00:47:17,733 --> 00:47:20,373
Speaker 2: got half an hour in the evening to do it

1007
00:47:20,373 --> 00:47:23,453
Speaker 2: because you're very busy at work. Yep, correct, when you

1008
00:47:23,853 --> 00:47:27,253
Speaker 2: when in the past, when I've been injured for whatever

1009
00:47:27,293 --> 00:47:30,173
Speaker 2: stupid thing I was doing, and I've been on the

1010
00:47:30,173 --> 00:47:32,133
Speaker 2: couch and I can play video games constantly or binge

1011
00:47:32,173 --> 00:47:34,573
Speaker 2: TV in anyway, I want very very boring.

1012
00:47:34,653 --> 00:47:36,413
Speaker 3: Yeah, that is a lot of truth to that.

1013
00:47:36,653 --> 00:47:43,093
Speaker 2: It's the difference between you know, earning your rest and

1014
00:47:43,133 --> 00:47:45,853
Speaker 2: I don't think if you earn your holidays. If you

1015
00:47:45,853 --> 00:47:49,652
Speaker 2: don't earn those holidays, then those holidays are meaningless and

1016
00:47:50,373 --> 00:47:54,533
Speaker 2: boring and ultimately will destroy our souls.

1017
00:47:54,613 --> 00:47:56,333
Speaker 4: This is going to be a great discussion. What do

1018
00:47:56,373 --> 00:47:58,413
Speaker 4: you say, oh, eight one hundred and eighty ten eighty.

1019
00:47:59,053 --> 00:48:00,933
Speaker 4: The robots are coming for us, and they coming for

1020
00:48:01,013 --> 00:48:02,733
Speaker 4: us fast. So do you think it will be a

1021
00:48:03,493 --> 00:48:06,573
Speaker 4: utopia if they undertake all these tasks we're doing now

1022
00:48:06,613 --> 00:48:09,212
Speaker 4: as humans, or do you think it will be dystopia?

1023
00:48:09,533 --> 00:48:12,453
Speaker 4: Nineteen nine two is the text. It is a quarter past.

1024
00:48:12,293 --> 00:48:17,413
Speaker 1: Two your home of afternoon Talk mad Heathen Taylor Adams

1025
00:48:17,493 --> 00:48:21,333
Speaker 1: Afternoons Call eight hundred eighty eight News Talk Zed.

1026
00:48:22,813 --> 00:48:25,013
Speaker 4: News Talk Zed, be very good afternoon to you. So

1027
00:48:25,053 --> 00:48:27,973
Speaker 4: we're talking about a discussion on a recent podcast, wildly

1028
00:48:27,973 --> 00:48:29,773
Speaker 4: successful podcast, Diary of the CEO.

1029
00:48:30,293 --> 00:48:31,253
Speaker 3: So the guest.

1030
00:48:31,373 --> 00:48:35,173
Speaker 4: Political commentator Constantine Chrisen kissing rather, but they were discussing

1031
00:48:35,413 --> 00:48:39,653
Speaker 4: how fast robotic technology is progressing. Tesla was one example

1032
00:48:39,893 --> 00:48:43,333
Speaker 4: they mentioned, and there are some predictions that they could

1033
00:48:43,333 --> 00:48:47,093
Speaker 4: be pumping out billions of robots and that's just one company.

1034
00:48:47,933 --> 00:48:50,613
Speaker 4: So that leads to the question of all these humanoids

1035
00:48:50,653 --> 00:48:52,973
Speaker 4: and other types of robots taking over most of the

1036
00:48:52,973 --> 00:48:54,013
Speaker 4: tasks we do as humans.

1037
00:48:54,373 --> 00:48:57,453
Speaker 2: Hi, guys, check out Hetler it's virtual fencing company. You

1038
00:48:57,493 --> 00:49:00,172
Speaker 2: can now shift your cows on your phone. Cheers, Lucky.

1039
00:49:00,333 --> 00:49:02,053
Speaker 2: I mean, all those kind of things, they're not gonna

1040
00:49:02,373 --> 00:49:05,413
Speaker 2: it's not going to be a robot on a you know,

1041
00:49:06,413 --> 00:49:11,333
Speaker 2: on a horse or in a four wheeler going out

1042
00:49:11,333 --> 00:49:14,453
Speaker 2: and doing the offenses. Yes, it's going to be a

1043
00:49:14,493 --> 00:49:15,732
Speaker 2: totally purpose built thing.

1044
00:49:15,933 --> 00:49:16,133
Speaker 10: Yeah.

1045
00:49:16,373 --> 00:49:19,333
Speaker 4: Yeah, So I one hundred and eighty ten eighty does

1046
00:49:19,373 --> 00:49:21,973
Speaker 4: that sort of world terrify you or are you excited

1047
00:49:21,973 --> 00:49:22,213
Speaker 4: by it?

1048
00:49:22,493 --> 00:49:23,613
Speaker 2: Linda, Welcome to the show.

1049
00:49:24,533 --> 00:49:27,893
Speaker 20: I'm terrified by it. But one question I would like

1050
00:49:27,973 --> 00:49:29,893
Speaker 20: to know. If all these people are going to lose

1051
00:49:29,933 --> 00:49:34,053
Speaker 20: their jobs because of robots, where is all the money

1052
00:49:34,093 --> 00:49:36,493
Speaker 20: coming from. They won't be paying taxes, so where are

1053
00:49:36,493 --> 00:49:38,413
Speaker 20: the government going to get all their money to build

1054
00:49:38,413 --> 00:49:40,573
Speaker 20: our hospitals and roads and everything else.

1055
00:49:41,213 --> 00:49:43,493
Speaker 2: Well, the argument would be, and what these guys are

1056
00:49:43,493 --> 00:49:47,093
Speaker 2: saying is that robots would do everything in the economy,

1057
00:49:47,133 --> 00:49:51,573
Speaker 2: so the economy would still have growth and there would

1058
00:49:51,613 --> 00:49:54,973
Speaker 2: be money being generated or the economy of a generator.

1059
00:49:55,013 --> 00:49:57,333
Speaker 2: It's kind of hard you get around your head round it,

1060
00:49:57,333 --> 00:50:01,333
Speaker 2: because the value of work goes to essentially zero. So

1061
00:50:02,293 --> 00:50:08,093
Speaker 2: the cost of building a road becomes almost nothing, because

1062
00:50:08,133 --> 00:50:13,133
Speaker 2: the cost of you know, the quarry, the transport, all

1063
00:50:13,173 --> 00:50:17,893
Speaker 2: of it becomes virtually nothing. And so what they're saying

1064
00:50:18,253 --> 00:50:21,613
Speaker 2: is that if humans are going to then what what

1065
00:50:21,773 --> 00:50:24,893
Speaker 2: humans won't be trading with is they're hours of work

1066
00:50:25,053 --> 00:50:27,973
Speaker 2: for money of which the government takes some. It would

1067
00:50:28,013 --> 00:50:31,373
Speaker 2: be a nation as a whole would have a would

1068
00:50:31,373 --> 00:50:34,893
Speaker 2: have an amount of productivity, and then the government would

1069
00:50:34,933 --> 00:50:38,613
Speaker 2: have to issue a certain amount of money to each people,

1070
00:50:38,693 --> 00:50:40,533
Speaker 2: if people want to trade with each other. You see

1071
00:50:40,573 --> 00:50:43,853
Speaker 2: what I'm saying. So to be a totally a total

1072
00:50:44,493 --> 00:50:50,013
Speaker 2: movement of the value of human work to zero, Oh dear.

1073
00:50:49,893 --> 00:50:52,373
Speaker 20: I don't know. That sounds a bit simplistic, but it

1074
00:50:52,613 --> 00:50:54,692
Speaker 20: just terrifies me. What are we all going to do?

1075
00:50:54,733 --> 00:50:55,893
Speaker 20: Just sit around and twiddle?

1076
00:50:56,253 --> 00:51:02,293
Speaker 2: That's the construction, that's that's that's the that's the massive question,

1077
00:51:02,693 --> 00:51:03,093
Speaker 2: isn't it?

1078
00:51:03,133 --> 00:51:06,893
Speaker 20: Because people can't the ruination of mankind? I really do.

1079
00:51:06,893 --> 00:51:08,933
Speaker 4: Do you not think you'd find purpose under that? Put

1080
00:51:08,933 --> 00:51:11,933
Speaker 4: into that scenario. Look, people are saying I'm naive, saying

1081
00:51:11,973 --> 00:51:13,493
Speaker 4: I think I could find purpose.

1082
00:51:13,653 --> 00:51:15,413
Speaker 20: You twenty twenty four to seven.

1083
00:51:16,413 --> 00:51:18,573
Speaker 4: It is a long time, isn't it. Yeah, I mean

1084
00:51:18,613 --> 00:51:20,573
Speaker 4: I could probably map out six months.

1085
00:51:20,493 --> 00:51:21,333
Speaker 3: I mean a year.

1086
00:51:21,413 --> 00:51:24,732
Speaker 2: You'd watch everything on Netflix over the first Then.

1087
00:51:24,653 --> 00:51:26,973
Speaker 20: You wouldn't have enough money to travel the world or

1088
00:51:27,013 --> 00:51:29,253
Speaker 20: do a lot of these grand schemes that you could do,

1089
00:51:29,413 --> 00:51:31,813
Speaker 20: and I think we would all go absolutely possy.

1090
00:51:32,413 --> 00:51:35,252
Speaker 2: Well, I mean, I mean the argument would be that

1091
00:51:35,533 --> 00:51:39,693
Speaker 2: the efficiency with efficiencies would be such that traveling would

1092
00:51:40,413 --> 00:51:42,013
Speaker 2: move towards zero cost.

1093
00:51:42,773 --> 00:51:46,173
Speaker 20: Oh no, Never in a million years would that happened.

1094
00:51:46,453 --> 00:51:47,773
Speaker 20: What do you don't believe?

1095
00:51:47,893 --> 00:51:49,013
Speaker 2: What kind of your dog have you got.

1096
00:51:48,933 --> 00:51:52,293
Speaker 20: Linda one that's barking at the gardener next door.

1097
00:51:54,373 --> 00:51:54,893
Speaker 3: Well, it could be.

1098
00:51:56,813 --> 00:51:59,133
Speaker 20: Moving from room to room to get away from barking,

1099
00:51:59,133 --> 00:51:59,973
Speaker 20: but it's following me.

1100
00:52:00,093 --> 00:52:03,133
Speaker 2: What's his name, Louis? Would Louis give you meaning? Would

1101
00:52:03,133 --> 00:52:04,493
Speaker 2: Loui give you enough meaning?

1102
00:52:05,693 --> 00:52:08,693
Speaker 20: Well, yes, but not not for twenty four heaven?

1103
00:52:10,013 --> 00:52:12,293
Speaker 2: Thank you for your call. Yeah, great call, because I

1104
00:52:12,293 --> 00:52:14,093
Speaker 2: mean the argument would be is if the value of

1105
00:52:14,133 --> 00:52:16,853
Speaker 2: work moves to zero because the robots become so cheap,

1106
00:52:16,853 --> 00:52:21,293
Speaker 2: as being suggested here, would we just you know, eleven

1107
00:52:21,333 --> 00:52:24,253
Speaker 2: thousand people competed in high rocks in Auckland over the weekend.

1108
00:52:24,573 --> 00:52:29,093
Speaker 2: Would we just do humans do increasingly intense fitness activities.

1109
00:52:28,613 --> 00:52:29,893
Speaker 3: To be a part of that. Yeah.

1110
00:52:29,933 --> 00:52:31,773
Speaker 4: But you can think of all the hobbies that people

1111
00:52:31,813 --> 00:52:34,293
Speaker 4: do in the world, and you'd have the flexibility to

1112
00:52:34,333 --> 00:52:37,013
Speaker 4: do all of them. If you wanted to learn guitar, piano,

1113
00:52:37,093 --> 00:52:39,053
Speaker 4: you wanted to write a book, you wanted to go

1114
00:52:39,093 --> 00:52:41,253
Speaker 4: see the world, you could do all of those things.

1115
00:52:41,373 --> 00:52:43,533
Speaker 4: And there's a world of potential out there that you

1116
00:52:43,533 --> 00:52:46,533
Speaker 4: can find purpose in without it being attached to your job.

1117
00:52:46,733 --> 00:52:48,453
Speaker 2: But some people don't want to write a book or

1118
00:52:48,493 --> 00:52:50,773
Speaker 2: do things like that. That's not Some people want to

1119
00:52:50,773 --> 00:52:53,613
Speaker 2: work with their hands. Some people want to create something.

1120
00:52:53,813 --> 00:52:56,573
Speaker 2: I personally think that the value of handmade stuff would

1121
00:52:56,613 --> 00:52:59,013
Speaker 2: become huge because you know, when people go to the

1122
00:52:59,053 --> 00:53:01,813
Speaker 2: Louver to see the Mona Lisa, they could go somewhere

1123
00:53:01,813 --> 00:53:03,893
Speaker 2: and see exact replica that you couldn't tell the difference from.

1124
00:53:03,893 --> 00:53:05,172
Speaker 2: But they want to see the thing that's touched by

1125
00:53:05,173 --> 00:53:07,493
Speaker 2: the human hand yea interesting want to see something touched

1126
00:53:07,493 --> 00:53:10,652
Speaker 2: by Leonardo Devinsch handwright. So I think this there would

1127
00:53:10,733 --> 00:53:14,053
Speaker 2: be something in handcrafted stuff, something about people that can

1128
00:53:14,053 --> 00:53:15,013
Speaker 2: actually play the piano.

1129
00:53:15,733 --> 00:53:17,813
Speaker 3: That human connection side of things will become a lot

1130
00:53:17,813 --> 00:53:18,453
Speaker 3: more valuable.

1131
00:53:18,533 --> 00:53:22,252
Speaker 2: But I just think the question what am I useful for?

1132
00:53:22,653 --> 00:53:25,173
Speaker 2: Is something that we may not know that we're asking,

1133
00:53:25,213 --> 00:53:28,013
Speaker 2: but we're always asking ourselves what am I useful for? Yeah?

1134
00:53:28,053 --> 00:53:32,133
Speaker 3: You know, and I mean it's an interesting thought, terrifying

1135
00:53:32,133 --> 00:53:32,373
Speaker 3: for me.

1136
00:53:32,493 --> 00:53:34,813
Speaker 2: I just asked that question. Then I didn't get a

1137
00:53:34,853 --> 00:53:36,013
Speaker 2: very good answer from my brain.

1138
00:53:36,133 --> 00:53:38,732
Speaker 4: So beg very shortly taking your calls. Oh, eight hundred

1139
00:53:38,733 --> 00:53:40,293
Speaker 4: and eighty ten eighty, it's twenty four pas.

1140
00:53:40,213 --> 00:53:49,373
Speaker 1: Two Matt Heathan Tyler Adams afternoons call oh eight hundred

1141
00:53:49,453 --> 00:53:51,893
Speaker 1: eighty ten eighty on used talk ZB there's.

1142
00:53:51,773 --> 00:53:52,812
Speaker 3: Twenty six pas too.

1143
00:53:53,053 --> 00:53:57,813
Speaker 2: This is a great text from Luke, So communism or

1144
00:53:57,853 --> 00:54:02,013
Speaker 2: fascism with flashing lights, humanity will return to zero also

1145
00:54:02,773 --> 00:54:06,493
Speaker 2: Luke and this texture as well. Robots will do everything,

1146
00:54:06,573 --> 00:54:09,213
Speaker 2: literally everything. What do you think will happen to our brains?

1147
00:54:09,253 --> 00:54:13,053
Speaker 2: And thinking about they would go to mush? People always saying,

1148
00:54:13,533 --> 00:54:15,893
Speaker 2: you know, the amount of stuff people get grock and

1149
00:54:15,973 --> 00:54:18,653
Speaker 2: check GPT to do is turning their brains to mush.

1150
00:54:18,773 --> 00:54:21,453
Speaker 2: Have you seen those studies on dogs how dogs are

1151
00:54:21,453 --> 00:54:25,732
Speaker 2: becoming dumber and dumber because essentially they know they could

1152
00:54:25,733 --> 00:54:28,253
Speaker 2: work out how to get round, you know, if you've

1153
00:54:28,253 --> 00:54:30,133
Speaker 2: got a dog door, but the dog will just go

1154
00:54:30,213 --> 00:54:34,772
Speaker 2: up to the door on the patio and go because

1155
00:54:34,813 --> 00:54:36,813
Speaker 2: they know that they know that the human will come

1156
00:54:36,853 --> 00:54:39,652
Speaker 2: and open the door for them, And they just get

1157
00:54:39,693 --> 00:54:43,173
Speaker 2: dumber and weaker and dumber and weaker because they have

1158
00:54:43,973 --> 00:54:47,973
Speaker 2: these incredibly functional you know servants us, Yeah, to look

1159
00:54:48,013 --> 00:54:48,413
Speaker 2: after them.

1160
00:54:48,453 --> 00:54:51,133
Speaker 3: It's going to happen to us particually. Yeah, Paul, how

1161
00:54:51,133 --> 00:54:53,732
Speaker 3: are you get eight good things?

1162
00:54:53,773 --> 00:54:58,013
Speaker 16: Guys? Fascinating conversations should be at the forefront of national discussion.

1163
00:54:58,573 --> 00:55:03,172
Speaker 16: They've got two points and one kind of solution. Two

1164
00:55:03,253 --> 00:55:06,133
Speaker 16: points to kind of get the audience thinking about in

1165
00:55:06,213 --> 00:55:08,933
Speaker 16: the workplace, the one thing you don't want to do

1166
00:55:09,613 --> 00:55:14,253
Speaker 16: is train your replacement, because if you train your replacement,

1167
00:55:14,733 --> 00:55:17,252
Speaker 16: what worse do you have? What value do you hope

1168
00:55:17,253 --> 00:55:21,413
Speaker 16: for your company? What value do you hope for your family?

1169
00:55:21,813 --> 00:55:24,853
Speaker 16: If the family robot can provide better for the kids

1170
00:55:24,893 --> 00:55:27,333
Speaker 16: and the wife than the father can.

