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Speaker 1: You're listening to a podcast from News Talk sed B.

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

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Speaker 2: Hell you, Great new Zinalds, And welcome to mattin Tyler

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Speaker 2: Afternoons podcast number one hundred and twelve for Monday, the

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Speaker 2: twenty eighth of April. Fantastic show Huge. I've changed the

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Speaker 2: name of it from the Mett and Tyler Afternoons to

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Speaker 2: Matt and Jerry Afternoons because I think it rolls off

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Speaker 2: the tongue. It got totter, and so that'll be the

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Speaker 2: name of the show going forward. Had some interesting chats

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Speaker 2: about meetings with celebrities, and we'll give you the skinny

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Speaker 2: on whether King Charles's hands were fat like sausages in

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Speaker 2: twenty twelve.

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Speaker 3: Yep, I think you'll be surprised by the answer to

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Speaker 3: that one.

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Speaker 2: Apart from that bunch of great AI chat that went

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Speaker 2: to a really interesting place and I enjoyed that. So

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Speaker 2: set to download, follow and such and taste giving love

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Speaker 2: you all right.

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Speaker 1: Big stories, the Baker issues, the big trends and everything

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Speaker 1: in between. Matt Heath and Taylor Adams Afternoons News Talk said.

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Speaker 4: Be.

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Speaker 3: Well, good afternoon to you. Welcome into the program. Good

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Speaker 3: to be back after a bit of a break it

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Speaker 3: I met.

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Speaker 2: Yeah, a lot of people have been had a little

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Speaker 2: bit of a break haven. They Yeah, it seems to

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Speaker 2: be a lot of people out and about. When I

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Speaker 2: was traveling around the country holiday and I was in Topaul,

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Speaker 2: What a beautiful town that is. Also I went to Corimandeltown.

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Speaker 3: Did what was going on in the Corimandel.

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Speaker 5: Oh.

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Speaker 2: I got some mates that have a place up there.

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Speaker 2: It was beautiful. Have you heard of the Driving Creek Railway?

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Speaker 3: I have not.

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Speaker 2: So there was a sky called Barry Bricknell. Barry Brickle

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Speaker 2: who was a potter who decided that he wanted that

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Speaker 2: he needed to get clay from his property and you

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Speaker 2: know it wood down to run as kilm to do

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Speaker 2: his pottery. This is good, So he started building a railway.

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Speaker 2: And then he decided building a railway was incredibly cool.

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Speaker 2: So on his property he built ten bridges, three tunnels.

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Speaker 2: This this big railway and you can go up and

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Speaker 2: you can you can ride around on on Brickle's railway.

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Speaker 2: There's little stations that he's made and at the top

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Speaker 2: there's this thing called the Eiffel Tower, which is this

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Speaker 2: big tower that's look.

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Speaker 3: It's through beautiful native bush by the looks of it.

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Speaker 2: Oh yeah, he replanted a lot of the native bush.

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Speaker 2: But he's smashed this railway together with just basically his

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Speaker 2: hands and old bits of you know, old mining you know,

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Speaker 2: bits of iron from old mining places that he bought.

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Speaker 2: And some of the retaining walls are just wine bottles

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Speaker 2: and beer bottles smashed into the retaining wall to have it.

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Speaker 2: And you know he's buried on the on the track.

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Speaker 2: Actually when you go past, you wave it as little

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Speaker 2: his grave that he built for himself.

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Speaker 3: It is.

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Speaker 2: It is one of the coolest things that I have

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Speaker 2: ever seen, and I feel ridiculous that I've never heard

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Speaker 2: of it. So Bury Brickle, the story is incredible. If

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Speaker 2: you ever go to Coramandeltown, you've got to go to

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Speaker 2: the Driving Craig railway. It is. It is cool because

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Speaker 2: it's a story. When you're on it, it's a cool railway.

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Speaker 2: But the fact that this guy just ran around, this

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Speaker 2: crazy old potter ran around basically in the nude. Apparently

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Speaker 2: he was in the whole when he's doing it fair

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Speaker 2: enough to smashing it together and building all these viaducts

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Speaker 2: and bridges that are really high.

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Speaker 3: Incredible legion gets throng on around, but that man certainly

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Speaker 3: is a legend by the sounds. I have a look

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Speaker 3: at the video. Looks incredible. And as you know, Matt,

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Speaker 3: I had to go down back to christ Church to

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Speaker 3: hire a box truck to get the rest of our

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Speaker 3: stuff and do the trip back up north. And we

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Speaker 3: made it. Clearly, we made it without too many incidents.

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Speaker 3: But I've got to say I've got a new found

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Speaker 3: appreciation for truckers because this bear boy. It was pretty

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Speaker 3: good for most of the trip, but going up hills

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Speaker 3: were sluggish.

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Speaker 2: An your partner told me you crashed it into the

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Speaker 2: house when you got home.

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Speaker 3: Yeah, I said, I said, a little incidences, but yeah,

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Speaker 3: so no accidents until we got and can I say,

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Speaker 3: we're down the end of a long driveway and my

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Speaker 3: partner got out. We were doing everything right, so I said, Maeve,

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Speaker 3: just watch all the four corners of the truck for me.

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Speaker 3: Just tell me watch one's closest to the fence or

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Speaker 3: the other person's house. And she did that to be fair.

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Speaker 3: But the part that hit the house was the top

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Speaker 3: of the truck. I forgot that. It's about four menths high,

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Speaker 3: so right at the corner of the house, and I

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Speaker 3: was going about two k an hour, so I just

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Speaker 3: felt this way.

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Speaker 2: Yeah, the three dimensions of a truck can be complex.

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Speaker 6: Yeah.

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Speaker 3: Yeah, if the landlord was listening, it's all Good's we

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Speaker 3: got no damage, no structural damage, but we got there

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Speaker 3: Saturday days. It's all good. Right on to today's show.

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Speaker 3: After three o'clock a very fascinating post by Robbie Williams

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Speaker 3: on Instagram, and he effectively said that he struggles when

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Speaker 3: people come up to him and ask him for a selfie.

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Speaker 3: He struggles worth a bit of social anxiety from time

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Speaker 3: to time. He was in the US at this point,

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Speaker 3: and he mentions in the post he's not sidered famous

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Speaker 3: in the US, but even on this flight he'd got

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Speaker 3: approached about four times.

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Speaker 2: It's very compelling because your first reaction to something like

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Speaker 2: that is to go your famous, suck it up, what's

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Speaker 2: the big deal if you take a photo? But when

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Speaker 2: you read his story, you kind of start to understand

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Speaker 2: his point of view. So we want to talk about

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Speaker 2: should you should you go up and hassle famous people

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Speaker 2: for a photo?

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Speaker 3: Yeah, you know, yep, that's going to be a good chat.

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Speaker 3: After three o'clock, after two o'clock, what would you be

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Speaker 3: okay with AI taking over? A great story in the

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Speaker 3: Herald today about AI being utilized in therapy, but it

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Speaker 3: goes much further than that.

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Speaker 2: Yeah, it's pretty good at therapy, apparently, according to this

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Speaker 2: argument an article. I mean, if it's really serious, they

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Speaker 2: still claim you should go to a real therapist. But

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Speaker 2: apparently AI therapy is pretty good.

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Speaker 3: Yeah.

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Speaker 2: But it's also been claimed that robot surgeons will be

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Speaker 2: as good as human surgeons in a few years, and

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Speaker 2: better than the best surgeons within five years. This is

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Speaker 2: a claim that's being made. How comfortable would you be

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Speaker 2: with a robot surgeon? What about flying the pl flying

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Speaker 2: a plane not an autopilot, but you get on an

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Speaker 2: international flight and it is completely flown by AI, robot

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Speaker 2: or robot taxis. What about a ROBOTAXI taking your kids

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Speaker 2: to school? Because all the stuff is coming, But how

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Speaker 2: are you going to feel about it? For me, for

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Speaker 2: some reason, I think that surgery is a step too far.

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Speaker 2: I want a human to do the surgery on me.

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Speaker 2: But then again, you know famously some surgeons enjoy taking

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Speaker 2: myth and fetamine and huge amounts.

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Speaker 3: Yeah, exactly.

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Speaker 2: Robots don't do that.

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Speaker 3: No, they certainly don't. That is after two o'clock and

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Speaker 3: keen on your thoughts on that then. But right now,

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Speaker 3: let's have a chat about compulsory military training. Matthew Houtson

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Speaker 3: has penned an opinion piece in The Herald arguing that

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Speaker 3: the introduction of what he calls universal military service could

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Speaker 3: provide social, economic and fiscal benefits alongside increased defense investment

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Speaker 3: that is currently being made.

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Speaker 2: Yeah, that's right, military service and a sort of what

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Speaker 2: he's describing and slightly tongue in cheek what he's saying,

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Speaker 2: but it got me thinking. He's suggesting an outward bound

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Speaker 2: style training with military basics but focused on personal development,

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Speaker 2: and he believes it might help with New Zealand's persistent

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Speaker 2: underclass issue. You know, there's a huge economic drag and

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Speaker 2: a link to crime with a specific which military service

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Speaker 2: could help address. And additionally, a a trained population would

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Speaker 2: boost resilience against natural disasters as well as the military thing.

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Speaker 7: But it is.

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Speaker 2: Interesting how useless we are becoming. So I was talking

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Speaker 2: before about Barry Brickle, I throwing together that that rail

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Speaker 2: line amazing, human, incredible, incredible, that generation could do anything.

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Speaker 2: Look at Bruce McLaren. I watched the McLaren movie Over

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Speaker 2: the Over the Break for another time, the great Roger

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Speaker 2: Donaldson movie. McLaren and all his mates could throw together stuff.

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Speaker 2: They are incredibly competent people. We are not competent. We

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Speaker 2: have we're bringing. We are getting less and less competent

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Speaker 2: at the basics. And that's that's just assuming that our

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Speaker 2: life will continue to be the luxurious, luxurious pleasure dome

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Speaker 2: that it is now. But terrible things can happen. And

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Speaker 2: maybe you might push back against compulsory military service, but

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Speaker 2: surely you should be training your kids to be able

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Speaker 2: to survive in difficult circumstances.

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Speaker 3: It is fascinating that we live in an age where

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Speaker 3: whatever you want to do, whatever information you need in

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Speaker 3: your life, you can find it very easily. It's all

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Speaker 3: there on the internet to find if you want to

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Speaker 3: figure out how to do a bit of plumbing, if

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Speaker 3: you want to figure out how to sort your car out.

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Speaker 3: But you're right, for some reason, maybe it's too much

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Speaker 3: information that we're being bombarded with. All our kids are

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Speaker 3: being bombarded with that they can't figure out what is

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Speaker 3: actually practical what's not. Whereas this would narrow it down.

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Speaker 2: We are soft, spongy and useless. We're sitting just scrolling

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Speaker 2: through absolute rubbish on our phones. We watch people doing

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Speaker 2: impressive stuff, but we can't do it ourselves, and so

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Speaker 2: maybe universal military service would be a way to guarantee

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Speaker 2: that our population was at least vaguely practically competent going forward.

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Speaker 2: It would also foster national unity and social cohesion, according

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Speaker 2: to Matthew Houghton, combating social media driven division, and it

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Speaker 2: would probably strengthen cultural integration as well.

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Speaker 3: So if we're talking about a year of universal military

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Speaker 3: service for everybody to undertake over the age of eighteen

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Speaker 3: from this day fourth, then that's not a huge commitment,

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Speaker 3: isn't it.

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Speaker 2: Yeah, it wouldn't even if it be a year, it

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Speaker 2: could just be three months. It could be So it

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Speaker 2: got We came back in nineteen forty nine, there was

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Speaker 2: a referendum and there was a huge, huge positive response

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Speaker 2: to it, and the referendum got past easily landslide right,

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Speaker 2: But then it was removed in I think it was

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Speaker 2: in nineteen fifty eight. Compulsory military training was abolished, but

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Speaker 2: there were fourteen weeks full time intensive training.

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Speaker 3: Yeah, we could do that right, I'd be into it. Yeah,

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Speaker 3: And that's easy for me to say, because I don't

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Speaker 3: think I'd be rustled up to do a bit of

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Speaker 3: universal military training. I would have jumped at the chance

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Speaker 3: at eighteen.

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Speaker 2: Has anyone ever heard of someone that's been on the

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Speaker 2: outward bound courses and not come back and said it

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Speaker 2: was the most positive thing for their life, or someone

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Speaker 2: with kids. These kids have been on the outward bound

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Speaker 2: and have come back and said, oh, that was terrible

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Speaker 2: for my kid. I'm really annoyed that they went off

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Speaker 2: and did all those practical things and learned how to

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Speaker 2: be a proper human being that can actually function outside

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Speaker 2: of their bedroom.

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Speaker 3: Yeah, spot on, Oh, eight hundred eighty ten eighty is

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Speaker 3: the number to call. Do you see any fish shooks

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Speaker 3: with compulsory military training? Is it a good idea for

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Speaker 3: us to look at it?

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Speaker 2: Well, this text from Walks that starts off haha to

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Speaker 2: really today's muppets doing CMT. Yeah, dreaming they couldn't change

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Speaker 2: a light bulb let alone, load a mag and shoot

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Speaker 2: a high recoil rifle. Yeah, well maybe that's the point.

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Speaker 3: That's how you start to change it, when you get

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Speaker 3: them into a military style training academy. Then they'll start

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Speaker 3: to figure that stuff out.

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Speaker 2: Surely the problem is that the muppets. We can't imagine

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Speaker 2: the muppets doing it. That's exactly the reason why we

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Speaker 2: need some kind of something like this. Anyway, Oh, eight

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Speaker 2: hundred and eighty ten eighty a year again or a

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Speaker 2: year four.

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Speaker 3: It is sixteen past one. Back very surely you're listening

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Speaker 3: to Matton Tyler.

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Speaker 1: The big stories, the big issues, the big trends and

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Speaker 1: everything in between. Matt Heath and Tyler Adams afternoons used

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Speaker 1: talks that'd be.

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Speaker 3: Good afternoon, nineteen past one, and we're talking about the

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Speaker 3: idea of universal military training, compulsory military training, if you will.

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Speaker 3: Matthew Houghton, well known columnist and PR expert, pend to

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Speaker 3: piece on Antiic Day, saying we should absolutely look at

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Speaker 3: doing that.

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Speaker 2: And looking at him actually walking around, he could probably

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Speaker 2: do with some universal military service. But what he's describing

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Speaker 2: here is more of an outward bound style training with

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Speaker 2: military basics but focused on personal development. Surely that would

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Speaker 2: be a good thing. Surely competent young people that have

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Speaker 2: experienced more than just their phones would be would be

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Speaker 2: a good thing. But what do you think oh one

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Speaker 2: hundred eighty ten eighty eleanor welcome to the show.

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Speaker 8: Hello, good to see matt In Tyler. I went into

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Speaker 8: the UKLI when I was only seventeen. I not close

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Speaker 8: off my eighteenth Thursday. It was a bit impulsive at

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Speaker 8: the time that I was into my sport and I

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Speaker 8: started a course at college which wasn't the right course

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Speaker 8: for what I and wanted to end up being, and

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Speaker 8: I didn't want to be working doing a really dumb

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Speaker 8: drop job. I thought it would be a good opportunity

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Speaker 8: to just go and see the world a bit and

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Speaker 8: develop some skills, and that's exactly what it gave me.

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Speaker 8: I have absolutely no regrets that a couple I've picked

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Speaker 8: out as a potential officer pretty quickly and I ended

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Speaker 8: up seconded to the Royal Military Police, the Red.

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Speaker 4: Cats, and I had a whale of a.

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Speaker 8: Time on EXCI. I learned how to parisond, I was

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Speaker 8: taught how to scubadized are free. I played unlimited amounts

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Speaker 8: of squash and badminton, as well as running and stuff

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Speaker 8: like that, so I stuffed up my needs and all

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Speaker 8: in all I saved a lot of money and was

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Speaker 8: able to buy my own house before I was nineteen,

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Speaker 8: did you.

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Speaker 2: Choose to go and do this? So this was volunteer.

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Speaker 2: You volunteered at seventeen Coast to do it.

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Speaker 8: But I don't think that I don't think that it

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Speaker 8: would do anybody any harm, having experienced it myself. And

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Speaker 8: this f was back in the day when sargents shouted

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Speaker 8: at you the whole time. But I look around nowadays,

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Speaker 8: I am older, and I look around, I'm still working.

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Speaker 8: I'm older, and I look around at people when they're

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Speaker 8: wearing all these full nails and the full silashes, and

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Speaker 8: I think, oh, you wouldn't love them.

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Speaker 9: They love it.

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Speaker 8: You know you haven't got a clue. But I think

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Speaker 8: actually learning how to well getting fat, learning how to

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Speaker 8: look ass yourself, getting a job based on having an

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Speaker 8: exemplary army record is a big thing any of the sources.

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Speaker 8: If you've got an exemplary record when you come out,

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Speaker 8: it's like having a big kick of approval against your

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Speaker 8: name as being honest, hard working and innovative and the

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Speaker 8: way you think. You do a lot of problems solving,

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Speaker 8: you do a lot of team buildings stuff as well,

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Speaker 8: And I think there you develop heats of skills which

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Speaker 8: are just so useful, whether you're going to go on

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Speaker 8: into university or whether you want to go and do

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Speaker 8: a trade, become a trade, whatever you do. Illinois so

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Speaker 8: many different skills.

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Speaker 2: Illin said, before you know, you see some people and

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Speaker 2: you go you wouldn't be able to handle it. Is

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Speaker 2: there some people? Because we're all talking about it, it

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Speaker 2: would be great if people were all forced to do

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Speaker 2: military training outwould bound type course. But is there some

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Speaker 2: people that would just not get anything out of it

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Speaker 2: at all? That they're too for the want of better

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Speaker 2: the world useless and it would it would just not

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Speaker 2: work out in any positive way for them.

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Speaker 7: I don't know.

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Speaker 8: You look at some of these rebility TV programs, not

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Speaker 8: that I've ever watched the whole of one beat. You

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Speaker 8: see somebody getting shocked with insects and not being able

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Speaker 8: to have a shower every day on some sort of

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Speaker 8: island somewhere, feeling cold and hungry, and actually they come

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Speaker 8: out of it and they've changed by the end of it,

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Speaker 8: and they don't what they've done.

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Speaker 2: Yeah, well exactly, So a lot of people that would.

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Speaker 8: Have medical reasons not to do it. Yeah, but I

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Speaker 8: think even have got ADHD and some sort of hit

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Speaker 8: on the spectrum could actually benefit a lot from it.

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Speaker 2: Yeah, well think so much for your call, eleanor well,

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Speaker 2: what do you think do you think there's some form

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Speaker 2: of universal military service or compulsory military service along the

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Speaker 2: lines of an outward bound training course with some military

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Speaker 2: basics would be a good thing to bring in. I mean,

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Speaker 2: it'll be a hard one to get across the line,

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Speaker 2: so we're just talking hypothetically here. I mentioned there'd be

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Speaker 2: a lot of pushback on it. Yeah, it'd be hard

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Speaker 2: to get elected, hard to get the young person vote

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Speaker 2: going into an election.

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Speaker 3: Do you need them though? Now it's over eighteen.

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Speaker 2: They're too soft and squishy. They will never turn up

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Speaker 2: and vote.

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Speaker 3: This is a good text here. Hey, guys, do you

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Speaker 3: know what McLaren and Bricknell probably couldn't do? Clear cash

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Speaker 3: or copy a r L. Resourcefulness has been redefined. I

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Speaker 3: work with a wide demographic. A young, soft, squishy staff

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Speaker 3: pick up technology and new skills easily. Our older staff

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Speaker 3: are resource resilient and have many qualities, but also their

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Speaker 3: skill sets are becoming increasingly redundant. Side note. I am

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Speaker 3: all for compulsory military services. I believe the tech experience

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Speaker 3: gain there will be useful in today's workforce. Love your

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Speaker 3: work guys. Welcome back from Stacey.

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Speaker 2: Oh thanks for your text taste, Stacy. But I would

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Speaker 2: say that McLaren and Brickle, like say Brickell for example,

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Speaker 2: talking about has driving correct railway to I mean he

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Speaker 2: built ten bridges and three tunnels and a full railway. Yeah,

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Speaker 2: I reckon you could probably he could probably poney up

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Speaker 2: and work out how to clear a case or copy

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Speaker 2: you are RL.

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Speaker 3: Yeah, yes they can two attitude that I think can

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Speaker 3: be missing sometimes.

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Speaker 2: I think you could probably reper repurpose him to do that.

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Speaker 3: Yeah. Oh eight hundred eighty ten eighty is the number

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Speaker 3: to call compulsory military training. Yay or nay. It's twenty

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Speaker 3: five past one.

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Speaker 1: Putting the tough questions to the newspeakers the mic asking breakfast.

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Speaker 10: Christopher Luxen is, will this ACC and ACT and Mary procurement?

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Speaker 10: Are you up on this or not?

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Speaker 3: Sorry?

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Speaker 2: I haven't been briefed on the ACC is.

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Speaker 10: So on the surface act to claiming that ACC is

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Speaker 10: still trying to procure services based on waste and there's

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Speaker 10: this cabinet piece of paper that says you can't do that,

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Speaker 10: so act right, Well, got.

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Speaker 11: A circular that's about making sure public services delivered on

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Speaker 11: the basis of knee acc have obviously got a prefurement

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Speaker 11: exercise up and running. The Minister Scott Simpson, as I understand,

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Speaker 11: it was quite comfortable in the first instance, but obviously

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Speaker 11: it's an operational decision for them. But he's and asked

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Speaker 11: them to go back and reassure themselves and him that's

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Speaker 11: been handled well.

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Speaker 10: Back tomorrow at six am the Mike Husking Breakfast with

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Speaker 10: the rain drove of Alarm News Talk.

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Speaker 3: ZB twenty eight past one. Compulsory military service in New Zealand.

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Speaker 3: Is it a good idea? Yes or no? Owen you

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Speaker 3: were in the last and take in New Zealand, is

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Speaker 3: that right?

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Speaker 12: Yeah, that's right in the twenty seventh intake. And I'm

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Speaker 12: now eighty six, so there's not very many of us left,

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Speaker 12: I guess, but I can tell you that from my experience,

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Speaker 12: one of the great mistakes that were made was not

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Speaker 12: continuing with it, because it really did bring great benefits

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Speaker 12: to many young guys who learned the discipline, learnt the

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Speaker 12: camaraderie that can be found in a grouping like that.

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Speaker 6: There was always plenty of action, which.

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Speaker 12: They like as well, there's a lot of physical stuff,

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Speaker 12: confidence courses, all the things that really sort of make

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Speaker 12: life interesting and give you a bit of a direction.

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Speaker 12: And I can tell you I made friends in the army,

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Speaker 12: And originally I didn't much want to go in because

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Speaker 12: I was busy doing other things. But once I got

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Speaker 12: in there and it was proved to be really beneficial

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Speaker 12: and I made friends that I still have, although there's

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Speaker 12: not too many of them left.

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Speaker 11: But the.

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Speaker 12: One thing that happens is that you go in there

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Speaker 12: and the army always wins. You never get into a

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Speaker 12: fight with the army because they always win. But it's

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Speaker 12: amazing the people that are there.

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Speaker 6: And the regular army that were there.

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Speaker 12: They were returned servicemen that came from the probably the

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Speaker 12: Malayan conflict, and they were mighty guys, they really were.

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Speaker 12: A lot of them went on to be in the

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Speaker 12: police force, which they were good in the police as well,

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Speaker 12: because when I got out of the army, you know,

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Speaker 12: I knew the crops in.

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Speaker 6: The local town and where I lived.

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Speaker 12: And a lot of them were returned servicemen and that

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Speaker 12: had been in the army, and they were just I mean,

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Speaker 12: they carried on the same sort of attitudes.

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Speaker 2: What was what year was this owen?

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Speaker 1: Was?

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Speaker 2: That was the last one finished?

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Speaker 12: It finished in fifty eight, and it finished for the

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Speaker 12: wrong reasons. It finished because the Labor God Month promise

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Speaker 12: they would get rid of it. It was a vote

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Speaker 12: catcher right by the Labor government, the incoming a cinemata.

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Speaker 2: Young people obviously didn't want to do it and so

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Speaker 2: would vote against it.

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Speaker 6: Oh yeah, well of course they were.

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Speaker 13: Yeah.

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Speaker 12: I mean, well you said you you didn't want to

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Speaker 12: want to do it either.

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Speaker 2: Yeah, but but it was great for you in the end.

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Speaker 2: How long was was that? Was it? It wasn't a

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Speaker 2: full year, was it back then? Was it fourteen weeks?

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Speaker 9: No?

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Speaker 12: No, no, no it was It was about three and

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Speaker 12: a half months. I think it all was right, And

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Speaker 12: and there was basic training which was a lot of

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Speaker 12: square bashing and things like that, and then uh, and

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Speaker 12: then there was core training depending on what you did

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Speaker 12: and if you I was in the infantry, so there

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Speaker 12: was a lot of marching and camping out in the

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Speaker 12: abortion and doing all sorts of things. But young guys

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Speaker 12: like anyway, what was.

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Speaker 1: It like in that?

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Speaker 2: So you you slept in the barracks, did you? Or

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Speaker 2: did you? Did you were going back home.

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Speaker 12: We we had old World War two huts, four four

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Speaker 12: four men to the hut, and this was in Linton

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Speaker 12: Camp and it was it was pretty good, were very

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Speaker 12: old huts. But and it was in the winter in May.

440
00:22:26,493 --> 00:22:28,693
Speaker 2: So could you choose, you said it was. Could you

441
00:22:28,813 --> 00:22:32,773
Speaker 2: choose when you went in? Or was it was the year?

442
00:22:32,853 --> 00:22:32,893
Speaker 13: No?

443
00:22:34,173 --> 00:22:36,853
Speaker 6: The army, The army told you when you were there.

444
00:22:38,093 --> 00:22:40,493
Speaker 6: And originally I.

445
00:22:40,533 --> 00:22:43,573
Speaker 12: Was called up for the twenty fifth intake, but my

446
00:22:43,693 --> 00:22:49,693
Speaker 12: boss got me half of it because he he said

447
00:22:50,133 --> 00:22:54,532
Speaker 12: I couldn't my job couldn't be easily fulfilled while I

448
00:22:54,733 --> 00:22:58,253
Speaker 12: was away, And he put the same excuse forward for

449
00:22:58,373 --> 00:23:01,733
Speaker 12: twenty six and then reply to the twenty sixth. The

450
00:23:01,853 --> 00:23:06,533
Speaker 12: army said, well he's into the twenty seventh, don't apply anymore.

451
00:23:06,893 --> 00:23:07,893
Speaker 6: And I was so.

452
00:23:09,133 --> 00:23:10,773
Speaker 2: So you were the last one, you were in the

453
00:23:10,813 --> 00:23:11,413
Speaker 2: last intake?

454
00:23:12,093 --> 00:23:14,333
Speaker 6: That, yeah, it was. It turned out to be the

455
00:23:14,413 --> 00:23:15,133
Speaker 6: last intake.

456
00:23:15,573 --> 00:23:18,053
Speaker 2: And do you reckon that, you reckon the young people

457
00:23:18,093 --> 00:23:20,813
Speaker 2: today that the age you were back then could could

458
00:23:20,853 --> 00:23:22,013
Speaker 2: handle what you went through.

459
00:23:26,293 --> 00:23:28,693
Speaker 12: Well, I was in there with a lot of farm

460
00:23:28,773 --> 00:23:29,853
Speaker 12: boys and I'll tell you what.

461
00:23:30,773 --> 00:23:37,253
Speaker 6: They already knew how to shoot. Yeah, and they were.

462
00:23:36,213 --> 00:23:41,653
Speaker 12: Very energetic and they were very down to earth type people.

463
00:23:43,773 --> 00:23:46,213
Speaker 12: I won't want to be critical of modern youth, but

464
00:23:47,373 --> 00:23:50,093
Speaker 12: I don't see too many that would probably take too

465
00:23:50,173 --> 00:23:54,253
Speaker 12: kindly to it. And now with things like social media

466
00:23:54,373 --> 00:23:57,013
Speaker 12: and that, I mean, they were I don't think you

467
00:23:57,053 --> 00:23:58,653
Speaker 12: could ever start it again.

468
00:24:00,733 --> 00:24:03,293
Speaker 3: Thank you very much. We got the headlines hot on

469
00:24:03,333 --> 00:24:06,253
Speaker 3: our tail, but really good to get your expertise. I mean,

470
00:24:06,253 --> 00:24:08,013
Speaker 3: it would harden them up to that last part, you know,

471
00:24:08,093 --> 00:24:10,773
Speaker 3: didn't knock the youth of today, which is a good thing.

472
00:24:10,813 --> 00:24:11,013
Speaker 5: You know.

473
00:24:11,133 --> 00:24:13,173
Speaker 2: I think they're a huge it's compulsory. I think a

474
00:24:13,253 --> 00:24:16,493
Speaker 2: huge percentage of young people would go, yeah, how awesome, Yeah,

475
00:24:17,253 --> 00:24:18,973
Speaker 2: go and do it. I mean some people would hate it.

476
00:24:19,453 --> 00:24:24,493
Speaker 2: But fourteen weeks of just becoming a more practical human being, yep,

477
00:24:24,653 --> 00:24:26,013
Speaker 2: well no, it sounds bloody good to me.

478
00:24:26,133 --> 00:24:28,013
Speaker 3: Exactly. Oh one hundred and eighty ten eighty is the

479
00:24:28,093 --> 00:24:29,973
Speaker 3: number to call. It is twenty six to two.

