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October 21, 2025 116 mins

On the Matt Heath and Tyler Adams Afternoons Full Show Podcast for the 21st of October, as bad weather strikes much of the country, Matt and Tyler ask how long can you can last without power - and what does your emergency kit look like?

Then a deep dive into AI and which jobs will survive, which will go, and will it create more than it destroys?

Get the Matt Heath and Tyler Adams Afternoons Podcast every weekday afternoon on iHeartRadio, or wherever you get your podcasts.

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

Speaker 2 (00:16):
All Right, you Great New Zealand's Welcome to Matt and
Tyler Full Show Podcast number.

Speaker 3 (00:24):
Six.

Speaker 2 (00:25):
He's for the twenty first of October twenty twenty five.
Really good, deep intense show went really deep on artificial
intelligence and the chances of terrible things happening or good
things happening. But we didn't get round to whether you

(00:47):
should let your kids win or not. Yeah, in terms
of resilience and as they're growing up. So we'll get
to that one tomorrow.

Speaker 4 (00:54):
Looking forward to that.

Speaker 2 (00:55):
But we wallow out into two hours on artificial intelligence.

Speaker 4 (00:58):
Absolutely rinse. It was a great chat though, so download,
subscribe and give us a great review.

Speaker 2 (01:03):
And you've seen bazill let you go, so give them
a taste.

Speaker 4 (01:05):
K all right, then we love you little.

Speaker 1 (01:07):
Big stories, league issues, the big trends and everything in between.
Matt Heath and Taylor Adams Afternoons News Talk sa'd.

Speaker 4 (01:16):
Be very good. Afternoons youre welcome into Tuesday. Really good
of your company as always, Get a met.

Speaker 2 (01:22):
Get a Tyler, Get a Great New Zealander with you're
listening across our beautiful nation. Got a great three hours
of talk back coming your way, So looking forward to
having some good conversations on one hundred and eighty ten
eighty and ninety two ninety two as.

Speaker 4 (01:37):
Usual, huge show for you. Just before we get to that,
I've got a question for you, met and for our listeners.
Now it's a funny day to ask this, but it
has been starting to get quite beautiful and sunny and warm,
and we're gonna hopefully get more of that as we
get closer into the summer months, and of course that
means barbecue season. I don't have a barbecue at the moment,
so I'm knee deep in. I didn't realize how many

(01:57):
options that we're out there. I'm knee deep in trying
to find a barbecue, and everybody's been telling me to
buy a webber. But I've got to tell you, I'm
liking the look of the old jumbuck.

Speaker 2 (02:07):
How sort of bigger barbecue you going for? You going
for those? One sort of a monster one about as
big as an indoor kitchen kind of situation?

Speaker 4 (02:14):
Now, nice, wouldn't that? I mean, that's that's why I'm
throwing this question out because I'd love to go full hog.

Speaker 2 (02:19):
But look, my neighbors put a full hog barbecue on
has Berm and it's been sitting there for about two weeks.

Speaker 4 (02:26):
Oh, where's address?

Speaker 2 (02:27):
Well, I wouldn't want to give out my address on
the air.

Speaker 4 (02:29):
Oh not your address.

Speaker 2 (02:31):
Yeah, but if I give out my neighor's address, it's
my address.

Speaker 4 (02:33):
Okay, yeah, good point on.

Speaker 2 (02:35):
The house beside my neighbor.

Speaker 4 (02:37):
If it's still there, just put my name on it
and I'll be around.

Speaker 2 (02:40):
I do know the fact that's been out there for
so long. I mentioned there's been a few tire kickers
that have decided to reject it.

Speaker 4 (02:45):
But the old jump back. I mean, look, everybody knows
I don't like to spend too much money and I
want the biggest barbie barbecue I can get for the
lowest price. But if anyone out there is rocket out
jump buck, how big do you need it? I want
at least a six burner. I really got to have
a six burner. We are we thing on the side
for the pan.

Speaker 2 (03:03):
Yeah right, I'm a big fan. I'm running the Ziggler
and Brown, The Ziggler and Brown zigg by Ziggler and
Brown see this is good stuff. That is a great
barbe It's not a big barbecue, but I've been very
impressed with its performance. I've got to say over that,
you know, it's kind of like a webber. Yeah, but
I've done some good stuff, mate, I'm.

Speaker 4 (03:25):
Just oh Jesus, the sixty looking six.

Speaker 2 (03:27):
I've done some good stuff with the fillets on that.

Speaker 4 (03:30):
Okay, Ziggler and Brown going right to the top of
the list, I think. But again, I know I've been
talking about jump Buck, and this is an ad for
jump Buck.

Speaker 2 (03:38):
I don't know what jump Buck is. I just want
to jump. I just jump back jump you.

Speaker 4 (03:43):
Yeah, it's it's let's call it a more budget option,
but whether it's worth.

Speaker 2 (03:49):
It budget if you're looking at it exactly.

Speaker 4 (03:52):
So, I just need some reassurance that if I go
jump Buck, it's not going to fall a part on
me within two weeks.

Speaker 2 (03:58):
So you're going for like the full Yeah, you're going
for some kind of massive, big deal. What I mean,
how many it's only you and may how many people
you need to feed with that?

Speaker 4 (04:04):
But you know it's a status symbol, wasn't it. You know,
when if nobody nobody comes around my house because I
don't have any friends.

Speaker 2 (04:09):
But if they did, it then be able to say
I'm your friend.

Speaker 4 (04:13):
Yeah, you are my friend mate. No that's not quite true,
but yeah, it's a status symbol. You want to be
proud of your barbecue.

Speaker 2 (04:18):
Well, I'm proud of my little my little Ziggi.

Speaker 4 (04:22):
As you should be. Right on to today's show after
three o'clock, we want to even chat about whether you
should ever let your children win and a competition. Now,
this was after a Jorgan Clop, very successful longtime manager
of LIVERPOOLFC. He is phenomenal what he has done for
that particular football team. But he sat down for this
podcast it's called Diary of a CEO and he talked

(04:45):
about his upbringing and he said his father was a
traveling salesman and a former amateur goalkeeper himself, and he
had big expectations for a young Yorgan Klop, and he
said he was a bit offraid that Jorgan might not
be ambitious enough and wanted his son to be a sportsman,
excelling in everything from soccer to tennis to skian. Then
he was asked about whether his father ever less him

(05:06):
winned anything, and here's what he said, who.

Speaker 2 (05:08):
Knows if it was right. Probably was right.

Speaker 5 (05:10):
I don't know if it was not nice in a
way when you tell the story, it's like, my god, Gamma,
let the poor boy win or whatever.

Speaker 2 (05:16):
It had no chance.

Speaker 5 (05:16):
It's just you stand on the touch line and you're
onto the halfway line.

Speaker 6 (05:21):
And when you when you look back over the course
of your career, are there moments where you have flashback
to lessons that he taught you, or principles or values
that he taught you that you think, gosh, I got
that from my dad, the ones kill.

Speaker 5 (05:35):
I realized that my dad had without knowing that time.
It was a skill he could speak publicly. You don't
know that you have that, but I have it so victively.

Speaker 4 (05:46):
He said that his father never let him win at
the skiing racers, at the running races, no matter what,
his father always beat him if he could, to try
and build resilience, I think was his points.

Speaker 2 (05:56):
Yeah, Base, you can't let your kids win. It's dishonest
and it doesn't it's dishonest, and it doesn't encourage growth,
and it definitely does not prepare them for reality because
no one else is going to let you win in life.
So what are you doing? What are you doing as
a parent. You're trying to build competence in your kids.
That's what you're trying to do. And look, you can't

(06:18):
absolutely smash them. And you know, chin music with a
hard cricket ball at the age of three is probably
not the best way to go because there is a balance.
You want them to be confident, but you just can't
give them a pass absolutely, and you can't tell them
if they didn't play well. And that's why everyone knows
that the player of the day thing actually needs to

(06:39):
be given to the player of the day. But if
they didn't play well, you've got to say on the
way home that they didn't play well. I mean I
used to get a good serve in the car on
the way home if I hadn't helped out. Gosh. I
remember once my football team lost and I tried to
blame the goalie, and my father has never been so angry.
He said, that goal was scored because you were useless,

(07:02):
not because the goalie. The ball should never got anywhere
near the goalie.

Speaker 4 (07:05):
It's a big ghost of reality, but that is real life.

Speaker 2 (07:08):
It's all about resilience. Yeah, I mean, that's what you're doing,
and try and encourage your kids to grow and just
giving them a free parcel the time. No, no, anyway
that it's about out after three.

Speaker 4 (07:17):
Yeah, looking forward to that after two o'clock. Is artificial
intelligence going to destroy jobs? Or maybe create some new
ones that we don't expect? New research shows the labor
market disruption is clearly coming when it comes to AI.
But the true challenge, they say, for governments and businesses
is ensuring that workers have the skills and apt adaptability
needed to use the technology and to face the future

(07:39):
with AI.

Speaker 2 (07:40):
Yeah, so this is an interesting one. We've had AI
for a while now, readily accessible since probably the end
of twenty twenty two. Everyone's been jumping on it. So
we've got a bit of an angle on it now,
I've got a head around it. We've seen it settling
a little bit into systems. So do you agree that
it won't wipe out your job? It will just transform it?
Are you retraining or is your work retraining you? Or

(08:02):
is it just eliminating people? And you're seeing more and
more empty desks around your workplace ndred and eighteen eighty.

Speaker 4 (08:09):
Looking forward to that after too. But right now, let's
have a chat about your emergency preparedness, so as we know,
more than seven thousand, five hundred homes and businesses without
power as the storm hits the Low North Island and
the top of the South Sadly, one person has died
after being hit by a falling branch on Wellington's Mount Victoria.
Several main roads are closed in the South Island this morning.

(08:29):
Extensive orange weather warnings remain in Damaging gales of up
to one hundred and thirty k's are expected during a
week of wild weather. Pretty significant.

Speaker 2 (08:38):
Yeah, and this kind of circles background to the barbecue question, really,
how long can you last without power? Do you have
a power back up? Do you have ways to cook
and prepare food? Have you got an emergency set up?
As I said before, I have absolutely no plan or
set up, and I should probably because there seems to

(08:59):
be quite a few power outages in this country, not
just emergency and weather events, but with the grid under
so much pressure, there could be power. That's how long
could you survive without without the without electricity and a
good barbecue with a couple of LPG canisters floating around.

Speaker 4 (09:19):
That'll keep you going for at least a couple of days.

Speaker 2 (09:21):
Or this Busines says, man up and get a charcoal barbecue.
If you've got a lot of charcoal on the side. Boy,
there's a lot of people that want to talk about
barbecues as well, so I think. I think, but the
two topics kind of work together because a barbecue and
if you've got an electric stove and the power goes down,
then having a good barbecue to set up on the deck.

Speaker 4 (09:42):
Yep with an LPG cylinder ready to go. Yeah, yeah,
Well charcoal or charcoal is some of those texts texting
and oh eighte hundred eighty ten eighty is the number
to call. How prepared are you? How long could you
last without power? And what have you got in your
emergency kit? Or what have you got to keep power
on your home? Really can never chat with you.

Speaker 2 (09:59):
On the topic that we're talking about. After two the
sticks Is says, unfortunately AI is way too smart to
be able to replace Matt.

Speaker 4 (10:05):
It's good.

Speaker 2 (10:05):
You can do it down, you can choke it.

Speaker 4 (10:09):
Don't fight it, mate. It is quarter past one, be
very shortly. Oh eight hundred and eighty ten eighties the
number to call.

Speaker 1 (10:15):
The big stories, the big issues, the big trends, and
everything in between. Matt Heath and Taylor Adams afternoons used
talks B news talks.

Speaker 4 (10:25):
It be eighteen pass one. Can I mention what you
just said?

Speaker 2 (10:28):
Yeah?

Speaker 4 (10:28):
So Matte just said, I you have you got to
get canvas tins and I said no, and then he said,
you want one of my eyes? Just let up. We
had to come back on here. But I'd love that
canvas tin mate.

Speaker 7 (10:37):
Yeah.

Speaker 2 (10:37):
Well, I'm just moving houses and I got myself one.
I got myself an inflatable one.

Speaker 4 (10:41):
Yes, that is a nice tint.

Speaker 2 (10:43):
So I've got an old it's not actually that old.
It's about five years old. That that, you know, the
old school pigs sort of one.

Speaker 4 (10:51):
Here here, Yeah, this is a great day.

Speaker 2 (10:54):
It's the Kakapo five, I believe.

Speaker 4 (10:56):
Oh that's that's a good tint.

Speaker 2 (10:59):
Yeah here here yeah.

Speaker 4 (11:00):
Is that a full mana.

Speaker 2 (11:02):
Yep, yeah, yep, No, it's a five five? Oh this
is good. Yeah.

Speaker 4 (11:08):
I mean talking about emergency preparedness. I could live in
that sleeps five Yeah, good times. All right, I'll take it.
We'll sort out the details later on.

Speaker 2 (11:14):
In the case of a storm, it's not a good
idea to just abandon the house and go out and
sleep in a tent on the front. That is a
good point safety.

Speaker 4 (11:20):
There's not official advice there jumping into the tent. Kates,
how are you this afternoon?

Speaker 7 (11:26):
God?

Speaker 4 (11:26):
How are you very good? So you're facing a bit
of winding Carterton at the moment, are you?

Speaker 8 (11:31):
Oh?

Speaker 9 (11:31):
Yeah, Well we ended up with a day off. Well,
I ended up with the day off. The POW's been
off since about half the six this morning. Oh and
of course so much wind as a roof in the
main street and cartertain that look very dodgy. So we
weren't allowed into our building. I worked for a business
down on the high street and so we got an

(11:53):
unexpected day off. But I've got my free standing log
burner going. I've got my little but tane gas bottle
with its little stands. I've been able to water and
have cups of tea. And yeah, I'm busy planning tea
and how to cook it on top of the fire.

Speaker 2 (12:08):
And so how long do you think you how do
you think? How long do you think you could comfortably last?
For Kate? What kind of supplies have you got?

Speaker 9 (12:16):
Well, we've got all sorts of ways of looking after
things and keeping going. But my biggest worries all the
food that starts to spoil you. Yeah, that's the biggest concern,
and also the fact we can't really function at work
without being able to plug your laptops in and get
your printers going and like that.

