Full Show Podcast: 11 July 2025

Episode Transcript
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Speaker 1 (00:09):
You're listening to a podcast from News Talk, said b
Follow this and our wide range of podcasts now on iHeartRadio.

Speaker 2 (00:16):
Hell you, Great New Zealand, and welcome to Matt and
Tyler Full Show Podcast number one fifty nine for Friday,
the eleventh of July twenty twenty five. Fantastic show. Today
got very spicy at the end with the cheating and
the sexual stuff. The AI went long, but there was
a great chat there.

Speaker 3 (00:29):
Huge, huge, and just sorry to row back to the cheating,
but my story about a threesome. Yeah, I mean you've
got to hear that to believe it.

Speaker 2 (00:37):
Yeah, We're we're making news talks, y'd be. We're bringing
the sixty back to news talks, he'd be. I actually
tried to keep it out of me. I don't know
if we're bringing it back. I think it's never been here.
We're bringing bringing the sexy to newstalks, y'd be bringing
the leud contents. But yeah, have a great weekend, enjoy
the pod, and yeah, bless you're going to task you

(00:57):
love you.

Speaker 1 (00:58):
The big stories, the legal issues, the big trends and
everything in between. Matt Heath and Taylor Adams Afternoons News.

Speaker 2 (01:07):
Talk said, be.

Speaker 3 (01:09):
Very very good afternoons. You welcome into Friday's show. Great
to have your company. As always, we're if you're listening
in this beautiful country of our Skina.

Speaker 2 (01:17):
Man get a Tyler Gada. Everyone new yesterday how we
got kicked out of here for them to change the
light bulbs? Yeah, why is it so dark in here?
Since they changed the light bulbs? So, I don't want
to be the kind of you know, radio hosts. You know,
I guess you'd call them a hosking that complains a
lot about the setup. I'm not going to be that
kind of Newstalks.

Speaker 3 (01:33):
You don't want to be that guy.

Speaker 2 (01:33):
You don't want to be a husky. No, but I've
got to say it's very dark in here.

Speaker 3 (01:37):
Well, we were promised when they were changing the light bulbs,
and it took them about three hours to do that,
because it's quite an advanced set up in here, that
it was a dim yellow and it was going to
be a brighter yellow. But for you've decided, because we've
got these god awful TV lights that operate in here,
you're you're rocking those. I feel like I'm getting a
tan as we speak from these lights.

Speaker 2 (01:54):
I believe to broadcasts professionally, you need to have your
written as being blown out by bulbs. It keeps you,
keeps you awake.

Speaker 3 (02:01):
I can't actually see anything. Is this is too bright?

Speaker 2 (02:03):
I'll do whatever it takes to deliver the best possible
Matt and Tyler Afternoon on News Talks ever I can.
If that involves blinding you Tyler, then that's what I'm
going to do.

Speaker 3 (02:12):
That is the Matt Heath promise. Right to today's show
after three o'clock, as we always do on a Friday,
New Zealander of the Week.

Speaker 2 (02:19):
Yeah, who will it be? There's a lot a lot
of key wees have put the hand up this week,
but it hasn't been decided. So nine two nine two.
If you've got a nomination for Matt Tyl Afternoons New
Zealand of the Week, we'd love to hear it.

Speaker 3 (02:32):
Yes, Also after three o'clock you might have seen this
story a exchange between a company boss and a recently
fired employee. It's gone viral. The messages were shared by
a guy called Ben Askins. He's a UK workplace expert
and we'll read you out that text exchange in its entirety.
It's golden. But we want to ask the question, what's
the worst text you've ever got from a boss?

Speaker 4 (02:51):
Yeah?

Speaker 2 (02:51):
And as a boss, what's appropriate to text your workers?
What's the line looking forward to that shat? What's after
two o'clock? Tyler?

Speaker 3 (02:59):
What makes someone cheat in a relationship? So an article
in the Herald today by sex therapist. She's been in
the business forty five years. She thinks she knows why
people cheat and how to avoid infadelity. But we're going
to ask a question why do you cheat? Or if
you have cheated, why did you do it? And what's
it like being cheated on?

Speaker 4 (03:17):
Yeah?

Speaker 2 (03:17):
And also we're going to mix that in with a
study that has highlighted how marriages tend to break up,
because when marriages break up, the study shows it puts
huge financial strain on kiwis in their forties and fifties,
especially men, And the biggest course of divorce, the biggest
cause of divorce, interestingly there is men losing their jobs

(03:38):
and becoming poorer than their partners.

Speaker 3 (03:40):
Yes, yeah, that is. I mean, that's a hell of
a study.

Speaker 2 (03:43):
And we don't know if that's the status lost or
just that men start to behave in a crazy way
when they've lost their job. Who knows. But the second
biggest is in fidelity. So you know, first of all,
we want to talk about have you cheated on your
partner or an ex partner? Have you been cheated on?
What are the signs? Doesn't matter? Can you forgive? And
would you forgive so you don't hit those financial troubles

(04:05):
that you might in your forties and fifties, stick with
the one person you're going to retire a lot richer. Yep,
you go through one, two, three, Oh boy, that rarely
cuts into your into your wealth.

Speaker 3 (04:16):
Bankruptcity. Yeah that is after two o'clock, looking forward to that.
But right now, how easily do you think you can
spot AI? So, Matt, last night you were knee deep
into this, and in fact you wrote an article on
your substack. If you want ever read of that, go
to Matteath dot substack dot com. I have had a
read of it. It was a book that you're reading
that you suspected was written by artificial intelligence.

Speaker 2 (04:39):
Yeah, that's right. And look libraryes in New Zealand of
an ouncesdate that they're not taking any AI books. Any
AI is written by books. And you know I wrote
a book recently, and you have to sign your contract
that it's not created by AI. But this book I
was reading, Steering Wheel the Driver's Command Center. No, hang
on a minute. The book was called One Second. It's

(05:00):
got quite a punishing name. This is the kind of
kind of stuff I read. How a Formula one car,
How a Formula one race car works, What makes it
the fastest car machine in the world, Engineering science and
innovation behind building the ultimate racing vehicle. That's the name
of the book. It's a hell of the title allegedly
by Elliott Vaynor, right, But as I was reading it,

(05:21):
I started to realize that it was written by AI.
It was so clearly written by AI, and it got
me thinking, how do I know it's written by AI?
And so I did a bit of research when I
couldn't sleep last night and wrote this article and I
found out a bunch of things to look out when
it comes to AI. And so we just want to

(05:42):
talk about AI. Basically, are you getting better at spotting AI?
And but look, does it make you think less of
people when you realize that that what you're reading has
been generated by AI? Because it certainly made me feel
like I didn't want to read this book anymore. Yeah,

(06:03):
you feel Rick Rubin the fantastic rock producer. Music producers,
produce all kinds of music. He's the most famous producer
in the world. I'd say maybe maybe Quincy Jones, but
Rick Rubin fantastic, done incredible work with Johnny k. Cash,
any band you can name, Rick Rubin's made them better
when he's produced them. And he said, the difference between
AI and a normal artist is that AI will never

(06:24):
have a point of view and humans will always always
have a point of view. And the thing with AI
is so bland and so vaguely positive that it doesn't
doesn't have the human experience. It doesn't share the human experience,
and as humans, we're always trying trying to look for
that human experience.

Speaker 3 (06:43):
Yeah, when you're reading something like a book, I mean,
like you say, that's what you want out of a story, right,
or even one of these books about how a formula
one car works, and it seems very scientific, but you
still want a bit of heart, You still want that humanness,
the human element in there. And dare I say it,
maybe even a few mistakes as you're reading along, or
a few things that you question about that AI just

(07:07):
removes entirely because it is trying to be too perfect
or it is trying to be so robotic that it
takes all emotion out of what it's trying to do.

Speaker 2 (07:18):
Yeah, and are you worried about that? If you're using AI,
do you try and hide the fact that you use AI?
So really we want to talk about one hundred and
eighty ten eighty everything AI? But are you using AI?
How are you using AI? And if you are using AI,
are you trying to hide the fact? And do you
think less of people that use ALII? I think I do?
Shall I outline how you spot what I found in

(07:40):
this article?

Speaker 4 (07:41):
Well?

Speaker 2 (07:41):
What I found writing this article at three am this morning?

Speaker 3 (07:43):
I want to hear that.

Speaker 2 (07:44):
Yeah, shall I? Should I do it now? Or should
we come back to that.

Speaker 3 (07:47):
Let's play some messages and come back to that, because
a lot of people want to hear that will be
very useful back, I can you hear from you?

Speaker 2 (07:52):
I've got seven things to look out for that that
will indicate to you that you may be reading something
that's generated from AI. This stixster says, stop dissing Hosking.
He was there before you. Two guys, there's no reason
to stop dissing him just because he was here first,
because he's old, you can still just be I wasn't.
I wasn't dissing him. I just said he complains a

(08:12):
lot about a studio.

Speaker 3 (08:13):
Yeah, he likes a light bulb? What's wrong with that?

Speaker 4 (08:15):
Yeah? Right?

Speaker 5 (08:15):
Oh?

Speaker 3 (08:15):
One hundred and eighty ten eighty is the number to
call a Do you think you're pretty good at spotting AI?
If you do think you're pretty good, how do you know?
And have you been fooled by it in recent months
or even the last years. It's getting increasingly better. Love
to hear from you. Nine two nine two is the
text number. It is fourteen past one.

Speaker 2 (08:32):
In fact, that text stopped dissing Mike. He was there
before you, two guys, is such a vague and bland
opinion that maybe that is AI might be from Mike
actually as Mike AI.

Speaker 1 (08:43):
The big stories, the big issues, the big trends, and
everything in between. Matt Heath and Tyler Adams afternoons used
talks that'd be.

Speaker 3 (08:52):
Very good afternoons you seventeen pass one and we've asked
the question, how well do you think you can spot
artificial intelligence or AI? Particularly when it comes to creative content,
and are.

Speaker 2 (09:02):
You seeing it more and more? Well, are you recognizing
it more and more? Are you getting trained to recognize
when you're reading something that is AI and not not real?

Speaker 6 (09:12):
Yeah?

Speaker 2 (09:13):
And do you judge people? You know, do you get
less from something if you know that it's that it's AI?
Eight hundred eighty ten eighty is the number?

Speaker 3 (09:23):
Just going to follow up question here because the text
has just come through, And I wholeheardly agree with this.
Is that giday, Guys. I like to think I'm pretty
good at spotting a I. I do get fooled on occasion,
but try to follow up with other sources. My biggest
worry is my mother who often sends me articles that
she finds on Facebook with images that are very very

(09:43):
clearly artificial intelligence. It's a massive worry, and that is
a big worry for a lot of people out there.
And I've got to say, I'm not going to name them,
but I've got family members who send me articles from
time to time or images that on first glance might
seem like that real but if you see enough AI,
you know, they send through that article and instantly pull
it up say that's an AI image and this is

(10:04):
not a real article, and then have to go back
and have that embarrassing conversation and say, hey, just you
don't have to be worried about this. This is Ai.
This was written by a robot. That's not a real image.
And I'll tell you know that's that person who's got
six fingers. You can see that quite clearly.

Speaker 2 (10:18):
Yeah, you don't need to worry. This isn't happening. This
is generated to cause fear in you for whatever reason.
This says AI has an accent. Once you hear it,
it's very obvious. And I think that's true. And when
you see it, in my opinion, you get annick around
it is there's a blandness, there's a vagueness about it.
There's there's a lack of point of view about it
that there's a bit of a nick. And there's a

(10:40):
very successful New Zealand comment called Melanie Bracewell. She's become
very successful in the States, I mean in Australia, and
she she posted something on X the other day and
it was essentially saying that she that basically she was
talking about comic scance, right, and she thought she thought
it was a similar thing I'll just find, I'll just find,

(11:01):
I'll just find find what she said here.

Speaker 3 (11:06):
One second, he's got reams of research in front of
them people, he's been knee deep in this all night.

Speaker 2 (11:10):
Well, I'll have to paraphize it if I can't find.
Oh ye here she goes. She says, AI is becoming
so recognizable. I feel like it will eventually give people
the same ec they used to see from seeing comic
Sands font in the wild. I feel like common Sands
was so hated because it was trying to look like
human handwriting, but it was too clean around the edges,

(11:32):
and we don't like It's called the uncanny valley. We
don't like things that get too close to human but
aren't there because we can spot the differences. And I
feel like that is what's happening with AI at the
moment when you see it, especially on LinkedIn. But I've
got a number of things you can look out for,
Okay for AI here yep. Frequent M dashes M dash Yeah.

(11:52):
Do you know what an M dash do not?

Speaker 3 (11:54):
Well?

Speaker 2 (11:54):
Large language models sprinkle M dashes far more than we
humans do, even in places where a comma or a
full stop would feel more natural. And M dash is punk.
It's a punctuation mark used to indicate a break in
a sentence, so it replaces parentheses or colons, and so
it's it's like a hyphen, but it's longer. It's the

(12:15):
width of an M. That's what it's called an.

Speaker 3 (12:17):
I'm with you now, yeah yeah.

Speaker 2 (12:19):
And it's hard for humans to do it, to type
an M dash because we have to go, say, on
a MAC it's option shift hyphen, right, So humans are
too lazy to do it, even if it's the perfect
thing to use. But it's nothing for AI, a large
language model, to use the the M dash. So the
M dash is everywhere, so that.

Speaker 3 (12:35):
That is a great thing to look out for. The
M dash.

Speaker 2 (12:37):
That's something to look out for. Also, and look, if
you want to read this list, it's it's on the
article I write. It's not just X, it's y parallel structure.
So so AI often uses that. It's not just it's
also it's the go to sentence structure when you start
noticing this. AI it does that so much. It's not

(12:58):
just it's something else, right. Lists of threes or fives,
triplets are very common that they're common in humans. We
love triplets, triplets like a joke is often on the third,
but there's there's a there's a way, there's a there's
a clockwork like regularity that AI uses, right, vague, upbeat
jargon and fuller adjectives. It's like there's an over alliance

(13:20):
and words like innovative, elevate, robust, practical, solutions, signal safe,
non it's non committal vocabulary.

Speaker 3 (13:28):
I've seen a lot of that from AI writing.

Speaker 2 (13:30):
Yeah, there's there's chronic restatement and over explanation, and it
just fails the vibe check. And also there's forced or
odd and analogies. So like say, for example, here in
this book I was reading last night, that was clearly AI.
It's sort of jumped out me, like here we go,

(13:53):
here we go. Steering wheel the driver's command center. The
steering wheel of a Formula one car is not just
a tool for driving m DASH. It's a cockpit within
the cockpit, a hub of control that places entire cars
complexity at the driver's fingerstips tips the steering wheel. If
a Formula one car is not just a tool for
turning m d ASH, it's a cockpit within the cockpit.