480
00:24:32,973 --> 00:24:35,293
Speaker 1: Jus talk savy headlines.

481
00:24:34,893 --> 00:24:38,173
Speaker 14: With blue bubble taxis. It's no trouble with a blue bubble.

482
00:24:38,613 --> 00:24:42,173
Speaker 14: The construction Minister's confident they can still crack down on

483
00:24:42,333 --> 00:24:47,052
Speaker 14: cowboys while loosening work sign off rules for approved building firms,

484
00:24:47,093 --> 00:24:52,293
Speaker 14: plumbers and drain layers. The Education Minister's confident government funding

485
00:24:52,333 --> 00:24:56,573
Speaker 14: of teacher registration fees until twenty twenty eight will make

486
00:24:56,613 --> 00:24:59,853
Speaker 14: a difference with a fifty three million dollar allocation in

487
00:24:59,893 --> 00:25:04,493
Speaker 14: this year's budget. Final confirmation bird flu has been successfully

488
00:25:04,533 --> 00:25:07,733
Speaker 14: eradicated from an Otago egg farm. It's on the back

489
00:25:07,773 --> 00:25:10,653
Speaker 14: of more than five five thousand tests and culling of

490
00:25:10,693 --> 00:25:14,973
Speaker 14: two hundred thousand chickens. Chris Luckson says New Zealand is

491
00:25:15,013 --> 00:25:18,093
Speaker 14: committed to the One China policy and a trip to

492
00:25:18,133 --> 00:25:21,573
Speaker 14: Taiwan by a cross party group of backbencher MPs is

493
00:25:21,613 --> 00:25:26,173
Speaker 14: business as usual. The Chinese endis exclaimed it violated our agreement.

494
00:25:27,213 --> 00:25:31,453
Speaker 14: State Highway one has reopened through Northland's Mungamuka Gorge after

495
00:25:31,493 --> 00:25:35,053
Speaker 14: work on a slip during heavy rain yesterday. Met Service

496
00:25:35,093 --> 00:25:39,133
Speaker 14: is forecasting more heavy rain in coming days. Heavy rain

497
00:25:39,253 --> 00:25:43,533
Speaker 14: watches for Northland tomorrow and Canterbury on Wednesday and Thursday.

498
00:25:44,733 --> 00:25:48,333
Speaker 14: Tall tales the all Black Kid who became a great

499
00:25:48,413 --> 00:25:52,093
Speaker 14: and now spelling Secrets of the Black Jersey. Find out

500
00:25:52,133 --> 00:25:54,813
Speaker 14: more at Enzenhira l Premium. Now back to matt Ethan

501
00:25:54,813 --> 00:25:55,533
Speaker 14: Tyler Adams.

502
00:25:55,573 --> 00:25:58,373
Speaker 3: Thank you very much, Rayleen. It's twenty two to two.

503
00:25:58,533 --> 00:26:01,413
Speaker 2: We're talking about an interesting article titled how military Training

504
00:26:01,413 --> 00:26:04,573
Speaker 2: could Transform New Zealand's Society was written by Matthew Houghton.

505
00:26:05,413 --> 00:26:09,613
Speaker 2: He believes that an outward bound style training set up

506
00:26:10,013 --> 00:26:13,733
Speaker 2: could have fantastic benefits for New Zealand social economic and

507
00:26:13,813 --> 00:26:21,493
Speaker 2: for school benefits and you know, the social cohesion foster

508
00:26:21,653 --> 00:26:25,053
Speaker 2: national unity. This text to disagrees on nine two nine two.

509
00:26:25,213 --> 00:26:28,173
Speaker 2: Holy crap, Matt, you've become a fascist six months on

510
00:26:28,253 --> 00:26:30,653
Speaker 2: ZB and now you want all kids sent off to

511
00:26:30,693 --> 00:26:33,453
Speaker 2: die in wars. Shame on you. How about no wars?

512
00:26:33,493 --> 00:26:36,533
Speaker 2: How about no fighting? For Christ's sake? If you have soldiers,

513
00:26:36,533 --> 00:26:39,053
Speaker 2: you get wars. How dumb are you? One follows the

514
00:26:39,093 --> 00:26:39,893
Speaker 2: other fascists?

515
00:26:40,133 --> 00:26:41,413
Speaker 3: Yeah, what do you say that?

516
00:26:41,413 --> 00:26:44,053
Speaker 2: That's an interesting point of view. Interesting don't think anyone's

517
00:26:44,053 --> 00:26:49,053
Speaker 2: advocating advocating for wanting all kids to sent off to

518
00:26:49,133 --> 00:26:54,173
Speaker 2: die in wars. But as I said before, say we're

519
00:26:54,613 --> 00:26:58,093
Speaker 2: packham palla bellum. If you want peace, prepare for war.

520
00:26:58,733 --> 00:27:04,093
Speaker 2: So that that's really the argument. But also the the

521
00:27:04,173 --> 00:27:07,213
Speaker 2: idea is really that that it would be great for

522
00:27:07,853 --> 00:27:10,773
Speaker 2: kids to have some kind of practical output in their life,

523
00:27:10,973 --> 00:27:13,533
Speaker 2: and it would be good for their confidence and such.

524
00:27:15,533 --> 00:27:17,893
Speaker 2: I wouldn't even have to be end up you know

525
00:27:17,973 --> 00:27:20,613
Speaker 2: that probably would not even end up going to war,

526
00:27:20,653 --> 00:27:22,973
Speaker 2: but they might end up helping a civil defense emergency.

527
00:27:23,013 --> 00:27:26,773
Speaker 2: They might might be more practical when a flood hits

528
00:27:26,933 --> 00:27:29,613
Speaker 2: their town. They might be more practical in an earthquake

529
00:27:29,693 --> 00:27:31,933
Speaker 2: because they've had this training, because a certain amount of

530
00:27:31,973 --> 00:27:37,253
Speaker 2: it would be CPR and the like, so life skills,

531
00:27:37,573 --> 00:27:41,893
Speaker 2: you know, cooking, car maintenance, emergency preparedness wouldn't be a

532
00:27:41,933 --> 00:27:43,573
Speaker 2: bad thing for people who have even if they never

533
00:27:43,613 --> 00:27:44,253
Speaker 2: go off to war.

534
00:27:44,373 --> 00:27:46,213
Speaker 3: Yeah, I don't think it's fascist to send kids to

535
00:27:46,213 --> 00:27:49,213
Speaker 3: outward bounders, and it's effectively what you're doing here, just

536
00:27:49,453 --> 00:27:53,493
Speaker 3: up scaling on some important life skills. Michel, how are

537
00:27:53,493 --> 00:27:54,213
Speaker 3: you this afternoon?

538
00:27:55,533 --> 00:27:56,053
Speaker 5: Not to bed?

539
00:27:56,773 --> 00:28:00,493
Speaker 15: Thank you for the opportunity. I like the idea, but

540
00:28:00,653 --> 00:28:03,853
Speaker 15: I think there's some groundworkings to be done. There are

541
00:28:03,853 --> 00:28:09,213
Speaker 15: three to six years of legislation work away from this reality,

542
00:28:09,693 --> 00:28:11,733
Speaker 15: because once you set it up, you need to have

543
00:28:11,813 --> 00:28:14,813
Speaker 15: lots of regulations and you need an act regarding this

544
00:28:15,653 --> 00:28:19,533
Speaker 15: because when you start getting the new people coming out

545
00:28:19,573 --> 00:28:23,333
Speaker 15: of the school, graduating from high school, you need to

546
00:28:23,373 --> 00:28:25,812
Speaker 15: know if they straight go to university or not. If

547
00:28:25,813 --> 00:28:28,613
Speaker 15: they go to universities need to give them exemptions untill

548
00:28:28,693 --> 00:28:31,773
Speaker 15: they finish their job. If they are on training, they

549
00:28:31,813 --> 00:28:35,293
Speaker 15: need to finish their training and then go to military.

550
00:28:36,093 --> 00:28:39,093
Speaker 15: People who are on sole income earners, they have a

551
00:28:39,173 --> 00:28:43,853
Speaker 15: family with children and the spouse is at home looking

552
00:28:43,893 --> 00:28:46,733
Speaker 15: after the kids. You cannot just take them and send

553
00:28:46,733 --> 00:28:50,053
Speaker 15: them to military service because they are the sole income

554
00:28:50,093 --> 00:28:53,733
Speaker 15: earners and there's no other income. So the government starts

555
00:28:53,853 --> 00:28:57,573
Speaker 15: thinking budgeting this that if somebody has got the profession

556
00:28:57,973 --> 00:29:00,293
Speaker 15: and has got children, how they are going to take

557
00:29:00,333 --> 00:29:02,653
Speaker 15: him three to six months or eight months or whatever

558
00:29:03,053 --> 00:29:05,693
Speaker 15: out of the business, and how they are going to

559
00:29:05,733 --> 00:29:06,493
Speaker 15: feed the family.

560
00:29:06,693 --> 00:29:06,853
Speaker 9: Yeah.

561
00:29:06,893 --> 00:29:10,013
Speaker 2: Well, as I'm saying it, when he went into the service,

562
00:29:10,093 --> 00:29:13,413
Speaker 2: that there were concessions to be deferred to different times

563
00:29:13,693 --> 00:29:16,533
Speaker 2: if it was impossible. I mean, it might be a

564
00:29:16,533 --> 00:29:19,333
Speaker 2: little bit like jury service. And well Owen was saying

565
00:29:19,373 --> 00:29:21,933
Speaker 2: before that he was the final intake that was compulsory.

566
00:29:21,973 --> 00:29:24,413
Speaker 2: As people are pointing out, it did continue on for

567
00:29:24,493 --> 00:29:31,173
Speaker 2: quite some time as a ballot a ballot based situation

568
00:29:31,253 --> 00:29:33,813
Speaker 2: I guess similar to similar to jury service.

569
00:29:33,893 --> 00:29:36,733
Speaker 3: Yeah, that makes sense. Michelle thank you very much for

570
00:29:36,973 --> 00:29:39,093
Speaker 3: your call. I one hundred and eighty ten eighty is

571
00:29:39,133 --> 00:29:43,093
Speaker 3: the number of call before we play some messages.

572
00:29:43,213 --> 00:29:45,213
Speaker 2: Oh yeah, I've got a question for you, Tyler, yep

573
00:29:45,333 --> 00:29:47,733
Speaker 2: and everyone on nine two nine two. How many countries

574
00:29:47,773 --> 00:29:50,813
Speaker 2: have a form of compulsory national service as of twenty

575
00:29:50,853 --> 00:29:53,573
Speaker 2: twenty five? What percentage do you think of all the

576
00:29:53,613 --> 00:29:54,533
Speaker 2: countries in the world.

577
00:29:55,013 --> 00:29:56,893
Speaker 3: I'm going to write down a number here, but if

578
00:29:56,933 --> 00:30:00,413
Speaker 3: you think you know, nine two is the text number.

579
00:30:00,853 --> 00:30:02,733
Speaker 3: Flick us a message if you think you know. But

580
00:30:02,773 --> 00:30:04,493
Speaker 3: we've got to play some messages and we'll be back

581
00:30:04,733 --> 00:30:06,333
Speaker 3: very shortly. It is eighteen to two.

582
00:30:08,053 --> 00:30:12,053
Speaker 1: Big stories, the big issues, the big trends and everything

583
00:30:12,053 --> 00:30:15,733
Speaker 1: in between. Matt Heath and Tyler Adams Afternoons used talks

584
00:30:15,733 --> 00:30:17,133
Speaker 1: that be us talks.

585
00:30:17,293 --> 00:30:19,013
Speaker 3: B It is a quarter to two. We're talking about

586
00:30:19,253 --> 00:30:21,093
Speaker 3: compulsory military service.

587
00:30:22,653 --> 00:30:24,893
Speaker 2: Before the break, ask the question how many countries have

588
00:30:24,933 --> 00:30:28,613
Speaker 2: a form of compulsory national services? A percentage? Someone says

589
00:30:28,653 --> 00:30:32,453
Speaker 2: eighteen percent. I reckon boys less than five percent? Is

590
00:30:32,453 --> 00:30:36,693
Speaker 2: this text? Eight percents is Lisa from christ Church. Well,

591
00:30:37,493 --> 00:30:42,253
Speaker 2: guess what what? Forty one percent of countries in the

592
00:30:42,253 --> 00:30:44,413
Speaker 2: world have a form of national service.

593
00:30:44,693 --> 00:30:45,453
Speaker 3: That is incredible.

594
00:30:45,533 --> 00:30:49,013
Speaker 2: So eighty countries, approximately eighty countries currently have some form

595
00:30:49,053 --> 00:30:51,573
Speaker 2: of national service or conscription in place, according to the

596
00:30:51,573 --> 00:30:54,613
Speaker 2: World Population Review. So it's pretty common in the world.

597
00:30:54,653 --> 00:30:57,333
Speaker 2: Not that radical, yeah, not that radical. I mean I

598
00:30:57,373 --> 00:30:59,493
Speaker 2: can't see it again. I mean it's sort of a

599
00:30:59,533 --> 00:31:03,253
Speaker 2: thought experiment now, because I can't see, you know, with

600
00:31:03,293 --> 00:31:06,133
Speaker 2: all the problems in the world, you know, a party

601
00:31:06,333 --> 00:31:10,333
Speaker 2: going into an election and saying this is our policy.

602
00:31:10,613 --> 00:31:14,253
Speaker 2: Maybe New Zealand First or Act might do it. I

603
00:31:13,453 --> 00:31:16,373
Speaker 2: can't I can't see the Greens going for it going

604
00:31:16,413 --> 00:31:19,693
Speaker 2: into an election because you would look at yourself losing

605
00:31:19,733 --> 00:31:21,533
Speaker 2: a lot of the young vote, wouldn't you. But it's

606
00:31:21,573 --> 00:31:23,373
Speaker 2: interesting because Owen said he didn't want to go in

607
00:31:23,453 --> 00:31:25,853
Speaker 2: when he went in back in the day, but afterwards

608
00:31:25,853 --> 00:31:27,253
Speaker 2: he was one of the best things he ever did

609
00:31:27,773 --> 00:31:29,973
Speaker 2: in his life. But you're not going to get a

610
00:31:30,013 --> 00:31:33,773
Speaker 2: lot of eighteen to eighteen year old voted.

611
00:31:33,933 --> 00:31:35,573
Speaker 3: You'll lose that vote. How would you feel as a

612
00:31:35,613 --> 00:31:37,893
Speaker 3: parent though, because generally, and it's easy for me to

613
00:31:37,893 --> 00:31:40,453
Speaker 3: say this that I like the idea and if I

614
00:31:40,573 --> 00:31:42,973
Speaker 3: was in that age bracket, I think that would be

615
00:31:43,013 --> 00:31:44,933
Speaker 3: a great thing to do. The amount of skills that

616
00:31:44,973 --> 00:31:47,653
Speaker 3: you'd pick up for free, even if it's a year.

617
00:31:47,693 --> 00:31:49,053
Speaker 3: A lot of people, a lot of kids have a

618
00:31:49,093 --> 00:31:51,293
Speaker 3: gap year. But how would you feel about your kids?

619
00:31:51,413 --> 00:31:54,613
Speaker 2: Well, I think it's a more along the lines of

620
00:31:54,773 --> 00:31:58,733
Speaker 2: outward bound type situation. Yeah, this text sent our boys

621
00:31:58,773 --> 00:32:00,453
Speaker 2: to outward bound for three weeks to try and break

622
00:32:00,453 --> 00:32:02,813
Speaker 2: his computer game addiction. He handled it easy. The day

623
00:32:02,853 --> 00:32:05,413
Speaker 2: after he got back straight onto the computer. Didn't change

624
00:32:05,413 --> 00:32:09,173
Speaker 2: a thing all fights, But he have learned a bunch

625
00:32:09,213 --> 00:32:13,173
Speaker 2: of skills that may come in to usage at some

626
00:32:13,213 --> 00:32:16,133
Speaker 2: point in life. Because there are emergencies that happen and

627
00:32:16,213 --> 00:32:20,973
Speaker 2: people are totally utterly squidgy and useless, and in the

628
00:32:21,013 --> 00:32:23,493
Speaker 2: case of floods that we seem to have regularly in

629
00:32:23,533 --> 00:32:27,053
Speaker 2: this country, we are on a very shaky aisle. Earthquakes

630
00:32:27,373 --> 00:32:29,773
Speaker 2: are likely to hit. Whether it ends up being a

631
00:32:29,773 --> 00:32:34,573
Speaker 2: military arm application or a civil defense application. Surely some

632
00:32:34,653 --> 00:32:38,933
Speaker 2: kind of level, even three month training on that outdoor

633
00:32:38,933 --> 00:32:42,253
Speaker 2: outward bound style military style training would be fantastic.

634
00:32:42,333 --> 00:32:44,413
Speaker 3: Yep, Oh, one hundred and eighty teen eighty is the

635
00:32:44,493 --> 00:32:45,773
Speaker 3: number to call. Get a bob.

636
00:32:47,533 --> 00:32:51,053
Speaker 13: Yeah, hi, guys, I just wanted to throw my little

637
00:32:51,133 --> 00:32:58,173
Speaker 13: piece from here nineteen fifty six. When I first met

638
00:32:58,213 --> 00:33:04,453
Speaker 13: at high school, you were given an option of either Army,

639
00:33:04,813 --> 00:33:08,573
Speaker 13: Navy or Air Force and you got sittled out with

640
00:33:08,693 --> 00:33:11,053
Speaker 13: the uniform and you had one day a week in

641
00:33:11,173 --> 00:33:12,573
Speaker 13: training at high school.

642
00:33:13,613 --> 00:33:15,213
Speaker 2: Right, And what did that training involve?

643
00:33:17,333 --> 00:33:22,773
Speaker 13: Well, it was basic training, really gotcha? Yeah, But they

644
00:33:22,853 --> 00:33:29,173
Speaker 13: also give you lectures, you know, fifteen to twenty minutes

645
00:33:29,213 --> 00:33:31,933
Speaker 13: on how to do this, that or the other other thing.

646
00:33:32,093 --> 00:33:39,853
Speaker 13: That They also invited you to go on weekend sojiour

647
00:33:39,933 --> 00:33:43,973
Speaker 13: insend of the bush and get some more training.

648
00:33:44,053 --> 00:33:47,413
Speaker 2: But did you take them when they did you take

649
00:33:47,453 --> 00:33:48,173
Speaker 2: Did you take that out?

650
00:33:49,733 --> 00:33:49,973
Speaker 4: Yes?

651
00:33:50,053 --> 00:33:53,973
Speaker 13: I did, yeah, because I was culling beer at that

652
00:33:54,093 --> 00:33:55,333
Speaker 13: time on my weekends.

653
00:33:55,773 --> 00:33:56,013
Speaker 3: Right.

654
00:33:56,653 --> 00:33:57,853
Speaker 2: Do you think it would be a good thing to

655
00:33:57,973 --> 00:33:59,973
Speaker 2: reinstate that kind of training.

656
00:33:59,733 --> 00:34:03,533
Speaker 13: Bob, Well, I can't say we're doing any harm as

657
00:34:03,533 --> 00:34:05,133
Speaker 13: long as you left your riphone at home.

658
00:34:06,053 --> 00:34:06,773
Speaker 3: Yeah, exactly.

659
00:34:07,773 --> 00:34:07,973
Speaker 7: Yeah.

660
00:34:08,013 --> 00:34:09,973
Speaker 2: I think it's a big part of it. I think

661
00:34:10,493 --> 00:34:11,772
Speaker 2: that would be a big part of the reason why

662
00:34:11,813 --> 00:34:13,613
Speaker 2: people didn't want to do it now. Actually that's not

663
00:34:13,652 --> 00:34:15,732
Speaker 2: true because whenever you talk to young people now, they

664
00:34:15,773 --> 00:34:17,693
Speaker 2: know that they've got an addiction for their phone and

665
00:34:17,933 --> 00:34:20,733
Speaker 2: a lot of them. Whilst they'd be scared to be

666
00:34:20,853 --> 00:34:23,853
Speaker 2: stripped of their digital rights, they would know a lot

667
00:34:23,853 --> 00:34:26,293
Speaker 2: of them that that would be a good thing for them. Yeah,

668
00:34:26,333 --> 00:34:27,853
Speaker 2: a lot of them. There's a lot of talk about

669
00:34:27,853 --> 00:34:30,652
Speaker 2: brain right and how bad they feel after there's been

670
00:34:30,693 --> 00:34:32,573
Speaker 2: a whole day on the phone, and there's no doubt

671
00:34:32,613 --> 00:34:35,013
Speaker 2: that you would feel a lot better after a day's

672
00:34:35,053 --> 00:34:39,773
Speaker 2: physical activity out in the what Pops definitely than you

673
00:34:39,813 --> 00:34:42,533
Speaker 2: do just sitting on the couch, slumped over, scrolling doom scrolling.

674
00:34:42,613 --> 00:34:42,813
Speaker 16: Yeah.

675
00:34:42,813 --> 00:34:44,772
Speaker 3: And we're talking about eighteen year olds here, right, We're

676
00:34:44,813 --> 00:34:47,013
Speaker 3: not talking about ten year olds being signed up to

677
00:34:47,053 --> 00:34:49,853
Speaker 3: some sort of universal military academy.

678
00:34:50,053 --> 00:34:52,613
Speaker 2: This sexta says, I reckon many New Zealanders under forty

679
00:34:52,693 --> 00:34:54,853
Speaker 2: wouldn't have the common sense or resilience to cope with

680
00:34:54,893 --> 00:34:58,093
Speaker 2: any kind of military training. Yeah, but that's the whole point,

681
00:34:58,133 --> 00:35:00,373
Speaker 2: isn't it. That's why you want to do it. And

682
00:35:00,453 --> 00:35:02,173
Speaker 2: this has what got me thinking about not just this

683
00:35:02,293 --> 00:35:05,333
Speaker 2: article Matthew Howdon but I watched that documentary, the Roger

684
00:35:05,333 --> 00:35:10,933
Speaker 2: Donaldson documentary on Bruce McLaren, and everyone was so practical

685
00:35:10,973 --> 00:35:13,533
Speaker 2: back then. You know, when he went over to the UK,

686
00:35:13,613 --> 00:35:15,493
Speaker 2: he flew over a bunch of his kei. We mates

687
00:35:15,533 --> 00:35:18,573
Speaker 2: that were so practical at putting these engines together and

688
00:35:18,613 --> 00:35:22,813
Speaker 2: doing these things that no one can do anymore. And

689
00:35:23,133 --> 00:35:25,733
Speaker 2: that's all very well if we continue living this luxury

690
00:35:25,773 --> 00:35:28,213
Speaker 2: life that we've got now. But things can change in

691
00:35:28,293 --> 00:35:29,333
Speaker 2: the just like that.

692
00:35:29,453 --> 00:35:31,173
Speaker 3: Yeah, you've got to be put under the pump just

693
00:35:31,213 --> 00:35:32,733
Speaker 3: a little bit to get the best out of a

694
00:35:32,733 --> 00:35:34,813
Speaker 3: lot of people. Oh eight hundred eighty, ten eighty is

695
00:35:34,893 --> 00:35:37,493
Speaker 3: the number to call. It is ten to two back

696
00:35:37,573 --> 00:35:39,733
Speaker 3: very shortly. You're listening to Matt and Tyler. Good afternoon

697
00:35:39,773 --> 00:35:40,053
Speaker 3: to you.

698
00:35:41,413 --> 00:35:44,573
Speaker 1: Matt Heath, Taylor Adams taking your calls on. Oh, eight

699
00:35:44,693 --> 00:35:47,093
Speaker 1: hundred and eighty ten eighty. It's Matt Heath and Tyler

700
00:35:47,133 --> 00:35:49,053
Speaker 1: Adams Afternoons news talks.

701
00:35:49,253 --> 00:35:51,333
Speaker 2: Be good afternoon.

702
00:35:51,373 --> 00:35:53,733
Speaker 3: And we've been talking about the idea of universal military

703
00:35:53,773 --> 00:35:57,733
Speaker 3: service compulsory military service for young people. It was suggested

704
00:35:57,733 --> 00:36:01,173
Speaker 3: by Matthew Houton in the Herald an opinion piece of course,

705
00:36:01,213 --> 00:36:04,293
Speaker 3: as Matthew Houghton rights, but it's an interesting idea.

706
00:36:04,533 --> 00:36:07,533
Speaker 2: John, you want to talk about the scheme after the

707
00:36:07,533 --> 00:36:09,893
Speaker 2: one that Owen want On finished up.

708
00:36:10,973 --> 00:36:16,693
Speaker 17: Yes, when that CMT finished that brought in National Service

709
00:36:17,813 --> 00:36:20,893
Speaker 17: and it was based on the ballot system. If your

710
00:36:20,893 --> 00:36:24,293
Speaker 17: birthdate came up, you were required to go in.

711
00:36:24,693 --> 00:36:27,733
Speaker 2: And how long did that last for John? So if

712
00:36:27,733 --> 00:36:29,692
Speaker 2: the other one finished in nine fifty eight, how long

713
00:36:29,733 --> 00:36:31,133
Speaker 2: did the ballot system go for?

714
00:36:32,333 --> 00:36:32,533
Speaker 18: Yeah?

715
00:36:32,813 --> 00:36:35,772
Speaker 17: I think it finished in the late sixties. I went

716
00:36:35,813 --> 00:36:38,453
Speaker 17: in about nineteen sixty five.

717
00:36:38,573 --> 00:36:39,893
Speaker 10: I think it was right.

718
00:36:39,933 --> 00:36:44,013
Speaker 17: And being a student, you could spread your three months

719
00:36:44,093 --> 00:36:47,413
Speaker 17: over the split it in two and do it over

720
00:36:47,493 --> 00:36:49,772
Speaker 17: two holiday breaks at Christmas time?

721
00:36:49,893 --> 00:36:52,013
Speaker 2: Were you annoyed when you were you annoyed or happy

722
00:36:52,013 --> 00:36:54,533
Speaker 2: when your birth date came up in the ballot?

723
00:36:55,573 --> 00:36:58,252
Speaker 17: I was a volunteer because I thought it would be great.

724
00:36:58,653 --> 00:36:58,933
Speaker 2: Yeah.

725
00:37:00,013 --> 00:37:02,333
Speaker 17: I didn't think of the aspect of you were sold

726
00:37:02,413 --> 00:37:04,613
Speaker 17: you you're going to go to war and kill people

727
00:37:04,653 --> 00:37:07,333
Speaker 17: and all this sort of thing that didn't come onto it.

728
00:37:07,413 --> 00:37:10,973
Speaker 17: I saw it venture And do you think it made you.

729
00:37:10,933 --> 00:37:14,333
Speaker 2: More more practical in your life after that going forward?

730
00:37:15,373 --> 00:37:18,693
Speaker 17: Well, I was pretty practically as it was. But the

731
00:37:18,773 --> 00:37:22,053
Speaker 17: thing that I really noticed was you go in there

732
00:37:22,493 --> 00:37:25,293
Speaker 17: and there's a group of guys, or a few of them,

733
00:37:25,493 --> 00:37:28,493
Speaker 17: not that many, who had chips on their shoulders, and

734
00:37:28,533 --> 00:37:31,293
Speaker 17: they were what we called boggies back in those days.

735
00:37:31,333 --> 00:37:33,773
Speaker 17: I don't know whether you understand what that term means.

736
00:37:33,853 --> 00:37:34,853
Speaker 2: I've heard the term bodgy.

737
00:37:35,813 --> 00:37:37,973
Speaker 17: Yeah, yeah, you know the milk barkowboy.

738
00:37:38,133 --> 00:37:38,333
Speaker 16: Yeah.

739
00:37:38,373 --> 00:37:41,093
Speaker 17: They stick and lear the jackets, all this sort of thing,

740
00:37:41,773 --> 00:37:46,573
Speaker 17: all their brass on their jackets and whatever. Anyway, a

741
00:37:46,613 --> 00:37:48,573
Speaker 17: few of them like that, and they came in and

742
00:37:48,613 --> 00:37:51,093
Speaker 17: they had chips on their shoulders, and they moaned about

743
00:37:51,093 --> 00:37:54,213
Speaker 17: this and moaned about that. But after a few weeks

744
00:37:54,253 --> 00:37:59,013
Speaker 17: of solid physical training they changed and mixing with other guys,

745
00:37:59,053 --> 00:38:02,373
Speaker 17: they changed their attitude and they thought it was great.

746
00:38:02,893 --> 00:38:05,933
Speaker 17: And some of them just just joined the army full time.

747
00:38:06,373 --> 00:38:08,493
Speaker 2: Wow, I've been turnaround. Thanks for you call.

748
00:38:08,613 --> 00:38:08,813
Speaker 13: John.

749
00:38:08,853 --> 00:38:11,933
Speaker 2: My eighteen year old UNI student daughter works physically outside

750
00:38:11,973 --> 00:38:16,653
Speaker 2: seven daily, seven am to eleven am daily before lectures,

751
00:38:16,693 --> 00:38:18,853
Speaker 2: said yesterday, it is so good. Otherwise she would be

752
00:38:18,973 --> 00:38:22,013
Speaker 2: scrolling her phone in bed all morning. Matt look at

753
00:38:22,093 --> 00:38:24,373
Speaker 2: Saint Paul's up in Hamilton. They do a compulsory six

754
00:38:24,413 --> 00:38:28,093
Speaker 2: month camp at Tahoe in fourth form in topor. And

755
00:38:28,133 --> 00:38:31,053
Speaker 2: it's all about what you're talking about. And this Texas says,

756
00:38:31,093 --> 00:38:36,333
Speaker 2: no one invades a strong country, many invade perceived weak ones.