Speaker 2 (12:36):
But are you're missing that's online a lot, Kate.

Speaker 9 (12:39):
Oh yeah, yeah. I went from all firm over here
and we're constantly so you're missing that.

Speaker 2 (12:45):
I mean, are you missing that? I mean, I assume
your WiFi is down.

Speaker 9 (12:49):
Oh yeah, yeah, but I'm just enjoying it.

Speaker 10 (12:52):
I think it would be.

Speaker 4 (12:53):
Good for you.

Speaker 2 (12:53):
Yeah, yeah, Well, are there any hacks about that? I mean,
that's an interesting one about keeping food from because you know,
once your fridge goes off, that's I mean, when you
freezer defrost, that's a massive disaster. I don't know. I
have this house and it had this kind of box
that hung out. It had been it had been covered
over in the kitchen, but sort of I think it's

(13:13):
got a meat box that hung out so you can
do something. It's a bit of a I put it
in something and put it outside it.

Speaker 4 (13:20):
We know.

Speaker 9 (13:21):
I just I just think don't know a fridge and
freezer any more than you have to that you have
them keep it in there. So yeah, just fingers and
toes crossed. But yeah, they said that we were supposed
to have it back on by about courts to eleven,
but here when still ourself.

Speaker 2 (13:37):
Yeah, that's that's that's rough. Do you motivate you to
maybe think about getting some kind of generator system? You
know you can you can have you can have your
you know, your your gas generators or your petrol generators,
but you can also get your just those those new
or just plug in battery ones.

Speaker 9 (13:55):
I suppose there's a certain sense in that, just for
no other reason, just keep your fridge freezer going at
the end of the day, and we've got ways of
feeding ourselves and stuff. We'll just crank the barbecue up.

Speaker 4 (14:05):
But you know, you can get the and this is
an ad for them. It's just the only brand I
can think of. I think they're called brass monkeys that
are effectively electric callers that you can plug into your
car and they run off your car battery. But those things,
you know, that primarily for camping, but you just plug
them into the old nine vault and that will keep
you going for as long as your car battery loss

(14:26):
isn't that's one I've.

Speaker 9 (14:27):
Never heard of it. The only brass monkey I know
is remember there was that saying, freeze the balls off
a breath monkey. Yeah yeah, and that's not being rude.
What it is the breath monkey is what these have
on sailing ships. And it was like a contraption that
used to hold the cannon balls gold. It throws the
balls off a breath monkey.

Speaker 4 (14:46):
Interesting, good learns from that new today. Absolutely, so hang
on a minute.

Speaker 2 (14:51):
So the brass monkey contracted and as a result, the
balls popped out.

Speaker 9 (14:57):
Well, no, just whatever happened. It was this this container
on board the sailing ship that held stacks of cannon balls,
and when it got so cold, the balls would freeze. Yeah,
on these brass monkeys, and then they couldn't use them, right, all.

Speaker 4 (15:13):
Right, the things you learn on this show.

Speaker 2 (15:14):
Okay, yeah, well I tell you good good luck here
in good work.

Speaker 9 (15:18):
It's so good to have you guys back on. We've
been without there'd be all morning. So I've been having
severe withdraw symptoms.

Speaker 2 (15:25):
How are you listening?

Speaker 4 (15:26):
If you if you oh on the wireless.

Speaker 9 (15:29):
But when the power went out this morning, I looked
the radio as well for whether the tower in the
Wirerappa bellover. I don't know, but I need to be
in the radio on about half an hour going yeah,
we're back.

Speaker 2 (15:39):
Well, good to have you along. Thank you for your
col Kate.

Speaker 4 (15:42):
Yeah great call I wait one hundred and eighty ten
eighties and I'm going to call how long do you
think you could survive in a power cut? And what
have you got is a bit of a backup? What's
in your emergency kits?

Speaker 2 (15:51):
Ben? How are you welcome to the show?

Speaker 11 (15:54):
Are you get to go? Yeah, I've got got a
little generator. Especially it was on the marketplace. It was
the surf off so if in club and New Brighton
there they got given a whole lot after the earthquake
and there'd be something around for about ten years. And yeah,
they just flipped them off and I'll put it up
for three hundred bucks and that's a three killer what one?

(16:16):
And it was great the other year when we had
a lot of power cuts because there's three killer I
can run a heater, the TV, the fridge and the internet.
It made them off it and yeah, no, we're good.
Airs like to a twenty liter? Can a guess the
last twenty four hours?

Speaker 2 (16:34):
Right? And have you got do you keep a good
supply of gas on on on premises.

Speaker 11 (16:39):
I've got a barbecue, so yeah, there's always got a
full teenth. But apart from that, you know, as long
as you've got the generator, you can run pretty much.
You can't run even and get it once because they'll
overload it, but you can run, you know, you can.
You can keep yourself going as long as you've got
a guess support.

Speaker 4 (16:55):
Yeah, and you've got a bit of solar as well,
being which obviously adds to the keeping yourself going.

Speaker 11 (17:01):
Yeah, we got solid during the day and that just
feeds the grid to keep the power buill down. But
we don't have the battery right, Your batteries are too expensive,
but the solo does keep the power bull right.

Speaker 2 (17:11):
Now, have you got this with with this in mind,
with emergency in mind?

Speaker 10 (17:17):
Or is it?

Speaker 2 (17:18):
Is it just something that you've got going.

Speaker 11 (17:21):
Just a lot of the guys up work. We're checking
solar panels on the roof and getting fifty all the
power bills and stuff, and I'm like, well, I'm into that.
So it's up to mine. About five years four or
five years ago, I haven't had a power over one
hundred and twenty Bucks.

Speaker 8 (17:35):
Since nice.

Speaker 2 (17:35):
How long do you reckon you could go comfortably and
a complete power outage in your area? Ben?

Speaker 11 (17:43):
Probably probably a week, maybe a week and a half.
I don't keep it. I don't keep much food in
the cupboards, you know. I like to go to the
grocery story for a couple of days. So, yeah, a.

Speaker 4 (17:53):
Week's pretty good. I think that would be better than
ninety nine percent of New Zealanders.

Speaker 2 (17:59):
Do you have any other survival supplies? Ben?

Speaker 8 (18:02):
Have you?

Speaker 2 (18:02):
Are you running any other kind of set up, any
other kind of kit?

Speaker 11 (18:05):
Yeah, we'll be actually good caravan that we use it,
you know, used to go away and it's got a
solar panel on the roof, and it's got a caller
and share and stuff enough, So yeah, whisk the risk.
You're just going to gout to the care of the Yeah.

Speaker 2 (18:17):
You gay got to sort it. You're good for the apocalypse,
go yeah.

Speaker 4 (18:20):
Oh one hundred and eighty ten eighty is the number
to call. How long do you think you could survive
in a power cut? Or live comfortably in a power cut?
It is twenty six past one? Nine nine two is
the text number.

Speaker 8 (18:31):
Oh.

Speaker 2 (18:31):
This explains that because I was trying to work out
how the brass and monkey worked with the contraction. A
brass monkey was a triangle that stacked cannonballs. When it
got really cold, the triangle would shrink in the canniboards
would fall off. Ah nice, cheers, Andy, All right, freeze times.
How is the one with the witch work.

Speaker 1 (18:48):
The headlines and the hard questions? It's the mic asking breakfast.

Speaker 2 (18:52):
Those budgets? How lockdown are they? I mean, how open
to creep are they?

Speaker 12 (18:56):
So the Transport Agency has taken a very conservative approach
to the budget. They're what's called the P ninety five
rather than P fifty, which technically means there are a
lot more confidence around the numbers than they are with
a P fifty.

Speaker 13 (19:07):
So they've done quite a work.

Speaker 12 (19:08):
And it's they're conservatives, but there's no doubt that their
expensive projects mike for them.

Speaker 3 (19:12):
Okay about that?

Speaker 2 (19:13):
How long is this stage?

Speaker 12 (19:14):
So what's happening now as we're going through a prioritization
exercise as a government. We've now got all of the
investment cases and we're going to go through a bit
of a process of the government. You can't build everything
all at once, and we've always said that.

Speaker 2 (19:26):
Back tomorrow at six Am the Mike Husking Breakfast with
Baby's Real Estate News Talk z B.

Speaker 4 (19:31):
Very good afternoon, Cheu. It is twenty nine past one,
so many tips coming through about emergency preparedness.

Speaker 2 (19:36):
We spove seven days without power or buying food after
cyconon Gabrielle. We live in Napier. Took six days for
the meat to go off and the deep freeze survive
with cooking on the barbecue.

Speaker 4 (19:46):
Interesting.

Speaker 2 (19:46):
Good on you days, Michelle says, feeling smug. I've been
off grid for twelve years. Chuckle every time the power
goes out and people are whining on the community page.
But I do offer water and a shower, et cetera.
Good on you, so they're off the grid, never needed power.
Also on the community page, so off the grid, but
enough to power Facebook and listen to news talk. Said

(20:09):
I own a sixty liter brass Monkey FREDG freezer with
battery and solar blanket which is endless supplier's power. I
use camping battery never goes flat. Good old solo blanket,
sol a blanket.

Speaker 4 (20:19):
Never heard of. That sounds good though. Oh eight one
hundred eighty ten eighty is the number to call if
you can't get through keep trying. We've got full boards
at the moment, but love to hear what you've got
in your emergency kit and how long can you keep
the lights on if there is a power cut or
some sort of emergency.

Speaker 2 (20:33):
Hey, guys, we can live indefinitely without power as we
live in a bus mostly off grid. We don't have
a kit as it's all on hand on the bus,
so hopefully will be okay.

Speaker 4 (20:44):
It's like cozy you.

Speaker 2 (20:45):
An agrophobe, if you don't aergophobic, if you don't like
going outside. Yeah, it's like when when the power goes down,
the people that are off the grid, that's when they
come into their own you know this, Look at me.
Everyone's like me now, and I'm the champion. It was
like in COVID with the agrophobics, they thought they'd inherited
the world.

Speaker 4 (20:59):
Yeah, that's right, now's our time.

Speaker 2 (21:02):
Look at us now, I'm you know, legislated to be inside.

Speaker 4 (21:06):
Twenty nine to two and a mob at taking your
CALLZ one hundred eighty ten eighty.

Speaker 14 (21:14):
US talks at the headlines with blue Bubble taxis. It's
no trouble with a blue bubble. Flights have resumed in
and out of Wellington Airport after a four hour suspension
during severe winds tipping one hundred and forty kilometers an hour.
Amn's died after being hit by a falling branch on
a track on Wellington's Mount Victoria. This morning, Wellington wided

(21:36):
up a Hawk's Bay and the South Island are being
battered by strong winds, with power out to thousands of
homes in the Lower and central North Island. Floodings closed
Lewis Pass and a number of West Coast and Canterbury roads.
A one used correspondence permission to cover Defense Minister Judith
Collins Pentagon meeting in the US has been revoked an

(21:58):
order coming from the Secretary of War Office.

Speaker 2 (22:01):
Torpedo seven will return.

Speaker 14 (22:03):
To being an online only retailer by the end of
summer after being sold by the Warehouse Group for one
dollar in February last year. Christ Church Central's labor MP
Duncan Web is calling it quits next year. He's been
in the job since twenty seventeen. A decisive move. More
about to pe Torpedo seven to return to online only
sales you can see at z Herald Premium. Now back

(22:27):
to matt Ethan Tyler Adams.

Speaker 4 (22:28):
Thank you very much, Raylan. So we are talking about
emergency preparedness. It's obviously pretty significant in the lower part
of the North Island and top of the South as
we speak. So what have you got in your emergency
kits and how long can you live comfortably without power?

Speaker 2 (22:40):
Peter, welcome to show your thoughts on emergency preparedness if
that's a word.

Speaker 3 (22:46):
Well, I've got five barbecues. Five yeah, and just for you, Tyler,
I've got two webbers, one to charcoal, one to get yep,
and agains I've had for over.

Speaker 4 (23:00):
Twenty years, solid generational.

Speaker 3 (23:04):
It's the que barbecue and I'm sure it will be
more as an ample spar for what you need. Brilliant,
brilliant barbecues. You can't fault them. Oh, probably a lot
more than what you're going to afford.

Speaker 4 (23:18):
That's no jumper because I wouldn't.

Speaker 3 (23:21):
Have pad for over twenty years if I was going
to sell it to you.

Speaker 10 (23:25):
So there you go.

Speaker 3 (23:26):
But yeah, look, I swear by the weather. They're a
little bit more expensive, but they're bloody good. They work
very well and they cook your food beautifully. So they
use them as an oven, as a as a grill,
as whatever. You want to do, and they'll cook the
food for you.

Speaker 4 (23:43):
I guess.

Speaker 2 (23:43):
The other problem with that and in an emergency weather event,
you're having to hit outside to do the into the
elements to cook dinner.

Speaker 3 (23:50):
Oh look, I've got my set up here, beautifully set
up under a purglar, so it's all very well to proof.

Speaker 13 (23:57):
Yeah.

Speaker 11 (23:58):
Yeah.

Speaker 3 (23:58):
The only barbecue I wouldn't be able to use probably
is the smoker because that's electric. But but the other
the others are either charcoal will get So.

Speaker 2 (24:08):
How long does it take you to your charcoal barbq
ready to cook, Peter?

Speaker 3 (24:13):
Oh, probably forty five minutes.

Speaker 2 (24:14):
Oh yeah, yeah.

Speaker 3 (24:16):
Preparedness, Yeah yeah, you know you want to let those
cold get nice and gray. But but the thing with
the charcoal barbecue, five or six hours later, you can
put a pedal over on it and cook that as well.

Speaker 15 (24:32):
Exactly.

Speaker 3 (24:33):
Nothing wrong with a pair. Egency keeps you going. And
the other thing is your freezers. Make sure your freezing
is there full. So your freezer will give you six
to eight days of food. It's still, you know, not
not you've started to four out after that time around
the six or or eighth day. As long as that's
full they'll maintain that that that chill for a.

Speaker 2 (24:55):
Long long time, right, because each each better frozen food
is helping keeping the other bit of frozen food frozen.

Speaker 3 (25:01):
I guess you did, right, and and and an old
an old well, it's not an old, wide stout old trick.
If you freeze is not full, have something in there
like screwed up paper, because you condemn that face up.
And so everything that's in there will help to as
you say, keep freezing everything else that's in there. So

(25:23):
the freezer that's got up and it will will will
last a long time.

