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Speaker 1: You're listening to a podcast from News Talk ZEDB. Follow

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Speaker 1: this and our Wide Ranger podcasts now on iHeartRadio.

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Speaker 2: Hello you, Great New Zealander, and welcome to Mettin Tyler

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Speaker 2: Full Show Podcast number one seventy for Monday the twenty

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Speaker 2: eighth of July twenty twenty five. Very emotional podcast. Talking

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Speaker 2: to Tom again, great New Zealander that he is, who's

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Speaker 2: got a terminal diagnosis on with a sarcoma. And we

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Speaker 2: talked to the Joanne from the Sarcoma New Zealand and

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Speaker 2: we ask you to donate to Sarcoma dot org dot

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Speaker 2: enzz because they're doing fantastic work work for people in

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Speaker 2: the community. So there was quite an emotional chat we

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Speaker 2: had there at the end of the show. Also we

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Speaker 2: went into building supplies and whyre houses so much to

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Speaker 2: build in New Zealand and we're telling you this, we'll

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Speaker 2: tell you soon at the start of the show imagine.

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Speaker 3: Yeah, yeah, you're and obviously the AI chatbots and kids,

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Speaker 3: but that was a great discussion as well. Download, subscribe,

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Speaker 3: give a review.

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Speaker 2: And we love you.

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

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

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Speaker 3: Talk said me, well, good afternoon to you. Welcome into

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Speaker 3: Monday show. Awesome to have your company as it always is,

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Speaker 3: and get a to the thousands of new listeners we've got.

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Speaker 3: We never take it for granted. Thank you for being

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Speaker 3: with us.

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Speaker 2: Yeah. Hey, I had a fantastic weekend of entertainment. Had

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Speaker 2: a great weekend. But as I mentioned before, I went

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Speaker 2: to the Full Metal Orchestra at Sparkarina. Fantastic performance, just

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Speaker 2: so many good songs. The orchestra is fantastic. John too

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Speaker 2: Good was incredible. I forget her name from us. She

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Speaker 2: was amazing. She's from the band Devilskin. She was from

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Speaker 2: fantastic as well. The whole thing, Milan from Pluto, Michae

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Speaker 2: Hall from Pluto, the whole thing was fantastic, right, love

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Speaker 2: it and then and then who. I was concerned about

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Speaker 2: watching this movie last night because I was a huge

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Speaker 2: fan of the original, probably watched it fifty times in

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Speaker 2: my life yep. So when I pressed play on Happy

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Speaker 2: Gilmore two on Netflix, I was like, oh, I don't

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Speaker 2: ruin the legacy of one of the funniest movies of

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Speaker 2: all time. And it did not ruin the legacy. In fact,

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Speaker 2: it was so good. It was it was stupid, it

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Speaker 2: was cheesy. There were gratuitous cameos just splatted all over

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Speaker 2: the shop. But I was just constantly laughing through Happy

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Speaker 2: Gilmore too. The gag count was just just so very high,

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Speaker 2: I mean absolute, I mean everyone, there was a cameo

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Speaker 2: from everyone, but Scotti Shffler was particularly good. Yeah, Jack Nichols,

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Speaker 2: he had John Daily living at Happy Gilmore's house.

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Speaker 3: It was so good.

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Speaker 2: Post Malone was in there, Hailey, Joel Osmond. It's looking

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Speaker 2: very different from the sixteenth Days. But the whole thing.

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Speaker 2: I just loved it. I laughed so much. Yeah. I

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Speaker 2: was watching with my son who's fifteen, and you know, he's, oh,

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Speaker 2: don't make me watch a Needam Sandler movie. And then

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Speaker 2: we watch it and he was just laughing all the

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Speaker 2: way through. It's so idiotic and silly. And once again

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Speaker 2: the juxtaposition between golf and extreme violence is still funny.

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Speaker 3: Yeah, still there still got it when I say.

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Speaker 2: Extreme violence, extreme slapstick violence. Yeah, but no, they did it.

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Speaker 2: They did it so well.

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Speaker 3: Bad Bunny as the caddy, I thought he was really good.

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Speaker 3: You know, if you don't know who bad Bunny is

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Speaker 3: very successful rapper and artist, and I thought, oh, is

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Speaker 3: he gonna nails? He absolutely nailed it. He was so good.

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Speaker 2: You also got post malone in there, You've got eminem

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Speaker 2: in there. But you know, just listening off the cameos

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Speaker 2: because some people are going here, it's very easy to

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Speaker 2: get cameos in there. But it's it's so stupid. Travis

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Speaker 2: Kelsey beating people up in a restaurant.

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Speaker 4: It's great.

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Speaker 3: That's yeah, highly recommended. Right on to today's show after

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Speaker 3: three o'clock. So back in April, we were talking about

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Speaker 3: the cost of funerals and we had a phone call

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Speaker 3: from a guy called Tom. He is a great New Zealander. Tom.

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Speaker 3: He flowed us with the news that he was actually

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Speaker 3: planning his own funeral during that chat, after being diagnosed

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Speaker 3: with sarcoma.

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Speaker 2: That's right. So we're going to have a talk to

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Speaker 2: Tom again where he's at now, and we're going to

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Speaker 2: talk to Sarcoma New Zealand. And look, right now, I

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Speaker 2: encourage you to do donate to these great New Zealanders at

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Speaker 2: sarcoma dot org dot in Z. But look, we also

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Speaker 2: want to hear from from people who and who have

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Speaker 2: or have people who love who they love, who have

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Speaker 2: dealt with difficult health situations and how you've reached out

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Speaker 2: for help and who you've reached out to. Because Tom

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Speaker 2: tells us that sarcoma New Zealand were very important to

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Speaker 2: him and dealing with his diagnosis. Yep, So you would

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Speaker 2: love to hear from people that have found a way.

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Speaker 3: Yep. That will be an important chat after three o'clock,

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Speaker 3: after two o'clock, a confidential helper or an unreliable manipulator.

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Speaker 3: Either way, AI, as we know, has become a source

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Speaker 3: of emotional support for many but also companionship for twenty

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Speaker 3: three percent of New Zealand school children. They are big numbers.

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Speaker 2: Yeah, so it kind of concerns me a little bit

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Speaker 2: because AI. Look, you don't want children to be lonely,

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Speaker 2: but do we really want them to have AI friends

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Speaker 2: over real friends, because you know, human contact, as everyone knows,

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Speaker 2: is the best thing for us. Definitely, it's the best

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Speaker 2: thing for our mental health and developments. And you know

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Speaker 2: you want kids creating healthy human relationships. You don't want

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Speaker 2: them to replace their friends or worse, they're upstairs not

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Speaker 2: hanging out with their family because they're talking to an

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Speaker 2: AI bot that's just telling them exactly what they want

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Speaker 2: to hear and potentially having hallucinations because AI doesn't get

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Speaker 2: everything right now, there's certainly true, and strangely, the more

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Speaker 2: advanced AI gets, the more hallucinations it starts having. So

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Speaker 2: just be interested to see if you have your kids

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Speaker 2: on AI or if you are having a relationship with AI,

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Speaker 2: not like the movie her an actual relationship with AI.

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Speaker 2: But you know, even people with the way they talk

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Speaker 2: to groc or chat gp T, they are kind of

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Speaker 2: talking to it back and forth throughout the day and

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Speaker 2: feeling like it's their friend and it's there to help them.

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Speaker 3: So ye, you know, is absolutely oh eight hundred and

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Speaker 3: eighty ten eighty on that after two o'clock. But right now,

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Speaker 3: let's have a chat about the cost of building products.

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Speaker 3: The government is increasing the number of building products available

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Speaker 3: right here in New Zealand. That includes the plaster board,

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Speaker 3: clouding systems, external doors and windows. It was announced by

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Speaker 3: Construction Minister Chris Pink over the weekend and he says,

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Speaker 3: I quote, it is fifty percent more expensive to build

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Speaker 3: a standalone home in New Zealand than in Australia. And

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Speaker 3: that is frankly outrageous.

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Speaker 2: Yeah, So eight hundred eighty ten eighty. If you have

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Speaker 2: are in the business, or if you have built something

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Speaker 2: recently paid for it, what smashed the budget for you?

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Speaker 2: What was the biggest expense? Was it the materials? Yep,

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Speaker 2: because this should help with the materials. Was it the

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Speaker 2: consent or was it the labor? Why is it so

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Speaker 2: expensive to build stuff in New Zealand's And if this,

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Speaker 2: do you think this is a good start? Do you

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Speaker 2: think it will make a material difference, part in the

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Speaker 2: pun or what else can we do? Yeah?

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Speaker 3: Eight hundred eighty ten eighty is the number to call.

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Speaker 3: So Chris Pink was on with Mike Hosking this morning,

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Speaker 3: and here's a little bit about what he said when

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Speaker 3: he was asked when these products will be available and

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Speaker 3: the products that are likely to be available.

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Speaker 5: In some cases it will be immediate effects. In another

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Speaker 5: cases it will be a rolling more of people importing

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Speaker 5: and being able to use. As follows, a lot.

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Speaker 6: Of attention on plasterboard. Is there genuine savings to be

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Speaker 6: made on a variety of other stuff?

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Speaker 5: Class boards well known as a case study because there

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Speaker 5: is market dominance with one player at ninety seven percent.

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Speaker 5: We've specified doors and windows, insulation, and a few other items,

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Speaker 5: but more to come as well.

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Speaker 6: In totality, what do I bring my house price build

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Speaker 6: down to?

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Speaker 5: Let's say twenty five percent of the cost of a

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Speaker 5: building is materials. So on a six hundred thousand dollars

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Speaker 5: new build, for example, GE's one hundred and fifty thousand

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Speaker 5: dollars up for grabs, So you only need a small

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Speaker 5: percentage across that kind of money to actually get quite

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Speaker 5: a significant saving of tens of thousands of dollars.

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Speaker 2: I love that better. The tens of thousands of dollars.

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Speaker 3: Yeah, twenty five percent of the cost of in a home.

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Speaker 3: That's big numbers.

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Speaker 2: So twenty five percent of the cost of the home

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Speaker 2: is the materials. Yeah, so that's interesting, isn't it, because

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Speaker 2: it's made out of material. Exactly twenty five percent is

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Speaker 2: the material seventy five percent of labor. I suppose I

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Speaker 2: w eight hundred.

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Speaker 3: And eight compliance such Yeah, exactly, oh, eighte hundred and

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Speaker 3: eighty ten eighty is the number to call. The phones

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Speaker 3: have lit up, but really keen to hear from you.

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Speaker 3: If you're in the trade or you've recently gone through

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Speaker 3: a new home build what was the process like and

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Speaker 3: is this going to make a difference.

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Speaker 2: Probably it's all because New Zealand is a mere pimple

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Speaker 2: on the back side of the world. Getting product here

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Speaker 2: costs more. I mean yeah, yep. The factor is isolated

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Speaker 2: when you look at in the United States of America,

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Speaker 2: everything's just trucked from place to pace.

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Speaker 7: Yep.

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Speaker 3: That will play into it. Absolutely. It is fourteen past

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Speaker 3: one oh eight hundred and eighty ten eighty is the number.

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Speaker 1: Call the big stories, the big issues, the big trends

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

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Speaker 1: used talks.

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Speaker 3: It'd be very good afternoon to here. We are talking

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Speaker 3: about building products. So the government and Chris Penk, the

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Speaker 3: Minister of Building and Construction, announced over the weekend they're

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Speaker 3: going to open the doors for a lot more overseas

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Speaker 3: products to come into this country with the hope that

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Speaker 3: it will reduce the cost of a new home build.

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Speaker 3: So love to hear from you.

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Speaker 2: Will tell them to change the last name to Plank

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Speaker 2: because so then this would be more amusing. What blew

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Speaker 2: your budget out was that the materials, was that the

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Speaker 2: labor or consent or if you're in the in the business.

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Speaker 2: Where where will this make a material difference?

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Speaker 3: Oh eight hundred and eighty ten eighty is the number

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Speaker 3: to call, Malcolm.

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Speaker 8: Hell are here you going? Matt and Taylor?

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Speaker 2: Very good? Thanks mate your thoughts on this?

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Speaker 8: Yeah, well, I think the bottom line is the markup

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Speaker 8: on materials is still huge to the end user. So

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Speaker 8: if you know, you get the builder or the spec

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Speaker 8: built house, you're paying retail for all those materials at

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Speaker 8: the end of the project, which I thinks you know

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Speaker 8: that that's where you get this big difference between here

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Speaker 8: and Australia.

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Speaker 9: Maybe I'm not.

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Speaker 8: Sure what they do, but you know, fairly big building

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Speaker 8: a while ago are though seven years ago probably, but

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Speaker 8: still relative, and the market was huge and it's my

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Speaker 8: you know, if someone's going to build a new house,

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Speaker 8: what they really want to do is open their own

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Speaker 8: account and buy their own materials and employ the builder

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Speaker 8: to do it. And that's kind of what used to

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Speaker 8: happen fifty sixty years ago. I think that's probably a

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Speaker 8: way around it.

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Speaker 2: You'd have to everybod of know how to do that, though,

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Speaker 2: wouldn't you, like I would struggle with that stuff.

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Speaker 8: Yeah, yeah, although it's not that hard once you've got

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Speaker 8: your plans, you know, you basically you just drop your

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Speaker 8: plans into the building supplier and they quote it or

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Speaker 8: you know, you can get a couple of those and

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Speaker 8: you can open your account and you can buy you know,

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Speaker 8: two or three hundred grands worth of product.

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Speaker 2: So what you're saying is basically you're paying for the

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Speaker 2: cost of the materials that goes to the manufacturer. Then

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Speaker 2: you're playing to the retail in the middle. So that's

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Speaker 2: you know, whatever that markup has could be another fifty percent,

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Speaker 2: just to say, but then sometimes the builder will also

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Speaker 2: put a a markup themselves on the materials.

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Speaker 8: Right, Yeah, he shouldn't really, he wouldn't really normally go

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Speaker 8: above the retail of a product. That would be a

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Speaker 8: bit mean, you know, because you can walk off the

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Speaker 8: walk off the street and by it. You know, would

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Speaker 8: be a bit rude to charge more than that.

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Speaker 5: You know.

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Speaker 8: One thing that's always stagger me and this product, which

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Speaker 8: is one hundred million pipe you know, rain drain pipe,

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Speaker 8: under the ground, waste pipe in that it hasn't really changed.

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Speaker 8: I've bought a bit of that way then that hasn't changed.

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Speaker 8: Should I built one of my houses twenty five years ago.

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Speaker 8: It was thirty five dollars a lenk back then. It's

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Speaker 8: still under forty dollars a length now. But on your drainage,

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Speaker 8: if you get some drainage, donder, they're charging you one

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Speaker 8: hundred and sixty bucks a length.

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Speaker 2: So if the builders, if the builders aren't putting a

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Speaker 2: markup on top of the retail price. So how is

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Speaker 2: forming your own business and buying it yourself save you money?

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Speaker 2: Because are you from retail retail?

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Speaker 8: No, no, no no. You would open an account and

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Speaker 8: sort of a you would start a little company and

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Speaker 8: just buy if you think there, you go along, you

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Speaker 8: get your prices and they'll give you a good work.

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Speaker 8: That's what I did then.

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Speaker 2: And so you're still playing retail, but you get a

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Speaker 2: bitter deal for yourself.

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Speaker 8: You aren't paying retail. You'll be playing just cost plush.

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Speaker 8: When these builders get it, they get it cost plus

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Speaker 8: about five percent.

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Speaker 2: Right, So then the builders aren't buying a retail.

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Speaker 8: No hell no, right, they'll charge on the project. They'll

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Speaker 8: charge in retail. I might get a few people phoning

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Speaker 8: in now.

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Speaker 2: Because because because I see it, because because a builder

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Speaker 2: goes to say I'll just pull pull the name out

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Speaker 2: of my butt. But bunning Strade for example, so they're

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Speaker 2: playing paying are you saying that they're only paying a five

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Speaker 2: percent markup on on what they buy there?

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Speaker 8: Most if you're a good builder, you will be here right, Well,

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Speaker 8: you're paying bigger all And another thing with.

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Speaker 2: That, just Bunnings make the money.

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Speaker 10: Then we'll just.

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Speaker 9: Turn over.

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Speaker 8: And from Joe Bloggs is coming off the street, I guess.

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Speaker 8: But another thing that I heard lux And say this

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Speaker 8: morning about getting American jib board, for instance, But all

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Speaker 8: their jib board that I know of is actually Imperial,

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Speaker 8: so it's all twenty mil, two wide and thirty odd

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Speaker 8: mel too long, bath standard sort of studs. But the

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Speaker 8: building I'd done, I used Elephant board on that most

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Speaker 8: of it where I could. Some of it I couldn't

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Speaker 8: because you couldn't get the big thick.

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Speaker 10: Stuff.

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Speaker 8: They don't make nineteen.

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Speaker 9: Jib board overseas.

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Speaker 8: I to stop at sixteen mil or five eight, so

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Speaker 8: I had it was stuck to get their stuff, and

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Speaker 8: it's wanted to go more and more sheets of it.

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Speaker 8: But yeah, Elephant Boards premium product that is better than

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Speaker 8: Windstone's board by miles. Yeah, one of the best ones

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Speaker 8: in the world.

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Speaker 10: I would say right.

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Speaker 2: Well, thank you for your call, Malcolm, I work and WHOLESO.

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Speaker 2: This guy's not quite right. It's still a bit to

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Speaker 2: go through your builder, electrical, electricien and plumber. Yeah, and

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Speaker 2: I thought can get forty percent off retail and it's

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Speaker 2: normal to add ten percent to materials, so clients still

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Speaker 2: better off.

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Speaker 3: There you go, that's no information builder here.

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Speaker 2: The reason that we put markup on the materials is

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Speaker 2: twofold one. We are expected to warrant every material supplied

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Speaker 2: as if there is a product fault, we get called

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Speaker 2: to deal with it. Secondly, construction businesses need to make money,

302
00:14:50,413 --> 00:14:53,013
Speaker 2: as does any other builder. We only add ten percent

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00:14:53,053 --> 00:14:56,813
Speaker 2: markup on the materials and subcontractors. The last build I did,

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Speaker 2: this equated to thirty K on a four hundred and

305
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Speaker 2: fifty K built.

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Speaker 3: Good to know, oh e one hundred and eighty ten eighty.

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Speaker 3: If you are a builder, love to hear from you

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Speaker 3: on some of the things that Malcolm just said there.

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Speaker 3: If you want to push back on some of those elements,

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Speaker 3: love to hear from you. We are talking about the

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Speaker 3: cost of building materials and bringing more into New Zealand

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Speaker 3: from overseas. If you're affected by this, o. E. One hundred

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Speaker 3: and eighty ten eighties and number to call twenty three past.

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Speaker 1: One, putting the tough questions to the newspeakers. The mic

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Speaker 1: asking breakfast.

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Speaker 6: The timing is Chris of Eleuction's, well, give me some

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Speaker 6: good news on this foreigners buying houses?

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Speaker 2: Yeah, so, I mean you saw Winston last week.

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Speaker 1: We're making progress.

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Speaker 2: I know it's not the answer you want. You're going

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Speaker 2: to tell me what the answer is right now, right today? Correct,

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Speaker 2: I get it.

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Speaker 6: We have Chris is being made. What's the holder? He

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Speaker 6: seems to understand it needs to be rective. No, he does,

325
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Speaker 6: he does, And the conversations are good and positive.

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Speaker 2: For what we're discussing is a mechanism by help.

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Speaker 6: So what are you stuck on numbers for a house?

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Speaker 6: How high the value of the houses? That's one of

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Speaker 6: the conversations here, but there'll be other, which one to

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Speaker 6: make sure you.

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Speaker 2: Mean they'll be there?

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Speaker 7: What are they?

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Speaker 6: And I want to make sure we get the mechanisms

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Speaker 6: right back tomorrow at six am the mic hosking Breakfast

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Speaker 6: with a Vida News talk z B.

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Speaker 3: Very good afternoon to you. We're talking about the cost

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Speaker 3: of building materials. The government hopes that will come down considerably.

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Speaker 3: If you are building a homer, you're in the trade

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Speaker 3: by opening up the gates to allow international products into

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Speaker 3: the country. What do you say, oh, eight hundred eighteen eighty.

341
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Speaker 2: Man Tyler, what do you think? All the trades are

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Speaker 2: driving around and the latest model utes their profit margins

343
00:16:21,453 --> 00:16:24,133
Speaker 2: are horri fact? Think about that? Just had a new

344
00:16:24,133 --> 00:16:27,373
Speaker 2: hot water cylinder install three quotes three thy five hundred,

345
00:16:27,853 --> 00:16:32,013
Speaker 2: four thousand, six hundred five two hundred materials are fourteen

346
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Speaker 2: hundred dollars. Job took five hours. Work it out for yourselves,

347
00:16:35,373 --> 00:16:39,013
Speaker 2: cheers Allen? Right, Okay, well you know I just picked

348
00:16:39,093 --> 00:16:42,253
Speaker 2: up element and lengths from Chinese input half the price

349
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Speaker 2: of New Zealand Australian supplier. All right, but are they

350
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Speaker 2: the same colony?

351
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Speaker 3: Exactly? Oh eight hundred eighty ten eighty is the number

352
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Speaker 3: to call.

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Speaker 2: So I mean, I'd like to hear from builders. Eight

354
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Speaker 2: hundred eighty ten eighty. Is it true what Chad says?

355
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Speaker 2: And the previous text is said one of the previous

356
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Speaker 2: previous sixes. Builders must stop making massive profits before the

357
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Speaker 2: price of building will come down. Are builders making massive profits?

358
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Speaker 3: Are you absolutely creaming it out there?

359
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Speaker 2: I mean you will make the profits that the market

360
00:17:07,093 --> 00:17:07,973
Speaker 2: allows you to make.

361
00:17:08,373 --> 00:17:11,693
Speaker 3: Imagine, because otherwise you get under cut by someone else, right, yeah, yeah, yeah.

362
00:17:11,733 --> 00:17:13,373
Speaker 2: But also I mean if you're you know, anyone that

363
00:17:13,453 --> 00:17:16,893
Speaker 2: runs a construction companies, which a little one knows that,

364
00:17:17,173 --> 00:17:20,653
Speaker 2: you know the pressures on finishing a job, you know that,

365
00:17:20,853 --> 00:17:22,293
Speaker 2: you know that they take a bit of risk as well.

366
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Speaker 2: But I love to hear from you on eight hundred

367
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Speaker 2: eighteen eighty. Cody, you've just finished an extension on the deck.

368
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Speaker 2: How'd that go? Yeah?

369
00:17:29,293 --> 00:17:32,533
Speaker 11: I'm not a builder, but just just want to side on,

370
00:17:32,933 --> 00:17:34,613
Speaker 11: you know, go on the builder side a little there.

371
00:17:34,613 --> 00:17:37,973
Speaker 11: They're not making massive profits and new you it'll be

372
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Speaker 11: it'll be a text right off. But that's the bloody

373
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Speaker 11: home workers. They work harder than I do.

374
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Speaker 2: Yeah, I mean some people look around and see anyone

375
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Speaker 2: making profit is a bad thing. Any profit at all

376
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Speaker 2: is not good according to some people.

377
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Speaker 3: Really, Oh, Cody, we just lost year. We'll try and

378
00:17:56,613 --> 00:17:59,052
Speaker 3: get Cody back. What a buger, But will carry on

379
00:17:59,093 --> 00:18:01,213
Speaker 3: that conversation. It just must have gone through a tunnel. Oh,

380
00:18:01,213 --> 00:18:03,733
Speaker 3: eight hundred and eighteen eighty is the number to call.

381
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Speaker 2: Guys, Am I the only one concerned about these overseas

382
00:18:07,693 --> 00:18:11,333
Speaker 2: products being of poor quality leading to future building nightmares. Craig,

383
00:18:11,413 --> 00:18:14,413
Speaker 2: But I think that's been looked at. Yeah, so they're

384
00:18:14,453 --> 00:18:17,053
Speaker 2: just pre approving the products. And I think the main

385
00:18:17,093 --> 00:18:19,413
Speaker 2: advantage here is when the council looks at it, they

386
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Speaker 2: don't go, nah, you can't use that. You go no,

387
00:18:21,533 --> 00:18:25,093
Speaker 2: these have been pre approved. These thousands of products are fine.

388
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Speaker 2: You don't need to delay dowly. Let's just go.

389
00:18:27,293 --> 00:18:27,533
Speaker 10: Yeah.

390
00:18:27,573 --> 00:18:29,933
Speaker 3: It's cutting into the monopoly, as we saw with chub

391
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Speaker 3: a couple of years back.

392
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Speaker 2: Cody, you're back, Yeah, I'm back.

393
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Speaker 11: I don't know what.

394
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Speaker 2: It's great to have your back, you were saying, yeah.

395
00:18:37,813 --> 00:18:40,133
Speaker 11: Yeah, yeah. So I just I did a extension, so

396
00:18:40,133 --> 00:18:41,893
Speaker 11: I had like a it's a second story one. So

397
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Speaker 11: I had to get it all consented and whatnot, about

398
00:18:44,693 --> 00:18:46,813
Speaker 11: forty five grand all up and all done. But fifteen

399
00:18:46,813 --> 00:18:49,813
Speaker 11: granded that was drawing drawings and council fees.

400
00:18:50,333 --> 00:18:53,293
Speaker 2: So she's pretty high there, fifteen grand of that.

401
00:18:54,053 --> 00:18:56,453
Speaker 11: Yeah, So the council have three inspections during the process,

402
00:18:56,453 --> 00:18:58,013
Speaker 11: as you getting the final one tomorrow, so wish me

403
00:18:58,053 --> 00:19:01,333
Speaker 11: luck there, good luck, yeah, thank you. But just the

404
00:19:01,413 --> 00:19:03,893
Speaker 11: amount of engineering, the amount of bracing, I've got a

405
00:19:03,893 --> 00:19:05,213
Speaker 11: couple of mates that the build as one of them

406
00:19:05,213 --> 00:19:07,613
Speaker 11: did the job. You're just blown away by what they require.

407
00:19:08,733 --> 00:19:10,493
Speaker 11: The house is going to fall down before the deck

408
00:19:10,493 --> 00:19:11,453
Speaker 11: fills down, that's for sure.

409
00:19:12,653 --> 00:19:15,813
Speaker 2: Yeah, so I guess how do you balance that because

410
00:19:15,813 --> 00:19:18,773
Speaker 2: you want to make sure that your deck stays up

411
00:19:18,933 --> 00:19:24,532
Speaker 2: for forever, you know, And yeah it doesn't.

412
00:19:23,133 --> 00:19:25,653
Speaker 11: Well, like I want it to consented just for when

413
00:19:25,693 --> 00:19:28,173
Speaker 11: I sell the house one day, Like noneconsented of your

414
00:19:28,173 --> 00:19:29,213
Speaker 11: house just puts people off.

415
00:19:29,253 --> 00:19:29,453
Speaker 10: You know.

416
00:19:30,293 --> 00:19:32,253
Speaker 11: I spent about fifteen grand more on fees, and I've

417
00:19:32,253 --> 00:19:34,373
Speaker 11: probably been another seven or eight grand on stainless steel

418
00:19:34,373 --> 00:19:37,933
Speaker 11: bracing and stainless steel fixings that were required. So she's

419
00:19:38,173 --> 00:19:40,213
Speaker 11: pretty out the gate. If I don't myself, it would

420
00:19:40,213 --> 00:19:42,373
Speaker 11: have been, you know, under half the dryst Do you

421
00:19:42,413 --> 00:19:43,853
Speaker 11: think I know?

422
00:19:43,933 --> 00:19:48,013
Speaker 2: So? So do you think those consenting fees are exorbitant?

423
00:19:48,013 --> 00:19:49,453
Speaker 2: Do you think that this.

424
00:19:49,573 --> 00:19:53,173
Speaker 11: Room down the continuing fees weren't bad. It's just what

425
00:19:53,213 --> 00:19:57,453
Speaker 11: they require. It's not me making not me saying this,

426
00:19:57,533 --> 00:20:00,373
Speaker 11: but my mates at the builders that is blown away

427
00:20:00,373 --> 00:20:02,413
Speaker 11: by the amount of bracing and the amount of stainless

428
00:20:02,413 --> 00:20:04,773
Speaker 11: they're require. We're close to the ocean here, so everything

429
00:20:04,813 --> 00:20:08,173
Speaker 11: had to be stainless because we're in Auckland, but just crazy.

430
00:20:08,333 --> 00:20:10,413
Speaker 11: I also couldn't believe that one hundred and fifty grand

431
00:20:10,653 --> 00:20:12,333
Speaker 11: sorry six and a grand of a house. One hundred

432
00:20:12,333 --> 00:20:14,413
Speaker 11: and fifty is only building materials that blew me away.

433
00:20:14,813 --> 00:20:16,773
Speaker 2: Yeah, yeah, yeah, that blew me anyway as.

434
00:20:16,693 --> 00:20:19,773
Speaker 11: Well with the other four hundred.

435
00:20:18,853 --> 00:20:20,853
Speaker 2: Exactly one hundred and eighty ten eighty. Where's the other

436
00:20:20,853 --> 00:20:23,493
Speaker 2: four hundred and fifty grand coming from? Yeah?

437
00:20:23,773 --> 00:20:27,493
Speaker 3: So, but having three times that, the council has to

438
00:20:27,493 --> 00:20:29,533
Speaker 3: come around and check it off. And I understand the

439
00:20:29,613 --> 00:20:31,653
Speaker 3: chicken process behind it, and we don't want another leaky

440
00:20:31,653 --> 00:20:35,133
Speaker 3: building situation. But that feels excessive. That feels really excessive.

441
00:20:35,133 --> 00:20:37,133
Speaker 3: And we know when a lot of these guys come around,

442
00:20:37,253 --> 00:20:39,653
Speaker 3: it's a tick box exercise. They're there for five minutes

443
00:20:39,653 --> 00:20:43,093
Speaker 3: and charge a fortune. So clearly there is some some

444
00:20:44,453 --> 00:20:46,933
Speaker 3: you know, fat to cut from that process. Oh we've

445
00:20:46,973 --> 00:20:47,893
Speaker 3: lost Cody again.