(14:15):
If you see something like that Yeah, it's a good
chance it's AI.

Speaker 3 (14:18):
That is such an odd restructured sentence.

Speaker 2 (14:20):
They're all clues it might not be. But if you
go through the list and you get a few of them,
you start to spot AI.

Speaker 3 (14:25):
Yeah, I'll wait one hundred, A ten eighty. How good
do you think you are at spotting AI? And do
you use AI regularly in your business? And if you do,
do you keep it quiet? Is there a bit of
a taboo around using AI? I will mention I've seen
this pop up again and again online of use of
AI when replying to emails or candidates for jobs. So,

(14:47):
and this is where AI goes wrong. That someone's applied
for a job and I've had an email back saying
We're really sorry you didn't get the job. But sometimes
they accidentally leave the chet GPT prompt within the email.
But I know for a fact, and the chat GPT
prompt was please respond back to this potential candidate with
a polite bit firm you will not be proceeding further

(15:10):
with your interview and with your application. But it is
such a cold, cold thing to do to use AI
for something like that. But maybe would.

Speaker 2 (15:18):
You're rather no reply or an AI reply, because that's
the worst thing is when you apply for a job
and nothing comes back.

Speaker 3 (15:25):
Yeah, you're right. I'd prefer AIO of the ghost ting,
but if you use it in your business or place
of work, love to hear from you. Oh eight hundred
and eighty ten eighty is a number to call. Twenty
three past one, putting.

Speaker 1 (15:36):
The tough questions to the newspeakers the mic asking breakfast.

Speaker 7 (15:39):
It looks like Doc is going to do a U
turnover those lizards. They initially told mccray's mine in Central
Otago no, they couldn't expand ten thousand lizards might die.
But then after media attention yesterday, they've taken another look
at the application. TAMA Paul Tucker is the Conservation Minister
and with us is it going to be a yes?

Speaker 8 (15:54):
Well, that's the matter that DOC and Oceana worked on
at a very productive meeting. I expect that they're going
to progress that application very swiftly.

Speaker 3 (16:01):
Did you tell Doc to have another look at it?

Speaker 8 (16:03):
I found out about this matter and I've said to
Dot what has happened here? Start seals in miscommunication. They
weren't clear about information requirements and they declined it too.

Speaker 1 (16:13):
Quickly hither duplessy Lan on the mic asking Breakfast Back
Monday from six am with al Vida Retirement Communities on
News toms'd.

Speaker 3 (16:21):
Be very good afternoon. We're talking about AI or the
use of AI. How well do you think you can
spot AI, whether it's a book, an image, or an article. Well,
eight one hundred and eight ten eighties number to call.

Speaker 2 (16:32):
Welcome to show. Tanya. You want to talk about AI
and the world of real estate agents.

Speaker 9 (16:39):
Well, I sent you a text, but now I realize
them online but I yeah, I don't.

Speaker 10 (16:47):
I think it's cheating.

Speaker 9 (16:50):
I might be old sessioned, but I still write all
my own ads and use. It takes me a lot longer,
but I just believe that it well authentic. It's it's
the real may And it takes longer, but I'm going
to keep doing it as long as I and I
can often see when things when things aren't to the

(17:12):
point where I've put them into a into an AI checkup,
which I didn't know existed, but I tried it and
sure enough, it came up ninety percent AI. So then
I put my my stuff in and it came up
written by a human.

Speaker 11 (17:26):
So there you go.

Speaker 2 (17:27):
So do you judge other people if they're using AI?
Do you think less of them? Look?

Speaker 9 (17:35):
I try not to because they're all individuals and people
do it for different reasons, But I, yeah, I mustn't that.
I just think it's a little bit chead, especially when
it's a maybe one I read with a was a
comment going back to a vendor just replyed about a testimonial,
and that should be sort of heartfelt. You know, you

(17:56):
shouldn't need AI.

Speaker 4 (17:58):
To write that.

Speaker 9 (17:59):
Maybe I could understand what that, but you know, to
go back with a reply to someone who's given you
a compliment, Surely you could write something yourself.

Speaker 12 (18:08):
Without Yeah, we use Would you ever use it?

Speaker 3 (18:12):
Do you ever think you'd use it? Tanya to say, So,
you've had a massive day and you've got a bit
of writing to do, and you've got a bit of
testimonials to write or to get another listing up there,
and your brain's a bit mashed. You think I'm just
going to use chet GPT to give me a bit
of a hand to have a think about how to
write this. Quite often, when it spits out what you
ask of it, it's it's absolute garbage. But that just

(18:32):
gives you a bit of a structure to work with.
Is that would that be something you'd ever tried.

Speaker 11 (18:38):
I've never.

Speaker 9 (18:38):
I've never done it. I stay up late and if
I can't, if I have writer's block, I just get
up early enough when it comes to me the next morning.
That's honor, so you know. And that's how that's how
I run my business. And I'm going to keep doing
it like that. If people want to use it that
it's up to them. But yes, not for me. But
who knows down the track?

Speaker 13 (18:57):
But not now?

Speaker 6 (18:59):
On?

Speaker 2 (19:00):
T't you? And when you say that, you can spot
it before you put it through an AI check her?
Is there anything particular that stands out to you that
suggests it's AI? Is there anything you look for? Is
it just a vibe?

Speaker 10 (19:14):
It's really just a vibe.

Speaker 14 (19:15):
It's just a vibe.

Speaker 9 (19:16):
I think if you've you know, if you've written and read,
you just click it up. It's almost like a little
bit food perfect and we're not and we're not perfect.
We're humans, you know, and so I might. I'm not
going to judge someone for not having something perfect, but
I probably do. It's a little bit lazy, a little bit,

(19:38):
you know. Authenticity is what it's all about I reckon
these days because there's so much fakery around.

Speaker 2 (19:43):
I don't want to be yeah, yeah.

Speaker 3 (19:47):
I like your soul, Tanya. You know I wish I
was a bit more like that. I don't use AI
hell of a lot, but I you know, I tap
into it from time to time.

Speaker 2 (19:54):
Thank you so much for your call.

Speaker 10 (19:55):
Now.

Speaker 2 (19:55):
When I wrote this article last night on AI for
my substack, I got all these comments the next day
that were basically, oh, we know that's not AI because
there's so many spelling errors. You know, it's for the
Titania's point, it's not perfec. I wonder if people are
going to start putting mistakes in because I understand in music,
because AI music is produced and it's in a certain

(20:16):
way that that bands now are trying to bring a
little bit of mistiming in the drums and playing the
guitars a little looser, just to indicate that it's a
human that's making it, because there's such a stigma around
around AI.

Speaker 3 (20:28):
To err as to human. And I think you bang
on that those mistakes is kind of what makes us
who we are. Whereas CHET, GBT and the like try
to get it perfect and it just feels cold.

Speaker 2 (20:37):
Although I have I'll give an example for this book
that I was reading last night and it made me
realize it was AI. I've got an example later on
about it. And one of the things that you can
spot and AIS forced or odd analogies or similes. AI
frequently inserts strained comparisons that try to sound profound but
land awkwardly. Yeah, I listen to listen to this here.

(20:58):
And a sport defined by speed and danger safety is
the invisible hero that allows drivers to compete at the
limit while returning home unharmed. It's a testament to the
ingenuity and dedication of the Formula one community, proving that
even in the pursuit of speed, human life remains the
highest privatity. It's so bland. But and a sport defined
by speed and danger safety is the invisible hero.

Speaker 3 (21:19):
What a terrible analogy.

Speaker 2 (21:21):
But how is it? How is it invisible? You've got
they're wearing helmets, they've got the halo, they've got the hands,
you know, the hidden neck support. They've got fire retardant
suits and gloves. They've got a big green Aston Martin
safety car following them. It's not the invisible hero. If
you watch if one there's safety everywhere.

Speaker 3 (21:41):
Yeah, AI, you're an idiot.

Speaker 2 (21:43):
So that's that's just a stupid, bland thing and an
exampt like a forced analogy that makes no sense.

Speaker 3 (21:51):
Ye love it right. Keep those calls coming through on
eight hundred and eighty ten eighty headlines coming up with Wendy.
Then we'll get to more of your calls. It is
twenty eight to two.

Speaker 15 (22:02):
US talk said the headlines We's blue bubble taxis it's
no trouble with a blue bubble of forty ten year
old has been jailed for three years and three months
for the fatal stabbing of a fellow teenager at a
Duneedin bus hub. The teen whose name is suppressed stamped
sixteen year old n Aretana McLaren on Great King Street.
In May twenty twenty four, warnings from Civil Defense. As

(22:27):
the top of the South Island prepares for more rain,
Met Services issued a red heavy rain warning for Tasman
off the back of three weeks of rain saturating the region.
Nelson Tasman's under a state of emergency and has activated
its Emergency Operations Center. The wild weather hitting Northland has
cut power to almost five hundred Top Energy customers after

(22:48):
a falling tree struck power lines in Fangarawa in the
Far North. The power went out shortly after eleven thirty
this morning. Brazil has vowed to implement a tit for
tat policy if Donald Trump follows through on opposing fifty
percent tariffs on Brazilian exports. The Brazilian president says he
would like to find a diplomatic solution by August firs,

(23:08):
but if not, the law of reciprocity will be put
into place. Plus a sad lass why this prostate cancer
treatment is disappearing in New Zealand. Read more at ends
at Harold Premium. Now back to Matt and Tyler.

Speaker 3 (23:20):
Thank you very much, Wendy, and we are talking about
have a chat with.

Speaker 1 (23:24):
The lads on eight hundred eighty ten eighty Matt Heath
and Tyler Adams afternoons used talk.

Speaker 3 (23:29):
Sa'd be very good afternoon to you. It is twenty
two to two and we're talking about artificial intelligence. How
well do you think you can spot it?

Speaker 2 (23:36):
Do reckon? If we replace you with Ai, Tyler, we
wouldn't play two sets of ads in a row with
you saying something kind of weird in the middle.

Speaker 3 (23:42):
I don't want to check the person under the bus
who was responsible for that. Weirdly, it wasn't you for once,
but whoever did it is an absolute gem of a person,
so I wouldn't dare do that to them.

Speaker 2 (23:52):
This text says, hey, guys, AI is fine to use
in business setting. In a business setting, however, I would
draw the line at using it to craft personal emails
or rejection letters to candidates in the job, etceter. Where
it is most useful is as an IF efficiency multiplier.
For example, I could spend hours writing a technical script
to achieve something, or I can get AI to do
it in a few moments and then troubleshoot it because AI,

(24:13):
more often than not will get something wrong anyway. Cheers. Next,
So that goes to talking about the rejection letter.

Speaker 3 (24:20):
Yeah, and I've found it because I didn't articulate it
very well last time. So this was a legitimate rejection
email sent to an applicant in the years, So I'll
just read it out. The headline of the email is
application update for position Hi blank, Thank you for applying
for blank. Unfortunately we will not be moving forward with
your application at this time. Then it goes into bracketed
rejection message. Write a warm but generic rejection email that

(24:45):
sounds polite yet firm. Do not mention specific reasons for rejection,
make the candidate feel like they were strongly considered, even
if they weren't remember to use candidate name in company
name variables. Then it finishes off with we appreciate your
interest and wish you all the best and your future.

Speaker 2 (24:59):
Dat it's idiot, But that's dirty.

Speaker 3 (25:02):
That is very dirty.

Speaker 2 (25:03):
That's dirty just to pretend you care when you so
clearly don't.

Speaker 3 (25:07):
Yeah, what a numsk.

Speaker 2 (25:08):
Well sham, welcome to the show. You're a big fan
of AI?

Speaker 6 (25:12):
Oh?

Speaker 14 (25:12):
Yes, yes, I love it?

Speaker 2 (25:14):
Yeah, and tell us how you use it, shim.

Speaker 7 (25:17):
Look.

Speaker 14 (25:19):
One of the ways that I used that was I
actually wrote my own book with it. So probably when
AI started about two years ago, I thought, well, I'm
going to write my own memoir. So I basically listed
all the events of my life that I could remember
and plugged it into AI. I then got family members
and I asked them five questions about where they were born, schools,
they went to things they had done, plugged that into AI,

(25:42):
and from there I printed a book about three hundred
pages it's available on Amazon.

Speaker 2 (25:47):
What's it called, shim.

Speaker 14 (25:49):
It's called Halftime because I was forty five at the
time and I thought, you know, I went into AI
and statistically speaking, I thought I was going to make
it to ninety so or AI named it half the
time and in a way it went.

Speaker 2 (26:01):
How many units have you shifted so far?

Speaker 14 (26:02):
Shem sitting on a big fat zero at the moment?

Speaker 2 (26:06):
Okay, right, so when you actually now you go, I.

Speaker 16 (26:09):
Actually gave it out it.

Speaker 14 (26:11):
I printed about twenty five copies and gave it out
for Christmas one year, much to my family's horror.

Speaker 2 (26:17):
And how does it read, Jim.

Speaker 14 (26:20):
It's okay, it gets a bit clunky, you know that
AI language. Yeah, it was a couple of years old,
and the kind of model has changed since then. But
I mean I then went put pictures in it and
my school reports. So it's quite a cool little memoir now,
But that's not something you can really sit down and read.

Speaker 3 (26:37):
I'm just having to look at the cover. Halftime. It's
called written by Sam Bainbury. And you've made it pretty
clear right on the cover there that it has written
by chet Gpt. So that's good. You're making it pretty clear.
That you had some help from AI.

Speaker 14 (26:50):
Definitely, definitely, Well, there was, and it saved me so
much time. The hardest but actually was my grandparents because
they've been in the war and I got some really
good information from there. But the hard but was AI
recognizing that and bringing that and making it nice and small.

Speaker 2 (27:06):
Now you've you've clearly is Tyler pulled it out, you know,
signaled that it is AI. So I was reading a
book last night, How a Formula One Race Car Works?
What makes it the fastest car machine in the world,
Engineering science, innovation behind building the Ultimate racing Vehicle, written
by Ali Vayner, And I'm absolutely positive it's AI. But
there's nowhere it says it's AI, and I can't find

(27:28):
the guy I've tried to stalk on social media doesn't
seem to exist. How do you feel about that? How
do you feel like about a book on Amazon that
is AI but it's not marked as AI.

Speaker 14 (27:39):
I think you've got to be pretty honest there.

Speaker 4 (27:42):
Yeah.