Speaker 2 (25:26):
What about what a supply? Do you ever get involved
in any sort of re Welsh type situations?

Speaker 3 (25:32):
Walsh?

Speaker 2 (25:33):
Well, you know people say that that that the water
and the system in your toilet is as long as
it hasn't gone down into the actual bowl area, that
water is good to go.

Speaker 3 (25:43):
Right Yeah, well yeah, exactly any system. Yeah, you can
use that water in your system. Yep, definitely, definitely. It's
it's still all drinkable. I mean, obviously you're gonna have
a little bit of perhaps it's not going to be
obviously free. Well, it is free. It's when it comes
down to text. So as soon as you're plucked. Its

(26:04):
free water that goes in there.

Speaker 4 (26:06):
Yeah.

Speaker 2 (26:06):
Yeah, you've got a little bowl of free water exactly, exactly.

Speaker 3 (26:11):
All those things are usable and and also keeping your
stare of fresh water. Yeah, you know, a few go
into the water to replace every now and then.

Speaker 10 (26:21):
Yep, yep, definitely.

Speaker 3 (26:22):
So a couple of how long, five big?

Speaker 2 (26:26):
How long are you good to go? If the power
goes down? Pet Peter, Pete. I'll call you Pete is fine, fine.

Speaker 8 (26:35):
Friend.

Speaker 3 (26:35):
A friend of mine used to call me peta.

Speaker 11 (26:37):
You used to worrying me a little bit.

Speaker 3 (26:38):
Sometimes speak them around of dinner together.

Speaker 4 (26:40):
A vibe about you, which is a nice thing.

Speaker 8 (26:42):
Oh, thank you very much, thank you very much.

Speaker 16 (26:44):
Appreciate that.

Speaker 3 (26:46):
I would say we would, we would, we would survive
a good week or more.

Speaker 10 (26:50):
I mean.

Speaker 3 (26:52):
We've got I've also got which I which I care
in the back of my youth as one of those
little single burners that takes the aerosol gas cans. Now,
those for the aerosol gas cans, they will last over
eight hours continuous burning on on five So I've got
at least eight or nine of those in my shed

(27:12):
or the trimmer shed in my youth, and so there's
plenty of place that's just a trainy of access to that,
and the ability just to bail up a jukes for
hot water, just the one little single burner and they
get pretty hot. So yeah, I'd say we could provide
and we had water for flying. After a period of time,

(27:35):
we could survive a couple of weeks. I'll say at
least a good week and a half to two weeks.

Speaker 2 (27:39):
You barbecue at Peter's house. Next time the power goes out.

Speaker 4 (27:43):
Got five of them? Well, well get it out.

Speaker 2 (27:45):
Hey, this is a really good tap from Linda. We
are rural and always ready. Best top, have lots of
outdoor solar lights. Then bring them in at night. Get
your solar lights that you know that you're what do
you call it staking into the garden. Have heaps of them.
They get all charged up in the day and then

(28:05):
you bring them at night.

Speaker 4 (28:06):
No more candles. What a great tip.

Speaker 2 (28:08):
That's brilliant.

Speaker 4 (28:09):
Oh eight, one hundred eighty ten eighty is the number
to call love to hear what you've got in your
emergency kat. How long do you think you could survive
comfortably without power? If you want to seen to tax
ninety two niney two is that number back of the
twenty to two.

Speaker 13 (28:21):
It's a fresh take on took back. It's Matt Heathen
Taylor Adams.

Speaker 1 (28:25):
Afternoons have your say on eight hundred eighty ten eighty
youth talks'd b.

Speaker 4 (28:30):
For a good afternoons You we're talking about emergency preparedness.
How long do you think you could live comfortably without power? Oh,
one hundred eighty ten eighty is the number to call.

Speaker 2 (28:38):
Wrap a cold pie and tinfoil, Whack it on top
of your UT's engine, a couple of laps around the block,
hot and good to go. Make sure it's secure, though
you won't like mince on your exhaust. Manifolds his bill
tried that before. I had a mate that used to
He used to cook a chicken and roasted chicken on
the way up from invery cargo see man in Donedan.

Speaker 4 (28:56):
Did he have a we pan like a roasting pan?
Did he just put the chricken?

Speaker 2 (28:59):
He just put on the manifold, Wrap it in tinfoil
right as car ran pretty hot? Actually to be fair
yep is V eight. But yeah, so one time anyway,
this is a different story, but I think one time
he's trying to cook chicken on the way out, Old
Doug and then he accidentally ran through a flock of
sheep on the road and it was absolute carnish.

Speaker 4 (29:17):
But it's unfortunate.

Speaker 2 (29:18):
It's a different story for a different day.

Speaker 4 (29:19):
That check was ready to go.

Speaker 2 (29:21):
When you make up your emergency kit, guys, don't forget
food for your poochers.

Speaker 4 (29:25):
Yeah, that's a biggie.

Speaker 2 (29:26):
And if worse comes to worse, you can get on
the jelly meat yourself.

Speaker 4 (29:30):
Good point, Leete.

Speaker 8 (29:36):
This afternoon, guys, great, great, great radio.

Speaker 2 (29:40):
Well thanks for listening and thanks for calling.

Speaker 8 (29:42):
Yeah, no worries. Hey, I'm from a Hawks bay and.

Speaker 15 (29:45):
We know all about power cuts.

Speaker 8 (29:47):
Yeah, a powerful long period of times. But I just
wanted to ring up just because when you guys were
talking about this, it reminded me that there's actually a
backup power point that you can put on an invert
the Thronius inverter, and what that does is during the daytime,
it can give you up to three killer wats of

(30:08):
power that can run like your treezes or just anything
you just need to run. Basically, an extension lead out
from your inverder and you can plug yourself in. But
it's the key is that it's only during the daytime.
You can't actually use it during the night.

Speaker 4 (30:24):
So when do you run the inverter is running off
your solar kit, is that right?

Speaker 17 (30:30):
Yeah?

Speaker 8 (30:30):
Yeah, So your solar panels are on your roof, right,
that comes down into you inverter. And when you've got
no power from your eighty side, so from your switchboard
into your invert base is an internal bypass in the
inverter and it sends the power down to a little
power point next to your inverter and.

Speaker 4 (30:49):
That will give you power smart to that point only right,
So like you don't have to have a battery, but
you can't stick this thing on.

Speaker 8 (30:57):
So it was just a yeah, a good way of
a deeper way of having power without having batteries to
run like you know, your whole house.

Speaker 2 (31:06):
So yeah, good on yourself for calling Lee, Thanks for listening.
There's a top because a lot of people are coming
through with the sole of thing. Hey, guys, we should
all have power backup of some sort in case the
power goes out. However, at the cost we are currently
paying for power, my power supply company should be bringing
a generator and leaving it for me to use at
any time. That they cannot supply the power pricing as
a body jokes is simon, But am I where am I?

(31:30):
This is the one? Hi, guys, I don't think everyone
knows that if you have solo without batteries and backfeed
the grid, they will not have power in a power
cut because the back feed could eletrocute a linesman working
on the line. Cheers Bob.

Speaker 4 (31:43):
Right, So well, they must cut off the feed in
a power cut, so it's not feeding back to the line.

Speaker 2 (31:48):
I suppose, muss is I've got a paddock with cheap cows,
chickens and pegs, so I'm never going to starve with
a mess of vegetable garden. Well, eventually you're gonna eat
all the chaos and the chickens and the pegs. Yeah, could,
depending depending how much you're eating. But so far, Mars
is going to survive a lot longer than the rest
of us, that's for sure.

Speaker 4 (32:04):
Very true. Well, let's go to Joe Enne get a Joeanne.

Speaker 17 (32:08):
Hi, Oh not too bad, A little bit windy.

Speaker 4 (32:12):
Here, Yeah you're in.

Speaker 17 (32:15):
Yeah, yeah, still got power. Two. I've just got two
tips that people don't normally, well a lot of people
don't really and after crop we were in christ Church
with the earthquake. If you don't have some cash in
your kit, of course, well probably you can't. There's no
there's no all that stuff. So yeah, that even if

(32:39):
it's only a hundred bucks or something to give you
a chance that less you can go to a dairy
and get something. And the and the other one is
and it's a power thing too. If you've got a
freezer that's half full, say of your meat or whatever.
If you keep old milk bottles with water in or
fizzy bottles, whatever it all, it's actually cheaper to run

(33:02):
your freezers and you can use it if there's if
you're in a disaster, because you've got your waters to
the polight as well.

Speaker 4 (33:09):
Great tip, Oh right, genius.

Speaker 2 (33:12):
So if you've got space, you just freeze a bunch
of a bunch of water in there.

Speaker 17 (33:16):
Yeah, just put it at the bottom. The more the
fullier freezer is, the less it's having to work. So
therefore you're killing two birds with one stone.

Speaker 2 (33:25):
Brilliant.

Speaker 4 (33:26):
That is a great tip. Yeah, thank you very much, Joanne.
It doesn't sound doesn't sound too bad in the background now,
but hopefully it's eased up a bit.

Speaker 17 (33:35):
So that's the second there's no rain, but it's how
publishments going everywhere?

Speaker 2 (33:42):
Will just last question, when you do you get you
that one hundred bucks you're putting away? What you'd have
it in fives, wouldn't you? There would be the best
way to go.

Speaker 17 (33:51):
Well, definitely not fifties. If you have to send the
kids down to pick anything up, yeah, yeah, yeah, whatever,
you know, just as long as you've got something tucked
away if you can, because I mean even if you
had to leave town to drive somewhere, you're going to
have to put pet in yeah, and you can't get
it out of the machine.

Speaker 4 (34:10):
So good on you, Thank you for you great good thinking.

Speaker 2 (34:14):
I keep twenty thousand dollars and two dollar coins at
all times for emergencies.

Speaker 4 (34:18):
Good on you. You bury that in the bag, garden
or something. Oh, one hundred eighty ten eighty is the
number to call love to hear what you've got in
your emergency kettle. How prepared would you be if you
had an emergency and the power went out?

Speaker 2 (34:29):
This is a good point from Blair. Hey, guys, remember
most cars have radio, so if you have a power cut,
but do not have a battery power transistor. There's always
the car radio for updates.

Speaker 4 (34:37):
Yeah, good point. Eleven to three two.

Speaker 1 (34:42):
Matt Heath Taylor Adams taking your calls on eight hundred
and eighty ten eighty.

Speaker 13 (34:46):
It's Mad Heathen Taylor Adams Afternoons.

Speaker 4 (34:49):
News Dogs be afternoon. It is eight to two, and
we are talking about whether you could survive or how
long could you survive comfortably without power if emergency hit
your property.

Speaker 2 (35:00):
The six says we survived twenty days without power, water,
and sewage as a result of the christ Church earthquakes. Yeah,
of course a few people went through that.

Speaker 4 (35:08):
Yeah, that was a long time that one, Bob.

Speaker 18 (35:11):
Yes, the first thing that brought me to your program
was brass brass monkeys about.

Speaker 3 (35:16):
An hour ago.

Speaker 4 (35:19):
From cap And just as a point.

Speaker 18 (35:22):
On that, brass monkeys. In fact, today is actually Trafalgerday,
you know, Lord Nelson.

Speaker 7 (35:27):
And all that.

Speaker 18 (35:28):
Yeah, brass monkeys are. In fact, we're critical to that
ship that held the that wasn't cold. So it's a
practable Tomnure met today on this particular day.

Speaker 2 (35:40):
Yeah, what are you thanks for that? Bob?

Speaker 18 (35:42):
Anyway, support emergency support. I've been well, my wife has
gone now, but we've been totally independent of whatever needs.
For the last thirty of thirty five years. We've got
a motor home and we it's parked in our drive
two meters from our back door. So anytime there's an emergency,

(36:04):
we just move in.

Speaker 4 (36:05):
Everything is there smart? Is it all all? Can you
move it? Is it all guessed up? Ready to fly
if you need to? Or is it stationary?

Speaker 18 (36:12):
I'm off down country day after tomorrow, but it parks
up the drive. We build a house to fit the
motor home, so we use it as emergency well not accommodation.
I go and live at when visitors come to start,
give them my bed and making mugg out and motihome nice.

Speaker 2 (36:29):
Yeah, just go and sleep in their motor home just
because it's cozy. I love it.

Speaker 4 (36:35):
Some of them are super comfy, lovely, get your own space.

Speaker 18 (36:38):
It's beautiful, it is it's I mean, there are thousands
now the own mode homes in this country. So they're
all in the same position. Because all these modi homes
now are totally self sufficient. They most of them, I
mean some of them even work from home. And them
you know, they were all the solar power, run the
batteries and with the batteries, et cetera, and whatever happens

(36:58):
in the rest of the world that totally self sufficient.

Speaker 2 (37:01):
How much food you got How much food have you
got stored up, Bob for emergencies.

Speaker 18 (37:06):
Well, there's always bag beans, yep. And there's oil, and
there's water. Basically, I mean there's not fresh bridge, but
basically there's crew. There's baked beans and sardis and that
sort of stuff.

Speaker 2 (37:20):
Get a long way on mag beans and you're running
a manual can opener, because that can be a trick
for for young survivalist players just trying to have.

Speaker 4 (37:27):
Never owned an automatic old school love a Bob, Thank
you very much.

Speaker 2 (37:32):
Think you there you go?

Speaker 16 (37:33):
Yeah?

Speaker 2 (37:33):
I mean those of us with motor homes good to go, Yeah, exactly.

Speaker 6 (37:37):
Yeah.

Speaker 2 (37:38):
And then if you've watched a disaster movie, people trying
to relieve down the motorhomes do do a lot better.

Speaker 4 (37:42):
Yeah, yeah, they go far at a motor home. I
think we've got time saying he Nadi.

Speaker 7 (37:46):
Henadi killed a cordwall.

Speaker 4 (37:49):
Hell, are you guys very well? What do you reckon?

Speaker 11 (37:51):
Hey?

Speaker 7 (37:52):
Oh, I'm just going to make it real quick. You know,
for thousands of years, she meant humans have survived on
the earth, and it took two generations to forget all that.
We're screwed. We're pretty much screwed. Apocalyptic evince everyone with
motor homes and baked beans inking a laugh forever. Yeah,
you need to return to the fen word and learn
how to grow. So you know, that's a bit of

(38:13):
wise words for everyone out there, and you guys have
a good day.