757
00:38:36,373 --> 00:38:39,093
Speaker 2: New Zealand is week a prime target in today's grab

758
00:38:39,173 --> 00:38:39,773
Speaker 2: what you want?

759
00:38:40,093 --> 00:38:42,813
Speaker 3: Well, yeah, this, Jesus say is guys. Back in the

760
00:38:42,973 --> 00:38:45,093
Speaker 3: seventies and eighties, I was involved in a bad crowd.

761
00:38:45,173 --> 00:38:47,013
Speaker 3: This was in England. As soon as one of the

762
00:38:47,053 --> 00:38:49,733
Speaker 3: gang hit seventeen, he got sent back to Italy for

763
00:38:49,773 --> 00:38:52,213
Speaker 3: a year's military service. Two others were sent back to

764
00:38:52,253 --> 00:38:54,732
Speaker 3: their place of birth and one that had one year's

765
00:38:54,773 --> 00:38:58,173
Speaker 3: military service. In hindsight, that probably saved their lives. I

766
00:38:58,213 --> 00:39:00,293
Speaker 3: think it's a great idea. It wouldn't do any harm,

767
00:39:00,333 --> 00:39:02,692
Speaker 3: but just so long as my son doesn't have to go.

768
00:39:04,613 --> 00:39:10,053
Speaker 2: But surely that's part of your becoming an adult, as

769
00:39:10,213 --> 00:39:16,613
Speaker 2: being practical and challenging situations, not just you know, defense situations,

770
00:39:16,733 --> 00:39:20,333
Speaker 2: but so well the emergencies definitely know and disasters come

771
00:39:20,373 --> 00:39:22,772
Speaker 2: across someone a crass car on the side of the road.

772
00:39:22,893 --> 00:39:24,613
Speaker 2: Yeah exactly.

773
00:39:24,653 --> 00:39:28,373
Speaker 3: I can only see good out of something like universal

774
00:39:28,413 --> 00:39:31,813
Speaker 3: military training. But as we say, it was an opinion

775
00:39:31,813 --> 00:39:34,173
Speaker 3: piece by Matthew Houton, and whether it's a policy that

776
00:39:34,213 --> 00:39:36,613
Speaker 3: gets taken up by any party highly doubt it.

777
00:39:36,853 --> 00:39:39,053
Speaker 2: I'm going to say right now, this is not going

778
00:39:39,133 --> 00:39:42,053
Speaker 2: to happen in that current climate. This is not going

779
00:39:42,053 --> 00:39:42,693
Speaker 2: to happen.

780
00:39:42,453 --> 00:39:44,893
Speaker 3: Or put five bucks on that right, a new sport

781
00:39:44,973 --> 00:39:46,893
Speaker 3: and weather on its way. Great to have your company.

782
00:39:46,973 --> 00:39:47,893
Speaker 3: Very good afternoon to.

783
00:39:47,853 --> 00:39:53,613
Speaker 1: You talking with you all afternoon It's Matt Heathen, Taylor

784
00:39:53,613 --> 00:39:55,933
Speaker 1: Adams Afternoons US Talks.

785
00:39:55,973 --> 00:39:56,213
Speaker 13: It'd be.

786
00:39:59,693 --> 00:40:02,893
Speaker 3: Good afternoon, welcome back into the program. Great to have

787
00:40:03,013 --> 00:40:06,573
Speaker 3: your company as always where if you're listening in the country.

788
00:40:06,653 --> 00:40:10,293
Speaker 3: Let's have a chat about AI and in this instance therapy,

789
00:40:10,333 --> 00:40:11,813
Speaker 3: and we want to take it a bit broader than that,

790
00:40:11,933 --> 00:40:15,213
Speaker 3: but innovations in technology and artificial intelligence are making it

791
00:40:15,253 --> 00:40:17,813
Speaker 3: easier than ever for people to see a therapist. That's

792
00:40:17,813 --> 00:40:21,693
Speaker 3: according to clinical psychologist Jackie Maguire. She joined The Little

793
00:40:21,733 --> 00:40:24,413
Speaker 3: Things podcast that's the New Zealand Heeral's Health and well

794
00:40:24,453 --> 00:40:27,333
Speaker 3: Being podcast to discuss what we all need to know

795
00:40:27,373 --> 00:40:30,333
Speaker 3: about therapy. But something that stood out in that particular

796
00:40:30,453 --> 00:40:33,293
Speaker 3: conversation was around the use of AI.

797
00:40:33,813 --> 00:40:37,293
Speaker 2: Yeah, Maguire said, of one AI tool, I thought I'm

798
00:40:37,333 --> 00:40:39,453
Speaker 2: going to go and try it because it's like CHETJVT

799
00:40:39,613 --> 00:40:42,093
Speaker 2: but for therapy. And it was good.

800
00:40:42,693 --> 00:40:43,053
Speaker 3: Yeah.

801
00:40:43,093 --> 00:40:45,413
Speaker 2: So she's a professional that says it was quite good.

802
00:40:45,413 --> 00:40:47,613
Speaker 3: Not for she turned down the language there, I mean

803
00:40:47,653 --> 00:40:50,053
Speaker 3: she thought it was Bleman good?

804
00:40:50,253 --> 00:40:52,373
Speaker 2: She said, I would never say it on the radio,

805
00:40:52,413 --> 00:40:54,853
Speaker 2: but she said, shit, it was good. Yeah, but I'd

806
00:40:54,933 --> 00:40:56,853
Speaker 2: never read that on the radio because I'm professional.

807
00:40:56,973 --> 00:40:57,653
Speaker 3: That's high praise.

808
00:40:57,773 --> 00:40:59,533
Speaker 2: She said, I don't think you should be using AI

809
00:40:59,733 --> 00:41:02,573
Speaker 2: if you've got really complex stuff going on in your life.

810
00:41:02,573 --> 00:41:05,413
Speaker 2: But if you are, like, how do I navigate this

811
00:41:05,453 --> 00:41:08,613
Speaker 2: tricy conversation with my colleague? It was amazing. This was

812
00:41:08,613 --> 00:41:13,973
Speaker 2: a nine dollars ninety nine for a month a therapy AI.

813
00:41:14,733 --> 00:41:19,973
Speaker 2: It's an interesting thing, isn't it, Because therapy to me

814
00:41:20,213 --> 00:41:22,933
Speaker 2: seems to need human that part of it is talking

815
00:41:22,933 --> 00:41:25,732
Speaker 2: to a human, And yet more and more people are

816
00:41:25,733 --> 00:41:30,533
Speaker 2: finding solace and help from from AI. And it just

817
00:41:30,573 --> 00:41:33,693
Speaker 2: really leads to the question, what are you willing to

818
00:41:33,813 --> 00:41:37,293
Speaker 2: let taken be taken over by AI? What? What do

819
00:41:37,333 --> 00:41:41,173
Speaker 2: you need human to do? It's been claimed robot surgeons

820
00:41:41,213 --> 00:41:43,013
Speaker 2: will be as good as human surgeons in a few

821
00:41:43,093 --> 00:41:46,733
Speaker 2: years and better than the best human surgeons within five years.

822
00:41:47,773 --> 00:41:49,973
Speaker 2: And how comfortable would you be with a robot surgeon?

823
00:41:51,013 --> 00:41:54,053
Speaker 2: There's there's there's the robotic surgeons that are you know,

824
00:41:54,133 --> 00:41:59,013
Speaker 2: surgery tools that are held actually controlled by an actual doctor,

825
00:41:59,053 --> 00:42:02,333
Speaker 2: insurgeon but the precision is done, but they're controlled, so

826
00:42:02,493 --> 00:42:04,893
Speaker 2: you know, the incisions are.

827
00:42:04,773 --> 00:42:06,373
Speaker 3: Made, so they're a human operator.

828
00:42:06,453 --> 00:42:09,893
Speaker 2: Human operator. Yeah, and they've had examples where they've done

829
00:42:09,933 --> 00:42:12,093
Speaker 2: the surgery from thousands of miles away. You get the

830
00:42:12,093 --> 00:42:14,293
Speaker 2: best surgeon in the world can operate the machine in

831
00:42:14,333 --> 00:42:17,093
Speaker 2: your area from another side of the world. That's a

832
00:42:17,133 --> 00:42:19,973
Speaker 2: slightly different thing because there's a human being involved in it.

833
00:42:20,373 --> 00:42:25,853
Speaker 2: But what we're talking about the complete diagnosis and examination

834
00:42:26,613 --> 00:42:30,013
Speaker 2: and surgery performed by AI.

835
00:42:30,413 --> 00:42:32,453
Speaker 3: I'm just trying to put myself into that scenario. And

836
00:42:32,453 --> 00:42:35,293
Speaker 3: it's a thought experiment obviously, But so you get the

837
00:42:35,333 --> 00:42:37,973
Speaker 3: pre op by a human being and it runs you

838
00:42:38,013 --> 00:42:41,732
Speaker 3: through how this particular AI robot is to operate and

839
00:42:42,293 --> 00:42:45,253
Speaker 3: the likelihood of success, which hopefully is going to be

840
00:42:45,293 --> 00:42:47,413
Speaker 3: quite high, a lot higher than a human. And then

841
00:42:47,453 --> 00:42:50,093
Speaker 3: at that point you go into the theater, you get

842
00:42:50,093 --> 00:42:52,692
Speaker 3: put under and they wheel out this robot to get

843
00:42:52,693 --> 00:42:53,053
Speaker 3: to work.

844
00:42:53,413 --> 00:42:57,853
Speaker 2: Yeah, and you'd be happy with that because you can

845
00:42:57,893 --> 00:43:00,172
Speaker 2: get for some reason, so you can get the percentages,

846
00:43:00,333 --> 00:43:02,733
Speaker 2: so you know five years down the track, and the

847
00:43:02,733 --> 00:43:07,973
Speaker 2: percentages are that the robot is better at the job

848
00:43:08,093 --> 00:43:10,893
Speaker 2: and more likely to succeed in the operation than the

849
00:43:11,053 --> 00:43:12,293
Speaker 2: human equivalent.

850
00:43:12,573 --> 00:43:16,173
Speaker 3: Which I mean, my brain says yes, but but the

851
00:43:16,213 --> 00:43:21,053
Speaker 3: emotional side of me, which is valid in certain circumstances,

852
00:43:21,053 --> 00:43:24,093
Speaker 3: would say, I'd still want some human interaction there. I'd

853
00:43:24,133 --> 00:43:28,652
Speaker 3: still want a human surgeon in the background, watching and

854
00:43:28,733 --> 00:43:31,813
Speaker 3: taking note in case this robot starts to do something

855
00:43:31,893 --> 00:43:33,453
Speaker 3: that it shouldn't be doing well.

856
00:43:33,853 --> 00:43:36,973
Speaker 2: Stephen Covey famously said that trust is equal parts character

857
00:43:37,013 --> 00:43:40,652
Speaker 2: and competence. Right, So you can prove the competence of

858
00:43:41,693 --> 00:43:45,693
Speaker 2: a robotic surgeon autonomous without a human being control and

859
00:43:45,733 --> 00:43:48,973
Speaker 2: ConTroll it. You could do that, and percentages you could,

860
00:43:48,973 --> 00:43:50,933
Speaker 2: you know, go well, ninety nine point nine to nine

861
00:43:50,933 --> 00:43:52,613
Speaker 2: percent of the time, this guy's going to succeed.

862
00:43:52,973 --> 00:43:53,212
Speaker 3: Yep.

863
00:43:53,493 --> 00:43:56,533
Speaker 2: And maybe that's better than a real surgeon. But the

864
00:43:56,613 --> 00:43:59,493
Speaker 2: characters are harder one to get right. And you can't

865
00:44:00,253 --> 00:44:05,133
Speaker 2: discount placebo either. That A lot of a surgery, surgical

866
00:44:05,173 --> 00:44:07,893
Speaker 2: proceizure is. You know, when I had major surgery on

867
00:44:07,893 --> 00:44:10,973
Speaker 2: my back, I met the neurosurgeon. We had a discussion.

868
00:44:11,253 --> 00:44:13,533
Speaker 2: I felt comfortable. He told me what he's going to do.

869
00:44:13,613 --> 00:44:14,853
Speaker 2: He showed me the thing he was going to put

870
00:44:14,893 --> 00:44:16,493
Speaker 2: in my back, what he's going to do then I

871
00:44:16,573 --> 00:44:18,933
Speaker 2: went into it and as a result, I was calm.

872
00:44:19,173 --> 00:44:22,013
Speaker 2: My body was ready to recover. And you know they say,

873
00:44:22,133 --> 00:44:24,573
Speaker 2: just going to speak to a doctor who looks like

874
00:44:24,613 --> 00:44:27,293
Speaker 2: a doctor maybe has a stiff scope in an office, Yep,

875
00:44:27,453 --> 00:44:31,253
Speaker 2: it will help you heal quicker. Yeah, white, the white.

876
00:44:31,053 --> 00:44:32,813
Speaker 3: But it is the bedside manner. And I don't have

877
00:44:32,813 --> 00:44:34,733
Speaker 3: the numbers in front of me. But study after study

878
00:44:34,773 --> 00:44:38,053
Speaker 3: has proven that doctors who have a phenomenal bedside matter

879
00:44:38,133 --> 00:44:40,373
Speaker 3: as and they show a lot of empathy, they get

880
00:44:40,413 --> 00:44:42,613
Speaker 3: on with their patient, they make the patient heed you say,

881
00:44:42,613 --> 00:44:47,013
Speaker 3: feel at ease. The outcomes are far superior then a

882
00:44:47,173 --> 00:44:50,013
Speaker 3: very competent doctor who's got a terrible bedside manner.

883
00:44:50,133 --> 00:44:52,253
Speaker 2: Well exactly. So if just before you go under, you

884
00:44:52,253 --> 00:44:54,893
Speaker 2: see R two D two coming at you with the scalpel,

885
00:44:55,293 --> 00:44:56,732
Speaker 2: what's the pacebo effect on that.

886
00:44:57,013 --> 00:44:59,133
Speaker 3: Yeah, if he's just coming at me with beeps and bops,

887
00:44:59,173 --> 00:45:01,013
Speaker 3: then yeah, maybe I wouldn't be so into it.

888
00:45:01,053 --> 00:45:04,533
Speaker 2: They have the in white. Catto got this thing here

889
00:45:04,573 --> 00:45:07,053
Speaker 2: that if they do have. In New Zealand, we have

890
00:45:07,253 --> 00:45:11,213
Speaker 2: a row operating doing surgery, but they are, as we said,

891
00:45:11,333 --> 00:45:15,692
Speaker 2: controlled by a human, which is a huge difference because

892
00:45:15,693 --> 00:45:16,773
Speaker 2: it's basically a tool.

893
00:45:17,053 --> 00:45:19,053
Speaker 3: Yeah. The other element here is we all know the

894
00:45:19,333 --> 00:45:22,493
Speaker 3: pressure on our health system at the moment, and there's

895
00:45:22,533 --> 00:45:24,573
Speaker 3: no doubt about it. When you bring in the likes

896
00:45:24,613 --> 00:45:26,732
Speaker 3: of AI and as you say, in five years time,

897
00:45:27,013 --> 00:45:30,013
Speaker 3: it's likely that AI robots will be better than the

898
00:45:30,053 --> 00:45:32,533
Speaker 3: best surgeons in the world. That will speed things up

899
00:45:32,733 --> 00:45:35,652
Speaker 3: considerably in our health system. I mean, is it too

900
00:45:35,733 --> 00:45:38,133
Speaker 3: much of a stretch to say that may fix it

901
00:45:38,213 --> 00:45:40,213
Speaker 3: all the problems that we've seen in our health system

902
00:45:40,253 --> 00:45:42,293
Speaker 3: at the moment to be able to bring this technology

903
00:45:42,333 --> 00:45:48,493
Speaker 3: in to take the pressure off needing actual human doctors there, Yeah,

904
00:45:48,573 --> 00:45:51,493
Speaker 3: to get more people through surgery, to make people healthier faster.

905
00:45:51,973 --> 00:45:54,013
Speaker 2: Yeah. And another part of it. I was talking to

906
00:45:54,053 --> 00:45:55,853
Speaker 2: a young man who's becoming a doctor at the moment

907
00:45:55,893 --> 00:45:57,813
Speaker 2: and is not interested in becoming a GP in a

908
00:45:57,853 --> 00:45:59,933
Speaker 2: small town because I said to him, you know GP

909
00:46:00,013 --> 00:46:02,173
Speaker 2: and has small time town. Isn't that the dream? And

910
00:46:02,213 --> 00:46:04,373
Speaker 2: he goes, no, I want to become a cosmetic surgeon yep,

911
00:46:04,733 --> 00:46:08,173
Speaker 2: because there's more money in it. So potentially the upside

912
00:46:08,173 --> 00:46:10,933
Speaker 2: of this would be that the surgery, which is repetitive,

913
00:46:10,933 --> 00:46:13,333
Speaker 2: and you want a surgeon that has done the procedure

914
00:46:13,373 --> 00:46:15,652
Speaker 2: a million times and so they know how to do it.

915
00:46:15,693 --> 00:46:20,333
Speaker 2: But if that's replaced by a robot, then perhaps the

916
00:46:20,373 --> 00:46:23,333
Speaker 2: doctors that we train will become the gps, which are

917
00:46:23,413 --> 00:46:26,973
Speaker 2: what we need, that face to face, friendly neighborhood GP

918
00:46:27,133 --> 00:46:30,493
Speaker 2: that helps you in a number of ways across your life.

919
00:46:31,133 --> 00:46:33,093
Speaker 2: And as opposed to going straight for the big money

920
00:46:33,773 --> 00:46:35,693
Speaker 2: in surgery which has been replaced by robots.

921
00:46:35,733 --> 00:46:38,013
Speaker 3: Oh eight, one hundred eighty ten eighty. How do you

922
00:46:38,013 --> 00:46:41,813
Speaker 3: feel about AI technology in medicine and health? As we mentioned,

923
00:46:42,293 --> 00:46:45,133
Speaker 3: AI is coming to the fore when it comes to therapy,

924
00:46:45,293 --> 00:46:48,813
Speaker 3: and that technology is fast approaching the likes of surgery

925
00:46:48,893 --> 00:46:50,933
Speaker 3: in our hospital. Is really gain to chat with you

926
00:46:50,973 --> 00:46:51,413
Speaker 3: on this one?

927
00:46:51,493 --> 00:46:53,213
Speaker 2: And if you're a surgeon, what do you think about this?

928
00:46:53,333 --> 00:46:55,533
Speaker 2: Do you think that this is even practical? Because someone's

929
00:46:55,533 --> 00:46:58,893
Speaker 2: just written a report saying that these complex surgeries could

930
00:46:58,893 --> 00:47:01,213
Speaker 2: be replaced by robots within the next five years and

931
00:47:01,253 --> 00:47:03,252
Speaker 2: they'd be more competent humans. Do you believe this is true?

932
00:47:03,373 --> 00:47:06,453
Speaker 2: Is this not true? Also, have you used therapy? Have

933
00:47:06,533 --> 00:47:10,253
Speaker 2: you used AI therapy and has that? Has that worked

934
00:47:10,253 --> 00:47:12,093
Speaker 2: for you? I've just done some AI therapy that I

935
00:47:12,173 --> 00:47:15,893
Speaker 2: might share with you next okay, and then but the

936
00:47:15,933 --> 00:47:19,813
Speaker 2: wider issue is would you you know robotaxis? Would you

937
00:47:19,853 --> 00:47:21,973
Speaker 2: be comfortable with the ROBOTAXI just taking your kids to

938
00:47:21,973 --> 00:47:24,253
Speaker 2: school without you in it? Would you be comfortable with

939
00:47:24,333 --> 00:47:30,173
Speaker 2: the complete end end AI robotic pilot? Yeah, that sits

940
00:47:30,253 --> 00:47:34,613
Speaker 2: up in the front like an airplane, an inflatable pilot,

941
00:47:34,613 --> 00:47:36,013
Speaker 2: the complete One oh.

942
00:47:35,893 --> 00:47:38,053
Speaker 3: Eight one hundred eighty ten eighty is the number to

943
00:47:38,053 --> 00:47:39,853
Speaker 3: call Love to hear your thoughts on this one. It

944
00:47:39,973 --> 00:47:41,893
Speaker 3: is fourteen past two.

945
00:47:42,853 --> 00:47:47,413
Speaker 1: Wow your home of afternoon Talk, Mad Heathen Taylor Adams

946
00:47:47,453 --> 00:47:50,933
Speaker 1: afternoons call eight hundred eighty ten eighty Youth Talk.

947
00:47:51,053 --> 00:47:55,773
Speaker 3: ZI. Be very good afternoon to you seventeen past two

948
00:47:55,773 --> 00:47:58,773
Speaker 3: when we're talking about the rise of AI technology in

949
00:47:58,853 --> 00:48:03,573
Speaker 3: fields that may make some of us feel a bit uncomfortable, therapy, surgery,

950
00:48:03,653 --> 00:48:05,453
Speaker 3: this therapy side of things was on the back of

951
00:48:05,493 --> 00:48:09,733
Speaker 3: a podcast that clinical psychology Jackie Maguire was part of.

952
00:48:09,773 --> 00:48:12,813
Speaker 3: It's called The Little Things, But she talked about AI

953
00:48:13,133 --> 00:48:16,573
Speaker 3: therapy that you can now subscribe to for ten bucks

954
00:48:16,573 --> 00:48:20,813
Speaker 3: a month that she said was pretty good. I quote,

955
00:48:20,813 --> 00:48:23,133
Speaker 3: I don't think you should be using AI if you've

956
00:48:23,133 --> 00:48:25,493
Speaker 3: got really complex stuff going on in your life. But

957
00:48:25,573 --> 00:48:27,773
Speaker 3: if you are like, how do I navigate this tricky

958
00:48:27,773 --> 00:48:30,173
Speaker 3: conversation with a colleague? It was amazing. I was blown

959
00:48:30,213 --> 00:48:32,213
Speaker 3: away and I thought for ten bucks a month, that

960
00:48:32,373 --> 00:48:32,973
Speaker 3: was pretty good.

961
00:48:33,213 --> 00:48:36,293
Speaker 2: Yeah, that's just talking to someone. But what about the

962
00:48:36,493 --> 00:48:40,253
Speaker 2: robot doing surgery to you? If the robot gets harder surgeries,

963
00:48:40,253 --> 00:48:43,893
Speaker 2: it may appear to have poor statistics. There's an interesting point. Actually, yeah,

964
00:48:43,973 --> 00:48:46,253
Speaker 2: give the robot or the hard ones. Yeah, but what

965
00:48:46,293 --> 00:48:50,292
Speaker 2: if Russian computer hacker transplants one of your hands onto

966
00:48:50,293 --> 00:48:50,893
Speaker 2: your forehead?

967
00:48:50,933 --> 00:48:51,813
Speaker 3: There's always that risk.

968
00:48:51,853 --> 00:48:56,373
Speaker 2: Now that there's a high risk, how would a robot

969
00:48:56,493 --> 00:48:58,613
Speaker 2: know if the patient started to bleed? Well, I mean

970
00:48:58,613 --> 00:49:00,853
Speaker 2: that's something that they would be sorting.

971
00:49:00,573 --> 00:49:03,172
Speaker 3: Out programmed as part of AI.

972
00:49:03,533 --> 00:49:07,093
Speaker 2: It's sensors and you know AI is getting pretty good

973
00:49:07,093 --> 00:49:09,733
Speaker 2: at detecting pictures, what's in picture and stuff. Yeah, so

974
00:49:09,933 --> 00:49:12,413
Speaker 2: I mean that would be something that they would need

975
00:49:12,453 --> 00:49:17,013
Speaker 2: to solve. Rob Welcome to show your thoughts on areas

976
00:49:17,053 --> 00:49:19,333
Speaker 2: of the world that AI is about to take over.

977
00:49:21,093 --> 00:49:24,053
Speaker 19: Hey, welcome guys, Thanks for the opportunity to chat to you.

978
00:49:24,213 --> 00:49:29,093
Speaker 19: I was just thinking that if you look at the industry,

979
00:49:29,213 --> 00:49:32,133
Speaker 19: for example, a lot of the procedures are pretty standard.

980
00:49:32,573 --> 00:49:35,333
Speaker 19: You know, identify that you've got a cavity, maybe do

981
00:49:35,413 --> 00:49:38,253
Speaker 19: a filling and stuff like that. And with the current

982
00:49:38,293 --> 00:49:41,733
Speaker 19: price of the industry land, it's truly unaffordable for a

983
00:49:41,813 --> 00:49:45,973
Speaker 19: huge proportion of the population. People just simply don't do it.

984
00:49:46,693 --> 00:49:49,893
Speaker 19: I'm from the South Island and let's not even talk

985
00:49:49,933 --> 00:49:55,813
Speaker 19: about the condition of people's teeth down here. Why would

986
00:49:55,853 --> 00:49:59,893
Speaker 19: we not want to take advantage of something for normal

987
00:49:59,933 --> 00:50:02,493
Speaker 19: procedures obviously, you know, if you've got a massive root

988
00:50:02,493 --> 00:50:06,333
Speaker 19: canal or something like that, maybe you need expertise. But

989
00:50:06,733 --> 00:50:11,333
Speaker 19: I think it would be a for a dentist or

990
00:50:11,373 --> 00:50:14,533
Speaker 19: even basic surgery to be conducted by a robot.

991
00:50:14,933 --> 00:50:18,172
Speaker 2: And there's definitely a problem with how much dental procedures cost. Yeah,

992
00:50:18,533 --> 00:50:21,413
Speaker 2: it is phenomenal, So I imagine that being a more

993
00:50:21,453 --> 00:50:25,652
Speaker 2: isolated situation than say, heart surgery. So you know, when

994
00:50:25,653 --> 00:50:27,573
Speaker 2: you go to the dentist, you can't talk to them

995
00:50:27,573 --> 00:50:30,172
Speaker 2: because you got your mouth open anyway, So that you know,

996
00:50:30,293 --> 00:50:34,653
Speaker 2: the bedside manner isn't generally is important. Lock someone's face

997
00:50:35,173 --> 00:50:39,533
Speaker 2: in place, the computer scans which molar it needs to remove,

998
00:50:39,573 --> 00:50:41,933
Speaker 2: bang whips it out. Yeah, five bucks on.

999
00:50:41,853 --> 00:50:45,013
Speaker 3: Your way for five bucks yeah, I'd say yes to that.

1000
00:50:45,253 --> 00:50:49,692
Speaker 2: Yeah, but how would you think you'd be comfortable Rob

1001
00:50:49,853 --> 00:50:53,853
Speaker 2: going to a dentist and we're not talking controlled by

1002
00:50:54,133 --> 00:50:59,133
Speaker 2: a dentist. We're talking completely and utterly autonomous. So as

1003
00:50:59,133 --> 00:51:02,533
Speaker 2: a robot scanning your face that's going in there and

1004
00:51:02,533 --> 00:51:04,493
Speaker 2: doing the surgery, do you think you would be confident

1005
00:51:04,733 --> 00:51:05,573
Speaker 2: to allow that to happen?

1006
00:51:05,653 --> 00:51:05,853
Speaker 6: Rob?

1007
00:51:06,733 --> 00:51:08,813
Speaker 19: Yeah, I think that would actually prefer that. You know,

1008
00:51:09,093 --> 00:51:12,533
Speaker 19: I have a bit of issues with the personal space

1009
00:51:13,613 --> 00:51:18,213
Speaker 19: thing where I've got some guy who's sticking his nose

1010
00:51:18,613 --> 00:51:22,573
Speaker 19: too millimeters from me and gaping into my mouth that

1011
00:51:22,973 --> 00:51:26,212
Speaker 19: is perhaps not in a condition that I'm super proud

1012
00:51:26,293 --> 00:51:28,652
Speaker 19: of in the first place. Ye give it to the

1013
00:51:28,653 --> 00:51:29,212
Speaker 19: machine there.

1014
00:51:29,333 --> 00:51:31,172
Speaker 2: Yeah, Hey, thank you so much for you call, Rob,

1015
00:51:31,853 --> 00:51:34,533
Speaker 2: And yeah, and the thing that you could program into

1016
00:51:34,573 --> 00:51:36,733
Speaker 2: the AI robot and make it not ask you questions

1017
00:51:36,773 --> 00:51:38,813
Speaker 2: when you can't answer them. Yeah, So when you've got

1018
00:51:38,853 --> 00:51:41,732
Speaker 2: a bunch of stuff in your mouth and your mouth

1019
00:51:41,773 --> 00:51:45,053
Speaker 2: open and they ask you how was your holiday, or

1020
00:51:45,093 --> 00:51:47,253
Speaker 2: maybe you could understand you know, it could be developed

1021
00:51:47,253 --> 00:51:48,453
Speaker 2: to be able to understand your answer.

1022
00:51:48,533 --> 00:51:51,053
Speaker 3: But generally most of us, hopefully, when we go to

1023
00:51:51,093 --> 00:51:53,173
Speaker 3: the dentist, you just get the old clean and a

1024
00:51:53,213 --> 00:51:55,373
Speaker 3: bit of an examination. Right, do you need any feelings?

1025
00:51:55,373 --> 00:51:57,733
Speaker 3: That's an easy thing for an AI robot to do, right,

1026
00:51:57,773 --> 00:52:00,013
Speaker 3: We're not talking any sort of surgery. Well, they just

1027
00:52:00,093 --> 00:52:02,732
Speaker 3: take away picture there. Have we look in there as well?