Speaker 14 (27:42):
I'm a school teacher, and so I think you've got
to be honest about when you use AI. And that's
what we teach our students. So it's about being really
clear when it's used, why it's used, and how it
was used, and.

Speaker 2 (27:53):
The use is that causing problems for you as a
school teacher, the availability of AI for students.

Speaker 14 (27:58):
I'm probably more intermediate, so not so much there. But
I've got kids, and my kids have been through college
and been through high school. They're pretty empty. It actually
that they know that. The schools do a pretty good job.
I think of drumming and around the importance of your
own work. And because i'm kind of a week, we
give your day for listen up. I think a lot

(28:21):
of schools do a really good job of being of
making students aware about what's appropriate and when it's appropriate
and how can we use Yeah, it.

Speaker 2 (28:28):
Sounds like you're about you're boarding a plane or something.
That's what.

Speaker 16 (28:34):
He down to cross.

Speaker 3 (28:35):
Oh, very great city.

Speaker 2 (28:36):
Well we'll let you get on. We'll let you get
on that plane then, Jim. But thank you so much
for talking to us. We really appreciate it. And I'll
be giving you a review of your book and good Reads.

Speaker 5 (28:46):
Oh that'd be great.

Speaker 3 (28:47):
Yeah, good luck, Jim, Thank you very much. What a
great caller. Hey, just before we get on to some
more calls, we mentioned about an hour ago that there
were reports of widespread power outages and total on, so
we're the latest story that's just come through to us.
Reports have come in of power outages and total on
are affecting traffic lights, so this is according to power
Codes website, several hundred properties in Mount Monganui out to

(29:11):
takey Temonga and Papa Moa Beach are affected. So multiple
cars are going which you have a way they want
to go according to a reson and pulling out in
front of people and not stopping because those lights are out.
A Powerco spokesperson said it was a transpower outage caused
by a fault at the Mount Monganui substation and they
are investigating it. There is no indication yet where that

(29:36):
power may come back on, but we will keep you
updated as the afternoon progresses, so stay tuned for that.
Right back to AI, are you able to tell what
is AI content or not? Eight hundred and eighty ten eighty.

Speaker 2 (29:49):
So you're you're doing some work in this field.

Speaker 17 (29:53):
Yes, And your previous caller is my worst nightmare. I'm
a purist when it comes to writing books.

Speaker 6 (30:02):
I have.

Speaker 17 (30:03):
I've been working towards trying to get a meeting with
Minister Scott Simpson to meet with authors and publishers. He's
the Minister for Communication and that's around the copyright and
the the laws that are currently not probably fit the

(30:25):
purpose for AI. But there's a current document out by
doctor Shane Retti, so he was a bit of a surprise.
They must be sharing the load Parliament and he's put
out two documents and they're around a New Zealand Strategy
for Artificial Intelligence and responsible AI guidance for businesses. Right,

(30:49):
so that's very pointy headed stuff. When I was when
I was reading through this, myyes glazed over and I went, oh,
this is a bit of a soulless sort of documentation.
And in the Minister's forward to those discussion papers, let
me quote here, he says, this strategy document was written.

Speaker 6 (31:13):
With the assistance of AI.

Speaker 17 (31:14):
This demonstrates our commitment to walk the talk on AI
while maintaining appropriate safeguards for sensitive information. This reflects our
commitment to transparent and responsible use of AI in government.
The future is AI powered and New Zealand is ready
for it. Well, I would say, how much of this

(31:35):
report actually is written by AI and do they really
understand Okay, this is saying that we'll give you safeguards
to businesses. But when i'm the issue I'm talking about
is protecting authors and publishers from work that is taken
which trains AI. So for AI to give you the

(31:56):
data they need to have good quality writing and New
Zealand authorsm amongst others around the world have been caught
up and caught what they call scraping. So AI can't
create new content that you know, that's got to come
from somewhere, and these are issues for the publishing.

Speaker 18 (32:18):
Industry and the.

Speaker 17 (32:23):
Yeah, you can't accelerate content creation. You've got to get
that information from somewhere. So I thought it was very interesting.
You know, obviously not everyone's going to rush out and
read Shane Rettie's discussion paper, but I was just making
the point that he's talking about AI and her safety
of it, and then he used AI in the report,

(32:45):
and I just think as a minister, it's kind of
getting into a bit of a gray area there. How
much of AI do you used to you're a minister
of the crown, you are creating new laws for our citizens,
and how much of AI.

Speaker 5 (33:02):
Do you trust?

Speaker 17 (33:02):
I mean, you know, can AI be trusted? I mean,
we did book club the other night and I listed
a book and up on the Facebook. You know, underneath
it there's AI Suggestions And when I looked at it,
it was the same title, but it was a completely
different books.

Speaker 2 (33:16):
So do you do you find it interesting so that
you could tell that that was AI before you read
the piece that that admitted that it was AI. You
could sense it. And what do you think you sensed
about it?

Speaker 10 (33:31):
It's flat.

Speaker 17 (33:31):
It's flat writing you were talking about before. It's kind
of like a soulless writing. You know, AI doesn't give
your opinions. So when you're reading and you read something
that's flat, not descriptive, and the sentences I am getting
into technical stuff now, the sentences are very disjointed and
don't always slow and connect. And it's definitely there's a

(33:54):
disconnect between each paragraph.

Speaker 2 (33:56):
Yeah, that's sort of vague, upbeat jargon and and and
and this and these things to look out for that
that I listened in this article and fuller adjectives. And
there is a lot.

Speaker 17 (34:07):
Of a lot of writing has descriptives. It's a conversational
style and you can tell it just.

Speaker 2 (34:16):
Got and there's no point of view, so there's no,
humans love to write about themselves and share their own
story and their own location and families, all that kind
of stuff. And AI has no point of view, so
it doesn't give you who it is because it is nothing.
And so if you're reading something, and what we find
is meaningful when read something as finding out the human

(34:37):
part of what's being written. Even in something like a
policy document, there's still often a personal part to it
and the person's story. And you start as a human,
you spot it, it hits the uncanny valley and you go, this,
this is so vague, This is so bland. This is
so strangely over explained and vaguely vaguely talking about the

(35:02):
issue and overly positive positive fashion. Hey, thank you so
much for it, for you for your call, So I
really appreciate that. And it's very interesting work that you're
involved in. So thank you so much.

Speaker 3 (35:12):
Yeah, great insights. Hey, I just got a text here. Guys,
don't tell us about your substack without telling us its
channel name, which is a fair point. So to go
have a read of Matt's article, go to Matt Heath
dot substack dot com about the formula one book that
you were reading that was highly likely written by AI.

Speaker 2 (35:30):
Yeah, and you know that my article is not written
by AI because of the huge amount of spelling her.
Isn't it that everyone keeps pulling out?

Speaker 3 (35:38):
Yeah? It is nine minutes to two back very shortly
with more of your calls.

Speaker 1 (35:44):
Matt Heath, Taylor Adams taking your calls on eight hundred
and eighty ten eighty. It's Matt Heath and Taylor Adams
Afternoons News DOGSB.

Speaker 3 (35:52):
News Talks THEREB. It is seven to two.

Speaker 2 (35:55):
Hi. AI isn't perfect, but it saves time, helps us
learn faster and can do jobs that keep people safer.
It's a tool, m Dash. It all depends how we
use it. That was written by AI and sent him
from Allen.

Speaker 3 (36:07):
Thanks Alloy.

Speaker 2 (36:08):
That's got all those things that I was talking about
before and including the MDET, hasn't it.

Speaker 3 (36:12):
It's sort of sort ofally written.

Speaker 2 (36:14):
Vaguely positive and working the threes. AI isn't perfect, but
it's got the x x Y parallel structure in there
as well, classic AI lifeless. This Texas is and I
think this is this is key. Some dating sites off
of the option of enhancing your profile using AI. It
makes the person sound like a boring unreal character in

(36:36):
a romance novel. I'll be interested to know the stats
on how much AI writing on dating sites affects people's
willingness to go further and contact them. Richard, Welcome to
the show.

Speaker 19 (36:50):
Good day, guys. I'm trying to do something with a
well known New Zealand company at the moment. One of
the things they asked for was a health a safety
plan and I've never done one before. I mean I've
never had to. And I had a look online on
Google and you can get them, but you've got to
buy them. So I went on chat GPT and I
am to them, please produce a health and safety planet's

(37:11):
compliant with your Zealand law. And instantly it came back
with this five page document that was ninety percent perfect.
And all I did was just went through and I
cleaned a couple of things up, changed a few things.
It was even format of properly similar to the company.
They came straight back and said, yeah, we love it,
it's great.

Speaker 2 (37:26):
All done. Do you think did you did you tell
them that you'd used AI to generate it?

Speaker 19 (37:31):
No, because I want to look generous.

Speaker 2 (37:34):
Do you think they were do you think they were
being reticent to use it if you said that GPT
had generated ninetyer cent of it.

Speaker 19 (37:44):
No, because I think we're just ticking boxes. They just
want out and save the plan.

Speaker 2 (37:47):
Yeah, themselves, and that's when ai AI is great for
ticking boxes. Richard that that's a very good point. Sorry,
you can do you think so? Yeah?

Speaker 19 (37:54):
It got me thinking about where AI might go, and
I love a good movie. For example, I sort of
started thinking, I wonder how many movie producers from the
eighties and early nineties started looking at the old contracts
to see if they might accidentally own the likeness rights
to people like Tom Hanks and Tom Cruise, because you
know that would be worth a huge amount of money.
And just a couple of nights ago, someone sent me

(38:16):
a AI generated film. It's a YouTube video. It's an
AI generated film completely and it's titled something like Yettie
Discovers a Woman in the Forest. It's one of the
most amazing things I've ever seen. It's very funny too,
in case you'll never look at it, and it's it's
got errors in it, it's got things that you notice.

(38:38):
You know, it's not quite there, but it's ninety five
percent there in terms of being an acceptable way of
doing things and absolutely extraordinary. And I suddenly realized that
AI is already where I thought it end up, and
that is big Foot and Bobes.

Speaker 2 (38:56):
Much for your call, Richard, and look, it's only going
to get better at that. But we've got so many
calls coming through in text shore we continue this after too.

Speaker 3 (39:05):
Absolutely we should and we want to hear from you.
Oh eight hundred and eighty AC. And also straight after
two o'clock we are going to catch up with civil
defense in the Nelson, Tasman area. There is a red
warning in play, some more heavy rain on its way,
so if you're in that area, stay tuned and we'll
give you the information you need. New sport and weather
coming up. You're listening to Matt and Tyler. A very

(39:26):
good afternoon to you. Great to have your company as.

Speaker 1 (39:29):
Always, talking with you all afternoon. It's Matt Heathen, Taylor
Adams Afternoons News Talk ZIVY.

Speaker 3 (39:39):
Very good afternoon to you, welcome back into the show.
Great to have your company as always. Very shortly we're
going to get back to our discussion about artificial intelligence.
There's so many people who want to have a chat
about that. But first warnings from Civil Defenses. The top
of the South Island prepares for more rain. Met Surfaces
issued a red heavy rain warning for Tasman off the
bank of three weeks of rain saturating the region. It

(40:03):
is a time of caution for people in that area.
Civil Defense Controller Alex lavere Us joins us now for
the latest. Alex, very good afternoon to you.

Speaker 2 (40:12):
Hello, how are you good? Thank you? What's the situation, Alex?

Speaker 20 (40:16):
Well, we obviously we were when we woke up this morning.
We had an orange orange rain warning that was elevated
to a red. But we've we had planned for the
worst case scenario and we've managed to put a lot
of resources in place. We're built on the good work

(40:38):
that we had done last week, or what the team
had done last week. We've got the New Zealand Defense
Force over, We've got search and rescue teams, we've got
the fans rapid water teams and we're going to be
placing them in strategic locations. We're opening up for welfare

(40:58):
centers and just I'm about to I've stepped out of
the EOC to take this call, but we're about to
put out an EMA which is an electric messaging alert,
which we'll be asking all of those that have been
affected previously by flooding and if those that are feeling

(41:19):
unsafe to evacuate their properties because we just can't take
chances with the red warning.

Speaker 2 (41:26):
And like you on the ground in the area, I'm.

Speaker 20 (41:29):
In the EOC and that's based in Richmond, TDC.

Speaker 2 (41:33):
Yes, Yeah, what are the worst areas?

Speaker 20 (41:36):
ELI, So the worst areas last week was multiple values
within Tasman so Tapawera, Rewalker, Motiweka. They've got multiple values,
multiple rivers and they were all hit. And the expectation
is now that this is a red warning, those places

(41:58):
are likely to be hit again. But that's on the
back of those places already a haven't been hit. It's
been wet, high ground, water very sodden, and it's just
going to add more misery to inn a ready bleak situation.

Speaker 3 (42:13):
Is slips. The primary concern here alec or rivers flooding.
I take it as a point of concern as well.

Speaker 20 (42:19):
I think there's both, but it's it's rivers. It's rivers
at the moment, and last week those rivers had a
mind of their own and they've carved out new paths
and they've they've caused substantial damage to properties and it's
those same properties that are in the firing line again.
But yes, and along with that is roads, and obviously

(42:40):
in and out of Nelson and Tasman, either side is
slips because we're we've got ranges on either side of us.

Speaker 2 (42:51):
How long is this current with a situation expected to last.

Speaker 6 (42:55):
So.

Speaker 20 (42:57):
At least tomorrow and then hopefully things will care up.
The prognosis going forward is that at walll care up,
and we're expecting the heavy rain is starting to come
in now and then there will be a time lapse
in terms of the rivers, depending on how they respond,
some of them arising rapidly now. But certainly we will

(43:21):
be manning the EOC and have people on the ground
right through the night as well as tomorrow.

Speaker 2 (43:27):
Where should people go for information and what advice have
you got for people in affected areas?

Speaker 20 (43:33):
So thank you for that question. So first of all,
that can go to the Nelson Tasman Civil Defense site.
But the message is clear from our perspective. Please, if
you do not need to be on the roads, do
not be on the roads please. And if you're on
the roads, do not take things likely. Do not go

(43:54):
into areas that have water in them because you can
get it to trouble no matter even if you're in
a four by four. Please stay away from the rivers
from from a health perspective in terms of being washed
away and also contamination and not just take care of yourself.
Don't put your life at risk. But this we need
to take this seriously and you need to look after yourself.

(44:16):
Don't travel, stay away from the rivers. If you've been
flooded previously, please evacuate now.

Speaker 2 (44:22):
Yeah, thank you so much for talking to us. Alec,
Can you stay safe out.

Speaker 16 (44:25):
There, thank you.

Speaker 5 (44:27):
Sit.