Speaker 2 (38:16):
Thank you so much. It's such a such a good
point because you know, for all of our history we've
lived outside, and now most of us are just freaking
out that we can't live in a house with all
the food, walls, carpet, things to sit on, without lights
and cooked food, and and you know people freak out

(38:36):
about the internet. I mean, as that should be on
us too.

Speaker 4 (38:40):
You know, we're getting weaker, You're getting weaker reliant on
these everyone takes the time.

Speaker 2 (38:45):
To learn to be able to just live in the
bush for a week and be self sufficient.

Speaker 4 (38:50):
Definitely. Yeah, I wonder if you teaches that we might
get him back. He sounds like a man who knows
that sort of stuff. I mean, that's my fear. If
you get me out in a bush trying to grow things,
then I'm not making it more than two days.

Speaker 2 (38:59):
I was hanging out with this great u zeallytic called
Sam the Trapman the other day, and you know he
makes me feel what's the word useless because he can
just eager literally live off the land.

Speaker 4 (39:12):
Yeah, an impressive through that man. Absolutely right, great discussion.
Thank you very much to everyone who text and called
on that one. And if you're in the Lower North
Island and the top of the South hope you were
staying safe and hopefully that weather starts to ease soon.
Coming up after two o'clock, let's have a chat about
artificial intelligence. Is it going to destroy jobs or create them?

Speaker 2 (39:32):
Yeah, well there's no artificial intelligence in the bush just yet,
is there?

Speaker 4 (39:35):
Thank God for that that has coming up. Oh wait,
hundred eighty ten eighty is the number called nine two
nine two is the text number.

Speaker 2 (39:41):
We might have to go bush to get away from
the robots at some point.

Speaker 4 (39:44):
Absolutely, News, it's coming.

Speaker 13 (39:45):
Up talking with you all afternoon.

Speaker 1 (39:51):
It's Matt Heathen Taylor Adams Afternoons News Talks.

Speaker 4 (39:55):
It'd be afternoon to you. Welcome back into the show.
It is six past two, so let's get into this
one and it's going to be interesting. Artificial intelligence? Is
it going to destroy jobs as some recent researchers warned,
or create them? So it's a paper by Google's chief economist.
His name is Fabian Quarto Mala, and also Diane Coyle,

(40:17):
who is a renowned British economist. They show that labor
market disruption is certainly coming when it comes to AI,
but they say the true challenges for governments and businesses
is ensuring that workers have the skills and adaptability needed
to use the technology. Only then, they say, will the
AI drive productivity and raise living standards for us all.

Speaker 2 (40:39):
Well, their main point here is that they think predictions
that I will wipe out jobs have been exaggerated, and
they write that most past technology technological revolutions led to
net employment growth. And look, as I was saying before,
general access to large language models like chat GPT has

(41:01):
been around for since probably the end of twenty twenty
two is when people first started tinkering with it. So
it's been around a lot, and it's the up to
take has been exponential, So you know, we've got used
to it. We've had it around for it's been really available.
So what are you seeing? Read A bit? I can't
say that we need to replace me with AI readily available.

(41:23):
So what are you seeing? Do you agree that it
won't wipe out your jobs? Are you retraining with it?
Is it transforming rather than destroying your job? And as
your work, are retraining for it? So according to these
guys history, you know, they talk about agriculture, once employed
sixty percent of the US workers, now under five percent.

(41:43):
So they're just they're talking about how jobs jobs evolve
over time. Computerization since the nineteen seventies cost three point
five million jobs, according to these two, but created over
nineteen million jobs.

Speaker 4 (41:55):
It is interesting. I mean they mentioned there that at
the nineteen to fifty UIs census listed two hundred and
seventy one occupations. Today only one remains elevator operator. And
I imagine an elevator operator. I don't know how much
longevity that's got left in it, certainly for another few
years at least, but whether AI comes in and starts
to operate that so.

Speaker 2 (42:15):
I can think of another operator that doesn't exist anymore.
Was that the phone operator?

Speaker 15 (42:18):
Oh?

Speaker 4 (42:19):
Yes, the person that.

Speaker 2 (42:19):
Used to plug things in? Yeah, so they went anyway,
what about typing polls? They've completely gone yep. According to
these guys, technology typically effects tasks, not entire jobs, so
they talk about jobs being essentially a bundle of tasks
and eliminating an entire job requires the automation of a
significant proportion of its underlying duties, and they think that

(42:41):
this regularly happens. So, for example, they talk about radiologists.
In twenty sixteen, it was predicted that AI would replace
radiologists within five years. You demand for radiologists has surged
because their job is not just to study images, but
also to analyze medical records, advise doctors, talk to patients
and interpret findings instead of going extinct. Radiologists are thriving

(43:03):
by incorporating AI into their workflow, which is very positive.
So is that what's happing. You're thriving because you're incorporating
AI on your workflow or are you being erased?

Speaker 4 (43:13):
Yeah, love to hear from you, oh eight hundred eighty
ten eighty Are you doing anything different with the emergence
of AI or are you getting training within your job
as we speak, to better utilize it. Love to hear
from you on Oh eight hundred eighty ten eighty nine
two nine two is the text number.

Speaker 2 (43:28):
Has the threat of AI been greatly exaggerated, as Fabian
Couteau Malay and Diane Coyle claim, this will.

Speaker 4 (43:36):
Be a good one. It is ten pass two. Come
on through. Oh eight hundred eighty ten eighty is that number?

Speaker 19 (43:41):
Wow?

Speaker 1 (43:42):
Your home of afternoon talk Mad Heathen Taylor Adams afternoons
call oh eight hundred eighty ten eighty us talk.

Speaker 12 (43:50):
Z B.

Speaker 4 (43:52):
Very good afternoon, thirteen past two. We're talking about artificial intelligence?
Will it destroy jobs or create jobs? A research paper
by the heads of old Google's chief economists. I should
say a Fabian Cola Mala and also a very renowned
British economist Diane Coyle say, well, that are quite positive
about the future of AI and the jobs that could create.

(44:14):
So do you think your job is safe?

Speaker 6 (44:16):
Oh?

Speaker 4 (44:16):
Wait, one hundred and eighty ten eighty is an number
to call.

Speaker 2 (44:18):
I mean they make a bold claim that AI will
not take your job, it will make your job more meaningful.
That's a bit claim.

Speaker 4 (44:24):
I mean it sounds positive. I hope that's the case,
but whether that is going to be the case, love
to hear your thoughts. Nine two nine two is the
text number you are? How are you.

Speaker 10 (44:35):
Very well?

Speaker 4 (44:36):
And yourselves very good? What's your thoughts about this positivity
when it comes to AI and jobs.

Speaker 20 (44:41):
I actually I do believe it. I've got an automation
and AI implementation consulting them. And what I'd say is
that probably about a year and a half go, maybe
year ago, there's a lot of focus just on AI
for AI's sake. Yeah, businesses just get on that, get

(45:02):
on that train. But now people have started sort of
starting a look at a bit differently. They're starting to say, Okay,
what's the actual strategic goal that I'm trying to hit
with AI rather than just don't forget about a what's
the strategic goal? And then how how can AI fit
into that? And then's and now they're starting to say, okay,

(45:22):
now how do we train our people to be working
with that process? And then now what's happening which is real,
which is new probably this year, is they're saying, now,
how do I redeploy that person so that they can
add more value in the above the line. So they're
they're looking at it, they're looking at it from a
productivity point of view to date, and now they're starting

(45:43):
to say, okay, now I released that twenty percent of
the person's sort of job that could be automated, how
do we then get amplify them to make more revenue
for example?

Speaker 2 (45:54):
So what kind of so what kind of just to describe,
what's a common you know, strategic value that people see
in AI. What are the common things they want AI
to do?

Speaker 20 (46:05):
Okay, So the biggun of that it just does time.
But one of the other major things that is around
around documentation. Okay, So if you've got to regulated an industry,
let's talk about mortgage brokers. They talk about, you know, insurance,
thet's talk about pension funds, things like that. They're very
heavy on documentation. And what ends up happening is is

(46:27):
relatively highly paid brokers or pench and fund managers or
they end up spending quite a lot of their time
and making sure that all that documentation is correct. Yes, right,
and it's there right now.

Speaker 8 (46:42):
Now.

Speaker 20 (46:42):
I'm not saying AI is the only thing involving in that,
because it's really a mixture of automation and AI, right,
those two things working together and people. Right, But you
can knock out about you know, I'm being optimistic fifty percent,
but probably more likely twenty to twenty five thirty percent

(47:02):
of those those things you can knock out by using
AI and workflow. Right now, now, once you've done that,
you're either saying, okay, now that you've saved them twenty
five of their time, Well, how are we going to
now utilize those highly skilled people again, Well, we're going
to utilize them by going out and finding more customers,
by servicing the existing customers that you've you've got more effectively.

Speaker 11 (47:25):
Right.

Speaker 20 (47:26):
So, So, but that that piece there where I think
people have been really worried about it taking jobs. But
I think what's happened this year as people are now
sort of going Okay, now I'm starting to see how
I can free more time up for my people. What
what strategic goal am I going to apply them to?

Speaker 11 (47:47):
Right?

Speaker 20 (47:48):
So that's that's almost going okay, Well, we're not going
to knock out people. We're going to keep the people
and we're just going to make them do more of
the things that they're good at, yeah, right, rather or
other high value things.

Speaker 2 (47:59):
But what about what does that mean for because say,
just think of a legal firm. There is there's a
pathway from the bottom up where you do a lot
of filing. You know, what would you call a legal assistant.
I can't remember the league work.

Speaker 4 (48:12):
Yeah.

Speaker 2 (48:12):
Yeah, And so so is that going to be a
situation where where there isn't straight out of law school
a entry level job that you can get to move
up because someone further up the chain is using AI
to do that that league work, that monkey work, one
of a better words.

Speaker 20 (48:28):
It's possible. But what I'd say is the entire legal
industry is right for disrupt they know it, right, that's
a that's a that's a little bit of it. And
it's also the same and consulting, and you know there
are there are levels of work in in there that
you won't be able to that won't won't need people for.
But what you will need is you'll need almost like

(48:50):
a shepherd for the AIS. So you're going to have
to have people who know know the not thinking to
get subject matter expertise, but also know how to manage
agents for example, Yeah, right, a number of a number
of agents that that's that probably the most.

Speaker 11 (49:10):
Yes al agent.

Speaker 2 (49:11):
So just just for people that are listening, just can
you explain what an AI agent is?

Speaker 18 (49:16):
Well?

Speaker 20 (49:16):
Yeah, okay, so so it's a it's a million dollar question.
Lots of people argue about what exactly they are.

Speaker 11 (49:25):
So, so.

Speaker 20 (49:27):
You know how you'll be in chat GPT, and you
would you would put a prompt and into chat GPT
to say, you know, ask uh, let's let's say you
want to research a company, right, you're you're, you're. The
way that you work in chat GPT is you'd write
out sort of prompt for giving it a context and
giving it instructions about what you want to want to

(49:50):
get out of that out of that exercise. Now, what
an agent does is basically codifies. So it's basically as
it's like a repetitive prompt. You've you've been a lot
of instructions you've given it. You've told it to get
a look at specific professional texts for example, you've given

(50:12):
it a role. You've said you are an expert pitching
fund manager. Yeah, right right, And you're giving it a
set of instructions because you want a repeatable outcome or
an outcome that sits within a band of nondeterministic bands.

Speaker 21 (50:28):
Right.

Speaker 20 (50:28):
And so what it means then is that you don't
have to write out your prompt every time. You can
go to your agent and it can perform that those duties. Now,
I'll just give you one example that it comes with
different examples of what it can do, but it's basically
codifying a repeatable process.

Speaker 2 (50:46):
Sending it off, and it's on its mission for you.

Speaker 4 (50:48):
Yeah, So wouldn't that be a way for newcomers into
an industry like the legal profession, because we've talked about that.
That's the way they can future proof themselves, right, is
knowing more about how to shepherd AI than the partners
of a particular firm. So they're bringing that school to
the table and still have that ability maybe to move
through Absolutely.

Speaker 20 (51:08):
That's you know, I like, there's so you've just got
to You've got to. AI is not perfect and it's
not magic. It has got lots of flaws at the moment,
it really really has, and people have to be you
have to have what we call human under loop. The
human has to be in the loop. Right, there's no
I would not let an AI make a decision for me.
I would get it to propose something and then I've

(51:30):
got and I do adject myself or other agents that
I go and apply to that to stress test that
and throw out red flags or whatever.

Speaker 4 (51:39):
Right, you probably just answered the question I had one,
which was why not let an AI be an agent
of another AI, but clearly there's a long way to
go before that would be a safe thing to do.

Speaker 20 (51:50):
Yeah, but I mean, I think I think the other
thing is that that, like I say, AI is not magic.
It is a machine still, right, and you've got and
you've really got to make sure that you've got people
in there looking out the outputs and making the final decisions.
That's that's absolutely absolutely critical.

Speaker 2 (52:08):
It's not magic now, but it exponentially has grown as
a large language lange and it felt like the increases
were really rapid, and then it feels like it's tailed
off a little bit, but there is, there's lots of
different applications coming through, but it is advancing an incredible
rate and you know, the sam Ackmans of this world
have got big plans for it. So yeah, is it

(52:31):
just an ever ever shifting goalpost and what you set
up now might just change with chat GBT seven.

Speaker 20 (52:40):
Yeah, but I think I think that what's what's also
happening along along this and Sam Olton also the same
It says that soften which is which is you know
there are some fundamental sort of principles to it, Like
you know, you've got to you've got to train for
people to use it properly. Like, what's happening at the
moment is shot a lot of shadow. Are you looking

(53:01):
at all about that? Where where people are people are
bringing the chat their GPT into work and using that
and a really unstructured way. Now, what we used to
what we used to do in all businesses and all
my experience was we would be really really pedantic about
what process people were using to get to a particular outcome,
and you would have that as part of your operating model.

(53:22):
Right now, what's happening is they're basically going that's basically
been thrown out the window to some degree and said, okay,
you just used GBT to do it.

Speaker 11 (53:30):
No way man.