1028
00:52:02,813 --> 00:52:05,053
Speaker 3: I think I don't know if this technology exists, but

1029
00:52:05,253 --> 00:52:07,692
Speaker 3: they would do the cleaning, yeah, and then even take

1030
00:52:07,693 --> 00:52:09,093
Speaker 3: a picture and say no more fillings.

1031
00:52:09,093 --> 00:52:11,093
Speaker 2: Well, when my kids we were getting their braces, put

1032
00:52:11,133 --> 00:52:14,653
Speaker 2: in that they take a full three D model with

1033
00:52:15,013 --> 00:52:18,933
Speaker 2: cameras with exact proportions of the face of the teeth

1034
00:52:19,053 --> 00:52:23,933
Speaker 2: and for creating those in visiline. You know the type

1035
00:52:23,933 --> 00:52:25,893
Speaker 2: of braces you have where they three D print them

1036
00:52:25,893 --> 00:52:28,772
Speaker 2: out or whatever, and then you know they change them regularly. Yes,

1037
00:52:28,853 --> 00:52:32,013
Speaker 2: so they already have the technicality technology to completely and

1038
00:52:32,093 --> 00:52:35,093
Speaker 2: utterly three D scan your mouth, you know, without taking

1039
00:52:35,173 --> 00:52:38,333
Speaker 2: a mold. So by a boy, I don't know, as

1040
00:52:38,333 --> 00:52:39,653
Speaker 2: long as I mean, you don't want to be waving

1041
00:52:39,653 --> 00:52:41,533
Speaker 2: your face around when they're doing it, so maybe lock

1042
00:52:41,573 --> 00:52:44,773
Speaker 2: it into place. But then again, you know eye surgeries,

1043
00:52:45,093 --> 00:52:47,172
Speaker 2: you know, they don't seem to rip people's retinas out

1044
00:52:47,253 --> 00:52:47,653
Speaker 2: very often.

1045
00:52:47,773 --> 00:52:50,173
Speaker 3: No, oh, eight hundred eighty ten eighty is the number

1046
00:52:50,173 --> 00:52:53,652
Speaker 3: to call. How would you feel about AI being utilized

1047
00:52:53,693 --> 00:52:58,053
Speaker 3: for surgeries and other medical procedures. It's starting to happen,

1048
00:52:58,173 --> 00:53:01,933
Speaker 3: and when it comes to therapy, there is services available

1049
00:53:01,973 --> 00:53:05,533
Speaker 3: for ten bucks a month. It's effectively like chat GPT.

1050
00:53:05,933 --> 00:53:09,813
Speaker 3: But according to clinical psychologist Checki McGuire, she utilized it

1051
00:53:09,973 --> 00:53:11,093
Speaker 3: and it was pretty good.

1052
00:53:11,333 --> 00:53:16,333
Speaker 2: Yeah. What about just in everyday life robotaxis? Get up

1053
00:53:16,373 --> 00:53:18,173
Speaker 2: in the morning instead of driving your kids to school,

1054
00:53:18,213 --> 00:53:21,373
Speaker 2: you have them in an autonomous car and that is very,

1055
00:53:22,293 --> 00:53:24,653
Speaker 2: very possible.

1056
00:53:24,733 --> 00:53:24,973
Speaker 3: IA.

1057
00:53:25,253 --> 00:53:27,973
Speaker 2: There's autonomous taxis working in the United States at the moment,

1058
00:53:28,573 --> 00:53:30,093
Speaker 2: so that is that is something and they're not too

1059
00:53:30,133 --> 00:53:35,373
Speaker 2: different future. The autopilot on Tesla's is phenomenal, especially this

1060
00:53:35,493 --> 00:53:37,973
Speaker 2: this new upgrade that's just come in. So would you

1061
00:53:38,053 --> 00:53:40,293
Speaker 2: have your you're looking after your grandkids and you have

1062
00:53:40,373 --> 00:53:42,453
Speaker 2: them in the car to take them to school, or

1063
00:53:42,933 --> 00:53:46,413
Speaker 2: you know, your kids are visiting some of their cousins,

1064
00:53:46,493 --> 00:53:48,773
Speaker 2: just have them in an autonomous taxi and send them off.

1065
00:53:48,773 --> 00:53:50,973
Speaker 2: Would you would you trust AI to do that?

1066
00:53:51,213 --> 00:53:52,213
Speaker 3: How would you feel about that?

1067
00:53:54,933 --> 00:53:55,172
Speaker 20: Bad?

1068
00:53:55,613 --> 00:53:55,733
Speaker 14: Oh?

1069
00:53:55,893 --> 00:53:57,493
Speaker 3: One hundred eighty ten eighties the number.

1070
00:53:57,293 --> 00:54:05,652
Speaker 1: To coo Matt Heathan Tyler Adams afternoons call Oh eight

1071
00:54:05,693 --> 00:54:07,933
Speaker 1: hundred eighty eighty on news Talk ZB.

1072
00:54:08,333 --> 00:54:10,053
Speaker 3: You're a good afternoon to you, twenty five past two,

1073
00:54:10,053 --> 00:54:12,652
Speaker 3: and we're talking about the rise of AI technology in

1074
00:54:12,693 --> 00:54:16,133
Speaker 3: a myriad of industries that may make some of us uncomfortable.

1075
00:54:16,213 --> 00:54:18,493
Speaker 2: Yeah, what would you trust AI to do to you?

1076
00:54:18,853 --> 00:54:24,093
Speaker 2: Or would you or do to you? Or trusting AI

1077
00:54:24,213 --> 00:54:26,133
Speaker 2: driving you around? Melissa? Your thoughts on this?

1078
00:54:27,013 --> 00:54:31,013
Speaker 21: Hi, guys, Yeah, like my parents they're getting a bet

1079
00:54:31,053 --> 00:54:33,213
Speaker 21: on it sort of thing. So I fairly even trust

1080
00:54:33,493 --> 00:54:37,373
Speaker 21: my parents driving my own cats, right, So when and

1081
00:54:37,573 --> 00:54:40,853
Speaker 21: at what point would I start trusting machine to start

1082
00:54:40,933 --> 00:54:42,133
Speaker 21: driving by around?

1083
00:54:42,773 --> 00:54:43,813
Speaker 18: But you know it's.

1084
00:54:43,653 --> 00:54:47,413
Speaker 21: Like like even with thunderstorms and stuff, well you needed

1085
00:54:47,493 --> 00:54:50,773
Speaker 21: a bit of atmospheric interference or something and then your

1086
00:54:50,773 --> 00:54:53,213
Speaker 21: TP goes out. So how do you know that a

1087
00:54:53,333 --> 00:54:56,213
Speaker 21: car driving you know, automated cars are not going to

1088
00:54:56,293 --> 00:54:58,253
Speaker 21: cut out when you're in your kids are in the backseat.

1089
00:54:58,453 --> 00:54:59,053
Speaker 21: That's sort of thing.

1090
00:54:59,773 --> 00:55:02,773
Speaker 2: Yeah, I'll be interested. I'm not sure exactly how it works,

1091
00:55:02,773 --> 00:55:04,573
Speaker 2: and I've seen a lot of footage on it, but

1092
00:55:04,573 --> 00:55:06,933
Speaker 2: I'm not sure whether it loads down it's map beforehand

1093
00:55:07,013 --> 00:55:10,053
Speaker 2: and then it's an analysis of what's going on around.

1094
00:55:10,093 --> 00:55:12,293
Speaker 2: It is within the car. So as long as the

1095
00:55:12,293 --> 00:55:15,093
Speaker 2: batteries charged, then it's got the swinging cameras and it's

1096
00:55:15,333 --> 00:55:17,613
Speaker 2: making all those decisions. But what would it take for

1097
00:55:17,693 --> 00:55:23,213
Speaker 2: you to trust an AI driver with your kids if

1098
00:55:23,253 --> 00:55:25,413
Speaker 2: the percent if the percent came back and they were

1099
00:55:25,733 --> 00:55:28,172
Speaker 2: because you bring up a reasonable point, you could have

1100
00:55:28,773 --> 00:55:31,133
Speaker 2: an eighty five year old and no offense to eighty

1101
00:55:31,133 --> 00:55:32,733
Speaker 2: five year olds. I mean a lot of them are

1102
00:55:32,733 --> 00:55:36,253
Speaker 2: better drivers than twenty five year old. Yes, but you

1103
00:55:36,253 --> 00:55:39,053
Speaker 2: could have someone with their driver's license who isn't a

1104
00:55:39,093 --> 00:55:42,013
Speaker 2: great driver, and you're right, you trust your kids with

1105
00:55:42,013 --> 00:55:44,613
Speaker 2: that person. If the percentage the percentages came back and

1106
00:55:44,653 --> 00:55:48,133
Speaker 2: AI was, let's say, one hundred percent or ninety nine

1107
00:55:48,173 --> 00:55:52,973
Speaker 2: point nine percent safe, would you then, because.

1108
00:55:52,693 --> 00:55:56,253
Speaker 21: No human is, no, no exactly, but nothing's one hundred percent.

1109
00:55:56,333 --> 00:55:58,253
Speaker 21: I mean, like just drive home right now. Like I

1110
00:55:58,293 --> 00:56:00,773
Speaker 21: had to swerve over to pull over so that the

1111
00:56:00,773 --> 00:56:02,893
Speaker 21: bus could come out because it was more of a

1112
00:56:02,933 --> 00:56:06,652
Speaker 21: skinny rope. So like you know those micro decisions that

1113
00:56:06,693 --> 00:56:10,133
Speaker 21: you make as a driver just to keep yourself safe,

1114
00:56:10,413 --> 00:56:12,893
Speaker 21: you know, like can I actually ever do that?

1115
00:56:13,053 --> 00:56:13,732
Speaker 6: So yeah?

1116
00:56:13,813 --> 00:56:13,973
Speaker 22: Yeah?

1117
00:56:14,253 --> 00:56:16,893
Speaker 21: And then putting by kids in the car, Yeah, so

1118
00:56:16,973 --> 00:56:17,493
Speaker 21: I don't.

1119
00:56:17,333 --> 00:56:20,173
Speaker 3: Know, would you do it yourself, Melissa.

1120
00:56:21,293 --> 00:56:22,893
Speaker 18: No, No, like drive.

1121
00:56:23,773 --> 00:56:25,853
Speaker 3: Yeah, I just say that is I mean, when I

1122
00:56:25,893 --> 00:56:29,093
Speaker 3: think about this sort of technology, I might do it

1123
00:56:29,133 --> 00:56:31,893
Speaker 3: for myself, but I'd never trust it with anyone else

1124
00:56:31,933 --> 00:56:33,893
Speaker 3: I love. And I think that says, you know a

1125
00:56:33,893 --> 00:56:36,053
Speaker 3: lot about the argument here that I'm willing to take

1126
00:56:36,053 --> 00:56:38,853
Speaker 3: a punt for myself, but it's still a punt. I

1127
00:56:38,853 --> 00:56:42,013
Speaker 3: still see it as a punt, even though the percentage

1128
00:56:42,013 --> 00:56:44,573
Speaker 3: would probably come back and say it's fast, safer than

1129
00:56:44,653 --> 00:56:46,533
Speaker 3: humans doing any of these things.

1130
00:56:46,973 --> 00:56:51,533
Speaker 21: Yeah, well it's I haven't seensed that, so you know,

1131
00:56:51,893 --> 00:56:52,653
Speaker 21: until it's proven.

1132
00:56:52,853 --> 00:56:58,573
Speaker 2: Yeah, you go. Well, in the States, the the Wima,

1133
00:56:58,733 --> 00:57:01,493
Speaker 2: the Wimo driverless textis that currently do two hundred and

1134
00:57:01,533 --> 00:57:02,853
Speaker 2: fifty k texti rides a week.

1135
00:57:04,173 --> 00:57:06,893
Speaker 7: Have they done New Zealand skinny roads like, well, yeah,

1136
00:57:06,933 --> 00:57:07,453
Speaker 7: good points.

1137
00:57:07,893 --> 00:57:08,253
Speaker 23: I don't know.

1138
00:57:08,413 --> 00:57:10,493
Speaker 2: Yeah. A friend of mine got one home recently from

1139
00:57:10,573 --> 00:57:12,493
Speaker 2: from from the pub and when he was in Los

1140
00:57:12,493 --> 00:57:15,813
Speaker 2: Angeles just got a driver's sex taxi home. He said

1141
00:57:15,853 --> 00:57:18,573
Speaker 2: it was very weird, it would but I got them home,

1142
00:57:19,133 --> 00:57:20,933
Speaker 2: got home. I think you know, it's it's going on

1143
00:57:20,933 --> 00:57:23,773
Speaker 2: a motorway, it's changing lanes, it's pulling up at red lights.

1144
00:57:23,933 --> 00:57:27,253
Speaker 2: It's it's it's it's already there. It's already happening. But

1145
00:57:27,293 --> 00:57:29,213
Speaker 2: would you have for your kids in there to take

1146
00:57:29,213 --> 00:57:30,133
Speaker 2: them to school in the morning?

1147
00:57:30,373 --> 00:57:32,613
Speaker 3: Stupid question? But when I don't know if you know,

1148
00:57:32,813 --> 00:57:34,733
Speaker 3: when you jump in there, do you talk to the

1149
00:57:34,773 --> 00:57:36,293
Speaker 3: car and say where you want to go? Or you

1150
00:57:36,293 --> 00:57:37,133
Speaker 3: just put it in your app?

1151
00:57:37,173 --> 00:57:38,173
Speaker 2: It's been in your app already.

1152
00:57:38,213 --> 00:57:39,933
Speaker 3: And then when you jump in there, is there some

1153
00:57:40,013 --> 00:57:41,693
Speaker 3: sort of good afternoon sir?

1154
00:57:42,293 --> 00:57:44,613
Speaker 2: You know you're thinking of total recall one with the

1155
00:57:44,893 --> 00:57:45,573
Speaker 2: Johnny cabs.

1156
00:57:46,053 --> 00:57:46,413
Speaker 3: I don't know.

1157
00:57:47,653 --> 00:57:49,773
Speaker 2: There's not a little robot behind the steering wheel.

1158
00:57:49,813 --> 00:57:52,293
Speaker 3: Oh okay, made me feel a bit more comfortable.

1159
00:57:52,333 --> 00:57:54,293
Speaker 2: But boy, how much easy would people's life be if

1160
00:57:54,333 --> 00:57:57,333
Speaker 2: they did just started trusting that? Because people say, can

1161
00:57:57,373 --> 00:57:59,773
Speaker 2: you trust ai? But I mean the biggest problem that

1162
00:57:59,813 --> 00:58:01,413
Speaker 2: you have when you're putting having your kid in an

1163
00:58:01,493 --> 00:58:04,333
Speaker 2: uber or a taxi asgain your trust the driver. I mean,

1164
00:58:04,373 --> 00:58:07,013
Speaker 2: humans aren't hugely trust where they are there in a

1165
00:58:07,133 --> 00:58:07,813
Speaker 2: number of ways.

1166
00:58:08,333 --> 00:58:11,293
Speaker 3: Also mentioned you know some of the older people in

1167
00:58:12,133 --> 00:58:14,493
Speaker 3: New Zealand and around the world, and as you mentioned,

1168
00:58:14,493 --> 00:58:16,333
Speaker 3: a lot of them are better drivers than young drivers.

1169
00:58:16,493 --> 00:58:18,893
Speaker 3: But a lot of them are not able to drive anymore,

1170
00:58:18,933 --> 00:58:21,813
Speaker 3: and this gives them back independence. If there is this technology,

1171
00:58:21,973 --> 00:58:24,413
Speaker 3: it's been utilized in America just for that, to give

1172
00:58:24,453 --> 00:58:27,133
Speaker 3: people who cannot drive any more independence again that they

1173
00:58:27,133 --> 00:58:28,253
Speaker 3: can get to where they need to go.

1174
00:58:28,493 --> 00:58:31,013
Speaker 2: Well, I've been in consitions before when i haven't been

1175
00:58:31,013 --> 00:58:34,013
Speaker 2: able to drive anymore after a night at the pub.

1176
00:58:34,533 --> 00:58:37,613
Speaker 2: How soon would it be that legally they would go? Well,

1177
00:58:37,613 --> 00:58:39,733
Speaker 2: this is you know, if you can put children in

1178
00:58:39,373 --> 00:58:44,213
Speaker 2: this car, if you can put you know, influids, and well,

1179
00:58:44,293 --> 00:58:48,533
Speaker 2: why not someone that's impaired, alcoholically impaired, absolutely driverless car,

1180
00:58:48,613 --> 00:58:49,093
Speaker 2: take them home.

1181
00:58:49,173 --> 00:58:51,533
Speaker 3: Oh eight hundred and eighty ten eighty is the number

1182
00:58:51,533 --> 00:58:54,253
Speaker 3: to call. It is bang on two thirty back.

1183
00:58:54,373 --> 00:59:00,253
Speaker 1: Very surely, Hu's talks'd be headlines.

1184
00:58:59,773 --> 00:59:03,213
Speaker 14: With blue bubble taxis. It's no trouble with a blue bubble.

1185
00:59:03,813 --> 00:59:07,013
Speaker 14: Ninety kilos of meth worth up to thirty four million

1186
00:59:07,093 --> 00:59:09,973
Speaker 14: dollars has been set east in less than twelve hours

1187
00:59:10,133 --> 00:59:13,613
Speaker 14: at Auckland Airport over the weekend in abandoned bags from

1188
00:59:13,613 --> 00:59:18,173
Speaker 14: Malaysia and Ala. Health New Zealand says it's acting urgently

1189
00:59:18,213 --> 00:59:21,573
Speaker 14: to apply for facilitation to help resolve a pay issue

1190
00:59:21,573 --> 00:59:25,813
Speaker 14: with senior doctors who plan to strike on Thursday, hopes

1191
00:59:25,853 --> 00:59:29,813
Speaker 14: the government's decision to cover teacher registration fees will keep

1192
00:59:29,853 --> 00:59:34,093
Speaker 14: them from leaving the profession. A coroner's heard police warned

1193
00:59:34,093 --> 00:59:37,173
Speaker 14: a woman who'd been spending time with a paroled rapist

1194
00:59:37,453 --> 00:59:42,213
Speaker 14: about his history, but his neighbor, Juliana Herrera, wasn't given

1195
00:59:42,293 --> 00:59:47,133
Speaker 14: any information and was murdered. Women's Refuge is getting funding

1196
00:59:47,213 --> 00:59:50,573
Speaker 14: for giving staff more training on mental health and addiction.

1197
00:59:51,533 --> 00:59:55,173
Speaker 14: Auckland Council and Water Care are acknowledging the significant impact

1198
00:59:55,253 --> 00:59:58,933
Speaker 14: of works off the CBD's Queen Street with hoardings and

1199
00:59:58,973 --> 01:00:03,533
Speaker 14: fencing at Victoria and Wellesley Street around wastewater upgrades and

1200
01:00:03,773 --> 01:00:07,693
Speaker 14: work on the city rail Link. David Seymour sides with

1201
01:00:07,773 --> 01:00:12,053
Speaker 14: banks are to disappointing advice from Regulation Ministry. Read more

1202
01:00:12,133 --> 01:00:15,893
Speaker 14: at Enzen Herald Premium. Back to matt Ethan Tyna Adams.

1203
01:00:15,573 --> 01:00:17,453
Speaker 3: Thank you very much, Ray Lean, And we're talking about

1204
01:00:17,453 --> 01:00:21,373
Speaker 3: AI technology being utilized in industries that might make some

1205
01:00:21,413 --> 01:00:27,133
Speaker 3: of us uncomfortable medicine, surgery and therapy, among many others,

1206
01:00:27,133 --> 01:00:29,173
Speaker 3: including the transport industry.

1207
01:00:29,413 --> 01:00:34,093
Speaker 2: Yeah, so this medtronic Hugo Robert was tested one hundred

1208
01:00:34,133 --> 01:00:37,373
Speaker 2: and thirty seven real surgeries involving prostates, kidneys, and bladders

1209
01:00:37,813 --> 01:00:40,853
Speaker 2: complication rates this is this year. We're impressively low three

1210
01:00:40,853 --> 01:00:45,093
Speaker 2: point seven percent comm three point seven percent complication rate

1211
01:00:45,133 --> 01:00:48,373
Speaker 2: for prostate, one point nine for kidney, and seventeen point

1212
01:00:48,493 --> 01:00:51,013
Speaker 2: nine for bladder surgeries. That doesn't sound great. Seventeen point

1213
01:00:51,093 --> 01:00:55,893
Speaker 2: nine complication rate for bladder surgeries with this medtronic robot. Yeah,

1214
01:00:55,933 --> 01:00:57,933
Speaker 2: i'd want it better to be that. I wanted a

1215
01:00:57,933 --> 01:01:01,333
Speaker 2: lot better than what was the three point seven for prostates.

1216
01:01:01,333 --> 01:01:02,493
Speaker 2: Good at prostate, so I can.

1217
01:01:02,373 --> 01:01:04,333
Speaker 3: Figure out prostate, it's the bladder a little bit.

1218
01:01:04,453 --> 01:01:07,493
Speaker 2: I'd actually have to know the complication rate on you know,

1219
01:01:07,853 --> 01:01:11,533
Speaker 2: actual human surgery. Hugo achieved a ninety eight point five

1220
01:01:11,573 --> 01:01:14,333
Speaker 2: percent success rate, far exceeding the eighty five percent target.

1221
01:01:14,693 --> 01:01:17,373
Speaker 2: So yeah, they believe within a couple of years they'll

1222
01:01:17,853 --> 01:01:20,413
Speaker 2: be as good as human surgeons, and within five years

1223
01:01:20,453 --> 01:01:23,533
Speaker 2: better than the best human surgeons. Yeah, that's interesting. Hey,

1224
01:01:23,933 --> 01:01:28,373
Speaker 2: speaking of AI and online therapy, I've done a little

1225
01:01:28,373 --> 01:01:31,053
Speaker 2: bit of therapy here. Okay, right, gone to one YEP,

1226
01:01:31,893 --> 01:01:36,013
Speaker 2: so I entered, I am sad, it responded, I'm really

1227
01:01:36,013 --> 01:01:38,173
Speaker 2: sorry to hear that. You're feeling, said, can you tell

1228
01:01:38,213 --> 01:01:40,733
Speaker 2: me more about what's contributing to those feelings right now?

1229
01:01:41,493 --> 01:01:43,173
Speaker 2: I said, I have a useless co host on my

1230
01:01:43,293 --> 01:01:46,933
Speaker 2: radio show. That sounds really frustrating. It can be tough

1231
01:01:46,973 --> 01:01:49,093
Speaker 2: to it with someone who isn't contributing as you would hope,

1232
01:01:49,173 --> 01:01:51,533
Speaker 2: especially in a collaborative environment like a radio show. What

1233
01:01:51,613 --> 01:01:54,653
Speaker 2: specifically is making you feel that way about your co host?

1234
01:01:55,733 --> 01:01:58,293
Speaker 2: I answered? What should I do to him? It sounds

1235
01:01:58,373 --> 01:02:00,653
Speaker 2: like you're feeling quite overwhelmed by the situation with your

1236
01:02:00,693 --> 01:02:03,013
Speaker 2: co host. Before we think about actions to take, can

1237
01:02:03,053 --> 01:02:05,733
Speaker 2: we share more about his behavior and how it is

1238
01:02:05,773 --> 01:02:09,733
Speaker 2: affecting you? I responded, personal hygiene as problem sometimes gets

1239
01:02:09,773 --> 01:02:12,133
Speaker 2: my coffee order wrong, and the end before it answer,

1240
01:02:12,133 --> 01:02:14,853
Speaker 2: I had to chart. I had to start a paid subscription.

1241
01:02:14,933 --> 01:02:16,613
Speaker 2: That was all the free questions I got.

1242
01:02:17,053 --> 01:02:18,373
Speaker 3: And what did it say to that? I didn't give

1243
01:02:18,373 --> 01:02:18,973
Speaker 3: an answer.

1244
01:02:18,733 --> 01:02:19,933
Speaker 2: To that, lt I'm going to have to pay nine

1245
01:02:19,973 --> 01:02:21,493
Speaker 2: to ninety five a month to get the answer to that.

1246
01:02:21,533 --> 01:02:23,413
Speaker 3: Well, cough up. It's about time you start coughing up

1247
01:02:23,413 --> 01:02:24,693
Speaker 3: for good technology around here, man.

1248
01:02:24,813 --> 01:02:26,413
Speaker 2: But diplomatic, you've got to say that.

1249
01:02:27,053 --> 01:02:29,373
Speaker 3: I think we could use that every day on the show.

1250
01:02:29,253 --> 01:02:31,653
Speaker 2: This Texas said. I totally said to my son about

1251
01:02:31,933 --> 01:02:34,653
Speaker 2: ten years ago that the first profession to get replaced

1252
01:02:34,653 --> 01:02:36,813
Speaker 2: by AI will be doctors, no doubt about it, because

1253
01:02:36,853 --> 01:02:40,813
Speaker 2: they are already dependent on machines with the diagnosis diagnostic processes.

1254
01:02:40,853 --> 01:02:44,133
Speaker 2: The test that did indicates when and put all testing

1255
01:02:44,173 --> 01:02:46,813
Speaker 2: results of a patient. The computer gives far more accurate

1256
01:02:47,093 --> 01:02:52,853
Speaker 2: diagnosis conclusions and better treatments options. Yeah, but what about

1257
01:02:52,853 --> 01:02:56,293
Speaker 2: the actual cold, hard cutting surgery part of it. Yeah,

1258
01:02:56,773 --> 01:03:01,733
Speaker 2: cray your thoughts on AI involvement in human life.

1259
01:03:01,933 --> 01:03:04,013
Speaker 5: It's a funny one because I've got a little graindorter

1260
01:03:04,093 --> 01:03:09,093
Speaker 5: and she was born was major, major hard issues, you know,

1261
01:03:09,213 --> 01:03:14,173
Speaker 5: three months old. She's had twenty eight hours of overt surgery. Now,

1262
01:03:14,493 --> 01:03:18,413
Speaker 5: I sort of hope that one day there will be

1263
01:03:18,493 --> 01:03:22,493
Speaker 5: AI heart or the robot at heart, that she may

1264
01:03:22,533 --> 01:03:25,693
Speaker 5: be able to be as a top. But I do

1265
01:03:25,933 --> 01:03:28,413
Speaker 5: want a human to put it in it and club

1266
01:03:28,453 --> 01:03:28,773
Speaker 5: it up.

1267
01:03:29,973 --> 01:03:32,613
Speaker 3: Yeah, and why why do you? Why do you feel

1268
01:03:32,653 --> 01:03:34,133
Speaker 3: that way? Where because.

1269
01:03:35,853 --> 01:03:39,893
Speaker 5: These robots, I mean, humans can think outside the square

1270
01:03:40,013 --> 01:03:44,733
Speaker 5: when when things go wrong, robots have to have everything

1271
01:03:47,773 --> 01:03:52,373
Speaker 5: programmed into them, not every scenario. It's old. You know,

1272
01:03:52,493 --> 01:03:54,813
Speaker 5: different things happen all the time, and I'm the same

1273
01:03:54,853 --> 01:03:57,813
Speaker 5: as a pilot. You know, a human pilot can think

1274
01:03:57,853 --> 01:04:02,093
Speaker 5: outside the square of something's gone wrong. A robotic pilot

1275
01:04:02,613 --> 01:04:08,373
Speaker 5: or definitely have good program to do stuff, But I

1276
01:04:08,373 --> 01:04:13,133
Speaker 5: don't know how against every single problem that could arise.

1277
01:04:13,413 --> 01:04:15,533
Speaker 2: Well, I guess the argument now with AI, which is

1278
01:04:15,533 --> 01:04:17,333
Speaker 2: a bit different from having to be programmed, is that

1279
01:04:17,373 --> 01:04:21,853
Speaker 2: it can learn. It can be taught on everything that's

1280
01:04:21,893 --> 01:04:24,453
Speaker 2: ever happened in a plane ever. It can have that

1281
01:04:24,493 --> 01:04:29,413
Speaker 2: at its fingerptips and it can analyze that within fractions

1282
01:04:29,613 --> 01:04:33,173
Speaker 2: of a second. So having the complete knowledge of every

1283
01:04:33,213 --> 01:04:36,893
Speaker 2: single accident of all time, every plane incident that's ever

1284
01:04:37,453 --> 01:04:38,173
Speaker 2: ever happened.

1285
01:04:40,213 --> 01:04:44,733
Speaker 5: So it's so new, isn't it. You know, it's sort

1286
01:04:44,773 --> 01:04:49,013
Speaker 5: of overwhelming thinking wrote bonics taking your life on the head.

1287
01:04:49,053 --> 01:04:51,773
Speaker 5: I think some surgeries i'd be happy with, you know,

1288
01:04:51,813 --> 01:04:53,293
Speaker 5: if I had a bit of a melon over to

1289
01:04:53,413 --> 01:04:58,293
Speaker 5: be taken out of days. But then like open heart

1290
01:04:58,413 --> 01:05:02,013
Speaker 5: surgery and that kind of thing, I just rather have.

1291
01:05:02,053 --> 01:05:05,653
Speaker 2: A human Yeah, I think I think you're right right,

1292
01:05:06,133 --> 01:05:08,253
Speaker 2: I agree with you, Craig. I would I would rather

1293
01:05:08,373 --> 01:05:12,173
Speaker 2: that as well. But down the track, if it becomes

1294
01:05:12,213 --> 01:05:16,053
Speaker 2: clear that humans are making mistakes more often than robots.