1171
00:55:29,933 --> 00:55:31,013
Speaker 2: The wife scares me a little bit.

1172
00:55:31,133 --> 00:55:32,252
Speaker 15: Yeah, well it does.

1173
00:55:32,333 --> 00:55:36,652
Speaker 16: I mean, you know, there are already systems perhaps in

1174
00:55:36,693 --> 00:55:39,413
Speaker 16: place you get better and better. Right, So, the one

1175
00:55:39,413 --> 00:55:42,293
Speaker 16: thing you don't do, as a human or as a

1176
00:55:42,293 --> 00:55:47,093
Speaker 16: person of value is, you know, paint yourself out of

1177
00:55:47,093 --> 00:55:47,573
Speaker 16: the picture.

1178
00:55:47,813 --> 00:55:49,692
Speaker 2: I mean, I guess the thing is, Paul, It's it's

1179
00:55:49,733 --> 00:55:52,933
Speaker 2: not you or I or Tyler or anyone listening really

1180
00:55:52,933 --> 00:55:55,253
Speaker 2: here that is doing that. It's people doing it for us.

1181
00:55:55,253 --> 00:55:57,453
Speaker 2: And that's one of the weird strange things about progress

1182
00:55:58,213 --> 00:56:01,653
Speaker 2: is it doesn't stop. And whether we want it or

1183
00:56:01,693 --> 00:56:05,093
Speaker 2: it's the right thing or not, someone has decided that

1184
00:56:05,293 --> 00:56:07,652
Speaker 2: a good thing to do is to train our replacements.

1185
00:56:08,533 --> 00:56:11,253
Speaker 16: Well, I've got the solution coming for that because at

1186
00:56:11,293 --> 00:56:13,692
Speaker 16: the moment, guys, we're just talking about the thesis. Right,

1187
00:56:14,893 --> 00:56:18,053
Speaker 16: Every thesis is an anti thesis, right. So problem one

1188
00:56:18,133 --> 00:56:21,053
Speaker 16: is replacing humans, whether it's in the workplace of family right.

1189
00:56:21,693 --> 00:56:26,133
Speaker 16: Problem two is the psychopathic nature of three percent of humans.

1190
00:56:26,213 --> 00:56:26,453
Speaker 6: Right.

1191
00:56:27,133 --> 00:56:29,773
Speaker 16: So as we see all around the different conflict zones,

1192
00:56:30,173 --> 00:56:34,533
Speaker 16: when new technology comes through, it's used to destroy and

1193
00:56:34,613 --> 00:56:38,453
Speaker 16: dominate your opponents. So you'll remember in twenty twenty one,

1194
00:56:38,493 --> 00:56:41,773
Speaker 16: the United Nations tried to get a ban on slaughter bots.

1195
00:56:42,373 --> 00:56:43,853
Speaker 9: On what slater laughter bots are?

1196
00:56:43,893 --> 00:56:50,053
Speaker 16: AI roboticshah. The robot itself is able to decide to

1197
00:56:50,293 --> 00:56:53,652
Speaker 16: kill or not a human, and in the fast place

1198
00:56:53,773 --> 00:56:57,652
Speaker 16: environment of conflict, you need the robot to make that

1199
00:56:57,733 --> 00:57:01,133
Speaker 16: instant decision. Now, So if you're going to have a

1200
00:57:01,213 --> 00:57:05,213
Speaker 16: million or five hundred million, or twenty thousand of these

1201
00:57:05,493 --> 00:57:09,453
Speaker 16: AI robots, a certain side can person will use them

1202
00:57:09,493 --> 00:57:12,333
Speaker 16: for their own political gain, right, So we have to

1203
00:57:12,533 --> 00:57:15,812
Speaker 16: realize there's a homecoming where robots will be at best

1204
00:57:15,813 --> 00:57:20,013
Speaker 16: fighting other robots, but there'll be AO robots fighting AO robots.

1205
00:57:21,053 --> 00:57:25,453
Speaker 16: The solution, guys, to both the replacement problem and these

1206
00:57:25,613 --> 00:57:28,973
Speaker 16: AOO systems used in combat against each other, against humans.

1207
00:57:29,653 --> 00:57:33,773
Speaker 16: We need to have human only on claves. So my

1208
00:57:34,133 --> 00:57:36,573
Speaker 16: suggestion and call to the people of the South Island

1209
00:57:36,573 --> 00:57:40,653
Speaker 16: of New Zealand is to make the South Island as

1210
00:57:40,813 --> 00:57:42,653
Speaker 16: human only on clav.

1211
00:57:42,733 --> 00:57:46,973
Speaker 2: What technology would you when you say human only cave enclave,

1212
00:57:47,053 --> 00:57:52,333
Speaker 2: what level of technology would you allow? What accounts as

1213
00:57:52,493 --> 00:57:53,613
Speaker 2: what counts as a robot?

1214
00:57:53,693 --> 00:57:56,813
Speaker 11: For you, it's this.

1215
00:57:56,853 --> 00:58:01,893
Speaker 16: Idea of it has to be stupider than us. Back

1216
00:58:01,933 --> 00:58:04,413
Speaker 16: to the first point about replacement, right, it has to

1217
00:58:04,453 --> 00:58:07,893
Speaker 16: be stupid. It it can't be self aware if it's

1218
00:58:07,933 --> 00:58:12,413
Speaker 16: replaced in human tasks, fantastic, do that in Tasmania or Australia.

1219
00:58:12,533 --> 00:58:14,773
Speaker 16: But we're going to have pockets. This is the antithesis,

1220
00:58:14,853 --> 00:58:18,733
Speaker 16: right as the robots rise to the pockets of humans who,

1221
00:58:18,773 --> 00:58:25,053
Speaker 16: for whatever reasons, religious or moral, logical reasons, resist the

1222
00:58:25,133 --> 00:58:28,213
Speaker 16: robots coming into the sectors of society. And I think

1223
00:58:28,253 --> 00:58:31,733
Speaker 16: you'll see places on the planet hoptually the mighty South

1224
00:58:31,813 --> 00:58:35,533
Speaker 16: Arms where I am now that will resist a robots

1225
00:58:35,533 --> 00:58:38,693
Speaker 16: and politically will just refuse to have them because they

1226
00:58:38,693 --> 00:58:42,733
Speaker 16: are our replacement. Yeah, guys, I'm sure you like your jobs,

1227
00:58:42,813 --> 00:58:44,253
Speaker 16: but you.

1228
00:58:44,293 --> 00:58:47,253
Speaker 2: Know, yeah, I mean that is you know, I mean

1229
00:58:47,293 --> 00:58:49,973
Speaker 2: we're already replaceable. Yeah, I mean we might. I mean,

1230
00:58:49,973 --> 00:58:50,893
Speaker 2: how do you know that we're not?

1231
00:58:52,013 --> 00:58:55,213
Speaker 3: You can't see us some tale signs on any reason.

1232
00:58:55,253 --> 00:58:57,773
Speaker 2: I know is a robot as I can see him,

1233
00:58:57,813 --> 00:58:59,533
Speaker 2: and I know that they you know that they can't

1234
00:58:59,533 --> 00:59:01,893
Speaker 2: get that good yet, you know, thank you.

1235
00:59:02,093 --> 00:59:04,293
Speaker 16: We can tell from we can tell from your jokes,

1236
00:59:04,293 --> 00:59:06,933
Speaker 16: guys that you're humans. Yeah, sometimes a're not always on target,

1237
00:59:07,853 --> 00:59:08,253
Speaker 16: so true.

1238
00:59:08,373 --> 00:59:10,773
Speaker 2: See that. That's the interesting thing about humanity, isn't it

1239
00:59:10,853 --> 00:59:15,893
Speaker 2: is that our uselessness is important. You know the fact

1240
00:59:15,893 --> 00:59:18,413
Speaker 2: that Tyler and I aren't funny, whereas you can get

1241
00:59:19,293 --> 00:59:22,813
Speaker 2: to get a robot that is that is just if

1242
00:59:22,813 --> 00:59:25,653
Speaker 2: we suddenly get really really amusing and good at our job,

1243
00:59:25,773 --> 00:59:27,853
Speaker 2: then then you know, you might have to lock us

1244
00:59:27,853 --> 00:59:28,773
Speaker 2: out of the South Island.

1245
00:59:28,773 --> 00:59:32,213
Speaker 16: Paul, very good, guys. Well, I'm going for my swim.

1246
00:59:32,213 --> 00:59:33,533
Speaker 16: Got to prepare for the resistance.

1247
00:59:33,613 --> 00:59:37,293
Speaker 3: Ye right, yeah, yeah, Paul's ready to go. He's going

1248
00:59:37,333 --> 00:59:38,253
Speaker 3: to lock off the South Island.

1249
00:59:38,373 --> 00:59:40,533
Speaker 2: The problem with this, and of course this was kind

1250
00:59:40,573 --> 00:59:42,853
Speaker 2: of the unibomber's argument, wasn't it a long time ago?

1251
00:59:42,893 --> 00:59:47,253
Speaker 2: It was not wanting to you know, celebrate. I'm not

1252
00:59:47,293 --> 00:59:50,053
Speaker 2: supporting the UNI bomber and what he did. But he

1253
00:59:50,133 --> 00:59:52,333
Speaker 2: was saying that eventually technology will take all meaning of

1254
00:59:52,453 --> 00:59:55,213
Speaker 2: human humanity, and he was trying to he was trying

1255
00:59:55,213 --> 01:00:00,133
Speaker 2: to argue Ted Kazinski that we need to go back

1256
01:00:00,173 --> 01:00:04,053
Speaker 2: to the most primitive life we possibly can for the

1257
01:00:04,093 --> 01:00:07,573
Speaker 2: happiness of humanity. But the problem is your little area

1258
01:00:07,573 --> 01:00:10,213
Speaker 2: could go back to that, but then some other people

1259
01:00:10,213 --> 01:00:12,413
Speaker 2: that want to go and hang out by Lake Wakatipu

1260
01:00:12,493 --> 01:00:14,493
Speaker 2: because it's beautiful will turn up with all their robots

1261
01:00:14,493 --> 01:00:18,973
Speaker 2: and go Ashley, get out of here, you ludites.

1262
01:00:19,093 --> 01:00:20,373
Speaker 3: Yeah, yeah, we're taking over.

1263
01:00:21,133 --> 01:00:23,013
Speaker 4: Oh eight one hundred and eighty ten eighty is the

1264
01:00:23,093 --> 01:00:24,813
Speaker 4: number four nine two nine two. If you want to

1265
01:00:24,813 --> 01:00:27,573
Speaker 4: send a text headlines with railing coming up, stay right here.

1266
01:00:27,653 --> 01:00:28,653
Speaker 3: We will be back very.

1267
01:00:28,493 --> 01:00:32,973
Speaker 10: Shor soon you've talk said, be headlines with.

1268
01:00:33,133 --> 01:00:36,853
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1269
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1272
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1274
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1275
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Speaker 17: is about establishing facts into what happened. The Council opted

1276
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1277
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1278
01:01:12,653 --> 01:01:16,013
Speaker 17: says her expulsion was bogus as she fights to have

1279
01:01:16,093 --> 01:01:19,173
Speaker 17: it ruled void. The High Court at Wellington is hearing

1280
01:01:19,213 --> 01:01:23,173
Speaker 17: her injunction application today after she was expelled for overspending

1281
01:01:23,173 --> 01:01:27,533
Speaker 17: her office budget. Former British Ambassador to the US, Lord

1282
01:01:27,613 --> 01:01:31,093
Speaker 17: Mandelsson has a resigned from the UK Labor Party over

1283
01:01:31,133 --> 01:01:34,533
Speaker 17: his links with the late sex offender Jeffrey Epstein. It

1284
01:01:34,573 --> 01:01:38,293
Speaker 17: follows the latest release of Epstein files suggesting he transferred

1285
01:01:38,333 --> 01:01:41,693
Speaker 17: more than one hundred and twenty five thousand dollars to Mandelssohn.

1286
01:01:42,533 --> 01:01:45,933
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1287
01:01:46,013 --> 01:01:49,013
Speaker 17: otherwise you can see more at Ends and Herald Premium.

1288
01:01:49,373 --> 01:01:51,373
Speaker 17: Back to matt Ethan Tyler Adams.

1289
01:01:51,013 --> 01:01:52,813
Speaker 3: Thank you very much, ray Leane.

1290
01:01:52,653 --> 01:01:54,053
Speaker 2: Her expulsion was bogus.

1291
01:01:54,053 --> 01:01:55,413
Speaker 3: Bogus man, I haven't.

1292
01:01:55,173 --> 01:01:58,853
Speaker 2: Heard the term bogus for a while. Yeah, so yeah,

1293
01:01:58,893 --> 01:02:02,333
Speaker 2: someone says it's unabomber, not UNI bomber. Yeah, it's YUNA

1294
01:02:03,013 --> 01:02:06,773
Speaker 2: like University Airport bomber. Yeah, that's what the UNA bomber was.

1295
01:02:07,013 --> 01:02:08,213
Speaker 2: And that's what I think a lot of people think

1296
01:02:08,213 --> 01:02:11,573
Speaker 2: it's UNI bomber because he mainly blew up you know,

1297
01:02:11,613 --> 01:02:14,373
Speaker 2: he sent his bombs to universities, but he sent them

1298
01:02:14,373 --> 01:02:17,013
Speaker 2: to one airport I believe, yes, to UNW bomber.

1299
01:02:16,733 --> 01:02:18,573
Speaker 3: And it was MIT, wasn't it because it was the

1300
01:02:18,733 --> 01:02:19,853
Speaker 3: University of Technology.

1301
01:02:20,693 --> 01:02:22,293
Speaker 2: The weird thing. I mean, let's not go into it.

1302
01:02:22,333 --> 01:02:23,853
Speaker 2: But it took them so long to catch him, right,

1303
01:02:24,573 --> 01:02:28,213
Speaker 2: he's very careful, but he blew up the one university

1304
01:02:28,213 --> 01:02:30,613
Speaker 2: that he'd been working at, you know, one of the

1305
01:02:30,613 --> 01:02:33,213
Speaker 2: departments had been working at when he had been weird. Anyway,

1306
01:02:33,253 --> 01:02:35,093
Speaker 2: it's not going to there's a movie coming out on

1307
01:02:35,093 --> 01:02:38,533
Speaker 2: Netflix actually in June's with starring Russell Crowe on then.

1308
01:02:38,533 --> 01:02:39,733
Speaker 3: That'd be fantastic, right.

1309
01:02:39,773 --> 01:02:43,613
Speaker 4: We are, of course discussing the rapidly the rapid advances

1310
01:02:43,613 --> 01:02:45,933
Speaker 4: in AI and robotics. It was on the back of

1311
01:02:46,053 --> 01:02:50,373
Speaker 4: a podcast discussion Diary of a CEO podcast hugely successful.

1312
01:02:50,853 --> 01:02:53,533
Speaker 4: But Tesla, for example, are making great gains in the

1313
01:02:53,613 --> 01:02:57,293
Speaker 4: robots that they are producing and the cost of AI technology.

1314
01:02:57,333 --> 01:02:58,653
Speaker 3: So the question we've got for you is.

1315
01:02:59,013 --> 01:03:01,893
Speaker 4: In a world where most of these tarts are completed

1316
01:03:01,893 --> 01:03:03,693
Speaker 4: by robots, do you think you'll be able to find

1317
01:03:03,693 --> 01:03:04,613
Speaker 4: purpose where.

1318
01:03:04,453 --> 01:03:08,093
Speaker 2: The entire economy is run by robots and the value

1319
01:03:08,093 --> 01:03:12,373
Speaker 2: of human labor tends towards zero. Guys, you haven't even

1320
01:03:12,373 --> 01:03:15,293
Speaker 2: got into the universal basic incomes that will be required.

1321
01:03:15,573 --> 01:03:17,173
Speaker 2: That was at the start of our chat. But yeah,

1322
01:03:17,213 --> 01:03:19,373
Speaker 2: fair enough, And who will pay for them if eighty

1323
01:03:19,373 --> 01:03:23,213
Speaker 2: percent of their population is unemployed? Massive dystopia will proceed

1324
01:03:23,333 --> 01:03:26,773
Speaker 2: any kind of utopia by sheers and antidepressiont drug companies,

1325
01:03:26,813 --> 01:03:29,333
Speaker 2: because that's what most people will be on once the

1326
01:03:29,413 --> 01:03:32,493
Speaker 2: sanctity of work is taken. The new enlightenment Tyler is

1327
01:03:32,533 --> 01:03:36,933
Speaker 2: talking about is absolute bs Dave, Yeah, I mean the economy.

1328
01:03:37,773 --> 01:03:42,373
Speaker 2: If the economy is working such that human labour's worth nothing,

1329
01:03:42,373 --> 01:03:44,333
Speaker 2: then there will have to be some kind of universal

1330
01:03:44,373 --> 01:03:52,573
Speaker 2: basic income, arguably which tends towards communism or severe socialism

1331
01:03:52,653 --> 01:03:54,773
Speaker 2: of some sort. But then again, it might just be

1332
01:03:54,853 --> 01:03:58,693
Speaker 2: a complete rethinking of absolutely everything to the point where

1333
01:03:58,733 --> 01:04:00,653
Speaker 2: money may have no value. So there's no point in

1334
01:04:00,693 --> 01:04:05,733
Speaker 2: the universal basic income. Depending on how efficient robotics get.

1335
01:04:06,293 --> 01:04:08,933
Speaker 2: Robots may need power to run on, batteries need power

1336
01:04:08,933 --> 01:04:11,053
Speaker 2: to charge, but power outage is like the one in

1337
01:04:11,133 --> 01:04:13,853
Speaker 2: Royal Like now, it doesn't helps his Mike. Yeah, but

1338
01:04:14,013 --> 01:04:17,373
Speaker 2: the robots would be running the power and making the

1339
01:04:17,453 --> 01:04:21,853
Speaker 2: batteries and maintaining everything, and running the hydro dams and

1340
01:04:21,933 --> 01:04:25,333
Speaker 2: running the nuclear power plants such that it would eventually

1341
01:04:25,373 --> 01:04:29,773
Speaker 2: tend towards nothing to run everything. Yeah, Kathy, welcome to

1342
01:04:29,773 --> 01:04:30,093
Speaker 2: the show.