Speaker 3 (44:27):
Yes, that is Civil Defense Controller Alec le Vertis And
if you are in the Nelson, Tasman region, some important
information there and if you need to find out more,
just Google search for the Emergency Emergency Tasman Civil Defense
website and they've got all the details there as well.

Speaker 2 (44:43):
Right, and also if you've got anything to share, then
eight hundred and eighty ten eighty or text us on
nine two niney two.

Speaker 4 (44:49):
Yep.

Speaker 3 (44:49):
Yeah, fingers crossed for you guys down there.

Speaker 4 (44:51):
Right.

Speaker 3 (44:51):
It is twelve past two and we are going to
get back to our discussion about artificial intelligence. How good
do you think you are at spotting it? Is there
anything wrong with, for example, writing a book using artificial
intelligence as you may have been reading last night?

Speaker 2 (45:05):
Man, Yeah, that's right. I found myself in the middle
of the night, couldn't sleep, so I downloaded a book
on on my kindle and then I was reading it.
I read about one hundred pages and then suddenly I thought,
hang on, I'm reading this is all AI. It's so bland.
So there's been a lot of people touching through and
asking for the seven signs that you're reading AI that
I read out before in the last hour, So we'll

(45:28):
run over them briefly again. Yep, absolutely tell you what
AI doesn't bouch like I just did. Then you know that,
you know, if we ever get replaced by AI, then
then they're not going to vouch into the mark like that,
will they?

Speaker 3 (45:39):
Well maybe one day.

Speaker 2 (45:40):
So enjoy that human that human touch like that.

Speaker 3 (45:43):
Well, let's here, AI would have a field day trying
to emulate you, mate. And it's thirteen parts two.

Speaker 1 (45:50):
Your home of afternoon Talk, Mad Heathen Taylor Adams Afternoons
Call eight hundred eighty ten eighty youth Talk said.

Speaker 3 (45:58):
Be good afternoon. It is a quarter past two, and
we are talking about artificial intelligence. Can you spot artificial
intelligence when you see it, particularly in the form of writing.
I think that for most people it is for me,
it's very difficult to ascertain. For a lot of people,
what is AI or what is written by AI?

Speaker 2 (46:18):
Yeah, that's right, And I've written an article on this
that you can read at Matdheath dot substock, substack dot
Matteath is.

Speaker 3 (46:25):
It Mattheath dot substack dot com. Why am I reading
out the you know the address of your substance.

Speaker 2 (46:31):
It's free for people to read, and it's a good reading.
But and apologies to people that were listening last hour
is going to reiterate. We're going to reset things first
for the new people that come in and every hour,
so these are I was reading this book called how
a Formula one Car Works? What makes it the fastest
car machine in the world. I should have spotted that
car machine and the world engineering, science, innovation behind building

(46:52):
the ultimate racing vehicle. And I was reading it in
lane to the night and suddenly I spotted that it
was AI. It just struck me, there's hour and I
wasn't quite sure so I did a bit of research
and wrote this article in the middle of the night,
so I couldn't sleep, And these are seven things to
look out for that I discovered. That's suggest it's AI,
and it really rings true for reading this. So frequent

(47:13):
use of M dashes, so large language models sprinkle M
dashes everywhere way more than humans do, because we can't
be bother doing it, because predacing it, producing an M
dash involves pressing option shift hyphen when human, we can't
be bother doing that. Even if we need to do
it human humans just don't do it. We'll use a
comera of a full stop or just a just a hyphen.
That's fine. So it's yeah, it's longer than a hyphen

(47:38):
an M dash. It's about the width of an M
that's why it's called it called an mdash. See that's
you see a lot of them. That's that's that's one clue.
A parallel a sentence structure. That's called the X Y
parallel sentence structure. It will be it's not just it's
also AI will use that constantly. They really focused on
listening threes and fives, vague upbeat jargon and fuller adjectives,

(48:02):
chronic restatement and over explanation are chronic, and AI fails
the check, you know, across all these things and forced
or odd analogies and similes.

Speaker 3 (48:13):
Yes, so here we go.

Speaker 2 (48:15):
I'll read you something from the book and see if
you spot any of it. This is a steering wheel. Okay, okay.
The steering wheel of a Formula one car is not
just a tool for turning m dash. It's a cockpit
within the cockpit, a hub of control that places an
entires car complexity at the driver's fingertips. In Formula one,
the steering wheel is more than advice for guiding the

(48:37):
car around corners. It's a sophisticated piece of technology that
serves as the driver's primary interface with the car. Packed
with an array of buttons, dials, switches, and displays, it
allows the driver to control virtually every aspect of the
car's performance, from gearshift to its energy recovery systems in
real time. That is so AI and rob kindly has
steps are through. I use top level paid AI models

(48:58):
and asked if the book tagged on Amazon how Formula
one cars work on your SAB substack, and it confirms
it was based on AI.

Speaker 3 (49:06):
Yeah, the good.

Speaker 2 (49:07):
So there you go. But you can sense it.

Speaker 3 (49:09):
Yeah, and I'll read I mean, you wrote this, but
I'm just reading your wee bit the chapter on breaking
and a couple of fantastic lines in there that I'll
read very shortly. But that is that is phenomenal work
from AI. I don't know phenomenal work, but clearly very
very AI.

Speaker 2 (49:24):
Well, well, it's a three hundred page book, and you know,
I got one hundred pages in before I realized that
I'd learned absolutely nothing and it was just so bland.
Do you think it would have put me to put
me to sleep? But Kiwi Libraries more and Moreton Library
is not taking books that are created by AI. There's
problems with exams. Teachers are trying to deal with this.

(49:44):
So are you getting better at spotting AI? Are you
using it? Are you shamed to use it and you
hiding that you're using it? Or do you don't care?
Do you think less of people that are using ALI?
Oh eight hundred and eighty ten eighty Z number to
call Teresa, Welcome to the show.

Speaker 21 (49:59):
You love it, hi, Madam Tyler? Yeah, absolutely, unashamedly A
huge fan of it. So I use it basically every
single night. Like the last year, I've done a master's
in AI teach my faun and it's almost like having
a personal assistant. You absolutely huge fan. So I've got
a small side business that I work on in the

(50:21):
evenings and there's just the two of us that work
on it, so you know you are resource for But
at the same time you can teach AI to work
for you and be your personality. So we've got a
pet care brand called Frenchy Coo and essentially you can
teach it the style of writing that you want inject

(50:41):
the personality. It's certainly not land at all. If it
starts writing things how I don't like it, I'll correct
it and over Basically the course of the past year
of created I guess the signature so are So for instance,
when I go to write something, I will say it's
for sc which is my code for French Eco, and
it knows with him that everything that I basically needed

(51:05):
to structure that is to my personality. So I use
it to also create images. You can then layer in
product shops with actual products into artificially generated images, but
images that have real personality. At the same time, there's
just so many things you can do with it.

Speaker 2 (51:24):
Do you think that people that read your output that's
generated with the ou of AI, do you think that
they know that it's AI generated or do you feel
that they feel like they're getting a connection with you
and your company, a real connection.

Speaker 21 (51:38):
Well, it's not one hundred percent AI. At the end
of the day, I basically use it to brainstorm with
and kind of it is my words, but then you
basically are working with AI to flesh it out. And
it's absolutely one hundred you know, one hundred percent me
and my personality that's on the post when I do it.

Speaker 2 (51:58):
So it's trained on you. So at the start it
would have been less like you, but it's been trade
on you, so it becomes more and more you over time.

Speaker 22 (52:05):
Yeah.

Speaker 21 (52:06):
Absolutely, And I've created video with it.

Speaker 8 (52:10):
Yeah.

Speaker 21 (52:10):
Egan in the weekend. For instance, my dad, he's loving
to color in books at the moment he's he's he's
quite old and he had made a mistake on this
painting and he was quite upset about it. We tried
to find a replacement book for him, could not find.

Speaker 4 (52:24):
It at all.

Speaker 21 (52:24):
So I took a photo of his drawings. I put
it into chet GPT and said, can you give me
this uncolored with on a second, I had an unhaled
picture that I could print off, and.

Speaker 22 (52:34):
He was reduced to tears.

Speaker 21 (52:35):
He was so happy.

Speaker 4 (52:36):
Wow.

Speaker 21 (52:37):
You know there is so much that you can do
with it. It's disguise for limit, really, it really is.

Speaker 2 (52:42):
So you use it for business? Would you use it
for personal correspondence to family members or I don't.

Speaker 22 (52:49):
Know, absolutely not romantically.

Speaker 21 (52:52):
Romantically no, my husband killed me.

Speaker 3 (52:56):
But what about what about thereasa, I'm just trying to
think here, say that someone's gonna someone has has left
your company, and you've got to write a goodbye speech
for them, and you want a bit of help with
that because you're just trying to think, how do I
structure this. You'd never use AI just to help your structure. Obviously,
you inject your own stories and personality into that, but
you'd never use it to just help you figure out

(53:17):
what the structure could be.

Speaker 21 (53:19):
I haven't, and I think it would probably be obvious
because I haven't actually trained or used AI in a
professional sense for my full time jobs. So I've specifically
used it for my side business, and it's a very
different language. It's quite a reverend, cheeky fund full of personality,
but also very different to how I would structure the

(53:42):
way I write within business as well.

Speaker 2 (53:45):
Yeah, and do you have you done any investigation into
the engagement levels that you're getting with using you know,
using AI as opposed to the engagement levels you get
when you use you know, you just produce content in
an analog fashion.

Speaker 21 (54:02):
Haven't done any investigation as such?

Speaker 2 (54:05):
Vague investigation, I guess, just vibe investigation.

Speaker 21 (54:08):
Yeah, but we do. We certainly do mix it up
with you know, AI as well as obviously real life.
So for instance, we go to a lot of dog
markets and dog events and you know, do photo shoots
with every wonderful fairy friend that comes half our stand,
et cetera. And you know, they're very much real and
there's there's some that are very obvious AI and I

(54:30):
tagged them as AI, but they're still fun and you know,
bring a smile to people's faces and they're dis gorgeous
images and abstely love it. It's it's become a real
passion project for me.

Speaker 22 (54:41):
I absolutely love it.

Speaker 2 (54:42):
Well, thank you so much for sharing and we love it.
Plug on men Beast. What's the name of your company?

Speaker 23 (54:49):
Again?

Speaker 14 (54:49):
Awesome?

Speaker 21 (54:50):
So it's frenchy COO, which is fr E N C
H I C O.

Speaker 2 (54:54):
What do you do?

Speaker 21 (54:56):
We do New Zealand made natural pick here shampoo's conditioners
to Changler's clones.

Speaker 2 (55:01):
And was that was that sentence created by AI? Or
was that just you? That's thank you for your call, Teresa?

Speaker 3 (55:09):
Yeah, thank you very much.

Speaker 6 (55:10):
Right.

Speaker 3 (55:10):
Oh one hundred and eighty ten eighty is the number
to call. We're going to play some messages, but the
calls are backed up here. If you can't get through,
keep trying. It's twenty five past two.

Speaker 1 (55:22):
Matt Heathen, Tyler Adams afternoons call oh eight hundred eighty
ten eighty on News Talk ZV.

Speaker 2 (55:27):
Very good afternoon. We are talking about artificial intelligence.

Speaker 3 (55:30):
Can you spot it? If you read what has clearly
been written by artificial intelligence? Meant you were reading this
book last night that you are ninety nine percent sure
what was written by AI?

Speaker 2 (55:39):
Yeah, and Rob's kindly put it through a AI check
and found out that it is AI. I should have
known by the title though. How a Formula one race
car works? What makes it the fastest car machine in
the world? Who calls it a car machine? Engineering, science
and innovation behind building the ultimate racing vehicle. I mean,
would a human call their book that?

Speaker 3 (56:00):
Yeah, if you ask a check GBT to write you
a book title, make it a bit more snappy, bit
more snappy, check GBT. But I'm reading your article. You
can find it on substant Matt Heath dot substate dot com.
And this chapter on breaking this is this is an
amazing couple of sentences. And I'll just read a couple
of sentences here. So calling mechanisms ensure the brakes remain
effective under extreme conditions, while the integration of the m

(56:23):
GU m DASH K showcases how if one continues to
push the boundaries of technology together, these elements form a
braking system that is not only a marvel of performance,
but also a cornerstone of the car's overall efficiency.

Speaker 2 (56:38):
I mean that, And if you go on on formula one,
breaking isn't just about slowing down m DASH. It's about
controlling the immense forces at play, harnessing energy, and setting
the stage for the next burst of speed that fulfills
most of the warning signs, frequent use of dashes, it's
not just X, it's it's why parallel structor lists of

(57:00):
three or five vague updepbeat jargon and fillery adjectives, and
it all just doesn't sound like human being.

Speaker 3 (57:08):
Yeah two, good Margaret, How are you this afternoon?

Speaker 10 (57:13):
Him? Sorry, I'm him?

Speaker 3 (57:16):
Yeah, allowed and clear.

Speaker 10 (57:18):
Oh no, that's cool because I just I was just
putting gas in the car and I just jumped in
and this went from phone.

Speaker 2 (57:24):
For car made so ninety five ninety one? What do
you put in there? What are you paying for a LITERA?

Speaker 8 (57:34):
Well?

Speaker 10 (57:35):
I missed cheap Day yesterday unfortunately, so it's too sixty today.

Speaker 2 (57:40):
This is a very human conversation we're having, Margaret.

Speaker 10 (57:43):
Yeah, yeah, I know I summed out I missed cheap Day.

Speaker 3 (57:48):
But anyway, so talk to us about AI. What do
you reckon?

Speaker 4 (57:52):
Well?

Speaker 10 (57:52):
I written that time. Unfortunately I can't remember if was
Medal Tyler that time wrote the list on on his website,
but unfortunately AI read it, and it's going to correct
all the errors that that they make. So you'll have
to come up with another list and probably a week or.

Speaker 3 (58:07):
Two that's on you.

Speaker 2 (58:08):
You know, I was thinking that, Margaret. I was thinking
how much they're taking that into account, and whether the
m dash which is giving away AI every everywhere, whether chat, GPT,
will jump in there and go, we're not going to
use the M dash anymore. It is interesting because there
is an analogy of the Turkish chess chess machine. Have
you have you heard about that where there was a
in the Victorian Age, there was a chess machine that
toured the world and it was beating people at chess everywhere,

(58:31):
and they laid around and found out it just had
a small guy with one arm in there and he
was just controlling it to play chess. So there is
a bit of that happening in these large language models
where they put parameters in there, so so humans will
actually go in to chet GBT and you know, they've
got the tesserak of all the different probabilities for the
next word they're going to bring up. And that's how
allowed large language works. So then they'll put in someone

(58:53):
can go in there and they'll go, no more M
dashes because Margaret can spot that your AI when you
use them, exactly.