1295
01:05:16,133 --> 01:05:19,773
Speaker 2: Then you know, you might end up having to make

1296
01:05:19,773 --> 01:05:22,933
Speaker 2: the decision with a you know, a young child. That'd

1297
01:05:22,973 --> 01:05:25,653
Speaker 2: be a tough decision to make. You're like, just across

1298
01:05:25,693 --> 01:05:29,253
Speaker 2: the board, this robot is in, This AI technology is

1299
01:05:31,333 --> 01:05:35,853
Speaker 2: three percent better than a human boy. I mean those

1300
01:05:35,933 --> 01:05:37,453
Speaker 2: decisions that people are going to have to make in

1301
01:05:37,493 --> 01:05:37,933
Speaker 2: the future.

1302
01:05:38,053 --> 01:05:40,613
Speaker 3: But the more even though I agree with both of you,

1303
01:05:40,693 --> 01:05:43,453
Speaker 3: I'd be very uncomfortable with a robot doing any sort

1304
01:05:43,493 --> 01:05:46,773
Speaker 3: of surgery on me. Does that not make more sense

1305
01:05:46,973 --> 01:05:51,533
Speaker 3: than something like a therapy bot, because therapy arguably is

1306
01:05:51,773 --> 01:05:56,533
Speaker 3: about empathy and critical thinking and like Craig says, thinking

1307
01:05:56,573 --> 01:06:01,293
Speaker 3: outside the box. Whereas surgery, if you're competent at at

1308
01:06:01,333 --> 01:06:04,333
Speaker 3: being a surgeon, yes you might have a good bedside manner,

1309
01:06:04,333 --> 01:06:07,053
Speaker 3: but when you're in that theater room, that is all

1310
01:06:07,133 --> 01:06:10,533
Speaker 3: then down to buy the numbers, right, Yeah, at that

1311
01:06:10,613 --> 01:06:12,893
Speaker 3: point there's not too much empathy that's in the mix.

1312
01:06:12,973 --> 01:06:15,173
Speaker 2: Yeah, exactly, like surgeons you want to have that that

1313
01:06:15,813 --> 01:06:17,693
Speaker 2: you want them behaving like a robot. You want a

1314
01:06:17,693 --> 01:06:21,013
Speaker 2: heart surgeon that's done at you know, four hundred operations

1315
01:06:21,093 --> 01:06:24,053
Speaker 2: rather than the one that's there. Hi guys, we were

1316
01:06:24,053 --> 01:06:26,013
Speaker 2: in Beverly Hills over Easter and there are plenty of

1317
01:06:26,653 --> 01:06:29,853
Speaker 2: driverless cars there and they just cut through the traffic. Amazing.

1318
01:06:29,893 --> 01:06:32,813
Speaker 2: Plus they have these small four wheel buggies like a

1319
01:06:32,933 --> 01:06:35,853
Speaker 2: chili bin on wheels driving around the footpaths doing driverless

1320
01:06:35,853 --> 01:06:38,933
Speaker 2: food deliveries. It's amazing. I saw those. I saw those

1321
01:06:38,973 --> 01:06:43,013
Speaker 2: waiting at the crossings to cross the road with their

1322
01:06:43,093 --> 01:06:44,333
Speaker 2: little noodles in them.

1323
01:06:44,933 --> 01:06:47,293
Speaker 3: Oh eight hundred eighty ten eighty is the number to call.

1324
01:06:47,453 --> 01:06:49,893
Speaker 3: How do you feel about the rise of AI technology

1325
01:06:49,973 --> 01:06:53,453
Speaker 3: in industries like medicine, transport and other Really keen to

1326
01:06:53,493 --> 01:06:56,573
Speaker 3: get your thoughts. It is twenty two three.

1327
01:06:57,933 --> 01:07:01,133
Speaker 1: Matt Heath Taylor Adams taking your calls on Oh, eight

1328
01:07:01,213 --> 01:07:04,893
Speaker 1: hundred eighty ten eighty. It's Mad Heathen Taylor Adams afternoons

1329
01:07:05,053 --> 01:07:05,573
Speaker 1: news talks.

1330
01:07:05,613 --> 01:07:08,613
Speaker 3: That be good afternoon to you. It is seventeen three

1331
01:07:08,653 --> 01:07:11,933
Speaker 3: and having a great discussion about AI use in industries

1332
01:07:12,013 --> 01:07:15,053
Speaker 3: like medicine, surgery, therapy, transports.

1333
01:07:15,573 --> 01:07:17,893
Speaker 2: Guys, humans could not figure out that the autopilot was

1334
01:07:17,893 --> 01:07:20,293
Speaker 2: engaged on the Navy vessel. Do you think that AI

1335
01:07:20,333 --> 01:07:22,613
Speaker 2: would have it a similar problem? I think definitely not.

1336
01:07:22,773 --> 01:07:23,493
Speaker 2: That's from George.

1337
01:07:23,533 --> 01:07:25,253
Speaker 3: Yeah, I could have saved US one hundred and eighty million.

1338
01:07:26,293 --> 01:07:29,893
Speaker 2: Brain surgery already done with by robots when putting chips

1339
01:07:29,933 --> 01:07:33,013
Speaker 2: into the brain because fibers are too fine and too

1340
01:07:33,053 --> 01:07:36,613
Speaker 2: many of them are one of Elon's businesses. Yeah, that's right, Neurolink.

1341
01:07:37,893 --> 01:07:41,053
Speaker 2: I was reading about Neurolink before actually, and they're doing

1342
01:07:41,093 --> 01:07:45,293
Speaker 2: all basically all there are implants using AI.

1343
01:07:45,813 --> 01:07:48,253
Speaker 3: Robots and too great success, I take it.

1344
01:07:48,613 --> 01:07:50,933
Speaker 2: Yeah, well yeah, I think so well.

1345
01:07:50,773 --> 01:07:52,493
Speaker 3: As the Texas siege, you know, and it makes sense

1346
01:07:52,533 --> 01:07:56,693
Speaker 3: that if the fibers are too fine and too many

1347
01:07:56,733 --> 01:07:59,453
Speaker 3: of them for human hands, what other options do you have.

1348
01:08:00,213 --> 01:08:01,973
Speaker 3: I'm just having a look at I'm not that familiar

1349
01:08:01,973 --> 01:08:04,973
Speaker 3: with neurolink surgery.

1350
01:08:05,253 --> 01:08:05,453
Speaker 6: Yeah.

1351
01:08:05,533 --> 01:08:08,653
Speaker 2: So they're blasting, you know, blusting the little things rid

1352
01:08:08,693 --> 01:08:11,053
Speaker 2: into people's brains, right, yeah, amazing.

1353
01:08:11,173 --> 01:08:13,293
Speaker 3: Interesting. So anyone can sign up for that? Is that?

1354
01:08:13,493 --> 01:08:13,693
Speaker 4: No?

1355
01:08:13,973 --> 01:08:17,213
Speaker 2: I think it's I think it's mainly for people that

1356
01:08:17,733 --> 01:08:18,893
Speaker 2: have problems communicating.

1357
01:08:19,093 --> 01:08:19,372
Speaker 4: Ah.

1358
01:08:19,492 --> 01:08:21,532
Speaker 2: Yeah, so it's it's ways to control, you.

1359
01:08:21,492 --> 01:08:22,853
Speaker 3: Know, fascinating technology.

1360
01:08:22,893 --> 01:08:27,852
Speaker 2: Yeah. Yes, So Neurolink has used robots for brain computer

1361
01:08:28,253 --> 01:08:31,213
Speaker 2: electrode insertion, as it's impossible for a human to achieved

1362
01:08:31,213 --> 01:08:34,092
Speaker 2: a requires speed and precision, so it's already happening.

1363
01:08:34,213 --> 01:08:36,812
Speaker 3: Yeah, makes sense. One hundred eighty ten eighty is the

1364
01:08:36,893 --> 01:08:38,532
Speaker 3: number to call Blair.

1365
01:08:39,253 --> 01:08:41,372
Speaker 15: How are you good, guys?

1366
01:08:41,372 --> 01:08:42,213
Speaker 16: How are you doing good?

1367
01:08:42,213 --> 01:08:45,692
Speaker 3: How do you feel about AI and being involved in

1368
01:08:45,732 --> 01:08:47,013
Speaker 3: some of these industries?

1369
01:08:48,372 --> 01:08:51,052
Speaker 16: Yeah, I don't know. Has anyone seen I robot matrix?

1370
01:08:51,253 --> 01:08:56,052
Speaker 16: I mean, you know the jokes aside. You're talking about

1371
01:08:56,093 --> 01:09:00,093
Speaker 16: that eighty five percent target rate successful target rate for

1372
01:09:00,173 --> 01:09:05,492
Speaker 16: this test group. That's obviously on a select amount of people,

1373
01:09:05,572 --> 01:09:10,132
Speaker 16: So your failure rate in humans is probably relatively small.

1374
01:09:10,853 --> 01:09:13,053
Speaker 16: How many humans, though, are going to build up or

1375
01:09:13,093 --> 01:09:16,172
Speaker 16: make up that eighty five percent or the fifteen percent

1376
01:09:16,572 --> 01:09:20,012
Speaker 16: failure if they run with us in the future, it's

1377
01:09:20,053 --> 01:09:21,852
Speaker 16: going to you know, the amount of humans that are

1378
01:09:21,853 --> 01:09:25,772
Speaker 16: going to have potentially not a very good time because

1379
01:09:25,812 --> 01:09:30,372
Speaker 16: of a non success rate is slightly to be quite high.

1380
01:09:30,692 --> 01:09:34,013
Speaker 2: Yeah. So these robots got a ninety eight point five

1381
01:09:34,053 --> 01:09:38,572
Speaker 2: percent success rate and surgery, the completely autonomous ones, way

1382
01:09:38,572 --> 01:09:41,213
Speaker 2: above the eighty five percent goal. But this was just tests,

1383
01:09:41,253 --> 01:09:43,452
Speaker 2: so they think at ninety eight point five percent, it's

1384
01:09:43,492 --> 01:09:47,772
Speaker 2: not ready to be rolled out as you know, as

1385
01:09:47,973 --> 01:09:51,492
Speaker 2: a standard thing. This is just still in the trials

1386
01:09:51,572 --> 01:09:53,772
Speaker 2: at the moment. So ninety eight point five percent is

1387
01:09:53,812 --> 01:09:55,213
Speaker 2: not good enough for them at this point, but they

1388
01:09:55,253 --> 01:09:57,052
Speaker 2: thought at the stage they'd only be sitting at eighty

1389
01:09:57,053 --> 01:10:00,692
Speaker 2: five percent. But whatever that means. You know, one hundred

1390
01:10:00,692 --> 01:10:03,293
Speaker 2: and thirty seven surgeries, only two needed to switch back

1391
01:10:03,333 --> 01:10:06,652
Speaker 2: to regular surgery, one because of robot glitch and one

1392
01:10:06,732 --> 01:10:09,812
Speaker 2: because of a tricky pace in case. So these are

1393
01:10:10,013 --> 01:10:12,333
Speaker 2: they're doing it, but they've got surgeons standing around, you know,

1394
01:10:12,372 --> 01:10:14,372
Speaker 2: and monitoring what's going on and jumping in if there's

1395
01:10:14,412 --> 01:10:16,133
Speaker 2: a there's a problem.

1396
01:10:15,853 --> 01:10:18,333
Speaker 16: Right, Okay, Because I was going to say, have any

1397
01:10:18,372 --> 01:10:25,412
Speaker 16: of you watched that TV series Surgeon's Life on the Edge? Okay,

1398
01:10:25,492 --> 01:10:28,052
Speaker 16: so it's on Bravo I think it is. But anyway,

1399
01:10:28,612 --> 01:10:34,932
Speaker 16: they go into into quite complex procedures with specialists from

1400
01:10:35,013 --> 01:10:37,572
Speaker 16: all sorts of fields, depending what the operation is. But

1401
01:10:37,612 --> 01:10:39,812
Speaker 16: the one I saw recently, they were taking out a

1402
01:10:39,853 --> 01:10:47,892
Speaker 16: tumor of cancerous growth out of the jawline and it

1403
01:10:48,013 --> 01:10:52,772
Speaker 16: was very close to you essentially killing this lady because

1404
01:10:52,812 --> 01:10:55,933
Speaker 16: it was right beside the corona artery and everything, and

1405
01:10:56,013 --> 01:11:00,133
Speaker 16: one slip up. But anyway, the point is all these

1406
01:11:00,173 --> 01:11:03,973
Speaker 16: collaborative surgeons came in and said, if we open up

1407
01:11:04,013 --> 01:11:07,412
Speaker 16: and we find this, we're going to have to change

1408
01:11:07,412 --> 01:11:12,213
Speaker 16: out tech and go to Plan B. If Plan B

1409
01:11:12,372 --> 01:11:15,452
Speaker 16: doesn't work out, we've got Plan C, and at worst

1410
01:11:15,452 --> 01:11:19,692
Speaker 16: case scenario, we've got Plan B. I'm just wondering if

1411
01:11:19,732 --> 01:11:21,173
Speaker 16: the AI can do all that.

1412
01:11:21,853 --> 01:11:25,933
Speaker 2: Yeah, that's the idea would be that AI would have

1413
01:11:25,933 --> 01:11:29,532
Speaker 2: had would have learned from every single piece of surgery

1414
01:11:29,572 --> 01:11:32,132
Speaker 2: in that area. It could possibly get pumped into its system.

1415
01:11:32,572 --> 01:11:36,333
Speaker 2: And we were talking about therapy before, right, and you

1416
01:11:36,372 --> 01:11:38,772
Speaker 2: know the back and forth between people, So what is

1417
01:11:38,812 --> 01:11:41,093
Speaker 2: someone that trains to be a therapist. They just read

1418
01:11:41,173 --> 01:11:43,053
Speaker 2: and read and read and learn and learn and learn,

1419
01:11:43,213 --> 01:11:47,173
Speaker 2: and from that they have responses that they give to people.

1420
01:11:47,452 --> 01:11:49,492
Speaker 2: It's the same with surgery, right, You learn and learn

1421
01:11:49,492 --> 01:11:50,933
Speaker 2: and learn what you're supposed to do when you have

1422
01:11:50,973 --> 01:11:54,492
Speaker 2: responses to problems, and that's what you bring to surgery.

1423
01:11:54,652 --> 01:11:58,452
Speaker 2: You bring your skills with the scalpel, and you bring

1424
01:11:58,572 --> 01:12:03,133
Speaker 2: your knowledge. But if you if the AI can have

1425
01:12:03,173 --> 01:12:06,612
Speaker 2: the same skills with the scalpel, it can also have

1426
01:12:07,093 --> 01:12:11,253
Speaker 2: much much larger knowledge than a human can hold and

1427
01:12:11,412 --> 01:12:14,972
Speaker 2: access it arguably much quicker. So unless there's some kind

1428
01:12:15,013 --> 01:12:18,053
Speaker 2: of a name like there's some kind of sense that

1429
01:12:18,133 --> 01:12:20,933
Speaker 2: humans have that above just the facts and figures and

1430
01:12:20,973 --> 01:12:25,453
Speaker 2: the learning. Then arguably, in the future the robot will

1431
01:12:25,772 --> 01:12:28,093
Speaker 2: be able to have a plan A, B, C, D, E,

1432
01:12:28,452 --> 01:12:30,452
Speaker 2: F G up to A thousand Blair.

1433
01:12:33,933 --> 01:12:35,333
Speaker 16: Yeah, you see, I just don't know.

1434
01:12:35,452 --> 01:12:36,692
Speaker 19: I just don't know if.

1435
01:12:36,532 --> 01:12:39,333
Speaker 16: It will develop to a point where it can essentially

1436
01:12:39,532 --> 01:12:40,253
Speaker 16: think on the fly.

1437
01:12:42,692 --> 01:12:45,293
Speaker 2: Yeah, I mean, I mean, arguably, if there's something that

1438
01:12:45,333 --> 01:12:49,092
Speaker 2: happens that's never happened before, is where AI has a problem,

1439
01:12:49,372 --> 01:12:52,372
Speaker 2: because it learns off and you know, maybe it can

1440
01:12:52,412 --> 01:12:57,693
Speaker 2: bring things together, but until there's general intelligence, general artificial intelligence,

1441
01:12:58,253 --> 01:13:00,692
Speaker 2: it's not necessarily creative. And I guess what you're saying,

1442
01:13:00,732 --> 01:13:04,012
Speaker 2: Blair is that the surgeon may have to create a

1443
01:13:04,133 --> 01:13:07,372
Speaker 2: solution that is to something that has never ever happened before,

1444
01:13:07,812 --> 01:13:09,772
Speaker 2: and that that might be a problem for AI.

1445
01:13:09,853 --> 01:13:13,293
Speaker 6: But yeah, it's interesting, and that's a real it's a

1446
01:13:13,372 --> 01:13:14,853
Speaker 6: it's a real world possibility.

1447
01:13:15,013 --> 01:13:16,372
Speaker 16: Yeah, that's the moment.

1448
01:13:16,772 --> 01:13:19,933
Speaker 3: Yeah, I could definitely say it being utilized, Blairs. So

1449
01:13:20,013 --> 01:13:22,612
Speaker 3: you've still got a human surgeon, but they've got AI

1450
01:13:22,772 --> 01:13:25,892
Speaker 3: in the background, and if there's something that goes wrong,

1451
01:13:26,452 --> 01:13:29,852
Speaker 3: then they request information from from the AI. Because as

1452
01:13:29,893 --> 01:13:33,973
Speaker 3: we know, AI can make decisions and milliseconds and utilize

1453
01:13:34,053 --> 01:13:37,253
Speaker 3: all that information that it's stored to hopefully give that

1454
01:13:37,293 --> 01:13:40,173
Speaker 3: surgeon the best course of events as it sees it,

1455
01:13:40,372 --> 01:13:42,372
Speaker 3: and then the surgeon makes up its mind. But that,

1456
01:13:42,452 --> 01:13:44,133
Speaker 3: to me would actually be a good use of AI.

1457
01:13:45,133 --> 01:13:48,652
Speaker 16: The brain. The brain is a pretty powerful computer and

1458
01:13:48,772 --> 01:13:53,213
Speaker 16: it can just listening to one of your other cause,

1459
01:13:53,492 --> 01:13:57,093
Speaker 16: was it, Melissa, she's talking about the driving Melissa, Yeah, yeah,

1460
01:13:57,173 --> 01:14:00,133
Speaker 16: I mean I've been in a situation where I was

1461
01:14:00,213 --> 01:14:02,652
Speaker 16: riding a motorbike. I was riding too fast, I wasn't

1462
01:14:02,652 --> 01:14:07,093
Speaker 16: going to make the corner, and my brain processed all

1463
01:14:07,133 --> 01:14:11,333
Speaker 16: this information and gave me all these options to lessen

1464
01:14:11,412 --> 01:14:18,692
Speaker 16: my chances of being hurt. It kind of panned out.

1465
01:14:18,732 --> 01:14:20,253
Speaker 16: I mean I still got hurt. I still wrote the

1466
01:14:20,253 --> 01:14:23,253
Speaker 16: bike off, but I didn't I didn't damage the car

1467
01:14:23,333 --> 01:14:25,972
Speaker 16: I was heading toward because I managed to miss that

1468
01:14:26,053 --> 01:14:28,612
Speaker 16: because one of the options was go up the footpath

1469
01:14:28,612 --> 01:14:30,173
Speaker 16: and try and ride back down onto the road.

1470
01:14:30,532 --> 01:14:33,093
Speaker 2: It's amazing how things slow down to that point in

1471
01:14:33,133 --> 01:14:36,372
Speaker 2: those emergencies. That's when our brain really becomes quite amazing

1472
01:14:36,772 --> 01:14:40,012
Speaker 2: because it has the ability to not actually slow time,

1473
01:14:40,133 --> 01:14:43,932
Speaker 2: but to pump resources such that you process what's happening

1474
01:14:43,973 --> 01:14:46,412
Speaker 2: and give yourself options like you did there, Blair.

1475
01:14:47,173 --> 01:14:49,412
Speaker 3: Isn't that one of the theories, the theories of the

1476
01:14:49,452 --> 01:14:53,333
Speaker 3: life flashing before your eyes is your brain utilizing every

1477
01:14:53,412 --> 01:14:56,053
Speaker 3: experience that you've come across that might be similar to

1478
01:14:56,093 --> 01:14:58,013
Speaker 3: one that you're about to get very hurt on, and

1479
01:14:58,053 --> 01:14:59,692
Speaker 3: then it makes a decision. That was one of the

1480
01:14:59,692 --> 01:15:01,053
Speaker 3: theories by neuroscientists.

1481
01:15:02,853 --> 01:15:06,532
Speaker 16: And I suppose in a way that's a form of AI, then,

1482
01:15:06,612 --> 01:15:10,293
Speaker 16: isn't it because it's taking past experien speriences and giving

1483
01:15:10,333 --> 01:15:13,173
Speaker 16: you options for what you're facing now.

1484
01:15:13,812 --> 01:15:15,772
Speaker 2: Yeah, you know, and.

1485
01:15:17,692 --> 01:15:21,133
Speaker 16: It's a difficult I'm not at the stage of it.

1486
01:15:21,772 --> 01:15:23,053
Speaker 16: I probably wouldn't be.

1487
01:15:23,053 --> 01:15:23,572
Speaker 6: Happy with it.

1488
01:15:23,893 --> 01:15:26,173
Speaker 2: Thank you for you cool Blair. The interesting thing becomes

1489
01:15:26,173 --> 01:15:29,892
Speaker 2: the moral edge case, especially with autonomous vehicles, but also

1490
01:15:30,293 --> 01:15:33,173
Speaker 2: it happened in surgery as well, where you have to

1491
01:15:33,173 --> 01:15:35,732
Speaker 2: make a decision where definitely humans will die. So the

1492
01:15:35,772 --> 01:15:38,692
Speaker 2: car is in a situation where there's, out of all

1493
01:15:38,732 --> 01:15:42,293
Speaker 2: the options, someone is going to die. Do they decide

1494
01:15:42,293 --> 01:15:44,652
Speaker 2: that it's the passengers in the car that dies, or

1495
01:15:44,732 --> 01:15:48,852
Speaker 2: do the preschoolers that are crossing the road or the

1496
01:15:49,293 --> 01:15:52,093
Speaker 2: group of elderly people over here, or is it two

1497
01:15:52,093 --> 01:15:56,732
Speaker 2: people there as opposed to three people over here? Those

1498
01:15:56,772 --> 01:16:00,932
Speaker 2: are the really really complicated edge cases. And you know

1499
01:16:01,013 --> 01:16:04,972
Speaker 2: the trolley problem is another one as well. You know,

1500
01:16:05,333 --> 01:16:07,293
Speaker 2: does you're in action if you're if the car is

1501
01:16:07,333 --> 01:16:10,092
Speaker 2: driving the straight line and it can't move, can't stop,

1502
01:16:10,133 --> 01:16:14,412
Speaker 2: it's inaction. Will kill two people, but if it the

1503
01:16:15,452 --> 01:16:18,333
Speaker 2: if it deviates, it'll have a different result. You know,

1504
01:16:18,492 --> 01:16:20,732
Speaker 2: those are moral decisions that a human like Blair and

1505
01:16:20,772 --> 01:16:22,773
Speaker 2: his accident might make in us flit second.

1506
01:16:22,532 --> 01:16:25,133
Speaker 3: Yep, very fair point. Yeah, oh, one hundred and eighty

1507
01:16:25,133 --> 01:16:27,612
Speaker 3: ten eighty is the number to call. It is eight

1508
01:16:27,652 --> 01:16:29,333
Speaker 3: minutes to three, bag very surely.

1509
01:16:30,093 --> 01:16:32,532
Speaker 1: The issues that affect you and a bit of fun

1510
01:16:32,572 --> 01:16:36,452
Speaker 1: along the way. Matt Heath and Tyler Adams afternoons news talks.

1511
01:16:36,452 --> 01:16:36,852
Speaker 16: That'd be.

1512
01:16:38,692 --> 01:16:39,972
Speaker 3: It is five to three.

1513
01:16:40,013 --> 01:16:42,412
Speaker 2: Fascinating conversation, a lot of people asking what we're talking

1514
01:16:42,412 --> 01:16:45,732
Speaker 2: about with the runaway trolley problem. There is a runaway

1515
01:16:45,732 --> 01:16:48,293
Speaker 2: trolley barreling down the railway tracks that head on the tracks,

1516
01:16:48,333 --> 01:16:50,852
Speaker 2: there are five people tied up and unable to move.

1517
01:16:51,053 --> 01:16:53,012
Speaker 2: The trolley is headed straight for them. You are standing

1518
01:16:53,053 --> 01:16:55,692
Speaker 2: some distance off in the train yard next to a lever,

1519
01:16:56,213 --> 01:16:58,812
Speaker 2: a lever. If you pull this lever, the trolley will

1520
01:16:58,812 --> 01:17:01,652
Speaker 2: switch to a different set of tracks. However, you notice

1521
01:17:01,652 --> 01:17:04,053
Speaker 2: that there is one person on the side track. You

1522
01:17:04,133 --> 01:17:06,133
Speaker 2: have two options. Do nothing and the trolley kills the

1523
01:17:06,173 --> 01:17:08,852
Speaker 2: five people on the main track. Two pull the lever,

1524
01:17:08,973 --> 01:17:11,372
Speaker 2: diverting the trolley onto the sidetrack where it will kill

1525
01:17:11,412 --> 01:17:15,052
Speaker 2: one person. Which is the most ethical choice, you guess,

1526
01:17:15,053 --> 01:17:20,173
Speaker 2: incredibly complicated because the five people are only one person

1527
01:17:20,173 --> 01:17:22,532
Speaker 2: to five people. But that one person that you're going

1528
01:17:22,572 --> 01:17:24,053
Speaker 2: to divert to has got nothing to do with the

1529
01:17:24,093 --> 01:17:27,652
Speaker 2: situation at all. So you're diverting to kill this one

1530
01:17:27,692 --> 01:17:30,213
Speaker 2: person as opposed to five people. So if you do nothing,

1531
01:17:30,293 --> 01:17:32,732
Speaker 2: five people get killed. If you do something, one person

1532
01:17:32,772 --> 01:17:35,092
Speaker 2: bit kills, but you are deciding to kill that one person.

1533
01:17:35,612 --> 01:17:38,173
Speaker 2: So you have to make an active decision to kill

1534
01:17:38,213 --> 01:17:40,333
Speaker 2: a person as opposed to doing nothing and five people

1535
01:17:40,333 --> 01:17:41,892
Speaker 2: get killed. That's the kind of stuff that they have

1536
01:17:41,933 --> 01:17:42,892
Speaker 2: to program into AI.

1537
01:17:44,333 --> 01:17:45,972
Speaker 3: And who are the five people? Are the five people

1538
01:17:46,053 --> 01:17:48,572
Speaker 3: children you know? And the one person very elderly. I mean,

1539
01:17:48,612 --> 01:17:51,253
Speaker 3: they are all human decisions that we can make pretty quickly.

1540
01:17:51,333 --> 01:17:53,772
Speaker 2: So you've got your Tesla autopilot going along scanning all that.

1541
01:17:53,893 --> 01:17:57,053
Speaker 2: It's pretty complicated and similar things could happen in terms

1542
01:17:57,093 --> 01:18:00,612
Speaker 2: of surgery as well. Absolutely paralyzed. If I continue this,

1543
01:18:00,652 --> 01:18:03,612
Speaker 2: the person's legs will be paralyzed. If I don't, If

1544
01:18:03,652 --> 01:18:06,092
Speaker 2: I do nothing, their legs will peraliffy. To do something,

1545
01:18:06,213 --> 01:18:08,092
Speaker 2: the brain will be paralyzed. All the kind of complicated

1546
01:18:08,093 --> 01:18:08,772
Speaker 2: things can happen.

1547
01:18:08,812 --> 01:18:11,812
Speaker 3: Yeah, scary, fascinating times ahead, that's for sure. Great discussion,

1548
01:18:11,853 --> 01:18:14,772
Speaker 3: Thank you very much. After three o'clock, let's have a

1549
01:18:14,853 --> 01:18:18,173
Speaker 3: chat about celebrity selfies. Is it okay to take a

1550
01:18:18,293 --> 01:18:21,492
Speaker 3: selfie with a celebrity on the back of a very

1551
01:18:21,652 --> 01:18:24,052
Speaker 3: interesting post by Robbie Williams. Will tell you more about

1552
01:18:24,093 --> 01:18:27,532
Speaker 3: that very shortly. It is three to three.

1553
01:18:28,812 --> 01:18:33,333
Speaker 1: Your new homes are insightful and entertaining. Talk It's Mattie

1554
01:18:33,372 --> 01:18:36,692
Speaker 1: and Taylor Adams afternoons on News Talk.

1555
01:18:36,572 --> 01:18:41,173
Speaker 3: Sebbies, Good afternoon to you, Welcome back into the show.

1556
01:18:41,253 --> 01:18:44,253
Speaker 3: This is going to be a good hour of discussion.

1557
01:18:44,372 --> 01:18:48,933
Speaker 3: It's about celebrities and taking selfies with them more approaching

1558
01:18:49,293 --> 01:18:51,372
Speaker 3: celebrities in the first place. On the back of something

1559
01:18:51,452 --> 01:18:52,612
Speaker 3: Robbie Williams.

1560
01:18:52,173 --> 01:18:54,492
Speaker 2: Posted, Yeah, the question one hundred and eighteen eighty two.