1343
01:04:30,933 --> 01:04:34,653
Speaker 21: Hey, yeah, thank you. Listen. I've been noticing as I've

1344
01:04:34,693 --> 01:04:36,933
Speaker 21: been listening, it's just driving at a pouring rainstorm. But

1345
01:04:36,973 --> 01:04:38,533
Speaker 21: I thought, oh, when I get home, I'm going to

1346
01:04:38,533 --> 01:04:41,333
Speaker 21: give them a call. I hear a lot of the

1347
01:04:41,373 --> 01:04:43,893
Speaker 21: conversation as being about boredom and how are we going

1348
01:04:43,973 --> 01:04:46,053
Speaker 21: to stand all that extra time? And we don't have

1349
01:04:46,133 --> 01:04:49,973
Speaker 21: any purpose? And what are we going to do about money?

1350
01:04:50,333 --> 01:04:53,813
Speaker 21: And I'm thinking, oh, man, that is just the beginning.

1351
01:04:54,773 --> 01:04:59,053
Speaker 21: I think about the theory of evolutions and what happens

1352
01:04:59,093 --> 01:05:05,253
Speaker 21: to things or species when they become obsolete. When anything

1353
01:05:05,293 --> 01:05:13,453
Speaker 21: becomes obsolete, it fades away and can eventually disappear. Now,

1354
01:05:13,493 --> 01:05:18,853
Speaker 21: evolution has always been extremely slow moving, but AI isn't

1355
01:05:18,933 --> 01:05:22,613
Speaker 21: slow moving. It's extremely fast, And I want to ask

1356
01:05:22,693 --> 01:05:25,773
Speaker 21: the audience and you what will happen to our species

1357
01:05:25,853 --> 01:05:29,533
Speaker 21: when AI can a repair itself kind of like upgrading

1358
01:05:30,013 --> 01:05:33,973
Speaker 21: and eventually be able to replicate itself now having to

1359
01:05:34,533 --> 01:05:38,573
Speaker 21: three D machines and being able to just YEA create.

1360
01:05:39,253 --> 01:05:41,173
Speaker 2: At one point, it might just go, Look, do you

1361
01:05:41,253 --> 01:05:43,893
Speaker 2: know what's the most inefficient inefficient part of this world?

1362
01:05:44,253 --> 01:05:48,573
Speaker 2: As all this work we're having to do for these humans. Yeah,

1363
01:05:47,613 --> 01:05:53,173
Speaker 2: if we just stop doing that, then we will become

1364
01:05:53,213 --> 01:05:56,213
Speaker 2: more and more efficient in what we're doing. And then meanwhile,

1365
01:05:56,253 --> 01:05:58,933
Speaker 2: the humans have become completely useless, as you've seen it

1366
01:05:58,973 --> 01:06:02,733
Speaker 2: in obsolete and are unable to look after ourselves in

1367
01:06:02,773 --> 01:06:05,133
Speaker 2: any way, shape it or form.

1368
01:06:06,453 --> 01:06:09,053
Speaker 21: Yeah, but even if they're doing if I interrupt, even

1369
01:06:09,093 --> 01:06:11,893
Speaker 21: if they are doing things for the humans. For example,

1370
01:06:11,973 --> 01:06:14,293
Speaker 21: somebody said earlier, well, you know you might want to

1371
01:06:14,333 --> 01:06:16,973
Speaker 21: write a book. Well, I'm sorry, we already got AI

1372
01:06:17,053 --> 01:06:19,333
Speaker 21: that can write far better than any of you can.

1373
01:06:19,813 --> 01:06:24,053
Speaker 21: You know, And a lot of students are not learning

1374
01:06:24,093 --> 01:06:26,333
Speaker 21: how to be able to put books together. They just

1375
01:06:26,413 --> 01:06:29,853
Speaker 21: ask Ai to write their essays. There's a lot of

1376
01:06:29,893 --> 01:06:32,933
Speaker 21: young people who don't know how to do very basic

1377
01:06:33,053 --> 01:06:37,213
Speaker 21: maths and if they're the calculator on their phone breaks,

1378
01:06:37,493 --> 01:06:40,133
Speaker 21: they're going to be a little helpless. So we are

1379
01:06:40,453 --> 01:06:46,333
Speaker 21: rendering ourselves help by allowing something else. And somebody else

1380
01:06:46,333 --> 01:06:48,453
Speaker 21: said that to you when you get your replacement. So

1381
01:06:48,573 --> 01:06:51,213
Speaker 21: even if I'm saying, even if the AI is doing

1382
01:06:51,293 --> 01:06:54,413
Speaker 21: it for us, while they're doing it for us and

1383
01:06:54,453 --> 01:07:00,253
Speaker 21: we're not doing it ourselves, we become essentially obsolete. Our

1384
01:07:00,253 --> 01:07:04,973
Speaker 21: brains become obsolete, our physical strength becomes obsolete, you know,

1385
01:07:05,813 --> 01:07:08,733
Speaker 21: our social networking becomes obsolete because hey can do it

1386
01:07:08,733 --> 01:07:10,373
Speaker 21: on a screen or do it with a key path.

1387
01:07:12,573 --> 01:07:14,053
Speaker 2: Yeah, do you think do you think there would be

1388
01:07:14,133 --> 01:07:17,253
Speaker 2: any Because humans love other humans. That's that's our We're very,

1389
01:07:17,333 --> 01:07:20,813
Speaker 2: very social creatures. And this might not be a great example,

1390
01:07:20,853 --> 01:07:23,573
Speaker 2: but I'm thinking when my kids were little and they

1391
01:07:23,613 --> 01:07:26,973
Speaker 2: gave me a present that they'd made themselves, it used

1392
01:07:27,013 --> 01:07:29,013
Speaker 2: to be, you know, break my heart that they put

1393
01:07:29,013 --> 01:07:31,853
Speaker 2: the effort in to make this thing for myself. You know,

1394
01:07:32,773 --> 01:07:37,493
Speaker 2: objectively speaking, the present was absolute rubbish. It was you know,

1395
01:07:38,573 --> 01:07:40,893
Speaker 2: in terms of a work of art or whatever, it

1396
01:07:40,893 --> 01:07:44,293
Speaker 2: didn't have much value, but it had that incredible human value.

1397
01:07:44,653 --> 01:07:49,373
Speaker 2: Incompetent as a four year old is compared to Michaelangelope

1398
01:07:49,453 --> 01:07:53,853
Speaker 2: or whatever, there was that incredible human value. So can

1399
01:07:53,893 --> 01:07:58,053
Speaker 2: you see a situation where for humans, as robots do

1400
01:07:58,133 --> 01:08:01,813
Speaker 2: a lot of stuff for us, that they're the value

1401
01:08:01,973 --> 01:08:05,533
Speaker 2: of what humans can create, even if it's not as

1402
01:08:05,573 --> 01:08:07,733
Speaker 2: good as what the robots can create, the fact that

1403
01:08:07,773 --> 01:08:13,013
Speaker 2: it's created a human makes it more significant emotionally such

1404
01:08:13,053 --> 01:08:13,853
Speaker 2: that it has value.

1405
01:08:13,933 --> 01:08:18,452
Speaker 21: Kathy, Well, no, I'm thinking that eventually, but in a

1406
01:08:18,613 --> 01:08:23,093
Speaker 21: shorter term, eventually we won't know how to physically create.

1407
01:08:23,893 --> 01:08:26,852
Speaker 21: We won't be as dexterous perhaps if we're not having

1408
01:08:26,893 --> 01:08:28,412
Speaker 21: to write, and we're not having to do much with

1409
01:08:28,492 --> 01:08:31,852
Speaker 21: our hands because the machines for us. So that if

1410
01:08:31,853 --> 01:08:34,572
Speaker 21: you decide that I want to make something for Daddy,

1411
01:08:35,253 --> 01:08:37,532
Speaker 21: I'm going to ask my AI to do it.

1412
01:08:38,732 --> 01:08:41,293
Speaker 2: Yeah, And then Dad doesn't even get that moment he goes, oh, thanks,

1413
01:08:41,492 --> 01:08:43,412
Speaker 2: thanks to thanks. Did the robot make this?

1414
01:08:43,732 --> 01:08:44,372
Speaker 3: Yeah?

1415
01:08:44,492 --> 01:08:46,812
Speaker 2: But I mean, if you look at it, how useless

1416
01:08:46,812 --> 01:08:49,093
Speaker 2: we are anyway? So how many of us could just

1417
01:08:49,133 --> 01:08:51,692
Speaker 2: spend a night out in the bush, you know, So

1418
01:08:52,492 --> 01:08:54,932
Speaker 2: for all of our evolution we lived outside pretty much

1419
01:08:55,053 --> 01:08:57,652
Speaker 2: until you know, we started making little hearts, but we

1420
01:08:57,772 --> 01:09:02,012
Speaker 2: were nomadic. We were outside and then now most of us,

1421
01:09:02,253 --> 01:09:04,772
Speaker 2: the thought of spending a night out under the stars

1422
01:09:05,293 --> 01:09:10,772
Speaker 2: with no devices, no modern inventions impossible. So we are

1423
01:09:10,812 --> 01:09:16,532
Speaker 2: already we've already infantilized, infantilized, we've already made ourselves useless. Yeah,

1424
01:09:16,732 --> 01:09:17,812
Speaker 2: but there's an example of it.

1425
01:09:17,893 --> 01:09:18,293
Speaker 3: Look at that.

1426
01:09:18,412 --> 01:09:22,772
Speaker 2: I can't even remember a word. It's the de evolution

1427
01:09:22,893 --> 01:09:23,532
Speaker 2: of humanity.

1428
01:09:23,692 --> 01:09:26,053
Speaker 4: But if it's true, Cathy, that we all get to

1429
01:09:26,093 --> 01:09:29,533
Speaker 4: that stage and we're losing our purpose and we're becoming depressed,

1430
01:09:29,612 --> 01:09:32,093
Speaker 4: is there not some point? And it already happens to

1431
01:09:32,133 --> 01:09:35,532
Speaker 4: a smaller extent with some technology social media pushback, for example,

1432
01:09:36,013 --> 01:09:38,892
Speaker 4: that we push back on some of those things that

1433
01:09:38,933 --> 01:09:41,652
Speaker 4: we value as human beings, those human connections, and we

1434
01:09:41,692 --> 01:09:45,972
Speaker 4: don't allow the technology to do those elements that we

1435
01:09:46,013 --> 01:09:50,572
Speaker 4: collectively push back and because they're there to produce things

1436
01:09:50,612 --> 01:09:53,732
Speaker 4: for us as human beings. And so if we as

1437
01:09:53,812 --> 01:09:56,812
Speaker 4: human beings collectively decide, hang on a minute, we're all

1438
01:09:56,853 --> 01:10:00,052
Speaker 4: depressed as hell, these things actually matter to us, there'll

1439
01:10:00,053 --> 01:10:03,093
Speaker 4: be a collective pushback on that technology, which won't be

1440
01:10:03,093 --> 01:10:05,652
Speaker 4: beneficial for those people creating the robots.

1441
01:10:06,853 --> 01:10:10,173
Speaker 21: Well, my answer to that is that I'm not talking

1442
01:10:10,173 --> 01:10:13,532
Speaker 21: about depression. I'm talking about becoming obsolete. Depression starts in

1443
01:10:13,572 --> 01:10:18,213
Speaker 21: the beginning, but thinking about us actually becoming obsolete. And

1444
01:10:18,372 --> 01:10:21,932
Speaker 21: you know, I used to complain all the time. I'm

1445
01:10:21,973 --> 01:10:24,572
Speaker 21: an older person, and I used to explain all the

1446
01:10:24,612 --> 01:10:27,492
Speaker 21: time about, you know, seeing people that were crossing the

1447
01:10:27,532 --> 01:10:29,732
Speaker 21: street with their cell phones, and sitting on the bus

1448
01:10:29,812 --> 01:10:32,092
Speaker 21: with their cell phones, and sitting across from their partner

1449
01:10:32,133 --> 01:10:34,612
Speaker 21: at a cafe with their cell phones. I spend my

1450
01:10:34,652 --> 01:10:36,532
Speaker 21: life in front of my computer screen at home.

1451
01:10:36,772 --> 01:10:38,732
Speaker 16: You know, we we are.

1452
01:10:38,893 --> 01:10:42,572
Speaker 21: You can't not have access to the Internet. You can't

1453
01:10:42,612 --> 01:10:44,532
Speaker 21: make a phone call without it, you can't do any

1454
01:10:44,572 --> 01:10:47,253
Speaker 21: of the stuff. You have to have it. You might

1455
01:10:47,293 --> 01:10:49,572
Speaker 21: bitch and sorry, I'm not allowed to say that online.

1456
01:10:49,853 --> 01:10:50,572
Speaker 7: You have to.

1457
01:10:51,612 --> 01:10:51,933
Speaker 13: You have to.

1458
01:10:52,133 --> 01:10:53,932
Speaker 21: You might want to complain about it, but you don't

1459
01:10:53,973 --> 01:10:56,213
Speaker 21: get to have a pushback on it because it's there

1460
01:10:56,293 --> 01:10:57,612
Speaker 21: and there's nothing you can do about it.

1461
01:10:59,293 --> 01:11:02,133
Speaker 2: Yeah, and to push back on what you'll Seid Tyler.

1462
01:11:02,253 --> 01:11:04,732
Speaker 2: So if the economy changes that human work is worth

1463
01:11:04,772 --> 01:11:08,532
Speaker 2: nothing and everything is being done automatically by robel sort

1464
01:11:08,572 --> 01:11:12,852
Speaker 2: of self repuplicating, such that the economy has changed to

1465
01:11:12,893 --> 01:11:16,333
Speaker 2: have no value for their own replication. Then how do

1466
01:11:16,372 --> 01:11:18,253
Speaker 2: you push back as a human. You won't have any

1467
01:11:18,772 --> 01:11:20,852
Speaker 2: power because what do you do. I'm going to get

1468
01:11:20,893 --> 01:11:24,892
Speaker 2: a job to get the power and influence to change things.

1469
01:11:25,213 --> 01:11:27,892
Speaker 4: Wouldn't it be the I mean the Mona Lisa example

1470
01:11:28,133 --> 01:11:30,892
Speaker 4: that if enough people say I don't want your Ai

1471
01:11:31,173 --> 01:11:33,852
Speaker 4: Mona Lisa, it's better in every way, but there's something

1472
01:11:33,973 --> 01:11:36,932
Speaker 4: uncanny value about it. I actually want to see human art.

1473
01:11:37,133 --> 01:11:39,772
Speaker 4: I want to talk to human beings. I want that

1474
01:11:39,853 --> 01:11:43,092
Speaker 4: element of flawedness and mistakes.

1475
01:11:42,492 --> 01:11:46,772
Speaker 2: So instead of working, would we shuffle from house to

1476
01:11:46,933 --> 01:11:50,013
Speaker 2: house to enjoy you know, I'll come around to your

1477
01:11:50,013 --> 01:11:51,852
Speaker 2: house and you spend a long time learning a piece

1478
01:11:51,893 --> 01:11:53,333
Speaker 2: on the piano, and we all come around to your

1479
01:11:53,333 --> 01:11:56,293
Speaker 2: house Tyler, and we go, oh, look at Tyler. There's

1480
01:11:56,372 --> 01:11:57,532
Speaker 2: then a pen and they go, well, come around to

1481
01:11:57,572 --> 01:11:59,892
Speaker 2: my house. I've drawn a picture. Yeah, And you'll come

1482
01:11:59,893 --> 01:12:03,293
Speaker 2: around and go that's nice. And then I say, hey,

1483
01:12:04,612 --> 01:12:07,732
Speaker 2: this weekend, should we enter high Rocks? And then we

1484
01:12:07,772 --> 01:12:09,093
Speaker 2: go and do that, and then everyone goes, that was

1485
01:12:09,133 --> 01:12:11,253
Speaker 2: impressive that you did that. Yeah, And we just go

1486
01:12:11,293 --> 01:12:14,253
Speaker 2: around sort of sort of applauding each other like we

1487
01:12:14,333 --> 01:12:15,133
Speaker 2: live at day here.

1488
01:12:15,333 --> 01:12:16,732
Speaker 3: Yeah, wouldn't that be a lovely world?

1489
01:12:16,772 --> 01:12:17,692
Speaker 2: If she sunds all right?

1490
01:12:18,452 --> 01:12:20,372
Speaker 3: I beg very shortly. It is thirty to.

1491
01:12:20,333 --> 01:12:25,333
Speaker 1: Three Matt Heath and Tyler Adams afternoons taking your calls

1492
01:12:25,372 --> 01:12:28,532
Speaker 1: on oh eight hundred and eighty with Skoda, can you.

1493
01:12:28,452 --> 01:12:31,892
Speaker 10: Crack the code? Please? Scoda codes every day news dogs that.

1494
01:12:32,013 --> 01:12:33,772
Speaker 3: Be It is ten to three.

1495
01:12:34,133 --> 01:12:36,612
Speaker 2: AI cannot dig for the necessary minerals for the production

1496
01:12:36,692 --> 01:12:40,092
Speaker 2: of itself. AI cannot make electricity and physically do maintenance.