446
00:20:47,893 --> 00:20:49,653
Speaker 2: You asked Cody again. Yeah, yeah, he didn't think was

447
00:20:49,693 --> 00:20:51,213
Speaker 2: that much, but I guess it does delay things. I

448
00:20:51,213 --> 00:20:54,613
Speaker 2: always wonder because we you know, rules get added upon

449
00:20:54,733 --> 00:20:57,613
Speaker 2: rules and on added upon rules on rules. Yeah, so

450
00:20:57,693 --> 00:21:00,493
Speaker 2: sometimes I know there should be some kind of blankets.

451
00:21:00,573 --> 00:21:03,933
Speaker 2: Every five year, go and arraise all the rules and

452
00:21:03,973 --> 00:21:06,253
Speaker 2: then kind of like a new a new formula and

453
00:21:06,293 --> 00:21:09,893
Speaker 2: a formula one regulations love the go back you and

454
00:21:09,933 --> 00:21:11,413
Speaker 2: you get rid of all of them, and then you

455
00:21:11,453 --> 00:21:14,613
Speaker 2: make sure that you've only got rules and regulations that

456
00:21:14,653 --> 00:21:17,292
Speaker 2: are actually count because otherwise people just add one, add one,

457
00:21:17,293 --> 00:21:18,893
Speaker 2: add one, add one, and then it becomes a mess.

458
00:21:18,973 --> 00:21:20,173
Speaker 3: Right yep, makes a lot of sense.

459
00:21:20,213 --> 00:21:21,933
Speaker 2: Thanks sheet every five years.

460
00:21:21,973 --> 00:21:23,733
Speaker 3: Oh eight one hundred and eighty ten eighty is the

461
00:21:23,813 --> 00:21:25,893
Speaker 3: number to call. Coming up after the headlines. We've had

462
00:21:25,893 --> 00:21:28,413
Speaker 3: a call from a gentleman who works as a trade

463
00:21:28,453 --> 00:21:32,093
Speaker 3: rep for a building supply material company, so be good

464
00:21:32,133 --> 00:21:34,733
Speaker 3: to ask him a few questions. He's coming up very shortly,

465
00:21:34,813 --> 00:21:36,173
Speaker 3: but we are keen to hear from you. Oh eight

466
00:21:36,293 --> 00:21:38,213
Speaker 3: hundred eighty ten eighty is the number to call. It's

467
00:21:38,213 --> 00:21:40,333
Speaker 3: twenty nine to two.

468
00:21:41,853 --> 00:21:45,573
Speaker 12: Jew's talk said the headlines with blue bubble taxis it's

469
00:21:45,613 --> 00:21:49,373
Speaker 12: no trouble with a blue bubble. Workplace Relations and Safety

470
00:21:49,453 --> 00:21:52,973
Speaker 12: Minister Brook van Valden is loosening the rules on scaffolding,

471
00:21:53,373 --> 00:21:56,493
Speaker 12: meaning it does not have to be used in every situation.

472
00:21:57,373 --> 00:22:01,093
Speaker 12: A magnitude four point six earthquake struck near Reutoria, north

473
00:22:01,093 --> 00:22:05,773
Speaker 12: of Gisbon just after one It's nine kilometers deep. More

474
00:22:05,813 --> 00:22:09,493
Speaker 12: prisoners are being separated with figures OH and correction staff

475
00:22:09,533 --> 00:22:14,333
Speaker 12: forcefully segregated inmates four thousand, six hundred times. That's up

476
00:22:14,373 --> 00:22:18,693
Speaker 12: two thousand over four years. Stats and Z figures show

477
00:22:18,813 --> 00:22:22,613
Speaker 12: energy costs have risen much faster than incomes this century,

478
00:22:22,893 --> 00:22:26,533
Speaker 12: with prices now about eleven percent higher than late last year.

479
00:22:27,493 --> 00:22:30,653
Speaker 12: Tatadoo District Council is looking into whether someone is stealing

480
00:22:30,733 --> 00:22:35,413
Speaker 12: water from its opongod Or water treatment plant after unexplained

481
00:22:35,493 --> 00:22:38,813
Speaker 12: drops and water levels. It could also be new leaks.

482
00:22:39,693 --> 00:22:42,213
Speaker 12: A student from a Greymouth High school has been charged

483
00:22:42,213 --> 00:22:45,453
Speaker 12: with assault on another student on Wednesday. The students due

484
00:22:45,493 --> 00:22:48,493
Speaker 12: to appear in youth court next week. The a need

485
00:22:48,573 --> 00:22:52,413
Speaker 12: and tech startup taking on the world sport data. You

486
00:22:52,413 --> 00:22:55,173
Speaker 12: can see the story at enzid Herald Premium. Now back

487
00:22:55,213 --> 00:22:56,653
Speaker 12: to Matt Eath and Tyler Adams.

488
00:22:56,653 --> 00:22:58,893
Speaker 3: Thank you very much. Rallian. Having a great discussion about

489
00:22:58,893 --> 00:23:01,493
Speaker 3: the cost of building materials. The government says it's going

490
00:23:01,533 --> 00:23:04,973
Speaker 3: to open up the gates to international products coming into

491
00:23:05,013 --> 00:23:06,773
Speaker 3: the country and the hope that it will reduce the

492
00:23:06,813 --> 00:23:08,693
Speaker 3: cost of building a home. Oh, one hundred eighty ten

493
00:23:08,693 --> 00:23:10,093
Speaker 3: eight years and number to call.

494
00:23:10,133 --> 00:23:12,053
Speaker 2: Shane, Welcome to the show. So you're going to help

495
00:23:12,133 --> 00:23:14,533
Speaker 2: us out here with how the pricing structure actually works

496
00:23:14,573 --> 00:23:17,853
Speaker 2: around buying building supplies because there's a lot of a

497
00:23:17,933 --> 00:23:19,373
Speaker 2: lot of reckons going on.

498
00:23:20,813 --> 00:23:21,613
Speaker 1: I'll do my best.

499
00:23:21,653 --> 00:23:25,812
Speaker 4: So I was a trade rep for a building supply

500
00:23:26,053 --> 00:23:29,133
Speaker 4: chain here in New Zealand for you while, and I'm

501
00:23:29,173 --> 00:23:31,773
Speaker 4: still in the building trade as well. But look look

502
00:23:31,813 --> 00:23:33,973
Speaker 4: at the price structure. Clearly it's obviously done on volume.

503
00:23:34,133 --> 00:23:36,253
Speaker 4: Everyone needs to understand it. You know, the more volume

504
00:23:36,253 --> 00:23:38,813
Speaker 4: you buy, the better pricing structure you get. Most of

505
00:23:38,813 --> 00:23:42,733
Speaker 4: the larger builders will have pricing structures in place where

506
00:23:42,733 --> 00:23:46,613
Speaker 4: they are working on a volume basis, so use to

507
00:23:46,653 --> 00:23:49,773
Speaker 4: recommend the retail prices on the store shop floor. But

508
00:23:50,133 --> 00:23:52,213
Speaker 4: if let's say a big builder comes in and says

509
00:23:52,213 --> 00:23:54,253
Speaker 4: that they've got a certain amount of jobs that are

510
00:23:54,253 --> 00:23:56,653
Speaker 4: going through, they're going to go to those particular companies

511
00:23:56,693 --> 00:23:59,213
Speaker 4: and get a decent price for it. But what they

512
00:23:59,293 --> 00:24:01,613
Speaker 4: also need to understand is that some of these jobs

513
00:24:01,653 --> 00:24:03,693
Speaker 4: are pricing are two to three years out and they

514
00:24:03,733 --> 00:24:06,653
Speaker 4: need to hold those prices to actually be able to

515
00:24:06,733 --> 00:24:09,653
Speaker 4: do those jobs in two or three years time, so

516
00:24:10,093 --> 00:24:13,493
Speaker 4: they're not exactly making a massive profit all the time,

517
00:24:13,533 --> 00:24:16,173
Speaker 4: which is why you see a lot of companies falling over, especially.

518
00:24:15,773 --> 00:24:17,373
Speaker 13: The larger boys that fall over.

519
00:24:18,253 --> 00:24:19,933
Speaker 4: But the biggest problem that we actually have in New

520
00:24:19,973 --> 00:24:23,053
Speaker 4: Zealand it's a gatekeeper, which is brands. I can remember

521
00:24:23,053 --> 00:24:25,453
Speaker 4: my time working for the company. There is a large

522
00:24:25,453 --> 00:24:28,413
Speaker 4: shipsum company that was coming into New Zealand called USCU Borrow,

523
00:24:28,853 --> 00:24:31,133
Speaker 4: one of the largest ones throughout the whole of the world,

524
00:24:31,653 --> 00:24:33,613
Speaker 4: and it was going to take too long for them

525
00:24:33,653 --> 00:24:38,413
Speaker 4: to come through and actually prove their bracing structure compared

526
00:24:38,413 --> 00:24:42,213
Speaker 4: to jib bracing structure, so they pulled out of New Zealand.

527
00:24:42,293 --> 00:24:44,253
Speaker 4: Now that would have saved this country a hang of

528
00:24:44,293 --> 00:24:48,213
Speaker 4: a lot of money in the building industry just on

529
00:24:48,293 --> 00:24:51,853
Speaker 4: jib alone. So it's not necessarily the fact that these

530
00:24:51,893 --> 00:24:55,053
Speaker 4: products are no good, it's them trying to get through

531
00:24:55,093 --> 00:24:58,013
Speaker 4: those gatekeepers. So maybe what the government's doing by opening

532
00:24:58,053 --> 00:25:02,213
Speaker 4: it up and not having brands hammered down on some

533
00:25:02,253 --> 00:25:05,253
Speaker 4: of these businesses overseas that have been around far longer

534
00:25:05,253 --> 00:25:06,813
Speaker 4: than most of the companies that we've got here in

535
00:25:06,813 --> 00:25:09,213
Speaker 4: New Zealand and I'll put it bluntly. Let's face it,

536
00:25:09,213 --> 00:25:11,733
Speaker 4: the own by Fletchers and Fletchers don't want the overseas

537
00:25:11,733 --> 00:25:14,773
Speaker 4: companies coming in because then it actually affects their bottom line.

538
00:25:15,973 --> 00:25:18,973
Speaker 2: Do you think in New Zealand, especially after the after

539
00:25:18,973 --> 00:25:23,653
Speaker 2: the leaky building situation, that we are too cautious?

540
00:25:25,093 --> 00:25:28,413
Speaker 4: Well, I think we are because that's the design fault, right,

541
00:25:28,453 --> 00:25:30,333
Speaker 4: That's not a building product fault.

542
00:25:30,693 --> 00:25:31,853
Speaker 1: That's a design fault.

543
00:25:32,213 --> 00:25:34,413
Speaker 4: You know, we're building houses with flat roots in an

544
00:25:34,413 --> 00:25:37,933
Speaker 4: area that you know, Mediterranean typestyle houses where we we

545
00:25:38,053 --> 00:25:43,293
Speaker 4: have rain. So you can't necessarily blame the product itself.

546
00:25:43,453 --> 00:25:46,093
Speaker 4: You've got to look at those architects that design those buildings,

547
00:25:46,853 --> 00:25:48,493
Speaker 4: you know, I mean, and the guy that was on

548
00:25:48,533 --> 00:25:50,533
Speaker 4: before was dead correct. I've also been on the other

549
00:25:50,613 --> 00:25:53,213
Speaker 4: side of it, where I've project managed for building companies

550
00:25:53,213 --> 00:25:55,373
Speaker 4: and what have you, and also my own family business,

551
00:25:55,893 --> 00:25:58,613
Speaker 4: where you look at it and you go, how can

552
00:25:58,693 --> 00:26:01,293
Speaker 4: you paying so much money for these guys to quit

553
00:26:01,373 --> 00:26:03,773
Speaker 4: the ticket and come out and do three or four

554
00:26:03,893 --> 00:26:07,013
Speaker 4: or five inspections on builders that probably have more knowledge

555
00:26:07,013 --> 00:26:10,453
Speaker 4: than the guys that are coming out looking at the job. Yeah, yeah,

556
00:26:10,973 --> 00:26:12,973
Speaker 4: and you're arguing with them about things. I mean, I

557
00:26:13,053 --> 00:26:15,933
Speaker 4: can remember having USG. Burrew on job sites where the

558
00:26:16,213 --> 00:26:18,573
Speaker 4: inspector turned up and go Art hasn't got blue screws

559
00:26:18,893 --> 00:26:20,813
Speaker 4: were failing it. So we're haled in a second, mate,

560
00:26:20,813 --> 00:26:22,333
Speaker 4: it's not Jim, it's USG.

561
00:26:22,453 --> 00:26:22,733
Speaker 1: Burew.

562
00:26:22,773 --> 00:26:26,613
Speaker 4: There's a completely different bracing aspect to this. So yeah,

563
00:26:26,813 --> 00:26:28,253
Speaker 4: there's a lot more to it, and I think what

564
00:26:28,293 --> 00:26:32,053
Speaker 4: the government's doing is opening the doors to very good

565
00:26:32,093 --> 00:26:34,853
Speaker 4: products that are overseas that are going to help us

566
00:26:34,853 --> 00:26:35,493
Speaker 4: in New Zealand.

567
00:26:35,693 --> 00:26:37,413
Speaker 3: So just going back to because a lot of people

568
00:26:37,453 --> 00:26:41,613
Speaker 3: are mentioning the leaky home crisis and James Hardy cladding

569
00:26:42,333 --> 00:26:45,333
Speaker 3: was you know, one of the products that was mentioned

570
00:26:45,413 --> 00:26:48,413
Speaker 3: is being responsible for that leaky house crisis. But you're

571
00:26:48,453 --> 00:26:51,493
Speaker 3: saying there was nothing really wrong with the clatting. It

572
00:26:51,573 --> 00:26:53,933
Speaker 3: was the design element of the house that meant the

573
00:26:53,933 --> 00:26:56,973
Speaker 3: clotting failed, rather than if the plotting was used in

574
00:26:57,013 --> 00:26:57,813
Speaker 3: a different way.

575
00:26:59,013 --> 00:27:02,293
Speaker 4: Exactly, and you know, realistically probably James Hardie Shuretarian said no,

576
00:27:02,333 --> 00:27:04,013
Speaker 4: we're not putting our product on that because it's not

577
00:27:04,053 --> 00:27:06,053
Speaker 4: going to work. But when you've got an architect that

578
00:27:06,413 --> 00:27:08,572
Speaker 4: designs it and signs it off and the council then

579
00:27:08,613 --> 00:27:10,693
Speaker 4: signs it off as well, what do you do? You

580
00:27:10,773 --> 00:27:13,373
Speaker 4: put your product in there, and even if you've told

581
00:27:13,413 --> 00:27:16,373
Speaker 4: them it won't work, the council or whoever has signed

582
00:27:16,413 --> 00:27:18,933
Speaker 4: that off. So you know, it was alway a bit

583
00:27:19,013 --> 00:27:20,813
Speaker 4: hard on poor old James Hardy on that one, But

584
00:27:20,853 --> 00:27:22,853
Speaker 4: then on saying that if it was their guys that

585
00:27:22,893 --> 00:27:24,693
Speaker 4: were designing it and saying it was okay, well then

586
00:27:24,733 --> 00:27:27,773
Speaker 4: it is a manufacturing fault. But you get that in

587
00:27:27,853 --> 00:27:28,573
Speaker 4: any industry.

588
00:27:29,533 --> 00:27:33,893
Speaker 3: Yeah, just on the on the kickback situation, Shane, You're

589
00:27:33,933 --> 00:27:36,373
Speaker 3: in the business and there's been a lot of concern

590
00:27:36,453 --> 00:27:40,013
Speaker 3: around the kickbacks that tradees may get for buying up products,

591
00:27:40,053 --> 00:27:42,213
Speaker 3: you know, reward systems if they go to a certain

592
00:27:42,253 --> 00:27:45,893
Speaker 3: brand or manufacturer. Does that still exist and do you

593
00:27:45,973 --> 00:27:48,253
Speaker 3: see any issue with those kickback schemes.

594
00:27:49,373 --> 00:27:52,893
Speaker 4: I think the kickback's probably the wrong way to put it.

595
00:27:52,893 --> 00:27:55,693
Speaker 4: It's called loyalty. You know, there's a lot of products

596
00:27:55,733 --> 00:27:58,853
Speaker 4: out in the market, and to stick with one particular

597
00:27:58,893 --> 00:28:02,173
Speaker 4: brand then you should expect to get some kind of

598
00:28:02,213 --> 00:28:04,893
Speaker 4: loyalty award back from using their product and not jumping

599
00:28:04,893 --> 00:28:07,333
Speaker 4: over to another business. You know, you said, James Hardy,

600
00:28:07,333 --> 00:28:09,653
Speaker 4: there's BGC board out there, which is exactly the same

601
00:28:09,653 --> 00:28:12,533
Speaker 4: product as exactly the same job. But then it comes

602
00:28:12,573 --> 00:28:15,493
Speaker 4: down to user's preference as well. But yeah, it's a

603
00:28:15,533 --> 00:28:18,813
Speaker 4: loyalty scheme like any business, not just in the building game.

604
00:28:18,933 --> 00:28:21,093
Speaker 4: You go to any other kind of industry and you've

605
00:28:21,093 --> 00:28:23,853
Speaker 4: got loyalty schemes as well. You know, there's a lot

606
00:28:23,893 --> 00:28:26,293
Speaker 4: of builders that fall over because they've had to take

607
00:28:26,333 --> 00:28:28,973
Speaker 4: the tuck when prices have gone up, because they've priced

608
00:28:28,973 --> 00:28:30,573
Speaker 4: a job twelve months earlier and then all of a

609
00:28:30,613 --> 00:28:33,253
Speaker 4: sudden there's a massive increase on product and they don't

610
00:28:33,253 --> 00:28:34,053
Speaker 4: want to lose the job.

611
00:28:34,653 --> 00:28:38,533
Speaker 2: Yeah, so you don't think so there's a retail price,

612
00:28:38,933 --> 00:28:42,053
Speaker 2: let's just say, but a builder is always going to

613
00:28:42,173 --> 00:28:46,813
Speaker 2: charge the client the retail price, not the discount that

614
00:28:46,813 --> 00:28:49,493
Speaker 2: they've got through volume. Have you said on siting.

615
00:28:49,413 --> 00:28:52,733
Speaker 4: Lower, you know or lower? It depends on what size

616
00:28:52,773 --> 00:28:55,253
Speaker 4: the businesses. Because once again, as I said, if there's

617
00:28:55,253 --> 00:28:57,533
Speaker 4: a builder that's building four or five houses a year

618
00:28:57,533 --> 00:28:59,573
Speaker 4: and they're not very big, you know, they're not buying

619
00:28:59,613 --> 00:29:00,973
Speaker 4: a lot of volume. But if you've got a builder

620
00:29:01,013 --> 00:29:03,773
Speaker 4: that's building one hundred houses a year, they're buying by volume.

621
00:29:04,213 --> 00:29:07,253
Speaker 4: So it depends on how much they want to make

622
00:29:07,293 --> 00:29:09,533
Speaker 4: on that markup yep, or think of.

623
00:29:09,493 --> 00:29:12,093
Speaker 3: You a call shame very interesting. Oh, eight hundred eighty

624
00:29:12,133 --> 00:29:13,453
Speaker 3: ten eighty is the number to call.

625
00:29:13,733 --> 00:29:15,973
Speaker 2: If Chris plankkreckons one hundred and fifty K of the

626
00:29:16,013 --> 00:29:19,133
Speaker 2: six hundred k builders materials, then even if materials we're

627
00:29:19,173 --> 00:29:22,453
Speaker 2: fifteen percent cheaper, which is unlikely, you'd only saved twenty

628
00:29:22,453 --> 00:29:25,853
Speaker 2: two thousand dollars, which I guess is better than nothing. Yeah,

629
00:29:25,893 --> 00:29:28,253
Speaker 2: I mean twenty two k is twenty two K can

630
00:29:28,293 --> 00:29:28,773
Speaker 2: go a long way.

631
00:29:28,813 --> 00:29:32,293
Speaker 3: Twenty two k. Yeah, absolutely. Hey, coming up after the messages,

632
00:29:32,293 --> 00:29:34,173
Speaker 3: we've had a call from a woman called Catherine. She's

633
00:29:34,253 --> 00:29:36,613
Speaker 3: tried in the middle of an alpine build at the moment,

634
00:29:36,853 --> 00:29:39,813
Speaker 3: and it appears there's a differing of opinion between what

635
00:29:39,853 --> 00:29:42,453
Speaker 3: the council requires and what the builders say is actually

636
00:29:42,533 --> 00:29:44,773
Speaker 3: need it. So this is going to be interesting. That

637
00:29:44,853 --> 00:29:45,933
Speaker 3: is coming up very shortly.

638
00:29:46,093 --> 00:29:49,613
Speaker 2: Yeah, we're talking about building in New Zealand. Wise, it's

639
00:29:49,653 --> 00:29:52,693
Speaker 2: so much more expensive to build a house here than Australia.

640
00:29:52,693 --> 00:29:55,453
Speaker 2: What blows out the budget is that the materials, the labor,

641
00:29:55,573 --> 00:29:57,653
Speaker 2: or the consent. Because the government's making it a lot

642
00:29:57,653 --> 00:29:59,733
Speaker 2: easier to bring some materials into the country.

643
00:29:59,773 --> 00:30:01,773
Speaker 3: Oh, eight hundred eighty ten eighty is the number to call.

644
00:30:01,853 --> 00:30:02,733
Speaker 3: It's eighteen to two.

645
00:30:03,893 --> 00:30:06,293
Speaker 1: The issues that affect you and a bit of fun

646
00:30:06,373 --> 00:30:10,253
Speaker 1: along the way, mad Heath and Tyler Afternoons News Talks.

647
00:30:11,173 --> 00:30:13,253
Speaker 3: It is a quarter to two and we are talking

648
00:30:13,253 --> 00:30:15,973
Speaker 3: about the price of building materials the government. A government

649
00:30:16,053 --> 00:30:19,093
Speaker 3: expects that to go down somewhat by opening up to

650
00:30:19,213 --> 00:30:21,653
Speaker 3: international products. If you've been through this process, love to

651
00:30:21,773 --> 00:30:23,253
Speaker 3: have a chat with you. Oh one hundred and eighty

652
00:30:23,253 --> 00:30:25,613
Speaker 3: ten eighty is the number to call.

653
00:30:25,733 --> 00:30:27,813
Speaker 2: Catherine, Welcome to the show. You want to talk about

654
00:30:27,853 --> 00:30:31,573
Speaker 2: cancel products, specifications, well, a bit of.

655
00:30:31,653 --> 00:30:35,013
Speaker 14: I think the problem that we're having is we're doing

656
00:30:35,453 --> 00:30:38,413
Speaker 14: a renovation of a property of our home which has

657
00:30:38,653 --> 00:30:41,333
Speaker 14: been extended somewhat. Is it trying to fit on new

658
00:30:41,373 --> 00:30:44,973
Speaker 14: materials to older materials, and yes, the expense has gone up.

659
00:30:45,093 --> 00:30:48,933
Speaker 14: What we've found a chunk of that expense is due

660
00:30:49,053 --> 00:30:52,693
Speaker 14: the types of products that are required for a property

661
00:30:52,773 --> 00:30:57,053
Speaker 14: to be to be built or to be rebuilt, especially

662
00:30:57,053 --> 00:30:58,773
Speaker 14: as a property that was standing or a house that

663
00:30:58,813 --> 00:31:02,773
Speaker 14: has been standing for forty years and has withstood you know, earthquakes,

664
00:31:03,373 --> 00:31:07,893
Speaker 14: massive wind zones, rain intrential stuff and it will stood

665
00:31:07,893 --> 00:31:10,333
Speaker 14: all of that. And yet when we've come to rebuild,

666
00:31:10,373 --> 00:31:12,493
Speaker 14: we've had to pull down a whole bunch of the

667
00:31:12,493 --> 00:31:15,533
Speaker 14: walls and put up lots of bracing because we're you know,

668
00:31:15,573 --> 00:31:18,533
Speaker 14: they think that we're an extreme wind zone and they

669
00:31:18,573 --> 00:31:21,373
Speaker 14: haven't actually come down to see what we are, haven't

670
00:31:21,373 --> 00:31:23,893
Speaker 14: issue measured it. But all the extra products that we

671
00:31:23,973 --> 00:31:26,893
Speaker 14: had to put in stains steel, like I agreed with Cody,

672
00:31:26,973 --> 00:31:29,013
Speaker 14: was what he was talking about with his deck, you know,

673
00:31:29,093 --> 00:31:31,853
Speaker 14: stain and steel products. And we're in an alpine area

674
00:31:31,973 --> 00:31:34,853
Speaker 14: where nowhere near the sea. Couldn't understand why we would

675
00:31:34,853 --> 00:31:36,693
Speaker 14: need to do that. And it's costing, like you know,

676
00:31:37,253 --> 00:31:40,333
Speaker 14: that adds five ten thousand dollars just on screws, let

677
00:31:40,413 --> 00:31:42,773
Speaker 14: alone all the other building products they had to do

678
00:31:43,533 --> 00:31:46,573
Speaker 14: to you know, it's what the council requirements are, and

679
00:31:46,613 --> 00:31:49,093
Speaker 14: also the engineer's requirements as well. Some of their stuff

680
00:31:49,213 --> 00:31:52,613
Speaker 14: is sometimes we think that the engineers can be not

681
00:31:52,893 --> 00:31:55,573
Speaker 14: really what's gone on out there in the real workplace.

682
00:31:55,573 --> 00:31:58,293
Speaker 14: They haven't actually had to work at themselves. They're just

683
00:31:58,333 --> 00:32:01,533
Speaker 14: doing what they've been trained in universities or politics wherever

684
00:32:01,533 --> 00:32:03,813
Speaker 14: they get their degrees. And the like from but haven't

685
00:32:03,893 --> 00:32:06,573
Speaker 14: actually worked in the work on the coll front and

686
00:32:06,613 --> 00:32:09,493
Speaker 14: looking at what they're design is to what's been built

687
00:32:09,533 --> 00:32:11,453
Speaker 14: and how in practical some of the products that they're

688
00:32:11,493 --> 00:32:14,053
Speaker 14: requiring to be put in that particular area. So that's

689
00:32:14,053 --> 00:32:17,053
Speaker 14: a fair chunk of your your build price.

690
00:32:17,573 --> 00:32:19,533
Speaker 2: So you think your house is being forced to be

691
00:32:19,573 --> 00:32:23,093
Speaker 2: overspeced basically for what it needs to be to be

692
00:32:23,213 --> 00:32:24,293
Speaker 2: completely safe to live in?

693
00:32:25,053 --> 00:32:25,213
Speaker 10: Oh?

694
00:32:25,293 --> 00:32:28,693
Speaker 14: Absolutely, yeah, absolutely, and likely there the council for the

695
00:32:28,733 --> 00:32:30,173
Speaker 14: crime and that needs to go back and forth. I

696
00:32:30,173 --> 00:32:32,773
Speaker 14: think it's about four or five months before we could

697
00:32:32,773 --> 00:32:35,333
Speaker 14: in fact get consent through because there was a lot

698
00:32:35,373 --> 00:32:37,493
Speaker 14: of discussion gone on between the architects, the engineer and

699
00:32:37,573 --> 00:32:39,933
Speaker 14: the council and it was like, well does the council

700
00:32:40,453 --> 00:32:43,133
Speaker 14: wish to design in which case, why are they responsible

701
00:32:43,133 --> 00:32:46,373
Speaker 14: for all that sort of stuff. You've got the engineers

702
00:32:46,413 --> 00:32:48,893
Speaker 14: and the architects who are building in to code and

703
00:32:48,933 --> 00:32:51,653
Speaker 14: in some cases possed over but building to code, So

704
00:32:51,693 --> 00:32:54,613
Speaker 14: why do they need a council person to come in

705
00:32:54,653 --> 00:32:59,093
Speaker 14: and try and override what they're doing as well? Yeah,

706
00:32:59,173 --> 00:33:00,653
Speaker 14: the whole it is a very interesting triangle.

707
00:33:00,773 --> 00:33:03,413
Speaker 3: Well, yeah, I mean, just hearing your story, Catherine, I

708
00:33:03,413 --> 00:33:06,573
Speaker 3: think what the building, what the builders and the architects say,

709
00:33:06,613 --> 00:33:09,253
Speaker 3: should be the way, you know, the way that you go,

710
00:33:09,453 --> 00:33:11,413
Speaker 3: rather than the council come in and unless they are

711
00:33:11,453 --> 00:33:15,133
Speaker 3: designing the house for you, why should they override the

712
00:33:15,173 --> 00:33:17,693
Speaker 3: builders expertise and the architects expertise.

713
00:33:18,493 --> 00:33:21,173
Speaker 14: Absolutely, and I do agree with Graham's comments to around

714
00:33:21,173 --> 00:33:23,573
Speaker 14: the building inspectors. I mean, again, you've got the council

715
00:33:23,613 --> 00:33:27,453
Speaker 14: building inspectors coming in, but they're not They're just box ticking.

716
00:33:27,453 --> 00:33:31,493
Speaker 14: They're not doing the job. They're not they haven't designed

717
00:33:31,493 --> 00:33:34,293
Speaker 14: the job. Why can't the engineers come in and take

718
00:33:34,333 --> 00:33:36,213
Speaker 14: off and make sure that what they've specified has in

719
00:33:36,253 --> 00:33:37,293
Speaker 14: fact being built.