1561
01:18:54,532 --> 01:18:57,572
Speaker 2: Celebrities owe you a picture because you know their fame

1562
01:18:57,572 --> 01:19:01,932
Speaker 2: and their wealth is based on human beings following them.

1563
01:19:02,452 --> 01:19:05,093
Speaker 2: What are the terms of engagement? Do you leave people

1564
01:19:05,093 --> 01:19:07,093
Speaker 2: alone with their family when they're eating, when they're walking

1565
01:19:07,133 --> 01:19:10,012
Speaker 2: down a street? You know? When when do you approach them?

1566
01:19:10,253 --> 01:19:12,572
Speaker 2: And what I mean? Another question is why do we

1567
01:19:12,612 --> 01:19:16,052
Speaker 2: want pictures of celebrities? Why do we need them? And look,

1568
01:19:16,053 --> 01:19:18,053
Speaker 2: have you had a great experience with a celebrity or

1569
01:19:18,133 --> 01:19:20,333
Speaker 2: have you had a bad experience with one? Eight hundred

1570
01:19:20,333 --> 01:19:23,333
Speaker 2: and eighty ten eighty is the number Robbie Williams. He

1571
01:19:23,412 --> 01:19:27,532
Speaker 2: has posted about the discomfort he feels when he's approached

1572
01:19:27,532 --> 01:19:31,732
Speaker 2: for photos. He says he feels gratitude when fans expressed

1573
01:19:31,772 --> 01:19:35,253
Speaker 2: genuine admiration, but he emphasized that and he wants to

1574
01:19:35,253 --> 01:19:37,492
Speaker 2: say he's not complaining, but he says sometimes he has

1575
01:19:37,532 --> 01:19:40,093
Speaker 2: panic attacks and he fears when people come up to

1576
01:19:40,133 --> 01:19:41,933
Speaker 2: talk to him that everyone will notice them and it

1577
01:19:41,973 --> 01:19:44,852
Speaker 2: becomes a bit of problem. And he said that there's

1578
01:19:44,893 --> 01:19:48,412
Speaker 2: an unspoken law that celebrities should always be available, but

1579
01:19:48,492 --> 01:19:52,772
Speaker 2: he thinks that that expectation is unfair and unrealistic. So

1580
01:19:53,772 --> 01:19:55,572
Speaker 2: this is about a situation when he's on a plane,

1581
01:19:55,612 --> 01:19:58,892
Speaker 2: he's got his four kids with him, he's feeling pretty

1582
01:19:58,893 --> 01:20:01,652
Speaker 2: gross and tired, and people are asking for pictures and

1583
01:20:01,692 --> 01:20:04,012
Speaker 2: he just didn't want to do it. But he did

1584
01:20:04,053 --> 01:20:05,452
Speaker 2: do it, but he didn't want to do it, and

1585
01:20:05,532 --> 01:20:08,852
Speaker 2: he just wanted to raise that the expectation you're always

1586
01:20:08,853 --> 01:20:13,493
Speaker 2: ready because you're famous to give of yourself as unrealistic.

1587
01:20:13,532 --> 01:20:15,013
Speaker 2: So what do we think about that one hundred and

1588
01:20:15,013 --> 01:20:18,812
Speaker 2: eighteen eighty If you're famous, is it that much to

1589
01:20:18,853 --> 01:20:20,173
Speaker 2: just get a picture taken with you?

1590
01:20:20,253 --> 01:20:23,333
Speaker 3: Yeah? I mean, good on. It's very honest from Robbie Williams.

1591
01:20:23,372 --> 01:20:25,812
Speaker 3: And he comes across as a very jovial chap and

1592
01:20:25,853 --> 01:20:29,253
Speaker 3: he's very funny when he's interviewed, but clearly he's been

1593
01:20:29,372 --> 01:20:31,813
Speaker 3: very honest when he says he feels that social anxiety

1594
01:20:31,812 --> 01:20:33,372
Speaker 3: when he gets approached all the time.

1595
01:20:33,492 --> 01:20:35,132
Speaker 2: Yeah, but the guy has panic attacks.

1596
01:20:35,213 --> 01:20:38,892
Speaker 3: Yeah, Okay, that's pretty full on. So but you know,

1597
01:20:38,973 --> 01:20:42,213
Speaker 3: going back to that original point he made that celebrity

1598
01:20:42,253 --> 01:20:44,492
Speaker 3: should be available when they're out and about. I think

1599
01:20:44,492 --> 01:20:47,133
Speaker 3: that is part and parcel of being in the public eye,

1600
01:20:47,213 --> 01:20:49,932
Speaker 3: that if people see you and they're a fan, and

1601
01:20:49,973 --> 01:20:51,892
Speaker 3: they want a photo or they want you to sign

1602
01:20:51,973 --> 01:20:54,973
Speaker 3: something that is, for lack of a better word, the

1603
01:20:55,013 --> 01:20:56,133
Speaker 3: cross Robbie has to be here.

1604
01:20:56,293 --> 01:20:57,893
Speaker 2: But he says that a lot of people, because this

1605
01:20:57,933 --> 01:21:00,532
Speaker 2: happened in the United States, this particular incident, people didn't

1606
01:21:00,532 --> 01:21:03,972
Speaker 2: even know what it, couldn't name his albums. Yeah, and

1607
01:21:04,053 --> 01:21:06,213
Speaker 2: they just didn't really know who he was, knew he

1608
01:21:06,253 --> 01:21:08,213
Speaker 2: was vaguely famous, and if someone gets a picture with them.

1609
01:21:08,333 --> 01:21:09,732
Speaker 2: A lot of people have started lining out to get

1610
01:21:09,772 --> 01:21:12,333
Speaker 2: pictures with him. They don't even really know who he is,

1611
01:21:12,612 --> 01:21:16,173
Speaker 2: and they don't really care about it. So I don't know.

1612
01:21:16,253 --> 01:21:18,812
Speaker 2: I'm in two minds about it. Why do you need

1613
01:21:18,853 --> 01:21:20,092
Speaker 2: to hassle someone for a picture?

1614
01:21:20,933 --> 01:21:22,492
Speaker 3: Well, I think there's a time in the place if

1615
01:21:22,532 --> 01:21:25,492
Speaker 3: they were in a restaurant and clearly he's got his

1616
01:21:25,612 --> 01:21:28,812
Speaker 3: kids with him and he's having a meal. Look. I've

1617
01:21:28,853 --> 01:21:32,013
Speaker 3: never never approached a celebrity for a photo autograph. I

1618
01:21:32,013 --> 01:21:34,652
Speaker 3: can say that hand on heart. I have never done it.

1619
01:21:34,732 --> 01:21:36,652
Speaker 3: Maybe as a child with rugby player, I don't know,

1620
01:21:36,652 --> 01:21:39,973
Speaker 3: but I can't remember any times. But if you're on

1621
01:21:40,013 --> 01:21:42,532
Speaker 3: a plane and it's someone that really loves Robbie and

1622
01:21:42,612 --> 01:21:44,652
Speaker 3: Robbie's just released a movie, right, he was part of

1623
01:21:44,692 --> 01:21:47,012
Speaker 3: that movie that's just been released. There's a documentary that's

1624
01:21:47,013 --> 01:21:49,412
Speaker 3: gone out Better Man, Yep, better Man, and apparently it's

1625
01:21:49,492 --> 01:21:49,852
Speaker 3: very good.

1626
01:21:49,893 --> 01:21:51,652
Speaker 2: Well he plays. He won't recognize him from that though,

1627
01:21:51,692 --> 01:21:53,213
Speaker 2: because he's replaced with a monkey.

1628
01:21:53,372 --> 01:21:58,652
Speaker 3: Yeah, that's right. But the fact he's still promoting things

1629
01:21:58,692 --> 01:22:01,532
Speaker 3: that he's doing still makes him public property in a way.

1630
01:22:01,652 --> 01:22:04,213
Speaker 2: Well, but I mean is that the case, say an

1631
01:22:04,253 --> 01:22:07,612
Speaker 2: uber driver when they're not working, because that's their job,

1632
01:22:07,652 --> 01:22:09,452
Speaker 2: they should have meet it, jump in their car and

1633
01:22:09,532 --> 01:22:13,092
Speaker 2: drive you somewhere. I mean that you're working. Sometimes if

1634
01:22:13,133 --> 01:22:16,013
Speaker 2: a celebrity is turned up for a promotional event, absolutely

1635
01:22:16,013 --> 01:22:18,452
Speaker 2: the picture. But if someone's on a plane with four kids,

1636
01:22:19,053 --> 01:22:20,732
Speaker 2: leave the man alone, I'd.

1637
01:22:20,572 --> 01:22:23,293
Speaker 3: Say, yeah, But then I see these actors like Daniel

1638
01:22:23,372 --> 01:22:27,253
Speaker 3: d Lewis right, and he is notoriously private about his life.

1639
01:22:27,293 --> 01:22:29,812
Speaker 3: He used to turn up to some interviews but not

1640
01:22:29,933 --> 01:22:33,372
Speaker 3: so much anymore, and people leave him alone because he's

1641
01:22:33,412 --> 01:22:36,333
Speaker 3: made it quite clear that he is not going to

1642
01:22:36,333 --> 01:22:38,452
Speaker 3: promote himself, so he will let us acting in his

1643
01:22:38,532 --> 01:22:42,652
Speaker 3: movie speak for itself. But Robbie being a showman for

1644
01:22:42,732 --> 01:22:44,772
Speaker 3: most of his life, it's as part of him.

1645
01:22:44,893 --> 01:22:48,012
Speaker 2: You think that if you court publicity for your own

1646
01:22:48,173 --> 01:22:51,612
Speaker 2: financial gain on occasion, then you have opened lather for

1647
01:22:51,612 --> 01:22:53,293
Speaker 2: the rest of the time. And think there is a

1648
01:22:52,652 --> 01:22:56,692
Speaker 2: certain part of that. There are people that just let

1649
01:22:56,732 --> 01:22:59,732
Speaker 2: there art work, you know, their work speak for itself,

1650
01:23:00,093 --> 01:23:02,253
Speaker 2: and there are people that have go to the opening

1651
01:23:02,293 --> 01:23:04,732
Speaker 2: of an envelope, and maybe those people don't deserve as

1652
01:23:04,812 --> 01:23:08,892
Speaker 2: much privacy as as the other ones. You've also got

1653
01:23:08,933 --> 01:23:10,892
Speaker 2: to remember that a lot of famous people, a lot

1654
01:23:10,933 --> 01:23:14,492
Speaker 2: of people that are out and about, you know, you know,

1655
01:23:15,452 --> 01:23:18,253
Speaker 2: putting themselves out there in terms of their art, acting, music,

1656
01:23:18,253 --> 01:23:21,812
Speaker 2: are actually introverts and they actually find it really really

1657
01:23:21,933 --> 01:23:23,572
Speaker 2: terrifying to deal with people one on one.

1658
01:23:23,772 --> 01:23:26,572
Speaker 3: Yeah, I mean, look, I've seen some of the videos

1659
01:23:26,612 --> 01:23:30,333
Speaker 3: recently Tom Hardy, he's in a movie very recently. But

1660
01:23:30,572 --> 01:23:33,293
Speaker 3: they the fans are waiting outside one of the premier

1661
01:23:33,333 --> 01:23:35,412
Speaker 3: yeers and there's a few other premier yeers and he

1662
01:23:35,452 --> 01:23:37,412
Speaker 3: goes out there and he's got a steely face on

1663
01:23:37,732 --> 01:23:40,492
Speaker 3: and clearly he doesn't like to be in that position,

1664
01:23:40,572 --> 01:23:43,333
Speaker 3: but he goes up to everybody and grabs their phones

1665
01:23:43,412 --> 01:23:45,612
Speaker 3: and then he goes from steely face to a fake smile,

1666
01:23:45,853 --> 01:23:48,012
Speaker 3: takes a snap and then just moves down the line.

1667
01:23:48,253 --> 01:23:50,053
Speaker 3: And so I look at that and I think, oh, man,

1668
01:23:50,093 --> 01:23:52,572
Speaker 3: that is you know for someone like Tom Hardy. He's

1669
01:23:52,612 --> 01:23:55,293
Speaker 3: there at a premier year promoting his movie, but that

1670
01:23:55,452 --> 01:23:56,612
Speaker 3: is a chore for him to do that.

1671
01:23:56,812 --> 01:24:00,133
Speaker 2: Yeah, panashek because you don't. Yeah, I'll talk about come

1672
01:24:00,213 --> 01:24:01,652
Speaker 2: up in a bit. I'll talk about what Stephen Fryer

1673
01:24:01,652 --> 01:24:03,652
Speaker 2: said about this and why he refuses to have SELFI

1674
01:24:03,692 --> 01:24:05,932
Speaker 2: is taken with himself and people when they come up

1675
01:24:05,933 --> 01:24:08,732
Speaker 2: to here. But e one hundred and eighty ten eighty

1676
01:24:09,133 --> 01:24:12,053
Speaker 2: have you had a pleasant experience with the celebrity or

1677
01:24:12,053 --> 01:24:14,892
Speaker 2: have you had an experience with a celebrity where you

1678
01:24:14,933 --> 01:24:17,612
Speaker 2: feel like you have well, they've made you feel like

1679
01:24:17,612 --> 01:24:20,173
Speaker 2: you've overstepped the mark and you've invaded this space.

1680
01:24:20,293 --> 01:24:20,492
Speaker 5: Yeah.

1681
01:24:20,572 --> 01:24:22,293
Speaker 3: Yeah, love to hear from you. Oh, eight hundred and

1682
01:24:22,293 --> 01:24:24,333
Speaker 3: eighty ten eighties and number to call it is twelve

1683
01:24:24,412 --> 01:24:29,173
Speaker 3: past three. Good afternoon, it's a quarter past three, and

1684
01:24:29,213 --> 01:24:32,692
Speaker 3: we're talking about approaching celebrities. Is it okay to approach

1685
01:24:32,732 --> 01:24:36,412
Speaker 3: celebrities no matter the day or time or whatever they're doing.

1686
01:24:36,612 --> 01:24:38,652
Speaker 3: On the back of a pretty honest post that Robbie

1687
01:24:38,652 --> 01:24:39,932
Speaker 3: Williams put up on Instagram.

1688
01:24:40,013 --> 01:24:42,493
Speaker 2: Yeah, as Rob Williams said, he said, there's an unspoken

1689
01:24:42,572 --> 01:24:45,532
Speaker 2: law that celebrities should always be available. Williams believes the

1690
01:24:45,532 --> 01:24:48,572
Speaker 2: expectation is unfair and unrealistic. It always makes me think

1691
01:24:48,692 --> 01:24:52,092
Speaker 2: of this line from Tom Hanks in the Simpsons movie.

1692
01:24:52,213 --> 01:24:54,372
Speaker 16: This is Tom Hanks saying, if you see me in person,

1693
01:24:54,452 --> 01:24:55,492
Speaker 16: please leave me be.

1694
01:24:58,253 --> 01:25:02,812
Speaker 3: Very good. I love, and he is Hollywood's nice guy

1695
01:25:02,853 --> 01:25:03,213
Speaker 3: as well.

1696
01:25:04,013 --> 01:25:07,972
Speaker 2: Oh please, there's this text, oh please, celebrities are only

1697
01:25:07,973 --> 01:25:10,612
Speaker 2: too heavy to reap the berries of stardom when the

1698
01:25:10,652 --> 01:25:13,293
Speaker 2: cash comes rolling in. Suck it up and do the photos.

1699
01:25:13,333 --> 01:25:15,612
Speaker 2: My son is an all black and its constantly asked.

1700
01:25:15,812 --> 01:25:18,692
Speaker 2: He just says he's a handshaker and a selfie taker.

1701
01:25:18,893 --> 01:25:21,452
Speaker 2: To make someone's day, He's happy to do so. Aby's

1702
01:25:21,492 --> 01:25:24,173
Speaker 2: give them seminars and how seminars on how to deal

1703
01:25:24,213 --> 01:25:26,772
Speaker 2: with it? Yeah you all right? Well, congratulations on your

1704
01:25:26,772 --> 01:25:32,092
Speaker 2: son being an a b Yeah, but you're very proud. Yeah, Phil,

1705
01:25:32,652 --> 01:25:36,532
Speaker 2: welcome to the show. You've had an experience with a celebrity.

1706
01:25:36,853 --> 01:25:40,492
Speaker 23: Yeah, yeah, I got a couple of stories, but the

1707
01:25:40,492 --> 01:25:46,732
Speaker 23: first one I was at I'll tell you the first

1708
01:25:46,732 --> 01:25:49,452
Speaker 23: one with my mate. You know, the second one. But

1709
01:25:49,893 --> 01:25:53,812
Speaker 23: my mate won a competition radio competition to actually go

1710
01:25:53,853 --> 01:25:58,732
Speaker 23: to Robbie Williams concert here in New Zealand. So and

1711
01:25:58,772 --> 01:26:01,932
Speaker 23: he went won the thing to go backstage to meet him,

1712
01:26:02,013 --> 01:26:05,652
Speaker 23: and so he went along with his wiferiend it's funny

1713
01:26:05,812 --> 01:26:08,293
Speaker 23: Robbie Williams saying about, you know, having the panic attacks

1714
01:26:08,492 --> 01:26:11,772
Speaker 23: times of meeting people on that Yeah, and my my

1715
01:26:12,333 --> 01:26:15,213
Speaker 23: was it was him. He was it was him that

1716
01:26:15,293 --> 01:26:16,612
Speaker 23: had to been a cuttack. He said.

1717
01:26:16,612 --> 01:26:17,532
Speaker 9: Oh, he said.

1718
01:26:18,973 --> 01:26:19,852
Speaker 21: I went to meet him and.

1719
01:26:19,812 --> 01:26:21,412
Speaker 23: Shake his end, you know, because he said, oh, I

1720
01:26:21,412 --> 01:26:22,933
Speaker 23: want Robbie, and he said all I could do to

1721
01:26:23,053 --> 01:26:24,652
Speaker 23: stand there, and I was like a baby. I went

1722
01:26:24,692 --> 01:26:26,053
Speaker 23: to say hello, and all it could go was like

1723
01:26:28,973 --> 01:26:31,013
Speaker 23: and his girlfriend and his wife had to end up

1724
01:26:31,053 --> 01:26:33,612
Speaker 23: talking for him because he was just war struck, you know,

1725
01:26:33,772 --> 01:26:36,372
Speaker 23: of meeting Robby a person because he answer he loves him.

1726
01:26:36,412 --> 01:26:38,173
Speaker 23: So that was quite funny, you know. He he just said,

1727
01:26:38,213 --> 01:26:40,372
Speaker 23: I was a babbling idiot, you know. I couldn't get

1728
01:26:40,412 --> 01:26:45,093
Speaker 23: two words out. But we went to a We went

1729
01:26:45,133 --> 01:26:48,892
Speaker 23: to the Springsteen concert and been lucky enough to go

1730
01:26:48,973 --> 01:26:51,132
Speaker 23: to three of them, but still haven't heard my favorite

1731
01:26:51,133 --> 01:26:53,452
Speaker 23: song of his ship, which is born in the USA,

1732
01:26:53,532 --> 01:26:56,732
Speaker 23: because I think he was not happy with Trump being

1733
01:26:56,732 --> 01:26:59,293
Speaker 23: elected so refused to play to his concerts. And then

1734
01:26:59,333 --> 01:27:01,892
Speaker 23: the other concert he played, I missed tickets to the

1735
01:27:01,933 --> 01:27:05,173
Speaker 23: Saturday and got the Sunday ticket and I was standing there,

1736
01:27:05,333 --> 01:27:06,893
Speaker 23: standing there, and he said, oh.

1737
01:27:06,652 --> 01:27:09,612
Speaker 24: We played yesterday. We played Born. Last time I played Born,

1738
01:27:09,732 --> 01:27:11,932
Speaker 24: and you say the whole album. I was thinking, great,

1739
01:27:11,973 --> 01:27:13,933
Speaker 24: this is going to be good. And he says, but

1740
01:27:13,973 --> 01:27:16,333
Speaker 24: tonight we're going to do Born to Run, which was

1741
01:27:16,372 --> 01:27:20,013
Speaker 24: good album as like OHM. But anyhow, but so we

1742
01:27:20,013 --> 01:27:23,093
Speaker 24: were at at one of his concerts there and somebody said,

1743
01:27:23,133 --> 01:27:25,053
Speaker 24: just stand in front of us was Tim fint.

1744
01:27:25,213 --> 01:27:29,053
Speaker 2: Oh yeah, split in the same brother. Yeah great, he'silder.

1745
01:27:30,053 --> 01:27:30,253
Speaker 1: Yeah.

1746
01:27:30,372 --> 01:27:33,612
Speaker 23: So of course this sort of tapped them on the

1747
01:27:33,652 --> 01:27:36,572
Speaker 23: shoulder and said Tim, you know one boys, Tim, because

1748
01:27:36,732 --> 01:27:38,572
Speaker 23: about three or four of us there, and he just

1749
01:27:38,612 --> 01:27:40,652
Speaker 23: turned around and looked and he said, oh yeah. He

1750
01:27:40,732 --> 01:27:43,333
Speaker 23: said do you mind, you know, to get a shot

1751
01:27:43,333 --> 01:27:45,612
Speaker 23: with you and he said, no, no problem, but just

1752
01:27:45,652 --> 01:27:47,173
Speaker 23: the one no boys and then leave it at that

1753
01:27:47,213 --> 01:27:49,093
Speaker 23: and it was all cool. So, yeah, that was their

1754
01:27:49,253 --> 01:27:51,973
Speaker 23: experience with him. But I think there is a so

1755
01:27:52,173 --> 01:27:53,772
Speaker 23: it was pretty cool. That was pretty good of him,

1756
01:27:53,812 --> 01:27:56,572
Speaker 23: you know, because he probably got hastled throughout that concert

1757
01:27:56,612 --> 01:27:59,053
Speaker 23: when people recognized who it was, you know, but he

1758
01:27:59,093 --> 01:28:00,892
Speaker 23: still gave us, but he still gave us the time

1759
01:28:00,893 --> 01:28:02,452
Speaker 23: to take one with him and that. But he was

1760
01:28:02,532 --> 01:28:05,093
Speaker 23: quite nice about saying, just just the one boys and

1761
01:28:05,133 --> 01:28:06,372
Speaker 23: then we'll leave it at that, you know.

1762
01:28:06,652 --> 01:28:09,652
Speaker 2: Yeah, so Tim fan puts some parameters in there. I

1763
01:28:09,692 --> 01:28:12,452
Speaker 2: was once shooting a music video for Tim Finn. We

1764
01:28:12,532 --> 01:28:14,732
Speaker 2: made a number of his music videos back in the day,

1765
01:28:15,133 --> 01:28:17,892
Speaker 2: and we were shooting a video and a car and

1766
01:28:17,933 --> 01:28:19,732
Speaker 2: he was sitting there. He had to drive the car,

1767
01:28:20,133 --> 01:28:24,333
Speaker 2: Tim and he everything was being around, lights were being

1768
01:28:24,333 --> 01:28:26,093
Speaker 2: set up, a bunch of stuff for coming. Then it

1769
01:28:26,133 --> 01:28:28,772
Speaker 2: was out on the street and a guy came over

1770
01:28:29,452 --> 01:28:30,973
Speaker 2: and sat down in the car beside him that it

1771
01:28:31,013 --> 01:28:33,812
Speaker 2: was just a stranger and lit a joint and said,

1772
01:28:33,853 --> 01:28:35,692
Speaker 2: I just always wanted to share a joint with you, Tim.

1773
01:28:36,213 --> 01:28:39,293
Speaker 3: What do I don't know what did. I'm not going

1774
01:28:39,372 --> 01:28:42,892
Speaker 3: to say what Tim did, but the balls just to

1775
01:28:43,093 --> 01:28:45,612
Speaker 3: rock up and sit aside. So yeah, right through a

1776
01:28:45,652 --> 01:28:48,572
Speaker 3: film of the cameras, he knew it was going well

1777
01:28:48,652 --> 01:28:50,892
Speaker 3: maybe not. Yeah, he just saw Tim Finn and he

1778
01:28:50,933 --> 01:28:53,253
Speaker 3: knew what he was doing. That's single minded. Yeah, good

1779
01:28:53,293 --> 01:28:55,932
Speaker 3: on him. Oh one hundred and eighty ten eighty. Who

1780
01:28:55,973 --> 01:28:58,292
Speaker 3: was the celebrity you met and asked for a signature

1781
01:28:58,652 --> 01:29:01,092
Speaker 3: or selfie? And what was their reaction?

1782
01:29:02,013 --> 01:29:04,692
Speaker 2: Do they owe you? It's an unspoken law that celebrity

1783
01:29:04,692 --> 01:29:07,293
Speaker 2: should always be available. But should they? Yeah, if they're

1784
01:29:07,333 --> 01:29:09,692
Speaker 2: just about minding their own business, why should they have

1785
01:29:09,732 --> 01:29:11,812
Speaker 2: to give up their time? And you know, maybe they're

1786
01:29:11,812 --> 01:29:15,213
Speaker 2: not feeling up to it. Leave them alone. The spersions said,

1787
01:29:16,253 --> 01:29:18,213
Speaker 2: Robbie Williams wanted to be a star and now he's

1788
01:29:18,253 --> 01:29:20,893
Speaker 2: over it. He could always buy his own plane. I

1789
01:29:20,893 --> 01:29:25,012
Speaker 2: don't know, maybe he could. That is rubbish. Boys, nobody

1790
01:29:25,053 --> 01:29:27,772
Speaker 2: is that special. They are not God. Yeah, but you're

1791
01:29:27,772 --> 01:29:30,732
Speaker 2: making them special. That's from Mary. So Mary's saying that,

1792
01:29:30,772 --> 01:29:33,012
Speaker 2: But they're not that special. Why are they so special

1793
01:29:33,013 --> 01:29:34,093
Speaker 2: that you need a photo with them?

1794
01:29:34,173 --> 01:29:34,612
Speaker 3: Yeah?

1795
01:29:34,652 --> 01:29:37,213
Speaker 2: So why are they so special that they don't give

1796
01:29:37,253 --> 01:29:39,412
Speaker 2: you a photo? But why are they so special that

1797
01:29:39,452 --> 01:29:40,732
Speaker 2: you think they need a photo with you?

1798
01:29:40,893 --> 01:29:41,133
Speaker 3: Yeah?

1799
01:29:41,173 --> 01:29:41,293
Speaker 11: Well?

1800
01:29:41,333 --> 01:29:43,412
Speaker 3: The other trap that I mean, poor old Robbies in

1801
01:29:43,492 --> 01:29:47,412
Speaker 3: the most celebrities are are in is that they have

1802
01:29:47,532 --> 01:29:50,572
Speaker 3: to put on that brave face if they really hate it.

1803
01:29:50,812 --> 01:29:52,652
Speaker 3: They still have to put on the brave face and

1804
01:29:52,772 --> 01:29:56,012
Speaker 3: look like nice people all the time twenty four to seven.

1805
01:29:56,173 --> 01:29:58,492
Speaker 3: And Robbie, no doubt is a really nice guy. But

1806
01:29:58,532 --> 01:30:01,772
Speaker 3: that would do anybody's hidden getting that sort of attention,

1807
01:30:01,893 --> 01:30:04,372
Speaker 3: particularly in the UK all the time. But if they

1808
01:30:04,412 --> 01:30:07,532
Speaker 3: don't present that nice guy attitude, it only takes one

1809
01:30:07,893 --> 01:30:11,732
Speaker 3: one day and someone says, hey, Robbie was really rude

1810
01:30:11,772 --> 01:30:14,452
Speaker 3: to me. Yeah, and boom your career. You might take

1811
01:30:14,452 --> 01:30:14,932
Speaker 3: a nose dive.

1812
01:30:15,372 --> 01:30:17,973
Speaker 2: As a civilian, you might be ninety nine percent of

1813
01:30:18,013 --> 01:30:20,492
Speaker 2: the time you're nice, but one day you're having a really,

1814
01:30:20,612 --> 01:30:22,692
Speaker 2: really freaking bad day and you're rude to someone on

1815
01:30:22,732 --> 01:30:25,213
Speaker 2: the street. No one cares because they don't know who

1816
01:30:25,213 --> 01:30:28,253
Speaker 2: you are. But if you're Robbie Williams and that one

1817
01:30:28,293 --> 01:30:32,732
Speaker 2: and a hundred, you know, grumpy reaction will probably make

1818
01:30:32,772 --> 01:30:34,052
Speaker 2: it into the papers.

1819
01:30:34,133 --> 01:30:36,892
Speaker 3: Yeah. Absolutely, Oh eight hundred eighty ten eighty is the

1820
01:30:37,013 --> 01:30:37,932
Speaker 3: number to call.

1821
01:30:38,093 --> 01:30:40,013
Speaker 2: This Texas, says Max says, Matt, I would like a

1822
01:30:40,013 --> 01:30:42,612
Speaker 2: selfie with you if I see you, and you'll be

1823
01:30:42,652 --> 01:30:45,133
Speaker 2: writing piggyback on my back, with a flower in your ear,

1824
01:30:45,333 --> 01:30:48,053
Speaker 2: a cigar in your mouth, and we'll both be holding Margarita's.

1825
01:30:48,213 --> 01:30:50,092
Speaker 2: It would look like we're the best to su mates.

1826
01:30:50,133 --> 01:30:50,732
Speaker 2: I can't wait.