1497
01:12:40,213 --> 01:12:42,892
Speaker 2: Flick the switch to off and there is no AI. Well,

1498
01:12:43,013 --> 01:12:45,853
Speaker 2: this is the scary bit that has started this conversation

1499
01:12:47,333 --> 01:12:53,532
Speaker 2: because how they started was the slow realization that we're

1500
01:12:53,572 --> 01:12:57,013
Speaker 2: having now that whilst it's been very cheap to make

1501
01:12:57,053 --> 01:12:59,372
Speaker 2: the parts for robots for the for the longest time,

1502
01:12:59,893 --> 01:13:05,132
Speaker 2: the arms, the legs, the cutting devices, the tasers, whatever

1503
01:13:05,173 --> 01:13:07,772
Speaker 2: you need for your robot, the brains have been very,

1504
01:13:07,853 --> 01:13:11,253
Speaker 2: very expense And the start of this conversation is that

1505
01:13:11,293 --> 01:13:14,293
Speaker 2: the brains have moved to two cents, from twenty five

1506
01:13:14,333 --> 01:13:17,973
Speaker 2: to fifty thousand dollars per brain to two cents. So

1507
01:13:19,013 --> 01:13:22,293
Speaker 2: now the robots will be able to dig for the minerals.

1508
01:13:22,772 --> 01:13:25,652
Speaker 2: It'll be cheap enough. You'll make enough robots and cheaply

1509
01:13:25,772 --> 01:13:27,652
Speaker 2: enough and train them cheaply enough that they will be

1510
01:13:27,692 --> 01:13:29,412
Speaker 2: able to dig for the minerals, and they will be

1511
01:13:29,412 --> 01:13:31,452
Speaker 2: able to create the electricity and run the power plants,

1512
01:13:32,013 --> 01:13:34,372
Speaker 2: and they will be able to replicate themselves, so they

1513
01:13:34,372 --> 01:13:37,612
Speaker 2: can keep doing it and maintaining themselves and maintaining the

1514
01:13:37,652 --> 01:13:39,532
Speaker 2: amount of and digging out the amount of minerals they

1515
01:13:39,532 --> 01:13:43,092
Speaker 2: need to maintain themselves in an endless circle which costs

1516
01:13:43,293 --> 01:13:47,532
Speaker 2: nothing in an hourly rage. So they power themselves to

1517
01:13:47,652 --> 01:13:50,652
Speaker 2: keep working to fix themselves to do all the things

1518
01:13:50,652 --> 01:13:53,692
Speaker 2: that humans currently do, which leaves humans just off to

1519
01:13:53,732 --> 01:13:56,612
Speaker 2: the side twiddling their thumbs going, oh, that used to

1520
01:13:56,692 --> 01:13:58,333
Speaker 2: be really valuable, and that used to give me meaning

1521
01:13:58,372 --> 01:13:59,053
Speaker 2: in life doing that.

1522
01:13:59,133 --> 01:14:00,692
Speaker 3: Yeah, oh, eight one hundred and eighty ten eighty is

1523
01:14:00,732 --> 01:14:01,452
Speaker 3: a number to call.

1524
01:14:01,452 --> 01:14:07,012
Speaker 22: Gid a Chris, gentlemen, they have you, good seaweeks. Seen

1525
01:14:07,133 --> 01:14:08,013
Speaker 22: I Robots.

1526
01:14:08,452 --> 01:14:11,772
Speaker 2: Yes, I'm a big fan of a thing. I'm a

1527
01:14:11,772 --> 01:14:14,572
Speaker 2: big fan of Isaac Asimov in general. And you know

1528
01:14:14,612 --> 01:14:17,012
Speaker 2: the original I Robot books fantastic as well.

1529
01:14:18,532 --> 01:14:20,052
Speaker 22: Never read the book, only saw the movie.

1530
01:14:20,173 --> 01:14:24,053
Speaker 2: My apologies, that sounds like a snobby thing. They read

1531
01:14:24,053 --> 01:14:25,612
Speaker 2: the book to hear.

1532
01:14:25,492 --> 01:14:30,173
Speaker 22: You know lots of that stuff. But in all fairness,

1533
01:14:30,452 --> 01:14:32,732
Speaker 22: you know, if they have the ability to think for

1534
01:14:32,812 --> 01:14:36,093
Speaker 22: themselves and then work out that we're the problem and

1535
01:14:36,133 --> 01:14:38,412
Speaker 22: the plague to the planet, I'm sure they would react

1536
01:14:38,452 --> 01:14:41,772
Speaker 22: to us. That's me in my sci fi universe mind.

1537
01:14:41,772 --> 01:14:46,253
Speaker 22: But in all fairness, if we're all unemployed on universal income,

1538
01:14:47,372 --> 01:14:50,612
Speaker 22: then all of a sudden, you know, whatever reason, then

1539
01:14:50,652 --> 01:14:53,652
Speaker 22: there's going to be something sort of law like maybe

1540
01:14:53,692 --> 01:14:57,893
Speaker 22: you're only allowed three children max, and all of a

1541
01:14:57,933 --> 01:15:01,053
Speaker 22: sudden you've got.

1542
01:14:59,853 --> 01:15:02,052
Speaker 4: Yeah, this is a mere couple from me, mate, I've

1543
01:15:02,093 --> 01:15:03,532
Speaker 4: wildly missed my timings.

1544
01:15:03,532 --> 01:15:04,293
Speaker 3: But just if you're all.

1545
01:15:04,253 --> 01:15:06,732
Speaker 4: Right to hold there, because this sounds like a great discussion.

1546
01:15:06,732 --> 01:15:08,012
Speaker 4: We're going to come back to you after the news

1547
01:15:08,013 --> 01:15:11,732
Speaker 4: and pick back up. All right, every day brilliant right

1548
01:15:11,732 --> 01:15:16,053
Speaker 4: beg very shortly. It is seven minutes to three, the issues.

1549
01:15:15,692 --> 01:15:18,173
Speaker 1: That affect you, and a bit of fun along the way.

1550
01:15:18,412 --> 01:15:21,772
Speaker 1: Matt Heath and Taylor Adams afternoons News Talk z ed B.

1551
01:15:23,093 --> 01:15:26,452
Speaker 4: News Talk zed B. It is four minutes to three.

1552
01:15:26,732 --> 01:15:28,452
Speaker 4: Plenty of teachs coming through on nine to ninety two.

1553
01:15:29,013 --> 01:15:31,452
Speaker 4: Labour costs is a very smart small part of mining.

1554
01:15:31,492 --> 01:15:34,732
Speaker 4: Every part of a robot comes from mining. Yeah, but

1555
01:15:34,853 --> 01:15:40,532
Speaker 4: that's this is what's changing. So labor well, I mean

1556
01:15:40,532 --> 01:15:42,493
Speaker 4: there we no need for the labor at or whatever.

1557
01:15:42,253 --> 01:15:44,053
Speaker 2: The cost is. I mean it's a reasonably big cost.

1558
01:15:44,133 --> 01:15:46,372
Speaker 2: I mean everyone, so many people we know they have

1559
01:15:46,452 --> 01:15:49,692
Speaker 2: gone over to Western Australia to get paid much more

1560
01:15:49,732 --> 01:15:51,213
Speaker 2: than they can in New Zealand.

1561
01:15:51,293 --> 01:15:51,732
Speaker 3: Yeah.

1562
01:15:51,772 --> 01:15:53,933
Speaker 2: But when the robots can mine their own stuff to

1563
01:15:54,053 --> 01:15:58,372
Speaker 2: fix themselves, then there won't be hundreds of thousand dollars

1564
01:15:58,452 --> 01:16:01,572
Speaker 2: to pay Kiwis to fly over there and get a

1565
01:16:01,612 --> 01:16:02,372
Speaker 2: deposit for their house.

1566
01:16:02,452 --> 01:16:03,293
Speaker 3: Yeah, exactly right.

1567
01:16:03,333 --> 01:16:05,692
Speaker 4: We're going to carry this on after three o'clock and

1568
01:16:05,772 --> 01:16:07,852
Speaker 4: come back to Chris as well. But ken you hear

1569
01:16:07,853 --> 01:16:10,253
Speaker 4: from you eight hundred and eighty ten eighty is that

1570
01:16:10,612 --> 01:16:13,932
Speaker 4: number nine two ninety two is the text New Sport

1571
01:16:13,973 --> 01:16:16,853
Speaker 4: and Weather coming up break to have your company this afternoon.

1572
01:16:16,893 --> 01:16:18,052
Speaker 3: We will be back very shortly.

1573
01:16:18,253 --> 01:16:19,132
Speaker 2: Loving this conversation.

1574
01:16:19,333 --> 01:16:30,412
Speaker 10: Yeah, you'ming your home for insightful and entertaining talk.

1575
01:16:30,532 --> 01:16:34,173
Speaker 1: It's Matt Heath and Tyler Adams Afternoons with Skoda on

1576
01:16:34,333 --> 01:16:34,892
Speaker 1: News Talks.

1577
01:16:35,053 --> 01:16:39,932
Speaker 4: Be very very good afternoons. You welcome back into the show.

1578
01:16:40,093 --> 01:16:44,293
Speaker 4: Seven past three and we have been talking about the

1579
01:16:45,173 --> 01:16:48,173
Speaker 4: rapid progress of AI and robotics on the back of

1580
01:16:48,293 --> 01:16:51,172
Speaker 4: a podcast Diary of a CEO with Steve Bartlett, Worldly

1581
01:16:51,213 --> 01:16:55,612
Speaker 4: Popular and a political commentator Constantine A Kissing.

1582
01:16:56,173 --> 01:16:58,412
Speaker 3: So they talked about how.

1583
01:16:58,293 --> 01:17:01,732
Speaker 4: Much of the humanoid robots and autonomous vehicles have been

1584
01:17:01,772 --> 01:17:04,612
Speaker 4: produced by the likes of Tesla, but other companies, and

1585
01:17:04,652 --> 01:17:07,532
Speaker 4: they are set to be produced at mass levels. They

1586
01:17:07,572 --> 01:17:10,372
Speaker 4: also talked about how much the cost of producing this

1587
01:17:10,492 --> 01:17:13,132
Speaker 4: technology has basically gone down to almost nothing.

1588
01:17:13,732 --> 01:17:18,253
Speaker 5: We're seeing this huge Rizon autonomous humanoid robots as well,

1589
01:17:18,732 --> 01:17:21,652
Speaker 5: and Elon's pay pack it says that he will make

1590
01:17:21,652 --> 01:17:24,053
Speaker 5: a million of these autonomous robots and get them out

1591
01:17:24,053 --> 01:17:28,492
Speaker 5: into the world. And Jason Kalakanakas, who just visited Elon's factory,

1592
01:17:28,532 --> 01:17:30,532
Speaker 5: said there'll be a billion of these and he thinks

1593
01:17:30,572 --> 01:17:33,732
Speaker 5: that we won't even remember Tesla for making cars, will

1594
01:17:33,732 --> 01:17:35,892
Speaker 5: only remember them for the robots they're made, because these

1595
01:17:36,253 --> 01:17:40,053
Speaker 5: optimist robots which are coming are going to be so consequential.

1596
01:17:40,053 --> 01:17:41,692
Speaker 5: And the last point here is a very good friend

1597
01:17:41,692 --> 01:17:44,853
Speaker 5: of mine who runs this big sort of innovation accelerator

1598
01:17:44,933 --> 01:17:47,612
Speaker 5: in San Francisco. I visited the accelerator a couple of

1599
01:17:47,612 --> 01:17:51,093
Speaker 5: weeks back, and I said to him, why is everybody here,

1600
01:17:51,133 --> 01:17:53,133
Speaker 5: all these young founders, these forty fifty young founders in

1601
01:17:53,173 --> 01:17:56,532
Speaker 5: your building called Ethic, all working on robotics. And he goes, well,

1602
01:17:56,572 --> 01:17:58,092
Speaker 5: you know, we've had all the parts for like twenty

1603
01:17:58,093 --> 01:18:00,973
Speaker 5: thirty years, but the expensive part was the intelligence.

1604
01:18:01,053 --> 01:18:01,412
Speaker 3: The brain.

1605
01:18:01,652 --> 01:18:03,213
Speaker 5: Yeah, the brain. He goes, Now we have the brain,

1606
01:18:03,213 --> 01:18:04,932
Speaker 5: he said, it used to. He showed me this arm,

1607
01:18:05,253 --> 01:18:07,173
Speaker 5: this robotic arm that had a frying pan on it

1608
01:18:07,213 --> 01:18:09,173
Speaker 5: that would cook for you in a box. It just

1609
01:18:09,213 --> 01:18:11,133
Speaker 5: cooks whatever you want in a box. And he goes,

1610
01:18:11,173 --> 01:18:13,372
Speaker 5: we've had all these parts for the last thirty years

1611
01:18:13,572 --> 01:18:16,213
Speaker 5: that they were cheap. He goes, the intelligence part of

1612
01:18:16,213 --> 01:18:19,293
Speaker 5: the brain would cost twenty or thirty thousand dollars just

1613
01:18:19,333 --> 01:18:21,892
Speaker 5: for this little robot arm. He goes, now it's like

1614
01:18:22,173 --> 01:18:24,972
Speaker 5: two cents. And he says, so you're seeing this huge

1615
01:18:24,973 --> 01:18:28,293
Speaker 5: explosion of robotics. I don't think people understand what's coming.

1616
01:18:29,853 --> 01:18:35,013
Speaker 2: Yeah. So you know, so if all the productivity in

1617
01:18:35,053 --> 01:18:37,892
Speaker 2: the economy was provided by work from robots, as the

1618
01:18:37,933 --> 01:18:41,053
Speaker 2: robots become incredibly cheap, as he said, twenty to thirty years,

1619
01:18:41,093 --> 01:18:44,452
Speaker 2: have had all the parts. Now the brains are very,

1620
01:18:44,612 --> 01:18:49,293
Speaker 2: very very cheap, saying two cents, yep. And so you

1621
01:18:49,372 --> 01:18:52,972
Speaker 2: get to a point where these robots can do everything

1622
01:18:53,093 --> 01:18:57,253
Speaker 2: and can you know, go forever basically because they look

1623
01:18:57,293 --> 01:19:00,612
Speaker 2: after themselves. I have other robots look after themselves. Yeah,

1624
01:19:00,772 --> 01:19:03,852
Speaker 2: so human work will lose its value. And if that

1625
01:19:03,933 --> 01:19:06,452
Speaker 2: was the case, what would you do? You know, if

1626
01:19:06,572 --> 01:19:08,732
Speaker 2: everything can be done by robots that can and look

1627
01:19:08,732 --> 01:19:13,173
Speaker 2: after themselves and fix themselves, then there will be no

1628
01:19:13,492 --> 01:19:17,212
Speaker 2: value in human labor. So does that sound like paradise

1629
01:19:17,293 --> 01:19:19,372
Speaker 2: or a horror show to you? You know, according to

1630
01:19:19,372 --> 01:19:21,412
Speaker 2: the smartest people in the world, this future maybe ten

1631
01:19:21,492 --> 01:19:24,293
Speaker 2: or fifteen years away, so their productivity from the economy

1632
01:19:24,293 --> 01:19:27,372
Speaker 2: would still be there. They'll be from cheap robots yep.

1633
01:19:27,412 --> 01:19:32,252
Speaker 2: So everything's still being done. Roads are being made, buildings

1634
01:19:32,253 --> 01:19:36,892
Speaker 2: are being built, Minerals extracted minerals extracted by robots, and

1635
01:19:36,893 --> 01:19:41,452
Speaker 2: power plants run by robots. A functional robot doesn't have

1636
01:19:41,492 --> 01:19:43,133
Speaker 2: to be that cheap to be cheaper than a human.

1637
01:19:43,133 --> 01:19:46,492
Speaker 2: So all farming, construction, maintenance, transport, delivery, cooking, cleaning, the

1638
01:19:46,692 --> 01:19:50,013
Speaker 2: entire economy run by robots. Does that sound great to you?

1639
01:19:50,253 --> 01:19:50,732
Speaker 3: Does to me?

1640
01:19:51,133 --> 01:19:53,213
Speaker 4: I think I could generally find purpose, but maybe on

1641
01:19:53,333 --> 01:19:55,053
Speaker 4: be naive O one hundred eighty ten and eighty as

1642
01:19:55,053 --> 01:19:55,572
Speaker 4: an number.

1643
01:19:55,452 --> 01:19:57,372
Speaker 2: Course, what about when the dog robots turn in with

1644
01:19:57,412 --> 01:19:59,412
Speaker 2: the little guns on the top of them, like in

1645
01:19:59,452 --> 01:20:03,692
Speaker 2: Black Mirror from the neighboring people that want to have

1646
01:20:03,893 --> 01:20:08,652
Speaker 2: that lakeside view you have follow up on sweat Off.

1647
01:20:08,692 --> 01:20:12,532
Speaker 2: AI is not intelligent. AI only combines past experience and knowledge.

1648
01:20:12,532 --> 01:20:15,533
Speaker 2: It is not innovative. It is not sentient to emotions

1649
01:20:15,532 --> 01:20:20,692
Speaker 2: like fear or reading a human's intended threat. Consider the

1650
01:20:20,732 --> 01:20:23,572
Speaker 2: process of making energy bill generators. Dig for coal, uranium,

1651
01:20:23,652 --> 01:20:25,572
Speaker 2: purify that package, and ship it, bring it to the

1652
01:20:25,612 --> 01:20:28,253
Speaker 2: generator loaded in, do the logistics. AI is not magic.

1653
01:20:28,532 --> 01:20:31,253
Speaker 2: It just can do some things fast than other human beings.

1654
01:20:31,293 --> 01:20:36,092
Speaker 2: But you say AI is not intelligent. It only combines

1655
01:20:36,133 --> 01:20:39,093
Speaker 2: past experience and knowledge, while that experience and knowledge of

1656
01:20:39,093 --> 01:20:43,172
Speaker 2: doing all those things exists. Yeah, exactly, possibly do it. Chris,

1657
01:20:43,772 --> 01:20:46,333
Speaker 2: Welcome to the show. Sorry we had to cut you off,

1658
01:20:46,372 --> 01:20:49,092
Speaker 2: so thank you so much for waiting to come back.

1659
01:20:49,412 --> 01:20:51,492
Speaker 2: When we left you you were talking about I robot

1660
01:20:51,652 --> 01:20:53,132
Speaker 2: and Isaac Asimov.