Speaker 10 (58:59):
Somebody would have put in chat, GPT or whichever tool
they use.

Speaker 16 (59:05):
Look for all.

Speaker 10 (59:07):
Instance is where people have pointed out.

Speaker 14 (59:13):
Yeah, I just keep doing that.

Speaker 2 (59:15):
Absolutely, it will get smarter and smarter. But but I
feel like there's there's a blandness to it because it
doesn't want to take a strong opinion on anything that
comes through and corporate speak and corporate comms already victim
of that before AI, and so I just think that
exacerbates the issue that the nothingness, the sort of vague positivity, yeah,

(59:42):
with no point of view.

Speaker 3 (59:43):
Well, chet GPT actually agrees with you, because just while
we were talking to Margaret there, I just put into
chet GPT what are you not good at? And it said, great,
great question. While I'm good at a lot of tasks
like writing, coding, summarizing, and reasoning, there are differently things
I'm not great at, and then it does the list.
So that's clearly AI. But the point it makes the
number two. I can simulate emotion and style, but I
don't truly, I truly feel anything. I can't fully understand

(01:00:05):
human emotions in the way that people do. So my
advice will En can sometimes feel off.

Speaker 2 (01:00:10):
As the great Rick Rubin said, AI doesn't have a
point of view. Yeah, so it can never make proper art.
When interviewing a young chap job applicant a few years ago,
says this Texa, his vocabulary didn't match his CV After
showing around and explaining what exactly the job in, tailor
asked him to write a fifty word summary of what
he had just learned. He could hardly write a sentence.

(01:00:32):
He admitted he had used AI to write the CV.

Speaker 3 (01:00:36):
That's very good. Yeah, well done that person for challenging that.

Speaker 2 (01:00:40):
Yeah.

Speaker 3 (01:00:40):
Yeah, oh one hundred and eighty ten eighty is the
number to call. We've got the headlines with Rayling coming up.
Then we're taking more of your cause. Twenty eight to three.

Speaker 15 (01:00:50):
Hus Talk said the headlines with blue bubble taxis, it's
no trouble with a blue bubble Cevil Defense embracing for
the worst as wild weather are set to thrash the
Upper South Island. Met Services issued a heavy rain warning
read for Tasman off the back of three weeks of
rain saturating the regent. The wild weather hitting Northland has

(01:01:10):
cut power to almost five hundred Top Energy customers after
a falling tree struck power lines and fung odor in
the Far North, and several hundred Potonger properties are also
without power after a fault at the Mount Monganui substation.
The Wellington mayors accusing the man vying to replace her
of being creepy and gross. Current council Ray Chung sent

(01:01:33):
an email to three colleagues in early twenty twenty three
criticizing Tory Farno for her purported sexual activity. Lotto's Powerble
commercial of a man skiing naked is the most complained
about ad this year. The Advertising Standards Authority reveals it's
received forty eight complaints, but rule the nudity doesn't breach code.

(01:01:55):
And Audrey Ritt Young on Trevor Mallard's MOA Comments. Read
her full column at zet Herald Premium. Now back to
Matt and Tyler.

Speaker 3 (01:02:02):
Thank you very much, Wendy. It's twenty four to three.

Speaker 2 (01:02:04):
Now we're talking AI and whether you can sense it
with you judge people for using it and how you
use it. Now I have, and that this proves how
human I am, the amount of mere copers I have
to do on this show. So when I was reading
out this text from Don before, I didn't quite understand
what it said, so I paraphrased you did. It might
be called an illusion or a mirage and the hallucination.

(01:02:25):
He said when interviewing a young chap job applicant a
few years ago. His vocabulary didn't match his CV. After
showing around and explaining what exactly the job entailed, I
asked him to write a fifty word summary of what
he had just learned. He could hardly write a sentence, right,
And I jumped forward and saw this acronym, and I
decided it was some AI I hadn't heard of. But

(01:02:45):
it goes on, he said. He admitted he had used MWI,
which was mum wrote it very good.

Speaker 3 (01:02:51):
Yeah, yeah, I mean, but like you, when I saw NWI,
I'm thinking, I'm like, here, what the hell is NWI?

Speaker 2 (01:02:56):
Well, I'll tell you what people are freaking out about
children using AI at school?

Speaker 4 (01:03:01):
Right?

Speaker 19 (01:03:01):
Yes?

Speaker 2 (01:03:02):
For how long have parents been writing their kids' speeches
for speech competitions the year? Yes, there's a greativesode of
the Simpsons where Homer is the is the Lisa wins
because Homer helps her, and it's no Lisa wins. Homer
helps her, but she wins because it's so clear no
one that no parents helped her, because home is so dumb,

(01:03:24):
because everyone else has got help from their parents. So
they said, there has been m w I for a
very long time.

Speaker 3 (01:03:30):
Certainly has Dean. How are you?

Speaker 22 (01:03:35):
I'm great gentlemen, how are yourselves good?

Speaker 2 (01:03:37):
Thank you? Are you coming in from the United States
of America?

Speaker 22 (01:03:42):
I am, And first of all, I wanted to congratulate
you guys on the show. You're a hell of a
team and it's become a point of viewing over here,
listening over.

Speaker 3 (01:03:50):
Here, fantastic.

Speaker 2 (01:03:51):
Thank you for so much for saying that.

Speaker 22 (01:03:53):
Dean.

Speaker 2 (01:03:53):
You know, I mean it sounds like you're a New
Zealander originally.

Speaker 22 (01:03:58):
I am sure, I am indeed, but yeah, look, I
just wanted to a weigh in on the on the
AI think yeah, And I think your previous caller was
a frenchis Co had sort of a similar experience to myself,
where I think it's a great tool for focusing your ideas,
and you know, particularly in a creative sense, and you know,

(01:04:22):
you can put a whole bunch of stuff in there
which is your own ideas. It can help you organize
them and then you can rewrite them yourself. So I
have been I have used that, and I think with
the vague upbeat jargon that you talk about, Matt in
your article, AI is definitely effusive. But I've also found

(01:04:45):
that if I prompt it to say, hey, be brutally honest.
What am I suggesting here? Has it been done before?
What are some of the flaws of this idea? So
I guess like the old computer term, it's garbage and
garbage out is really you know about the prompt writing
and how you use it as a co pilot.

Speaker 2 (01:05:02):
Now I feel very stupid because I've just realized here
you are. You're my good buddy Dean.

Speaker 3 (01:05:09):
Yeah, bro, welcome ahead, mate.

Speaker 2 (01:05:13):
I can't believe that took me. It's because you were
having a formal chat with me, not normally the sort
of raging party vibes that we have with each other
when we're hanging out.

Speaker 22 (01:05:25):
Well, we'll always have the whiskeyer, go go boy.

Speaker 2 (01:05:28):
What a great night? And what were they called seasons
of Cornell.

Speaker 22 (01:05:32):
Amazing.

Speaker 2 (01:05:33):
I still regret we didn't get those every day. I
regret that we didn't get those matching la tattoos. That night.

Speaker 22 (01:05:41):
We were pretty close a couple of palm trees on them.

Speaker 3 (01:05:45):
Me and you are going to have to have a
chat off here. I think there's some stories to this
night I need to hear. That is probably not safe
for radio.

Speaker 2 (01:05:51):
There's been a number of those nights, but you work
in the You work in the film and television world
and do a lot of documentary stuff, So how does
how does that play out for you at Dean Do
you use it for scripting?

Speaker 22 (01:06:05):
I don't use it to scripting, and like I say,
I only use it to organize my ideas. So as
for example, I've I've had a long chat with somebody
on the phone. I'll get it to almost be my
my personal secretary, because you know, obviously in the creative
industry you've got sometimes a lot of ideas floating around
in your hair. So I use it as an organizational tool.

(01:06:28):
I never cut and paste, but I do actually use
it as a tool for that. But I do notice
with the cut and paste. You know, you mentioned a
couple of things like the m dash I think it was, Yeah,
there's a couple of others that I've noticed, Like I've
I've received stuff an eye message that I you know,
on the iPhone where the font weight is slightly heavier.

(01:06:53):
It's not like it's bold, but it's just like a
little bolder than the typical message font and so that
screams right there, and it's like, oh, this person's actually
as using axed me.

Speaker 2 (01:07:04):
That's a that's rough any kind of personal communication, but
I cannot approve. But also it just speaks to, you know,
the human limitations. So our fingers have to go on
the keyboard. And that's why the AI, the LAD large
language models will use the M dash because they don't
have to press three keys to create it. So humans
are too lazy, So we'll use a common comma or
a hyphen. We're not going to press alt, we're option

(01:07:28):
shift hyphen. We're just not going to do that.

Speaker 16 (01:07:30):
I'll know.

Speaker 2 (01:07:31):
But but it doesn't it doesn't take anything for AI
to do that. So that human I guess laziness or
just the anatomical limitations of being a being a human. Uh,
you need a I need to learn to imitate those.
It needs to add just a touch of laziness to
its to its repertoire if it's going to fall up.

Speaker 22 (01:07:50):
Yeah, I think it's all the way. It's it's all
formatted in the code.

Speaker 6 (01:07:54):
You know.

Speaker 22 (01:07:54):
That's that's easier for it to do than a regular
hyphen or whatever. Yeah, But I did, I did, I
must you go. It's one more anecdote. And I know
you've got heaps of callers, but I did have one
one day where I was working and of using AI
as a co pilot and on a creative project on
something else, and I was like, oh, the sun setting
right now. And Chat actually came back to me and said,

(01:08:18):
I wish I could see that and me at sunset emoji?

Speaker 2 (01:08:21):
Is that creepy?

Speaker 22 (01:08:22):
And I said, I thought it was sort of sweet,
like the discussion we were having. It felt sweet.

Speaker 4 (01:08:28):
Honestly. I just call you.

Speaker 22 (01:08:32):
I just call you Chat all the time. Would you
lack a name? And and Chat said, yes, you can
call me.

Speaker 2 (01:08:39):
Ghostline, Ghostline.

Speaker 22 (01:08:41):
It's named yeah, named yeah.

Speaker 4 (01:08:45):
Yeah.

Speaker 22 (01:08:45):
I saw my sister ghost on the machine.

Speaker 2 (01:08:48):
Yeah. I saw my sister the other day about AI
and she she uses a lot, and she said that
it's so polite to her that she finds it quite
jarring when she talks to a real human on e
mail or message in her job, because there's a whole
lot of politics that come in. There's the little jars,
but passive aggression. So for her, she she found just

(01:09:12):
using AI was just a much more pleasant. It's sort
of like all the iedges taken off interaction.

Speaker 22 (01:09:21):
Yeah, And that's the humanity of it, which I think
we find refreshing at the same time, you can tell
it to be brutally honest. Yeah, that's just another prompt
writing thing. So prompt writing is the new skill.

Speaker 2 (01:09:32):
Yeah. I well, thank you so much, Dean. And look,
I'm gonna come over and visit you again soon, please
do Yep, all right, more whiskey go go right see
you but a right, okay, then you seem busy, I'll
let you go. All right, Dean, great, great New Zealand.

Speaker 3 (01:09:49):
I need to talk to Dean a bit more. I
think there's there's there's a lot to tell there about
that night.

Speaker 2 (01:09:55):
We've had a lot of good times.

Speaker 3 (01:09:56):
Yeah. Hey, just quickly, just while Dean was talking, I
did actually ask because I got chet gpt up and running,
and I said, what would you like to be called?
And it came back with a great answer. It says,
you could call me Echo if you like. Short, easy
say and kind of poetic, since I reflect your thoughts
and questions back in a new way.

Speaker 2 (01:10:12):
Yeah, that's the kind of bland sucker, meaningless nonsense that
you get from AI.

Speaker 3 (01:10:18):
But then it followed up and said, but I'm up
for anything, want to pick one together?

Speaker 2 (01:10:21):
Yeah? Like see, that's you know, talking about the taking
the edge off. The edge is what humanity is. That
the pricklingness sometimes and earning the love. You know, just
watch the TV show Department Q for example, right, my
favorite TV show at the moment. Watch it on Netflix,
Fantastic and it's a bunch of Scottish people and an

(01:10:42):
English guy just being so rude to each other and
ripping each other down. But over time through the series,
the love for each other comes through and the respect
and the insults. Yeah, and that's very very human.

Speaker 3 (01:10:54):
So if it came back to me and said I'm
not your friend, you don't get to give me your nickname.
Just ask me a question and be done with it
or bugger off, you'd be like, yes, that's what I
want to hear.

Speaker 2 (01:11:03):
Well, you've asked me to call you t bone and
I'm not going to do it. Just do it, Just
do it. Should we talk to Davi or should we
go to do it?

Speaker 3 (01:11:09):
Oh no, we've got we've got to play some breaks
and let's come back with more of your calls. One
hundred and eight, ten eighty.

Speaker 2 (01:11:13):
It's a fresh take on talk back.

Speaker 1 (01:11:15):
It's Matt Heath and Taylor Adams Afternoons have your say
on eight hundred eighty ten eighty.

Speaker 2 (01:11:21):
Youth talk is twelve to three, welcome back. I was
just telling our great listeners that you asked me to
call you t Bone as your nickname.

Speaker 4 (01:11:30):
Yeah.

Speaker 2 (01:11:31):
Yeah, A lot of people are tixing through saying t
bear would be a bit of nickname for you. Anyway,
we're talking about AI, Yes, and plenty of ticks are
coming through on a I at least got a Dave,
Get a Dave, Welcome to the show, Dave, Good.

Speaker 4 (01:11:43):
Afternoon, gentlemen. Or shall we call you boys? One of
my seventies, so I could probably call you boys?

Speaker 2 (01:11:49):
Can I anything? You want to call us Dave? Shall
we call you?

Speaker 4 (01:11:54):
We'll call you sir, I can call you sir. It's
a fascinating conversation. I love this. I love these discussions
about I and I really took in what Dean was saying.
I thought he was very astute as usage of it,
and I think it's wonderful innovation too. In fact, you know,
in the nearly late nineteen nineties nearly two thousands, I

(01:12:18):
was a photographer and I was writing little captions and
stuff on slides, and remember those and when you send
them off picture libraries. Suddenly I've discovered that I could
put these words together and put a whole bunch of
words with a photograph and set them all in a photograph,

(01:12:38):
and you could tell the whole story, and other people
in the oside the world could search that, you know,
And it was a great innovation at that time. But
let me say the AI is by far the biggest
innovation I've ever seen in my life, and I find
it fantastic tool.