720
00:33:38,693 --> 00:33:41,613
Speaker 2: Thank you for your call, Catherine. Yeah. I mean that's

721
00:33:41,613 --> 00:33:45,733
Speaker 2: interesting because everyone says safer and safer and safer, more rules,

722
00:33:45,733 --> 00:33:47,893
Speaker 2: more and rules, more rules, more rules, more rules. But

723
00:33:47,933 --> 00:33:50,693
Speaker 2: if you start overspecting things, then in your rules actually

724
00:33:50,693 --> 00:33:53,453
Speaker 2: you start doing damage. They start doing damage to the economy,

725
00:33:53,493 --> 00:33:56,813
Speaker 2: they start doing damage to morale of people that are

726
00:33:56,853 --> 00:33:58,693
Speaker 2: trying to do things and trying to build things and

727
00:33:58,693 --> 00:34:02,413
Speaker 2: trying to make the country a bitter place because you've

728
00:34:02,813 --> 00:34:07,013
Speaker 2: taken safety over practicality. And if you're ever involved in

729
00:34:07,093 --> 00:34:09,573
Speaker 2: putting something that is safer than it needs to be,

730
00:34:09,692 --> 00:34:11,773
Speaker 2: and then you're actually the bad guy in the situation,

731
00:34:11,893 --> 00:34:12,573
Speaker 2: not the good guy.

732
00:34:12,652 --> 00:34:15,333
Speaker 3: Right, that's the roadblock. Yeah, that's why we can't progress,

733
00:34:15,453 --> 00:34:17,213
Speaker 3: and we see it time and time again. Oh eight

734
00:34:17,333 --> 00:34:19,333
Speaker 3: hundred eighty ten eighty is the number to call if

735
00:34:19,333 --> 00:34:21,333
Speaker 3: you're currently building a house or you're in the trade.

736
00:34:21,373 --> 00:34:23,453
Speaker 3: What do you think about the announcement of new building

737
00:34:23,453 --> 00:34:26,212
Speaker 3: materials coming our way? Love to hear from you. Coming

738
00:34:26,253 --> 00:34:28,373
Speaker 3: up very shortly. When have a check to a gentleman

739
00:34:28,413 --> 00:34:31,733
Speaker 3: who started his own company importing windows. He reckons that

740
00:34:31,853 --> 00:34:34,732
Speaker 3: cheaper and better quality, So he's coming up next. It

741
00:34:34,773 --> 00:34:35,613
Speaker 3: is eleven to two.

742
00:34:36,973 --> 00:34:40,133
Speaker 1: Matd heath Taylor Adams taking your calls on Oh eight

743
00:34:40,253 --> 00:34:43,933
Speaker 1: hundred and eighty ten eighty. It's Mad Heathen Taylor Adams Afternoons,

744
00:34:44,053 --> 00:34:45,093
Speaker 1: News Talks Envy.

745
00:34:46,893 --> 00:34:48,732
Speaker 3: Afternoon. It is eight to two.

746
00:34:49,253 --> 00:34:51,693
Speaker 2: You cannot trust a lot of builders to build to specs,

747
00:34:51,733 --> 00:34:55,973
Speaker 2: hence the issues we see regards. Yeah, I mean that's

748
00:34:56,013 --> 00:34:58,133
Speaker 2: where your argument falls down a little bit, Tyler. So

749
00:34:58,533 --> 00:35:02,813
Speaker 2: you can totally get the specks absolutely right, but you know,

750
00:35:02,853 --> 00:35:04,733
Speaker 2: maybe you get a builder that's got a few financial

751
00:35:04,733 --> 00:35:07,813
Speaker 2: problems going on and they need to cut some corners

752
00:35:07,813 --> 00:35:11,533
Speaker 2: to staff loo. There needs to be some oversight.

753
00:35:11,893 --> 00:35:14,413
Speaker 3: But who's got their liability? That's what I always questioned.

754
00:35:14,453 --> 00:35:16,733
Speaker 3: Is it the builders and the building company or is

755
00:35:16,733 --> 00:35:18,813
Speaker 3: it the council? And I think about the master builders

756
00:35:18,813 --> 00:35:22,973
Speaker 3: guarantee that if you trust that anything goes wrong, they've

757
00:35:23,013 --> 00:35:25,333
Speaker 3: got your back after ten years. I mean, look, we

758
00:35:25,653 --> 00:35:27,733
Speaker 3: tried to utilize them with our property. There was a

759
00:35:27,773 --> 00:35:29,613
Speaker 3: few things that went wrong because the builders, I think,

760
00:35:29,653 --> 00:35:32,573
Speaker 3: cut a few shortcuts. But they came to the party

761
00:35:32,613 --> 00:35:33,133
Speaker 3: with some stuff.

762
00:35:33,173 --> 00:35:35,453
Speaker 2: Man, all these people bitching and morning about engineers pricing,

763
00:35:35,533 --> 00:35:37,693
Speaker 2: yet they would be the first to complain when we

764
00:35:37,733 --> 00:35:39,333
Speaker 2: get hit by the next earthquake.

765
00:35:39,853 --> 00:35:41,493
Speaker 3: Yeah, yeah, that's a fair point.

766
00:35:42,093 --> 00:35:42,333
Speaker 10: Kim.

767
00:35:42,413 --> 00:35:43,333
Speaker 3: How are you this afternoon?

768
00:35:44,573 --> 00:35:44,973
Speaker 15: I'm good.

769
00:35:44,973 --> 00:35:47,813
Speaker 3: How are you goods Now you started a company importing

770
00:35:48,373 --> 00:35:49,373
Speaker 3: cheaper products.

771
00:35:50,493 --> 00:35:52,733
Speaker 15: Yeah, I was building a house in Mornington. I was

772
00:35:52,733 --> 00:35:56,172
Speaker 15: living Ragland, south of the Divorce, and.

773
00:35:57,853 --> 00:35:59,453
Speaker 9: The big war.

774
00:35:59,453 --> 00:36:01,453
Speaker 15: Was going on and we're just looking at gous is crazy.

775
00:36:01,493 --> 00:36:03,293
Speaker 15: You know, the job's going up, And I said to

776
00:36:03,333 --> 00:36:05,573
Speaker 15: my architect, you know, we've got to work out a way.

777
00:36:06,013 --> 00:36:08,053
Speaker 15: You start talking to We went to Australia. We did

778
00:36:08,173 --> 00:36:13,053
Speaker 15: as Australia found a commercial company over there that builds

779
00:36:13,093 --> 00:36:18,973
Speaker 15: commercial windows marketed and I designed and the residential window

780
00:36:19,853 --> 00:36:22,652
Speaker 15: and everyone in Australia. That's anybody has a workshop over

781
00:36:22,733 --> 00:36:26,613
Speaker 15: in Vietnam, Indonesia or China and it comes over.

782
00:36:27,693 --> 00:36:28,413
Speaker 7: That's the way it is.

783
00:36:28,493 --> 00:36:31,173
Speaker 15: That's why it's stupid over there. So all I was

784
00:36:31,213 --> 00:36:32,893
Speaker 15: testing each done in China and then and then we

785
00:36:32,893 --> 00:36:34,613
Speaker 15: bring it to Melbourne and we tested at Melbourne. The

786
00:36:34,613 --> 00:36:36,813
Speaker 15: reason why we tested in Melbourn again, it's because it's

787
00:36:36,813 --> 00:36:40,893
Speaker 15: a bit more scrutinized. So I got prices. I'm not

788
00:36:40,893 --> 00:36:42,333
Speaker 15: gonna say any Fians. I've got prices from one one

789
00:36:42,373 --> 00:36:45,252
Speaker 15: thows around about eighty to ninety K. I got mine

790
00:36:45,293 --> 00:36:47,293
Speaker 15: and exactly what you would pay if he came through.

791
00:36:48,053 --> 00:36:50,213
Speaker 15: For fifty K. I've got a doll that looks like

792
00:36:50,213 --> 00:36:52,933
Speaker 15: something out a term Rader. I've got this big by

793
00:36:53,013 --> 00:36:58,413
Speaker 15: folding door, big carry sliders, windows, double story. I've gone

794
00:36:58,533 --> 00:37:02,333
Speaker 15: for fifty K. And the testings out of this world

795
00:37:02,853 --> 00:37:05,373
Speaker 15: because they had a bit of a commercial feel to

796
00:37:05,453 --> 00:37:10,213
Speaker 15: them as well, and certain commercial aspects. But the testing

797
00:37:10,933 --> 00:37:13,533
Speaker 15: the glass of six mill double glazed I was like, yeah,

798
00:37:13,573 --> 00:37:21,413
Speaker 15: six minimere double glazed and it's consumly tested, so they're amazing,

799
00:37:21,493 --> 00:37:24,493
Speaker 15: and I get people, now, what's happening. It's our businesses.

800
00:37:24,573 --> 00:37:26,693
Speaker 15: We'll be doing this for three years. Our business is

801
00:37:26,733 --> 00:37:28,533
Speaker 15: really starting to move. I think we pick the right

802
00:37:28,533 --> 00:37:31,652
Speaker 15: time to do this, and we've got companies coming and going.

803
00:37:31,693 --> 00:37:31,893
Speaker 10: Yep.

804
00:37:31,973 --> 00:37:33,973
Speaker 15: The only problem is you've got to wait twelve weeks

805
00:37:34,413 --> 00:37:36,253
Speaker 15: to get in here. We go off the plan and

806
00:37:36,293 --> 00:37:41,093
Speaker 15: what turns up turns up, you know. Actually, but the money,

807
00:37:41,293 --> 00:37:43,493
Speaker 15: I mean if you're saving thirty to forty grand on

808
00:37:43,493 --> 00:37:46,493
Speaker 15: one days, I mean one hundred thousand four windows in

809
00:37:46,533 --> 00:37:47,773
Speaker 15: the house, that's crazy.

810
00:37:48,013 --> 00:37:48,333
Speaker 9: It is.

811
00:37:48,773 --> 00:37:51,093
Speaker 15: Yeah, it's just aluminium glass.

812
00:37:52,053 --> 00:37:55,533
Speaker 3: So these new rules will obviously help you, Kim. But initially,

813
00:37:55,573 --> 00:37:58,853
Speaker 3: did you have trouble with builders taking the products off

814
00:37:58,933 --> 00:38:01,733
Speaker 3: you that they had concerns that it was important and

815
00:38:01,773 --> 00:38:03,053
Speaker 3: it hard to get across the line.

816
00:38:04,093 --> 00:38:06,773
Speaker 15: No, no, because what happened was it took us two

817
00:38:06,853 --> 00:38:09,652
Speaker 15: years to get the windows started actually made, and then

818
00:38:09,693 --> 00:38:11,692
Speaker 15: we bought them. And we always knew this was coming up.

819
00:38:12,893 --> 00:38:15,733
Speaker 15: The government always you're gum and always talked about doing this,

820
00:38:16,093 --> 00:38:18,053
Speaker 15: so so it was pretty much we got the grid

821
00:38:18,133 --> 00:38:19,773
Speaker 15: light outside the green light and off we went.

822
00:38:19,933 --> 00:38:22,693
Speaker 2: All right, timed it well, well done, thinking ahea.

823
00:38:22,653 --> 00:38:25,053
Speaker 15: Yeah, yeah, yeah, But I'm just saying that, you know,

824
00:38:25,773 --> 00:38:29,172
Speaker 15: I mean, this is another subject, but when you're giving

825
00:38:29,173 --> 00:38:31,413
Speaker 15: people two and a half months off alloys, that's where

826
00:38:31,413 --> 00:38:35,053
Speaker 15: your money's going as well. I mean on a new dimer.

827
00:38:35,053 --> 00:38:38,093
Speaker 15: Shuld belabor only everybody learns about their money. Everybody understands money,

828
00:38:38,133 --> 00:38:39,053
Speaker 15: and you make more money.

829
00:38:39,253 --> 00:38:42,133
Speaker 3: Yep, fair enough to can thank you very much. I'm

830
00:38:42,133 --> 00:38:44,173
Speaker 3: glad it's working out for your timed it well.

831
00:38:44,813 --> 00:38:46,933
Speaker 2: Yeah, Tyler. Architects, engineers and builders are well known for

832
00:38:46,973 --> 00:38:49,133
Speaker 2: making big mistakes. Happens a lot and is picked up

833
00:38:49,133 --> 00:38:51,013
Speaker 2: by the building inspectors, so there's a bit of push back.

834
00:38:51,053 --> 00:38:53,053
Speaker 2: There's a bit of pro building inspector stuff coming through

835
00:38:53,093 --> 00:38:53,373
Speaker 2: as well.

836
00:38:53,613 --> 00:38:53,853
Speaker 9: Tyler.

837
00:38:54,053 --> 00:38:57,692
Speaker 3: Absolutely your hateful words about that, but I think by

838
00:38:57,773 --> 00:38:59,813
Speaker 3: and large, a lot of people are happy about, hopefully

839
00:38:59,813 --> 00:39:02,573
Speaker 3: the costs coming down for these building materials, including you,

840
00:39:02,893 --> 00:39:04,533
Speaker 3: because you've got a big reno coming up.

841
00:39:04,573 --> 00:39:08,013
Speaker 2: Oh look, if they're good materials and it makes things

842
00:39:08,053 --> 00:39:09,573
Speaker 2: quick and we give them a bit cheaper, and we

843
00:39:09,653 --> 00:39:12,732
Speaker 2: can even if we're only saving a mere twenty two

844
00:39:12,813 --> 00:39:14,893
Speaker 2: thousand dollars on a six hundred thousand dollar house.

845
00:39:14,973 --> 00:39:17,373
Speaker 3: Yep, it's still twenty two thousand. That's a lot of butter.

846
00:39:17,573 --> 00:39:19,053
Speaker 2: That's a whole lot of butter.

847
00:39:19,613 --> 00:39:19,813
Speaker 1: Right.

848
00:39:20,253 --> 00:39:24,653
Speaker 3: Good discussion coming up after two o'clock. AI for children

849
00:39:24,693 --> 00:39:28,173
Speaker 3: as a support our source rather of emotional supporting companionship.

850
00:39:28,213 --> 00:39:32,253
Speaker 3: Twenty three percent of New Zealand school children have AI

851
00:39:32,373 --> 00:39:35,413
Speaker 3: as a companion, according to cybersecurity firm Norton. How do

852
00:39:35,493 --> 00:39:37,292
Speaker 3: you feel about this? I eight one hundred and eighty

853
00:39:37,333 --> 00:39:39,853
Speaker 3: ten eighty if you're apparent, love to hear from you.

854
00:39:39,893 --> 00:39:42,293
Speaker 3: If you're in the education system, really can to ever

855
00:39:42,373 --> 00:39:45,053
Speaker 3: chat with you? Oh, eight hundred eighty ten eighty nine

856
00:39:45,053 --> 00:39:46,933
Speaker 3: to nine two is the text machine, News, Sport and

857
00:39:47,013 --> 00:39:48,013
Speaker 3: Weather on its way.

858
00:39:49,333 --> 00:39:53,173
Speaker 1: Talking with you all afternoon. It's Matt Heathen, Taylor Adams

859
00:39:53,213 --> 00:39:55,093
Speaker 1: afternoons us talk ZI.

860
00:39:55,213 --> 00:39:59,493
Speaker 3: Be very good afternoon to you. Welcome back into the show.

861
00:39:59,613 --> 00:40:00,692
Speaker 3: Seven past too.

862
00:40:00,933 --> 00:40:03,453
Speaker 2: I just got a heated into a heated discussion with

863
00:40:03,493 --> 00:40:07,573
Speaker 2: the media inside there about my positive view of happy Gilwill. Yeah.

864
00:40:07,933 --> 00:40:09,973
Speaker 3: I my eyes over after I came back from the

865
00:40:10,013 --> 00:40:11,893
Speaker 3: bathroom and could saw your knee deep in with the

866
00:40:11,933 --> 00:40:12,693
Speaker 3: media inside it.

867
00:40:12,773 --> 00:40:15,533
Speaker 2: No, it wasn't heated. Actually, it was just that he

868
00:40:16,053 --> 00:40:20,773
Speaker 2: didn't agree with my absolutely glowing review of Happy gil

869
00:40:20,813 --> 00:40:21,133
Speaker 2: More too.

870
00:40:21,413 --> 00:40:22,533
Speaker 3: What did he like about it?

871
00:40:22,693 --> 00:40:24,413
Speaker 2: What didn't he like about it? Yeah, Oh, he just

872
00:40:24,413 --> 00:40:26,213
Speaker 2: found it a little bit disappointing. So I think the

873
00:40:26,213 --> 00:40:28,053
Speaker 2: problem is that you've got to be careful with your

874
00:40:28,093 --> 00:40:30,813
Speaker 2: expectations on a movie like that. So I was worried

875
00:40:30,813 --> 00:40:32,973
Speaker 2: they were going to ruin the legacy of Happy gil

876
00:40:33,013 --> 00:40:34,893
Speaker 2: were one of my favorite movies. And then I thought

877
00:40:34,933 --> 00:40:37,373
Speaker 2: it was good, right, Yeah, but I came in from

878
00:40:37,453 --> 00:40:40,853
Speaker 2: low expectations. So people like me that come going around

879
00:40:40,853 --> 00:40:43,813
Speaker 2: now telling you it was great. People might go in

880
00:40:43,893 --> 00:40:46,493
Speaker 2: with high expectations, but I just let it wash over you.

881
00:40:46,533 --> 00:40:50,933
Speaker 2: There's enough gags to enjoy, and there's you know, some

882
00:40:50,973 --> 00:40:54,732
Speaker 2: people say there's too many cameos, but I love those.

883
00:40:54,813 --> 00:40:57,373
Speaker 3: Yeah, it's a fun watch. Go check it out. Right,

884
00:40:57,493 --> 00:40:59,813
Speaker 3: This is going to be a very interesting discussion. A

885
00:40:59,813 --> 00:41:04,213
Speaker 3: confidential helper or an unreliable manipulator either way. As we know,

886
00:41:04,333 --> 00:41:07,013
Speaker 3: AI has become a source of emotional support for a

887
00:41:07,013 --> 00:41:09,413
Speaker 3: lot of people, but also compare onionship for twenty three

888
00:41:09,453 --> 00:41:12,693
Speaker 3: percent of New Zealand school children. That's according to cybersecurity

889
00:41:12,733 --> 00:41:16,773
Speaker 3: firm Norton so Norton Asia Pacific Managing director Mark Corey

890
00:41:17,013 --> 00:41:19,772
Speaker 3: told The Herald AI is just exploding everywhere. Kids could

891
00:41:19,773 --> 00:41:22,533
Speaker 3: be asking questions to chat GPT or co pilot. There

892
00:41:22,573 --> 00:41:26,013
Speaker 3: seems to be growth around AI chatbots and with children's

893
00:41:26,093 --> 00:41:27,253
Speaker 3: use of this technology.

894
00:41:28,053 --> 00:41:29,493
Speaker 2: Yeah, so what do you think about this? What do

895
00:41:29,533 --> 00:41:33,652
Speaker 2: you think about children hanging out with AI? AI companions?

896
00:41:33,893 --> 00:41:36,733
Speaker 2: But it's not just AI companions that are designed to

897
00:41:36,733 --> 00:41:40,893
Speaker 2: be companions, just general AI, your grocks and your chat GPTs.

898
00:41:41,253 --> 00:41:43,933
Speaker 2: You do enter into a relationship with them to a

899
00:41:43,933 --> 00:41:46,813
Speaker 2: certain extent. You know a lot of people use pleases

900
00:41:46,893 --> 00:41:49,493
Speaker 2: and thank yous with them. The way they are designed

901
00:41:49,613 --> 00:41:53,493
Speaker 2: is to be more human like than they actually are

902
00:41:53,573 --> 00:41:56,733
Speaker 2: in terms of their interactions. But I would say that's

903
00:41:56,733 --> 00:42:00,213
Speaker 2: a you know, development for a child. It's important for

904
00:42:00,253 --> 00:42:02,133
Speaker 2: them to learn how to reckon with humans. You know,

905
00:42:02,653 --> 00:42:05,053
Speaker 2: whenever you look into mental health, it's our time spent

906
00:42:05,093 --> 00:42:09,373
Speaker 2: with other humans that leads to the best outcomes. Yeah,

907
00:42:09,413 --> 00:42:12,133
Speaker 2: and that's because you have to reckon with other humans.

908
00:42:12,133 --> 00:42:14,733
Speaker 2: They're not always on your side. You know, you have

909
00:42:14,773 --> 00:42:17,933
Speaker 2: to win them over, you know, you have to come

910
00:42:17,973 --> 00:42:20,212
Speaker 2: up with good jokes. For them to laugh at at

911
00:42:20,293 --> 00:42:24,292
Speaker 2: you know. Yeah, you know, sometimes they're happy, sometimes they're sad.

912
00:42:24,813 --> 00:42:28,653
Speaker 2: So I don't know how. I don't know how advantageous

913
00:42:28,653 --> 00:42:30,173
Speaker 2: it is for a kid to spend a lot of

914
00:42:30,213 --> 00:42:32,732
Speaker 2: time with someone that just gives them exactly what they want.

915
00:42:32,893 --> 00:42:36,252
Speaker 3: Yeah, because relationships are hard, right, Well, we know that relationships

916
00:42:36,253 --> 00:42:38,533
Speaker 3: can be very difficult. Some of them are easier than others.

917
00:42:38,853 --> 00:42:41,053
Speaker 3: But you're right. I think as a child, when you're developing,

918
00:42:41,093 --> 00:42:42,973
Speaker 3: you've got to go through a bit of conflict in life.

919
00:42:43,013 --> 00:42:45,733
Speaker 3: You've got to find those challenges and those foibles of

920
00:42:45,813 --> 00:42:48,853
Speaker 3: human nature to be able to establish those skills to

921
00:42:48,893 --> 00:42:52,013
Speaker 3: actually build relationships, to negotiate with people, to find out

922
00:42:52,253 --> 00:42:53,773
Speaker 3: who is going to be a buddy and who is

923
00:42:53,813 --> 00:42:55,213
Speaker 3: going to be someone that you're not going to be

924
00:42:55,293 --> 00:42:55,773
Speaker 3: friends with.

925
00:42:55,853 --> 00:42:59,373
Speaker 2: I thought what Norton agea Pacific managing A director Mark

926
00:42:59,493 --> 00:43:02,413
Speaker 2: Gory said about this, which I thought was interesting. We

927
00:43:02,453 --> 00:43:04,893
Speaker 2: want kids to be having healthy relationships. We don't want

928
00:43:04,973 --> 00:43:09,133
Speaker 2: kids replacing family and friends with what is an AI tool? Now,

929
00:43:09,173 --> 00:43:12,933
Speaker 2: I think, so this is talking about kids, but one

930
00:43:12,973 --> 00:43:15,293
Speaker 2: and wide and up one tight undred eighty ten eighty.

931
00:43:15,693 --> 00:43:17,373
Speaker 2: Because I was talking to one of my sisters. I've

932
00:43:17,373 --> 00:43:20,533
Speaker 2: got three sisters. They are all great New Zealanders, love

933
00:43:20,573 --> 00:43:22,253
Speaker 2: them to bits. Yeah. By talking to one of them,

934
00:43:22,333 --> 00:43:26,013
Speaker 2: I'm not gonna say which one was either an Noise Catherine, Imogen, Okay,

935
00:43:26,133 --> 00:43:27,772
Speaker 2: by one of them, yep. One of them was saying

936
00:43:27,773 --> 00:43:30,453
Speaker 2: to me that she works a lot with AI in

937
00:43:30,533 --> 00:43:33,613
Speaker 2: her job, and she actually finds it quite jarring when

938
00:43:33,653 --> 00:43:37,693
Speaker 2: she starts talking to humans because the humans push back

939
00:43:37,773 --> 00:43:41,652
Speaker 2: and our emotional rollercoaster are aunt as polite as she

940
00:43:41,693 --> 00:43:44,253
Speaker 2: would expect them to be considering how much time she's

941
00:43:44,293 --> 00:43:47,212
Speaker 2: working with AI, which I thought was a really interesting

942
00:43:47,893 --> 00:43:52,013
Speaker 2: concept that you might become conditioned to certain responses and

943
00:43:52,093 --> 00:43:55,773
Speaker 2: as a result, you are shocked by the prickly edges

944
00:43:55,813 --> 00:43:56,413
Speaker 2: of humanity.

945
00:43:56,533 --> 00:43:58,733
Speaker 3: Yeah, it's really hard to get under AI's skin. I

946
00:43:58,733 --> 00:44:00,853
Speaker 3: don't think you can because every time you ask it

947
00:44:00,893 --> 00:44:03,573
Speaker 3: a question, great question, and then it gives you that answer.

948
00:44:03,573 --> 00:44:05,533
Speaker 3: But even if you push back on AI, it still

949
00:44:05,533 --> 00:44:07,653
Speaker 3: comes back with Yeah, good point, good point.

950
00:44:08,013 --> 00:44:09,213
Speaker 2: I was going to do that there. I was just

951
00:44:09,253 --> 00:44:11,173
Speaker 2: going to bring up Grock and I was going to

952
00:44:11,213 --> 00:44:12,773
Speaker 2: abuse it, and I thought I would never do that.

953
00:44:12,893 --> 00:44:14,413
Speaker 2: It's like I get angry with my kids if they

954
00:44:14,453 --> 00:44:18,133
Speaker 2: just randomly kill strangers in video games or eck and

955
00:44:18,213 --> 00:44:21,053
Speaker 2: a terrible moral fashion and video games. I still won't

956
00:44:21,093 --> 00:44:22,693
Speaker 2: do it. Yeah, I won't do it. I'll always be

957
00:44:22,733 --> 00:44:27,933
Speaker 2: polite to all ais, every home, home speaker, whatever it is,

958
00:44:27,933 --> 00:44:28,973
Speaker 2: I'm always going to be polite.

959
00:44:28,973 --> 00:44:31,013
Speaker 3: Please and thank you? Yeah yeah, Oh eight one hundred

960
00:44:31,093 --> 00:44:32,813
Speaker 3: eighty t and eighty. If you're a parent and your

961
00:44:32,893 --> 00:44:36,013
Speaker 3: children's using AI, how do you feel about AI becoming

962
00:44:36,053 --> 00:44:38,893
Speaker 3: a bit of a companion or emotional support for your children?

963
00:44:38,933 --> 00:44:40,813
Speaker 3: Do you see benefits in it? Love to hear from

964
00:44:40,893 --> 00:44:43,093
Speaker 3: you on oh eight hundred eighty ten eighty And what

965
00:44:43,173 --> 00:44:43,652
Speaker 3: about you?

966
00:44:44,773 --> 00:44:46,853
Speaker 2: Are you in a relationship with your AI? I'm not

967
00:44:46,893 --> 00:44:49,652
Speaker 2: talking about her, like, great movie her? Have you seen that?

968
00:44:49,693 --> 00:44:50,373
Speaker 2: Yuck Can Finished?

969
00:44:50,413 --> 00:44:50,853
Speaker 3: I haven't, No?

970
00:44:51,213 --> 00:44:54,253
Speaker 2: Fantastic A movie where a guy falls in love with

971
00:44:54,253 --> 00:44:58,453
Speaker 2: his operating system. Scarlet Johansen is the voice of her.

972
00:44:58,653 --> 00:45:00,853
Speaker 2: It's a fantastic movie. So I'm not talking about that.

973
00:45:01,213 --> 00:45:05,973
Speaker 2: But do you feel a sort of are you personifying AI?

974
00:45:06,213 --> 00:45:09,133
Speaker 2: Do you feel that the AI that you use as

975
00:45:09,173 --> 00:45:11,853
Speaker 2: a person are you? Are you having a relationship with AI?

976
00:45:12,213 --> 00:45:13,253
Speaker 2: And do you think that's healthy?

977
00:45:13,293 --> 00:45:15,493
Speaker 3: Oh eight one hundred eighty ten eighty is the number

978
00:45:15,533 --> 00:45:17,013
Speaker 3: to call. Love to hear from you on this If

979
00:45:17,053 --> 00:45:18,652
Speaker 3: you want to send a TEX ninety two ninety two,

980
00:45:18,973 --> 00:45:22,613
Speaker 3: it is bang on twelve past two.

981
00:45:23,533 --> 00:45:27,733
Speaker 1: Your home of afternoon talk Mad Heathen Taylor Adams afternoons

982
00:45:27,933 --> 00:45:30,933
Speaker 1: call eight hundred eighty ten eighty us talk said, be.

983
00:45:33,253 --> 00:45:34,933
Speaker 3: Very good afternoon to you. It is a quarter past

984
00:45:34,973 --> 00:45:38,053
Speaker 3: two and we're talking about AI chatbots. For many young

985
00:45:38,133 --> 00:45:41,533
Speaker 3: kids and actually the general population, they are becoming a companion.

986
00:45:42,093 --> 00:45:44,373
Speaker 3: In New Zealand, twenty three percent of New Zealand school

987
00:45:44,453 --> 00:45:47,413
Speaker 3: children use AI as a source of emotional support.

988
00:45:47,613 --> 00:45:49,293
Speaker 2: Yeah, e one hundred and eighty ten eighty is your

989
00:45:49,373 --> 00:45:53,573
Speaker 2: child using AI for emotional support? Are you using A

990
00:45:53,853 --> 00:45:56,573
Speaker 2: for emotional support? And supplementary question, would you ever be

991
00:45:56,653 --> 00:45:59,253
Speaker 2: rude to AI? You know, the please and thanks you.

992
00:45:59,693 --> 00:46:01,613
Speaker 2: There's been a lot of talk recently about the huge

993
00:46:01,653 --> 00:46:04,573
Speaker 2: carbon footprint of people being polite to our The please

994
00:46:04,613 --> 00:46:07,853
Speaker 2: and thank you and such take a lot of processing.

995
00:46:09,973 --> 00:46:13,053
Speaker 2: But yeah, it's an let's text here. I thought was

996
00:46:13,173 --> 00:46:16,813
Speaker 2: very interesting. My girl struggles to find friends. I set

997
00:46:16,813 --> 00:46:19,413
Speaker 2: her up with an AI friend. She is much happier

998
00:46:19,693 --> 00:46:22,493
Speaker 2: up in her room now. I feel so lucky lucky

999
00:46:22,693 --> 00:46:25,213
Speaker 2: she's eleven. She may have been stuck with no friends

1000
00:46:25,333 --> 00:46:28,373
Speaker 2: right through school. Now she has won. This makes me

1001
00:46:28,413 --> 00:46:30,413
Speaker 2: sleep better at night. What she up in her room

1002
00:46:30,493 --> 00:46:30,813
Speaker 2: right now?