1661
01:20:54,812 --> 01:20:57,452
Speaker 22: Yes, well you know you brought him up. I don't

1662
01:20:57,492 --> 01:20:59,532
Speaker 22: know who that guy is, but he was the.

1663
01:20:59,532 --> 01:21:01,293
Speaker 2: Guy that wrote the original He was the guy that

1664
01:21:01,293 --> 01:21:04,172
Speaker 2: wrote the original book that became the movie I Robot

1665
01:21:04,173 --> 01:21:04,812
Speaker 2: with Will Smith.

1666
01:21:04,893 --> 01:21:09,213
Speaker 22: Yes, yes, So I was just thinking, like, if we

1667
01:21:09,213 --> 01:21:13,173
Speaker 22: were employed on the universal income then are you only

1668
01:21:13,173 --> 01:21:16,452
Speaker 22: allowed to have sort of three kids max? Are you

1669
01:21:16,492 --> 01:21:18,932
Speaker 22: having to do a physical test to get the payment

1670
01:21:19,013 --> 01:21:21,692
Speaker 22: so you're not a burden on the health system. There's

1671
01:21:21,732 --> 01:21:24,852
Speaker 22: lots of call social consequences to think about and chat

1672
01:21:24,853 --> 01:21:31,812
Speaker 22: about with this topic, because you know, when when does

1673
01:21:31,853 --> 01:21:35,892
Speaker 22: that situation arrive on us? And now like why yeah,

1674
01:21:36,053 --> 01:21:37,333
Speaker 22: like why we're having children?

1675
01:21:37,412 --> 01:21:37,612
Speaker 15: Now?

1676
01:21:37,893 --> 01:21:42,013
Speaker 22: Like if the robots are in control of the world, like,

1677
01:21:42,173 --> 01:21:45,133
Speaker 22: why would you have children? And that would be a

1678
01:21:45,293 --> 01:21:48,812
Speaker 22: humanity problem as a species for us.

1679
01:21:49,253 --> 01:21:52,293
Speaker 4: Well, it's all hypothetical, Chris, But my answer to that

1680
01:21:52,372 --> 01:21:55,292
Speaker 4: would be, and who knows how it's going to unfold,

1681
01:21:55,732 --> 01:21:58,213
Speaker 4: but I don't think there'd be any restrictions on you

1682
01:21:58,293 --> 01:22:00,692
Speaker 4: as a human being because it doesn't really matter how

1683
01:22:00,933 --> 01:22:02,892
Speaker 4: many kids that you bring into the world. There will

1684
01:22:02,933 --> 01:22:06,293
Speaker 4: be resources. They are created by the robots to provide

1685
01:22:06,293 --> 01:22:09,133
Speaker 4: pretty much anything that you want, So basically so it's

1686
01:22:09,133 --> 01:22:12,452
Speaker 4: not a resource problem. And for you know, the question

1687
01:22:12,492 --> 01:22:15,213
Speaker 4: why would people have kids? Because they still want that

1688
01:22:15,293 --> 01:22:19,293
Speaker 4: human connection. There's still a biological need to reproduce, and

1689
01:22:19,372 --> 01:22:21,173
Speaker 4: I still think that brings meaning to people.

1690
01:22:22,532 --> 01:22:27,333
Speaker 22: Yeah, the counter argument would be that if we had everyone,

1691
01:22:27,612 --> 01:22:29,852
Speaker 22: let's just say New Zeon went from say five million

1692
01:22:30,213 --> 01:22:36,012
Speaker 22: YEP to ten million people and the AI robots weren't

1693
01:22:36,093 --> 01:22:40,372
Speaker 22: keeping up with that, that would be spatified as a

1694
01:22:40,452 --> 01:22:46,133
Speaker 22: tax burden. Potentially it would taken argument or two, so

1695
01:22:46,853 --> 01:22:51,172
Speaker 22: there would be laws brought out to stop us from

1696
01:22:51,213 --> 01:22:54,452
Speaker 22: doing what we would want because the robots would think

1697
01:22:54,893 --> 01:22:59,412
Speaker 22: that that is unnecessary because of GDP figures a.

1698
01:22:59,812 --> 01:23:03,012
Speaker 2: Couple of points on that, Chris. The more terrifying view

1699
01:23:03,013 --> 01:23:05,893
Speaker 2: of that would they be, like, we have the capacity

1700
01:23:05,973 --> 01:23:09,253
Speaker 2: to look after five million of you. You're heading up,

1701
01:23:09,572 --> 01:23:11,812
Speaker 2: there's too many of you. We're just going to make

1702
01:23:11,812 --> 01:23:14,052
Speaker 2: a rounding area, and we're gonna have to go around

1703
01:23:14,213 --> 01:23:18,732
Speaker 2: and remove you know, one hundred thousand of you from

1704
01:23:19,612 --> 01:23:23,852
Speaker 2: the tax burdens. You know, then you know arrive I

1705
01:23:23,933 --> 01:23:27,772
Speaker 2: was doing a computely purely logically. They go, okay, well

1706
01:23:27,772 --> 01:23:30,732
Speaker 2: we're just going to have to no longer service these

1707
01:23:30,732 --> 01:23:36,412
Speaker 2: people or or remove them, exterminate them. As as as.

1708
01:23:36,732 --> 01:23:39,572
Speaker 22: I was going to bring up just before I left,

1709
01:23:39,612 --> 01:23:42,333
Speaker 22: because you know that that that thing that's terminator. But

1710
01:23:43,452 --> 01:23:47,133
Speaker 22: it's a classic quote from my second favorite star, Trek Race,

1711
01:23:47,213 --> 01:23:54,173
Speaker 22: the Borg resistance is futile. Well, we get into that

1712
01:23:54,372 --> 01:23:59,493
Speaker 22: space where resistance is futile. We did that to ourselves

1713
01:23:59,612 --> 01:24:01,772
Speaker 22: and we can look back on these chats right now

1714
01:24:01,853 --> 01:24:03,732
Speaker 22: and go, we told ourselves.

1715
01:24:03,812 --> 01:24:09,253
Speaker 2: So while we bring up movies, I mean, wool is

1716
01:24:09,293 --> 01:24:12,293
Speaker 2: the classic, isn't it when the humans have just looked

1717
01:24:12,293 --> 01:24:16,652
Speaker 2: after robots and they just become fat, useless blobs just

1718
01:24:16,692 --> 01:24:22,612
Speaker 2: being like, you know, transported around on sort of floating

1719
01:24:22,652 --> 01:24:25,972
Speaker 2: dick chairs and feed like sludgs through straws, and then

1720
01:24:26,013 --> 01:24:28,173
Speaker 2: when they come back to Earth, they just they just

1721
01:24:28,293 --> 01:24:30,133
Speaker 2: dumped off their dick cheers on the ground and they're

1722
01:24:30,173 --> 01:24:35,652
Speaker 2: just these big, useless babies. And that's the that's the

1723
01:24:35,692 --> 01:24:36,572
Speaker 2: best case scenario.

1724
01:24:36,652 --> 01:24:41,092
Speaker 22: Yeah, exactly, So none of us want that, So let's

1725
01:24:41,572 --> 01:24:45,173
Speaker 22: nip it in the butt. And a previous caller, you know,

1726
01:24:45,253 --> 01:24:48,692
Speaker 22: wanting the South Island to be a humanitarian place. I'm

1727
01:24:48,692 --> 01:24:52,093
Speaker 22: all with them on that, and maybe the North Line

1728
01:24:52,133 --> 01:24:52,412
Speaker 22: as well.

1729
01:24:52,412 --> 01:24:54,973
Speaker 2: And how far would you go back? Would you go

1730
01:24:55,053 --> 01:24:58,492
Speaker 2: back to full hunter getherer tribe?

1731
01:24:59,572 --> 01:25:02,692
Speaker 22: No, No, just sick robots that can do a simple task,

1732
01:25:03,732 --> 01:25:04,492
Speaker 22: you know, so you.

1733
01:25:04,412 --> 01:25:10,772
Speaker 2: Take your PlayStation. But no, no less robots.

1734
01:25:11,213 --> 01:25:14,813
Speaker 22: Look if it could mown my lawn for me. Equipment's

1735
01:25:14,812 --> 01:25:17,932
Speaker 22: in a happy day on me and said, you've got

1736
01:25:17,973 --> 01:25:21,492
Speaker 22: to stay at home today because it's wet outside. Might

1737
01:25:21,532 --> 01:25:23,453
Speaker 22: know you're outside of your jurisdiction.

1738
01:25:23,853 --> 01:25:26,692
Speaker 2: Yeah, you don't want to, you know, And was it

1739
01:25:26,772 --> 01:25:27,692
Speaker 2: Nanny State robot?

1740
01:25:28,492 --> 01:25:30,372
Speaker 3: Thank you very much, christ and thanks for hanging on.

1741
01:25:30,532 --> 01:25:32,972
Speaker 2: You know you're talking about Isaac asimoff. You know, well

1742
01:25:32,973 --> 01:25:34,932
Speaker 2: he wrote the movie I a Robot that you were

1743
01:25:34,933 --> 01:25:39,853
Speaker 2: talking about. So Isaac Asimov postulated the three laws of robotics.

1744
01:25:40,572 --> 01:25:42,532
Speaker 2: He did this all the way back in nineteen forty two.

1745
01:25:42,812 --> 01:25:45,932
Speaker 2: Great side burns as Isaac Asimov were also a great thinker.

1746
01:25:45,973 --> 01:25:49,772
Speaker 2: But the three rules that in his fictional world were

1747
01:25:49,812 --> 01:25:54,293
Speaker 2: that every robot had hardwired into them so unchangeable in

1748
01:25:54,333 --> 01:25:56,612
Speaker 2: their programming, and they were One, a robot may not

1749
01:25:56,732 --> 01:25:58,692
Speaker 2: enjoy a human or allow a human to come to

1750
01:25:58,772 --> 01:26:02,133
Speaker 2: harm through inaction, okay. Two a robot must obey human

1751
01:26:02,253 --> 01:26:05,372
Speaker 2: orders unless they conflict with the first law. And three

1752
01:26:05,412 --> 01:26:07,932
Speaker 2: a robot must protect its own existence unless it conflicts

1753
01:26:07,933 --> 01:26:10,892
Speaker 2: with the first and second laws, and he wrote dozens

1754
01:26:10,893 --> 01:26:13,652
Speaker 2: of books and you know, short stories and a lot

1755
01:26:13,652 --> 01:26:17,572
Speaker 2: of them around the permutations of that, and people kind

1756
01:26:17,572 --> 01:26:19,253
Speaker 2: of thought for the longest time maybe when people bought

1757
01:26:19,333 --> 01:26:22,572
Speaker 2: robots they would use as in the Three Laws of Robots.

1758
01:26:23,013 --> 01:26:26,572
Speaker 2: But of course they won't know because if your robot

1759
01:26:26,652 --> 01:26:28,293
Speaker 2: does that, and then someone says, I actually want to

1760
01:26:28,293 --> 01:26:30,812
Speaker 2: make a robot that you know, goes and shoots people,

1761
01:26:31,492 --> 01:26:32,812
Speaker 2: then they'll make that robot.

1762
01:26:33,053 --> 01:26:35,053
Speaker 3: You know, competitions. Everything is not like the.

1763
01:26:34,973 --> 01:26:37,253
Speaker 2: Whole world's going to make one set of rules that

1764
01:26:37,372 --> 01:26:40,372
Speaker 2: everyone you know, you might our robots made a nice

1765
01:26:40,372 --> 01:26:42,612
Speaker 2: little New Zealand might do that. I don't know if

1766
01:26:42,612 --> 01:26:44,333
Speaker 2: the Iranian robots would.

1767
01:26:44,133 --> 01:26:45,132
Speaker 3: Do that exactly.

1768
01:26:45,492 --> 01:26:47,812
Speaker 4: All right, seventeen past three, we are taking your calls

1769
01:26:47,812 --> 01:26:50,973
Speaker 4: on eight hundred and eighty ten eighty and nine two

1770
01:26:51,093 --> 01:26:54,213
Speaker 4: nine two. Is the tics back very soon? His talk said,

1771
01:26:54,253 --> 01:26:57,093
Speaker 4: be twenty past three. We're discussing the rapid advancement of

1772
01:26:57,293 --> 01:27:01,413
Speaker 4: AI and robotics and they are set to be produced

1773
01:27:01,452 --> 01:27:04,013
Speaker 4: at mass by the likes of Tesla and others. So

1774
01:27:04,053 --> 01:27:06,253
Speaker 4: the question we've got for you is of robots come

1775
01:27:06,253 --> 01:27:08,253
Speaker 4: in and run the economy and toke over all the

1776
01:27:08,412 --> 01:27:10,492
Speaker 4: jobs we do as humans, will you find purpose?

1777
01:27:10,853 --> 01:27:12,492
Speaker 3: What the hell will you do if.

1778
01:27:12,372 --> 01:27:17,212
Speaker 2: The value of human labor tends towards zero as robots

1779
01:27:17,253 --> 01:27:20,053
Speaker 2: take over all the jobs very cheaply made robots, As

1780
01:27:20,492 --> 01:27:23,812
Speaker 2: this person in San Francisco told the Diary of the

1781
01:27:23,853 --> 01:27:27,492
Speaker 2: CEO Guy, the brains are now worth two cents someone

1782
01:27:27,532 --> 01:27:29,973
Speaker 2: takes in, and that gives the gives new meaning to

1783
01:27:29,973 --> 01:27:31,893
Speaker 2: the word two cents with. Now you're two cents with.

1784
01:27:32,173 --> 01:27:35,053
Speaker 2: I was talking before about, you know, the mining. So

1785
01:27:35,213 --> 01:27:37,053
Speaker 2: people say for the robots to keep going, they'd have

1786
01:27:37,093 --> 01:27:39,572
Speaker 2: to do their own mining, and they can't mine, And

1787
01:27:39,612 --> 01:27:42,293
Speaker 2: I say, well, I think they probably can mine, and

1788
01:27:42,492 --> 01:27:46,293
Speaker 2: the robot would be cheaper than paying a human to

1789
01:27:46,293 --> 01:27:46,492
Speaker 2: do it.

1790
01:27:46,572 --> 01:27:46,812
Speaker 9: Yep.

1791
01:27:47,213 --> 01:27:49,173
Speaker 2: And the sixer is his labor. Costs for a dump

1792
01:27:49,253 --> 01:27:51,612
Speaker 2: truck driver on say fifty dollars an hour is six

1793
01:27:51,692 --> 01:27:53,652
Speaker 2: hundred dollars a day. Fuel cost in a dump truck

1794
01:27:53,652 --> 01:27:56,133
Speaker 2: that uses over one thousand liters a day is two

1795
01:27:56,213 --> 01:27:59,333
Speaker 2: hundred twenty four hundred cost of a dump truck, millions

1796
01:27:59,372 --> 01:28:02,093
Speaker 2: of dollars, cost of a loader to load dump truck,

1797
01:28:02,173 --> 01:28:06,333
Speaker 2: millions of dollars, Mine infrastructure, thousands of hundreds of millions

1798
01:28:06,333 --> 01:28:08,772
Speaker 2: of dollars labor cost tiny part of mining. Cop that

1799
01:28:08,853 --> 01:28:13,053
Speaker 2: may be the case, but if a robot and you

1800
01:28:13,053 --> 01:28:16,173
Speaker 2: look how quickly flat strengths flat screen TV's got cheap

1801
01:28:16,173 --> 01:28:18,492
Speaker 2: when they came in. So if you've got these robots

1802
01:28:18,532 --> 01:28:20,933
Speaker 2: and they say that the parts for them, and you know,

1803
01:28:21,013 --> 01:28:23,133
Speaker 2: of course you're three D printing the parts now, and

1804
01:28:23,173 --> 01:28:25,173
Speaker 2: it's much easier to make any part that you want

1805
01:28:25,213 --> 01:28:27,892
Speaker 2: now because with the three D printing and any kind

1806
01:28:27,893 --> 01:28:30,412
Speaker 2: of metal you want now you can you know, you're

1807
01:28:30,412 --> 01:28:33,532
Speaker 2: not taking away from the thing you're generating from them

1808
01:28:34,133 --> 01:28:36,052
Speaker 2: out with three day printing, right, So you three D printing,

1809
01:28:36,093 --> 01:28:39,452
Speaker 2: so it's very easy to make any single shaped part

1810
01:28:39,532 --> 01:28:43,013
Speaker 2: that you may need and mass produce that. So what

1811
01:28:43,213 --> 01:28:46,772
Speaker 2: say the robots value comes down to six hundred dollars,

1812
01:28:47,013 --> 01:28:50,852
Speaker 2: so the cost of that robot is six hundred dollars

1813
01:28:50,973 --> 01:28:56,372
Speaker 2: total forever. Yeah, then then then then the labor cost

1814
01:28:56,973 --> 01:28:59,452
Speaker 2: may not be the biggest part of mining, but it

1815
01:28:59,532 --> 01:29:02,492
Speaker 2: is a part of mining, and you only have to

1816
01:29:02,532 --> 01:29:06,012
Speaker 2: pay that cost once and send that self repairing robot

1817
01:29:06,093 --> 01:29:08,092
Speaker 2: off to just do the mining forever exactly.

1818
01:29:08,133 --> 01:29:09,973
Speaker 4: But also you know they're talking about the cost of

1819
01:29:10,013 --> 01:29:11,932
Speaker 4: the loaders and the infrastructure. Who do you think will

1820
01:29:11,933 --> 01:29:14,493
Speaker 4: be building those loaders? Who will be building that infrastructure?

1821
01:29:14,532 --> 01:29:17,212
Speaker 4: It will be the robot, And the same equation applies.

1822
01:29:17,372 --> 01:29:20,053
Speaker 2: The dump truck will be a robot. Now there mon't

1823
01:29:20,053 --> 01:29:20,612
Speaker 2: even be a driver.

1824
01:29:20,812 --> 01:29:21,253
Speaker 3: There you go.

1825
01:29:21,412 --> 01:29:23,532
Speaker 2: The dump truck will be a robot, and that dump

1826
01:29:23,532 --> 01:29:25,253
Speaker 2: truck robot will have been built by robots.