Speaker 20 (53:31):
You know that's basically and that's basically an unqualified outcome
that you're leaving to come into your organization. That we
can't allow those that to happen. You've got to have
principles around that to be able to be able to
go and he sum Olton goes goes on about that
quite a lot. As you've got to train people very well.
You've got to make sure you're doing your change management
and adoption and dealing with people and making sure that

(53:54):
they're not fearful and all those sorts of all those
sorts of things as well as you know how you
know the technicalities of getting the best out of your AI.

Speaker 2 (54:02):
You know, Well, thank you so much, chef for calling
in with that. It's great to ge niques. But what's
the name of your operation?

Speaker 20 (54:08):
Well, jeez, plug plug we love a plug plug away.
Mine is called pro pro Gentic, pro ge Ntic progen
dot cog. Indeed we're based in.

Speaker 2 (54:19):
Cussia, Tugentic. All right, next one, appreciate it.

Speaker 4 (54:22):
What a great call. Thank you very much. Can you
hear from you? Oh eight hundred at eighty ten eighty
spit it out, tyler? What are you doing to future
proof yourself with the advancement of AI?

Speaker 2 (54:32):
Will AI destroy your job or make work more meaningful?

Speaker 4 (54:36):
Come on through, It's twenty four past two.

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Speaker 13 (55:32):
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Speaker 1 (55:33):
Afternoons, call oh eight hundred eighty ten eighty on News
Talk ZB.

Speaker 4 (55:38):
Very good afternoon to you. So is AI going to
create more jobs than it destroys? What do you reckon?
I eighte hundred eighty ten eighty is the number to
call these people?

Speaker 2 (55:46):
What are they again? That's the chief There's Diane Coyle
who's a at Cambridge Public Economics Advisor.

Speaker 4 (55:56):
YEP, and then there's Google's chief economist Fabian Quarto Mila,
who both are somewhat positive about the future of jobs
and AI.

Speaker 2 (56:05):
Well massively. They predicted AO well the egg that the
claims that AI will wipe out jobs are massively exaggerated.
They point to electricians and they say AI has created
the need for one hundred and thirty thousand additional electricians
in the coming years in the US, largely because they
need to build all the data centers and manufacturing facilities.

(56:27):
But what I say to that is what about I mean,
I've been looking at those Tesla robots that Elon musk
pumping out.

Speaker 4 (56:33):
And it's good for the Sparkys for a couple of years,
and that once those robots.

Speaker 2 (56:38):
Until the computers get hands. Yeah, I mean, I don't know,
maybe that maybe that'll never come. Maybe it'll maybe it'll
be as Juan said, it's got to be overseen. So
you just increase productivity. So you've got one knowledgeable electrician
and he's overseeing you know, ten terrifying robots.

Speaker 4 (56:56):
Have a human shepherd. Yeah, Oh, one hundred and eighty.
Ten eighty is the number to.

Speaker 2 (57:00):
Call, Jason, Welcome to the show.

Speaker 4 (57:04):
Hello, boys, how are you very well? You want to
kick back a little bit or on what one was saying?

Speaker 19 (57:09):
Yeah, I think he's just another one of these guys,
that's gone a man of money at AI. So I
mean everything he said was just backwards. It sounds like
a five year old talking. I mean, I don't mean
to be disrespectful because he can't not need to defend himself,
but you know he's basically saying that people are going
to be able to do more work.

Speaker 20 (57:27):
Well that's exactly right, Like.

Speaker 19 (57:29):
An accountant will be able to do twice as much
work because the information will get fed into AI and
it'll get spat out, which means half the accountants will
get laid off. I mean, I got it to write
me a letter of offer yesterday, which was well above
my pay grade. To write it was fantastic, and once
I got it, I just you know, the bells rang,
and I went through and peaked a few little bits

(57:50):
and pieces looked like it was written by bell gullies
in town.

Speaker 2 (57:56):
Do you still would you be confident enough to use
that without having someone qualified to go through?

Speaker 19 (58:04):
Absolutely yes. I mean, like I say, it run a
whole lot of bells, so there's a whole lot of
things that it came up with it I didn't think about.
So yeah, one hundred percent what I did of sorry
sent son.

Speaker 2 (58:20):
A situation where just everything gets done because generally speaking,
things are back backlogged and we're not getting through everything
we need to get done. So maybe a person teaches
their job but does ten times the work and then
everything and gets more efficient and productivity. Because one thing's
for sure in New Zealand's got terrible productivity.

Speaker 19 (58:39):
Well right now it can. It can make lawyers and
accountants a whole lot faster, and lots of other people
doing lots of other lots of other things can make
them a whole lot faster. In a couple of years,
that'll double. So instead of instead of it harving the
amount of lawyers'll it'll you know, there'll be only a

(58:59):
quarter as many, and it'll just get progressively more and more.
Like so all the white collar guys, it all have
mortgages and families and cars, and they're all getting laid
off any matter of time or or massively reduced because
each one of them will be able to do twice
as much work.

Speaker 4 (59:18):
Yeah, but that that human shepherd element, do you not
still think that will have to remain at some some
element there jasent When we talk about the legal reficion,
you say it's going to replace lawyers. So then what
happens to the justice system. Do the judges get replaced
by AIS? Is that AI trying to defend against other AIS.
You see what I'm saying is there's got to be
some controlsant place.

Speaker 19 (59:38):
Probably not, but judges will Judges will get AI to
write a lot of their reports so they'll be able.
There won't be anywhere there as busy, So you probably
won't need as many judges because you know the judge, right,
the judge will packed the notes, you'll feed in another
one that was similar, and the AI will spit it out.
Then he all goes through and do it in half
the time. So instead of taking a day to do it,
take a half day to do it.

Speaker 2 (59:59):
Yeah, that's an interesting point. Just for example.

Speaker 19 (01:00:01):
I mean, you don't need as many judges. And you
know that the roofer it's not going to fit roofing
at all, except all the lawyers in the accountants are
going to get laid off and they're the ones that
employ roofs to do their house up. So they're all
getting you know.

Speaker 2 (01:00:16):
They get yeah, yeah, I see what you're saying.

Speaker 19 (01:00:19):
It's going to fit everything. So all these guys that
come along, I think it's one of the most dangerous
things that's ever come. I think this is one of
the most dangerous things that's ever been invented or introduced
to humanity.

Speaker 2 (01:00:31):
So you don't buy the argument, Jason, that we've gone
through all these revolutions, the agricultural revolution, the industrial revolution,
the computerization since the nineteen seventies, and each one of
those revolutions has increased the amount of jobs. Because you know,
throughout a lot of these things, we've also had a
woman entering the workforce and greater numbers, and the number's

(01:00:55):
gone down. So do you think that, just to let
me finish, Jason, do you think that this is just
completely different than those other revolutions.

Speaker 19 (01:01:04):
Well, I'll give you an example. I think it's very,
very different, And I'll give you an example. You know,
like immigration has been great, you know, for a lot
of countries for a lot of years. But how do
you think, how did the Indians in America and what
do they think of immigration? Or they have original is
in Australia, what do they think of immigration?

Speaker 4 (01:01:25):
You know?

Speaker 19 (01:01:26):
So like you think, yes, these things can be great,
but also they can be disastrous. And I think this
particular one is going to be disastrous because it's literally
going to send huge portions of the of the workforce
to do the goal cues. And what's the lawyer're going
to do? I mean, he's a useless individual. You can't
dig a hole or put in a post or fix

(01:01:47):
a car. All he knows how to do is be
a lawyer for everything else.

Speaker 2 (01:01:51):
But isn't there a certain part of all these things,
which is the you know, we crave human interaction, and
a lot of what we do is how we socialize
with very social creatures. So a lot of what, a
lot of what what? What?

Speaker 10 (01:02:04):
What?

Speaker 15 (01:02:04):
You do?

Speaker 2 (01:02:05):
You think that's rubbish, You think that we're not social creatures.

Speaker 19 (01:02:09):
Not what we are.

Speaker 2 (01:02:09):
But you try living by yourself and how long would
you go living byself in the bush with GBT and.

Speaker 19 (01:02:16):
Listen, that's all lovely and romantic, but the reality is,
if some if there's a lawyer out there that can
reduce us operating cost of his business by fifty percent
by using AI and second half as lawyers and turning
over just the same amount of money, he's going to
do it every single time.

Speaker 4 (01:02:32):
M Well, Jason, I mean I'm not saying that you're wrong.

Speaker 19 (01:02:38):
It's not. It's just it's clearly the reality. It's already
happening right now.

Speaker 2 (01:02:44):
I mean, I mean, what what I mean? I pushed
back a little bit on on some of it. I
think I think in any revolution there are definitely winners.
There's definitely winners and losers. Jason, absolutely, But I think
that human side of things is incredibly important. Otherwise, why
do we go to why do we go to rock
concerts when you can hear that exact music on a
on a recording and played better because they've spent more

(01:03:06):
time playing it. So there is a huge part of
any bit of business and different ways of earning money
that are down to the human contact that we crave.

Speaker 10 (01:03:16):
I'll give you, I'll give you.

Speaker 19 (01:03:17):
I'll give you a really good example right of something
that's similar to this. Amazon. Amazon has started up and
it's become massive. And how many businesses in America has
put out a business shops and things. I mean, could
we say it's to put one hundred thousand businesses out
of business? Do you think that will be a fair
and a fair and reasonable number?

Speaker 2 (01:03:37):
But I believe it. I believe it. Jason, Well, it's.

Speaker 19 (01:03:39):
Me's say a hundred thousand, right, So one hundred thousand
mom and dads that don't have a job now, right,
And there's a small amount of senior management in Amazon.
Let's say there's five thousand small managers of senior management
and Amazon running the company.

Speaker 8 (01:03:55):
Right.

Speaker 2 (01:03:55):
Yeah. I mean you make a really good argument, Jason,
And that is definitely the other side to it that
these two people are trying to put up the other
one but have to go to the eat news headlines.
But thanks so much for calling, Jason.

Speaker 4 (01:04:07):
Yeah, good call. So one hundred and eighteen eighty is
the number to call love to hear your thoughts about
whether AI is going to take your jobs or create
new ones. It is twenty five to.

Speaker 13 (01:04:15):
Three deuce talks.

Speaker 14 (01:04:19):
There be headlines with blue bubble taxis, it's no trouble
with a blue bubble. Two Capra vans have rolled in
strong winds near Kaikoda, with one blocking State Highway one
near Hapuku River Bridge just north of Caikota. There are
no life threatening injuries. The persons died in Wellington this morning,
hit by a branch on a track on Mont Victoria.

(01:04:40):
Flights have resumed at Wellington Airport, but thousands of homes
in Wellington and Manawatu Huanganui have lost power. Further south,
flooding and slips have closed several main South Island roads,
including a State Highway seven and Lewis Pass. The Government's
appointing a Crown Facilitator to help White Taki District Council
add assessment of networks to its water service delivery plan

(01:05:04):
is required under new local Water Doune well laws. Torpedo
seven will return to being an online only retailer by
the end of summer. It was sold by the Warehouse
Group for one dollar in February last year, and christ
Church Central's labor MP Duncan Weber is calling it quits
next year. He's been in the job since twenty seventeen.

(01:05:25):
Alliance Farmers back two hundred and seventy dollar milliar is
two hundred and seventy million dollar deal for Irish company
to take control of meat processor. Find out more at
NZ Herald Premium. Back to Matt Eath and Tyler Adams.

Speaker 4 (01:05:38):
Thank you very much, Raylane having a good discussion about
AI and whether it will create or destroy jobs.

Speaker 2 (01:05:43):
So just to summarize what these two are trying to
say in this article, and then you know the high
level of economists you know, and one of them, of course,
is massively compromised because they work for Google yep, which
is a big proponent of AI. Obviously very true and
trying to make as much money as they can from it,
but this is their take. AI, like most technologies, will

(01:06:04):
transform but not destroy the labor market. It automates repetitive tasks,
freeing humans for creative and interpersonal work. New technologies historically
generate more employment than they displace, and AI will be
no different from engineers building data centers, to teachers using
AI tools, et cetera. With reskilling, societies can harness AI
to increase productivity, create higher value jobs, and improve quality

(01:06:27):
of life across the board.

Speaker 13 (01:06:28):
I get.

Speaker 2 (01:06:29):
The other side of it, which Jason was making was
that AIS scale and speed will outpace society's ability to adapt.
Unlike previous waves. It affects cognitive as well as manual work,
threatening white colstability. Retraining programs often sound promising, but they
fail to reach those most in need. Automation could concentrate

(01:06:51):
wealth and power amongst just the tech elites, hollowing out
middle class incomes without a proactive redistribution in public support,
AI could deepen the massive inequality and leave millions and
millions behind. So that's summary he's saying. So if you
have the Amazon thing, say for an example, it's an innovation,
hundreds of thousands of businesses potentially lost, and then as

(01:07:16):
a result, all those people that had those sort of
middle class jobs no longer hire the people to do that,
build the roofs on their houses, et cetera.

Speaker 4 (01:07:23):
Yeah, but it fails to take into account what I
think it is. It's a big pushback on our ever
increasing digital world. And you mentioned your kids in particular,
they talk about brain rot. They're very aware of that.
And study after study, this one here, so it showed
this is a UK study sixteen to twenty one year
olds found that forty six percent they would prefer to
be young in a world without the internet. So more

(01:07:44):
and more there's this pushback on that digital world and
the technology that is overwhelming us. And I know that's
clinging to a hope that may never eventuate, but I
still think that human connection is a big part of it.

Speaker 2 (01:07:56):
Yeah. Well, we'll be back in a couple of moments
with Jerry and Dominic, who are both pushing back on
a positive take on Ali.

Speaker 4 (01:08:02):
Okay, there's a big good nineteen two three, the.

Speaker 1 (01:08:05):
Big stories, the big issues and everything in between.

Speaker 13 (01:08:10):
Matt Heathan Tyler Adams Afternoons.

Speaker 4 (01:08:12):
US Talks, it'd be sixteen to three.

Speaker 2 (01:08:14):
The six says why will we need teachers when we
just ask Ai the answer? But that's just assuming that
all teachers do is in part knowledge from one to another.
I mean, teachers have a lot of roles mentors, emotional support,
human connection exactly. There's a lot that teachers do that
isn't that isn't just pure explaining of stuff in the world. Jerry,

(01:08:39):
your thoughts on this and welcome to the show.