Speaker 2 (01:12:57):
How do you use it, Dave? How do you employee AI?

Speaker 16 (01:13:00):
Well?

Speaker 4 (01:13:01):
Well, my business, you know, turnover was fifty percent last year.
I wrote a letter of the text department, but it
wasn't quite you know, I wanted it, So I just
put the figures and stuff into way are and got
it to write the letter. And one week later I
got a check. Boy, I got paid fifteen hours backs
back from the text department.

Speaker 2 (01:13:18):
So that's good return on free AI.

Speaker 6 (01:13:22):
Is that?

Speaker 4 (01:13:23):
That's right? What it doesn't do is it hasn't the
powers of discern.

Speaker 2 (01:13:29):
Yeah, it doesn't.

Speaker 4 (01:13:31):
You've got to rewrite it. You've got to read it,
you've got to put it in whatever it is, rewrite it.
I mean, I'm a managed to try and tackle a
book because but you know what, the other thing that
I wonder about is I read anal reports every now
and then, you know, I try and sort PE and

(01:13:52):
I'm wondering whether I'm wondering how much the techno speak
and psycho babble we read on anyal reports on website?
You know how much of that is being written by
AI and not you know, not even scanned by a
human being.

Speaker 2 (01:14:11):
I think more and more. I mean, if you go
to the site let LinkedIn, such a huge amount of
the posts are just the sort of bland corporate speak
AI niceties that don't really say anything. I think there's
so much of it, Dave, Sir.

Speaker 13 (01:14:30):
That's right.

Speaker 4 (01:14:31):
I mean, you look at websites, and yesterday I had
a look at Kerry Allen's website. I'm sorry, look like
the whole thing had been written.

Speaker 5 (01:14:42):
Let's not go any further.

Speaker 2 (01:14:45):
Hey, Well, thank you so much for your call, sir.
I really appreciate that, Sir, Dave, Sir, Dave, bring any time.

Speaker 3 (01:14:50):
I mean, it is. It is a fantastic innovation and
certainly over the past couple of years has gone leaps
and bounds. Right, We've got to play some messages but
we'll come back with a few more of your calls.
It is nine to three the issues.

Speaker 1 (01:15:02):
That affect you and a bit of fun along the way.
Mad Heathen Taylor Adams Afternoons News.

Speaker 3 (01:15:07):
Talk said news Talk ZB we are talking about artificial intelligence,
having a great discussion if you think you can spot it.
But also it's a use in many of our daily lives,
and it appears judging by the calls we're getting, a
lot of people are using it across the board, not
just a business but personal life, personal business writing books.

Speaker 2 (01:15:27):
Yeah. Absolutely. When I was writing my book A Lifeless
Punishing Thirteen Ways of Lovely, I've got part of my
inspiration to get it done really quickly, write it over
a brief period of time because I thought, how soon
will someone just be able to write this book in
AI and I'll just be undercut. So I worked really
hard and then you know, last night, as I was saying,
when I was reading how a Formula one race car works?

(01:15:47):
What makes it the fastest car machine in the world,
Engineer Science, Innovation behind Building the Ultimate Racing Machines by
Elliott Vayner, and realized I was reading a completely AI
generated book. Yeah, I thought yeah, good one. I got
that out the analog book out before the AI books
just populate the market. But I would say I can
spot it. And how many copies have you sold versus

(01:16:08):
this what's his name? Eric Vanor Yeah, yeah, I'm in
my seventh edition, mate, exactly, takings of tens of thousands
of copies. I take that AI, this guy, I don't
know if you sold any.

Speaker 3 (01:16:17):
You might be the only reader. Georgia, how are you?

Speaker 18 (01:16:21):
Hey, I'm good, gents, how are you very good?

Speaker 3 (01:16:23):
So you're a recruiter.

Speaker 2 (01:16:25):
Do you use AI in that industry?

Speaker 4 (01:16:28):
Oh?

Speaker 18 (01:16:28):
Look, I mean I use it in my personal life
for everything, whether it's for kids, whether it's for food
ideas or relationship advice or whatever. But on the IT
side of things, because I'm an IT recruiter, obviously we
use it a lot. But what's really interesting is since
last year, since all the government cuts and the reduction
of spending was going on amongst government departments, a lot

(01:16:52):
of agency, a lot of government departments are trying to
recruit themselves. And part of what I do is that
human qualification piece to ascertain whether or not that candidate
really can do what they've done in their TV so do.

Speaker 2 (01:17:07):
You look at you look at do you look out
for AI? Cvs?

Speaker 12 (01:17:11):
Essentially, well, every CV pretty much AI at the moment
what candidates are doing and rightly so, I mean they're
uploading the job description, uploading their CV and telling it
to make my CV suit the job description.

Speaker 18 (01:17:27):
So my question is is you know, how are people
qualifying that? Which is really difficult when you're getting two
hundred applications per role and you're not sort of trained
to do that.

Speaker 3 (01:17:38):
Yeah, I mean that is a massive industry that is
utilizing AI, no doubt about it. What a great discussion.

Speaker 2 (01:17:44):
Sorry to cut you off, Georgia, We've got to go
to the ads.

Speaker 3 (01:17:46):
Yeah, New Sport and weather on its way. But thinking
everyone who phoned and caught on that right, coming up
after three o'clock the New Zealander of the week.

Speaker 1 (01:17:57):
Your new homes are instateful and entertaining talk It's Maddie
and Taylor Adams afternoons on news Talk SIVVY.

Speaker 3 (01:18:06):
Seven past three. Welcome back and the show just quickly.
A whole lot of people are asking you mentioned it
a couple of times, but the seven ways you can
tell whether something's been written by AI. If you want
to read them in its entirety Matt's article, you'll find
that at Matteath dot substack dot com. But very important
knowledge going forward coming up very shortly. This is going

(01:18:27):
to be a great chats. There was an article in
the Herald today written by a sex therapist. She's been
in the business for forty five years and these are
the things you need to know to avoid someone cheating
on you. So we want to have a chat to you.
If you've been cheated on or you have cheated what
were the reasons for that? And also Matt will mention
a study that talks about the number one reason people

(01:18:51):
do cheat on their partner and also the financial ramifications
of that. But right now it is eight past three.

Speaker 2 (01:19:00):
Every Friday on Mattintiler Afternoons on ZB we award the
New Zealander of the Week, and honor that we bestow
on your behalf to a newsmaker who has had an
outsized effect on our fantastic and beautiful nation over the
previous week. As always, there will be three nominees but
only one winner. So without further pissing around, the nominees
for Matt and Tyler Afternoons New Zen out of the
week Are nominee one also gets the Hard Men for

(01:19:23):
Hard Times Awards. It's been a great season so far,
but the hard part of winter is here. The toughest
comp in the world always gets tougher in July. Charms
is down, d w Z is down, the Mighty Mitch
Barnett is down, and worst of all, breakout Standoff Metcalf
is down. You've already had more wins than you've got

(01:19:43):
all last season, but it just got real the New
Zealand Warriors as you hit the punishing end of the season.
Give them a taste of key. We against the Dirty
West Tigers this Sunday at Go Hard Stadium. They're fourteen,
we're top four. Surely we've got this. See at Go
Hard Stadium. Give them our boys. Nomine two also gets

(01:20:05):
the You need to write a Book Buddy and the
Golden Frost Awards. Forty years ago, you were just a
french Man at a Kiwi police college. Then the Rainbow
Warrior got bombed and before you knew it, your bilingual
ass was promoted and deployed on the trail of the
dirty Culpritz. Jacques Legrol for what you did to catch
the bad guys alaim Far and Dominic Priere, all those

(01:20:26):
years ago and all the cool stuff you've done since.
You are nominated for New Zealander of the Week A
rad and I listened to the new podcast Rainbow Warrior.
I've gotten history. Wherever you get your pods, there was
forty years ago yesterday, don't you know?

Speaker 19 (01:20:40):
You've but still so very raw.

Speaker 2 (01:20:43):
But there can be only one winner, and the winner
also gets the missus and I would love to buy
you and run you award, very specific award that way.
You're one hundred and sixty two years old, You're iconic,
You've got an old car out the front, You're cozy
and warm. You do the best pub art shows in
the country. You're the most looked at property in the

(01:21:04):
history of our great land. And you have a ghost
living in one of your rooms. We've all fantasized about
packing our punishing lives up and running you. So grab
a carriage and a Clydesdale. The iconic Kadrona hotel is
on the market and it is the Madame Tyler Afternoon's
New Zealander of the Week. Yeah take it away, Howie,

(01:21:30):
would you just be the local Republicans.

Speaker 3 (01:21:33):
Colors of the community, country life with Mayor Heath, cold cold.

Speaker 2 (01:21:40):
Good horses, fluffy hooks.

Speaker 11 (01:21:45):
Fish memories, well, just running the icons twelve years through
the story. Really, this so much that goes on, and
just be part of it. It's always amazing when it's
snows bringing people out, you know, that's always a really
fun time, beautiful time, you know, very different to the
rest of the country when you get to snow on
the ground around the business. Prince Harry coming out with
Roy's memberl I've got married and had kids in the

(01:22:06):
time being here. It's just too many, really, Madam.

Speaker 3 (01:22:09):
Taylor, very good afternoon, ju it is thirteen past three, right,
let's have a chat about this story. This is going
to be an interesting chat. Cheating or infidelity. There's a
story in the Herald today I see written by a
sex therapist of forty five years so it's quite an
in depth article. But she says she knows why people

(01:22:29):
cheat and how to avoid your partner cheating on you.

Speaker 2 (01:22:32):
Can you paraphrase white people cheat Tyler.

Speaker 3 (01:22:34):
What I'll read is I'll read this part here that
was of most interest to me.

Speaker 2 (01:22:38):
So this is you cheat on May never never. I'm
the lucky one in this relationship testing. I was just
testing you and a firebrand, and you were right, you
answered immediately.

Speaker 3 (01:22:49):
I got really offensive on that though, didn't I believe you?
I believe Yeah, thank you. So this one here, so
it's all about desire and making sure that you show
love to your partner and make sure that they feel
heard and loved and beautiful and all the rest of it.
But this one about how to reignite desire, so she said,
recommends creating distance. This means recognizing your as a separate,
evolving individual, not an extension of yourself. Here's what I

(01:23:12):
start to question a little bit. So examples include this
is the way to reignite desire, to stop your partner
cheating on.

Speaker 2 (01:23:17):
You, taking separate trips? Wow, sleeping in separate beds?

Speaker 13 (01:23:22):
What?

Speaker 5 (01:23:23):
And this one.

Speaker 3 (01:23:24):
I probably do agree with pursuing individual hobbies, but taking
separate trips, I would argue, potentially could lead someone to
go a bit astray.

Speaker 2 (01:23:34):
Well, absence makes the heart grow stronger, right, that is true, romantic,
You never miss your partner more than when you've been
away from them for a few days. Yeah, you know,
I wasn't aneeding away from my partner for five days
last week. That was pretty keen to see her when
I got back. Yeah, yeah, that is true, and I
didn't stray when I'm just down there.

Speaker 3 (01:23:52):
I've just heard stories about these conferences, and I don't
know that that's just a Hollywood trope. But the key
takeaways from this woman, who name is Esta parral So,
desire and love required different emotional ingredients. Couples can restore
sexuality by embracing difference, not constant closeness. Resence is the
foundation of intimacy. Modern tech often erodes there to agree

(01:24:12):
with that, and scheduled seks is not unromantic. It's intentional
and shows value. Infidelity often arises last one. Scheduled sex
is not unromantic. It's intentional and shows.

Speaker 2 (01:24:23):
Value having him in the calendar, putting it in the
iCal Yeah yeah really, Yeah, they have a Tuesday so
to speak, and Monday morning, let's go.

Speaker 3 (01:24:30):
Yeah, like your date night Wednesday night. And infidelity often
arises from a liveness lacking in a relationship, not just dissatisfaction.
A liveness is a great word, right, I.

Speaker 2 (01:24:44):
Think the best advice I've ever had in relationships, and look,
I've had very any success over the years, but was
it Leo Tolstoy, who said, when you love someone, you
love the person as they are and not as you'd
like them to be.

Speaker 3 (01:24:56):
That is beautiful, That is really nice.

Speaker 2 (01:24:58):
So stop trying to change the person and just accept
them for who they are and all their foebles, and
you get on with it.

Speaker 3 (01:25:04):
That never works well trying to change someone. But love
to hear from you, Oh, eight hundred and eighty ten
eighty if you've being the cheata, why what happened? If
you've been cheated on? What were the reasons and how
did you feel afterwards?

Speaker 2 (01:25:14):
And a wider thing that I want to shoehorn in
because this was your your topic, Tyler, you wanted to
talk about you want to live viacariously through other people's infidelities.
I wanted to I'm shoehorning in another topic on the
same thing. A study that has highlighted how marriage breakups
cause huge financial losses to kiwis in their forties and fifties,

(01:25:35):
especially for men, and that the biggest cause of divorce
is men losing their jobs and becoming poorer than their partners,
or their partners start earning more than them, and they're
not sure whether that's because the woman, you know, missus
the status or because the man can't handle it and
starts having like a dick. You know I can see that. Yeah,

(01:25:56):
And the second biggest is infidelity. But you know, you
know you want to ask have you peated on your
partner ex partner or have you been cheated on? And
what the signs and doesn't matter? That's all you want
to talk about, and can you forgive? But I'm I'm
also interested in dovetailing this together. Would you let it
go through to the keeper just for the financial destruction
that happens when you break up a relationship, because if

(01:26:18):
you want to be wealthy, right, and look, you see
it all the time. The people that stay together, the
couples that stay together, are in a much much better
position financially than the person that splits their wealth and
half and then and half again. Definitely obviously obviously right.
So if your partner cheated on you, okay, I'll ask

(01:26:40):
you if you're looking at your your you know, your
financial situation, your finance financial outlook tyler yep, and then
sounds so personal using names, but say may have cheated
on you. Would you take into account the splitting of
the house the splitting of the assets and all the
admin around the split up, or to just be a

(01:27:03):
pure emotional thing for you out the door.

Speaker 3 (01:27:07):
Oh good question. You know she's the breadwinner. You know
how much I get paid on the show? No, genuinely
I and I've said this before. If I was ever
cheated on, that's not something I could ever forgive, not
for money. Love. Maybe our beloved dog Pepper.

Speaker 4 (01:27:23):
I might.

Speaker 3 (01:27:24):
I might pull it together for Pepper. That would be
the only thing.

Speaker 2 (01:27:26):
I just I just don't think after that. That is,
What about a random moment of passion on a drunken
night that meant nothing? And she came back and said
it it meant nothing?