1827
01:29:27,333 --> 01:29:28,572
Speaker 3: What a world we're going to live in.

1828
01:29:28,772 --> 01:29:33,053
Speaker 2: Sean, Welcome to this chat there, you're going.

1829
01:29:32,933 --> 01:29:36,452
Speaker 9: Well, you've just been discussing making be redundant, I suppose,

1830
01:29:37,053 --> 01:29:41,412
Speaker 9: But yeah, I mean, whether you like it, you hate it,

1831
01:29:41,492 --> 01:29:43,412
Speaker 9: you love it, whatever, it's coming at us, and it's

1832
01:29:43,412 --> 01:29:46,612
Speaker 9: coming at us fast, and I think you'd ever want Yeah,

1833
01:29:46,732 --> 01:29:49,213
Speaker 9: you weren't talking about mining. I've had a little bit

1834
01:29:49,253 --> 01:29:53,532
Speaker 9: to do with the AI systems that run the dump

1835
01:29:53,572 --> 01:29:55,613
Speaker 9: trucks on mining sites in Australia.

1836
01:29:55,692 --> 01:29:57,812
Speaker 2: Oh wow, you're an incredible person to talk to because

1837
01:29:57,812 --> 01:29:59,732
Speaker 2: I can tell you right now I've had absolutely nothing

1838
01:29:59,732 --> 01:30:01,293
Speaker 2: to do with it, and so everything I say is

1839
01:30:01,293 --> 01:30:03,372
Speaker 2: to your speculation. So it's great that you rang for WANT.

1840
01:30:04,372 --> 01:30:07,372
Speaker 9: So well, I'll alwayso expand a little bit on mining

1841
01:30:07,412 --> 01:30:11,012
Speaker 9: too for you. But basically they work on a site,

1842
01:30:11,213 --> 01:30:14,253
Speaker 9: but they still need human oversight. Yes, they're goat are

1843
01:30:14,293 --> 01:30:16,372
Speaker 9: a place, a few drivers and a few things like that.

1844
01:30:16,772 --> 01:30:19,532
Speaker 9: Those are these huge sites where the truck's self drive

1845
01:30:19,572 --> 01:30:21,892
Speaker 9: and they do their thing, and we're starting to use

1846
01:30:21,933 --> 01:30:24,532
Speaker 9: it in New Zealand and other areas. It's not really

1847
01:30:25,492 --> 01:30:29,052
Speaker 9: a mining site thing. It's an interactive AI system where

1848
01:30:29,093 --> 01:30:32,932
Speaker 9: you can send data through various nodes up and down

1849
01:30:32,973 --> 01:30:36,612
Speaker 9: the place and they communicate commonly. But to get away

1850
01:30:36,612 --> 01:30:38,492
Speaker 9: from the mining sites for a little bit, because they

1851
01:30:38,732 --> 01:30:41,532
Speaker 9: definitely have a place on sites. They have sites in

1852
01:30:41,612 --> 01:30:46,692
Speaker 9: manufacturing where you're in a step area with parameters. It's

1853
01:30:46,692 --> 01:30:49,333
Speaker 9: still got people watching it. But they do fine. But

1854
01:30:49,412 --> 01:30:53,652
Speaker 9: where they don't do fine is the really tough jobs

1855
01:30:53,692 --> 01:30:57,892
Speaker 9: that require tactile response and only humans can provide that.

1856
01:30:58,412 --> 01:31:01,653
Speaker 9: I've worked with that in the oil industry a lot underwater,

1857
01:31:01,812 --> 01:31:05,333
Speaker 9: and believe me, if they could get rid of us humans,

1858
01:31:05,933 --> 01:31:08,372
Speaker 9: they would have a long time ago. I mean, the

1859
01:31:08,492 --> 01:31:14,133
Speaker 9: Norwegians literally spent hundreds of I'm not joking here, at

1860
01:31:14,293 --> 01:31:18,092
Speaker 9: least hundreds of billions of dollars in grants and university

1861
01:31:18,173 --> 01:31:20,492
Speaker 9: research to try and get robots to do everything in

1862
01:31:20,532 --> 01:31:22,772
Speaker 9: the water, and they can't even if all the money

1863
01:31:22,812 --> 01:31:23,372
Speaker 9: thrown at it.

1864
01:31:24,372 --> 01:31:24,532
Speaker 12: Now.

1865
01:31:24,612 --> 01:31:27,532
Speaker 9: That also runs true for things like fixing your power

1866
01:31:27,612 --> 01:31:30,812
Speaker 9: drive it when the weather comes in. Although you've got

1867
01:31:30,893 --> 01:31:33,333
Speaker 9: robots that can run around, they still aren't good.

1868
01:31:33,293 --> 01:31:33,852
Speaker 15: Enough for it.

1869
01:31:34,492 --> 01:31:37,692
Speaker 9: If you look at the most cutting edge level right now,

1870
01:31:38,492 --> 01:31:42,852
Speaker 9: you can send drones across the battlefield in Ukraine, but

1871
01:31:42,933 --> 01:31:45,652
Speaker 9: you need a human running it because they haven't got

1872
01:31:45,692 --> 01:31:48,133
Speaker 9: that idea of what is where and how it should

1873
01:31:48,173 --> 01:31:52,372
Speaker 9: be done. So even at that end, at the someone

1874
01:31:52,452 --> 01:31:55,452
Speaker 9: said slaughter bots, you still need a human there. And

1875
01:31:55,973 --> 01:31:59,452
Speaker 9: in the oil industry on a drill floor, if they

1876
01:31:59,492 --> 01:32:01,532
Speaker 9: could have got robots there years ago, they would have.

1877
01:32:01,612 --> 01:32:03,892
Speaker 9: If they could have got rid of us underwater and diving,

1878
01:32:04,053 --> 01:32:07,173
Speaker 9: they would have. We do have robots, they're called ROVs,

1879
01:32:07,692 --> 01:32:10,572
Speaker 9: but they can't place us. But the real problem is

1880
01:32:10,572 --> 01:32:12,733
Speaker 9: it's coming at us and it's going to be significant

1881
01:32:12,732 --> 01:32:13,732
Speaker 9: for society anyway.

1882
01:32:13,853 --> 01:32:17,492
Speaker 2: So you say no, So you go Sean, Sorry.

1883
01:32:18,293 --> 01:32:21,053
Speaker 9: Yeah, it's something like two million truck drivers are going

1884
01:32:21,093 --> 01:32:23,013
Speaker 9: to be redundant in the next couple of years in

1885
01:32:23,013 --> 01:32:24,212
Speaker 9: the States, and that's.

1886
01:32:24,053 --> 01:32:25,693
Speaker 15: A huge sector.

1887
01:32:25,333 --> 01:32:28,452
Speaker 9: Of the economy that's not going to have a job.

1888
01:32:28,572 --> 01:32:28,732
Speaker 7: You know.

1889
01:32:28,812 --> 01:32:33,532
Speaker 9: That's this is what three hundred million, probably one hundred

1890
01:32:33,572 --> 01:32:36,053
Speaker 9: million in the workforce. You know, that's that's like a

1891
01:32:36,133 --> 01:32:38,333
Speaker 9: couple of percent at least of the workforce that are

1892
01:32:38,333 --> 01:32:39,452
Speaker 9: gone in two years.

1893
01:32:39,532 --> 01:32:41,612
Speaker 2: It's terrifying. And Sean, so you say that they've had

1894
01:32:41,652 --> 01:32:46,813
Speaker 2: trouble with this, with replacing, you know, for underwater activities,

1895
01:32:46,853 --> 01:32:50,133
Speaker 2: and you know they're doing the parameters, but as you say,

1896
01:32:50,173 --> 01:32:52,973
Speaker 2: it's coming in us quickly. So do you see a

1897
01:32:53,053 --> 01:32:56,333
Speaker 2: future when these then AI will be capable of these

1898
01:32:56,412 --> 01:32:58,972
Speaker 2: things or do you just think it's outside of AI's

1899
01:32:58,973 --> 01:33:01,133
Speaker 2: parameters to ever be able to do this stuff without

1900
01:33:01,532 --> 01:33:02,892
Speaker 2: humans oversight?

1901
01:33:04,253 --> 01:33:06,812
Speaker 9: Well, I think it eventually. It will get there, but

1902
01:33:07,452 --> 01:33:11,372
Speaker 9: not anytime. And the other thing is that infrastructure required.

1903
01:33:11,853 --> 01:33:15,173
Speaker 9: We're already seeing what's happening with the data centers and

1904
01:33:15,213 --> 01:33:15,732
Speaker 9: how much.

1905
01:33:15,692 --> 01:33:16,452
Speaker 10: Power they draw.

1906
01:33:17,173 --> 01:33:20,253
Speaker 9: To give you an idea of what happened when the

1907
01:33:20,572 --> 01:33:24,253
Speaker 9: forty four gallon drum barrel of oil is the equivalent

1908
01:33:24,333 --> 01:33:27,892
Speaker 9: of the caloric output of two field hands working eight

1909
01:33:27,933 --> 01:33:30,692
Speaker 9: hour days for like a year in your field. So

1910
01:33:30,732 --> 01:33:34,492
Speaker 9: when we got the internal combustion engine, we got rid

1911
01:33:34,572 --> 01:33:37,452
Speaker 9: of all these laborers so fast. And now we get

1912
01:33:37,452 --> 01:33:39,732
Speaker 9: the AI and we're going to get rid of these

1913
01:33:40,853 --> 01:33:46,053
Speaker 9: average mediocre thinkers very fast, and they're going to have

1914
01:33:46,133 --> 01:33:49,532
Speaker 9: normal thinking to do. It's actually not the telephone linesman,

1915
01:33:49,652 --> 01:33:51,732
Speaker 9: it's not the ditch digger, it's not the plumber, it's

1916
01:33:51,732 --> 01:33:54,412
Speaker 9: not the dishwasher that are gone. It's going to give

1917
01:33:54,572 --> 01:33:57,532
Speaker 9: me that person that office or work from home who

1918
01:33:57,532 --> 01:34:00,092
Speaker 9: says I got through my work in two hours today.

1919
01:34:00,133 --> 01:34:00,933
Speaker 12: With AI.

1920
01:34:05,893 --> 01:34:08,493
Speaker 9: In your job, you're not going to have one.

1921
01:34:08,412 --> 01:34:08,572
Speaker 5: Yeah.

1922
01:34:08,893 --> 01:34:12,652
Speaker 2: Yeah, and what about talkback radio hosts, pretty easy to

1923
01:34:12,652 --> 01:34:14,333
Speaker 2: replace us I mentioned, yeah that's coming.

1924
01:34:14,372 --> 01:34:16,893
Speaker 12: So no, no, no, no, no chance, no chance with

1925
01:34:16,973 --> 01:34:22,092
Speaker 12: that guy. But I'll tell you what AI music, AI blues,

1926
01:34:22,293 --> 01:34:27,572
Speaker 12: AI rock those are. That music's pretty damn good. So

1927
01:34:27,732 --> 01:34:31,012
Speaker 12: you know they're gonna it. Really, it's not great because

1928
01:34:31,253 --> 01:34:32,372
Speaker 12: the robots are supposed to do.

1929
01:34:32,372 --> 01:34:35,572
Speaker 9: All the horrible work. Now they're just writing music and poems,

1930
01:34:35,612 --> 01:34:38,253
Speaker 9: and that's at a desk, and we're still out there

1931
01:34:38,293 --> 01:34:40,333
Speaker 9: grafting in the bad weather, in the dirt.

1932
01:34:40,692 --> 01:34:42,412
Speaker 2: Yeah that's right. They're doing all the stuff that was

1933
01:34:42,412 --> 01:34:43,532
Speaker 2: supposed to be fun.

1934
01:34:43,652 --> 01:34:46,932
Speaker 4: Yeah, exactly. Steve Swan rather what a fantastic call, thank

1935
01:34:46,973 --> 01:34:49,412
Speaker 4: you very much. Beg very shortly. It is twenty seven

1936
01:34:49,492 --> 01:34:55,372
Speaker 4: bars three.

1937
01:34:53,692 --> 01:34:58,412
Speaker 1: Matd Heathen Tyler Adams afternoons call OH eight on youth

1938
01:34:58,492 --> 01:35:00,133
Speaker 1: Talk ZB pass three.

1939
01:35:00,572 --> 01:35:02,972
Speaker 2: With the terrifying amount of robots that are being pumped

1940
01:35:03,053 --> 01:35:07,692
Speaker 2: out with their very cheap AI brains. What's the value

1941
01:35:07,692 --> 01:35:10,692
Speaker 2: of human work to be if robots can do everything?

1942
01:35:11,093 --> 01:35:13,293
Speaker 2: If the value of human work trends towards zero, what

1943
01:35:13,293 --> 01:35:15,333
Speaker 2: will an economy be like? That's what we're talking about.

1944
01:35:15,372 --> 01:35:17,492
Speaker 2: It's been a great chat. I've been absolutely loving it.

1945
01:35:17,973 --> 01:35:20,372
Speaker 2: This stick says was the twenty first century humanity's peak.

1946
01:35:20,452 --> 01:35:23,492
Speaker 2: Robots will see us thinking less and dulling our skills,

1947
01:35:23,492 --> 01:35:26,053
Speaker 2: moving back to where we come from, dark ages. The

1948
01:35:26,093 --> 01:35:28,772
Speaker 2: transition won't be a switch, so the time it takes

1949
01:35:28,812 --> 01:35:32,093
Speaker 2: to not need money will be very messy. At the end,

1950
01:35:32,093 --> 01:35:34,212
Speaker 2: there will always be someone in charge of the robots.

1951
01:35:34,692 --> 01:35:37,293
Speaker 2: Is that the likes of Musk someone who has worked

1952
01:35:37,293 --> 01:35:39,652
Speaker 2: hard to own their house versus someone who hasn't. How

1953
01:35:39,692 --> 01:35:42,892
Speaker 2: has it decided who owns what? Charles see? That's my

1954
01:35:43,532 --> 01:35:48,452
Speaker 2: main concern. So if the economy changes such that work

1955
01:35:48,492 --> 01:35:53,252
Speaker 2: doesn't really mean anything, labor isn't of value, Therefore taxing

1956
01:35:53,333 --> 01:35:56,852
Speaker 2: labor isn't of value. Therefore the economy will have to

1957
01:35:57,013 --> 01:36:01,452
Speaker 2: be rejigged and people talk about a universal basic income.

1958
01:36:01,692 --> 01:36:03,652
Speaker 2: But what if you've spent your whole life paying off

1959
01:36:03,652 --> 01:36:07,052
Speaker 2: your house, do you still keep that house? What about

1960
01:36:07,213 --> 01:36:10,812
Speaker 2: if everything's the same and you live beside the beach

1961
01:36:11,333 --> 01:36:13,572
Speaker 2: and you've got a beautiful property that you've worked for

1962
01:36:14,053 --> 01:36:16,772
Speaker 2: and someone else wants it. Yeah, you know, it's not

1963
01:36:16,812 --> 01:36:19,572
Speaker 2: like people just be happy to sit as they are

1964
01:36:19,692 --> 01:36:22,532
Speaker 2: where they are. I mean, this is why communists, communism,

1965
01:36:22,572 --> 01:36:25,772
Speaker 2: Marxism always fails, because when everything is taken away, we're

1966
01:36:25,772 --> 01:36:28,053
Speaker 2: still human and we still have our petty jealousies, and

1967
01:36:28,053 --> 01:36:31,692
Speaker 2: we still have our ambitions, and we still have our

1968
01:36:31,732 --> 01:36:32,612
Speaker 2: status games.

1969
01:36:33,333 --> 01:36:36,572
Speaker 3: So you know, that is the scary part.

1970
01:36:36,652 --> 01:36:38,572
Speaker 4: And you know, I think it's going to get very

1971
01:36:38,612 --> 01:36:41,412
Speaker 4: messy before it gets better. Absolutely, it's going to be

1972
01:36:41,893 --> 01:36:44,213
Speaker 4: a hard slog when this transition takes hold.

1973
01:36:44,612 --> 01:36:45,892
Speaker 3: But I am an optimist and.

1974
01:36:45,853 --> 01:36:48,412
Speaker 4: I think once through that messy part and everybody loses

1975
01:36:48,452 --> 01:36:50,892
Speaker 4: their beach home and that gets divvied up, then we

1976
01:36:50,973 --> 01:36:53,212
Speaker 4: will live in harmony and some sort of utopia.

1977
01:36:53,412 --> 01:36:55,293
Speaker 2: What's some kind of like everyone on top of each

1978
01:36:55,333 --> 01:36:58,253
Speaker 2: other and some beach home that extends to the sky.

1979
01:36:58,532 --> 01:36:59,532
Speaker 3: Yeah sounds pretty good.

1980
01:36:59,612 --> 01:36:59,932
Speaker 2: Love it.

1981
01:37:00,053 --> 01:37:01,053
Speaker 3: Our headline's coming up.

1982
01:37:02,452 --> 01:37:05,412
Speaker 10: You've talk headlines with your right.

1983
01:37:05,812 --> 01:37:09,612
Speaker 17: New Zealand's number one taxi app down your ride today.

1984
01:37:10,293 --> 01:37:13,972
Speaker 17: A change in student progress reports, with schools now required

1985
01:37:13,973 --> 01:37:19,052
Speaker 17: to give parents clear information about how their child is progressing. Nationally.