Speaker 15 (01:08:43):
Oh yeah, it's really interesting. I'm enjoying it. I read
the article in the Herald. I thought it was a
good article, but with a very limited time frame. And yes,
I also thought Jason's comments were good. But also there's

(01:09:03):
a couple of things missing that are huge to me.
At least one is robots, how to robots that is
for this, Yeah, and that's sort of was popular, but
you know, it's sort of been overtaken by AI. But
I think if you really want to think it through

(01:09:23):
and think about things like, well, the only work left
is going to be manual laborers. Well, you know you've
got robots, you've got to factor them in.

Speaker 2 (01:09:32):
Yeah, I mean I was thinking the same thing. I
was thinking the same thing Jerry in the article when
it talks about one hundred and thirty thousand additional electricians
being needed in the coming years. And that's assuming, as
you say, Jerry, that they don't get to the point
where they can have robots that have hands that can
do that work.

Speaker 15 (01:09:49):
Yeah, and they'll be far beyond what we see now.
Another but I think probably in a way, the most
the bigger issue issue. And frankly, I mean I'm an
old guy. Ain't going to affect me little or none,
but I concerned myself with my kids and my grandkids.

Speaker 10 (01:10:08):
And that there's.

Speaker 15 (01:10:10):
Something called AGI. I think it stands for artificial general intelligence.
But it's where the intellectual cognitive ability of AI exceeds
that of humans. So we're already seeing things like computers

(01:10:33):
that can beat chess masters and things like that, and
they're very useful and it's expanding all the time. But
when you get to where AGI comes in, and you read,
depending on what you read, forecast go is that it
will be as little as five years or maybe the

(01:10:53):
longer ones that are you know, they're sensible or probably
out to maybe fifteen years, maybe twenty even. But that's
kind of at the end. So what does that employ
I would imply. I mean, well, it implies that that
the machines, you know, what is controlled by AI is

(01:11:15):
smarter than us. So the idea that we're going to
be using AI to do something for us, which we're
then going to modify. Like my daughter is a general
manager of a company and she uses AI a lot
and loves it, like for writing things like somebody earlier mentioned.
But she writes it, she gives it some directions on

(01:11:39):
what she wants to accomplish, and then it writes something
for her, and then she edits it and makes it
sure that it's consistent and sensible and is saying what
she wants it to say. Well, that's that's gone with AGI.
It's not going to work that way. It's not us

(01:11:59):
exerting using the AI as sort of a bit of
a cheap labor.

Speaker 2 (01:12:06):
Yeah. I mean, but I've sort of been reading quite
a lot on this, and you know, I'm quite obsessed
with the whole thing, but I'm not convinced, and more
people are becoming less convinced that a land large language model,
which is what chat, GPT is and Grockers and all
the AIS that we're using now, actually leads to artificial

(01:12:27):
general intelligence, that that is the path to it, because really,
what a large language model is is just you know,
breaking readable units of language into tokens and then the
probabilities of what's the next thing to do. So it's
an algorithmic reprocessing of information, right as opposed to artificial

(01:12:52):
general intelligence, which is something that's even quite hard for
us to define what it is. So as I read
about it, and you've got Sam Ackman, who's obviously the
CEO of Chat, GPT, open AI, and he's talking up
the large language model like it's heading towards AGI. But
I'm just not convinced. And I sort of see and look,

(01:13:15):
I'm no genius or expert on this or anything, but
I see a sort of a plateauing of the sort
of an exponential growth in the capability of large language models.
But I feel like it's tapering off a bit. So
what's your thought on that, Jerry? Do you think a
large language model can lead to AGI?

Speaker 15 (01:13:35):
That's probably above my pay grade. But in mind having
said that there, I read a recent article on them.
I'm probably this is the gist of it. I might
not have it exactly right, but it was talking about
people working on AI and they decided that they wanted

(01:13:58):
to go in a different direction.

Speaker 10 (01:14:00):
They wanted to.

Speaker 15 (01:14:01):
Explore another avenue for advancing AI.

Speaker 10 (01:14:07):
That would.

Speaker 15 (01:14:09):
I suppose you could say, obsolete the work that they
had up to that point. But they were doing that
in something that AI itself was involved in. Yeah, AI
AI started creating roadblocks what they wanted to do.

Speaker 2 (01:14:27):
I hear these stories.

Speaker 15 (01:14:29):
Yeah, now you think about that bit uh and and
what you're suggesting that this is not going to lead
to a big deal. I think I think it's Well,
if I was a doom sayer, which I'm not, but
if I was, I was at the end of the world, well.

Speaker 4 (01:14:45):
Yeah, okay, well yeah, that positive, Jerry. I mean just seriously, though,
if a g I, hypothetically we get to a G I,
I think it takes it takes it out of our
hands that at that point we've got very little control.

Speaker 2 (01:14:57):
When we have an intelligent intelligence that's exponentially going to
the point where we are like what answer to us, Yeah,
to the AHI in terms of our functionality is like
functionally to us. Then then that that definitely becomes a problem.

Speaker 4 (01:15:12):
Yeah, And we don't know what it will do when
we become.

Speaker 2 (01:15:16):
A rounding era for the success of uh, you know,
the planet, then that becomes a problem.

Speaker 15 (01:15:22):
Well, we don't, we don't know, and uh and it
can get very scary, and don't you know, you can
think of ways where where it doesn't become really.

Speaker 4 (01:15:35):
Scary, you know, as much.

Speaker 15 (01:15:38):
As I love you, like if you think of if
you think of Google and those people, I think they
and you you think about their not so much what
they're doing or what they believe, but what they want
people to to how they want them to view AI.
I don't think it's in their interest to start promoting

(01:16:00):
a g I if then I wouldn't, I wouldn't talk
about it. I'd be working furiously to try to be
the first off the block, but I wouldn't want to
talk about it. Yeah, some people will say I've heard
some people say, well, this is we just we just
need to regulate this. Well good luck, Yeah, I mean yeah,
and they've got to keep it in hands, keep it

(01:16:22):
out of the hand.

Speaker 2 (01:16:23):
Yeah, I'm sorry, Jerry, We've just got to go on
air break. But yeah, I get what you're saying. And
in this article is suspiciously written by a Google economist.

Speaker 4 (01:16:31):
Yeah, funny that it is eight minutes to three. Beg
very shortly, the.

Speaker 1 (01:16:35):
Issues that affect you and a bit of fun along
the way. Matt Heath and Tyler Adams Afternoons News TALKSB.

Speaker 4 (01:16:42):
News Talks the B five to three. A whole bunch
of tecks have been coming through A nine two ninety.

Speaker 2 (01:16:47):
Yeah, pretty bit to cut off Jerry for the ads
though he was a great chat. What a great call.
Thanks so much, Jerry. If you're still listening, guys, A
I was already taking jobs. This is text to Grant.
I was at a conference last week and they had
their UK businesses dial and their challenges ahead. Were clients
expecting lower cost due to the time to provide what
this global firm does along with managing the reduction and graduates.

(01:17:07):
It's real and it's happening now. Thank you for your text, Grant. Hi, guys,
AI will reduce the need for skilled people to do
mundane task, but those skilled people will still need to
provide assurance for those tasks. The worry is, this is
what Jason was at. The worry is that the companies
won't retain staff for assurance or have the subject matter

(01:17:28):
expertise at all. I mean, yeah, very easy. Just unplug
it and go outside, plant something and go fishing. People
have done it for thousands of years. Not a problem.
Go Bush, Yeah, go Bush.

Speaker 4 (01:17:38):
If only it was that easy. But it sounds pretty good.
We're going to carry this on because we've had so
many phone calls and thousands of decks. So I'd love
to hear your thoughts about AI and the rapid advancement.
Are you worried about your job? Do you think it's
going to create more jobs than it takes away?

Speaker 2 (01:17:53):
Kate thinks it's the end of all good. He's right,
it's the end of the world. We've created the next species.

Speaker 4 (01:17:59):
Quite possible, Quite possible. It's going to be an interesting
ride anyway.

Speaker 2 (01:18:03):
I don't think so, yeah, I don't think. I don't
think the large lam large language model get us here,
but yeah, to see more.

Speaker 4 (01:18:11):
Yep, new sport and weather is fast approaching. Oh, eight
hundred and eighty teen eighty is that number? Andrew was
standing by? But await right, here. We'll be back very shortly.
Great deby company as always, hope you having a pretty
good Tuesday afternoon.

Speaker 13 (01:18:28):
Your new home are insightful and entertaining.

Speaker 1 (01:18:31):
Talk It's Matty and Taylor Adams Afternoons on News Talk.

Speaker 4 (01:18:36):
Sebby Afternoon to you. Welcome back into the program and
the discussion we've been having on artificial intelligence. So fascinating
article penned by Google's chief economist Fabian Quarto Malay and
renowned British economist at Cambridge Diye and Coil about the
future of AI when it comes to the job market.
It's fair to say they are relatively positive about that future.

Speaker 2 (01:18:59):
Yeah. Absolutely, and look, as we said at the end
of last hour, one of them does work for Google,
which is heavily in the AI game. So it's masspromised,
you know, might be slightly comboguized. But their argument is
that predictions that AI will wipe out jobs exaggerate the threat,
and they talk about most past technological revolutions have actually

(01:19:20):
led to employment growth. They're talking about the industrial revolution,
agricultural revolution, and more recently the computerization revolution that started
in the nineteen seventies. They say three point five million
jobs were lost, but nineteen million jobs were created and

(01:19:41):
in their minds are just for an example, one hundred
and thirty thousand more electricians are needed to build the
data centers to run AI, which is interesting because if
what a lot of people are texting in, it's being
hired to build our own demise. But yeah, I mean,

(01:20:01):
and then but then you think about it, they say
that that what it means as there's a lot of
parts of most jobs, and so AI will take away
some parts of jobs, not all all of it. So
they say it's crucial that people train mid career for

(01:20:23):
AI and bring AI in so that they believe jobs
won't completely disappear, they'll just get more efficient. But as
a bunch of callers have been putting out the last hour,
what do efficiencies do? They often get rid of the
you know, for example, I was talking before about a
legal firm. I mean, you know there's a lot of

(01:20:44):
filing and a lot of research and sort of base
level entry level jobs and the legal firms that if
AI is doing that, then you know that is a
loss of job.

Speaker 4 (01:20:54):
Yeah, and how do you get people to advance? But
what do you say? O eight one hundred and eighty
ten eighty. Is that too much of a rosy outlook
or do you agree that AI could benefit the job
market in the long run.

Speaker 2 (01:21:05):
And I was arguing that social interaction and face to
face human experience was incredibly important. That's why we find
it valuable to go to an art gallery and look
exact while some of us do. It's more exciting to
see a painting that has actually been painted by a
human that it is to see the exact replication of it,
even if it looks identical. Undoubtedly, undoubted human connection is

(01:21:26):
important to us. But the stix says re AI. We
all want that social interaction of working with people, but
when it comes to parting with money, I bet most
of us will choose to use AI over the cost
of a human I'm a graphic designer and the future
does not look good for me. And this Texas says
work in the film industry and allland lots of chat
on set about the possibility of AI taking a lot

(01:21:47):
of our jobs. No need for construction or a lot
of the art department if it's good enough or they're
not ideal for us, Eils, welcome to the show.

Speaker 21 (01:21:59):
Good day, guys, Hey I just thought I had a
bit more context to your tunes in about fifteen minutes
ago and the discuss about a g I. And what
most people see is the public, public facing side of AGI,
and that's sorry of l lambs, and that's Chap, GPT,
grock A, claud et cetera, which are all very general

(01:22:25):
based AIS. But a lot of people don't understand the
the commercial activity is around AI at the moment, and
that's not large language models, or it is large language models,
but it's trained AI and what's called AI agents. So
our agents are specifically trained on one particular task like

(01:22:48):
not that not general. They're just focused on being experts
on a particular subject matter. Much so the train just
like you train any employee or any professional into that
into that specific knowledge base or that specific specific subject.
And then you have around AI space these protocols that

(01:23:10):
title these things together. People might not have heard of
things like a to A an MCP. So what A
to A is as agent agents. So you can have
an organization that's trained some AI agents on four particular tasks.
One might both be logistics, one might be human resource,
one might be an operations. They're not general, they're just

(01:23:32):
trained on those specific tasks and they tie them all together.
So you're not talking about going to chat GPT and
asking about some freighting issues for your particular company, because
it has no context. But when they're trained into specific
tasks with knowledge bases from the company organization, and they're

(01:23:52):
strung together, that's when you get some real power with AI,
not just the general LLM as you mentioned before, it
won't be taking anything over now. I think where it
impacts employment is a certainly low level job, low level admin,
data entry, et cetera. There's definitely going and is an

(01:24:13):
impact already in that space. And there's other elements as well,
So there's multimodal lms, which you know, image recognition, voices, recognition.
They will get mixed into the whole AI arena and
often lost in the scope of what AI can actually do.
So I don't think AGI is coming anytime fast. You know, generally,

(01:24:37):
I think we'll find AI built specifically around niches and
issues within organizations that AI can actually tackle.

Speaker 2 (01:24:48):
It's an interesting I see what you're saying, really interesting point.
I was reading this article fell and it was about
Apple and how Apple had invested more heavily in SLM
small language models sort of what you're talking about really
isolated on one task because the large language model, as
you say, has got a lot of functionality that doesn't
need uses a lot of our to to you know,

(01:25:12):
process a lot of information that's not directly associated with
the task you're doing and brings in a lot of
illusions and rubbish. But with what Apple's been doing is
training on just the information that this particular AI needs
to complete this small task and a lot of For
a lot of time, everyone was going on, Apple's missed
the boat on this AI thing, but an actual fact,

(01:25:34):
it's looking now that they just were like, well, there's
not a huge advantage of us to spend our resources
on the large language models. But exactly what you're saying
for really specific.