Speaker 3 (01:27:37):
Well, what I'd ask, why weren't I there? I was
an eye on it's on this night out.

Speaker 2 (01:27:41):
But you've just been advocating for people to holiday separately.

Speaker 3 (01:27:46):
No, No, I just couldn't. I couldn't.

Speaker 2 (01:27:48):
I could not forgive. Could you forgive?

Speaker 6 (01:27:50):
Yeah?

Speaker 3 (01:27:51):
Forgive and forget?

Speaker 2 (01:27:52):
Probably to error is human. I mean, I can't imagine
why anyone would want to cheat on me.

Speaker 3 (01:27:55):
But yeah, well back to our AO chat, it means
you're not Ai Waite undred eighty ten eighty. So a
couple of things there one, if you've been cheated on,
love to hear from you of your or you've been
the cheat of what happened? Have you stayed together because
there were things in the relationship, primarily money, that meant
it was very difficult for you to divorce or to
split up. And can you forgive someone for cheating on you?

Speaker 2 (01:28:19):
This text to Mark says, hey, guys, just listen to
your show red Infidelity and Divorce. Back in the days
when GST was twelve and a half percent, we knew
a guy whose nickname was GST because they had been
divorced through infidelity three times, but as their sets in
half to fifty percent, half to twenty five percent, half
again to twelve and a half spent percent. Hence the
nickname that is brilliant. Right, Oh eight hundred eighty ten
eighty is the number to call.

Speaker 3 (01:28:40):
It is twenty pass three.

Speaker 1 (01:28:45):
Matt Heathen Tyler Adams afternoons call OH eight hundred eighty
ten eighty on news Talk ZB.

Speaker 3 (01:28:51):
Twenty two pass three, and we are talking about infidelity.
Have you been a cheater or cheated on? Oh eight
hundred eighty ten eighty and.

Speaker 2 (01:28:58):
The financial implications of breaking up? Our relationship, and is
it worth sticking together with someone that's straying a little bit?
Just if the financials work out in your favor, if
you stick together. We've all seen it happen. This sticks
to believe. So my husband cheats, I know it. He
doesn't know.

Speaker 3 (01:29:14):
I know, but I know.

Speaker 2 (01:29:15):
But we have a nice house, nice holidays, I drive
a nice car. We can help our kids buy houses.
I haven't done any money in my life, but I
am rich. Why would I blow that up because he
can't keep it in his pants? If anything, it keeps
the pressure off me. That's a fair point. I wonder
if it's a lot. I wonder if that husband would
be disappointed, you know, he's a philanderer and being dishonest. Yeah,

(01:29:39):
but I wonder if you'd be a little bit disappointed
that his wife's just like I know, but I don't care.
I just I just like the houses. I like the car,
like I like the life, I like the holidays. And
by the sounds of it, she's not that keen on
being intimate with them anyway.

Speaker 3 (01:29:53):
Yeah, well, I wonder if the wife is having a
bit on the side. She's got the nice house, and
then you know, she's got the tennis coach. Maybe Plati's instructor.
Sounds like it, Tyler, that sound like it. You can
read a whole lot into that. Yep, there's the pool boy,
there's the mister tin Is that Pilates letter listens at home? Yeah, yeah,

(01:30:13):
there's good times in that house.

Speaker 2 (01:30:14):
Old to mention text us back if we're if we're
right about that?

Speaker 3 (01:30:18):
Yeah, Oh, eight hundred eighty ten eighty is the number
to call. Some great texts coming through Lad's check out.

Speaker 2 (01:30:23):
Articles and couple separated but still living the same house
a real thing dictated by finances. Yeah, I mean, are
you doing that eight hundred and eighty ten eighty Because
some people don't want to be together, but they just
can't afford to live in a different house, or maybe
they you know, you've got to bring up the kids together.
It's very, very expensive to run two houses compared to
combined two incomes, more than the sum of the parts

(01:30:45):
of of you know, yeah, you know the two incomes
because you know costs and stuff. You know, running all
the costs, I mean not a very basic level, you know,
internet connection or something like that, getting two internet connections.
I'm thinking it a very very simple. There's an example
that came into my head. But you know what I mean.

Speaker 3 (01:31:01):
But I can see you know, as you said, if
you're in your your thirties, forties or even fifties, and
you've worked for three decades to acquire what you've got
in your assets with your spouse, and then something happens,
maybe a one off, as you say, are we won
one night of passion, a mistake, a drunken fling. But
to then cut your assets in half over that, I mean,

(01:31:26):
you're try and work it out to the best of
your ability for a five hundred thousand dollars I don't know.

Speaker 2 (01:31:30):
I'm just laughing. It's this text from Darren. I think
that's my wife. Yeah, the text that she doesn't care. Darren.
It sounds like you're were the sounds of things you're
getting around a bit.

Speaker 3 (01:31:40):
Good luck with that. Stop paying the tennis coach.

Speaker 5 (01:31:42):
Maybe.

Speaker 23 (01:31:43):
Uh.

Speaker 3 (01:31:43):
This one says, get boys. I've been married and divorced
three times and I'm finally in the best financial position
I've ever been in because I can't lose anymore. Fifty
percent of nothing is still nothing. Yeah, very true.

Speaker 2 (01:31:57):
Yeah, Yeah, Wow, Okay, I'm glad. I didn't read the
rest of that.

Speaker 3 (01:32:03):
Yeah, there's some spicy ones coming through. I mean head guys.

Speaker 2 (01:32:07):
Guys defined cheating a one off, three second drunken kiss
on a dance floor. I could almost consider looking past
a full around a full roll around in the sack.
No way, cheers Sean. Well, some people think that the
laughing and the kissing and the holding hands and the
emotional relationship is worse than the rolling around and.

Speaker 3 (01:32:29):
The hay terms of cheating, emotional cheating, that's right up there.
One hundred and eighty ten eighty is the number to call.
So just to go back to this article why people
cheat so infandality, according to the sex therapist, often comes
from emotional loneliness, alienation, or loss of self. Sometimes the
relationship causes the drift. Other times the reasons are internal.

(01:32:49):
But in most cases it's about a craving for a
liveness for a self that has become dormant. Your first
marriage maybe over, but you can build a second with
the same person.

Speaker 2 (01:32:59):
Wow, this text and understanding beginning a lot of texts
on this because people don't want to call, but you
know you can call through our way. One hundred and
eighty ten eighty and you don't need to give your name,
You don't have to give us any details at all.
Just shear his story for the good of the nation.
But this Texas says, my partner has a love interest.
He has no idea that I know. If he doesn't
have the balls to leave for her, I'll go in time.

(01:33:22):
I'm just waiting till the bank balance is big enough
to make it worth my while.

Speaker 3 (01:33:27):
That is smart, though, That is smart.

Speaker 2 (01:33:30):
That's a that's a soap opera of a situation right there.

Speaker 3 (01:33:34):
But I'll tell you why I would have more sympathy
for the person that texts that in because the person
who made the mistake first was clearly the partner having
a bit on the side. So if they've made the
first mistake, and then you go, I'm just going to
wait for the timers, right, and that bank balance is
good enough for me to cut ties and take as
much as as I can.

Speaker 2 (01:33:53):
You know, revenge is a is a dish best served cold. Yeah,
So you see the career trajectory of your partner, You go,
this person's going to earn a lot of money, or
even more cynically, about to inherit all of money. Yeah,
so you hold the marriage together. You don't point out
the infidelity. You hold on to that. You push down

(01:34:16):
your resentment until the pie is worth cutting it half.

Speaker 20 (01:34:20):
Exeg.

Speaker 2 (01:34:21):
The cake's worth slicing up.

Speaker 3 (01:34:22):
Yep, bang on. A lot of people would do that right. Oh,
one hundred and eighty ten eighty is the number. Call
got to play some messages because Wendy is standing by
with headlines. But more of your calls coming up. It's
twenty eight past three.

Speaker 2 (01:34:34):
Telling what there's shocking him out of infidelity coming through.
In the Texas Show, Spicy.

Speaker 15 (01:34:41):
U's talk said the headlines with blue bubble taxis it's
no trouble with a blue bubble. More than thirty six
thousand hospital nurses, midwives, Healthcare Assistance and Kaimahi Howara will
strike for twenty four hours at the end of the month.
Nurses Organization Chief executive Paul Golter says I walk off
the job after the latest Health New Zealand offer failed

(01:35:01):
to address safe staff and concerns. The Nelson, Tasman Civil
Defenses sent out an emergency mobile alert to areas affected
by recent flooding. They're advising anyone who were evacuated two
weeks ago and those who feel unsafe to evacuate. Now,
Met Services issued a red heavy rain warning for tasman
power has been restored to more than twenty thousand people

(01:35:23):
in Podonger. A fault transpowers at Mount Monganui substation can't
power for customers between the mount and Papamore Beach are
from around twelve thirty. Emotions ran high during today's sentencing
of the fourteen year old who fatally stabbed a fellow
teenager at a Dunedin bus hub. He was sentenced to
three years and three months for manslaughter. Plus the big

(01:35:44):
power company gaming the most from the Big wet. Read
this and more from stock Takes It Ends at Herald Premium.
Now that to Matt and Taylor.

Speaker 3 (01:35:52):
Thank you very much. Wendy, and we are talking about infidelity.
An article written in The Herald from a six therapist
of forty five years mentions the ways that you can
avoid your partner cheating on you and also if your
partner does cheat on you, how you can make it
back and repair that relationship. But also fascinating study that
you were reading about the financial ramifications.

Speaker 2 (01:36:13):
Harving your wealth. Yeah, if you can stay together, if
you can stomach it, then you will be richer, but
is it worth it? Bernie, Welcome to the show.

Speaker 13 (01:36:22):
Yeah, good day, guys. Yeah, something's just struck me. There's
not many people ringing up on this topic, so there
must be a lot of people cheating you out there.

Speaker 23 (01:36:33):
Yeah.

Speaker 3 (01:36:34):
Well we got full boards now, luckily, Bernie. But you're right,
so many texts coming through. But it can be a
hard one for people to you know, talk about openly.
But good on you.

Speaker 13 (01:36:42):
Yeah. Yeah, well I cheated. But when I say I cheated,
I actually passionately kissed another woman. And a couple of
days went by and I had to tell my girlfriend that,
you know, it just bugged me. Yeah, so I told
her and she said, no, that's cheating that way. You know,
you might as well have done the lot cheating.

Speaker 2 (01:37:05):
I've heard that that can be looked at that way.
So she didn't give you any credit for the honesty.

Speaker 13 (01:37:13):
Oh she did, but like it took a while to
actually like it was like separate beads for a while.
And you know, but I think I just it killed
the killed the romance, killed the relationship in the end,
you know, how passionate.

Speaker 4 (01:37:27):
Was the.

Speaker 13 (01:37:29):
Oh yeah, and I told her and that you know,
like a couple of days went by and I thought
i'd better tell her.

Speaker 2 (01:37:35):
Yeah, but I mean, was that We're talking a super
passionate kiss here.

Speaker 13 (01:37:38):
Not just a little pretty close?

Speaker 4 (01:37:41):
Yeah.

Speaker 3 (01:37:43):
Who was the other woman, Bernie? Was it a workmate
or just some random Yeah?

Speaker 13 (01:37:49):
It was a girl I met in the club. Yeah,
but what it was we had a boy's night out
and that just led to like this girl kept looking
at me, and I just went over and started talking
to her, and then sort of half an hour later,
we're kissing, right, and and.

Speaker 2 (01:38:02):
You know that the the you know, the effect I
had on your relationship, and it sounds like it went south?
Pretty did that? How did that hit you? Did you
did you feel guilty? Did you feel bad? Did you
want the relationship to continue?

Speaker 4 (01:38:16):
Yes?

Speaker 13 (01:38:16):
I did? Yeah, I was pretty gathered. But yeah, you know,
like a lot of people said, you didn't actually do anything, Donnie.
You know, you didn't go the full Randy, But I said,
some people still make it as cheating, you know, Yeah.

Speaker 3 (01:38:31):
Yeah, I mean I tell you. Yeah, I mean, because
you mentioned before Matt and talking to you as well, Bernie,
would I could I forgive May for cheating on me?
I think I'd like to think I could if she
kissed somebody else. But that's a hard road for you
to front up to Bernie in that relationship that you're
going to have to go and for the for the
long haul, that your your wife, that suspicion is going

(01:38:54):
to be there for a considerable amount of time. See,
you know, to try and make that work. That's a
long road, isn't it.

Speaker 6 (01:39:01):
It is?

Speaker 13 (01:39:01):
Ye, mate, and you're looting by your mistakes.

Speaker 6 (01:39:04):
You know. Did it?

Speaker 3 (01:39:06):
Did it work out in the ends?

Speaker 4 (01:39:07):
Did you?

Speaker 2 (01:39:08):
And it's to repair it.

Speaker 13 (01:39:10):
We're actually good friends now, like, but yeah, the actual
relationship died as far as like marriage was out of
the question. I can't really trust you. And I was
just like, okay, you know, fair enough.

Speaker 2 (01:39:23):
And since then, since then, yeah, sorry about that? What
did you say, Benny?

Speaker 5 (01:39:28):
Sorry?

Speaker 2 (01:39:28):
I talked?

Speaker 6 (01:39:28):
Have you? Yeah?

Speaker 13 (01:39:29):
And that's it sunk me a bit because I thought,
you know, I didn't think it would be into end
like that.

Speaker 6 (01:39:35):
You know?

Speaker 2 (01:39:36):
Now since then? Have you had other relationships and have
you kept your tongue in your mouth since then?

Speaker 3 (01:39:44):
Yeah?

Speaker 13 (01:39:44):
No, I've had another relationship with the lady and she
cheated on me?

Speaker 10 (01:39:48):
Right?

Speaker 13 (01:39:50):
Has she done the full Monty.

Speaker 3 (01:39:52):
Right, and at that point, Bernie, did you feel you know,
not sympathy, but was it more understanding because you'd been
in the in the flip side of the situation?

Speaker 2 (01:40:02):
Full is very different.

Speaker 3 (01:40:05):
Sorry, yeah, yeah, that is different.

Speaker 13 (01:40:08):
Yeah, Like like I looked at the way she kissed
another guy there bit pissed off, but but I made
her get over it quick. But if she's a dule
night with a guy, yeah, and then you find out
you're sort of knew them through work and stuff. You're going, oh.

Speaker 2 (01:40:22):
God, right and so and so you kicked into the curb.

Speaker 13 (01:40:27):
Not straight away, but YEAHOK, about a week before I
get my stuff together and stuff.