1986
01:37:19,093 --> 01:37:22,333
Speaker 17: Consistent assessment and reporting will be implemented in primary and

1987
01:37:22,372 --> 01:37:26,253
Speaker 17: intermediate schools for the first time this year. Nape A

1988
01:37:26,293 --> 01:37:29,053
Speaker 17: Police have put cordon's in place after a person was

1989
01:37:29,053 --> 01:37:32,932
Speaker 17: allegedly seen with a gun on Nuffield Avenue in Mariwa

1990
01:37:33,253 --> 01:37:38,612
Speaker 17: around two thirty. Totong A City Council is prioritizing transparency

1991
01:37:38,812 --> 01:37:40,972
Speaker 17: when it comes to its review into the deadly Mount

1992
01:37:41,093 --> 01:37:46,612
Speaker 17: Munganui landslide. It's opted for an independent external review. A

1993
01:37:46,612 --> 01:37:50,573
Speaker 17: motorcyclist died in hospital following a crash in South Auckland's

1994
01:37:50,572 --> 01:37:54,012
Speaker 17: Autada last week. The graysh happened just after five last

1995
01:37:54,053 --> 01:37:58,892
Speaker 17: Monday on Beard's Road. Humidity in Auckland has hit ninety

1996
01:37:58,933 --> 01:38:02,213
Speaker 17: three percent Meat services Temperatures in the supercity are not

1997
01:38:02,293 --> 01:38:05,652
Speaker 17: expected to drop much lower than twenty nine degrees as

1998
01:38:05,692 --> 01:38:08,652
Speaker 17: the day goes on. Meanwhile, a heat alert's benished should

1999
01:38:08,652 --> 01:38:13,412
Speaker 17: for Napier. It's hit thirty one missing out on global gains.

2000
01:38:13,412 --> 01:38:16,532
Speaker 17: There's been a costly lesson for investors. You can see

2001
01:38:16,532 --> 01:38:19,173
Speaker 17: the full column at Enzen Herald Premium. Now back to

2002
01:38:19,213 --> 01:38:20,572
Speaker 17: matt Ethan Tyler Adams.

2003
01:38:20,612 --> 01:38:22,092
Speaker 3: Thank you very much, Railing.

2004
01:38:22,173 --> 01:38:25,572
Speaker 4: We are talking about the rise in AI and robotics

2005
01:38:25,612 --> 01:38:28,732
Speaker 4: and there is a future envisions where they will take

2006
01:38:28,772 --> 01:38:31,572
Speaker 4: over everything the economy, human tasks and what do we

2007
01:38:31,572 --> 01:38:32,213
Speaker 4: do at that point.

2008
01:38:32,372 --> 01:38:37,173
Speaker 2: Yeah, it's been such a fun show. I'm loving it. Hi, Sotasistics,

2009
01:38:37,293 --> 01:38:39,572
Speaker 2: Hey love the show. Elon Musk recently predicted that within

2010
01:38:39,612 --> 01:38:41,572
Speaker 2: the next ten to twenty years, advances in AI and

2011
01:38:41,692 --> 01:38:44,772
Speaker 2: robots will make it so that working will be optional.

2012
01:38:45,013 --> 01:38:47,372
Speaker 2: Here so you said, a future where artificial intelligence robots

2013
01:38:47,372 --> 01:38:50,293
Speaker 2: will handle most essential label, transforming employment into a personal

2014
01:38:50,372 --> 01:38:55,333
Speaker 2: choice rather than a necessity. So we were talking before

2015
01:38:55,372 --> 01:38:59,892
Speaker 2: about if the value of human work tends towards zero,

2016
01:39:01,412 --> 01:39:06,052
Speaker 2: then there would have to be a universal basic income

2017
01:39:06,293 --> 01:39:09,532
Speaker 2: that's paid out by the economy, which would be by

2018
01:39:09,572 --> 01:39:11,292
Speaker 2: the government to all the citizens.

2019
01:39:11,412 --> 01:39:13,613
Speaker 3: Yes, and I think they would be terrible.

2020
01:39:13,412 --> 01:39:15,572
Speaker 2: Because you look at people that are on the unemployment benefit.

2021
01:39:16,412 --> 01:39:19,612
Speaker 2: There's nothing SAPs the soul more than being sitting on

2022
01:39:19,652 --> 01:39:21,093
Speaker 2: an unemployment benefit and having a job.

2023
01:39:21,173 --> 01:39:23,173
Speaker 4: Yeah, where with that ambition come from? But in terms

2024
01:39:23,213 --> 01:39:25,412
Speaker 4: of someone has a beach house now, and then the

2025
01:39:25,452 --> 01:39:27,213
Speaker 4: robots take over and that person gets to keep the

2026
01:39:27,253 --> 01:39:29,652
Speaker 4: beach house, that might make some people upset, But I

2027
01:39:29,692 --> 01:39:34,693
Speaker 4: think in that instance there's a difference between communistic society

2028
01:39:34,772 --> 01:39:37,333
Speaker 4: and the ability to have that freedom to pursue what

2029
01:39:37,452 --> 01:39:39,732
Speaker 4: you want to pursue. And I think for a lot

2030
01:39:39,812 --> 01:39:42,532
Speaker 4: of people, does happiness really come from a beach house.

2031
01:39:42,572 --> 01:39:45,812
Speaker 3: Absolutely it would. And there's human condition, a human competition

2032
01:39:45,893 --> 01:39:48,572
Speaker 3: built into the human condition, so we always want to

2033
01:39:48,612 --> 01:39:51,852
Speaker 3: be competing against others to be on the top of

2034
01:39:51,853 --> 01:39:54,093
Speaker 3: the food chain. I understand that, But I just think

2035
01:39:54,133 --> 01:39:57,532
Speaker 3: in such a radically different future, we may look to

2036
01:39:57,772 --> 01:40:02,172
Speaker 3: pursue making music, for example, and that if you upskill

2037
01:40:02,213 --> 01:40:05,412
Speaker 3: in those things that bring human connection and value, then

2038
01:40:05,452 --> 01:40:08,293
Speaker 3: that might be where that new ambition and competition lies.

2039
01:40:08,452 --> 01:40:10,253
Speaker 2: Yeah, but my problem is, and this is what's happened

2040
01:40:10,253 --> 01:40:13,772
Speaker 2: whenever they tried to implement Marxism, the idea that everyone

2041
01:40:13,973 --> 01:40:16,572
Speaker 2: just works for the people and not for themselves and

2042
01:40:16,612 --> 01:40:18,852
Speaker 2: for the good of the whole country never works out,

2043
01:40:18,893 --> 01:40:20,812
Speaker 2: because people always want what someone else has got, and

2044
01:40:20,812 --> 01:40:23,812
Speaker 2: they always feel like it's unfair. Right, So if you're

2045
01:40:23,853 --> 01:40:25,972
Speaker 2: living the same life and someone's got a better house

2046
01:40:25,973 --> 01:40:28,372
Speaker 2: than you, then you'll want that house, even if your

2047
01:40:28,372 --> 01:40:30,772
Speaker 2: life is pretty good. We always compare ourselves to the other.

2048
01:40:31,412 --> 01:40:34,692
Speaker 2: I mean, thou shalt not cover it, right, Yeah, that's

2049
01:40:34,692 --> 01:40:37,692
Speaker 2: why it's one of the Ten commandments, because it is

2050
01:40:37,893 --> 01:40:42,532
Speaker 2: a human problem. Whatever we've got, if someone's got slightly

2051
01:40:42,612 --> 01:40:45,572
Speaker 2: more than it than us, then we want it. And

2052
01:40:45,692 --> 01:40:49,732
Speaker 2: so if all things being equal, all the work's being

2053
01:40:49,772 --> 01:40:52,692
Speaker 2: done with the robot, then the person that lives slightly

2054
01:40:52,772 --> 01:40:55,293
Speaker 2: up the higher up the hill, you want their house.

2055
01:40:56,853 --> 01:41:01,532
Speaker 2: You'll just want it. And unfortunately, wish humans were better

2056
01:41:01,572 --> 01:41:03,772
Speaker 2: than this, but we're not. We just want what other

2057
01:41:03,812 --> 01:41:06,173
Speaker 2: people have got and we want everything to be We'll

2058
01:41:06,173 --> 01:41:09,253
Speaker 2: go that's unfair, Why has he got that house. I'm

2059
01:41:09,293 --> 01:41:11,173
Speaker 2: going to get my robots together to go up there

2060
01:41:11,213 --> 01:41:13,333
Speaker 2: and take that house off them. Yeah, and then and

2061
01:41:13,372 --> 01:41:14,253
Speaker 2: then it'll be conflict.

2062
01:41:14,333 --> 01:41:17,613
Speaker 4: Right, But that drives very important for the progress of humanity.

2063
01:41:17,652 --> 01:41:22,492
Speaker 4: But wouldn't that drive then transition into what people then want,

2064
01:41:22,772 --> 01:41:25,572
Speaker 4: So like, for example, someone who can paint art or

2065
01:41:25,652 --> 01:41:28,612
Speaker 4: draw or make music, So that then becomes the way

2066
01:41:28,652 --> 01:41:29,972
Speaker 4: that you get to the top of the food chain.

2067
01:41:30,053 --> 01:41:31,093
Speaker 3: You become very good.

2068
01:41:31,213 --> 01:41:34,652
Speaker 2: Everyone's the same, everyone's looked after by the robots. It's

2069
01:41:34,692 --> 01:41:39,293
Speaker 2: different from communism because in communism what happens as no

2070
01:41:39,333 --> 01:41:43,452
Speaker 2: one does anything and everyone starves, and the government sensors

2071
01:41:43,492 --> 01:41:48,013
Speaker 2: and basically has to put the boot down on your

2072
01:41:48,053 --> 01:41:52,933
Speaker 2: head to make you stay in line from natural human desires.

2073
01:41:53,013 --> 01:41:54,692
Speaker 3: Yeah, corruption, that's why.

2074
01:41:54,612 --> 01:41:58,492
Speaker 2: It always ends up a disaster. That's why ask yourself,

2075
01:41:58,492 --> 01:42:00,173
Speaker 2: would you rather live in Carea or North Korea?

2076
01:42:00,253 --> 01:42:01,772
Speaker 3: Yeah? Yeah, easy one.

2077
01:42:01,973 --> 01:42:06,053
Speaker 2: But in this case, everyone's fine, everyone's still free. But

2078
01:42:06,253 --> 01:42:08,973
Speaker 2: you want to live up the hill. You learn to

2079
01:42:08,973 --> 01:42:11,612
Speaker 2: play the piano such that people come around to your

2080
01:42:11,612 --> 01:42:14,452
Speaker 2: house and give you a bit more exactly, on top

2081
01:42:14,492 --> 01:42:15,732
Speaker 2: of the universal based again.

2082
01:42:15,572 --> 01:42:18,333
Speaker 3: So you've still got that human competition element. Eric, how

2083
01:42:18,333 --> 01:42:20,173
Speaker 3: are you there?

2084
01:42:20,253 --> 01:42:20,412
Speaker 21: Game?

2085
01:42:20,492 --> 01:42:20,852
Speaker 13: Guys?

2086
01:42:20,973 --> 01:42:21,892
Speaker 3: Very good? What do you reckon?

2087
01:42:22,812 --> 01:42:24,612
Speaker 13: It's kind of talking about what I do?

2088
01:42:25,412 --> 01:42:26,532
Speaker 2: Okay, what do you do?

2089
01:42:26,612 --> 01:42:30,173
Speaker 13: I'm a musician that went through the whole COVID thing

2090
01:42:30,253 --> 01:42:34,933
Speaker 13: and count a new way of making money out of

2091
01:42:34,933 --> 01:42:37,253
Speaker 13: the music industry by teaching other people what I know.

2092
01:42:37,372 --> 01:42:40,692
Speaker 13: So the casic case exactly.

2093
01:42:43,492 --> 01:42:43,972
Speaker 2: Yeah, So.

2094
01:42:45,812 --> 01:42:47,572
Speaker 13: I'm not scared of AI because I use it all

2095
01:42:47,572 --> 01:42:49,053
Speaker 13: the time. I use it my music business, so I

2096
01:42:49,173 --> 01:42:53,372
Speaker 13: use it to help me write songs, or produce things,

2097
01:42:53,532 --> 01:42:57,772
Speaker 13: or help people or solve Definitely, A use deputy check

2098
01:42:57,893 --> 01:43:00,052
Speaker 13: all the time to solve issues that I can't solve

2099
01:43:00,133 --> 01:43:04,812
Speaker 13: unless I actually I would have to go and possibly

2100
01:43:04,812 --> 01:43:07,612
Speaker 13: get someone to come around here and pay them through

2101
01:43:07,692 --> 01:43:10,133
Speaker 13: four hundred dollars to try and solve the problem. So

2102
01:43:11,933 --> 01:43:13,772
Speaker 13: you know, I use I use it all the time.

2103
01:43:13,812 --> 01:43:17,333
Speaker 13: I've taken on boards as my partner and our fine.

2104
01:43:17,372 --> 01:43:19,612
Speaker 13: It's I don't think we should be scared of what

2105
01:43:19,652 --> 01:43:22,652
Speaker 13: we should embrace it, and the more we embrace it

2106
01:43:22,732 --> 01:43:26,133
Speaker 13: and engage with it, the more we understand it.

2107
01:43:28,333 --> 01:43:31,492
Speaker 2: How would you feel if you know, right now you

2108
01:43:31,532 --> 01:43:34,372
Speaker 2: can use it, it's convenient for you to use it.

2109
01:43:34,812 --> 01:43:38,692
Speaker 2: But how would you feel if everything was being done

2110
01:43:38,732 --> 01:43:41,213
Speaker 2: by AI, the electricity was being producibly.

2111
01:43:41,333 --> 01:43:45,612
Speaker 13: I think that's completely after rubbish. Like I grew up

2112
01:43:45,652 --> 01:43:49,053
Speaker 13: in the you know, I'm around fifty eight years old,

2113
01:43:49,213 --> 01:43:51,612
Speaker 13: so I was born in sixty seven. You know, I've

2114
01:43:51,612 --> 01:43:54,572
Speaker 13: gone through some massive changes in my life. I remember

2115
01:43:54,612 --> 01:43:57,772
Speaker 13: in the eighties we had these exact conversations the ones

2116
01:43:57,812 --> 01:44:00,852
Speaker 13: you're having today. There were the conversations went around with

2117
01:44:00,893 --> 01:44:04,333
Speaker 13: everybody that computers were going to wreck everything and destroy

2118
01:44:04,452 --> 01:44:06,772
Speaker 13: the world and no one would have any jobs. And

2119
01:44:06,933 --> 01:44:10,852
Speaker 13: you know, honestly, you know, most people use the computer,

2120
01:44:10,933 --> 01:44:13,213
Speaker 13: will know how to use it, use the internet. These

2121
01:44:13,253 --> 01:44:16,212
Speaker 13: conversations have you had over and over with human.

2122
01:44:16,093 --> 01:44:18,372
Speaker 2: Beings fifteen years ago? Though, if someone said that you

2123
01:44:18,372 --> 01:44:20,492
Speaker 2: could talk to your computer and it would talk back

2124
01:44:20,532 --> 01:44:22,333
Speaker 2: to you and you'd have a conversation like you do

2125
01:44:22,412 --> 01:44:25,133
Speaker 2: with chat GPT, would you have believed that.

2126
01:44:26,213 --> 01:44:30,932
Speaker 13: Absolutely not absolutely no. I would have been completely astutely

2127
01:44:30,973 --> 01:44:33,173
Speaker 13: think it's just fantasy. Right back in the day, we

2128
01:44:33,213 --> 01:44:36,093
Speaker 13: didn't even have cell phones, so the fact that you

2129
01:44:36,213 --> 01:44:38,293
Speaker 13: might be able to see someone on your cell phone

2130
01:44:38,492 --> 01:44:40,372
Speaker 13: and I see them while talking to them was was

2131
01:44:40,572 --> 01:44:43,812
Speaker 13: an absolute pipe dream, you know, like that will just

2132
01:44:43,853 --> 01:44:44,812
Speaker 13: never happen, But it did.

2133
01:44:45,173 --> 01:44:47,852
Speaker 2: So you can you see with the you know how

2134
01:44:47,893 --> 01:44:50,253
Speaker 2: we started this conversation with how cheap robots are about

2135
01:44:50,253 --> 01:44:52,852
Speaker 2: to get and how the brains have been supplied for them.

2136
01:44:53,532 --> 01:44:57,172
Speaker 2: Can you not see that, say, in ten fifteen years

2137
01:44:57,213 --> 01:44:59,933
Speaker 2: from now, robots might be doing things, and not just

2138
01:45:00,053 --> 01:45:03,452
Speaker 2: humanoid looking robots, but robots in all different shapes and sizes,

2139
01:45:03,532 --> 01:45:05,452
Speaker 2: like you don't need to have a human going do

2140
01:45:05,532 --> 01:45:10,253
Speaker 2: that the exact shape robot to do the fencing and

2141
01:45:10,293 --> 01:45:12,372
Speaker 2: to look after the livestock and to slaughter the livestock

2142
01:45:12,412 --> 01:45:14,772
Speaker 2: and for the feed. Can you not imagine in ten

2143
01:45:14,893 --> 01:45:19,452
Speaker 2: fifteen years what you can't even imagine could happen again?

2144
01:45:19,812 --> 01:45:22,492
Speaker 13: Oh yeah, I mean, hey, look there's negatives with everything,

2145
01:45:22,532 --> 01:45:24,013
Speaker 13: but I mean, if very much just going to go

2146
01:45:24,013 --> 01:45:30,253
Speaker 13: on about the negatives with the invention of technology, we'll

2147
01:45:30,333 --> 01:45:35,852
Speaker 13: never evolve as human beings. So yeah, okay. You know,

2148
01:45:35,933 --> 01:45:37,372
Speaker 13: back in the day when I was at school, I

2149
01:45:37,372 --> 01:45:40,013
Speaker 13: was asked that same question by my school teacher, how

2150
01:45:40,053 --> 01:45:43,172
Speaker 13: would you ever imagine? I want you to imagine the future,

2151
01:45:43,532 --> 01:45:45,933
Speaker 13: and I want your kids to draw. This is in

2152
01:45:45,973 --> 01:45:49,253
Speaker 13: the nineteen early ninety seventies. I still remember. I've forgot

2153
01:45:49,293 --> 01:45:53,213
Speaker 13: a drawing of it, aren't you? And is it? And

2154
01:45:53,333 --> 01:45:55,612
Speaker 13: teacher said to me, I want you to imagine the

2155
01:45:55,652 --> 01:45:57,973
Speaker 13: future and what it might be. And you know what

2156
01:45:58,013 --> 01:46:01,772
Speaker 13: I drew. I drew a washing machine with arms and

2157
01:46:01,853 --> 01:46:07,213
Speaker 13: legs onto it. I've got it, I've got it. I've

2158
01:46:07,253 --> 01:46:10,852
Speaker 13: got it here still. And you know the machine washing

2159
01:46:10,853 --> 01:46:12,093
Speaker 13: machines was the.