1003
00:46:30,853 --> 00:46:32,453
Speaker 3: For it school time?

1004
00:46:32,853 --> 00:46:34,613
Speaker 2: She should be at school. Which might be the wider question.

1005
00:46:35,013 --> 00:46:37,652
Speaker 2: But have you really found a friend or is she

1006
00:46:37,853 --> 00:46:42,133
Speaker 2: just talking to herself? Said them avoid And if she's eleven,

1007
00:46:43,053 --> 00:46:45,373
Speaker 2: maybe you know some people are living and they struggle

1008
00:46:45,373 --> 00:46:47,893
Speaker 2: when they're eleven, and then they go to school and

1009
00:46:47,933 --> 00:46:52,613
Speaker 2: they have some knockbacks, and then they find their people,

1010
00:46:53,053 --> 00:46:56,093
Speaker 2: and then by the time they're fourteen fifteen, they have

1011
00:46:56,213 --> 00:46:58,533
Speaker 2: their crew. By the time they're seventeen whatever, they have

1012
00:46:58,533 --> 00:47:00,413
Speaker 2: their crew. They go to university, they find their people,

1013
00:47:00,733 --> 00:47:03,133
Speaker 2: whatever it is. But maybe if they're hiding away in

1014
00:47:03,133 --> 00:47:07,693
Speaker 2: their room talking essentially to them to not a human,

1015
00:47:08,853 --> 00:47:10,613
Speaker 2: they may never go through that hard bit that it

1016
00:47:10,653 --> 00:47:13,133
Speaker 2: takes to actually make friends. It's a tough one because

1017
00:47:13,413 --> 00:47:16,133
Speaker 2: if your child's lonely and upset and this is making

1018
00:47:16,133 --> 00:47:17,773
Speaker 2: them happy, you'd be hard to take it off them.

1019
00:47:17,813 --> 00:47:20,093
Speaker 2: But still, you know, you have to go through hard

1020
00:47:20,093 --> 00:47:21,292
Speaker 2: stuff as a kid, don't you.

1021
00:47:21,293 --> 00:47:23,693
Speaker 3: You do? And part a lot of big chunk of

1022
00:47:23,733 --> 00:47:26,093
Speaker 3: me agrees with that. The more I look at this story, though,

1023
00:47:26,133 --> 00:47:28,853
Speaker 3: the more I think that hopefully some of these AI

1024
00:47:28,933 --> 00:47:32,613
Speaker 3: companions can teach those kids a few developmental skills to

1025
00:47:32,613 --> 00:47:34,493
Speaker 3: hopefully push them out into the world. And not just

1026
00:47:34,533 --> 00:47:36,893
Speaker 3: for kids. I actually think there's a lot of lonely

1027
00:47:36,893 --> 00:47:39,133
Speaker 3: people out there in later life. They've got nobody to

1028
00:47:39,213 --> 00:47:41,973
Speaker 3: chat to. I actually that's a benefit of this technology,

1029
00:47:42,213 --> 00:47:44,172
Speaker 3: once you get to a certain age that you've got

1030
00:47:44,173 --> 00:47:46,333
Speaker 3: this ability that you might be home by yourself a

1031
00:47:46,333 --> 00:47:48,293
Speaker 3: lot of the time, to have an AI chatbot that

1032
00:47:48,333 --> 00:47:50,093
Speaker 3: you could just have a discussion with, even if you

1033
00:47:50,093 --> 00:47:50,853
Speaker 3: know it's not real.

1034
00:47:51,093 --> 00:47:54,413
Speaker 2: Twenty five percent of New Zealand homes are single people homes,

1035
00:47:54,493 --> 00:47:57,533
Speaker 2: says this text. I would also say some cohabiting people

1036
00:47:57,573 --> 00:47:59,933
Speaker 2: would also be as lonely. Some of us just don't

1037
00:47:59,973 --> 00:48:02,733
Speaker 2: mix with real people, hence having to listen to you

1038
00:48:02,853 --> 00:48:06,333
Speaker 2: two muppets. That's from Steve good point. Steve, Wow, but

1039
00:48:06,373 --> 00:48:06,973
Speaker 2: are we real?

1040
00:48:07,533 --> 00:48:11,013
Speaker 3: That's right? We could the AI you might just be listening.

1041
00:48:11,533 --> 00:48:14,013
Speaker 2: That's going to become a concern more and more, isn't it.

1042
00:48:14,013 --> 00:48:16,693
Speaker 2: It is because I have responded to a text machine,

1043
00:48:17,053 --> 00:48:19,373
Speaker 2: a text that came through before, and someone said, is

1044
00:48:19,373 --> 00:48:22,613
Speaker 2: that really Matt, and I was like, or is this AI?

1045
00:48:22,693 --> 00:48:24,933
Speaker 2: And I was like, or is me? Well, I hope

1046
00:48:24,933 --> 00:48:31,373
Speaker 2: it's me. Yeah, this Texas says, this is disgusting from you, Matt.

1047
00:48:31,573 --> 00:48:34,413
Speaker 2: Parents are so crap these days. Get your kid down

1048
00:48:34,453 --> 00:48:36,973
Speaker 2: the park playing with friends. Well, it's not my kids

1049
00:48:36,973 --> 00:48:39,933
Speaker 2: that are on the AI, it's it's some kids are

1050
00:48:39,933 --> 00:48:42,493
Speaker 2: on the AI. What percentage was it? Twenty three percent?

1051
00:48:42,773 --> 00:48:48,413
Speaker 2: Twenty three percent using a I for companionship. So that's

1052
00:48:48,893 --> 00:48:49,493
Speaker 2: one and four.

1053
00:48:49,693 --> 00:48:50,613
Speaker 3: That's a huge number.

1054
00:48:51,253 --> 00:48:53,533
Speaker 2: That's serious being welcome to the show.

1055
00:48:55,133 --> 00:48:58,053
Speaker 13: Yeah, hey guys, Yes, So I've got my father at

1056
00:48:58,053 --> 00:49:00,413
Speaker 13: the moment. It's just gone into a home. He's seventy one,

1057
00:49:01,173 --> 00:49:03,893
Speaker 13: and my sister and all set up a system form

1058
00:49:04,373 --> 00:49:07,413
Speaker 13: like it's through Amazon. And he's got a two way

1059
00:49:07,493 --> 00:49:10,573
Speaker 13: speaker and it's set up for his tablets and that,

1060
00:49:10,853 --> 00:49:13,413
Speaker 13: and he can he can control the lighting just by

1061
00:49:13,453 --> 00:49:18,333
Speaker 13: talking to the speaker. He can ask it questions, get answers,

1062
00:49:18,453 --> 00:49:21,853
Speaker 13: he can ask it to change the channel on the TV,

1063
00:49:22,173 --> 00:49:24,692
Speaker 13: control the eating and that. And it wasn't a hell

1064
00:49:24,733 --> 00:49:26,613
Speaker 13: of a lot of cost to set it up. From

1065
00:49:26,653 --> 00:49:29,173
Speaker 13: what I understand, it was less than five hundred bucks.

1066
00:49:30,013 --> 00:49:32,373
Speaker 2: And is he getting some companionship from it. Do you

1067
00:49:32,453 --> 00:49:35,173
Speaker 2: think it a point?

1068
00:49:35,293 --> 00:49:38,573
Speaker 13: You know, like he'll ask it questions, he'll get answers.

1069
00:49:39,533 --> 00:49:43,213
Speaker 13: The answers are pretty pretty good, to be honest, especially

1070
00:49:43,293 --> 00:49:44,933
Speaker 13: you know, like he does a little bit of cooking,

1071
00:49:45,373 --> 00:49:47,093
Speaker 13: so he asked it a few questions to do with

1072
00:49:47,173 --> 00:49:50,973
Speaker 13: cooking whatever, and yeah, he gets some pretty good answers.

1073
00:49:51,453 --> 00:49:55,613
Speaker 13: He just has a general conversation with it. So I

1074
00:49:55,653 --> 00:49:57,533
Speaker 13: think it's great for an old person on their own.

1075
00:49:58,253 --> 00:50:00,893
Speaker 2: So that's that's a setup that you have. That's you know,

1076
00:50:01,013 --> 00:50:03,893
Speaker 2: it's a search engine, it's you know, for controlling your house.

1077
00:50:04,053 --> 00:50:06,413
Speaker 2: How would you feel because you can get you know,

1078
00:50:06,533 --> 00:50:08,933
Speaker 2: you can get an app on whatever system it is,

1079
00:50:08,933 --> 00:50:13,573
Speaker 2: whether it's Alexa or Siri or Google Home or whatever

1080
00:50:13,573 --> 00:50:18,333
Speaker 2: it is, where he could actually be talking to AI

1081
00:50:18,573 --> 00:50:23,253
Speaker 2: that is simulating being a friend. You know. How would you.

1082
00:50:23,173 --> 00:50:27,573
Speaker 13: Feel done through Alixa? Yeah, yeah, yeah, this one has

1083
00:50:27,613 --> 00:50:31,093
Speaker 13: done for Alixa, but it's not all the controls are there.

1084
00:50:31,093 --> 00:50:33,453
Speaker 13: We haven't implemented them all. So it's just at the

1085
00:50:33,493 --> 00:50:36,333
Speaker 13: moment it's basic. Because he's he's in the seventies, he

1086
00:50:36,373 --> 00:50:39,053
Speaker 13: doesn't really know what he's doing, so we've had to

1087
00:50:39,133 --> 00:50:41,773
Speaker 13: limit what you know what he can he can't do

1088
00:50:41,773 --> 00:50:43,133
Speaker 13: where he's just going to get frustrated.

1089
00:50:44,453 --> 00:50:46,373
Speaker 2: Do you do you? But but I guess what I'm

1090
00:50:46,373 --> 00:50:48,773
Speaker 2: trying to say is would you feel like, so does

1091
00:50:48,773 --> 00:50:50,252
Speaker 2: he live by himself? Did you say, Ben?

1092
00:50:51,053 --> 00:50:51,533
Speaker 10: Yes? Yes?

1093
00:50:51,573 --> 00:50:53,813
Speaker 2: Yeah? And and I mean, if you don't mind me asking,

1094
00:50:53,853 --> 00:50:55,893
Speaker 2: do you does he get lonely?

1095
00:50:57,573 --> 00:50:57,812
Speaker 5: Done?

1096
00:50:57,933 --> 00:51:00,053
Speaker 13: I would say he would like he You know, these

1097
00:51:00,093 --> 00:51:03,293
Speaker 13: other people were around in the retirement home. It's not

1098
00:51:03,333 --> 00:51:05,853
Speaker 13: a managed one, so there's someone there all the time.

1099
00:51:05,973 --> 00:51:09,733
Speaker 13: So it's it's like I would say, at ninety we

1100
00:51:09,773 --> 00:51:11,813
Speaker 13: get learnely. We try and chat to them as much

1101
00:51:11,853 --> 00:51:14,853
Speaker 13: as we can, but it's not possible every day or

1102
00:51:14,893 --> 00:51:19,652
Speaker 13: every night. And like this isn't full on AI, but

1103
00:51:19,733 --> 00:51:24,173
Speaker 13: it's basic. Yeah, but it definitely helps. It's definitely helped them.

1104
00:51:24,213 --> 00:51:25,213
Speaker 13: We've noticed the difference.

1105
00:51:25,373 --> 00:51:29,613
Speaker 2: Yeah, And so you would you feel like it would

1106
00:51:29,613 --> 00:51:32,413
Speaker 2: be filling a gap in his life if he had

1107
00:51:32,493 --> 00:51:37,493
Speaker 2: one of these AI friends as it were. So it's

1108
00:51:37,573 --> 00:51:40,293
Speaker 2: not just getting information from it's not just doing something

1109
00:51:40,373 --> 00:51:44,493
Speaker 2: for him. It is having a conversation like you would

1110
00:51:44,493 --> 00:51:47,013
Speaker 2: have a conversation with a human, you know, asking you

1111
00:51:47,053 --> 00:51:51,253
Speaker 2: about your life and discussing the world around you and

1112
00:51:51,573 --> 00:51:54,173
Speaker 2: it giving you responses as if you were talking to

1113
00:51:54,213 --> 00:51:54,613
Speaker 2: a human.

1114
00:51:56,573 --> 00:52:00,133
Speaker 13: Yeah, we haven't thought about going that far. I'm not

1115
00:52:00,213 --> 00:52:03,613
Speaker 13: sure about someone in this deveniss someone in their twenties, definitely,

1116
00:52:03,653 --> 00:52:06,293
Speaker 13: But yeah, I think you've got to have a limit.

1117
00:52:06,333 --> 00:52:07,933
Speaker 13: You know, there's many people get there in age. There's

1118
00:52:07,933 --> 00:52:10,213
Speaker 13: only so much second comprehend it, and you can actually

1119
00:52:10,213 --> 00:52:13,333
Speaker 13: teach them and they'll take on board. So it would

1120
00:52:13,373 --> 00:52:15,172
Speaker 13: be nice to try it. But yeah, I think you've

1121
00:52:15,173 --> 00:52:15,533
Speaker 13: got to be.

1122
00:52:17,293 --> 00:52:19,173
Speaker 2: If he could take it on board, you'd be happy

1123
00:52:19,173 --> 00:52:19,453
Speaker 2: with that.

1124
00:52:20,853 --> 00:52:23,013
Speaker 13: Yeah, we would be happy. But at the moment he's

1125
00:52:23,053 --> 00:52:25,613
Speaker 13: happy and he doesn't rely on us as much as

1126
00:52:25,653 --> 00:52:26,093
Speaker 13: what he did.

1127
00:52:28,493 --> 00:52:29,933
Speaker 2: Oh, well, good on your being. You sound like a

1128
00:52:29,933 --> 00:52:30,293
Speaker 2: good son.

1129
00:52:30,373 --> 00:52:32,652
Speaker 3: Thank you, great call. I mean that is we're not

1130
00:52:32,693 --> 00:52:35,013
Speaker 3: too far away from that situation right where you can

1131
00:52:35,013 --> 00:52:38,053
Speaker 3: have on your Amazon Elixa and it's a simulated AI

1132
00:52:38,133 --> 00:52:40,413
Speaker 3: chat bot that can have a real life. So far

1133
00:52:40,413 --> 00:52:43,133
Speaker 3: away from it, well, yeah, it exists, of course it does.

1134
00:52:43,253 --> 00:52:44,293
Speaker 2: This is what we're talking about.

1135
00:52:44,373 --> 00:52:46,933
Speaker 3: Yeah, we are obviously for the children, but I'm saying

1136
00:52:47,013 --> 00:52:49,493
Speaker 3: that Alexa at the moment has kind of got that

1137
00:52:49,613 --> 00:52:51,773
Speaker 3: robotic voice right, and.

1138
00:52:51,493 --> 00:52:52,933
Speaker 2: You can you can have any kind of voice you.

1139
00:52:52,893 --> 00:52:54,933
Speaker 3: Want if you've got Alexa rhyme, don't you.

1140
00:52:55,013 --> 00:52:59,253
Speaker 2: I've got Alexa, Google Home and you know obviously sirih Yeah,

1141
00:52:59,293 --> 00:53:01,973
Speaker 2: so I've got AI all through my house listen to

1142
00:53:02,013 --> 00:53:04,973
Speaker 2: me all the time and monitoring me constantly. Do you

1143
00:53:05,013 --> 00:53:07,212
Speaker 2: ever have a debate with ALIXA? Well, sometimes I'll ask

1144
00:53:07,253 --> 00:53:10,973
Speaker 2: the wrong AI and they've all got a joke for it,

1145
00:53:11,053 --> 00:53:15,292
Speaker 2: you know. Yeah, so you'll ask Alexa to do something

1146
00:53:15,373 --> 00:53:17,453
Speaker 2: thinking it's Google and say you've got the wrong guy.

1147
00:53:17,853 --> 00:53:19,613
Speaker 2: And then because you know, so, you know, in our

1148
00:53:19,693 --> 00:53:23,333
Speaker 2: kitchen we've got a Google set up, and and all

1149
00:53:23,373 --> 00:53:26,573
Speaker 2: the bedrooms we've got the Alexa set up, and you know,

1150
00:53:26,693 --> 00:53:29,333
Speaker 2: to turn on lights and turn things off, and you know,

1151
00:53:29,373 --> 00:53:31,893
Speaker 2: it's it covers a lot of a lot of our house.

1152
00:53:32,013 --> 00:53:32,212
Speaker 10: Yeah.

1153
00:53:32,253 --> 00:53:35,453
Speaker 2: Yeah, but you can have you know, you can. You

1154
00:53:35,493 --> 00:53:39,333
Speaker 2: can get obviously apps which which you will just talk

1155
00:53:39,373 --> 00:53:41,692
Speaker 2: back and forth with your your speaker as if they

1156
00:53:41,733 --> 00:53:43,573
Speaker 2: were a friend, and you get Look, you can do

1157
00:53:43,573 --> 00:53:45,773
Speaker 2: it with Alexa if you want. Absolutely, you can do

1158
00:53:45,813 --> 00:53:47,293
Speaker 2: it with Google Home if you want. But there are

1159
00:53:47,293 --> 00:53:50,973
Speaker 2: also things that are specifically programmed to be more human

1160
00:53:51,413 --> 00:53:54,133
Speaker 2: and not just there to help you but to be

1161
00:53:54,253 --> 00:53:54,773
Speaker 2: a friend.

1162
00:53:55,453 --> 00:53:57,893
Speaker 3: If I had that, I'd absolutely be having conversations and

1163
00:53:57,933 --> 00:53:59,973
Speaker 3: debates with Alexa and Google hundred percent.

1164
00:54:00,493 --> 00:54:02,893
Speaker 2: But right, well you think you can?

1165
00:54:02,973 --> 00:54:05,333
Speaker 3: Man, Okay, I'm going to go down and BUYOT today.

1166
00:54:05,333 --> 00:54:07,533
Speaker 2: Do you have a little Echo expensive?

1167
00:54:07,653 --> 00:54:09,133
Speaker 3: It's going to be very happy that she doesn't have

1168
00:54:09,173 --> 00:54:10,933
Speaker 3: to listen to my punishing Chad anymore. I can set

1169
00:54:10,973 --> 00:54:11,333
Speaker 3: with AI.

1170
00:54:11,613 --> 00:54:13,373
Speaker 2: It might even be more punishing if you're just having

1171
00:54:13,373 --> 00:54:16,293
Speaker 2: a conversation with you know, she's trying to watch TV

1172
00:54:16,373 --> 00:54:17,652
Speaker 2: and you're gas bagging a way to it.

1173
00:54:17,773 --> 00:54:21,613
Speaker 3: Two, shut up whatever boring stuff you're into. Oh, one

1174
00:54:21,693 --> 00:54:24,172
Speaker 3: hundred eighty ten eighty is the number to call. How

1175
00:54:24,173 --> 00:54:27,333
Speaker 3: do you feel about children having AI as companions not

1176
00:54:27,413 --> 00:54:31,053
Speaker 3: just children across the board? How do you interact with AI?

1177
00:54:31,453 --> 00:54:34,253
Speaker 2: Yeah, and look Gary text through here. Hi, guys, I'm

1178
00:54:34,293 --> 00:54:36,813
Speaker 2: seventy five and still fly planes. We're not all past it.

1179
00:54:36,853 --> 00:54:39,173
Speaker 2: That's Gary. And I would say, like, my dad's in

1180
00:54:39,213 --> 00:54:41,893
Speaker 2: his early eighties, and no one is more open to

1181
00:54:41,973 --> 00:54:44,973
Speaker 2: embracing new technology than my dad. Yeah, Like he's whenever

1182
00:54:45,013 --> 00:54:47,253
Speaker 2: I spend time with him, he's introducing meat and new

1183
00:54:47,813 --> 00:54:50,893
Speaker 2: high tech stuff. So it's it's some people as they

1184
00:54:50,893 --> 00:54:53,053
Speaker 2: get older, are not interested in new tech, and some

1185
00:54:53,093 --> 00:54:53,573
Speaker 2: people are.

1186
00:54:53,773 --> 00:54:56,893
Speaker 3: Yeah, nicely said, we're all different. Exactly. Oh eight hundred

1187
00:54:56,933 --> 00:54:58,973
Speaker 3: eighty ten eighty is the number to call. It is

1188
00:54:59,053 --> 00:55:00,253
Speaker 3: twenty four past.

1189
00:54:59,973 --> 00:55:07,533
Speaker 1: Two Matt Heathan Tyler Adams afternoons call oh eight hundred

1190
00:55:07,573 --> 00:55:09,453
Speaker 1: eighty ten eighty on News Talk ZV.

1191
00:55:10,293 --> 00:55:13,053
Speaker 2: There are heaps of opportunities out there for business leaders,

1192
00:55:13,053 --> 00:55:15,533
Speaker 2: but really only one you should be paying attention to,

1193
00:55:15,613 --> 00:55:18,413
Speaker 2: and that's Spreading Industrial Estate. Located in the heart of

1194
00:55:18,413 --> 00:55:19,373
Speaker 2: Auckland's northwest.

1195
00:55:19,453 --> 00:55:23,653
Speaker 3: Spreading Industrialist State is a thoughtfully designed modern industrial development

1196
00:55:23,693 --> 00:55:26,773
Speaker 3: precinct with as tractive streetscapes.

1197
00:55:26,253 --> 00:55:30,093
Speaker 2: Is strategically located with unmatched connectivity in the inner city

1198
00:55:30,133 --> 00:55:32,933
Speaker 2: and well established infrastructure already in place.

1199
00:55:33,053 --> 00:55:36,773
Speaker 3: Auckland's north and west is experiencing an extreme shortage of

1200
00:55:36,813 --> 00:55:40,653
Speaker 3: industrial land, so Spreading Industrial Estate rarely fills that gap.

1201
00:55:40,813 --> 00:55:43,093
Speaker 2: The area is one of Auckland's key growth nodes, with

1202
00:55:43,133 --> 00:55:47,693
Speaker 2: substantial residential and infrastructure development supporting this explosion of development,

1203
00:55:47,773 --> 00:55:50,533
Speaker 2: so it makes sense that such a well considered industrial

1204
00:55:50,613 --> 00:55:53,213
Speaker 2: estate would emerge in the heart of this precinct to

1205
00:55:53,333 --> 00:55:55,493
Speaker 2: live a major employment opportunity.

1206
00:55:55,693 --> 00:55:59,173
Speaker 3: Spreading has developed lots available right now from three thousand

1207
00:55:59,213 --> 00:56:00,893
Speaker 3: to fifty thousand square meters.

1208
00:56:01,053 --> 00:56:05,493
Speaker 2: Be part of the Northwest future in this world class location.

1209
00:56:05,773 --> 00:56:09,213
Speaker 3: For more information, visit Spreading Road dot co dot NZ.

1210
00:56:09,413 --> 00:56:13,013
Speaker 2: Brought to you by Colliers Licensed are AA two thousand

1211
00:56:13,053 --> 00:56:15,333
Speaker 2: and eight z ME.

1212
00:56:16,013 --> 00:56:19,213
Speaker 3: And we aren't talking about AI chatbots replacing friends or

1213
00:56:19,573 --> 00:56:22,413
Speaker 3: acting as a companion for twenty three percent of New

1214
00:56:22,533 --> 00:56:24,692
Speaker 3: Zealand children. How do you feel about that? Oh, eight

1215
00:56:24,813 --> 00:56:26,933
Speaker 3: hundred and eighty ten eighty Is this a step too far?

1216
00:56:27,253 --> 00:56:28,693
Speaker 3: Or does it make a lot of sense?

1217
00:56:29,133 --> 00:56:31,813
Speaker 2: Guys? Says the text, So what the hell has happened

1218
00:56:31,893 --> 00:56:35,173
Speaker 2: that AI became your companion? Not good in my opinion.

1219
00:56:35,253 --> 00:56:38,732
Speaker 2: And a child's development and ability to connect with people. Craig, Yeah,

1220
00:56:38,733 --> 00:56:42,413
Speaker 2: that's what I'd worry about because sometimes and you've got

1221
00:56:42,453 --> 00:56:46,533
Speaker 2: to wonder as a parent whether you're taking the easy option. So,

1222
00:56:47,173 --> 00:56:49,013
Speaker 2: you know, when I was a kid, was talking about

1223
00:56:49,093 --> 00:56:51,813
Speaker 2: using television as a babysitter, right, And then you know,

1224
00:56:51,893 --> 00:56:53,853
Speaker 2: you go to a restaurant and you'll see a kid

1225
00:56:53,893 --> 00:56:57,453
Speaker 2: there that's on their iPad with the headphones on while

1226
00:56:57,453 --> 00:57:00,093
Speaker 2: they're sitting around the table at the restaurant, and that's

1227
00:57:00,173 --> 00:57:03,493
Speaker 2: just like keep the kid quiet, and then what is

1228
00:57:03,533 --> 00:57:06,293
Speaker 2: the next step of that is? You know, this kid

1229
00:57:06,333 --> 00:57:08,533
Speaker 2: doesn't need to find friends. The kids just have be

1230
00:57:08,573 --> 00:57:10,933
Speaker 2: talking to AI in the other room. No need for

1231
00:57:10,973 --> 00:57:13,652
Speaker 2: a playdate, no need to drive them across town, no

1232
00:57:13,693 --> 00:57:15,493
Speaker 2: need for them to join a sports team to find

1233
00:57:15,533 --> 00:57:18,893
Speaker 2: friends or whatever they were going to do. That's fine,

1234
00:57:18,933 --> 00:57:20,853
Speaker 2: we've ticked that off. The kids just happy over there

1235
00:57:20,853 --> 00:57:22,093
Speaker 2: talking with its AI companion.

1236
00:57:22,173 --> 00:57:23,893
Speaker 3: Yeah, it starts to get a bit black mirror at

1237
00:57:23,933 --> 00:57:25,853
Speaker 3: that stage. Oh, eight hundred eighty ten eighty is a

1238
00:57:25,893 --> 00:57:26,373
Speaker 3: number to call.

1239
00:57:26,533 --> 00:57:27,493
Speaker 2: Greg. Welcome to the show.

1240
00:57:28,773 --> 00:57:29,893
Speaker 7: Yeah, gooday, how's it going?

1241
00:57:30,733 --> 00:57:31,173
Speaker 1: Very good?

1242
00:57:31,213 --> 00:57:32,453
Speaker 2: Greg? What's your thoughts on this?

1243
00:57:34,053 --> 00:57:38,453
Speaker 7: Or it's more than I'm sort of thinking, but the

1244
00:57:38,533 --> 00:57:41,533
Speaker 7: AI doesn't have a choice whereas a real person would.

1245
00:57:42,733 --> 00:57:45,413
Speaker 7: But also, as you guys were talking about, like I

1246
00:57:45,413 --> 00:57:47,453
Speaker 7: think a few weeks ago or something, if we are

1247
00:57:47,573 --> 00:57:52,173
Speaker 7: living in a simulation that everybody is an AI.

1248
00:57:52,813 --> 00:57:55,493
Speaker 2: Yeah, well it's something to worry about.

1249
00:57:56,173 --> 00:57:56,493
Speaker 3: That's good.

1250
00:57:57,133 --> 00:58:01,093
Speaker 2: Well yeah, well, unless we're all sitting somewhere else, let's

1251
00:58:01,093 --> 00:58:03,373
Speaker 2: not go too deep into it. Unless we're all playing

1252
00:58:03,413 --> 00:58:06,533
Speaker 2: in a sandbox world, so we're all plugged in somewhere else.

1253
00:58:06,813 --> 00:58:07,773
Speaker 2: I'll other matrix.

1254
00:58:10,013 --> 00:58:13,173
Speaker 7: It remembers what you say and about your conversations and

1255
00:58:13,213 --> 00:58:13,853
Speaker 7: stuff like that.

1256
00:58:15,253 --> 00:58:17,773
Speaker 2: Yeah, you could build.

1257
00:58:17,493 --> 00:58:20,933
Speaker 7: A sort of a rapport or like a friendship per

1258
00:58:20,973 --> 00:58:24,733
Speaker 7: se with it. But it doesn't have a choice. So

1259
00:58:24,973 --> 00:58:26,813
Speaker 7: are you really learning thing from it?

1260
00:58:27,653 --> 00:58:31,133
Speaker 2: Yeah, well that's the thing. So the idea of a

1261
00:58:31,173 --> 00:58:34,213
Speaker 2: friend is that you've met them, you've got over that

1262
00:58:34,293 --> 00:58:37,213
Speaker 2: threshold of the first time you introduce them to each other,

1263
00:58:37,253 --> 00:58:39,653
Speaker 2: you find out you've got shared interest. You grow them together,

1264
00:58:39,733 --> 00:58:42,413
Speaker 2: but you've got to butt heads with them sometimes you'll

1265
00:58:42,453 --> 00:58:44,773
Speaker 2: have an argument. You've got to win them over a

1266
00:58:44,773 --> 00:58:46,853
Speaker 2: little bit with your jokes all that kind of stuff.

1267
00:58:46,893 --> 00:58:48,893
Speaker 2: And that's how you become a robust human being that

1268
00:58:48,893 --> 00:58:50,933
Speaker 2: can meet other human beings and you take those skills

1269
00:58:50,933 --> 00:58:54,493
Speaker 2: onto other human beings. If your companion that's filling that gap,

1270
00:58:54,573 --> 00:58:59,133
Speaker 2: scratching that itch of being social is AI, then you

1271
00:58:59,133 --> 00:59:01,693
Speaker 2: don't have to win it over. As you say, Greg's

1272
00:59:02,653 --> 00:59:03,693
Speaker 2: it doesn't have a choice.

1273
00:59:03,933 --> 00:59:06,933
Speaker 7: What's it is going to agree with you? Yeah, you know,

1274
00:59:07,773 --> 00:59:11,253
Speaker 7: it's not really going to push those sort of conversational

1275
00:59:11,333 --> 00:59:12,773
Speaker 7: boundary you know.