1827
01:30:50,772 --> 01:30:52,572
Speaker 3: All right, we can make that happen, Mick, don't worry

1828
01:30:52,612 --> 01:30:53,812
Speaker 3: about that yet. We'll organize that.

1829
01:30:53,933 --> 01:30:54,852
Speaker 2: I'm looking forward to that.

1830
01:30:55,253 --> 01:31:04,053
Speaker 3: It's twenty two past three Matt Heathen Tyler Adams Afternoons.

1831
01:31:03,253 --> 01:31:06,132
Speaker 1: Call oh eight hundred eighty ten eighty on Youth Talk.

1832
01:31:06,013 --> 01:31:09,973
Speaker 3: ZB afternoon, twenty four past re Which celebrity have you

1833
01:31:10,372 --> 01:31:13,692
Speaker 3: met and what was the reaction or what sort of

1834
01:31:13,692 --> 01:31:15,213
Speaker 3: response did you get from them when you might have

1835
01:31:15,293 --> 01:31:17,572
Speaker 3: asked for a selfie or an autograph On the back

1836
01:31:17,612 --> 01:31:21,293
Speaker 3: of Robbie Williams, who made an anonymous call on Instagram.

1837
01:31:20,893 --> 01:31:23,093
Speaker 2: Yeah, he said, it's an unspoken law that celebrities should

1838
01:31:23,093 --> 01:31:26,453
Speaker 2: always be available. Williams believes the expectation is unfair and unrealistic.

1839
01:31:26,492 --> 01:31:30,492
Speaker 2: So do I. I reckon the occasions when they should. My

1840
01:31:30,772 --> 01:31:32,052
Speaker 2: son had Amy Adams.

1841
01:31:32,452 --> 01:31:34,412
Speaker 3: I love Ady Adams, great actress.

1842
01:31:34,492 --> 01:31:37,572
Speaker 2: She was eating in the in the cafe that he

1843
01:31:37,612 --> 01:31:40,333
Speaker 2: works in and he was just happy to serve her

1844
01:31:40,973 --> 01:31:43,452
Speaker 2: scrambled eggs and salmon yep. And he didn't need to

1845
01:31:43,532 --> 01:31:45,093
Speaker 2: us punish her for a photo because she was there

1846
01:31:45,093 --> 01:31:47,532
Speaker 2: with her family. Yeah, you know, just let it be.

1847
01:31:47,692 --> 01:31:50,293
Speaker 2: I'm with Tom Hanks. If you see, if you see

1848
01:31:50,772 --> 01:31:52,452
Speaker 2: Tom Hanks in public, let them.

1849
01:31:52,293 --> 01:31:55,093
Speaker 3: Be w eighty ten eighty. I'm going to say something

1850
01:31:55,133 --> 01:31:57,092
Speaker 3: about Robby in a minute. John.

1851
01:31:57,133 --> 01:31:58,812
Speaker 2: Welcome to the show. You met Chrissy Hines?

1852
01:31:59,692 --> 01:32:00,133
Speaker 13: I did?

1853
01:32:00,333 --> 01:32:04,052
Speaker 4: I did in nineteen eighty there was a concert down now.

1854
01:32:03,973 --> 01:32:06,572
Speaker 6: Wakia what do they call those.

1855
01:32:09,213 --> 01:32:09,893
Speaker 4: Sweetwaters?

1856
01:32:10,013 --> 01:32:10,173
Speaker 3: Oh?

1857
01:32:10,692 --> 01:32:10,772
Speaker 16: Not?

1858
01:32:10,853 --> 01:32:11,333
Speaker 2: Who are you?

1859
01:32:12,333 --> 01:32:15,253
Speaker 4: And it was the last Sweetwaters? And anyhow I had

1860
01:32:15,253 --> 01:32:18,852
Speaker 4: a backstage passed through a friend of mine, and I

1861
01:32:18,933 --> 01:32:22,372
Speaker 4: wandered into the backstage and I sat down with nobody around,

1862
01:32:23,412 --> 01:32:26,452
Speaker 4: and all of a sudden, these cucumber sandwiches arrived at

1863
01:32:26,492 --> 01:32:30,213
Speaker 4: the tables nice and I was just sitting there on

1864
01:32:30,253 --> 01:32:35,452
Speaker 4: my own and heard the helicopter arrived, and a few

1865
01:32:35,492 --> 01:32:38,452
Speaker 4: minutes later in walk Chrissy Hines and some of the

1866
01:32:38,492 --> 01:32:43,532
Speaker 4: band as she came and sat down right beside me. Wow,

1867
01:32:43,532 --> 01:32:44,492
Speaker 4: I couldn't believe it.

1868
01:32:44,973 --> 01:32:51,732
Speaker 20: So so we shared some stories and what a lovely

1869
01:32:51,853 --> 01:32:57,213
Speaker 20: lady she was and assuming, and she did ask what

1870
01:32:57,293 --> 01:32:59,812
Speaker 20: I was doing. I said, I was just getting out

1871
01:32:59,853 --> 01:33:00,293
Speaker 20: of the rain.

1872
01:33:03,652 --> 01:33:04,293
Speaker 13: I just happened.

1873
01:33:04,973 --> 01:33:07,012
Speaker 2: So there wasn't There was nine eighty four, so obviously

1874
01:33:07,093 --> 01:33:10,652
Speaker 2: you didn't have a phone on you to to take

1875
01:33:10,652 --> 01:33:12,973
Speaker 2: a selfie with this, So did you get a signature

1876
01:33:13,293 --> 01:33:15,812
Speaker 2: or did you? Did you nothing?

1877
01:33:17,532 --> 01:33:18,173
Speaker 4: The whole thing.

1878
01:33:18,293 --> 01:33:21,173
Speaker 2: And and that's cool because you've taken you've taken a

1879
01:33:21,213 --> 01:33:23,972
Speaker 2: memory out of it. Well that's what you need.

1880
01:33:24,973 --> 01:33:28,213
Speaker 4: No cell phones in those days, it was just just

1881
01:33:29,412 --> 01:33:34,532
Speaker 4: you know, average so uh, and then she had to

1882
01:33:34,853 --> 01:33:37,213
Speaker 4: then she started eating, and I didn't want to erupt her.

1883
01:33:37,213 --> 01:33:39,053
Speaker 4: And then she had to go on stage to do

1884
01:33:39,933 --> 01:33:43,452
Speaker 4: her thing. So I went out there and watched her

1885
01:33:43,532 --> 01:33:48,173
Speaker 4: from the front of the stage and yeah, it's just

1886
01:33:48,213 --> 01:33:49,613
Speaker 4: a fantastic memory.

1887
01:33:49,973 --> 01:33:53,333
Speaker 3: Good John, that's that's that's a nice interaction. But as

1888
01:33:53,372 --> 01:33:56,053
Speaker 3: you say, there were no phones there and he didn't

1889
01:33:56,053 --> 01:33:57,652
Speaker 3: actually know he was in the VIP area.

1890
01:33:57,853 --> 01:34:00,972
Speaker 2: Look, that's that Some celebrities are nice, you know. Robbi

1891
01:34:00,973 --> 01:34:02,532
Speaker 2: Williams has a problem with it a little. This text

1892
01:34:02,572 --> 01:34:04,532
Speaker 2: here from Thomas. I met Matt Heath at the Cricket

1893
01:34:04,532 --> 01:34:06,973
Speaker 2: once and asked for selfie. He was super accommodating. What

1894
01:34:07,013 --> 01:34:07,532
Speaker 2: a great guy.

1895
01:34:07,612 --> 01:34:10,732
Speaker 3: Oh that's a new knowing what I know about that guy.

1896
01:34:10,893 --> 01:34:15,412
Speaker 3: That's a rarity. I meant on your Thomas bart Don,

1897
01:34:15,612 --> 01:34:16,572
Speaker 3: how are you mate?

1898
01:34:17,213 --> 01:34:21,293
Speaker 9: Oh, very good, I haven't a humorous twist on the

1899
01:34:21,452 --> 01:34:26,372
Speaker 9: signature thing. Back in nineteen ninety three, I decided to

1900
01:34:26,692 --> 01:34:32,213
Speaker 9: take myself over to Europe on the Koontickie trip. And

1901
01:34:32,532 --> 01:34:35,372
Speaker 9: prior to that, I've been riding around Harley Harley around

1902
01:34:35,412 --> 01:34:39,133
Speaker 9: Auckland and people were coming up and looking at me

1903
01:34:39,293 --> 01:34:42,972
Speaker 9: and wanting to engage in conversation. And I thought that's

1904
01:34:43,053 --> 01:34:45,932
Speaker 9: really interesting. And one person said, you look a little

1905
01:34:45,933 --> 01:34:49,612
Speaker 9: bit like you know, a muso came with USO and

1906
01:34:49,692 --> 01:34:54,972
Speaker 9: I said, no, I'm just Don from Auckland. Anyway, went

1907
01:34:55,053 --> 01:34:57,532
Speaker 9: on the ninety ninety three trip to Europe. As soon

1908
01:34:57,572 --> 01:35:01,293
Speaker 9: as I got on the bus, all the odds I

1909
01:35:01,372 --> 01:35:05,333
Speaker 9: introduced myself as Don from his arms. All the people said, oh, no,

1910
01:35:05,452 --> 01:35:06,213
Speaker 9: you're Bono.

1911
01:35:07,333 --> 01:35:07,612
Speaker 4: Wow.

1912
01:35:09,213 --> 01:35:12,812
Speaker 9: And I said, well, I don't plan to be a

1913
01:35:12,893 --> 01:35:16,572
Speaker 9: Bono because I'm not particularly into you. So but they

1914
01:35:16,812 --> 01:35:18,612
Speaker 9: for the rest of the two they called me Bono.

1915
01:35:18,772 --> 01:35:22,812
Speaker 9: Wherever we went throughout Europe. Once my name, they referred

1916
01:35:22,812 --> 01:35:25,732
Speaker 9: to me as Bono loudly. Everyone would come rushing up

1917
01:35:25,772 --> 01:35:25,973
Speaker 9: to me.

1918
01:35:28,492 --> 01:35:32,253
Speaker 2: And so, as time has gone past, have you do

1919
01:35:32,293 --> 01:35:35,333
Speaker 2: you wear the sunglasses? Are you running the two earrings?

1920
01:35:35,333 --> 01:35:36,573
Speaker 2: Have you done the facial.

1921
01:35:36,293 --> 01:35:40,773
Speaker 9: Here, I've still got the rat round so the guys.

1922
01:35:39,933 --> 01:35:44,293
Speaker 9: After Europe, I took myself off to the USA of

1923
01:35:44,372 --> 01:35:49,093
Speaker 9: A and had the same sort of experience. People were

1924
01:35:49,173 --> 01:35:52,933
Speaker 9: overly friendly and it was like they kind of recognized me,

1925
01:35:53,053 --> 01:35:55,532
Speaker 9: but they didn't. Some of them were too polite to ask,

1926
01:35:55,853 --> 01:35:58,892
Speaker 9: but others did ask. But I went this is a classic.

1927
01:35:59,013 --> 01:36:03,052
Speaker 9: I went to Tijuana, and I'm telling you not people

1928
01:36:03,093 --> 01:36:08,133
Speaker 9: lined up for my signature right and Tijuana, so I'm

1929
01:36:08,173 --> 01:36:13,772
Speaker 9: not Bono, but they just would not believe that. So anyway,

1930
01:36:14,853 --> 01:36:19,372
Speaker 9: I find away in the barn and Tijuana a lot

1931
01:36:19,372 --> 01:36:22,173
Speaker 9: of Europeans were coming up and asking me to sign

1932
01:36:22,253 --> 01:36:25,652
Speaker 9: stuff anyway and buying me drinks. But anyway, when I

1933
01:36:25,692 --> 01:36:28,053
Speaker 9: got back to New Zia on the Classic was I

1934
01:36:28,133 --> 01:36:33,253
Speaker 9: arrived at Mangori Monngerie Airport and my girlfriend met me

1935
01:36:33,572 --> 01:36:40,052
Speaker 9: and a local guy Pacific I'm the guy came bowling

1936
01:36:40,133 --> 01:36:42,893
Speaker 9: up to me and said, Bono, please sign, please sign this.

1937
01:36:43,572 --> 01:36:47,572
Speaker 9: My girlfriend looked astonished, and he had a kid's basketball

1938
01:36:48,173 --> 01:36:51,412
Speaker 9: and I said, I'm not Bono, but I'll sign it. Well,

1939
01:36:51,452 --> 01:36:53,933
Speaker 9: he was the most happiest fellow on the planet, so

1940
01:36:54,053 --> 01:36:56,253
Speaker 9: I signed my real name, but he thought he was

1941
01:36:56,293 --> 01:36:57,812
Speaker 9: getting a bono signature.

1942
01:36:58,572 --> 01:37:00,772
Speaker 3: That's a great story that you go. Yeah, we've got

1943
01:37:00,812 --> 01:37:02,333
Speaker 3: to see a photo of you. Don Have you got

1944
01:37:02,412 --> 01:37:04,213
Speaker 3: email John to flick us an email.

1945
01:37:05,812 --> 01:37:07,732
Speaker 9: I was a lady's hairdresser at that time.

1946
01:37:08,333 --> 01:37:10,852
Speaker 2: A game we'll talk about. But thank you for you call.

1947
01:37:10,973 --> 01:37:12,093
Speaker 2: Don I appreciate it.

1948
01:37:12,812 --> 01:37:16,173
Speaker 3: Bono Yeah, yeah, oh, one hundred eighty ten eighty is

1949
01:37:16,173 --> 01:37:19,852
Speaker 3: the number to call. Some great texts coming through. Guys.

1950
01:37:19,893 --> 01:37:22,772
Speaker 3: Walk past Sean Fitzpatrick with two friends who were teenage boys.

1951
01:37:22,772 --> 01:37:24,412
Speaker 3: I said, get a Sean and he gave a wave.

1952
01:37:24,812 --> 01:37:28,012
Speaker 3: The two rugby loving youths were oblivious who was the guy?

1953
01:37:28,093 --> 01:37:30,892
Speaker 2: They said, I know a story. You've got to be

1954
01:37:30,893 --> 01:37:34,572
Speaker 2: careful if you're reasonably well known that you are nice

1955
01:37:34,572 --> 01:37:36,852
Speaker 2: to kids. Because there's a very well known New Zealand

1956
01:37:36,893 --> 01:37:41,492
Speaker 2: cricketer who was incredibly rude. So a young man. I

1957
01:37:41,492 --> 01:37:42,852
Speaker 2: don't know ifucking give the name.

1958
01:37:43,492 --> 01:37:45,293
Speaker 3: What decade, what decade was he playing?

1959
01:37:45,532 --> 01:37:49,572
Speaker 2: Well, the cricketer was probably peaking in the nineties, early

1960
01:37:49,652 --> 01:37:53,412
Speaker 2: two thousands. The rugby player that this future all black.

1961
01:37:53,812 --> 01:37:56,933
Speaker 2: So went up to this young this cricket player and

1962
01:37:56,973 --> 01:37:59,532
Speaker 2: see it kind of autograph and he went f off

1963
01:38:00,093 --> 01:38:02,973
Speaker 2: and then years later this guy grew up to be

1964
01:38:03,053 --> 01:38:06,733
Speaker 2: a very tough number six for the All Blacks, and

1965
01:38:06,772 --> 01:38:08,532
Speaker 2: then you know, ran unt him again. And see when

1966
01:38:08,572 --> 01:38:10,933
Speaker 2: I was a kid, you don't, you know, so you

1967
01:38:10,973 --> 01:38:12,333
Speaker 2: never know what's what's going to happen.

1968
01:38:13,013 --> 01:38:14,933
Speaker 3: How it is. Yeah, I'm going to tell you in

1969
01:38:14,973 --> 01:38:15,492
Speaker 3: the headlines.

1970
01:38:15,572 --> 01:38:17,412
Speaker 2: Okay, I've got a question for you as well.

1971
01:38:17,532 --> 01:38:17,732
Speaker 3: Yep.

1972
01:38:18,213 --> 01:38:19,973
Speaker 2: So we're talking about Robie Williams and how he's not

1973
01:38:19,973 --> 01:38:22,532
Speaker 2: that happy about being hassled for photos everywhere he goes.

1974
01:38:23,532 --> 01:38:26,892
Speaker 2: In twenty twenty four, the Better Man movie came out.

1975
01:38:27,253 --> 01:38:29,412
Speaker 2: It cost one hundred and ten million dollars to make.

1976
01:38:29,492 --> 01:38:33,133
Speaker 2: It's a semi autobiographical movie yep, about him South where

1977
01:38:33,133 --> 01:38:35,492
Speaker 2: he's been replaced with a CGI monkey. It cost one

1978
01:38:35,532 --> 01:38:37,333
Speaker 2: hundred and ten million dollars to make. How much has

1979
01:38:37,372 --> 01:38:39,652
Speaker 2: it grossed at the global box office?

1980
01:38:39,732 --> 01:38:42,372
Speaker 3: All right? Nine two nine too? If you think you know,

1981
01:38:42,412 --> 01:38:43,812
Speaker 3: I'm going to write down a number here and we'll

1982
01:38:43,812 --> 01:38:45,892
Speaker 3: give you the answer very shortly. It is twenty nine

1983
01:38:45,933 --> 01:38:46,253
Speaker 3: to four.

1984
01:38:49,133 --> 01:38:52,772
Speaker 14: You talk said the headlines with blue bubble taxis it's

1985
01:38:52,853 --> 01:38:56,412
Speaker 14: no trouble with a blue bubble. Building and Construction Minister

1986
01:38:56,492 --> 01:39:00,692
Speaker 14: Chris pink so's allowing approved building firms, plumbers and drain

1987
01:39:00,812 --> 01:39:04,492
Speaker 14: layers to sign off on their own simple residential work.

1988
01:39:04,772 --> 01:39:08,532
Speaker 14: We'll remove delays for three thousand bells each year. The

1989
01:39:08,612 --> 01:39:11,532
Speaker 14: PPTA says it's great news. The government's keeping a pre

1990
01:39:11,612 --> 01:39:15,772
Speaker 14: election promise to fund teacher registration fees with funding in

1991
01:39:15,812 --> 01:39:18,133
Speaker 14: the budget to cover the cost of twenty twenty eight.

1992
01:39:19,013 --> 01:39:22,452
Speaker 14: New Zealand First and Act are opposing an Auckland Council

1993
01:39:22,532 --> 01:39:25,653
Speaker 14: plan for the why Targety Rangers to have a committee

1994
01:39:25,812 --> 01:39:30,692
Speaker 14: that also includes EWE and the Crown. NZTA teams working

1995
01:39:30,692 --> 01:39:34,412
Speaker 14: on State Highway three in Tartanaki have uncovered shallow World

1996
01:39:34,412 --> 01:39:37,972
Speaker 14: War II rifle pits. It's thought the trenches for soldiers

1997
01:39:37,973 --> 01:39:41,013
Speaker 14: were built in nineteen forty one or forty two as

1998
01:39:41,053 --> 01:39:45,733
Speaker 14: a defensive position to protect the aerodrome from potential Japanese invasion.

1999
01:39:46,732 --> 01:39:52,333
Speaker 14: Small business how Otto is gamifying savings to encourage financial habits.

2000
01:39:52,652 --> 01:39:55,572
Speaker 14: You can find out more at NZ Herald Premium. Back

2001
01:39:55,572 --> 01:39:57,492
Speaker 14: to matt Ethan Tyler Adams.

2002
01:39:57,093 --> 01:39:59,533
Speaker 3: Thank you very much, Rayllan. And we're talking about approaching

2003
01:39:59,572 --> 01:40:03,372
Speaker 3: celebrities taking selfies. After Robbie Williams put up quite an

2004
01:40:03,372 --> 01:40:06,972
Speaker 3: honest post, saying it makes them socially anxious.

2005
01:40:07,053 --> 01:40:09,133
Speaker 2: Yes, sometimes, he said his zuns spoken law that Siby

2006
01:40:09,133 --> 01:40:12,852
Speaker 2: should always be available. I Williams believe that's expatient expectation

2007
01:40:12,973 --> 01:40:17,133
Speaker 2: is unfair and unrealistic. I think, yeah, I mean, sure

2008
01:40:17,133 --> 01:40:19,852
Speaker 2: you can ask for a photograph, but if they say,

2009
01:40:19,933 --> 01:40:21,652
Speaker 2: oh no, I'm not feeling up to it, then you'd

2010
01:40:21,692 --> 01:40:22,812
Speaker 2: leave them alone, right.

2011
01:40:23,093 --> 01:40:25,093
Speaker 3: I think in New Zealand we're pretty good with that

2012
01:40:25,173 --> 01:40:27,612
Speaker 3: sort of stuff. Right in America it's crazy town, and

2013
01:40:27,652 --> 01:40:29,652
Speaker 3: I think in the UK it's pretty similar with the

2014
01:40:29,652 --> 01:40:30,892
Speaker 3: pepperazzi and the rest of it.

2015
01:40:30,973 --> 01:40:31,093
Speaker 7: Well.

2016
01:40:31,133 --> 01:40:34,652
Speaker 2: Stephen Frye it says that it's changed massively in his career.

2017
01:40:34,692 --> 01:40:37,173
Speaker 2: He used to sign autographs for people and he didn't

2018
01:40:37,173 --> 01:40:39,532
Speaker 2: mind that because he could talk to them. He'd ask

2019
01:40:39,572 --> 01:40:41,572
Speaker 2: where they're from, he'd learned about their name, and they

2020
01:40:41,612 --> 01:40:44,452
Speaker 2: head could have a conversation. But he said, with everyone

2021
01:40:44,492 --> 01:40:47,412
Speaker 2: having a cell phone standing and posing for the picture,

2022
01:40:47,532 --> 01:40:51,173
Speaker 2: he refuses to do it because there's no correspondence. You're

2023
01:40:51,173 --> 01:40:55,572
Speaker 2: just standing there in silence. They take ages fumbling to

2024
01:40:55,612 --> 01:40:58,212
Speaker 2: get their phone, take the picture, and he gets absolutely

2025
01:40:58,293 --> 01:41:00,652
Speaker 2: nothing out of it. So he will Stephen fry will

2026
01:41:00,692 --> 01:41:02,452
Speaker 2: sign autographs, but he won't give you a picture.

2027
01:41:02,652 --> 01:41:04,772
Speaker 3: I love that because here's something kind of awkward the

2028
01:41:04,772 --> 01:41:06,452
Speaker 3: way that you've just said that. That is a really

2029
01:41:06,532 --> 01:41:10,333
Speaker 3: awkward encounter for Stephen Fry. Whereas he's probably a guy

2030
01:41:10,372 --> 01:41:12,093
Speaker 3: that likes stave a chat. You know, you'll tell some

2031
01:41:12,173 --> 01:41:14,932
Speaker 3: stories where you're from. He is one of those jovial

2032
01:41:14,933 --> 01:41:16,253
Speaker 3: sort of g You can.

2033
01:41:16,213 --> 01:41:18,213
Speaker 2: Totally see that point. He's willing to give you his time,

2034
01:41:18,213 --> 01:41:21,012
Speaker 2: but he's not necessarily willing to give you a photo.

2035
01:41:21,532 --> 01:41:23,532
Speaker 2: And who knows. You might have left the house and

2036
01:41:24,013 --> 01:41:26,692
Speaker 2: here is in a terrible state, and you hung over

2037
01:41:26,772 --> 01:41:30,372
Speaker 2: and you look terrible, and whatever reason you didn't get

2038
01:41:30,452 --> 01:41:32,093
Speaker 2: dressed up to the nines to go out. Maybe you

2039
01:41:32,093 --> 01:41:33,732
Speaker 2: don't want a photo, but you're quite willing to give

2040
01:41:34,973 --> 01:41:37,892
Speaker 2: a signature. Hey, before the break, I asked how much

2041
01:41:37,933 --> 01:41:40,892
Speaker 2: money has the one hundred and ten million dollar Better

2042
01:41:40,933 --> 01:41:43,813
Speaker 2: Man Robbie Williams movie made and the global.

2043
01:41:43,532 --> 01:41:46,412
Speaker 3: Box office I wrote down twenty five million.

2044
01:41:46,652 --> 01:41:50,092
Speaker 2: Yeah, so it's actually made fifteen million, so one hundred

2045
01:41:50,093 --> 01:41:51,652
Speaker 2: and ten million dollar budget. Look, I've got a lot

2046
01:41:51,652 --> 01:41:56,253
Speaker 2: of time for Robbie Williams, but making a byop of

2047
01:41:56,333 --> 01:41:59,173
Speaker 2: his life in the year twenty twenty four where he's

2048
01:41:59,213 --> 01:42:01,093
Speaker 2: replaced with a monkey. And by all accounts, it's a

2049
01:42:01,093 --> 01:42:01,852
Speaker 2: fantastic movie.

2050
01:42:01,893 --> 01:42:02,772
Speaker 3: Yeah, good rebooks.

2051
01:42:02,853 --> 01:42:04,772
Speaker 2: People in the States that don't even know who Robby

2052
01:42:04,772 --> 01:42:07,173
Speaker 2: Williams are say it's a very very good movie. But

2053
01:42:07,213 --> 01:42:09,972
Speaker 2: you've got to say that was a risk financial move

2054
01:42:10,053 --> 01:42:11,932
Speaker 2: to spend one hundred and ten million dollars in whatever

2055
01:42:11,933 --> 01:42:14,132
Speaker 2: the marketing was to make.

2056
01:42:13,973 --> 01:42:17,092
Speaker 3: That clearly fifteen million, one hundred and ten million budget.

2057
01:42:17,293 --> 01:42:20,733
Speaker 2: Joe, you you've met George Benson, the jazz guitarist.

2058
01:42:21,053 --> 01:42:27,812
Speaker 7: Oh yeah, I did. And Betty Betty from Ardie Jar

2059
01:42:28,452 --> 01:42:34,012
Speaker 7: Oh she was their backup. Oh yeah, you know support

2060
01:42:34,133 --> 01:42:39,613
Speaker 7: so makes the word. Benson was just beautiful. He invited

2061
01:42:40,492 --> 01:42:42,932
Speaker 7: so many of us backstage meet him.

2062
01:42:43,372 --> 01:42:44,333
Speaker 2: Oh really and.

2063
01:42:44,973 --> 01:42:47,532
Speaker 7: Yeah, and we were like talking to him in twos

2064
01:42:47,572 --> 01:42:50,933
Speaker 7: and threes, not having big group photos. We didn't have

2065
01:42:50,973 --> 01:42:53,812
Speaker 7: a mobile phone back then in the day. We had

2066
01:42:53,812 --> 01:42:58,172
Speaker 7: cameras and he talked about his family, he talked about

2067
01:42:58,213 --> 01:42:59,732
Speaker 7: his best friend, Prince.

2068
01:43:00,412 --> 01:43:01,052
Speaker 2: Oh wow.

2069
01:43:01,133 --> 01:43:04,093
Speaker 7: So it was an amazing time. And I still got

2070
01:43:04,093 --> 01:43:07,093
Speaker 7: the photos. Of course, you don't throw away anything like that.

2071
01:43:07,293 --> 01:43:09,812
Speaker 2: No, So you you were out of concert with and

2072
01:43:09,853 --> 01:43:12,053
Speaker 2: George Benson was there and he got invited backstage. What

2073
01:43:12,133 --> 01:43:14,612
Speaker 2: about if you've just seen George Benson on the street,

2074
01:43:14,652 --> 01:43:17,892
Speaker 2: would you've gone up and spoken to him? Or another example,

2075
01:43:17,893 --> 01:43:21,492
Speaker 2: he's sitting down having lunch at a restaurant or a cafe.

2076
01:43:21,532 --> 01:43:23,333
Speaker 2: Would you have gone up and spoken to him or

2077
01:43:23,372 --> 01:43:27,132
Speaker 2: asked for a picture under those circumstances.

2078
01:43:26,372 --> 01:43:29,092
Speaker 7: Well, if I could get near him, I mean you can't.

2079
01:43:29,853 --> 01:43:32,692
Speaker 7: Can you get near such people? You know what I mean?

2080
01:43:32,732 --> 01:43:35,892
Speaker 7: They've usually got a whole lot of security around.

2081
01:43:36,013 --> 01:43:38,133
Speaker 2: But I guess I guess the point is, I guess

2082
01:43:38,133 --> 01:43:41,412
Speaker 2: the point I'm asking Joe is is do celebrities are

2083
01:43:41,452 --> 01:43:45,732
Speaker 2: celebrities owed a certain amount of privacy Even when they're

2084
01:43:45,772 --> 01:43:48,173
Speaker 2: out in public at a Concert's different. But if they're

2085
01:43:48,173 --> 01:43:49,853
Speaker 2: just going about their everyday.

2086
01:43:49,492 --> 01:43:54,053
Speaker 7: Life, well, everyone deserves respect when they're a celebrity or not,

2087
01:43:54,532 --> 01:43:58,572
Speaker 7: and everyone has boundaries. We all had boundaries, right. But

2088
01:43:58,652 --> 01:44:01,812
Speaker 7: the thing is, like, you know Betty Anne, she's I've

2089
01:44:01,853 --> 01:44:06,652
Speaker 7: seen her more than once and she's so approachable, so friendly, brilliant.

2090
01:44:06,692 --> 01:44:08,932
Speaker 2: Thank you so much for your call. Appreciate that Ossie Cracket.

2091
01:44:09,013 --> 01:44:11,293
Speaker 2: Greg Matthew scored a century here in christ Chitch back

2092
01:44:11,293 --> 01:44:13,492
Speaker 2: in the eighties. Our friend found himself beside him at

2093
01:44:13,492 --> 01:44:15,772
Speaker 2: a bar later that evening and said great, not Greg,

2094
01:44:16,013 --> 01:44:21,293
Speaker 2: to which Greg responded, if off real charmer Greg Matthews.