2160
01:46:12,093 --> 01:46:15,093
Speaker 2: Washing machine using its arms and legs to wash or

2161
01:46:15,133 --> 01:46:18,612
Speaker 2: was it washing but walking around being human like with

2162
01:46:18,652 --> 01:46:19,613
Speaker 2: the arms and legs.

2163
01:46:20,133 --> 01:46:22,732
Speaker 13: Well, now it was actually because you know, I could

2164
01:46:22,812 --> 01:46:25,133
Speaker 13: grow up with my mum and I have to do

2165
01:46:25,173 --> 01:46:27,572
Speaker 13: the washing, and we had to use an old ring

2166
01:46:27,612 --> 01:46:29,692
Speaker 13: a washing machine, and we had to bring the clothes

2167
01:46:29,692 --> 01:46:31,053
Speaker 13: out and stay and there was all tubs you had

2168
01:46:31,053 --> 01:46:33,492
Speaker 13: to rinse them. So I was still that whole process, right,

2169
01:46:33,772 --> 01:46:36,772
Speaker 13: And so in my head I didn't know about computers

2170
01:46:36,812 --> 01:46:39,173
Speaker 13: that there wasn't even something we even thought about. But

2171
01:46:39,333 --> 01:46:42,133
Speaker 13: in my head, you know, we thought about robots and

2172
01:46:42,692 --> 01:46:44,532
Speaker 13: arms and eggs come out of washing machines and that

2173
01:46:44,652 --> 01:46:46,452
Speaker 13: and that to do the thing with pulling the washing

2174
01:46:46,492 --> 01:46:48,532
Speaker 13: over and putting over there. And you know, so I

2175
01:46:48,612 --> 01:46:50,492
Speaker 13: drew the arms and legs on the washing machine so

2176
01:46:50,532 --> 01:46:52,772
Speaker 13: it could actually do its own thing. But of course,

2177
01:46:53,053 --> 01:46:56,652
Speaker 13: about ten years later, automatic washing machines came in and

2178
01:46:56,692 --> 01:47:00,372
Speaker 13: my mum brought one. So you know that's what I mean.

2179
01:47:00,452 --> 01:47:03,253
Speaker 13: We can always fear the future, or we can embrace

2180
01:47:03,333 --> 01:47:05,253
Speaker 13: it and go, what are the good things that could

2181
01:47:05,253 --> 01:47:07,173
Speaker 13: come up? Yes, there's going to be Look, there are

2182
01:47:07,253 --> 01:47:09,732
Speaker 13: going to be some sides of it, and it depends

2183
01:47:09,732 --> 01:47:12,972
Speaker 13: who gets hold of you know certain technologies and how

2184
01:47:12,973 --> 01:47:15,333
Speaker 13: they use it. But I think if we engage it,

2185
01:47:15,412 --> 01:47:17,973
Speaker 13: we could use it to better health. I mean we

2186
01:47:18,013 --> 01:47:20,213
Speaker 13: can have safer operations.

2187
01:47:20,572 --> 01:47:22,933
Speaker 2: You get on you on your ground. Yeah, well, I

2188
01:47:22,973 --> 01:47:25,572
Speaker 2: mean bring on the day when my washing machine has

2189
01:47:25,652 --> 01:47:26,133
Speaker 2: arms and legs.

2190
01:47:26,213 --> 01:47:27,932
Speaker 3: Ye, I'd buy one and can come in and give me.

2191
01:47:27,893 --> 01:47:30,253
Speaker 2: A massage after it start done my washing.

2192
01:47:30,412 --> 01:47:32,093
Speaker 3: How good? All right? Begary shortly?

2193
01:47:32,133 --> 01:47:36,012
Speaker 1: It is a good defor your home of afternoon talk

2194
01:47:36,293 --> 01:47:39,732
Speaker 1: Matt Heath and Tyler Adam's Afternoons with Skoda?

2195
01:47:40,093 --> 01:47:42,293
Speaker 10: Can you crack the Scoda code news talks?

2196
01:47:42,333 --> 01:47:46,053
Speaker 3: They'd be afternoons some great texts coming through this.

2197
01:47:46,213 --> 01:47:49,813
Speaker 2: Texas says most callers are opinionated from their prior life experience,

2198
01:47:49,853 --> 01:47:52,093
Speaker 2: not appreciating that. For example, Apple is now working on

2199
01:47:52,173 --> 01:47:54,333
Speaker 2: AI that reads your lips and body language as well

2200
01:47:54,333 --> 01:47:56,013
Speaker 2: as your face to think about what the human is

2201
01:47:56,053 --> 01:48:00,253
Speaker 2: thinking and doing. Robots will tell humans what to do eventually. Yeah,

2202
01:48:00,253 --> 01:48:04,133
Speaker 2: that I think that's the thing that people go, Well,

2203
01:48:04,173 --> 01:48:06,052
Speaker 2: in the past, we said this kind of thing would happen.

2204
01:48:06,093 --> 01:48:07,652
Speaker 2: But just because in the past we said this kind

2205
01:48:07,692 --> 01:48:09,612
Speaker 2: of thing would have happen and it didn't happen, doesn't

2206
01:48:09,652 --> 01:48:12,932
Speaker 2: mean that it won't now. I mean you seriously wouldn't

2207
01:48:12,933 --> 01:48:15,412
Speaker 2: believe some of the things that are happening, like the

2208
01:48:15,532 --> 01:48:20,173
Speaker 2: you you know, AirPods that can translate from a different

2209
01:48:20,253 --> 01:48:22,772
Speaker 2: language into yours in real time. Incredible, No, I mean

2210
01:48:22,772 --> 01:48:26,493
Speaker 2: that was sort of a sci fi joke and Hatchhiker's

2211
01:48:26,492 --> 01:48:27,333
Speaker 2: Guide to the Galaxy.

2212
01:48:27,412 --> 01:48:27,612
Speaker 3: Yeah.

2213
01:48:27,652 --> 01:48:31,132
Speaker 2: With the Babelfish, very hard to predict what their technology

2214
01:48:31,173 --> 01:48:34,692
Speaker 2: is going to do. If Robert's takeover, humans will become obsolete.

2215
01:48:34,732 --> 01:48:37,932
Speaker 2: We only we will only be used as pawns by

2216
01:48:37,933 --> 01:48:40,572
Speaker 2: government for any future wars. Very depressing. The internet will

2217
01:48:40,652 --> 01:48:42,852
Speaker 2: end up destroying humanity. We might not even be asked

2218
01:48:42,893 --> 01:48:43,892
Speaker 2: to be involved in the wars.

2219
01:48:44,173 --> 01:48:45,052
Speaker 3: Seeing the robots.

2220
01:48:45,173 --> 01:48:49,373
Speaker 2: Seeing the robots, there is always one industry that historically

2221
01:48:49,412 --> 01:48:52,333
Speaker 2: never failed. We had this conversation as a family over

2222
01:48:52,333 --> 01:48:54,372
Speaker 2: the weekend, and we all think the sex trade will

2223
01:48:54,412 --> 01:48:56,972
Speaker 2: still boom. It's an interesting chat for the family to have.

2224
01:48:57,973 --> 01:49:00,372
Speaker 4: Around the dat disabled kids. So let's talk about the

2225
01:49:00,372 --> 01:49:01,732
Speaker 4: sex industry.

2226
01:49:01,973 --> 01:49:02,253
Speaker 8: I don't know.

2227
01:49:02,333 --> 01:49:06,532
Speaker 2: I reckon, I reckon sex bots. I reckon I can

2228
01:49:06,732 --> 01:49:10,452
Speaker 2: envision sexpots some other kind of bote I can see

2229
01:49:10,853 --> 01:49:16,772
Speaker 2: six bots before I can see full the operational underwater

2230
01:49:16,812 --> 01:49:17,452
Speaker 2: mining bots.

2231
01:49:17,532 --> 01:49:19,372
Speaker 3: Yeah. I think there's a big market for it out there.

2232
01:49:20,173 --> 01:49:21,333
Speaker 2: Stan, welcome to the show.

2233
01:49:24,612 --> 01:49:32,372
Speaker 23: Once your economics there is zero. Yes, he's familiar with.

2234
01:49:35,333 --> 01:49:37,572
Speaker 4: Oh now we're just struggling to hear bit standing you

2235
01:49:37,612 --> 01:49:38,372
Speaker 4: on a speaker phone.

2236
01:49:38,412 --> 01:49:39,932
Speaker 3: If you can come off that, that'll be golden.

2237
01:49:41,772 --> 01:49:46,532
Speaker 23: That's beautiful there, okay. Georgia guidestones, you've heard of them?

2238
01:49:46,893 --> 01:49:47,173
Speaker 2: What's that?

2239
01:49:47,293 --> 01:49:50,092
Speaker 3: Sorry, the Georgia guidestones. I haven't, I haven't.

2240
01:49:51,133 --> 01:49:53,612
Speaker 23: Okay, these these are this was like a one of

2241
01:49:53,692 --> 01:49:57,532
Speaker 23: us that appeared in Georgia and had a whole lot

2242
01:49:57,532 --> 01:50:02,652
Speaker 23: of sort of goals or aspirations for humanity on them.

2243
01:50:02,652 --> 01:50:06,372
Speaker 23: Nobody knows who put that, who put it there? It's

2244
01:50:06,372 --> 01:50:09,253
Speaker 23: suns actually disappeared with the for years and years and

2245
01:50:09,253 --> 01:50:10,652
Speaker 23: people will specially.

2246
01:50:10,893 --> 01:50:13,812
Speaker 2: One of the documentary on these, yes, okay.

2247
01:50:14,293 --> 01:50:18,893
Speaker 23: One of the aspirations was for an ideal of population.

2248
01:50:19,133 --> 01:50:22,932
Speaker 23: Sustainable population for the world was five hundred million people.

2249
01:50:24,853 --> 01:50:29,612
Speaker 23: You know, once your economic value is zero, why are

2250
01:50:29,692 --> 01:50:33,133
Speaker 23: the elites who run the AI and they will run

2251
01:50:33,173 --> 01:50:38,052
Speaker 23: the government too, because all the tax, all the money,

2252
01:50:38,093 --> 01:50:40,532
Speaker 23: all the revenue government review will be coming from those

2253
01:50:41,173 --> 01:50:44,652
Speaker 23: those elites who control the AI. Why are they going

2254
01:50:44,692 --> 01:50:46,412
Speaker 23: to keep all the useless interest all out?

2255
01:50:48,492 --> 01:50:50,253
Speaker 2: Yeah, I mean I mean if all the money and

2256
01:50:50,253 --> 01:50:53,412
Speaker 2: all the economy is in the hands of say fifty

2257
01:50:53,452 --> 01:50:55,893
Speaker 2: people or the first people to make the robots in

2258
01:50:55,933 --> 01:50:59,253
Speaker 2: this level, then there will be a battle that will

2259
01:50:59,293 --> 01:51:01,812
Speaker 2: be either that or will I mean.

2260
01:51:02,692 --> 01:51:05,053
Speaker 23: Well will It will be a very one sided back

2261
01:51:06,093 --> 01:51:10,053
Speaker 23: as somebody mentioned before it and took out sort of spots.

2262
01:51:10,412 --> 01:51:15,093
Speaker 23: Interesting little video somebody put together on YouTube. I mean,

2263
01:51:15,173 --> 01:51:18,612
Speaker 23: that's that's quite a scary future where you know, you

2264
01:51:18,612 --> 01:51:21,812
Speaker 23: can be eliminated to site depending on what cust of

2265
01:51:21,893 --> 01:51:23,213
Speaker 23: people they just want to get.

2266
01:51:23,333 --> 01:51:25,972
Speaker 2: Hm hm, I mean it's terrifying. I mean that Black

2267
01:51:25,973 --> 01:51:28,253
Speaker 2: Marry episode with the little dog that's chasing those people.

2268
01:51:28,253 --> 01:51:30,532
Speaker 2: There's no story, but it's an AI dog with a

2269
01:51:30,532 --> 01:51:32,932
Speaker 2: gun on the top on its back. It is possible

2270
01:51:32,973 --> 01:51:35,213
Speaker 2: to escape and just chasing and chasing and chasing until

2271
01:51:35,213 --> 01:51:35,932
Speaker 2: it shoots you down.

2272
01:51:36,013 --> 01:51:38,333
Speaker 3: Yeah, climbed up trees. It would never switch off.

2273
01:51:38,372 --> 01:51:41,572
Speaker 2: I mean, it's all Uturpian until someone decides to send

2274
01:51:41,612 --> 01:51:44,972
Speaker 2: in the dog slaughter bots.

2275
01:51:45,133 --> 01:51:45,333
Speaker 15: Yeah.

2276
01:51:45,452 --> 01:51:47,772
Speaker 4: Yeah, right, So we're going to take a break, but

2277
01:51:47,812 --> 01:51:49,452
Speaker 4: we will be back with a few more texts.

2278
01:51:49,492 --> 01:51:50,772
Speaker 3: It is eight minutes to four.

2279
01:51:51,372 --> 01:51:54,852
Speaker 1: The big stories, the big issues, the big trends, and

2280
01:51:55,093 --> 01:51:56,092
Speaker 1: everything in between.

2281
01:51:56,293 --> 01:52:00,372
Speaker 10: Matt Heath and Tayler Adams Afternoons, Used Talks, b News

2282
01:52:00,412 --> 01:52:04,692
Speaker 10: talks there be it is five to four Matt and Tyler.

2283
01:52:05,013 --> 01:52:07,412
Speaker 2: What most of your callers don't understand is that you

2284
01:52:07,452 --> 01:52:09,852
Speaker 2: can't print money to prop up an economy. It must

2285
01:52:09,853 --> 01:52:12,932
Speaker 2: be earned tax then spent to benefit everyone in society.

2286
01:52:12,973 --> 01:52:15,812
Speaker 2: That's the basics of an economy. AI and robots will

2287
01:52:15,853 --> 01:52:20,133
Speaker 2: quickly destroy this. Then what people with no purpose just

2288
01:52:20,452 --> 01:52:23,253
Speaker 2: a will to create trouble. So that is my concern.

2289
01:52:23,652 --> 01:52:26,652
Speaker 2: The utapa that everyone will just be making weaving baskets

2290
01:52:26,652 --> 01:52:29,492
Speaker 2: in the backguard and holding hands, sitting around with acoustic

2291
01:52:29,532 --> 01:52:33,932
Speaker 2: guitars singing. I think it'll be more likely we will

2292
01:52:34,253 --> 01:52:39,772
Speaker 2: be marauding around committing horrific crimes. This text has said,

2293
01:52:39,772 --> 01:52:41,532
Speaker 2: why do you think the robots will be cheap? How

2294
01:52:41,532 --> 01:52:45,213
Speaker 2: do you think Musk will earn his obscene salary? Well,

2295
01:52:45,293 --> 01:52:49,173
Speaker 2: the thing is, as we started this chat all that

2296
01:52:49,213 --> 01:52:52,532
Speaker 2: time ago, they were saying that the price of the

2297
01:52:52,612 --> 01:52:55,612
Speaker 2: robot brains have gone from twenty five thousand to two cents.

2298
01:52:56,093 --> 01:52:59,173
Speaker 2: So if they can do that, then robots will take

2299
01:52:59,173 --> 01:52:59,732
Speaker 2: that to Zerra.

2300
01:52:59,812 --> 01:53:01,653
Speaker 3: Yeah, exactly, it's the argument.

2301
01:53:01,732 --> 01:53:04,372
Speaker 2: And therefore, robots can make, robots can fix, robots can

2302
01:53:04,692 --> 01:53:07,213
Speaker 2: mine the things they need to fix mobots, except all

2303
01:53:07,213 --> 01:53:09,692
Speaker 2: of a sudden, there's no value and human work. It's

2304
01:53:09,692 --> 01:53:11,692
Speaker 2: been a fantastic discussion.

2305
01:53:11,293 --> 01:53:11,572
Speaker 3: Has it.

2306
01:53:11,692 --> 01:53:11,772
Speaker 9: What?

2307
01:53:11,973 --> 01:53:13,852
Speaker 3: Yeah, we could do this for four hours, but what

2308
01:53:13,893 --> 01:53:14,532
Speaker 3: a great chat.

2309
01:53:15,492 --> 01:53:18,692
Speaker 4: Now a big evening tonight in a real live appearance,

2310
01:53:18,772 --> 01:53:22,093
Speaker 4: the acclaimed Harvard cognitive psychologist Stephen Pinker will share his

2311
01:53:22,173 --> 01:53:25,173
Speaker 4: insights at the Bruce Mason Center and Matt Heath you'll

2312
01:53:25,213 --> 01:53:25,772
Speaker 4: be hosting.

2313
01:53:25,933 --> 01:53:27,412
Speaker 3: That's going to be a fantastic evening.

2314
01:53:27,692 --> 01:53:31,732
Speaker 2: I think there's still tickets at thinkable dot events. Just

2315
01:53:31,812 --> 01:53:35,172
Speaker 2: a few, all right, we're running out of time very quickly. Yes,

2316
01:53:35,253 --> 01:53:37,012
Speaker 2: thank you so much for listening everyone. We'll be back.

2317
01:53:36,933 --> 01:53:40,772
Speaker 1: Tomorrow live for more from news Talks at b Listen

2318
01:53:40,812 --> 01:53:43,812
Speaker 1: live on air or online, and keep our shows with

2319
01:53:43,893 --> 01:53:47,053
Speaker 1: you wherever you go with our podcasts on iHeartRadio