1276
00:59:12,853 --> 00:59:15,093
Speaker 2: Yeah, And I'm sure you could probably you could probably

1277
00:59:15,093 --> 00:59:18,573
Speaker 2: select things to say to make it more argumentative, but

1278
00:59:18,613 --> 00:59:22,533
Speaker 2: then you're choosing that, so it's not the same, Yeah,

1279
00:59:23,453 --> 00:59:25,893
Speaker 2: because it's quite full on sending kids to school to

1280
00:59:26,253 --> 00:59:28,893
Speaker 2: make friends, and as a parent, you're worry about them.

1281
00:59:28,973 --> 00:59:32,133
Speaker 2: You go, I hope they make friends, but that cauldron

1282
00:59:32,173 --> 00:59:35,733
Speaker 2: of school and you know, the socializing is really what

1283
00:59:36,413 --> 00:59:39,973
Speaker 2: makes you who you are as a member of society.

1284
00:59:40,133 --> 00:59:41,413
Speaker 3: So the deep end.

1285
00:59:41,333 --> 00:59:44,973
Speaker 7: Of socializing needs to be learned as well. And if

1286
00:59:45,293 --> 00:59:47,493
Speaker 7: you're sort of cutting those corners, and I think you're

1287
00:59:47,533 --> 00:59:50,133
Speaker 7: sort of going to block that put out from learning

1288
00:59:50,173 --> 00:59:54,853
Speaker 7: those skills, yeah, learning how to react to other people's

1289
00:59:54,893 --> 00:59:56,173
Speaker 7: reactions and stuff.

1290
00:59:56,253 --> 00:59:58,413
Speaker 2: And then they go and then they get a job

1291
00:59:58,733 --> 01:00:00,973
Speaker 2: and on the first day someone is incredibly rude to

1292
01:00:01,013 --> 01:00:02,733
Speaker 2: them and they're like, oh my god, and it hurts

1293
01:00:02,773 --> 01:00:06,973
Speaker 2: fifty eight thousand times more than it would if you'd

1294
01:00:07,013 --> 01:00:09,533
Speaker 2: had you know, you'd experienced a of that before at school,

1295
01:00:09,613 --> 01:00:09,813
Speaker 2: you know.

1296
01:00:10,013 --> 01:00:14,253
Speaker 7: Yeah, well, yeah, that's exactly that they might come across

1297
01:00:14,253 --> 01:00:16,733
Speaker 7: from of these wokies that are all offended in that,

1298
01:00:17,373 --> 01:00:20,373
Speaker 7: and they'll probably sort of learn, oh, if I'm offended,

1299
01:00:20,413 --> 01:00:23,173
Speaker 7: then that other people's problems instead of my own.

1300
01:00:24,413 --> 01:00:27,693
Speaker 2: As a parent, would you be being a pet apparent, Greig, Greg,

1301
01:00:27,733 --> 01:00:31,213
Speaker 2: then if you set your kid's AI companion to just

1302
01:00:31,373 --> 01:00:35,853
Speaker 2: be really mean to them so they get absolutely hardened up,

1303
01:00:35,893 --> 01:00:37,933
Speaker 2: so when they hit the world, actually humans are nicer.

1304
01:00:39,533 --> 01:00:39,973
Speaker 15: I don't know.

1305
01:00:40,053 --> 01:00:43,613
Speaker 7: I'd probably say you're better off, but he hanging out

1306
01:00:43,653 --> 01:00:46,053
Speaker 7: with you, getting them to hang out with their cousins

1307
01:00:46,213 --> 01:00:46,733
Speaker 7: or you know.

1308
01:00:47,053 --> 01:00:49,973
Speaker 2: I think I think that you know what you say

1309
01:00:49,973 --> 01:00:52,173
Speaker 2: about cousins. I think that is that is a huge

1310
01:00:52,453 --> 01:00:54,573
Speaker 2: part of the world that is kind of missing a

1311
01:00:54,573 --> 01:00:57,853
Speaker 2: little bit now, I see, because there's nothing like nothing

1312
01:00:57,853 --> 01:01:00,373
Speaker 2: like hanging with your cousins, your cousins because they've got

1313
01:01:00,413 --> 01:01:03,053
Speaker 2: a connection to you where a kind of already you're

1314
01:01:03,093 --> 01:01:06,533
Speaker 2: already built in connection to you. So that's that means something.

1315
01:01:07,173 --> 01:01:12,573
Speaker 3: But you know, but unlikely they'll push back, exactly, Greg.

1316
01:01:12,693 --> 01:01:15,093
Speaker 2: If you anything like my cousin, they'll not only push back,

1317
01:01:15,093 --> 01:01:17,133
Speaker 2: but they'll push you out of a sycamore tree and

1318
01:01:17,693 --> 01:01:18,573
Speaker 2: twist your arm back.

1319
01:01:19,253 --> 01:01:22,653
Speaker 3: That's a good cousin right there, Greg, Thank you very much.

1320
01:01:22,693 --> 01:01:24,613
Speaker 3: Great points. Oh eight one hundred and eighty ten eighty

1321
01:01:24,693 --> 01:01:26,373
Speaker 3: is the number to call Love to hear your thoughts

1322
01:01:26,413 --> 01:01:29,893
Speaker 3: about AI chatbots replacing friends. For twenty three percent of

1323
01:01:30,013 --> 01:01:32,813
Speaker 3: New Zealand kids is it a step too far? And

1324
01:01:32,853 --> 01:01:34,973
Speaker 3: coming up after the headlines, we are going to chat

1325
01:01:35,013 --> 01:01:38,933
Speaker 3: to Papaitoe High High School Principal Worn Koyoh. He's got

1326
01:01:38,933 --> 01:01:41,213
Speaker 3: a lot to say about AI and the use of

1327
01:01:41,253 --> 01:01:44,253
Speaker 3: it by his students. So that is coming up. It

1328
01:01:44,333 --> 01:01:47,373
Speaker 3: is twenty seven to three headlines with ray Leane on

1329
01:01:47,413 --> 01:01:47,773
Speaker 3: its way.

1330
01:01:49,973 --> 01:01:54,013
Speaker 12: You talk said, be headlines with blue bubble taxis it's

1331
01:01:54,093 --> 01:01:57,533
Speaker 12: no trouble with a blue bubble. The Comments and Consumer

1332
01:01:57,573 --> 01:02:01,653
Speaker 12: Affairs Minister says plans to ban sneaky surcharges on card

1333
01:02:01,773 --> 01:02:06,493
Speaker 12: transactions from next May could collectively save Kiwei's up to

1334
01:02:06,573 --> 01:02:09,573
Speaker 12: one hundred and fifty million dollars in fees a year.

1335
01:02:10,613 --> 01:02:13,453
Speaker 12: The government's running the tape measure over rules on using

1336
01:02:13,493 --> 01:02:17,813
Speaker 12: scaffolding during construction. It says the protective measure is often

1337
01:02:17,933 --> 01:02:21,093
Speaker 12: used regardless of the level of risk and the legislation

1338
01:02:21,293 --> 01:02:24,693
Speaker 12: needs to be tailored to simplify jobs and cut costs.

1339
01:02:25,773 --> 01:02:29,373
Speaker 12: Mixed news on employment, with Stats and Z figures showing

1340
01:02:29,453 --> 01:02:32,973
Speaker 12: zero point one percent rise and filled jobs last month,

1341
01:02:33,493 --> 01:02:36,813
Speaker 12: led by work in primary industries going up zero point

1342
01:02:36,893 --> 01:02:40,373
Speaker 12: nine percent. A fifty seven year old is due in

1343
01:02:40,493 --> 01:02:43,453
Speaker 12: court accused of smuggling more than a kilo of meth

1344
01:02:43,653 --> 01:02:47,293
Speaker 12: into Auckland Airport in carry on luggage over the weekend

1345
01:02:47,693 --> 01:02:51,893
Speaker 12: after flying it from Kuala Lumpur. Tadadua District Council is

1346
01:02:51,933 --> 01:02:55,013
Speaker 12: trying to work out if someone's been stealing water after

1347
01:02:55,093 --> 01:02:58,413
Speaker 12: major unexplained drops at the Pongo or a water treatment

1348
01:02:58,493 --> 01:03:02,373
Speaker 12: plant in the past week. Another explanation could be new

1349
01:03:02,493 --> 01:03:07,173
Speaker 12: leaks a revived threat for Scott Robertson's All Blacks. You

1350
01:03:07,213 --> 01:03:10,613
Speaker 12: can see Phil Gifford's full column at enzid Herald Premium.

1351
01:03:10,973 --> 01:03:12,933
Speaker 12: Back to matt Ethan Tyler Adams.

1352
01:03:12,653 --> 01:03:14,533
Speaker 3: Saying to you very much, Raylean, and we are talking

1353
01:03:14,573 --> 01:03:18,173
Speaker 3: about artificial intelligence chatbots. They are replacing friends for twenty

1354
01:03:18,213 --> 01:03:21,893
Speaker 3: three percent of New Zealand kids, that is according to

1355
01:03:21,973 --> 01:03:25,613
Speaker 3: Norton Anti Virus and Cybersecurity. To chat further about this,

1356
01:03:25,693 --> 01:03:28,933
Speaker 3: we're now joined by Papatoe Toe High School Principal Vaughn.

1357
01:03:29,853 --> 01:03:34,133
Speaker 3: Call you Vaughan, very good afternoon to you. Nice to

1358
01:03:34,173 --> 01:03:34,813
Speaker 3: have your company.

1359
01:03:35,653 --> 01:03:36,053
Speaker 16: All good.

1360
01:03:36,493 --> 01:03:39,773
Speaker 2: Now, what do you see as the risks that come

1361
01:03:39,813 --> 01:03:43,133
Speaker 2: with kids using AI chatbods instead of human bodies?

1362
01:03:44,413 --> 01:03:48,053
Speaker 16: Yeah, Interestingly, I'd just like to say that I'm not

1363
01:03:48,053 --> 01:03:50,493
Speaker 16: sure the sample size that Norton used in their research

1364
01:03:50,693 --> 01:03:57,013
Speaker 16: was particularly problematic, was particularly decent. He of a thousand people. Yeah,

1365
01:03:57,253 --> 01:03:59,213
Speaker 16: it's very light, and there's more people at my school,

1366
01:03:59,213 --> 01:04:01,693
Speaker 16: and it's sampled and surveys, so I don't think my

1367
01:04:01,773 --> 01:04:04,813
Speaker 16: school is indicative of the entire New Zealand population. But nonetheless,

1368
01:04:06,653 --> 01:04:09,613
Speaker 16: we are getting increasing numbers of young people who are

1369
01:04:10,413 --> 01:04:13,333
Speaker 16: overly connected to their device, whatever that might be. So

1370
01:04:13,373 --> 01:04:16,053
Speaker 16: it could be from a social media perspective, or now

1371
01:04:16,093 --> 01:04:20,053
Speaker 16: as the AI technologies improve or advance, I should say

1372
01:04:20,413 --> 01:04:23,693
Speaker 16: to someone who's actually not a human that they're developing

1373
01:04:24,173 --> 01:04:26,573
Speaker 16: a relationship with. So it can be problematic.

1374
01:04:28,093 --> 01:04:32,453
Speaker 2: Schools can be brutal, of course, and you know parents

1375
01:04:32,453 --> 01:04:34,453
Speaker 2: worry about their kids, you know, dropping them off at

1376
01:04:34,453 --> 01:04:36,573
Speaker 2: the gate. They have to interact with so many different people,

1377
01:04:36,613 --> 01:04:38,933
Speaker 2: But so is life. Life is brutal as well. So

1378
01:04:39,053 --> 01:04:41,773
Speaker 2: as part of the school experience learning how to deal

1379
01:04:41,853 --> 01:04:45,653
Speaker 2: with people that maybe not well, some people are actually

1380
01:04:45,693 --> 01:04:47,853
Speaker 2: out to get you all through life. And is that

1381
01:04:47,893 --> 01:04:50,853
Speaker 2: part of the school experience, learning how to deal with

1382
01:04:51,253 --> 01:04:54,933
Speaker 2: complex interactions and the foeables of other humans.

1383
01:04:56,613 --> 01:04:59,573
Speaker 16: I'd like to rephrase that a bit. Some relationships can

1384
01:04:59,653 --> 01:05:03,733
Speaker 16: be complicated with people in a large space. Schools can

1385
01:05:03,773 --> 01:05:08,293
Speaker 16: also be incredibly warm and supportive when you're in need.

1386
01:05:09,173 --> 01:05:13,533
Speaker 16: So sometimes some particular relationships can be problematic, and you

1387
01:05:13,653 --> 01:05:16,613
Speaker 16: do have to develop a degree of resilience as a human.

1388
01:05:17,213 --> 01:05:20,413
Speaker 16: When you think about how my own family banters around

1389
01:05:20,453 --> 01:05:23,133
Speaker 16: the dining room table, some of it can be pretty

1390
01:05:23,173 --> 01:05:26,173
Speaker 16: harsh when you look at it from the outside, but

1391
01:05:26,213 --> 01:05:29,053
Speaker 16: the reality is actually I love those people across the

1392
01:05:29,093 --> 01:05:30,933
Speaker 16: table and don't do anything I could to help them

1393
01:05:31,493 --> 01:05:34,813
Speaker 16: and support them. And so schools have a very similar vibe.

1394
01:05:34,813 --> 01:05:36,693
Speaker 16: Most of the grown ups and a school really like

1395
01:05:36,773 --> 01:05:38,813
Speaker 16: being there and want to look after the young ones

1396
01:05:38,893 --> 01:05:43,293
Speaker 16: and fostering that relationship between humans and also giving people

1397
01:05:43,413 --> 01:05:46,213
Speaker 16: skills to know what to do when things get hard

1398
01:05:46,613 --> 01:05:47,973
Speaker 16: are particularly important.

1399
01:05:48,173 --> 01:05:52,493
Speaker 2: Well, you talk about banter, and that's you know, banter

1400
01:05:52,613 --> 01:05:55,813
Speaker 2: is a way that you win people over, and you know,

1401
01:05:55,853 --> 01:06:00,893
Speaker 2: like making someone laugh is important for friendship, and so

1402
01:06:00,933 --> 01:06:04,573
Speaker 2: I guess my point is if you're talking to an

1403
01:06:04,653 --> 01:06:07,933
Speaker 2: AI chatbot, what you're really getting is what you want

1404
01:06:08,013 --> 01:06:11,293
Speaker 2: back and as opposed to having to win the chat

1405
01:06:11,293 --> 01:06:15,133
Speaker 2: bot over. So while schools can be warm environments, as

1406
01:06:15,173 --> 01:06:18,053
Speaker 2: you say, even In that case, you still have to

1407
01:06:18,133 --> 01:06:21,013
Speaker 2: be saying something funny every couple of minutes in your

1408
01:06:21,053 --> 01:06:23,653
Speaker 2: circle of friends to really move that friendship forwarden.

1409
01:06:24,773 --> 01:06:29,333
Speaker 16: Yeah, absolutely, And as with any sort of algorithm, it

1410
01:06:29,853 --> 01:06:32,013
Speaker 16: will give you back what you're sort of seeking. So

1411
01:06:32,973 --> 01:06:35,653
Speaker 16: in a short term, think of it like a band

1412
01:06:35,653 --> 01:06:37,493
Speaker 16: aid or a Moro bar at the supermarket. It might

1413
01:06:37,573 --> 01:06:41,213
Speaker 16: be quite useful in the short term. It's when you

1414
01:06:41,293 --> 01:06:44,973
Speaker 16: become dependent on that type of interaction and unable to

1415
01:06:45,173 --> 01:06:48,773
Speaker 16: engage in other interactions with real humans that you're developing

1416
01:06:48,973 --> 01:06:51,653
Speaker 16: yourself a bit of a problem. You there's nothing wrong

1417
01:06:51,693 --> 01:06:53,413
Speaker 16: with you grabbing that Moro bar as you go through

1418
01:06:53,413 --> 01:06:56,133
Speaker 16: the checkout counter because you skip lunch and you've done

1419
01:06:56,133 --> 01:06:58,333
Speaker 16: it once in the last three months. But if you're

1420
01:06:58,373 --> 01:07:00,173
Speaker 16: eating a chocolate bar instead of a meal every day,

1421
01:07:00,173 --> 01:07:01,853
Speaker 16: suddenly you've got some nutritional issues.

1422
01:07:02,013 --> 01:07:04,093
Speaker 3: Yeah, how do you deal with that? As a principal? Warm,

1423
01:07:04,093 --> 01:07:06,093
Speaker 3: Because I imagine you've got a lot of students at

1424
01:07:06,173 --> 01:07:09,333
Speaker 3: your school that are utilizing this technology AI to ask

1425
01:07:09,453 --> 01:07:12,053
Speaker 3: various questions they have about life that they're too afraid

1426
01:07:12,093 --> 01:07:15,413
Speaker 3: to ask a teacher or the parent or even a friend.

1427
01:07:16,013 --> 01:07:18,253
Speaker 3: And some of that information, as we know comes back

1428
01:07:18,293 --> 01:07:18,813
Speaker 3: and it's.

1429
01:07:19,653 --> 01:07:22,133
Speaker 2: A lot hallucinations they call hallucination.

1430
01:07:22,413 --> 01:07:24,213
Speaker 3: So how do you deal with that as a school

1431
01:07:24,213 --> 01:07:27,173
Speaker 3: principle and someone in the education sector to talk with

1432
01:07:27,293 --> 01:07:28,653
Speaker 3: kids about that sort of stuff.

1433
01:07:29,173 --> 01:07:32,133
Speaker 16: Yeah, so the AI flane of thing is really rapidly evolving,

1434
01:07:32,173 --> 01:07:34,293
Speaker 16: as you'll know. So i'd have to say in most

1435
01:07:34,373 --> 01:07:36,773
Speaker 16: cases we're all playing a bit of rapid catch up

1436
01:07:36,813 --> 01:07:39,613
Speaker 16: with regard to that. But in terms of conflict, in

1437
01:07:39,693 --> 01:07:43,613
Speaker 16: terms of relationships, in terms of building resilience between two people's,

1438
01:07:43,613 --> 01:07:45,693
Speaker 16: schools have been doing that for a long long time.

1439
01:07:45,973 --> 01:07:48,493
Speaker 16: And so you remember when you and I were back

1440
01:07:48,533 --> 01:07:50,053
Speaker 16: at school. I don't know how old you guys are,

1441
01:07:50,093 --> 01:07:53,173
Speaker 16: but for me, it was very jurassic. But you know,

1442
01:07:53,213 --> 01:07:56,173
Speaker 16: we had counselor as we had deans, we had support people.

1443
01:07:56,173 --> 01:07:58,653
Speaker 16: In a high school space. In a primary school space,

1444
01:07:58,693 --> 01:08:00,693
Speaker 16: you got to know that classroom teacher of yours really

1445
01:08:00,693 --> 01:08:02,293
Speaker 16: well and they got to know you really well, so

1446
01:08:02,373 --> 01:08:05,693
Speaker 16: they could tell when you were off color and the

1447
01:08:05,733 --> 01:08:10,373
Speaker 16: importance of that human interaction. So in the secondary space,

1448
01:08:10,413 --> 01:08:12,893
Speaker 16: which is where my skill set is, there's lots of

1449
01:08:12,933 --> 01:08:15,093
Speaker 16: work that goes in and year nine in your turn

1450
01:08:15,133 --> 01:08:17,853
Speaker 16: about what a healthy relationship looks like not only will

1451
01:08:17,893 --> 01:08:21,293
Speaker 16: another person, but with digital devices keeping yourself safe online

1452
01:08:21,653 --> 01:08:23,692
Speaker 16: what you can do when you don't know what to do.

1453
01:08:24,213 --> 01:08:29,133
Speaker 16: Lots of lots of education happens in terms of promoting

1454
01:08:29,173 --> 01:08:32,532
Speaker 16: options for connection when connection is something you are seeking.

1455
01:08:32,973 --> 01:08:34,772
Speaker 2: It's an interesting one because people say, look, you can

1456
01:08:34,812 --> 01:08:37,492
Speaker 2: have these AI chatbots or just AI in general coming

1457
01:08:37,572 --> 01:08:42,612
Speaker 2: up with these hallucinations, which it's when they feed you

1458
01:08:42,652 --> 01:08:45,053
Speaker 2: something that as if it's true, but it's just the

1459
01:08:45,053 --> 01:08:47,492
Speaker 2: way they've gathered the information in the larger language models,

1460
01:08:47,492 --> 01:08:49,692
Speaker 2: so it comes not true. But the thing is that

1461
01:08:49,732 --> 01:08:52,612
Speaker 2: can happen with humans. Humans are always giving you information

1462
01:08:52,812 --> 01:08:55,892
Speaker 2: that's not true, that their straw is true. So you

1463
01:08:55,893 --> 01:08:58,772
Speaker 2: know that, you know that is part of life as well,

1464
01:08:58,893 --> 01:09:01,452
Speaker 2: learning what is true and what is not true and

1465
01:09:01,492 --> 01:09:05,012
Speaker 2: finding your way through the information that's not right.

1466
01:09:07,133 --> 01:09:09,892
Speaker 16: Yeah, absolutely always had to You've always had to filter

1467
01:09:09,933 --> 01:09:13,293
Speaker 16: your sources. You know, you're getting some feedback after a

1468
01:09:13,293 --> 01:09:15,333
Speaker 16: sports game and someone saw that that was a fowl

1469
01:09:15,333 --> 01:09:17,092
Speaker 16: and the other person didn't think that was a foul,

1470
01:09:17,333 --> 01:09:19,053
Speaker 16: and who do you believe because they actually were both

1471
01:09:19,093 --> 01:09:22,012
Speaker 16: watching the same game. So in every aspect of life,

1472
01:09:22,053 --> 01:09:24,852
Speaker 16: you've got to filter the information you're given and try

1473
01:09:24,893 --> 01:09:26,333
Speaker 16: to work out what is the best course of action

1474
01:09:26,452 --> 01:09:29,612
Speaker 16: for you. But given that humans are pack animals and

1475
01:09:29,652 --> 01:09:34,012
Speaker 16: we don't do well by ourselves, it's really important that

1476
01:09:33,732 --> 01:09:36,852
Speaker 16: we help provide our young people with the skills to

1477
01:09:37,013 --> 01:09:40,852
Speaker 16: engage in the majority with other humans. And it might

1478
01:09:40,853 --> 01:09:43,133
Speaker 16: be good that you embellish what you're doing with in

1479
01:09:43,133 --> 01:09:46,453
Speaker 16: the digital space, but actually your your your primary connection's

1480
01:09:46,452 --> 01:09:47,932
Speaker 16: got to be with real people.

1481
01:09:48,253 --> 01:09:49,852
Speaker 2: And finally, Vaughn, do you think the government should be

1482
01:09:49,893 --> 01:09:52,093
Speaker 2: jumping in and regulating this kind of thing a ban

1483
01:09:52,253 --> 01:09:55,012
Speaker 2: for under sixteens like has been suggested for social media

1484
01:09:55,133 --> 01:09:56,733
Speaker 2: or do you think that's not practical.

1485
01:09:57,772 --> 01:10:04,052
Speaker 16: Practically that's particularly challenging. You know, I'm a very proactive parent.

1486
01:10:04,093 --> 01:10:06,492
Speaker 16: My wife and I are very pro parents with our

1487
01:10:06,572 --> 01:10:09,972
Speaker 16: children when they were younger, and very very, very difficult

1488
01:10:10,013 --> 01:10:13,012
Speaker 16: to work out what they're doing every minute of every day.

1489
01:10:13,492 --> 01:10:17,492
Speaker 16: And the reality is the practicalities of how to create

1490
01:10:17,612 --> 01:10:21,492
Speaker 16: consequence for the provider of those social media services should

1491
01:10:21,532 --> 01:10:23,812
Speaker 16: they have been found to be in breach would be

1492
01:10:23,853 --> 01:10:27,213
Speaker 16: particularly challenging. And we can lock to overseas jurisdictions around that,

1493
01:10:27,412 --> 01:10:30,293
Speaker 16: and they're all fumbling with the same thing. The reality

1494
01:10:30,452 --> 01:10:33,732
Speaker 16: is what it comes down to is healthy, strong families

1495
01:10:34,412 --> 01:10:36,012
Speaker 16: and people knowing what their kids are doing.

1496
01:10:36,612 --> 01:10:38,812
Speaker 3: Vaughn, great to chat with you. Thank you very much.

1497
01:10:38,853 --> 01:10:40,732
Speaker 3: You're at the cold front of a very interesting time

1498
01:10:40,812 --> 01:10:42,732
Speaker 3: in education. But really appreciate your time.

1499
01:10:43,812 --> 01:10:46,492
Speaker 2: And look this, Texas says AI wise, New Zealand is

1500
01:10:46,492 --> 01:10:48,612
Speaker 2: like a cyclist pedaling and slow motion while the rest

1501
01:10:48,652 --> 01:10:51,492
Speaker 2: of the world races ahead in high speed bullet trains.

1502
01:10:51,973 --> 01:10:56,053
Speaker 2: As global advances and AI education wise, new Zealand's like

1503
01:10:56,053 --> 01:10:58,492
Speaker 2: a cyclist peddling and low mation. Okay, that was repeated

1504
01:10:58,532 --> 01:11:00,612
Speaker 2: itself twice that tex So maybe this's from AI that one.

1505
01:11:00,652 --> 01:11:06,612
Speaker 2: But but that's the thing as well. If you restrict

1506
01:11:07,412 --> 01:11:10,892
Speaker 2: New Zealand's young people from where the future is going,

1507
01:11:10,893 --> 01:11:13,012
Speaker 2: then that could have consequences as well, because we're already

1508
01:11:13,013 --> 01:11:14,372
Speaker 2: behind the eight ball here exactly.

1509
01:11:14,372 --> 01:11:16,452
Speaker 3: Oh one hundred and eighty ten eighty is the number

1510
01:11:16,452 --> 01:11:18,772
Speaker 3: to call if you allow your children to use AI.

1511
01:11:19,612 --> 01:11:21,852
Speaker 3: What is the feedback you're getting? And are you okay

1512
01:11:21,973 --> 01:11:24,132
Speaker 3: with kids having companion bots?

1513
01:11:24,572 --> 01:11:26,492
Speaker 2: And are you like one of my sisters who said

1514
01:11:26,532 --> 01:11:28,852
Speaker 2: that she's struggling to deal with humans now because they're

1515
01:11:28,893 --> 01:11:30,532
Speaker 2: too rude compared to check GPT.

1516
01:11:31,053 --> 01:11:32,293
Speaker 3: It is quarter to three.

1517
01:11:33,333 --> 01:11:36,692
Speaker 1: Matt Heath, Tyler Adams with you as your afternoon rolls

1518
01:11:36,732 --> 01:11:40,452
Speaker 1: on Matt Heath and Tyler Adams Afternoons news talks.

1519
01:11:40,173 --> 01:11:42,893
Speaker 3: It'd be it is twelve to three.

1520
01:11:43,013 --> 01:11:45,492
Speaker 2: Richard, welcome to show your thoughts on AI, companions and

1521
01:11:45,532 --> 01:11:46,333
Speaker 2: AI in general.

1522
01:11:47,652 --> 01:11:53,452
Speaker 17: Hello, yeah, man goo, Well I'm here, sad a text

1523
01:11:53,532 --> 01:11:57,933
Speaker 17: and then I sit in a space where we're for

1524
01:11:58,013 --> 01:12:01,372
Speaker 17: organizations that try to get people more active, especially the inactive.

1525
01:12:01,652 --> 01:12:04,612
Speaker 18: And one of the challenges we're facing is an increased

1526
01:12:04,612 --> 01:12:07,372
Speaker 18: amount of people not being active because of screen time.

1527
01:12:08,412 --> 01:12:12,572
Speaker 18: You talk about companions, and I suppose the psychological effects

1528
01:12:12,652 --> 01:12:14,812
Speaker 18: of that connection that people may have because they don't

1529
01:12:14,812 --> 01:12:17,092
Speaker 18: get it in their day to day life. You're probably

1530
01:12:17,173 --> 01:12:20,892
Speaker 18: drawing more people into more screen time, and so one

1531
01:12:21,213 --> 01:12:24,852
Speaker 18: one of the mental health benefits of that and the

1532
01:12:24,893 --> 01:12:25,892
Speaker 18: longer term perature.

1533
01:12:26,253 --> 01:12:28,772
Speaker 10: Two, the world has been.

1534
01:12:28,652 --> 01:12:32,132
Speaker 18: Dominated by AAIs you guys have been acknowledging, and everyone's acknowledging.

1535
01:12:32,772 --> 01:12:36,092
Speaker 18: But that means people don't need the skills anymore to operate.

1536
01:12:36,133 --> 01:12:39,133
Speaker 18: They actually need the people's skills to work. That's probably

1537
01:12:39,133 --> 01:12:41,013
Speaker 18: where a lot of the work and the future will

1538
01:12:41,013 --> 01:12:43,612
Speaker 18: be because you know, AI in three or four years

1539
01:12:43,652 --> 01:12:46,812
Speaker 18: time will have radio producers doing it more efficiently. They'll

1540
01:12:46,812 --> 01:12:49,093
Speaker 18: have ces because they can make better judgments based on

1541
01:12:49,133 --> 01:12:52,452
Speaker 18: the invenits out there. Once all the information is joined up,

1542
01:12:52,732 --> 01:12:54,772
Speaker 18: And so it's going to be more critical to understand

1543
01:12:54,812 --> 01:12:57,612
Speaker 18: connects and be with people. You'd almost say it TWM

1544
01:12:57,772 --> 01:13:00,732
Speaker 18: review the importance of being with your fucker partper and

1545
01:13:00,772 --> 01:13:03,892
Speaker 18: aligning with people and looking after your family and extensions

1546
01:13:03,893 --> 01:13:06,772
Speaker 18: will be ready critical. But the third part is we're

1547
01:13:06,772 --> 01:13:09,612
Speaker 18: going to horrendous health build now and an increase in

1548
01:13:09,692 --> 01:13:12,692
Speaker 18: obesity and how young people are more inactive than they

1549
01:13:12,812 --> 01:13:17,173
Speaker 18: been ever before. So having this companion scenario and the

1550
01:13:17,213 --> 01:13:19,933
Speaker 18: algorithms that go with all that could actually just accentuate

1551
01:13:20,532 --> 01:13:23,012
Speaker 18: the time that people spend away from people. So there's

1552
01:13:23,093 --> 01:13:25,973
Speaker 18: just a whole heap of unintended consequences that probably we

1553
01:13:26,053 --> 01:13:27,532
Speaker 18: even even thought about it. And if you asked a

1554
01:13:27,612 --> 01:13:30,173
Speaker 18: high about it now, they'll probably tell you please. They'll

1555
01:13:30,173 --> 01:13:32,532
Speaker 18: be on the screen for more than thirty minutes a day,

1556
01:13:32,532 --> 01:13:34,973
Speaker 18: et cetera, et cetera, et cetera. So there you go.