2095
01:44:22,093 --> 01:44:24,412
Speaker 2: Greg Matthew's got a lot of abuse in New Zealand,

2096
01:44:24,452 --> 01:44:27,133
Speaker 2: though especially in christ Church. I remember there he had

2097
01:44:27,173 --> 01:44:28,812
Speaker 2: that sort of winkle pick of shoes that he wore.

2098
01:44:29,173 --> 01:44:31,892
Speaker 2: And Greg Matthew's got a lot of abuse from the terra.

2099
01:44:32,053 --> 01:44:34,612
Speaker 2: So by the time you talked to both both, the

2100
01:44:34,612 --> 01:44:38,132
Speaker 2: time your friend talked to Greg Matthews, he was probably

2101
01:44:38,173 --> 01:44:39,732
Speaker 2: just absolutely sick of He.

2102
01:44:39,692 --> 01:44:42,213
Speaker 3: Was a slimmering volcano's too good.

2103
01:44:43,853 --> 01:44:46,132
Speaker 2: Robert de Niro would land a punch in your eye

2104
01:44:47,093 --> 01:44:49,372
Speaker 2: if you tried to get a selfie with him. Robert

2105
01:44:49,412 --> 01:44:51,253
Speaker 2: Niro is just he's not a tough guy in real life.

2106
01:44:51,253 --> 01:44:54,093
Speaker 2: Though he's just a little fellow in real life. I

2107
01:44:54,093 --> 01:44:55,732
Speaker 2: don't know if he's as tough as he is a

2108
01:44:55,732 --> 01:44:56,372
Speaker 2: taxi driver.

2109
01:44:57,772 --> 01:45:00,972
Speaker 3: Guys having a photo with someone you meet for two

2110
01:45:01,013 --> 01:45:03,892
Speaker 3: seconds and so fake. It's recording a meeting that didn't

2111
01:45:03,933 --> 01:45:04,412
Speaker 3: really happen.

2112
01:45:04,492 --> 01:45:06,933
Speaker 2: Yeah, yeah, and to what purpose to post it so

2113
01:45:07,013 --> 01:45:10,572
Speaker 2: you get likes on it? Is that why you do it?

2114
01:45:10,652 --> 01:45:12,492
Speaker 2: Or is it just so you can say, look, I mean,

2115
01:45:12,532 --> 01:45:14,652
Speaker 2: you prove that you met the person, which is interesting.

2116
01:45:14,692 --> 01:45:16,932
Speaker 2: I totally get it. But I also get Robbie Williams's

2117
01:45:16,973 --> 01:45:18,772
Speaker 2: point of view that it shouldn't be owed to you.

2118
01:45:19,692 --> 01:45:23,133
Speaker 2: If someone asks, if the celebrities doesn't really want to

2119
01:45:23,133 --> 01:45:25,452
Speaker 2: do it, then maybe you'd respect their privacy. You're not

2120
01:45:25,492 --> 01:45:27,253
Speaker 2: owed it just because they're famous, That's what i'd say.

2121
01:45:27,293 --> 01:45:29,053
Speaker 2: You think, Tyler, that they are it to everyone just

2122
01:45:29,053 --> 01:45:31,452
Speaker 2: because they've made money off you both by you being

2123
01:45:31,452 --> 01:45:31,812
Speaker 2: their fan.

2124
01:45:32,053 --> 01:45:34,292
Speaker 3: Yes, I do. I think if you're in the entertainment

2125
01:45:34,293 --> 01:45:36,892
Speaker 3: game and someone wants a selfie at any time of

2126
01:45:36,893 --> 01:45:38,852
Speaker 3: the day, even on an airplane or in a restaurant,

2127
01:45:38,853 --> 01:45:40,972
Speaker 3: they should offer that up. But I will say there's

2128
01:45:41,013 --> 01:45:44,973
Speaker 3: more and more of the professional autograph hunters, and I

2129
01:45:45,013 --> 01:45:47,213
Speaker 3: see that in videos popping up, and the celebrities are

2130
01:45:47,293 --> 01:45:49,452
Speaker 3: very wise to it now. And I don't know how,

2131
01:45:49,652 --> 01:45:51,892
Speaker 3: but they'll go through the week crowd and sign that

2132
01:45:52,093 --> 01:45:54,492
Speaker 3: I'm not signing that, sorry, and then move on and

2133
01:45:54,572 --> 01:45:56,612
Speaker 3: clearly they're up for resale. I don't know how much

2134
01:45:56,612 --> 01:45:58,212
Speaker 3: money you can get from some of these autographs.

2135
01:45:58,253 --> 01:46:01,772
Speaker 2: Yeah, probably, I don't know. As someone says here, fans

2136
01:46:01,772 --> 01:46:04,133
Speaker 2: are commodifying the star by taking a photo. They're using

2137
01:46:04,173 --> 01:46:07,612
Speaker 2: it for social currency, as signature, and a chat as

2138
01:46:07,692 --> 01:46:10,572
Speaker 2: primarily a personal interaction. Yeah, that's what Stephen Fryer saying.

2139
01:46:10,853 --> 01:46:13,253
Speaker 2: The six says, I don't want a selfie with anyone,

2140
01:46:13,253 --> 01:46:17,253
Speaker 2: including some mediocre radio jocks. That's from Mark. Well, look,

2141
01:46:17,293 --> 01:46:19,892
Speaker 2: if you're talking about me and Tyler, Mark, there's no choice.

2142
01:46:19,893 --> 01:46:22,293
Speaker 2: We're coming around to your house and we're forcing you

2143
01:46:22,333 --> 01:46:23,253
Speaker 2: to have a selfie with us.

2144
01:46:23,293 --> 01:46:25,372
Speaker 3: After that text, we're going to find you, Mark, and

2145
01:46:25,452 --> 01:46:27,412
Speaker 3: even we don't find you, we'll do a selfie and

2146
01:46:27,452 --> 01:46:29,133
Speaker 3: we'll send it to you via email. So don't worry

2147
01:46:29,173 --> 01:46:30,333
Speaker 3: about as many as you want.

2148
01:46:30,532 --> 01:46:32,692
Speaker 2: And Mark, I take mediocre as a compliment.

2149
01:46:32,812 --> 01:46:35,052
Speaker 3: Yeah, thank you very much. I appreciate what we strive

2150
01:46:35,133 --> 01:46:35,452
Speaker 3: for here.

2151
01:46:36,293 --> 01:46:38,972
Speaker 2: The fact we've reached mediocre and a mere one hundred

2152
01:46:38,973 --> 01:46:41,253
Speaker 2: and twenty shows on ZB I'm very proud of that.

2153
01:46:41,293 --> 01:46:43,732
Speaker 3: Ellically, oh eight one hundred and eighty ten eighty is

2154
01:46:43,772 --> 01:46:47,092
Speaker 3: the number to call? Who have you met celebrity wise?

2155
01:46:47,133 --> 01:46:49,133
Speaker 3: And what was the reaction when you ask for a

2156
01:46:49,133 --> 01:46:51,652
Speaker 3: selfie or a signature? Love to hear your stories? It

2157
01:46:51,772 --> 01:46:52,692
Speaker 3: is eighteen to four.

2158
01:46:54,572 --> 01:46:58,933
Speaker 1: Your home of Afternoon Talk Mad Heathen Taylor Adams Afternoons.

2159
01:46:58,973 --> 01:47:03,173
Speaker 3: Call Oh eight hundred eighty ten eighty us talk zib afternoon.

2160
01:47:03,213 --> 01:47:06,173
Speaker 3: It is quarter to four and we're talking about celebrity

2161
01:47:06,333 --> 01:47:10,053
Speaker 3: encounters and whether it's okay asked for a selfie or

2162
01:47:10,093 --> 01:47:13,612
Speaker 3: an autograph. This is on the back of Robbie Williams,

2163
01:47:13,652 --> 01:47:16,013
Speaker 3: who put up a very honest Instagram post saying he

2164
01:47:16,013 --> 01:47:16,692
Speaker 3: doesn't like it.

2165
01:47:19,973 --> 01:47:23,253
Speaker 2: Yeah, he sold seventy seven million records, Robbi Williams.

2166
01:47:23,372 --> 01:47:24,453
Speaker 3: Yeah, very successful.

2167
01:47:24,572 --> 01:47:26,692
Speaker 2: Yeah, but not in the United States. No, oh, here

2168
01:47:26,732 --> 01:47:30,293
Speaker 2: we go, Christine. You met the you met, oh Robin Williams.

2169
01:47:30,293 --> 01:47:34,772
Speaker 2: Not Robbie Williams, No Robin Oh yeah, no the actor.

2170
01:47:34,893 --> 01:47:36,893
Speaker 3: Yeah, yeah, the actor very famous.

2171
01:47:37,612 --> 01:47:40,532
Speaker 22: Yeah, I was. I was living in LA at the

2172
01:47:40,532 --> 01:47:45,372
Speaker 22: time and walking into a restaurant for brunch and these

2173
01:47:45,372 --> 01:47:47,852
Speaker 22: guys walked out and I sort of saw this one

2174
01:47:47,893 --> 01:47:51,652
Speaker 22: who recognized him. I said hello, and he said, oh, hi,

2175
01:47:51,772 --> 01:47:52,333
Speaker 22: how are you?

2176
01:47:52,333 --> 01:47:52,572
Speaker 17: You know?

2177
01:47:52,692 --> 01:47:56,213
Speaker 22: How's your day? Data? And so they went one way,

2178
01:47:56,293 --> 01:47:59,012
Speaker 22: we went the other and sat down. The girl said,

2179
01:47:59,093 --> 01:48:02,093
Speaker 22: how do you know him? I said, oh, I don't know.

2180
01:48:02,093 --> 01:48:06,173
Speaker 22: I've seen him around. They said, what's his name? I said, oh,

2181
01:48:06,253 --> 01:48:08,532
Speaker 22: I can't think. They said Robin Williams. I said, oh

2182
01:48:08,692 --> 01:48:14,972
Speaker 22: was it? And the next one, Rob Stewart, I met

2183
01:48:14,973 --> 01:48:19,293
Speaker 22: in a elevator in a hotel in Sydney. I mean,

2184
01:48:19,293 --> 01:48:22,933
Speaker 22: this is all last century stuff, you know. Anyway, this

2185
01:48:23,053 --> 01:48:25,812
Speaker 22: guy was was in the on the list when I

2186
01:48:25,853 --> 01:48:30,333
Speaker 22: hopped in. Nobody else and pretty scraggy looking guy, and

2187
01:48:30,772 --> 01:48:33,412
Speaker 22: he just started chatting away and we went up. There

2188
01:48:33,412 --> 01:48:35,013
Speaker 22: was only two of us and I had a little chat,

2189
01:48:35,173 --> 01:48:37,772
Speaker 22: got up the floor, said okay, bye, and I sort

2190
01:48:37,812 --> 01:48:40,293
Speaker 22: of recognized Niggley fairly. I got out of the lift

2191
01:48:40,293 --> 01:48:42,293
Speaker 22: and I thought, damn, there was Rob Stewart.

2192
01:48:44,173 --> 01:48:46,133
Speaker 3: That's a great story. Sorry, carry on.

2193
01:48:46,372 --> 01:48:51,092
Speaker 22: Yeah, And then satur Davis Junior. I used to publish

2194
01:48:51,093 --> 01:48:55,333
Speaker 22: a magazine in Auckland years ago, back in the seventies,

2195
01:48:55,772 --> 01:49:01,732
Speaker 22: and I went, I wasn't. I just used to publish it,

2196
01:49:02,053 --> 01:49:04,973
Speaker 22: but I didn't do any of the interviews. But I

2197
01:49:05,013 --> 01:49:06,772
Speaker 22: saw this interview with him coming up.

2198
01:49:07,133 --> 01:49:07,812
Speaker 17: I'm going to do that.

2199
01:49:07,893 --> 01:49:10,173
Speaker 22: I want to be him. So anyway it went up.

2200
01:49:10,173 --> 01:49:13,412
Speaker 22: There was up at the Intercontinental Hotel in Auckland. So

2201
01:49:13,452 --> 01:49:17,092
Speaker 22: I went in there and I was for some reagnized.

2202
01:49:17,093 --> 01:49:19,932
Speaker 22: They only reported there so that was fine checking away.

2203
01:49:20,013 --> 01:49:23,652
Speaker 22: All the group were there, and he said to me,

2204
01:49:23,973 --> 01:49:28,052
Speaker 22: ugly little man but perfect. But anyway, he was saying

2205
01:49:28,093 --> 01:49:31,213
Speaker 22: to me that to say of getting into trouble you

2206
01:49:31,253 --> 01:49:33,852
Speaker 22: know and drinking or doing drugs or whatever.

2207
01:49:33,933 --> 01:49:35,253
Speaker 9: While they were on the road.

2208
01:49:35,572 --> 01:49:38,772
Speaker 22: They used to watch, you know, the old spaghetti westerns

2209
01:49:38,492 --> 01:49:42,652
Speaker 22: on TV. They used to have And so what that

2210
01:49:42,732 --> 01:49:45,932
Speaker 22: the whole group used to do was have the spaghetti

2211
01:49:45,973 --> 01:49:49,932
Speaker 22: westerns on. It was no sound and they would all

2212
01:49:50,013 --> 01:49:53,253
Speaker 22: add libbed a script that all adopt a character and

2213
01:49:53,333 --> 01:49:55,333
Speaker 22: that that's what they used to do. That which used

2214
01:49:55,333 --> 01:49:57,692
Speaker 22: to fill them their time and keeps them, you know,

2215
01:49:57,853 --> 01:49:59,692
Speaker 22: from getting into bad habits.

2216
01:50:00,173 --> 01:50:00,452
Speaker 4: Right.

2217
01:50:01,133 --> 01:50:07,972
Speaker 3: Interesting, Yeah, thank you very much, Christine. Some great teachs

2218
01:50:07,973 --> 01:50:08,692
Speaker 3: coming through.

2219
01:50:08,812 --> 01:50:11,652
Speaker 2: Hey, So I asked Greg Matthews to sign my nephew's

2220
01:50:11,652 --> 01:50:13,852
Speaker 2: cricket pat back in the eighties at the basin. He

2221
01:50:13,933 --> 01:50:16,972
Speaker 2: asked me out for dinner. I poltely declined, seeing as

2222
01:50:17,013 --> 01:50:19,452
Speaker 2: we were both married. He was somewhat sleazy. So there's

2223
01:50:19,452 --> 01:50:22,173
Speaker 2: been Greg Matthews, a cricketer that you haven't heard a

2224
01:50:22,173 --> 01:50:24,333
Speaker 2: lot about for a while, but he was pretty controversial

2225
01:50:24,372 --> 01:50:26,213
Speaker 2: when he came through in New Zealand. He was about

2226
01:50:26,213 --> 01:50:29,412
Speaker 2: fancy pants and we'd get angry enough at Australians. So

2227
01:50:29,572 --> 01:50:32,293
Speaker 2: he's told someoney if off when he was on that tour,

2228
01:50:32,652 --> 01:50:35,812
Speaker 2: and he's asked someone out on the date. So do

2229
01:50:35,893 --> 01:50:38,093
Speaker 2: you go not looking good for Greg Matthew. I don't

2230
01:50:38,093 --> 01:50:40,013
Speaker 2: know he's allowed to ask someone out on a date,

2231
01:50:40,093 --> 01:50:40,372
Speaker 2: isn't he?

2232
01:50:40,452 --> 01:50:40,692
Speaker 11: Well?

2233
01:50:40,933 --> 01:50:44,652
Speaker 3: Yeah, but I mean it depended on how he reacted

2234
01:50:44,652 --> 01:50:46,052
Speaker 3: when she politely declined.

2235
01:50:46,853 --> 01:50:49,133
Speaker 2: When overseas for an Oe in twenty twenty, I met

2236
01:50:49,173 --> 01:50:51,892
Speaker 2: David and Victoria Beckham. I was having lunch at Herod's

2237
01:50:51,933 --> 01:50:54,492
Speaker 2: in one of their cafes with my mother and a friend.

2238
01:50:54,492 --> 01:50:56,412
Speaker 2: They said at the table side us. We were told

2239
01:50:56,452 --> 01:50:58,532
Speaker 2: by staff not to trouble them, but my friend, who

2240
01:50:58,652 --> 01:51:01,532
Speaker 2: has worked in radio and New Zealand, thought stuff. Not

2241
01:51:01,612 --> 01:51:03,772
Speaker 2: going to miss the opportunity to took a photo we

2242
01:51:03,893 --> 01:51:06,852
Speaker 2: had just developed and asked David to sign it. He

2243
01:51:06,973 --> 01:51:09,253
Speaker 2: was really lovely to talk to, very happy to do so.

2244
01:51:09,333 --> 01:51:11,173
Speaker 2: Victoria was not happy about it at all, but took

2245
01:51:11,173 --> 01:51:15,372
Speaker 2: the photo and signed it two different times though pre smartphones.

2246
01:51:15,612 --> 01:51:17,612
Speaker 2: But yeah, I mean, I don't know how I feel

2247
01:51:17,652 --> 01:51:20,852
Speaker 2: about that if someone's out having lunch, just I don't know, dear,

2248
01:51:22,532 --> 01:51:26,252
Speaker 2: that's a tough one. There are flash hotels in America

2249
01:51:26,253 --> 01:51:28,732
Speaker 2: where you definitely aren't allowed to go up to ask

2250
01:51:28,732 --> 01:51:30,532
Speaker 2: people for their pictures.

2251
01:51:30,612 --> 01:51:33,133
Speaker 3: Yeah, But on David Beckham, that's what I've heard, and

2252
01:51:33,173 --> 01:51:35,692
Speaker 3: that's clearly well, whether it's work for him or not,

2253
01:51:35,893 --> 01:51:38,892
Speaker 3: he enjoys it. But that is a reputation he's earned

2254
01:51:39,053 --> 01:51:41,692
Speaker 3: as a really nice guy because he does those sort

2255
01:51:41,692 --> 01:51:45,093
Speaker 3: of things, whereas his wife Victoria clearly doesn't have any

2256
01:51:45,093 --> 01:51:48,012
Speaker 3: problem telling somebody to bugger off, this is the wrong time.

2257
01:51:48,492 --> 01:51:50,972
Speaker 3: And most people when they think about Victoria Beckham probably

2258
01:51:51,013 --> 01:51:56,452
Speaker 3: don't think incredibly nice person. Yeah, you know, David's had

2259
01:51:56,492 --> 01:51:59,892
Speaker 3: to work for that nice guy persona, whereas Victoria doesn't care.

2260
01:51:59,732 --> 01:52:03,173
Speaker 2: Because she was already wealthy. I met Shaquille O'Neil, NBA

2261
01:52:03,293 --> 01:52:06,852
Speaker 2: superstar in Las Vegas at a basketball tournament and his

2262
01:52:06,933 --> 01:52:09,772
Speaker 2: son was playing. After the game, people were following him,

2263
01:52:09,893 --> 01:52:13,133
Speaker 2: so I did. However, they were asking him for money,

2264
01:52:14,572 --> 01:52:17,452
Speaker 2: not for a picture. I quickly took a pick while

2265
01:52:17,452 --> 01:52:19,812
Speaker 2: other people were quite rude and nasty and pushing. That's

2266
01:52:19,812 --> 01:52:22,852
Speaker 2: a that's another level. That's one thing I'm saying that

2267
01:52:22,933 --> 01:52:26,732
Speaker 2: it might be occasions where you know, a celebrity doesn't

2268
01:52:26,772 --> 01:52:28,253
Speaker 2: need to give you the picture, and maybe you should.

2269
01:52:28,253 --> 01:52:30,412
Speaker 2: Their owdes a bit of privacy, as probably Williams are

2270
01:52:30,412 --> 01:52:33,173
Speaker 2: saying here. But asking them for money is the next level.

2271
01:52:33,253 --> 01:52:34,932
Speaker 3: Yeah, hey, Shack, can I ten bucks?

2272
01:52:34,973 --> 01:52:36,053
Speaker 2: Check? Is a billionaire though?

2273
01:52:36,173 --> 01:52:38,333
Speaker 3: Yeah, he could afford it. But whether it's polite to

2274
01:52:38,372 --> 01:52:39,372
Speaker 3: ask Shack for ten bucks?

2275
01:52:39,372 --> 01:52:41,333
Speaker 2: Well, how much money does a billionaire have it on them?

2276
01:52:42,612 --> 01:52:42,732
Speaker 20: Oh?

2277
01:52:42,772 --> 01:52:44,972
Speaker 3: One hundred and eighty. Ten eighty is the number to call.

2278
01:52:45,053 --> 01:52:46,052
Speaker 3: It is ten to fourth.

2279
01:52:47,372 --> 01:52:50,892
Speaker 1: The big stories, the big issues, the big trends and

2280
01:52:51,093 --> 01:52:54,932
Speaker 1: everything in between. Matt Heath and Tyler Adams afternoons used

2281
01:52:54,933 --> 01:52:58,173
Speaker 1: talg ZIBB News Talk ZBB afternoon.

2282
01:52:58,213 --> 01:53:00,972
Speaker 3: It is seven to four Maureen, how are you?

2283
01:53:02,053 --> 01:53:04,652
Speaker 18: Good things guys? I'd have my photo taken with you.

2284
01:53:04,772 --> 01:53:07,213
Speaker 18: I think Mark was but harsh actually.

2285
01:53:07,213 --> 01:53:07,652
Speaker 3: Thank you?

2286
01:53:07,812 --> 01:53:12,093
Speaker 2: Yeah, anytime both of us were just one of us

2287
01:53:12,692 --> 01:53:15,572
Speaker 2: both Well, you don't want to picture a tilt, do you?

2288
01:53:16,812 --> 01:53:19,012
Speaker 3: Yeah, you've already got a few, don't you? Marin one

2289
01:53:19,013 --> 01:53:21,652
Speaker 3: more one?

2290
01:53:23,412 --> 01:53:24,413
Speaker 4: We were in Melbourne.

2291
01:53:24,612 --> 01:53:26,333
Speaker 18: We were at Melbourne a few years ago at a

2292
01:53:26,372 --> 01:53:29,253
Speaker 18: restaurant having lunch, and just when we were getting up

2293
01:53:29,253 --> 01:53:31,732
Speaker 18: to leave, one of our parties said, oh, that's Toby

2294
01:53:31,772 --> 01:53:34,852
Speaker 18: Mitchell over there, and who was at the time a

2295
01:53:34,933 --> 01:53:39,732
Speaker 18: notorious spikey ging person. And I said, oh, one, you

2296
01:53:39,812 --> 01:53:41,772
Speaker 18: tell me sooner I would have got a selfie and

2297
01:53:41,772 --> 01:53:46,372
Speaker 18: they went, yeah, that's what we were afraid of. But

2298
01:53:46,412 --> 01:53:48,812
Speaker 18: he is in the background of our photo. So every

2299
01:53:48,853 --> 01:53:50,732
Speaker 18: time when it comes up, I go, oh, the day

2300
01:53:50,812 --> 01:53:54,612
Speaker 18: we had lunchwards de Toby google them you you won't

2301
01:53:54,612 --> 01:53:55,093
Speaker 18: forget them.

2302
01:53:55,213 --> 01:53:56,932
Speaker 3: I just have. And he looks like a bad bugger.

2303
01:53:57,933 --> 01:54:00,452
Speaker 20: He's dirty, dirty, was getting very good service.

2304
01:54:00,492 --> 01:54:03,972
Speaker 3: So Tyler, yeah, I bet. And you met Prince Charles

2305
01:54:04,013 --> 01:54:04,532
Speaker 3: as well.

2306
01:54:04,333 --> 01:54:04,572
Speaker 11: Did you?

2307
01:54:05,452 --> 01:54:05,852
Speaker 13: Ok?

2308
01:54:05,973 --> 01:54:08,253
Speaker 18: Yes, well he was Prince charlesy and that was our

2309
01:54:08,372 --> 01:54:11,213
Speaker 18: to the earthquake. But I didn't have a felthy But

2310
01:54:11,293 --> 01:54:14,692
Speaker 18: I did touch the sleeve of his suit, which to

2311
01:54:14,692 --> 01:54:18,093
Speaker 18: do evidently, But yeah, he had a lovely handshake, and

2312
01:54:18,173 --> 01:54:19,012
Speaker 18: so did Molla.

2313
01:54:19,173 --> 01:54:21,053
Speaker 2: So hand you touched this? How did you? How did

2314
01:54:21,053 --> 01:54:23,013
Speaker 2: you what? You reached around and touched the sleeve of

2315
01:54:23,053 --> 01:54:24,213
Speaker 2: his No.

2316
01:54:23,933 --> 01:54:26,412
Speaker 18: No, he shook my hand as he walked away. Did

2317
01:54:26,532 --> 01:54:27,932
Speaker 18: I patted him on his shoulder?

2318
01:54:28,652 --> 01:54:30,532
Speaker 2: Did he have his sausage hands at that point? Or

2319
01:54:30,652 --> 01:54:33,213
Speaker 2: is his hands because his hands are quite inflamed at

2320
01:54:33,213 --> 01:54:35,333
Speaker 2: the moment, aren't they or that was a normal hand

2321
01:54:35,333 --> 01:54:37,453
Speaker 2: at that point.

2322
01:54:36,973 --> 01:54:38,852
Speaker 9: I didn't look at him.

2323
01:54:38,893 --> 01:54:39,812
Speaker 24: I don't remember.

2324
01:54:40,613 --> 01:54:43,893
Speaker 2: That's awesome. That's awesome to have. You don't need a

2325
01:54:43,933 --> 01:54:46,493
Speaker 2: picture of that, but the fact that you've shaked the

2326
01:54:46,573 --> 01:54:48,972
Speaker 2: King's hand, that is awesome.

2327
01:54:49,973 --> 01:54:50,173
Speaker 13: Yeah.

2328
01:54:50,173 --> 01:54:52,693
Speaker 18: And our relatives in England go, oh, we'd never get

2329
01:54:52,733 --> 01:54:56,092
Speaker 18: that close, you know, to King Charles or Prince Charles

2330
01:54:56,133 --> 01:54:58,132
Speaker 18: at the time. So yeah, it was.

2331
01:54:57,933 --> 01:54:59,172
Speaker 4: It was a real highlight.

2332
01:54:59,533 --> 01:55:02,133
Speaker 2: Yeah, good on you, Maureen. Hey, guys, I bumped into

2333
01:55:02,213 --> 01:55:05,493
Speaker 2: Dan Carter having a shower at the gym. I said, hey,

2334
01:55:05,613 --> 01:55:10,573
Speaker 2: Dan Carter, use his whole name, mind if I take

2335
01:55:10,573 --> 01:55:12,653
Speaker 2: a selfie with you? He said, yeah, sure. He was

2336
01:55:12,693 --> 01:55:15,533
Speaker 2: such a friendly, humble and accommodating guy. And you, Casey,

2337
01:55:15,772 --> 01:55:19,533
Speaker 2: you're wondering he was completely clothed, was showering in his clothes.

2338
01:55:19,772 --> 01:55:22,493
Speaker 2: I think we're missing something I must have left. I

2339
01:55:22,493 --> 01:55:24,973
Speaker 2: think that's quite an intimate place to approach someone in

2340
01:55:25,013 --> 01:55:25,573
Speaker 2: a changing shit.

2341
01:55:25,653 --> 01:55:26,533
Speaker 3: Good on Dan Carter.

2342
01:55:26,693 --> 01:55:28,653
Speaker 2: You know he seems like a lovely guy, Dan Carter.

2343
01:55:28,933 --> 01:55:32,932
Speaker 2: I have met Victoria Beckham several times and she is lovely.

2344
01:55:33,173 --> 01:55:35,573
Speaker 2: Take it back, Yeah, she's all right. She's my favorite

2345
01:55:35,613 --> 01:55:41,933
Speaker 2: spice girl after Ginger, scary and sporty. So thank you

2346
01:55:41,933 --> 01:55:43,972
Speaker 2: so much, all you great listeners for listening to the show,

2347
01:55:44,053 --> 01:55:46,812
Speaker 2: you great New Zealanders. The complete Matt and Jerry podcast

2348
01:55:46,853 --> 01:55:49,573
Speaker 2: will be out in about half an hour on iHeartRadio

2349
01:55:49,573 --> 01:55:51,373
Speaker 2: wherever you get your podcasts. So if you want to

2350
01:55:51,413 --> 01:55:54,733
Speaker 2: catch up on our chats on compulsory melody, military servers,

2351
01:55:54,772 --> 01:55:58,052
Speaker 2: AI surgery, and the rules around punishing some libs, listen

2352
01:55:58,093 --> 01:56:00,493
Speaker 2: to the pod. It's a good time anyway. The great

2353
01:56:00,493 --> 01:56:03,733
Speaker 2: and Powerful Heather Duplicy Allen is up next. Until we

2354
01:56:03,733 --> 01:56:05,253
Speaker 2: see you again, give them a taste of keiw.

2355
01:56:05,293 --> 01:56:08,293
Speaker 3: Yep, see you tomorrow, Mattie, than Tyer Adam.

2356
01:56:08,373 --> 01:56:15,012
Speaker 1: Yes for more from News Talk set B listen live

2357
01:56:15,213 --> 01:56:17,933
Speaker 1: on air or online, and keep our shows with you

2358
01:56:18,013 --> 01:56:21,013
Speaker 1: wherever you go with our podcasts on iHeartRadio