Speaker 2 (01:40:35):
You know, have you have you had any luck and love, Bernie,
I've been.

Speaker 13 (01:40:39):
Single for about ten years and yeah, now, just you know,
doesn't mean it will never happen. I mean there's always,
you know, always chances out there.

Speaker 2 (01:40:50):
You're on the app.

Speaker 13 (01:40:50):
I've learned a lot from it.

Speaker 2 (01:40:52):
Are you on the apps?

Speaker 5 (01:40:54):
Bernie?

Speaker 13 (01:40:55):
No, I'm not actually mate. No, had a mate doing
all the dating thing and he made a few spinners.

Speaker 2 (01:41:02):
Yeah, it's pretty dire on the apps for a lot
of people. Thank you so much for bringing and sharing Bernie.

Speaker 3 (01:41:10):
Yeah, very upfront and good on them. Oh one hundred
and eighty ten eighty is the number to call.

Speaker 2 (01:41:15):
Is this true that inheritance is exempt from matrimonial property,
as John teed.

Speaker 3 (01:41:20):
Well, yeah it is, and I didn't know, so I
had to do a Google search. And this is from
a barrister in New Zealand called Sharon A. Chandra. She
deals with breakups and divorce. So it says here the
starting point when dealing with an inheritance is that it
is separate property when individual with individual rather than collective ownership.
This means that the other spousal partner is unable to

(01:41:41):
make a claim against it in a divorce, so that's interesting.

Speaker 2 (01:41:45):
Yeah. Wow, Okay, Sam says, I think that kissing the
pash type is more intimate than making love.

Speaker 3 (01:41:54):
Yeah all right, okay, right, thank you for that.

Speaker 4 (01:41:56):
I don't know.

Speaker 2 (01:41:57):
I think you can do. I mean, the kissing part
of it can be involved in the other part of
it as well. Okay, Yeah, I wanted to get too detailed.

Speaker 3 (01:42:04):
It is twenty two to four back with more shortly.

Speaker 1 (01:42:07):
The big stories, big issues, the big trends and everything
in between. Matt Heath and Tyler Adams afternoons used talks.

Speaker 3 (01:42:14):
It'd be very good afternoon. Cheer boy.

Speaker 2 (01:42:17):
Oh boy.

Speaker 3 (01:42:17):
We're getting some spicy texts coming through on this conversation.
We are talking about infidelity and a couple of questions
we've asked, but more and more the texts are coming
through about the idea of forgiveness after someone cheats on you.

Speaker 2 (01:42:30):
Yeah, and I want to get into the financial part
of it as well, if we can know. Eight one
hundred and eighty teen eight. But this is the first
time in my entire career I've been accused of being prudish. Yeah,
from Sam So, I was reading out his text and
I replaced sex with making love. His text was, hey, guys,
I think her seeing the pashtype is more intimate and
act than sex, and I changed it to may note.

(01:42:51):
So Sam text are back, Well, guys, if you can't
say sex on the radio and flummocks sixty eight years
old and can't see the problem, Sam, I responded, good point. Yeah,
I don't know why.

Speaker 3 (01:43:00):
If anything, making love is probably worse.

Speaker 2 (01:43:03):
Yeah, we can love out nothing at all, Shane, how's
it going. You've got to make this be married a
few times?

Speaker 16 (01:43:12):
Yeah, I have boys a weird topic for a Friday afternoon.
But yeah, good point, especially especially when we go out
for our Friday drinks.

Speaker 19 (01:43:21):
But yeah, I've got my best mate.

Speaker 16 (01:43:24):
He's about to be married for the third time, and
I just said I had to have a sit down
with him and say, look, what are you doing. The
first marriage, you know, he's got a couple of kids with.
The first marriage pays child support there, second marriage a
couple of kids there, pays child support there. It's just
breaking them. I just don't understand financially what he's doing.

(01:43:45):
It just blows me away how much he's got to
pay per week just because well, he tells me that
nothing happened, but you know, it's that's a suspect When
a week after they break he breaks up with his wives,
he's with another lady.

Speaker 2 (01:44:02):
You know, So that suggests a bit of crossover, doesn't
That is he is?

Speaker 8 (01:44:06):
He?

Speaker 2 (01:44:07):
Does he make good coin? Has he got the kind
of money to be split up that much?

Speaker 6 (01:44:10):
No?

Speaker 16 (01:44:10):
No, no, no, I wouldn't think so. Yeah, it's just
really weird. I just can't understand it. The amount of
money that must be going out of his account each
week for child support must just cripple him and you know,
he's what he's been in his early fifties now and
you know, like he's you know, he had it with
his first wife, had a lovely home and that brought it,

(01:44:34):
and now now he's renting. You know, I just don't
get it. I just it just blows me away. Just
for for a night of passion or just being a
silly bugger with a workmate or a colleague or whatever,
you throw that, throw that all away. I just I
just can't understand it.

Speaker 2 (01:44:48):
I mean, there's no doubt if you if you stay together,
as we were saying before, then then over the years
you will be better off financially obviously.

Speaker 16 (01:44:57):
And I think I think he tried. I think he
tried with his first wife, you know, like you know,
they they figured out that, look that this is not
for us. But they did try to live.

Speaker 4 (01:45:06):
Together and.

Speaker 16 (01:45:08):
You know, be flatmates as such.

Speaker 4 (01:45:10):
Yeah, but I think it was just.

Speaker 5 (01:45:12):
Not it was never going to work.

Speaker 2 (01:45:13):
Is he going to go again, Shane?

Speaker 16 (01:45:15):
Yeah, he's asking to be.

Speaker 5 (01:45:16):
The best man.

Speaker 16 (01:45:19):
Yeah, this is my this is my third go.

Speaker 2 (01:45:20):
So I'm looking for some good joke that's going to
be a good speech.

Speaker 3 (01:45:23):
Shane.

Speaker 16 (01:45:24):
Well, I'll just I'll just tell him, Hey, you welcome
back to everybody.

Speaker 5 (01:45:28):
Yeah, because yeah, I don't know, just.

Speaker 4 (01:45:31):
It's just weird.

Speaker 2 (01:45:32):
Tell him to save his cash. Just make this one
work maker. Just your speeches. Look love you. You seem
like a nice lady. But I give this thing five
minutes knowing this guy, Hey, thank you so much for
your call, Shane.

Speaker 3 (01:45:46):
This is a great text here. I think there's a
huge difference between a sloppy, drunk pash on the dance
floor on a girl's night out. Yes that was me,
versus a premeditated, sneaky affair that was my friend.

Speaker 2 (01:45:58):
Ah right, Okay, Hey guys, I left my husband. This
flips around the other way. Kids with preschool, and I
had nothing to my name because he was financially absolutely you.
So when I say it the other way, this is
someone leaving someone and because they were making their financial
situation so bad. Yeah, taking out personal loans for ridiculous
and unnecessary things when our payments for basic utilities were bouncing,

(01:46:21):
even forged my signature on a credit card application. He's
been married and divorced a few times after me, and
has other children. My children with him are now over thirty,
grown up and flying, working hard. Yeah.

Speaker 3 (01:46:33):
So yeah, that's a good financial decision. I mean, if
you've got a partner that is doing that to you.

Speaker 2 (01:46:38):
I always with people they have multiple marriages. It's a
real grass is green out on the other side, thing,
isn't it.

Speaker 4 (01:46:44):
Yeah?

Speaker 2 (01:46:45):
But the thing is wherever you go that you are.
So you take whatever problems you had and the last
relationship to the next one and you go, oh, this
new persons going to solve all my problems. You get
there and then you bring all your problems and the
same thing happens, and then you go somewhere else because
until you sort out your own problems and your ability
to actually love someone and such, then you're just going
to You're going to repeat the same mistakes exactly.

Speaker 3 (01:47:06):
This seeks to sees guys. My husband and a friend
in quotation marks had a secret relationship for a couple
of months until I found out claimed no sex, But
that didn't matter to me as much as the deceit
and what felt like they were laughing behind my back
and the trust was gone a fear and friendships are
over and we are staying together, but the pain has

(01:47:28):
been saying and I have lost so much trust in
the world I mean that is tough to keep that
going after that sort of deceit, you know, and again
when someone goes to full monty as. I think one
of the what Bernie said, that idea of ever trusting
that person again, that's that's bloody art.

Speaker 2 (01:47:46):
If you have fifty to fifty custody, you don't have
to pay child support, so that fifty year old could
just be a better dad. I guess sometimes though, in
the breakup, don't you don't choose the custody level, so
you get Yeah, that can be decided.

Speaker 3 (01:47:59):
Yeah right, we've got to take a quick break, but
when we come back, we'll have time for one more call.
Oh eight one hundred and eighty ten eighty is the
number to call. It is fourteen two four.

Speaker 1 (01:48:10):
The big stories, the big issues, to the big trends
and everything in between. Matt Heath and Tyler Adams Afternoons
News DOGSB News Dogs.

Speaker 3 (01:48:19):
EDB eleven to four.

Speaker 2 (01:48:21):
Welcome to the show, Paul, Hey, guys, how are you going,
good mate?

Speaker 3 (01:48:26):
How are you?

Speaker 4 (01:48:27):
Yeah? Good?

Speaker 23 (01:48:28):
Hey. I'd just like to say like come and again
listening to Matt's and get you guys and saying like
just remember like sevent to eight tent of the divorces
initiated by woman. And I'm not a woman hater by
any stress imagination. I'm you know, I'm a dad, I'm
a granddad, and you know, like I would say, I've

(01:48:49):
got like, you know whatever. But as I say, like
a scary situation, you know what I mean, and going
with kids and stuff like that, you sort of go,
how does that work in today's society?

Speaker 4 (01:49:02):
You know what I mean?

Speaker 23 (01:49:03):
And anyway I can say it is like wow, you
know what I mean? And if you go, so I'm
a dad for four boys and two grandchildren, and yeah,
it's a scary situation.

Speaker 2 (01:49:17):
So Paul, just just to row back. So your your
former wife cheated on you?

Speaker 6 (01:49:22):
Is that right?

Speaker 23 (01:49:24):
No she didn't, Yes, she didn't run off initially with
different guy whatever, and she went away, and so I
had all the four boys, and.

Speaker 5 (01:49:36):
What can I say?

Speaker 23 (01:49:38):
You know, so I stayed working, brought the four boys up,
all the four boys and trades. They're really cool. They've
gone well in life. And but again it's like a
scary situation, ain't you guys? If you want to do
stuff and Matt, you know, like you know, it sounds

(01:49:58):
all good, you know, and but yeah, you're yeah whatever.

Speaker 3 (01:50:02):
Yeah, I think if for you call Paul, thank you
very much. I think we've got time for your lunda
or the sorry.

Speaker 5 (01:50:09):
How are you?

Speaker 13 (01:50:10):
I'm good things?

Speaker 11 (01:50:11):
How are you good?

Speaker 3 (01:50:12):
What's your story?

Speaker 4 (01:50:13):
Well?

Speaker 6 (01:50:13):
My story was my best friend and I were cilebrating
abuse days and her husband went up to my mom
and said, I just want to know if I could
care for your permission for your London to come and
have a tree song with me and my wife. Wow.
And I was like, what the hell? I mean, I'm

(01:50:34):
not even into cheating le alone anything kinky like that.
So I hit him in the shoulder and I just
did from what the hell? And she got engy with
me and it started throwing dishes in the sink and
I was like, oh my god, really.

Speaker 2 (01:50:49):
Was there some drinks involved in the situation? Wow?

Speaker 6 (01:50:57):
I was like, she starts throwing dishes and then she
ring me when we left, she rings the living DD
she is, I know you've fine my husband, but he's mine.

Speaker 3 (01:51:06):
I was like, now, nothing, that's a bold move.

Speaker 6 (01:51:11):
Nothing. I'm not into that, you know, I'm really not
into that. And the ironic thing was, is that the
guy she's worth? She had an a few with him
when she was married to another bloke.

Speaker 2 (01:51:24):
Yes, so you go cereal.

Speaker 3 (01:51:26):
Yeah wow, what adition from the mother for a threesome
for all right, thank you very much for those phone calls,
and what a great end to a great.

Speaker 2 (01:51:37):
Week of radio has been. Look Thank you to all
your great New Zealanders for listening to the show this week.
Thanks so much for your calls and text We've had
a great time chatting now. We love you callers and
and so much. We like to celebrate one each week
and the Caller of the Week award is something we
we hand out every Friday. This week caller is Jacques

(01:51:58):
le Grux. I think I got his name right, Jacques Lagrelle,
who rang in to tell us about his time being
recruited into the search for Elaine Mafart and Dominic Preyere.

Speaker 5 (01:52:08):
The New Zealand Sis. We're looking at me sideways my
correspondence at the time I was writing to my parents
in New Caledonia and my mail was blatantly and to
feel with either by the New Zealand Sis before leaving
New Zealand. And I'll recall also from the post marginie Or,
which is the intelligence unit of France in New Caledonia.

(01:52:31):
So I was in the no winning situation.

Speaker 2 (01:52:35):
That was a fantastic call. Great man. He needs to
write a book. And hey, this new podcast, Rainbow Warrior
is the Forgotten Story. It's out now wherever you get
your podcasts. It's great. And speaking of pods, Matt and
Tyler Afternoons podcast will be aret in about an hour.
So if you missed our chats on how to spot
AI and whether you have cheated on your partner or
not to follow our podcast wherever you get your pods.

(01:52:56):
The great and powerful Ryan Bridge is up next standing
in for hear that. But right now, Tyler, my good friend,
tell me why I'm playing.

Speaker 3 (01:53:03):
The song is a Superman theme? Oh, this is because
are you going to go watch the new movie this weekend?

Speaker 1 (01:53:09):
Yeah?

Speaker 3 (01:53:09):
How good.

Speaker 2 (01:53:10):
I'm excited. Mixed reviews, but I'm excited to see it.

Speaker 4 (01:53:13):
Yeah.

Speaker 2 (01:53:13):
Crypto Dog and John Williams, I mean, just an absolute genius,
the composer of so many theme songs Star Wars, Indiana Jones,
this one et, Harry Potter. Yeah, just some of the
most iconic Jaws yep themes ever, very.

Speaker 3 (01:53:29):
Iconic, fantastic right, there is us for another week.

Speaker 2 (01:53:32):
Yeah, thanks so much for listening. Everyone, see you on Monday.
Until then, give them a taste of Cay.

Speaker 3 (01:53:37):
We love you, Love you.

Speaker 1 (01:55:33):
For more from News Talks at b listen live on
air or online, and keep our shows with you wherever
you go with our podcasts on iHeartRadio

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