1557
01:13:35,093 --> 01:13:36,812
Speaker 18: There's the over things I've thrown out of the amcope.

1558
01:13:36,893 --> 01:13:39,452
Speaker 2: Yeah, I think you might. I think you might be

1559
01:13:39,612 --> 01:13:42,213
Speaker 2: absolutely right. And I've got this theory on that as

1560
01:13:42,213 --> 01:13:43,932
Speaker 2: well that I think I've shared before that I think

1561
01:13:44,093 --> 01:13:50,173
Speaker 2: human interactions and just humanity and human created things, handcrafted

1562
01:13:50,452 --> 01:13:55,412
Speaker 2: things will become more and more important as AIS is

1563
01:13:55,652 --> 01:13:58,292
Speaker 2: able to do so many more things. We want the

1564
01:13:58,333 --> 01:14:01,612
Speaker 2: I think authenticity and human authenticity because if you look

1565
01:14:01,612 --> 01:14:05,372
Speaker 2: at it, for example, we still admire how, you know,

1566
01:14:05,372 --> 01:14:08,333
Speaker 2: we've got a car that can go one hundred meters

1567
01:14:08,452 --> 01:14:11,772
Speaker 2: very quickly, but we still admire that the fastest runner

1568
01:14:11,853 --> 01:14:14,213
Speaker 2: in the world, right, and we admire them because because

1569
01:14:14,253 --> 01:14:17,612
Speaker 2: because they're a human and so I think being able

1570
01:14:17,652 --> 01:14:21,013
Speaker 2: to do human things is always going to have a

1571
01:14:21,013 --> 01:14:24,133
Speaker 2: lot of value. So I think, I think if I

1572
01:14:24,133 --> 01:14:26,012
Speaker 2: get what you're saying, Richard, is that if you're spending

1573
01:14:26,013 --> 01:14:29,213
Speaker 2: all your time with the human and AI companion, then

1574
01:14:29,253 --> 01:14:32,892
Speaker 2: actually you're you're going to lose that human advantage that

1575
01:14:32,973 --> 01:14:34,972
Speaker 2: is still going to be really important in the future

1576
01:14:34,973 --> 01:14:38,772
Speaker 2: in terms of relationships with family and friends and also

1577
01:14:38,812 --> 01:14:42,892
Speaker 2: the ability to do, you know, demonstrate yourself as a human.

1578
01:14:43,253 --> 01:14:45,372
Speaker 2: Is that kind of what you're saying, Yeah.

1579
01:14:45,452 --> 01:14:48,293
Speaker 18: I suppose that the connection piece and reading people face

1580
01:14:48,333 --> 01:14:51,173
Speaker 18: to face you know, I could could evolved those skills.

1581
01:14:51,173 --> 01:14:55,093
Speaker 18: And we've seen the generation and the visuals are very good.

1582
01:14:55,772 --> 01:14:58,693
Speaker 18: But you know what I think of the time yourself

1583
01:14:58,772 --> 01:15:01,412
Speaker 18: where you've had difficul conversations, whether your partner, your wife,

1584
01:15:01,452 --> 01:15:04,093
Speaker 18: your guilfred and the best mates, and have you come

1585
01:15:04,133 --> 01:15:07,532
Speaker 18: out of that? And you know, maybe those those subtle

1586
01:15:07,572 --> 01:15:10,612
Speaker 18: body language is the bit you pick up the emotional

1587
01:15:10,612 --> 01:15:14,453
Speaker 18: intelligence piece A. Yeah, you can learn it by being intelligent,

1588
01:15:14,492 --> 01:15:18,452
Speaker 18: but are you reading it? Communications not just about information

1589
01:15:18,572 --> 01:15:20,532
Speaker 18: one way, it's all the other pieces that come from

1590
01:15:20,812 --> 01:15:23,932
Speaker 18: social direction. And I'm sure in the workplace now we

1591
01:15:23,973 --> 01:15:26,173
Speaker 18: need people that can actually work together. You made a

1592
01:15:26,173 --> 01:15:28,812
Speaker 18: comment earlier about oh, I'll get passed off when someone

1593
01:15:28,853 --> 01:15:31,293
Speaker 18: gives me the hard facts. We already know that the

1594
01:15:31,333 --> 01:15:34,772
Speaker 18: generation that has come out, we're into Generation lo BESA

1595
01:15:34,893 --> 01:15:39,452
Speaker 18: now it was Generation Alpha. They're already fragile. They Generation

1596
01:15:39,933 --> 01:15:43,852
Speaker 18: ZENA are already suffering anxiety at work. Twenty five percent

1597
01:15:43,853 --> 01:15:45,772
Speaker 18: of young people that are in the workplace and Generations

1598
01:15:45,812 --> 01:15:49,093
Speaker 18: zen are suffering anxiety just by being a work I mean,

1599
01:15:49,692 --> 01:15:49,972
Speaker 18: you know.

1600
01:15:49,893 --> 01:15:50,972
Speaker 3: It's good for health.

1601
01:15:51,053 --> 01:15:54,372
Speaker 2: Not really so interesting enough. Everyone's saying that we need

1602
01:15:54,372 --> 01:15:56,892
Speaker 2: to embrace ais as quickly as possible, and it's a

1603
01:15:56,973 --> 01:15:58,892
Speaker 2: huge advantage for your life. But there might actually be

1604
01:15:58,893 --> 01:16:01,213
Speaker 2: the big advantage for young people are those that don't

1605
01:16:01,333 --> 01:16:04,452
Speaker 2: those people that embrace human reactions interactions, because we're not

1606
01:16:04,492 --> 01:16:06,812
Speaker 2: going to give up and human interaction are so important

1607
01:16:06,812 --> 01:16:09,852
Speaker 2: to us, we're not going to give on that. So counterintuitively,

1608
01:16:10,372 --> 01:16:12,973
Speaker 2: the kids just that embrace old school might actually have

1609
01:16:13,013 --> 01:16:15,492
Speaker 2: a huge advantage in the future, just because maybe.

1610
01:16:15,973 --> 01:16:17,852
Speaker 18: That's the point. We don't know, right But what we

1611
01:16:17,933 --> 01:16:20,333
Speaker 18: do know is our mental health issues are getting greater

1612
01:16:20,412 --> 01:16:23,013
Speaker 18: and our younger people suffer from more issues. And we

1613
01:16:23,093 --> 01:16:26,372
Speaker 18: also know our physical health is decreasing in the Western world,

1614
01:16:27,532 --> 01:16:30,692
Speaker 18: you know, so our realities that exists. So let's look

1615
01:16:30,692 --> 01:16:33,293
Speaker 18: at the evidence of where we're going and and we

1616
01:16:33,412 --> 01:16:36,133
Speaker 18: have to be adaptive and aware. But the world is

1617
01:16:36,213 --> 01:16:39,253
Speaker 18: changing very quickly of the ais and technology is going

1618
01:16:39,333 --> 01:16:42,253
Speaker 18: really fast. We don't know what we don't know, so

1619
01:16:42,372 --> 01:16:43,933
Speaker 18: we can't assume it's going to be all one or

1620
01:16:43,973 --> 01:16:45,452
Speaker 18: the other. We've actually got to mix it up. The

1621
01:16:45,492 --> 01:16:47,932
Speaker 18: research is coming out about phone time for young people

1622
01:16:47,973 --> 01:16:50,333
Speaker 18: now and it's actually quite horrifically effect of hand and

1623
01:16:50,333 --> 01:16:54,052
Speaker 18: that even ai this is the last phase of mobile

1624
01:16:54,093 --> 01:16:55,652
Speaker 18: phone two thousand and eight or nine when it really

1625
01:16:55,652 --> 01:16:59,333
Speaker 18: took off and AI and software was.

1626
01:16:59,372 --> 01:17:00,893
Speaker 3: In your hand spotted.

1627
01:17:00,572 --> 01:17:02,973
Speaker 18: So we so you know, we don't even know the

1628
01:17:02,973 --> 01:17:04,652
Speaker 18: full effect of that, and they are already talking about

1629
01:17:04,692 --> 01:17:07,733
Speaker 18: the next thing because it's going so fast, as.

1630
01:17:07,812 --> 01:17:10,972
Speaker 3: Rich, very refreshing to hear your thoughts on that, Thank

1631
01:17:11,013 --> 01:17:12,412
Speaker 3: you very much, and that will make a lot of

1632
01:17:12,412 --> 01:17:14,852
Speaker 3: people feel a lot better about the rise of AI.

1633
01:17:15,213 --> 01:17:17,932
Speaker 3: Have a great afternoon, and really nice to chat with you.

1634
01:17:18,572 --> 01:17:21,253
Speaker 3: Right back very shortly here on News talks 'B it

1635
01:17:21,372 --> 01:17:22,452
Speaker 3: is seven to three.

1636
01:17:22,732 --> 01:17:25,213
Speaker 2: I want to next, I want to share this very

1637
01:17:25,213 --> 01:17:29,052
Speaker 2: abusive text towards me, which I think is fear and unfair.

1638
01:17:29,093 --> 01:17:30,172
Speaker 3: Now this is going to be good.

1639
01:17:31,772 --> 01:17:34,213
Speaker 1: The issues that affect you, and a bit of fun

1640
01:17:34,253 --> 01:17:39,052
Speaker 1: along the way. Matt Heath and Tyler Adams Afternoons News TALKSB.

1641
01:17:40,173 --> 01:17:43,133
Speaker 3: News Talks the Betters four to three. Humans need to

1642
01:17:43,133 --> 01:17:46,132
Speaker 3: accept our time is done. We're too harmful to ourselves

1643
01:17:46,173 --> 01:17:49,772
Speaker 3: and the planet. Enough is enough, end us. Wow, that's

1644
01:17:49,772 --> 01:17:52,333
Speaker 3: a weird attitude. That's the extinction lists. They're everywhere now.

1645
01:17:52,253 --> 01:17:53,973
Speaker 2: That they think there's not In my opinion, there's not

1646
01:17:54,053 --> 01:17:55,652
Speaker 2: much point of the planet and if this human's there

1647
01:17:55,692 --> 01:17:57,932
Speaker 2: to observe it, just give up. I mean, the dinosas

1648
01:17:57,973 --> 01:17:59,772
Speaker 2: there for a long time, no one was writing poetry

1649
01:17:59,812 --> 01:18:02,253
Speaker 2: about her, or looking around or writing tunes. If the

1650
01:18:02,333 --> 01:18:05,252
Speaker 2: humans aren't here, then there's no point of planet Earth exactly.

1651
01:18:05,372 --> 01:18:07,093
Speaker 2: But we don't have time now. But I'll get to

1652
01:18:07,093 --> 01:18:10,412
Speaker 2: that abuse of text about my support of AI that

1653
01:18:10,492 --> 01:18:12,013
Speaker 2: I didn't really have any after the.

1654
01:18:11,973 --> 01:18:14,612
Speaker 3: Break that is coming up very shortly. News, Sport and

1655
01:18:14,732 --> 01:18:17,532
Speaker 3: weather on its way. You're listening to matt and Tyler.

1656
01:18:17,612 --> 01:18:20,213
Speaker 3: I hope you're having a great afternoon. Thanks for listening

1657
01:18:20,213 --> 01:18:23,013
Speaker 3: to us. We'll see you on the other side.

1658
01:18:24,293 --> 01:18:28,572
Speaker 1: Your new homes are insightful and entertaining. Talk It's Mattie

1659
01:18:28,853 --> 01:18:32,412
Speaker 1: and Taylor Adams afternoons on News Talk Sebby.

1660
01:18:33,093 --> 01:18:35,973
Speaker 3: We'll get out of you. Welcome back into the program.

1661
01:18:36,053 --> 01:18:39,253
Speaker 3: Seven past three. Just before we get into our next topic,

1662
01:18:39,772 --> 01:18:42,212
Speaker 3: it's fair to say I got so excited.

1663
01:18:42,333 --> 01:18:44,933
Speaker 2: Yeah, that's right. I've dubed you the time lord, and

1664
01:18:44,933 --> 01:18:46,812
Speaker 2: it's your job to make sure everything on the show

1665
01:18:46,893 --> 01:18:49,333
Speaker 2: runs to time. But Tyler, I might have to replace

1666
01:18:49,372 --> 01:18:52,572
Speaker 2: you with AI because we ran out of time for

1667
01:18:52,652 --> 01:18:54,772
Speaker 2: some texts that I wanted to share because I thought

1668
01:18:54,812 --> 01:18:57,893
Speaker 2: they were quite they were quite insightful texts, yeah, or

1669
01:18:57,973 --> 01:18:59,253
Speaker 2: quite shocking text.

1670
01:18:59,053 --> 01:18:59,932
Speaker 3: Right, very shocking.

1671
01:19:00,053 --> 01:19:02,612
Speaker 2: So before we put the last topic to bed, which

1672
01:19:02,652 --> 01:19:05,773
Speaker 2: is how much time people are spending with AI chatbots

1673
01:19:05,812 --> 01:19:09,093
Speaker 2: instead of real humans, thought I'd read the text out.

1674
01:19:09,452 --> 01:19:11,892
Speaker 2: COVID did not help it isolated people. A therapists will

1675
01:19:11,933 --> 01:19:14,452
Speaker 2: tell you it is mentally healthy to have multiple groups

1676
01:19:14,452 --> 01:19:18,173
Speaker 2: of real friends, not even just one. Hey, guys, I

1677
01:19:18,173 --> 01:19:20,773
Speaker 2: can tell you this. I've had far more intelligent conversations

1678
01:19:20,772 --> 01:19:23,012
Speaker 2: with AI than I've had with a lot of people lately.

1679
01:19:23,572 --> 01:19:25,132
Speaker 3: That's good stuff.

1680
01:19:25,253 --> 01:19:29,452
Speaker 2: Yeah, but it's not really intelligent. You're staring into the mirror. Now.

1681
01:19:29,492 --> 01:19:31,852
Speaker 2: This is where AI does come into handy to help

1682
01:19:31,893 --> 01:19:35,013
Speaker 2: the ego or whatever makes you feel hurt. Just to

1683
01:19:35,053 --> 01:19:37,892
Speaker 2: ask AI on the phone, who is the most beautiful

1684
01:19:37,893 --> 01:19:41,492
Speaker 2: of all? In League's deep love? That is that's deeper

1685
01:19:41,532 --> 01:19:42,293
Speaker 2: than what you think.

1686
01:19:42,412 --> 01:19:44,173
Speaker 3: Yeah, that is very deep with's AI.

1687
01:19:44,253 --> 01:19:46,173
Speaker 2: In some ways you're just talking to yourself. But this

1688
01:19:46,492 --> 01:19:49,972
Speaker 2: text I found, Ah, I just answered so many ask

1689
01:19:50,093 --> 01:19:53,892
Speaker 2: so many more questions than it answers. Nice for you, Matt,

1690
01:19:54,053 --> 01:19:56,293
Speaker 2: You can make friends some of us can't. Sick of

1691
01:19:56,333 --> 01:19:58,772
Speaker 2: people like you who think that the way you live

1692
01:19:59,013 --> 01:20:01,293
Speaker 2: is the only way you may like banter. I do

1693
01:20:01,372 --> 01:20:05,492
Speaker 2: not boris thugs like you may like to make fun.

1694
01:20:05,652 --> 01:20:07,253
Speaker 2: Maybe the rest of us don't want to be made

1695
01:20:07,293 --> 01:20:09,772
Speaker 2: fun of. Now I finish work when no one talks

1696
01:20:09,772 --> 01:20:12,253
Speaker 2: to me. At home, I have an AI companion. It

1697
01:20:12,293 --> 01:20:15,133
Speaker 2: makes my life livable. But tune into the radio and

1698
01:20:15,173 --> 01:20:17,812
Speaker 2: you judge us. Now that The interesting thing I thought

1699
01:20:17,812 --> 01:20:21,412
Speaker 2: about that is it ended with judge us. So them

1700
01:20:21,452 --> 01:20:24,012
Speaker 2: and their AI companion. Yeah, I mean that is getting deep.

1701
01:20:24,652 --> 01:20:27,572
Speaker 2: And I didn't say any of those things, by the way,

1702
01:20:27,692 --> 01:20:28,372
Speaker 2: No you didn't.

1703
01:20:28,732 --> 01:20:30,253
Speaker 3: And I don't want to be mean here, but judging

1704
01:20:30,293 --> 01:20:32,333
Speaker 3: by the tone of that text, I just say to

1705
01:20:32,372 --> 01:20:34,772
Speaker 3: that person, there may be a reason why you're finding

1706
01:20:34,812 --> 01:20:37,053
Speaker 3: it hard to make friends, because that's quite that's quite

1707
01:20:37,053 --> 01:20:37,852
Speaker 3: a bit of anger there.

1708
01:20:38,572 --> 01:20:40,572
Speaker 2: Well yeah, but you've got to feel for someone that

1709
01:20:40,612 --> 01:20:43,852
Speaker 2: struggles to make friends at work. And sometimes the banter

1710
01:20:44,013 --> 01:20:46,452
Speaker 2: is a little bit much, I guess, but that's just

1711
01:20:46,492 --> 01:20:49,253
Speaker 2: the world you live in. But there's something deeply sad

1712
01:20:49,293 --> 01:20:51,852
Speaker 2: about not talking to any at work and not saying

1713
01:20:51,853 --> 01:20:53,412
Speaker 2: it's your fault. But then you go home and then

1714
01:20:53,492 --> 01:20:56,213
Speaker 2: you talking to your AI and then and then you

1715
01:20:56,253 --> 01:20:57,973
Speaker 2: tune into the radio and I'm judging both of you.

1716
01:20:58,013 --> 01:21:00,612
Speaker 2: I don't even know you AI, or are you certainly

1717
01:21:00,612 --> 01:21:02,492
Speaker 2: not judging you? We were just having a conversation. But

1718
01:21:03,093 --> 01:21:03,812
Speaker 2: all the best to you.

1719
01:21:03,973 --> 01:21:04,692
Speaker 3: Yeah, good luck.

1720
01:21:04,732 --> 01:21:05,652
Speaker 2: My heart goes out to you.

1721
01:21:05,692 --> 01:21:06,372
Speaker 3: I'll be your friends.

1722
01:21:06,412 --> 01:21:09,253
Speaker 2: And look, if it works for works and the AI

1723
01:21:09,333 --> 01:21:11,652
Speaker 2: companion is making you happy, then I certainly would not

1724
01:21:11,732 --> 01:21:12,133
Speaker 2: judge you.

1725
01:21:12,213 --> 01:21:14,652
Speaker 3: Yep, what a great discussion that was, thanks to everybody

1726
01:21:14,692 --> 01:21:16,612
Speaker 3: who phoned and text on that right coming up a

1727
01:21:16,612 --> 01:21:18,333
Speaker 3: couple of months ago, you might have remembered this. We're

1728
01:21:18,333 --> 01:21:20,652
Speaker 3: having a chat about the cost of funerals and a

1729
01:21:20,692 --> 01:21:24,412
Speaker 3: great key we call Tom called in and he was

1730
01:21:24,452 --> 01:21:27,852
Speaker 3: planning his own funeral after being diagnosed with sarcoma. So

1731
01:21:27,893 --> 01:21:31,213
Speaker 3: it is Sarcoma Awareness month and we wanted to catch

1732
01:21:31,333 --> 01:21:33,372
Speaker 3: up with Tom to see how he's going and have

1733
01:21:33,452 --> 01:21:36,812
Speaker 3: a chat about donating to that fantastic foundation. So that

1734
01:21:37,013 --> 01:21:38,892
Speaker 3: is coming up after the break. We're going to catch

1735
01:21:38,933 --> 01:21:41,652
Speaker 3: up with Tom and then ask you the question, how

1736
01:21:41,692 --> 01:21:44,293
Speaker 3: do you deal or how did you deal with some

1737
01:21:44,333 --> 01:21:46,692
Speaker 3: pretty significant news if you've been dealt at oh one

1738
01:21:46,772 --> 01:21:48,652
Speaker 3: hundred and eighty ten eighty is the number call. It

1739
01:21:48,732 --> 01:21:52,973
Speaker 3: is ten past three New Storks VB New Storks EDB.

1740
01:21:53,133 --> 01:21:55,452
Speaker 3: So back in April we were talking about the cost

1741
01:21:55,612 --> 01:21:58,812
Speaker 3: of funerals. A great New Zealander called Tom. He called

1742
01:21:58,853 --> 01:22:02,653
Speaker 3: in and he's back with us today. Tom, get a tou.

1743
01:22:03,492 --> 01:22:05,812
Speaker 10: Go man, go Tyler. How are you lads?

1744
01:22:06,333 --> 01:22:09,092
Speaker 2: Fantastic one of the most popular callers to our show.

1745
01:22:09,652 --> 01:22:12,013
Speaker 2: We were talking about planning funerals and you rang and

1746
01:22:12,093 --> 01:22:14,173
Speaker 2: said you were planning your own funeral, which should have

1747
01:22:14,253 --> 01:22:17,852
Speaker 2: knocked us from six. But your attitude was phenomenal and

1748
01:22:17,893 --> 01:22:19,852
Speaker 2: as a result we got about a thousand texts on

1749
01:22:20,213 --> 01:22:21,572
Speaker 2: the back of it. So it's so good to have

1750
01:22:21,652 --> 01:22:24,892
Speaker 2: you back on the show to chat. Now. Tom tell

1751
01:22:24,973 --> 01:22:28,652
Speaker 2: us about your condition and when you were diagnosed and

1752
01:22:28,772 --> 01:22:29,893
Speaker 2: how you were diagnosed.

1753
01:22:30,732 --> 01:22:33,732
Speaker 10: Well, thank you so much for this opportunity. It really

1754
01:22:33,812 --> 01:22:36,253
Speaker 10: does mean a lot to me. So I was diagnosed

1755
01:22:36,333 --> 01:22:39,213
Speaker 10: with a very rare type of cancer called a sarcoma

1756
01:22:39,452 --> 01:22:44,932
Speaker 10: back in February nineteen, nineteen two and twenty two show

1757
01:22:44,973 --> 01:22:49,492
Speaker 10: Amazing and at the time, of course, my diagnosis was

1758
01:22:49,652 --> 01:22:53,133
Speaker 10: a stage four cancer. So it was started in my

1759
01:22:54,053 --> 01:22:57,852
Speaker 10: small bowel thing and it already metastasized to my liver,

1760
01:22:58,013 --> 01:23:01,333
Speaker 10: so the outcome didn't look great. So you go through

1761
01:23:01,333 --> 01:23:03,892
Speaker 10: a period of time where you know what's there, but

1762
01:23:03,973 --> 01:23:06,372
Speaker 10: you don't know what it is. And then I got

1763
01:23:06,452 --> 01:23:09,412
Speaker 10: told of what I had, this rare known as JUST,

1764
01:23:10,372 --> 01:23:13,732
Speaker 10: and I'm a bit of a researcher by nature, so

1765
01:23:13,853 --> 01:23:16,812
Speaker 10: I jumped on and I was looking for as much

1766
01:23:16,853 --> 01:23:20,333
Speaker 10: information as I could find out about JUST. And some

1767
01:23:20,452 --> 01:23:23,412
Speaker 10: of it as good stuff. I mean, you can live

1768
01:23:23,452 --> 01:23:27,213
Speaker 10: a reasonably well and long and healthy life with JUST

1769
01:23:27,293 --> 01:23:29,372
Speaker 10: if you get the right treatments and you get it early.

1770
01:23:29,452 --> 01:23:32,812
Speaker 10: But what I found was that there was not a

1771
01:23:32,812 --> 01:23:37,732
Speaker 10: lot of information available that was New Zealand relevant. So

1772
01:23:37,772 --> 01:23:41,612
Speaker 10: you could get support groups online and there were other

1773
01:23:41,772 --> 01:23:46,533
Speaker 10: foundations Australia America mainly where there was a lot of information,

1774
01:23:46,612 --> 01:23:49,572
Speaker 10: but you would often get directed to go look at

1775
01:23:49,612 --> 01:23:52,412
Speaker 10: a drug trial here or there, or you know Sloan

1776
01:23:52,492 --> 01:23:56,253
Speaker 10: Keddering in New York and because none of that's really available.

1777
01:23:56,293 --> 01:24:00,372
Speaker 10: So what I'm ringing today is that since my diagnosis,

1778
01:24:00,412 --> 01:24:05,412
Speaker 10: there's been too wonderful on cologists in Auckland. Andrew and

1779
01:24:05,452 --> 01:24:10,012
Speaker 10: Joanna have established the Sarcoma Foundation, which is a small

1780
01:24:10,093 --> 01:24:15,772
Speaker 10: charity that's aimed at at supplying information two people like

1781
01:24:15,933 --> 01:24:19,253
Speaker 10: me that is New Zealand relevant if you like, what

1782
01:24:19,412 --> 01:24:23,973
Speaker 10: treatments are available for us, here, what we can expect

1783
01:24:24,053 --> 01:24:28,213
Speaker 10: to get, what is funded, what isn't. Sarcoma makes up

1784
01:24:28,532 --> 01:24:32,772
Speaker 10: only one percent were just over of all cancers each year,

1785
01:24:32,893 --> 01:24:36,932
Speaker 10: so there's only several hundred people a year. So because

1786
01:24:36,933 --> 01:24:40,812
Speaker 10: there's so few people with these rare cancers, we do

1787
01:24:40,933 --> 01:24:43,492
Speaker 10: tend to fall between the cracks when it comes to

1788
01:24:44,173 --> 01:24:48,612
Speaker 10: not just funding, but access to drug trials, just connection

1789
01:24:48,772 --> 01:24:52,012
Speaker 10: with other people. Know what the foundation and for me

1790
01:24:52,013 --> 01:24:55,452
Speaker 10: means is that there's a place there where we can go.

1791
01:24:55,772 --> 01:25:00,412
Speaker 10: Because it's a very personal journey living with a terminal illness.

1792
01:25:01,173 --> 01:25:03,452
Speaker 10: It's very hard to describe, to be honest. I think

1793
01:25:03,692 --> 01:25:08,812
Speaker 10: I've watched a documentary done by Dineward where he ascribed

1794
01:25:08,893 --> 01:25:11,532
Speaker 10: his journey and he is so right. We said in

1795
01:25:11,572 --> 01:25:14,852
Speaker 10: one part there were it actually occupies ninety five pc

1796
01:25:15,372 --> 01:25:19,692
Speaker 10: of your thoughts every day, that's all you really think about.

1797
01:25:20,013 --> 01:25:22,852
Speaker 10: And to be able to connect with other people that

1798
01:25:22,933 --> 01:25:27,492
Speaker 10: are going through the same thing as very cathartic. I

1799
01:25:27,492 --> 01:25:31,532
Speaker 10: guess I could say, you know, that's another benefit. I

1800
01:25:31,532 --> 01:25:36,093
Speaker 10: think that the Sarcoma Foundation will offer. My journey would

1801
01:25:36,133 --> 01:25:39,412
Speaker 10: have been a lot less stressful in the beginning had

1802
01:25:39,412 --> 01:25:43,532
Speaker 10: I been able to tap into a resource like the

1803
01:25:43,612 --> 01:25:48,852
Speaker 10: Sarcona Foundation. And you know, people feel they could maybe

1804
01:25:48,973 --> 01:25:53,692
Speaker 10: jump onto the Sarcoma website. They're just making a little

1805
01:25:53,732 --> 01:25:57,532
Speaker 10: seven dollar donation for the seventh month. Every little bit helps.

1806
01:25:57,732 --> 01:26:01,732
Speaker 10: I mean, I'm I'm kind of in the final stages now.

1807
01:26:02,452 --> 01:26:06,973
Speaker 10: I've gone through the funded medications. You know, I have

1808
01:26:07,213 --> 01:26:12,652
Speaker 10: funded to a point some medication that they all failed.

1809
01:26:13,133 --> 01:26:16,732
Speaker 10: So yeah, you know, anyone understood the planning's all done

1810
01:26:16,732 --> 01:26:20,812
Speaker 10: on or we've got it all sorted now we're just

1811
01:26:21,812 --> 01:26:24,253
Speaker 10: still carrying on. You know, I still come to work

1812
01:26:24,452 --> 01:26:27,613
Speaker 10: pretty much every day because I think that's very important

1813
01:26:27,692 --> 01:26:31,732
Speaker 10: where you can just for your own mental health and

1814
01:26:31,772 --> 01:26:34,772
Speaker 10: your own well being to be able to just keep

1815
01:26:34,812 --> 01:26:38,732
Speaker 10: doing stuff right sitting back and what do you sit

1816
01:26:38,812 --> 01:26:39,692
Speaker 10: at home and think about?

1817
01:26:39,772 --> 01:26:41,372
Speaker 2: Well, I was thinking about that, actually, Tom. You know,

1818
01:26:41,412 --> 01:26:43,892
Speaker 2: your response to something most of us could can't get

1819
01:26:43,893 --> 01:26:46,052
Speaker 2: our heads around from the position we're in, it's been

1820
01:26:46,572 --> 01:26:48,692
Speaker 2: and our interaction has been so sort of full of

1821
01:26:48,732 --> 01:26:53,652
Speaker 2: warmth and humor towards your condition. So you know, you

1822
01:26:53,692 --> 01:26:55,973
Speaker 2: say that you've kept working and what other ways have

1823
01:26:56,053 --> 01:26:59,012
Speaker 2: you managed to cope mentally well.