Speaker 21 (01:25:44):
The l lamb's well cooked, so to speak. They're getting
better and better. Everybody was excited. Ratio. Everybody's disappointed with
chat GBT five came out. Yeah, everybody's expecting a lot more.
But they were very clever and what they did is
they decided we don't need a big white l lamb
for general questions. We will critique the question or the
prompt that somebody's putting in and then we'll give it

(01:26:06):
the correct l LAMB for them. Now I did that
was a commercial decision for them because as you say,
it runs it there's a lot of give years involved
in and costs running just a general question about you know,
what should I give my dog for flea flea treatment? Right,
you know, there's there's a lot and so the public
generally see you know, AI as their own experience with it,

(01:26:30):
which is fair enough, that's all they can do. But
there's a lot of work going on in the background
between inference calling and also the knowledge base. And but
there's there's a lot of acronyms I could throw out
here which which went brought adding your value. What I
can say is that yes, small learning languages, small l
l ms and visual l lamps as well are all

(01:26:53):
starting to become very powerful. It's trained on specific tasks
and then if it's saved you a two A, which
is Google's protocol, which means agents can understand what an
agent is trained to do automatically. So you know, it's
a bit like somebody from Thing up with a CV.
How I'm on accountant, I've got an MBA and another
person turning up because I've got this qualification. So the

(01:27:16):
CV that takes what the LLM or the this train
the agent is trained to do, so that happens transparently.
So you're not dealing with a whole wide bucket of knowledge.
It's just individually trained specialists. And that's where when you
when you channel those together, that's when you get some
real power and automation. When I say automation, i'm talking

(01:27:38):
about outside of an LLM, where you can go through
a database, you can write an email, it can send
a text message, you can recognize a tree. Look Elon Musk.
You know what he's done with Tom was driving. If
somebody had said five years ago cars are driving themselves around,
they would have laughed at you. And now, well, I
dare say, I'm an advocate for them. But it's it's

(01:27:59):
safer than humans driving, you know, because we're and I
see it where it's where it's gone.

Speaker 4 (01:28:05):
So there's been some criticism and a lot of circles
around chet GPT and making it open source. Do you
see any danger with the journey that that chet GPT
has gone down? And do you think that is dangerous
opening it up and revealing that software to anybody who
has the skills to modify it.

Speaker 21 (01:28:26):
There's lots of open source l l M. Though the
reason there's controversy around that is because it was always
supposed to be open source. I mean, that's when that's
what upsets Elon.

Speaker 2 (01:28:37):
I mean, that's why it's called that's called open AI
for that reason. The idea was that they thought if
this was all open up, then there's a species, we
might be able to control it a little bit more
and everyone could see what was going on. But then,
like Sam Ackman, it's at some point when I'd like
to be a billionaire like Elon and and you know,
change everything.

Speaker 21 (01:28:57):
I think they've all made enough money out of it anyway,
And I don't think Elon's driven by making any more
money I think, And I'm not an Elon fanboard by
the way, but I like like what he does. Yeah,
so I mean it's exciting times.

Speaker 2 (01:29:13):
Look, do you think it's seen in the world, I feel,
do you think do you think no?

Speaker 21 (01:29:18):
I think there's Look when we start getting into the robotics,
which is nobody actually sees the development that's happening now,
and believe you me, it's getting quite scary. What robotics
are doing now trained by AI. That's I think that
to me, that's when the physical AI becomes has physical ability.
I think that's a little scary, but AI as the

(01:29:40):
learning language models and that doesn't scare me at all.
I look at it, do my job away. In fact,
the business I'm involved in is writing my job out
of the equation. You know, we do software development, and
believe you me, everything's changed in six months. In the
last six months. It's it's alarming. So there are a

(01:30:02):
few industries and professions that are going to be hit.
But on top of that, there still needs governance over
at they still need training. But I think the low
level jobs, certainly low level admin and data entry, and
with a little bit of automation, those low level jobs
will be augmented with certain AI agents, but not just

(01:30:27):
you know check GBT.

Speaker 2 (01:30:28):
Yeah, well, thanks so much for your call, Phil, appreciate it.
This text has said, Hey, guys, my sister in law
works in the adult entertainment market. She makes twice as
much as someone making regular adult entertainment. It's a booming
market that's doubled in size in twelve months.

Speaker 4 (01:30:43):
Well done her, Oh one hundred eighty ten eighty is
the number to call artificial intelligence. Do you think it
is coming for your job or do you think it
has the potential to create more jobs? Love to hear
your thoughts. It is nineteen past three, stalk Sid be
good afternoon. It is twenty one past three.

Speaker 2 (01:30:58):
In a minute, I read out a text from Paul,
who did his masters in aid Oxford, and he is
discussing what I was saying, that large language models are
unlikely lead to agl Agi is on another past but Dominic,
welcome to the show.

Speaker 16 (01:31:13):
Hey, thanks having us, love the show, love you your
gros positivity and energy.

Speaker 2 (01:31:17):
Oh thank you so much, Dominic, and thanks for ringing.

Speaker 16 (01:31:20):
Oh pleasure now and I run away better go. So
I'm just coming in a little bit behind a few callers,
I think. So it was just one of your mates
new call Stack was saying, you know that a one
hundred thousand people lost their jobs because of something or
other that that happened, but most of those people would
have picked up other jobs and what they call it

(01:31:41):
the big key word, the old pivot moved into other
things or used other skill sets. When you were also
chatting about the ages like the Industrial Revolution and revolutions
that have come in the past and how human race
has always done better off as a result of that.
And you're you're exactly right, but our education system keeps

(01:32:03):
up with that. So when you know, our edge education
was formed, it was based on the Industrial Revolution, and
we're still somewhat in that age and we are moving
into an information technology age, so we are moving into
a completely different age, and our education is lagging behind

(01:32:25):
the world that we now face face ourselves in.

Speaker 2 (01:32:28):
If that makes sense, Yeah, it does. I've got a
question for you, though, Dominic. You know, we had the
we had the Industrial Revolution, and manufacturing was a big
part of things. And then I remember, and I'm not
sure which which parties said it, which government said it,
but do you remember a lot of talk about the
knowledge economy and New Zealand becoming a knowledge economy? That
was that was a big buzzword for a while. You

(01:32:50):
don't fear that we got rid of the engineering because
we were going become a knowledge economy. And then AI
comes along and that wipes out the use of knowledge
and the use of a knowledge economy. And if we've
got rid of the engineering, then then and the knowledge
of column what have we got left.

Speaker 16 (01:33:12):
Yeah, I mean it's suppose fair is not a word
that I'd probably use, but it's more we've always evolved
as a species and our education systems kept up with that.
As you said, you know, the whole ringing bellels and
the industrial side of things that are now and are
completely different. Like there's so much knowledge and information you

(01:33:33):
can that's never been We've never had more access to
it at the touch of a finger. We've never been
more knowledgeable. It's how we use it and what we
do with it that's the most important thing. And a
few of your your callers, they all hit the nail
on the head. It's it's keeping the creativity and the
human aspects of things, and I think that's that's crucially important.

(01:33:55):
And I think you know, the arts and sports plays
a huge role in that where that's for people develop
that connectivity, that those negotiation skills, the ability to work
as a team and be human.

Speaker 2 (01:34:09):
Yeah, I mean, there's not much point in any of
it and ass with the nes we're interacting with other humans.
And I think that any economy has to take that
into a into account. So the thing about humans is
when wherever there's there's certain amount of inefficient. There's a
certain amount of inefficiency in being a human, and that
is because we we crave, you know, those things like
you know, the love of a parent for a child,

(01:34:30):
and the and the and the time of their friends
and and you know, in any given job, like say
Matt and Tyler afternoons, a huge part of it is
just Tyler and I hanging out before we're on here.
I mean, it's not hugely efficient, we hang out before
the show, but you see see what I mean. I
think humans will push back on full efficiency because it
doesn't leads to the emotional outcomes we want.

Speaker 16 (01:34:56):
Yeah, that's that's exactly right. We're society creatures, so that
our connection and belonging and that's that's crucially important. I
just think that our our education system, and they're currently
reviewing it, and it seems that we're going backwards based
on you know, certain things that they're trying to do,
where I think we need to have more connection and

(01:35:17):
more human aspects of it. Embrace the technology utilized that
you know, they're canceling it in everything. It's almost like
it's a taboo language.

Speaker 10 (01:35:31):
Yea.

Speaker 11 (01:35:31):
The water cornerans, Oh.

Speaker 2 (01:35:35):
Yeah, I agree with you one hundred percent on it. Yeah, yeah,
I mean there's no point in not embracing it because
it's coming, whether you like it or not exactly.

Speaker 4 (01:35:41):
But their point on you know, that's a deep biological words.
We have to have that connection. Without that connection, our
mental health and and our whole biology starts to fall apart,
no doubt about that. You go and live in the
middle of the woods without any social connection and see
how well you fear. But that's why I think that
is a big part of it. And I say that
because I'm feeling that with a technology boom that is
happening around me, I'm starting to push back. I'm not

(01:36:02):
using my phone as much. I'm doing the raw dogging
that you introduced me to, which is fantastic trying to
and I hope that is gonna save us from this
AGI who may treat us as dex It is twenty
seven past three.

Speaker 22 (01:36:16):
Back with more of your calls, very shortly, Matt Heathen,
Tyler Adams afternoons call oh eight hundred eighty ten eighty
On News Talk ZB, Paul says.

Speaker 2 (01:36:29):
I did my master's in AI at Oxford and we
were looking specifically at general AI, not much has changed
apart from the database sizes and accessibility through fast processing speeds.
So he was there thirty five years ago and not
much has changed in his opinion in thirty five years.
The next advances will come through advances in software and
algorithmic advances, But for now it's all what's called narrow AI,

(01:36:50):
most task specific, but very good at polling these capabilities
to mimic general AI.

Speaker 10 (01:36:56):
Yeah.

Speaker 2 (01:36:56):
I think we get confused because it feels like it's
general AI, and we think that it's it's they call
it the singularity. We feel like it's a personality, and
we feel like it's being intuitive and creative. But it
is still a large language model that is just creating
tokens out of out of words and predicting the probability

(01:37:18):
of the next the next token popping up. Yeah, so
it's still algorithmically, just a probability machine.

Speaker 4 (01:37:25):
Yep, exactly.

Speaker 2 (01:37:26):
The six says three AI. I'm a sparking and one
of my clients used an AI robot. It got stuck
under the house and rusted. It's still there and job
not done. I'm ignoring their calls.

Speaker 4 (01:37:37):
Thank you very much for that. I'll take you.

Speaker 2 (01:37:39):
I'll take you on your word. This sixer says, Hey guys,
I take a negative outlook for AI. I believe in
forthcoming years this will be very detrimental to society, employment,
mental health impacted as well as for new jobs will
be created.

Speaker 21 (01:37:52):
Wow.

Speaker 2 (01:37:52):
What a load of nonsense. Cheers Troy, Thank.

Speaker 4 (01:37:54):
You, thank you for that rosy outlook. We're going to
keep this gowen after the headlines with Raylene which is
coming up, but keen to get your views AI. Oh
wait one hundred and eighty ten eighty do you think
it's got a potential to create jobs or destroy them?
And are you worried about your job?

Speaker 13 (01:38:10):
Us talks at be headlines.

Speaker 14 (01:38:12):
With blue bubble taxis it's no trouble with a blue bubble.
Strong winds are fanning fires in Canterbury at Harpuku north
of Caikoda and on christ Church's Russley Road. The wind
has claimed one fatality, with a man dying in Wellington
this morning after being hit by a falling brandt. A
person has also been seriously injured in hawks Bay's at

(01:38:33):
Tuckapo when a truck rolled in a gust. Another trucks
tapped in the wided upper and two camber vans have
rolled near kaikoder one is blocking State Highway one near
Hapuku River Bridge. Flooding in slips of close several main
South Island roads, including State Highway seven and Lewis Pass. Meanwhile,
almost a dozen cars have reportedly been burnt in Faraday

(01:38:56):
Hospital's car park, with the blaze now contained. Fire and
Emergency says an investigator will be looking for the cause.
The Public Service Commissioner working on teachers bargaining agreements one
be in the country during Thursday's mega strike. The commission
says his location is irrelevant. Is he still working and
leading bargaining our in z host set to lose role

(01:39:18):
amid cost cuts at public broadcaster. You can see this
and more from media insider it in said Herald Premium.
Back to Matt Eath and Tyler Adams.

Speaker 4 (01:39:27):
Thank you very much, Rayleen. Having a great discussion about
artificial intelligence and whether it will create jobs will destroy jobs.

Speaker 2 (01:39:33):
Brendan says, Hi, if AI will be so efficient at
taking over the work we do now, then it should
be even better at identifying suggesting jobs that people could do.

Speaker 4 (01:39:41):
That's a good point. Yeah, it may help in that arena.

Speaker 2 (01:39:44):
Hey, Matt and Tyler AO reminds me of when the
blow up doll came out and was going to replace
my wife, but that never happened. Cheers, Well, well, it's
glad to hear that.

Speaker 4 (01:39:52):
Yeah, it's an interesting analogy. But I mean, I think
I'll follow you there.

Speaker 2 (01:39:56):
The block doll was never going to replace your wife, no,
but the ai AI bots yeah yeah, could well do
George one with the show.

Speaker 3 (01:40:07):
Yeah.

Speaker 23 (01:40:10):
Yeah, very interesting subject and you've watched to develop over
the last twenty odd years from very simple beginnings where
you're talking about it every day now, and I guess
I've got a couple of worries. I've been involved with
automation basically all my working lives since the nineteen seventies,
and much things developed. The ideas of what you can

(01:40:34):
do with automation have always been there because you've always
waited for the technology, either in processing power or the
actual software to develop. But where you are now, I
believe is you've got the software is there, processing powers there,

(01:40:56):
and you've got the different intelligence which has only algorithms
that the software writers have written. But they are at
the stage where they can talk to each other and
it's develop things so rapidly that I honestly don't think
that anyone trying to regulate it or keep up with it,
it is going to be able to control. It just

(01:41:18):
has the ability, I believe, to run away with itself.

Speaker 2 (01:41:21):
George, what areas did you work? Do you work in
an automation as it was it? Manufacturing or what areas
of automation?

Speaker 23 (01:41:28):
Yeah, manufacturing automatic processing gear and robotics and so forth,
packaging equipment and things. And did a little bit of
software myself, and not much. Most that I work with
the software boys they specialized that, but we were always
waiting for the processing power and things to do what

(01:41:52):
we wanted to do and the rates we could do
it to the point where the data storage farms thinks
that you've got now and this is about five or
eight years ago, we're consuming more electroc from what I
understand is the country of Japan, and here we are

(01:42:13):
we have developed even further from that, and it's probably.

Speaker 10 (01:42:16):
Ten many old more than.

Speaker 23 (01:42:18):
That again now and so the storage of data is
what your AI dips into. To compare a photo of
someone's lunch over and France compared to someone's linking lunch
over and with this, danbold And says yeah, this is
common or that's not so cause or a recipe here
and a recipe here, or biology or training up. So

(01:42:44):
that depth of storage is crucial for AI to work.
But it's just taking so much more, so much more
data farms, work and communications. It's as I say, what
excuse me, is it's going to run away with yourself.

Speaker 2 (01:43:01):
And you're in your area though you would be with
the automation, wouldn't you be utilizing small language models, isolated systems.

Speaker 11 (01:43:12):
Uh.

Speaker 23 (01:43:12):
Yeah. We competed against companies like Semens, and those sorts
of things were there. What you started off causing, say
PLCs and stuff, so that was sort of fixed logic
and a fixed box full of ligand intelligence and that
was it. But that stuff now all is all online

(01:43:34):
and it's all going back to central PLATH storage SYS
and and so that's all developed. And you know, you've
only got to look at your phone five years ago.
If you took a photo, it was about one gigabyte sorry,
one megabyte photo, and now you look.

Speaker 10 (01:43:52):
At it and it's five. So that's five. The storage.

Speaker 2 (01:43:59):
About just deleting all your emails and the difference that
if you want to do something, if you care about
the environment and carbon footprints and stuff. Just emptying your emails,
your gmails, so you've only got the ones you need.
Otherwise they're sitting there storing, and it's being stored.

Speaker 23 (01:44:14):
Okay, okay, let me talk to you about that. I
did that about a year or so ago. Three months
after I did it, I got an email asking me,
did I really want to delete those notes and would I.

Speaker 10 (01:44:27):
Like to make Yeah?

Speaker 3 (01:44:30):
Yeah, So they just kept it in the background.

Speaker 23 (01:44:32):
There's a parallel storage of all those files right point.

Speaker 10 (01:44:36):
Yeah. Yeah.

Speaker 4 (01:44:37):
But the problem is, yeah, the problem is, George, is
we've got to keep up right where with the business
that you're in, and it's been a criticism of what
we do here in New Zealand when it comes to productivity.
We've got to keep up with those advancements and technology
because that's what other countries are doing, or else we're
going to fall behind. So we can't just stop and
say we're weary of where this goes, we're not going

(01:44:58):
to do it anymore. We have to keep going.

Speaker 23 (01:45:00):
Oh yeah, I agree that. The other that's one aspect
that worries me. The other aspect is that where we
haven't mentioned the fact that everyone's assuming that AI is going.

Speaker 10 (01:45:13):
To be used for good. Yeah, there's to be a small.

Speaker 23 (01:45:17):
Section of the community out there rub in their hands
with glee. Yeah, I mean you're just logging the scams.

Speaker 10 (01:45:22):
It's hopeful to go.

Speaker 23 (01:45:25):
Fall section of the community. They just want to rehab it.

Speaker 4 (01:45:28):
Yeah, and oh yeah everybody else.

Speaker 2 (01:45:32):
I totally agree George that that's the that's the part
of it that it's scary to me because there's some
people that will use it for good and productivity. There
was some people that will use it for for direct
evil purposes. But there were some people like the Joker
and the Dark Night that just start fires to watch
the world burn. And they are the really terrifying people.

Speaker 10 (01:45:51):
They're all I needed was a box of matches.

Speaker 4 (01:45:53):
Yeah, yeah, yeah, yeah exactly.

Speaker 2 (01:45:55):
But just finding before we let you go, George and
your automation. Obviously there's the hardware and the software. So
once you've invested in all the the hardware with these
massive advantage advances in in the software part of it,
in the automation, is the hardware up to it or
are you always having to rebuild all the hardware.

Speaker 23 (01:46:16):
It's sort of all going to develop alongside it. I
mean I got involved in the apple industry back in
the nineteen seventies and when electronic fruit sizing it and
color sorting it, things got brought out. And ever since
the nineteen eighties has always been talked about.

Speaker 10 (01:46:34):
Color sorting and DEFX sorting.

Speaker 23 (01:46:36):
And so forth, and it was always a possibility, but
under laboratory additions. And you know people go on about, oh,
we're going to robot pick the apples and the orchids
and so forth. Well, again under robotic condition or the
sort of lab conditions, yes you can. But to process

(01:46:57):
the data to keep up with a human that can
pick an apple to side, whether it's the rip rightness
is okay, whether there's any blemishes on it, and so more, at.

Speaker 10 (01:47:09):
A rate that a machine can do it.

Speaker 23 (01:47:11):
You still haven't gotten the processing power available.

Speaker 2 (01:47:15):
Yeah, thank you so much for you call, George.

Speaker 4 (01:47:16):
Yeah, incredibly interesting.

Speaker 2 (01:47:17):
So we're just shoving food in our faces and that's
how we run the processing power. So we're still pretty
efficient in that regard, if.

Speaker 4 (01:47:23):
You nicely said, it is eighteen two four back with
more of your calls, and there's a lot of them
coming through very shortly.

Speaker 1 (01:47:30):
Matt Heath Tyler Adams taking your calls on eight hundred
and eighty ten eighty. It's mad Heath and Tyler Adams
afternoons news talks.

Speaker 4 (01:47:38):
They'd be for a good afternoon to you. It is
a quarter to four.

Speaker 2 (01:47:42):
Mike, welcome to the show. We're talking about AI and
it's taking of our human jobs.

Speaker 24 (01:47:49):
Yes, hey, yeah, good afrites. I don't believe that eventually
beat the priests jobs. You know, just like know what's
happening in McDonald's, you know to go there.

Speaker 16 (01:48:01):
You just under it.

Speaker 24 (01:48:02):
In the sobsquios right, the Hunter people is gone. For example,
the there's a warehouse he really you shouldn't the adgenal
warehouse and all of the you know, it's automitted. It's
that they're hiring hips of humans doing the warehouse jobs.
They don't they don't need to so this, you know,

(01:48:24):
unlike before. That's what you're saying that in the feral revolutions,
they invented washing machines, they invented things that help us
make our lives easier. Now we are threatened to lose
our job.

Speaker 2 (01:48:38):
Yeyeah. But you don't you don't think that there's that
you don't think there's other jobs that will be created.
By AI, so you may get rid of Ye.

Speaker 24 (01:48:51):
I'm going on that path that the problem right now
that we have we're fishing is based on our population.
You know, overall populations on Earth that there's so many
humans than than the jobs that you know, the job
that will replace.

Speaker 10 (01:49:10):
It's much more.

Speaker 24 (01:49:12):
I don't think that we have enough just like here
you're in it. Like now we don't have the problem,
but we don't have enough jobs to supplay for those
people right now they don't have a job on more
is a what's here?

Speaker 3 (01:49:26):
We lose more jobs?

Speaker 4 (01:49:27):
Yeah, but the idea, and this is quitely a feel,
but the idea of value might be changed drastically in
that situation. Like if AI does start to take all
of the jobs and we value that on productivity, so
that picks up that value proposition, then our value arguably
becomes human connections. So there may be other jobs that
pop up or that you can bring value to as

(01:49:48):
a human being that the AI has taken a productivity
side of things away.

Speaker 24 (01:49:52):
Yeah, I just hope that you know, the AA will
take the jobs that the hard jobs, the easy jobs.

Speaker 4 (01:50:00):
That would be nice of it if it takes the
hard job that.

Speaker 24 (01:50:05):
I mean, you know, it's the commers of this, ay,
you know, come.

Speaker 2 (01:50:11):
On, that's yeah that I find that very annoying.

Speaker 24 (01:50:15):
I mean the graphic ents, not jobs, the people you
know that, theors, you know, those things that come on
you know.

Speaker 2 (01:50:23):
Yeah, I agree, Mike. And YouTube's pushing back on that,
which is I guess ironic because Google such owns YouTube,
the ABC and there are the Alphabet group. But they,
you know, are demonetizing anything that's AI.

Speaker 4 (01:50:38):
Which is great.

Speaker 2 (01:50:39):
I mean it has to be real people talking real
stuff into real cameras. Arouse, They're not going to pay
you any money, which may be which may be maybe
a financial proposition for them. But I mean if I
see some if I see anything that's generated by AI
in a movie and advertising or whatever, it just puts
me off that, you know, because I guess the idea

(01:51:00):
is that, you know, AI automates repetitive tasks, but in
the dream world, it would free up you for creative
and social and interpersonal work, right.

Speaker 4 (01:51:11):
Yeah, So the idea of value just might change into
those creative outlets that only us humans can do. For
the time being anyway, and unless AGI gets developed, and
there's still a lot of question marks on that a
couple of texts before we get to the ads. This
one says, Guys, I think AI will create jobs for
as long as AI centers are being constructed and commissioned, etc.
Of course, AI will also result in job losses. My

(01:51:34):
concern is if we build these power hungry monsters here,
they should have to have their own power generation. A
chat GBT search uses ten times more energy than a
Google search. Can't see AI driving my truck anytime soon,
so I feel pretty secure right now.

Speaker 2 (01:51:48):
Yeah, well, I mean, have you seen there's a lot
of trucks being driven in China AI trucks, I imagine several.
I managed several websites as the text that would occasionally
call upon a freelance developer to update and add additional
features to this website. Over the past year, I have
used chat gbt to do this instead, so no longer
hire the developer. Chat gtb is fast, it provides cleaner code,

(01:52:08):
and is free. I feel bad for not providing work
for the developer now, but it's the way the world
is going. Brian says that bruce your thoughts on this.

Speaker 25 (01:52:18):
Okaday, how are you guys?

Speaker 4 (01:52:20):
Fantastic awesome?

Speaker 25 (01:52:22):
First time called just a couple of points I want
to make. I read an article recently from Harvard and
they have predicted that AI will take away three hundred
million dollar jobs globally and create eighty nine million jobs globally.

Speaker 4 (01:52:39):
Right, it's a bit of a shortfall.

Speaker 25 (01:52:41):
Bit of a shortfall. And the other thing I was
at a seminar about three weeks ago from a guy
from the States talking about AI in my profession, and
he said, the biggest consumer we've got is that older generation,
people who you know, have got a bit of wisdom,
will use AIA in a responsible way to actually do
the work that computers do. But the consume was the

(01:53:04):
younger generation coming out of school will actually use a
I had to actually for computers to do the work
that humans need to do. And his last word of
warning was use computers for computer work and humans for
human work.

Speaker 2 (01:53:19):
So human work is what is it? Social work? Of
personal work? That kind of thing creative?

Speaker 25 (01:53:29):
Yeah, creative work and work that actually involves emotional critical
thinking and so forth. And this was just recently. I
had one of the young guys as simple as this
in my athleticscope. He put his training program into and
I and asked it to tell him what his speed

(01:53:51):
was going to be in a sprint in two weeks time.
I expected out a really ridiculous figure for him in
his sprint, which he said, Wow, I'm going to be
really fast, but the year and I said to the
young guy, that is totally ridiculous.

Speaker 7 (01:54:08):
Going to achieve that?

Speaker 25 (01:54:09):
Yes I will because AI?

Speaker 2 (01:54:14):
Yeah, there, what you actually need is a buddy to
do it with. Really yeah, because you know there's no
doubt that AI is, you know, changing everything. And these people,
these optimists, this article reckon it's going to free us
from drudgedy, drudgery and fulm creativity, a booming productivity and
new kinds of jobs. And they say that we've been
through lots and lots of these revolutions and it's just

(01:54:38):
created opportunities. But you know, the skeptics say that it
could be very different, and it's moving faster and hitting
white collar jobs and deepening inequality unless governments do something
to step in and businesses train people up.

Speaker 4 (01:54:51):
So who knows, Yeah, who knows? The brave new worlds?

Speaker 2 (01:54:54):
So many people writing different arguments about it. It might
just be too complicated for anever us to predict what's
going to happen. Maybe awesome, maybe terrible, maybe kind of
the same as it is now, who knows? Maybe beije.

Speaker 4 (01:55:06):
What a beautiful place to leave it. Right there is
seven minutes to four back very surely the.

Speaker 1 (01:55:12):
Big stories, the big issues, the big trends and everything
in between.

Speaker 13 (01:55:16):
Matt Heath and Tyler Adams Afternoons Used Talk said.

Speaker 4 (01:55:20):
Be very good afternoon to you. It is five minutes
to four.

Speaker 2 (01:55:24):
That brings us the end of another fantastic Matt and
Tyler Afternoons on News Talk Dead b thank you so
much for all your calls and texts. It's been quite
a show. Actually loved it. There's been a lot going
on in it's The full podcast of the show will
be out very soon if you want to relive the
magic or you missed anything. The Mighty Sir Paul Holmes

(01:55:45):
Broadcast of the Year. Heather duples the Ellen is up next.
But Tyler, why am I playing the song?

Speaker 4 (01:55:50):
I know it's the bed Boys, but I don't know
what it's called.

Speaker 2 (01:55:52):
It's brass Monkey by the Besie Boys.

Speaker 4 (01:55:54):
Oh cold enough to freeze the bulls off A brass Monkey,
I think, Kate said yeah, and and we had a
great chat about brass monkey fridges and also emergency prepared.
This guest a lot of very prepared people.

Speaker 2 (01:56:08):
Yeah, if it, what is the brass monkey and what
does freeze the balls off a brass Mike?

Speaker 4 (01:56:11):
You mean, I don't know. I couldn't understand what Kate
was saying. Now I just love the line.

Speaker 2 (01:56:14):
It was the brass container that whole held the cannon
balls on chests out and when you freeze the balls
off the brass monkeys, it's when the balls popped up.

Speaker 4 (01:56:23):
Glad you're listening. I got distracted when you see brass
monkeys started talking about balls, But I'm glad you were listening.

Speaker 2 (01:56:28):
Good effort to thank you. All right, until tomorrow afternoon,
wherever you are, what are you doing across this great
nation of ours?

Speaker 4 (01:56:35):
Give my taste a Kimi?

Speaker 13 (01:56:36):
All right?

Speaker 2 (01:56:36):
You're seeing busy?

Speaker 13 (01:56:37):
Will let you go?

Speaker 4 (01:56:38):
Love you

Speaker 1 (01:56:51):
For more from News Talks'd be listen live on air
or online and keep our shows with you wherever you
go with our podcasts on iHeartRadio
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