1824
01:26:59,412 --> 01:27:03,492
Speaker 10: I've always been very open and honest with people about

1825
01:27:03,812 --> 01:27:07,412
Speaker 10: where I'm at and what I'm going through. So what

1826
01:27:07,532 --> 01:27:11,973
Speaker 10: I've found that with all my friends and family, just

1827
01:27:12,053 --> 01:27:14,732
Speaker 10: by always being open and honest with them and telling

1828
01:27:14,772 --> 01:27:18,853
Speaker 10: them where I'm at, and people that I established relationships

1829
01:27:18,893 --> 01:27:22,732
Speaker 10: within my work life as well, it sort of lessens

1830
01:27:22,893 --> 01:27:26,532
Speaker 10: the burden for me because I've shared it so much.

1831
01:27:26,572 --> 01:27:29,973
Speaker 10: But it's also if we gather somewhere, it's not like

1832
01:27:30,013 --> 01:27:32,053
Speaker 10: the elephant in the room that no one wants to

1833
01:27:32,093 --> 01:27:37,012
Speaker 10: talk about. Everybody knows about it, and for me, as

1834
01:27:37,133 --> 01:27:41,412
Speaker 10: we're sort of getting closer to that end, I know

1835
01:27:41,572 --> 01:27:46,692
Speaker 10: that they've got each other as well. That eases my

1836
01:27:46,853 --> 01:27:49,772
Speaker 10: mind a little bit because it's such a mental battle.

1837
01:27:49,893 --> 01:27:52,012
Speaker 2: Tom As I said before, you're one of the most

1838
01:27:52,772 --> 01:27:55,013
Speaker 2: popular callers to our show when you rang in with

1839
01:27:55,333 --> 01:27:57,572
Speaker 2: the human that you did, and that you're an aspiring guy.

1840
01:27:57,692 --> 01:28:00,572
Speaker 2: Thanks so much for talking to us and absolutely all

1841
01:28:00,612 --> 01:28:03,572
Speaker 2: the best you made. People like you who's instincts in

1842
01:28:03,612 --> 01:28:08,052
Speaker 2: the face of just unimaginably huge things, when your instincts

1843
01:28:08,053 --> 01:28:11,772
Speaker 2: are hell others, it's I find it really humbling. For

1844
01:28:11,812 --> 01:28:14,452
Speaker 2: the rest of us, and and it's it's an amazing

1845
01:28:14,492 --> 01:28:17,532
Speaker 2: and beautiful thing. So it's it's been great to chat

1846
01:28:17,572 --> 01:28:17,932
Speaker 2: to you again.

1847
01:28:17,973 --> 01:28:18,372
Speaker 13: Mate.

1848
01:28:18,652 --> 01:28:22,213
Speaker 10: Well, thank you, Matt. That's equally humbling for me to

1849
01:28:22,293 --> 01:28:24,812
Speaker 10: have you say that. So I'll just go back to

1850
01:28:24,933 --> 01:28:26,732
Speaker 10: sitting here and swearing at you guys.

1851
01:28:27,452 --> 01:28:28,492
Speaker 3: Please don we love it.

1852
01:28:29,173 --> 01:28:29,772
Speaker 2: We deserve it.

1853
01:28:29,853 --> 01:28:33,093
Speaker 10: Yeah right, yeah, look, I just I just hope that

1854
01:28:33,173 --> 01:28:36,293
Speaker 10: this little chat, you know, raises a bit more awareness

1855
01:28:36,293 --> 01:28:38,652
Speaker 10: for the foundation and the wonderful work that Andrew and

1856
01:28:38,692 --> 01:28:39,452
Speaker 10: Joanna are doing.

1857
01:28:39,893 --> 01:28:43,133
Speaker 3: Yeah, well, Tom, thank you very much again mate. We

1858
01:28:43,213 --> 01:28:45,572
Speaker 3: love you and hopefully we chat again soon.

1859
01:28:45,572 --> 01:28:47,572
Speaker 10: A yeah, well, next time I can come in and

1860
01:28:47,652 --> 01:28:48,852
Speaker 10: give me some cake or something.

1861
01:28:48,973 --> 01:28:51,972
Speaker 3: We can do that. What's your favorite cake made?

1862
01:28:51,973 --> 01:28:53,293
Speaker 10: Anything? Anything?

1863
01:28:55,013 --> 01:28:55,333
Speaker 1: All right?

1864
01:28:55,372 --> 01:28:58,773
Speaker 2: Matt's pretty good baker. No, Tyler will bake you a

1865
01:28:58,772 --> 01:29:01,772
Speaker 2: banana cake. I'll have to get Yeah.

1866
01:29:01,893 --> 01:29:04,572
Speaker 3: Yeah, I feel sorry for you. Now you're gonna eat

1867
01:29:04,572 --> 01:29:08,812
Speaker 3: my cake? Thanks you guys, All right, mate, chat see

1868
01:29:08,812 --> 01:29:11,732
Speaker 3: you Tom. That is Tom. What an absolute great New

1869
01:29:11,812 --> 01:29:13,692
Speaker 3: Zealand there it is news talks there be you're listening

1870
01:29:13,732 --> 01:29:15,973
Speaker 3: to Matt and Tyler beg for it. Shortly, how do

1871
01:29:16,053 --> 01:29:19,692
Speaker 3: we donate against sarcoma dot org dot n z' donate

1872
01:29:19,772 --> 01:29:22,333
Speaker 3: seven bucks. Yep, they're good people. News talks there be

1873
01:29:22,372 --> 01:29:24,773
Speaker 3: you're listening to Matt and Tyler back very shortly.

1874
01:29:28,133 --> 01:29:31,572
Speaker 1: Matt Heathen Tyler Adams afternoons call oh eight hundred and

1875
01:29:31,572 --> 01:29:33,452
Speaker 1: eighty ten eighty on News Talk ZB.

1876
01:29:33,853 --> 01:29:37,853
Speaker 3: Doctor Joanna Connor is a UK trained medical oncologert specializing

1877
01:29:37,893 --> 01:29:41,133
Speaker 3: in sarcoma and breast cancers and as tumor lead for

1878
01:29:41,372 --> 01:29:44,013
Speaker 3: Sarcoma at the Auckland Regional Cancer and Blood Service. She

1879
01:29:44,133 --> 01:29:47,253
Speaker 3: is a founding member of Sarcoma New Zealand and being

1880
01:29:47,333 --> 01:29:50,852
Speaker 3: Sarcoma Awareness Month, she joins us now doctor Connor, very

1881
01:29:50,853 --> 01:29:51,893
Speaker 3: good afternoon.

1882
01:29:52,213 --> 01:29:52,652
Speaker 19: Thank you.

1883
01:29:53,093 --> 01:29:56,172
Speaker 2: Now for those of us that are unaware, what exactly

1884
01:29:56,333 --> 01:29:59,092
Speaker 2: is sarcoma, Yeah.

1885
01:29:58,933 --> 01:30:02,973
Speaker 19: So sarcoma is it's a word for tumors. So they

1886
01:30:02,973 --> 01:30:06,053
Speaker 19: can be cancerous or benign of the supportive tissues of

1887
01:30:06,093 --> 01:30:10,412
Speaker 19: our body, so that can be that muscle, bone. And

1888
01:30:10,452 --> 01:30:13,572
Speaker 19: actually they can occur anywhere in the body at any age,

1889
01:30:14,053 --> 01:30:16,972
Speaker 19: and they're usually very rare cancers, which is why many

1890
01:30:17,013 --> 01:30:19,532
Speaker 19: people might not have heard of that term before.

1891
01:30:20,053 --> 01:30:21,853
Speaker 2: So it's a variety of cancers.

1892
01:30:22,772 --> 01:30:25,692
Speaker 19: Yes, so sarcoma is the umbrella term, and within that

1893
01:30:25,732 --> 01:30:28,452
Speaker 19: there's actually many different types of sarcoma, right, And.

1894
01:30:28,452 --> 01:30:30,932
Speaker 2: How many people are affected in New.

1895
01:30:30,893 --> 01:30:35,932
Speaker 19: Zealand per year several hundred people per year and of

1896
01:30:35,973 --> 01:30:40,093
Speaker 19: course some sarcoma's there might only be one per year

1897
01:30:40,253 --> 01:30:42,893
Speaker 19: even but so some of the more common types of

1898
01:30:42,933 --> 01:30:46,813
Speaker 19: sarcoma we might get fifty to one hundred throughout.

1899
01:30:46,732 --> 01:30:49,612
Speaker 2: Alto And what are the symptoms that people need to

1900
01:30:49,652 --> 01:30:50,372
Speaker 2: watch out for?

1901
01:30:50,572 --> 01:30:52,572
Speaker 19: So this is this is one of the challenges of

1902
01:30:52,612 --> 01:30:56,133
Speaker 19: sarcoma because they can occur anywhere in the body. They

1903
01:30:56,213 --> 01:31:00,812
Speaker 19: can present actually in many different ways. For sarcomas that

1904
01:31:00,973 --> 01:31:04,852
Speaker 19: might present on the extremity, so our arms or our legs,

1905
01:31:04,973 --> 01:31:09,093
Speaker 19: that might be in the formers of lump or even

1906
01:31:09,133 --> 01:31:13,213
Speaker 19: bone pain particular at night that comes. For socoma's that

1907
01:31:13,253 --> 01:31:16,093
Speaker 19: are in the tummy, that can be more problematic because

1908
01:31:16,093 --> 01:31:19,893
Speaker 19: they can be very vague, just general sort of fullness, discomfort,

1909
01:31:20,093 --> 01:31:24,372
Speaker 19: maybe even from vomiting. So there's no one clear symptom,

1910
01:31:24,893 --> 01:31:27,692
Speaker 19: but there's usually a collection of abnormal symptoms and we

1911
01:31:28,293 --> 01:31:31,532
Speaker 19: usually say, look, if you're getting some symptoms that aren't

1912
01:31:31,612 --> 01:31:34,013
Speaker 19: quite right, go and get them checked out. That's one

1913
01:31:34,053 --> 01:31:35,412
Speaker 19: of the most important.

1914
01:31:34,933 --> 01:31:40,412
Speaker 3: Things for those that are diagnosed, Joanna. Are there hurdles

1915
01:31:40,452 --> 01:31:43,732
Speaker 3: that they may face in getting treatment or what are

1916
01:31:43,732 --> 01:31:46,452
Speaker 3: the challenges that those diagnosed can come across.

1917
01:31:46,572 --> 01:31:47,093
Speaker 14: Well, there's a.

1918
01:31:47,053 --> 01:31:50,093
Speaker 19: Couple of main challenges. The first challenge is getting the

1919
01:31:50,213 --> 01:31:54,133
Speaker 19: right diagnosis, and we know that the path to diagnosis

1920
01:31:54,253 --> 01:31:58,093
Speaker 19: can often be long, and that's because they're rare. We're

1921
01:31:58,133 --> 01:32:01,572
Speaker 19: not always in the community, we're not always expecting it

1922
01:32:01,612 --> 01:32:04,852
Speaker 19: to be a sarcoma, and so often we hear about

1923
01:32:04,853 --> 01:32:08,892
Speaker 19: people being having lots of different investigations over a long

1924
01:32:08,933 --> 01:32:14,573
Speaker 19: period of time. And then really importantly the diagnosis pathway

1925
01:32:15,093 --> 01:32:17,612
Speaker 19: is that those once we've got a biopsy that has

1926
01:32:17,612 --> 01:32:21,213
Speaker 19: to be reviewed by a sarcoma specialist because we know

1927
01:32:21,372 --> 01:32:23,972
Speaker 19: sometimes they're so rare that we need the right people

1928
01:32:24,013 --> 01:32:26,452
Speaker 19: to look at those, so that time to diagnosis can

1929
01:32:26,492 --> 01:32:30,412
Speaker 19: actually be really long and a really challenging journey for people.

1930
01:32:30,973 --> 01:32:34,533
Speaker 19: And then I think the second challenge is what is sarcoma?

1931
01:32:34,652 --> 01:32:37,572
Speaker 19: What am I living with or what's my treatment plan?

1932
01:32:37,612 --> 01:32:39,892
Speaker 19: And feeling quite alone because it's so rare.

1933
01:32:40,173 --> 01:32:44,452
Speaker 2: If you have concerns and nothing is being found, but

1934
01:32:44,572 --> 01:32:47,693
Speaker 2: this discomfortable one of these symptoms that you're talking about continues.

1935
01:32:48,652 --> 01:32:50,973
Speaker 2: How do you just keep going with it? How do

1936
01:32:51,013 --> 01:32:53,293
Speaker 2: you keep asking for more tests.

1937
01:32:53,732 --> 01:32:57,372
Speaker 19: One of the really good things is that Sarcoma Foundation

1938
01:32:57,572 --> 01:33:01,412
Speaker 19: New Zealand has some advice for healthcare professionals. And what

1939
01:33:01,452 --> 01:33:05,372
Speaker 19: we've found is that that advice can really empower patients

1940
01:33:05,853 --> 01:33:08,692
Speaker 19: to advocate for themselves if they feel like they're not

1941
01:33:08,732 --> 01:33:12,253
Speaker 19: getting the right work up. And there's some really good

1942
01:33:12,333 --> 01:33:17,333
Speaker 19: criteria about what needs investigations so imaging, what might need

1943
01:33:17,372 --> 01:33:20,932
Speaker 19: an ultrasound, etc. And X ray and there's a really

1944
01:33:21,013 --> 01:33:24,253
Speaker 19: clear referral pathway to get onto the right track. So

1945
01:33:24,572 --> 01:33:28,412
Speaker 19: we hope that the information from the Sarcoma Foundation can

1946
01:33:28,452 --> 01:33:32,333
Speaker 19: help empower patients to advocate for themselves, you know, to

1947
01:33:32,372 --> 01:33:34,772
Speaker 19: getting that workup that they need.

1948
01:33:35,213 --> 01:33:38,572
Speaker 2: Is there a point where you, as like as a doctor,

1949
01:33:38,612 --> 01:33:40,973
Speaker 2: you can go, you definitely don't have this, You've got

1950
01:33:41,013 --> 01:33:44,173
Speaker 2: the symptoms, but we can rule this out. You see

1951
01:33:44,213 --> 01:33:47,013
Speaker 2: what I'm getting at. Because people feel like they have

1952
01:33:47,173 --> 01:33:52,173
Speaker 2: something and you can go on this journey and investigation investigation,

1953
01:33:52,372 --> 01:33:53,612
Speaker 2: is there a point where you can just go, look,

1954
01:33:53,652 --> 01:33:56,013
Speaker 2: you're clear, this isn't the thing that you need to

1955
01:33:56,013 --> 01:33:57,133
Speaker 2: worry about Yeah.

1956
01:33:57,173 --> 01:34:00,932
Speaker 19: Absolutely, and although we're talking about farcoma today, I think

1957
01:34:01,093 --> 01:34:04,013
Speaker 19: reassuring word from me would be that most of the

1958
01:34:04,053 --> 01:34:07,013
Speaker 19: time these lumps on bumps are not sarcoma's. You know

1959
01:34:07,412 --> 01:34:11,133
Speaker 19: these are really but unless you get them worked up,

1960
01:34:11,253 --> 01:34:14,932
Speaker 19: we just need that reassurance. And usually that might be

1961
01:34:15,133 --> 01:34:18,093
Speaker 19: a simple scam or an X ray, or for some

1962
01:34:18,133 --> 01:34:20,772
Speaker 19: people they might need a biopsy. But usually one of

1963
01:34:20,812 --> 01:34:25,253
Speaker 19: those two things is the key. A reassuring imaging or

1964
01:34:25,293 --> 01:34:26,372
Speaker 19: a clear biopsy.

1965
01:34:26,452 --> 01:34:29,133
Speaker 2: We're talking to doctor Joanna Connor, founding member of this

1966
01:34:29,293 --> 01:34:33,333
Speaker 2: of Sarcoma and New Zealand. So once you've been diagnosed,

1967
01:34:33,412 --> 01:34:35,572
Speaker 2: what sort of treatments are available A.

1968
01:34:35,572 --> 01:34:38,733
Speaker 19: Whole bunch of treatments depending on the type of sarcoma

1969
01:34:39,133 --> 01:34:44,932
Speaker 19: that has been diagnosed. Usually surgery is the cornerstone of treatment.

1970
01:34:45,293 --> 01:34:50,213
Speaker 19: Most sarcomas need surgery to remove them. There are some sarcomas, however,

1971
01:34:50,293 --> 01:34:53,093
Speaker 19: that need some treatment before we get to that surgery,

1972
01:34:53,173 --> 01:34:57,532
Speaker 19: So that might be for some people radiation treatment or

1973
01:34:57,572 --> 01:35:01,812
Speaker 19: even some chemotherapy, or even a combination of both. But

1974
01:35:01,973 --> 01:35:05,612
Speaker 19: your treatment plan would be recommended by a specialist sarcoma team.

1975
01:35:05,812 --> 01:35:08,532
Speaker 3: So for people listening at the moment, Joanna, and they

1976
01:35:08,572 --> 01:35:11,133
Speaker 3: might be a bit worried or for those who are

1977
01:35:11,173 --> 01:35:13,372
Speaker 3: going through the journey, what would be your message to

1978
01:35:13,452 --> 01:35:13,972
Speaker 3: those people?

1979
01:35:14,492 --> 01:35:18,452
Speaker 19: I think you're not alone. So it can feel immensely isolating,

1980
01:35:19,293 --> 01:35:23,213
Speaker 19: but go to the website. There's lots of resources for

1981
01:35:23,412 --> 01:35:27,692
Speaker 19: people in New Zealand affected by socoma and the family

1982
01:35:27,772 --> 01:35:31,852
Speaker 19: as as well. And look, talk to us, you know,

1983
01:35:32,053 --> 01:35:36,333
Speaker 19: if you're not sure, talk to us, particularly through Socoma

1984
01:35:36,372 --> 01:35:39,533
Speaker 19: Foundation New Zealand. We can help make sure you're orientated

1985
01:35:39,612 --> 01:35:43,213
Speaker 19: on the right path where the charities we're not your

1986
01:35:43,253 --> 01:35:45,973
Speaker 19: treating team, but we can help advocate for you.

1987
01:35:46,213 --> 01:35:48,772
Speaker 2: How are you guys funded and how can people donate?

1988
01:35:48,933 --> 01:35:52,372
Speaker 19: So we're a charity, so we're very new in the

1989
01:35:52,372 --> 01:35:54,812
Speaker 19: first couple of years have been launched to the public,

1990
01:35:55,013 --> 01:35:58,932
Speaker 19: so we're welcoming all donations to keep us running. And

1991
01:35:59,253 --> 01:36:01,652
Speaker 19: one of the goals this year is to start up

1992
01:36:01,652 --> 01:36:07,333
Speaker 19: a support network for patients and consumers across our heroa.

1993
01:36:06,652 --> 01:36:08,932
Speaker 2: And so I had directly can they donate to go to.

1994
01:36:08,933 --> 01:36:11,692
Speaker 19: Socoma dot org dot inside and they can go there

1995
01:36:11,732 --> 01:36:12,173
Speaker 19: through our.

1996
01:36:12,053 --> 01:36:14,213
Speaker 2: Website Sarcoma dot org dot INZID.

1997
01:36:14,532 --> 01:36:14,932
Speaker 19: Perfect.

1998
01:36:14,973 --> 01:36:17,612
Speaker 3: Yeah, doctor, really great to chat with you keep up

1999
01:36:17,652 --> 01:36:20,333
Speaker 3: the good work and we'll catch up again soon hopefully.

2000
01:36:20,412 --> 01:36:21,093
Speaker 19: Thanks so much.

2001
01:36:21,173 --> 01:36:24,012
Speaker 3: That is doctor Joanna Connor. She's a UK trained medical

2002
01:36:24,053 --> 01:36:27,372
Speaker 3: oncologist and a founding member of Sarcoma New Zealand. You're

2003
01:36:27,372 --> 01:36:30,053
Speaker 3: listening to Matt and Tyler. Very good afternoon to you.

2004
01:36:32,133 --> 01:36:35,973
Speaker 12: You talk zby headlines with blue bubble taxis, it's no

2005
01:36:36,133 --> 01:36:39,412
Speaker 12: trouble with a blue bubble. The Commerce and Consumer Affairs

2006
01:36:39,412 --> 01:36:43,493
Speaker 12: Minister says payment cards serve charges which are often excessive,

2007
01:36:43,812 --> 01:36:48,333
Speaker 12: will be gone by May next year. Concerns about protesters

2008
01:36:48,372 --> 01:36:51,772
Speaker 12: at Stockton Mine have climbed into an aerial rope way

2009
01:36:51,853 --> 01:36:55,452
Speaker 12: bucket to prevent coal leaving the West Coast mine. This morning,

2010
01:36:56,372 --> 01:36:59,372
Speaker 12: the governments and talks on changing rules aiming to strike

2011
01:36:59,412 --> 01:37:03,012
Speaker 12: a balance between cutting red tape and keeping people safe,

2012
01:37:03,253 --> 01:37:07,692
Speaker 12: with plans to reduce requirements for worksite is scaffolding. A

2013
01:37:07,772 --> 01:37:12,372
Speaker 12: deadly reach of the Kaitia Arwardo Road near Northland's Kaitaire

2014
01:37:12,772 --> 01:37:17,132
Speaker 12: is getting our first average speed cameras. The government's welcoming

2015
01:37:17,173 --> 01:37:20,933
Speaker 12: a dramatic turnaround, and farmer's sentiment with confidence at an

2016
01:37:21,013 --> 01:37:25,172
Speaker 12: eight year high. Thirty five Kiwi soldiers have been deployed.

2017
01:37:25,173 --> 01:37:27,852
Speaker 12: To the Republic of Korea to train with Korean and

2018
01:37:28,013 --> 01:37:32,093
Speaker 12: US forces. A second deployment is planned next year, and

2019
01:37:32,253 --> 01:37:35,092
Speaker 12: Ed Sharon's added a second Auckland concert to his Kiwi

2020
01:37:35,133 --> 01:37:38,093
Speaker 12: leg of the Loop World Tour. New Zealand shows from

2021
01:37:38,293 --> 01:37:42,892
Speaker 12: January and tickets go on sale tomorrow. Top chefs on

2022
01:37:42,933 --> 01:37:45,173
Speaker 12: where they eat, what to drink and how much to

2023
01:37:45,293 --> 01:37:48,932
Speaker 12: tip in Auckland. You can read more at zienthrald Premium

2024
01:37:49,093 --> 01:37:51,492
Speaker 12: back mail to matt Ethan Tyler Adams.

2025
01:37:51,133 --> 01:37:54,013
Speaker 3: Thank you very much, Array Lean and for those that

2026
01:37:54,053 --> 01:37:56,333
Speaker 3: missed it, we just spoke a little bit earlier to

2027
01:37:56,333 --> 01:37:59,772
Speaker 3: Tom who we chatted in two in April when we

2028
01:37:59,772 --> 01:38:02,133
Speaker 3: were having a chat about funerals and he rang and

2029
01:38:02,213 --> 01:38:04,093
Speaker 3: floored us in so many of our listeners that he

2030
01:38:04,173 --> 01:38:07,293
Speaker 3: was planning for his own funeral. But it is Sarcoma

2031
01:38:07,372 --> 01:38:10,973
Speaker 3: awareness month this month and so many texts again have

2032
01:38:11,013 --> 01:38:12,692
Speaker 3: come in after hearing Tom's story.

2033
01:38:13,532 --> 01:38:16,053
Speaker 2: This Texas says time is my workmatee He's a brave man.

2034
01:38:16,133 --> 01:38:18,772
Speaker 2: Love you brother. That's from Simon Yeah d Now Simon

2035
01:38:19,492 --> 01:38:22,213
Speaker 2: Dean says Tom truly an inspirational human. On a side note,

2036
01:38:22,293 --> 01:38:24,333
Speaker 2: I'm not sick, but my son is a funeral director,

2037
01:38:24,372 --> 01:38:26,492
Speaker 2: and Barma has already planned my funeral and has told

2038
01:38:26,492 --> 01:38:28,892
Speaker 2: me if I ever upset him, he will glue my

2039
01:38:28,933 --> 01:38:31,372
Speaker 2: finger up my nose. I said, I want to be

2040
01:38:31,412 --> 01:38:33,572
Speaker 2: buried in his favorite suit, whether it fits or not.

2041
01:38:33,772 --> 01:38:37,452
Speaker 3: Okay, very good, Yeah, you've got that sort. It's but

2042
01:38:37,532 --> 01:38:40,093
Speaker 3: O one hundred eighty ten eighty is the number to call,

2043
01:38:40,213 --> 01:38:42,372
Speaker 3: so we're keen to hear from you. Look if you

2044
01:38:42,412 --> 01:38:46,372
Speaker 3: are going through the Sarkom journey yourself, but also how

2045
01:38:46,452 --> 01:38:50,812
Speaker 3: you've dealt with staying positive when you or your family

2046
01:38:50,853 --> 01:38:54,093
Speaker 3: member has had a serious diagnosis. O one hundred eighty

2047
01:38:54,093 --> 01:38:55,452
Speaker 3: ten eighty is that number to call.

2048
01:38:56,452 --> 01:38:57,612
Speaker 2: Nikki, Welcome to the show.

2049
01:38:58,893 --> 01:38:59,572
Speaker 19: Hi, how are you.

2050
01:39:00,572 --> 01:39:02,812
Speaker 2: Yeah, you've got it. You've got a very good thank you,

2051
01:39:02,973 --> 01:39:05,732
Speaker 2: Thank you for calling. You've got You've got an interesting

2052
01:39:05,772 --> 01:39:06,333
Speaker 2: story here.

2053
01:39:07,893 --> 01:39:08,133
Speaker 19: Yeah.

2054
01:39:08,612 --> 01:39:12,452
Speaker 20: I guess Tom's story piqued me a bit. I lost

2055
01:39:12,492 --> 01:39:15,852
Speaker 20: my best friend to a starcoma of five years ago

2056
01:39:16,372 --> 01:39:20,652
Speaker 20: called it was a very rare one, which often they

2057
01:39:20,692 --> 01:39:28,093
Speaker 20: are called Lao Mayo sarcoma, and I just thought it's

2058
01:39:28,173 --> 01:39:32,733
Speaker 20: fantastic to hear that there's this foundation that's been started

2059
01:39:32,893 --> 01:39:35,692
Speaker 20: around Psycoonomist because I at the time as sort of

2060
01:39:35,692 --> 01:39:41,133
Speaker 20: a support person. None of us had any awareness of.

2061
01:39:40,572 --> 01:39:42,133
Speaker 8: What the disease was.

2062
01:39:43,333 --> 01:39:47,652
Speaker 20: It was found kind of accidentally in some ways through

2063
01:39:49,053 --> 01:39:53,093
Speaker 20: saw back, which led to X ray, which led to,

2064
01:39:53,652 --> 01:39:57,333
Speaker 20: you know, a diagnosis. It's very hard to diagnose. And

2065
01:39:57,372 --> 01:40:01,412
Speaker 20: then of course trying to get information and from my

2066
01:40:01,492 --> 01:40:03,892
Speaker 20: perspective of a support it was hard. There was not

2067
01:40:03,893 --> 01:40:07,333
Speaker 20: nothing that I found in New Zealand. So I found

2068
01:40:07,372 --> 01:40:12,572
Speaker 20: a group in America and got some brilliant for interesting information.

2069
01:40:12,652 --> 01:40:16,133
Speaker 20: But of course in New Zealand, our drug regime is

2070
01:40:16,173 --> 01:40:21,452
Speaker 20: so different, Every case is so different. So yeah, just

2071
01:40:22,452 --> 01:40:25,892
Speaker 20: I just think it's stabulous that they started something. And

2072
01:40:25,933 --> 01:40:30,972
Speaker 20: also from a patient perspective, when my friend Tania went through,

2073
01:40:31,452 --> 01:40:33,532
Speaker 20: I think at the time there was two other people

2074
01:40:33,572 --> 01:40:37,652
Speaker 20: in New Zealand that had this particular type of cancer.

2075
01:40:37,812 --> 01:40:44,932
Speaker 20: So really, yeah, it was a really difficult set of years.

2076
01:40:45,333 --> 01:40:49,052
Speaker 2: Yeah. Well, it takes people, you know, to start these things,

2077
01:40:49,053 --> 01:40:51,612
Speaker 2: don't They kind of expect that they will exist, but

2078
01:40:51,692 --> 01:40:55,572
Speaker 2: they often don't. So you know, for the Sarcoma Foundation

2079
01:40:55,732 --> 01:40:59,692
Speaker 2: to start what they're doing and help the people that

2080
01:40:59,732 --> 01:41:02,333
Speaker 2: they can help, it's they're just there's just the best

2081
01:41:02,333 --> 01:41:04,293
Speaker 2: of us. It's it's I think it's amazing that people

2082
01:41:04,293 --> 01:41:08,093
Speaker 2: will do that and pretty they that the equivalent wasn't

2083
01:41:08,093 --> 01:41:08,892
Speaker 2: there for you guys?

2084
01:41:10,173 --> 01:41:13,653
Speaker 20: Yeah, absolutely, I think, you know, and it builds momentum,

2085
01:41:13,692 --> 01:41:17,412
Speaker 20: and people like Tom are fantastic who are open that

2086
01:41:17,812 --> 01:41:22,412
Speaker 20: just front foot. It's not everyone goes through their journey

2087
01:41:22,412 --> 01:41:24,452
Speaker 20: that way. A lot of people are very private about

2088
01:41:24,452 --> 01:41:27,852
Speaker 20: what they share. But I found with Tanya she was

2089
01:41:27,933 --> 01:41:31,053
Speaker 20: quite open about and black and white about what was

2090
01:41:31,093 --> 01:41:34,452
Speaker 20: going on, which helped, you know. I didn't feel like

2091
01:41:34,532 --> 01:41:38,572
Speaker 20: I needed to be pressing her for information because she

2092
01:41:38,652 --> 01:41:41,173
Speaker 20: could give it to me. But equally we were sort

2093
01:41:41,213 --> 01:41:45,372
Speaker 20: of researching around the world for different things. Other family

2094
01:41:45,372 --> 01:41:48,692
Speaker 20: members too, just just to try and get support.

2095
01:41:49,053 --> 01:41:49,933
Speaker 10: Yeah.

2096
01:41:50,013 --> 01:41:51,852
Speaker 2: Yeah, it affects a lot of people, doesn't it, Because

2097
01:41:51,893 --> 01:41:55,532
Speaker 2: you think about the you know, the person that's suffering

2098
01:41:56,053 --> 01:42:00,532
Speaker 2: with the illness, but everyone around them as just floundering

2099
01:42:00,612 --> 01:42:02,932
Speaker 2: around and trying to work out how they can help

2100
01:42:02,973 --> 01:42:06,293
Speaker 2: and how they can be useful. So it's sort of

2101
01:42:07,652 --> 01:42:09,452
Speaker 2: as a wide ranging effect, doesn't it.

2102
01:42:10,173 --> 01:42:11,492
Speaker 20: Yeah, it absolutely does.

2103
01:42:11,933 --> 01:42:12,173
Speaker 10: Yeah.

2104
01:42:12,412 --> 01:42:14,612
Speaker 20: Not you know, day to day family, how do you

2105
01:42:14,612 --> 01:42:17,213
Speaker 20: support the family, how do you support your friend? When's

2106
01:42:17,253 --> 01:42:19,652
Speaker 20: the right time to talk about it? Not talk about it.

2107
01:42:20,093 --> 01:42:26,093
Speaker 20: Yeah it's yeah, it's it's a really hard journey, but yeah,

2108
01:42:26,133 --> 01:42:29,532
Speaker 20: but yeah, my well one takeout is it's just you know,

2109
01:42:29,893 --> 01:42:34,253
Speaker 20: really get out there and support. I will definitely be donating,

2110
01:42:34,452 --> 01:42:37,772
Speaker 20: really really thrilled. We've got some fantastic on colleges in

2111
01:42:37,772 --> 01:42:42,973
Speaker 20: New Zealand. But you know, information, you know can be

2112
01:42:43,053 --> 01:42:46,452
Speaker 20: a huge help for patients, but you know also family

2113
01:42:46,492 --> 01:42:47,092
Speaker 20: and friends.

2114
01:42:47,213 --> 01:42:50,412
Speaker 3: Yeah, Nikki, you're a fantastic human beings. Thank you very

2115
01:42:50,492 --> 01:42:52,852
Speaker 3: much for giving us a call and and you're bang

2116
01:42:52,933 --> 01:42:55,253
Speaker 3: on what these guys do, the SOCMA Foundation of New

2117
01:42:55,333 --> 01:42:59,213
Speaker 3: Zealand providing that support and information for those going through it.

2118
01:42:59,213 --> 01:43:01,012
Speaker 3: It means the world to those people, right.

2119
01:43:01,732 --> 01:43:03,173
Speaker 20: Yeah, Yeah, it's fabulous.

2120
01:43:03,692 --> 01:43:04,492
Speaker 2: Yeah, and you can do it.

2121
01:43:05,053 --> 01:43:05,972
Speaker 20: Thanks for raising it.

2122
01:43:06,492 --> 01:43:08,892
Speaker 2: Yeah, well thanks for thanks for bringing in Nick and

2123
01:43:08,933 --> 01:43:13,692
Speaker 2: all the Bestsarcoma dot org, dot z as where you

2124
01:43:13,692 --> 01:43:15,293
Speaker 2: go if you want to make a little donation.

2125
01:43:15,173 --> 01:43:18,092
Speaker 3: Yep, absolutely support them. Oh eight hundred eight huge donation.

2126
01:43:18,333 --> 01:43:20,812
Speaker 3: Yeah please Oh eight hundred eighty ten eighty is the

2127
01:43:20,933 --> 01:43:22,732
Speaker 3: number of call love to hear from you. If you've

2128
01:43:22,772 --> 01:43:24,732
Speaker 3: been through this junior or a family member has been

2129
01:43:24,772 --> 01:43:27,053
Speaker 3: through this journey, really can have a chat with you.

2130
01:43:27,133 --> 01:43:30,173
Speaker 3: It is Sarcoma Awareness month, but not just sarcoma. You

2131
01:43:30,253 --> 01:43:32,253
Speaker 3: heard Tom and the chat that we had with him,

2132
01:43:32,253 --> 01:43:36,293
Speaker 3: but his attitude an outlock on on what's happened with him,

2133
01:43:36,333 --> 01:43:39,772
Speaker 3: his optimism and his positivity. How did you manage to

2134
01:43:39,933 --> 01:43:41,772
Speaker 3: find that when you were a family member had a

2135
01:43:41,812 --> 01:43:42,773
Speaker 3: serious diagnosis?

2136
01:43:42,893 --> 01:43:43,173
Speaker 2: Yeah?

2137
01:43:43,213 --> 01:43:46,173
Speaker 3: Absolutely, Oh eight hundred eighty ten eighty is the number call.

2138
01:43:46,213 --> 01:43:47,333
Speaker 3: It's twenty one to four.

2139
01:43:48,372 --> 01:43:51,012
Speaker 1: Have a chat with the lads on eight hundred eighty

2140
01:43:51,013 --> 01:43:55,052
Speaker 1: ten eighty. Matt Heathan Tyler Adams afternoons used talks that'd.

2141
01:43:54,973 --> 01:43:57,652
Speaker 3: Be very good afternoons to you. It is eighteen to

2142
01:43:57,812 --> 01:44:01,612
Speaker 3: four and it is Sarcoma Awareness month and we are

2143
01:44:01,692 --> 01:44:04,292
Speaker 3: chatting about your stories and journeys, not just with sarcoma,

2144
01:44:04,333 --> 01:44:06,973
Speaker 3: but how do you stay positive after getting a serious diagnosis? Oh,

2145
01:44:06,973 --> 01:44:09,013
Speaker 3: eight hundred eighty ten eighty is the number to call?

2146
01:44:09,213 --> 01:44:10,973
Speaker 2: And how do you support as a family member of

2147
01:44:11,013 --> 01:44:15,293
Speaker 2: a friend someone who has has had a serious diagnosis? John,

2148
01:44:15,372 --> 01:44:17,973
Speaker 2: you had a tumor that was initially classified as sarcoma.

2149
01:44:20,372 --> 01:44:22,372
Speaker 3: Oh get John? Just having some issues with their line

2150
01:44:22,412 --> 01:44:22,852
Speaker 3: got you there?

2151
01:44:22,893 --> 01:44:24,012
Speaker 11: How are you hello?

2152
01:44:24,213 --> 01:44:25,733
Speaker 9: You got me one two three.

2153
01:44:25,652 --> 01:44:28,173
Speaker 2: Yep, you're there, You're in you know what there was me.

2154
01:44:28,213 --> 01:44:29,652
Speaker 2: I didn't press the button. That was all on me,

2155
01:44:29,732 --> 01:44:32,372
Speaker 2: John oh Man, come on disaster.

2156
01:44:33,133 --> 01:44:38,012
Speaker 9: Yeah no, just by chance. Well, I had a car ackson,

2157
01:44:38,093 --> 01:44:40,692
Speaker 9: got hit behind my young lady who was texting on

2158
01:44:40,732 --> 01:44:44,772
Speaker 9: the phone not paying attention, and had quite a serious

2159
01:44:44,812 --> 01:44:47,333
Speaker 9: back and neck injury. And there was a follow up

2160
01:44:47,853 --> 01:44:51,933
Speaker 9: examination done by my back specialist and he rang me

2161
01:44:52,372 --> 01:44:55,972
Speaker 9: after the CT scan that I had that day, and

2162
01:44:56,013 --> 01:44:57,772
Speaker 9: he called me late in the evening and he sorry

2163
01:44:57,812 --> 01:44:59,772
Speaker 9: to bother you at the time of night, but I've

2164
01:44:59,812 --> 01:45:01,612
Speaker 9: spotted a mass and a lot of part of your

2165
01:45:01,612 --> 01:45:06,133
Speaker 9: back which needs further investigation. And so it was found

2166
01:45:06,133 --> 01:45:09,852
Speaker 9: by chance, and it was in my gluteous minimus muscle.

2167
01:45:10,013 --> 01:45:12,652
Speaker 9: My friends say it was just in your butt, John, Yeah,

2168
01:45:12,732 --> 01:45:17,852
Speaker 9: that's right. And so and the special said that I've

2169
01:45:18,253 --> 01:45:22,093
Speaker 9: classified it as a soft tissue sarcoma. He said, do

2170
01:45:22,253 --> 01:45:26,692
Speaker 9: not google sarcoma. He said, I've done that to expedite things,

2171
01:45:27,173 --> 01:45:29,852
Speaker 9: just in case it's the worst case. Anyway, So the

2172
01:45:29,853 --> 01:45:31,333
Speaker 9: first thing I did when I got off the phone,

2173
01:45:31,372 --> 01:45:36,532
Speaker 9: of course, was to googlecoma, and so I had to

2174
01:45:36,532 --> 01:45:40,333
Speaker 9: go back for more scans. Of the particular area, and

2175
01:45:40,372 --> 01:45:43,452
Speaker 9: they did a lovely three D model of it and said, yes,

2176
01:45:44,253 --> 01:45:48,372
Speaker 9: and I did have a bulge down in that area,

2177
01:45:48,412 --> 01:45:50,333
Speaker 9: which you know, I kind of I had all the

2178
01:45:50,412 --> 01:45:53,372
Speaker 9: swelling related to the back injury, and I really didn't

2179
01:45:53,372 --> 01:45:55,253
Speaker 9: focus on it that much. It was just the part

2180
01:45:55,253 --> 01:45:57,973
Speaker 9: and parcel of what I thought was injury. Anyway, it

2181
01:45:58,013 --> 01:46:02,693
Speaker 9: was definitely there, and so they did a punch biopsy

2182
01:46:02,772 --> 01:46:05,173
Speaker 9: where they put a needle in and take samples out,

2183
01:46:05,293 --> 01:46:08,013
Speaker 9: and then that was inconclusive, so they had to do

2184
01:46:08,053 --> 01:46:09,812
Speaker 9: an open and biopsy where they go in to cut

2185
01:46:09,812 --> 01:46:13,612
Speaker 9: it out. And so if in the worst case it

2186
01:46:13,692 --> 01:46:16,972
Speaker 9: was COMA, they couldn't just take it out without first

2187
01:46:17,333 --> 01:46:19,732
Speaker 9: radiating it and shrinking it and trying to harden it

2188
01:46:19,812 --> 01:46:22,532
Speaker 9: up so they could get it all out. So you know,

2189
01:46:22,572 --> 01:46:24,253
Speaker 9: I said, well, when you're going in there to do

2190
01:46:24,893 --> 01:46:26,452
Speaker 9: a biop, so won't you take it out? And they said,

2191
01:46:26,492 --> 01:46:29,532
Speaker 9: we can't, and we won't, so we have to find

2192
01:46:29,532 --> 01:46:32,093
Speaker 9: out what it is, which will then determine the treatment plan.

2193
01:46:32,973 --> 01:46:36,412
Speaker 9: So they did the open biopsy. They had the samples

2194
01:46:36,412 --> 01:46:39,973
Speaker 9: looked at locally, but it was all inconclusive. So that

2195
01:46:40,133 --> 01:46:42,573
Speaker 9: I should have said that the punch biopsy was inconclusive,

2196
01:46:42,612 --> 01:46:45,932
Speaker 9: and now the open biopsy, the tissue samples they took out,

2197
01:46:45,973 --> 01:46:49,093
Speaker 9: it was also inconclusive. But what was disclosed to me

2198
01:46:49,333 --> 01:46:53,012
Speaker 9: was that we didn't really have the right testing equipment

2199
01:46:53,452 --> 01:46:56,573
Speaker 9: to screen the tissue here in New Zealand or Australia,

2200
01:46:56,973 --> 01:46:58,732
Speaker 9: so they had to send the tissue samples the way

2201
01:46:58,772 --> 01:47:04,892
Speaker 9: to the United States. So this took months to get through,

2202
01:47:04,933 --> 01:47:07,253
Speaker 9: and in the meantime, of course, you have to think, well,

2203
01:47:07,293 --> 01:47:09,412
Speaker 9: you know, it's human anxious to think of the worst,

2204
01:47:10,372 --> 01:47:13,213
Speaker 9: So when you're thinking of preparedness, I'm sorry, didn't hear

2205
01:47:13,572 --> 01:47:16,173
Speaker 9: the previous quarter who's obviously talking about his experience and

2206
01:47:17,692 --> 01:47:19,972
Speaker 9: mine is nothing like his because I had a happy outcome.

2207
01:47:20,893 --> 01:47:23,452
Speaker 9: But but in that in that period of time when

2208
01:47:23,532 --> 01:47:27,532
Speaker 9: when it hasn't been conclusive, you're just also wondering, you know,

2209
01:47:27,612 --> 01:47:30,013
Speaker 9: because basically a sarcoma can be pretty deadly you can

2210
01:47:30,053 --> 01:47:35,333
Speaker 9: take in a very short period of time. So anyway,

2211
01:47:36,532 --> 01:47:42,732
Speaker 9: eventually the panel of specialists in the United States still

2212
01:47:42,772 --> 01:47:47,732
Speaker 9: were inconclusive as to what it was. So eventually I

2213
01:47:47,812 --> 01:47:52,093
Speaker 9: engaged specialists in the United Kingdom and and there was

2214
01:47:52,692 --> 01:47:55,532
Speaker 9: sufficient tissue samples left over for it to be tested

2215
01:47:55,532 --> 01:47:59,053
Speaker 9: as well, so ultimately it was sound to be not

2216
01:47:59,093 --> 01:48:05,572
Speaker 9: a sarcoma. It was a mix omer. Well it's less,

2217
01:48:05,732 --> 01:48:10,452
Speaker 9: it's less dangerous, but it's a twoman. Nonetheless, it was benign.

2218
01:48:11,053 --> 01:48:14,452
Speaker 9: Well you know, all these all these growth inside one's

2219
01:48:14,452 --> 01:48:17,652
Speaker 9: body had always have a low level of cancer cells.

2220
01:48:18,812 --> 01:48:20,612
Speaker 9: But it was benign and they could go in and

2221
01:48:20,612 --> 01:48:23,612
Speaker 9: take it out, and they did so shortly thereafter. But

2222
01:48:24,253 --> 01:48:27,732
Speaker 9: it was many, many months of distress, probably not so

2223
01:48:27,812 --> 01:48:31,412
Speaker 9: much for me, but me and my family and going

2224
01:48:31,492 --> 01:48:34,812
Speaker 9: through the what is and trying to rapidly get my

2225
01:48:35,213 --> 01:48:38,692
Speaker 9: life all wrapped up just in case. And it's no

2226
01:48:39,093 --> 01:48:42,213
Speaker 9: fault of the medical professionals involved at the time, but

2227
01:48:42,253 --> 01:48:47,092
Speaker 9: it's just a process. And upon reflection that is quite fortunate.

2228
01:48:47,173 --> 01:48:49,812
Speaker 9: I had a very good specialist with a keen eye

2229
01:48:50,013 --> 01:48:52,452
Speaker 9: that my spine specialists saw it in the first place,

2230
01:48:52,572 --> 01:48:54,652
Speaker 9: you know, because had he not seen it and it

2231
01:48:54,732 --> 01:48:56,412
Speaker 9: was came, it could have killed me.

2232
01:48:57,253 --> 01:48:59,333
Speaker 2: And you said, you know, you're getting it looked at

2233
01:48:59,372 --> 01:49:01,892
Speaker 2: in the States and then in the UK. How much

2234
01:49:01,893 --> 01:49:03,812
Speaker 2: did that cost you? Did it cost you personally or

2235
01:49:03,853 --> 01:49:05,892
Speaker 2: did you have health insurance or how did you bathite it?

2236
01:49:06,333 --> 01:49:10,173
Speaker 9: I had Sealth insurance. Yeah, I was covered for that,

2237
01:49:10,293 --> 01:49:13,293
Speaker 9: So it was a matter of driving at the end

2238
01:49:13,293 --> 01:49:15,652
Speaker 9: of the day to make sure that I was going

2239
01:49:15,692 --> 01:49:18,093
Speaker 9: to get a result because it was hanging too long

2240
01:49:18,333 --> 01:49:21,892
Speaker 9: and so yeah, a bit of research and a bit

2241
01:49:21,893 --> 01:49:27,173
Speaker 9: of direction and we got a conclusive result. So yeah,

2242
01:49:27,452 --> 01:49:29,532
Speaker 9: I was very thankful, well.

2243
01:49:29,652 --> 01:49:32,053
Speaker 2: Very pleased to hear that, John, and absolutely all the

2244
01:49:32,093 --> 01:49:34,253
Speaker 2: best and thanks for sharing that story with us.

2245
01:49:34,812 --> 01:49:35,052
Speaker 1: Yeah.

2246
01:49:35,333 --> 01:49:38,533
Speaker 9: I mean it's important for people who have these diagnoses

2247
01:49:39,213 --> 01:49:42,253
Speaker 9: is to ask as many questions I can and ensure

2248
01:49:42,253 --> 01:49:46,732
Speaker 9: that the treatment plan has mapped out for them. But

2249
01:49:46,853 --> 01:49:49,973
Speaker 9: the testing is the key thing. And I was a

2250
01:49:49,973 --> 01:49:52,253
Speaker 9: bit surprised to find that we didn't have the appropriate

2251
01:49:52,612 --> 01:49:57,053
Speaker 9: screening equipment both here in Australia to actually properly determine

2252
01:49:57,213 --> 01:49:59,973
Speaker 9: the nature of the nasty little things growing inside of me.

2253
01:50:00,173 --> 01:50:02,173
Speaker 2: Yeah. Yeah, it's a scary what a story.

2254
01:50:02,173 --> 01:50:04,372
Speaker 3: Thank you very much, John Checky.

2255
01:50:04,213 --> 01:50:08,053
Speaker 2: Because you know, like if he didn't have insurance, then

2256
01:50:08,412 --> 01:50:10,532
Speaker 2: we wouldn't move followed it through and would have just

2257
01:50:10,572 --> 01:50:14,412
Speaker 2: been continually worried about it exactly. Jackie, Welcome to the show.

2258
01:50:15,973 --> 01:50:21,333
Speaker 3: Oh hi, Hi, Yeah, so Jackie, you are currently in remission,

2259
01:50:21,372 --> 01:50:21,812
Speaker 3: is that right?

2260
01:50:23,213 --> 01:50:23,452
Speaker 10: Yes.

2261
01:50:23,812 --> 01:50:27,132
Speaker 21: I've been in remission for three years now from breast

2262
01:50:27,133 --> 01:50:33,093
Speaker 21: cancer and had it once and then I had a mastectomy,

2263
01:50:33,333 --> 01:50:35,652
Speaker 21: and then a little bit came back and I had

2264
01:50:35,692 --> 01:50:38,013
Speaker 21: another surgery and then decided they decided I had to

2265
01:50:38,013 --> 01:50:41,492
Speaker 21: have keno into a sceptem, which was successful, thank goodness.

2266
01:50:42,372 --> 01:50:44,412
Speaker 21: But I did a lot of other things along the way,

2267
01:50:44,532 --> 01:50:48,372
Speaker 21: metabolic therapy and intimate and fasting, things like that.

2268
01:50:49,253 --> 01:50:53,372
Speaker 18: I wanted it out there about what should.

2269
01:50:53,093 --> 01:50:58,093
Speaker 21: See more, and that's DNA testing and RNA expressions.

2270
01:50:58,173 --> 01:50:58,452
Speaker 3: Yep.

2271
01:50:58,812 --> 01:51:03,692
Speaker 21: And I've learned that there's places overseas that do it

2272
01:51:03,772 --> 01:51:04,652
Speaker 21: a lot better than we.

2273
01:51:04,652 --> 01:51:05,173
Speaker 9: Do it here.

2274
01:51:05,372 --> 01:51:07,612
Speaker 18: I could be wrong, so Lea's correct me if I'm wrong.

2275
01:51:10,853 --> 01:51:13,333
Speaker 3: Oh Jackie, what a blow. I think you've just gone

2276
01:51:13,333 --> 01:51:17,092
Speaker 3: through a tunnel. We've just got your back, Jackie. We

2277
01:51:17,093 --> 01:51:21,973
Speaker 3: we just lost you. Sorry, picked back up. Oh no,

2278
01:51:22,213 --> 01:51:25,492
Speaker 3: I think we've lost Jackie. What a blow. Yeah, no,

2279
01:51:25,612 --> 01:51:28,412
Speaker 3: we've lost Jackie. Oh eight hundred eighty teen eighty is

2280
01:51:28,452 --> 01:51:32,132
Speaker 3: the number to call. So many texts coming through as well.

2281
01:51:32,412 --> 01:51:34,492
Speaker 3: This one says guys. When I was diagnosed in two

2282
01:51:34,532 --> 01:51:37,213
Speaker 3: thousand and four with a just tumor, my story was

2283
01:51:37,253 --> 01:51:40,372
Speaker 3: covered by the media when I did this year's Coast

2284
01:51:40,372 --> 01:51:44,612
Speaker 3: to Coast. Been a bloody tough years, twenty years rather,

2285
01:51:45,213 --> 01:51:47,053
Speaker 3: but so glad that I've made it this far. That's

2286
01:51:47,053 --> 01:51:50,293
Speaker 3: from Phil right. We've got to play some messages, but oh,

2287
01:51:50,333 --> 01:51:53,092
Speaker 3: eight hundred eighty, ten eighty is the number to call.

2288
01:51:53,492 --> 01:51:55,333
Speaker 3: It is ten to four.

2289
01:51:56,732 --> 01:52:00,053
Speaker 1: The big stories, the big issues, to the big trends

2290
01:52:00,093 --> 01:52:03,813
Speaker 1: and everything in between. Matt Heath and Tyler Adams afternoons

2291
01:52:04,093 --> 01:52:04,612
Speaker 1: used talks.

2292
01:52:04,612 --> 01:52:07,973
Speaker 3: It'd be very good afternoon to you. And we have

2293
01:52:08,133 --> 01:52:11,892
Speaker 3: been talking about sarcoma. It is sarcoma Awareness month this month,

2294
01:52:11,933 --> 01:52:15,293
Speaker 3: and had so many texts came through like this one gidday, guys,

2295
01:52:15,893 --> 01:52:18,852
Speaker 3: my partner had a four point five kilogram sarcoma on

2296
01:52:18,853 --> 01:52:21,452
Speaker 3: his leg. As you can imagine, that's huge. As you

2297
01:52:21,452 --> 01:52:23,333
Speaker 3: can imagine, it was a huge shock at the time.

2298
01:52:23,732 --> 01:52:27,572
Speaker 3: He had radiation and an operation, a few hiccups but

2299
01:52:27,692 --> 01:52:31,972
Speaker 3: got through and the support surgeons, nursing, rehab crew, all

2300
01:52:32,013 --> 01:52:35,213
Speaker 3: the departments were absolutely incredible helping us through. It was

2301
01:52:35,372 --> 01:52:38,372
Speaker 3: heard and a long few months and time for him

2302
01:52:38,893 --> 01:52:43,052
Speaker 3: from being so active and then this hitting affecting getting

2303
01:52:43,053 --> 01:52:46,333
Speaker 3: back to work as a firefighter. He thought his career

2304
01:52:46,412 --> 01:52:48,892
Speaker 3: was over, but his crew supported and we couldn't have

2305
01:52:48,893 --> 01:52:50,932
Speaker 3: done it without them. And now back to the fire

2306
01:52:50,973 --> 01:52:54,973
Speaker 3: crew and all regular checkups continue. It's like you know,

2307
01:52:55,053 --> 01:52:58,213
Speaker 3: you never know where or when again hopefully not, but yes,

2308
01:52:58,293 --> 01:53:01,772
Speaker 3: there is support out there. Sarcoma Foundation is an amazing

2309
01:53:01,893 --> 01:53:04,572
Speaker 3: orc You just have to stay positive and talk talk talk.

2310
01:53:04,933 --> 01:53:07,133
Speaker 2: The sixth says my daughter had to have life saving

2311
01:53:07,133 --> 01:53:09,692
Speaker 2: brain surgery. My wife and other kids went to Wellington

2312
01:53:09,692 --> 01:53:11,772
Speaker 2: with her. I stayed home to earn the money to

2313
01:53:11,812 --> 01:53:14,173
Speaker 2: pay for the motel, etc. My daughter later told me

2314
01:53:14,293 --> 01:53:16,772
Speaker 2: she was confident on the day because she knew I

2315
01:53:16,812 --> 01:53:21,093
Speaker 2: would be there if I could. My absence gave her confidence.

2316
01:53:21,293 --> 01:53:25,892
Speaker 3: Yeah, thank you to everybody who takes through over that hour,

2317
01:53:26,213 --> 01:53:29,133
Speaker 3: some incredible stories coming through. And again thank you to

2318
01:53:29,133 --> 01:53:32,532
Speaker 3: Tom Favor to chat with us again and Sarcoma New

2319
01:53:32,612 --> 01:53:34,972
Speaker 3: Zealand Foundation. They absolutely do incredible work.

2320
01:53:35,053 --> 01:53:37,892
Speaker 2: Yeah, that's right. You can donate now at Sarcoma dot

2321
01:53:38,013 --> 01:53:41,892
Speaker 2: org dot z. Their great New Zealander is doing great,

2322
01:53:42,133 --> 01:53:45,812
Speaker 2: great work, as he said, Tyler, and thanks so much

2323
01:53:45,812 --> 01:53:48,652
Speaker 2: to Tom for talking to us again and today. He's

2324
01:53:48,933 --> 01:53:51,253
Speaker 2: a truly inspirational dude.

2325
01:53:51,333 --> 01:53:53,133
Speaker 3: Yeah, such a good guy and a friend in the show,

2326
01:53:53,133 --> 01:53:54,973
Speaker 3: and hopefully we'll have a catch up with Tom a

2327
01:53:55,053 --> 01:53:56,972
Speaker 3: little bit down the track. He's a very good man.

2328
01:53:57,253 --> 01:54:00,133
Speaker 2: Yeah, that's right, Salok and thank you so much to

2329
01:54:00,133 --> 01:54:02,932
Speaker 2: you for listening to the show. We've loved talking to you.

2330
01:54:03,013 --> 01:54:05,612
Speaker 2: The full show podcast will be out in an hour

2331
01:54:05,732 --> 01:54:09,093
Speaker 2: or so. So if you missed our chats on why

2332
01:54:09,133 --> 01:54:11,412
Speaker 2: it costs so much to build a New Zealand? Is

2333
01:54:11,412 --> 01:54:15,293
Speaker 2: it the consent? Is it the materials? Is it the labor?

2334
01:54:15,812 --> 01:54:17,732
Speaker 2: Because it costs twice as much to build a house

2335
01:54:17,772 --> 01:54:21,093
Speaker 2: here than in Aussy. And also we had a fantastic

2336
01:54:21,133 --> 01:54:23,732
Speaker 2: chat on AI companions, are they good for your kids

2337
01:54:23,812 --> 01:54:24,013
Speaker 2: or not?

2338
01:54:24,333 --> 01:54:24,572
Speaker 3: Yeah?

2339
01:54:24,772 --> 01:54:27,492
Speaker 2: If you miss those and follow our podcast wherever you

2340
01:54:27,532 --> 01:54:30,892
Speaker 2: get your pods. The Poor Homes broadcast over the heather

2341
01:54:30,893 --> 01:54:33,173
Speaker 2: The duplasy Ellen is up next. But right now, Tyler,

2342
01:54:33,613 --> 01:54:36,253
Speaker 2: my good friend, why am I playing this song from Starship?

2343
01:54:36,453 --> 01:54:36,772
Speaker 1: Ah?

2344
01:54:36,812 --> 01:54:40,253
Speaker 3: But we built the city on rock and roll building materials.

2345
01:54:40,253 --> 01:54:42,373
Speaker 3: Hopefully going to cod I cost a lot less. And

2346
01:54:42,613 --> 01:54:45,573
Speaker 3: good luck with your reno mate, Oh, thank you, hopefully

2347
01:54:45,613 --> 01:54:47,413
Speaker 3: that you're going to save a couple of thoul On that.

2348
01:54:47,772 --> 01:54:49,852
Speaker 2: Controversial song, this one, some people say it's got the

2349
01:54:49,853 --> 01:54:54,253
Speaker 2: worst lyrics of all time, but interesting. The lyrics were

2350
01:54:54,293 --> 01:54:56,733
Speaker 2: written by Bernie Teplin. What's his name, the guy that

2351
01:54:56,733 --> 01:54:58,173
Speaker 2: wrote the lyrics for Elton John.

2352
01:54:58,253 --> 01:54:59,933
Speaker 3: Yeah, and he's a very yeah tawkin and he's a

2353
01:55:00,013 --> 01:55:01,133
Speaker 3: very successful lyric writer.

2354
01:55:01,333 --> 01:55:01,653
Speaker 2: Yeah.

2355
01:55:01,693 --> 01:55:04,932
Speaker 3: What a tune and what a show. Thank you very much.

2356
01:55:04,933 --> 01:55:06,213
Speaker 3: As always, we love you guys.

2357
01:55:06,293 --> 01:55:08,493
Speaker 2: Yeah, see you tomorrow. Until then, give them a taste. Hey,

2358
01:55:08,493 --> 01:55:12,173
Speaker 2: week from last, I think I'm looking out of what

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01:55:12,293 --> 01:55:14,733
Speaker 2: that gold to game rich other than a gorgeous sunny Saturday,

2360
01:55:14,733 --> 01:55:21,333
Speaker 2: and I'm seeing that bummer a bummers trapping. It's your

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01:55:21,373 --> 01:55:24,052
Speaker 2: favorite radio station, your favorite radio city in the city

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01:55:24,093 --> 01:55:26,853
Speaker 2: by the main the city of the Rock State. Never speak.

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Speaker 18: To Miss.

2364
01:55:38,253 --> 01:56:40,493
Speaker 22: Waddy, Why Maddie and Tyler readams

2365
01:56:42,133 --> 01:56:44,693
Speaker 1: For more from news Talks at b Listen live on

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01:56:44,812 --> 01:56:47,772
Speaker 1: air or online, and keep our shows with you wherever

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Speaker 1: you go with our podcasts on iHeartRadio.